diff --git a/.drone.yml b/.drone.yml
index a0a9d35..85e5d4e 100644
--- a/.drone.yml
+++ b/.drone.yml
@@ -20,7 +20,7 @@ volumes:
path: /data/drone/docker/sock
- name: node
host:
- path: /data/drone/node_modules-navigation
+ path: /data/drone/node_modules-navigation-customer
- name: localtime
host:
path: /etc/localtime
@@ -94,6 +94,7 @@ steps:
mirror: https://docker.mirrors.ustc.edu.cn
commands:
# npm打包
+ - npm config set registry https://registry.npmmirror.com/
- npm install
- npm run build
- chown -R 1000:1000 ./
@@ -135,7 +136,7 @@ steps:
commands:
# # 自动授权
# - export projectCode="projectCode=project-inluar4ppcxvciefgb_ila"
- - export name="导视_测试版" # 应用名称（自行填写 必填）
+ - export name="永旺集团顾客心声大屏展示端标准版_测试版" # 应用名称（自行填写 必填）
- export version=$(cat .tags) # 应用版本
- export sourceId="8" # 应用来源id（默认为8 即测试环境专用） //如需更改查看测试环境平台级下应用管理新增应用的/api/platform/v1/platformProgram/platformProgramAdd接口
- export genre="localpack" # 应用类型 本地资源包 [outchain, localpack]
@@ -157,7 +158,7 @@ steps:
cdn_url: 'https://qianmu-iot.1000my.com'
# genre: "Samsung"
commands:
- - export name="导视_正式版" # 应用名称（自行填写）
+ - export name="永旺集团顾客心声大屏展示端标准版_正式版" # 应用名称（自行填写）
- export version=$(cat .tags) # 应用版本
- export sourceId="3" # 应用来源id
- export genre="localpack" # 应用类型 本地资源包
@@ -174,7 +175,7 @@ steps:
image: lddsb/drone-dingtalk-message
failure: ignore
settings:
- token: dingTalk token #具体项目钉钉群机器人token
+ token: 55049b40bd6eb17aea64e113af2d55d581159292eb85a071afa76c7e0562020d #具体项目钉钉群机器人token
type: markdown
message_color: true
message_pic: true
diff --git a/index.html b/index.html
index 79757b0..a888544 100644
--- a/index.html
+++ b/index.html
@@ -5,8 +5,6 @@
Vite App
-
-
diff --git a/package-lock.json b/package-lock.json
index d65f466..d155106 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -11,19 +11,11 @@
"@better-scroll/core": "^2.5.1",
"@better-scroll/observe-image": "^2.5.1",
"@better-scroll/scroll-bar": "^2.5.1",
- "@sentry/integrations": "^7.102.0",
- "@sentry/vue": "^7.102.0",
- "@vueuse/core": "^10.8.0",
- "animate.css": "^4.1.1",
"axios": "^1.6.7",
"lodash-es": "^4.17.21",
- "lottie-web": "^5.12.2",
- "pinia": "^2.1.7",
+ "pinia": "^2.2.0",
"swiper": "^11.1.1",
- "vue": "^3.4.15",
- "vue-i18n": "^9.9.1",
- "vue-router": "^4.2.5",
- "vue3-lazyload": "^0.3.8"
+ "vue": "^3.4.15"
},
"devDependencies": {
"@commitlint/cli": "^18.6.1",
@@ -1183,47 +1175,6 @@
"integrity": "sha512-6EwiSjwWYP7pTckG6I5eyFANjPhmPjUX9JRLUSfNPC7FX7zK9gyZAfUEaECL6ALTpGX5AjnBq3C9XmVWPitNpw==",
"dev": true
},
- "node_modules/@intlify/core-base": {
- "version": "9.9.1",
- "resolved": "https://registry.npmjs.org/@intlify/core-base/-/core-base-9.9.1.tgz",
- "integrity": "sha512-qsV15dg7jNX2faBRyKMgZS8UcFJViWEUPLdzZ9UR0kQZpFVeIpc0AG7ZOfeP7pX2T9SQ5jSiorq/tii9nkkafA==",
- "dependencies": {
- "@intlify/message-compiler": "9.9.1",
- "@intlify/shared": "9.9.1"
- },
- "engines": {
- "node": ">= 16"
- },
- "funding": {
- "url": "https://github.com/sponsors/kazupon"
- }
- },
- "node_modules/@intlify/message-compiler": {
- "version": "9.9.1",
- "resolved": "https://registry.npmjs.org/@intlify/message-compiler/-/message-compiler-9.9.1.tgz",
- "integrity": "sha512-zTvP6X6HeumHOXuAE1CMMsV6tTX+opKMOxO1OHTCg5N5Sm/F7d8o2jdT6W6L5oHUsJ/vvkGefHIs7Q3hfowmsA==",
- "dependencies": {
- "@intlify/shared": "9.9.1",
- "source-map-js": "^1.0.2"
- },
- "engines": {
- "node": ">= 16"
- },
- "funding": {
- "url": "https://github.com/sponsors/kazupon"
- }
- },
- "node_modules/@intlify/shared": {
- "version": "9.9.1",
- "resolved": "https://registry.npmjs.org/@intlify/shared/-/shared-9.9.1.tgz",
- "integrity": "sha512-b3Pta1nwkz5rGq434v0psHwEwHGy1pYCttfcM22IE//K9owbpkEvFptx9VcuRAxjQdrO2If249cmDDjBu5wMDA==",
- "engines": {
- "node": ">= 16"
- },
- "funding": {
- "url": "https://github.com/sponsors/kazupon"
- }
- },
"node_modules/@isaacs/cliui": {
"version": "8.0.2",
"resolved": "https://registry.npmjs.org/@isaacs/cliui/-/cliui-8.0.2.tgz",
@@ -1638,139 +1589,6 @@
"integrity": "sha512-RbhOOTCNoCrbfkRyoXODZp75MlpiHMgbE5MEBZAnnnLyQNgrigEj4p0lzsMDyc1zVsJDLrivB58tgg3emX0eEA==",
"dev": true
},
- "node_modules/@sentry-internal/feedback": {
- "version": "7.102.0",
- "resolved": "https://registry.npmjs.org/@sentry-internal/feedback/-/feedback-7.102.0.tgz",
- "integrity": "sha512-GxHdzbOF4tg6TtyQzFqb/8c/p07n68qZC5KYwzs7AuW5ey0IPmdC58pOh3Kk52JA0P69/RZy39+r1p1Swr6C+Q==",
- "dependencies": {
- "@sentry/core": "7.102.0",
- "@sentry/types": "7.102.0",
- "@sentry/utils": "7.102.0"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@sentry-internal/replay-canvas": {
- "version": "7.102.0",
- "resolved": "https://registry.npmjs.org/@sentry-internal/replay-canvas/-/replay-canvas-7.102.0.tgz",
- "integrity": "sha512-rgNO4PdFv0AYflBsCNbSIwpQuOOJQTqyu8i8U0PupjveNjkm0CUJhber/ZOcaGmbyjdvwikGwgWY2O0Oj0USCA==",
- "dependencies": {
- "@sentry/core": "7.102.0",
- "@sentry/replay": "7.102.0",
- "@sentry/types": "7.102.0",
- "@sentry/utils": "7.102.0"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@sentry-internal/tracing": {
- "version": "7.102.0",
- "resolved": "https://registry.npmjs.org/@sentry-internal/tracing/-/tracing-7.102.0.tgz",
- "integrity": "sha512-BlE33HWL1IzkGa0W+pwTiyu01MUIfYf+WnO9UC8qkDW3jxVvg2zhoSjXSxikT+KPCOgoZpQHspaTzwjnI1LCvw==",
- "dependencies": {
- "@sentry/core": "7.102.0",
- "@sentry/types": "7.102.0",
- "@sentry/utils": "7.102.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/@sentry/browser": {
- "version": "7.102.0",
- "resolved": "https://registry.npmjs.org/@sentry/browser/-/browser-7.102.0.tgz",
- "integrity": "sha512-hIggcMnojIbWhbmlRfkykHmy6n7pjug0AHfF19HRUQxAx9KJfMH5YdWvohov0Hb9fS+jdvqgE+/4AWbEeXQrHw==",
- "dependencies": {
- "@sentry-internal/feedback": "7.102.0",
- "@sentry-internal/replay-canvas": "7.102.0",
- "@sentry-internal/tracing": "7.102.0",
- "@sentry/core": "7.102.0",
- "@sentry/replay": "7.102.0",
- "@sentry/types": "7.102.0",
- "@sentry/utils": "7.102.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/@sentry/core": {
- "version": "7.102.0",
- "resolved": "https://registry.npmjs.org/@sentry/core/-/core-7.102.0.tgz",
- "integrity": "sha512-GO9eLOSBK1waW4AD0wDXAreaNqXFQ1MPQZrkKcN+GJYEFhJK1+u+MSV7vO5Fs/rIfaTZIZ2jtEkxSSAOucE8EQ==",
- "dependencies": {
- "@sentry/types": "7.102.0",
- "@sentry/utils": "7.102.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/@sentry/integrations": {
- "version": "7.102.0",
- "resolved": "https://registry.npmjs.org/@sentry/integrations/-/integrations-7.102.0.tgz",
- "integrity": "sha512-WW7DiAcihi+Fya2YrB6lEUzDAIPuO23wDm4tLJ9vQpMw4LaTj/XkulITTXFI7XLJLzs5Eks9pIfZJdmKrqjchA==",
- "dependencies": {
- "@sentry/core": "7.102.0",
- "@sentry/types": "7.102.0",
- "@sentry/utils": "7.102.0",
- "localforage": "^1.8.1"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/@sentry/replay": {
- "version": "7.102.0",
- "resolved": "https://registry.npmjs.org/@sentry/replay/-/replay-7.102.0.tgz",
- "integrity": "sha512-sUIBN4ZY0J5/dQS3KOe5VLykm856KZkTrhV8kmBEylzQhw1BBc8i2ehTILy5ZYh9Ra8uXPTAmtwpvYf/dRDfAg==",
- "dependencies": {
- "@sentry-internal/tracing": "7.102.0",
- "@sentry/core": "7.102.0",
- "@sentry/types": "7.102.0",
- "@sentry/utils": "7.102.0"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@sentry/types": {
- "version": "7.102.0",
- "resolved": "https://registry.npmjs.org/@sentry/types/-/types-7.102.0.tgz",
- "integrity": "sha512-FPfFBP0x3LkPARw1/6cWySLq1djIo8ao3Qo2KNBeE9CHdq8bsS1a8zzjJLuWG4Ww+wieLP8/lY3WTgrCz4jowg==",
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/@sentry/utils": {
- "version": "7.102.0",
- "resolved": "https://registry.npmjs.org/@sentry/utils/-/utils-7.102.0.tgz",
- "integrity": "sha512-cp5KCRe0slOVMwG4iP2Z4UajQkjryRTiFskZ5H7Q3X9R5voM8+DAhiDcIW88GL9NxqyUrAJOjmKdeLK2vM+bdA==",
- "dependencies": {
- "@sentry/types": "7.102.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/@sentry/vue": {
- "version": "7.102.0",
- "resolved": "https://registry.npmjs.org/@sentry/vue/-/vue-7.102.0.tgz",
- "integrity": "sha512-wH/7/cuhy37W0E6is6nDvfasy3vmNTY1w4AUpirVqaI3iPO+fEEc12RuuRkyRcxmuEBt8x4XxKIPJdMhcKRPug==",
- "dependencies": {
- "@sentry/browser": "7.102.0",
- "@sentry/core": "7.102.0",
- "@sentry/types": "7.102.0",
- "@sentry/utils": "7.102.0"
- },
- "engines": {
- "node": ">=8"
- },
- "peerDependencies": {
- "vue": "2.x || 3.x"
- }
- },
"node_modules/@tsconfig/node20": {
"version": "20.1.2",
"resolved": "https://registry.npmjs.org/@tsconfig/node20/-/node20-20.1.2.tgz",
@@ -1831,11 +1649,6 @@
"integrity": "sha512-/wdoPq1QqkSj9/QOeKkFquEuPzQbHTWAMPH/PaUMB+JuR31lXhlWXRZ52IpfDYVlDOUBvX09uBrPwxGT1hjNBg==",
"dev": true
},
- "node_modules/@types/web-bluetooth": {
- "version": "0.0.20",
- "resolved": "https://registry.npmjs.org/@types/web-bluetooth/-/web-bluetooth-0.0.20.tgz",
- "integrity": "sha512-g9gZnnXVq7gM7v3tJCWV/qw7w+KeOlSHAhgF9RytFyifW6AF61hdT2ucrYhPq9hLs5JIryeupHV3qGk95dH9ow=="
- },
"node_modules/@typescript-eslint/eslint-plugin": {
"version": "6.21.0",
"resolved": "https://registry.npmjs.org/@typescript-eslint/eslint-plugin/-/eslint-plugin-6.21.0.tgz",
@@ -2120,9 +1933,9 @@
}
},
"node_modules/@vue/devtools-api": {
- "version": "6.6.1",
- "resolved": "https://registry.npmjs.org/@vue/devtools-api/-/devtools-api-6.6.1.tgz",
- "integrity": "sha512-LgPscpE3Vs0x96PzSSB4IGVSZXZBZHpfxs+ZA1d+VEPwHdOXowy/Y2CsvCAIFrf+ssVU1pD1jidj505EpUnfbA=="
+ "version": "6.6.3",
+ "resolved": "https://registry.npmmirror.com/@vue/devtools-api/-/devtools-api-6.6.3.tgz",
+ "integrity": "sha512-0MiMsFma/HqA6g3KLKn+AGpL1kgKhFWszC9U29NfpWK5LE7bjeXxySWJrOJ77hBz+TBrBQ7o4QJqbPbqbs8rJw=="
},
"node_modules/@vue/eslint-config-prettier": {
"version": "8.0.0",
@@ -2237,89 +2050,6 @@
"integrity": "sha512-VcZK7MvpjuTPx2w6blwnwZAu5/LgBUtejFOi3pPGQFXQN5Ela03FUtd2Qtg4yWGGissVL0dr6Ro1LfOFh+PCuQ==",
"dev": true
},
- "node_modules/@vueuse/core": {
- "version": "10.8.0",
- "resolved": "https://registry.npmjs.org/@vueuse/core/-/core-10.8.0.tgz",
- "integrity": "sha512-G9Ok9fjx10TkNIPn8V1dJmK1NcdJCtYmDRyYiTMUyJ1p0Tywc1zmOoCQ2xhHYyz8ULBU4KjIJQ9n+Lrty74iVw==",
- "dependencies": {
- "@types/web-bluetooth": "^0.0.20",
- "@vueuse/metadata": "10.8.0",
- "@vueuse/shared": "10.8.0",
- "vue-demi": ">=0.14.7"
- },
- "funding": {
- "url": "https://github.com/sponsors/antfu"
- }
- },
- "node_modules/@vueuse/core/node_modules/vue-demi": {
- "version": "0.14.7",
- "resolved": "https://registry.npmjs.org/vue-demi/-/vue-demi-0.14.7.tgz",
- "integrity": "sha512-EOG8KXDQNwkJILkx/gPcoL/7vH+hORoBaKgGe+6W7VFMvCYJfmF2dGbvgDroVnI8LU7/kTu8mbjRZGBU1z9NTA==",
- "hasInstallScript": true,
- "bin": {
- "vue-demi-fix": "bin/vue-demi-fix.js",
- "vue-demi-switch": "bin/vue-demi-switch.js"
- },
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/antfu"
- },
- "peerDependencies": {
- "@vue/composition-api": "^1.0.0-rc.1",
- "vue": "^3.0.0-0 || ^2.6.0"
- },
- "peerDependenciesMeta": {
- "@vue/composition-api": {
- "optional": true
- }
- }
- },
- "node_modules/@vueuse/metadata": {
- "version": "10.8.0",
- "resolved": "https://registry.npmjs.org/@vueuse/metadata/-/metadata-10.8.0.tgz",
- "integrity": "sha512-Nim/Vle5OgXcXhAvGOgkJQXB1Yb+Kq/fMbLuv3YYDYbiQrwr39ljuD4k9fPeq4yUyokYRo2RaNQmbbIMWB/9+w==",
- "funding": {
- "url": "https://github.com/sponsors/antfu"
- }
- },
- "node_modules/@vueuse/shared": {
- "version": "10.8.0",
- "resolved": "https://registry.npmjs.org/@vueuse/shared/-/shared-10.8.0.tgz",
- "integrity": "sha512-dUdy6zwHhULGxmr9YUg8e+EnB39gcM4Fe2oKBSrh3cOsV30JcMPtsyuspgFCUo5xxFNaeMf/W2yyKfST7Bg8oQ==",
- "dependencies": {
- "vue-demi": ">=0.14.7"
- },
- "funding": {
- "url": "https://github.com/sponsors/antfu"
- }
- },
- "node_modules/@vueuse/shared/node_modules/vue-demi": {
- "version": "0.14.7",
- "resolved": "https://registry.npmjs.org/vue-demi/-/vue-demi-0.14.7.tgz",
- "integrity": "sha512-EOG8KXDQNwkJILkx/gPcoL/7vH+hORoBaKgGe+6W7VFMvCYJfmF2dGbvgDroVnI8LU7/kTu8mbjRZGBU1z9NTA==",
- "hasInstallScript": true,
- "bin": {
- "vue-demi-fix": "bin/vue-demi-fix.js",
- "vue-demi-switch": "bin/vue-demi-switch.js"
- },
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/antfu"
- },
- "peerDependencies": {
- "@vue/composition-api": "^1.0.0-rc.1",
- "vue": "^3.0.0-0 || ^2.6.0"
- },
- "peerDependenciesMeta": {
- "@vue/composition-api": {
- "optional": true
- }
- }
- },
"node_modules/acorn": {
"version": "8.11.3",
"resolved": "https://registry.npmjs.org/acorn/-/acorn-8.11.3.tgz",
@@ -2357,11 +2087,6 @@
"url": "https://github.com/sponsors/epoberezkin"
}
},
- "node_modules/animate.css": {
- "version": "4.1.1",
- "resolved": "https://registry.npmjs.org/animate.css/-/animate.css-4.1.1.tgz",
- "integrity": "sha512-+mRmCTv6SbCmtYJCN4faJMNFVNN5EuCTTprDTAo7YzIGji2KADmakjVA3+8mVDkZ2Bf09vayB35lSQIex2+QaQ=="
- },
"node_modules/ansi-escapes": {
"version": "4.3.2",
"resolved": "https://registry.npmjs.org/ansi-escapes/-/ansi-escapes-4.3.2.tgz",
@@ -4952,11 +4677,6 @@
"node": ">= 4"
}
},
- "node_modules/immediate": {
- "version": "3.0.6",
- "resolved": "https://registry.npmjs.org/immediate/-/immediate-3.0.6.tgz",
- "integrity": "sha512-XXOFtyqDjNDAQxVfYxuF7g9Il/IbWmmlQg2MYKOH8ExIT1qg6xc4zyS3HaEEATgs1btfzxq15ciUiY7gjSXRGQ=="
- },
"node_modules/immutable": {
"version": "4.3.5",
"resolved": "https://registry.npmjs.org/immutable/-/immutable-4.3.5.tgz",
@@ -5362,14 +5082,6 @@
"node": ">= 0.8.0"
}
},
- "node_modules/lie": {
- "version": "3.1.1",
- "resolved": "https://registry.npmjs.org/lie/-/lie-3.1.1.tgz",
- "integrity": "sha512-RiNhHysUjhrDQntfYSfY4MU24coXXdEOgw9WGcKHNeEwffDYbF//u87M1EWaMGzuFoSbqW0C9C6lEEhDOAswfw==",
- "dependencies": {
- "immediate": "~3.0.5"
- }
- },
"node_modules/lilconfig": {
"version": "3.0.0",
"resolved": "https://registry.npmjs.org/lilconfig/-/lilconfig-3.0.0.tgz",
@@ -5694,14 +5406,6 @@
"node": ">=0.10.0"
}
},
- "node_modules/localforage": {
- "version": "1.10.0",
- "resolved": "https://registry.npmjs.org/localforage/-/localforage-1.10.0.tgz",
- "integrity": "sha512-14/H1aX7hzBBmmh7sGPd+AOMkkIrHM3Z1PAyGgZigA1H1p5O5ANnMyWzvpAETtG68/dC4pC0ncy3+PPGzXZHPg==",
- "dependencies": {
- "lie": "3.1.1"
- }
- },
"node_modules/locate-path": {
"version": "6.0.0",
"resolved": "https://registry.npmjs.org/locate-path/-/locate-path-6.0.0.tgz",
@@ -6012,11 +5716,6 @@
"node": ">=0.10.0"
}
},
- "node_modules/lottie-web": {
- "version": "5.12.2",
- "resolved": "https://registry.npmjs.org/lottie-web/-/lottie-web-5.12.2.tgz",
- "integrity": "sha512-uvhvYPC8kGPjXT3MyKMrL3JitEAmDMp30lVkuq/590Mw9ok6pWcFCwXJveo0t5uqYw1UREQHofD+jVpdjBv8wg=="
- },
"node_modules/lru-cache": {
"version": "6.0.0",
"resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
@@ -6887,12 +6586,12 @@
}
},
"node_modules/pinia": {
- "version": "2.1.7",
- "resolved": "https://registry.npmjs.org/pinia/-/pinia-2.1.7.tgz",
- "integrity": "sha512-+C2AHFtcFqjPih0zpYuvof37SFxMQ7OEG2zV9jRI12i9BOy3YQVAHwdKtyyc8pDcDyIc33WCIsZaCFWU7WWxGQ==",
+ "version": "2.2.0",
+ "resolved": "https://registry.npmmirror.com/pinia/-/pinia-2.2.0.tgz",
+ "integrity": "sha512-iPrIh26GMqfpUlMOGyxuDowGmYousTecbTHFwT0xZ1zJvh23oQ+Cj99ZoPQA1TnUPhU6AuRPv6/drkTCJ0VHQA==",
"dependencies": {
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index d730b57..ea414eb 100644
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- 0.0],
- "alphaMode":"OPAQUE",
- "doubleSided":true,
- "name":"cccjiegou"
- },
- {
- "pbrMetallicRoughness":{
- "baseColorFactor":[0.5,
- 0.5,
- 0.5,
- 0.44999999999999998],
- "metallicFactor":0.0,
- "roughnessFactor":0.5
- },
- "emissiveFactor":[0.0,
- 0.0,
- 0.0],
- "alphaMode":"BLEND",
- "doubleSided":true,
- "name":"ccaboli"
- }]
-}
\ No newline at end of file
diff --git a/public/static/img/elevator.gltf b/public/static/img/elevator.gltf
deleted file mode 100644
index fdfbdd4..0000000
--- a/public/static/img/elevator.gltf
+++ /dev/null
@@ -1,279 +0,0 @@
-{
- "asset":{
- "version":"2.0",
- "generator":"Created using the official Cinema 4D glTF Exporter 1.000x284978"
- },
- "buffers":[{
- 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diff --git a/public/static/img/elevatorDown.gltf b/public/static/img/elevatorDown.gltf
deleted file mode 100644
index 8a524d4..0000000
--- a/public/static/img/elevatorDown.gltf
+++ /dev/null
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                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               
                
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             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                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      
    
    
        
    
    
        
    
    
                                                                                                        
    
    
    
    
    
    
    
                    
    
    
        
    
    
        
    
    
                                                                                                        
    
    
    
    
    
    
    
    
    
    
    
    
    
    
        
    
    
        
    
    
                                                                                                        
    
    
    
    
    
    
    
    
    
    
    
    
    
    
        
    
    
        
    
    
                                                                                                        
    
    
    
    
    
    
    
    
                
    
    
        
    
    
        
    
                                                                                                            
    
    
    
    
    
    
    
                    
    
    
        
    
            
    
                                                                                                            
    
    
    
    
    
    
    
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          	       	      	                                       	     	     	     	                	    	     	     	     	     	                         	                                                                                                                                                                                                                                    	       	      	     	                                                                                                 
 	   
 	   
 	   
 	   
 	   
 	   
 	   
 	   
 	                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                
 	   
 	   
 	   
 	   
 	   
 	   
 	   
 	   
 	   
 	   	 
   	 
   
 	   
 	   
 	   
 	   
 	   
 	   
 	   
 	   
 	   
 	   
 	   
 	   
 	   
 	   	 
   
 	   
 	   
 	                                                                                                                                                                                                                             	    	                                                     	   	    	    	     	    	                                                          	      	                                                            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diff --git a/public/static/img/tcjf.png b/public/static/img/tcjf.png
deleted file mode 100644
index 32eaaf4..0000000
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diff --git a/public/static/img/zhong.glb b/public/static/img/zhong.glb
deleted file mode 100644
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diff --git a/public/static/offline/JSON/getAroundIntroduce.json b/public/static/offline/JSON/getAroundIntroduce.json
deleted file mode 100644
index d197afe..0000000
--- a/public/static/offline/JSON/getAroundIntroduce.json
+++ /dev/null
@@ -1 +0,0 @@
-{"code":200,"msg":"操作成功","data":[{"id":864,"entryCode":"D1Dzo5cbm95G0UBDr7f5B","title":"周边介绍","content":{"title":"周边公交地铁介绍","titleEn":"Introduction to Surrounding Public Transport and Subway","fileUrl":["/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/nnhjUsjAj2f1Odm4118BJ.png"],"content":"金地广场附近的公交车站有：
- 市政府(公交站) 距离金地广场16米，在1内,29路,3路,13路,6路,9路 。可换乘2,12,19,5,36,16,14,30,10,8,1路等公交车。
- 供水公司(公交站)
距离金地广场526米，在11路,21路,22路 。可换乘9,4,19,2,1,18,12,29,28,3,6,14,16,36,5,13,21,22,11,15路等公交车。
- 文体局(公交站) 距离金地广场522米，在12内 。可换乘19,12,2,5,16,8,1,10,9,29,3,13,14路等公交车。
金地广场附近的地铁站有： 地铁1号线、地铁4号线、地铁5号线
","contentEn":"The bus stops near Jindi Square include:
-Municipal Government (Bus Station)
Located 16 meters away from Jindi Square, within 1, there are routes 29, 3, 13, 6, and 9. You can transfer to buses such as 2,12,19,5,36,16,14,30,10,8,1.
-Water Supply Company (Bus Station)
526 meters away from Jindi Square, on routes 11, 21, and 22. You can transfer to buses such as 9,4,19,2,1,18,12,29,28,3,6,14,16,36,5,13,21,22,11,15.
-Culture and Sports Bureau (Bus Station)
It is 522 meters away from Jindi Square and within 12 meters. You can transfer to buses such as 19, 12, 2, 5, 16, 8, 10, 9, 29, 3, 13, and 14.
The subway stations near Jindi Square include:
Subway Line 1, Subway Line 4, Subway Line 5
"}}]}
\ No newline at end of file
diff --git a/public/static/offline/JSON/getBackTime.json b/public/static/offline/JSON/getBackTime.json
index e41ca97..5a77f33 100644
--- a/public/static/offline/JSON/getBackTime.json
+++ b/public/static/offline/JSON/getBackTime.json
@@ -1 +1 @@
-{"code":200,"msg":"操作成功","data":[1000000000000,1000000000000]}
+{"code":200,"msg":"操作成功","data":[60,0]}
diff --git a/public/static/offline/JSON/getBrandShopList.json b/public/static/offline/JSON/getBrandShopList.json
deleted file mode 100644
index b5806fb..0000000
--- a/public/static/offline/JSON/getBrandShopList.json
+++ /dev/null
@@ -1,531 +0,0 @@
-{
- "code": 200,
- "msg": "操作成功",
- "data": {
- "allShopNum": 11,
- "floorList": [
- {
- "building": "苏州金地广场",
- "floor": "B3",
- "buildingCode": "gDQKBSW9Poutfp1gDkOeb",
- "floorCode": "eAx9XqfXkPtK3RgXXdpzL"
- },
- {
- "building": "苏州金地广场",
- "floor": "B2",
- "buildingCode": "gDQKBSW9Poutfp1gDkOeb",
- "floorCode": "qVfcECIRfX14egPA7U4yE"
- },
- {
- "building": "苏州金地广场",
- "floor": "B1",
- "buildingCode": "gDQKBSW9Poutfp1gDkOeb",
- "floorCode": "bXx1U0xdFI0d6B0NueY8r"
- },
- {
- "building": "苏州金地广场",
- "floor": "LG",
- "buildingCode": "gDQKBSW9Poutfp1gDkOeb",
- "floorCode": "3xmtwGPYYlUyL9WftNsdd"
- },
- {
- "building": "苏州金地广场",
- "floor": "L1",
- "buildingCode": "gDQKBSW9Poutfp1gDkOeb",
- "floorCode": "cwgojwijT_qG0f7DVhWpu"
- },
- {
- "building": "苏州金地广场",
- "floor": "L2",
- "buildingCode": "gDQKBSW9Poutfp1gDkOeb",
- "floorCode": "KfRjq3d6ICYrXyaYFjAJU"
- },
- {
- "building": "苏州金地广场",
- "floor": "L3",
- "buildingCode": "gDQKBSW9Poutfp1gDkOeb",
- "floorCode": "Ek_MaiuKLPjakB1uB0uQV"
- },
- {
- "building": "苏州金地广场",
- "floor": "L4",
- "buildingCode": "gDQKBSW9Poutfp1gDkOeb",
- "floorCode": "AnbWM8WtRnNx34DGySB5C"
- }
- ],
- "recommendList": [
- {
- "industryName": "生活配套",
- "industryFatherName": "生活配套",
- "industryFatherNameEn": "",
- "shopCode": "Zm0a2Gp2y2zG-tyu9R6ym",
- "shopName": "佬克拉",
- "shopNameEn": "",
- "logoCode": "qentCamtghXztYY2UxcSK",
- "logoUrl": "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231129/qentCamtghXztYY2UxcSK.png",
- "industryUrl": "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231122/HrR0FjrdJkKLFATk6L43J.png",
- "building": "苏州金地广场",
- "floor": "L3",
- "intro": "Brand Introduction\n佬克拉男士理容馆专注男士理发是一家集纯正男士理发 文身\n潮牌 美酒音乐 派对 为一体的专属男人的社交场所 提供轻松\n愉悦的理发氛围 考究的工具 细节的处理 传递出我们的工作\n态度 除了理发本身更注重跟客户的关系 诚实 健康 快乐 大胆 \n全心全意提供一个专属男士的生活俱乐部\n老克拉，或称“老克勒”，指的是老上海那些阅历较深，收入较\n高，消费前卫，在文化休闲方式上独领潮流的都市男性族群。\n这些人大多出身于名门世家，受过当时的“洋 化”教育，目睹或\n亲历了十里洋场上灯红酒绿、光怪陆离的生活方式。“老”并不\n是指年纪老，而是经验丰富、久经历练的意思。",
- "introEn": "",
- "businessHours": "10:00-22:00",
- "contact": "13149439287",
- "thirdKouCode": "",
- "thirdMeiCode": "",
- "thirdZhiCode": "",
- "isNewShop": 0,
- "xaxis": "[-1076, 40, -598.5]",
- "yaxis": "51",
- "navXaxis": "-985",
- "navYaxis": "-601",
- "doorMaterialList": [
- "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231129/0KfCv_37Jej5W4giUTHEH.png",
- "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231129/K5gyV1Je46hInTQrLcTew.png"
- ],
- "foodMaterialList": [],
- "buildingCode": "gDQKBSW9Poutfp1gDkOeb",
- "buildingOrder": 0,
- "floorCode": "Ek_MaiuKLPjakB1uB0uQV",
- "floorOrder": 6,
- "star": 0
- },
- {
- "industryName": "餐饮",
- "industryFatherName": "餐饮",
- "industryFatherNameEn": "",
- "shopCode": "BKDvK95c8BCsWPCCUEFbp",
- "shopName": "奈雪的茶",
- "shopNameEn": "NAIXUE",
- "logoCode": "7X-h9Z8vhoXBqSUiDlqiW",
- "logoUrl": "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231129/7X-h9Z8vhoXBqSUiDlqiW.png",
- "industryUrl": "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231122/I3-tfHkflBawkBiEdnBFE.png",
- "building": "苏州金地广场",
- "floor": "LG",
- "intro": "奈雪的茶，新茶饮赛道开创者，创立于2015年，领创推出“茶饮+软欧包”双品类模式。聚焦以茶为核心的现代生活方式，奈雪已形成“现制茶饮”、“奈雪茗茶”及“瓶装饮料”三大业务版块，成功打造“霸气玉油柑”、“鸭屎香宝藏茶”、“龙井奶茶”等多款行业爆品。\n2021年6月30日，奈雪的茶正式在港交所挂牌上市。目前，奈雪的茶已覆盖全国近100个城市，门店数量超过1200家。\n秉承“美好自有力量”的理念，奈雪的茶以成为“受顾客喜爱的全球性茶饮品牌”为使命，致力于成为茶文化走向世界的创新者和推动者。",
- "introEn": "",
- "businessHours": "10:00-22:00",
- "contact": "",
- "thirdKouCode": "",
- "thirdMeiCode": "",
- "thirdZhiCode": "",
- "isNewShop": 0,
- "xaxis": "[-880, 30, 870]",
- "yaxis": "16",
- "navXaxis": "-864",
- "navYaxis": "690",
- "doorMaterialList": [],
- "foodMaterialList": [],
- "buildingCode": "gDQKBSW9Poutfp1gDkOeb",
- "buildingOrder": 0,
- "floorCode": "3xmtwGPYYlUyL9WftNsdd",
- "floorOrder": 3,
- "star": 0
- },
- {
- "industryName": "餐饮",
- "industryFatherName": "餐饮",
- "industryFatherNameEn": "",
- "shopCode": "6yU8mbIO6u5FwlF83AHhl",
- "shopName": "柠檬森林",
- "shopNameEn": "",
- "logoCode": "HLyocAxVDBDsZRqjIpL4K",
- "logoUrl": "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231129/HLyocAxVDBDsZRqjIpL4K.png",
- "industryUrl": "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231122/I3-tfHkflBawkBiEdnBFE.png",
- "building": "苏州金地广场",
- "floor": "B1",
- "intro": "柠檬森林2021年成立于苏州，执着新鲜的茶饮口感，追逐新奇的味蕾体验，崇尚新潮的生活态度，致力于研创柠檬茶的全新制作方式。\n全新推出可以喝的『鸡鸭鱼肉』系列，柠檬森林开市啦！\n\n原创鸡笼香单枞茶底，茶香清悠，入口绵柔，清新韵味缓缓释放。\n经典鸭屎香单枞茶底，银花香气，醇厚劲爽，余韵悠长，回甘上头。\n尝新东方美人茶，果蜜香气丰腴，滋味清透活泼，鲜爽甜润。\n焙火造就高香肉桂，入口醇厚，回味似有乳香，甘润爽快。\n4款茶底，可纯茶呈现，可制成酸爽柠檬茶，可搭配轻乳和香柠轻奶霜，可搭配香柠轻奶油和小饼干。柠檬森林菜篮子，鸡鸭鱼肉都好喝！",
- "introEn": "",
- "businessHours": "10:00-22:00",
- "contact": "",
- "thirdKouCode": "",
- "thirdMeiCode": "",
- "thirdZhiCode": "",
- "isNewShop": 0,
- "xaxis": "[-941, 30, 490.5]",
- "yaxis": "15",
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- "navYaxis": "480",
- "doorMaterialList": [],
- "foodMaterialList": [],
- "buildingCode": "gDQKBSW9Poutfp1gDkOeb",
- "buildingOrder": 0,
- "floorCode": "bXx1U0xdFI0d6B0NueY8r",
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- "star": 0
- },
- {
- "industryName": "休闲娱乐",
- "industryFatherName": "休闲娱乐",
- "industryFatherNameEn": "",
- "shopCode": "lqF15INUravcfL7Avk-Pd",
- "shopName": "跳动方块",
- "shopNameEn": "",
- "logoCode": "nRwugprLg6T2MHtPouHkY",
- "logoUrl": "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231129/nRwugprLg6T2MHtPouHkY.png",
- "building": "苏州金地广场",
- "floor": "L3",
- "intro": "沉浸式体感运动项目游戏 ，室内全新游戏模式：国内兴起的超火爆的线下娱乐游戏。跳动方块游戏是通过不同的灯光变化规则设置，实现双人/多人组队闯关或对抗的游戏模式，在趣味性/互动性上有非常多的玩法，还有一定的运动锻炼作用，是一种全新的年轻人线下聚会游戏体验方式。\n “跳一下瘦20斤” 新型社交运动方式，打造不一样的运动新体验。全都需要团队配合以及肢体触发才能通关，过程中非常考验反应力、浸式体感运动，协调力和协作性，是绿色、健度、运动的体感游\n 随着对技术、产品理解的深入，跳动方块的物联网芯片、游戏设计、商业模型等方面更加成熟。这是一款以亲子运动、年轻势力为主流消费群体，不分年龄、不分城市的新式科技感运动游戏设备。\n 跳动方块始终坚持以活力、潮流、有趣为核心，打造科技运动新风向标，将意想意创公司十年以来的技术基础融会贯通，打造新运动，新生活。革新室内娱乐方式，让体育运动更有趣！",
- "introEn": "",
- "businessHours": "10:00-22:00",
- "contact": "",
- "thirdKouCode": "",
- "thirdMeiCode": "",
- "thirdZhiCode": "",
- "isNewShop": 0,
- "xaxis": "[160, 40, -502]",
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- "doorMaterialList": [],
- "foodMaterialList": [],
- "buildingCode": "gDQKBSW9Poutfp1gDkOeb",
- "buildingOrder": 0,
- "floorCode": "Ek_MaiuKLPjakB1uB0uQV",
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- "star": 0
- },
- {
- "industryName": "餐饮",
- "industryFatherName": "餐饮",
- "industryFatherNameEn": "",
- "shopCode": "K2cg1Om-AI2A6w35N07Yd",
- "shopName": "兰湘子",
- "shopNameEn": "",
- "logoCode": "0ZCN4jLpZGh3NfHQTNA21",
- "logoUrl": "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231129/0ZCN4jLpZGh3NfHQTNA21.png",
- "industryUrl": "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231122/I3-tfHkflBawkBiEdnBFE.png",
- "building": "苏州金地广场",
- "floor": "L3",
- "intro": "想要吃一餐好饭却又担心时间不够？\n\n兰湘子 · 湘菜小炒，\n专为解决更多白领一族的美食体验和用餐效率问题；\n上菜快，吃得爽，湘菜热销榜；\n兰湘子产品由著名湘菜大师张小春先生主理出品；\n是首个入驻skp的湘菜品牌，也是湘菜小炒品类引领者；2022年大众点评必吃榜上榜品牌；\n全国14省，200+直营门店。",
- "introEn": "",
- "businessHours": "10:00-22:00",
- "contact": "",
- "thirdKouCode": "",
- "thirdMeiCode": "",
- "thirdZhiCode": "",
- "isNewShop": 0,
- "xaxis": "[407, 40, 702]",
- "yaxis": "28",
- "navXaxis": "337",
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- "doorMaterialList": [
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- ],
- "foodMaterialList": [
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- ],
- "buildingCode": "gDQKBSW9Poutfp1gDkOeb",
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- "floorCode": "Ek_MaiuKLPjakB1uB0uQV",
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- },
- {
- "industryName": "餐饮",
- "industryFatherName": "餐饮",
- "industryFatherNameEn": "",
- "shopCode": "HJIpv7HTM9A1WyB8llz53",
- "shopName": "哥哥的夜深夜食堂",
- "shopNameEn": "",
- "logoCode": "Io-Xl44rmTy6ShVVSOymd",
- "logoUrl": "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231129/Io-Xl44rmTy6ShVVSOymd.png",
- "industryUrl": "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231122/I3-tfHkflBawkBiEdnBFE.png",
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diff --git a/public/static/offline/JSON/getBrandShopListByFloor.json b/public/static/offline/JSON/getBrandShopListByFloor.json
deleted file mode 100644
index d582314..0000000
--- a/public/static/offline/JSON/getBrandShopListByFloor.json
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/public/static/offline/JSON/getBrandShopListByIndustryId.json b/public/static/offline/JSON/getBrandShopListByIndustryId.json
deleted file mode 100644
index cc4291c..0000000
--- a/public/static/offline/JSON/getBrandShopListByIndustryId.json
+++ /dev/null
@@ -1,628 +0,0 @@
-{
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- "msg": "操作成功",
- "data": {
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- "introJa": "",
- "introOl": "",
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- "thirdZhiCode": "",
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- "shopNameJa": "",
- "shopNameOl": "",
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- "logoUrl": "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231129/HLyocAxVDBDsZRqjIpL4K.png",
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- "introEn": "",
- "introJa": "",
- "introOl": "",
- "regionCode": "",
- "businessHours": "10:00-22:00",
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- "isNewShop": 0,
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- "doorMaterialList": [],
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- "spelling": "ning meng sen lin ",
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- "industryFatherNameJa": "",
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- "shopNameJa": "",
- "shopNameOl": "",
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- "building": "苏州金地广场",
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- "intro": "哥哥心语：希望每一个到来的客人都能在“哥哥の深夜食堂”遇见关于美食的幸福。不但满足您的胃，更能温暖您的心。\n一家风格以“寿司”和“碳烤”为主的居酒屋，是一家用心的【深夜食堂】。\n 取名“哥哥”是觉得这是一个亲切的称呼，在寂静的深夜特别能给人温暖。\n 带着掌心温度的寿司：我们花时间比较了所有日本产的电饭煲，最终从日本駝来了虎牌。很多人误以为寿司就是生冷的，许多店铺也会为客人提供冰鲜的寿司，殊不知，带有师傅掌心温度的寿司才是最适合品尝的。\n 盐烤：相比世面上的居酒屋，店里的碳烤以盐烤为主，较为有特色；\n 大到食材，小到酱汁，对我们来说，没有一件是小事，没有一件事不值得用心完成。\n “ 哥哥の深夜食堂”只想做一家认真的，用心的小店；温暖所有的不完美！",
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- "businessHours": "10:00-22:00",
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- "isNewShop": 0,
- "xaxis": "[825.5, 30, -429]",
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- "doorMaterialList": [],
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"title": "配置文件",
"content": {
- "interfaceUrl": "https://project-iot.test.1000my.com/api",
+ "interfaceUrl": "https://iot.1000my.com/api",
"mobileNav": "https://qianmu-iot.1000my.com/SuZhou_JinDi_Square-szjds_react-test/index.html#/",
"handWriteUrl": "http://saas.1000my.com:8014/words"
}
}
]
-}
\ No newline at end of file
+}
diff --git a/public/static/offline/JSON/getCustomerQr.json b/public/static/offline/JSON/getCustomerQr.json
new file mode 100644
index 0000000..ae3caeb
--- /dev/null
+++ b/public/static/offline/JSON/getCustomerQr.json
@@ -0,0 +1,16 @@
+{
+ "code": 200,
+ "msg": "操作成功",
+ "data": [
+ {
+ "id": 1476,
+ "entryCode": "ogMDNkoxrQrFIXWP06T6y",
+ "title": "顾客心声二维码",
+ "content": {
+ "qrUrl": [
+ "/iotFile/project-bg9aktmmvxxfvi6vya0dua/20240715/ZR8QBUPdCyn2qZIszWaT2.jpg"
+ ]
+ }
+ }
+ ]
+}
diff --git a/public/static/offline/JSON/getDevCoordinateByIP.json b/public/static/offline/JSON/getDevCoordinateByIP.json
index 2ae12ac..df8aa05 100644
--- a/public/static/offline/JSON/getDevCoordinateByIP.json
+++ b/public/static/offline/JSON/getDevCoordinateByIP.json
@@ -17,7 +17,7 @@
"mac": "30B49EC47D5E",
"location": "51",
"angle": "0",
- "projectCode": "project-o99mwit8jby-qb_xrffk2a",
+ "projectCode": "project-ao3xebi-o6mwtgswdr-jfa",
"regionCode": "",
"lensCoordinate": "",
"orientationCoordinate": "",
diff --git a/public/static/offline/JSON/getFacilityList.json b/public/static/offline/JSON/getFacilityList.json
deleted file mode 100644
index 80f0051..0000000
--- a/public/static/offline/JSON/getFacilityList.json
+++ /dev/null
@@ -1 +0,0 @@
-{"code":200,"msg":"操作成功","data":[{"name":"直梯","nameEn":"","code":"m9QXJ28_rvIefOg-5m3nt","customFacilityName":"","customFacilityNameEn":"","customFacilityNameOl":"","abbreviation":"dt","filePath":"/convert/Files/86b0e9ab-57bd-40b9-97c0-f1b6f1d0efd4/dt.png"},{"name":"扶梯","nameEn":"","code":"m9Keq4Kgi_odFBsbb5jNl","customFacilityName":"","customFacilityNameEn":"","customFacilityNameOl":"","abbreviation":"ft"},{"name":"出入门","nameEn":"","code":"mFkemtF_Znzmj05w1f6OX","customFacilityName":"","customFacilityNameEn":"","customFacilityNameOl":"","abbreviation":"door","filePath":"/convert/Files/d4cef981-bd89-42ec-a80c-558d5ecd89fd/door.png"},{"name":"洗手间","nameEn":"","code":"NHpomU2-zlH8en26D1Ipc","customFacilityName":"","customFacilityNameEn":"","customFacilityNameOl":"","abbreviation":"xsj","filePath":"/convert/Files/8c564bba-04d5-4768-9cfa-a12a5d4a2f99/xsj.png"},{"name":"无障碍卫生间","nameEn":"","code":"LaWdkKUiDdl30Ie30di6j","customFacilityName":"","customFacilityNameEn":"","customFacilityNameOl":"","abbreviation":"cjr","filePath":"/convert/Files/abc22b61-3d10-42c2-a5c1-182c21da9147/cjr.png"},{"name":"母婴室","nameEn":"","code":"gOqgg8VRfgdce0yl8kuel","customFacilityName":"","customFacilityNameEn":"","customFacilityNameOl":"","abbreviation":"mys"},{"name":"服务台","nameEn":"","code":"6Z30FS8YaVM0lqIRILox_","customFacilityName":"","customFacilityNameEn":"","customFacilityNameOl":"","abbreviation":"fwt","filePath":"/convert/Files/293e3458-9588-46be-954b-f081b669dc52/fwt.png"}]}
\ No newline at end of file
diff --git a/public/static/offline/JSON/getMallActivities.json b/public/static/offline/JSON/getMallActivities.json
deleted file mode 100644
index 94b7bd2..0000000
--- a/public/static/offline/JSON/getMallActivities.json
+++ /dev/null
@@ -1 +0,0 @@
-{"code":200,"msg":"操作成功","data":[{"id":870,"entryCode":"-EDV7RynnHLCjvGDElQEa","title":"商场活动一","content":{"title":"绑定点位L1-25的商场活动","titleEn":"In just two or three years","content":"要消费城市的160余家加盟店以及专柜年销售额达到2.5亿在短短的两、三年间，迅速于中国60多个一、二类主要消费城市的160余家加盟店以及专柜年销售额达到2.5亿在短短的两、三年间，迅速于中欧时力(香港)集团全权代理意大利品牌欧时力(OCHIRLY)，并组建欧时力(中国)有限公司，全权负责OCHIRLY在大中华区的品牌经营。欧时力自1999年进入中国市场以来，欧时力以前所未有的速度在中国市场发展壮大。在短短的两、三年间，迅速于中国60多个一、二类主要消费城市的160余家加盟店以及专柜年销售额达到2.5亿。销售业绩评效均名列前茅，整体业绩不断上扬！在女装市场享有一定的知名度和美誉度。欧时力(香港)集团全权代理意大利品牌欧时力(OCHIRLY)，并组建欧时力(中国)有限公司，全权负责OCHIRLY在大中华区的品牌经营。欧时力自1999年进入中国市场以来，欧时力以前所未有的速度在中国市场发展壮大。在短短的两、三年间，迅速于中国60多个一、二类主要消费城市的160余家加盟店以及专柜年销售额达到2.5亿在短短的两、三年间，迅速于中国60多个一、二类主要消费城市的160余家加盟店以及专柜年销售额达到2.5亿在短短的两、三年间。","contentEn":"In just two or three years, it quickly reached 250 million yuan in annual sales of over 160 franchise stores and counters in more than 60 primary and secondary consumer cities in China. In just two or three years, it quickly reached 250 million yuan in annual sales of over 160 franchise stores and counters in more than 60 primary and secondary consumer cities in China. In just two or three years, it quickly became the sole agent of the Italian brand OCHIRLY for the China Europe Shili (Hong Kong) Group,","fileUrl":["/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/tFPPMQwtEetcBeaU6uFND.png"],"startDate":"2023-11-22","endDate":"2024-12-07","address":"欧时力(香港)集","addressEn":"Oushili (Hong Kong) Group","shopCode":"","point":"0_4_25"}},{"id":871,"entryCode":"Zn-9CS9CgMcbMwlO2kB5F","title":"商场活动二","content":{"title":"绑定点位的商场活动","titleEn":"hili (Hong Kong) Group fully represents the Italian ","content":"RLY)，并组建欧时力(中国)有限公司，全权负责OCHIRLY在大中华区的品牌经营。欧时力自1999年进入中国市场以来，欧时力以前所未有的速度在中国市场发展壮大。在短短的两、三年间，迅速于中国60多个一、二类主要消费城市的160余家加盟店以及专柜年销售额达到2.5亿在短短的两、三年间，迅速于中国60多个一、二类主要消费城市的160余家加盟店以及专柜年销售额达到2.5亿在短短的两、三年间，迅速于中欧时力(香港)集团全权代理意大利品牌欧时力(OCHIRLY)，并组建欧时力(中国)有限公司，全权负责OCHIRLY在大中华区的品牌经营。欧时力自1999年进入中国","contentEn":"In just two or three years, the annual sales of over 160 franchise stores and counters in over 60 major consumer cities in China reached 250 million yuan.","fileUrl":["/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/qbkPtEM1lVateAdMFuCEO.png"],"startDate":"2023-11-22","endDate":"2024-11-30","address":"全权负责OCHIRLY在大中华区的品牌经营","addressEn":" Co., Ltd., fully responsible for OCHIRLY's brand management in Greater China","shopCode":"K2cg1Om-AI2A6w35N07Yd","point":""}},{"id":872,"entryCode":"bjLUsWX64BJQVD6O5WJf2","title":"商场活动三","content":{"title":"绑定店铺的商场活动","titleEn":"asdasdgaef ","content":"自1999年进入中国市场以来，欧时力以前所未有的速度在中国市场发展壮大。在短短的两、三年间，迅速于中国60多个一、二类主要消费城市的160余家加盟店以及专柜年销售额达到2.5亿。销售业绩评效均名列前茅，整体业绩不断上扬！在女装市场享有一定的知名度和美誉度。欧时力(香港)集团全权代理意大利品牌欧时力(OCHIRLY)，并组建欧时力(中国)有限公司，全权负责OCHIRLY在大中华区的品牌经营。欧","contentEn":"uan in annual sales of over 160 franchise stores and counters in more than 60 primary and secondary consumer cities in China. In just two or three years, it quickly reached 250 million yuan in annual sales of over 160 franchise stores and counters in more than 60 primary and secondary consumer cities in China. In just two or three years, it quickly became the sole agent of the Italian brand OCHIRLY for the China Europe Shili (Hong Kong) Group, And establish Oushili (China) Co., Ltd., fully responsible for OCHIRLY's brand management in Greater China. Since Oushili entered the Chinese market in 1999, Oushili has grown and grown at an unprecedented speed in the Chinese market. In just two or three years, the annual sales of over 160 franchise stores and counters in over 60 major consumer cities in China reached 250 million yuan. The sales performance evaluation is among the top, and the overall performance is constantly improving! Enjoy a certain level of popularity and reputation in the women's clothing market. Oushili (Hong Kong) Group fully represents the Italian brand OCHIRLY and establishes Oushili (China) C","fileUrl":["/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/-iHrrg0zCe5ZJL5Za84da.png"],"startDate":"2023-11-22","endDate":"2024-11-30","address":"宿松县\n趾凤乡","addressEn":"sdvsdvdsvdv","shopCode":"","point":""}}]}
\ No newline at end of file
diff --git a/public/static/offline/JSON/getMallIntroduce.json b/public/static/offline/JSON/getMallIntroduce.json
deleted file mode 100644
index 270e3fb..0000000
--- a/public/static/offline/JSON/getMallIntroduce.json
+++ /dev/null
@@ -1 +0,0 @@
-{"code":200,"msg":"操作成功","data":[{"id":863,"entryCode":"3GfQMQiRwKu3fsJzRK66K","title":"商场介绍","content":{"title":"商场介绍","titleEn":"Shopping mall introduction","content":"星巴克会员是星巴克公司推出的一个会员计划，旨在为喜欢在星巴克消费的顾客提供更多的优惠和特别服务。星巴克会员计划是免费的，任何人都可以通过星巴克官方网站或者移动应用程序加入。\n通过成为星巴克会员，您可以享受以下优惠：\n星巴克星礼卡：星巴克会员可以通过星巴克移动应用程序购买和管理星巴克星礼卡，同时也可以获得更多的星礼卡奖励。\n积分奖励：星巴克会员可以通过消费获得积分，并且可以将积分兑换成免费的咖啡和食品。\n免费的生日饮料：在会员生日当天，星巴克会员可以获得一杯免费的咖啡或茶饮。\n优先订购新品：星巴克会员可以提前订购新品，并且可以获得更多的新品信息和特别优惠。\n其他会员专享优惠：星巴克会员可以获得更多的会员专享优惠，例如优惠券和特别活动等。\n总之，星巴克会员计划是一个非常实用和有用的计划，可以为星巴克的忠实消费者提供更多的优惠和特别服务。如果你经常在星巴克消费，那么加入星巴克会员计划是一个非常不错的选择。星巴克会员是星巴克公司推出的一个会员计划，旨在为喜欢在星巴克消费的顾客提供更多的优惠和特别服务。星巴克会员计划是免费的，任何人都可以通过星巴克官方网站或者移动应用程序加入。\n通过成为星巴克会员，您可以享受以下优惠：\n星巴克星礼卡：星巴克会员可以通过星巴克移动应用程序购买和管理星巴克星礼卡，同时也可以获得更多的星礼卡奖励。\n积分奖励：星巴克会员可以通过消费获得积分，并且可以将积分兑换成免费的咖啡和食品。\n免费的生日饮料：在会员生日当天，星巴克会员可以获得一杯免费的咖啡或茶饮。\n优先订购新品：星巴克会员可以提前订购新品，并且可以获得更多的新品信息和特别优惠。\n其他会员专享优惠：星巴克会员可以获得更多的会员专享优惠，例如优惠券和特别活动等。\n总之，星巴克会员计划是一个非常实用和有用的计划，可以为星巴克的忠实消费者提供更多的优惠和特别服务。如果你经常在星巴克消费，那么加入星巴克会员计划是一个非常不错的选择。","contentEn":"Starbucks Membership is a membership program launched by Starbucks, aimed at providing more discounts and special services to customers who enjoy spending at Starbucks. The Starbucks membership program is free and anyone can join through the Starbucks official website or mobile application.\n\nBy becoming a Starbucks member, you can enjoy the following benefits:\n\nStarbucks Star Gift Card: Starbucks members can purchase and manage Starbucks Star Gift Cards through the Starbucks mobile application, and also receive more Star Gift Card rewards.\n\nReward points: Starbucks members can earn points through consumption and exchange points for free coffee and food.\n\nFree birthday drinks: On a member's birthday, Starbucks members can receive a free cup of coffee or tea.\n\nPriority ordering of new products: Starbucks members can order new products in advance and receive more new product information and special discounts.\n\nOther member exclusive discounts: Starbucks members can receive more member exclusive discounts, such as coupons and special events.\n\nIn short, the Starbucks membership program is a very practical and useful program that can provide more discounts and special services to loyal Starbucks consumers. If you frequently consume at Starbucks, joining the Starbucks membership program is a great choice. Starbucks Membership is a membership program launched by Starbucks, aimed at providing more discounts and special services to customers who enjoy spending at Starbucks. The Starbucks membership program is free and anyone can join through the Starbucks official website or mobile application.\n\nBy becoming a Starbucks member, you can enjoy the following benefits:\n\nStarbucks Star Gift Card: Starbucks members can purchase and manage Starbucks Star Gift Cards through the Starbucks mobile application, and also receive more Star Gift Card rewards.\n\nReward points: Starbucks members can earn points through consumption and exchange points for free coffee and food.\n\nFree birthday drinks: On a member's birthday, Starbucks members can receive a free cup of coffee or tea.\n\nPriority ordering of new products: Starbucks members can order new products in advance and receive more new product information and special discounts.\n\nOther member exclusive discounts: Starbucks members can receive more member exclusive discounts, such as coupons and special events.\n\nIn short, the Starbucks membership program is a very practical and useful program that can provide more discounts and special services to loyal Starbucks consumers. If you frequently consume at Starbucks, joining the Starbucks membership program is a great choice.","fileUrl":["/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/VJbsZjrgosYObOUf2N_I8.png","/iotFile/project-o99mwit8jby-qb_xrffk2a/20231122/3V8BP8srpC6NU4NR3ZrRL.png","/iotFile/project-o99mwit8jby-qb_xrffk2a/20231122/6BktHfpGKb573yGJl38Hu.png","/iotFile/project-o99mwit8jby-qb_xrffk2a/20231122/rUqUUn9PuSahflt1W_fLy.png","/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/BPvpMWAbVyE3vVS1PVDf7.png","/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/73VK7_AzDJEBce3OCgP6l.jpg","/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/j4PG1vrmD_iqHGHOsOokU.png"]}}]}
\ No newline at end of file
diff --git a/public/static/offline/JSON/getMap.json b/public/static/offline/JSON/getMap.json
deleted file mode 100644
index 84c8a87..0000000
--- a/public/static/offline/JSON/getMap.json
+++ /dev/null
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08:50:46","updateTime":"2023-11-29 13:29:40"}}
\ No newline at end of file
diff --git a/public/static/offline/JSON/getMapInfo.json b/public/static/offline/JSON/getMapInfo.json
deleted file mode 100644
index a428931..0000000
--- a/public/static/offline/JSON/getMapInfo.json
+++ /dev/null
@@ -1,702 +0,0 @@
-{
- "code": 200,
- "msg": "操作成功",
- "data": {
- "shopList": [
- {
- "projectCode": "project-o99mwit8jby-qb_xrffk2a",
- "isSpecial": 0,
- "isPass": 1,
- "industryCode": "",
- "industryFatherCode": "IgA6IPVu8efV_Nj6BglZO",
- "industryFatherName": "生活配套",
- "industryFatherNameEn": "",
- "industryFatherNameJa": "",
- "industryFatherNameOl": "",
- "shopCode": "Zm0a2Gp2y2zG-tyu9R6ym",
- "shopName": "佬克拉",
- "shopNameEn": "",
- "shopNameJa": "",
- "shopNameOl": "",
- "alias": "",
- "logoCode": "qentCamtghXztYY2UxcSK",
- "logoUrl": "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231129/qentCamtghXztYY2UxcSK.png",
- "industryUrl": "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231122/HrR0FjrdJkKLFATk6L43J.png",
- "building": "苏州金地广场",
- "floor": "L3",
- "houseNumber": "L3-44",
- "intro": "Brand Introduction\n佬克拉男士理容馆专注男士理发是一家集纯正男士理发 文身\n潮牌 美酒音乐 派对 为一体的专属男人的社交场所 提供轻松\n愉悦的理发氛围 考究的工具 细节的处理 传递出我们的工作\n态度 除了理发本身更注重跟客户的关系 诚实 健康 快乐 大胆 \n全心全意提供一个专属男士的生活俱乐部\n老克拉，或称“老克勒”，指的是老上海那些阅历较深，收入较\n高，消费前卫，在文化休闲方式上独领潮流的都市男性族群。\n这些人大多出身于名门世家，受过当时的“洋 化”教育，目睹或\n亲历了十里洋场上灯红酒绿、光怪陆离的生活方式。“老”并不\n是指年纪老，而是经验丰富、久经历练的意思。",
- "introEn": "",
- "introJa": "",
- "introOl": "",
- "regionCode": "",
- "businessHours": "10:00-22:00",
- "contact": "13149439287",
- "gender": 3,
- "minAge": 1,
- "maxAge": 100,
- "thirdKouCode": "",
- "thirdMeiCode": "",
- "thirdZhiCode": "",
- "isNewShop": 0,
- "xaxis": "[-1076, 40, -598.5]",
- "yaxis": "51",
- "navXaxis": "-985",
- "navYaxis": "-601",
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diff --git a/public/static/offline/JSON/getMemberActivities.json b/public/static/offline/JSON/getMemberActivities.json
deleted file mode 100644
index 2b5a0dd..0000000
--- a/public/static/offline/JSON/getMemberActivities.json
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deleted file mode 100644
index 10cb09e..0000000
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+++ /dev/null
@@ -1 +0,0 @@
-{"code":200,"msg":"操作成功","data":[{"id":875,"entryCode":"W4wt3xv4k6GGATS0lTjIS","title":"会员权益","content":{"title":"会员权益说明","titleEn":"Member Benefits Description","content":"星巴克会员是星巴克公司推出的一个会员计划，旨在为喜欢在星巴克消费的顾客提供更多的优惠和特别服务。星巴克会员计划是免费的，任何人都可以通过星巴克官方网站或者移动应用程序加入。 通过成为星巴克会员，您可以享受以下优惠： 星巴克星礼卡：星巴克会员可以通过星巴克移动应用程序购买和管理星巴克星礼卡，同时也可以获得更多的星礼卡奖励。 积分奖励：星巴克会员可以通过消费获得积分，并且可以将积分兑换成免费的咖啡和食品。 免费的生日饮料：在会员生日当天，星巴克会员可以获得一杯免费的咖啡或茶饮。 优先订购新品：星巴克会员可以提前订购新品，并且可以获得更多的新品信息和特别优惠。 其他会员专享优惠：星巴克会员可以获得更多的会员专享优惠，例如优惠券和特别活动等。 总之，星巴克会员计划是一个非常实用和有用的计划，可以为星巴克的忠实消费者提供更多的优惠和特别服务。如果你经常在星巴克消费，那么加入星巴克会员计划是一个非常不错的选择。","contentEn":"ters in over 60 major consumer cities in China reached 250 million yuan. The sales performance evaluation is among the top, and the overall performance is constantly improving! Enjoy a certain level of popularity and reputation in the women's clothing market. Oushili (Hong Kong) Group fully represents the Italian brand OCHIRLY and establishes Oushili (China) Co., Ltd., fully responsible for OCHIRLY's brand management in Greater China. Since Oushili entered the Chinese market in 1999, Oushili has grown and grown at an unprecedented speed in the Chinese market. In just two or three years, it quickly reached 250 million yuan in annual sales of over 160 franchise stores and counters in more than 60 primary and secondary consumer cities in China. In just two or three years, it quickly reached 250 million yuan in annual sales of over 160 franchise stores and counters in more than 60 primary and secondary consumer cities in China. In just two or three years, it quickly became the sole agent of the Italian brand OCHIRLY for the China Europe Shili (Hong Kong) Group, And establish Oushili (China) Co., Ltd., fully responsible for OCHIRLY's brand management in Greater China. Since Oushili entered the Chinese market in 1999, Oushili has grown and grown at an unprecedented speed in the Chinese market. In just two or three years, the annual sales of over 160 franchise stores and counters in over 60 major consumer cities in China reached 250 million yuan. The sales performance evaluation is among the top, and the overall performance is constantly improving! Enjoy a certain level of popularity and reputation in the women's clothing market. Oushili (Hong Kong) Group fully represents the Italian brand OCHIRLY and establishes Oushili (China) Co., Ltd., fully responsible for OCHIRLY's brand management in Greater C","fileUrl":["/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/V9SeLCUSONtMC47-rgg2P.jpg","/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/EF37Hf915FXPqUFQVLFPl.png","/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/nnOfJ-nOOTw9XZvGuYepq.png"]}}]}
\ No newline at end of file
diff --git a/public/static/offline/JSON/getMemberBenefitsQr.json b/public/static/offline/JSON/getMemberBenefitsQr.json
deleted file mode 100644
index 8f0d61e..0000000
--- a/public/static/offline/JSON/getMemberBenefitsQr.json
+++ /dev/null
@@ -1 +0,0 @@
-{"code":200,"msg":"操作成功","data":[{"id":876,"entryCode":"UAruQ5GPKRPY4DmlGC5P0","title":"权益公众号二维码","content":{"title":"这是一个会员权益二维码","titleEn":"This is a membership benefit QR code","fileUrl":["/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/zfuEWsE7ESBKV-GuBdMUo.png"]}},{"id":877,"entryCode":"bBR48d7k6-tmqG76UM-4r","title":"app二维码","content":{"title":"app二维码","titleEn":"","fileUrl":["/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/e0VdPdyrwTA8X--sm7St0.png"]}}]}
\ No newline at end of file
diff --git a/public/static/offline/JSON/getMenuList.json b/public/static/offline/JSON/getMenuList.json
deleted file mode 100644
index 1924244..0000000
--- a/public/static/offline/JSON/getMenuList.json
+++ /dev/null
@@ -1 +0,0 @@
-{"code":200,"msg":"操作成功","data":[{"id":227,"moduleName":"首页","moduleCode":"VK75wNddyFPAVJ3LgoPnY","routePath":"/","sort":1,"moduleDescription":"Index","moduleDisplay":1,"projectCode":"project-o99mwit8jby-qb_xrffk2a","isDelete":0},{"id":228,"moduleName":"地图","moduleCode":"2PKv98_yC109F2LSytWuA","routePath":"/guide","sort":2,"moduleNameEn":"MAP","moduleDescription":"Guide","moduleDisplay":1,"projectCode":"project-o99mwit8jby-qb_xrffk2a","isDelete":0},{"id":229,"moduleName":"品牌","moduleCode":"Zu5KmKg-fbxQPQVb-1YuL","routePath":"/brand","sort":3,"moduleNameEn":"BRAND","moduleDescription":"Brand","moduleDisplay":1,"projectCode":"project-o99mwit8jby-qb_xrffk2a","isDelete":0},{"id":230,"moduleName":"美食","moduleCode":"34mBgSwKLPfL5jNUg23f3","routePath":"/foods","sort":4,"moduleNameEn":"FOOD","moduleDescription":"Foods","moduleDisplay":1,"projectCode":"project-o99mwit8jby-qb_xrffk2a","isDelete":0},{"id":231,"moduleName":"活动","moduleCode":"hfT6vqUfQIVN6BTqMsGgd","routePath":"/activity","sort":5,"moduleNameEn":"ACTIVITY","moduleDescription":"Activity","moduleDisplay":1,"projectCode":"project-o99mwit8jby-qb_xrffk2a","isDelete":0},{"id":232,"moduleName":"会员","moduleCode":"obignoE7QUoRcO6R_Rx1e","moduleLogo":"/iotFile/project-o99mwit8jby-qb_xrffk2a/20231122/4tGwnAXN3DwndvpdzSSwq.png","routePath":"/member","sort":6,"moduleNameEn":"MEMBER","moduleDescription":"Member","moduleDisplay":1,"projectCode":"project-o99mwit8jby-qb_xrffk2a","isDelete":0},{"id":233,"moduleName":"泊车","moduleCode":"PrGWpDcfASphlGYZLy7As","moduleLogo":"/iotFile/project-o99mwit8jby-qb_xrffk2a/20231122/okVJnNAQrFcckTKDl_3Nw.png","routePath":"/parking","sort":7,"moduleNameEn":"PARKING","moduleDescription":"Parking","moduleDisplay":1,"projectCode":"project-o99mwit8jby-qb_xrffk2a","isDelete":0},{"id":234,"moduleName":"服务","moduleCode":"xlAe4MDolJdCOiiw6MOY9","moduleLogo":"/iotFile/project-o99mwit8jby-qb_xrffk2a/20231122/c7vvQX02wt4so8zIgsGqh.png","routePath":"/service","sort":8,"moduleNameEn":"SERVICE","moduleDescription":"Service","moduleDisplay":1,"projectCode":"project-o99mwit8jby-qb_xrffk2a","isDelete":0}]}
\ No newline at end of file
diff --git a/public/static/offline/JSON/getParkingInfo.json b/public/static/offline/JSON/getParkingInfo.json
deleted file mode 100644
index 3464ea3..0000000
--- a/public/static/offline/JSON/getParkingInfo.json
+++ /dev/null
@@ -1 +0,0 @@
-{"code":200,"msg":"操作成功","data":[{"id":869,"entryCode":"nctaCLeEH43IosCwEbMG4","title":"停车场介绍","content":{"fileUrl":["/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/tvcJKI-CgMOznWUOAUOPK.png","/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/bGBR0nNu8cmSW2uWq8p0p.png","/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/Y_vc5T3sOowRtKzPfKxd6.png","/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/Gh8SGrJ2eeUHJxUxcPHoE.png","/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/F0hmRmcoSxadN0A3hsK00.png","/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/plwdvxVKOtEfO7vtIXrRC.png","/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/zyR1YybHvfk5N9cwgrrUg.png","/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/A36aD59URwli_QFFrkF0O.png","/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/N8FpaAwJhAYHwwRKTO1cz.png","/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/wDL-SLXj9lbHwvttHG4s-.png"],"qrTitle":"扫码缴费","qrTitleEn":"Scan code to pay","qrUrl":["/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/6k8KmemD79Vz9nVjA5qCV.png"]}}]}
\ No newline at end of file
diff --git a/public/static/offline/JSON/getProjectUsedIconList.json b/public/static/offline/JSON/getProjectUsedIconList.json
deleted file mode 100644
index 762c65a..0000000
--- a/public/static/offline/JSON/getProjectUsedIconList.json
+++ /dev/null
@@ -1 +0,0 @@
-{"code":200,"msg":"操作成功","data":[{"code":"9zJ-ivQmbOq8IWnmcOj4-","name":"直梯","nameEn":"","customFacilityName":"","customFacilityNameEn":"","customFacilityNameOl":"","abbreviation":"dt","node":"5","objCode":"5","filePath":"https://test-598d.1000my.com/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/82rC9DxmkPxbDfpNb5-CO.png","navFilePath":"/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/82rC9DxmkPxbDfpNb5-CO.png"},{"code":"-RUO-d2dBbSCbCnM9HYfv","name":"扶梯","nameEn":"","customFacilityName":"","customFacilityNameEn":"","customFacilityNameOl":"","abbreviation":"ft","node":"0","objCode":"0","filePath":"https://test-598d.1000my.com/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/J4bKlJ_NUkcNrV2DifKLv.png","navFilePath":"/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/J4bKlJ_NUkcNrV2DifKLv.png"},{"code":"WtRlLjCnxV0EBxySQ1wW0","name":"出入门","nameEn":"","customFacilityName":"","customFacilityNameEn":"","customFacilityNameOl":"","abbreviation":"door","node":"39","objCode":"39","filePath":"https://test-598d.1000my.com/convert/Files/d4cef981-bd89-42ec-a80c-558d5ecd89fd/door.png","navFilePath":"/convert/Files/d4cef981-bd89-42ec-a80c-558d5ecd89fd/door.png"},{"code":"_jw1E6or2zh23BkC1hYgR","name":"洗手间","nameEn":"","customFacilityName":"","customFacilityNameEn":"","customFacilityNameOl":"","abbreviation":"xsj","node":"4","objCode":"4","filePath":"https://test-598d.1000my.com/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/1rIqKb-yOyMoXt8mD4-jz.png","navFilePath":"/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/1rIqKb-yOyMoXt8mD4-jz.png"},{"code":"gKu1VchCK5hJ1-JZqs_z0","name":"无障碍卫生间","nameEn":"","customFacilityName":"","customFacilityNameEn":"","customFacilityNameOl":"","abbreviation":"cjr","node":"10","objCode":"10","filePath":"https://test-598d.1000my.com/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/-vTAzDb7svNbpPg6MCsGe.png","navFilePath":"/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/-vTAzDb7svNbpPg6MCsGe.png"},{"code":"XGS5tldDkVVvRXlZYDKVG","name":"母婴室","nameEn":"","customFacilityName":"","customFacilityNameEn":"","customFacilityNameOl":"","abbreviation":"mys","node":"3","objCode":"3","filePath":"https://test-598d.1000my.com/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/vzjlunIvV261P6rjorfk_.png","navFilePath":"/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/vzjlunIvV261P6rjorfk_.png"},{"code":"gfrN-6pOy8DJpQdQsmuJ6","name":"服务台","nameEn":"","customFacilityName":"","customFacilityNameEn":"","customFacilityNameOl":"","abbreviation":"fwt","node":"7","objCode":"7","filePath":"https://test-598d.1000my.com/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/kY6CMZdTOOYlmzI3he81k.png","navFilePath":"/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/kY6CMZdTOOYlmzI3he81k.png"}]}
\ No newline at end of file
diff --git a/public/static/offline/JSON/getRecommendTab.json b/public/static/offline/JSON/getRecommendTab.json
deleted file mode 100644
index 3c13d8a..0000000
--- a/public/static/offline/JSON/getRecommendTab.json
+++ /dev/null
@@ -1,51 +0,0 @@
-{
- "code": 200,
- "msg": "操作成功",
- "data": [
- {
- "id": 881,
- "entryCode": "dR5MltAn47XHNzEAk-QFc",
- "title": "好吃的",
- "content": {
- "title": "好吃的",
- "titleEn": "Delicious",
- "icon": [
- "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/l41_KV3V2kVkqEpIoJWuT.png"
- ],
- "type": "foods",
- "subTitle": "这里有超多
不容错过的特色美食
",
- "subTitleEn": "There are so many here
A must-have specialty food
"
- }
- },
- {
- "id": 882,
- "entryCode": "m2OyVzqGS69tz8uxipkKZ",
- "title": "值得买",
- "content": {
- "title": "值得买",
- "titleEn": "",
- "icon": [
- "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/XOo4ugjShQHzO-gpfW1iv.png"
- ],
- "type": "shopping",
- "subTitle": "精心为您整理的
种草好物
",
- "subTitleEn": ""
- }
- },
- {
- "id": 883,
- "entryCode": "f5Qlv--jbQMlNEvPA8bjl",
- "title": "好玩的",
- "content": {
- "title": "好玩的",
- "titleEn": "",
- "icon": [
- "/iotFile/project-o99mwit8jby-qb_xrffk2a/20231128/LbQ08IAQOUe4No9oZsRLp.png"
- ],
- "type": "playing",
- "subTitle": "",
- "subTitleEn": ""
- }
- }
- ]
-}
diff --git a/public/static/offline/JSON/getRecommendTabOfList.json b/public/static/offline/JSON/getRecommendTabOfList.json
deleted file mode 100644
index 80ba376..0000000
--- a/public/static/offline/JSON/getRecommendTabOfList.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
- "code": 200,
- "msg": "操作成功",
- "data": []
-}
\ No newline at end of file
diff --git a/public/static/offline/JSON/getShopActivities.json b/public/static/offline/JSON/getShopActivities.json
deleted file mode 100644
index 7ad2788..0000000
--- a/public/static/offline/JSON/getShopActivities.json
+++ /dev/null
@@ -1 +0,0 @@
-{"code":200,"msg":"操作成功","data":[{"id":873,"entryCode":"LM4TsPEclWNZrPruxjqiF","title":"店铺活动一","content":{"title":"2024年秋季系列Miss Dior 花漾系列香水惊喜上线","titleEn":"Fall 2024 Miss Dior Floral Series perfume Surprise Launch","content":"欧时力(香港)集团全权代理意大利品牌欧时力(OCHIRLY)，并组建欧时力(中国)有限公司，全权负责OCHIRLY在大中华区的品牌经营。欧时力自1999年进入中国市场以来，欧时力以前所未有的速度在中国市场发展壮大。在短短的两、三年间，迅速于中国60多个一、二类主要消费城市的160余家加盟店以及专柜年销售额达到2.5亿。销售业绩评效均名列前茅，整体业绩不断上扬！在女装市场享有一定的知名度和美誉度。欧时力(香港)集团全权代理意大利品牌欧时力(OCHIRLY)，并组建欧时力(中国)有限公司，全权负责OCHIRLY在大中华区的品牌经营。欧时力自1999年进入中国市场以来，欧时力以前所未有的速度在中国市场发展壮大。在短短的两、三年间，迅速于中国60多个一、二类主要消费城市的160余家加盟店以及专柜年销售额达到2.5亿在短短的两、三年间，迅速于中国60多个一、二类主要消费城市的160余家加盟店以及专柜年销售额达到2.5亿在短短的两、三年间，迅速于中欧时力(香港)集团全权代理意大利品牌欧时力(OCHIRLY)，并组建欧时力(中国","contentEn":"Oushili (Hong Kong) Group fully represents the Italian brand OCHIRLY and establishes OCHIRLY (China) Co., Ltd., fully responsible for OCHIRLY's brand management in Greater China. Since entering the Chinese market in 1999, Oushili has developed and grown at an unprecedented speed in the Chinese market. In just two to three years, the annual sales of over 160 franchise stores and counters in over 60 major consumer cities in China reached 250 million. Sales performance evaluation is among the top, and overall performance continues to improve! Has a certain level of popularity and reputation in the women's clothing market. Oushili (Hong Kong) Group fully represents the Italian brand OCHIRLY and establishes OCHIRLY (China) Co., Ltd., fully responsible for OCHIRLY's brand management in Greater China. Since entering the Chinese market in 1999, Oushili has developed and grown at an unprecedented speed in the Chinese market. In just two or three years, it quickly reached 250 million yuan in annual sales of over 160 franchise stores and counters in over 60 primary and secondary consumer cities in China. In just two or three years, it quickly reached 250 million yuan in annual sales of over 160 franchise stores and counters in over 60 primary and secondary consumer cities in China. In just two or three years, it quickly fully represented the Italian brand OCHIRLY under the China Europe Shili (Hong Kong) Group, And establish Oushili (China)","fileUrl":["/iotFile/project-o99mwit8jby-qb_xrffk2a/20231122/sOaykHVfY47pbL80MEv4Q.jpg"],"startDate":"2023-11-22","endDate":"2025-11-29","address":"","addressEn":"","shopCode":"BKDvK95c8BCsWPCCUEFbp","point":""}},{"id":874,"entryCode":"klvhX-ELzV8qJzpPvq2kL","title":"店铺活动二","content":{"title":"点位-L2-17","titleEn":"","content":"","contentEn":"","fileUrl":["/iotFile/project-o99mwit8jby-qb_xrffk2a/20231122/kx2j-bqI6kldoWI2suOn9.jpg"],"startDate":"2023-11-22","endDate":"2024-11-30","address":"啊手动阀手动阀","addressEn":"","shopCode":"","point":"0_5_17"}}]}
\ No newline at end of file
diff --git a/public/static/offline/JSON/getSpecialIndustry.json b/public/static/offline/JSON/getSpecialIndustry.json
deleted file mode 100644
index 63a029b..0000000
--- a/public/static/offline/JSON/getSpecialIndustry.json
+++ /dev/null
@@ -1,14 +0,0 @@
-{
- "code": 200,
- "msg": "操作成功",
- "data": [
- {
- "id": 897,
- "entryCode": "L76mmDvOiY6TRRW9ENuaI",
- "title": "业态",
- "content": {
- "industryCode": "xJ9TDqzwZeOxh3XKuF4CY"
- }
- }
- ]
-}
\ No newline at end of file
diff --git a/public/static/offline/JSON/getWeather.json b/public/static/offline/JSON/getWeather.json
index f082ee3..cd66719 100644
--- a/public/static/offline/JSON/getWeather.json
+++ b/public/static/offline/JSON/getWeather.json
@@ -1 +1,26 @@
-{"code":200,"msg":"操作成功","data":{"area":"苏州","o3":"41","city":"苏州","windPower":"2级","aqi_pm25":"70","pm10":"70","co":"1","quality":"良","no2":"42","temperatureHigh":"19","update_time":"1701207063","temperatureNow":"11.7","temperatureLow":"7","so2":"10","weather":"多云转阴","aqi":"94","humidity":"73%","windDirection":"东南风","prov":"江苏","pm":"127"}}
\ No newline at end of file
+{
+ "code": 200,
+ "msg": "操作成功",
+ "data": {
+ "area": "苏州",
+ "o3": "41",
+ "city": "苏州",
+ "windPower": "2级",
+ "aqi_pm25": "70",
+ "pm10": "70",
+ "co": "1",
+ "quality": "良",
+ "no2": "42",
+ "temperatureHigh": "19",
+ "update_time": "1701207063",
+ "temperatureNow": "11.7",
+ "temperatureLow": "7",
+ "so2": "10",
+ "weather": "多云转阴",
+ "aqi": "94",
+ "humidity": "73%",
+ "windDirection": "东南风",
+ "prov": "江苏",
+ "pm": "127"
+ }
+}
diff --git a/public/static/offline/convert/Files/03f408da-6e69-4177-aa6a-077edf93d317/ht.png b/public/static/offline/convert/Files/03f408da-6e69-4177-aa6a-077edf93d317/ht.png
deleted file mode 100644
index 76f1b5a..0000000
Binary files a/public/static/offline/convert/Files/03f408da-6e69-4177-aa6a-077edf93d317/ht.png and /dev/null differ
diff --git a/public/static/offline/convert/Files/03fdc19d-3496-496f-8c69-3a9672968a6b/dyj.png b/public/static/offline/convert/Files/03fdc19d-3496-496f-8c69-3a9672968a6b/dyj.png
deleted file mode 100644
index fc0ad80..0000000
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diff --git a/public/static/offline/convert/Files/09394353-368f-4353-a1d1-150a4453adec/xmb.png b/public/static/offline/convert/Files/09394353-368f-4353-a1d1-150a4453adec/xmb.png
deleted file mode 100644
index 8da1d52..0000000
Binary files a/public/static/offline/convert/Files/09394353-368f-4353-a1d1-150a4453adec/xmb.png and /dev/null differ
diff --git a/public/static/offline/convert/Files/0c783f8d-0efb-4916-9835-d7dd244f8126/lt.png b/public/static/offline/convert/Files/0c783f8d-0efb-4916-9835-d7dd244f8126/lt.png
deleted file mode 100644
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diff --git a/public/static/qm/MainMap_QM.js b/public/static/qm/MainMap_QM.js
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--- a/public/static/qm/MainMap_QM.js
+++ /dev/null
@@ -1,8159 +0,0 @@
-var Map_QM,
- renderFrame = -1,
- renderCount = 0,
- pathCameraState,
- mapState = "mall",
- iconState = "3d",
- heatmapInstance,
- isShowElement = true,
- isJUZ = false,
- allJU = true,
- hasLine = false,
- startRotate = false,
- intTimer,
- shopTime,
- allTime,
- language = "zh";
-//basePath 基础路径 graphPath最佳路径 ftPath 扶梯路径 dtPath 电梯路径
-
-var typeObj = [
- { ft: 0, type: 0, code: "ft", name: "扶梯" },
- { upft: 1, type: 1, code: "upft", name: "上扶梯" },
- { downft: 2, type: 2, code: "downft", name: "下扶梯" },
- { mys: 3, type: 3, code: "mys", name: "母婴室" },
- { xsj: 4, type: 4, code: "xsj", name: "洗手间" },
- { dt: 5, type: 5, code: "dt", name: "直梯" },
- { hxkj: 6, type: 6, code: "hxkj", name: "焕醒空间" },
- { fwt: 7, type: 7, code: "fwt", name: "服务台" },
- { tcc: 8, type: 8, code: "tcc", name: "停车场" },
- { hhkj: 9, type: 9, code: "hhkj", name: "焕活空间" },
- { cjr: 10, type: 10, code: "cjr", name: "无障碍洗手间" },
- { xys: 11, type: 11, code: "xys", name: "吸烟室" },
- { upft: 12, type: 12, code: "upft", name: "上扶梯" },
- { downft: 13, type: 13, code: "downft", name: "下扶梯" },
- { dkbc: 14, type: 14, code: "dkbc", name: "代客泊车" },
- { tczj: 15, type: 15, code: "tczj", name: "童车租借" },
- { ysc: 16, type: 16, code: "ysc", name: "饮水处" },
- { ztg: 17, type: 17, code: "ztg", name: "L1自提柜" },
- { thg: 18, type: 18, code: "thg", name: "B1自提柜" },
- { cwysd: 19, type: 19, code: "cwysd", name: "宠物饮水点" },
- { td: 20, type: 20, code: "td", name: "人行通道" },
- { dit: 21, type: 21, code: "dit", name: "地铁" },
- { czc: 22, type: 22, code: "czc", name: "出租车" },
- { atm: 23, type: 23, code: "atm", name: "ATM" },
- { jcfw: 24, type: 24, code: "jcfw", name: "寄存服务" },
- { sjcd: 25, type: 25, code: "sjcd", name: "手机充电" },
- { bc: 26, type: 26, code: "bc", name: "泊车" },
- { cjc: 27, type: 27, code: "cjc", name: "裁剪处" },
- { jtn: 28, type: 28, code: "jtn", name: "家庭洗手间(男)" },
- { jtv: 29, type: 29, code: "jtv", name: "家庭洗手间(女)" },
- { ksgj: 30, type: 30, code: "ksgj", name: "公交" },
- { sjxsn: 31, type: 31, code: "sjxsn", name: "无障碍洗手间男" },
- { sjxsv: 32, type: 32, code: "sjxsv", name: "无障碍洗手间女" },
- { tcjf: 33, type: 33, code: "tcjf", name: "停车缴费" },
- { vip: 34, type: 34, code: "vip", name: "VIP" },
- { xsjn: 35, type: 35, code: "xsjn", name: "男洗手间" },
- { xsjv: 36, type: 36, code: "xsjv", name: "女洗手间" },
- { yszj: 37, type: 37, code: "yszj", name: "雨伞租借" },
- { dyj: 38, type: 38, code: "dyj", name: "打印机" },
- { door: 39, type: 39, code: "door", name: "出入口" },
- { pq: 40, type: 40, code: "pq", name: "喷泉" },
- { d1k: 41, type: 41, code: "d1k", name: "1号出入口" },
- { d2k: 42, type: 42, code: "d2k", name: "2号出入口" },
- { d3k: 43, type: 43, code: "d3k", name: "3号出入口" },
- { d4k: 44, type: 44, code: "d4k", name: "4号出入口" },
- { mjzyf: 45, type: 45, code: "mjzyf", name: "门急诊药房" },
- { cryc: 46, type: 46, code: "cryc", name: "出入院处" },
- { rggh: 47, type: 47, code: "rggh", name: "人工挂号收费处" },
- { zzyl: 48, type: 48, code: "zzyl", name: "自动饮料贩卖机" },
- { gxly: 49, type: 49, code: "gxly", name: "共享轮椅" },
- { ysp: 50, type: 50, code: "ysp", name: "艺术品" },
- { B1up: 51, type: 51, code: "B1up", name: "" },
- { B1down: 52, type: 52, code: "B1down", name: "" },
- { B2up: 53, type: 53, code: "B2up", name: "" },
- { B2down: 54, type: 54, code: "B2down", name: "" },
- { B3up: 55, type: 55, code: "B3up", name: "" },
- { B3down: 56, type: 56, code: "B3down", name: "" },
- { xcgc: 57, type: 57, code: "xcgc", name: "下沉广场" },
- { tthy: 58, type: 58, code: "tthy", name: "天台花园" },
- { ybck: 59, type: 59, code: "ybck", name: "医保窗口" },
- { zzfw: 60, type: 60, code: "zzfw", name: "自助服务" },
- { gjj: 61, type: 61, code: "gjj", name: "工具间" },
- { syt1: 62, type: 62, code: "syt1", name: "mall收银台" },
- { gwc: 63, type: 63, code: "gwc", name: "购物车" },
- { ht: 64, type: 64, code: "ht", name: "花坛" },
- { jrc: 65, type: 65, code: "jrc", name: "自助加热" },
- { qbc: 66, type: 66, code: "qbc", name: "自助取冰" },
- { zxc: 67, type: 67, code: "zxc", name: "自行车停放" },
- { jws: 68, type: 68, code: "jws", name: "警务室" },
- { etxsj: 69, type: 69, code: "etxsj", name: "儿童洗手间" },
- { vip_xxq: 70, type: 70, code: "vip_xxq", name: "vip休息区" },
- { ab: 71, type: 71, code: "ab", name: "安保" },
- { abjks: 72, type: 72, code: "abjks", name: "安保监控室" },
- { bys: 73, type: 73, code: "bys", name: "播音室" },
- { cpgys: 74, type: 74, code: "cpgys", name: "裁判更衣室" },
- { gzyld: 75, type: 75, code: "gzyld", name: "观众医疗点" },
- { hqgys: 76, type: 76, code: "hqgys", name: "后勤更衣室" },
- { jjs: 77, type: 77, code: "jjs", name: "急救室" },
- { jw: 78, type: 78, code: "jw", name: "警卫" },
- { ksj: 79, type: 79, code: "ksj", name: "开水间" },
- { kt: 80, type: 80, code: "kt", name: "看台" },
- { qzgysn: 81, type: 81, code: "qzgysn", name: "亲自更衣（男）" },
- { rsggys: 82, type: 82, code: "rsggys", name: "热身馆更衣室" },
- { swzl: 83, type: 83, code: "swzl", name: "失物招领" },
- { tsgbs1: 84, type: 84, code: "tsgbs1", name: "特殊贵宾室1" },
- { tsgbs2: 85, type: 85, code: "tsgbs2", name: "特殊贵宾室2" },
- { tsgbs3: 86, type: 86, code: "tsgbs3", name: "特殊贵宾室3" },
- { wxc: 87, type: 87, code: "wxc", name: "闻讯处" },
- { lt: 88, type: 88, code: "lt", name: "楼梯" },
- { yhs: 89, type: 89, code: "yhs", name: "医护室" },
- { yls: 90, type: 90, code: "yls", name: "医疗室" },
- { ylz: 91, type: 91, code: "ylz", name: "医疗站" },
- { ydygys: 92, type: 92, code: "ydygys", name: "运动员更衣室" },
- { ydygysn: 93, type: 93, code: "ydygysn", name: "运动员男更衣室" },
- { ydygysv: 94, type: 94, code: "ydygysv", name: "运动员女更衣室" },
- { zls: 95, type: 95, code: "zls", name: "诊疗室" },
- { zys: 96, type: 96, code: "zys", name: "直饮水" },
- { zas: 97, type: 97, code: "zas", name: "治安室" },
- { xxq: 98, type: 98, code: "xxq", name: "休息区" },
- { jtxsj: 99, type: 99, code: "jtxsj", name: "家庭洗手间" },
- { hzs: 100, type: 100, code: "hzs", name: "化妆室" },
- { brs: 101, type: 101, code: "brs", name: "哺乳室" },
- { mtl: 102, type: 102, code: "mtl", name: "摩天轮" },
- { dgnxsj: 103, type: 103, code: "dgnxsj", name: "多功能洗手间" },
- { wxbxsj: 104, type: 104, code: "wxbxsj", name: "无性别洗手间" },
- { sjzx: 105, type: 105, code: "sjzx", name: "设计中心" },
- { dxp: 106, type: 106, code: "dxp", name: "导向牌" },
- { gydh: 107, type: 107, code: "gydh", name: "公用电话" },
- { sgq: 108, type: 108, code: "sgq", name: "石拱桥" },
- { wxw: 109, type: 109, code: "wxw", name: "无线网" },
- { xmb: 110, type: 110, code: "xmb", name: "小卖部" },
- { zyzfwz: 111, type: 111, code: "zyzfwz", name: "志愿者服务站" },
- { ykzx: 112, type: 112, code: "ykzx", name: "服务中心" },
- { zjyy: 113, type: 113, code: "zjyy", name: "专家预约处" },
- { yjt: 114, type: 114, code: "yjt", name: "预检台" },
- { mzjd: 115, type: 115, code: "mzjd", name: "门诊综合接待室" },
- { hd: 116, type: 116, code: "hd", name: "活动点" },
- { bsl: 117, type: 117, code: "bsl", name: "白石龙" },
- { xzl: 118, type: 118, code: "xzl", name: "写字楼" },
- { axzj: 119, type: 119, code: "axzj", name: "爱心租借" },
- { cdz: 120, type: 120, code: "cdz", name: "充电桩" },
- { hjcq: 121, type: 121, code: "hjcq", name: "黑金车区" },
- { yjjj: 122, type: 122, code: "yjjj", name: "宜家家居" },
-];
-
-var QMUtil = function () {
- this.shopServerInfo = "./static/offline/JSON/QueryShopList.json";
- this.mapServerInfo = "./static/offline/JSON/GetMapInfo.json";
- this.beforPath = "./"; //https://qianmu-iot.1000my.com/QMAPSDK/
- this.tomUrl = "https://qianmu-iot.1000my.com";
- this.options = {
- playSpeed: 8, //动画播放速度
- speedMult: 1, //动画播放倍数
- collision: true, //是否支持名称的碰撞检测
- modelIcon: true, //是否使用模型 true 模型 false 图标
- otherPath: [], //人为干预的路线 [{f:"0_5_10",s:"1_5_47",d:500},{f:"1_5_47",s:"0_5_10",d:500}];
- bSpace: 3000,
- fSpace: 500, //双叠层状态下楼层的间距
- maxDis: 700,
- minDis: 100,
- shadow: true, //是否显示阴影
- navColor: 0xee6a50, //途径店铺颜色
- aRadius: 2, //圆角半径 大于2 则店铺box显示圆角
- iconName: false, //图标名称是否显示
- mapScale: 18, //地图比例尺
- pathColor: "#6e95fe", //
- pathColor2: "#6e7dfe", //'rgb(110,125,254)'
- pathBgColor: "#a9b5d3", //'rgb(169,181,211)'
- pathBgColor2: "#bdc0cb", //'rgb(189, 192, 203)',
- pathStyle: "3D",
- shopStyle: "shopName", //设置box显示名称shopName或编号shopNum
- inArea: true, //点击后是否聚焦到店铺
- boxShop: [], //设置box上显示的文字(过滤指)，可点击触发onlyShop
- deviceAng: false, //地图初始化方向是否使用设备角度
- northShow: false, //指南针显示
- facSize: 20, //设施大小
- };
- this.lightOptions = {
- d_col: "#ffffff",
- d_int: 0.2,
- s_col: "#fffffa",
- g_col: "#ffffff",
- a_int: 0.85,
- };
- this.m_zoom = 1.2; //2D地图缩放大小
- this._clock = new THREE.Clock();
- this._indexPathFloor = 0; // 遍历途径数据
- this.changeDist = { inner: 300, outner: 900 };
- /**
- * isPathState 寻路状态
- */
- this.pathStateObj = {
- isPathState: false,
- isPathPlay: true,
- basePath: "",
- graphPath: "",
- ftPath: "",
- dtPath: "",
- facAllArr: [],
- forShopArr: {},
- elevator: null,
- straight: null,
- elevatorDown: null,
- seldtFacNo: { type: "", no: "" },
- };
- this.timeObj = { collTime: -1, pathTime: -1 };
- this.sceneGap = { cameraX: 0, cameraY: 220, cameraZ: 220, x: 0, y: 0, z: 0, scale: 0.08 }; //改变地图位置，大小
- this.isMorePath = false; //多节点寻路模式
- this.selectBuild = 0;
- this.selectFloor = 0;
- this.deviceObj = {}; //angle --- 设备旋转角度 node ---- 设备导航点位 floor --- 设备楼层
- this.startObj = {}; // 导航起点；
- this.overObj = {}; //导航结束点
- this.buildHeight = 5;
- this.shopHeight = 30; //店铺高度 控制店铺相关的其它第三方组件高度
- //添加平铺logo {floor:5, logoUrl:"./static/img/ss.png", imgW:395, imgH:376, xaxis:1550, yaxis:-860, site:30}
- this.logos = [];
- /**
- * 外立面
- * Map_QM.util.initModelArr=[{url:"./static/img/out/yong.glb",type:"out", scale:1, rot:{x:0,y:0,z:0}, site:{x:0,y:0,z:0}, colorModel:"gama" }];
- */
- this.initModelArr = []; //
- /**
- * 一直显示不隐藏, 在楼层内显示
- * {floor:6, url:"static/img/out/skp.glb", list:[{size:{x:12.5,y:12.5,z:12.5}, rot:{x:1.5708,y:0,z:0}, site:{x:0,y:0,z:0}}]}
- */
- this.modelArr = [];
- this.modelStr = [
- //种树
- {key: "tree", url: "static/img/model/tree.gltf", colorModel: "line", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 1, y: 1, z: 1 }, load: false },
- {key: "tree2", url: "static/img/model/tree2.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "tree3", url: "static/img/model/tree3.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "grass", url: "static/img/model/grass.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "flower1", url: "static/img/model/flower1.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 },load: false},
- {key: "flower2", url: "static/img/model/flower2.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
-
- {key: "huatan1", url: "static/img/model/huatan1.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "huatan2", url: "static/img/model/huatan2.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "penquan2", url: "static/img/model/penquan2.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "qiche1", url: "static/img/model/qiche1.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "qiche2", url: "static/img/model/qiche2.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "qiche3", url: "static/img/model/qiche3.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "qiche4", url: "static/img/model/qiche4.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "qiche5", url: "static/img/model/qiche5.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "qiche6", url: "static/img/model/qiche6.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "qiche7", url: "static/img/model/qiche7.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "qiche8", url: "static/img/model/qiche8.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "qiche9", url: "static/img/model/qiche9.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "jt_up", url: "static/img/model/jt_up.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "jt_left", url: "static/img/model/jt_left.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "jt_left_up", url: "static/img/model/jt_left_up.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "jt_right", url: "static/img/model/jt_right.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "jt_right_up", url: "static/img/model/jt_right_up.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "jt_turn", url: "static/img/model/jt_turn.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "ludeng", url: "static/img/model/ludeng.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "taiyangsan", url: "static/img/model/taiyangsan.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "honglvdeng", url: "static/img/model/honglvdeng.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "park_paly", url: "static/img/model/park_paly.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 80, y: 80, z: 80 }, load: false },
- {key: "chongdianzhuang", url: "static/img/model/chongdianzhuang.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "IDS_H", url: "static/img/model/IDS_H.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "IDS_V", url: "static/img/model/IDS_V.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "officeTV", url: "static/img/model/officeTV.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "xiaofangshuan", url: "static/img/model/xiaofangshuan.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "tingchechang", url: "static/img/model/tingchechang.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "chechanglangan", url: "static/img/model/chechanglangan.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "bangongyi", url: "static/img/model/bangongyi.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "lvzhi", url: "static/img/model/lvzhi.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "ren1", url: "static/img/model/ren1.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "ren2", url: "static/img/model/ren2.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "ren3", url: "static/img/model/ren3.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "ren4", url: "static/img/model/ren4.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "ren5", url: "static/img/model/ren5.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "ren6", url: "static/img/model/ren6.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "table", url: "static/img/model/table.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "yizi1", url: "static/img/model/yizi1.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- {key: "gjz1", url: "static/img/model/gjz1.glb", colorModel: "gama", rot: { x: 1.5708, y: 0, z: 0 }, size: { x: 20, y: 20, z: 20 }, load: false },
- ];
- this.fbxModels = []; //精灵模型
- /**
- * 模型弹窗
- * { htmlUrl: "进入商场
", x: 55, y: 12, z: 3, show:"zh", type: "out" }
- */
- this.tipArr = []; //模型标签 periphery
- /**
- * 室内地图标签
- * Map_QM.util.labelIconArr([{floor:0,title:' 1) {
- this.forShopArr.push({build: Map_QM.util.startObj.build,floor: Map_QM.util.startObj.floor,PathPoint: [],});
- let pathData;
- for (let j = 0; j < PathPoint.length; j++) {
- let array = PathPoint[j].split("_");
- pathData = Map_QM.util.allMap[parseInt(array[0])].buildArr[parseInt(array[1])].mapData.path;
- pathData.nodes.sort(Map_QM.util.sortNumber);
- if (parseInt(array[1]) == this.forShopArr[index].floor) {
- //同层
- this.forShopArr[index].PathPoint.push(pathData.nodes[parseInt(array[2])]);
- } else {
- this.forShopArr.push({
- build: parseInt(array[0]),
- floor: parseInt(array[1]),
- PathPoint: [],
- });
- index++;
- this.forShopArr[index].PathPoint.push(pathData.nodes[parseInt(array[2])]);
- }
- }
- } else {
- this.forShopArr.length = 0;
- }
- if (this.forShopArr.length > 0) {
- //--------------------------计算方向
- direction.code = 200;
- if (countType == "12") {
- //16方向
- Map_QM.countSixteenArrow();
- } else {
- Map_QM.countStartAndEndDire();
- }
- }
- console.log(this.forShopArr);
- if (this.forShopArr.length > 1) {
- let facType;
- if (this.forShopArr[0].floor > this.forShopArr[1].floor) {
- //下
- if (
- Math.abs(
- parseInt(this.forShopArr[0].floor) -
- parseInt(this.forShopArr[1].floor)
- ) < 3
- ) {
- //扶梯
- facType = Map_QM.util.getFacType("downft");
- } else {
- facType = Map_QM.util.getFacType("dt");
- }
- } else {
- if (
- Math.abs(
- parseInt(this.forShopArr[0].floor) -
- parseInt(this.forShopArr[1].floor)
- ) < 3
- ) {
- //扶梯
- facType = Map_QM.util.getFacType("upft");
- } else {
- facType = Map_QM.util.getFacType("dt");
- }
- }
- facType = facType + "";
- if (facType.length === 1) {
- direction.dir = "600" + facType;
- } else if (facType.length === 2) {
- direction.dir = "60" + facType;
- } else if (facType.length === 3) {
- direction.dir = "6" + facType;
- }
- }
- return direction;
- },
- /**
- * 计算十六方向箭头
- */
- countSixteenArrow: function () {
- if (this.forShopArr[0].PathPoint.length > 1) {
- let keyPoints = [],
- ishas = false,
- allCount = 0;
- for (let i = 1; i < this.forShopArr[0].PathPoint.length; i++) {
- let s = Math.sqrt(Math.pow(this.forShopArr[0].PathPoint[i].x - this.forShopArr[0].PathPoint[i - 1].x,2) +
- Math.pow(this.forShopArr[0].PathPoint[i].y -this.forShopArr[0].PathPoint[i - 1].y,2));
- if (s < 20) {
- continue;
- }
- ishas = false;
- let dirObj = {
- angleName: Map_QM.getPathAngle(this.forShopArr[0].PathPoint[i - 1],this.forShopArr[0].PathPoint[i]),
- count: s,
- };
- allCount += s;
- if (keyPoints.length > 0 &&keyPoints[keyPoints.length - 1].angleName == dirObj.angleName) {
- keyPoints[keyPoints.length - 1].count += s;
- ishas = true;
- }
- if (!ishas) {
- keyPoints.push(dirObj);
- }
- }
- if (allCount < 150) {
- //总长度< 150 按8方向
- Map_QM.countStartAndEndDire();
- return;
- }
- if (keyPoints.length == 1) {
- direction.dir = Map_QM.getDirByName(keyPoints[0].angleName);
- return;
- }
- if (keyPoints.length == 0) {
- //没有路径，按方向计算
- direction.code = 404;
- return;
- }
- let upCount = 0,
- rightFrontCount = 0,
- rightCount = 0,
- leftFrontCount = 0;
- for (let item of keyPoints) {
- if (item.angleName == "up") {
- upCount += item.count;
- } else if (item.angleName == "down") {
- upCount -= item.count;
- } else if (item.angleName == "right") {
- rightCount += item.count;
- } else if (item.angleName == "left") {
- rightCount -= item.count;
- } else if (item.angleName == "rightFront") {
- rightFrontCount += item.count;
- } else if (item.angleName == "rightRear") {
- leftFrontCount -= item.count;
- } else if (item.angleName == "leftFront") {
- leftFrontCount += item.count;
- } else if (item.angleName == "leftRear") {
- rightFrontCount -= item.count;
- }
- }
- console.log(keyPoints);
- //斜方向忽略
- let dir1 = "";
- let bjCount = Math.max(150, allCount / 10);
- let onlyDir = "";
- for (let item of keyPoints) {
- if (
- item.angleName != "rightFront" &&
- item.angleName != "leftFront" &&
- item.angleName != "rightRear" &&
- item.angleName != "leftRear"
- ) {
- onlyDir =
- dir1.length > 0
- ? dir1.substring(dir1.length - 1, dir1.length)
- : dir1;
- if (
- item.angleName == "down" &&
- (item.count > bjCount || upCount < -1 * bjCount)
- ) {
- if (onlyDir != "D") {
- dir1 += "D";
- }
- } else if (
- item.angleName == "up" &&
- (item.count > bjCount || upCount > bjCount)
- ) {
- if (onlyDir != "T") {
- dir1 += "T";
- }
- } else if (
- item.angleName == "right" &&
- (item.count > bjCount || rightCount > bjCount)
- ) {
- if (onlyDir != "R") {
- dir1 += "R";
- }
- } else if (
- item.angleName == "left" &&
- (item.count > bjCount || rightCount < -1 * bjCount)
- ) {
- if (onlyDir != "L") {
- dir1 += "L";
- }
- }
- }
- }
- //console.log(dir1)
- if (dir1.length > 2) dir1 = dir1.substring(0, 2); //两个以上方向
- direction.dir = Map_QM.getDirByName(dir1);
- if (!direction.dir) Map_QM.countStartAndEndDire();
- } else {
- //没有路径，按方向计算
- direction.code = 404;
- }
- },
-
- getDirByName: function (dir) {
- switch (dir) {
- default:
- return "";
- case "T":
- return "1201";
- case "R":
- return "1202";
- case "D":
- return "1203";
- case "L":
- return "1204";
- case "TL":
- return "1205";
- case "TR":
- return "1206";
- case "RT":
- return "1207";
- case "RD":
- return "1208";
- case "DL":
- return "1209";
- case "DR":
- return "1210";
- case "LT":
- return "1211";
- case "LD":
- return "1212";
- case "up":
- return "1201";
- case "rightFront":
- return "8002";
- case "right":
- return "1202";
- case "rightRear":
- return "8004";
- case "down":
- return "1203";
- case "leftRear":
- return "8006";
- case "left":
- return "1204";
- case "leftFront":
- return "8008";
- }
- },
-
- /**
- * 计算八方向坐标
- */
- countStartAndEndDire: function () {
- let sPoint = new Map_QM.util.Point(
- this.forShopArr[0].PathPoint[0].x,
- this.forShopArr[0].PathPoint[0].y
- ); //本层起始点坐标
- let ePoint = new Map_QM.util.Point(
- this.forShopArr[0].PathPoint[this.forShopArr[0].PathPoint.length - 1].x,
- this.forShopArr[0].PathPoint[this.forShopArr[0].PathPoint.length - 1].y
- ); //本层结束点坐标
- switch (Map_QM.getPathAngle(sPoint, ePoint)) {
- default:
- direction.dir = "8001";
- case "up":
- direction.dir = "8001";
- break;
- case "rightFront":
- direction.dir = "8002";
- break;
- case "right":
- direction.dir = "8003";
- break;
- case "rightRear":
- direction.dir = "8004";
- break;
- case "down":
- direction.dir = "8005";
- break;
- case "leftRear":
- direction.dir = "8006";
- break;
- case "left":
- direction.dir = "8007";
- break;
- case "leftFront":
- direction.dir = "8008";
- break;
- }
- },
-
- getPathAngle: function (sPoint, ePoint) {
- let x = Math.abs(sPoint.x - ePoint.x);
- let y = Math.abs(sPoint.y - ePoint.y);
- let tan = x / y;
- let radina = Math.atan(tan); //用反三角函数求弧度
- let angle = Math.floor(180 / (Math.PI / radina)) || 0; //将弧度转换成角度
-
- if (ePoint.x > sPoint.x && ePoint.y > sPoint.y) {
- // 右下方
- angle = 180 - angle;
- }
- if (ePoint.x == sPoint.x && ePoint.y > sPoint.y) {
- // 正下方
- angle = 180;
- }
- if (ePoint.x < sPoint.x && ePoint.y > sPoint.y) {
- //左下方
- angle = angle - 180;
- }
- if (ePoint.x < sPoint.x && ePoint.y == sPoint.y) {
- //左方
- angle = -90;
- }
- if (ePoint.x < sPoint.x && ePoint.y < sPoint.y) {
- // 左上方
- angle = -1 * angle;
- }
- if (ePoint.x == sPoint.x && ePoint.y < sPoint.y) {
- //上方
- angle = 0;
- }
- if (ePoint.x > sPoint.x && ePoint.y < sPoint.y) {
- //右上方
- angle = angle;
- }
- if (ePoint.x > sPoint.x && ePoint.y == sPoint.y) {
- //point在x轴正方向上
- angle = 90;
- }
- angle -= Map_QM.util.deviceObj.angle;
- angle = angle > 180 ? angle - 360 : angle;
- angle = angle < -180 ? angle + 360 : angle;
-
- if (angle > -22 && angle <= 22) {
- //前
- return "up";
- } else if (angle > 22 && angle <= 67) {
- //右前
- return "rightFront";
- } else if (angle > 67 && angle <= 112) {
- //右
- return "right";
- } else if (angle > 112 && angle <= 158) {
- //右后
- return "rightRear";
- } else if (angle > 158 || angle <= -158) {
- //后
- return "down";
- } else if (angle > -158 && angle <= -112) {
- //左后
- return "leftRear";
- } else if (angle > -112 && angle <= -67) {
- //左
- return "left";
- } else {
- //左前
- return "leftFront";
- }
- },
- /**
- * @api {方法} pathIcon({type:"xsj"}) 获取最近设施
- * @apiGroup 地图导航
- * @apiDescription 获取离当前楼层最近的设施
- * @apiVersion 4.0.0
- * @apiParam {JSON} type 设施缩写
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {String} 请求示例
- *
- * Map_QM.pathIcon({type:"xsj"});
- *
- * @apiSuccessExample 返回示例
- * {
- * "floor": 楼层编号, "node": 设施导航点,"typeCode":设施编号
- * }
- *
- */
- pathIcon: function (iconType) {
- let selIcon; //
- let minS = -1;
- if (
- !Map_QM.util.startObj.build &&
- parseInt(Map_QM.util.startObj.build) != 0
- ) {
- Map_QM.util.startObj.build = parseInt(Map_QM.util.deviceObj.build);
- }
- try {
- let startNade = Map_QM.util.startObj.build +"_" +Map_QM.util.startObj.floor +"_" +Map_QM.util.startObj.node;
- const costAll = dijkstra.single_source_shortest_paths( Map_QM.util.pathStateObj.basePath,startNade,startNade).costs;
- if (costAll) {
- for (let i = 0;i < Map_QM.mapArr[parseInt(Map_QM.util.deviceObj.build)].length;i++) {
- let sers =Map_QM.mapArr[parseInt(Map_QM.util.deviceObj.build)][i].serObj.children; //服务图标
- for (let n = 0; n < sers.length; n++) {
- if (sers[n].userData.facCode == iconType.type ||((iconType.type == "xsjn" || iconType.type == "xsjv") && sers[n].userData.facCode == "xsj")) {
- let toNade =sers[n].userData.buildOrder +"_" +sers[n].userData.floorOrder +"_" +sers[n].userData.navCode;
- if (!selIcon) {
- minS = costAll[toNade];
- if (minS) {
- selIcon = sers[n];
- }
- } else {
- let s1 = costAll[toNade];
- if (s1 && s1 < minS) {
- minS = s1;
- selIcon = sers[n];
- }
- }
- }
- }
- }
-
- if (selIcon) {
- return {
- build: parseInt(Map_QM.util.deviceObj.build),
- floor: selIcon.userData.floorOrder,
- site: { x: selIcon.position.x, y: selIcon.position.y },
- node: selIcon.userData.navCode,
- no: selIcon.userData.no,
- typeCode: Map_QM.util.getFacType(iconType.type),
- };
- } else {
- // 当前楼栋没有
- for (let b = 0; b < Map_QM.mapArr.length; b++) {
- if (b != parseInt(Map_QM.util.deviceObj.build)) {
- for (let i = 0; i < Map_QM.mapArr[b].length; i++) {
- let sers = Map_QM.mapArr[b][i].serObj.children; //服务图标
- for (let n = 0; n < sers.length; n++) {
- if (sers[n].userData.facCode == iconType.type) {
- let toNade =b +"_" +sers[n].userData.floorOrder +"_" +sers[n].userData.navCode;
- if (!selIcon) {
- minS = costAll[toNade];
- if (minS) {
- selIcon = sers[n];
- selIcon.build = b;
- }
- } else {
- let s1 = costAll[toNade];
- if (s1 && s1 < minS) {
- minS = s1;
- selIcon = sers[n];
- selIcon.build = b;
- }
- }
- }
- }
- }
- }
- }
- if (selIcon) {
- return {
- build: selIcon.userData.buildOrder,
- floor: selIcon.userData.floorOrder,
- node: selIcon.userData.navCode,
- site: { x: selIcon.position.x, y: selIcon.position.y },
- no: selIcon.userData.no,
- typeCode: Map_QM.util.getFacType(iconType.type),
- };
- }
- }
- }
- } catch (e) {
- window.captureException && window.captureException(e);
- console.log(e);
- }
- },
- /**
- * @api {方法} pathByStartAndOver(startObj,toObj,callBackFun) 地图路径规划
- * @apiGroup 地图导航
- * @apiDescription 根据传入的起、终点；直接导航
- * @apiVersion 4.0.0
- * @apiParam {String} startObj.houseNumber 店铺编号/车位编号
- * @apiParam {String} startObj.type "shop"/"park"
- *
- * @apiParam {String} toObj.houseNumber 店铺编号/车位编号
- * @apiParam {String} toObj.type "shop"/"park"
- *
- * @apiParam {Function} callBackFun 回调函数
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {String} 请求示例
- *
- * Map_QM.pathByStartAndOver({"houseNumber":"L102","type":"shop"},{"houseNumber":"L204","type":"shop"});
- *
- */
- pathByStartAndOver: function (startObj, toObj, callBackFun) {
- try {
- Map_QM.util.startObj = this.shopNumToNavPoint(startObj, startObj.type);
- let overObj = this.shopNumToNavPoint(toObj, toObj.type);
- this.pathNode(overObj, callBackFun);
- } catch (e) {
- window.captureException && window.captureException(e);
- return "传入点位无法导航";
- }
- },
-
- /**
- * @api {方法} changeStartPoint() 设置起始点位
- * @apiGroup 地图导航
- * @apiDescription 设置起始点位
- * @apiVersion 4.0.0
- * @apiParam {int} build 起点楼栋编号
- * @apiParam {int} floor 起点楼层编号
- * @apiParam {String} node 起点编号
- * @apiParam {int} angle 起点角度
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {String} 请求示例
- *
- * Map_QM.changeStartPoint({"build":0, "floor":3, "node":"20", "angle":0});
- *
- */
- changeStartPoint: function (toObj) {
- this.clearFloor();
- if (this.mapArr) {
- for (let i = 0;i < this.mapArr[parseInt(this.util.startObj.build)].length;i++) {
- for (let len =this.mapArr[parseInt(this.util.startObj.build)][i].allObj.children.length - 1;len >= 0;len--) {
- let obj =this.mapArr[parseInt(this.util.startObj.build)][i].allObj.children[len];
- if (obj.userData.type == "start") {
- this.mapArr[parseInt(this.util.startObj.build)][i].allObj.remove(obj);
- }
- }
- }
- }
- this.util.startObj = {};
- if (toObj && toObj.node) {
- let pathData =this.util.allMap[parseInt(toObj.build)].buildArr[parseInt(toObj.floor)].mapData.path;
- this.util.startObj.xaxis = pathData.nodes[parseInt(toObj.node)].x;
- this.util.startObj.yaxis = pathData.nodes[parseInt(toObj.node)].y;
- this.util.startObj.build = parseInt(toObj.build);
- this.util.startObj.floor = parseInt(toObj.floor);
- this.util.startObj.node = toObj.node;
- this.util.startObj.angle = toObj.angle || 0;
- } else {
- this.util.startObj.xaxis = this.util.deviceObj.xaxis;
- this.util.startObj.yaxis = this.util.deviceObj.yaxis;
- this.util.startObj.build = parseInt(this.util.deviceObj.build);
- this.util.startObj.floor = parseInt(this.util.deviceObj.floor);
- this.util.startObj.node = this.util.deviceObj.node;
- this.util.startObj.angle = this.util.deviceObj.angle;
- this.util.startObj.xaxis = this.util.deviceObj.xaxis;
- this.util.startObj.yaxis = this.util.deviceObj.yaxis;
- }
- this.mapArr[parseInt(this.util.startObj.build)][parseInt(this.util.startObj.floor)].setStartSite(
- this.util.startObj.xaxis,
- this.util.startObj.yaxis,
- parseInt(this.util.shopHeight) + 20
- );
- },
-
- /**
- * @api {方法} changeMapIPState(ipName,color) 改变POI颜色
- * @apiGroup 地图交互
- * @apiDescription 改变POI 颜色
- * @apiVersion 4.0.0
- * @apiParam {string} ipName POI名称
- * @apiParam {string} color 颜色字符串
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.changeMapIPState("L1001","#ffff00");
- *
- */
- changeMapIPState: function (ipName, color) {
- // #775544 #AD8164
- for (let i = 0; i < this.mapArr[this.util.selectBuild].length; i++) {
- let shopArr = this.mapArr[this.util.selectBuild][i].shopObj.children;
- for (let k = 0; k < shopArr.length; k++) {
- if (shopArr[k].name == ipName ||(shopArr[k].userData && shopArr[k].userData.houseNumber == ipName)) {
- shopArr[k].userData.initMaterial = shopArr[k].material;
- shopArr[k].material = this.util.getMeshMaterial(color || 0xeab16e);
- break;
- }
- }
- }
- },
- /**
- * @api {方法} resetMapIPState(ipName) 恢复POI颜色
- * @apiGroup 地图交互
- * @apiDescription 恢复POI初始颜色
- * @apiVersion 4.0.0
- * @apiParam {string} ipName POI名称
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.resetMapIPState("L101");
- *
- */
- resetMapIPState: function (ipName) {
- for (let i = 0; i < this.mapArr[this.util.selectBuild].length; i++) {
- let shopArr = this.mapArr[this.util.selectBuild][i].shopObj.children;
- for (let k = 0; k < shopArr.length; k++) {
- if (shopArr[k].name == ipName) {
- shopArr[k].material = shopArr[k].userData.initMaterial;
- break;
- }
- }
- }
- },
-
- /**
- * @api {方法} getMapIPData(ipName) 获取POI 基础数据
- * @apiGroup 地图交互
- * @apiDescription 获取POI 基础数据
- * @apiVersion 4.0.0
- * @apiParam {string} ipName POI名称
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.getMapIPData("L1001");
- *
- * @apiSuccessExample 返回示例
- * {
- * houseNumber:店铺编号, shopName:店铺名 node:导航点, floor:楼层编号, xaxis:中心点X坐标, yaxis:中心点Y坐标, borderColor:边框色, entColor:填充色
- * }
- */
- getMapIPData: function (ipName) {
- for (let i = 0; i < Map_QM.mapArr[Map_QM.util.selectBuild].length; i++) {
- let shopArr = Map_QM.mapArr[Map_QM.util.selectBuild][i].shopObj.children;
- for (let k = 0; k < shopArr.length; k++) {
- if (shopArr[k].name == ipName ||(shopArr[k].userData && shopArr[k].userData.houseNumber == ipName)) {
- return shopArr[k].userData;
- }
- }
- }
- },
-
- /**
- * @api {方法} pathNode() 地图模拟导航
- * @apiGroup 地图导航
- * @apiDescription 地图路径模拟导航
- * @apiVersion 4.0.0
- * @apiParam {int} floor 楼层编号
- * @apiParam {string} node 路径点位编号
- * @apiParam {function} callBackFun 回调方法
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.pathNode({build:0, floor:2,node:"53"},callBackFun);
- *
- */
- pathNode: function (toObj, callBackFun) {
- Map_QM.util.isMorePath = false;
- if (!toObj) {
- return { direction: "", wayList: [] };
- }
- pathCameraState = Map_QM.util.options.pathStyle;
- Map_QM.reSetGuide();
- Map_QM.onShowDeviceSite();
- Map_QM.selectShop = null;
- Map_QM.util.pathStateObj.isPathState = true;
- Map_QM.elementDestroy("all");
- if (
- Map_QM.util.initModelArr &&
- Map_QM.util.initModelArr.length > 0 &&
- Map_QM.util.changeDist.inner > Map_QM.util.options.minDis
- ) {
- Map_QM.controls.maxDistance = Map_QM.util.changeDist.inner;
- }
- if (!Map_QM.util.startObj.xaxis && !Map_QM.util.startObj.yaxis) {
- Map_QM.changeStartPoint(null);
- }
- Map_QM.util.overObj = null;
- Map_QM.util.overObj = {
- build: toObj.build || 0,
- floor: toObj.floor,
- node: toObj.node,
- houseNumber: toObj.houseNumber,
- comeIn: toObj.comeIn || "",
- };
- if (Map_QM.util.overObj.node != "") {
- Map_QM.cancelRender();
- this.onFindPathModel();
- if (callBackFun) {
- Map_QM.parseForShopArr();
- const data = JSON.parse(
- JSON.stringify(Map_QM.util.pathStateObj.forShopArr)
- );
- callBackFun(data);
- }
- Map_QM.startRender();
- }
- },
-
- /**
- * @api {方法} pathShopList() 指定路径导航
- * @apiGroup 地图导航
- * @apiDescription 根据传入的店铺编号列表绘制导航路径
- * @apiVersion 4.0.0
- * @apiParam {Array} shopList 路径的店铺编号数组
- * @apiParam {Function} callBackFun 回调函数
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.pathShopList(["L1-1","L1-5","L1-8","L1-10","LA-13"],()=>{});
- *
- */
- pathShopList: function (shopList, callBackFun) {
- if (!shopList || shopList.length < 2) {
- return { direction: "", wayList: [] };
- }
- let pathList = shopList.map(Map_QM.getPathNodeByHousenumber);
- Map_QM.pathList(pathList, callBackFun);
- },
- /**
- * 获取导航点
- */
- getPathNodeByHousenumber: function (houseNumber) {
- for (let h = 0; h < Map_QM.mapArr.length; h++) {
- for (let i = 0; i < Map_QM.mapArr[h].length; i++) {
- let shopArr = Map_QM.mapArr[h][i].shopObj.children;
- for (let k = 0; k < shopArr.length; k++) {
- if (
- shopArr[k].name == houseNumber &&
- parseInt(shopArr[k].node) >= 0
- ) {
- return {
- build: h,
- floor: i,
- path: h + "_" + i + "_" + shopArr[k].node,
- node: shopArr[k].node,
- };
- }
- }
- }
- }
- },
- getPathNodeByNode: function (nodeObj) {
- let build = nodeObj.buildOrder || 0;
- let floor = nodeObj.floorOrder || 0;
- let node = parseInt(nodeObj.node);
- if (isNaN(node)) {
- return null;
- } else {
- return {
- build: build,
- floor: floor,
- path: build + "_" + floor + "_" + node,
- node: node,
- };
- }
- },
- /**
- * @api {方法} pathShopList() 指定路径导航
- * @apiGroup 地图导航
- * @apiDescription 根据传入的店铺编号列表绘制导航路径
- * @apiVersion 4.0.0
- * @apiParam {Array} shopList 路径的店铺编号数组
- * @apiParam {Function} callBackFun 回调函数
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- * [{buildOrder:0,floorOrder:0,node:8},{buildOrder:0,floorOrder:0,node:13},{buildOrder:0,floorOrder:0,node:16},{buildOrder:0,floorOrder:0,node:20}],()=>{}
- */
- pathNodeList: function (nodeList, callBackFun, isShowNo = true) {
- Map_QM.elementDestroy("map_no", true);
- if (!nodeList || nodeList.length < 2) {
- return { direction: "", wayList: [] };
- }
- Map_QM.selectShop = null;
- Map_QM.util.pathStateObj.isPathState = true;
- let pathList = nodeList.map(Map_QM.getPathNodeByNode);
- Map_QM.pathList(pathList, callBackFun, isShowNo);
- },
- pathList: function (pathList, callBackFun, isShowNo = false) {
- Map_QM.util.isMorePath = true;
- Map_QM.clearFloor(Map_QM.util.selectFloor || -1);
- pathCameraState = Map_QM.util.options.pathStyle;
- Map_QM.selectShop = null;
- Map_QM.util.pathStateObj.isPathState = true;
- Map_QM.cancelRender();
- let startNode,
- endNode,
- isFrist = true,
- PathPoint = [];
- try {
- let index = 0,
- findIndex = 0,
- pathNodes = [];
- pathList.forEach((item, inx) => {
- if (isShowNo) {
- //显示序号
- let pathN =Map_QM.util.allMap[parseInt(item.build)].buildArr[parseInt(item.floor)].mapData.path.nodes;
- pathN.sort(Map_QM.util.sortNode);
- let labelDiv = document.createElement("div");
- labelDiv.className = "map_no";
- labelDiv.innerText = inx + 1;
- let img = document.createElement("img");
- img.src = "../static/img/arrowBlack.svg";
- labelDiv.appendChild(img);
- let shopLabel = new THREE.CSS2DObject(labelDiv);
- shopLabel.position.set(pathN[parseInt(item.node)].x,-1 * pathN[parseInt(item.node)].y,30);
- shopLabel.applyMatrix4(Map_QM.mapArr[parseInt(item.build)][parseInt(item.floor)].allObj.matrix);
- shopLabel.userData.type = "map_no";
- shopLabel.userData.index = inx;
- shopLabel.userData.mapShow = true;
- shopLabel.userData.isShow = false; //切换楼层默认不显示，且不参与碰撞检测
- Map_QM.CSSObject.add(shopLabel);
- }
-
- if (startNode && startNode.path) {
- endNode = item;
- if (endNode && endNode.path) {
- let iNodes =
- Map_QM.util.allMap[parseInt(endNode.build)].buildArr[parseInt(endNode.floor)].mapData.path.nodes;
- iNodes.sort(Map_QM.util.sortNode);
- Map_QM.util.overObj.build = endNode.build;
- Map_QM.util.overObj.floor = endNode.floor;
- Map_QM.util.overObj.node = endNode.node;
- Map_QM.util.overObj.xaxis = iNodes[parseInt(endNode.node)].x;
- Map_QM.util.overObj.yaxis = iNodes[parseInt(endNode.node)].y;
- Map_QM.util.overObj.angle = 0;
- let pathNode = dijkstra.find_path(Map_QM.util.pathStateObj.graphPath,startNode.path,endNode.path).nodes;
- if (pathNode.length > 1) {
- let pathData;
- for (let j = 0; j < pathNode.length; j++) {
- let array = pathNode[j].split("_");
- if (j == 0 && isFrist) {
- pathNodes.push({build: parseInt(array[0]),floor: parseInt(array[1]),pathNode: []});
- }
- pathData = Map_QM.util.allMap[parseInt(array[0])].buildArr[parseInt(array[1])].mapData.path;
- pathData.nodes.sort(Map_QM.util.sortNode);
- if (array[0] == pathNodes[index].build) {
- if (array[1] == pathNodes[index].floor) {
- if (!pathNodes[index].pathNode[findIndex]) {
- pathNodes[index].pathNode[findIndex] = [];
- }
- pathNodes[index].pathNode[findIndex].push(pathData.nodes[parseInt(array[2])]);
- } else {
- if (j > 0) {
- pathNodes[index].Facilities = this.getFacilIcon(pathNode[j - 1].split("_"),parseInt(array[0]));
- } else {
- pathNodes[index].Facilities = null;
- }
- pathNodes.push({build: parseInt(array[0]),floor: parseInt(array[1]),pathNode: [],});
- index++;
- findIndex = 0;
- if (!pathNodes[index].pathNode[findIndex]) {
- pathNodes[index].pathNode[findIndex] = [];
- }
- pathNodes[index].pathNode[findIndex].push(pathData.nodes[parseInt(array[2])]);
- }
- } else {
- pathNodes.push({ build: parseInt(array[0]),floor: parseInt(array[1]),pathNode: []});
- index++;
- findIndex = 0;
- if (!pathNodes[index].pathNode[findIndex]) {
- pathNodes[index].pathNode[findIndex] = [];
- }
- pathNodes[index].pathNode[findIndex].push(
- pathData.nodes[parseInt(array[2])]
- );
- }
- }
- }
- if (isFrist) {
- isFrist = false;
- } else {
- pathNode.shift();
- }
- PathPoint.push(...pathNode);
- startNode = endNode;
- findIndex++;
- }
- } else {
- startNode = item;
- Map_QM.changeStartPoint({
- build: startNode.build,
- floor: startNode.floor,
- node: startNode.node,
- angle: 0,
- });
- }
- });
- } catch (e) {
- window.captureException && window.captureException(e);
- console.log(e);
- return;
- }
- Map_QM.forShopArr.length = 0;
- Map_QM.util._indexPathFloor = 0;
- Map_QM.util.pathStateObj.isPathPlay = true;
- Map_QM.forShopListPath(PathPoint); //传入所有导航点
- if (callBackFun) {
- Map_QM.parseForShopArr();
- const data = JSON.parse(
- JSON.stringify(Map_QM.util.pathStateObj.forShopArr)
- );
- callBackFun(data);
- }
- Map_QM.startRender();
- pathNodeList = null;
- },
-
- forShopListPath: function (PathPoint) {
- let index = 0;
- this.forShopArr = [];
- if (PathPoint.length > 1) {
- let pathData;
- for (let j = 0; j < PathPoint.length; j++) {
- let array = PathPoint[j].split("_");
- if (j == 0) {
- this.forShopArr.push({
- build: parseInt(array[0]),
- floor: parseInt(array[1]),
- PathPoint: [],
- });
- }
- pathData = Map_QM.util.allMap[parseInt(array[0])].buildArr[parseInt(array[1])].mapData.path;
- pathData.nodes.sort(Map_QM.util.sortNode);
- if (array[0] == this.forShopArr[index].build) {
- if (array[1] == this.forShopArr[index].floor) {
- this.forShopArr[index].PathPoint.push(pathData.nodes[parseInt(array[2])]);
- } else {
- if (j > 0) {
- this.forShopArr[index].Facilities = this.getFacilIcon(PathPoint[j - 1].split("_"),parseInt(array[0]));
- } else {
- this.forShopArr[index].Facilities = null;
- }
- this.forShopArr.push({build: parseInt(array[0]),floor: parseInt(array[1]),PathPoint: []});
- index++;
- this.forShopArr[index].PathPoint.push(pathData.nodes[parseInt(array[2])]);
- }
- } else {
- this.forShopArr.push({ build: parseInt(array[0]), floor: parseInt(array[1]), PathPoint: []});
- index++;
- this.forShopArr[index].PathPoint.push(pathData.nodes[parseInt(array[2])]);
- }
- }
- if (Map_QM.forShopArr.length > 0) {
- // "floor" PathPoint Direction (Facilities)
- for (let m = 0; m < Map_QM.forShopArr.length; m++) {
- //查找经过店铺
- Map_QM.forShopArr[m].wayShop = Map_QM.foreignShop(
- Map_QM.forShopArr[m].PathPoint,
- Map_QM.forShopArr[m].build,
- Map_QM.forShopArr[m].floor,
- m
- );
- if (Map_QM.util.overObj.build == Map_QM.forShopArr[m].build &&Map_QM.util.overObj.floor == Map_QM.forShopArr[m].floor) {
- let len = Map_QM.forShopArr[m].wayShop.length;
- if (Map_QM.forShopArr[m].wayShop[len - 1] && Map_QM.forShopArr[m].wayShop[len - 1].shop.yaxis == Map_QM.util.overObj.node) {
- Map_QM.forShopArr[m].wayShop.pop();
- }
- }
- }
- } else {
- console.error("无可行路径");
- return;
- }
- this.onFindPathToObj();
- }
- pathNodeList = null;
- },
-
- parseForShopArr: function () {
- Map_QM.util.pathStateObj.forShopArr = { direction: "", wayList: [] };
- Map_QM.forShopArr.forEach((item, index) => {
- if (item.hasOwnProperty("Direction")) {
- Map_QM.util.pathStateObj.forShopArr.direction = item.Direction;
- Map_QM.util.pathStateObj.forShopArr.directionEn = item.DirectionEn;
- }
- if (item.hasOwnProperty("wayShop") && item.wayShop) {
- for (let i = 0; i < item.wayShop.length; i++) {
- let enTlite = item.wayShop[i].shop.shopNameEn == "" ? item.wayShop[i].shop.shopName : item.wayShop[i].shop.shopNameEn;
- Map_QM.util.pathStateObj.forShopArr.wayList.push({
- isAddPrefix: false,
- shopName: "经过 " + item.wayShop[i].shop.shopName || item.wayShop[i].shop.name,
- shopNameEn: "PASS " + enTlite,
- logoPath: item.wayShop[i].shop.logoPath || item.wayShop[i].shop.logoUrl,
- shopCode: item.wayShop[i].shop.shopCode,
- houseNumber: item.wayShop[i].shop.houseNumber,
- });
- }
- }
- if (item.hasOwnProperty("Facilities") && item.Facilities) {
- //设施
- Map_QM.util.pathStateObj.forShopArr.wayList.push({
- isAddPrefix: true,
- shopName: "乘坐 " + item.Facilities.userData.title +"到 " + Map_QM.mapArr[parseInt(Map_QM.forShopArr[index + 1].build)][parseInt(Map_QM.forShopArr[index + 1].floor)].floorName,
- shopNameEn:"BY " +item.Facilities.userData.title +"TO " + Map_QM.mapArr[parseInt(Map_QM.forShopArr[index + 1].build)][parseInt(Map_QM.forShopArr[index + 1].floor)].floorName,
- logoPath: item.Facilities.imgUrl,
- shopCode: ((Math.random() * 0x1234567) | 0).toString(16).substring(0),
- houseNumber:item.Facilities.userData.facCode + item.Facilities.userData.no,
- });
- }
- });
- },
- /**
- * @api {方法} getGapByPathNode() 获取实际距离
- * @apiGroup 地图导航
- * @apiDescription 通过点位获取距离
- * @apiVersion 4.0.0
- * @apiParam {int} floor 楼层编号
- * @apiParam {string} node 路径点位编号
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.getGapByPathNode({floor:2,node:"53"});
- *
- * @apiSuccessExample {Object} dist 距离米数 time 步行时间
- * {
- * dis:200,time:4
- * }
- */
- getGapByPathNode: function (toObj) {
- let startNade = Map_QM.util.deviceObj.build +"_" + Map_QM.util.deviceObj.floor + "_" + Map_QM.util.deviceObj.node;
- let toNade = toObj.build + "_" + toObj.floor + "_" + toObj.node;
- let path = { cost: -1 },
- minTime = 1;
- try {
- path = dijkstra.find_path( Map_QM.util.pathStateObj.basePath,startNade,toNade);
- minTime = parseInt(path.cost / Map_QM.util.options.mapScale / 50) < 0.5? 0.5 : parseInt(path.cost / Map_QM.util.options.mapScale / 50);
- console.log(`距离目的地 ${parseInt(path.cost / Map_QM.util.options.mapScale)} 米，预计${minTime} 分钟`); // 21 是比例尺
- } catch (e) {
- window.captureException && window.captureException(e);
- console.log(e);
- }
- return {
- dis: parseInt(path.cost / Map_QM.util.options.mapScale),
- time: minTime,
- };
- },
- /**
- * @api {方法} pathPark() 获取车位点位
- * @apiGroup 地图数据
- * @apiDescription 获取车位导航点
- * @apiVersion 4.0.0
- * @apiParam {String} houseNumber 车位编号
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.pathPark({houseNumber:"B1002"});
- *
- * @apiSuccessExample 返回示例
- * {
- * houseNumber: 车位编号, node: 导航点, floor: 楼层编号, xaxis: 中心点X坐标, yaxis: 中心点Y坐标
- * }
- */
- pathPark: function (toObj) {
- return this.shopNumToNavPoint(toObj, "park");
- },
-
- /**
- * @api {方法} pathShopByName() 获取店铺点位
- * @apiGroup 地图数据
- * @apiDescription 通过店铺名称获取点位
- * @apiVersion 4.0.0
- * @apiParam {String} shopName 店铺名称
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.pathShopByName("金拱门");
- *
- * @apiSuccessExample 返回示例
- * {
- * houseNumber: 店铺编号, node: 导航点, floor: 楼层编号, xaxis: 中心点X坐标, yaxis: 中心点Y坐标, comeIn:店铺多门点
- * }
- */
- pathShopByName: function (shopName) {
- for (let item of Map_QM.util.shopData) {
- if (item.name === shopName) {
- let toObj = { houseNumber: item.houseNumber, node: item.yaxis };
- for (let h = 0; h < Map_QM.util.allMap.length; h++) {
- let sArr = Map_QM.util.allMap[h].buildArr;
- for (let i = 0; i < sArr.length; i++) {
- let shops = Map_QM.util.allMap[h].buildArr[i].mapData.shopArea;
- for (let k = 0; k < shops.length; k++) {
- if (shops[k].name == toObj.houseNumber) {
- toObj.floor = i;
- toObj.build = h;
- toObj.node = shops[k].shopNav;
- toObj.xaxis = shops[k].xaxis;
- toObj.yaxis = shops[k].yaxis;
- if (shops[k].comeIn) {
- toObj.comeIn = shops[k].comeIn;
- }
- return toObj;
- }
- }
- }
- }
- return toObj;
- }
- }
- },
- /**
- * @api {方法} changeBoxStateByFormat() 切换box显示状态
- * @apiGroup 地图交互
- * @apiDescription 根据业态切换box显示状态
- * @apiVersion 4.0.0
- * @apiParam {String} formatCode 业态Id
- * @apiParam {Boolean} isShow 是否显示
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {Object} 请求示例
- *
- * Map_QM.changeBoxStateByFormat("X8f1sfGl0gfa_QwVcMy86",false);
- *
- */
- changeBoxStateByFormat: function (formatCode, isShow) {
- for (let h = 0; h < Map_QM.mapArr.length; h++) {
- for (let i = 0; i < Map_QM.mapArr[h].length; i++) {
- let shopArr = Map_QM.mapArr[h][i].shopObj.children;
- for (let k = 0; k < shopArr.length; k++) {
- if (
- shopArr[k].userData &&
- shopArr[k].userData.formatCode == formatCode
- ) {
- shopArr[k].visible = isShow;
- }
- }
- }
- }
- Map_QM.updateRender();
- Map_QM.collLabel();
- },
- /**
- * @api {方法} changeBoxStateByName() 切换box显示状态
- * @apiGroup 地图交互
- * @apiDescription 根据名称切换box显示状态
- * @apiVersion 4.0.0
- * @apiParam {String} houseNumber box名称
- * @apiParam {Boolean} isShow 是否显示
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {Object} 请求示例
- *
- * Map_QM.changeBoxStateByName("L101", true);
- *
- */
- changeBoxStateByName: function (houseNumber, isShow) {
- for (let h = 0; h < Map_QM.mapArr.length; h++) {
- for (let i = 0; i < Map_QM.mapArr[h].length; i++) {
- let shopArr = Map_QM.mapArr[h][i].shopObj.children;
- for (let k = 0; k < shopArr.length; k++) {
- if (shopArr[k].name == houseNumber) {
- shopArr[k].visible = isShow;
- }
- }
- }
- }
- Map_QM.updateRender();
- Map_QM.collLabel();
- },
- /**
- * @api {方法} shopNumToNavPoint() 获取导航点位
- * @apiGroup 地图导航
- * @apiDescription 通过店铺编号或车位获取导航点位
- * @apiVersion 4.0.0
- * @apiParam {Object} object build,floor,houseNumber 楼栋编号,楼层编号,店铺或车位编号
- * @apiParam {String} type 店铺或车位标识 "shop" "park"
- *
- * @apiSampleRequest off
- *
- * @apiSuccessExample 返回示例
- * {
- * houseNumber: 店铺编号, node: 导航点, floor: 楼层编号, xaxis: 中心点X坐标, yaxis: 中心点Y坐标, comeIn:店铺多门点
- * }
- */
- shopNumToNavPoint: function (obj, type) {
- let shopArr;
- let reObj = {
- build: Map_QM.util.selectBuild,
- node: "",
- xaxis: "",
- yaxis: "",
- floor: "",
- comeIn: "",
- };
- for (let h = 0; h < Map_QM.util.allMap.length; h++) {
- let sArr = Map_QM.util.allMap[h].buildArr;
- for (let i = 0; i < sArr.length; i++) {
- if (type == "shop") {
- shopArr = sArr[i].mapData.shopArea;
- } else if (type == "park") {
- shopArr = sArr[i].mapData.parkArea;
- }
- for (let k = 0; k < shopArr.length; k++) {
- if (shopArr[k].name == obj.houseNumber) {
- reObj.floor = i;
- reObj.build = h;
- reObj.xaxis = shopArr[k].xaxis;
- reObj.yaxis = shopArr[k].yaxis;
- reObj.node = shopArr[k].shopNav;
- reObj.houseNumber = obj.houseNumber;
- if (shopArr[k].comeIn) {
- reObj.comeIn = shopArr[k].comeIn;
- }
- return reObj;
- }
- }
- }
- }
- },
- /**
- * 模拟导航获取路线
- */
- onFindPathModel: function (usePath = null) {
- Map_QM.forShopArr.length = 0;
- Map_QM.util._indexPathFloor = 0;
- Map_QM.util.pathStateObj.isPathPlay = true;
- if (isNaN(parseInt(Map_QM.util.startObj.node)) ||parseInt(Map_QM.util.startObj.node) == -1) {
- return;
- }
- try {
- if (!Map_QM.util.startObj.xaxis) {
- let pathData = Map_QM.util.allMap[parseInt(Map_QM.util.startObj.build)].buildArr[parseInt(Map_QM.util.startObj.floor)].mapData.path;
- Map_QM.util.startObj.xaxis = pathData.nodes[parseInt(Map_QM.util.startObj.node)].x;
- Map_QM.util.startObj.yaxis = pathData.nodes[parseInt(Map_QM.util.startObj.node)].y;
- }
- if (!usePath) {
- usePath = Map_QM.util.pathStateObj.graphPath;
- }
- if (Map_QM.util.overObj.comeIn) {
- const costall = dijkstra.single_source_shortest_paths( Map_QM.util.pathStateObj.graphPath, startNade,startNade).costs;
- if (costall) {
- let inArray = Map_QM.util.overObj.comeIn.split(",");
- Map_QM.util.overObj.node = Map_QM.getMinCostByArray( Map_QM.util.overObj.floor,inArray, costall);
- }
- }
- let startNade =
- Map_QM.util.startObj.build + "_" + Map_QM.util.startObj.floor + "_" + Map_QM.util.startObj.node;
- let toNade = Map_QM.util.overObj.build + "_" + Map_QM.util.overObj.floor + "_" + Map_QM.util.overObj.node;
- let path = dijkstra.find_path(usePath, startNade, toNade);
- Map_QM.forShopPath(path.nodes);
- } catch (e) {
- window.captureException && window.captureException(e);
- console.log(e);
- return;
- }
- },
- forShopPath: function (PathPoint) {
- let Dir = "向前出发",
- index = 0;
- let DirEn = "to forward";
- this.forShopArr = [];
- if (PathPoint.length > 1) {
- this.forShopArr.push({
- build: Map_QM.util.startObj.build,
- floor: Map_QM.util.startObj.floor,
- PathPoint: [],
- });
- let pathData;
- for (let j = 0; j < PathPoint.length; j++) {
- let array = PathPoint[j].split("_");
- pathData = Map_QM.util.allMap[parseInt(array[0])].buildArr[parseInt(array[1])].mapData.path;
- if (array[0] == this.forShopArr[index].build) {
- if (array[1] == this.forShopArr[index].floor) {
- this.forShopArr[index].PathPoint.push(pathData.nodes[parseInt(array[2])]);
- } else {
- if (j > 0) {
- this.forShopArr[index].Facilities = this.getFacilIcon( PathPoint[j - 1].split("_"),parseInt(array[0]));
- } else {
- this.forShopArr[index].Facilities = null;
- }
- this.forShopArr.push({
- build: parseInt(array[0]),
- floor: parseInt(array[1]),
- PathPoint: []
- });
- index++;
- this.forShopArr[index].PathPoint.push(pathData.nodes[parseInt(array[2])]);
- }
- } else {
- this.forShopArr.push({
- build: parseInt(array[0]),
- floor: parseInt(array[1]),
- PathPoint: []
- });
- index++;
- this.forShopArr[index].PathPoint.push(pathData.nodes[parseInt(array[2])]);
- }
- }
- let dy = 0,
- dx = 0,
- ang = 0;
- if (this.forShopArr[0].PathPoint.length > 1) {
- if (this.forShopArr[0].PathPoint.length == 2) {
- dy = this.forShopArr[0].PathPoint[1].y - this.forShopArr[0].PathPoint[0].y;
- dx = this.forShopArr[0].PathPoint[1].x - this.forShopArr[0].PathPoint[0].x;
- } else {
- dy = this.forShopArr[0].PathPoint[2].y - this.forShopArr[0].PathPoint[1].y;
- dx = this.forShopArr[0].PathPoint[2].x -this.forShopArr[0].PathPoint[1].x;
- }
- ang = (Math.atan2(dy, dx) * 180) / Math.PI - Map_QM.util.deviceObj.angle;
- ang = ang > 180 ? ang - 360 : ang;
- ang = ang < -180 ? ang + 360 : ang;
-
- if (ang < -50 && ang >= -130) {
- Dir = "向前出发";
- DirEn = "to forward";
- } else if (ang >= -50 && ang < 50) {
- Dir = "向右出发";
- DirEn = "to right";
- } else if (ang >= 50 && ang < 130) {
- Dir = "向后出发";
- DirEn = "to back";
- } else {
- Dir = "向左出发";
- DirEn = "to left";
- }
- }
- let pLen = Map_QM.forShopArr[Map_QM.forShopArr.length - 1].PathPoint.length;
- Map_QM.util.overObj.xaxis = Map_QM.forShopArr[Map_QM.forShopArr.length - 1].PathPoint[pLen - 1].x;
- Map_QM.util.overObj.yaxis = Map_QM.forShopArr[Map_QM.forShopArr.length - 1].PathPoint[pLen - 1].y;
-
- if (Map_QM.forShopArr.length > 0) {
- // "floor" PathPoint Direction (Facilities)
- Map_QM.forShopArr[0].Direction = Dir;
- Map_QM.forShopArr[0].DirectionEn = DirEn;
-
- for (let m = 0; m < Map_QM.forShopArr.length; m++) {
- //查找经过店铺
- Map_QM.forShopArr[m].wayShop = Map_QM.foreignShop(
- Map_QM.forShopArr[m].PathPoint,
- Map_QM.forShopArr[m].build,
- Map_QM.forShopArr[m].floor,
- m
- );
- if (Map_QM.util.overObj.build == Map_QM.forShopArr[m].build && Map_QM.util.overObj.floor == Map_QM.forShopArr[m].floor ) {
- let len = Map_QM.forShopArr[m].wayShop.length;
- if (Map_QM.forShopArr[m].wayShop[len - 1] &&Map_QM.forShopArr[m].wayShop[len - 1].shop.yaxis == Map_QM.util.overObj.node) {
- Map_QM.forShopArr[m].wayShop.pop();
- }
- }
- }
- /**
- * @api {事件} InitPathOver 地图导航状态完成
- * @apiGroup 地图事件
- * @apiDescription 地图开始导航时触发
- * @apiVersion 4.0.0
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- * Map_QM.addEventListener("InitPathOver",onInitPathOver,false);
- */
- Map_QM.dispatchEvent({
- type: "InitPathOver",
- data: Map_QM.forShopArr,
- });
- } else {
- console.error("无可行路径，请检查起、终点位");
- return;
- }
- this.onFindPathToObj();
- }
- },
- getMinCostByArray: function (floor, array, costall) {
- if (!Map_QM.util.startObj) {
- Map_QM.changeStartPoint();
- }
- if (!Map_QM.util.numBuild) {
- Map_QM.util.numBuild = 0;
- }
- let mis = -1,
- nodeP;
- for (let i = 0; i < array.length; i++) {
- let toNade = Map_QM.util.numBuild + "_" + floor + "_" + array[i];
- let PathPoint = costall[toNade];
- if (mis == -1) {
- mis = PathPoint;
- nodeP = array[i];
- } else {
- if (mis > PathPoint) {
- mis = PathPoint;
- nodeP = array[i];
- }
- }
- }
- return nodeP;
- },
- /**
- * 途径店铺
- */
- foreignShop: function (pathArr, build, cFloor, m) {
- let shopList = [];
- let shops =
- Map_QM.mapArr[parseInt(build)][parseInt(cFloor)].shopObj.children;
- for (let n = 0; n < pathArr.length; n++) {
- for (let i = 0; i < shops.length; i++) {
- if (shops[i].userData && shops[i].userData.type == "shop" && shops[i].userData.navRecommend) {
- if (shops[i].userData.node == pathArr[n].id &&shops[i].userData.shopData) {
- let data = {
- pathArrIn: m,
- pathIndex: n,
- shop: shops[i].userData.shopData
- };
- shopList.push(data);
- break;
- }
- }
- }
- }
- return shopList;
- },
- getFacilIcon: function (fromFArr, build = -1) {
- if (build === -1) {
- build = Map_QM.util.selectBuild;
- }
- let childs = this.mapArr[build][fromFArr[1]].serObj.children;
- let selectEle;
- for (let i = 0; i < childs.length; i++) {
- if (childs[i].type == "Object3D" &&childs[i].userData.navCode == fromFArr[2] &&"dt,ft,upft,lt,downft".search(childs[i].userData.facCode) != -1 ) {
- selectEle = {
- imgUrl: childs[i].userData.src,
- userData: childs[i].userData,
- position: { x: childs[i].position.x, y: childs[i].position.y }
- };
- break;
- }
- }
- return selectEle;
- },
-
- /**
- * 寻路动画方法
- */
- onFindPathToObj: function () {
- Map_QM.util._indexPathFloor = 0;
- Map_QM.callBackLoadOver = Map_QM.callBackForPathShop; //楼层初始化完成后回调
- if (pathCameraState == "2D") {
- Map_QM.onShowMeDir();
- Map_QM.controls.enabled = false;
- Map_QM.guide = Map_QM.man_2d;
- }
- Map_QM.changeBuildInner( Map_QM.forShopArr[Map_QM.util._indexPathFloor].build,Map_QM.forShopArr[Map_QM.util._indexPathFloor].floor);
- },
- /**
- * 播放楼层动画完成后
- */
- callBackForPathShop: function () {
- Map_QM.callBackLoadOver = null;
- if (Map_QM.util.pathStateObj.isPathState) {
- //如果是寻路状态，继续导航
- Map_QM.onFindPath();
- }
- },
- /**
- * 寻路方法
- * @param {Object} startN
- * @param {Object} endN
- */
- onFindPath: function () {
- TweenMax.killAll(true);
- if (Map_QM.util.overObj.floor == Map_QM.util.selectFloor && Map_QM.util.overObj.xaxis) {
- Map_QM.mapArr[Map_QM.util.overObj.build][Map_QM.util.overObj.floor].setOverSite(Map_QM.util.overObj.xaxis, Map_QM.util.overObj.yaxis,parseInt(Map_QM.util.shopHeight));
- } else {
- Map_QM.endModel && (Map_QM.endModel.visible = false);
- Map_QM.endIcon && (Map_QM.endIcon.visible = false);
- }
- if (Map_QM.forShopArr.length > 0) {
- document.addEventListener("pathOver", Map_QM.onFindPathFloor, true);
- if (Map_QM.util.isMorePath) {
- Map_QM.mapArr[Map_QM.forShopArr[Map_QM.util._indexPathFloor].build][Map_QM.forShopArr[Map_QM.util._indexPathFloor].floor].findPath.onFindPathAnimation(pathNodes[Map_QM.util._indexPathFloor].pathNode, Map_QM.util.isMorePath,pathNodes[Map_QM.util._indexPathFloor].floor); //传入数组
- } else {
- Map_QM.mapArr[Map_QM.forShopArr[Map_QM.util._indexPathFloor].build][Map_QM.forShopArr[Map_QM.util._indexPathFloor].floor].findPath.clearPath();
- Map_QM.mapArr[Map_QM.forShopArr[Map_QM.util._indexPathFloor].build][Map_QM.forShopArr[Map_QM.util._indexPathFloor].floor].findPath.onFindPathAnimation(Map_QM.forShopArr[Map_QM.util._indexPathFloor].PathPoint,false ); //传入数组
- }
- Map_QM.mapArr[Map_QM.forShopArr[Map_QM.util._indexPathFloor].build][Map_QM.forShopArr[Map_QM.util._indexPathFloor].floor].findPath.guidePathPlay(Map_QM.forShopArr[Map_QM.util._indexPathFloor]);
- Map_QM.controlsChock();
- }
- },
-
- /**
- * 显示楼层
- */
- showNavFloor: function (fromFloor, toFloor, build) {
- let floorArr = [];
- let min = Math.min(fromFloor, toFloor);
- let max = Math.max(fromFloor, toFloor);
- for (let i = min; i <= max; i++) {
- floorArr.push(Map_QM.mapArr[build][i].floorName);
- }
- if (floorArr.length > 5) {
- floorArr.splice(2, floorArr.length - 3);
- floorArr[1] = "...";
- }
- return floorArr;
- },
-
- //导航完成事件
- onFindPathFloor: function (event) {
- document.removeEventListener("pathOver", Map_QM.onFindPathFloor);
- if (Map_QM.forShopArr.length <= Map_QM.util._indexPathFloor) {
- return;
- }
- if (Map_QM.util._indexPathFloor < Map_QM.forShopArr.length - 1) {
- //楼层切换
- if (Map_QM.forShopArr[Map_QM.util._indexPathFloor].Facilities) {
- let pathFloor = Map_QM.forShopArr[Map_QM.util._indexPathFloor].floor;
- let x0 =Map_QM.forShopArr[Map_QM.util._indexPathFloor].Facilities.position.x +64;
- let y0 = Map_QM.forShopArr[Map_QM.util._indexPathFloor].Facilities.position.y;
- let model = Map_QM.forShopArr[Map_QM.util._indexPathFloor].Facilities.userData.model;
- /**
- * @api {事件} PathPlaying 地图导航的实时状态
- * @apiGroup 地图事件
- * @apiDescription 地图导航过程中实时触发
- * @apiVersion 4.0.0
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- * Map_QM.addEventListener("PathPlaying",onPathPlaying,false);
- */
- Map_QM.dispatchEvent({
- //寻路中返回小人当前所在点位
- type: "PathPlaying",
- data: {
- houseNumber:Map_QM.forShopArr[Map_QM.util._indexPathFloor].Facilities.userData.facCode + Map_QM.forShopArr[Map_QM.util._indexPathFloor].Facilities.userData.no,
- },
- });
- let box;
- if (model && model.userData.name == "dt") {
- model.traverse(function (child) {
- if (child.isMesh && child.name == "zhitibox") {
- box = child;
- }
- if (child.isMesh && (child.name == "zhitijiegou" || child.name == "zhitiboli")) {
- child.scale.y = 3;
- }
- });
- }
-
- let zo = 2,
- tz = 2,
- boxT = 0,
- boxZ = 0;
- let add = window.innerWidth > 2000 ? 80 : 40;
- let lft = window.innerWidth > 2000 ? 8 : 4;
- Map_QM.util._indexPathFloor++;
- let toFloor = parseInt(
- Map_QM.forShopArr[Map_QM.util._indexPathFloor].floor
- );
- Map_QM.util.selectFloor = toFloor;
- let floorArr = Map_QM.showNavFloor(
- pathFloor,
- toFloor,
- parseInt(Map_QM.forShopArr[Map_QM.util._indexPathFloor].build)
- ); //电梯旁显示的楼层名称
- if (pathFloor < toFloor) {
- tz = (floorArr.length - 1) * add;
- boxT = 12;
- } else {
- zo = (floorArr.length - 1) * add;
- boxZ = 12;
- }
-
- document.getElementById("moveFloor").style.bottom = zo + "px";
- document.getElementById("moveFloor").style.width = add + "px";
- document.getElementById("moveFloor").style.height = add + "px";
-
- Map_QM.moveFloorbg.element.style.width = add + lft + "px";
- Map_QM.moveFloorbg.element.style.height = floorArr.length * add + "px";
- Map_QM.moveFloorbg.position.set(x0, y0, (floorArr.length * add) / -1);
- Map_QM.moveFloorbg.applyMatrix4(
- Map_QM.mapArr[
- parseInt(Map_QM.forShopArr[Map_QM.util._indexPathFloor].build)
- ][pathFloor].allObj.matrix
- );
- let floorBox = document.getElementById("floorBox");
- while (floorBox.hasChildNodes()) {
- floorBox.removeChild(floorBox.firstChild);
- }
- for (let i = floorArr.length - 1; i >= 0; i--) {
- let span2 = document.createElement("span");
- span2.style.cssText = "display: block;color: #000000; text-align: center;";
- span2.style.fontSize = "16px";
- if (window.innerWidth > 2000) {
- span2.style.fontSize = "24px";
- }
- span2.style.width = add + lft + "px";
- span2.style.height = add + "px";
- span2.style.lineHeight = add + "px";
- span2.innerText = floorArr[i];
- floorBox.appendChild(span2);
- }
-
- TweenMax.fromTo("#moveFloor",1.5,{ bottom: zo },
- {
- bottom: tz,
- delay: 0.1,
- onComplete: function () {
- Map_QM.moveFloorbg.element.style.display = "none";
- Map_QM.callBackLoadOver = Map_QM.callBackForPathShop; //楼层初始化完成后回调
- Map_QM.changeFloorInner(
- Map_QM.forShopArr[Map_QM.util._indexPathFloor].build,
- Map_QM.forShopArr[Map_QM.util._indexPathFloor].floor
- );
- },
- }
- );
- Map_QM.moveFloorbg.element.style.display = "block";
- if (box) {
- TweenMax.fromTo(box.position, 1.2, { y: boxZ },
- { y: boxT, delay: 0.2,
- onComplete: function () {
- box.position.y = 0;
- model.traverse(function (child) {
- if (
- child.isMesh &&
- (child.name == "zhitijiegou" || child.name == "zhitiboli")
- ) {
- child.scale.y = 1;
- }
- });
- },
- }
- );
- }
-
- if (pathCameraState == "3D") {
- let xt = Map_QM.guide.position.x + event.detail.dx * 10;
- let yt = Map_QM.guide.position.y + event.detail.dy * 10;
- if (model && model.userData.name == "upft") {
- Map_QM.guide.visible = true;
- TweenMax.to(Map_QM.guide.position, 1.3, { x: xt, y: yt, z: 50,
- onComplete: function () {
- Map_QM.guide.visible = false;
- },
- });
- }
- if (model && model.userData.name == "downft") {
- Map_QM.guide.visible = true;
- TweenMax.to(Map_QM.guide.position, 1.3, { x: xt, y: yt, z: -50,
- onComplete: function () {
- Map_QM.guide.visible = false;
- },
- });
- }
- }
- } else {
- //楼栋切换
- Map_QM.util._indexPathFloor++;
- Map_QM.callBackLoadOver = Map_QM.callBackForPathShop;
- Map_QM.changeBuildInner(
- Map_QM.forShopArr[Map_QM.util._indexPathFloor].build,
- Map_QM.forShopArr[Map_QM.util._indexPathFloor].floor
- );
- }
- } else {
- Map_QM.util.startObj = Map_QM.util.deviceObj;
- /**
- * @api {事件} PathPlayOver 地图导航完成
- * @apiGroup 地图事件
- * @apiDescription 地图导航到达目标点时触发
- * @apiVersion 4.0.0
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- * Map_QM.addEventListener("PathPlayOver",onPathPlayOver,false);
- */
- Map_QM.dispatchEvent({
- //寻路完成
- type: "PathPlayOver",
- data: "PathPlayOver",
- });
- }
- },
- /**
- * 楼层状态清理
- */
- clearFloor: function (fIndex = -1, reSet = true) {
- isJUZ = false;
- if (fIndex == -1) {
- fIndex = Map_QM.util.deviceObj.floor;
- }
- if (Map_QM.selectShop) {
- Map_QM.selectShop.scale.z = 1;
- }
- if (Map_QM.endModel && Map_QM.endModel.visible) {
- Map_QM.endModel.visible = false;
- }
- if (Map_QM.endIcon && Map_QM.endIcon.visible) {
- Map_QM.endIcon.visible = false;
- }
- if (Map_QM.moveFloorbg) {
- Map_QM.moveFloorbg.element.style.display = "none";
- }
- if (reSet) {
- //叠层不处理
- if (Map_QM.mapArr[Map_QM.util.selectBuild] && Map_QM.mapArr[Map_QM.util.selectBuild].length > 0) {
- for (let i = 0; i < Map_QM.mapArr[Map_QM.util.selectBuild].length; i++) {
- let child = Map_QM.mapArr[Map_QM.util.selectBuild][i].allObj;
- for (let k = child.children.length - 1; k >= 0; k--) {
- if (child.children[k].name == "lineDash") {
- Map_QM.mapArr[Map_QM.util.selectBuild][i].allObj.remove(child.children[k]);
- }
- }
- Map_QM.mapArr[Map_QM.util.selectBuild][i].findPath.clearPath();
- }
- }
- Map_QM.remove_child(Map_QM.dtLineGroup);
- }
- Map_QM.removeHeatMap();
- TweenMax.killAll(true);
- },
-
- remove_child: function (remObj) {
- if (!remObj) {
- return;
- }
- let child_elem = remObj.children;
- for (let i = child_elem.length - 1; i >= 0; i--) {
- if (child_elem[i].children.length > 0) {
- Map_QM.remove_child(child_elem[i]);
- } else {
- if (child_elem[i] instanceof THREE.Mesh) {
- child_elem[i].geometry.dispose(); // 删除几何体
- if (child_elem[i].material !== undefined)
- Map_QM.removeMaterial(child_elem.material); // 删除材质
- }
- }
- if (child_elem[i].name != "light" && child_elem[i].name != "dtline") {
- remObj.remove(child_elem[i]);
- }
- }
- },
- removeMaterial: function (material) {
- if (Array.isArray(material)) {
- for (var i = 0, l = material.length; i < l; i++) {
- this.removeMaterialFromRefCounter(material[i]);
- }
- } else {
- this.removeMaterialFromRefCounter(material);
- }
- },
- removeMaterialFromRefCounter: function (material) {
- var materialsRefCounter = this.materialsRefCounter;
- if (materialsRefCounter) {
- var count = materialsRefCounter.get(material);
- count--;
- if (count === 0) {
- materialsRefCounter.delete(material);
- delete this.materials[material.uuid];
- } else {
- materialsRefCounter.set(material, count);
- }
- }
- },
-
- /**
- * @api {方法} pathStop() 导航暂停/播放
- * @apiGroup 地图导航
- * @apiDescription 导航动画暂停/播放
- * @apiVersion 4.0.0
- *
- * @apiSampleRequest off
- *
- */
- pathStop: function (isPlaying) {
- Map_QM.util.pathStateObj.isPathPlay =isPlaying === undefined? !Map_QM.util.pathStateObj.isPathPlay : isPlaying;
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].findPath.pathPlay.isPlay = Map_QM.util.pathStateObj.isPathPlay;
- },
- /**
- * @api {方法} pathRePlay() 导航动画重播
- * @apiGroup 地图导航
- * @apiDescription 导航动画重播
- * @apiVersion 4.0.0
- *
- * @apiSampleRequest off
- *
- */
- pathRePlay: function () {
- clearTimeout(Map_QM.util.timeObj.pathTime);
- TweenMax.killAll(true);
- if (!Map_QM.util.overObj.node) {
- return;
- }
- if (Map_QM.util.pathStateObj.isPathState) {
- Map_QM.util.timeObj.pathTime = setTimeout(() => {
- clearTimeout(Map_QM.util.timeObj.pathTime);
- Map_QM.controls.reset();
- if (Map_QM.util.overObj && Map_QM.forShopArr[0]) {
- Map_QM.util.pathStateObj.isPathPlay = true;
- Map_QM.clearFloor();
- Map_QM.onFindPathToObj();
- }
- }, 100);
- }
- },
-
- /**
- * @api {方法} ChangePathByFt() 切换扶梯模式
- * @apiGroup 地图导航
- * @apiDescription 导航切换扶梯模式
- * @apiVersion 4.0.0
- *
- * @apiParam {function} callBack 回调函数
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.ChangePathByFt(function);
- *
- */
- ChangePathByFt: function (callBack) {
- clearTimeout(Map_QM.util.timeObj.pathTime);
- TweenMax.killAll(true);
- if (!Map_QM.util.overObj.node || Map_QM.util.isMorePath) {
- return;
- }
- Map_QM.util.timeObj.pathTime = setTimeout(() => {
- clearTimeout(Map_QM.util.timeObj.pathTime);
- Map_QM.controls.reset();
- if (Map_QM.util.overObj) {
- Map_QM.clearFloor();
- Map_QM.onFindPathModel(Map_QM.util.pathStateObj.ftPath);
- if (callBack) {
- Map_QM.parseForShopArr();
- const data = JSON.parse(JSON.stringify(Map_QM.util.pathStateObj.forShopArr));
- callBack(data);
- }
- }
- }, 100);
- },
- /**
- * @api {方法} ChangePathByDt() 切换电梯模式
- * @apiGroup 地图导航
- * @apiDescription 导航切换电梯模式
- * @apiVersion 4.0.0
- *
- * @apiParam {function} callBack 回调函数
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.ChangePathByDt(function);
- *
- */
- ChangePathByDt: function (callBack) {
- clearTimeout(Map_QM.util.timeObj.pathTime);
- TweenMax.killAll(true);
- if (!Map_QM.util.overObj.node || Map_QM.util.isMorePath) {
- return;
- }
- Map_QM.util.timeObj.pathTime = setTimeout(() => {
- clearTimeout(Map_QM.util.timeObj.pathTime);
- Map_QM.controls.reset();
- if (Map_QM.util.overObj) {
- Map_QM.clearFloor();
- Map_QM.onFindPathModel(Map_QM.util.pathStateObj.dtPath);
- if (callBack) {
- Map_QM.parseForShopArr();
- const data = JSON.parse(JSON.stringify(Map_QM.util.pathStateObj.forShopArr));
- callBack(data);
- }
- }
- }, 100);
- },
- /**
- * @api {方法} ChangePathByGood() 切换最佳模式
- * @apiGroup 地图导航
- * @apiDescription 导航切换最佳模式
- * @apiVersion 4.0.0
- *
- * @apiParam {function} callBack 回调函数
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.ChangePathByGood(function);
- *
- */
- ChangePathByGood: function (callBack) {
- clearTimeout(Map_QM.util.timeObj.pathTime);
- TweenMax.killAll(true);
- if (!Map_QM.util.overObj.node || Map_QM.util.isMorePath) {
- return;
- }
- Map_QM.util.timeObj.pathTime = setTimeout(() => {
- clearTimeout(Map_QM.util.timeObj.pathTime);
- Map_QM.controls.reset();
- if (Map_QM.util.overObj) {
- Map_QM.clearFloor();
- Map_QM.onFindPathModel(Map_QM.util.pathStateObj.graphPath);
- if (callBack) {
- Map_QM.parseForShopArr();
- const data = JSON.parse(JSON.stringify(Map_QM.util.pathStateObj.forShopArr));
- callBack(data);
- }
- }
- }, 100);
- },
-
- ///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
- changeDocmentResize: function (e) {
- let w = parseInt(Map_QM.ele.clientWidth) || parseInt(window.getComputedStyle(Map_QM.ele, null).getPropertyValue("width"));
- let h = parseInt(Map_QM.ele.clientHeight) || parseInt( window.getComputedStyle(Map_QM.ele, null).getPropertyValue("height"));
- Map_QM.changeWindowResize(w, h);
- },
- /**
- * @api {方法} changeWindowResize() 窗口变化
- * @apiGroup 地图交互
- * @apiDescription 窗口变化
- * @apiVersion 4.0.0
- *
- * @apiParam {int} width 窗口宽
- * @apiParam {int} height 窗口高
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.changeWindowResize(1280,1080);
- */
- changeWindowResize: function (width, height) {
- if(!width){
- width = parseInt(Map_QM.ele.clientWidth) || parseInt(window.getComputedStyle(Map_QM.ele, null).getPropertyValue("width"));
- }
- if(!height){
- height = parseInt(Map_QM.ele.clientHeight) || parseInt(window.getComputedStyle(Map_QM.ele, null).getPropertyValue("height"));
- }
- Map_QM.aspect = width / height;
- Map_QM.cameraPerspective.aspect = Map_QM.aspect;
- Map_QM.cameraPerspective.updateProjectionMatrix();
- Map_QM.renderer.setSize(width, height);
- Map_QM.labelRenderer.setSize(width, height);
- Map_QM.updateRender();
- Map_QM.collLabel();
- Map_QM.w = width;
- Map_QM.h = height;
- },
-};
-/**
- * @api {方法} init(callBack,options) 地图初始化
- * @apiGroup 地图数据
- * @apiDescription 初始化地图赋值 Map_QM
- * @apiVersion 4.0.0
- *
- * @apiParam {function} callBack 初始化成功后的回调函数
- * @apiParam {object} options 初始化对象
- * @apiParam {int} options.build 设备所在楼栋编号 默认值6
- * @apiParam {int} options.floor 设备所在楼层编号 默认值 true
- * @apiParam {int} options.navPoint 设备导航点 默认值 -1
- * @apiParam {int} options.angle 起点设备角度 默认值 0
- * @apiParam {string} options.perc_H 弹窗的偏移量 默认值 "-50%";
- * @apiParam {string} options.containerId 地图div容器Id 默认值 "mapContainer"
- * @apiParam {string} options.playSpeed 动画播放速度 默认值8
- * @apiParam {boolean} options.collision 是否支持名称的碰撞检测 默认值 true
- * @apiParam {boolean} options.modelIcon 交通设施是否使用模型 默认值 true
- * @apiParam {Array} options.otherPath 人为干预的路线 默认值 [];
- * @apiParam {int} options.fSpace 双叠层状态下楼层的间距 默认值 500
- * @apiParam {uint} options.navColor 途径店铺颜色 默认值 0xEE6A50
- * @apiParam {boolean} options.shadow 是否显示阴影 默认值 false
- * @apiParam {boolean} options.iconName 图标名称是否显示 默认值false
- * @apiParam {uint} options.pathColor 导航路径颜色 默认值 0xb47834,
- * @apiParam {string} options.pathStyle 导航第一视角 默认值 "2D",
- * @apiParam {string} options.shopStyle 店铺显示字段编号(houseNumber)名称(shopName) 默认值 "shopName",
- * @apiParam {boolean} options.inArea 地图点击后是否聚焦到当前位置 默认值 false
- * @apiParam {string} options.mapData 地图数据 res.data.mapData
- * @apiParam {string} options.shopData 店铺数据 res.data
- * @apiParam {Array} options.iconUrl 设施库图标 默认值 []
- *
- * @apiSampleRequest off
- * @apiParamExample {String} 请求示例
- *
- * MainMap_QM.init(callBackLoadOver,{build : 0, floor : 3, navPoint : 7, angle : 0, perc_H : "-50%",containerId : "mapContainer"});
- */
-MainMap_QM.init = function (callBack, options) {
- if (Map_QM) {
- Map_QM.cancelRender();
- Map_QM.beforeDestroy();
- }
- Map_QM = new MainMap_QM(callBack, options);
- return Map_QM;
-};
-Object.assign(MainMap_QM.prototype, THREE.EventDispatcher.prototype);
-
-//////////////////////////////////////-------------------------------FloorMap
-var FloorMap_QM = function (bIndex, fIndex, floorName) {
- this.Model_QM = new MyModel_QM();
- this.facUtil = new Facilities_QM();
- this.findPath = new FindPath_QM();
- this.logoUtil = new ShopLogo_QM();
- this.allObj = new THREE.Group();
- this.allObj.name = floorName;
- this.allObj.rotation.x = Math.PI / -2;
- this.CSSObj = new THREE.Group();
-
- this.floorOrder = fIndex;
- this.buildOrder = bIndex;
- this.floorName = floorName;
- //存第三方
- this.otherObj = new THREE.Object3D();
- this.allObj.add(this.otherObj);
-
- //存放设施图标
- this.serObj = new THREE.Object3D();
- //存放车位box
- this.parkObj = new THREE.Group();
- //标签
- this.tagObj = new THREE.Group();
- this.tagObj.renderOrder = 100;
- //存放设施图标
- this.svgObj = new THREE.Group();
- //店铺
- this.shopObj = new THREE.Group();
- this.allObj.add(this.shopObj);
- this.allObj.add(this.svgObj);
- this.allObj.add(this.CSSObj);
-
- this.CSSObj.add(this.serObj);
- this.CSSObj.add(this.tagObj);
- //标签
- this.showTagObj = new THREE.Group();
- this.showTagObj.renderOrder = 100;
- this.CSSObj.add(this.showTagObj);
-
- //线条
- this.lineObj = new THREE.Group();
- this.lineObj.renderOrder = 100;
- this.allObj.add(this.lineObj);
-
- this.startIcon;
-};
-
-FloorMap_QM.prototype = {
- initDraw: function () {
- this.initFloor();
- this.initFacilitie();
- this.initStairs();
- this.initTextArea();
- this.initWall();
- this.initDecos();
- this.initPark();
- this.initModel();
- this.initTree(); //植树
- this.initLogos(); //贴图
- },
- initLogos: function () {
- let sopce = this;
- if (Map_QM.util.logos) {
- Map_QM.util.logos.map((item) => {
- if (item.build == sopce.buildOrder && item.floor == sopce.floorOrder) {
- sopce.logoUtil.renderIcon(item, sopce, item.site || 0);
- }
- });
- }
- },
- initModel: function () {
- let sopce = this;
- if (Map_QM.util.modelArr) {
- for (let i = 0; i < Map_QM.util.modelArr.length; i++) {
- if (Map_QM.util.modelArr[i].build == this.buildOrder && Map_QM.util.modelArr[i].floor == this.floorOrder) {
- new THREE.GLTFLoader().load(
- Map_QM.util.beforPath + Map_QM.util.modelArr[i].url,
- function (object) {
- //加载路径fbx文件
- let mod = object.scene;
- mod.traverse(function (child) {
- if (child.isMesh) {
- child.receiveShadow = Map_QM.util.options.shadow;
- child.castShadow = Map_QM.util.options.shadow;
- child.userData.opacity = child.material.opacity;
- if (child.material.map) {
- child.material.map.encoding = THREE.LinearEncoding; //贴图需要转换成 线性编码
- }
- child.material.color.convertGammaToLinear(0.7);
- }
- });
- for (let t = 0; t < Map_QM.util.modelArr[i].list.length; t++) {
- let obj = mod.clone();
- obj.position.set(
- Map_QM.util.modelArr[i].list[t].site.x,
- -1 * Map_QM.util.modelArr[i].list[t].site.y,
- Map_QM.util.modelArr[i].list[t].site.z
- );
- obj.scale.set(
- Map_QM.util.modelArr[i].list[t].size.x,
- Map_QM.util.modelArr[i].list[t].size.y,
- Map_QM.util.modelArr[i].list[t].size.z
- );
- obj.rotateX((Map_QM.util.modelArr[i].list[t].rot.x * Math.PI) / 180);
- obj.rotateY((Map_QM.util.modelArr[i].list[t].rot.y * Math.PI) / 180);
- obj.rotateZ((Map_QM.util.modelArr[i].list[t].rot.z * Math.PI) / 180);
- sopce.allObj.add(obj);
- }
- }
- );
- }
- }
- }
- if (Map_QM.util.labelIconArr) {
- for (let i = 0; i < Map_QM.util.labelIconArr.length; i++) {
- if (Map_QM.util.labelIconArr[i].build == this.buildOrder && Map_QM.util.labelIconArr[i].floor == this.floorOrder) {
- let SpriteDiv = document.createElement("div");
- SpriteDiv.className = Map_QM.util.labelIconArr[i].className;
- SpriteDiv.innerHTML = Map_QM.util.labelIconArr[i].title;
- SpriteDiv.dataset.id = Map_QM.util.labelIconArr[i].data.id;
- SpriteDiv.dataset.x = Map_QM.util.labelIconArr[i].site.x;
- SpriteDiv.dataset.y = Map_QM.util.labelIconArr[i].site.y;
- SpriteDiv.dataset.z = Map_QM.util.labelIconArr[i].site.z;
- let pointLabel = new THREE.CSS2DObject(SpriteDiv);
- pointLabel.position.set(
- Map_QM.util.labelIconArr[i].site.x,
- -1 * Map_QM.util.labelIconArr[i].site.y,
- Map_QM.util.labelIconArr[i].site.z
- );
- pointLabel.name = Map_QM.util.labelIconArr[i].title;
- pointLabel.userData = Map_QM.util.labelIconArr[i].data;
- pointLabel.userData.site = Map_QM.util.labelIconArr[i].site;
- pointLabel.userData.mapShow = true;
- pointLabel.userData.isShow = true;
- pointLabel.userData.type = "icon";
- if (Map_QM.util.labelIconArr[i].click) {
- //可点击
- SpriteDiv.addEventListener("click", (event) => {
- Map_QM.dispatchEvent({
- type: "labelIcon",
- data: event.target.dataset,
- });
- },
- false
- );
- } else {
- pointLabel.element.style.pointerEvents = "none";
- }
- pointLabel.userData.floor = Map_QM.util.labelIconArr[i].floor;
- sopce.showTagObj.add(pointLabel);
- }
- }
- }
- },
- initTree: function () {
- let mapData =
- Map_QM.util.allMap[this.buildOrder].buildArr[this.floorOrder].mapData;
- if (mapData.models) {
- for (let t = 0; t < mapData.models.length; t++) {
- for (let i = 0; i < Map_QM.util.fbxModels.length; i++) {
- if (mapData.models[t].type == Map_QM.util.fbxModels[i].key) {
- let obj = Map_QM.util.fbxModels[i].obj.scene.clone();
- obj.position.set(mapData.models[t].x, -1 * mapData.models[t].y, mapData.models[t].site);
- obj.scale.set(mapData.models[t].scale,mapData.models[t].scale,mapData.models[t].scale);
- obj.rotateX(Map_QM.util.fbxModels[i].operation.rot.x);
- obj.rotateY((-1 * mapData.models[t].angle * Math.PI) / 180);
- obj.renderOrder = 100;
- for (let k = 0;k < Map_QM.util.fbxModels[i].obj.animations.length; k++ ) {
- let mixer = new THREE.AnimationMixer(obj);
- mixer.clipAction(Map_QM.util.fbxModels[i].obj.animations[k]).play();
- Map_QM.mixers.push(mixer);
- }
- //加载编辑器动画
- obj.name = mapData.models[t].name;
- if (mapData.animations) {
- mapData.animations.forEach((item) => {
- if (mapData.models[t].name == item.name) {
- obj.rotateY(mapData.models[t].angle * Math.PI / 180);
- let posArr = [],
- rotArr = [],
- scaleArr = [],
- keyArr = [],
- proArr = [],
- clip;
- item.frames.forEach((it) => {
- keyArr.push(it.time);
- posArr.push(it.pos.x, -1 * it.pos.y, it.pos.z);
- rotArr.push((it.rot / -180) * Math.PI);
- scaleArr.push(it.size, it.size, it.size);
- proArr.push(it.pro);
- });
- if (item.isType) {
- //特殊模型动画
- let rotKF = new THREE.KeyframeTrack(item.sonName, keyArr, proArr);
- clip = new THREE.AnimationClip(item.name, keyArr[keyArr.length - 1], [rotKF]);
- } else {
- let posKF = new THREE.KeyframeTrack(item.name + ".position",keyArr,posArr);
- let rotKF = new THREE.KeyframeTrack(item.name + ".rotation[y]", keyArr,rotArr);
- let scalKF = new THREE.KeyframeTrack(item.name + ".scale",keyArr,scaleArr);
- clip = new THREE.AnimationClip(item.name,keyArr[keyArr.length - 1],[posKF, rotKF, scalKF]);
- }
- if (clip) {
- let mixer = new THREE.AnimationMixer(obj);
- mixer.clipAction(clip).play();
- Map_QM.mixers.push(mixer);
- }
- }
- });
- }
- this.allObj.add(obj);
- }
- }
- }
- }
- },
- //初始化单楼层
- initFloor: function () {
- let floor;
- let mapData = Map_QM.util.allMap[this.buildOrder].buildArr[this.floorOrder].mapData;
- let entColor, borderColor;
- if (mapData.floorArea) {
- floor = Map_QM.util.changeAreaToString(mapData.floorArea);
- }
- let bLen = mapData.buildArea.length;
- let hLen = mapData.hollowArea.length;
- let hows_f = [];
- for (let m = 0; m < hLen; m++) {
- let isIn = Map_QM.util.checkAreaInArea(mapData.hollowArea[m],mapData.floorArea);
- if (isIn) {
- hows_f.push(Map_QM.util.changeAreaToString(mapData.hollowArea[m]));
- }
- }
- if (floor) {
- entColor = mapData.floorArea.entColor;
- borderColor = mapData.floorArea.borderColor;
- floorH = parseInt(mapData.floorArea.toHeight);
- let mash = this.Model_QM.MyModelShape(floor,hows_f,mapData.floorArea,entColor,borderColor,10 + 100 * this.floorOrder);
- mash.receiveShadow = true;
- mash.castShadow = false;
- mash.userData = {
- type: "floor",
- order: this.floorOrder,
- };
- mash.userData.opacity = mapData.floorArea.alphaModle / 100 || 0;
- mash.name = "floor";
- this.allObj.add(mash);
- }
- /////////////////////初始化楼栋
- for (let i = 0; i < bLen; i++) {
- let build = Map_QM.util.changeAreaToString(mapData.buildArea[i]);
- let hows = [];
- for (let t = 0; t < hLen; t++) {
- let isIn = Map_QM.util.checkAreaInArea(mapData.hollowArea[t],mapData.buildArea[i]);
- if (isIn) {
- hows.push(Map_QM.util.changeAreaToString(mapData.hollowArea[t]));
- }
- }
- entColor = mapData.buildArea[i].entColor;
- borderColor = mapData.buildArea[i].borderColor;
- buildH = parseInt(mapData.buildArea[i].toHeight);
- let mash = this.Model_QM.MyPlaneShape(build,hows,mapData.buildArea[i],entColor,borderColor,30 + 100 * this.floorOrder);
- mash.receiveShadow = true;
- mash.castShadow = false;
- mash.userData = {
- type: "build",
- order: this.floorOrder,
- xaxis: mapData.buildArea[i].xaxis,
- yaxis: mapData.buildArea[i].yaxis,
- };
- mash.userData.opacity = mapData.buildArea[i].alphaModle / 100 || 0;
- mash.name = mapData.buildArea[i].name;
- this.allObj.add(mash);
- }
- //店铺
- let sLen = mapData.shopArea.length;
- let show = "",
- showE = "",
- showLeb = "",
- formatCode = "",
- mapShow = false;
- let logo = "",
- navRecommend = false,
- shopD = {};
- let shopData = Map_QM.util.shopData;
- for (let i = 0; i < sLen; i++) {
- if (Map_QM.util.changeAreaToString(mapData.shopArea[i]) != "") {
- for (let t = 0; t < sLen; t++) {
- let isIn = Map_QM.util.checkAreaInArea(mapData.shopArea[i], mapData.shopArea[t]);
- isIn &&(mapData.shopArea[i].site = parseInt(mapData.shopArea[i].site) + 1);
- }
- let arr = Map_QM.util.changeShopLinesToString(mapData.shopArea[i]);
- entColor = mapData.shopArea[i].entColor || "#b79266";
- borderColor = mapData.shopArea[i].borderColor || "#b79266";
- show = showE = mapData.shopArea[i].name;
- logo = "";
- showLeb = "";
- navRecommend = false;
- mapShow = false;
- shopD = {};
- if (shopData) {
- for (let h = 0; h < shopData.length; h++) {
- if (shopData[h].houseNumber === mapData.shopArea[i].name) {
- showLeb = shopData[h].houseNumber;
- show = shopData[h].shopName == undefined ? shopData[h].name : shopData[h].shopName;
- showE = shopData[h].shopNameEn == undefined ? shopData[h].nameEn : shopData[h].shopNameEn;
- logo = shopData[h].logoUrl;
- mapShow = shopData[h].mapShow ?? false; //是否常显示
- formatCode = shopData[h].industryFatherCode;
- if (shopData[h].isPass) {
- navRecommend = shopData[h].isPass;
- } else {
- navRecommend = false;
- }
- shopD = shopData[h];
- if (shopData[h].isNewShop) {
- //新店
- mapData.shopArea[i].type = "new-shop";
- this.addTagLabel(mapData.shopArea[i], {node: mapData.shopArea[i].shopNav, floor: this.floorOrder, build: this.buildOrder});
- } else {
- if (shopData[h].activityList &&shopData[h].activityList.length > 0) {
- //促销
- mapData.shopArea[i].type = "promotion";
- this.addTagLabel(mapData.shopArea[i], {node: mapData.shopArea[i].shopNav, floor: this.floorOrder, build: this.buildOrder });
- }
- }
- shopData[h].color && (entColor = shopData[h].color);
- shopData[h].formatColor && (entColor = shopData[h].formatColor);
- shopData[h].borderColor && (borderColor = shopData[h].borderColor);
- break;
- }
- }
- }
- let hollShop = [];
- if (mapData.shopArea[i].hollArea) {
- for (let k = 0; k < mapData.shopArea[i].hollArea.length; k++) {
- hollShop.push(Map_QM.util.changeAreaToString(mapData.shopArea[i].hollArea[k]));
- }
- }
- let mahc = this.Model_QM.MyModelShape(arr,hollShop,mapData.shopArea[i],entColor,borderColor,60 + 100 * this.floorOrder);
- mahc.node = mapData.shopArea[i].shopNav;
- mahc.userData = {
- id: mapData.shopArea[i].id,
- shopData: shopD,
- xaxis: mapData.shopArea[i].xaxis >> 0,
- yaxis: mapData.shopArea[i].yaxis >> 0,
- node: mahc.node,
- floor: this.floorOrder,
- build: this.buildOrder,
- navRecommend: navRecommend,
- type: "shop",
- houseNumber: mapData.shopArea[i].name,
- shopName: show,
- formatCode: formatCode,
- logo: logo,
- opacity: mapData.shopArea[i].alphaModle / 100 || 0,
- };
- mahc.name = showLeb;
- mahc.xaxis = mapData.shopArea[i].xaxis >> 0;
- mahc.yaxis = mapData.shopArea[i].yaxis >> 0;
- this.shopObj.add(mahc);
- if (mapData.shopArea[i].logoUrl && mapData.shopArea[i].isLabel == 0) {
- //添加logo
- this.logoUtil.renderIcon(mapData.shopArea[i],mahc,parseInt(mapData.shopArea[i].toHeight) +1 );
- } else {
- //添加文字
- let some = false;
- if (Map_QM.util.options.boxShop.length && Map_QM.util.options.boxShop[0] !== "") {
- some = Map_QM.util.options.boxShop.some((item) => {
- return mapData.shopArea[i].name.includes(item);
- });
- }
- if (showLeb != "" || some) {
- let shopSpr = Map_QM.util.getTextMesh(show, new THREE.Vector3( mapData.shopArea[i].xaxis >> 0, (-1 * mapData.shopArea[i].yaxis) >> 0, parseInt(mapData.shopArea[i].toHeight)) );
- mahc.add(shopSpr);
- Map_QM.spriteList[this.buildOrder][this.floorOrder].push(shopSpr);
- shopSpr.name = mapData.shopArea[i].name;
- shopSpr.userData.mapShow = mapShow; //是否永久显示
- shopSpr.userData.formatCode = formatCode;
- shopSpr.userData.isShow = true;
- shopSpr.userData.nameEn = showE || show;
- shopSpr.userData.name = show;
- }
- }
- }
- }
- },
- addTagLabel: function (obj, userData) {
- let shopDiv = document.createElement("img");
- shopDiv.src = Map_QM.util.beforPath + "static/img/" + obj.type + ".png";
- shopDiv.style.zIndex = 30;
- shopDiv.style.width = "3.125vw";
- let shopLabel = new THREE.CSS2DObject(shopDiv);
- shopLabel.userData = userData;
- shopLabel.userData.mapShow = true; //是否永久显示
- shopLabel.userData.isShow = false;
- shopLabel.userData.type = obj.type;
- shopLabel.position.set(obj.xaxis >> 0, (-1 * obj.yaxis) >> 0, Map_QM.util.shopHeight + 30);
- this.tagObj.add(shopLabel);
- },
- //初始化服务图标
- initFacilitie: function () {
- let serArr = Map_QM.util.allMap[this.buildOrder].buildArr[this.floorOrder].mapData.icons;
- for (let i = 0; i < serArr.length; i++) {
- if (serArr[i].hasOwnProperty("iShow")) {
- if (serArr[i].iShow) {
- serArr[i].floorOrder = this.floorOrder;
- serArr[i].buildOrder = this.buildOrder;
- this.facUtil.renderIcon(serArr[i], this);
- }
- } else {
- serArr[i].floorOrder = this.floorOrder;
- serArr[i].buildOrder = this.buildOrder;
- this.facUtil.renderIcon(serArr[i], this);
- }
- }
- },
- //初始化电梯图标
- initStairs: function () {
- let facArr = Map_QM.util.allMap[this.buildOrder].buildArr[this.floorOrder].mapData.stairs;
- for (let i = 0; i < facArr.length; i++) {
- if (facArr[i].facCode == "ft") {
- if (Map_QM.util.pathStateObj.elevatorDown && Map_QM.util.pathStateObj.elevator && Map_QM.util.options.modelIcon) {
- if (facArr[i].downState) {
- //上扶梯
- let ex = Map_QM.util.pathStateObj.elevator.clone();
- ex.position.set(facArr[i].x, -1 * facArr[i].y, facArr[i].site || 0);
- ex.rotation.y = ((facArr[i].angle || 0) * Math.PI) / -180;
- ex.userData.type = "icon";
- ex.userData.use = "3d";
- ex.userData.name = "upft";
- ex.userData.buildOrder = facArr[i].buildOrder;
- ex.userData.floorOrder = facArr[i].floorOrder;
- ex.userData.navCode = facArr[i].navCode;
- ex.userData.src = "static/img/ft.png";
- ex.userData.facCode = facArr[i].facCode;
- ex.userData.title = facArr[i].title;
- this.serObj.add(ex);
- facArr[i].facCode = "ft";
- this.facUtil.renderIcon(facArr[i], this, false, ex);
- } else if (facArr[i].upState) {
- //下扶梯
- let ex = Map_QM.util.pathStateObj.elevatorDown.clone();
- ex.position.set(facArr[i].x, -1 * facArr[i].y, facArr[i].site || 0);
- ex.rotation.y = ((facArr[i].angle || 0) * Math.PI) / -180;
- ex.userData.type = "icon";
- ex.userData.use = "3d";
- ex.userData.name = "downft";
- ex.userData.buildOrder = facArr[i].buildOrder;
- ex.userData.floorOrder = facArr[i].floorOrder;
- ex.userData.navCode = facArr[i].navCode;
- ex.userData.src = "static/img/ft.png";
- ex.userData.facCode = facArr[i].facCode;
- ex.userData.title = facArr[i].title;
- this.serObj.add(ex);
- facArr[i].facCode = "ft";
- this.facUtil.renderIcon(facArr[i], this, false, ex);
- } else {
- this.facUtil.renderIcon(facArr[i], this, true);
- }
- } else {
- this.facUtil.renderIcon(facArr[i], this, true);
- }
- } else if (facArr[i].facCode == "upft") {
- if (Map_QM.util.pathStateObj.elevator && Map_QM.util.options.modelIcon) {
- let ex = Map_QM.util.pathStateObj.elevator.clone();
- ex.position.set(facArr[i].x, -1 * facArr[i].y, facArr[i].site || 0);
- ex.rotation.y = ((facArr[i].angle || 0) * Math.PI) / -180;
- ex.userData.type = "icon";
- ex.userData.use = "3d";
- ex.userData.name = "upft";
- ex.userData.buildOrder = facArr[i].buildOrder;
- ex.userData.floorOrder = facArr[i].floorOrder;
- ex.userData.navCode = facArr[i].navCode;
- ex.userData.src = "static/img/ft.png";
- ex.userData.facCode = facArr[i].facCode;
- ex.userData.title = facArr[i].title;
- this.serObj.add(ex);
- facArr[i].facCode = "ft";
- this.facUtil.renderIcon(facArr[i], this, false, ex);
- } else {
- facArr[i].facCode = "ft";
- this.facUtil.renderIcon(facArr[i], this, true);
- }
- } else if (facArr[i].facCode == "downft") {
- if (Map_QM.util.pathStateObj.elevatorDown && Map_QM.util.options.modelIcon) {
- let ex = Map_QM.util.pathStateObj.elevatorDown.clone();
- ex.position.set(facArr[i].x, -1 * facArr[i].y, facArr[i].site || 0);
- ex.rotation.y = ((facArr[i].angle || 0) * Math.PI) / -180;
- ex.userData.type = "icon";
- ex.userData.use = "3d";
- ex.userData.name = "downft";
- ex.userData.buildOrder = facArr[i].buildOrder;
- ex.userData.floorOrder = facArr[i].floorOrder;
- ex.userData.navCode = facArr[i].navCode;
- ex.userData.src = "static/img/ft.png";
- ex.userData.facCode = facArr[i].facCode;
- ex.userData.title = facArr[i].title;
- this.serObj.add(ex);
- facArr[i].facCode = "ft";
- this.facUtil.renderIcon(facArr[i], this, false, ex);
- } else {
- facArr[i].facCode = "ft";
- this.facUtil.renderIcon(facArr[i], this, true);
- }
- } else if (facArr[i].facCode == "dt") {
- if (Map_QM.util.pathStateObj.straight && Map_QM.util.options.modelIcon) {
- let stra = Map_QM.util.pathStateObj.straight.clone();
- stra.position.set(facArr[i].x, -1 * facArr[i].y, facArr[i].site || 0);
- stra.rotation.y = ((facArr[i].angle || 0) * Math.PI) / -180;
- stra.userData.type = "icon";
- stra.userData.use = "3d";
- stra.userData.name = "dt";
- stra.userData.buildOrder = facArr[i].buildOrder;
- stra.userData.floorOrder = facArr[i].floorOrder;
- stra.userData.navCode = facArr[i].navCode;
- stra.userData.src = "static/img/dt.png";
- stra.userData.facCode = facArr[i].facCode;
- stra.userData.title = facArr[i].title;
- this.serObj.add(stra);
- this.facUtil.renderIcon(facArr[i], this, false, stra);
- } else {
- this.facUtil.renderIcon(facArr[i], this, true);
- }
- } else {
- this.facUtil.renderIcon(facArr[i], this, true);
- }
- }
- },
- //初始化装饰图标
- initDecos: function () {
- let mapData = Map_QM.util.allMap[this.buildOrder].buildArr[this.floorOrder].mapData;
- let sLen = mapData.decos.length;
- let entColor, borderColor;
-
- if (mapData.groupArea) {
- for (let k = 0; k < mapData.groupArea.length; k++) {
- var gp = new THREE.Group();
- gp.rotateX((mapData.groupArea[k].angleX * Math.PI) / 180);
- gp.rotateY((mapData.groupArea[k].angleY * Math.PI) / 180);
- gp.rotateZ((mapData.groupArea[k].angleZ * Math.PI) / 180);
- for (let i = 0; i < sLen; i++) {
- let arr = Map_QM.util.changeAreaToString(mapData.decos[i]);
- if (mapData.decos[i].gid && mapData.decos[i].gid == mapData.groupArea[k].name && arr.length > 0) {
- entColor = mapData.decos[i].entColor;
- borderColor = mapData.decos[i].borderColor;
- let show = mapData.decos[i].name == "deco" ? "" : mapData.decos[i].name;
- let hollShop = [];
- if (mapData.decos[i].hollArea) {
- for (let k = 0; k < mapData.decos[i].hollArea.length; k++) {
- hollShop.push(Map_QM.util.changeAreaToString(mapData.decos[i].hollArea[k]));
- }
- }
- let mahc = this.Model_QM.MyModelShape(arr,hollShop,mapData.decos[i],entColor,borderColor,70 + 100 * this.floorOrder);
- mahc.xaxis = mapData.decos[i].xaxis >> 0;
- mahc.yaxis = mapData.decos[i].yaxis >> 0;
- mahc.node = mapData.decos[i].shopNav;
- mahc.userData = {
- type: "deco",
- name: show,
- };
- mahc.userData.opacity = mapData.decos[i].alphaModle / 100 || 0;
- gp.add(mahc);
- mahc.position.x = -1 * mapData.groupArea[k].xaxis;
- mahc.position.y = mapData.groupArea[k].yaxis;
- }
- }
- this.allObj.add(gp);
- gp.position.x = mapData.groupArea[k].xaxis;
- gp.position.y = -1 * mapData.groupArea[k].yaxis;
- gp.position.z = mapData.groupArea[k].site || 0;
- gp.scale.set(mapData.groupArea[k].scale,mapData.groupArea[k].scale,mapData.groupArea[k].scale);
- }
- }
-
- for (let i = 0; i < sLen; i++) {
- let arr = Map_QM.util.changeAreaToString(mapData.decos[i]);
- if (!mapData.decos[i].gid && arr.length > 0) {
- entColor = mapData.decos[i].entColor;
- borderColor = mapData.decos[i].borderColor;
- let show = mapData.decos[i].name == "deco" ? "" : mapData.decos[i].name;
- let hollShop = [];
- if (mapData.decos[i].hollArea) {
- for (let k = 0; k < mapData.decos[i].hollArea.length; k++) {
- hollShop.push(Map_QM.util.changeAreaToString(mapData.decos[i].hollArea[k]));
- }
- }
- let mahc;
- mahc = this.Model_QM.MyModelShape(arr,hollShop,mapData.decos[i],entColor,borderColor,70 + 100 * this.floorOrder );
- mahc.userData = {
- type: "deco",
- node: mapData.decos[i].shopNav,
- xaxis: mapData.decos[i].xaxis,
- yaxis: mapData.decos[i].yaxis,
- houseNumber: mahc.name,
- name: show,
- };
- this.allObj.add(mahc);
- }
- }
- },
- /**
- * 渲染墙体
- */
- initWall: function () {
- let mapData = Map_QM.util.allMap[this.buildOrder].buildArr[this.floorOrder].mapData;
- //渲染
- if (mapData.wallArea) {
- let sLen = mapData.wallArea.length;
- for (let i = 0; i < sLen; i++) {
- let arr = Map_QM.util.changeWallToString(mapData.wallArea[i]);
- let mahc = this.Model_QM.MyModelShape(arr, null, mapData.wallArea[i], mapData.wallArea[i].entColor || "#eaeaea", mapData.wallArea[i].borderColor || "#eaeaea", 300);
- mahc.userData = {
- type: "wall",
- };
- mahc.userData.opacity = mapData.wallArea[i].alphaModle / 100 || 0;
- this.allObj.add(mahc);
- }
- }
- },
- /**
- * 渲染文本
- */
- initTextArea: function () {
- let mapData = Map_QM.util.allMap[this.buildOrder].buildArr[this.floorOrder].mapData;
- //渲染
- if (mapData.svgArea) {
- let sLen = mapData.svgArea.length;
- for (let i = 0; i < sLen; i++) {
- let mahc = this.Model_QM.MyModelText(mapData.svgArea[i]);
- mahc.userData = {
- type: "svg",
- rot: mahc.rotation.z,
- houseNumber: mapData.svgArea[i].name,
- };
- this.svgObj.add(mahc);
- }
- }
- },
- /**
- * 设置终点图标
- */
- setOverSite: function (shopX, shopY, shopZ) {
- if (Map_QM.endModel) {
- Map_QM.endModel.visible = pathCameraState == "2D" ? false : true;
- Map_QM.endModel.scale.x = Map_QM.endModel.scale.y = Map_QM.endModel.scale.z = 100;
- Map_QM.endModel.position.set(shopX, shopZ, shopY); //x,z,y
- Map_QM.endModel.applyMatrix4(Map_QM.sceneGap.matrix);
- if (Map_QM.endIcon) {
- Map_QM.endIcon.visible = pathCameraState == "2D" ? true : false;
- Map_QM.endIcon.scale.x = 100;
- Map_QM.endIcon.scale.y = 120;
- Map_QM.endIcon.position.set(shopX, 100, shopY); //x,z,y
- Map_QM.endIcon.applyMatrix4(Map_QM.sceneGap.matrix);
- }
- } else {
- try {
- Map_QM.scene.traverse((item) => {
- if (item.name == "Z-model") {
- Map_QM.scene.remove(item);
- }
- });
- } catch (e) {
- window.captureException && window.captureException(e);
- console.log("traverse");
- }
-
- let loader2 = new THREE.GLTFLoader();
- loader2.load(
- Map_QM.util.beforPath + "static/img/zhong.glb",
- function (collada2) {
- collada2.scene.scale.x = collada2.scene.scale.y = collada2.scene.scale.z = 100;
- if (shopX != 0 && shopY != 0) {
- collada2.scene.position.set(shopX, shopZ, shopY); //x,z,y
- }
- collada2.scene.applyMatrix4(Map_QM.sceneGap.matrix);
- collada2.scene.renderOrder = 200;
- collada2.scene.traverse(function (child) {
- if (child.type === "Mesh") {
- child.castShadow = Map_QM.util.options.shadow;
- child.receiveShadow = Map_QM.util.options.shadow;
- if (child.material.map) {
- child.material.map.encoding = THREE.LinearEncoding; //贴图需要转换成 线性编码
- }
- }
- });
- for (let k = 0; k < collada2.animations.length; k++) {
- let mixer = new THREE.AnimationMixer(collada2.scene);
- mixer.clipAction(collada2.animations[k]).play();
- Map_QM.mixers.push(mixer);
- }
- collada2.scene.name = "Z-model";
- Map_QM.endModel = collada2.scene;
- Map_QM.scene.add(collada2.scene);
- Map_QM.endModel.visible = pathCameraState == "2D" ? false : true;
- }
- );
- let spriteMap = new THREE.TextureLoader().load(
- Map_QM.util.beforPath + "static/img/Z.png"
- );
- let spriteMaterial = new THREE.SpriteMaterial({
- //sizeAttenuation: false 禁止跟随鼠标缩放
- map: spriteMap,
- depthTest: true,
- transparent: true,
- alphaTest: 0.5,
- });
- Map_QM.endIcon = new MySprite_QM(spriteMaterial);
- Map_QM.endIcon.scale.set(100, 120, 1);
- Map_QM.endIcon.center = new THREE.Vector2(0.5, 0);
- Map_QM.endIcon.position.set(shopX, 100, shopY);
- Map_QM.endIcon.applyMatrix4(Map_QM.sceneGap.matrix);
- Map_QM.endIcon.renderOrder = 300;
- Map_QM.endIcon.name = "Z-model";
- Map_QM.endIcon.visible = pathCameraState == "2D" ? true : false;
- Map_QM.scene.add(Map_QM.endIcon);
- }
- },
- /**
- * 设置起点图标
- */
- setStartSite: function (shopX, shopY, shopZ) {
- let _this = this;
- if (Map_QM.qiModel) {
- Map_QM.devModel.position.set(shopX, -1 * shopY, 20);
- _this.allObj.add(Map_QM.devModel);
- Map_QM.qiModel.position.set(shopX, -1 * shopY, 10);
- _this.allObj.add(Map_QM.qiModel);
- Map_QM.qiIcon.position.set(shopX, -1 * shopY, shopZ);
- _this.allObj.add(Map_QM.qiIcon);
- } else {
- new THREE.GLTFLoader().load(
- Map_QM.util.beforPath + "static/img/guide.glb",
- function (obj) {
- obj.scene.scale.x = obj.scene.scale.y = obj.scene.scale.z = 100;
- obj.scene.rotation.x = Math.PI / 2;
- obj.scene.rotation.y = (Map_QM.util.deviceObj.angle * Math.PI) / -180;
- obj.scene.traverse(function (child) {
- if (child.type === "Mesh") {
- child.castShadow = Map_QM.util.options.shadow;
- child.receiveShadow = Map_QM.util.options.shadow;
- if (child.material.map) {
- child.material.map.encoding = THREE.LinearEncoding; //贴图需要转换成 线性编码
- }
- }
- });
- if (shopX != 0 && shopY != 0) {
- obj.scene.position.set(shopX, -1 * shopY, 50); //x,z,y
- }
- for (let k = 0; k < obj.animations.length; k++) {
- let mixer = new THREE.AnimationMixer(obj.scene);
- mixer.clipAction(obj.animations[k]).play();
- Map_QM.mixers.push(mixer);
- }
- Map_QM.devModel = obj.scene;
- Map_QM.devModel.visible = false;
- Map_QM.devModel.renderOrder = 160;
- _this.allObj.add(Map_QM.devModel);
- }
- );
- new THREE.GLTFLoader().load(
- Map_QM.util.beforPath + "static/img/qi.glb",
- function (collada) {
- collada.scene.scale.x = collada.scene.scale.y = collada.scene.scale.z = 100;
- collada.scene.rotateX(Math.PI / 2);
- collada.scene.traverse(function (child) {
- if (child.type === "Mesh") {
- child.castShadow = Map_QM.util.options.shadow;
- child.receiveShadow = Map_QM.util.options.shadow;
- if (child.material.map) {
- child.material.map.encoding = THREE.LinearEncoding; //贴图需要转换成 线性编码
- }
- }
- });
- if (shopX != 0 && shopY != 0) {
- collada.scene.position.set( shopX, -1 * shopY, parseInt(Map_QM.util.buildHeight) + 5); //x,z,y
- }
- for (let k = 0; k < collada.animations.length; k++) {
- let mixer = new THREE.AnimationMixer(collada.scene);
- mixer.clipAction(collada.animations[k]).play();
- Map_QM.mixers.push(mixer);
- }
- collada.scene.renderOrder = 200;
- collada.scene.userData.type = "start";
- Map_QM.qiModel = collada.scene;
- _this.allObj.add(collada.scene);
- //--------------------------------------------------------------
- let spriteMap = new THREE.TextureLoader().load(
- Map_QM.util.beforPath + "static/img/Q.png"
- );
- let spriteMaterial = new THREE.SpriteMaterial({
- //sizeAttenuation: false 禁止跟随鼠标缩放
- map: spriteMap,
- depthTest: true,
- transparent: true,
- alphaTest: 0.5,
- });
- Map_QM.qiIcon = new MySprite_QM(spriteMaterial);
- Map_QM.qiIcon.scale.set(100, 120, 1);
- Map_QM.qiIcon.center = new THREE.Vector2(0.5, 0);
- Map_QM.qiIcon.position.set(shopX, -1 * shopY, shopZ + 50);
- Map_QM.qiIcon.renderOrder = 500;
- Map_QM.qiIcon.visible = false;
- Map_QM.qiIcon.userData.type = "start";
- _this.allObj.add(Map_QM.qiIcon);
- }
- );
- }
- },
- /**
- * 查找线
- * @param {Object} startNode
- * @param {Object} endNode
- */
- isNoFindLine: function (startNode, endNode) {
- let no = false;
- for (let i = 0; i < startNode.lineArr.length; i++) {
- if (startNode.lineArr[i].nextNode.id == endNode.id ||startNode.lineArr[i].selfNode.id == endNode.id) {
- no = true;
- break;
- }
- }
- return no;
- },
- //初始化停车位
- initPark: function () {
- let mapData = Map_QM.util.allMap[this.buildOrder].buildArr[this.floorOrder].mapData;
- //渲染车位
- if (mapData.parkArea) {
- let sLen = mapData.parkArea.length;
- if (sLen > 0) {
- this.allObj.add(this.parkObj);
- }
- let shapeArr = [],
- materials = [],
- parkHeight = 1,
- borderColor = 0xaaaaaa;
- for (let i = 0; i < sLen; i++) {
- let arr = Map_QM.util.changeParkToString(mapData.parkArea[i]);
- if (arr != "") {
- parkHeight = Math.max(parseInt(mapData.parkArea[i].toHeight), parkHeight);
- borderColor = mapData.parkArea[i].borderColor;
- if (arr.length > 0) {
- let shape = new THREE.Shape();
- shape.moveTo(arr[0][0], -1 * arr[0][1]);
- for (let k = 1; k < arr.length; k++) {
- shape.lineTo(arr[k][0], -1 * arr[k][1]);
- }
- shapeArr.push(shape);
- let meshMaterial;
- let color2 = new THREE.Color(mapData.parkArea[i].entColor);
- for (let e = 0; e < Map_QM.util.parkMaterialArr.length; e++) {
- if (Map_QM.util.parkMaterialArr[e].color.equals(color2)) {
- meshMaterial = Map_QM.util.parkMaterialArr[e];
- }
- }
- if (!meshMaterial) {
- meshMaterial = new THREE.MeshBasicMaterial({
- color: mapData.parkArea[i].entColor,
- });
- Map_QM.util.parkMaterialArr.push(meshMaterial);
- }
- materials.push(meshMaterial);
- if (mapData.parkArea[i].childArea && mapData.parkArea[i].childArea.length > 0) {
- for (let m = 0; m < mapData.parkArea[i].childArea.length; m++) {
- let meshMaterial0;
- if (mapData.parkArea[i].childArea[m].color && mapData.parkArea[i].childArea[m].color != "#FFffff") {
- let color2 = new THREE.Color(mapData.parkArea[i].childArea[m].color);
- for (let e = 0; e < Map_QM.util.parkMaterialArr.length; e++) {
- if (Map_QM.util.parkMaterialArr[e].color.equals(color2)) {
- meshMaterial0 = Map_QM.util.parkMaterialArr[e];
- }
- }
- if (!meshMaterial0) {
- meshMaterial0 = new THREE.MeshBasicMaterial({
- color: mapData.parkArea[i].childArea[m].color,
- });
- Map_QM.util.parkMaterialArr.push(meshMaterial0);
- }
- } else {
- meshMaterial0 = meshMaterial;
- }
- let ps = mapData.parkArea[i].childArea[m].points;
- let shape0 = new THREE.Shape();
- // 设置开始点的位置
- shape0.moveTo(ps[0].x, -1 * ps[0].y);
- for (let t = 0; t < ps.length; t++) {
- shape0.lineTo(ps[t].x, -1 * ps[t].y);
- }
- shapeArr.push(shape0);
- materials.push(meshMaterial0);
- }
- }
- }
- //显示车位编号
- if (mapData.parkArea[i].parkNum != "NaN" && i % 20 == 0) {
- let shopSpr = Map_QM.util.getTextMesh( mapData.parkArea[i].parkNum, new THREE.Vector3(mapData.parkArea[i].xaxis >> 0,(-1 * mapData.parkArea[i].yaxis) >> 0,parseInt(mapData.parkArea[i].toHeight)));
- this.parkObj.add(shopSpr);
- Map_QM.spriteList[this.buildOrder][this.floorOrder].push(shopSpr);
- shopSpr.name = mapData.parkArea[i].name;
- shopSpr.userData.mapShow = false; //是否永久显示
- shopSpr.userData.formatCode = "park";
- shopSpr.userData.isShow = true;
- shopSpr.userData.nameEn = mapData.parkArea[i].parkNum;
- shopSpr.userData.name = mapData.parkArea[i].parkNum;
- }
- }
- }
- let mahc = this.Model_QM.MyParkShape(shapeArr, materials, parkHeight);
- this.parkObj.add(mahc);
- }
- },
-};
-
-/**
- * 渲染3D模型类
- * 传入区域点list
- * 镂空点 howllowArr
- * 模型对象 options
- */
-MyModel_QM = function () {
- this.xaxis = 0;
- this.yaxis = 0;
- this.node = 0;
-};
-MyModel_QM.prototype.MyParkShape = function (shapes, materials, toHeight = 5) {
- let scanGeometry = new THREE.ShapeBufferGeometry(shapes, 1);
- let material = new THREE.LineBasicMaterial({
- color: "#aeaeae",
- }); //材质对象lineColor
- Map_QM.util.lineBasicMaterialArr.push(material);
-
- // 创建模型
- let mesh = new THREE.Mesh(scanGeometry, materials);
- mesh.position.z = toHeight;
- mesh.renderOrder = 300;
- mesh.userData.type = "park";
-
- let cubeEdges = new THREE.EdgesGeometry(scanGeometry, 60);
- let cubeLine = new THREE.LineSegments(cubeEdges, material);
- mesh.add(cubeLine);
- return mesh;
-};
-
-MyModel_QM.prototype.MyModelShape = function (areaArr,howllowArr,opObj,entityColor = 0xdadada,lineColor = 0xeeeeee,indexOrder = 1) {
- let len = areaArr.length;
- if (len == 0) {
- return;
- }
- let alphaModle = opObj.alphaModle / 100 || 0;
- // 实例化shape对象
- let shape = new THREE.Shape();
- // 设置开始点的位置
- shape.moveTo(areaArr[0][0], -1 * areaArr[0][1]);
- for (let i = 0; i < areaArr.length; i++) {
- if (areaArr[i].length == 4) {
- shape.lineTo(areaArr[i][2], -1 * areaArr[i][3]);
- } else {
- shape.bezierCurveTo(areaArr[i][2], -1 * areaArr[i][3], areaArr[i][4], -1 * areaArr[i][5], areaArr[i][6], -1 * areaArr[i][7]);
- }
- }
- let material;
- let matcolor = new THREE.Color(lineColor);
- for (let k = 0; k < Map_QM.util.lineBasicMaterialArr.length; k++) {
- if (Map_QM.util.lineBasicMaterialArr[k].color.equals(matcolor)) {
- material = Map_QM.util.lineBasicMaterialArr[k];
- }
- }
- if (!material) {
- material = new THREE.LineBasicMaterial({
- color: lineColor,
- opacity: 0.8,
- transparent: true,
- }); //材质对象lineColor
- Map_QM.util.lineBasicMaterialArr.push(material);
- }
- if (howllowArr && howllowArr.length > 0) {
- for (let n = 0; n < howllowArr.length; n++) {
- let hole = new THREE.Path(); // 添加孔洞
- hole.moveTo(howllowArr[n][0][0], -1 * howllowArr[n][0][1]);
- for (let k = 0; k < howllowArr[n].length; k++) {
- if (howllowArr[n][k].length == 4) {
- hole.lineTo(howllowArr[n][k][2], -1 * howllowArr[n][k][3]);
- } else {
- hole.bezierCurveTo(howllowArr[n][k][2],-1 * howllowArr[n][k][3],howllowArr[n][k][4],-1 * howllowArr[n][k][5],howllowArr[n][k][6],-1 * howllowArr[n][k][7]);
- }
- }
- shape.holes.push(hole);
- }
- }
-
- let scanGeometry,
- meshMaterial,
- options = {
- depth: parseInt(opObj.toHeight),
- bevelEnabled: false,
- curveSegments: 12,
- bevelThickness: 0,
- bevelSize: 0,
- bevelSegments: 0,
- material: 0, //frontMaterial = green
- extrudeMaterial: 1, //sideMaterial = gray
- };
-
- scanGeometry = new THREE.ExtrudeGeometry(shape, options);
- let meshColor = new THREE.Color(entityColor);
- for (let e = 0; e < Map_QM.util.meshMaterialArr.length; e++) {
- if (Map_QM.util.meshMaterialArr[e].color &&
- Map_QM.util.meshMaterialArr[e].color.equals(meshColor) &&
- Map_QM.util.meshMaterialArr[e].opacity == alphaModle &&
- !Map_QM.util.meshMaterialArr[e].userData.map
- ) {
- meshMaterial = Map_QM.util.meshMaterialArr[e];
- }
- }
- if (!meshMaterial) {
- meshMaterial = new THREE.MeshPhongMaterial({
- //MeshStandardMaterial MeshPhongMaterial MeshBasicMaterial
- color: entityColor,
- transparent: true,
- opacity: alphaModle,
- side: THREE.DoubleSide,
- depthTest: true,
- });
- Map_QM.util.meshMaterialArr.push(meshMaterial);
- }
- if (opObj.angleY || opObj.angleZ) {
- Map_QM.util.rotateYZ(scanGeometry,(opObj.angleY * Math.PI) / 180,(opObj.angleZ * Math.PI) / 180);
- }
- // 创建模型
- let mesh;
- if (opObj.map == "home") {
- Map_QM.util.assignUVs(scanGeometry);
- let mapMaterial, ceMaterial;
- for (let e = 0; e < Map_QM.util.meshMaterialArr.length; e++) {
- if (Map_QM.util.meshMaterialArr[e].userData.map == "front" && Map_QM.util.meshMaterialArr[e].opacity == alphaModle) {
- mapMaterial = Map_QM.util.meshMaterialArr[e];
- }
- if (Map_QM.util.meshMaterialArr[e].userData.map == "c50" && Map_QM.util.meshMaterialArr[e].opacity == alphaModle) {
- ceMaterial = Map_QM.util.meshMaterialArr[e];
- }
- }
- if (!mapMaterial) {
- let texture = new THREE.TextureLoader().load(Map_QM.util.beforPath + "static/img/map/front.png");
- texture.wrapS = THREE.ClampToEdgeWrapping;
- texture.wrapT = THREE.RepeatWrapping;
- mapMaterial = new THREE.MeshPhongMaterial({
- color: entityColor,
- map: texture,
- transparent: true,
- opacity: alphaModle,
- side: THREE.DoubleSide,
- depthTest: true,
- });
- mapMaterial.userData.map = "front";
- Map_QM.util.meshMaterialArr.push(mapMaterial);
- }
- if (!ceMaterial) {
- let texture2 = new THREE.TextureLoader().load(Map_QM.util.beforPath + "static/img/map/c50.png");
- texture2.wrapS = THREE.RepeatWrapping;
- texture2.wrapT = THREE.ClampToEdgeWrapping;
- ceMaterial = new THREE.MeshPhongMaterial({
- color: entityColor,
- map: texture2,
- transparent: true,
- opacity: alphaModle,
- side: THREE.DoubleSide,
- depthTest: true,
- });
- ceMaterial.userData.map = "c50";
- Map_QM.util.meshMaterialArr.push(ceMaterial);
- }
- mesh = new THREE.Mesh(scanGeometry, [meshMaterial, ceMaterial, mapMaterial,]);
- } else if (opObj.map) {
- Map_QM.util.packUv(scanGeometry);
- let ceMaterial;
- for (let e = 0; e < Map_QM.util.meshMaterialArr.length; e++) {
- if (Map_QM.util.meshMaterialArr[e].userData.map == opObj.map && Map_QM.util.meshMaterialArr[e].opacity == alphaModle) {
- ceMaterial = Map_QM.util.meshMaterialArr[e];
- }
- }
- if (!ceMaterial) {
- let texture2 = new THREE.TextureLoader().load(Map_QM.util.beforPath + "static/img/map/" + opObj.map + ".png");
- texture2.wrapS = THREE.RepeatWrapping;
- texture2.wrapT = THREE.ClampToEdgeWrapping;
- ceMaterial = new THREE.MeshPhongMaterial({
- color: entityColor,
- map: texture2,
- transparent: true,
- opacity: alphaModle,
- side: THREE.DoubleSide,
- depthTest: true,
- });
- ceMaterial.userData.map = opObj.map;
- Map_QM.util.meshMaterialArr.push(ceMaterial);
- }
- mesh = new THREE.Mesh(scanGeometry, [meshMaterial, ceMaterial]);
- } else {
- mesh = new THREE.Mesh(scanGeometry, meshMaterial);
- }
-
- if (opObj.type != "wall") {
- let cubeEdges = new THREE.EdgesGeometry(scanGeometry, 60);
- let cubeLine = new THREE.LineSegments(cubeEdges, material);
- cubeLine.renderOrder = indexOrder - 5;
- mesh.add(cubeLine);
- }
- if (opObj.name != "floor") {
- mesh.position.z = opObj.site || 0;
- } else {
- mesh.position.z = -1 * parseInt(opObj.toHeight) - 1;
- }
- mesh.castShadow = true;
- mesh.renderOrder = indexOrder;
- mesh.name = opObj.name || "";
- return mesh;
-};
-
-//绘制平面
-MyModel_QM.prototype.MyPlaneShape = function (areaArr,howllowArr,opObj,entityColor = "#dadada",lineColor = "#eeeeee",indexOrder = 1) {
- let len = areaArr.length;
- if (len == 0) {
- return;
- }
- let alphaModle = opObj.alphaModle / 100 || 0;
- // 实例化shape对象
- let shape = new THREE.Shape();
- // 设置开始点的位置
- shape.moveTo(areaArr[0][0], -1 * areaArr[0][1]);
- for (let i = 0; i < areaArr.length; i++) {
- if (areaArr[i].length == 4) {
- shape.lineTo(areaArr[i][2], -1*areaArr[i][3]);
- } else {
- shape.bezierCurveTo(areaArr[i][2], -1*areaArr[i][3], areaArr[i][4], -1*areaArr[i][5], areaArr[i][6], -1*areaArr[i][7]);
- }
- }
- let material;
- for (let k = 0; k < Map_QM.util.lineBasicMaterialArr.length; k++) {
- let color2 = new THREE.Color(lineColor);
- if (Map_QM.util.lineBasicMaterialArr[k].color.equals(color2)) {
- material = Map_QM.util.lineBasicMaterialArr[k];
- }
- }
- if (!material) {
- material = new THREE.LineBasicMaterial({
- color: lineColor,
- opacity: 0.8,
- transparent: true,
- }); //材质对象lineColor
- Map_QM.util.lineBasicMaterialArr.push(material);
- }
- if (howllowArr && howllowArr.length > 0) {
- for (let n = 0; n < howllowArr.length; n++) {
- let hole = new THREE.Path(); // 添加孔洞
- hole.moveTo(howllowArr[n][0][0], -1 * howllowArr[n][0][1]);
- for (let k = 0; k < howllowArr[n].length; k++) {
- if (howllowArr[n][k].length == 4) {
- hole.lineTo(howllowArr[n][k][2], -1 * howllowArr[n][k][3]);
- } else {
- hole.bezierCurveTo(howllowArr[n][k][2], -1*howllowArr[n][k][3], howllowArr[n][k][4], -1*howllowArr[n][k][5], howllowArr[n][k][6], -1*howllowArr[n][k][7]);
- }
- }
- shape.holes.push(hole);
- }
- }
- let scanGeometry, meshMaterial;
- scanGeometry = new THREE.ShapeGeometry(shape, 8);
- Map_QM.util.assignUVs(scanGeometry);
- if (opObj.map) {
- let texture = new THREE.TextureLoader().load(
- Map_QM.util.beforPath + "static/img/map/" + opObj.map + ".png"
- );
- meshMaterial = new THREE.MeshPhongMaterial({
- //MeshStandardMaterial MeshPhongMaterial olor: entityColor,
- color: entityColor,
- map: texture,
- transparent: true,
- opacity: alphaModle,
- side: THREE.DoubleSide,
- depthTest: true,
- });
- meshMaterial.userData.map = opObj.map;
- Map_QM.util.meshMaterialArr.push(meshMaterial);
- } else {
- for (let e = 0; e < Map_QM.util.meshMaterialArr.length; e++) {
- let color2 = new THREE.Color(entityColor);
- if (
- Map_QM.util.meshMaterialArr[e].color &&
- Map_QM.util.meshMaterialArr[e].color.equals(color2) &&
- Map_QM.util.meshMaterialArr[e].opacity == alphaModle &&
- !Map_QM.util.meshMaterialArr[e].userData.map
- ) {
- meshMaterial = Map_QM.util.meshMaterialArr[e];
- }
- }
- if (!meshMaterial) {
- meshMaterial = new THREE.MeshPhongMaterial({
- color: entityColor,
- transparent: true,
- opacity: alphaModle,
- side: THREE.DoubleSide,
- depthTest: true,
- });
- Map_QM.util.meshMaterialArr.push(meshMaterial);
- }
- if (opObj.angleY || opObj.angleZ) {
- Map_QM.util.rotateYZ(
- scanGeometry,
- (opObj.angleY * Math.PI) / 180,
- (opObj.angleZ * Math.PI) / 180
- );
- }
- }
- // 创建模型
- let mesh = new THREE.Mesh(scanGeometry, meshMaterial);
-
- let cubeEdges = new THREE.EdgesGeometry(scanGeometry, 60);
- let cubeLine = new THREE.LineSegments(cubeEdges, material);
- cubeLine.renderOrder = indexOrder - 5;
- mesh.add(cubeLine);
-
- if (opObj.name != "floor") {
- mesh.position.z = parseInt(opObj.toHeight) || 0;
- }
- mesh.castShadow = true;
- mesh.renderOrder = indexOrder;
- mesh.name = opObj.name || "";
- return mesh;
-};
-
-MyModel_QM.prototype.MyModelText = function (svgArea) {
- let text = svgArea.data;
- const paths = new THREE.SVGLoader().parse(text).paths;
- const group = new THREE.Group();
-
- group.position.x = parseInt(svgArea.xaxis);
- group.position.y = -1 * parseInt(svgArea.yaxis);
- group.position.z = parseInt(svgArea.site || 0);
- group.rotateX((parseInt(svgArea.angleZ) * Math.PI) / 180);
- group.rotateY((parseInt(svgArea.angleY) * Math.PI) / 180);
- group.rotateZ((parseInt(svgArea.angle) * Math.PI) / 180);
- group.scale.multiplyScalar(svgArea.scale);
- group.scale.y *= -1;
-
- let meshMaterial;
- for (let e = 0; e < Map_QM.util.meshMaterialArr.length; e++) {
- let color2 = new THREE.Color().setHex(svgArea.entColor);
- if (Map_QM.util.meshMaterialArr[e].color &&
- Map_QM.util.meshMaterialArr[e].color.equals(color2) &&
- Map_QM.util.meshMaterialArr[e].opacity == svgArea.alphaModle
- ) {
- meshMaterial = Map_QM.util.meshMaterialArr[e];
- }
- }
- if (!meshMaterial) {
- meshMaterial = new THREE.MeshStandardMaterial({
- color: svgArea.entColor,
- opacity: parseInt(svgArea.alphaModle) / 100,
- });
- Map_QM.util.meshMaterialArr.push(meshMaterial);
- }
-
- for (let i = 0; i < paths.length; i++) {
- const path = paths[i];
- let shapes = path.toShapes(true);
- const geometry = new THREE.ShapeGeometry(shapes, 12);
- const mesh = new THREE.Mesh(geometry, meshMaterial);
- mesh.renderOrder = 50;
- mesh.name = svgArea.name || "";
- mesh.position.set( svgArea.width / -2, svgArea.height / -2, parseInt(svgArea.toHeight) + 1);
- group.add(mesh);
- }
- return group;
-};
-
-/**
- * 公共设施
- */
-var MySprite_QM = function (spriteMaterial, obj = null) {
- THREE.Sprite.call(this);
- if (obj) {
- this.navCode = obj.navCode;
- this.no = obj.no;
- this.facCode = obj.facCode;
- this.floor = obj.floorOrder;
- this.build = obj.buildOrder;
- this.site = parseInt(obj.site) || Map_QM.util.shopHeight + 32;
- }
- this.imgUrl;
- this.material = spriteMaterial !== undefined ? spriteMaterial : new SpriteMaterial();
- //图标跳动
- this.jumpIcon = function () {
- let oldZ = this.site;
- let self = this;
- TweenMax.fromTo(self.position, 0.5, { z: oldZ }, {z: oldZ + 20, repeat: 1,
- onComplete: function () {
- TweenMax.to(self.position, 0.2, { z: oldZ });
- },
- }
- );
- };
- this.reSetSite = function () {
- //重置位置
- this.position.z = this.site;
- };
-};
-
-MySprite_QM.prototype = Object.create(THREE.Sprite.prototype);
-MySprite_QM.prototype.constructor = MySprite_QM;
-
-/**
- * 渲染公共设施
- */
-var Facilities_QM = function () {
- this.renderIcon = function (obj, _this, isShow = true, ele = null) {
- if (obj) {
- let url = Map_QM.util.beforPath + "static/img/" + obj.facCode + ".png";
- let name = obj.title;
- let nameEn = obj.title;
- if (Map_QM.util.iconUrl.length > 0) {
- //使用设施库
- for (let i = 0; i < Map_QM.util.iconUrl.length; i++) {
- if (Map_QM.util.iconUrl[i].abbreviation == obj.facCode) {
- url = Map_QM.util.iconUrl[i].navFilePath;
- name = Map_QM.util.iconUrl[i].name;
- nameEn = Map_QM.util.iconUrl[i].nameEn;
- }
- }
- }
- let shopDiv = document.createElement("img");
- shopDiv.src = url;
- shopDiv.style.zIndex = 100;
- shopDiv.style.width = "1.2vw";
- shopDiv.style.display = isShow ? "" : "none";
- shopDiv.dataset.name = name;
- shopDiv.dataset.src = url;
- shopDiv.dataset.nameEn = nameEn;
- shopDiv.dataset.buildOrder = obj.buildOrder;
- shopDiv.dataset.floorOrder = obj.floorOrder;
- shopDiv.dataset.facCode = obj.facCode;
- shopDiv.dataset.node = obj.navCode;
-
- shopDiv.addEventListener("click", (event) => {
- /**
- * @api {事件} icon 点击设施图标
- * @apiGroup 地图事件
- * @apiDescription 用户点击设施图标后触发自定义事件
- * @apiVersion 4.0.0
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- * Map_QM.addEventListener("icon",onClickIcon,false);
- */
- Map_QM.dispatchEvent({
- type: "icon",
- data: {
- buildOrder: event.target.dataset.buildOrder,
- floorOrder: event.target.dataset.floorOrder,
- node: event.target.dataset.node,
- src: event.target.dataset.src,
- facCode: event.target.dataset.facCode,
- title: event.target.dataset.name,
- },
- });
- });
- let shopLabel = new THREE.CSS2DObject(shopDiv);
- shopLabel.userData.mapShow = true; //是否永久显示
- shopLabel.userData = obj;
- shopLabel.userData.type = "icon";
- shopLabel.userData.use = ele ? "2d" : "all";
- shopLabel.userData.model = ele;
- shopLabel.userData.src = url;
- shopLabel.userData.isShow = true;
- shopLabel.position.set(obj.x, -1*obj.y, Math.max(30, parseInt(obj.site) || 0));
- _this.serObj.add(shopLabel);
-
- if (Map_QM.util.options.iconName) {
- let shopSpr = Map_QM.util.getTextMesh(obj.title, new THREE.Vector3(obj.x, -1*obj.y, Math.max(30, parseInt(obj.site) || 0) + 80));
- _this.serObj.add(shopSpr);
- Map_QM.spriteList[_this.buildOrder][_this.floorOrder].push(shopSpr);
- shopSpr.name = name;
- shopSpr.userData.mapShow = true; //是否永久显示
- shopSpr.userData.formatCode = "icon";
- shopSpr.userData.isShow = true;
- shopSpr.userData.nameEn = nameEn;
- shopSpr.userData.name = name;
- }
- }
- };
-};
-/**
- * 店铺LOGO地图展示类
- */
-var ShopLogo_QM = function () {
- this.renderIcon = function (obj, _this, z) {
- if (obj) {
- let x = obj.xaxis >> 0;
- let y = (-1 * obj.yaxis) >> 0;
- let imgW = obj.imgW >> 0;
- let imgH = obj.imgH >> 0;
-
- new THREE.TextureLoader().load(obj.logoUrl, (textu) => {
- let planeMaterial = new THREE.MeshPhongMaterial({
- map: textu,
- depthTest: true,
- transparent: true,
- alphaTest: 0.01,
- });
- let planeGeometry = new THREE.PlaneGeometry(imgW, imgH);
- let plane = new THREE.Mesh(planeGeometry, planeMaterial);
- plane.center = new THREE.Vector2(0, 0);
- plane.position.set(x, y, obj.site || z);
- plane.userData.rot = 0;
- plane.userData.type = "logo";
- plane.renderOrder = 70;
- _this.add(plane);
- });
- }
- };
-};
-
-var _selfFindPath;
-var FindPath_QM = function () {
- this.pathArr = [];
- this.lineDashed;
- this.lineDashed_old;
- //路线指引箭头皮肤
- this.planeGeometry = new THREE.PlaneGeometry(128, 128);
- this.morePath = false;
- this.stop = null;
- this._index = 0; //寻路用
- this.pathState = "init";
- this.pathPlay = {
- _isPlay: false,
- get isPlay() {
- return this._isPlay;
- },
- set isPlay(val) {
- this._isPlay = val;
- if (_selfFindPath && _selfFindPath.stop) {
- window.cancelAnimationFrame(_selfFindPath.stop);
- _selfFindPath.stop = null;
- }
- if (_selfFindPath && _selfFindPath.pathState == "isPlay" && _selfFindPath._index < _selfFindPath.pathArr.length) {
- _selfFindPath.playMoveGuide();
- }
- },
- };
-};
-
-FindPath_QM.prototype.clearPath = function () {
- this.pathArr = [];
- if (this.lineDashed) {
- if (Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor]) {
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].allObj.remove(this.lineDashed);
- }
- this.lineDashed.destroy();
- this.lineDashed = null;
- }
- if (this.lineDashed_old) {
- if (Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor]) {
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].allObj.remove(this.lineDashed_old);
- }
- this.lineDashed_old.destroy();
- this.lineDashed_old = null;
- }
- if (Map_QM.guide) {
- Map_QM.guide.visible = false;
- if (Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor]) {
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].allObj.remove(Map_QM.man_2d);
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].allObj.remove(Map_QM.man_3d);
- }
- }
-
- if (_selfFindPath && _selfFindPath.stop) {
- window.cancelAnimationFrame(_selfFindPath.stop);
- }
- this._index = 0;
- this.pathState = "init";
-};
-/**
- * @param {Object} startNade
- * @param {Object} toNade
- * @param {Object} callBack 回调函数
- */
-FindPath_QM.prototype.onFindPathAnimation = function (pathArray,morePath = false,floorOrder = -1) {
- this.morePath = morePath;
- if (pathArray && pathArray.length > 0) {
- this.pathState = "isPlay";
- this._index = 0;
- this.pathArr = [];
- if (floorOrder === -1) {
- floorOrder = Map_QM.util.selectFloor;
- }
- if (morePath) {
- for (let j = 0; j < pathArray.length; j++) {
- this.drawPath(floorOrder,pathArray[j], parseInt(Map_QM.util.buildHeight) + j);
- }
- } else {
- for (let j = 0; j < pathArray.length; j++) {
- this.pathArr.push(pathArray[j]);
- }
- this.drawPath(floorOrder);
- }
- }
-};
-
-FindPath_QM.prototype.drawPath = function (floorOrder, pathArr = null, height = 1) {
- let linePath = [];
- if (!pathArr) {
- for (let i = 0; i < this.pathArr.length; i++) {
- if (i < this.pathArr.length) {
- linePath.push([this.pathArr[i].x, -1 * this.pathArr[i].y]);
- }
- }
- } else {
- for (let i = 0; i < pathArr.length; i++) {
- if (i < pathArr.length) {
- linePath.push([pathArr[i].x, -1 * pathArr[i].y]);
- }
- }
- }
- if (this.morePath) {
- this.lineDashed_old = new PathLine(12,linePath,height,Map_QM.util.options.pathColor,Map_QM.util.options.pathColor2,true);
- } else if (Map_QM.util.options.shadow) {
- this.lineDashed_old = new PathLine(12,linePath,parseInt(Map_QM.util.buildHeight) + 1,Map_QM.util.options.pathBgColor,Map_QM.util.options.pathBgColor2,true);
- } else {
- this.lineDashed_old = new PathLine(12,linePath,parseInt(Map_QM.util.buildHeight) + 1,Map_QM.util.options.pathColor,Map_QM.util.options.pathColor2,true);
- }
- this.lineDashed_old.name = "lineDash";
- this.lineDashed_old.renderOrder = 128;
- Map_QM.mapArr[Map_QM.util.selectBuild][floorOrder].allObj.add(this.lineDashed_old);
-};
-FindPath_QM.prototype.updateClearPath = function () {
- if (this.lineDashed) {
- if (Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor]) {
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].allObj.remove(this.lineDashed);
- }
- this.lineDashed.destroy();
- this.lineDashed = null;
- }
-};
-FindPath_QM.prototype.updateDrawPath = function () {
- if (Map_QM.util.options.shadow) {
- this.updateClearPath();
- let linePath = [];
- linePath.push([Map_QM.guide.position.x, Map_QM.guide.position.y]);
- for (let i = this._index; i < this.pathArr.length; i++) {
- if (i < this.pathArr.length) {
- linePath.push([this.pathArr[i].x, -1 * this.pathArr[i].y]);
- }
- }
- this.lineDashed = new PathLine(12,linePath,parseInt(Map_QM.util.buildHeight) + 2,Map_QM.util.options.pathColor,Map_QM.util.options.pathColor2,false);
- this.lineDashed.renderOrder = 130;
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].allObj.add(this.lineDashed);
- }
-};
-
-FindPath_QM.prototype.guidePathPlay = function (paths) {
- if (Map_QM.guide) {
- Map_QM.guide.renderOrder = 99;
- if (paths.PathPoint) {
- Map_QM.guide.position.x = paths.PathPoint[0].x;
- Map_QM.guide.position.y = -1 * paths.PathPoint[0].y;
- Map_QM.moveCameraBy2D(paths.PathPoint[0]);
- Map_QM.man_2d.position.z = parseInt(Map_QM.util.buildHeight) + 120;
- Map_QM.man_3d.position.z = parseInt(Map_QM.util.buildHeight) + 5;
- Map_QM.guide.visible = true;
- Map_QM.mapArr[Map_QM.util.selectBuild][paths.floor].allObj.add(Map_QM.man_2d);
- Map_QM.mapArr[Map_QM.util.selectBuild][paths.floor].allObj.add(Map_QM.man_3d);
- }
- }
- this.pathArr = paths.PathPoint;
- _selfFindPath = this;
- if (Map_QM.util.pathStateObj.isPathPlay) {
- this.pathPlay.isPlay = true;
- }
-};
-/**
- * 播放图标指引动画
- */
-FindPath_QM.prototype.playMoveGuide = function () {
- if (!Map_QM.guide) {
- return;
- }
- let px = Map_QM.guide.position.x;
- let py = Map_QM.guide.position.y;
- let targetX = _selfFindPath.pathArr[_selfFindPath._index].x - px;
- let targetY = -1 * _selfFindPath.pathArr[_selfFindPath._index].y - py;
- let dist = Math.sqrt(targetX * targetX + targetY * targetY);
- let df = Math.ceil(dist / (Map_QM.util.options.playSpeed * Map_QM.util.options.speedMult));
- let dx = (_selfFindPath.pathArr[_selfFindPath._index].x - px) / df;
- let dy = (-1 * _selfFindPath.pathArr[_selfFindPath._index].y - py) / df;
- let ang = 0;
- if (df < 2) {
- Map_QM.guide.position.x = _selfFindPath.pathArr[_selfFindPath._index].x;
- Map_QM.guide.position.y = -1 * _selfFindPath.pathArr[_selfFindPath._index].y;
- Map_QM.moveCameraBy2D({x: _selfFindPath.pathArr[_selfFindPath._index].x, y: _selfFindPath.pathArr[_selfFindPath._index].y });
- _selfFindPath._index++;
- if (_selfFindPath._index > 0 && _selfFindPath._index < _selfFindPath.pathArr.length) {
- Map_QM.man_3d.rotation.z = Map_QM.man_2d.rotation.z = 0; //180;
- let s = Math.sqrt(
- (_selfFindPath.pathArr[_selfFindPath._index].x - _selfFindPath.pathArr[_selfFindPath._index - 1].x) *
- (_selfFindPath.pathArr[_selfFindPath._index].x - _selfFindPath.pathArr[_selfFindPath._index - 1].x) +
- (_selfFindPath.pathArr[_selfFindPath._index].y - _selfFindPath.pathArr[_selfFindPath._index - 1].y) *
- (_selfFindPath.pathArr[_selfFindPath._index].y - _selfFindPath.pathArr[_selfFindPath._index - 1].y)
- );
- ang = Math.acos((_selfFindPath.pathArr[_selfFindPath._index].y - _selfFindPath.pathArr[_selfFindPath._index - 1].y) /s);
- if ( _selfFindPath.pathArr[_selfFindPath._index].x < _selfFindPath.pathArr[_selfFindPath._index - 1].x) {
- Map_QM.man_3d.rotation.z = Map_QM.man_2d.rotation.z = Math.PI - ang;
- } else {
- Map_QM.man_3d.rotation.z = Map_QM.man_2d.rotation.z = Math.PI + ang;
- }
- }
- let pathShop = "";
- for (let t = 0; t < Map_QM.forShopArr[Map_QM.util._indexPathFloor].wayShop.length; t++) {
- if (Map_QM.forShopArr[Map_QM.util._indexPathFloor].wayShop[t].pathIndex ==_selfFindPath._index) {
- let shop_ = Map_QM.forShopArr[Map_QM.util._indexPathFloor].wayShop[t].shop;
- pathShop = shop_.houseNumber;
- let shops = Map_QM.mapArr[Map_QM.util.selectBuild][parseInt(Map_QM.forShopArr[Map_QM.util._indexPathFloor].wayShop[t].shop.floorOrder)].shopObj.children;
- for (let i = 0; i < shops.length; i++) {
- let _shop = shops[i].userData.shopData;
- if (_shop && _shop.houseNumber == pathShop) {
- let shopModel = shops[i];
- let material = shopModel.material;
- shopModel.material = new THREE.MeshBasicMaterial({
- color: Map_QM.util.options.navColor,
- });
- TweenMax.to(shopModel.scale, 0.8, { z: 3, yoyo: true, ease: Cubic.easeIn,
- onComplete: function () {
- if (shopModel) {
- TweenMax.to(shopModel.scale, 0.5, { z: 1 });
- shopModel.material = material;
- }
- },
- });
- break;
- }
- }
- break;
- }
- }
- Map_QM.dispatchEvent({
- //寻路中返回小人当前所在点位
- type: "PathPlaying",
- data: { houseNumber: pathShop },
- });
- } else {
- px += dx;
- py += dy;
- Map_QM.guide.position.x = px;
- Map_QM.guide.position.y = py;
- Map_QM.moveCameraBy2D({ x: px, y: -1 * py });
- if (!_selfFindPath.morePath) {
- _selfFindPath.updateDrawPath(); //实时绘制有效路径 await 修是 promise
- }
- }
-
- if (_selfFindPath.pathPlay.isPlay && Map_QM.guide) {
- if (_selfFindPath._index < _selfFindPath.pathArr.length) {
- _selfFindPath.stop = requestAnimationFrame(_selfFindPath.playMoveGuide);
- } else {
- if (_selfFindPath && _selfFindPath.stop) {
- window.cancelAnimationFrame(_selfFindPath.stop);
- _selfFindPath.stop = null;
- }
- _selfFindPath.updateClearPath();
- _selfFindPath._index = 0;
- if (Map_QM.guide) {
- Map_QM.guide.visible = false;
- }
- let myEvent = new CustomEvent("pathOver", {
- detail: { dx: dx, dy: dy },
- });
- document.dispatchEvent(myEvent); //触发导航完成事件
- _selfFindPath.pathState = "pathOver";
- }
- }
-};
diff --git a/public/static/qm/three.js b/public/static/qm/three.js
deleted file mode 100644
index a1f8bac..0000000
--- a/public/static/qm/three.js
+++ /dev/null
@@ -1,38640 +0,0 @@
-(function (global, factory) {
- typeof exports === 'object' && typeof module !== 'undefined' ? factory(exports) :
- typeof define === 'function' && define.amd ? define(['exports'], factory) :
- (global = typeof globalThis !== 'undefined' ? globalThis : global || self, factory(global.THREE = {}));
-}(this, (function (exports) { 'use strict';
- if (Number.EPSILON === undefined) {
- Number.EPSILON = Math.pow(2, -52);
- }
- if (Number.isInteger === undefined) {
- Number.isInteger = function (value) {
- return typeof value === 'number' && isFinite(value) && Math.floor(value) === value;
- };
- }
- if (Math.sign === undefined) {
- Math.sign = function (x) {
- return x < 0 ? -1 : x > 0 ? 1 : +x;
- };
- }
- if ('name' in Function.prototype === false) {
- Object.defineProperty(Function.prototype, 'name', {
- get: function get() {
- return this.toString().match(/^\s*function\s*([^\(\s]*)/)[1];
- }
- });
- }
- if (Object.assign === undefined) {
- Object.assign = function (target) {
- if (target === undefined || target === null) {
- throw new TypeError('Cannot convert undefined or null to object');
- }
- var output = Object(target);
- for (var index = 1; index < arguments.length; index++) {
- var source = arguments[index];
- if (source !== undefined && source !== null) {
- for (var nextKey in source) {
- if (Object.prototype.hasOwnProperty.call(source, nextKey)) {
- output[nextKey] = source[nextKey];
- }
- }
- }
- }
- return output;
- };
- }
- var REVISION = '124dev';
- var MOUSE = {
- LEFT: 0,
- MIDDLE: 1,
- RIGHT: 2,
- ROTATE: 0,
- DOLLY: 1,
- PAN: 2
- };
- var TOUCH = {
- ROTATE: 0,
- PAN: 1,
- DOLLY_PAN: 2,
- DOLLY_ROTATE: 3
- };
- var CullFaceNone = 0;
- var CullFaceBack = 1;
- var CullFaceFront = 2;
- var CullFaceFrontBack = 3;
- var BasicShadowMap = 0;
- var PCFShadowMap = 1;
- var PCFSoftShadowMap = 2;
- var VSMShadowMap = 3;
- var FrontSide = 0;
- var BackSide = 1;
- var DoubleSide = 2;
- var FlatShading = 1;
- var SmoothShading = 2;
- var NoBlending = 0;
- var NormalBlending = 1;
- var AdditiveBlending = 2;
- var SubtractiveBlending = 3;
- var MultiplyBlending = 4;
- var CustomBlending = 5;
- var AddEquation = 100;
- var SubtractEquation = 101;
- var ReverseSubtractEquation = 102;
- var MinEquation = 103;
- var MaxEquation = 104;
- var ZeroFactor = 200;
- var OneFactor = 201;
- var SrcColorFactor = 202;
- var OneMinusSrcColorFactor = 203;
- var SrcAlphaFactor = 204;
- var OneMinusSrcAlphaFactor = 205;
- var DstAlphaFactor = 206;
- var OneMinusDstAlphaFactor = 207;
- var DstColorFactor = 208;
- var OneMinusDstColorFactor = 209;
- var SrcAlphaSaturateFactor = 210;
- var NeverDepth = 0;
- var AlwaysDepth = 1;
- var LessDepth = 2;
- var LessEqualDepth = 3;
- var EqualDepth = 4;
- var GreaterEqualDepth = 5;
- var GreaterDepth = 6;
- var NotEqualDepth = 7;
- var MultiplyOperation = 0;
- var MixOperation = 1;
- var AddOperation = 2;
- var NoToneMapping = 0;
- var LinearToneMapping = 1;
- var ReinhardToneMapping = 2;
- var CineonToneMapping = 3;
- var ACESFilmicToneMapping = 4;
- var CustomToneMapping = 5;
- var UVMapping = 300;
- var CubeReflectionMapping = 301;
- var CubeRefractionMapping = 302;
- var EquirectangularReflectionMapping = 303;
- var EquirectangularRefractionMapping = 304;
- var CubeUVReflectionMapping = 306;
- var CubeUVRefractionMapping = 307;
- var RepeatWrapping = 1000;
- var ClampToEdgeWrapping = 1001;
- var MirroredRepeatWrapping = 1002;
- var NearestFilter = 1003;
- var NearestMipmapNearestFilter = 1004;
- var NearestMipMapNearestFilter = 1004;
- var NearestMipmapLinearFilter = 1005;
- var NearestMipMapLinearFilter = 1005;
- var LinearFilter = 1006;
- var LinearMipmapNearestFilter = 1007;
- var LinearMipMapNearestFilter = 1007;
- var LinearMipmapLinearFilter = 1008;
- var LinearMipMapLinearFilter = 1008;
- var UnsignedByteType = 1009;
- var ByteType = 1010;
- var ShortType = 1011;
- var UnsignedShortType = 1012;
- var IntType = 1013;
- var UnsignedIntType = 1014;
- var FloatType = 1015;
- var HalfFloatType = 1016;
- var UnsignedShort4444Type = 1017;
- var UnsignedShort5551Type = 1018;
- var UnsignedShort565Type = 1019;
- var UnsignedInt248Type = 1020;
- var AlphaFormat = 1021;
- var RGBFormat = 1022;
- var RGBAFormat = 1023;
- var LuminanceFormat = 1024;
- var LuminanceAlphaFormat = 1025;
- var RGBEFormat = RGBAFormat;
- var DepthFormat = 1026;
- var DepthStencilFormat = 1027;
- var RedFormat = 1028;
- var RedIntegerFormat = 1029;
- var RGFormat = 1030;
- var RGIntegerFormat = 1031;
- var RGBIntegerFormat = 1032;
- var RGBAIntegerFormat = 1033;
- var RGB_S3TC_DXT1_Format = 33776;
- var RGBA_S3TC_DXT1_Format = 33777;
- var RGBA_S3TC_DXT3_Format = 33778;
- var RGBA_S3TC_DXT5_Format = 33779;
- var RGB_PVRTC_4BPPV1_Format = 35840;
- var RGB_PVRTC_2BPPV1_Format = 35841;
- var RGBA_PVRTC_4BPPV1_Format = 35842;
- var RGBA_PVRTC_2BPPV1_Format = 35843;
- var RGB_ETC1_Format = 36196;
- var RGB_ETC2_Format = 37492;
- var RGBA_ETC2_EAC_Format = 37496;
- var RGBA_ASTC_4x4_Format = 37808;
- var RGBA_ASTC_5x4_Format = 37809;
- var RGBA_ASTC_5x5_Format = 37810;
- var RGBA_ASTC_6x5_Format = 37811;
- var RGBA_ASTC_6x6_Format = 37812;
- var RGBA_ASTC_8x5_Format = 37813;
- var RGBA_ASTC_8x6_Format = 37814;
- var RGBA_ASTC_8x8_Format = 37815;
- var RGBA_ASTC_10x5_Format = 37816;
- var RGBA_ASTC_10x6_Format = 37817;
- var RGBA_ASTC_10x8_Format = 37818;
- var RGBA_ASTC_10x10_Format = 37819;
- var RGBA_ASTC_12x10_Format = 37820;
- var RGBA_ASTC_12x12_Format = 37821;
- var RGBA_BPTC_Format = 36492;
- var SRGB8_ALPHA8_ASTC_4x4_Format = 37840;
- var SRGB8_ALPHA8_ASTC_5x4_Format = 37841;
- var SRGB8_ALPHA8_ASTC_5x5_Format = 37842;
- var SRGB8_ALPHA8_ASTC_6x5_Format = 37843;
- var SRGB8_ALPHA8_ASTC_6x6_Format = 37844;
- var SRGB8_ALPHA8_ASTC_8x5_Format = 37845;
- var SRGB8_ALPHA8_ASTC_8x6_Format = 37846;
- var SRGB8_ALPHA8_ASTC_8x8_Format = 37847;
- var SRGB8_ALPHA8_ASTC_10x5_Format = 37848;
- var SRGB8_ALPHA8_ASTC_10x6_Format = 37849;
- var SRGB8_ALPHA8_ASTC_10x8_Format = 37850;
- var SRGB8_ALPHA8_ASTC_10x10_Format = 37851;
- var SRGB8_ALPHA8_ASTC_12x10_Format = 37852;
- var SRGB8_ALPHA8_ASTC_12x12_Format = 37853;
- var LoopOnce = 2200;
- var LoopRepeat = 2201;
- var LoopPingPong = 2202;
- var InterpolateDiscrete = 2300;
- var InterpolateLinear = 2301;
- var InterpolateSmooth = 2302;
- var ZeroCurvatureEnding = 2400;
- var ZeroSlopeEnding = 2401;
- var WrapAroundEnding = 2402;
- var NormalAnimationBlendMode = 2500;
- var AdditiveAnimationBlendMode = 2501;
- var TrianglesDrawMode = 0;
- var TriangleStripDrawMode = 1;
- var TriangleFanDrawMode = 2;
- var LinearEncoding = 3000;
- var sRGBEncoding = 3001;
- var GammaEncoding = 3007;
- var RGBEEncoding = 3002;
- var LogLuvEncoding = 3003;
- var RGBM7Encoding = 3004;
- var RGBM16Encoding = 3005;
- var RGBDEncoding = 3006;
- var BasicDepthPacking = 3200;
- var RGBADepthPacking = 3201;
- var TangentSpaceNormalMap = 0;
- var ObjectSpaceNormalMap = 1;
- var ZeroStencilOp = 0;
- var KeepStencilOp = 7680;
- var ReplaceStencilOp = 7681;
- var IncrementStencilOp = 7682;
- var DecrementStencilOp = 7683;
- var IncrementWrapStencilOp = 34055;
- var DecrementWrapStencilOp = 34056;
- var InvertStencilOp = 5386;
- var NeverStencilFunc = 512;
- var LessStencilFunc = 513;
- var EqualStencilFunc = 514;
- var LessEqualStencilFunc = 515;
- var GreaterStencilFunc = 516;
- var NotEqualStencilFunc = 517;
- var GreaterEqualStencilFunc = 518;
- var AlwaysStencilFunc = 519;
- var StaticDrawUsage = 35044;
- var DynamicDrawUsage = 35048;
- var StreamDrawUsage = 35040;
- var StaticReadUsage = 35045;
- var DynamicReadUsage = 35049;
- var StreamReadUsage = 35041;
- var StaticCopyUsage = 35046;
- var DynamicCopyUsage = 35050;
- var StreamCopyUsage = 35042;
- var GLSL1 = '100';
- var GLSL3 = '300 es';
- function EventDispatcher() {}
- Object.assign(EventDispatcher.prototype, {
- addEventListener: function addEventListener(type, listener) {
- if (this._listeners === undefined) this._listeners = {};
- var listeners = this._listeners;
- if (listeners[type] === undefined) {
- listeners[type] = [];
- }
- if (listeners[type].indexOf(listener) === -1) {
- listeners[type].push(listener);
- }
- },
- hasEventListener: function hasEventListener(type, listener) {
- if (this._listeners === undefined) return false;
- var listeners = this._listeners;
- return listeners[type] !== undefined && listeners[type].indexOf(listener) !== -1;
- },
- removeEventListener: function removeEventListener(type, listener) {
- if (this._listeners === undefined) return;
- var listeners = this._listeners;
- var listenerArray = listeners[type];
- if (listenerArray !== undefined) {
- var index = listenerArray.indexOf(listener);
- if (index !== -1) {
- listenerArray.splice(index, 1);
- }
- }
- },
- dispatchEvent: function dispatchEvent(event) {
- if (this._listeners === undefined) return;
- var listeners = this._listeners;
- var listenerArray = listeners[event.type];
- if (listenerArray !== undefined) {
- event.target = this;
- var array = listenerArray.slice(0);
- for (var i = 0, l = array.length; i < l; i++) {
- array[i].call(this, event);
- }
- }
- }
- });
- var _lut = [];
- for (var i = 0; i < 256; i++) {
- _lut[i] = (i < 16 ? '0' : '') + i.toString(16);
- }
- var _seed = 1234567;
- var MathUtils = {
- DEG2RAD: Math.PI / 180,
- RAD2DEG: 180 / Math.PI,
- generateUUID: function generateUUID() {
- var d0 = Math.random() * 0xffffffff | 0;
- var d1 = Math.random() * 0xffffffff | 0;
- var d2 = Math.random() * 0xffffffff | 0;
- var d3 = Math.random() * 0xffffffff | 0;
- var uuid = _lut[d0 & 0xff] + _lut[d0 >> 8 & 0xff] + _lut[d0 >> 16 & 0xff] + _lut[d0 >> 24 & 0xff] + '-' + _lut[d1 & 0xff] + _lut[d1 >> 8 & 0xff] + '-' + _lut[d1 >> 16 & 0x0f | 0x40] + _lut[d1 >> 24 & 0xff] + '-' + _lut[d2 & 0x3f | 0x80] + _lut[d2 >> 8 & 0xff] + '-' + _lut[d2 >> 16 & 0xff] + _lut[d2 >> 24 & 0xff] + _lut[d3 & 0xff] + _lut[d3 >> 8 & 0xff] + _lut[d3 >> 16 & 0xff] + _lut[d3 >> 24 & 0xff];
- return uuid.toUpperCase();
- },
- clamp: function clamp(value, min, max) {
- return Math.max(min, Math.min(max, value));
- },
- euclideanModulo: function euclideanModulo(n, m) {
- return (n % m + m) % m;
- },
- mapLinear: function mapLinear(x, a1, a2, b1, b2) {
- return b1 + (x - a1) * (b2 - b1) / (a2 - a1);
- },
- lerp: function lerp(x, y, t) {
- return (1 - t) * x + t * y;
- },
- smoothstep: function smoothstep(x, min, max) {
- if (x <= min) return 0;
- if (x >= max) return 1;
- x = (x - min) / (max - min);
- return x * x * (3 - 2 * x);
- },
- smootherstep: function smootherstep(x, min, max) {
- if (x <= min) return 0;
- if (x >= max) return 1;
- x = (x - min) / (max - min);
- return x * x * x * (x * (x * 6 - 15) + 10);
- },
- randInt: function randInt(low, high) {
- return low + Math.floor(Math.random() * (high - low + 1));
- },
- randFloat: function randFloat(low, high) {
- return low + Math.random() * (high - low);
- },
- randFloatSpread: function randFloatSpread(range) {
- return range * (0.5 - Math.random());
- },
- seededRandom: function seededRandom(s) {
- if (s !== undefined) _seed = s % 2147483647;
- _seed = _seed * 16807 % 2147483647;
- return (_seed - 1) / 2147483646;
- },
- degToRad: function degToRad(degrees) {
- return degrees * MathUtils.DEG2RAD;
- },
- radToDeg: function radToDeg(radians) {
- return radians * MathUtils.RAD2DEG;
- },
- isPowerOfTwo: function isPowerOfTwo(value) {
- return (value & value - 1) === 0 && value !== 0;
- },
- ceilPowerOfTwo: function ceilPowerOfTwo(value) {
- return Math.pow(2, Math.ceil(Math.log(value) / Math.LN2));
- },
- floorPowerOfTwo: function floorPowerOfTwo(value) {
- return Math.pow(2, Math.floor(Math.log(value) / Math.LN2));
- },
- setQuaternionFromProperEuler: function setQuaternionFromProperEuler(q, a, b, c, order) {
- var cos = Math.cos;
- var sin = Math.sin;
- var c2 = cos(b / 2);
- var s2 = sin(b / 2);
- var c13 = cos((a + c) / 2);
- var s13 = sin((a + c) / 2);
- var c1_3 = cos((a - c) / 2);
- var s1_3 = sin((a - c) / 2);
- var c3_1 = cos((c - a) / 2);
- var s3_1 = sin((c - a) / 2);
- switch (order) {
- case 'XYX':
- q.set(c2 * s13, s2 * c1_3, s2 * s1_3, c2 * c13);
- break;
- case 'YZY':
- q.set(s2 * s1_3, c2 * s13, s2 * c1_3, c2 * c13);
- break;
- case 'ZXZ':
- q.set(s2 * c1_3, s2 * s1_3, c2 * s13, c2 * c13);
- break;
- case 'XZX':
- q.set(c2 * s13, s2 * s3_1, s2 * c3_1, c2 * c13);
- break;
- case 'YXY':
- q.set(s2 * c3_1, c2 * s13, s2 * s3_1, c2 * c13);
- break;
- case 'ZYZ':
- q.set(s2 * s3_1, s2 * c3_1, c2 * s13, c2 * c13);
- break;
- default:
- console.warn('THREE.MathUtils: .setQuaternionFromProperEuler() encountered an unknown order: ' + order);
- }
- }
- };
- function _defineProperties(target, props) {
- for (var i = 0; i < props.length; i++) {
- var descriptor = props[i];
- descriptor.enumerable = descriptor.enumerable || false;
- descriptor.configurable = true;
- if ("value" in descriptor) descriptor.writable = true;
- Object.defineProperty(target, descriptor.key, descriptor);
- }
- }
- function _createClass(Constructor, protoProps, staticProps) {
- if (protoProps) _defineProperties(Constructor.prototype, protoProps);
- if (staticProps) _defineProperties(Constructor, staticProps);
- return Constructor;
- }
- function _inheritsLoose(subClass, superClass) {
- subClass.prototype = Object.create(superClass.prototype);
- subClass.prototype.constructor = subClass;
- subClass.__proto__ = superClass;
- }
- function _assertThisInitialized(self) {
- if (self === void 0) {
- throw new ReferenceError("this hasn't been initialised - super() hasn't been called");
- }
- return self;
- }
- var Vector2 = /*#__PURE__*/function () {
- function Vector2(x, y) {
- if (x === void 0) {
- x = 0;
- }
- if (y === void 0) {
- y = 0;
- }
- Object.defineProperty(this, 'isVector2', {
- value: true
- });
- this.x = x;
- this.y = y;
- }
- var _proto = Vector2.prototype;
- _proto.set = function set(x, y) {
- this.x = x;
- this.y = y;
- return this;
- };
- _proto.setScalar = function setScalar(scalar) {
- this.x = scalar;
- this.y = scalar;
- return this;
- };
- _proto.setX = function setX(x) {
- this.x = x;
- return this;
- };
- _proto.setY = function setY(y) {
- this.y = y;
- return this;
- };
- _proto.setComponent = function setComponent(index, value) {
- switch (index) {
- case 0:
- this.x = value;
- break;
- case 1:
- this.y = value;
- break;
- default:
- throw new Error('index is out of range: ' + index);
- }
- return this;
- };
- _proto.getComponent = function getComponent(index) {
- switch (index) {
- case 0:
- return this.x;
- case 1:
- return this.y;
- default:
- throw new Error('index is out of range: ' + index);
- }
- };
- _proto.clone = function clone() {
- return new this.constructor(this.x, this.y);
- };
- _proto.copy = function copy(v) {
- this.x = v.x;
- this.y = v.y;
- return this;
- };
- _proto.add = function add(v, w) {
- if (w !== undefined) {
- console.warn('THREE.Vector2: .add() now only accepts one argument. Use .addVectors( a, b ) instead.');
- return this.addVectors(v, w);
- }
- this.x += v.x;
- this.y += v.y;
- return this;
- };
- _proto.addScalar = function addScalar(s) {
- this.x += s;
- this.y += s;
- return this;
- };
- _proto.addVectors = function addVectors(a, b) {
- this.x = a.x + b.x;
- this.y = a.y + b.y;
- return this;
- };
- _proto.addScaledVector = function addScaledVector(v, s) {
- this.x += v.x * s;
- this.y += v.y * s;
- return this;
- };
- _proto.sub = function sub(v, w) {
- if (w !== undefined) {
- console.warn('THREE.Vector2: .sub() now only accepts one argument. Use .subVectors( a, b ) instead.');
- return this.subVectors(v, w);
- }
- this.x -= v.x;
- this.y -= v.y;
- return this;
- };
- _proto.subScalar = function subScalar(s) {
- this.x -= s;
- this.y -= s;
- return this;
- };
- _proto.subVectors = function subVectors(a, b) {
- this.x = a.x - b.x;
- this.y = a.y - b.y;
- return this;
- };
- _proto.multiply = function multiply(v) {
- this.x *= v.x;
- this.y *= v.y;
- return this;
- };
- _proto.multiplyScalar = function multiplyScalar(scalar) {
- this.x *= scalar;
- this.y *= scalar;
- return this;
- };
- _proto.divide = function divide(v) {
- this.x /= v.x;
- this.y /= v.y;
- return this;
- };
- _proto.divideScalar = function divideScalar(scalar) {
- return this.multiplyScalar(1 / scalar);
- };
- _proto.applyMatrix3 = function applyMatrix3(m) {
- var x = this.x,
- y = this.y;
- var e = m.elements;
- this.x = e[0] * x + e[3] * y + e[6];
- this.y = e[1] * x + e[4] * y + e[7];
- return this;
- };
- _proto.min = function min(v) {
- this.x = Math.min(this.x, v.x);
- this.y = Math.min(this.y, v.y);
- return this;
- };
- _proto.max = function max(v) {
- this.x = Math.max(this.x, v.x);
- this.y = Math.max(this.y, v.y);
- return this;
- };
- _proto.clamp = function clamp(min, max) {
- this.x = Math.max(min.x, Math.min(max.x, this.x));
- this.y = Math.max(min.y, Math.min(max.y, this.y));
- return this;
- };
- _proto.clampScalar = function clampScalar(minVal, maxVal) {
- this.x = Math.max(minVal, Math.min(maxVal, this.x));
- this.y = Math.max(minVal, Math.min(maxVal, this.y));
- return this;
- };
- _proto.clampLength = function clampLength(min, max) {
- var length = this.length();
- return this.divideScalar(length || 1).multiplyScalar(Math.max(min, Math.min(max, length)));
- };
- _proto.floor = function floor() {
- this.x = Math.floor(this.x);
- this.y = Math.floor(this.y);
- return this;
- };
- _proto.ceil = function ceil() {
- this.x = Math.ceil(this.x);
- this.y = Math.ceil(this.y);
- return this;
- };
- _proto.round = function round() {
- this.x = Math.round(this.x);
- this.y = Math.round(this.y);
- return this;
- };
- _proto.roundToZero = function roundToZero() {
- this.x = this.x < 0 ? Math.ceil(this.x) : Math.floor(this.x);
- this.y = this.y < 0 ? Math.ceil(this.y) : Math.floor(this.y);
- return this;
- };
- _proto.negate = function negate() {
- this.x = -this.x;
- this.y = -this.y;
- return this;
- };
- _proto.dot = function dot(v) {
- return this.x * v.x + this.y * v.y;
- };
- _proto.cross = function cross(v) {
- return this.x * v.y - this.y * v.x;
- };
- _proto.lengthSq = function lengthSq() {
- return this.x * this.x + this.y * this.y;
- };
- _proto.length = function length() {
- return Math.sqrt(this.x * this.x + this.y * this.y);
- };
- _proto.manhattanLength = function manhattanLength() {
- return Math.abs(this.x) + Math.abs(this.y);
- };
- _proto.normalize = function normalize() {
- return this.divideScalar(this.length() || 1);
- };
- _proto.angle = function angle() {
- var angle = Math.atan2(-this.y, -this.x) + Math.PI;
- return angle;
- };
- _proto.distanceTo = function distanceTo(v) {
- return Math.sqrt(this.distanceToSquared(v));
- };
- _proto.distanceToSquared = function distanceToSquared(v) {
- var dx = this.x - v.x,
- dy = this.y - v.y;
- return dx * dx + dy * dy;
- };
- _proto.manhattanDistanceTo = function manhattanDistanceTo(v) {
- return Math.abs(this.x - v.x) + Math.abs(this.y - v.y);
- };
- _proto.setLength = function setLength(length) {
- return this.normalize().multiplyScalar(length);
- };
- _proto.lerp = function lerp(v, alpha) {
- this.x += (v.x - this.x) * alpha;
- this.y += (v.y - this.y) * alpha;
- return this;
- };
- _proto.lerpVectors = function lerpVectors(v1, v2, alpha) {
- this.x = v1.x + (v2.x - v1.x) * alpha;
- this.y = v1.y + (v2.y - v1.y) * alpha;
- return this;
- };
- _proto.equals = function equals(v) {
- return v.x === this.x && v.y === this.y;
- };
- _proto.fromArray = function fromArray(array, offset) {
- if (offset === void 0) {
- offset = 0;
- }
- this.x = array[offset];
- this.y = array[offset + 1];
- return this;
- };
- _proto.toArray = function toArray(array, offset) {
- if (array === void 0) {
- array = [];
- }
- if (offset === void 0) {
- offset = 0;
- }
- array[offset] = this.x;
- array[offset + 1] = this.y;
- return array;
- };
- _proto.fromBufferAttribute = function fromBufferAttribute(attribute, index, offset) {
- if (offset !== undefined) {
- console.warn('THREE.Vector2: offset has been removed from .fromBufferAttribute().');
- }
- this.x = attribute.getX(index);
- this.y = attribute.getY(index);
- return this;
- };
- _proto.rotateAround = function rotateAround(center, angle) {
- var c = Math.cos(angle),
- s = Math.sin(angle);
- var x = this.x - center.x;
- var y = this.y - center.y;
- this.x = x * c - y * s + center.x;
- this.y = x * s + y * c + center.y;
- return this;
- };
- _proto.random = function random() {
- this.x = Math.random();
- this.y = Math.random();
- return this;
- };
- _createClass(Vector2, [{
- key: "width",
- get: function get() {
- return this.x;
- },
- set: function set(value) {
- this.x = value;
- }
- }, {
- key: "height",
- get: function get() {
- return this.y;
- },
- set: function set(value) {
- this.y = value;
- }
- }]);
- return Vector2;
- }();
- var Matrix3 = /*#__PURE__*/function () {
- function Matrix3() {
- Object.defineProperty(this, 'isMatrix3', {
- value: true
- });
- this.elements = [1, 0, 0, 0, 1, 0, 0, 0, 1];
- if (arguments.length > 0) {
- console.error('THREE.Matrix3: the constructor no longer reads arguments. use .set() instead.');
- }
- }
- var _proto = Matrix3.prototype;
- _proto.set = function set(n11, n12, n13, n21, n22, n23, n31, n32, n33) {
- var te = this.elements;
- te[0] = n11;
- te[1] = n21;
- te[2] = n31;
- te[3] = n12;
- te[4] = n22;
- te[5] = n32;
- te[6] = n13;
- te[7] = n23;
- te[8] = n33;
- return this;
- };
- _proto.identity = function identity() {
- this.set(1, 0, 0, 0, 1, 0, 0, 0, 1);
- return this;
- };
- _proto.clone = function clone() {
- return new this.constructor().fromArray(this.elements);
- };
- _proto.copy = function copy(m) {
- var te = this.elements;
- var me = m.elements;
- te[0] = me[0];
- te[1] = me[1];
- te[2] = me[2];
- te[3] = me[3];
- te[4] = me[4];
- te[5] = me[5];
- te[6] = me[6];
- te[7] = me[7];
- te[8] = me[8];
- return this;
- };
- _proto.extractBasis = function extractBasis(xAxis, yAxis, zAxis) {
- xAxis.setFromMatrix3Column(this, 0);
- yAxis.setFromMatrix3Column(this, 1);
- zAxis.setFromMatrix3Column(this, 2);
- return this;
- };
- _proto.setFromMatrix4 = function setFromMatrix4(m) {
- var me = m.elements;
- this.set(me[0], me[4], me[8], me[1], me[5], me[9], me[2], me[6], me[10]);
- return this;
- };
- _proto.multiply = function multiply(m) {
- return this.multiplyMatrices(this, m);
- };
- _proto.premultiply = function premultiply(m) {
- return this.multiplyMatrices(m, this);
- };
- _proto.multiplyMatrices = function multiplyMatrices(a, b) {
- var ae = a.elements;
- var be = b.elements;
- var te = this.elements;
- var a11 = ae[0],
- a12 = ae[3],
- a13 = ae[6];
- var a21 = ae[1],
- a22 = ae[4],
- a23 = ae[7];
- var a31 = ae[2],
- a32 = ae[5],
- a33 = ae[8];
- var b11 = be[0],
- b12 = be[3],
- b13 = be[6];
- var b21 = be[1],
- b22 = be[4],
- b23 = be[7];
- var b31 = be[2],
- b32 = be[5],
- b33 = be[8];
- te[0] = a11 * b11 + a12 * b21 + a13 * b31;
- te[3] = a11 * b12 + a12 * b22 + a13 * b32;
- te[6] = a11 * b13 + a12 * b23 + a13 * b33;
- te[1] = a21 * b11 + a22 * b21 + a23 * b31;
- te[4] = a21 * b12 + a22 * b22 + a23 * b32;
- te[7] = a21 * b13 + a22 * b23 + a23 * b33;
- te[2] = a31 * b11 + a32 * b21 + a33 * b31;
- te[5] = a31 * b12 + a32 * b22 + a33 * b32;
- te[8] = a31 * b13 + a32 * b23 + a33 * b33;
- return this;
- };
- _proto.multiplyScalar = function multiplyScalar(s) {
- var te = this.elements;
- te[0] *= s;
- te[3] *= s;
- te[6] *= s;
- te[1] *= s;
- te[4] *= s;
- te[7] *= s;
- te[2] *= s;
- te[5] *= s;
- te[8] *= s;
- return this;
- };
- _proto.determinant = function determinant() {
- var te = this.elements;
- var a = te[0],
- b = te[1],
- c = te[2],
- d = te[3],
- e = te[4],
- f = te[5],
- g = te[6],
- h = te[7],
- i = te[8];
- return a * e * i - a * f * h - b * d * i + b * f * g + c * d * h - c * e * g;
- };
- _proto.invert = function invert() {
- var te = this.elements,
- n11 = te[0],
- n21 = te[1],
- n31 = te[2],
- n12 = te[3],
- n22 = te[4],
- n32 = te[5],
- n13 = te[6],
- n23 = te[7],
- n33 = te[8],
- t11 = n33 * n22 - n32 * n23,
- t12 = n32 * n13 - n33 * n12,
- t13 = n23 * n12 - n22 * n13,
- det = n11 * t11 + n21 * t12 + n31 * t13;
- if (det === 0) return this.set(0, 0, 0, 0, 0, 0, 0, 0, 0);
- var detInv = 1 / det;
- te[0] = t11 * detInv;
- te[1] = (n31 * n23 - n33 * n21) * detInv;
- te[2] = (n32 * n21 - n31 * n22) * detInv;
- te[3] = t12 * detInv;
- te[4] = (n33 * n11 - n31 * n13) * detInv;
- te[5] = (n31 * n12 - n32 * n11) * detInv;
- te[6] = t13 * detInv;
- te[7] = (n21 * n13 - n23 * n11) * detInv;
- te[8] = (n22 * n11 - n21 * n12) * detInv;
- return this;
- };
- _proto.transpose = function transpose() {
- var tmp;
- var m = this.elements;
- tmp = m[1];
- m[1] = m[3];
- m[3] = tmp;
- tmp = m[2];
- m[2] = m[6];
- m[6] = tmp;
- tmp = m[5];
- m[5] = m[7];
- m[7] = tmp;
- return this;
- };
- _proto.getNormalMatrix = function getNormalMatrix(matrix4) {
- return this.setFromMatrix4(matrix4).copy(this).invert().transpose();
- };
- _proto.transposeIntoArray = function transposeIntoArray(r) {
- var m = this.elements;
- r[0] = m[0];
- r[1] = m[3];
- r[2] = m[6];
- r[3] = m[1];
- r[4] = m[4];
- r[5] = m[7];
- r[6] = m[2];
- r[7] = m[5];
- r[8] = m[8];
- return this;
- };
- _proto.setUvTransform = function setUvTransform(tx, ty, sx, sy, rotation, cx, cy) {
- var c = Math.cos(rotation);
- var s = Math.sin(rotation);
- this.set(sx * c, sx * s, -sx * (c * cx + s * cy) + cx + tx, -sy * s, sy * c, -sy * (-s * cx + c * cy) + cy + ty, 0, 0, 1);
- return this;
- };
- _proto.scale = function scale(sx, sy) {
- var te = this.elements;
- te[0] *= sx;
- te[3] *= sx;
- te[6] *= sx;
- te[1] *= sy;
- te[4] *= sy;
- te[7] *= sy;
- return this;
- };
- _proto.rotate = function rotate(theta) {
- var c = Math.cos(theta);
- var s = Math.sin(theta);
- var te = this.elements;
- var a11 = te[0],
- a12 = te[3],
- a13 = te[6];
- var a21 = te[1],
- a22 = te[4],
- a23 = te[7];
- te[0] = c * a11 + s * a21;
- te[3] = c * a12 + s * a22;
- te[6] = c * a13 + s * a23;
- te[1] = -s * a11 + c * a21;
- te[4] = -s * a12 + c * a22;
- te[7] = -s * a13 + c * a23;
- return this;
- };
- _proto.translate = function translate(tx, ty) {
- var te = this.elements;
- te[0] += tx * te[2];
- te[3] += tx * te[5];
- te[6] += tx * te[8];
- te[1] += ty * te[2];
- te[4] += ty * te[5];
- te[7] += ty * te[8];
- return this;
- };
- _proto.equals = function equals(matrix) {
- var te = this.elements;
- var me = matrix.elements;
- for (var i = 0; i < 9; i++) {
- if (te[i] !== me[i]) return false;
- }
- return true;
- };
- _proto.fromArray = function fromArray(array, offset) {
- if (offset === void 0) {
- offset = 0;
- }
- for (var i = 0; i < 9; i++) {
- this.elements[i] = array[i + offset];
- }
- return this;
- };
- _proto.toArray = function toArray(array, offset) {
- if (array === void 0) {
- array = [];
- }
- if (offset === void 0) {
- offset = 0;
- }
- var te = this.elements;
- array[offset] = te[0];
- array[offset + 1] = te[1];
- array[offset + 2] = te[2];
- array[offset + 3] = te[3];
- array[offset + 4] = te[4];
- array[offset + 5] = te[5];
- array[offset + 6] = te[6];
- array[offset + 7] = te[7];
- array[offset + 8] = te[8];
- return array;
- };
- return Matrix3;
- }();
- var _canvas;
- var ImageUtils = {
- getDataURL: function getDataURL(image) {
- if (/^data:/i.test(image.src)) {
- return image.src;
- }
- if (typeof HTMLCanvasElement == 'undefined') {
- return image.src;
- }
- var canvas;
- if (image instanceof HTMLCanvasElement) {
- canvas = image;
- } else {
- if (_canvas === undefined) _canvas = document.createElementNS('http://www.w3.org/1999/xhtml', 'canvas');
- _canvas.width = image.width;
- _canvas.height = image.height;
- var context = _canvas.getContext('2d');
- if (image instanceof ImageData) {
- context.putImageData(image, 0, 0);
- } else {
- context.drawImage(image, 0, 0, image.width, image.height);
- }
- canvas = _canvas;
- }
- if (canvas.width > 2048 || canvas.height > 2048) {
- return canvas.toDataURL('image/jpeg', 0.6);
- } else {
- return canvas.toDataURL('image/png');
- }
- }
- };
- var textureId = 0;
- function Texture(image, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, encoding) {
- if (image === void 0) {
- image = Texture.DEFAULT_IMAGE;
- }
- if (mapping === void 0) {
- mapping = Texture.DEFAULT_MAPPING;
- }
- if (wrapS === void 0) {
- wrapS = ClampToEdgeWrapping;
- }
- if (wrapT === void 0) {
- wrapT = ClampToEdgeWrapping;
- }
- if (magFilter === void 0) {
- magFilter = LinearFilter;
- }
- if (minFilter === void 0) {
- minFilter = LinearMipmapLinearFilter;
- }
- if (format === void 0) {
- format = RGBAFormat;
- }
- if (type === void 0) {
- type = UnsignedByteType;
- }
- if (anisotropy === void 0) {
- anisotropy = 1;
- }
- if (encoding === void 0) {
- encoding = LinearEncoding;
- }
- Object.defineProperty(this, 'id', {
- value: textureId++
- });
- this.uuid = MathUtils.generateUUID();
- this.name = '';
- this.image = image;
- this.mipmaps = [];
- this.mapping = mapping;
- this.wrapS = wrapS;
- this.wrapT = wrapT;
- this.magFilter = magFilter;
- this.minFilter = minFilter;
- this.anisotropy = anisotropy;
- this.format = format;
- this.internalFormat = null;
- this.type = type;
- this.offset = new Vector2(0, 0);
- this.repeat = new Vector2(1, 1);
- this.center = new Vector2(0, 0);
- this.rotation = 0;
- this.matrixAutoUpdate = true;
- this.matrix = new Matrix3();
- this.generateMipmaps = true;
- this.premultiplyAlpha = false;
- this.flipY = true;
- this.unpackAlignment = 4;
- this.encoding = encoding;
- this.version = 0;
- this.onUpdate = null;
- }
- Texture.DEFAULT_IMAGE = undefined;
- Texture.DEFAULT_MAPPING = UVMapping;
- Texture.prototype = Object.assign(Object.create(EventDispatcher.prototype), {
- constructor: Texture,
- isTexture: true,
- updateMatrix: function updateMatrix() {
- this.matrix.setUvTransform(this.offset.x, this.offset.y, this.repeat.x, this.repeat.y, this.rotation, this.center.x, this.center.y);
- },
- clone: function clone() {
- return new this.constructor().copy(this);
- },
- copy: function copy(source) {
- this.name = source.name;
- this.image = source.image;
- this.mipmaps = source.mipmaps.slice(0);
- this.mapping = source.mapping;
- this.wrapS = source.wrapS;
- this.wrapT = source.wrapT;
- this.magFilter = source.magFilter;
- this.minFilter = source.minFilter;
- this.anisotropy = source.anisotropy;
- this.format = source.format;
- this.internalFormat = source.internalFormat;
- this.type = source.type;
- this.offset.copy(source.offset);
- this.repeat.copy(source.repeat);
- this.center.copy(source.center);
- this.rotation = source.rotation;
- this.matrixAutoUpdate = source.matrixAutoUpdate;
- this.matrix.copy(source.matrix);
- this.generateMipmaps = source.generateMipmaps;
- this.premultiplyAlpha = source.premultiplyAlpha;
- this.flipY = source.flipY;
- this.unpackAlignment = source.unpackAlignment;
- this.encoding = source.encoding;
- return this;
- },
- toJSON: function toJSON(meta) {
- var isRootObject = meta === undefined || typeof meta === 'string';
- if (!isRootObject && meta.textures[this.uuid] !== undefined) {
- return meta.textures[this.uuid];
- }
- var output = {
- metadata: {
- version: 4.5,
- type: 'Texture',
- generator: 'Texture.toJSON'
- },
- uuid: this.uuid,
- name: this.name,
- mapping: this.mapping,
- repeat: [this.repeat.x, this.repeat.y],
- offset: [this.offset.x, this.offset.y],
- center: [this.center.x, this.center.y],
- rotation: this.rotation,
- wrap: [this.wrapS, this.wrapT],
- format: this.format,
- type: this.type,
- encoding: this.encoding,
- minFilter: this.minFilter,
- magFilter: this.magFilter,
- anisotropy: this.anisotropy,
- flipY: this.flipY,
- premultiplyAlpha: this.premultiplyAlpha,
- unpackAlignment: this.unpackAlignment
- };
- if (this.image !== undefined) {
- var image = this.image;
- if (image.uuid === undefined) {
- image.uuid = MathUtils.generateUUID();
- }
- if (!isRootObject && meta.images[image.uuid] === undefined) {
- var url;
- if (Array.isArray(image)) {
- url = [];
- for (var i = 0, l = image.length; i < l; i++) {
- if (image[i].isDataTexture) {
- url.push(serializeImage(image[i].image));
- } else {
- url.push(serializeImage(image[i]));
- }
- }
- } else {
- url = serializeImage(image);
- }
- meta.images[image.uuid] = {
- uuid: image.uuid,
- url: url
- };
- }
- output.image = image.uuid;
- }
- if (!isRootObject) {
- meta.textures[this.uuid] = output;
- }
- return output;
- },
- dispose: function dispose() {
- this.dispatchEvent({
- type: 'dispose'
- });
- },
- transformUv: function transformUv(uv) {
- if (this.mapping !== UVMapping) return uv;
- uv.applyMatrix3(this.matrix);
- if (uv.x < 0 || uv.x > 1) {
- switch (this.wrapS) {
- case RepeatWrapping:
- uv.x = uv.x - Math.floor(uv.x);
- break;
- case ClampToEdgeWrapping:
- uv.x = uv.x < 0 ? 0 : 1;
- break;
- case MirroredRepeatWrapping:
- if (Math.abs(Math.floor(uv.x) % 2) === 1) {
- uv.x = Math.ceil(uv.x) - uv.x;
- } else {
- uv.x = uv.x - Math.floor(uv.x);
- }
- break;
- }
- }
- if (uv.y < 0 || uv.y > 1) {
- switch (this.wrapT) {
- case RepeatWrapping:
- uv.y = uv.y - Math.floor(uv.y);
- break;
- case ClampToEdgeWrapping:
- uv.y = uv.y < 0 ? 0 : 1;
- break;
- case MirroredRepeatWrapping:
- if (Math.abs(Math.floor(uv.y) % 2) === 1) {
- uv.y = Math.ceil(uv.y) - uv.y;
- } else {
- uv.y = uv.y - Math.floor(uv.y);
- }
- break;
- }
- }
- if (this.flipY) {
- uv.y = 1 - uv.y;
- }
- return uv;
- }
- });
- Object.defineProperty(Texture.prototype, 'needsUpdate', {
- set: function set(value) {
- if (value === true) this.version++;
- }
- });
- function serializeImage(image) {
- if (typeof HTMLImageElement !== 'undefined' && image instanceof HTMLImageElement || typeof HTMLCanvasElement !== 'undefined' && image instanceof HTMLCanvasElement || typeof ImageBitmap !== 'undefined' && image instanceof ImageBitmap) {
- return ImageUtils.getDataURL(image);
- } else {
- if (image.data) {
- return {
- data: Array.prototype.slice.call(image.data),
- width: image.width,
- height: image.height,
- type: image.data.constructor.name
- };
- } else {
- console.warn('THREE.Texture: Unable to serialize Texture.');
- return {};
- }
- }
- }
- var Vector4 = /*#__PURE__*/function () {
- function Vector4(x, y, z, w) {
- if (x === void 0) {
- x = 0;
- }
- if (y === void 0) {
- y = 0;
- }
- if (z === void 0) {
- z = 0;
- }
- if (w === void 0) {
- w = 1;
- }
- Object.defineProperty(this, 'isVector4', {
- value: true
- });
- this.x = x;
- this.y = y;
- this.z = z;
- this.w = w;
- }
- var _proto = Vector4.prototype;
- _proto.set = function set(x, y, z, w) {
- this.x = x;
- this.y = y;
- this.z = z;
- this.w = w;
- return this;
- };
- _proto.setScalar = function setScalar(scalar) {
- this.x = scalar;
- this.y = scalar;
- this.z = scalar;
- this.w = scalar;
- return this;
- };
- _proto.setX = function setX(x) {
- this.x = x;
- return this;
- };
- _proto.setY = function setY(y) {
- this.y = y;
- return this;
- };
- _proto.setZ = function setZ(z) {
- this.z = z;
- return this;
- };
- _proto.setW = function setW(w) {
- this.w = w;
- return this;
- };
- _proto.setComponent = function setComponent(index, value) {
- switch (index) {
- case 0:
- this.x = value;
- break;
- case 1:
- this.y = value;
- break;
- case 2:
- this.z = value;
- break;
- case 3:
- this.w = value;
- break;
- default:
- throw new Error('index is out of range: ' + index);
- }
- return this;
- };
- _proto.getComponent = function getComponent(index) {
- switch (index) {
- case 0:
- return this.x;
- case 1:
- return this.y;
- case 2:
- return this.z;
- case 3:
- return this.w;
- default:
- throw new Error('index is out of range: ' + index);
- }
- };
- _proto.clone = function clone() {
- return new this.constructor(this.x, this.y, this.z, this.w);
- };
- _proto.copy = function copy(v) {
- this.x = v.x;
- this.y = v.y;
- this.z = v.z;
- this.w = v.w !== undefined ? v.w : 1;
- return this;
- };
- _proto.add = function add(v, w) {
- if (w !== undefined) {
- console.warn('THREE.Vector4: .add() now only accepts one argument. Use .addVectors( a, b ) instead.');
- return this.addVectors(v, w);
- }
- this.x += v.x;
- this.y += v.y;
- this.z += v.z;
- this.w += v.w;
- return this;
- };
- _proto.addScalar = function addScalar(s) {
- this.x += s;
- this.y += s;
- this.z += s;
- this.w += s;
- return this;
- };
- _proto.addVectors = function addVectors(a, b) {
- this.x = a.x + b.x;
- this.y = a.y + b.y;
- this.z = a.z + b.z;
- this.w = a.w + b.w;
- return this;
- };
- _proto.addScaledVector = function addScaledVector(v, s) {
- this.x += v.x * s;
- this.y += v.y * s;
- this.z += v.z * s;
- this.w += v.w * s;
- return this;
- };
- _proto.sub = function sub(v, w) {
- if (w !== undefined) {
- console.warn('THREE.Vector4: .sub() now only accepts one argument. Use .subVectors( a, b ) instead.');
- return this.subVectors(v, w);
- }
- this.x -= v.x;
- this.y -= v.y;
- this.z -= v.z;
- this.w -= v.w;
- return this;
- };
- _proto.subScalar = function subScalar(s) {
- this.x -= s;
- this.y -= s;
- this.z -= s;
- this.w -= s;
- return this;
- };
- _proto.subVectors = function subVectors(a, b) {
- this.x = a.x - b.x;
- this.y = a.y - b.y;
- this.z = a.z - b.z;
- this.w = a.w - b.w;
- return this;
- };
- _proto.multiplyScalar = function multiplyScalar(scalar) {
- this.x *= scalar;
- this.y *= scalar;
- this.z *= scalar;
- this.w *= scalar;
- return this;
- };
- _proto.applyMatrix4 = function applyMatrix4(m) {
- var x = this.x,
- y = this.y,
- z = this.z,
- w = this.w;
- var e = m.elements;
- this.x = e[0] * x + e[4] * y + e[8] * z + e[12] * w;
- this.y = e[1] * x + e[5] * y + e[9] * z + e[13] * w;
- this.z = e[2] * x + e[6] * y + e[10] * z + e[14] * w;
- this.w = e[3] * x + e[7] * y + e[11] * z + e[15] * w;
- return this;
- };
- _proto.divideScalar = function divideScalar(scalar) {
- return this.multiplyScalar(1 / scalar);
- };
- _proto.setAxisAngleFromQuaternion = function setAxisAngleFromQuaternion(q) {
- this.w = 2 * Math.acos(q.w);
- var s = Math.sqrt(1 - q.w * q.w);
- if (s < 0.0001) {
- this.x = 1;
- this.y = 0;
- this.z = 0;
- } else {
- this.x = q.x / s;
- this.y = q.y / s;
- this.z = q.z / s;
- }
- return this;
- };
- _proto.setAxisAngleFromRotationMatrix = function setAxisAngleFromRotationMatrix(m) {
- var angle, x, y, z;
- var epsilon = 0.01,
- epsilon2 = 0.1,
- te = m.elements,
- m11 = te[0],
- m12 = te[4],
- m13 = te[8],
- m21 = te[1],
- m22 = te[5],
- m23 = te[9],
- m31 = te[2],
- m32 = te[6],
- m33 = te[10];
- if (Math.abs(m12 - m21) < epsilon && Math.abs(m13 - m31) < epsilon && Math.abs(m23 - m32) < epsilon) {
- if (Math.abs(m12 + m21) < epsilon2 && Math.abs(m13 + m31) < epsilon2 && Math.abs(m23 + m32) < epsilon2 && Math.abs(m11 + m22 + m33 - 3) < epsilon2) {
- this.set(1, 0, 0, 0);
- return this;
- }
- angle = Math.PI;
- var xx = (m11 + 1) / 2;
- var yy = (m22 + 1) / 2;
- var zz = (m33 + 1) / 2;
- var xy = (m12 + m21) / 4;
- var xz = (m13 + m31) / 4;
- var yz = (m23 + m32) / 4;
- if (xx > yy && xx > zz) {
- if (xx < epsilon) {
- x = 0;
- y = 0.707106781;
- z = 0.707106781;
- } else {
- x = Math.sqrt(xx);
- y = xy / x;
- z = xz / x;
- }
- } else if (yy > zz) {
- if (yy < epsilon) {
- x = 0.707106781;
- y = 0;
- z = 0.707106781;
- } else {
- y = Math.sqrt(yy);
- x = xy / y;
- z = yz / y;
- }
- } else {
- if (zz < epsilon) {
- x = 0.707106781;
- y = 0.707106781;
- z = 0;
- } else {
- z = Math.sqrt(zz);
- x = xz / z;
- y = yz / z;
- }
- }
- this.set(x, y, z, angle);
- return this;
- }
- var s = Math.sqrt((m32 - m23) * (m32 - m23) + (m13 - m31) * (m13 - m31) + (m21 - m12) * (m21 - m12));
- if (Math.abs(s) < 0.001) s = 1;
- this.x = (m32 - m23) / s;
- this.y = (m13 - m31) / s;
- this.z = (m21 - m12) / s;
- this.w = Math.acos((m11 + m22 + m33 - 1) / 2);
- return this;
- };
- _proto.min = function min(v) {
- this.x = Math.min(this.x, v.x);
- this.y = Math.min(this.y, v.y);
- this.z = Math.min(this.z, v.z);
- this.w = Math.min(this.w, v.w);
- return this;
- };
- _proto.max = function max(v) {
- this.x = Math.max(this.x, v.x);
- this.y = Math.max(this.y, v.y);
- this.z = Math.max(this.z, v.z);
- this.w = Math.max(this.w, v.w);
- return this;
- };
- _proto.clamp = function clamp(min, max) {
- this.x = Math.max(min.x, Math.min(max.x, this.x));
- this.y = Math.max(min.y, Math.min(max.y, this.y));
- this.z = Math.max(min.z, Math.min(max.z, this.z));
- this.w = Math.max(min.w, Math.min(max.w, this.w));
- return this;
- };
- _proto.clampScalar = function clampScalar(minVal, maxVal) {
- this.x = Math.max(minVal, Math.min(maxVal, this.x));
- this.y = Math.max(minVal, Math.min(maxVal, this.y));
- this.z = Math.max(minVal, Math.min(maxVal, this.z));
- this.w = Math.max(minVal, Math.min(maxVal, this.w));
- return this;
- };
- _proto.clampLength = function clampLength(min, max) {
- var length = this.length();
- return this.divideScalar(length || 1).multiplyScalar(Math.max(min, Math.min(max, length)));
- };
- _proto.floor = function floor() {
- this.x = Math.floor(this.x);
- this.y = Math.floor(this.y);
- this.z = Math.floor(this.z);
- this.w = Math.floor(this.w);
- return this;
- };
- _proto.ceil = function ceil() {
- this.x = Math.ceil(this.x);
- this.y = Math.ceil(this.y);
- this.z = Math.ceil(this.z);
- this.w = Math.ceil(this.w);
- return this;
- };
- _proto.round = function round() {
- this.x = Math.round(this.x);
- this.y = Math.round(this.y);
- this.z = Math.round(this.z);
- this.w = Math.round(this.w);
- return this;
- };
- _proto.roundToZero = function roundToZero() {
- this.x = this.x < 0 ? Math.ceil(this.x) : Math.floor(this.x);
- this.y = this.y < 0 ? Math.ceil(this.y) : Math.floor(this.y);
- this.z = this.z < 0 ? Math.ceil(this.z) : Math.floor(this.z);
- this.w = this.w < 0 ? Math.ceil(this.w) : Math.floor(this.w);
- return this;
- };
- _proto.negate = function negate() {
- this.x = -this.x;
- this.y = -this.y;
- this.z = -this.z;
- this.w = -this.w;
- return this;
- };
- _proto.dot = function dot(v) {
- return this.x * v.x + this.y * v.y + this.z * v.z + this.w * v.w;
- };
- _proto.lengthSq = function lengthSq() {
- return this.x * this.x + this.y * this.y + this.z * this.z + this.w * this.w;
- };
- _proto.length = function length() {
- return Math.sqrt(this.x * this.x + this.y * this.y + this.z * this.z + this.w * this.w);
- };
- _proto.manhattanLength = function manhattanLength() {
- return Math.abs(this.x) + Math.abs(this.y) + Math.abs(this.z) + Math.abs(this.w);
- };
- _proto.normalize = function normalize() {
- return this.divideScalar(this.length() || 1);
- };
- _proto.setLength = function setLength(length) {
- return this.normalize().multiplyScalar(length);
- };
- _proto.lerp = function lerp(v, alpha) {
- this.x += (v.x - this.x) * alpha;
- this.y += (v.y - this.y) * alpha;
- this.z += (v.z - this.z) * alpha;
- this.w += (v.w - this.w) * alpha;
- return this;
- };
- _proto.lerpVectors = function lerpVectors(v1, v2, alpha) {
- this.x = v1.x + (v2.x - v1.x) * alpha;
- this.y = v1.y + (v2.y - v1.y) * alpha;
- this.z = v1.z + (v2.z - v1.z) * alpha;
- this.w = v1.w + (v2.w - v1.w) * alpha;
- return this;
- };
- _proto.equals = function equals(v) {
- return v.x === this.x && v.y === this.y && v.z === this.z && v.w === this.w;
- };
- _proto.fromArray = function fromArray(array, offset) {
- if (offset === void 0) {
- offset = 0;
- }
- this.x = array[offset];
- this.y = array[offset + 1];
- this.z = array[offset + 2];
- this.w = array[offset + 3];
- return this;
- };
- _proto.toArray = function toArray(array, offset) {
- if (array === void 0) {
- array = [];
- }
- if (offset === void 0) {
- offset = 0;
- }
- array[offset] = this.x;
- array[offset + 1] = this.y;
- array[offset + 2] = this.z;
- array[offset + 3] = this.w;
- return array;
- };
- _proto.fromBufferAttribute = function fromBufferAttribute(attribute, index, offset) {
- if (offset !== undefined) {
- console.warn('THREE.Vector4: offset has been removed from .fromBufferAttribute().');
- }
- this.x = attribute.getX(index);
- this.y = attribute.getY(index);
- this.z = attribute.getZ(index);
- this.w = attribute.getW(index);
- return this;
- };
- _proto.random = function random() {
- this.x = Math.random();
- this.y = Math.random();
- this.z = Math.random();
- this.w = Math.random();
- return this;
- };
- _createClass(Vector4, [{
- key: "width",
- get: function get() {
- return this.z;
- },
- set: function set(value) {
- this.z = value;
- }
- }, {
- key: "height",
- get: function get() {
- return this.w;
- },
- set: function set(value) {
- this.w = value;
- }
- }]);
- return Vector4;
- }();
- function WebGLRenderTarget(width, height, options) {
- this.width = width;
- this.height = height;
- this.scissor = new Vector4(0, 0, width, height);
- this.scissorTest = false;
- this.viewport = new Vector4(0, 0, width, height);
- options = options || {};
- this.texture = new Texture(undefined, options.mapping, options.wrapS, options.wrapT, options.magFilter, options.minFilter, options.format, options.type, options.anisotropy, options.encoding);
- this.texture.image = {};
- this.texture.image.width = width;
- this.texture.image.height = height;
- this.texture.generateMipmaps = options.generateMipmaps !== undefined ? options.generateMipmaps : false;
- this.texture.minFilter = options.minFilter !== undefined ? options.minFilter : LinearFilter;
- this.depthBuffer = options.depthBuffer !== undefined ? options.depthBuffer : true;
- this.stencilBuffer = options.stencilBuffer !== undefined ? options.stencilBuffer : false;
- this.depthTexture = options.depthTexture !== undefined ? options.depthTexture : null;
- }
- WebGLRenderTarget.prototype = Object.assign(Object.create(EventDispatcher.prototype), {
- constructor: WebGLRenderTarget,
- isWebGLRenderTarget: true,
- setSize: function setSize(width, height) {
- if (this.width !== width || this.height !== height) {
- this.width = width;
- this.height = height;
- this.texture.image.width = width;
- this.texture.image.height = height;
- this.dispose();
- }
- this.viewport.set(0, 0, width, height);
- this.scissor.set(0, 0, width, height);
- },
- clone: function clone() {
- return new this.constructor().copy(this);
- },
- copy: function copy(source) {
- this.width = source.width;
- this.height = source.height;
- this.viewport.copy(source.viewport);
- this.texture = source.texture.clone();
- this.depthBuffer = source.depthBuffer;
- this.stencilBuffer = source.stencilBuffer;
- this.depthTexture = source.depthTexture;
- return this;
- },
- dispose: function dispose() {
- this.dispatchEvent({
- type: 'dispose'
- });
- }
- });
- function WebGLMultisampleRenderTarget(width, height, options) {
- WebGLRenderTarget.call(this, width, height, options);
- this.samples = 4;
- }
- WebGLMultisampleRenderTarget.prototype = Object.assign(Object.create(WebGLRenderTarget.prototype), {
- constructor: WebGLMultisampleRenderTarget,
- isWebGLMultisampleRenderTarget: true,
- copy: function copy(source) {
- WebGLRenderTarget.prototype.copy.call(this, source);
- this.samples = source.samples;
- return this;
- }
- });
- var Quaternion = /*#__PURE__*/function () {
- function Quaternion(x, y, z, w) {
- if (x === void 0) {
- x = 0;
- }
- if (y === void 0) {
- y = 0;
- }
- if (z === void 0) {
- z = 0;
- }
- if (w === void 0) {
- w = 1;
- }
- Object.defineProperty(this, 'isQuaternion', {
- value: true
- });
- this._x = x;
- this._y = y;
- this._z = z;
- this._w = w;
- }
- Quaternion.slerp = function slerp(qa, qb, qm, t) {
- return qm.copy(qa).slerp(qb, t);
- };
- Quaternion.slerpFlat = function slerpFlat(dst, dstOffset, src0, srcOffset0, src1, srcOffset1, t) {
- var x0 = src0[srcOffset0 + 0],
- y0 = src0[srcOffset0 + 1],
- z0 = src0[srcOffset0 + 2],
- w0 = src0[srcOffset0 + 3];
- var x1 = src1[srcOffset1 + 0],
- y1 = src1[srcOffset1 + 1],
- z1 = src1[srcOffset1 + 2],
- w1 = src1[srcOffset1 + 3];
- if (w0 !== w1 || x0 !== x1 || y0 !== y1 || z0 !== z1) {
- var s = 1 - t;
- var cos = x0 * x1 + y0 * y1 + z0 * z1 + w0 * w1,
- dir = cos >= 0 ? 1 : -1,
- sqrSin = 1 - cos * cos;
- if (sqrSin > Number.EPSILON) {
- var sin = Math.sqrt(sqrSin),
- len = Math.atan2(sin, cos * dir);
- s = Math.sin(s * len) / sin;
- t = Math.sin(t * len) / sin;
- }
- var tDir = t * dir;
- x0 = x0 * s + x1 * tDir;
- y0 = y0 * s + y1 * tDir;
- z0 = z0 * s + z1 * tDir;
- w0 = w0 * s + w1 * tDir;
- if (s === 1 - t) {
- var f = 1 / Math.sqrt(x0 * x0 + y0 * y0 + z0 * z0 + w0 * w0);
- x0 *= f;
- y0 *= f;
- z0 *= f;
- w0 *= f;
- }
- }
- dst[dstOffset] = x0;
- dst[dstOffset + 1] = y0;
- dst[dstOffset + 2] = z0;
- dst[dstOffset + 3] = w0;
- };
- Quaternion.multiplyQuaternionsFlat = function multiplyQuaternionsFlat(dst, dstOffset, src0, srcOffset0, src1, srcOffset1) {
- var x0 = src0[srcOffset0];
- var y0 = src0[srcOffset0 + 1];
- var z0 = src0[srcOffset0 + 2];
- var w0 = src0[srcOffset0 + 3];
- var x1 = src1[srcOffset1];
- var y1 = src1[srcOffset1 + 1];
- var z1 = src1[srcOffset1 + 2];
- var w1 = src1[srcOffset1 + 3];
- dst[dstOffset] = x0 * w1 + w0 * x1 + y0 * z1 - z0 * y1;
- dst[dstOffset + 1] = y0 * w1 + w0 * y1 + z0 * x1 - x0 * z1;
- dst[dstOffset + 2] = z0 * w1 + w0 * z1 + x0 * y1 - y0 * x1;
- dst[dstOffset + 3] = w0 * w1 - x0 * x1 - y0 * y1 - z0 * z1;
- return dst;
- };
- var _proto = Quaternion.prototype;
- _proto.set = function set(x, y, z, w) {
- this._x = x;
- this._y = y;
- this._z = z;
- this._w = w;
- this._onChangeCallback();
- return this;
- };
- _proto.clone = function clone() {
- return new this.constructor(this._x, this._y, this._z, this._w);
- };
- _proto.copy = function copy(quaternion) {
- this._x = quaternion.x;
- this._y = quaternion.y;
- this._z = quaternion.z;
- this._w = quaternion.w;
- this._onChangeCallback();
- return this;
- };
- _proto.setFromEuler = function setFromEuler(euler, update) {
- if (!(euler && euler.isEuler)) {
- throw new Error('THREE.Quaternion: .setFromEuler() now expects an Euler rotation rather than a Vector3 and order.');
- }
- var x = euler._x,
- y = euler._y,
- z = euler._z,
- order = euler._order;
- var cos = Math.cos;
- var sin = Math.sin;
- var c1 = cos(x / 2);
- var c2 = cos(y / 2);
- var c3 = cos(z / 2);
- var s1 = sin(x / 2);
- var s2 = sin(y / 2);
- var s3 = sin(z / 2);
- switch (order) {
- case 'XYZ':
- this._x = s1 * c2 * c3 + c1 * s2 * s3;
- this._y = c1 * s2 * c3 - s1 * c2 * s3;
- this._z = c1 * c2 * s3 + s1 * s2 * c3;
- this._w = c1 * c2 * c3 - s1 * s2 * s3;
- break;
- case 'YXZ':
- this._x = s1 * c2 * c3 + c1 * s2 * s3;
- this._y = c1 * s2 * c3 - s1 * c2 * s3;
- this._z = c1 * c2 * s3 - s1 * s2 * c3;
- this._w = c1 * c2 * c3 + s1 * s2 * s3;
- break;
- case 'ZXY':
- this._x = s1 * c2 * c3 - c1 * s2 * s3;
- this._y = c1 * s2 * c3 + s1 * c2 * s3;
- this._z = c1 * c2 * s3 + s1 * s2 * c3;
- this._w = c1 * c2 * c3 - s1 * s2 * s3;
- break;
- case 'ZYX':
- this._x = s1 * c2 * c3 - c1 * s2 * s3;
- this._y = c1 * s2 * c3 + s1 * c2 * s3;
- this._z = c1 * c2 * s3 - s1 * s2 * c3;
- this._w = c1 * c2 * c3 + s1 * s2 * s3;
- break;
- case 'YZX':
- this._x = s1 * c2 * c3 + c1 * s2 * s3;
- this._y = c1 * s2 * c3 + s1 * c2 * s3;
- this._z = c1 * c2 * s3 - s1 * s2 * c3;
- this._w = c1 * c2 * c3 - s1 * s2 * s3;
- break;
- case 'XZY':
- this._x = s1 * c2 * c3 - c1 * s2 * s3;
- this._y = c1 * s2 * c3 - s1 * c2 * s3;
- this._z = c1 * c2 * s3 + s1 * s2 * c3;
- this._w = c1 * c2 * c3 + s1 * s2 * s3;
- break;
- default:
- console.warn('THREE.Quaternion: .setFromEuler() encountered an unknown order: ' + order);
- }
- if (update !== false) this._onChangeCallback();
- return this;
- };
- _proto.setFromAxisAngle = function setFromAxisAngle(axis, angle) {
- var halfAngle = angle / 2,
- s = Math.sin(halfAngle);
- this._x = axis.x * s;
- this._y = axis.y * s;
- this._z = axis.z * s;
- this._w = Math.cos(halfAngle);
- this._onChangeCallback();
- return this;
- };
- _proto.setFromRotationMatrix = function setFromRotationMatrix(m) {
- var te = m.elements,
- m11 = te[0],
- m12 = te[4],
- m13 = te[8],
- m21 = te[1],
- m22 = te[5],
- m23 = te[9],
- m31 = te[2],
- m32 = te[6],
- m33 = te[10],
- trace = m11 + m22 + m33;
- if (trace > 0) {
- var s = 0.5 / Math.sqrt(trace + 1.0);
- this._w = 0.25 / s;
- this._x = (m32 - m23) * s;
- this._y = (m13 - m31) * s;
- this._z = (m21 - m12) * s;
- } else if (m11 > m22 && m11 > m33) {
- var _s = 2.0 * Math.sqrt(1.0 + m11 - m22 - m33);
- this._w = (m32 - m23) / _s;
- this._x = 0.25 * _s;
- this._y = (m12 + m21) / _s;
- this._z = (m13 + m31) / _s;
- } else if (m22 > m33) {
- var _s2 = 2.0 * Math.sqrt(1.0 + m22 - m11 - m33);
- this._w = (m13 - m31) / _s2;
- this._x = (m12 + m21) / _s2;
- this._y = 0.25 * _s2;
- this._z = (m23 + m32) / _s2;
- } else {
- var _s3 = 2.0 * Math.sqrt(1.0 + m33 - m11 - m22);
- this._w = (m21 - m12) / _s3;
- this._x = (m13 + m31) / _s3;
- this._y = (m23 + m32) / _s3;
- this._z = 0.25 * _s3;
- }
- this._onChangeCallback();
- return this;
- };
- _proto.setFromUnitVectors = function setFromUnitVectors(vFrom, vTo) {
- var EPS = 0.000001;
- var r = vFrom.dot(vTo) + 1;
- if (r < EPS) {
- r = 0;
- if (Math.abs(vFrom.x) > Math.abs(vFrom.z)) {
- this._x = -vFrom.y;
- this._y = vFrom.x;
- this._z = 0;
- this._w = r;
- } else {
- this._x = 0;
- this._y = -vFrom.z;
- this._z = vFrom.y;
- this._w = r;
- }
- } else {
- this._x = vFrom.y * vTo.z - vFrom.z * vTo.y;
- this._y = vFrom.z * vTo.x - vFrom.x * vTo.z;
- this._z = vFrom.x * vTo.y - vFrom.y * vTo.x;
- this._w = r;
- }
- return this.normalize();
- };
- _proto.angleTo = function angleTo(q) {
- return 2 * Math.acos(Math.abs(MathUtils.clamp(this.dot(q), -1, 1)));
- };
- _proto.rotateTowards = function rotateTowards(q, step) {
- var angle = this.angleTo(q);
- if (angle === 0) return this;
- var t = Math.min(1, step / angle);
- this.slerp(q, t);
- return this;
- };
- _proto.identity = function identity() {
- return this.set(0, 0, 0, 1);
- };
- _proto.invert = function invert() {
- return this.conjugate();
- };
- _proto.conjugate = function conjugate() {
- this._x *= -1;
- this._y *= -1;
- this._z *= -1;
- this._onChangeCallback();
- return this;
- };
- _proto.dot = function dot(v) {
- return this._x * v._x + this._y * v._y + this._z * v._z + this._w * v._w;
- };
- _proto.lengthSq = function lengthSq() {
- return this._x * this._x + this._y * this._y + this._z * this._z + this._w * this._w;
- };
- _proto.length = function length() {
- return Math.sqrt(this._x * this._x + this._y * this._y + this._z * this._z + this._w * this._w);
- };
- _proto.normalize = function normalize() {
- var l = this.length();
- if (l === 0) {
- this._x = 0;
- this._y = 0;
- this._z = 0;
- this._w = 1;
- } else {
- l = 1 / l;
- this._x = this._x * l;
- this._y = this._y * l;
- this._z = this._z * l;
- this._w = this._w * l;
- }
- this._onChangeCallback();
- return this;
- };
- _proto.multiply = function multiply(q, p) {
- if (p !== undefined) {
- console.warn('THREE.Quaternion: .multiply() now only accepts one argument. Use .multiplyQuaternions( a, b ) instead.');
- return this.multiplyQuaternions(q, p);
- }
- return this.multiplyQuaternions(this, q);
- };
- _proto.premultiply = function premultiply(q) {
- return this.multiplyQuaternions(q, this);
- };
- _proto.multiplyQuaternions = function multiplyQuaternions(a, b) {
- var qax = a._x,
- qay = a._y,
- qaz = a._z,
- qaw = a._w;
- var qbx = b._x,
- qby = b._y,
- qbz = b._z,
- qbw = b._w;
- this._x = qax * qbw + qaw * qbx + qay * qbz - qaz * qby;
- this._y = qay * qbw + qaw * qby + qaz * qbx - qax * qbz;
- this._z = qaz * qbw + qaw * qbz + qax * qby - qay * qbx;
- this._w = qaw * qbw - qax * qbx - qay * qby - qaz * qbz;
- this._onChangeCallback();
- return this;
- };
- _proto.slerp = function slerp(qb, t) {
- if (t === 0) return this;
- if (t === 1) return this.copy(qb);
- var x = this._x,
- y = this._y,
- z = this._z,
- w = this._w;
- var cosHalfTheta = w * qb._w + x * qb._x + y * qb._y + z * qb._z;
- if (cosHalfTheta < 0) {
- this._w = -qb._w;
- this._x = -qb._x;
- this._y = -qb._y;
- this._z = -qb._z;
- cosHalfTheta = -cosHalfTheta;
- } else {
- this.copy(qb);
- }
- if (cosHalfTheta >= 1.0) {
- this._w = w;
- this._x = x;
- this._y = y;
- this._z = z;
- return this;
- }
- var sqrSinHalfTheta = 1.0 - cosHalfTheta * cosHalfTheta;
- if (sqrSinHalfTheta <= Number.EPSILON) {
- var s = 1 - t;
- this._w = s * w + t * this._w;
- this._x = s * x + t * this._x;
- this._y = s * y + t * this._y;
- this._z = s * z + t * this._z;
- this.normalize();
- this._onChangeCallback();
- return this;
- }
- var sinHalfTheta = Math.sqrt(sqrSinHalfTheta);
- var halfTheta = Math.atan2(sinHalfTheta, cosHalfTheta);
- var ratioA = Math.sin((1 - t) * halfTheta) / sinHalfTheta,
- ratioB = Math.sin(t * halfTheta) / sinHalfTheta;
- this._w = w * ratioA + this._w * ratioB;
- this._x = x * ratioA + this._x * ratioB;
- this._y = y * ratioA + this._y * ratioB;
- this._z = z * ratioA + this._z * ratioB;
- this._onChangeCallback();
- return this;
- };
- _proto.equals = function equals(quaternion) {
- return quaternion._x === this._x && quaternion._y === this._y && quaternion._z === this._z && quaternion._w === this._w;
- };
- _proto.fromArray = function fromArray(array, offset) {
- if (offset === void 0) {
- offset = 0;
- }
- this._x = array[offset];
- this._y = array[offset + 1];
- this._z = array[offset + 2];
- this._w = array[offset + 3];
- this._onChangeCallback();
- return this;
- };
- _proto.toArray = function toArray(array, offset) {
- if (array === void 0) {
- array = [];
- }
- if (offset === void 0) {
- offset = 0;
- }
- array[offset] = this._x;
- array[offset + 1] = this._y;
- array[offset + 2] = this._z;
- array[offset + 3] = this._w;
- return array;
- };
- _proto.fromBufferAttribute = function fromBufferAttribute(attribute, index) {
- this._x = attribute.getX(index);
- this._y = attribute.getY(index);
- this._z = attribute.getZ(index);
- this._w = attribute.getW(index);
- return this;
- };
- _proto._onChange = function _onChange(callback) {
- this._onChangeCallback = callback;
- return this;
- };
- _proto._onChangeCallback = function _onChangeCallback() {};
- _createClass(Quaternion, [{
- key: "x",
- get: function get() {
- return this._x;
- },
- set: function set(value) {
- this._x = value;
- this._onChangeCallback();
- }
- }, {
- key: "y",
- get: function get() {
- return this._y;
- },
- set: function set(value) {
- this._y = value;
- this._onChangeCallback();
- }
- }, {
- key: "z",
- get: function get() {
- return this._z;
- },
- set: function set(value) {
- this._z = value;
- this._onChangeCallback();
- }
- }, {
- key: "w",
- get: function get() {
- return this._w;
- },
- set: function set(value) {
- this._w = value;
- this._onChangeCallback();
- }
- }]);
- return Quaternion;
- }();
- var Vector3 = /*#__PURE__*/function () {
- function Vector3(x, y, z) {
- if (x === void 0) {
- x = 0;
- }
- if (y === void 0) {
- y = 0;
- }
- if (z === void 0) {
- z = 0;
- }
- Object.defineProperty(this, 'isVector3', {
- value: true
- });
- this.x = x;
- this.y = y;
- this.z = z;
- }
- var _proto = Vector3.prototype;
- _proto.set = function set(x, y, z) {
- if (z === undefined) z = this.z;
- this.x = x;
- this.y = y;
- this.z = z;
- return this;
- };
- _proto.setScalar = function setScalar(scalar) {
- this.x = scalar;
- this.y = scalar;
- this.z = scalar;
- return this;
- };
- _proto.setX = function setX(x) {
- this.x = x;
- return this;
- };
- _proto.setY = function setY(y) {
- this.y = y;
- return this;
- };
- _proto.setZ = function setZ(z) {
- this.z = z;
- return this;
- };
- _proto.setComponent = function setComponent(index, value) {
- switch (index) {
- case 0:
- this.x = value;
- break;
- case 1:
- this.y = value;
- break;
- case 2:
- this.z = value;
- break;
- default:
- throw new Error('index is out of range: ' + index);
- }
- return this;
- };
- _proto.getComponent = function getComponent(index) {
- switch (index) {
- case 0:
- return this.x;
- case 1:
- return this.y;
- case 2:
- return this.z;
- default:
- throw new Error('index is out of range: ' + index);
- }
- };
- _proto.clone = function clone() {
- return new this.constructor(this.x, this.y, this.z);
- };
- _proto.copy = function copy(v) {
- this.x = v.x;
- this.y = v.y;
- this.z = v.z;
- return this;
- };
- _proto.add = function add(v, w) {
- if (w !== undefined) {
- console.warn('THREE.Vector3: .add() now only accepts one argument. Use .addVectors( a, b ) instead.');
- return this.addVectors(v, w);
- }
- this.x += v.x;
- this.y += v.y;
- this.z += v.z;
- return this;
- };
- _proto.addScalar = function addScalar(s) {
- this.x += s;
- this.y += s;
- this.z += s;
- return this;
- };
- _proto.addVectors = function addVectors(a, b) {
- this.x = a.x + b.x;
- this.y = a.y + b.y;
- this.z = a.z + b.z;
- return this;
- };
- _proto.addScaledVector = function addScaledVector(v, s) {
- this.x += v.x * s;
- this.y += v.y * s;
- this.z += v.z * s;
- return this;
- };
- _proto.sub = function sub(v, w) {
- if (w !== undefined) {
- console.warn('THREE.Vector3: .sub() now only accepts one argument. Use .subVectors( a, b ) instead.');
- return this.subVectors(v, w);
- }
- this.x -= v.x;
- this.y -= v.y;
- this.z -= v.z;
- return this;
- };
- _proto.subScalar = function subScalar(s) {
- this.x -= s;
- this.y -= s;
- this.z -= s;
- return this;
- };
- _proto.subVectors = function subVectors(a, b) {
- this.x = a.x - b.x;
- this.y = a.y - b.y;
- this.z = a.z - b.z;
- return this;
- };
- _proto.multiply = function multiply(v, w) {
- if (w !== undefined) {
- console.warn('THREE.Vector3: .multiply() now only accepts one argument. Use .multiplyVectors( a, b ) instead.');
- return this.multiplyVectors(v, w);
- }
- this.x *= v.x;
- this.y *= v.y;
- this.z *= v.z;
- return this;
- };
- _proto.multiplyScalar = function multiplyScalar(scalar) {
- this.x *= scalar;
- this.y *= scalar;
- this.z *= scalar;
- return this;
- };
- _proto.multiplyVectors = function multiplyVectors(a, b) {
- this.x = a.x * b.x;
- this.y = a.y * b.y;
- this.z = a.z * b.z;
- return this;
- };
- _proto.applyEuler = function applyEuler(euler) {
- if (!(euler && euler.isEuler)) {
- console.error('THREE.Vector3: .applyEuler() now expects an Euler rotation rather than a Vector3 and order.');
- }
- return this.applyQuaternion(_quaternion.setFromEuler(euler));
- };
- _proto.applyAxisAngle = function applyAxisAngle(axis, angle) {
- return this.applyQuaternion(_quaternion.setFromAxisAngle(axis, angle));
- };
- _proto.applyMatrix3 = function applyMatrix3(m) {
- var x = this.x,
- y = this.y,
- z = this.z;
- var e = m.elements;
- this.x = e[0] * x + e[3] * y + e[6] * z;
- this.y = e[1] * x + e[4] * y + e[7] * z;
- this.z = e[2] * x + e[5] * y + e[8] * z;
- return this;
- };
- _proto.applyNormalMatrix = function applyNormalMatrix(m) {
- return this.applyMatrix3(m).normalize();
- };
- _proto.applyMatrix4 = function applyMatrix4(m) {
- var x = this.x,
- y = this.y,
- z = this.z;
- var e = m.elements;
- var w = 1 / (e[3] * x + e[7] * y + e[11] * z + e[15]);
- this.x = (e[0] * x + e[4] * y + e[8] * z + e[12]) * w;
- this.y = (e[1] * x + e[5] * y + e[9] * z + e[13]) * w;
- this.z = (e[2] * x + e[6] * y + e[10] * z + e[14]) * w;
- return this;
- };
- _proto.applyQuaternion = function applyQuaternion(q) {
- var x = this.x,
- y = this.y,
- z = this.z;
- var qx = q.x,
- qy = q.y,
- qz = q.z,
- qw = q.w;
- var ix = qw * x + qy * z - qz * y;
- var iy = qw * y + qz * x - qx * z;
- var iz = qw * z + qx * y - qy * x;
- var iw = -qx * x - qy * y - qz * z;
- this.x = ix * qw + iw * -qx + iy * -qz - iz * -qy;
- this.y = iy * qw + iw * -qy + iz * -qx - ix * -qz;
- this.z = iz * qw + iw * -qz + ix * -qy - iy * -qx;
- return this;
- };
- _proto.project = function project(camera) {
- return this.applyMatrix4(camera.matrixWorldInverse).applyMatrix4(camera.projectionMatrix);
- };
- _proto.unproject = function unproject(camera) {
- return this.applyMatrix4(camera.projectionMatrixInverse).applyMatrix4(camera.matrixWorld);
- };
- _proto.transformDirection = function transformDirection(m) {
- var x = this.x,
- y = this.y,
- z = this.z;
- var e = m.elements;
- this.x = e[0] * x + e[4] * y + e[8] * z;
- this.y = e[1] * x + e[5] * y + e[9] * z;
- this.z = e[2] * x + e[6] * y + e[10] * z;
- return this.normalize();
- };
- _proto.divide = function divide(v) {
- this.x /= v.x;
- this.y /= v.y;
- this.z /= v.z;
- return this;
- };
- _proto.divideScalar = function divideScalar(scalar) {
- return this.multiplyScalar(1 / scalar);
- };
- _proto.min = function min(v) {
- this.x = Math.min(this.x, v.x);
- this.y = Math.min(this.y, v.y);
- this.z = Math.min(this.z, v.z);
- return this;
- };
- _proto.max = function max(v) {
- this.x = Math.max(this.x, v.x);
- this.y = Math.max(this.y, v.y);
- this.z = Math.max(this.z, v.z);
- return this;
- };
- _proto.clamp = function clamp(min, max) {
- this.x = Math.max(min.x, Math.min(max.x, this.x));
- this.y = Math.max(min.y, Math.min(max.y, this.y));
- this.z = Math.max(min.z, Math.min(max.z, this.z));
- return this;
- };
- _proto.clampScalar = function clampScalar(minVal, maxVal) {
- this.x = Math.max(minVal, Math.min(maxVal, this.x));
- this.y = Math.max(minVal, Math.min(maxVal, this.y));
- this.z = Math.max(minVal, Math.min(maxVal, this.z));
- return this;
- };
- _proto.clampLength = function clampLength(min, max) {
- var length = this.length();
- return this.divideScalar(length || 1).multiplyScalar(Math.max(min, Math.min(max, length)));
- };
- _proto.floor = function floor() {
- this.x = Math.floor(this.x);
- this.y = Math.floor(this.y);
- this.z = Math.floor(this.z);
- return this;
- };
- _proto.ceil = function ceil() {
- this.x = Math.ceil(this.x);
- this.y = Math.ceil(this.y);
- this.z = Math.ceil(this.z);
- return this;
- };
- _proto.round = function round() {
- this.x = Math.round(this.x);
- this.y = Math.round(this.y);
- this.z = Math.round(this.z);
- return this;
- };
- _proto.roundToZero = function roundToZero() {
- this.x = this.x < 0 ? Math.ceil(this.x) : Math.floor(this.x);
- this.y = this.y < 0 ? Math.ceil(this.y) : Math.floor(this.y);
- this.z = this.z < 0 ? Math.ceil(this.z) : Math.floor(this.z);
- return this;
- };
- _proto.negate = function negate() {
- this.x = -this.x;
- this.y = -this.y;
- this.z = -this.z;
- return this;
- };
- _proto.dot = function dot(v) {
- return this.x * v.x + this.y * v.y + this.z * v.z;
- };
- _proto.lengthSq = function lengthSq() {
- return this.x * this.x + this.y * this.y + this.z * this.z;
- };
- _proto.length = function length() {
- return Math.sqrt(this.x * this.x + this.y * this.y + this.z * this.z);
- };
- _proto.manhattanLength = function manhattanLength() {
- return Math.abs(this.x) + Math.abs(this.y) + Math.abs(this.z);
- };
- _proto.normalize = function normalize() {
- return this.divideScalar(this.length() || 1);
- };
- _proto.setLength = function setLength(length) {
- return this.normalize().multiplyScalar(length);
- };
- _proto.lerp = function lerp(v, alpha) {
- this.x += (v.x - this.x) * alpha;
- this.y += (v.y - this.y) * alpha;
- this.z += (v.z - this.z) * alpha;
- return this;
- };
- _proto.lerpVectors = function lerpVectors(v1, v2, alpha) {
- this.x = v1.x + (v2.x - v1.x) * alpha;
- this.y = v1.y + (v2.y - v1.y) * alpha;
- this.z = v1.z + (v2.z - v1.z) * alpha;
- return this;
- };
- _proto.cross = function cross(v, w) {
- if (w !== undefined) {
- console.warn('THREE.Vector3: .cross() now only accepts one argument. Use .crossVectors( a, b ) instead.');
- return this.crossVectors(v, w);
- }
- return this.crossVectors(this, v);
- };
- _proto.crossVectors = function crossVectors(a, b) {
- var ax = a.x,
- ay = a.y,
- az = a.z;
- var bx = b.x,
- by = b.y,
- bz = b.z;
- this.x = ay * bz - az * by;
- this.y = az * bx - ax * bz;
- this.z = ax * by - ay * bx;
- return this;
- };
- _proto.projectOnVector = function projectOnVector(v) {
- var denominator = v.lengthSq();
- if (denominator === 0) return this.set(0, 0, 0);
- var scalar = v.dot(this) / denominator;
- return this.copy(v).multiplyScalar(scalar);
- };
- _proto.projectOnPlane = function projectOnPlane(planeNormal) {
- _vector.copy(this).projectOnVector(planeNormal);
- return this.sub(_vector);
- };
- _proto.reflect = function reflect(normal) {
- return this.sub(_vector.copy(normal).multiplyScalar(2 * this.dot(normal)));
- };
- _proto.angleTo = function angleTo(v) {
- var denominator = Math.sqrt(this.lengthSq() * v.lengthSq());
- if (denominator === 0) return Math.PI / 2;
- var theta = this.dot(v) / denominator;
- return Math.acos(MathUtils.clamp(theta, -1, 1));
- };
- _proto.distanceTo = function distanceTo(v) {
- return Math.sqrt(this.distanceToSquared(v));
- };
- _proto.distanceToSquared = function distanceToSquared(v) {
- var dx = this.x - v.x,
- dy = this.y - v.y,
- dz = this.z - v.z;
- return dx * dx + dy * dy + dz * dz;
- };
- _proto.manhattanDistanceTo = function manhattanDistanceTo(v) {
- return Math.abs(this.x - v.x) + Math.abs(this.y - v.y) + Math.abs(this.z - v.z);
- };
- _proto.setFromSpherical = function setFromSpherical(s) {
- return this.setFromSphericalCoords(s.radius, s.phi, s.theta);
- };
- _proto.setFromSphericalCoords = function setFromSphericalCoords(radius, phi, theta) {
- var sinPhiRadius = Math.sin(phi) * radius;
- this.x = sinPhiRadius * Math.sin(theta);
- this.y = Math.cos(phi) * radius;
- this.z = sinPhiRadius * Math.cos(theta);
- return this;
- };
- _proto.setFromCylindrical = function setFromCylindrical(c) {
- return this.setFromCylindricalCoords(c.radius, c.theta, c.y);
- };
- _proto.setFromCylindricalCoords = function setFromCylindricalCoords(radius, theta, y) {
- this.x = radius * Math.sin(theta);
- this.y = y;
- this.z = radius * Math.cos(theta);
- return this;
- };
- _proto.setFromMatrixPosition = function setFromMatrixPosition(m) {
- var e = m.elements;
- this.x = e[12];
- this.y = e[13];
- this.z = e[14];
- return this;
- };
- _proto.setFromMatrixScale = function setFromMatrixScale(m) {
- var sx = this.setFromMatrixColumn(m, 0).length();
- var sy = this.setFromMatrixColumn(m, 1).length();
- var sz = this.setFromMatrixColumn(m, 2).length();
- this.x = sx;
- this.y = sy;
- this.z = sz;
- return this;
- };
- _proto.setFromMatrixColumn = function setFromMatrixColumn(m, index) {
- return this.fromArray(m.elements, index * 4);
- };
- _proto.setFromMatrix3Column = function setFromMatrix3Column(m, index) {
- return this.fromArray(m.elements, index * 3);
- };
- _proto.equals = function equals(v) {
- return v.x === this.x && v.y === this.y && v.z === this.z;
- };
- _proto.fromArray = function fromArray(array, offset) {
- if (offset === void 0) {
- offset = 0;
- }
- this.x = array[offset];
- this.y = array[offset + 1];
- this.z = array[offset + 2];
- return this;
- };
- _proto.toArray = function toArray(array, offset) {
- if (array === void 0) {
- array = [];
- }
- if (offset === void 0) {
- offset = 0;
- }
- array[offset] = this.x;
- array[offset + 1] = this.y;
- array[offset + 2] = this.z;
- return array;
- };
- _proto.fromBufferAttribute = function fromBufferAttribute(attribute, index, offset) {
- if (offset !== undefined) {
- console.warn('THREE.Vector3: offset has been removed from .fromBufferAttribute().');
- }
- this.x = attribute.getX(index);
- this.y = attribute.getY(index);
- this.z = attribute.getZ(index);
- return this;
- };
- _proto.random = function random() {
- this.x = Math.random();
- this.y = Math.random();
- this.z = Math.random();
- return this;
- };
- return Vector3;
- }();
- var _vector = /*@__PURE__*/new Vector3();
- var _quaternion = /*@__PURE__*/new Quaternion();
- var Box3 = /*#__PURE__*/function () {
- function Box3(min, max) {
- Object.defineProperty(this, 'isBox3', {
- value: true
- });
- this.min = min !== undefined ? min : new Vector3(+Infinity, +Infinity, +Infinity);
- this.max = max !== undefined ? max : new Vector3(-Infinity, -Infinity, -Infinity);
- }
- var _proto = Box3.prototype;
- _proto.set = function set(min, max) {
- this.min.copy(min);
- this.max.copy(max);
- return this;
- };
- _proto.setFromArray = function setFromArray(array) {
- var minX = +Infinity;
- var minY = +Infinity;
- var minZ = +Infinity;
- var maxX = -Infinity;
- var maxY = -Infinity;
- var maxZ = -Infinity;
- for (var i = 0, l = array.length; i < l; i += 3) {
- var x = array[i];
- var y = array[i + 1];
- var z = array[i + 2];
- if (x < minX) minX = x;
- if (y < minY) minY = y;
- if (z < minZ) minZ = z;
- if (x > maxX) maxX = x;
- if (y > maxY) maxY = y;
- if (z > maxZ) maxZ = z;
- }
- this.min.set(minX, minY, minZ);
- this.max.set(maxX, maxY, maxZ);
- return this;
- };
- _proto.setFromBufferAttribute = function setFromBufferAttribute(attribute) {
- var minX = +Infinity;
- var minY = +Infinity;
- var minZ = +Infinity;
- var maxX = -Infinity;
- var maxY = -Infinity;
- var maxZ = -Infinity;
- for (var i = 0, l = attribute.count; i < l; i++) {
- var x = attribute.getX(i);
- var y = attribute.getY(i);
- var z = attribute.getZ(i);
- if (x < minX) minX = x;
- if (y < minY) minY = y;
- if (z < minZ) minZ = z;
- if (x > maxX) maxX = x;
- if (y > maxY) maxY = y;
- if (z > maxZ) maxZ = z;
- }
- this.min.set(minX, minY, minZ);
- this.max.set(maxX, maxY, maxZ);
- return this;
- };
- _proto.setFromPoints = function setFromPoints(points) {
- this.makeEmpty();
- for (var i = 0, il = points.length; i < il; i++) {
- this.expandByPoint(points[i]);
- }
- return this;
- };
- _proto.setFromCenterAndSize = function setFromCenterAndSize(center, size) {
- var halfSize = _vector$1.copy(size).multiplyScalar(0.5);
- this.min.copy(center).sub(halfSize);
- this.max.copy(center).add(halfSize);
- return this;
- };
- _proto.setFromObject = function setFromObject(object) {
- this.makeEmpty();
- return this.expandByObject(object);
- };
- _proto.clone = function clone() {
- return new this.constructor().copy(this);
- };
- _proto.copy = function copy(box) {
- this.min.copy(box.min);
- this.max.copy(box.max);
- return this;
- };
- _proto.makeEmpty = function makeEmpty() {
- this.min.x = this.min.y = this.min.z = +Infinity;
- this.max.x = this.max.y = this.max.z = -Infinity;
- return this;
- };
- _proto.isEmpty = function isEmpty() {
- return this.max.x < this.min.x || this.max.y < this.min.y || this.max.z < this.min.z;
- };
- _proto.getCenter = function getCenter(target) {
- if (target === undefined) {
- console.warn('THREE.Box3: .getCenter() target is now required');
- target = new Vector3();
- }
- return this.isEmpty() ? target.set(0, 0, 0) : target.addVectors(this.min, this.max).multiplyScalar(0.5);
- };
- _proto.getSize = function getSize(target) {
- if (target === undefined) {
- console.warn('THREE.Box3: .getSize() target is now required');
- target = new Vector3();
- }
- return this.isEmpty() ? target.set(0, 0, 0) : target.subVectors(this.max, this.min);
- };
- _proto.expandByPoint = function expandByPoint(point) {
- this.min.min(point);
- this.max.max(point);
- return this;
- };
- _proto.expandByVector = function expandByVector(vector) {
- this.min.sub(vector);
- this.max.add(vector);
- return this;
- };
- _proto.expandByScalar = function expandByScalar(scalar) {
- this.min.addScalar(-scalar);
- this.max.addScalar(scalar);
- return this;
- };
- _proto.expandByObject = function expandByObject(object) {
- object.updateWorldMatrix(false, false);
- var geometry = object.geometry;
- if (geometry !== undefined) {
- if (geometry.boundingBox === null) {
- geometry.computeBoundingBox();
- }
- _box.copy(geometry.boundingBox);
- _box.applyMatrix4(object.matrixWorld);
- this.union(_box);
- }
- var children = object.children;
- for (var i = 0, l = children.length; i < l; i++) {
- this.expandByObject(children[i]);
- }
- return this;
- };
- _proto.containsPoint = function containsPoint(point) {
- return point.x < this.min.x || point.x > this.max.x || point.y < this.min.y || point.y > this.max.y || point.z < this.min.z || point.z > this.max.z ? false : true;
- };
- _proto.containsBox = function containsBox(box) {
- return this.min.x <= box.min.x && box.max.x <= this.max.x && this.min.y <= box.min.y && box.max.y <= this.max.y && this.min.z <= box.min.z && box.max.z <= this.max.z;
- };
- _proto.getParameter = function getParameter(point, target) {
- if (target === undefined) {
- console.warn('THREE.Box3: .getParameter() target is now required');
- target = new Vector3();
- }
- return target.set((point.x - this.min.x) / (this.max.x - this.min.x), (point.y - this.min.y) / (this.max.y - this.min.y), (point.z - this.min.z) / (this.max.z - this.min.z));
- };
- _proto.intersectsBox = function intersectsBox(box) {
- return box.max.x < this.min.x || box.min.x > this.max.x || box.max.y < this.min.y || box.min.y > this.max.y || box.max.z < this.min.z || box.min.z > this.max.z ? false : true;
- };
- _proto.intersectsSphere = function intersectsSphere(sphere) {
- this.clampPoint(sphere.center, _vector$1); // If that point is inside the sphere, the AABB and sphere intersect.
- return _vector$1.distanceToSquared(sphere.center) <= sphere.radius * sphere.radius;
- };
- _proto.intersectsPlane = function intersectsPlane(plane) {
- var min, max;
- if (plane.normal.x > 0) {
- min = plane.normal.x * this.min.x;
- max = plane.normal.x * this.max.x;
- } else {
- min = plane.normal.x * this.max.x;
- max = plane.normal.x * this.min.x;
- }
- if (plane.normal.y > 0) {
- min += plane.normal.y * this.min.y;
- max += plane.normal.y * this.max.y;
- } else {
- min += plane.normal.y * this.max.y;
- max += plane.normal.y * this.min.y;
- }
- if (plane.normal.z > 0) {
- min += plane.normal.z * this.min.z;
- max += plane.normal.z * this.max.z;
- } else {
- min += plane.normal.z * this.max.z;
- max += plane.normal.z * this.min.z;
- }
- return min <= -plane.constant && max >= -plane.constant;
- };
- _proto.intersectsTriangle = function intersectsTriangle(triangle) {
- if (this.isEmpty()) {
- return false;
- }
- this.getCenter(_center);
- _extents.subVectors(this.max, _center);
- _v0.subVectors(triangle.a, _center);
- _v1.subVectors(triangle.b, _center);
- _v2.subVectors(triangle.c, _center);
- _f0.subVectors(_v1, _v0);
- _f1.subVectors(_v2, _v1);
- _f2.subVectors(_v0, _v2);
- var axes = [0, -_f0.z, _f0.y, 0, -_f1.z, _f1.y, 0, -_f2.z, _f2.y, _f0.z, 0, -_f0.x, _f1.z, 0, -_f1.x, _f2.z, 0, -_f2.x, -_f0.y, _f0.x, 0, -_f1.y, _f1.x, 0, -_f2.y, _f2.x, 0];
- if (!satForAxes(axes, _v0, _v1, _v2, _extents)) {
- return false;
- }
- axes = [1, 0, 0, 0, 1, 0, 0, 0, 1];
- if (!satForAxes(axes, _v0, _v1, _v2, _extents)) {
- return false;
- }
- _triangleNormal.crossVectors(_f0, _f1);
- axes = [_triangleNormal.x, _triangleNormal.y, _triangleNormal.z];
- return satForAxes(axes, _v0, _v1, _v2, _extents);
- };
- _proto.clampPoint = function clampPoint(point, target) {
- if (target === undefined) {
- console.warn('THREE.Box3: .clampPoint() target is now required');
- target = new Vector3();
- }
- return target.copy(point).clamp(this.min, this.max);
- };
- _proto.distanceToPoint = function distanceToPoint(point) {
- var clampedPoint = _vector$1.copy(point).clamp(this.min, this.max);
- return clampedPoint.sub(point).length();
- };
- _proto.getBoundingSphere = function getBoundingSphere(target) {
- if (target === undefined) {
- console.error('THREE.Box3: .getBoundingSphere() target is now required');
- }
- this.getCenter(target.center);
- target.radius = this.getSize(_vector$1).length() * 0.5;
- return target;
- };
- _proto.intersect = function intersect(box) {
- this.min.max(box.min);
- this.max.min(box.max);
- if (this.isEmpty()) this.makeEmpty();
- return this;
- };
- _proto.union = function union(box) {
- this.min.min(box.min);
- this.max.max(box.max);
- return this;
- };
- _proto.applyMatrix4 = function applyMatrix4(matrix) {
- if (this.isEmpty()) return this;
- _points[0].set(this.min.x, this.min.y, this.min.z).applyMatrix4(matrix);
-
- _points[1].set(this.min.x, this.min.y, this.max.z).applyMatrix4(matrix);
-
- _points[2].set(this.min.x, this.max.y, this.min.z).applyMatrix4(matrix);
-
- _points[3].set(this.min.x, this.max.y, this.max.z).applyMatrix4(matrix);
-
- _points[4].set(this.max.x, this.min.y, this.min.z).applyMatrix4(matrix);
-
- _points[5].set(this.max.x, this.min.y, this.max.z).applyMatrix4(matrix);
-
- _points[6].set(this.max.x, this.max.y, this.min.z).applyMatrix4(matrix);
-
- _points[7].set(this.max.x, this.max.y, this.max.z).applyMatrix4(matrix);
-
- this.setFromPoints(_points);
- return this;
- };
- _proto.translate = function translate(offset) {
- this.min.add(offset);
- this.max.add(offset);
- return this;
- };
- _proto.equals = function equals(box) {
- return box.min.equals(this.min) && box.max.equals(this.max);
- };
- return Box3;
- }();
- function satForAxes(axes, v0, v1, v2, extents) {
- for (var i = 0, j = axes.length - 3; i <= j; i += 3) {
- _testAxis.fromArray(axes, i);
-
- var r = extents.x * Math.abs(_testAxis.x) + extents.y * Math.abs(_testAxis.y) + extents.z * Math.abs(_testAxis.z);
- var p0 = v0.dot(_testAxis);
- var p1 = v1.dot(_testAxis);
- var p2 = v2.dot(_testAxis);
- if (Math.max(-Math.max(p0, p1, p2), Math.min(p0, p1, p2)) > r) {
- return false;
- }
- }
- return true;
- }
- var _points = [/*@__PURE__*/new Vector3(), /*@__PURE__*/new Vector3(), /*@__PURE__*/new Vector3(), /*@__PURE__*/new Vector3(), /*@__PURE__*/new Vector3(), /*@__PURE__*/new Vector3(), /*@__PURE__*/new Vector3(), /*@__PURE__*/new Vector3()];
- var _vector$1 = /*@__PURE__*/new Vector3();
- var _box = /*@__PURE__*/new Box3();
-
- var _v0 = /*@__PURE__*/new Vector3();
- var _v1 = /*@__PURE__*/new Vector3();
- var _v2 = /*@__PURE__*/new Vector3();
-
- var _f0 = /*@__PURE__*/new Vector3();
- var _f1 = /*@__PURE__*/new Vector3();
- var _f2 = /*@__PURE__*/new Vector3();
- var _center = /*@__PURE__*/new Vector3();
- var _extents = /*@__PURE__*/new Vector3();
- var _triangleNormal = /*@__PURE__*/new Vector3();
- var _testAxis = /*@__PURE__*/new Vector3();
- var _box$1 = /*@__PURE__*/new Box3();
- var Sphere = /*#__PURE__*/function () {
- function Sphere(center, radius) {
- this.center = center !== undefined ? center : new Vector3();
- this.radius = radius !== undefined ? radius : -1;
- }
- var _proto = Sphere.prototype;
- _proto.set = function set(center, radius) {
- this.center.copy(center);
- this.radius = radius;
- return this;
- };
- _proto.setFromPoints = function setFromPoints(points, optionalCenter) {
- var center = this.center;
- if (optionalCenter !== undefined) {
- center.copy(optionalCenter);
- } else {
- _box$1.setFromPoints(points).getCenter(center);
- }
- var maxRadiusSq = 0;
- for (var i = 0, il = points.length; i < il; i++) {
- maxRadiusSq = Math.max(maxRadiusSq, center.distanceToSquared(points[i]));
- }
- this.radius = Math.sqrt(maxRadiusSq);
- return this;
- };
- _proto.clone = function clone() {
- return new this.constructor().copy(this);
- };
- _proto.copy = function copy(sphere) {
- this.center.copy(sphere.center);
- this.radius = sphere.radius;
- return this;
- };
- _proto.isEmpty = function isEmpty() {
- return this.radius < 0;
- };
- _proto.makeEmpty = function makeEmpty() {
- this.center.set(0, 0, 0);
- this.radius = -1;
- return this;
- };
- _proto.containsPoint = function containsPoint(point) {
- return point.distanceToSquared(this.center) <= this.radius * this.radius;
- };
- _proto.distanceToPoint = function distanceToPoint(point) {
- return point.distanceTo(this.center) - this.radius;
- };
- _proto.intersectsSphere = function intersectsSphere(sphere) {
- var radiusSum = this.radius + sphere.radius;
- return sphere.center.distanceToSquared(this.center) <= radiusSum * radiusSum;
- };
- _proto.intersectsBox = function intersectsBox(box) {
- return box.intersectsSphere(this);
- };
- _proto.intersectsPlane = function intersectsPlane(plane) {
- return Math.abs(plane.distanceToPoint(this.center)) <= this.radius;
- };
- _proto.clampPoint = function clampPoint(point, target) {
- var deltaLengthSq = this.center.distanceToSquared(point);
- if (target === undefined) {
- console.warn('THREE.Sphere: .clampPoint() target is now required');
- target = new Vector3();
- }
- target.copy(point);
- if (deltaLengthSq > this.radius * this.radius) {
- target.sub(this.center).normalize();
- target.multiplyScalar(this.radius).add(this.center);
- }
- return target;
- };
- _proto.getBoundingBox = function getBoundingBox(target) {
- if (target === undefined) {
- console.warn('THREE.Sphere: .getBoundingBox() target is now required');
- target = new Box3();
- }
- if (this.isEmpty()) {
- target.makeEmpty();
- return target;
- }
- target.set(this.center, this.center);
- target.expandByScalar(this.radius);
- return target;
- };
- _proto.applyMatrix4 = function applyMatrix4(matrix) {
- this.center.applyMatrix4(matrix);
- this.radius = this.radius * matrix.getMaxScaleOnAxis();
- return this;
- };
- _proto.translate = function translate(offset) {
- this.center.add(offset);
- return this;
- };
- _proto.equals = function equals(sphere) {
- return sphere.center.equals(this.center) && sphere.radius === this.radius;
- };
- return Sphere;
- }();
- var _vector$2 = /*@__PURE__*/new Vector3();
- var _segCenter = /*@__PURE__*/new Vector3();
- var _segDir = /*@__PURE__*/new Vector3();
- var _diff = /*@__PURE__*/new Vector3();
- var _edge1 = /*@__PURE__*/new Vector3();
- var _edge2 = /*@__PURE__*/new Vector3();
- var _normal = /*@__PURE__*/new Vector3();
- var Ray = /*#__PURE__*/function () {
- function Ray(origin, direction) {
- this.origin = origin !== undefined ? origin : new Vector3();
- this.direction = direction !== undefined ? direction : new Vector3(0, 0, -1);
- }
- var _proto = Ray.prototype;
- _proto.set = function set(origin, direction) {
- this.origin.copy(origin);
- this.direction.copy(direction);
- return this;
- };
- _proto.clone = function clone() {
- return new this.constructor().copy(this);
- };
- _proto.copy = function copy(ray) {
- this.origin.copy(ray.origin);
- this.direction.copy(ray.direction);
- return this;
- };
- _proto.at = function at(t, target) {
- if (target === undefined) {
- console.warn('THREE.Ray: .at() target is now required');
- target = new Vector3();
- }
- return target.copy(this.direction).multiplyScalar(t).add(this.origin);
- };
- _proto.lookAt = function lookAt(v) {
- this.direction.copy(v).sub(this.origin).normalize();
- return this;
- };
- _proto.recast = function recast(t) {
- this.origin.copy(this.at(t, _vector$2));
- return this;
- };
- _proto.closestPointToPoint = function closestPointToPoint(point, target) {
- if (target === undefined) {
- console.warn('THREE.Ray: .closestPointToPoint() target is now required');
- target = new Vector3();
- }
- target.subVectors(point, this.origin);
- var directionDistance = target.dot(this.direction);
- if (directionDistance < 0) {
- return target.copy(this.origin);
- }
- return target.copy(this.direction).multiplyScalar(directionDistance).add(this.origin);
- };
- _proto.distanceToPoint = function distanceToPoint(point) {
- return Math.sqrt(this.distanceSqToPoint(point));
- };
- _proto.distanceSqToPoint = function distanceSqToPoint(point) {
- var directionDistance = _vector$2.subVectors(point, this.origin).dot(this.direction); // point behind the ray
-
- if (directionDistance < 0) {
- return this.origin.distanceToSquared(point);
- }
- _vector$2.copy(this.direction).multiplyScalar(directionDistance).add(this.origin);
- return _vector$2.distanceToSquared(point);
- };
- _proto.distanceSqToSegment = function distanceSqToSegment(v0, v1, optionalPointOnRay, optionalPointOnSegment) {
- _segCenter.copy(v0).add(v1).multiplyScalar(0.5);
- _segDir.copy(v1).sub(v0).normalize();
- _diff.copy(this.origin).sub(_segCenter);
- var segExtent = v0.distanceTo(v1) * 0.5;
- var a01 = -this.direction.dot(_segDir);
- var b0 = _diff.dot(this.direction);
- var b1 = -_diff.dot(_segDir);
- var c = _diff.lengthSq();
- var det = Math.abs(1 - a01 * a01);
- var s0, s1, sqrDist, extDet;
- if (det > 0) {
- s0 = a01 * b1 - b0;
- s1 = a01 * b0 - b1;
- extDet = segExtent * det;
- if (s0 >= 0) {
- if (s1 >= -extDet) {
- if (s1 <= extDet) {
- var invDet = 1 / det;
- s0 *= invDet;
- s1 *= invDet;
- sqrDist = s0 * (s0 + a01 * s1 + 2 * b0) + s1 * (a01 * s0 + s1 + 2 * b1) + c;
- } else {
- s1 = segExtent;
- s0 = Math.max(0, -(a01 * s1 + b0));
- sqrDist = -s0 * s0 + s1 * (s1 + 2 * b1) + c;
- }
- } else {
- s1 = -segExtent;
- s0 = Math.max(0, -(a01 * s1 + b0));
- sqrDist = -s0 * s0 + s1 * (s1 + 2 * b1) + c;
- }
- } else {
- if (s1 <= -extDet) {
- s0 = Math.max(0, -(-a01 * segExtent + b0));
- s1 = s0 > 0 ? -segExtent : Math.min(Math.max(-segExtent, -b1), segExtent);
- sqrDist = -s0 * s0 + s1 * (s1 + 2 * b1) + c;
- } else if (s1 <= extDet) {
- s0 = 0;
- s1 = Math.min(Math.max(-segExtent, -b1), segExtent);
- sqrDist = s1 * (s1 + 2 * b1) + c;
- } else {
- s0 = Math.max(0, -(a01 * segExtent + b0));
- s1 = s0 > 0 ? segExtent : Math.min(Math.max(-segExtent, -b1), segExtent);
- sqrDist = -s0 * s0 + s1 * (s1 + 2 * b1) + c;
- }
- }
- } else {
- s1 = a01 > 0 ? -segExtent : segExtent;
- s0 = Math.max(0, -(a01 * s1 + b0));
- sqrDist = -s0 * s0 + s1 * (s1 + 2 * b1) + c;
- }
- if (optionalPointOnRay) {
- optionalPointOnRay.copy(this.direction).multiplyScalar(s0).add(this.origin);
- }
- if (optionalPointOnSegment) {
- optionalPointOnSegment.copy(_segDir).multiplyScalar(s1).add(_segCenter);
- }
- return sqrDist;
- };
- _proto.intersectSphere = function intersectSphere(sphere, target) {
- _vector$2.subVectors(sphere.center, this.origin);
- var tca = _vector$2.dot(this.direction);
- var d2 = _vector$2.dot(_vector$2) - tca * tca;
- var radius2 = sphere.radius * sphere.radius;
- if (d2 > radius2) return null;
- var thc = Math.sqrt(radius2 - d2);
- var t0 = tca - thc;
- var t1 = tca + thc;
- if (t0 < 0 && t1 < 0) return null;
- if (t0 < 0) return this.at(t1, target);
- return this.at(t0, target);
- };
- _proto.intersectsSphere = function intersectsSphere(sphere) {
- return this.distanceSqToPoint(sphere.center) <= sphere.radius * sphere.radius;
- };
- _proto.distanceToPlane = function distanceToPlane(plane) {
- var denominator = plane.normal.dot(this.direction);
- if (denominator === 0) {
- if (plane.distanceToPoint(this.origin) === 0) {
- return 0;
- }
- return null;
- }
- var t = -(this.origin.dot(plane.normal) + plane.constant) / denominator;
- return t >= 0 ? t : null;
- };
- _proto.intersectPlane = function intersectPlane(plane, target) {
- var t = this.distanceToPlane(plane);
- if (t === null) {
- return null;
- }
- return this.at(t, target);
- };
- _proto.intersectsPlane = function intersectsPlane(plane) {
- var distToPoint = plane.distanceToPoint(this.origin);
- if (distToPoint === 0) {
- return true;
- }
- var denominator = plane.normal.dot(this.direction);
- if (denominator * distToPoint < 0) {
- return true;
- }
- return false;
- };
- _proto.intersectBox = function intersectBox(box, target) {
- var tmin, tmax, tymin, tymax, tzmin, tzmax;
- var invdirx = 1 / this.direction.x,
- invdiry = 1 / this.direction.y,
- invdirz = 1 / this.direction.z;
- var origin = this.origin;
- if (invdirx >= 0) {
- tmin = (box.min.x - origin.x) * invdirx;
- tmax = (box.max.x - origin.x) * invdirx;
- } else {
- tmin = (box.max.x - origin.x) * invdirx;
- tmax = (box.min.x - origin.x) * invdirx;
- }
- if (invdiry >= 0) {
- tymin = (box.min.y - origin.y) * invdiry;
- tymax = (box.max.y - origin.y) * invdiry;
- } else {
- tymin = (box.max.y - origin.y) * invdiry;
- tymax = (box.min.y - origin.y) * invdiry;
- }
- if (tmin > tymax || tymin > tmax) return null;
- if (tymin > tmin || tmin !== tmin) tmin = tymin;
- if (tymax < tmax || tmax !== tmax) tmax = tymax;
- if (invdirz >= 0) {
- tzmin = (box.min.z - origin.z) * invdirz;
- tzmax = (box.max.z - origin.z) * invdirz;
- } else {
- tzmin = (box.max.z - origin.z) * invdirz;
- tzmax = (box.min.z - origin.z) * invdirz;
- }
- if (tmin > tzmax || tzmin > tmax) return null;
- if (tzmin > tmin || tmin !== tmin) tmin = tzmin;
- if (tzmax < tmax || tmax !== tmax) tmax = tzmax;
- if (tmax < 0) return null;
- return this.at(tmin >= 0 ? tmin : tmax, target);
- };
- _proto.intersectsBox = function intersectsBox(box) {
- return this.intersectBox(box, _vector$2) !== null;
- };
- _proto.intersectTriangle = function intersectTriangle(a, b, c, backfaceCulling, target) {
- _edge1.subVectors(b, a);
- _edge2.subVectors(c, a);
- _normal.crossVectors(_edge1, _edge2);
- var DdN = this.direction.dot(_normal);
- var sign;
- if (DdN > 0) {
- if (backfaceCulling) return null;
- sign = 1;
- } else if (DdN < 0) {
- sign = -1;
- DdN = -DdN;
- } else {
- return null;
- }
- _diff.subVectors(this.origin, a);
- var DdQxE2 = sign * this.direction.dot(_edge2.crossVectors(_diff, _edge2));
- if (DdQxE2 < 0) {
- return null;
- }
- var DdE1xQ = sign * this.direction.dot(_edge1.cross(_diff));
- if (DdE1xQ < 0) {
- return null;
- }
- if (DdQxE2 + DdE1xQ > DdN) {
- return null;
- }
- var QdN = -sign * _diff.dot(_normal);
- if (QdN < 0) {
- return null;
- }
- return this.at(QdN / DdN, target);
- };
- _proto.applyMatrix4 = function applyMatrix4(matrix4) {
- this.origin.applyMatrix4(matrix4);
- this.direction.transformDirection(matrix4);
- return this;
- };
- _proto.equals = function equals(ray) {
- return ray.origin.equals(this.origin) && ray.direction.equals(this.direction);
- };
- return Ray;
- }();
- var Matrix4 = /*#__PURE__*/function () {
- function Matrix4() {
- Object.defineProperty(this, 'isMatrix4', {
- value: true
- });
- this.elements = [1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1];
- if (arguments.length > 0) {
- console.error('THREE.Matrix4: the constructor no longer reads arguments. use .set() instead.');
- }
- }
- var _proto = Matrix4.prototype;
- _proto.set = function set(n11, n12, n13, n14, n21, n22, n23, n24, n31, n32, n33, n34, n41, n42, n43, n44) {
- var te = this.elements;
- te[0] = n11;
- te[4] = n12;
- te[8] = n13;
- te[12] = n14;
- te[1] = n21;
- te[5] = n22;
- te[9] = n23;
- te[13] = n24;
- te[2] = n31;
- te[6] = n32;
- te[10] = n33;
- te[14] = n34;
- te[3] = n41;
- te[7] = n42;
- te[11] = n43;
- te[15] = n44;
- return this;
- };
- _proto.identity = function identity() {
- this.set(1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1);
- return this;
- };
- _proto.clone = function clone() {
- return new Matrix4().fromArray(this.elements);
- };
- _proto.copy = function copy(m) {
- var te = this.elements;
- var me = m.elements;
- te[0] = me[0];
- te[1] = me[1];
- te[2] = me[2];
- te[3] = me[3];
- te[4] = me[4];
- te[5] = me[5];
- te[6] = me[6];
- te[7] = me[7];
- te[8] = me[8];
- te[9] = me[9];
- te[10] = me[10];
- te[11] = me[11];
- te[12] = me[12];
- te[13] = me[13];
- te[14] = me[14];
- te[15] = me[15];
- return this;
- };
- _proto.copyPosition = function copyPosition(m) {
- var te = this.elements,
- me = m.elements;
- te[12] = me[12];
- te[13] = me[13];
- te[14] = me[14];
- return this;
- };
- _proto.extractBasis = function extractBasis(xAxis, yAxis, zAxis) {
- xAxis.setFromMatrixColumn(this, 0);
- yAxis.setFromMatrixColumn(this, 1);
- zAxis.setFromMatrixColumn(this, 2);
- return this;
- };
- _proto.makeBasis = function makeBasis(xAxis, yAxis, zAxis) {
- this.set(xAxis.x, yAxis.x, zAxis.x, 0, xAxis.y, yAxis.y, zAxis.y, 0, xAxis.z, yAxis.z, zAxis.z, 0, 0, 0, 0, 1);
- return this;
- };
- _proto.extractRotation = function extractRotation(m) {
- var te = this.elements;
- var me = m.elements;
- var scaleX = 1 / _v1$1.setFromMatrixColumn(m, 0).length();
- var scaleY = 1 / _v1$1.setFromMatrixColumn(m, 1).length();
- var scaleZ = 1 / _v1$1.setFromMatrixColumn(m, 2).length();
- te[0] = me[0] * scaleX;
- te[1] = me[1] * scaleX;
- te[2] = me[2] * scaleX;
- te[3] = 0;
- te[4] = me[4] * scaleY;
- te[5] = me[5] * scaleY;
- te[6] = me[6] * scaleY;
- te[7] = 0;
- te[8] = me[8] * scaleZ;
- te[9] = me[9] * scaleZ;
- te[10] = me[10] * scaleZ;
- te[11] = 0;
- te[12] = 0;
- te[13] = 0;
- te[14] = 0;
- te[15] = 1;
- return this;
- };
- _proto.makeRotationFromEuler = function makeRotationFromEuler(euler) {
- if (!(euler && euler.isEuler)) {
- console.error('THREE.Matrix4: .makeRotationFromEuler() now expects a Euler rotation rather than a Vector3 and order.');
- }
- var te = this.elements;
- var x = euler.x,
- y = euler.y,
- z = euler.z;
- var a = Math.cos(x),
- b = Math.sin(x);
- var c = Math.cos(y),
- d = Math.sin(y);
- var e = Math.cos(z),
- f = Math.sin(z);
- if (euler.order === 'XYZ') {
- var ae = a * e,
- af = a * f,
- be = b * e,
- bf = b * f;
- te[0] = c * e;
- te[4] = -c * f;
- te[8] = d;
- te[1] = af + be * d;
- te[5] = ae - bf * d;
- te[9] = -b * c;
- te[2] = bf - ae * d;
- te[6] = be + af * d;
- te[10] = a * c;
- } else if (euler.order === 'YXZ') {
- var ce = c * e,
- cf = c * f,
- de = d * e,
- df = d * f;
- te[0] = ce + df * b;
- te[4] = de * b - cf;
- te[8] = a * d;
- te[1] = a * f;
- te[5] = a * e;
- te[9] = -b;
- te[2] = cf * b - de;
- te[6] = df + ce * b;
- te[10] = a * c;
- } else if (euler.order === 'ZXY') {
- var _ce = c * e,
- _cf = c * f,
- _de = d * e,
- _df = d * f;
- te[0] = _ce - _df * b;
- te[4] = -a * f;
- te[8] = _de + _cf * b;
- te[1] = _cf + _de * b;
- te[5] = a * e;
- te[9] = _df - _ce * b;
- te[2] = -a * d;
- te[6] = b;
- te[10] = a * c;
- } else if (euler.order === 'ZYX') {
- var _ae = a * e,
- _af = a * f,
- _be = b * e,
- _bf = b * f;
- te[0] = c * e;
- te[4] = _be * d - _af;
- te[8] = _ae * d + _bf;
- te[1] = c * f;
- te[5] = _bf * d + _ae;
- te[9] = _af * d - _be;
- te[2] = -d;
- te[6] = b * c;
- te[10] = a * c;
- } else if (euler.order === 'YZX') {
- var ac = a * c,
- ad = a * d,
- bc = b * c,
- bd = b * d;
- te[0] = c * e;
- te[4] = bd - ac * f;
- te[8] = bc * f + ad;
- te[1] = f;
- te[5] = a * e;
- te[9] = -b * e;
- te[2] = -d * e;
- te[6] = ad * f + bc;
- te[10] = ac - bd * f;
- } else if (euler.order === 'XZY') {
- var _ac = a * c,
- _ad = a * d,
- _bc = b * c,
- _bd = b * d;
- te[0] = c * e;
- te[4] = -f;
- te[8] = d * e;
- te[1] = _ac * f + _bd;
- te[5] = a * e;
- te[9] = _ad * f - _bc;
- te[2] = _bc * f - _ad;
- te[6] = b * e;
- te[10] = _bd * f + _ac;
- }
- te[3] = 0;
- te[7] = 0;
- te[11] = 0;
- te[12] = 0;
- te[13] = 0;
- te[14] = 0;
- te[15] = 1;
- return this;
- };
- _proto.makeRotationFromQuaternion = function makeRotationFromQuaternion(q) {
- return this.compose(_zero, q, _one);
- };
- _proto.lookAt = function lookAt(eye, target, up) {
- var te = this.elements;
- _z.subVectors(eye, target);
- if (_z.lengthSq() === 0) {
- _z.z = 1;
- }
- _z.normalize();
- _x.crossVectors(up, _z);
- if (_x.lengthSq() === 0) {
- if (Math.abs(up.z) === 1) {
- _z.x += 0.0001;
- } else {
- _z.z += 0.0001;
- }
- _z.normalize();
- _x.crossVectors(up, _z);
- }
- _x.normalize();
- _y.crossVectors(_z, _x);
- te[0] = _x.x;
- te[4] = _y.x;
- te[8] = _z.x;
- te[1] = _x.y;
- te[5] = _y.y;
- te[9] = _z.y;
- te[2] = _x.z;
- te[6] = _y.z;
- te[10] = _z.z;
- return this;
- };
- _proto.multiply = function multiply(m, n) {
- if (n !== undefined) {
- console.warn('THREE.Matrix4: .multiply() now only accepts one argument. Use .multiplyMatrices( a, b ) instead.');
- return this.multiplyMatrices(m, n);
- }
- return this.multiplyMatrices(this, m);
- };
- _proto.premultiply = function premultiply(m) {
- return this.multiplyMatrices(m, this);
- };
- _proto.multiplyMatrices = function multiplyMatrices(a, b) {
- var ae = a.elements;
- var be = b.elements;
- var te = this.elements;
- var a11 = ae[0],
- a12 = ae[4],
- a13 = ae[8],
- a14 = ae[12];
- var a21 = ae[1],
- a22 = ae[5],
- a23 = ae[9],
- a24 = ae[13];
- var a31 = ae[2],
- a32 = ae[6],
- a33 = ae[10],
- a34 = ae[14];
- var a41 = ae[3],
- a42 = ae[7],
- a43 = ae[11],
- a44 = ae[15];
- var b11 = be[0],
- b12 = be[4],
- b13 = be[8],
- b14 = be[12];
- var b21 = be[1],
- b22 = be[5],
- b23 = be[9],
- b24 = be[13];
- var b31 = be[2],
- b32 = be[6],
- b33 = be[10],
- b34 = be[14];
- var b41 = be[3],
- b42 = be[7],
- b43 = be[11],
- b44 = be[15];
- te[0] = a11 * b11 + a12 * b21 + a13 * b31 + a14 * b41;
- te[4] = a11 * b12 + a12 * b22 + a13 * b32 + a14 * b42;
- te[8] = a11 * b13 + a12 * b23 + a13 * b33 + a14 * b43;
- te[12] = a11 * b14 + a12 * b24 + a13 * b34 + a14 * b44;
- te[1] = a21 * b11 + a22 * b21 + a23 * b31 + a24 * b41;
- te[5] = a21 * b12 + a22 * b22 + a23 * b32 + a24 * b42;
- te[9] = a21 * b13 + a22 * b23 + a23 * b33 + a24 * b43;
- te[13] = a21 * b14 + a22 * b24 + a23 * b34 + a24 * b44;
- te[2] = a31 * b11 + a32 * b21 + a33 * b31 + a34 * b41;
- te[6] = a31 * b12 + a32 * b22 + a33 * b32 + a34 * b42;
- te[10] = a31 * b13 + a32 * b23 + a33 * b33 + a34 * b43;
- te[14] = a31 * b14 + a32 * b24 + a33 * b34 + a34 * b44;
- te[3] = a41 * b11 + a42 * b21 + a43 * b31 + a44 * b41;
- te[7] = a41 * b12 + a42 * b22 + a43 * b32 + a44 * b42;
- te[11] = a41 * b13 + a42 * b23 + a43 * b33 + a44 * b43;
- te[15] = a41 * b14 + a42 * b24 + a43 * b34 + a44 * b44;
- return this;
- };
- _proto.multiplyScalar = function multiplyScalar(s) {
- var te = this.elements;
- te[0] *= s;
- te[4] *= s;
- te[8] *= s;
- te[12] *= s;
- te[1] *= s;
- te[5] *= s;
- te[9] *= s;
- te[13] *= s;
- te[2] *= s;
- te[6] *= s;
- te[10] *= s;
- te[14] *= s;
- te[3] *= s;
- te[7] *= s;
- te[11] *= s;
- te[15] *= s;
- return this;
- };
- _proto.determinant = function determinant() {
- var te = this.elements;
- var n11 = te[0],
- n12 = te[4],
- n13 = te[8],
- n14 = te[12];
- var n21 = te[1],
- n22 = te[5],
- n23 = te[9],
- n24 = te[13];
- var n31 = te[2],
- n32 = te[6],
- n33 = te[10],
- n34 = te[14];
- var n41 = te[3],
- n42 = te[7],
- n43 = te[11],
- n44 = te[15];
- return n41 * (+n14 * n23 * n32 - n13 * n24 * n32 - n14 * n22 * n33 + n12 * n24 * n33 + n13 * n22 * n34 - n12 * n23 * n34) + n42 * (+n11 * n23 * n34 - n11 * n24 * n33 + n14 * n21 * n33 - n13 * n21 * n34 + n13 * n24 * n31 - n14 * n23 * n31) + n43 * (+n11 * n24 * n32 - n11 * n22 * n34 - n14 * n21 * n32 + n12 * n21 * n34 + n14 * n22 * n31 - n12 * n24 * n31) + n44 * (-n13 * n22 * n31 - n11 * n23 * n32 + n11 * n22 * n33 + n13 * n21 * n32 - n12 * n21 * n33 + n12 * n23 * n31);
- };
- _proto.transpose = function transpose() {
- var te = this.elements;
- var tmp;
- tmp = te[1];
- te[1] = te[4];
- te[4] = tmp;
- tmp = te[2];
- te[2] = te[8];
- te[8] = tmp;
- tmp = te[6];
- te[6] = te[9];
- te[9] = tmp;
- tmp = te[3];
- te[3] = te[12];
- te[12] = tmp;
- tmp = te[7];
- te[7] = te[13];
- te[13] = tmp;
- tmp = te[11];
- te[11] = te[14];
- te[14] = tmp;
- return this;
- };
- _proto.setPosition = function setPosition(x, y, z) {
- var te = this.elements;
- if (x.isVector3) {
- te[12] = x.x;
- te[13] = x.y;
- te[14] = x.z;
- } else {
- te[12] = x;
- te[13] = y;
- te[14] = z;
- }
- return this;
- };
- _proto.invert = function invert() {
- var te = this.elements,
- n11 = te[0],
- n21 = te[1],
- n31 = te[2],
- n41 = te[3],
- n12 = te[4],
- n22 = te[5],
- n32 = te[6],
- n42 = te[7],
- n13 = te[8],
- n23 = te[9],
- n33 = te[10],
- n43 = te[11],
- n14 = te[12],
- n24 = te[13],
- n34 = te[14],
- n44 = te[15],
- t11 = n23 * n34 * n42 - n24 * n33 * n42 + n24 * n32 * n43 - n22 * n34 * n43 - n23 * n32 * n44 + n22 * n33 * n44,
- t12 = n14 * n33 * n42 - n13 * n34 * n42 - n14 * n32 * n43 + n12 * n34 * n43 + n13 * n32 * n44 - n12 * n33 * n44,
- t13 = n13 * n24 * n42 - n14 * n23 * n42 + n14 * n22 * n43 - n12 * n24 * n43 - n13 * n22 * n44 + n12 * n23 * n44,
- t14 = n14 * n23 * n32 - n13 * n24 * n32 - n14 * n22 * n33 + n12 * n24 * n33 + n13 * n22 * n34 - n12 * n23 * n34;
- var det = n11 * t11 + n21 * t12 + n31 * t13 + n41 * t14;
- if (det === 0) return this.set(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0);
- var detInv = 1 / det;
- te[0] = t11 * detInv;
- te[1] = (n24 * n33 * n41 - n23 * n34 * n41 - n24 * n31 * n43 + n21 * n34 * n43 + n23 * n31 * n44 - n21 * n33 * n44) * detInv;
- te[2] = (n22 * n34 * n41 - n24 * n32 * n41 + n24 * n31 * n42 - n21 * n34 * n42 - n22 * n31 * n44 + n21 * n32 * n44) * detInv;
- te[3] = (n23 * n32 * n41 - n22 * n33 * n41 - n23 * n31 * n42 + n21 * n33 * n42 + n22 * n31 * n43 - n21 * n32 * n43) * detInv;
- te[4] = t12 * detInv;
- te[5] = (n13 * n34 * n41 - n14 * n33 * n41 + n14 * n31 * n43 - n11 * n34 * n43 - n13 * n31 * n44 + n11 * n33 * n44) * detInv;
- te[6] = (n14 * n32 * n41 - n12 * n34 * n41 - n14 * n31 * n42 + n11 * n34 * n42 + n12 * n31 * n44 - n11 * n32 * n44) * detInv;
- te[7] = (n12 * n33 * n41 - n13 * n32 * n41 + n13 * n31 * n42 - n11 * n33 * n42 - n12 * n31 * n43 + n11 * n32 * n43) * detInv;
- te[8] = t13 * detInv;
- te[9] = (n14 * n23 * n41 - n13 * n24 * n41 - n14 * n21 * n43 + n11 * n24 * n43 + n13 * n21 * n44 - n11 * n23 * n44) * detInv;
- te[10] = (n12 * n24 * n41 - n14 * n22 * n41 + n14 * n21 * n42 - n11 * n24 * n42 - n12 * n21 * n44 + n11 * n22 * n44) * detInv;
- te[11] = (n13 * n22 * n41 - n12 * n23 * n41 - n13 * n21 * n42 + n11 * n23 * n42 + n12 * n21 * n43 - n11 * n22 * n43) * detInv;
- te[12] = t14 * detInv;
- te[13] = (n13 * n24 * n31 - n14 * n23 * n31 + n14 * n21 * n33 - n11 * n24 * n33 - n13 * n21 * n34 + n11 * n23 * n34) * detInv;
- te[14] = (n14 * n22 * n31 - n12 * n24 * n31 - n14 * n21 * n32 + n11 * n24 * n32 + n12 * n21 * n34 - n11 * n22 * n34) * detInv;
- te[15] = (n12 * n23 * n31 - n13 * n22 * n31 + n13 * n21 * n32 - n11 * n23 * n32 - n12 * n21 * n33 + n11 * n22 * n33) * detInv;
- return this;
- };
- _proto.scale = function scale(v) {
- var te = this.elements;
- var x = v.x,
- y = v.y,
- z = v.z;
- te[0] *= x;
- te[4] *= y;
- te[8] *= z;
- te[1] *= x;
- te[5] *= y;
- te[9] *= z;
- te[2] *= x;
- te[6] *= y;
- te[10] *= z;
- te[3] *= x;
- te[7] *= y;
- te[11] *= z;
- return this;
- };
- _proto.getMaxScaleOnAxis = function getMaxScaleOnAxis() {
- var te = this.elements;
- var scaleXSq = te[0] * te[0] + te[1] * te[1] + te[2] * te[2];
- var scaleYSq = te[4] * te[4] + te[5] * te[5] + te[6] * te[6];
- var scaleZSq = te[8] * te[8] + te[9] * te[9] + te[10] * te[10];
- return Math.sqrt(Math.max(scaleXSq, scaleYSq, scaleZSq));
- };
- _proto.makeTranslation = function makeTranslation(x, y, z) {
- this.set(1, 0, 0, x, 0, 1, 0, y, 0, 0, 1, z, 0, 0, 0, 1);
- return this;
- };
- _proto.makeRotationX = function makeRotationX(theta) {
- var c = Math.cos(theta),
- s = Math.sin(theta);
- this.set(1, 0, 0, 0, 0, c, -s, 0, 0, s, c, 0, 0, 0, 0, 1);
- return this;
- };
- _proto.makeRotationY = function makeRotationY(theta) {
- var c = Math.cos(theta),
- s = Math.sin(theta);
- this.set(c, 0, s, 0, 0, 1, 0, 0, -s, 0, c, 0, 0, 0, 0, 1);
- return this;
- };
- _proto.makeRotationZ = function makeRotationZ(theta) {
- var c = Math.cos(theta),
- s = Math.sin(theta);
- this.set(c, -s, 0, 0, s, c, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1);
- return this;
- };
- _proto.makeRotationAxis = function makeRotationAxis(axis, angle) {
- var c = Math.cos(angle);
- var s = Math.sin(angle);
- var t = 1 - c;
- var x = axis.x,
- y = axis.y,
- z = axis.z;
- var tx = t * x,
- ty = t * y;
- this.set(tx * x + c, tx * y - s * z, tx * z + s * y, 0, tx * y + s * z, ty * y + c, ty * z - s * x, 0, tx * z - s * y, ty * z + s * x, t * z * z + c, 0, 0, 0, 0, 1);
- return this;
- };
- _proto.makeScale = function makeScale(x, y, z) {
- this.set(x, 0, 0, 0, 0, y, 0, 0, 0, 0, z, 0, 0, 0, 0, 1);
- return this;
- };
- _proto.makeShear = function makeShear(x, y, z) {
- this.set(1, y, z, 0, x, 1, z, 0, x, y, 1, 0, 0, 0, 0, 1);
- return this;
- };
- _proto.compose = function compose(position, quaternion, scale) {
- var te = this.elements;
- var x = quaternion._x,
- y = quaternion._y,
- z = quaternion._z,
- w = quaternion._w;
- var x2 = x + x,
- y2 = y + y,
- z2 = z + z;
- var xx = x * x2,
- xy = x * y2,
- xz = x * z2;
- var yy = y * y2,
- yz = y * z2,
- zz = z * z2;
- var wx = w * x2,
- wy = w * y2,
- wz = w * z2;
- var sx = scale.x,
- sy = scale.y,
- sz = scale.z;
- te[0] = (1 - (yy + zz)) * sx;
- te[1] = (xy + wz) * sx;
- te[2] = (xz - wy) * sx;
- te[3] = 0;
- te[4] = (xy - wz) * sy;
- te[5] = (1 - (xx + zz)) * sy;
- te[6] = (yz + wx) * sy;
- te[7] = 0;
- te[8] = (xz + wy) * sz;
- te[9] = (yz - wx) * sz;
- te[10] = (1 - (xx + yy)) * sz;
- te[11] = 0;
- te[12] = position.x;
- te[13] = position.y;
- te[14] = position.z;
- te[15] = 1;
- return this;
- };
- _proto.decompose = function decompose(position, quaternion, scale) {
- var te = this.elements;
- var sx = _v1$1.set(te[0], te[1], te[2]).length();
- var sy = _v1$1.set(te[4], te[5], te[6]).length();
- var sz = _v1$1.set(te[8], te[9], te[10]).length();
- var det = this.determinant();
- if (det < 0) sx = -sx;
- position.x = te[12];
- position.y = te[13];
- position.z = te[14];
- _m1.copy(this);
- var invSX = 1 / sx;
- var invSY = 1 / sy;
- var invSZ = 1 / sz;
- _m1.elements[0] *= invSX;
- _m1.elements[1] *= invSX;
- _m1.elements[2] *= invSX;
- _m1.elements[4] *= invSY;
- _m1.elements[5] *= invSY;
- _m1.elements[6] *= invSY;
- _m1.elements[8] *= invSZ;
- _m1.elements[9] *= invSZ;
- _m1.elements[10] *= invSZ;
- quaternion.setFromRotationMatrix(_m1);
- scale.x = sx;
- scale.y = sy;
- scale.z = sz;
- return this;
- };
- _proto.makePerspective = function makePerspective(left, right, top, bottom, near, far) {
- if (far === undefined) {
- console.warn('THREE.Matrix4: .makePerspective() has been redefined and has a new signature. Please check the docs.');
- }
- var te = this.elements;
- var x = 2 * near / (right - left);
- var y = 2 * near / (top - bottom);
- var a = (right + left) / (right - left);
- var b = (top + bottom) / (top - bottom);
- var c = -(far + near) / (far - near);
- var d = -2 * far * near / (far - near);
- te[0] = x;
- te[4] = 0;
- te[8] = a;
- te[12] = 0;
- te[1] = 0;
- te[5] = y;
- te[9] = b;
- te[13] = 0;
- te[2] = 0;
- te[6] = 0;
- te[10] = c;
- te[14] = d;
- te[3] = 0;
- te[7] = 0;
- te[11] = -1;
- te[15] = 0;
- return this;
- };
- _proto.makeOrthographic = function makeOrthographic(left, right, top, bottom, near, far) {
- var te = this.elements;
- var w = 1.0 / (right - left);
- var h = 1.0 / (top - bottom);
- var p = 1.0 / (far - near);
- var x = (right + left) * w;
- var y = (top + bottom) * h;
- var z = (far + near) * p;
- te[0] = 2 * w;
- te[4] = 0;
- te[8] = 0;
- te[12] = -x;
- te[1] = 0;
- te[5] = 2 * h;
- te[9] = 0;
- te[13] = -y;
- te[2] = 0;
- te[6] = 0;
- te[10] = -2 * p;
- te[14] = -z;
- te[3] = 0;
- te[7] = 0;
- te[11] = 0;
- te[15] = 1;
- return this;
- };
- _proto.equals = function equals(matrix) {
- var te = this.elements;
- var me = matrix.elements;
- for (var i = 0; i < 16; i++) {
- if (te[i] !== me[i]) return false;
- }
- return true;
- };
- _proto.fromArray = function fromArray(array, offset) {
- if (offset === void 0) {
- offset = 0;
- }
- for (var i = 0; i < 16; i++) {
- this.elements[i] = array[i + offset];
- }
- return this;
- };
- _proto.toArray = function toArray(array, offset) {
- if (array === void 0) {
- array = [];
- }
- if (offset === void 0) {
- offset = 0;
- }
- var te = this.elements;
- array[offset] = te[0];
- array[offset + 1] = te[1];
- array[offset + 2] = te[2];
- array[offset + 3] = te[3];
- array[offset + 4] = te[4];
- array[offset + 5] = te[5];
- array[offset + 6] = te[6];
- array[offset + 7] = te[7];
- array[offset + 8] = te[8];
- array[offset + 9] = te[9];
- array[offset + 10] = te[10];
- array[offset + 11] = te[11];
- array[offset + 12] = te[12];
- array[offset + 13] = te[13];
- array[offset + 14] = te[14];
- array[offset + 15] = te[15];
- return array;
- };
- return Matrix4;
- }();
- var _v1$1 = /*@__PURE__*/new Vector3();
- var _m1 = /*@__PURE__*/new Matrix4();
- var _zero = /*@__PURE__*/new Vector3(0, 0, 0);
- var _one = /*@__PURE__*/new Vector3(1, 1, 1);
- var _x = /*@__PURE__*/new Vector3();
- var _y = /*@__PURE__*/new Vector3();
- var _z = /*@__PURE__*/new Vector3();
- var Euler = /*#__PURE__*/function () {
- function Euler(x, y, z, order) {
- if (x === void 0) {
- x = 0;
- }
- if (y === void 0) {
- y = 0;
- }
- if (z === void 0) {
- z = 0;
- }
- if (order === void 0) {
- order = Euler.DefaultOrder;
- }
- Object.defineProperty(this, 'isEuler', {
- value: true
- });
- this._x = x;
- this._y = y;
- this._z = z;
- this._order = order;
- }
- var _proto = Euler.prototype;
- _proto.set = function set(x, y, z, order) {
- this._x = x;
- this._y = y;
- this._z = z;
- this._order = order || this._order;
- this._onChangeCallback();
- return this;
- };
- _proto.clone = function clone() {
- return new this.constructor(this._x, this._y, this._z, this._order);
- };
- _proto.copy = function copy(euler) {
- this._x = euler._x;
- this._y = euler._y;
- this._z = euler._z;
- this._order = euler._order;
- this._onChangeCallback();
- return this;
- };
- _proto.setFromRotationMatrix = function setFromRotationMatrix(m, order, update) {
- var clamp = MathUtils.clamp; // assumes the upper 3x3 of m is a pure rotation matrix (i.e, unscaled)
- var te = m.elements;
- var m11 = te[0],
- m12 = te[4],
- m13 = te[8];
- var m21 = te[1],
- m22 = te[5],
- m23 = te[9];
- var m31 = te[2],
- m32 = te[6],
- m33 = te[10];
- order = order || this._order;
- switch (order) {
- case 'XYZ':
- this._y = Math.asin(clamp(m13, -1, 1));
- if (Math.abs(m13) < 0.9999999) {
- this._x = Math.atan2(-m23, m33);
- this._z = Math.atan2(-m12, m11);
- } else {
- this._x = Math.atan2(m32, m22);
- this._z = 0;
- }
- break;
- case 'YXZ':
- this._x = Math.asin(-clamp(m23, -1, 1));
- if (Math.abs(m23) < 0.9999999) {
- this._y = Math.atan2(m13, m33);
- this._z = Math.atan2(m21, m22);
- } else {
- this._y = Math.atan2(-m31, m11);
- this._z = 0;
- }
- break;
- case 'ZXY':
- this._x = Math.asin(clamp(m32, -1, 1));
- if (Math.abs(m32) < 0.9999999) {
- this._y = Math.atan2(-m31, m33);
- this._z = Math.atan2(-m12, m22);
- } else {
- this._y = 0;
- this._z = Math.atan2(m21, m11);
- }
- break;
- case 'ZYX':
- this._y = Math.asin(-clamp(m31, -1, 1));
- if (Math.abs(m31) < 0.9999999) {
- this._x = Math.atan2(m32, m33);
- this._z = Math.atan2(m21, m11);
- } else {
- this._x = 0;
- this._z = Math.atan2(-m12, m22);
- }
- break;
- case 'YZX':
- this._z = Math.asin(clamp(m21, -1, 1));
- if (Math.abs(m21) < 0.9999999) {
- this._x = Math.atan2(-m23, m22);
- this._y = Math.atan2(-m31, m11);
- } else {
- this._x = 0;
- this._y = Math.atan2(m13, m33);
- }
- break;
- case 'XZY':
- this._z = Math.asin(-clamp(m12, -1, 1));
- if (Math.abs(m12) < 0.9999999) {
- this._x = Math.atan2(m32, m22);
- this._y = Math.atan2(m13, m11);
- } else {
- this._x = Math.atan2(-m23, m33);
- this._y = 0;
- }
- break;
- default:
- console.warn('THREE.Euler: .setFromRotationMatrix() encountered an unknown order: ' + order);
- }
- this._order = order;
- if (update !== false) this._onChangeCallback();
- return this;
- };
- _proto.setFromQuaternion = function setFromQuaternion(q, order, update) {
- _matrix.makeRotationFromQuaternion(q);
- return this.setFromRotationMatrix(_matrix, order, update);
- };
- _proto.setFromVector3 = function setFromVector3(v, order) {
- return this.set(v.x, v.y, v.z, order || this._order);
- };
- _proto.reorder = function reorder(newOrder) {
- // WARNING: this discards revolution information -bhouston
- _quaternion$1.setFromEuler(this);
- return this.setFromQuaternion(_quaternion$1, newOrder);
- };
- _proto.equals = function equals(euler) {
- return euler._x === this._x && euler._y === this._y && euler._z === this._z && euler._order === this._order;
- };
- _proto.fromArray = function fromArray(array) {
- this._x = array[0];
- this._y = array[1];
- this._z = array[2];
- if (array[3] !== undefined) this._order = array[3];
- this._onChangeCallback();
- return this;
- };
- _proto.toArray = function toArray(array, offset) {
- if (array === void 0) {
- array = [];
- }
- if (offset === void 0) {
- offset = 0;
- }
- array[offset] = this._x;
- array[offset + 1] = this._y;
- array[offset + 2] = this._z;
- array[offset + 3] = this._order;
- return array;
- };
- _proto.toVector3 = function toVector3(optionalResult) {
- if (optionalResult) {
- return optionalResult.set(this._x, this._y, this._z);
- } else {
- return new Vector3(this._x, this._y, this._z);
- }
- };
- _proto._onChange = function _onChange(callback) {
- this._onChangeCallback = callback;
- return this;
- };
- _proto._onChangeCallback = function _onChangeCallback() {};
- _createClass(Euler, [{
- key: "x",
- get: function get() {
- return this._x;
- },
- set: function set(value) {
- this._x = value;
- this._onChangeCallback();
- }
- }, {
- key: "y",
- get: function get() {
- return this._y;
- },
- set: function set(value) {
- this._y = value;
- this._onChangeCallback();
- }
- }, {
- key: "z",
- get: function get() {
- return this._z;
- },
- set: function set(value) {
- this._z = value;
- this._onChangeCallback();
- }
- }, {
- key: "order",
- get: function get() {
- return this._order;
- },
- set: function set(value) {
- this._order = value;
- this._onChangeCallback();
- }
- }]);
- return Euler;
- }();
- Euler.DefaultOrder = 'XYZ';
- Euler.RotationOrders = ['XYZ', 'YZX', 'ZXY', 'XZY', 'YXZ', 'ZYX'];
- var _matrix = /*@__PURE__*/new Matrix4();
- var _quaternion$1 = /*@__PURE__*/new Quaternion();
- var Layers = /*#__PURE__*/function () {
- function Layers() {
- this.mask = 1 | 0;
- }
- var _proto = Layers.prototype;
- _proto.set = function set(channel) {
- this.mask = 1 << channel | 0;
- };
- _proto.enable = function enable(channel) {
- this.mask |= 1 << channel | 0;
- };
- _proto.enableAll = function enableAll() {
- this.mask = 0xffffffff | 0;
- };
- _proto.toggle = function toggle(channel) {
- this.mask ^= 1 << channel | 0;
- };
- _proto.disable = function disable(channel) {
- this.mask &= ~(1 << channel | 0);
- };
- _proto.disableAll = function disableAll() {
- this.mask = 0;
- };
- _proto.test = function test(layers) {
- return (this.mask & layers.mask) !== 0;
- };
- return Layers;
- }();
- var _object3DId = 0;
- var _v1$2 = new Vector3();
- var _q1 = new Quaternion();
- var _m1$1 = new Matrix4();
- var _target = new Vector3();
- var _position = new Vector3();
- var _scale = new Vector3();
- var _quaternion$2 = new Quaternion();
- var _xAxis = new Vector3(1, 0, 0);
- var _yAxis = new Vector3(0, 1, 0);
- var _zAxis = new Vector3(0, 0, 1);
- var _addedEvent = {
- type: 'added'
- };
- var _removedEvent = {
- type: 'removed'
- };
- function Object3D() {
- Object.defineProperty(this, 'id', {
- value: _object3DId++
- });
- this.uuid = MathUtils.generateUUID();
- this.name = '';
- this.type = 'Object3D';
- this.parent = null;
- this.children = [];
- this.up = Object3D.DefaultUp.clone();
- var position = new Vector3();
- var rotation = new Euler();
- var quaternion = new Quaternion();
- var scale = new Vector3(1, 1, 1);
- function onRotationChange() {
- quaternion.setFromEuler(rotation, false);
- }
- function onQuaternionChange() {
- rotation.setFromQuaternion(quaternion, undefined, false);
- }
- rotation._onChange(onRotationChange);
- quaternion._onChange(onQuaternionChange);
- Object.defineProperties(this, {
- position: {
- configurable: true,
- enumerable: true,
- value: position
- },
- rotation: {
- configurable: true,
- enumerable: true,
- value: rotation
- },
- quaternion: {
- configurable: true,
- enumerable: true,
- value: quaternion
- },
- scale: {
- configurable: true,
- enumerable: true,
- value: scale
- },
- modelViewMatrix: {
- value: new Matrix4()
- },
- normalMatrix: {
- value: new Matrix3()
- }
- });
- this.matrix = new Matrix4();
- this.matrixWorld = new Matrix4();
- this.matrixAutoUpdate = Object3D.DefaultMatrixAutoUpdate;
- this.matrixWorldNeedsUpdate = false;
- this.layers = new Layers();
- this.visible = true;
- this.castShadow = false;
- this.receiveShadow = false;
- this.frustumCulled = true;
- this.renderOrder = 0;
- this.animations = [];
- this.userData = {};
- }
- Object3D.DefaultUp = new Vector3(0, 1, 0);
- Object3D.DefaultMatrixAutoUpdate = true;
- Object3D.prototype = Object.assign(Object.create(EventDispatcher.prototype), {
- constructor: Object3D,
- isObject3D: true,
- onBeforeRender: function onBeforeRender() {},
- onAfterRender: function onAfterRender() {},
- applyMatrix4: function applyMatrix4(matrix) {
- if (this.matrixAutoUpdate) this.updateMatrix();
- this.matrix.premultiply(matrix);
- this.matrix.decompose(this.position, this.quaternion, this.scale);
- },
- applyQuaternion: function applyQuaternion(q) {
- this.quaternion.premultiply(q);
- return this;
- },
- setRotationFromAxisAngle: function setRotationFromAxisAngle(axis, angle) {
- // assumes axis is normalized
- this.quaternion.setFromAxisAngle(axis, angle);
- },
- setRotationFromEuler: function setRotationFromEuler(euler) {
- this.quaternion.setFromEuler(euler, true);
- },
- setRotationFromMatrix: function setRotationFromMatrix(m) {
- // assumes the upper 3x3 of m is a pure rotation matrix (i.e, unscaled)
- this.quaternion.setFromRotationMatrix(m);
- },
- setRotationFromQuaternion: function setRotationFromQuaternion(q) {
- // assumes q is normalized
- this.quaternion.copy(q);
- },
- rotateOnAxis: function rotateOnAxis(axis, angle) {
- // rotate object on axis in object space
- // axis is assumed to be normalized
- _q1.setFromAxisAngle(axis, angle);
- this.quaternion.multiply(_q1);
- return this;
- },
- rotateOnWorldAxis: function rotateOnWorldAxis(axis, angle) {
- // rotate object on axis in world space
- // axis is assumed to be normalized
- // method assumes no rotated parent
- _q1.setFromAxisAngle(axis, angle);
- this.quaternion.premultiply(_q1);
- return this;
- },
- rotateX: function rotateX(angle) {
- return this.rotateOnAxis(_xAxis, angle);
- },
- rotateY: function rotateY(angle) {
- return this.rotateOnAxis(_yAxis, angle);
- },
- rotateZ: function rotateZ(angle) {
- return this.rotateOnAxis(_zAxis, angle);
- },
- translateOnAxis: function translateOnAxis(axis, distance) {
- // translate object by distance along axis in object space
- // axis is assumed to be normalized
- _v1$2.copy(axis).applyQuaternion(this.quaternion);
- this.position.add(_v1$2.multiplyScalar(distance));
- return this;
- },
- translateX: function translateX(distance) {
- return this.translateOnAxis(_xAxis, distance);
- },
- translateY: function translateY(distance) {
- return this.translateOnAxis(_yAxis, distance);
- },
- translateZ: function translateZ(distance) {
- return this.translateOnAxis(_zAxis, distance);
- },
- localToWorld: function localToWorld(vector) {
- return vector.applyMatrix4(this.matrixWorld);
- },
- worldToLocal: function worldToLocal(vector) {
- return vector.applyMatrix4(_m1$1.copy(this.matrixWorld).invert());
- },
- lookAt: function lookAt(x, y, z) {
- // This method does not support objects having non-uniformly-scaled parent(s)
- if (x.isVector3) {
- _target.copy(x);
- } else {
- _target.set(x, y, z);
- }
- var parent = this.parent;
- this.updateWorldMatrix(true, false);
- _position.setFromMatrixPosition(this.matrixWorld);
- if (this.isCamera || this.isLight) {
- _m1$1.lookAt(_position, _target, this.up);
- } else {
- _m1$1.lookAt(_target, _position, this.up);
- }
- this.quaternion.setFromRotationMatrix(_m1$1);
- if (parent) {
- _m1$1.extractRotation(parent.matrixWorld);
- _q1.setFromRotationMatrix(_m1$1);
- this.quaternion.premultiply(_q1.invert());
- }
- },
- add: function add(object) {
- if (arguments.length > 1) {
- for (var i = 0; i < arguments.length; i++) {
- this.add(arguments[i]);
- }
- return this;
- }
- if (object === this) {
- console.error('THREE.Object3D.add: object can\'t be added as a child of itself.', object);
- return this;
- }
- if (object && object.isObject3D) {
- if (object.parent !== null) {
- object.parent.remove(object);
- }
- object.parent = this;
- this.children.push(object);
- object.dispatchEvent(_addedEvent);
- } else {
- console.error('THREE.Object3D.add: object not an instance of THREE.Object3D.', object);
- }
- return this;
- },
- remove: function remove(object) {
- if (arguments.length > 1) {
- for (var i = 0; i < arguments.length; i++) {
- this.remove(arguments[i]);
- }
- return this;
- }
- var index = this.children.indexOf(object);
- if (index !== -1) {
- object.parent = null;
- this.children.splice(index, 1);
- object.dispatchEvent(_removedEvent);
- }
- return this;
- },
- clear: function clear() {
- for (var i = 0; i < this.children.length; i++) {
- var object = this.children[i];
- object.parent = null;
- object.dispatchEvent(_removedEvent);
- }
- this.children.length = 0;
- return this;
- },
- attach: function attach(object) {
- // adds object as a child of this, while maintaining the object's world transform
- this.updateWorldMatrix(true, false);
- _m1$1.copy(this.matrixWorld).invert();
- if (object.parent !== null) {
- object.parent.updateWorldMatrix(true, false);
- _m1$1.multiply(object.parent.matrixWorld);
- }
- object.applyMatrix4(_m1$1);
- object.updateWorldMatrix(false, false);
- this.add(object);
- return this;
- },
- getObjectById: function getObjectById(id) {
- return this.getObjectByProperty('id', id);
- },
- getObjectByName: function getObjectByName(name) {
- return this.getObjectByProperty('name', name);
- },
- getObjectByProperty: function getObjectByProperty(name, value) {
- if (this[name] === value) return this;
- for (var i = 0, l = this.children.length; i < l; i++) {
- var child = this.children[i];
- var object = child.getObjectByProperty(name, value);
- if (object !== undefined) {
- return object;
- }
- }
- return undefined;
- },
- getWorldPosition: function getWorldPosition(target) {
- if (target === undefined) {
- console.warn('THREE.Object3D: .getWorldPosition() target is now required');
- target = new Vector3();
- }
- this.updateWorldMatrix(true, false);
- return target.setFromMatrixPosition(this.matrixWorld);
- },
- getWorldQuaternion: function getWorldQuaternion(target) {
- if (target === undefined) {
- console.warn('THREE.Object3D: .getWorldQuaternion() target is now required');
- target = new Quaternion();
- }
- this.updateWorldMatrix(true, false);
- this.matrixWorld.decompose(_position, target, _scale);
- return target;
- },
- getWorldScale: function getWorldScale(target) {
- if (target === undefined) {
- console.warn('THREE.Object3D: .getWorldScale() target is now required');
- target = new Vector3();
- }
- this.updateWorldMatrix(true, false);
- this.matrixWorld.decompose(_position, _quaternion$2, target);
- return target;
- },
- getWorldDirection: function getWorldDirection(target) {
- if (target === undefined) {
- console.warn('THREE.Object3D: .getWorldDirection() target is now required');
- target = new Vector3();
- }
- this.updateWorldMatrix(true, false);
- var e = this.matrixWorld.elements;
- return target.set(e[8], e[9], e[10]).normalize();
- },
- raycast: function raycast() {},
- traverse: function traverse(callback) {
- callback(this);
- var children = this.children;
- for (var i = 0, l = children.length; i < l; i++) {
- children[i].traverse(callback);
- }
- },
- traverseVisible: function traverseVisible(callback) {
- if (this.visible === false) return;
- callback(this);
- var children = this.children;
- for (var i = 0, l = children.length; i < l; i++) {
- children[i].traverseVisible(callback);
- }
- },
- traverseAncestors: function traverseAncestors(callback) {
- var parent = this.parent;
- if (parent !== null) {
- callback(parent);
- parent.traverseAncestors(callback);
- }
- },
- updateMatrix: function updateMatrix() {
- this.matrix.compose(this.position, this.quaternion, this.scale);
- this.matrixWorldNeedsUpdate = true;
- },
- updateMatrixWorld: function updateMatrixWorld(force) {
- if (this.matrixAutoUpdate) this.updateMatrix();
- if (this.matrixWorldNeedsUpdate || force) {
- if (this.parent === null) {
- this.matrixWorld.copy(this.matrix);
- } else {
- this.matrixWorld.multiplyMatrices(this.parent.matrixWorld, this.matrix);
- }
- this.matrixWorldNeedsUpdate = false;
- force = true;
- } // update children
-
- var children = this.children;
- for (var i = 0, l = children.length; i < l; i++) {
- children[i].updateMatrixWorld(force);
- }
- },
- updateWorldMatrix: function updateWorldMatrix(updateParents, updateChildren) {
- var parent = this.parent;
- if (updateParents === true && parent !== null) {
- parent.updateWorldMatrix(true, false);
- }
- if (this.matrixAutoUpdate) this.updateMatrix();
- if (this.parent === null) {
- this.matrixWorld.copy(this.matrix);
- } else {
- this.matrixWorld.multiplyMatrices(this.parent.matrixWorld, this.matrix);
- } // update children
-
- if (updateChildren === true) {
- var children = this.children;
- for (var i = 0, l = children.length; i < l; i++) {
- children[i].updateWorldMatrix(false, true);
- }
- }
- },
- toJSON: function toJSON(meta) {
- // meta is a string when called from JSON.stringify
- var isRootObject = meta === undefined || typeof meta === 'string';
- var output = {}; // meta is a hash used to collect geometries, materials.
- // not providing it implies that this is the root object
- // being serialized.
- if (isRootObject) {
- // initialize meta obj
- meta = {
- geometries: {},
- materials: {},
- textures: {},
- images: {},
- shapes: {},
- skeletons: {},
- animations: {}
- };
- output.metadata = {
- version: 4.5,
- type: 'Object',
- generator: 'Object3D.toJSON'
- };
- } // standard Object3D serialization
-
- var object = {};
- object.uuid = this.uuid;
- object.type = this.type;
- if (this.name !== '') object.name = this.name;
- if (this.castShadow === true) object.castShadow = true;
- if (this.receiveShadow === true) object.receiveShadow = true;
- if (this.visible === false) object.visible = false;
- if (this.frustumCulled === false) object.frustumCulled = false;
- if (this.renderOrder !== 0) object.renderOrder = this.renderOrder;
- if (JSON.stringify(this.userData) !== '{}') object.userData = this.userData;
- object.layers = this.layers.mask;
- object.matrix = this.matrix.toArray();
- if (this.matrixAutoUpdate === false) object.matrixAutoUpdate = false; // object specific properties
- if (this.isInstancedMesh) {
- object.type = 'InstancedMesh';
- object.count = this.count;
- object.instanceMatrix = this.instanceMatrix.toJSON();
- } //
-
- function serialize(library, element) {
- if (library[element.uuid] === undefined) {
- library[element.uuid] = element.toJSON(meta);
- }
- return element.uuid;
- }
- if (this.isMesh || this.isLine || this.isPoints) {
- object.geometry = serialize(meta.geometries, this.geometry);
- var parameters = this.geometry.parameters;
- if (parameters !== undefined && parameters.shapes !== undefined) {
- var shapes = parameters.shapes;
- if (Array.isArray(shapes)) {
- for (var i = 0, l = shapes.length; i < l; i++) {
- var shape = shapes[i];
- serialize(meta.shapes, shape);
- }
- } else {
- serialize(meta.shapes, shapes);
- }
- }
- }
- if (this.isSkinnedMesh) {
- object.bindMode = this.bindMode;
- object.bindMatrix = this.bindMatrix.toArray();
- if (this.skeleton !== undefined) {
- serialize(meta.skeletons, this.skeleton);
- object.skeleton = this.skeleton.uuid;
- }
- }
- if (this.material !== undefined) {
- if (Array.isArray(this.material)) {
- var uuids = [];
- for (var _i = 0, _l = this.material.length; _i < _l; _i++) {
- uuids.push(serialize(meta.materials, this.material[_i]));
- }
- object.material = uuids;
- } else {
- object.material = serialize(meta.materials, this.material);
- }
- } //
-
- if (this.children.length > 0) {
- object.children = [];
- for (var _i2 = 0; _i2 < this.children.length; _i2++) {
- object.children.push(this.children[_i2].toJSON(meta).object);
- }
- } //
-
- if (this.animations.length > 0) {
- object.animations = [];
- for (var _i3 = 0; _i3 < this.animations.length; _i3++) {
- var animation = this.animations[_i3];
- object.animations.push(serialize(meta.animations, animation));
- }
- }
- if (isRootObject) {
- var geometries = extractFromCache(meta.geometries);
- var materials = extractFromCache(meta.materials);
- var textures = extractFromCache(meta.textures);
- var images = extractFromCache(meta.images);
- var _shapes = extractFromCache(meta.shapes);
- var skeletons = extractFromCache(meta.skeletons);
- var animations = extractFromCache(meta.animations);
- if (geometries.length > 0) output.geometries = geometries;
- if (materials.length > 0) output.materials = materials;
- if (textures.length > 0) output.textures = textures;
- if (images.length > 0) output.images = images;
- if (_shapes.length > 0) output.shapes = _shapes;
- if (skeletons.length > 0) output.skeletons = skeletons;
- if (animations.length > 0) output.animations = animations;
- }
- output.object = object;
- return output; // extract data from the cache hash
- // remove metadata on each item
- // and return as array
- function extractFromCache(cache) {
- var values = [];
- for (var key in cache) {
- var data = cache[key];
- delete data.metadata;
- values.push(data);
- }
- return values;
- }
- },
- clone: function clone(recursive) {
- return new this.constructor().copy(this, recursive);
- },
- copy: function copy(source, recursive) {
- if (recursive === void 0) {
- recursive = true;
- }
- this.name = source.name;
- this.up.copy(source.up);
- this.position.copy(source.position);
- this.rotation.order = source.rotation.order;
- this.quaternion.copy(source.quaternion);
- this.scale.copy(source.scale);
- this.matrix.copy(source.matrix);
- this.matrixWorld.copy(source.matrixWorld);
- this.matrixAutoUpdate = source.matrixAutoUpdate;
- this.matrixWorldNeedsUpdate = source.matrixWorldNeedsUpdate;
- this.layers.mask = source.layers.mask;
- this.visible = source.visible;
- this.castShadow = source.castShadow;
- this.receiveShadow = source.receiveShadow;
- this.frustumCulled = source.frustumCulled;
- this.renderOrder = source.renderOrder;
- this.userData = JSON.parse(JSON.stringify(source.userData));
- if (recursive === true) {
- for (var i = 0; i < source.children.length; i++) {
- var child = source.children[i];
- this.add(child.clone());
- }
- }
- return this;
- }
- });
- var _vector1 = /*@__PURE__*/new Vector3();
- var _vector2 = /*@__PURE__*/new Vector3();
- var _normalMatrix = /*@__PURE__*/new Matrix3();
- var Plane = /*#__PURE__*/function () {
- function Plane(normal, constant) {
- Object.defineProperty(this, 'isPlane', {
- value: true
- }); // normal is assumed to be normalized
- this.normal = normal !== undefined ? normal : new Vector3(1, 0, 0);
- this.constant = constant !== undefined ? constant : 0;
- }
- var _proto = Plane.prototype;
- _proto.set = function set(normal, constant) {
- this.normal.copy(normal);
- this.constant = constant;
- return this;
- };
- _proto.setComponents = function setComponents(x, y, z, w) {
- this.normal.set(x, y, z);
- this.constant = w;
- return this;
- };
- _proto.setFromNormalAndCoplanarPoint = function setFromNormalAndCoplanarPoint(normal, point) {
- this.normal.copy(normal);
- this.constant = -point.dot(this.normal);
- return this;
- };
- _proto.setFromCoplanarPoints = function setFromCoplanarPoints(a, b, c) {
- var normal = _vector1.subVectors(c, b).cross(_vector2.subVectors(a, b)).normalize(); // Q: should an error be thrown if normal is zero (e.g. degenerate plane)?
-
- this.setFromNormalAndCoplanarPoint(normal, a);
- return this;
- };
- _proto.clone = function clone() {
- return new this.constructor().copy(this);
- };
- _proto.copy = function copy(plane) {
- this.normal.copy(plane.normal);
- this.constant = plane.constant;
- return this;
- };
- _proto.normalize = function normalize() {
- // Note: will lead to a divide by zero if the plane is invalid.
- var inverseNormalLength = 1.0 / this.normal.length();
- this.normal.multiplyScalar(inverseNormalLength);
- this.constant *= inverseNormalLength;
- return this;
- };
- _proto.negate = function negate() {
- this.constant *= -1;
- this.normal.negate();
- return this;
- };
- _proto.distanceToPoint = function distanceToPoint(point) {
- return this.normal.dot(point) + this.constant;
- };
- _proto.distanceToSphere = function distanceToSphere(sphere) {
- return this.distanceToPoint(sphere.center) - sphere.radius;
- };
- _proto.projectPoint = function projectPoint(point, target) {
- if (target === undefined) {
- console.warn('THREE.Plane: .projectPoint() target is now required');
- target = new Vector3();
- }
- return target.copy(this.normal).multiplyScalar(-this.distanceToPoint(point)).add(point);
- };
- _proto.intersectLine = function intersectLine(line, target) {
- if (target === undefined) {
- console.warn('THREE.Plane: .intersectLine() target is now required');
- target = new Vector3();
- }
- var direction = line.delta(_vector1);
- var denominator = this.normal.dot(direction);
- if (denominator === 0) {
- // line is coplanar, return origin
- if (this.distanceToPoint(line.start) === 0) {
- return target.copy(line.start);
- } // Unsure if this is the correct method to handle this case.
-
- return undefined;
- }
- var t = -(line.start.dot(this.normal) + this.constant) / denominator;
- if (t < 0 || t > 1) {
- return undefined;
- }
- return target.copy(direction).multiplyScalar(t).add(line.start);
- };
- _proto.intersectsLine = function intersectsLine(line) {
- // Note: this tests if a line intersects the plane, not whether it (or its end-points) are coplanar with it.
- var startSign = this.distanceToPoint(line.start);
- var endSign = this.distanceToPoint(line.end);
- return startSign < 0 && endSign > 0 || endSign < 0 && startSign > 0;
- };
- _proto.intersectsBox = function intersectsBox(box) {
- return box.intersectsPlane(this);
- };
- _proto.intersectsSphere = function intersectsSphere(sphere) {
- return sphere.intersectsPlane(this);
- };
- _proto.coplanarPoint = function coplanarPoint(target) {
- if (target === undefined) {
- console.warn('THREE.Plane: .coplanarPoint() target is now required');
- target = new Vector3();
- }
- return target.copy(this.normal).multiplyScalar(-this.constant);
- };
- _proto.applyMatrix4 = function applyMatrix4(matrix, optionalNormalMatrix) {
- var normalMatrix = optionalNormalMatrix || _normalMatrix.getNormalMatrix(matrix);
- var referencePoint = this.coplanarPoint(_vector1).applyMatrix4(matrix);
- var normal = this.normal.applyMatrix3(normalMatrix).normalize();
- this.constant = -referencePoint.dot(normal);
- return this;
- };
- _proto.translate = function translate(offset) {
- this.constant -= offset.dot(this.normal);
- return this;
- };
- _proto.equals = function equals(plane) {
- return plane.normal.equals(this.normal) && plane.constant === this.constant;
- };
- return Plane;
- }();
- var _v0$1 = /*@__PURE__*/new Vector3();
- var _v1$3 = /*@__PURE__*/new Vector3();
- var _v2$1 = /*@__PURE__*/new Vector3();
- var _v3 = /*@__PURE__*/new Vector3();
- var _vab = /*@__PURE__*/new Vector3();
- var _vac = /*@__PURE__*/new Vector3();
- var _vbc = /*@__PURE__*/new Vector3();
- var _vap = /*@__PURE__*/new Vector3();
- var _vbp = /*@__PURE__*/new Vector3();
- var _vcp = /*@__PURE__*/new Vector3();
- var Triangle = /*#__PURE__*/function () {
- function Triangle(a, b, c) {
- this.a = a !== undefined ? a : new Vector3();
- this.b = b !== undefined ? b : new Vector3();
- this.c = c !== undefined ? c : new Vector3();
- }
- Triangle.getNormal = function getNormal(a, b, c, target) {
- if (target === undefined) {
- console.warn('THREE.Triangle: .getNormal() target is now required');
- target = new Vector3();
- }
- target.subVectors(c, b);
- _v0$1.subVectors(a, b);
- target.cross(_v0$1);
- var targetLengthSq = target.lengthSq();
- if (targetLengthSq > 0) {
- return target.multiplyScalar(1 / Math.sqrt(targetLengthSq));
- }
- return target.set(0, 0, 0);
- } // static/instance method to calculate barycentric coordinates
- // based on: http://www.blackpawn.com/texts/pointinpoly/default.html
- ;
- Triangle.getBarycoord = function getBarycoord(point, a, b, c, target) {
- _v0$1.subVectors(c, a);
- _v1$3.subVectors(b, a);
- _v2$1.subVectors(point, a);
- var dot00 = _v0$1.dot(_v0$1);
- var dot01 = _v0$1.dot(_v1$3);
- var dot02 = _v0$1.dot(_v2$1);
- var dot11 = _v1$3.dot(_v1$3);
- var dot12 = _v1$3.dot(_v2$1);
- var denom = dot00 * dot11 - dot01 * dot01;
- if (target === undefined) {
- console.warn('THREE.Triangle: .getBarycoord() target is now required');
- target = new Vector3();
- } // collinear or singular triangle
-
- if (denom === 0) {
- // arbitrary location outside of triangle?
- // not sure if this is the best idea, maybe should be returning undefined
- return target.set(-2, -1, -1);
- }
- var invDenom = 1 / denom;
- var u = (dot11 * dot02 - dot01 * dot12) * invDenom;
- var v = (dot00 * dot12 - dot01 * dot02) * invDenom; // barycentric coordinates must always sum to 1
- return target.set(1 - u - v, v, u);
- };
- Triangle.containsPoint = function containsPoint(point, a, b, c) {
- this.getBarycoord(point, a, b, c, _v3);
- return _v3.x >= 0 && _v3.y >= 0 && _v3.x + _v3.y <= 1;
- };
- Triangle.getUV = function getUV(point, p1, p2, p3, uv1, uv2, uv3, target) {
- this.getBarycoord(point, p1, p2, p3, _v3);
- target.set(0, 0);
- target.addScaledVector(uv1, _v3.x);
- target.addScaledVector(uv2, _v3.y);
- target.addScaledVector(uv3, _v3.z);
- return target;
- };
- Triangle.isFrontFacing = function isFrontFacing(a, b, c, direction) {
- _v0$1.subVectors(c, b);
- _v1$3.subVectors(a, b); // strictly front facing
-
- return _v0$1.cross(_v1$3).dot(direction) < 0 ? true : false;
- };
- var _proto = Triangle.prototype;
- _proto.set = function set(a, b, c) {
- this.a.copy(a);
- this.b.copy(b);
- this.c.copy(c);
- return this;
- };
- _proto.setFromPointsAndIndices = function setFromPointsAndIndices(points, i0, i1, i2) {
- this.a.copy(points[i0]);
- this.b.copy(points[i1]);
- this.c.copy(points[i2]);
- return this;
- };
- _proto.clone = function clone() {
- return new this.constructor().copy(this);
- };
- _proto.copy = function copy(triangle) {
- this.a.copy(triangle.a);
- this.b.copy(triangle.b);
- this.c.copy(triangle.c);
- return this;
- };
- _proto.getArea = function getArea() {
- _v0$1.subVectors(this.c, this.b);
- _v1$3.subVectors(this.a, this.b);
- return _v0$1.cross(_v1$3).length() * 0.5;
- };
- _proto.getMidpoint = function getMidpoint(target) {
- if (target === undefined) {
- console.warn('THREE.Triangle: .getMidpoint() target is now required');
- target = new Vector3();
- }
- return target.addVectors(this.a, this.b).add(this.c).multiplyScalar(1 / 3);
- };
- _proto.getNormal = function getNormal(target) {
- return Triangle.getNormal(this.a, this.b, this.c, target);
- };
- _proto.getPlane = function getPlane(target) {
- if (target === undefined) {
- console.warn('THREE.Triangle: .getPlane() target is now required');
- target = new Plane();
- }
- return target.setFromCoplanarPoints(this.a, this.b, this.c);
- };
- _proto.getBarycoord = function getBarycoord(point, target) {
- return Triangle.getBarycoord(point, this.a, this.b, this.c, target);
- };
- _proto.getUV = function getUV(point, uv1, uv2, uv3, target) {
- return Triangle.getUV(point, this.a, this.b, this.c, uv1, uv2, uv3, target);
- };
- _proto.containsPoint = function containsPoint(point) {
- return Triangle.containsPoint(point, this.a, this.b, this.c);
- };
- _proto.isFrontFacing = function isFrontFacing(direction) {
- return Triangle.isFrontFacing(this.a, this.b, this.c, direction);
- };
- _proto.intersectsBox = function intersectsBox(box) {
- return box.intersectsTriangle(this);
- };
- _proto.closestPointToPoint = function closestPointToPoint(p, target) {
- if (target === undefined) {
- console.warn('THREE.Triangle: .closestPointToPoint() target is now required');
- target = new Vector3();
- }
- var a = this.a,
- b = this.b,
- c = this.c;
- var v, w; // algorithm thanks to Real-Time Collision Detection by Christer Ericson,
- // published by Morgan Kaufmann Publishers, (c) 2005 Elsevier Inc.,
- // under the accompanying license; see chapter 5.1.5 for detailed explanation.
- // basically, we're distinguishing which of the voronoi regions of the triangle
- // the point lies in with the minimum amount of redundant computation.
- _vab.subVectors(b, a);
- _vac.subVectors(c, a);
- _vap.subVectors(p, a);
- var d1 = _vab.dot(_vap);
- var d2 = _vac.dot(_vap);
- if (d1 <= 0 && d2 <= 0) {
- // vertex region of A; barycentric coords (1, 0, 0)
- return target.copy(a);
- }
- _vbp.subVectors(p, b);
- var d3 = _vab.dot(_vbp);
- var d4 = _vac.dot(_vbp);
- if (d3 >= 0 && d4 <= d3) {
- // vertex region of B; barycentric coords (0, 1, 0)
- return target.copy(b);
- }
- var vc = d1 * d4 - d3 * d2;
- if (vc <= 0 && d1 >= 0 && d3 <= 0) {
- v = d1 / (d1 - d3); // edge region of AB; barycentric coords (1-v, v, 0)
- return target.copy(a).addScaledVector(_vab, v);
- }
- _vcp.subVectors(p, c);
- var d5 = _vab.dot(_vcp);
- var d6 = _vac.dot(_vcp);
- if (d6 >= 0 && d5 <= d6) {
- // vertex region of C; barycentric coords (0, 0, 1)
- return target.copy(c);
- }
- var vb = d5 * d2 - d1 * d6;
- if (vb <= 0 && d2 >= 0 && d6 <= 0) {
- w = d2 / (d2 - d6); // edge region of AC; barycentric coords (1-w, 0, w)
- return target.copy(a).addScaledVector(_vac, w);
- }
- var va = d3 * d6 - d5 * d4;
- if (va <= 0 && d4 - d3 >= 0 && d5 - d6 >= 0) {
- _vbc.subVectors(c, b);
- w = (d4 - d3) / (d4 - d3 + (d5 - d6)); // edge region of BC; barycentric coords (0, 1-w, w)
- return target.copy(b).addScaledVector(_vbc, w); // edge region of BC
- } // face region
-
- var denom = 1 / (va + vb + vc); // u = va * denom
- v = vb * denom;
- w = vc * denom;
- return target.copy(a).addScaledVector(_vab, v).addScaledVector(_vac, w);
- };
- _proto.equals = function equals(triangle) {
- return triangle.a.equals(this.a) && triangle.b.equals(this.b) && triangle.c.equals(this.c);
- };
- return Triangle;
- }();
- var _colorKeywords = {
- 'aliceblue': 0xF0F8FF,
- 'antiquewhite': 0xFAEBD7,
- 'aqua': 0x00FFFF,
- 'aquamarine': 0x7FFFD4,
- 'azure': 0xF0FFFF,
- 'beige': 0xF5F5DC,
- 'bisque': 0xFFE4C4,
- 'black': 0x000000,
- 'blanchedalmond': 0xFFEBCD,
- 'blue': 0x0000FF,
- 'blueviolet': 0x8A2BE2,
- 'brown': 0xA52A2A,
- 'burlywood': 0xDEB887,
- 'cadetblue': 0x5F9EA0,
- 'chartreuse': 0x7FFF00,
- 'chocolate': 0xD2691E,
- 'coral': 0xFF7F50,
- 'cornflowerblue': 0x6495ED,
- 'cornsilk': 0xFFF8DC,
- 'crimson': 0xDC143C,
- 'cyan': 0x00FFFF,
- 'darkblue': 0x00008B,
- 'darkcyan': 0x008B8B,
- 'darkgoldenrod': 0xB8860B,
- 'darkgray': 0xA9A9A9,
- 'darkgreen': 0x006400,
- 'darkgrey': 0xA9A9A9,
- 'darkkhaki': 0xBDB76B,
- 'darkmagenta': 0x8B008B,
- 'darkolivegreen': 0x556B2F,
- 'darkorange': 0xFF8C00,
- 'darkorchid': 0x9932CC,
- 'darkred': 0x8B0000,
- 'darksalmon': 0xE9967A,
- 'darkseagreen': 0x8FBC8F,
- 'darkslateblue': 0x483D8B,
- 'darkslategray': 0x2F4F4F,
- 'darkslategrey': 0x2F4F4F,
- 'darkturquoise': 0x00CED1,
- 'darkviolet': 0x9400D3,
- 'deeppink': 0xFF1493,
- 'deepskyblue': 0x00BFFF,
- 'dimgray': 0x696969,
- 'dimgrey': 0x696969,
- 'dodgerblue': 0x1E90FF,
- 'firebrick': 0xB22222,
- 'floralwhite': 0xFFFAF0,
- 'forestgreen': 0x228B22,
- 'fuchsia': 0xFF00FF,
- 'gainsboro': 0xDCDCDC,
- 'ghostwhite': 0xF8F8FF,
- 'gold': 0xFFD700,
- 'goldenrod': 0xDAA520,
- 'gray': 0x808080,
- 'green': 0x008000,
- 'greenyellow': 0xADFF2F,
- 'grey': 0x808080,
- 'honeydew': 0xF0FFF0,
- 'hotpink': 0xFF69B4,
- 'indianred': 0xCD5C5C,
- 'indigo': 0x4B0082,
- 'ivory': 0xFFFFF0,
- 'khaki': 0xF0E68C,
- 'lavender': 0xE6E6FA,
- 'lavenderblush': 0xFFF0F5,
- 'lawngreen': 0x7CFC00,
- 'lemonchiffon': 0xFFFACD,
- 'lightblue': 0xADD8E6,
- 'lightcoral': 0xF08080,
- 'lightcyan': 0xE0FFFF,
- 'lightgoldenrodyellow': 0xFAFAD2,
- 'lightgray': 0xD3D3D3,
- 'lightgreen': 0x90EE90,
- 'lightgrey': 0xD3D3D3,
- 'lightpink': 0xFFB6C1,
- 'lightsalmon': 0xFFA07A,
- 'lightseagreen': 0x20B2AA,
- 'lightskyblue': 0x87CEFA,
- 'lightslategray': 0x778899,
- 'lightslategrey': 0x778899,
- 'lightsteelblue': 0xB0C4DE,
- 'lightyellow': 0xFFFFE0,
- 'lime': 0x00FF00,
- 'limegreen': 0x32CD32,
- 'linen': 0xFAF0E6,
- 'magenta': 0xFF00FF,
- 'maroon': 0x800000,
- 'mediumaquamarine': 0x66CDAA,
- 'mediumblue': 0x0000CD,
- 'mediumorchid': 0xBA55D3,
- 'mediumpurple': 0x9370DB,
- 'mediumseagreen': 0x3CB371,
- 'mediumslateblue': 0x7B68EE,
- 'mediumspringgreen': 0x00FA9A,
- 'mediumturquoise': 0x48D1CC,
- 'mediumvioletred': 0xC71585,
- 'midnightblue': 0x191970,
- 'mintcream': 0xF5FFFA,
- 'mistyrose': 0xFFE4E1,
- 'moccasin': 0xFFE4B5,
- 'navajowhite': 0xFFDEAD,
- 'navy': 0x000080,
- 'oldlace': 0xFDF5E6,
- 'olive': 0x808000,
- 'olivedrab': 0x6B8E23,
- 'orange': 0xFFA500,
- 'orangered': 0xFF4500,
- 'orchid': 0xDA70D6,
- 'palegoldenrod': 0xEEE8AA,
- 'palegreen': 0x98FB98,
- 'paleturquoise': 0xAFEEEE,
- 'palevioletred': 0xDB7093,
- 'papayawhip': 0xFFEFD5,
- 'peachpuff': 0xFFDAB9,
- 'peru': 0xCD853F,
- 'pink': 0xFFC0CB,
- 'plum': 0xDDA0DD,
- 'powderblue': 0xB0E0E6,
- 'purple': 0x800080,
- 'rebeccapurple': 0x663399,
- 'red': 0xFF0000,
- 'rosybrown': 0xBC8F8F,
- 'royalblue': 0x4169E1,
- 'saddlebrown': 0x8B4513,
- 'salmon': 0xFA8072,
- 'sandybrown': 0xF4A460,
- 'seagreen': 0x2E8B57,
- 'seashell': 0xFFF5EE,
- 'sienna': 0xA0522D,
- 'silver': 0xC0C0C0,
- 'skyblue': 0x87CEEB,
- 'slateblue': 0x6A5ACD,
- 'slategray': 0x708090,
- 'slategrey': 0x708090,
- 'snow': 0xFFFAFA,
- 'springgreen': 0x00FF7F,
- 'steelblue': 0x4682B4,
- 'tan': 0xD2B48C,
- 'teal': 0x008080,
- 'thistle': 0xD8BFD8,
- 'tomato': 0xFF6347,
- 'turquoise': 0x40E0D0,
- 'violet': 0xEE82EE,
- 'wheat': 0xF5DEB3,
- 'white': 0xFFFFFF,
- 'whitesmoke': 0xF5F5F5,
- 'yellow': 0xFFFF00,
- 'yellowgreen': 0x9ACD32
- };
- var _hslA = {
- h: 0,
- s: 0,
- l: 0
- };
- var _hslB = {
- h: 0,
- s: 0,
- l: 0
- };
- function hue2rgb(p, q, t) {
- if (t < 0) t += 1;
- if (t > 1) t -= 1;
- if (t < 1 / 6) return p + (q - p) * 6 * t;
- if (t < 1 / 2) return q;
- if (t < 2 / 3) return p + (q - p) * 6 * (2 / 3 - t);
- return p;
- }
- function SRGBToLinear(c) {
- return c < 0.04045 ? c * 0.0773993808 : Math.pow(c * 0.9478672986 + 0.0521327014, 2.4);
- }
- function LinearToSRGB(c) {
- return c < 0.0031308 ? c * 12.92 : 1.055 * Math.pow(c, 0.41666) - 0.055;
- }
- var Color = /*#__PURE__*/function () {
- function Color(r, g, b) {
- Object.defineProperty(this, 'isColor', {
- value: true
- });
- if (g === undefined && b === undefined) {
- // r is THREE.Color, hex or string
- return this.set(r);
- }
- return this.setRGB(r, g, b);
- }
- var _proto = Color.prototype;
- _proto.set = function set(value) {
- if (value && value.isColor) {
- this.copy(value);
- } else if (typeof value === 'number') {
- this.setHex(value);
- } else if (typeof value === 'string') {
- this.setStyle(value);
- }
- return this;
- };
- _proto.setScalar = function setScalar(scalar) {
- this.r = scalar;
- this.g = scalar;
- this.b = scalar;
- return this;
- };
- _proto.setHex = function setHex(hex) {
- hex = Math.floor(hex);
- this.r = (hex >> 16 & 255) / 255;
- this.g = (hex >> 8 & 255) / 255;
- this.b = (hex & 255) / 255;
- return this;
- };
- _proto.setRGB = function setRGB(r, g, b) {
- this.r = r;
- this.g = g;
- this.b = b;
- return this;
- };
- _proto.setHSL = function setHSL(h, s, l) {
- // h,s,l ranges are in 0.0 - 1.0
- h = MathUtils.euclideanModulo(h, 1);
- s = MathUtils.clamp(s, 0, 1);
- l = MathUtils.clamp(l, 0, 1);
- if (s === 0) {
- this.r = this.g = this.b = l;
- } else {
- var p = l <= 0.5 ? l * (1 + s) : l + s - l * s;
- var q = 2 * l - p;
- this.r = hue2rgb(q, p, h + 1 / 3);
- this.g = hue2rgb(q, p, h);
- this.b = hue2rgb(q, p, h - 1 / 3);
- }
- return this;
- };
- _proto.setStyle = function setStyle(style) {
- function handleAlpha(string) {
- if (string === undefined) return;
- if (parseFloat(string) < 1) {
- console.warn('THREE.Color: Alpha component of ' + style + ' will be ignored.');
- }
- }
- var m;
- if (m = /^((?:rgb|hsl)a?)\(\s*([^\)]*)\)/.exec(style)) {
- // rgb / hsl
- var color;
- var name = m[1];
- var components = m[2];
- switch (name) {
- case 'rgb':
- case 'rgba':
- if (color = /^(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*(,\s*([0-9]*\.?[0-9]+)\s*)?$/.exec(components)) {
- // rgb(255,0,0) rgba(255,0,0,0.5)
- this.r = Math.min(255, parseInt(color[1], 10)) / 255;
- this.g = Math.min(255, parseInt(color[2], 10)) / 255;
- this.b = Math.min(255, parseInt(color[3], 10)) / 255;
- handleAlpha(color[5]);
- return this;
- }
- if (color = /^(\d+)\%\s*,\s*(\d+)\%\s*,\s*(\d+)\%\s*(,\s*([0-9]*\.?[0-9]+)\s*)?$/.exec(components)) {
- // rgb(100%,0%,0%) rgba(100%,0%,0%,0.5)
- this.r = Math.min(100, parseInt(color[1], 10)) / 100;
- this.g = Math.min(100, parseInt(color[2], 10)) / 100;
- this.b = Math.min(100, parseInt(color[3], 10)) / 100;
- handleAlpha(color[5]);
- return this;
- }
- break;
- case 'hsl':
- case 'hsla':
- if (color = /^([0-9]*\.?[0-9]+)\s*,\s*(\d+)\%\s*,\s*(\d+)\%\s*(,\s*([0-9]*\.?[0-9]+)\s*)?$/.exec(components)) {
- // hsl(120,50%,50%) hsla(120,50%,50%,0.5)
- var h = parseFloat(color[1]) / 360;
- var s = parseInt(color[2], 10) / 100;
- var l = parseInt(color[3], 10) / 100;
- handleAlpha(color[5]);
- return this.setHSL(h, s, l);
- }
- break;
- }
- } else if (m = /^\#([A-Fa-f0-9]+)$/.exec(style)) {
- // hex color
- var hex = m[1];
- var size = hex.length;
- if (size === 3) {
- // #ff0
- this.r = parseInt(hex.charAt(0) + hex.charAt(0), 16) / 255;
- this.g = parseInt(hex.charAt(1) + hex.charAt(1), 16) / 255;
- this.b = parseInt(hex.charAt(2) + hex.charAt(2), 16) / 255;
- return this;
- } else if (size === 6) {
- // #ff0000
- this.r = parseInt(hex.charAt(0) + hex.charAt(1), 16) / 255;
- this.g = parseInt(hex.charAt(2) + hex.charAt(3), 16) / 255;
- this.b = parseInt(hex.charAt(4) + hex.charAt(5), 16) / 255;
- return this;
- }
- }
- if (style && style.length > 0) {
- return this.setColorName(style);
- }
- return this;
- };
- _proto.setColorName = function setColorName(style) {
- // color keywords
- var hex = _colorKeywords[style];
- if (hex !== undefined) {
- // red
- this.setHex(hex);
- } else {
- // unknown color
- console.warn('THREE.Color: Unknown color ' + style);
- }
- return this;
- };
- _proto.clone = function clone() {
- return new this.constructor(this.r, this.g, this.b);
- };
- _proto.copy = function copy(color) {
- this.r = color.r;
- this.g = color.g;
- this.b = color.b;
- return this;
- };
- _proto.copyGammaToLinear = function copyGammaToLinear(color, gammaFactor) {
- if (gammaFactor === void 0) {
- gammaFactor = 2.0;
- }
- this.r = Math.pow(color.r, gammaFactor);
- this.g = Math.pow(color.g, gammaFactor);
- this.b = Math.pow(color.b, gammaFactor);
- return this;
- };
- _proto.copyLinearToGamma = function copyLinearToGamma(color, gammaFactor) {
- if (gammaFactor === void 0) {
- gammaFactor = 2.0;
- }
- var safeInverse = gammaFactor > 0 ? 1.0 / gammaFactor : 1.0;
- this.r = Math.pow(color.r, safeInverse);
- this.g = Math.pow(color.g, safeInverse);
- this.b = Math.pow(color.b, safeInverse);
- return this;
- };
- _proto.convertGammaToLinear = function convertGammaToLinear(gammaFactor) {
- this.copyGammaToLinear(this, gammaFactor);
- return this;
- };
- _proto.convertLinearToGamma = function convertLinearToGamma(gammaFactor) {
- this.copyLinearToGamma(this, gammaFactor);
- return this;
- };
- _proto.copySRGBToLinear = function copySRGBToLinear(color) {
- this.r = SRGBToLinear(color.r);
- this.g = SRGBToLinear(color.g);
- this.b = SRGBToLinear(color.b);
- return this;
- };
- _proto.copyLinearToSRGB = function copyLinearToSRGB(color) {
- this.r = LinearToSRGB(color.r);
- this.g = LinearToSRGB(color.g);
- this.b = LinearToSRGB(color.b);
- return this;
- };
- _proto.convertSRGBToLinear = function convertSRGBToLinear() {
- this.copySRGBToLinear(this);
- return this;
- };
- _proto.convertLinearToSRGB = function convertLinearToSRGB() {
- this.copyLinearToSRGB(this);
- return this;
- };
- _proto.getHex = function getHex() {
- return this.r * 255 << 16 ^ this.g * 255 << 8 ^ this.b * 255 << 0;
- };
- _proto.getHexString = function getHexString() {
- return ('000000' + this.getHex().toString(16)).slice(-6);
- };
- _proto.getHSL = function getHSL(target) {
- // h,s,l ranges are in 0.0 - 1.0
- if (target === undefined) {
- console.warn('THREE.Color: .getHSL() target is now required');
- target = {
- h: 0,
- s: 0,
- l: 0
- };
- }
- var r = this.r,
- g = this.g,
- b = this.b;
- var max = Math.max(r, g, b);
- var min = Math.min(r, g, b);
- var hue, saturation;
- var lightness = (min + max) / 2.0;
- if (min === max) {
- hue = 0;
- saturation = 0;
- } else {
- var delta = max - min;
- saturation = lightness <= 0.5 ? delta / (max + min) : delta / (2 - max - min);
- switch (max) {
- case r:
- hue = (g - b) / delta + (g < b ? 6 : 0);
- break;
- case g:
- hue = (b - r) / delta + 2;
- break;
- case b:
- hue = (r - g) / delta + 4;
- break;
- }
- hue /= 6;
- }
- target.h = hue;
- target.s = saturation;
- target.l = lightness;
- return target;
- };
- _proto.getStyle = function getStyle() {
- return 'rgb(' + (this.r * 255 | 0) + ',' + (this.g * 255 | 0) + ',' + (this.b * 255 | 0) + ')';
- };
- _proto.offsetHSL = function offsetHSL(h, s, l) {
- this.getHSL(_hslA);
- _hslA.h += h;
- _hslA.s += s;
- _hslA.l += l;
- this.setHSL(_hslA.h, _hslA.s, _hslA.l);
- return this;
- };
- _proto.add = function add(color) {
- this.r += color.r;
- this.g += color.g;
- this.b += color.b;
- return this;
- };
- _proto.addColors = function addColors(color1, color2) {
- this.r = color1.r + color2.r;
- this.g = color1.g + color2.g;
- this.b = color1.b + color2.b;
- return this;
- };
- _proto.addScalar = function addScalar(s) {
- this.r += s;
- this.g += s;
- this.b += s;
- return this;
- };
- _proto.sub = function sub(color) {
- this.r = Math.max(0, this.r - color.r);
- this.g = Math.max(0, this.g - color.g);
- this.b = Math.max(0, this.b - color.b);
- return this;
- };
- _proto.multiply = function multiply(color) {
- this.r *= color.r;
- this.g *= color.g;
- this.b *= color.b;
- return this;
- };
- _proto.multiplyScalar = function multiplyScalar(s) {
- this.r *= s;
- this.g *= s;
- this.b *= s;
- return this;
- };
- _proto.lerp = function lerp(color, alpha) {
- this.r += (color.r - this.r) * alpha;
- this.g += (color.g - this.g) * alpha;
- this.b += (color.b - this.b) * alpha;
- return this;
- };
- _proto.lerpHSL = function lerpHSL(color, alpha) {
- this.getHSL(_hslA);
- color.getHSL(_hslB);
- var h = MathUtils.lerp(_hslA.h, _hslB.h, alpha);
- var s = MathUtils.lerp(_hslA.s, _hslB.s, alpha);
- var l = MathUtils.lerp(_hslA.l, _hslB.l, alpha);
- this.setHSL(h, s, l);
- return this;
- };
- _proto.equals = function equals(c) {
- return c.r === this.r && c.g === this.g && c.b === this.b;
- };
- _proto.fromArray = function fromArray(array, offset) {
- if (offset === void 0) {
- offset = 0;
- }
- this.r = array[offset];
- this.g = array[offset + 1];
- this.b = array[offset + 2];
- return this;
- };
- _proto.toArray = function toArray(array, offset) {
- if (array === void 0) {
- array = [];
- }
- if (offset === void 0) {
- offset = 0;
- }
- array[offset] = this.r;
- array[offset + 1] = this.g;
- array[offset + 2] = this.b;
- return array;
- };
- _proto.fromBufferAttribute = function fromBufferAttribute(attribute, index) {
- this.r = attribute.getX(index);
- this.g = attribute.getY(index);
- this.b = attribute.getZ(index);
- if (attribute.normalized === true) {
- // assuming Uint8Array
- this.r /= 255;
- this.g /= 255;
- this.b /= 255;
- }
- return this;
- };
- _proto.toJSON = function toJSON() {
- return this.getHex();
- };
- return Color;
- }();
- Color.NAMES = _colorKeywords;
- Color.prototype.r = 1;
- Color.prototype.g = 1;
- Color.prototype.b = 1;
- var Face3 = /*#__PURE__*/function () {
- function Face3(a, b, c, normal, color, materialIndex) {
- if (materialIndex === void 0) {
- materialIndex = 0;
- }
- this.a = a;
- this.b = b;
- this.c = c;
- this.normal = normal && normal.isVector3 ? normal : new Vector3();
- this.vertexNormals = Array.isArray(normal) ? normal : [];
- this.color = color && color.isColor ? color : new Color();
- this.vertexColors = Array.isArray(color) ? color : [];
- this.materialIndex = materialIndex;
- }
- var _proto = Face3.prototype;
- _proto.clone = function clone() {
- return new this.constructor().copy(this);
- };
- _proto.copy = function copy(source) {
- this.a = source.a;
- this.b = source.b;
- this.c = source.c;
- this.normal.copy(source.normal);
- this.color.copy(source.color);
- this.materialIndex = source.materialIndex;
- for (var i = 0, il = source.vertexNormals.length; i < il; i++) {
- this.vertexNormals[i] = source.vertexNormals[i].clone();
- }
- for (var _i = 0, _il = source.vertexColors.length; _i < _il; _i++) {
- this.vertexColors[_i] = source.vertexColors[_i].clone();
- }
- return this;
- };
- return Face3;
- }();
- var materialId = 0;
- function Material() {
- Object.defineProperty(this, 'id', {
- value: materialId++
- });
- this.uuid = MathUtils.generateUUID();
- this.name = '';
- this.type = 'Material';
- this.fog = true;
- this.blending = NormalBlending;
- this.side = FrontSide;
- this.flatShading = false;
- this.vertexColors = false;
- this.opacity = 1;
- this.transparent = false;
- this.blendSrc = SrcAlphaFactor;
- this.blendDst = OneMinusSrcAlphaFactor;
- this.blendEquation = AddEquation;
- this.blendSrcAlpha = null;
- this.blendDstAlpha = null;
- this.blendEquationAlpha = null;
- this.depthFunc = LessEqualDepth;
- this.depthTest = true;
- this.depthWrite = true;
- this.stencilWriteMask = 0xff;
- this.stencilFunc = AlwaysStencilFunc;
- this.stencilRef = 0;
- this.stencilFuncMask = 0xff;
- this.stencilFail = KeepStencilOp;
- this.stencilZFail = KeepStencilOp;
- this.stencilZPass = KeepStencilOp;
- this.stencilWrite = false;
- this.clippingPlanes = null;
- this.clipIntersection = false;
- this.clipShadows = false;
- this.shadowSide = null;
- this.colorWrite = true;
- this.precision = null; // override the renderer's default precision for this material
- this.polygonOffset = false;
- this.polygonOffsetFactor = 0;
- this.polygonOffsetUnits = 0;
- this.dithering = false;
- this.alphaTest = 0;
- this.premultipliedAlpha = false;
- this.visible = true;
- this.toneMapped = true;
- this.userData = {};
- this.version = 0;
- }
- Material.prototype = Object.assign(Object.create(EventDispatcher.prototype), {
- constructor: Material,
- isMaterial: true,
- onBeforeCompile: function onBeforeCompile()
- /* shaderobject, renderer */
- {},
- customProgramCacheKey: function customProgramCacheKey() {
- return this.onBeforeCompile.toString();
- },
- setValues: function setValues(values) {
- if (values === undefined) return;
- for (var key in values) {
- var newValue = values[key];
- if (newValue === undefined) {
- console.warn('THREE.Material: \'' + key + '\' parameter is undefined.');
- continue;
- } // for backward compatability if shading is set in the constructor
-
- if (key === 'shading') {
- console.warn('THREE.' + this.type + ': .shading has been removed. Use the boolean .flatShading instead.');
- this.flatShading = newValue === FlatShading ? true : false;
- continue;
- }
- var currentValue = this[key];
- if (currentValue === undefined) {
- console.warn('THREE.' + this.type + ': \'' + key + '\' is not a property of this material.');
- continue;
- }
- if (currentValue && currentValue.isColor) {
- currentValue.set(newValue);
- } else if (currentValue && currentValue.isVector3 && newValue && newValue.isVector3) {
- currentValue.copy(newValue);
- } else {
- this[key] = newValue;
- }
- }
- },
- toJSON: function toJSON(meta) {
- var isRoot = meta === undefined || typeof meta === 'string';
- if (isRoot) {
- meta = {
- textures: {},
- images: {}
- };
- }
- var data = {
- metadata: {
- version: 4.5,
- type: 'Material',
- generator: 'Material.toJSON'
- }
- }; // standard Material serialization
- data.uuid = this.uuid;
- data.type = this.type;
- if (this.name !== '') data.name = this.name;
- if (this.color && this.color.isColor) data.color = this.color.getHex();
- if (this.roughness !== undefined) data.roughness = this.roughness;
- if (this.metalness !== undefined) data.metalness = this.metalness;
- if (this.sheen && this.sheen.isColor) data.sheen = this.sheen.getHex();
- if (this.emissive && this.emissive.isColor) data.emissive = this.emissive.getHex();
- if (this.emissiveIntensity && this.emissiveIntensity !== 1) data.emissiveIntensity = this.emissiveIntensity;
- if (this.specular && this.specular.isColor) data.specular = this.specular.getHex();
- if (this.shininess !== undefined) data.shininess = this.shininess;
- if (this.clearcoat !== undefined) data.clearcoat = this.clearcoat;
- if (this.clearcoatRoughness !== undefined) data.clearcoatRoughness = this.clearcoatRoughness;
- if (this.clearcoatMap && this.clearcoatMap.isTexture) {
- data.clearcoatMap = this.clearcoatMap.toJSON(meta).uuid;
- }
- if (this.clearcoatRoughnessMap && this.clearcoatRoughnessMap.isTexture) {
- data.clearcoatRoughnessMap = this.clearcoatRoughnessMap.toJSON(meta).uuid;
- }
- if (this.clearcoatNormalMap && this.clearcoatNormalMap.isTexture) {
- data.clearcoatNormalMap = this.clearcoatNormalMap.toJSON(meta).uuid;
- data.clearcoatNormalScale = this.clearcoatNormalScale.toArray();
- }
- if (this.map && this.map.isTexture) data.map = this.map.toJSON(meta).uuid;
- if (this.matcap && this.matcap.isTexture) data.matcap = this.matcap.toJSON(meta).uuid;
- if (this.alphaMap && this.alphaMap.isTexture) data.alphaMap = this.alphaMap.toJSON(meta).uuid;
- if (this.lightMap && this.lightMap.isTexture) data.lightMap = this.lightMap.toJSON(meta).uuid;
- if (this.aoMap && this.aoMap.isTexture) {
- data.aoMap = this.aoMap.toJSON(meta).uuid;
- data.aoMapIntensity = this.aoMapIntensity;
- }
- if (this.bumpMap && this.bumpMap.isTexture) {
- data.bumpMap = this.bumpMap.toJSON(meta).uuid;
- data.bumpScale = this.bumpScale;
- }
- if (this.normalMap && this.normalMap.isTexture) {
- data.normalMap = this.normalMap.toJSON(meta).uuid;
- data.normalMapType = this.normalMapType;
- data.normalScale = this.normalScale.toArray();
- }
- if (this.displacementMap && this.displacementMap.isTexture) {
- data.displacementMap = this.displacementMap.toJSON(meta).uuid;
- data.displacementScale = this.displacementScale;
- data.displacementBias = this.displacementBias;
- }
- if (this.roughnessMap && this.roughnessMap.isTexture) data.roughnessMap = this.roughnessMap.toJSON(meta).uuid;
- if (this.metalnessMap && this.metalnessMap.isTexture) data.metalnessMap = this.metalnessMap.toJSON(meta).uuid;
- if (this.emissiveMap && this.emissiveMap.isTexture) data.emissiveMap = this.emissiveMap.toJSON(meta).uuid;
- if (this.specularMap && this.specularMap.isTexture) data.specularMap = this.specularMap.toJSON(meta).uuid;
- if (this.envMap && this.envMap.isTexture) {
- data.envMap = this.envMap.toJSON(meta).uuid;
- data.reflectivity = this.reflectivity; // Scale behind envMap
- data.refractionRatio = this.refractionRatio;
- if (this.combine !== undefined) data.combine = this.combine;
- if (this.envMapIntensity !== undefined) data.envMapIntensity = this.envMapIntensity;
- }
- if (this.gradientMap && this.gradientMap.isTexture) {
- data.gradientMap = this.gradientMap.toJSON(meta).uuid;
- }
- if (this.size !== undefined) data.size = this.size;
- if (this.sizeAttenuation !== undefined) data.sizeAttenuation = this.sizeAttenuation;
- if (this.blending !== NormalBlending) data.blending = this.blending;
- if (this.flatShading === true) data.flatShading = this.flatShading;
- if (this.side !== FrontSide) data.side = this.side;
- if (this.vertexColors) data.vertexColors = true;
- if (this.opacity < 1) data.opacity = this.opacity;
- if (this.transparent === true) data.transparent = this.transparent;
- data.depthFunc = this.depthFunc;
- data.depthTest = this.depthTest;
- data.depthWrite = this.depthWrite;
- data.stencilWrite = this.stencilWrite;
- data.stencilWriteMask = this.stencilWriteMask;
- data.stencilFunc = this.stencilFunc;
- data.stencilRef = this.stencilRef;
- data.stencilFuncMask = this.stencilFuncMask;
- data.stencilFail = this.stencilFail;
- data.stencilZFail = this.stencilZFail;
- data.stencilZPass = this.stencilZPass; // rotation (SpriteMaterial)
- if (this.rotation && this.rotation !== 0) data.rotation = this.rotation;
- if (this.polygonOffset === true) data.polygonOffset = true;
- if (this.polygonOffsetFactor !== 0) data.polygonOffsetFactor = this.polygonOffsetFactor;
- if (this.polygonOffsetUnits !== 0) data.polygonOffsetUnits = this.polygonOffsetUnits;
- if (this.linewidth && this.linewidth !== 1) data.linewidth = this.linewidth;
- if (this.dashSize !== undefined) data.dashSize = this.dashSize;
- if (this.gapSize !== undefined) data.gapSize = this.gapSize;
- if (this.scale !== undefined) data.scale = this.scale;
- if (this.dithering === true) data.dithering = true;
- if (this.alphaTest > 0) data.alphaTest = this.alphaTest;
- if (this.premultipliedAlpha === true) data.premultipliedAlpha = this.premultipliedAlpha;
- if (this.wireframe === true) data.wireframe = this.wireframe;
- if (this.wireframeLinewidth > 1) data.wireframeLinewidth = this.wireframeLinewidth;
- if (this.wireframeLinecap !== 'round') data.wireframeLinecap = this.wireframeLinecap;
- if (this.wireframeLinejoin !== 'round') data.wireframeLinejoin = this.wireframeLinejoin;
- if (this.morphTargets === true) data.morphTargets = true;
- if (this.morphNormals === true) data.morphNormals = true;
- if (this.skinning === true) data.skinning = true;
- if (this.visible === false) data.visible = false;
- if (this.toneMapped === false) data.toneMapped = false;
- if (JSON.stringify(this.userData) !== '{}') data.userData = this.userData; // TODO: Copied from Object3D.toJSON
- function extractFromCache(cache) {
- var values = [];
- for (var key in cache) {
- var _data = cache[key];
- delete _data.metadata;
- values.push(_data);
- }
- return values;
- }
- if (isRoot) {
- var textures = extractFromCache(meta.textures);
- var images = extractFromCache(meta.images);
- if (textures.length > 0) data.textures = textures;
- if (images.length > 0) data.images = images;
- }
- return data;
- },
- clone: function clone() {
- return new this.constructor().copy(this);
- },
- copy: function copy(source) {
- this.name = source.name;
- this.fog = source.fog;
- this.blending = source.blending;
- this.side = source.side;
- this.flatShading = source.flatShading;
- this.vertexColors = source.vertexColors;
- this.opacity = source.opacity;
- this.transparent = source.transparent;
- this.blendSrc = source.blendSrc;
- this.blendDst = source.blendDst;
- this.blendEquation = source.blendEquation;
- this.blendSrcAlpha = source.blendSrcAlpha;
- this.blendDstAlpha = source.blendDstAlpha;
- this.blendEquationAlpha = source.blendEquationAlpha;
- this.depthFunc = source.depthFunc;
- this.depthTest = source.depthTest;
- this.depthWrite = source.depthWrite;
- this.stencilWriteMask = source.stencilWriteMask;
- this.stencilFunc = source.stencilFunc;
- this.stencilRef = source.stencilRef;
- this.stencilFuncMask = source.stencilFuncMask;
- this.stencilFail = source.stencilFail;
- this.stencilZFail = source.stencilZFail;
- this.stencilZPass = source.stencilZPass;
- this.stencilWrite = source.stencilWrite;
- var srcPlanes = source.clippingPlanes;
- var dstPlanes = null;
- if (srcPlanes !== null) {
- var n = srcPlanes.length;
- dstPlanes = new Array(n);
- for (var i = 0; i !== n; ++i) {
- dstPlanes[i] = srcPlanes[i].clone();
- }
- }
- this.clippingPlanes = dstPlanes;
- this.clipIntersection = source.clipIntersection;
- this.clipShadows = source.clipShadows;
- this.shadowSide = source.shadowSide;
- this.colorWrite = source.colorWrite;
- this.precision = source.precision;
- this.polygonOffset = source.polygonOffset;
- this.polygonOffsetFactor = source.polygonOffsetFactor;
- this.polygonOffsetUnits = source.polygonOffsetUnits;
- this.dithering = source.dithering;
- this.alphaTest = source.alphaTest;
- this.premultipliedAlpha = source.premultipliedAlpha;
- this.visible = source.visible;
- this.toneMapped = source.toneMapped;
- this.userData = JSON.parse(JSON.stringify(source.userData));
- return this;
- },
- dispose: function dispose() {
- this.dispatchEvent({
- type: 'dispose'
- });
- }
- });
- Object.defineProperty(Material.prototype, 'needsUpdate', {
- set: function set(value) {
- if (value === true) this.version++;
- }
- });
- /**
- * parameters = {
- * color: ,
- * opacity: ,
- * map: new THREE.Texture( ),
- *
- * lightMap: new THREE.Texture( ),
- * lightMapIntensity:
- *
- * aoMap: new THREE.Texture( ),
- * aoMapIntensity:
- *
- * specularMap: new THREE.Texture( ),
- *
- * alphaMap: new THREE.Texture( ),
- *
- * envMap: new THREE.CubeTexture( [posx, negx, posy, negy, posz, negz] ),
- * combine: THREE.Multiply,
- * reflectivity: ,
- * refractionRatio: ,
- *
- * depthTest: ,
- * depthWrite: ,
- *
- * wireframe: ,
- * wireframeLinewidth: ,
- *
- * skinning: ,
- * morphTargets:
- * }
- */
- function MeshBasicMaterial(parameters) {
- Material.call(this);
- this.type = 'MeshBasicMaterial';
- this.color = new Color(0xffffff); // emissive
- this.map = null;
- this.lightMap = null;
- this.lightMapIntensity = 1.0;
- this.aoMap = null;
- this.aoMapIntensity = 1.0;
- this.specularMap = null;
- this.alphaMap = null;
- this.envMap = null;
- this.combine = MultiplyOperation;
- this.reflectivity = 1;
- this.refractionRatio = 0.98;
- this.wireframe = false;
- this.wireframeLinewidth = 1;
- this.wireframeLinecap = 'round';
- this.wireframeLinejoin = 'round';
- this.skinning = false;
- this.morphTargets = false;
- this.setValues(parameters);
- }
- MeshBasicMaterial.prototype = Object.create(Material.prototype);
- MeshBasicMaterial.prototype.constructor = MeshBasicMaterial;
- MeshBasicMaterial.prototype.isMeshBasicMaterial = true;
- MeshBasicMaterial.prototype.copy = function (source) {
- Material.prototype.copy.call(this, source);
- this.color.copy(source.color);
- this.map = source.map;
- this.lightMap = source.lightMap;
- this.lightMapIntensity = source.lightMapIntensity;
- this.aoMap = source.aoMap;
- this.aoMapIntensity = source.aoMapIntensity;
- this.specularMap = source.specularMap;
- this.alphaMap = source.alphaMap;
- this.envMap = source.envMap;
- this.combine = source.combine;
- this.reflectivity = source.reflectivity;
- this.refractionRatio = source.refractionRatio;
- this.wireframe = source.wireframe;
- this.wireframeLinewidth = source.wireframeLinewidth;
- this.wireframeLinecap = source.wireframeLinecap;
- this.wireframeLinejoin = source.wireframeLinejoin;
- this.skinning = source.skinning;
- this.morphTargets = source.morphTargets;
- return this;
- };
- var _vector$3 = new Vector3();
- var _vector2$1 = new Vector2();
- function BufferAttribute(array, itemSize, normalized) {
- if (Array.isArray(array)) {
- throw new TypeError('THREE.BufferAttribute: array should be a Typed Array.');
- }
- this.name = '';
- this.array = array;
- this.itemSize = itemSize;
- this.count = array !== undefined ? array.length / itemSize : 0;
- this.normalized = normalized === true;
- this.usage = StaticDrawUsage;
- this.updateRange = {
- offset: 0,
- count: -1
- };
- this.version = 0;
- }
- Object.defineProperty(BufferAttribute.prototype, 'needsUpdate', {
- set: function set(value) {
- if (value === true) this.version++;
- }
- });
- Object.assign(BufferAttribute.prototype, {
- isBufferAttribute: true,
- onUploadCallback: function onUploadCallback() {},
- setUsage: function setUsage(value) {
- this.usage = value;
- return this;
- },
- copy: function copy(source) {
- this.name = source.name;
- this.array = new source.array.constructor(source.array);
- this.itemSize = source.itemSize;
- this.count = source.count;
- this.normalized = source.normalized;
- this.usage = source.usage;
- return this;
- },
- copyAt: function copyAt(index1, attribute, index2) {
- index1 *= this.itemSize;
- index2 *= attribute.itemSize;
- for (var i = 0, l = this.itemSize; i < l; i++) {
- this.array[index1 + i] = attribute.array[index2 + i];
- }
- return this;
- },
- copyArray: function copyArray(array) {
- this.array.set(array);
- return this;
- },
- copyColorsArray: function copyColorsArray(colors) {
- var array = this.array;
- var offset = 0;
- for (var i = 0, l = colors.length; i < l; i++) {
- var color = colors[i];
- if (color === undefined) {
- console.warn('THREE.BufferAttribute.copyColorsArray(): color is undefined', i);
- color = new Color();
- }
- array[offset++] = color.r;
- array[offset++] = color.g;
- array[offset++] = color.b;
- }
- return this;
- },
- copyVector2sArray: function copyVector2sArray(vectors) {
- var array = this.array;
- var offset = 0;
- for (var i = 0, l = vectors.length; i < l; i++) {
- var vector = vectors[i];
- if (vector === undefined) {
- console.warn('THREE.BufferAttribute.copyVector2sArray(): vector is undefined', i);
- vector = new Vector2();
- }
- array[offset++] = vector.x;
- array[offset++] = vector.y;
- }
- return this;
- },
- copyVector3sArray: function copyVector3sArray(vectors) {
- var array = this.array;
- var offset = 0;
- for (var i = 0, l = vectors.length; i < l; i++) {
- var vector = vectors[i];
- if (vector === undefined) {
- console.warn('THREE.BufferAttribute.copyVector3sArray(): vector is undefined', i);
- vector = new Vector3();
- }
- array[offset++] = vector.x;
- array[offset++] = vector.y;
- array[offset++] = vector.z;
- }
- return this;
- },
- copyVector4sArray: function copyVector4sArray(vectors) {
- var array = this.array;
- var offset = 0;
- for (var i = 0, l = vectors.length; i < l; i++) {
- var vector = vectors[i];
- if (vector === undefined) {
- console.warn('THREE.BufferAttribute.copyVector4sArray(): vector is undefined', i);
- vector = new Vector4();
- }
- array[offset++] = vector.x;
- array[offset++] = vector.y;
- array[offset++] = vector.z;
- array[offset++] = vector.w;
- }
- return this;
- },
- applyMatrix3: function applyMatrix3(m) {
- if (this.itemSize === 2) {
- for (var i = 0, l = this.count; i < l; i++) {
- _vector2$1.fromBufferAttribute(this, i);
- _vector2$1.applyMatrix3(m);
- this.setXY(i, _vector2$1.x, _vector2$1.y);
- }
- } else if (this.itemSize === 3) {
- for (var _i = 0, _l = this.count; _i < _l; _i++) {
- _vector$3.fromBufferAttribute(this, _i);
- _vector$3.applyMatrix3(m);
- this.setXYZ(_i, _vector$3.x, _vector$3.y, _vector$3.z);
- }
- }
- return this;
- },
- applyMatrix4: function applyMatrix4(m) {
- for (var i = 0, l = this.count; i < l; i++) {
- _vector$3.x = this.getX(i);
- _vector$3.y = this.getY(i);
- _vector$3.z = this.getZ(i);
- _vector$3.applyMatrix4(m);
- this.setXYZ(i, _vector$3.x, _vector$3.y, _vector$3.z);
- }
- return this;
- },
- applyNormalMatrix: function applyNormalMatrix(m) {
- for (var i = 0, l = this.count; i < l; i++) {
- _vector$3.x = this.getX(i);
- _vector$3.y = this.getY(i);
- _vector$3.z = this.getZ(i);
- _vector$3.applyNormalMatrix(m);
- this.setXYZ(i, _vector$3.x, _vector$3.y, _vector$3.z);
- }
- return this;
- },
- transformDirection: function transformDirection(m) {
- for (var i = 0, l = this.count; i < l; i++) {
- _vector$3.x = this.getX(i);
- _vector$3.y = this.getY(i);
- _vector$3.z = this.getZ(i);
- _vector$3.transformDirection(m);
- this.setXYZ(i, _vector$3.x, _vector$3.y, _vector$3.z);
- }
- return this;
- },
- set: function set(value, offset) {
- if (offset === void 0) {
- offset = 0;
- }
- this.array.set(value, offset);
- return this;
- },
- getX: function getX(index) {
- return this.array[index * this.itemSize];
- },
- setX: function setX(index, x) {
- this.array[index * this.itemSize] = x;
- return this;
- },
- getY: function getY(index) {
- return this.array[index * this.itemSize + 1];
- },
- setY: function setY(index, y) {
- this.array[index * this.itemSize + 1] = y;
- return this;
- },
- getZ: function getZ(index) {
- return this.array[index * this.itemSize + 2];
- },
- setZ: function setZ(index, z) {
- this.array[index * this.itemSize + 2] = z;
- return this;
- },
- getW: function getW(index) {
- return this.array[index * this.itemSize + 3];
- },
- setW: function setW(index, w) {
- this.array[index * this.itemSize + 3] = w;
- return this;
- },
- setXY: function setXY(index, x, y) {
- index *= this.itemSize;
- this.array[index + 0] = x;
- this.array[index + 1] = y;
- return this;
- },
- setXYZ: function setXYZ(index, x, y, z) {
- index *= this.itemSize;
- this.array[index + 0] = x;
- this.array[index + 1] = y;
- this.array[index + 2] = z;
- return this;
- },
- setXYZW: function setXYZW(index, x, y, z, w) {
- index *= this.itemSize;
- this.array[index + 0] = x;
- this.array[index + 1] = y;
- this.array[index + 2] = z;
- this.array[index + 3] = w;
- return this;
- },
- onUpload: function onUpload(callback) {
- this.onUploadCallback = callback;
- return this;
- },
- clone: function clone() {
- return new this.constructor(this.array, this.itemSize).copy(this);
- },
- toJSON: function toJSON() {
- return {
- itemSize: this.itemSize,
- type: this.array.constructor.name,
- array: Array.prototype.slice.call(this.array),
- normalized: this.normalized
- };
- }
- }); //
- function Int8BufferAttribute(array, itemSize, normalized) {
- BufferAttribute.call(this, new Int8Array(array), itemSize, normalized);
- }
- Int8BufferAttribute.prototype = Object.create(BufferAttribute.prototype);
- Int8BufferAttribute.prototype.constructor = Int8BufferAttribute;
- function Uint8BufferAttribute(array, itemSize, normalized) {
- BufferAttribute.call(this, new Uint8Array(array), itemSize, normalized);
- }
- Uint8BufferAttribute.prototype = Object.create(BufferAttribute.prototype);
- Uint8BufferAttribute.prototype.constructor = Uint8BufferAttribute;
- function Uint8ClampedBufferAttribute(array, itemSize, normalized) {
- BufferAttribute.call(this, new Uint8ClampedArray(array), itemSize, normalized);
- }
- Uint8ClampedBufferAttribute.prototype = Object.create(BufferAttribute.prototype);
- Uint8ClampedBufferAttribute.prototype.constructor = Uint8ClampedBufferAttribute;
- function Int16BufferAttribute(array, itemSize, normalized) {
- BufferAttribute.call(this, new Int16Array(array), itemSize, normalized);
- }
- Int16BufferAttribute.prototype = Object.create(BufferAttribute.prototype);
- Int16BufferAttribute.prototype.constructor = Int16BufferAttribute;
- function Uint16BufferAttribute(array, itemSize, normalized) {
- BufferAttribute.call(this, new Uint16Array(array), itemSize, normalized);
- }
- Uint16BufferAttribute.prototype = Object.create(BufferAttribute.prototype);
- Uint16BufferAttribute.prototype.constructor = Uint16BufferAttribute;
- function Int32BufferAttribute(array, itemSize, normalized) {
- BufferAttribute.call(this, new Int32Array(array), itemSize, normalized);
- }
- Int32BufferAttribute.prototype = Object.create(BufferAttribute.prototype);
- Int32BufferAttribute.prototype.constructor = Int32BufferAttribute;
- function Uint32BufferAttribute(array, itemSize, normalized) {
- BufferAttribute.call(this, new Uint32Array(array), itemSize, normalized);
- }
- Uint32BufferAttribute.prototype = Object.create(BufferAttribute.prototype);
- Uint32BufferAttribute.prototype.constructor = Uint32BufferAttribute;
- function Float16BufferAttribute(array, itemSize, normalized) {
- BufferAttribute.call(this, new Uint16Array(array), itemSize, normalized);
- }
- Float16BufferAttribute.prototype = Object.create(BufferAttribute.prototype);
- Float16BufferAttribute.prototype.constructor = Float16BufferAttribute;
- Float16BufferAttribute.prototype.isFloat16BufferAttribute = true;
- function Float32BufferAttribute(array, itemSize, normalized) {
- BufferAttribute.call(this, new Float32Array(array), itemSize, normalized);
- }
- Float32BufferAttribute.prototype = Object.create(BufferAttribute.prototype);
- Float32BufferAttribute.prototype.constructor = Float32BufferAttribute;
- function Float64BufferAttribute(array, itemSize, normalized) {
- BufferAttribute.call(this, new Float64Array(array), itemSize, normalized);
- }
- Float64BufferAttribute.prototype = Object.create(BufferAttribute.prototype);
- Float64BufferAttribute.prototype.constructor = Float64BufferAttribute; //
- var DirectGeometry = /*#__PURE__*/function () {
- function DirectGeometry() {
- this.vertices = [];
- this.normals = [];
- this.colors = [];
- this.uvs = [];
- this.uvs2 = [];
- this.groups = [];
- this.morphTargets = {};
- this.skinWeights = [];
- this.skinIndices = []; // this.lineDistances = [];
- this.boundingBox = null;
- this.boundingSphere = null; // update flags
- this.verticesNeedUpdate = false;
- this.normalsNeedUpdate = false;
- this.colorsNeedUpdate = false;
- this.uvsNeedUpdate = false;
- this.groupsNeedUpdate = false;
- }
- var _proto = DirectGeometry.prototype;
- _proto.computeGroups = function computeGroups(geometry) {
- var groups = [];
- var group, i;
- var materialIndex = undefined;
- var faces = geometry.faces;
- for (i = 0; i < faces.length; i++) {
- var face = faces[i]; // materials
- if (face.materialIndex !== materialIndex) {
- materialIndex = face.materialIndex;
- if (group !== undefined) {
- group.count = i * 3 - group.start;
- groups.push(group);
- }
- group = {
- start: i * 3,
- materialIndex: materialIndex
- };
- }
- }
- if (group !== undefined) {
- group.count = i * 3 - group.start;
- groups.push(group);
- }
- this.groups = groups;
- };
- _proto.fromGeometry = function fromGeometry(geometry) {
- var faces = geometry.faces;
- var vertices = geometry.vertices;
- var faceVertexUvs = geometry.faceVertexUvs;
- var hasFaceVertexUv = faceVertexUvs[0] && faceVertexUvs[0].length > 0;
- var hasFaceVertexUv2 = faceVertexUvs[1] && faceVertexUvs[1].length > 0; // morphs
- var morphTargets = geometry.morphTargets;
- var morphTargetsLength = morphTargets.length;
- var morphTargetsPosition;
- if (morphTargetsLength > 0) {
- morphTargetsPosition = [];
- for (var i = 0; i < morphTargetsLength; i++) {
- morphTargetsPosition[i] = {
- name: morphTargets[i].name,
- data: []
- };
- }
- this.morphTargets.position = morphTargetsPosition;
- }
- var morphNormals = geometry.morphNormals;
- var morphNormalsLength = morphNormals.length;
- var morphTargetsNormal;
- if (morphNormalsLength > 0) {
- morphTargetsNormal = [];
- for (var _i = 0; _i < morphNormalsLength; _i++) {
- morphTargetsNormal[_i] = {
- name: morphNormals[_i].name,
- data: []
- };
- }
- this.morphTargets.normal = morphTargetsNormal;
- } // skins
-
- var skinIndices = geometry.skinIndices;
- var skinWeights = geometry.skinWeights;
- var hasSkinIndices = skinIndices.length === vertices.length;
- var hasSkinWeights = skinWeights.length === vertices.length; //
- if (vertices.length > 0 && faces.length === 0) {
- console.error('THREE.DirectGeometry: Faceless geometries are not supported.');
- }
- for (var _i2 = 0; _i2 < faces.length; _i2++) {
- var face = faces[_i2];
- this.vertices.push(vertices[face.a], vertices[face.b], vertices[face.c]);
- var vertexNormals = face.vertexNormals;
- if (vertexNormals.length === 3) {
- this.normals.push(vertexNormals[0], vertexNormals[1], vertexNormals[2]);
- } else {
- var normal = face.normal;
- this.normals.push(normal, normal, normal);
- }
- var vertexColors = face.vertexColors;
- if (vertexColors.length === 3) {
- this.colors.push(vertexColors[0], vertexColors[1], vertexColors[2]);
- } else {
- var color = face.color;
- this.colors.push(color, color, color);
- }
- if (hasFaceVertexUv === true) {
- var vertexUvs = faceVertexUvs[0][_i2];
- if (vertexUvs !== undefined) {
- this.uvs.push(vertexUvs[0], vertexUvs[1], vertexUvs[2]);
- } else {
- console.warn('THREE.DirectGeometry.fromGeometry(): Undefined vertexUv ', _i2);
- this.uvs.push(new Vector2(), new Vector2(), new Vector2());
- }
- }
- if (hasFaceVertexUv2 === true) {
- var _vertexUvs = faceVertexUvs[1][_i2];
- if (_vertexUvs !== undefined) {
- this.uvs2.push(_vertexUvs[0], _vertexUvs[1], _vertexUvs[2]);
- } else {
- console.warn('THREE.DirectGeometry.fromGeometry(): Undefined vertexUv2 ', _i2);
- this.uvs2.push(new Vector2(), new Vector2(), new Vector2());
- }
- } // morphs
-
- for (var j = 0; j < morphTargetsLength; j++) {
- var morphTarget = morphTargets[j].vertices;
- morphTargetsPosition[j].data.push(morphTarget[face.a], morphTarget[face.b], morphTarget[face.c]);
- }
- for (var _j = 0; _j < morphNormalsLength; _j++) {
- var morphNormal = morphNormals[_j].vertexNormals[_i2];
- morphTargetsNormal[_j].data.push(morphNormal.a, morphNormal.b, morphNormal.c);
- } // skins
-
- if (hasSkinIndices) {
- this.skinIndices.push(skinIndices[face.a], skinIndices[face.b], skinIndices[face.c]);
- }
- if (hasSkinWeights) {
- this.skinWeights.push(skinWeights[face.a], skinWeights[face.b], skinWeights[face.c]);
- }
- }
- this.computeGroups(geometry);
- this.verticesNeedUpdate = geometry.verticesNeedUpdate;
- this.normalsNeedUpdate = geometry.normalsNeedUpdate;
- this.colorsNeedUpdate = geometry.colorsNeedUpdate;
- this.uvsNeedUpdate = geometry.uvsNeedUpdate;
- this.groupsNeedUpdate = geometry.groupsNeedUpdate;
- if (geometry.boundingSphere !== null) {
- this.boundingSphere = geometry.boundingSphere.clone();
- }
- if (geometry.boundingBox !== null) {
- this.boundingBox = geometry.boundingBox.clone();
- }
- return this;
- };
- return DirectGeometry;
- }();
- function arrayMax(array) {
- if (array.length === 0) return -Infinity;
- var max = array[0];
- for (var i = 1, l = array.length; i < l; ++i) {
- if (array[i] > max) max = array[i];
- }
- return max;
- }
- var TYPED_ARRAYS = {
- Int8Array: Int8Array,
- Uint8Array: Uint8Array,
- // Workaround for IE11 pre KB2929437. See #11440
- Uint8ClampedArray: typeof Uint8ClampedArray !== 'undefined' ? Uint8ClampedArray : Uint8Array,
- Int16Array: Int16Array,
- Uint16Array: Uint16Array,
- Int32Array: Int32Array,
- Uint32Array: Uint32Array,
- Float32Array: Float32Array,
- Float64Array: Float64Array
- };
- function getTypedArray(type, buffer) {
- return new TYPED_ARRAYS[type](buffer);
- }
- var _bufferGeometryId = 1; // BufferGeometry uses odd numbers as Id
- var _m1$2 = new Matrix4();
- var _obj = new Object3D();
- var _offset = new Vector3();
- var _box$2 = new Box3();
- var _boxMorphTargets = new Box3();
- var _vector$4 = new Vector3();
- function BufferGeometry() {
- Object.defineProperty(this, 'id', {
- value: _bufferGeometryId += 2
- });
- this.uuid = MathUtils.generateUUID();
- this.name = '';
- this.type = 'BufferGeometry';
- this.index = null;
- this.attributes = {};
- this.morphAttributes = {};
- this.morphTargetsRelative = false;
- this.groups = [];
- this.boundingBox = null;
- this.boundingSphere = null;
- this.drawRange = {
- start: 0,
- count: Infinity
- };
- this.userData = {};
- }
- BufferGeometry.prototype = Object.assign(Object.create(EventDispatcher.prototype), {
- constructor: BufferGeometry,
- isBufferGeometry: true,
- getIndex: function getIndex() {
- return this.index;
- },
- setIndex: function setIndex(index) {
- if (Array.isArray(index)) {
- this.index = new (arrayMax(index) > 65535 ? Uint32BufferAttribute : Uint16BufferAttribute)(index, 1);
- } else {
- this.index = index;
- }
- return this;
- },
- getAttribute: function getAttribute(name) {
- return this.attributes[name];
- },
- setAttribute: function setAttribute(name, attribute) {
- this.attributes[name] = attribute;
- return this;
- },
- deleteAttribute: function deleteAttribute(name) {
- delete this.attributes[name];
- return this;
- },
- hasAttribute: function hasAttribute(name) {
- return this.attributes[name] !== undefined;
- },
- addGroup: function addGroup(start, count, materialIndex) {
- if (materialIndex === void 0) {
- materialIndex = 0;
- }
- this.groups.push({
- start: start,
- count: count,
- materialIndex: materialIndex
- });
- },
- clearGroups: function clearGroups() {
- this.groups = [];
- },
- setDrawRange: function setDrawRange(start, count) {
- this.drawRange.start = start;
- this.drawRange.count = count;
- },
- applyMatrix4: function applyMatrix4(matrix) {
- var position = this.attributes.position;
- if (position !== undefined) {
- position.applyMatrix4(matrix);
- position.needsUpdate = true;
- }
- var normal = this.attributes.normal;
- if (normal !== undefined) {
- var normalMatrix = new Matrix3().getNormalMatrix(matrix);
- normal.applyNormalMatrix(normalMatrix);
- normal.needsUpdate = true;
- }
- var tangent = this.attributes.tangent;
- if (tangent !== undefined) {
- tangent.transformDirection(matrix);
- tangent.needsUpdate = true;
- }
- if (this.boundingBox !== null) {
- this.computeBoundingBox();
- }
- if (this.boundingSphere !== null) {
- this.computeBoundingSphere();
- }
- return this;
- },
- rotateX: function rotateX(angle) {
- // rotate geometry around world x-axis
- _m1$2.makeRotationX(angle);
- this.applyMatrix4(_m1$2);
- return this;
- },
- rotateY: function rotateY(angle) {
- // rotate geometry around world y-axis
- _m1$2.makeRotationY(angle);
- this.applyMatrix4(_m1$2);
- return this;
- },
- rotateZ: function rotateZ(angle) {
- // rotate geometry around world z-axis
- _m1$2.makeRotationZ(angle);
- this.applyMatrix4(_m1$2);
- return this;
- },
- translate: function translate(x, y, z) {
- // translate geometry
- _m1$2.makeTranslation(x, y, z);
- this.applyMatrix4(_m1$2);
- return this;
- },
- scale: function scale(x, y, z) {
- // scale geometry
- _m1$2.makeScale(x, y, z);
- this.applyMatrix4(_m1$2);
- return this;
- },
- lookAt: function lookAt(vector) {
- _obj.lookAt(vector);
- _obj.updateMatrix();
- this.applyMatrix4(_obj.matrix);
- return this;
- },
- center: function center() {
- this.computeBoundingBox();
- this.boundingBox.getCenter(_offset).negate();
- this.translate(_offset.x, _offset.y, _offset.z);
- return this;
- },
- setFromObject: function setFromObject(object) {
- // console.log( 'THREE.BufferGeometry.setFromObject(). Converting', object, this );
- var geometry = object.geometry;
- if (object.isPoints || object.isLine) {
- var positions = new Float32BufferAttribute(geometry.vertices.length * 3, 3);
- var colors = new Float32BufferAttribute(geometry.colors.length * 3, 3);
- this.setAttribute('position', positions.copyVector3sArray(geometry.vertices));
- this.setAttribute('color', colors.copyColorsArray(geometry.colors));
- if (geometry.lineDistances && geometry.lineDistances.length === geometry.vertices.length) {
- var lineDistances = new Float32BufferAttribute(geometry.lineDistances.length, 1);
- this.setAttribute('lineDistance', lineDistances.copyArray(geometry.lineDistances));
- }
- if (geometry.boundingSphere !== null) {
- this.boundingSphere = geometry.boundingSphere.clone();
- }
- if (geometry.boundingBox !== null) {
- this.boundingBox = geometry.boundingBox.clone();
- }
- } else if (object.isMesh) {
- if (geometry && geometry.isGeometry) {
- this.fromGeometry(geometry);
- }
- }
- return this;
- },
- setFromPoints: function setFromPoints(points) {
- var position = [];
- for (var i = 0, l = points.length; i < l; i++) {
- var point = points[i];
- position.push(point.x, point.y, point.z || 0);
- }
- this.setAttribute('position', new Float32BufferAttribute(position, 3));
- return this;
- },
- updateFromObject: function updateFromObject(object) {
- var geometry = object.geometry;
- if (object.isMesh) {
- var direct = geometry.__directGeometry;
- if (geometry.elementsNeedUpdate === true) {
- direct = undefined;
- geometry.elementsNeedUpdate = false;
- }
- if (direct === undefined) {
- return this.fromGeometry(geometry);
- }
- direct.verticesNeedUpdate = geometry.verticesNeedUpdate;
- direct.normalsNeedUpdate = geometry.normalsNeedUpdate;
- direct.colorsNeedUpdate = geometry.colorsNeedUpdate;
- direct.uvsNeedUpdate = geometry.uvsNeedUpdate;
- direct.groupsNeedUpdate = geometry.groupsNeedUpdate;
- geometry.verticesNeedUpdate = false;
- geometry.normalsNeedUpdate = false;
- geometry.colorsNeedUpdate = false;
- geometry.uvsNeedUpdate = false;
- geometry.groupsNeedUpdate = false;
- geometry = direct;
- }
- if (geometry.verticesNeedUpdate === true) {
- var attribute = this.attributes.position;
- if (attribute !== undefined) {
- attribute.copyVector3sArray(geometry.vertices);
- attribute.needsUpdate = true;
- }
- geometry.verticesNeedUpdate = false;
- }
- if (geometry.normalsNeedUpdate === true) {
- var _attribute = this.attributes.normal;
- if (_attribute !== undefined) {
- _attribute.copyVector3sArray(geometry.normals);
- _attribute.needsUpdate = true;
- }
- geometry.normalsNeedUpdate = false;
- }
- if (geometry.colorsNeedUpdate === true) {
- var _attribute2 = this.attributes.color;
- if (_attribute2 !== undefined) {
- _attribute2.copyColorsArray(geometry.colors);
- _attribute2.needsUpdate = true;
- }
- geometry.colorsNeedUpdate = false;
- }
- if (geometry.uvsNeedUpdate) {
- var _attribute3 = this.attributes.uv;
- if (_attribute3 !== undefined) {
- _attribute3.copyVector2sArray(geometry.uvs);
- _attribute3.needsUpdate = true;
- }
- geometry.uvsNeedUpdate = false;
- }
- if (geometry.lineDistancesNeedUpdate) {
- var _attribute4 = this.attributes.lineDistance;
- if (_attribute4 !== undefined) {
- _attribute4.copyArray(geometry.lineDistances);
- _attribute4.needsUpdate = true;
- }
- geometry.lineDistancesNeedUpdate = false;
- }
- if (geometry.groupsNeedUpdate) {
- geometry.computeGroups(object.geometry);
- this.groups = geometry.groups;
- geometry.groupsNeedUpdate = false;
- }
- return this;
- },
- fromGeometry: function fromGeometry(geometry) {
- geometry.__directGeometry = new DirectGeometry().fromGeometry(geometry);
- return this.fromDirectGeometry(geometry.__directGeometry);
- },
- fromDirectGeometry: function fromDirectGeometry(geometry) {
- var positions = new Float32Array(geometry.vertices.length * 3);
- this.setAttribute('position', new BufferAttribute(positions, 3).copyVector3sArray(geometry.vertices));
- if (geometry.normals.length > 0) {
- var normals = new Float32Array(geometry.normals.length * 3);
- this.setAttribute('normal', new BufferAttribute(normals, 3).copyVector3sArray(geometry.normals));
- }
- if (geometry.colors.length > 0) {
- var colors = new Float32Array(geometry.colors.length * 3);
- this.setAttribute('color', new BufferAttribute(colors, 3).copyColorsArray(geometry.colors));
- }
- if (geometry.uvs.length > 0) {
- var uvs = new Float32Array(geometry.uvs.length * 2);
- this.setAttribute('uv', new BufferAttribute(uvs, 2).copyVector2sArray(geometry.uvs));
- }
- if (geometry.uvs2.length > 0) {
- var uvs2 = new Float32Array(geometry.uvs2.length * 2);
- this.setAttribute('uv2', new BufferAttribute(uvs2, 2).copyVector2sArray(geometry.uvs2));
- } // groups
-
- this.groups = geometry.groups; // morphs
- for (var name in geometry.morphTargets) {
- var array = [];
- var morphTargets = geometry.morphTargets[name];
- for (var i = 0, l = morphTargets.length; i < l; i++) {
- var morphTarget = morphTargets[i];
- var attribute = new Float32BufferAttribute(morphTarget.data.length * 3, 3);
- attribute.name = morphTarget.name;
- array.push(attribute.copyVector3sArray(morphTarget.data));
- }
- this.morphAttributes[name] = array;
- } // skinning
-
- if (geometry.skinIndices.length > 0) {
- var skinIndices = new Float32BufferAttribute(geometry.skinIndices.length * 4, 4);
- this.setAttribute('skinIndex', skinIndices.copyVector4sArray(geometry.skinIndices));
- }
- if (geometry.skinWeights.length > 0) {
- var skinWeights = new Float32BufferAttribute(geometry.skinWeights.length * 4, 4);
- this.setAttribute('skinWeight', skinWeights.copyVector4sArray(geometry.skinWeights));
- } //
-
- if (geometry.boundingSphere !== null) {
- this.boundingSphere = geometry.boundingSphere.clone();
- }
- if (geometry.boundingBox !== null) {
- this.boundingBox = geometry.boundingBox.clone();
- }
- return this;
- },
- computeBoundingBox: function computeBoundingBox() {
- if (this.boundingBox === null) {
- this.boundingBox = new Box3();
- }
- var position = this.attributes.position;
- var morphAttributesPosition = this.morphAttributes.position;
- if (position && position.isGLBufferAttribute) {
- console.error('THREE.BufferGeometry.computeBoundingBox(): GLBufferAttribute requires a manual bounding box. Alternatively set "mesh.frustumCulled" to "false".', this);
- this.boundingBox.set(new Vector3(-Infinity, -Infinity, -Infinity), new Vector3(+Infinity, +Infinity, +Infinity));
- return;
- }
- if (position !== undefined) {
- this.boundingBox.setFromBufferAttribute(position); // process morph attributes if present
- if (morphAttributesPosition) {
- for (var i = 0, il = morphAttributesPosition.length; i < il; i++) {
- var morphAttribute = morphAttributesPosition[i];
- _box$2.setFromBufferAttribute(morphAttribute);
- if (this.morphTargetsRelative) {
- _vector$4.addVectors(this.boundingBox.min, _box$2.min);
- this.boundingBox.expandByPoint(_vector$4);
- _vector$4.addVectors(this.boundingBox.max, _box$2.max);
- this.boundingBox.expandByPoint(_vector$4);
- } else {
- this.boundingBox.expandByPoint(_box$2.min);
- this.boundingBox.expandByPoint(_box$2.max);
- }
- }
- }
- } else {
- this.boundingBox.makeEmpty();
- }
- if (isNaN(this.boundingBox.min.x) || isNaN(this.boundingBox.min.y) || isNaN(this.boundingBox.min.z)) {
- console.error('THREE.BufferGeometry.computeBoundingBox(): Computed min/max have NaN values. The "position" attribute is likely to have NaN values.', this);
- }
- },
- computeBoundingSphere: function computeBoundingSphere() {
- if (this.boundingSphere === null) {
- this.boundingSphere = new Sphere();
- }
- var position = this.attributes.position;
- var morphAttributesPosition = this.morphAttributes.position;
- if (position && position.isGLBufferAttribute) {
- console.error('THREE.BufferGeometry.computeBoundingSphere(): GLBufferAttribute requires a manual bounding sphere. Alternatively set "mesh.frustumCulled" to "false".', this);
- this.boundingSphere.set(new Vector3(), Infinity);
- return;
- }
- if (position) {
- // first, find the center of the bounding sphere
- var center = this.boundingSphere.center;
- _box$2.setFromBufferAttribute(position); // process morph attributes if present
-
- if (morphAttributesPosition) {
- for (var i = 0, il = morphAttributesPosition.length; i < il; i++) {
- var morphAttribute = morphAttributesPosition[i];
- _boxMorphTargets.setFromBufferAttribute(morphAttribute);
- if (this.morphTargetsRelative) {
- _vector$4.addVectors(_box$2.min, _boxMorphTargets.min);
- _box$2.expandByPoint(_vector$4);
- _vector$4.addVectors(_box$2.max, _boxMorphTargets.max);
- _box$2.expandByPoint(_vector$4);
- } else {
- _box$2.expandByPoint(_boxMorphTargets.min);
- _box$2.expandByPoint(_boxMorphTargets.max);
- }
- }
- }
- _box$2.getCenter(center); // second, try to find a boundingSphere with a radius smaller than the
- // boundingSphere of the boundingBox: sqrt(3) smaller in the best case
-
- var maxRadiusSq = 0;
- for (var _i = 0, _il = position.count; _i < _il; _i++) {
- _vector$4.fromBufferAttribute(position, _i);
- maxRadiusSq = Math.max(maxRadiusSq, center.distanceToSquared(_vector$4));
- } // process morph attributes if present
-
- if (morphAttributesPosition) {
- for (var _i2 = 0, _il2 = morphAttributesPosition.length; _i2 < _il2; _i2++) {
- var _morphAttribute = morphAttributesPosition[_i2];
- var morphTargetsRelative = this.morphTargetsRelative;
- for (var j = 0, jl = _morphAttribute.count; j < jl; j++) {
- _vector$4.fromBufferAttribute(_morphAttribute, j);
- if (morphTargetsRelative) {
- _offset.fromBufferAttribute(position, j);
- _vector$4.add(_offset);
- }
- maxRadiusSq = Math.max(maxRadiusSq, center.distanceToSquared(_vector$4));
- }
- }
- }
- this.boundingSphere.radius = Math.sqrt(maxRadiusSq);
- if (isNaN(this.boundingSphere.radius)) {
- console.error('THREE.BufferGeometry.computeBoundingSphere(): Computed radius is NaN. The "position" attribute is likely to have NaN values.', this);
- }
- }
- },
- computeFaceNormals: function computeFaceNormals() {// backwards compatibility
- },
- computeVertexNormals: function computeVertexNormals() {
- var index = this.index;
- var positionAttribute = this.getAttribute('position');
- if (positionAttribute !== undefined) {
- var normalAttribute = this.getAttribute('normal');
- if (normalAttribute === undefined) {
- normalAttribute = new BufferAttribute(new Float32Array(positionAttribute.count * 3), 3);
- this.setAttribute('normal', normalAttribute);
- } else {
- // reset existing normals to zero
- for (var i = 0, il = normalAttribute.count; i < il; i++) {
- normalAttribute.setXYZ(i, 0, 0, 0);
- }
- }
- var pA = new Vector3(),
- pB = new Vector3(),
- pC = new Vector3();
- var nA = new Vector3(),
- nB = new Vector3(),
- nC = new Vector3();
- var cb = new Vector3(),
- ab = new Vector3(); // indexed elements
- if (index) {
- for (var _i3 = 0, _il3 = index.count; _i3 < _il3; _i3 += 3) {
- var vA = index.getX(_i3 + 0);
- var vB = index.getX(_i3 + 1);
- var vC = index.getX(_i3 + 2);
- pA.fromBufferAttribute(positionAttribute, vA);
- pB.fromBufferAttribute(positionAttribute, vB);
- pC.fromBufferAttribute(positionAttribute, vC);
- cb.subVectors(pC, pB);
- ab.subVectors(pA, pB);
- cb.cross(ab);
- nA.fromBufferAttribute(normalAttribute, vA);
- nB.fromBufferAttribute(normalAttribute, vB);
- nC.fromBufferAttribute(normalAttribute, vC);
- nA.add(cb);
- nB.add(cb);
- nC.add(cb);
- normalAttribute.setXYZ(vA, nA.x, nA.y, nA.z);
- normalAttribute.setXYZ(vB, nB.x, nB.y, nB.z);
- normalAttribute.setXYZ(vC, nC.x, nC.y, nC.z);
- }
- } else {
- // non-indexed elements (unconnected triangle soup)
- for (var _i4 = 0, _il4 = positionAttribute.count; _i4 < _il4; _i4 += 3) {
- pA.fromBufferAttribute(positionAttribute, _i4 + 0);
- pB.fromBufferAttribute(positionAttribute, _i4 + 1);
- pC.fromBufferAttribute(positionAttribute, _i4 + 2);
- cb.subVectors(pC, pB);
- ab.subVectors(pA, pB);
- cb.cross(ab);
- normalAttribute.setXYZ(_i4 + 0, cb.x, cb.y, cb.z);
- normalAttribute.setXYZ(_i4 + 1, cb.x, cb.y, cb.z);
- normalAttribute.setXYZ(_i4 + 2, cb.x, cb.y, cb.z);
- }
- }
- this.normalizeNormals();
- normalAttribute.needsUpdate = true;
- }
- },
- merge: function merge(geometry, offset) {
- if (!(geometry && geometry.isBufferGeometry)) {
- console.error('THREE.BufferGeometry.merge(): geometry not an instance of THREE.BufferGeometry.', geometry);
- return;
- }
- if (offset === undefined) {
- offset = 0;
- console.warn('THREE.BufferGeometry.merge(): Overwriting original geometry, starting at offset=0. ' + 'Use BufferGeometryUtils.mergeBufferGeometries() for lossless merge.');
- }
- var attributes = this.attributes;
- for (var key in attributes) {
- if (geometry.attributes[key] === undefined) continue;
- var attribute1 = attributes[key];
- var attributeArray1 = attribute1.array;
- var attribute2 = geometry.attributes[key];
- var attributeArray2 = attribute2.array;
- var attributeOffset = attribute2.itemSize * offset;
- var length = Math.min(attributeArray2.length, attributeArray1.length - attributeOffset);
- for (var i = 0, j = attributeOffset; i < length; i++, j++) {
- attributeArray1[j] = attributeArray2[i];
- }
- }
- return this;
- },
- normalizeNormals: function normalizeNormals() {
- var normals = this.attributes.normal;
- for (var i = 0, il = normals.count; i < il; i++) {
- _vector$4.fromBufferAttribute(normals, i);
- _vector$4.normalize();
- normals.setXYZ(i, _vector$4.x, _vector$4.y, _vector$4.z);
- }
- },
- toNonIndexed: function toNonIndexed() {
- function convertBufferAttribute(attribute, indices) {
- var array = attribute.array;
- var itemSize = attribute.itemSize;
- var normalized = attribute.normalized;
- var array2 = new array.constructor(indices.length * itemSize);
- var index = 0,
- index2 = 0;
- for (var i = 0, l = indices.length; i < l; i++) {
- index = indices[i] * itemSize;
- for (var j = 0; j < itemSize; j++) {
- array2[index2++] = array[index++];
- }
- }
- return new BufferAttribute(array2, itemSize, normalized);
- } //
-
- if (this.index === null) {
- console.warn('THREE.BufferGeometry.toNonIndexed(): Geometry is already non-indexed.');
- return this;
- }
- var geometry2 = new BufferGeometry();
- var indices = this.index.array;
- var attributes = this.attributes; // attributes
- for (var name in attributes) {
- var attribute = attributes[name];
- var newAttribute = convertBufferAttribute(attribute, indices);
- geometry2.setAttribute(name, newAttribute);
- } // morph attributes
-
- var morphAttributes = this.morphAttributes;
- for (var _name in morphAttributes) {
- var morphArray = [];
- var morphAttribute = morphAttributes[_name]; // morphAttribute: array of Float32BufferAttributes
- for (var i = 0, il = morphAttribute.length; i < il; i++) {
- var _attribute5 = morphAttribute[i];
- var _newAttribute = convertBufferAttribute(_attribute5, indices);
- morphArray.push(_newAttribute);
- }
- geometry2.morphAttributes[_name] = morphArray;
- }
- geometry2.morphTargetsRelative = this.morphTargetsRelative; // groups
- var groups = this.groups;
- for (var _i5 = 0, l = groups.length; _i5 < l; _i5++) {
- var group = groups[_i5];
- geometry2.addGroup(group.start, group.count, group.materialIndex);
- }
- return geometry2;
- },
- toJSON: function toJSON() {
- var data = {
- metadata: {
- version: 4.5,
- type: 'BufferGeometry',
- generator: 'BufferGeometry.toJSON'
- }
- }; // standard BufferGeometry serialization
- data.uuid = this.uuid;
- data.type = this.type;
- if (this.name !== '') data.name = this.name;
- if (Object.keys(this.userData).length > 0) data.userData = this.userData;
- if (this.parameters !== undefined) {
- var parameters = this.parameters;
- for (var key in parameters) {
- if (parameters[key] !== undefined) data[key] = parameters[key];
- }
- return data;
- }
- data.data = {
- attributes: {}
- };
- var index = this.index;
- if (index !== null) {
- data.data.index = {
- type: index.array.constructor.name,
- array: Array.prototype.slice.call(index.array)
- };
- }
- var attributes = this.attributes;
- for (var _key in attributes) {
- var attribute = attributes[_key];
- var attributeData = attribute.toJSON(data.data);
- if (attribute.name !== '') attributeData.name = attribute.name;
- data.data.attributes[_key] = attributeData;
- }
- var morphAttributes = {};
- var hasMorphAttributes = false;
- for (var _key2 in this.morphAttributes) {
- var attributeArray = this.morphAttributes[_key2];
- var array = [];
- for (var i = 0, il = attributeArray.length; i < il; i++) {
- var _attribute6 = attributeArray[i];
- var _attributeData = _attribute6.toJSON(data.data);
- if (_attribute6.name !== '') _attributeData.name = _attribute6.name;
- array.push(_attributeData);
- }
- if (array.length > 0) {
- morphAttributes[_key2] = array;
- hasMorphAttributes = true;
- }
- }
- if (hasMorphAttributes) {
- data.data.morphAttributes = morphAttributes;
- data.data.morphTargetsRelative = this.morphTargetsRelative;
- }
- var groups = this.groups;
- if (groups.length > 0) {
- data.data.groups = JSON.parse(JSON.stringify(groups));
- }
- var boundingSphere = this.boundingSphere;
- if (boundingSphere !== null) {
- data.data.boundingSphere = {
- center: boundingSphere.center.toArray(),
- radius: boundingSphere.radius
- };
- }
- return data;
- },
- clone: function clone() {
- /*
- // Handle primitives
- const parameters = this.parameters;
- if ( parameters !== undefined ) {
- const values = [];
- for ( const key in parameters ) {
- values.push( parameters[ key ] );
- }
- const geometry = Object.create( this.constructor.prototype );
- this.constructor.apply( geometry, values );
- return geometry;
- }
- return new this.constructor().copy( this );
- */
- return new BufferGeometry().copy(this);
- },
- copy: function copy(source) {
- // reset
- this.index = null;
- this.attributes = {};
- this.morphAttributes = {};
- this.groups = [];
- this.boundingBox = null;
- this.boundingSphere = null; // used for storing cloned, shared data
- var data = {}; // name
- this.name = source.name; // index
- var index = source.index;
- if (index !== null) {
- this.setIndex(index.clone(data));
- } // attributes
-
- var attributes = source.attributes;
- for (var name in attributes) {
- var attribute = attributes[name];
- this.setAttribute(name, attribute.clone(data));
- } // morph attributes
-
- var morphAttributes = source.morphAttributes;
- for (var _name2 in morphAttributes) {
- var array = [];
- var morphAttribute = morphAttributes[_name2]; // morphAttribute: array of Float32BufferAttributes
- for (var i = 0, l = morphAttribute.length; i < l; i++) {
- array.push(morphAttribute[i].clone(data));
- }
- this.morphAttributes[_name2] = array;
- }
- this.morphTargetsRelative = source.morphTargetsRelative; // groups
- var groups = source.groups;
- for (var _i6 = 0, _l = groups.length; _i6 < _l; _i6++) {
- var group = groups[_i6];
- this.addGroup(group.start, group.count, group.materialIndex);
- } // bounding box
-
- var boundingBox = source.boundingBox;
- if (boundingBox !== null) {
- this.boundingBox = boundingBox.clone();
- } // bounding sphere
-
- var boundingSphere = source.boundingSphere;
- if (boundingSphere !== null) {
- this.boundingSphere = boundingSphere.clone();
- } // draw range
-
- this.drawRange.start = source.drawRange.start;
- this.drawRange.count = source.drawRange.count; // user data
- this.userData = source.userData;
- return this;
- },
- dispose: function dispose() {
- this.dispatchEvent({
- type: 'dispose'
- });
- }
- });
- var _inverseMatrix = new Matrix4();
- var _ray = new Ray();
- var _sphere = new Sphere();
- var _vA = new Vector3();
- var _vB = new Vector3();
- var _vC = new Vector3();
- var _tempA = new Vector3();
- var _tempB = new Vector3();
- var _tempC = new Vector3();
- var _morphA = new Vector3();
- var _morphB = new Vector3();
- var _morphC = new Vector3();
- var _uvA = new Vector2();
- var _uvB = new Vector2();
- var _uvC = new Vector2();
- var _intersectionPoint = new Vector3();
- var _intersectionPointWorld = new Vector3();
- function Mesh(geometry, material) {
- Object3D.call(this);
- this.type = 'Mesh';
- this.geometry = geometry !== undefined ? geometry : new BufferGeometry();
- this.material = material !== undefined ? material : new MeshBasicMaterial();
- this.updateMorphTargets();
- }
- Mesh.prototype = Object.assign(Object.create(Object3D.prototype), {
- constructor: Mesh,
- isMesh: true,
- copy: function copy(source) {
- Object3D.prototype.copy.call(this, source);
- if (source.morphTargetInfluences !== undefined) {
- this.morphTargetInfluences = source.morphTargetInfluences.slice();
- }
- if (source.morphTargetDictionary !== undefined) {
- this.morphTargetDictionary = Object.assign({}, source.morphTargetDictionary);
- }
- this.material = source.material;
- this.geometry = source.geometry;
- return this;
- },
- updateMorphTargets: function updateMorphTargets() {
- var geometry = this.geometry;
- if (geometry.isBufferGeometry) {
- var morphAttributes = geometry.morphAttributes;
- var keys = Object.keys(morphAttributes);
- if (keys.length > 0) {
- var morphAttribute = morphAttributes[keys[0]];
- if (morphAttribute !== undefined) {
- this.morphTargetInfluences = [];
- this.morphTargetDictionary = {};
- for (var m = 0, ml = morphAttribute.length; m < ml; m++) {
- var name = morphAttribute[m].name || String(m);
- this.morphTargetInfluences.push(0);
- this.morphTargetDictionary[name] = m;
- }
- }
- }
- } else {
- var morphTargets = geometry.morphTargets;
- if (morphTargets !== undefined && morphTargets.length > 0) {
- console.error('THREE.Mesh.updateMorphTargets() no longer supports THREE.Geometry. Use THREE.BufferGeometry instead.');
- }
- }
- },
- raycast: function raycast(raycaster, intersects) {
- var geometry = this.geometry;
- var material = this.material;
- var matrixWorld = this.matrixWorld;
- if (material === undefined) return; // Checking boundingSphere distance to ray
- if (geometry.boundingSphere === null) geometry.computeBoundingSphere();
- _sphere.copy(geometry.boundingSphere);
- _sphere.applyMatrix4(matrixWorld);
- if (raycaster.ray.intersectsSphere(_sphere) === false) return; //
- _inverseMatrix.copy(matrixWorld).invert();
- _ray.copy(raycaster.ray).applyMatrix4(_inverseMatrix); // Check boundingBox before continuing
-
- if (geometry.boundingBox !== null) {
- if (_ray.intersectsBox(geometry.boundingBox) === false) return;
- }
- var intersection;
- if (geometry.isBufferGeometry) {
- var index = geometry.index;
- var position = geometry.attributes.position;
- var morphPosition = geometry.morphAttributes.position;
- var morphTargetsRelative = geometry.morphTargetsRelative;
- var uv = geometry.attributes.uv;
- var uv2 = geometry.attributes.uv2;
- var groups = geometry.groups;
- var drawRange = geometry.drawRange;
- if (index !== null) {
- // indexed buffer geometry
- if (Array.isArray(material)) {
- for (var i = 0, il = groups.length; i < il; i++) {
- var group = groups[i];
- var groupMaterial = material[group.materialIndex];
- var start = Math.max(group.start, drawRange.start);
- var end = Math.min(group.start + group.count, drawRange.start + drawRange.count);
- for (var j = start, jl = end; j < jl; j += 3) {
- var a = index.getX(j);
- var b = index.getX(j + 1);
- var c = index.getX(j + 2);
- intersection = checkBufferGeometryIntersection(this, groupMaterial, raycaster, _ray, position, morphPosition, morphTargetsRelative, uv, uv2, a, b, c);
- if (intersection) {
- intersection.faceIndex = Math.floor(j / 3); // triangle number in indexed buffer semantics
- intersection.face.materialIndex = group.materialIndex;
- intersects.push(intersection);
- }
- }
- }
- } else {
- var _start = Math.max(0, drawRange.start);
- var _end = Math.min(index.count, drawRange.start + drawRange.count);
- for (var _i = _start, _il = _end; _i < _il; _i += 3) {
- var _a = index.getX(_i);
- var _b = index.getX(_i + 1);
- var _c = index.getX(_i + 2);
- intersection = checkBufferGeometryIntersection(this, material, raycaster, _ray, position, morphPosition, morphTargetsRelative, uv, uv2, _a, _b, _c);
- if (intersection) {
- intersection.faceIndex = Math.floor(_i / 3); // triangle number in indexed buffer semantics
- intersects.push(intersection);
- }
- }
- }
- } else if (position !== undefined) {
- // non-indexed buffer geometry
- if (Array.isArray(material)) {
- for (var _i2 = 0, _il2 = groups.length; _i2 < _il2; _i2++) {
- var _group = groups[_i2];
- var _groupMaterial = material[_group.materialIndex];
- var _start2 = Math.max(_group.start, drawRange.start);
- var _end2 = Math.min(_group.start + _group.count, drawRange.start + drawRange.count);
- for (var _j = _start2, _jl = _end2; _j < _jl; _j += 3) {
- var _a2 = _j;
- var _b2 = _j + 1;
- var _c2 = _j + 2;
- intersection = checkBufferGeometryIntersection(this, _groupMaterial, raycaster, _ray, position, morphPosition, morphTargetsRelative, uv, uv2, _a2, _b2, _c2);
- if (intersection) {
- intersection.faceIndex = Math.floor(_j / 3); // triangle number in non-indexed buffer semantics
- intersection.face.materialIndex = _group.materialIndex;
- intersects.push(intersection);
- }
- }
- }
- } else {
- var _start3 = Math.max(0, drawRange.start);
- var _end3 = Math.min(position.count, drawRange.start + drawRange.count);
- for (var _i3 = _start3, _il3 = _end3; _i3 < _il3; _i3 += 3) {
- var _a3 = _i3;
- var _b3 = _i3 + 1;
- var _c3 = _i3 + 2;
- intersection = checkBufferGeometryIntersection(this, material, raycaster, _ray, position, morphPosition, morphTargetsRelative, uv, uv2, _a3, _b3, _c3);
- if (intersection) {
- intersection.faceIndex = Math.floor(_i3 / 3); // triangle number in non-indexed buffer semantics
- intersects.push(intersection);
- }
- }
- }
- }
- } else if (geometry.isGeometry) {
- var isMultiMaterial = Array.isArray(material);
- var vertices = geometry.vertices;
- var faces = geometry.faces;
- var uvs;
- var faceVertexUvs = geometry.faceVertexUvs[0];
- if (faceVertexUvs.length > 0) uvs = faceVertexUvs;
- for (var f = 0, fl = faces.length; f < fl; f++) {
- var face = faces[f];
- var faceMaterial = isMultiMaterial ? material[face.materialIndex] : material;
- if (faceMaterial === undefined) continue;
- var fvA = vertices[face.a];
- var fvB = vertices[face.b];
- var fvC = vertices[face.c];
- intersection = checkIntersection(this, faceMaterial, raycaster, _ray, fvA, fvB, fvC, _intersectionPoint);
- if (intersection) {
- if (uvs && uvs[f]) {
- var uvs_f = uvs[f];
- _uvA.copy(uvs_f[0]);
- _uvB.copy(uvs_f[1]);
- _uvC.copy(uvs_f[2]);
- intersection.uv = Triangle.getUV(_intersectionPoint, fvA, fvB, fvC, _uvA, _uvB, _uvC, new Vector2());
- }
- intersection.face = face;
- intersection.faceIndex = f;
- intersects.push(intersection);
- }
- }
- }
- }
- });
- function checkIntersection(object, material, raycaster, ray, pA, pB, pC, point) {
- var intersect;
- if (material.side === BackSide) {
- intersect = ray.intersectTriangle(pC, pB, pA, true, point);
- } else {
- intersect = ray.intersectTriangle(pA, pB, pC, material.side !== DoubleSide, point);
- }
- if (intersect === null) return null;
- _intersectionPointWorld.copy(point);
- _intersectionPointWorld.applyMatrix4(object.matrixWorld);
- var distance = raycaster.ray.origin.distanceTo(_intersectionPointWorld);
- if (distance < raycaster.near || distance > raycaster.far) return null;
- return {
- distance: distance,
- point: _intersectionPointWorld.clone(),
- object: object
- };
- }
- function checkBufferGeometryIntersection(object, material, raycaster, ray, position, morphPosition, morphTargetsRelative, uv, uv2, a, b, c) {
- _vA.fromBufferAttribute(position, a);
- _vB.fromBufferAttribute(position, b);
- _vC.fromBufferAttribute(position, c);
- var morphInfluences = object.morphTargetInfluences;
- if (material.morphTargets && morphPosition && morphInfluences) {
- _morphA.set(0, 0, 0);
- _morphB.set(0, 0, 0);
- _morphC.set(0, 0, 0);
- for (var i = 0, il = morphPosition.length; i < il; i++) {
- var influence = morphInfluences[i];
- var morphAttribute = morphPosition[i];
- if (influence === 0) continue;
- _tempA.fromBufferAttribute(morphAttribute, a);
- _tempB.fromBufferAttribute(morphAttribute, b);
- _tempC.fromBufferAttribute(morphAttribute, c);
- if (morphTargetsRelative) {
- _morphA.addScaledVector(_tempA, influence);
- _morphB.addScaledVector(_tempB, influence);
- _morphC.addScaledVector(_tempC, influence);
- } else {
- _morphA.addScaledVector(_tempA.sub(_vA), influence);
- _morphB.addScaledVector(_tempB.sub(_vB), influence);
- _morphC.addScaledVector(_tempC.sub(_vC), influence);
- }
- }
- _vA.add(_morphA);
- _vB.add(_morphB);
- _vC.add(_morphC);
- }
- if (object.isSkinnedMesh) {
- object.boneTransform(a, _vA);
- object.boneTransform(b, _vB);
- object.boneTransform(c, _vC);
- }
- var intersection = checkIntersection(object, material, raycaster, ray, _vA, _vB, _vC, _intersectionPoint);
- if (intersection) {
- if (uv) {
- _uvA.fromBufferAttribute(uv, a);
- _uvB.fromBufferAttribute(uv, b);
- _uvC.fromBufferAttribute(uv, c);
- intersection.uv = Triangle.getUV(_intersectionPoint, _vA, _vB, _vC, _uvA, _uvB, _uvC, new Vector2());
- }
- if (uv2) {
- _uvA.fromBufferAttribute(uv2, a);
- _uvB.fromBufferAttribute(uv2, b);
- _uvC.fromBufferAttribute(uv2, c);
- intersection.uv2 = Triangle.getUV(_intersectionPoint, _vA, _vB, _vC, _uvA, _uvB, _uvC, new Vector2());
- }
- var face = new Face3(a, b, c);
- Triangle.getNormal(_vA, _vB, _vC, face.normal);
- intersection.face = face;
- }
- return intersection;
- }
- var BoxBufferGeometry = /*#__PURE__*/function (_BufferGeometry) {
- _inheritsLoose(BoxBufferGeometry, _BufferGeometry);
- function BoxBufferGeometry(width, height, depth, widthSegments, heightSegments, depthSegments) {
- var _this;
- if (width === void 0) {
- width = 1;
- }
- if (height === void 0) {
- height = 1;
- }
- if (depth === void 0) {
- depth = 1;
- }
- if (widthSegments === void 0) {
- widthSegments = 1;
- }
- if (heightSegments === void 0) {
- heightSegments = 1;
- }
- if (depthSegments === void 0) {
- depthSegments = 1;
- }
- _this = _BufferGeometry.call(this) || this;
- _this.type = 'BoxBufferGeometry';
- _this.parameters = {
- width: width,
- height: height,
- depth: depth,
- widthSegments: widthSegments,
- heightSegments: heightSegments,
- depthSegments: depthSegments
- };
- var scope = _assertThisInitialized(_this); // segments
-
- widthSegments = Math.floor(widthSegments);
- heightSegments = Math.floor(heightSegments);
- depthSegments = Math.floor(depthSegments); // buffers
- var indices = [];
- var vertices = [];
- var normals = [];
- var uvs = []; // helper variables
- var numberOfVertices = 0;
- var groupStart = 0; // build each side of the box geometry
- buildPlane('z', 'y', 'x', -1, -1, depth, height, width, depthSegments, heightSegments, 0); // px
- buildPlane('z', 'y', 'x', 1, -1, depth, height, -width, depthSegments, heightSegments, 1); // nx
- buildPlane('x', 'z', 'y', 1, 1, width, depth, height, widthSegments, depthSegments, 2); // py
- buildPlane('x', 'z', 'y', 1, -1, width, depth, -height, widthSegments, depthSegments, 3); // ny
- buildPlane('x', 'y', 'z', 1, -1, width, height, depth, widthSegments, heightSegments, 4); // pz
- buildPlane('x', 'y', 'z', -1, -1, width, height, -depth, widthSegments, heightSegments, 5); // nz
- // build geometry
- _this.setIndex(indices);
- _this.setAttribute('position', new Float32BufferAttribute(vertices, 3));
- _this.setAttribute('normal', new Float32BufferAttribute(normals, 3));
- _this.setAttribute('uv', new Float32BufferAttribute(uvs, 2));
- function buildPlane(u, v, w, udir, vdir, width, height, depth, gridX, gridY, materialIndex) {
- var segmentWidth = width / gridX;
- var segmentHeight = height / gridY;
- var widthHalf = width / 2;
- var heightHalf = height / 2;
- var depthHalf = depth / 2;
- var gridX1 = gridX + 1;
- var gridY1 = gridY + 1;
- var vertexCounter = 0;
- var groupCount = 0;
- var vector = new Vector3(); // generate vertices, normals and uvs
- for (var iy = 0; iy < gridY1; iy++) {
- var y = iy * segmentHeight - heightHalf;
- for (var ix = 0; ix < gridX1; ix++) {
- var x = ix * segmentWidth - widthHalf; // set values to correct vector component
- vector[u] = x * udir;
- vector[v] = y * vdir;
- vector[w] = depthHalf; // now apply vector to vertex buffer
- vertices.push(vector.x, vector.y, vector.z); // set values to correct vector component
- vector[u] = 0;
- vector[v] = 0;
- vector[w] = depth > 0 ? 1 : -1; // now apply vector to normal buffer
- normals.push(vector.x, vector.y, vector.z); // uvs
- uvs.push(ix / gridX);
- uvs.push(1 - iy / gridY); // counters
- vertexCounter += 1;
- }
- } // indices
- // 1. you need three indices to draw a single face
- // 2. a single segment consists of two faces
- // 3. so we need to generate six (2*3) indices per segment
-
- for (var _iy = 0; _iy < gridY; _iy++) {
- for (var _ix = 0; _ix < gridX; _ix++) {
- var a = numberOfVertices + _ix + gridX1 * _iy;
- var b = numberOfVertices + _ix + gridX1 * (_iy + 1);
- var c = numberOfVertices + (_ix + 1) + gridX1 * (_iy + 1);
- var d = numberOfVertices + (_ix + 1) + gridX1 * _iy; // faces
- indices.push(a, b, d);
- indices.push(b, c, d); // increase counter
- groupCount += 6;
- }
- } // add a group to the geometry. this will ensure multi material support
-
- scope.addGroup(groupStart, groupCount, materialIndex); // calculate new start value for groups
- groupStart += groupCount; // update total number of vertices
- numberOfVertices += vertexCounter;
- }
- return _this;
- }
- return BoxBufferGeometry;
- }(BufferGeometry);
- /**
- * Uniform Utilities
- */
- function cloneUniforms(src) {
- var dst = {};
- for (var u in src) {
- dst[u] = {};
- for (var p in src[u]) {
- var property = src[u][p];
- if (property && (property.isColor || property.isMatrix3 || property.isMatrix4 || property.isVector2 || property.isVector3 || property.isVector4 || property.isTexture)) {
- dst[u][p] = property.clone();
- } else if (Array.isArray(property)) {
- dst[u][p] = property.slice();
- } else {
- dst[u][p] = property;
- }
- }
- }
- return dst;
- }
- function mergeUniforms(uniforms) {
- var merged = {};
- for (var u = 0; u < uniforms.length; u++) {
- var tmp = cloneUniforms(uniforms[u]);
- for (var p in tmp) {
- merged[p] = tmp[p];
- }
- }
- return merged;
- } // Legacy
- var UniformsUtils = {
- clone: cloneUniforms,
- merge: mergeUniforms
- };
- var default_vertex = "void main() {\n\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n}";
- var default_fragment = "void main() {\n\tgl_FragColor = vec4( 1.0, 0.0, 0.0, 1.0 );\n}";
- /**
- * parameters = {
- * defines: { "label" : "value" },
- * uniforms: { "parameter1": { value: 1.0 }, "parameter2": { value2: 2 } },
- *
- * fragmentShader: ,
- * vertexShader: ,
- *
- * wireframe: ,
- * wireframeLinewidth: ,
- *
- * lights: ,
- *
- * skinning: ,
- * morphTargets: ,
- * morphNormals:
- * }
- */
- function ShaderMaterial(parameters) {
- Material.call(this);
- this.type = 'ShaderMaterial';
- this.defines = {};
- this.uniforms = {};
- this.vertexShader = default_vertex;
- this.fragmentShader = default_fragment;
- this.linewidth = 1;
- this.wireframe = false;
- this.wireframeLinewidth = 1;
- this.fog = false; // set to use scene fog
- this.lights = false; // set to use scene lights
- this.clipping = false; // set to use user-defined clipping planes
- this.skinning = false; // set to use skinning attribute streams
- this.morphTargets = false; // set to use morph targets
- this.morphNormals = false; // set to use morph normals
- this.extensions = {
- derivatives: false,
- // set to use derivatives
- fragDepth: false,
- // set to use fragment depth values
- drawBuffers: false,
- // set to use draw buffers
- shaderTextureLOD: false // set to use shader texture LOD
- }; // When rendered geometry doesn't include these attributes but the material does,
- // use these default values in WebGL. This avoids errors when buffer data is missing.
- this.defaultAttributeValues = {
- 'color': [1, 1, 1],
- 'uv': [0, 0],
- 'uv2': [0, 0]
- };
- this.index0AttributeName = undefined;
- this.uniformsNeedUpdate = false;
- this.glslVersion = null;
- if (parameters !== undefined) {
- if (parameters.attributes !== undefined) {
- console.error('THREE.ShaderMaterial: attributes should now be defined in THREE.BufferGeometry instead.');
- }
- this.setValues(parameters);
- }
- }
- ShaderMaterial.prototype = Object.create(Material.prototype);
- ShaderMaterial.prototype.constructor = ShaderMaterial;
- ShaderMaterial.prototype.isShaderMaterial = true;
- ShaderMaterial.prototype.copy = function (source) {
- Material.prototype.copy.call(this, source);
- this.fragmentShader = source.fragmentShader;
- this.vertexShader = source.vertexShader;
- this.uniforms = cloneUniforms(source.uniforms);
- this.defines = Object.assign({}, source.defines);
- this.wireframe = source.wireframe;
- this.wireframeLinewidth = source.wireframeLinewidth;
- this.lights = source.lights;
- this.clipping = source.clipping;
- this.skinning = source.skinning;
- this.morphTargets = source.morphTargets;
- this.morphNormals = source.morphNormals;
- this.extensions = Object.assign({}, source.extensions);
- this.glslVersion = source.glslVersion;
- return this;
- };
- ShaderMaterial.prototype.toJSON = function (meta) {
- var data = Material.prototype.toJSON.call(this, meta);
- data.glslVersion = this.glslVersion;
- data.uniforms = {};
- for (var name in this.uniforms) {
- var uniform = this.uniforms[name];
- var value = uniform.value;
- if (value && value.isTexture) {
- data.uniforms[name] = {
- type: 't',
- value: value.toJSON(meta).uuid
- };
- } else if (value && value.isColor) {
- data.uniforms[name] = {
- type: 'c',
- value: value.getHex()
- };
- } else if (value && value.isVector2) {
- data.uniforms[name] = {
- type: 'v2',
- value: value.toArray()
- };
- } else if (value && value.isVector3) {
- data.uniforms[name] = {
- type: 'v3',
- value: value.toArray()
- };
- } else if (value && value.isVector4) {
- data.uniforms[name] = {
- type: 'v4',
- value: value.toArray()
- };
- } else if (value && value.isMatrix3) {
- data.uniforms[name] = {
- type: 'm3',
- value: value.toArray()
- };
- } else if (value && value.isMatrix4) {
- data.uniforms[name] = {
- type: 'm4',
- value: value.toArray()
- };
- } else {
- data.uniforms[name] = {
- value: value
- }; // note: the array variants v2v, v3v, v4v, m4v and tv are not supported so far
- }
- }
- if (Object.keys(this.defines).length > 0) data.defines = this.defines;
- data.vertexShader = this.vertexShader;
- data.fragmentShader = this.fragmentShader;
- var extensions = {};
- for (var key in this.extensions) {
- if (this.extensions[key] === true) extensions[key] = true;
- }
- if (Object.keys(extensions).length > 0) data.extensions = extensions;
- return data;
- };
- function Camera() {
- Object3D.call(this);
- this.type = 'Camera';
- this.matrixWorldInverse = new Matrix4();
- this.projectionMatrix = new Matrix4();
- this.projectionMatrixInverse = new Matrix4();
- }
- Camera.prototype = Object.assign(Object.create(Object3D.prototype), {
- constructor: Camera,
- isCamera: true,
- copy: function copy(source, recursive) {
- Object3D.prototype.copy.call(this, source, recursive);
- this.matrixWorldInverse.copy(source.matrixWorldInverse);
- this.projectionMatrix.copy(source.projectionMatrix);
- this.projectionMatrixInverse.copy(source.projectionMatrixInverse);
- return this;
- },
- getWorldDirection: function getWorldDirection(target) {
- if (target === undefined) {
- console.warn('THREE.Camera: .getWorldDirection() target is now required');
- target = new Vector3();
- }
- this.updateWorldMatrix(true, false);
- var e = this.matrixWorld.elements;
- return target.set(-e[8], -e[9], -e[10]).normalize();
- },
- updateMatrixWorld: function updateMatrixWorld(force) {
- Object3D.prototype.updateMatrixWorld.call(this, force);
- this.matrixWorldInverse.copy(this.matrixWorld).invert();
- },
- updateWorldMatrix: function updateWorldMatrix(updateParents, updateChildren) {
- Object3D.prototype.updateWorldMatrix.call(this, updateParents, updateChildren);
- this.matrixWorldInverse.copy(this.matrixWorld).invert();
- },
- clone: function clone() {
- return new this.constructor().copy(this);
- }
- });
- function PerspectiveCamera(fov, aspect, near, far) {
- if (fov === void 0) {
- fov = 50;
- }
- if (aspect === void 0) {
- aspect = 1;
- }
- if (near === void 0) {
- near = 0.1;
- }
- if (far === void 0) {
- far = 2000;
- }
- Camera.call(this);
- this.type = 'PerspectiveCamera';
- this.fov = fov;
- this.zoom = 1;
- this.near = near;
- this.far = far;
- this.focus = 10;
- this.aspect = aspect;
- this.view = null;
- this.filmGauge = 35; // width of the film (default in millimeters)
- this.filmOffset = 0; // horizontal film offset (same unit as gauge)
- this.updateProjectionMatrix();
- }
- PerspectiveCamera.prototype = Object.assign(Object.create(Camera.prototype), {
- constructor: PerspectiveCamera,
- isPerspectiveCamera: true,
- copy: function copy(source, recursive) {
- Camera.prototype.copy.call(this, source, recursive);
- this.fov = source.fov;
- this.zoom = source.zoom;
- this.near = source.near;
- this.far = source.far;
- this.focus = source.focus;
- this.aspect = source.aspect;
- this.view = source.view === null ? null : Object.assign({}, source.view);
- this.filmGauge = source.filmGauge;
- this.filmOffset = source.filmOffset;
- return this;
- },
- /**
- * Sets the FOV by focal length in respect to the current .filmGauge.
- *
- * The default film gauge is 35, so that the focal length can be specified for
- * a 35mm (full frame) camera.
- *
- * Values for focal length and film gauge must have the same unit.
- */
- setFocalLength: function setFocalLength(focalLength) {
- // see http://www.bobatkins.com/photography/technical/field_of_view.html
- var vExtentSlope = 0.5 * this.getFilmHeight() / focalLength;
- this.fov = MathUtils.RAD2DEG * 2 * Math.atan(vExtentSlope);
- this.updateProjectionMatrix();
- },
- /**
- * Calculates the focal length from the current .fov and .filmGauge.
- */
- getFocalLength: function getFocalLength() {
- var vExtentSlope = Math.tan(MathUtils.DEG2RAD * 0.5 * this.fov);
- return 0.5 * this.getFilmHeight() / vExtentSlope;
- },
- getEffectiveFOV: function getEffectiveFOV() {
- return MathUtils.RAD2DEG * 2 * Math.atan(Math.tan(MathUtils.DEG2RAD * 0.5 * this.fov) / this.zoom);
- },
- getFilmWidth: function getFilmWidth() {
- // film not completely covered in portrait format (aspect < 1)
- return this.filmGauge * Math.min(this.aspect, 1);
- },
- getFilmHeight: function getFilmHeight() {
- // film not completely covered in landscape format (aspect > 1)
- return this.filmGauge / Math.max(this.aspect, 1);
- },
- /**
- * Sets an offset in a larger frustum. This is useful for multi-window or
- * multi-monitor/multi-machine setups.
- *
- * For example, if you have 3x2 monitors and each monitor is 1920x1080 and
- * the monitors are in grid like this
- *
- * +---+---+---+
- * | A | B | C |
- * +---+---+---+
- * | D | E | F |
- * +---+---+---+
- *
- * then for each monitor you would call it like this
- *
- * const w = 1920;
- * const h = 1080;
- * const fullWidth = w * 3;
- * const fullHeight = h * 2;
- *
- * --A--
- * camera.setViewOffset( fullWidth, fullHeight, w * 0, h * 0, w, h );
- * --B--
- * camera.setViewOffset( fullWidth, fullHeight, w * 1, h * 0, w, h );
- * --C--
- * camera.setViewOffset( fullWidth, fullHeight, w * 2, h * 0, w, h );
- * --D--
- * camera.setViewOffset( fullWidth, fullHeight, w * 0, h * 1, w, h );
- * --E--
- * camera.setViewOffset( fullWidth, fullHeight, w * 1, h * 1, w, h );
- * --F--
- * camera.setViewOffset( fullWidth, fullHeight, w * 2, h * 1, w, h );
- *
- * Note there is no reason monitors have to be the same size or in a grid.
- */
- setViewOffset: function setViewOffset(fullWidth, fullHeight, x, y, width, height) {
- this.aspect = fullWidth / fullHeight;
- if (this.view === null) {
- this.view = {
- enabled: true,
- fullWidth: 1,
- fullHeight: 1,
- offsetX: 0,
- offsetY: 0,
- width: 1,
- height: 1
- };
- }
- this.view.enabled = true;
- this.view.fullWidth = fullWidth;
- this.view.fullHeight = fullHeight;
- this.view.offsetX = x;
- this.view.offsetY = y;
- this.view.width = width;
- this.view.height = height;
- this.updateProjectionMatrix();
- },
- clearViewOffset: function clearViewOffset() {
- if (this.view !== null) {
- this.view.enabled = false;
- }
- this.updateProjectionMatrix();
- },
- updateProjectionMatrix: function updateProjectionMatrix() {
- var near = this.near;
- var top = near * Math.tan(MathUtils.DEG2RAD * 0.5 * this.fov) / this.zoom;
- var height = 2 * top;
- var width = this.aspect * height;
- var left = -0.5 * width;
- var view = this.view;
- if (this.view !== null && this.view.enabled) {
- var fullWidth = view.fullWidth,
- fullHeight = view.fullHeight;
- left += view.offsetX * width / fullWidth;
- top -= view.offsetY * height / fullHeight;
- width *= view.width / fullWidth;
- height *= view.height / fullHeight;
- }
- var skew = this.filmOffset;
- if (skew !== 0) left += near * skew / this.getFilmWidth();
- this.projectionMatrix.makePerspective(left, left + width, top, top - height, near, this.far);
- this.projectionMatrixInverse.copy(this.projectionMatrix).invert();
- },
- toJSON: function toJSON(meta) {
- var data = Object3D.prototype.toJSON.call(this, meta);
- data.object.fov = this.fov;
- data.object.zoom = this.zoom;
- data.object.near = this.near;
- data.object.far = this.far;
- data.object.focus = this.focus;
- data.object.aspect = this.aspect;
- if (this.view !== null) data.object.view = Object.assign({}, this.view);
- data.object.filmGauge = this.filmGauge;
- data.object.filmOffset = this.filmOffset;
- return data;
- }
- });
- var fov = 90,
- aspect = 1;
- function CubeCamera(near, far, renderTarget) {
- Object3D.call(this);
- this.type = 'CubeCamera';
- if (renderTarget.isWebGLCubeRenderTarget !== true) {
- console.error('THREE.CubeCamera: The constructor now expects an instance of WebGLCubeRenderTarget as third parameter.');
- return;
- }
- this.renderTarget = renderTarget;
- var cameraPX = new PerspectiveCamera(fov, aspect, near, far);
- cameraPX.layers = this.layers;
- cameraPX.up.set(0, -1, 0);
- cameraPX.lookAt(new Vector3(1, 0, 0));
- this.add(cameraPX);
- var cameraNX = new PerspectiveCamera(fov, aspect, near, far);
- cameraNX.layers = this.layers;
- cameraNX.up.set(0, -1, 0);
- cameraNX.lookAt(new Vector3(-1, 0, 0));
- this.add(cameraNX);
- var cameraPY = new PerspectiveCamera(fov, aspect, near, far);
- cameraPY.layers = this.layers;
- cameraPY.up.set(0, 0, 1);
- cameraPY.lookAt(new Vector3(0, 1, 0));
- this.add(cameraPY);
- var cameraNY = new PerspectiveCamera(fov, aspect, near, far);
- cameraNY.layers = this.layers;
- cameraNY.up.set(0, 0, -1);
- cameraNY.lookAt(new Vector3(0, -1, 0));
- this.add(cameraNY);
- var cameraPZ = new PerspectiveCamera(fov, aspect, near, far);
- cameraPZ.layers = this.layers;
- cameraPZ.up.set(0, -1, 0);
- cameraPZ.lookAt(new Vector3(0, 0, 1));
- this.add(cameraPZ);
- var cameraNZ = new PerspectiveCamera(fov, aspect, near, far);
- cameraNZ.layers = this.layers;
- cameraNZ.up.set(0, -1, 0);
- cameraNZ.lookAt(new Vector3(0, 0, -1));
- this.add(cameraNZ);
- this.update = function (renderer, scene) {
- if (this.parent === null) this.updateMatrixWorld();
- var currentXrEnabled = renderer.xr.enabled;
- var currentRenderTarget = renderer.getRenderTarget();
- renderer.xr.enabled = false;
- var generateMipmaps = renderTarget.texture.generateMipmaps;
- renderTarget.texture.generateMipmaps = false;
- renderer.setRenderTarget(renderTarget, 0);
- renderer.render(scene, cameraPX);
- renderer.setRenderTarget(renderTarget, 1);
- renderer.render(scene, cameraNX);
- renderer.setRenderTarget(renderTarget, 2);
- renderer.render(scene, cameraPY);
- renderer.setRenderTarget(renderTarget, 3);
- renderer.render(scene, cameraNY);
- renderer.setRenderTarget(renderTarget, 4);
- renderer.render(scene, cameraPZ);
- renderTarget.texture.generateMipmaps = generateMipmaps;
- renderer.setRenderTarget(renderTarget, 5);
- renderer.render(scene, cameraNZ);
- renderer.setRenderTarget(currentRenderTarget);
- renderer.xr.enabled = currentXrEnabled;
- };
- }
- CubeCamera.prototype = Object.create(Object3D.prototype);
- CubeCamera.prototype.constructor = CubeCamera;
- function CubeTexture(images, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, encoding) {
- images = images !== undefined ? images : [];
- mapping = mapping !== undefined ? mapping : CubeReflectionMapping;
- format = format !== undefined ? format : RGBFormat;
- Texture.call(this, images, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, encoding);
- this.flipY = false; // Why CubeTexture._needsFlipEnvMap is necessary:
- //
- // By convention -- likely based on the RenderMan spec from the 1990's -- cube maps are specified by WebGL (and three.js)
- // in a coordinate system in which positive-x is to the right when looking up the positive-z axis -- in other words,
- // in a left-handed coordinate system. By continuing this convention, preexisting cube maps continued to render correctly.
- // three.js uses a right-handed coordinate system. So environment maps used in three.js appear to have px and nx swapped
- // and the flag _needsFlipEnvMap controls this conversion. The flip is not required (and thus _needsFlipEnvMap is set to false)
- // when using WebGLCubeRenderTarget.texture as a cube texture.
- this._needsFlipEnvMap = true;
- }
- CubeTexture.prototype = Object.create(Texture.prototype);
- CubeTexture.prototype.constructor = CubeTexture;
- CubeTexture.prototype.isCubeTexture = true;
- Object.defineProperty(CubeTexture.prototype, 'images', {
- get: function get() {
- return this.image;
- },
- set: function set(value) {
- this.image = value;
- }
- });
- function WebGLCubeRenderTarget(size, options, dummy) {
- if (Number.isInteger(options)) {
- console.warn('THREE.WebGLCubeRenderTarget: constructor signature is now WebGLCubeRenderTarget( size, options )');
- options = dummy;
- }
- WebGLRenderTarget.call(this, size, size, options);
- options = options || {};
- this.texture = new CubeTexture(undefined, options.mapping, options.wrapS, options.wrapT, options.magFilter, options.minFilter, options.format, options.type, options.anisotropy, options.encoding);
- this.texture._needsFlipEnvMap = false;
- }
- WebGLCubeRenderTarget.prototype = Object.create(WebGLRenderTarget.prototype);
- WebGLCubeRenderTarget.prototype.constructor = WebGLCubeRenderTarget;
- WebGLCubeRenderTarget.prototype.isWebGLCubeRenderTarget = true;
- WebGLCubeRenderTarget.prototype.fromEquirectangularTexture = function (renderer, texture) {
- this.texture.type = texture.type;
- this.texture.format = RGBAFormat; // see #18859
- this.texture.encoding = texture.encoding;
- this.texture.generateMipmaps = texture.generateMipmaps;
- this.texture.minFilter = texture.minFilter;
- this.texture.magFilter = texture.magFilter;
- var shader = {
- uniforms: {
- tEquirect: {
- value: null
- }
- },
- vertexShader:
- /* glsl */
- "\n\n\t\t\tvarying vec3 vWorldDirection;\n\n\t\t\tvec3 transformDirection( in vec3 dir, in mat4 matrix ) {\n\n\t\t\t\treturn normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );\n\n\t\t\t}\n\n\t\t\tvoid main() {\n\n\t\t\t\tvWorldDirection = transformDirection( position, modelMatrix );\n\n\t\t\t\t#include \n\t\t\t\t#include \n\n\t\t\t}\n\t\t",
- fragmentShader:
- /* glsl */
- "\n\n\t\t\tuniform sampler2D tEquirect;\n\n\t\t\tvarying vec3 vWorldDirection;\n\n\t\t\t#include \n\n\t\t\tvoid main() {\n\n\t\t\t\tvec3 direction = normalize( vWorldDirection );\n\n\t\t\t\tvec2 sampleUV = equirectUv( direction );\n\n\t\t\t\tgl_FragColor = texture2D( tEquirect, sampleUV );\n\n\t\t\t}\n\t\t"
- };
- var geometry = new BoxBufferGeometry(5, 5, 5);
- var material = new ShaderMaterial({
- name: 'CubemapFromEquirect',
- uniforms: cloneUniforms(shader.uniforms),
- vertexShader: shader.vertexShader,
- fragmentShader: shader.fragmentShader,
- side: BackSide,
- blending: NoBlending
- });
- material.uniforms.tEquirect.value = texture;
- var mesh = new Mesh(geometry, material);
- var currentMinFilter = texture.minFilter; // Avoid blurred poles
- if (texture.minFilter === LinearMipmapLinearFilter) texture.minFilter = LinearFilter;
- var camera = new CubeCamera(1, 10, this);
- camera.update(renderer, mesh);
- texture.minFilter = currentMinFilter;
- mesh.geometry.dispose();
- mesh.material.dispose();
- return this;
- };
- WebGLCubeRenderTarget.prototype.clear = function (renderer, color, depth, stencil) {
- var currentRenderTarget = renderer.getRenderTarget();
- for (var i = 0; i < 6; i++) {
- renderer.setRenderTarget(this, i);
- renderer.clear(color, depth, stencil);
- }
- renderer.setRenderTarget(currentRenderTarget);
- };
- function DataTexture(data, width, height, format, type, mapping, wrapS, wrapT, magFilter, minFilter, anisotropy, encoding) {
- Texture.call(this, null, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, encoding);
- this.image = {
- data: data || null,
- width: width || 1,
- height: height || 1
- };
- this.magFilter = magFilter !== undefined ? magFilter : NearestFilter;
- this.minFilter = minFilter !== undefined ? minFilter : NearestFilter;
- this.generateMipmaps = false;
- this.flipY = false;
- this.unpackAlignment = 1;
- this.needsUpdate = true;
- }
- DataTexture.prototype = Object.create(Texture.prototype);
- DataTexture.prototype.constructor = DataTexture;
- DataTexture.prototype.isDataTexture = true;
- var _sphere$1 = /*@__PURE__*/new Sphere();
- var _vector$5 = /*@__PURE__*/new Vector3();
- var Frustum = /*#__PURE__*/function () {
- function Frustum(p0, p1, p2, p3, p4, p5) {
- this.planes = [p0 !== undefined ? p0 : new Plane(), p1 !== undefined ? p1 : new Plane(), p2 !== undefined ? p2 : new Plane(), p3 !== undefined ? p3 : new Plane(), p4 !== undefined ? p4 : new Plane(), p5 !== undefined ? p5 : new Plane()];
- }
- var _proto = Frustum.prototype;
- _proto.set = function set(p0, p1, p2, p3, p4, p5) {
- var planes = this.planes;
- planes[0].copy(p0);
- planes[1].copy(p1);
- planes[2].copy(p2);
- planes[3].copy(p3);
- planes[4].copy(p4);
- planes[5].copy(p5);
- return this;
- };
- _proto.clone = function clone() {
- return new this.constructor().copy(this);
- };
- _proto.copy = function copy(frustum) {
- var planes = this.planes;
- for (var i = 0; i < 6; i++) {
- planes[i].copy(frustum.planes[i]);
- }
- return this;
- };
- _proto.setFromProjectionMatrix = function setFromProjectionMatrix(m) {
- var planes = this.planes;
- var me = m.elements;
- var me0 = me[0],
- me1 = me[1],
- me2 = me[2],
- me3 = me[3];
- var me4 = me[4],
- me5 = me[5],
- me6 = me[6],
- me7 = me[7];
- var me8 = me[8],
- me9 = me[9],
- me10 = me[10],
- me11 = me[11];
- var me12 = me[12],
- me13 = me[13],
- me14 = me[14],
- me15 = me[15];
- planes[0].setComponents(me3 - me0, me7 - me4, me11 - me8, me15 - me12).normalize();
- planes[1].setComponents(me3 + me0, me7 + me4, me11 + me8, me15 + me12).normalize();
- planes[2].setComponents(me3 + me1, me7 + me5, me11 + me9, me15 + me13).normalize();
- planes[3].setComponents(me3 - me1, me7 - me5, me11 - me9, me15 - me13).normalize();
- planes[4].setComponents(me3 - me2, me7 - me6, me11 - me10, me15 - me14).normalize();
- planes[5].setComponents(me3 + me2, me7 + me6, me11 + me10, me15 + me14).normalize();
- return this;
- };
- _proto.intersectsObject = function intersectsObject(object) {
- var geometry = object.geometry;
- if (geometry.boundingSphere === null) geometry.computeBoundingSphere();
- _sphere$1.copy(geometry.boundingSphere).applyMatrix4(object.matrixWorld);
- return this.intersectsSphere(_sphere$1);
- };
- _proto.intersectsSprite = function intersectsSprite(sprite) {
- _sphere$1.center.set(0, 0, 0);
- _sphere$1.radius = 0.7071067811865476;
- _sphere$1.applyMatrix4(sprite.matrixWorld);
- return this.intersectsSphere(_sphere$1);
- };
- _proto.intersectsSphere = function intersectsSphere(sphere) {
- var planes = this.planes;
- var center = sphere.center;
- var negRadius = -sphere.radius;
- for (var i = 0; i < 6; i++) {
- var distance = planes[i].distanceToPoint(center);
- if (distance < negRadius) {
- return false;
- }
- }
- return true;
- };
- _proto.intersectsBox = function intersectsBox(box) {
- var planes = this.planes;
- for (var i = 0; i < 6; i++) {
- var plane = planes[i]; // corner at max distance
- _vector$5.x = plane.normal.x > 0 ? box.max.x : box.min.x;
- _vector$5.y = plane.normal.y > 0 ? box.max.y : box.min.y;
- _vector$5.z = plane.normal.z > 0 ? box.max.z : box.min.z;
- if (plane.distanceToPoint(_vector$5) < 0) {
- return false;
- }
- }
- return true;
- };
- _proto.containsPoint = function containsPoint(point) {
- var planes = this.planes;
- for (var i = 0; i < 6; i++) {
- if (planes[i].distanceToPoint(point) < 0) {
- return false;
- }
- }
- return true;
- };
- return Frustum;
- }();
- function WebGLAnimation() {
- var context = null;
- var isAnimating = false;
- var animationLoop = null;
- var requestId = null;
- function onAnimationFrame(time, frame) {
- animationLoop(time, frame);
- requestId = context.requestAnimationFrame(onAnimationFrame);
- }
- return {
- start: function start() {
- if (isAnimating === true) return;
- if (animationLoop === null) return;
- requestId = context.requestAnimationFrame(onAnimationFrame);
- isAnimating = true;
- },
- stop: function stop() {
- context.cancelAnimationFrame(requestId);
- isAnimating = false;
- },
- setAnimationLoop: function setAnimationLoop(callback) {
- animationLoop = callback;
- },
- setContext: function setContext(value) {
- context = value;
- }
- };
- }
- function WebGLAttributes(gl, capabilities) {
- var isWebGL2 = capabilities.isWebGL2;
- var buffers = new WeakMap();
- function createBuffer(attribute, bufferType) {
- var array = attribute.array;
- var usage = attribute.usage;
- var buffer = gl.createBuffer();
- gl.bindBuffer(bufferType, buffer);
- gl.bufferData(bufferType, array, usage);
- attribute.onUploadCallback();
- var type = 5126;
- if (array instanceof Float32Array) {
- type = 5126;
- } else if (array instanceof Float64Array) {
- console.warn('THREE.WebGLAttributes: Unsupported data buffer format: Float64Array.');
- } else if (array instanceof Uint16Array) {
- if (attribute.isFloat16BufferAttribute) {
- if (isWebGL2) {
- type = 5131;
- } else {
- console.warn('THREE.WebGLAttributes: Usage of Float16BufferAttribute requires WebGL2.');
- }
- } else {
- type = 5123;
- }
- } else if (array instanceof Int16Array) {
- type = 5122;
- } else if (array instanceof Uint32Array) {
- type = 5125;
- } else if (array instanceof Int32Array) {
- type = 5124;
- } else if (array instanceof Int8Array) {
- type = 5120;
- } else if (array instanceof Uint8Array) {
- type = 5121;
- }
- return {
- buffer: buffer,
- type: type,
- bytesPerElement: array.BYTES_PER_ELEMENT,
- version: attribute.version
- };
- }
- function updateBuffer(buffer, attribute, bufferType) {
- var array = attribute.array;
- var updateRange = attribute.updateRange;
- gl.bindBuffer(bufferType, buffer);
- if (updateRange.count === -1) {
- // Not using update ranges
- gl.bufferSubData(bufferType, 0, array);
- } else {
- if (isWebGL2) {
- gl.bufferSubData(bufferType, updateRange.offset * array.BYTES_PER_ELEMENT, array, updateRange.offset, updateRange.count);
- } else {
- gl.bufferSubData(bufferType, updateRange.offset * array.BYTES_PER_ELEMENT, array.subarray(updateRange.offset, updateRange.offset + updateRange.count));
- }
- updateRange.count = -1; // reset range
- }
- } //
-
- function get(attribute) {
- if (attribute.isInterleavedBufferAttribute) attribute = attribute.data;
- return buffers.get(attribute);
- }
- function remove(attribute) {
- if (attribute.isInterleavedBufferAttribute) attribute = attribute.data;
- var data = buffers.get(attribute);
- if (data) {
- gl.deleteBuffer(data.buffer);
- buffers.delete(attribute);
- }
- }
- function update(attribute, bufferType) {
- if (attribute.isGLBufferAttribute) {
- var cached = buffers.get(attribute);
- if (!cached || cached.version < attribute.version) {
- buffers.set(attribute, {
- buffer: attribute.buffer,
- type: attribute.type,
- bytesPerElement: attribute.elementSize,
- version: attribute.version
- });
- }
- return;
- }
- if (attribute.isInterleavedBufferAttribute) attribute = attribute.data;
- var data = buffers.get(attribute);
- if (data === undefined) {
- buffers.set(attribute, createBuffer(attribute, bufferType));
- } else if (data.version < attribute.version) {
- updateBuffer(data.buffer, attribute, bufferType);
- data.version = attribute.version;
- }
- }
- return {
- get: get,
- remove: remove,
- update: update
- };
- }
- var PlaneBufferGeometry = /*#__PURE__*/function (_BufferGeometry) {
- _inheritsLoose(PlaneBufferGeometry, _BufferGeometry);
- function PlaneBufferGeometry(width, height, widthSegments, heightSegments) {
- var _this;
- if (width === void 0) {
- width = 1;
- }
- if (height === void 0) {
- height = 1;
- }
- if (widthSegments === void 0) {
- widthSegments = 1;
- }
- if (heightSegments === void 0) {
- heightSegments = 1;
- }
- _this = _BufferGeometry.call(this) || this;
- _this.type = 'PlaneBufferGeometry';
- _this.parameters = {
- width: width,
- height: height,
- widthSegments: widthSegments,
- heightSegments: heightSegments
- };
- var width_half = width / 2;
- var height_half = height / 2;
- var gridX = Math.floor(widthSegments);
- var gridY = Math.floor(heightSegments);
- var gridX1 = gridX + 1;
- var gridY1 = gridY + 1;
- var segment_width = width / gridX;
- var segment_height = height / gridY; //
- var indices = [];
- var vertices = [];
- var normals = [];
- var uvs = [];
- for (var iy = 0; iy < gridY1; iy++) {
- var y = iy * segment_height - height_half;
- for (var ix = 0; ix < gridX1; ix++) {
- var x = ix * segment_width - width_half;
- vertices.push(x, -y, 0);
- normals.push(0, 0, 1);
- uvs.push(ix / gridX);
- uvs.push(1 - iy / gridY);
- }
- }
- for (var _iy = 0; _iy < gridY; _iy++) {
- for (var _ix = 0; _ix < gridX; _ix++) {
- var a = _ix + gridX1 * _iy;
- var b = _ix + gridX1 * (_iy + 1);
- var c = _ix + 1 + gridX1 * (_iy + 1);
- var d = _ix + 1 + gridX1 * _iy;
- indices.push(a, b, d);
- indices.push(b, c, d);
- }
- }
- _this.setIndex(indices);
- _this.setAttribute('position', new Float32BufferAttribute(vertices, 3));
- _this.setAttribute('normal', new Float32BufferAttribute(normals, 3));
- _this.setAttribute('uv', new Float32BufferAttribute(uvs, 2));
- return _this;
- }
- return PlaneBufferGeometry;
- }(BufferGeometry);
- var alphamap_fragment = "#ifdef USE_ALPHAMAP\n\tdiffuseColor.a *= texture2D( alphaMap, vUv ).g;\n#endif";
- var alphamap_pars_fragment = "#ifdef USE_ALPHAMAP\n\tuniform sampler2D alphaMap;\n#endif";
- var alphatest_fragment = "#ifdef ALPHATEST\n\tif ( diffuseColor.a < ALPHATEST ) discard;\n#endif";
- var aomap_fragment = "#ifdef USE_AOMAP\n\tfloat ambientOcclusion = ( texture2D( aoMap, vUv2 ).r - 1.0 ) * aoMapIntensity + 1.0;\n\treflectedLight.indirectDiffuse *= ambientOcclusion;\n\t#if defined( USE_ENVMAP ) && defined( STANDARD )\n\t\tfloat dotNV = saturate( dot( geometry.normal, geometry.viewDir ) );\n\t\treflectedLight.indirectSpecular *= computeSpecularOcclusion( dotNV, ambientOcclusion, material.specularRoughness );\n\t#endif\n#endif";
- var aomap_pars_fragment = "#ifdef USE_AOMAP\n\tuniform sampler2D aoMap;\n\tuniform float aoMapIntensity;\n#endif";
- var begin_vertex = "vec3 transformed = vec3( position );";
- var beginnormal_vertex = "vec3 objectNormal = vec3( normal );\n#ifdef USE_TANGENT\n\tvec3 objectTangent = vec3( tangent.xyz );\n#endif";
- var bsdfs = "vec2 integrateSpecularBRDF( const in float dotNV, const in float roughness ) {\n\tconst vec4 c0 = vec4( - 1, - 0.0275, - 0.572, 0.022 );\n\tconst vec4 c1 = vec4( 1, 0.0425, 1.04, - 0.04 );\n\tvec4 r = roughness * c0 + c1;\n\tfloat a004 = min( r.x * r.x, exp2( - 9.28 * dotNV ) ) * r.x + r.y;\n\treturn vec2( -1.04, 1.04 ) * a004 + r.zw;\n}\nfloat punctualLightIntensityToIrradianceFactor( const in float lightDistance, const in float cutoffDistance, const in float decayExponent ) {\n#if defined ( PHYSICALLY_CORRECT_LIGHTS )\n\tfloat distanceFalloff = 1.0 / max( pow( lightDistance, decayExponent ), 0.01 );\n\tif( cutoffDistance > 0.0 ) {\n\t\tdistanceFalloff *= pow2( saturate( 1.0 - pow4( lightDistance / cutoffDistance ) ) );\n\t}\n\treturn distanceFalloff;\n#else\n\tif( cutoffDistance > 0.0 && decayExponent > 0.0 ) {\n\t\treturn pow( saturate( -lightDistance / cutoffDistance + 1.0 ), decayExponent );\n\t}\n\treturn 1.0;\n#endif\n}\nvec3 BRDF_Diffuse_Lambert( const in vec3 diffuseColor ) {\n\treturn RECIPROCAL_PI * diffuseColor;\n}\nvec3 F_Schlick( const in vec3 specularColor, const in float dotLH ) {\n\tfloat fresnel = exp2( ( -5.55473 * dotLH - 6.98316 ) * dotLH );\n\treturn ( 1.0 - specularColor ) * fresnel + specularColor;\n}\nvec3 F_Schlick_RoughnessDependent( const in vec3 F0, const in float dotNV, const in float roughness ) {\n\tfloat fresnel = exp2( ( -5.55473 * dotNV - 6.98316 ) * dotNV );\n\tvec3 Fr = max( vec3( 1.0 - roughness ), F0 ) - F0;\n\treturn Fr * fresnel + F0;\n}\nfloat G_GGX_Smith( const in float alpha, const in float dotNL, const in float dotNV ) {\n\tfloat a2 = pow2( alpha );\n\tfloat gl = dotNL + sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) );\n\tfloat gv = dotNV + sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) );\n\treturn 1.0 / ( gl * gv );\n}\nfloat G_GGX_SmithCorrelated( const in float alpha, const in float dotNL, const in float dotNV ) {\n\tfloat a2 = pow2( alpha );\n\tfloat gv = dotNL * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) );\n\tfloat gl = dotNV * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) );\n\treturn 0.5 / max( gv + gl, EPSILON );\n}\nfloat D_GGX( const in float alpha, const in float dotNH ) {\n\tfloat a2 = pow2( alpha );\n\tfloat denom = pow2( dotNH ) * ( a2 - 1.0 ) + 1.0;\n\treturn RECIPROCAL_PI * a2 / pow2( denom );\n}\nvec3 BRDF_Specular_GGX( const in IncidentLight incidentLight, const in vec3 viewDir, const in vec3 normal, const in vec3 specularColor, const in float roughness ) {\n\tfloat alpha = pow2( roughness );\n\tvec3 halfDir = normalize( incidentLight.direction + viewDir );\n\tfloat dotNL = saturate( dot( normal, incidentLight.direction ) );\n\tfloat dotNV = saturate( dot( normal, viewDir ) );\n\tfloat dotNH = saturate( dot( normal, halfDir ) );\n\tfloat dotLH = saturate( dot( incidentLight.direction, halfDir ) );\n\tvec3 F = F_Schlick( specularColor, dotLH );\n\tfloat G = G_GGX_SmithCorrelated( alpha, dotNL, dotNV );\n\tfloat D = D_GGX( alpha, dotNH );\n\treturn F * ( G * D );\n}\nvec2 LTC_Uv( const in vec3 N, const in vec3 V, const in float roughness ) {\n\tconst float LUT_SIZE = 64.0;\n\tconst float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE;\n\tconst float LUT_BIAS = 0.5 / LUT_SIZE;\n\tfloat dotNV = saturate( dot( N, V ) );\n\tvec2 uv = vec2( roughness, sqrt( 1.0 - dotNV ) );\n\tuv = uv * LUT_SCALE + LUT_BIAS;\n\treturn uv;\n}\nfloat LTC_ClippedSphereFormFactor( const in vec3 f ) {\n\tfloat l = length( f );\n\treturn max( ( l * l + f.z ) / ( l + 1.0 ), 0.0 );\n}\nvec3 LTC_EdgeVectorFormFactor( const in vec3 v1, const in vec3 v2 ) {\n\tfloat x = dot( v1, v2 );\n\tfloat y = abs( x );\n\tfloat a = 0.8543985 + ( 0.4965155 + 0.0145206 * y ) * y;\n\tfloat b = 3.4175940 + ( 4.1616724 + y ) * y;\n\tfloat v = a / b;\n\tfloat theta_sintheta = ( x > 0.0 ) ? v : 0.5 * inversesqrt( max( 1.0 - x * x, 1e-7 ) ) - v;\n\treturn cross( v1, v2 ) * theta_sintheta;\n}\nvec3 LTC_Evaluate( const in vec3 N, const in vec3 V, const in vec3 P, const in mat3 mInv, const in vec3 rectCoords[ 4 ] ) {\n\tvec3 v1 = rectCoords[ 1 ] - rectCoords[ 0 ];\n\tvec3 v2 = rectCoords[ 3 ] - rectCoords[ 0 ];\n\tvec3 lightNormal = cross( v1, v2 );\n\tif( dot( lightNormal, P - rectCoords[ 0 ] ) < 0.0 ) return vec3( 0.0 );\n\tvec3 T1, T2;\n\tT1 = normalize( V - N * dot( V, N ) );\n\tT2 = - cross( N, T1 );\n\tmat3 mat = mInv * transposeMat3( mat3( T1, T2, N ) );\n\tvec3 coords[ 4 ];\n\tcoords[ 0 ] = mat * ( rectCoords[ 0 ] - P );\n\tcoords[ 1 ] = mat * ( rectCoords[ 1 ] - P );\n\tcoords[ 2 ] = mat * ( rectCoords[ 2 ] - P );\n\tcoords[ 3 ] = mat * ( rectCoords[ 3 ] - P );\n\tcoords[ 0 ] = normalize( coords[ 0 ] );\n\tcoords[ 1 ] = normalize( coords[ 1 ] );\n\tcoords[ 2 ] = normalize( coords[ 2 ] );\n\tcoords[ 3 ] = normalize( coords[ 3 ] );\n\tvec3 vectorFormFactor = vec3( 0.0 );\n\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 0 ], coords[ 1 ] );\n\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 1 ], coords[ 2 ] );\n\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 2 ], coords[ 3 ] );\n\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 3 ], coords[ 0 ] );\n\tfloat result = LTC_ClippedSphereFormFactor( vectorFormFactor );\n\treturn vec3( result );\n}\nvec3 BRDF_Specular_GGX_Environment( const in vec3 viewDir, const in vec3 normal, const in vec3 specularColor, const in float roughness ) {\n\tfloat dotNV = saturate( dot( normal, viewDir ) );\n\tvec2 brdf = integrateSpecularBRDF( dotNV, roughness );\n\treturn specularColor * brdf.x + brdf.y;\n}\nvoid BRDF_Specular_Multiscattering_Environment( const in GeometricContext geometry, const in vec3 specularColor, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) {\n\tfloat dotNV = saturate( dot( geometry.normal, geometry.viewDir ) );\n\tvec3 F = F_Schlick_RoughnessDependent( specularColor, dotNV, roughness );\n\tvec2 brdf = integrateSpecularBRDF( dotNV, roughness );\n\tvec3 FssEss = F * brdf.x + brdf.y;\n\tfloat Ess = brdf.x + brdf.y;\n\tfloat Ems = 1.0 - Ess;\n\tvec3 Favg = specularColor + ( 1.0 - specularColor ) * 0.047619;\tvec3 Fms = FssEss * Favg / ( 1.0 - Ems * Favg );\n\tsingleScatter += FssEss;\n\tmultiScatter += Fms * Ems;\n}\nfloat G_BlinnPhong_Implicit( ) {\n\treturn 0.25;\n}\nfloat D_BlinnPhong( const in float shininess, const in float dotNH ) {\n\treturn RECIPROCAL_PI * ( shininess * 0.5 + 1.0 ) * pow( dotNH, shininess );\n}\nvec3 BRDF_Specular_BlinnPhong( const in IncidentLight incidentLight, const in GeometricContext geometry, const in vec3 specularColor, const in float shininess ) {\n\tvec3 halfDir = normalize( incidentLight.direction + geometry.viewDir );\n\tfloat dotNH = saturate( dot( geometry.normal, halfDir ) );\n\tfloat dotLH = saturate( dot( incidentLight.direction, halfDir ) );\n\tvec3 F = F_Schlick( specularColor, dotLH );\n\tfloat G = G_BlinnPhong_Implicit( );\n\tfloat D = D_BlinnPhong( shininess, dotNH );\n\treturn F * ( G * D );\n}\nfloat GGXRoughnessToBlinnExponent( const in float ggxRoughness ) {\n\treturn ( 2.0 / pow2( ggxRoughness + 0.0001 ) - 2.0 );\n}\nfloat BlinnExponentToGGXRoughness( const in float blinnExponent ) {\n\treturn sqrt( 2.0 / ( blinnExponent + 2.0 ) );\n}\n#if defined( USE_SHEEN )\nfloat D_Charlie(float roughness, float NoH) {\n\tfloat invAlpha = 1.0 / roughness;\n\tfloat cos2h = NoH * NoH;\n\tfloat sin2h = max(1.0 - cos2h, 0.0078125);\treturn (2.0 + invAlpha) * pow(sin2h, invAlpha * 0.5) / (2.0 * PI);\n}\nfloat V_Neubelt(float NoV, float NoL) {\n\treturn saturate(1.0 / (4.0 * (NoL + NoV - NoL * NoV)));\n}\nvec3 BRDF_Specular_Sheen( const in float roughness, const in vec3 L, const in GeometricContext geometry, vec3 specularColor ) {\n\tvec3 N = geometry.normal;\n\tvec3 V = geometry.viewDir;\n\tvec3 H = normalize( V + L );\n\tfloat dotNH = saturate( dot( N, H ) );\n\treturn specularColor * D_Charlie( roughness, dotNH ) * V_Neubelt( dot(N, V), dot(N, L) );\n}\n#endif";
- var bumpmap_pars_fragment = "#ifdef USE_BUMPMAP\n\tuniform sampler2D bumpMap;\n\tuniform float bumpScale;\n\tvec2 dHdxy_fwd() {\n\t\tvec2 dSTdx = dFdx( vUv );\n\t\tvec2 dSTdy = dFdy( vUv );\n\t\tfloat Hll = bumpScale * texture2D( bumpMap, vUv ).x;\n\t\tfloat dBx = bumpScale * texture2D( bumpMap, vUv + dSTdx ).x - Hll;\n\t\tfloat dBy = bumpScale * texture2D( bumpMap, vUv + dSTdy ).x - Hll;\n\t\treturn vec2( dBx, dBy );\n\t}\n\tvec3 perturbNormalArb( vec3 surf_pos, vec3 surf_norm, vec2 dHdxy ) {\n\t\tvec3 vSigmaX = vec3( dFdx( surf_pos.x ), dFdx( surf_pos.y ), dFdx( surf_pos.z ) );\n\t\tvec3 vSigmaY = vec3( dFdy( surf_pos.x ), dFdy( surf_pos.y ), dFdy( surf_pos.z ) );\n\t\tvec3 vN = surf_norm;\n\t\tvec3 R1 = cross( vSigmaY, vN );\n\t\tvec3 R2 = cross( vN, vSigmaX );\n\t\tfloat fDet = dot( vSigmaX, R1 );\n\t\tfDet *= ( float( gl_FrontFacing ) * 2.0 - 1.0 );\n\t\tvec3 vGrad = sign( fDet ) * ( dHdxy.x * R1 + dHdxy.y * R2 );\n\t\treturn normalize( abs( fDet ) * surf_norm - vGrad );\n\t}\n#endif";
- var clipping_planes_fragment = "#if NUM_CLIPPING_PLANES > 0\n\tvec4 plane;\n\t#pragma unroll_loop_start\n\tfor ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) {\n\t\tplane = clippingPlanes[ i ];\n\t\tif ( dot( vClipPosition, plane.xyz ) > plane.w ) discard;\n\t}\n\t#pragma unroll_loop_end\n\t#if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES\n\t\tbool clipped = true;\n\t\t#pragma unroll_loop_start\n\t\tfor ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) {\n\t\t\tplane = clippingPlanes[ i ];\n\t\t\tclipped = ( dot( vClipPosition, plane.xyz ) > plane.w ) && clipped;\n\t\t}\n\t\t#pragma unroll_loop_end\n\t\tif ( clipped ) discard;\n\t#endif\n#endif";
- var clipping_planes_pars_fragment = "#if NUM_CLIPPING_PLANES > 0\n\tvarying vec3 vClipPosition;\n\tuniform vec4 clippingPlanes[ NUM_CLIPPING_PLANES ];\n#endif";
- var clipping_planes_pars_vertex = "#if NUM_CLIPPING_PLANES > 0\n\tvarying vec3 vClipPosition;\n#endif";
- var clipping_planes_vertex = "#if NUM_CLIPPING_PLANES > 0\n\tvClipPosition = - mvPosition.xyz;\n#endif";
- var color_fragment = "#ifdef USE_COLOR\n\tdiffuseColor.rgb *= vColor;\n#endif";
- var color_pars_fragment = "#ifdef USE_COLOR\n\tvarying vec3 vColor;\n#endif";
- var color_pars_vertex = "#if defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR )\n\tvarying vec3 vColor;\n#endif";
- var color_vertex = "#if defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR )\n\tvColor = vec3( 1.0 );\n#endif\n#ifdef USE_COLOR\n\tvColor.xyz *= color.xyz;\n#endif\n#ifdef USE_INSTANCING_COLOR\n\tvColor.xyz *= instanceColor.xyz;\n#endif";
- var common = "#define PI 3.141592653589793\n#define PI2 6.283185307179586\n#define PI_HALF 1.5707963267948966\n#define RECIPROCAL_PI 0.3183098861837907\n#define RECIPROCAL_PI2 0.15915494309189535\n#define EPSILON 1e-6\n#ifndef saturate\n#define saturate(a) clamp( a, 0.0, 1.0 )\n#endif\n#define whiteComplement(a) ( 1.0 - saturate( a ) )\nfloat pow2( const in float x ) { return x*x; }\nfloat pow3( const in float x ) { return x*x*x; }\nfloat pow4( const in float x ) { float x2 = x*x; return x2*x2; }\nfloat average( const in vec3 color ) { return dot( color, vec3( 0.3333 ) ); }\nhighp float rand( const in vec2 uv ) {\n\tconst highp float a = 12.9898, b = 78.233, c = 43758.5453;\n\thighp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI );\n\treturn fract(sin(sn) * c);\n}\n#ifdef HIGH_PRECISION\n\tfloat precisionSafeLength( vec3 v ) { return length( v ); }\n#else\n\tfloat max3( vec3 v ) { return max( max( v.x, v.y ), v.z ); }\n\tfloat precisionSafeLength( vec3 v ) {\n\t\tfloat maxComponent = max3( abs( v ) );\n\t\treturn length( v / maxComponent ) * maxComponent;\n\t}\n#endif\nstruct IncidentLight {\n\tvec3 color;\n\tvec3 direction;\n\tbool visible;\n};\nstruct ReflectedLight {\n\tvec3 directDiffuse;\n\tvec3 directSpecular;\n\tvec3 indirectDiffuse;\n\tvec3 indirectSpecular;\n};\nstruct GeometricContext {\n\tvec3 position;\n\tvec3 normal;\n\tvec3 viewDir;\n#ifdef CLEARCOAT\n\tvec3 clearcoatNormal;\n#endif\n};\nvec3 transformDirection( in vec3 dir, in mat4 matrix ) {\n\treturn normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );\n}\nvec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) {\n\treturn normalize( ( vec4( dir, 0.0 ) * matrix ).xyz );\n}\nvec3 projectOnPlane(in vec3 point, in vec3 pointOnPlane, in vec3 planeNormal ) {\n\tfloat distance = dot( planeNormal, point - pointOnPlane );\n\treturn - distance * planeNormal + point;\n}\nfloat sideOfPlane( in vec3 point, in vec3 pointOnPlane, in vec3 planeNormal ) {\n\treturn sign( dot( point - pointOnPlane, planeNormal ) );\n}\nvec3 linePlaneIntersect( in vec3 pointOnLine, in vec3 lineDirection, in vec3 pointOnPlane, in vec3 planeNormal ) {\n\treturn lineDirection * ( dot( planeNormal, pointOnPlane - pointOnLine ) / dot( planeNormal, lineDirection ) ) + pointOnLine;\n}\nmat3 transposeMat3( const in mat3 m ) {\n\tmat3 tmp;\n\ttmp[ 0 ] = vec3( m[ 0 ].x, m[ 1 ].x, m[ 2 ].x );\n\ttmp[ 1 ] = vec3( m[ 0 ].y, m[ 1 ].y, m[ 2 ].y );\n\ttmp[ 2 ] = vec3( m[ 0 ].z, m[ 1 ].z, m[ 2 ].z );\n\treturn tmp;\n}\nfloat linearToRelativeLuminance( const in vec3 color ) {\n\tvec3 weights = vec3( 0.2126, 0.7152, 0.0722 );\n\treturn dot( weights, color.rgb );\n}\nbool isPerspectiveMatrix( mat4 m ) {\n\treturn m[ 2 ][ 3 ] == - 1.0;\n}\nvec2 equirectUv( in vec3 dir ) {\n\tfloat u = atan( dir.z, dir.x ) * RECIPROCAL_PI2 + 0.5;\n\tfloat v = asin( clamp( dir.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5;\n\treturn vec2( u, v );\n}";
- var cube_uv_reflection_fragment = "#ifdef ENVMAP_TYPE_CUBE_UV\n\t#define cubeUV_maxMipLevel 8.0\n\t#define cubeUV_minMipLevel 4.0\n\t#define cubeUV_maxTileSize 256.0\n\t#define cubeUV_minTileSize 16.0\n\tfloat getFace( vec3 direction ) {\n\t\tvec3 absDirection = abs( direction );\n\t\tfloat face = - 1.0;\n\t\tif ( absDirection.x > absDirection.z ) {\n\t\t\tif ( absDirection.x > absDirection.y )\n\t\t\t\tface = direction.x > 0.0 ? 0.0 : 3.0;\n\t\t\telse\n\t\t\t\tface = direction.y > 0.0 ? 1.0 : 4.0;\n\t\t} else {\n\t\t\tif ( absDirection.z > absDirection.y )\n\t\t\t\tface = direction.z > 0.0 ? 2.0 : 5.0;\n\t\t\telse\n\t\t\t\tface = direction.y > 0.0 ? 1.0 : 4.0;\n\t\t}\n\t\treturn face;\n\t}\n\tvec2 getUV( vec3 direction, float face ) {\n\t\tvec2 uv;\n\t\tif ( face == 0.0 ) {\n\t\t\tuv = vec2( direction.z, direction.y ) / abs( direction.x );\n\t\t} else if ( face == 1.0 ) {\n\t\t\tuv = vec2( - direction.x, - direction.z ) / abs( direction.y );\n\t\t} else if ( face == 2.0 ) {\n\t\t\tuv = vec2( - direction.x, direction.y ) / abs( direction.z );\n\t\t} else if ( face == 3.0 ) {\n\t\t\tuv = vec2( - direction.z, direction.y ) / abs( direction.x );\n\t\t} else if ( face == 4.0 ) {\n\t\t\tuv = vec2( - direction.x, direction.z ) / abs( direction.y );\n\t\t} else {\n\t\t\tuv = vec2( direction.x, direction.y ) / abs( direction.z );\n\t\t}\n\t\treturn 0.5 * ( uv + 1.0 );\n\t}\n\tvec3 bilinearCubeUV( sampler2D envMap, vec3 direction, float mipInt ) {\n\t\tfloat face = getFace( direction );\n\t\tfloat filterInt = max( cubeUV_minMipLevel - mipInt, 0.0 );\n\t\tmipInt = max( mipInt, cubeUV_minMipLevel );\n\t\tfloat faceSize = exp2( mipInt );\n\t\tfloat texelSize = 1.0 / ( 3.0 * cubeUV_maxTileSize );\n\t\tvec2 uv = getUV( direction, face ) * ( faceSize - 1.0 );\n\t\tvec2 f = fract( uv );\n\t\tuv += 0.5 - f;\n\t\tif ( face > 2.0 ) {\n\t\t\tuv.y += faceSize;\n\t\t\tface -= 3.0;\n\t\t}\n\t\tuv.x += face * faceSize;\n\t\tif ( mipInt < cubeUV_maxMipLevel ) {\n\t\t\tuv.y += 2.0 * cubeUV_maxTileSize;\n\t\t}\n\t\tuv.y += filterInt * 2.0 * cubeUV_minTileSize;\n\t\tuv.x += 3.0 * max( 0.0, cubeUV_maxTileSize - 2.0 * faceSize );\n\t\tuv *= texelSize;\n\t\tvec3 tl = envMapTexelToLinear( texture2D( envMap, uv ) ).rgb;\n\t\tuv.x += texelSize;\n\t\tvec3 tr = envMapTexelToLinear( texture2D( envMap, uv ) ).rgb;\n\t\tuv.y += texelSize;\n\t\tvec3 br = envMapTexelToLinear( texture2D( envMap, uv ) ).rgb;\n\t\tuv.x -= texelSize;\n\t\tvec3 bl = envMapTexelToLinear( texture2D( envMap, uv ) ).rgb;\n\t\tvec3 tm = mix( tl, tr, f.x );\n\t\tvec3 bm = mix( bl, br, f.x );\n\t\treturn mix( tm, bm, f.y );\n\t}\n\t#define r0 1.0\n\t#define v0 0.339\n\t#define m0 - 2.0\n\t#define r1 0.8\n\t#define v1 0.276\n\t#define m1 - 1.0\n\t#define r4 0.4\n\t#define v4 0.046\n\t#define m4 2.0\n\t#define r5 0.305\n\t#define v5 0.016\n\t#define m5 3.0\n\t#define r6 0.21\n\t#define v6 0.0038\n\t#define m6 4.0\n\tfloat roughnessToMip( float roughness ) {\n\t\tfloat mip = 0.0;\n\t\tif ( roughness >= r1 ) {\n\t\t\tmip = ( r0 - roughness ) * ( m1 - m0 ) / ( r0 - r1 ) + m0;\n\t\t} else if ( roughness >= r4 ) {\n\t\t\tmip = ( r1 - roughness ) * ( m4 - m1 ) / ( r1 - r4 ) + m1;\n\t\t} else if ( roughness >= r5 ) {\n\t\t\tmip = ( r4 - roughness ) * ( m5 - m4 ) / ( r4 - r5 ) + m4;\n\t\t} else if ( roughness >= r6 ) {\n\t\t\tmip = ( r5 - roughness ) * ( m6 - m5 ) / ( r5 - r6 ) + m5;\n\t\t} else {\n\t\t\tmip = - 2.0 * log2( 1.16 * roughness );\t\t}\n\t\treturn mip;\n\t}\n\tvec4 textureCubeUV( sampler2D envMap, vec3 sampleDir, float roughness ) {\n\t\tfloat mip = clamp( roughnessToMip( roughness ), m0, cubeUV_maxMipLevel );\n\t\tfloat mipF = fract( mip );\n\t\tfloat mipInt = floor( mip );\n\t\tvec3 color0 = bilinearCubeUV( envMap, sampleDir, mipInt );\n\t\tif ( mipF == 0.0 ) {\n\t\t\treturn vec4( color0, 1.0 );\n\t\t} else {\n\t\t\tvec3 color1 = bilinearCubeUV( envMap, sampleDir, mipInt + 1.0 );\n\t\t\treturn vec4( mix( color0, color1, mipF ), 1.0 );\n\t\t}\n\t}\n#endif";
- var defaultnormal_vertex = "vec3 transformedNormal = objectNormal;\n#ifdef USE_INSTANCING\n\tmat3 m = mat3( instanceMatrix );\n\ttransformedNormal /= vec3( dot( m[ 0 ], m[ 0 ] ), dot( m[ 1 ], m[ 1 ] ), dot( m[ 2 ], m[ 2 ] ) );\n\ttransformedNormal = m * transformedNormal;\n#endif\ntransformedNormal = normalMatrix * transformedNormal;\n#ifdef FLIP_SIDED\n\ttransformedNormal = - transformedNormal;\n#endif\n#ifdef USE_TANGENT\n\tvec3 transformedTangent = ( modelViewMatrix * vec4( objectTangent, 0.0 ) ).xyz;\n\t#ifdef FLIP_SIDED\n\t\ttransformedTangent = - transformedTangent;\n\t#endif\n#endif";
- var displacementmap_pars_vertex = "#ifdef USE_DISPLACEMENTMAP\n\tuniform sampler2D displacementMap;\n\tuniform float displacementScale;\n\tuniform float displacementBias;\n#endif";
- var displacementmap_vertex = "#ifdef USE_DISPLACEMENTMAP\n\ttransformed += normalize( objectNormal ) * ( texture2D( displacementMap, vUv ).x * displacementScale + displacementBias );\n#endif";
- var emissivemap_fragment = "#ifdef USE_EMISSIVEMAP\n\tvec4 emissiveColor = texture2D( emissiveMap, vUv );\n\temissiveColor.rgb = emissiveMapTexelToLinear( emissiveColor ).rgb;\n\ttotalEmissiveRadiance *= emissiveColor.rgb;\n#endif";
- var emissivemap_pars_fragment = "#ifdef USE_EMISSIVEMAP\n\tuniform sampler2D emissiveMap;\n#endif";
- var encodings_fragment = "gl_FragColor = linearToOutputTexel( gl_FragColor );";
- var encodings_pars_fragment = "\nvec4 LinearToLinear( in vec4 value ) {\n\treturn value;\n}\nvec4 GammaToLinear( in vec4 value, in float gammaFactor ) {\n\treturn vec4( pow( value.rgb, vec3( gammaFactor ) ), value.a );\n}\nvec4 LinearToGamma( in vec4 value, in float gammaFactor ) {\n\treturn vec4( pow( value.rgb, vec3( 1.0 / gammaFactor ) ), value.a );\n}\nvec4 sRGBToLinear( in vec4 value ) {\n\treturn vec4( mix( pow( value.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), value.rgb * 0.0773993808, vec3( lessThanEqual( value.rgb, vec3( 0.04045 ) ) ) ), value.a );\n}\nvec4 LinearTosRGB( in vec4 value ) {\n\treturn vec4( mix( pow( value.rgb, vec3( 0.41666 ) ) * 1.055 - vec3( 0.055 ), value.rgb * 12.92, vec3( lessThanEqual( value.rgb, vec3( 0.0031308 ) ) ) ), value.a );\n}\nvec4 RGBEToLinear( in vec4 value ) {\n\treturn vec4( value.rgb * exp2( value.a * 255.0 - 128.0 ), 1.0 );\n}\nvec4 LinearToRGBE( in vec4 value ) {\n\tfloat maxComponent = max( max( value.r, value.g ), value.b );\n\tfloat fExp = clamp( ceil( log2( maxComponent ) ), -128.0, 127.0 );\n\treturn vec4( value.rgb / exp2( fExp ), ( fExp + 128.0 ) / 255.0 );\n}\nvec4 RGBMToLinear( in vec4 value, in float maxRange ) {\n\treturn vec4( value.rgb * value.a * maxRange, 1.0 );\n}\nvec4 LinearToRGBM( in vec4 value, in float maxRange ) {\n\tfloat maxRGB = max( value.r, max( value.g, value.b ) );\n\tfloat M = clamp( maxRGB / maxRange, 0.0, 1.0 );\n\tM = ceil( M * 255.0 ) / 255.0;\n\treturn vec4( value.rgb / ( M * maxRange ), M );\n}\nvec4 RGBDToLinear( in vec4 value, in float maxRange ) {\n\treturn vec4( value.rgb * ( ( maxRange / 255.0 ) / value.a ), 1.0 );\n}\nvec4 LinearToRGBD( in vec4 value, in float maxRange ) {\n\tfloat maxRGB = max( value.r, max( value.g, value.b ) );\n\tfloat D = max( maxRange / maxRGB, 1.0 );\n\tD = clamp( floor( D ) / 255.0, 0.0, 1.0 );\n\treturn vec4( value.rgb * ( D * ( 255.0 / maxRange ) ), D );\n}\nconst mat3 cLogLuvM = mat3( 0.2209, 0.3390, 0.4184, 0.1138, 0.6780, 0.7319, 0.0102, 0.1130, 0.2969 );\nvec4 LinearToLogLuv( in vec4 value ) {\n\tvec3 Xp_Y_XYZp = cLogLuvM * value.rgb;\n\tXp_Y_XYZp = max( Xp_Y_XYZp, vec3( 1e-6, 1e-6, 1e-6 ) );\n\tvec4 vResult;\n\tvResult.xy = Xp_Y_XYZp.xy / Xp_Y_XYZp.z;\n\tfloat Le = 2.0 * log2(Xp_Y_XYZp.y) + 127.0;\n\tvResult.w = fract( Le );\n\tvResult.z = ( Le - ( floor( vResult.w * 255.0 ) ) / 255.0 ) / 255.0;\n\treturn vResult;\n}\nconst mat3 cLogLuvInverseM = mat3( 6.0014, -2.7008, -1.7996, -1.3320, 3.1029, -5.7721, 0.3008, -1.0882, 5.6268 );\nvec4 LogLuvToLinear( in vec4 value ) {\n\tfloat Le = value.z * 255.0 + value.w;\n\tvec3 Xp_Y_XYZp;\n\tXp_Y_XYZp.y = exp2( ( Le - 127.0 ) / 2.0 );\n\tXp_Y_XYZp.z = Xp_Y_XYZp.y / value.y;\n\tXp_Y_XYZp.x = value.x * Xp_Y_XYZp.z;\n\tvec3 vRGB = cLogLuvInverseM * Xp_Y_XYZp.rgb;\n\treturn vec4( max( vRGB, 0.0 ), 1.0 );\n}";
- var envmap_fragment = "#ifdef USE_ENVMAP\n\t#ifdef ENV_WORLDPOS\n\t\tvec3 cameraToFrag;\n\t\tif ( isOrthographic ) {\n\t\t\tcameraToFrag = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );\n\t\t} else {\n\t\t\tcameraToFrag = normalize( vWorldPosition - cameraPosition );\n\t\t}\n\t\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\n\t\t#ifdef ENVMAP_MODE_REFLECTION\n\t\t\tvec3 reflectVec = reflect( cameraToFrag, worldNormal );\n\t\t#else\n\t\t\tvec3 reflectVec = refract( cameraToFrag, worldNormal, refractionRatio );\n\t\t#endif\n\t#else\n\t\tvec3 reflectVec = vReflect;\n\t#endif\n\t#ifdef ENVMAP_TYPE_CUBE\n\t\tvec4 envColor = textureCube( envMap, vec3( flipEnvMap * reflectVec.x, reflectVec.yz ) );\n\t#elif defined( ENVMAP_TYPE_CUBE_UV )\n\t\tvec4 envColor = textureCubeUV( envMap, reflectVec, 0.0 );\n\t#else\n\t\tvec4 envColor = vec4( 0.0 );\n\t#endif\n\t#ifndef ENVMAP_TYPE_CUBE_UV\n\t\tenvColor = envMapTexelToLinear( envColor );\n\t#endif\n\t#ifdef ENVMAP_BLENDING_MULTIPLY\n\t\toutgoingLight = mix( outgoingLight, outgoingLight * envColor.xyz, specularStrength * reflectivity );\n\t#elif defined( ENVMAP_BLENDING_MIX )\n\t\toutgoingLight = mix( outgoingLight, envColor.xyz, specularStrength * reflectivity );\n\t#elif defined( ENVMAP_BLENDING_ADD )\n\t\toutgoingLight += envColor.xyz * specularStrength * reflectivity;\n\t#endif\n#endif";
- var envmap_common_pars_fragment = "#ifdef USE_ENVMAP\n\tuniform float envMapIntensity;\n\tuniform float flipEnvMap;\n\tuniform int maxMipLevel;\n\t#ifdef ENVMAP_TYPE_CUBE\n\t\tuniform samplerCube envMap;\n\t#else\n\t\tuniform sampler2D envMap;\n\t#endif\n\t\n#endif";
- var envmap_pars_fragment = "#ifdef USE_ENVMAP\n\tuniform float reflectivity;\n\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG )\n\t\t#define ENV_WORLDPOS\n\t#endif\n\t#ifdef ENV_WORLDPOS\n\t\tvarying vec3 vWorldPosition;\n\t\tuniform float refractionRatio;\n\t#else\n\t\tvarying vec3 vReflect;\n\t#endif\n#endif";
- var envmap_pars_vertex = "#ifdef USE_ENVMAP\n\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) ||defined( PHONG )\n\t\t#define ENV_WORLDPOS\n\t#endif\n\t#ifdef ENV_WORLDPOS\n\t\t\n\t\tvarying vec3 vWorldPosition;\n\t#else\n\t\tvarying vec3 vReflect;\n\t\tuniform float refractionRatio;\n\t#endif\n#endif";
- var envmap_vertex = "#ifdef USE_ENVMAP\n\t#ifdef ENV_WORLDPOS\n\t\tvWorldPosition = worldPosition.xyz;\n\t#else\n\t\tvec3 cameraToVertex;\n\t\tif ( isOrthographic ) {\n\t\t\tcameraToVertex = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );\n\t\t} else {\n\t\t\tcameraToVertex = normalize( worldPosition.xyz - cameraPosition );\n\t\t}\n\t\tvec3 worldNormal = inverseTransformDirection( transformedNormal, viewMatrix );\n\t\t#ifdef ENVMAP_MODE_REFLECTION\n\t\t\tvReflect = reflect( cameraToVertex, worldNormal );\n\t\t#else\n\t\t\tvReflect = refract( cameraToVertex, worldNormal, refractionRatio );\n\t\t#endif\n\t#endif\n#endif";
- var fog_vertex = "#ifdef USE_FOG\n\tfogDepth = - mvPosition.z;\n#endif";
- var fog_pars_vertex = "#ifdef USE_FOG\n\tvarying float fogDepth;\n#endif";
- var fog_fragment = "#ifdef USE_FOG\n\t#ifdef FOG_EXP2\n\t\tfloat fogFactor = 1.0 - exp( - fogDensity * fogDensity * fogDepth * fogDepth );\n\t#else\n\t\tfloat fogFactor = smoothstep( fogNear, fogFar, fogDepth );\n\t#endif\n\tgl_FragColor.rgb = mix( gl_FragColor.rgb, fogColor, fogFactor );\n#endif";
- var fog_pars_fragment = "#ifdef USE_FOG\n\tuniform vec3 fogColor;\n\tvarying float fogDepth;\n\t#ifdef FOG_EXP2\n\t\tuniform float fogDensity;\n\t#else\n\t\tuniform float fogNear;\n\t\tuniform float fogFar;\n\t#endif\n#endif";
- var gradientmap_pars_fragment = "#ifdef USE_GRADIENTMAP\n\tuniform sampler2D gradientMap;\n#endif\nvec3 getGradientIrradiance( vec3 normal, vec3 lightDirection ) {\n\tfloat dotNL = dot( normal, lightDirection );\n\tvec2 coord = vec2( dotNL * 0.5 + 0.5, 0.0 );\n\t#ifdef USE_GRADIENTMAP\n\t\treturn texture2D( gradientMap, coord ).rgb;\n\t#else\n\t\treturn ( coord.x < 0.7 ) ? vec3( 0.7 ) : vec3( 1.0 );\n\t#endif\n}";
- var lightmap_fragment = "#ifdef USE_LIGHTMAP\n\tvec4 lightMapTexel= texture2D( lightMap, vUv2 );\n\treflectedLight.indirectDiffuse += PI * lightMapTexelToLinear( lightMapTexel ).rgb * lightMapIntensity;\n#endif";
- var lightmap_pars_fragment = "#ifdef USE_LIGHTMAP\n\tuniform sampler2D lightMap;\n\tuniform float lightMapIntensity;\n#endif";
- var lights_lambert_vertex = "vec3 diffuse = vec3( 1.0 );\nGeometricContext geometry;\ngeometry.position = mvPosition.xyz;\ngeometry.normal = normalize( transformedNormal );\ngeometry.viewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( -mvPosition.xyz );\nGeometricContext backGeometry;\nbackGeometry.position = geometry.position;\nbackGeometry.normal = -geometry.normal;\nbackGeometry.viewDir = geometry.viewDir;\nvLightFront = vec3( 0.0 );\nvIndirectFront = vec3( 0.0 );\n#ifdef DOUBLE_SIDED\n\tvLightBack = vec3( 0.0 );\n\tvIndirectBack = vec3( 0.0 );\n#endif\nIncidentLight directLight;\nfloat dotNL;\nvec3 directLightColor_Diffuse;\nvIndirectFront += getAmbientLightIrradiance( ambientLightColor );\nvIndirectFront += getLightProbeIrradiance( lightProbe, geometry );\n#ifdef DOUBLE_SIDED\n\tvIndirectBack += getAmbientLightIrradiance( ambientLightColor );\n\tvIndirectBack += getLightProbeIrradiance( lightProbe, backGeometry );\n#endif\n#if NUM_POINT_LIGHTS > 0\n\t#pragma unroll_loop_start\n\tfor ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {\n\t\tgetPointDirectLightIrradiance( pointLights[ i ], geometry, directLight );\n\t\tdotNL = dot( geometry.normal, directLight.direction );\n\t\tdirectLightColor_Diffuse = PI * directLight.color;\n\t\tvLightFront += saturate( dotNL ) * directLightColor_Diffuse;\n\t\t#ifdef DOUBLE_SIDED\n\t\t\tvLightBack += saturate( -dotNL ) * directLightColor_Diffuse;\n\t\t#endif\n\t}\n\t#pragma unroll_loop_end\n#endif\n#if NUM_SPOT_LIGHTS > 0\n\t#pragma unroll_loop_start\n\tfor ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {\n\t\tgetSpotDirectLightIrradiance( spotLights[ i ], geometry, directLight );\n\t\tdotNL = dot( geometry.normal, directLight.direction );\n\t\tdirectLightColor_Diffuse = PI * directLight.color;\n\t\tvLightFront += saturate( dotNL ) * directLightColor_Diffuse;\n\t\t#ifdef DOUBLE_SIDED\n\t\t\tvLightBack += saturate( -dotNL ) * directLightColor_Diffuse;\n\t\t#endif\n\t}\n\t#pragma unroll_loop_end\n#endif\n#if NUM_DIR_LIGHTS > 0\n\t#pragma unroll_loop_start\n\tfor ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {\n\t\tgetDirectionalDirectLightIrradiance( directionalLights[ i ], geometry, directLight );\n\t\tdotNL = dot( geometry.normal, directLight.direction );\n\t\tdirectLightColor_Diffuse = PI * directLight.color;\n\t\tvLightFront += saturate( dotNL ) * directLightColor_Diffuse;\n\t\t#ifdef DOUBLE_SIDED\n\t\t\tvLightBack += saturate( -dotNL ) * directLightColor_Diffuse;\n\t\t#endif\n\t}\n\t#pragma unroll_loop_end\n#endif\n#if NUM_HEMI_LIGHTS > 0\n\t#pragma unroll_loop_start\n\tfor ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) {\n\t\tvIndirectFront += getHemisphereLightIrradiance( hemisphereLights[ i ], geometry );\n\t\t#ifdef DOUBLE_SIDED\n\t\t\tvIndirectBack += getHemisphereLightIrradiance( hemisphereLights[ i ], backGeometry );\n\t\t#endif\n\t}\n\t#pragma unroll_loop_end\n#endif";
- var lights_pars_begin = "uniform bool receiveShadow;\nuniform vec3 ambientLightColor;\nuniform vec3 lightProbe[ 9 ];\nvec3 shGetIrradianceAt( in vec3 normal, in vec3 shCoefficients[ 9 ] ) {\n\tfloat x = normal.x, y = normal.y, z = normal.z;\n\tvec3 result = shCoefficients[ 0 ] * 0.886227;\n\tresult += shCoefficients[ 1 ] * 2.0 * 0.511664 * y;\n\tresult += shCoefficients[ 2 ] * 2.0 * 0.511664 * z;\n\tresult += shCoefficients[ 3 ] * 2.0 * 0.511664 * x;\n\tresult += shCoefficients[ 4 ] * 2.0 * 0.429043 * x * y;\n\tresult += shCoefficients[ 5 ] * 2.0 * 0.429043 * y * z;\n\tresult += shCoefficients[ 6 ] * ( 0.743125 * z * z - 0.247708 );\n\tresult += shCoefficients[ 7 ] * 2.0 * 0.429043 * x * z;\n\tresult += shCoefficients[ 8 ] * 0.429043 * ( x * x - y * y );\n\treturn result;\n}\nvec3 getLightProbeIrradiance( const in vec3 lightProbe[ 9 ], const in GeometricContext geometry ) {\n\tvec3 worldNormal = inverseTransformDirection( geometry.normal, viewMatrix );\n\tvec3 irradiance = shGetIrradianceAt( worldNormal, lightProbe );\n\treturn irradiance;\n}\nvec3 getAmbientLightIrradiance( const in vec3 ambientLightColor ) {\n\tvec3 irradiance = ambientLightColor;\n\t#ifndef PHYSICALLY_CORRECT_LIGHTS\n\t\tirradiance *= PI;\n\t#endif\n\treturn irradiance;\n}\n#if NUM_DIR_LIGHTS > 0\n\tstruct DirectionalLight {\n\t\tvec3 direction;\n\t\tvec3 color;\n\t};\n\tuniform DirectionalLight directionalLights[ NUM_DIR_LIGHTS ];\n\tvoid getDirectionalDirectLightIrradiance( const in DirectionalLight directionalLight, const in GeometricContext geometry, out IncidentLight directLight ) {\n\t\tdirectLight.color = directionalLight.color;\n\t\tdirectLight.direction = directionalLight.direction;\n\t\tdirectLight.visible = true;\n\t}\n#endif\n#if NUM_POINT_LIGHTS > 0\n\tstruct PointLight {\n\t\tvec3 position;\n\t\tvec3 color;\n\t\tfloat distance;\n\t\tfloat decay;\n\t};\n\tuniform PointLight pointLights[ NUM_POINT_LIGHTS ];\n\tvoid getPointDirectLightIrradiance( const in PointLight pointLight, const in GeometricContext geometry, out IncidentLight directLight ) {\n\t\tvec3 lVector = pointLight.position - geometry.position;\n\t\tdirectLight.direction = normalize( lVector );\n\t\tfloat lightDistance = length( lVector );\n\t\tdirectLight.color = pointLight.color;\n\t\tdirectLight.color *= punctualLightIntensityToIrradianceFactor( lightDistance, pointLight.distance, pointLight.decay );\n\t\tdirectLight.visible = ( directLight.color != vec3( 0.0 ) );\n\t}\n#endif\n#if NUM_SPOT_LIGHTS > 0\n\tstruct SpotLight {\n\t\tvec3 position;\n\t\tvec3 direction;\n\t\tvec3 color;\n\t\tfloat distance;\n\t\tfloat decay;\n\t\tfloat coneCos;\n\t\tfloat penumbraCos;\n\t};\n\tuniform SpotLight spotLights[ NUM_SPOT_LIGHTS ];\n\tvoid getSpotDirectLightIrradiance( const in SpotLight spotLight, const in GeometricContext geometry, out IncidentLight directLight ) {\n\t\tvec3 lVector = spotLight.position - geometry.position;\n\t\tdirectLight.direction = normalize( lVector );\n\t\tfloat lightDistance = length( lVector );\n\t\tfloat angleCos = dot( directLight.direction, spotLight.direction );\n\t\tif ( angleCos > spotLight.coneCos ) {\n\t\t\tfloat spotEffect = smoothstep( spotLight.coneCos, spotLight.penumbraCos, angleCos );\n\t\t\tdirectLight.color = spotLight.color;\n\t\t\tdirectLight.color *= spotEffect * punctualLightIntensityToIrradianceFactor( lightDistance, spotLight.distance, spotLight.decay );\n\t\t\tdirectLight.visible = true;\n\t\t} else {\n\t\t\tdirectLight.color = vec3( 0.0 );\n\t\t\tdirectLight.visible = false;\n\t\t}\n\t}\n#endif\n#if NUM_RECT_AREA_LIGHTS > 0\n\tstruct RectAreaLight {\n\t\tvec3 color;\n\t\tvec3 position;\n\t\tvec3 halfWidth;\n\t\tvec3 halfHeight;\n\t};\n\tuniform sampler2D ltc_1;\tuniform sampler2D ltc_2;\n\tuniform RectAreaLight rectAreaLights[ NUM_RECT_AREA_LIGHTS ];\n#endif\n#if NUM_HEMI_LIGHTS > 0\n\tstruct HemisphereLight {\n\t\tvec3 direction;\n\t\tvec3 skyColor;\n\t\tvec3 groundColor;\n\t};\n\tuniform HemisphereLight hemisphereLights[ NUM_HEMI_LIGHTS ];\n\tvec3 getHemisphereLightIrradiance( const in HemisphereLight hemiLight, const in GeometricContext geometry ) {\n\t\tfloat dotNL = dot( geometry.normal, hemiLight.direction );\n\t\tfloat hemiDiffuseWeight = 0.5 * dotNL + 0.5;\n\t\tvec3 irradiance = mix( hemiLight.groundColor, hemiLight.skyColor, hemiDiffuseWeight );\n\t\t#ifndef PHYSICALLY_CORRECT_LIGHTS\n\t\t\tirradiance *= PI;\n\t\t#endif\n\t\treturn irradiance;\n\t}\n#endif";
- var envmap_physical_pars_fragment = "#if defined( USE_ENVMAP )\n\t#ifdef ENVMAP_MODE_REFRACTION\n\t\tuniform float refractionRatio;\n\t#endif\n\tvec3 getLightProbeIndirectIrradiance( const in GeometricContext geometry, const in int maxMIPLevel ) {\n\t\tvec3 worldNormal = inverseTransformDirection( geometry.normal, viewMatrix );\n\t\t#ifdef ENVMAP_TYPE_CUBE\n\t\t\tvec3 queryVec = vec3( flipEnvMap * worldNormal.x, worldNormal.yz );\n\t\t\t#ifdef TEXTURE_LOD_EXT\n\t\t\t\tvec4 envMapColor = textureCubeLodEXT( envMap, queryVec, float( maxMIPLevel ) );\n\t\t\t#else\n\t\t\t\tvec4 envMapColor = textureCube( envMap, queryVec, float( maxMIPLevel ) );\n\t\t\t#endif\n\t\t\tenvMapColor.rgb = envMapTexelToLinear( envMapColor ).rgb;\n\t\t#elif defined( ENVMAP_TYPE_CUBE_UV )\n\t\t\tvec4 envMapColor = textureCubeUV( envMap, worldNormal, 1.0 );\n\t\t#else\n\t\t\tvec4 envMapColor = vec4( 0.0 );\n\t\t#endif\n\t\treturn PI * envMapColor.rgb * envMapIntensity;\n\t}\n\tfloat getSpecularMIPLevel( const in float roughness, const in int maxMIPLevel ) {\n\t\tfloat maxMIPLevelScalar = float( maxMIPLevel );\n\t\tfloat sigma = PI * roughness * roughness / ( 1.0 + roughness );\n\t\tfloat desiredMIPLevel = maxMIPLevelScalar + log2( sigma );\n\t\treturn clamp( desiredMIPLevel, 0.0, maxMIPLevelScalar );\n\t}\n\tvec3 getLightProbeIndirectRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness, const in int maxMIPLevel ) {\n\t\t#ifdef ENVMAP_MODE_REFLECTION\n\t\t\tvec3 reflectVec = reflect( -viewDir, normal );\n\t\t\treflectVec = normalize( mix( reflectVec, normal, roughness * roughness) );\n\t\t#else\n\t\t\tvec3 reflectVec = refract( -viewDir, normal, refractionRatio );\n\t\t#endif\n\t\treflectVec = inverseTransformDirection( reflectVec, viewMatrix );\n\t\tfloat specularMIPLevel = getSpecularMIPLevel( roughness, maxMIPLevel );\n\t\t#ifdef ENVMAP_TYPE_CUBE\n\t\t\tvec3 queryReflectVec = vec3( flipEnvMap * reflectVec.x, reflectVec.yz );\n\t\t\t#ifdef TEXTURE_LOD_EXT\n\t\t\t\tvec4 envMapColor = textureCubeLodEXT( envMap, queryReflectVec, specularMIPLevel );\n\t\t\t#else\n\t\t\t\tvec4 envMapColor = textureCube( envMap, queryReflectVec, specularMIPLevel );\n\t\t\t#endif\n\t\t\tenvMapColor.rgb = envMapTexelToLinear( envMapColor ).rgb;\n\t\t#elif defined( ENVMAP_TYPE_CUBE_UV )\n\t\t\tvec4 envMapColor = textureCubeUV( envMap, reflectVec, roughness );\n\t\t#endif\n\t\treturn envMapColor.rgb * envMapIntensity;\n\t}\n#endif";
- var lights_toon_fragment = "ToonMaterial material;\nmaterial.diffuseColor = diffuseColor.rgb;";
- var lights_toon_pars_fragment = "varying vec3 vViewPosition;\n#ifndef FLAT_SHADED\n\tvarying vec3 vNormal;\n#endif\nstruct ToonMaterial {\n\tvec3 diffuseColor;\n};\nvoid RE_Direct_Toon( const in IncidentLight directLight, const in GeometricContext geometry, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {\n\tvec3 irradiance = getGradientIrradiance( geometry.normal, directLight.direction ) * directLight.color;\n\t#ifndef PHYSICALLY_CORRECT_LIGHTS\n\t\tirradiance *= PI;\n\t#endif\n\treflectedLight.directDiffuse += irradiance * BRDF_Diffuse_Lambert( material.diffuseColor );\n}\nvoid RE_IndirectDiffuse_Toon( const in vec3 irradiance, const in GeometricContext geometry, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {\n\treflectedLight.indirectDiffuse += irradiance * BRDF_Diffuse_Lambert( material.diffuseColor );\n}\n#define RE_Direct\t\t\t\tRE_Direct_Toon\n#define RE_IndirectDiffuse\t\tRE_IndirectDiffuse_Toon\n#define Material_LightProbeLOD( material )\t(0)";
- var lights_phong_fragment = "BlinnPhongMaterial material;\nmaterial.diffuseColor = diffuseColor.rgb;\nmaterial.specularColor = specular;\nmaterial.specularShininess = shininess;\nmaterial.specularStrength = specularStrength;";
- var lights_phong_pars_fragment = "varying vec3 vViewPosition;\n#ifndef FLAT_SHADED\n\tvarying vec3 vNormal;\n#endif\nstruct BlinnPhongMaterial {\n\tvec3 diffuseColor;\n\tvec3 specularColor;\n\tfloat specularShininess;\n\tfloat specularStrength;\n};\nvoid RE_Direct_BlinnPhong( const in IncidentLight directLight, const in GeometricContext geometry, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {\n\tfloat dotNL = saturate( dot( geometry.normal, directLight.direction ) );\n\tvec3 irradiance = dotNL * directLight.color;\n\t#ifndef PHYSICALLY_CORRECT_LIGHTS\n\t\tirradiance *= PI;\n\t#endif\n\treflectedLight.directDiffuse += irradiance * BRDF_Diffuse_Lambert( material.diffuseColor );\n\treflectedLight.directSpecular += irradiance * BRDF_Specular_BlinnPhong( directLight, geometry, material.specularColor, material.specularShininess ) * material.specularStrength;\n}\nvoid RE_IndirectDiffuse_BlinnPhong( const in vec3 irradiance, const in GeometricContext geometry, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {\n\treflectedLight.indirectDiffuse += irradiance * BRDF_Diffuse_Lambert( material.diffuseColor );\n}\n#define RE_Direct\t\t\t\tRE_Direct_BlinnPhong\n#define RE_IndirectDiffuse\t\tRE_IndirectDiffuse_BlinnPhong\n#define Material_LightProbeLOD( material )\t(0)";
- var lights_physical_fragment = "PhysicalMaterial material;\nmaterial.diffuseColor = diffuseColor.rgb * ( 1.0 - metalnessFactor );\nvec3 dxy = max( abs( dFdx( geometryNormal ) ), abs( dFdy( geometryNormal ) ) );\nfloat geometryRoughness = max( max( dxy.x, dxy.y ), dxy.z );\nmaterial.specularRoughness = max( roughnessFactor, 0.0525 );material.specularRoughness += geometryRoughness;\nmaterial.specularRoughness = min( material.specularRoughness, 1.0 );\n#ifdef REFLECTIVITY\n\tmaterial.specularColor = mix( vec3( MAXIMUM_SPECULAR_COEFFICIENT * pow2( reflectivity ) ), diffuseColor.rgb, metalnessFactor );\n#else\n\tmaterial.specularColor = mix( vec3( DEFAULT_SPECULAR_COEFFICIENT ), diffuseColor.rgb, metalnessFactor );\n#endif\n#ifdef CLEARCOAT\n\tmaterial.clearcoat = clearcoat;\n\tmaterial.clearcoatRoughness = clearcoatRoughness;\n\t#ifdef USE_CLEARCOATMAP\n\t\tmaterial.clearcoat *= texture2D( clearcoatMap, vUv ).x;\n\t#endif\n\t#ifdef USE_CLEARCOAT_ROUGHNESSMAP\n\t\tmaterial.clearcoatRoughness *= texture2D( clearcoatRoughnessMap, vUv ).y;\n\t#endif\n\tmaterial.clearcoat = saturate( material.clearcoat );\tmaterial.clearcoatRoughness = max( material.clearcoatRoughness, 0.0525 );\n\tmaterial.clearcoatRoughness += geometryRoughness;\n\tmaterial.clearcoatRoughness = min( material.clearcoatRoughness, 1.0 );\n#endif\n#ifdef USE_SHEEN\n\tmaterial.sheenColor = sheen;\n#endif";
- var lights_physical_pars_fragment = "struct PhysicalMaterial {\n\tvec3 diffuseColor;\n\tfloat specularRoughness;\n\tvec3 specularColor;\n#ifdef CLEARCOAT\n\tfloat clearcoat;\n\tfloat clearcoatRoughness;\n#endif\n#ifdef USE_SHEEN\n\tvec3 sheenColor;\n#endif\n};\n#define MAXIMUM_SPECULAR_COEFFICIENT 0.16\n#define DEFAULT_SPECULAR_COEFFICIENT 0.04\nfloat clearcoatDHRApprox( const in float roughness, const in float dotNL ) {\n\treturn DEFAULT_SPECULAR_COEFFICIENT + ( 1.0 - DEFAULT_SPECULAR_COEFFICIENT ) * ( pow( 1.0 - dotNL, 5.0 ) * pow( 1.0 - roughness, 2.0 ) );\n}\n#if NUM_RECT_AREA_LIGHTS > 0\n\tvoid RE_Direct_RectArea_Physical( const in RectAreaLight rectAreaLight, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\n\t\tvec3 normal = geometry.normal;\n\t\tvec3 viewDir = geometry.viewDir;\n\t\tvec3 position = geometry.position;\n\t\tvec3 lightPos = rectAreaLight.position;\n\t\tvec3 halfWidth = rectAreaLight.halfWidth;\n\t\tvec3 halfHeight = rectAreaLight.halfHeight;\n\t\tvec3 lightColor = rectAreaLight.color;\n\t\tfloat roughness = material.specularRoughness;\n\t\tvec3 rectCoords[ 4 ];\n\t\trectCoords[ 0 ] = lightPos + halfWidth - halfHeight;\t\trectCoords[ 1 ] = lightPos - halfWidth - halfHeight;\n\t\trectCoords[ 2 ] = lightPos - halfWidth + halfHeight;\n\t\trectCoords[ 3 ] = lightPos + halfWidth + halfHeight;\n\t\tvec2 uv = LTC_Uv( normal, viewDir, roughness );\n\t\tvec4 t1 = texture2D( ltc_1, uv );\n\t\tvec4 t2 = texture2D( ltc_2, uv );\n\t\tmat3 mInv = mat3(\n\t\t\tvec3( t1.x, 0, t1.y ),\n\t\t\tvec3( 0, 1, 0 ),\n\t\t\tvec3( t1.z, 0, t1.w )\n\t\t);\n\t\tvec3 fresnel = ( material.specularColor * t2.x + ( vec3( 1.0 ) - material.specularColor ) * t2.y );\n\t\treflectedLight.directSpecular += lightColor * fresnel * LTC_Evaluate( normal, viewDir, position, mInv, rectCoords );\n\t\treflectedLight.directDiffuse += lightColor * material.diffuseColor * LTC_Evaluate( normal, viewDir, position, mat3( 1.0 ), rectCoords );\n\t}\n#endif\nvoid RE_Direct_Physical( const in IncidentLight directLight, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\n\tfloat dotNL = saturate( dot( geometry.normal, directLight.direction ) );\n\tvec3 irradiance = dotNL * directLight.color;\n\t#ifndef PHYSICALLY_CORRECT_LIGHTS\n\t\tirradiance *= PI;\n\t#endif\n\t#ifdef CLEARCOAT\n\t\tfloat ccDotNL = saturate( dot( geometry.clearcoatNormal, directLight.direction ) );\n\t\tvec3 ccIrradiance = ccDotNL * directLight.color;\n\t\t#ifndef PHYSICALLY_CORRECT_LIGHTS\n\t\t\tccIrradiance *= PI;\n\t\t#endif\n\t\tfloat clearcoatDHR = material.clearcoat * clearcoatDHRApprox( material.clearcoatRoughness, ccDotNL );\n\t\treflectedLight.directSpecular += ccIrradiance * material.clearcoat * BRDF_Specular_GGX( directLight, geometry.viewDir, geometry.clearcoatNormal, vec3( DEFAULT_SPECULAR_COEFFICIENT ), material.clearcoatRoughness );\n\t#else\n\t\tfloat clearcoatDHR = 0.0;\n\t#endif\n\t#ifdef USE_SHEEN\n\t\treflectedLight.directSpecular += ( 1.0 - clearcoatDHR ) * irradiance * BRDF_Specular_Sheen(\n\t\t\tmaterial.specularRoughness,\n\t\t\tdirectLight.direction,\n\t\t\tgeometry,\n\t\t\tmaterial.sheenColor\n\t\t);\n\t#else\n\t\treflectedLight.directSpecular += ( 1.0 - clearcoatDHR ) * irradiance * BRDF_Specular_GGX( directLight, geometry.viewDir, geometry.normal, material.specularColor, material.specularRoughness);\n\t#endif\n\treflectedLight.directDiffuse += ( 1.0 - clearcoatDHR ) * irradiance * BRDF_Diffuse_Lambert( material.diffuseColor );\n}\nvoid RE_IndirectDiffuse_Physical( const in vec3 irradiance, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\n\treflectedLight.indirectDiffuse += irradiance * BRDF_Diffuse_Lambert( material.diffuseColor );\n}\nvoid RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 irradiance, const in vec3 clearcoatRadiance, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) {\n\t#ifdef CLEARCOAT\n\t\tfloat ccDotNV = saturate( dot( geometry.clearcoatNormal, geometry.viewDir ) );\n\t\treflectedLight.indirectSpecular += clearcoatRadiance * material.clearcoat * BRDF_Specular_GGX_Environment( geometry.viewDir, geometry.clearcoatNormal, vec3( DEFAULT_SPECULAR_COEFFICIENT ), material.clearcoatRoughness );\n\t\tfloat ccDotNL = ccDotNV;\n\t\tfloat clearcoatDHR = material.clearcoat * clearcoatDHRApprox( material.clearcoatRoughness, ccDotNL );\n\t#else\n\t\tfloat clearcoatDHR = 0.0;\n\t#endif\n\tfloat clearcoatInv = 1.0 - clearcoatDHR;\n\tvec3 singleScattering = vec3( 0.0 );\n\tvec3 multiScattering = vec3( 0.0 );\n\tvec3 cosineWeightedIrradiance = irradiance * RECIPROCAL_PI;\n\tBRDF_Specular_Multiscattering_Environment( geometry, material.specularColor, material.specularRoughness, singleScattering, multiScattering );\n\tvec3 diffuse = material.diffuseColor * ( 1.0 - ( singleScattering + multiScattering ) );\n\treflectedLight.indirectSpecular += clearcoatInv * radiance * singleScattering;\n\treflectedLight.indirectSpecular += multiScattering * cosineWeightedIrradiance;\n\treflectedLight.indirectDiffuse += diffuse * cosineWeightedIrradiance;\n}\n#define RE_Direct\t\t\t\tRE_Direct_Physical\n#define RE_Direct_RectArea\t\tRE_Direct_RectArea_Physical\n#define RE_IndirectDiffuse\t\tRE_IndirectDiffuse_Physical\n#define RE_IndirectSpecular\t\tRE_IndirectSpecular_Physical\nfloat computeSpecularOcclusion( const in float dotNV, const in float ambientOcclusion, const in float roughness ) {\n\treturn saturate( pow( dotNV + ambientOcclusion, exp2( - 16.0 * roughness - 1.0 ) ) - 1.0 + ambientOcclusion );\n}";
- var lights_fragment_begin = "\nGeometricContext geometry;\ngeometry.position = - vViewPosition;\ngeometry.normal = normal;\ngeometry.viewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( vViewPosition );\n#ifdef CLEARCOAT\n\tgeometry.clearcoatNormal = clearcoatNormal;\n#endif\nIncidentLight directLight;\n#if ( NUM_POINT_LIGHTS > 0 ) && defined( RE_Direct )\n\tPointLight pointLight;\n\t#if defined( USE_SHADOWMAP ) && NUM_POINT_LIGHT_SHADOWS > 0\n\tPointLightShadow pointLightShadow;\n\t#endif\n\t#pragma unroll_loop_start\n\tfor ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {\n\t\tpointLight = pointLights[ i ];\n\t\tgetPointDirectLightIrradiance( pointLight, geometry, directLight );\n\t\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_POINT_LIGHT_SHADOWS )\n\t\tpointLightShadow = pointLightShadows[ i ];\n\t\tdirectLight.color *= all( bvec2( directLight.visible, receiveShadow ) ) ? getPointShadow( pointShadowMap[ i ], pointLightShadow.shadowMapSize, pointLightShadow.shadowBias, pointLightShadow.shadowRadius, vPointShadowCoord[ i ], pointLightShadow.shadowCameraNear, pointLightShadow.shadowCameraFar ) : 1.0;\n\t\t#endif\n\t\tRE_Direct( directLight, geometry, material, reflectedLight );\n\t}\n\t#pragma unroll_loop_end\n#endif\n#if ( NUM_SPOT_LIGHTS > 0 ) && defined( RE_Direct )\n\tSpotLight spotLight;\n\t#if defined( USE_SHADOWMAP ) && NUM_SPOT_LIGHT_SHADOWS > 0\n\tSpotLightShadow spotLightShadow;\n\t#endif\n\t#pragma unroll_loop_start\n\tfor ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {\n\t\tspotLight = spotLights[ i ];\n\t\tgetSpotDirectLightIrradiance( spotLight, geometry, directLight );\n\t\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )\n\t\tspotLightShadow = spotLightShadows[ i ];\n\t\tdirectLight.color *= all( bvec2( directLight.visible, receiveShadow ) ) ? getShadow( spotShadowMap[ i ], spotLightShadow.shadowMapSize, spotLightShadow.shadowBias, spotLightShadow.shadowRadius, vSpotShadowCoord[ i ] ) : 1.0;\n\t\t#endif\n\t\tRE_Direct( directLight, geometry, material, reflectedLight );\n\t}\n\t#pragma unroll_loop_end\n#endif\n#if ( NUM_DIR_LIGHTS > 0 ) && defined( RE_Direct )\n\tDirectionalLight directionalLight;\n\t#if defined( USE_SHADOWMAP ) && NUM_DIR_LIGHT_SHADOWS > 0\n\tDirectionalLightShadow directionalLightShadow;\n\t#endif\n\t#pragma unroll_loop_start\n\tfor ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {\n\t\tdirectionalLight = directionalLights[ i ];\n\t\tgetDirectionalDirectLightIrradiance( directionalLight, geometry, directLight );\n\t\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_DIR_LIGHT_SHADOWS )\n\t\tdirectionalLightShadow = directionalLightShadows[ i ];\n\t\tdirectLight.color *= all( bvec2( directLight.visible, receiveShadow ) ) ? getShadow( directionalShadowMap[ i ], directionalLightShadow.shadowMapSize, directionalLightShadow.shadowBias, directionalLightShadow.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;\n\t\t#endif\n\t\tRE_Direct( directLight, geometry, material, reflectedLight );\n\t}\n\t#pragma unroll_loop_end\n#endif\n#if ( NUM_RECT_AREA_LIGHTS > 0 ) && defined( RE_Direct_RectArea )\n\tRectAreaLight rectAreaLight;\n\t#pragma unroll_loop_start\n\tfor ( int i = 0; i < NUM_RECT_AREA_LIGHTS; i ++ ) {\n\t\trectAreaLight = rectAreaLights[ i ];\n\t\tRE_Direct_RectArea( rectAreaLight, geometry, material, reflectedLight );\n\t}\n\t#pragma unroll_loop_end\n#endif\n#if defined( RE_IndirectDiffuse )\n\tvec3 iblIrradiance = vec3( 0.0 );\n\tvec3 irradiance = getAmbientLightIrradiance( ambientLightColor );\n\tirradiance += getLightProbeIrradiance( lightProbe, geometry );\n\t#if ( NUM_HEMI_LIGHTS > 0 )\n\t\t#pragma unroll_loop_start\n\t\tfor ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) {\n\t\t\tirradiance += getHemisphereLightIrradiance( hemisphereLights[ i ], geometry );\n\t\t}\n\t\t#pragma unroll_loop_end\n\t#endif\n#endif\n#if defined( RE_IndirectSpecular )\n\tvec3 radiance = vec3( 0.0 );\n\tvec3 clearcoatRadiance = vec3( 0.0 );\n#endif";
- var lights_fragment_maps = "#if defined( RE_IndirectDiffuse )\n\t#ifdef USE_LIGHTMAP\n\t\tvec4 lightMapTexel= texture2D( lightMap, vUv2 );\n\t\tvec3 lightMapIrradiance = lightMapTexelToLinear( lightMapTexel ).rgb * lightMapIntensity;\n\t\t#ifndef PHYSICALLY_CORRECT_LIGHTS\n\t\t\tlightMapIrradiance *= PI;\n\t\t#endif\n\t\tirradiance += lightMapIrradiance;\n\t#endif\n\t#if defined( USE_ENVMAP ) && defined( STANDARD ) && defined( ENVMAP_TYPE_CUBE_UV )\n\t\tiblIrradiance += getLightProbeIndirectIrradiance( geometry, maxMipLevel );\n\t#endif\n#endif\n#if defined( USE_ENVMAP ) && defined( RE_IndirectSpecular )\n\tradiance += getLightProbeIndirectRadiance( geometry.viewDir, geometry.normal, material.specularRoughness, maxMipLevel );\n\t#ifdef CLEARCOAT\n\t\tclearcoatRadiance += getLightProbeIndirectRadiance( geometry.viewDir, geometry.clearcoatNormal, material.clearcoatRoughness, maxMipLevel );\n\t#endif\n#endif";
- var lights_fragment_end = "#if defined( RE_IndirectDiffuse )\n\tRE_IndirectDiffuse( irradiance, geometry, material, reflectedLight );\n#endif\n#if defined( RE_IndirectSpecular )\n\tRE_IndirectSpecular( radiance, iblIrradiance, clearcoatRadiance, geometry, material, reflectedLight );\n#endif";
- var logdepthbuf_fragment = "#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )\n\tgl_FragDepthEXT = vIsPerspective == 0.0 ? gl_FragCoord.z : log2( vFragDepth ) * logDepthBufFC * 0.5;\n#endif";
- var logdepthbuf_pars_fragment = "#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )\n\tuniform float logDepthBufFC;\n\tvarying float vFragDepth;\n\tvarying float vIsPerspective;\n#endif";
- var logdepthbuf_pars_vertex = "#ifdef USE_LOGDEPTHBUF\n\t#ifdef USE_LOGDEPTHBUF_EXT\n\t\tvarying float vFragDepth;\n\t\tvarying float vIsPerspective;\n\t#else\n\t\tuniform float logDepthBufFC;\n\t#endif\n#endif";
- var logdepthbuf_vertex = "#ifdef USE_LOGDEPTHBUF\n\t#ifdef USE_LOGDEPTHBUF_EXT\n\t\tvFragDepth = 1.0 + gl_Position.w;\n\t\tvIsPerspective = float( isPerspectiveMatrix( projectionMatrix ) );\n\t#else\n\t\tif ( isPerspectiveMatrix( projectionMatrix ) ) {\n\t\t\tgl_Position.z = log2( max( EPSILON, gl_Position.w + 1.0 ) ) * logDepthBufFC - 1.0;\n\t\t\tgl_Position.z *= gl_Position.w;\n\t\t}\n\t#endif\n#endif";
- var map_fragment = "#ifdef USE_MAP\n\tvec4 texelColor = texture2D( map, vUv );\n\ttexelColor = mapTexelToLinear( texelColor );\n\tdiffuseColor *= texelColor;\n#endif";
- var map_pars_fragment = "#ifdef USE_MAP\n\tuniform sampler2D map;\n#endif";
- var map_particle_fragment = "#if defined( USE_MAP ) || defined( USE_ALPHAMAP )\n\tvec2 uv = ( uvTransform * vec3( gl_PointCoord.x, 1.0 - gl_PointCoord.y, 1 ) ).xy;\n#endif\n#ifdef USE_MAP\n\tvec4 mapTexel = texture2D( map, uv );\n\tdiffuseColor *= mapTexelToLinear( mapTexel );\n#endif\n#ifdef USE_ALPHAMAP\n\tdiffuseColor.a *= texture2D( alphaMap, uv ).g;\n#endif";
- var map_particle_pars_fragment = "#if defined( USE_MAP ) || defined( USE_ALPHAMAP )\n\tuniform mat3 uvTransform;\n#endif\n#ifdef USE_MAP\n\tuniform sampler2D map;\n#endif\n#ifdef USE_ALPHAMAP\n\tuniform sampler2D alphaMap;\n#endif";
- var metalnessmap_fragment = "float metalnessFactor = metalness;\n#ifdef USE_METALNESSMAP\n\tvec4 texelMetalness = texture2D( metalnessMap, vUv );\n\tmetalnessFactor *= texelMetalness.b;\n#endif";
- var metalnessmap_pars_fragment = "#ifdef USE_METALNESSMAP\n\tuniform sampler2D metalnessMap;\n#endif";
- var morphnormal_vertex = "#ifdef USE_MORPHNORMALS\n\tobjectNormal *= morphTargetBaseInfluence;\n\tobjectNormal += morphNormal0 * morphTargetInfluences[ 0 ];\n\tobjectNormal += morphNormal1 * morphTargetInfluences[ 1 ];\n\tobjectNormal += morphNormal2 * morphTargetInfluences[ 2 ];\n\tobjectNormal += morphNormal3 * morphTargetInfluences[ 3 ];\n#endif";
- var morphtarget_pars_vertex = "#ifdef USE_MORPHTARGETS\n\tuniform float morphTargetBaseInfluence;\n\t#ifndef USE_MORPHNORMALS\n\t\tuniform float morphTargetInfluences[ 8 ];\n\t#else\n\t\tuniform float morphTargetInfluences[ 4 ];\n\t#endif\n#endif";
- var morphtarget_vertex = "#ifdef USE_MORPHTARGETS\n\ttransformed *= morphTargetBaseInfluence;\n\ttransformed += morphTarget0 * morphTargetInfluences[ 0 ];\n\ttransformed += morphTarget1 * morphTargetInfluences[ 1 ];\n\ttransformed += morphTarget2 * morphTargetInfluences[ 2 ];\n\ttransformed += morphTarget3 * morphTargetInfluences[ 3 ];\n\t#ifndef USE_MORPHNORMALS\n\t\ttransformed += morphTarget4 * morphTargetInfluences[ 4 ];\n\t\ttransformed += morphTarget5 * morphTargetInfluences[ 5 ];\n\t\ttransformed += morphTarget6 * morphTargetInfluences[ 6 ];\n\t\ttransformed += morphTarget7 * morphTargetInfluences[ 7 ];\n\t#endif\n#endif";
- var normal_fragment_begin = "#ifdef FLAT_SHADED\n\tvec3 fdx = vec3( dFdx( vViewPosition.x ), dFdx( vViewPosition.y ), dFdx( vViewPosition.z ) );\n\tvec3 fdy = vec3( dFdy( vViewPosition.x ), dFdy( vViewPosition.y ), dFdy( vViewPosition.z ) );\n\tvec3 normal = normalize( cross( fdx, fdy ) );\n#else\n\tvec3 normal = normalize( vNormal );\n\t#ifdef DOUBLE_SIDED\n\t\tnormal = normal * ( float( gl_FrontFacing ) * 2.0 - 1.0 );\n\t#endif\n\t#ifdef USE_TANGENT\n\t\tvec3 tangent = normalize( vTangent );\n\t\tvec3 bitangent = normalize( vBitangent );\n\t\t#ifdef DOUBLE_SIDED\n\t\t\ttangent = tangent * ( float( gl_FrontFacing ) * 2.0 - 1.0 );\n\t\t\tbitangent = bitangent * ( float( gl_FrontFacing ) * 2.0 - 1.0 );\n\t\t#endif\n\t\t#if defined( TANGENTSPACE_NORMALMAP ) || defined( USE_CLEARCOAT_NORMALMAP )\n\t\t\tmat3 vTBN = mat3( tangent, bitangent, normal );\n\t\t#endif\n\t#endif\n#endif\nvec3 geometryNormal = normal;";
- var normal_fragment_maps = "#ifdef OBJECTSPACE_NORMALMAP\n\tnormal = texture2D( normalMap, vUv ).xyz * 2.0 - 1.0;\n\t#ifdef FLIP_SIDED\n\t\tnormal = - normal;\n\t#endif\n\t#ifdef DOUBLE_SIDED\n\t\tnormal = normal * ( float( gl_FrontFacing ) * 2.0 - 1.0 );\n\t#endif\n\tnormal = normalize( normalMatrix * normal );\n#elif defined( TANGENTSPACE_NORMALMAP )\n\tvec3 mapN = texture2D( normalMap, vUv ).xyz * 2.0 - 1.0;\n\tmapN.xy *= normalScale;\n\t#ifdef USE_TANGENT\n\t\tnormal = normalize( vTBN * mapN );\n\t#else\n\t\tnormal = perturbNormal2Arb( -vViewPosition, normal, mapN );\n\t#endif\n#elif defined( USE_BUMPMAP )\n\tnormal = perturbNormalArb( -vViewPosition, normal, dHdxy_fwd() );\n#endif";
- var normalmap_pars_fragment = "#ifdef USE_NORMALMAP\n\tuniform sampler2D normalMap;\n\tuniform vec2 normalScale;\n#endif\n#ifdef OBJECTSPACE_NORMALMAP\n\tuniform mat3 normalMatrix;\n#endif\n#if ! defined ( USE_TANGENT ) && ( defined ( TANGENTSPACE_NORMALMAP ) || defined ( USE_CLEARCOAT_NORMALMAP ) )\n\tvec3 perturbNormal2Arb( vec3 eye_pos, vec3 surf_norm, vec3 mapN ) {\n\t\tvec3 q0 = vec3( dFdx( eye_pos.x ), dFdx( eye_pos.y ), dFdx( eye_pos.z ) );\n\t\tvec3 q1 = vec3( dFdy( eye_pos.x ), dFdy( eye_pos.y ), dFdy( eye_pos.z ) );\n\t\tvec2 st0 = dFdx( vUv.st );\n\t\tvec2 st1 = dFdy( vUv.st );\n\t\tfloat scale = sign( st1.t * st0.s - st0.t * st1.s );\n\t\tvec3 S = normalize( ( q0 * st1.t - q1 * st0.t ) * scale );\n\t\tvec3 T = normalize( ( - q0 * st1.s + q1 * st0.s ) * scale );\n\t\tvec3 N = normalize( surf_norm );\n\t\tmat3 tsn = mat3( S, T, N );\n\t\tmapN.xy *= ( float( gl_FrontFacing ) * 2.0 - 1.0 );\n\t\treturn normalize( tsn * mapN );\n\t}\n#endif";
- var clearcoat_normal_fragment_begin = "#ifdef CLEARCOAT\n\tvec3 clearcoatNormal = geometryNormal;\n#endif";
- var clearcoat_normal_fragment_maps = "#ifdef USE_CLEARCOAT_NORMALMAP\n\tvec3 clearcoatMapN = texture2D( clearcoatNormalMap, vUv ).xyz * 2.0 - 1.0;\n\tclearcoatMapN.xy *= clearcoatNormalScale;\n\t#ifdef USE_TANGENT\n\t\tclearcoatNormal = normalize( vTBN * clearcoatMapN );\n\t#else\n\t\tclearcoatNormal = perturbNormal2Arb( - vViewPosition, clearcoatNormal, clearcoatMapN );\n\t#endif\n#endif";
- var clearcoat_pars_fragment = "#ifdef USE_CLEARCOATMAP\n\tuniform sampler2D clearcoatMap;\n#endif\n#ifdef USE_CLEARCOAT_ROUGHNESSMAP\n\tuniform sampler2D clearcoatRoughnessMap;\n#endif\n#ifdef USE_CLEARCOAT_NORMALMAP\n\tuniform sampler2D clearcoatNormalMap;\n\tuniform vec2 clearcoatNormalScale;\n#endif";
- var packing = "vec3 packNormalToRGB( const in vec3 normal ) {\n\treturn normalize( normal ) * 0.5 + 0.5;\n}\nvec3 unpackRGBToNormal( const in vec3 rgb ) {\n\treturn 2.0 * rgb.xyz - 1.0;\n}\nconst float PackUpscale = 256. / 255.;const float UnpackDownscale = 255. / 256.;\nconst vec3 PackFactors = vec3( 256. * 256. * 256., 256. * 256., 256. );\nconst vec4 UnpackFactors = UnpackDownscale / vec4( PackFactors, 1. );\nconst float ShiftRight8 = 1. / 256.;\nvec4 packDepthToRGBA( const in float v ) {\n\tvec4 r = vec4( fract( v * PackFactors ), v );\n\tr.yzw -= r.xyz * ShiftRight8;\treturn r * PackUpscale;\n}\nfloat unpackRGBAToDepth( const in vec4 v ) {\n\treturn dot( v, UnpackFactors );\n}\nvec4 pack2HalfToRGBA( vec2 v ) {\n\tvec4 r = vec4( v.x, fract( v.x * 255.0 ), v.y, fract( v.y * 255.0 ));\n\treturn vec4( r.x - r.y / 255.0, r.y, r.z - r.w / 255.0, r.w);\n}\nvec2 unpackRGBATo2Half( vec4 v ) {\n\treturn vec2( v.x + ( v.y / 255.0 ), v.z + ( v.w / 255.0 ) );\n}\nfloat viewZToOrthographicDepth( const in float viewZ, const in float near, const in float far ) {\n\treturn ( viewZ + near ) / ( near - far );\n}\nfloat orthographicDepthToViewZ( const in float linearClipZ, const in float near, const in float far ) {\n\treturn linearClipZ * ( near - far ) - near;\n}\nfloat viewZToPerspectiveDepth( const in float viewZ, const in float near, const in float far ) {\n\treturn (( near + viewZ ) * far ) / (( far - near ) * viewZ );\n}\nfloat perspectiveDepthToViewZ( const in float invClipZ, const in float near, const in float far ) {\n\treturn ( near * far ) / ( ( far - near ) * invClipZ - far );\n}";
- var premultiplied_alpha_fragment = "#ifdef PREMULTIPLIED_ALPHA\n\tgl_FragColor.rgb *= gl_FragColor.a;\n#endif";
- var project_vertex = "vec4 mvPosition = vec4( transformed, 1.0 );\n#ifdef USE_INSTANCING\n\tmvPosition = instanceMatrix * mvPosition;\n#endif\nmvPosition = modelViewMatrix * mvPosition;\ngl_Position = projectionMatrix * mvPosition;";
- var dithering_fragment = "#ifdef DITHERING\n\tgl_FragColor.rgb = dithering( gl_FragColor.rgb );\n#endif";
- var dithering_pars_fragment = "#ifdef DITHERING\n\tvec3 dithering( vec3 color ) {\n\t\tfloat grid_position = rand( gl_FragCoord.xy );\n\t\tvec3 dither_shift_RGB = vec3( 0.25 / 255.0, -0.25 / 255.0, 0.25 / 255.0 );\n\t\tdither_shift_RGB = mix( 2.0 * dither_shift_RGB, -2.0 * dither_shift_RGB, grid_position );\n\t\treturn color + dither_shift_RGB;\n\t}\n#endif";
- var roughnessmap_fragment = "float roughnessFactor = roughness;\n#ifdef USE_ROUGHNESSMAP\n\tvec4 texelRoughness = texture2D( roughnessMap, vUv );\n\troughnessFactor *= texelRoughness.g;\n#endif";
- var roughnessmap_pars_fragment = "#ifdef USE_ROUGHNESSMAP\n\tuniform sampler2D roughnessMap;\n#endif";
- var shadowmap_pars_fragment = "#ifdef USE_SHADOWMAP\n\t#if NUM_DIR_LIGHT_SHADOWS > 0\n\t\tuniform sampler2D directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ];\n\t\tvarying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];\n\t\tstruct DirectionalLightShadow {\n\t\t\tfloat shadowBias;\n\t\t\tfloat shadowNormalBias;\n\t\t\tfloat shadowRadius;\n\t\t\tvec2 shadowMapSize;\n\t\t};\n\t\tuniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];\n\t#endif\n\t#if NUM_SPOT_LIGHT_SHADOWS > 0\n\t\tuniform sampler2D spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ];\n\t\tvarying vec4 vSpotShadowCoord[ NUM_SPOT_LIGHT_SHADOWS ];\n\t\tstruct SpotLightShadow {\n\t\t\tfloat shadowBias;\n\t\t\tfloat shadowNormalBias;\n\t\t\tfloat shadowRadius;\n\t\t\tvec2 shadowMapSize;\n\t\t};\n\t\tuniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];\n\t#endif\n\t#if NUM_POINT_LIGHT_SHADOWS > 0\n\t\tuniform sampler2D pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ];\n\t\tvarying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];\n\t\tstruct PointLightShadow {\n\t\t\tfloat shadowBias;\n\t\t\tfloat shadowNormalBias;\n\t\t\tfloat shadowRadius;\n\t\t\tvec2 shadowMapSize;\n\t\t\tfloat shadowCameraNear;\n\t\t\tfloat shadowCameraFar;\n\t\t};\n\t\tuniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];\n\t#endif\n\tfloat texture2DCompare( sampler2D depths, vec2 uv, float compare ) {\n\t\treturn step( compare, unpackRGBAToDepth( texture2D( depths, uv ) ) );\n\t}\n\tvec2 texture2DDistribution( sampler2D shadow, vec2 uv ) {\n\t\treturn unpackRGBATo2Half( texture2D( shadow, uv ) );\n\t}\n\tfloat VSMShadow (sampler2D shadow, vec2 uv, float compare ){\n\t\tfloat occlusion = 1.0;\n\t\tvec2 distribution = texture2DDistribution( shadow, uv );\n\t\tfloat hard_shadow = step( compare , distribution.x );\n\t\tif (hard_shadow != 1.0 ) {\n\t\t\tfloat distance = compare - distribution.x ;\n\t\t\tfloat variance = max( 0.00000, distribution.y * distribution.y );\n\t\t\tfloat softness_probability = variance / (variance + distance * distance );\t\t\tsoftness_probability = clamp( ( softness_probability - 0.3 ) / ( 0.95 - 0.3 ), 0.0, 1.0 );\t\t\tocclusion = clamp( max( hard_shadow, softness_probability ), 0.0, 1.0 );\n\t\t}\n\t\treturn occlusion;\n\t}\n\tfloat getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord ) {\n\t\tfloat shadow = 1.0;\n\t\tshadowCoord.xyz /= shadowCoord.w;\n\t\tshadowCoord.z += shadowBias;\n\t\tbvec4 inFrustumVec = bvec4 ( shadowCoord.x >= 0.0, shadowCoord.x <= 1.0, shadowCoord.y >= 0.0, shadowCoord.y <= 1.0 );\n\t\tbool inFrustum = all( inFrustumVec );\n\t\tbvec2 frustumTestVec = bvec2( inFrustum, shadowCoord.z <= 1.0 );\n\t\tbool frustumTest = all( frustumTestVec );\n\t\tif ( frustumTest ) {\n\t\t#if defined( SHADOWMAP_TYPE_PCF )\n\t\t\tvec2 texelSize = vec2( 1.0 ) / shadowMapSize;\n\t\t\tfloat dx0 = - texelSize.x * shadowRadius;\n\t\t\tfloat dy0 = - texelSize.y * shadowRadius;\n\t\t\tfloat dx1 = + texelSize.x * shadowRadius;\n\t\t\tfloat dy1 = + texelSize.y * shadowRadius;\n\t\t\tfloat dx2 = dx0 / 2.0;\n\t\t\tfloat dy2 = dy0 / 2.0;\n\t\t\tfloat dx3 = dx1 / 2.0;\n\t\t\tfloat dy3 = dy1 / 2.0;\n\t\t\tshadow = (\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy0 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy0 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy0 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy2 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy2 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy2 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, 0.0 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, 0.0 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, 0.0 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, 0.0 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy3 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy3 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy3 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy1 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy1 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy1 ), shadowCoord.z )\n\t\t\t) * ( 1.0 / 17.0 );\n\t\t#elif defined( SHADOWMAP_TYPE_PCF_SOFT )\n\t\t\tvec2 texelSize = vec2( 1.0 ) / shadowMapSize;\n\t\t\tfloat dx = texelSize.x;\n\t\t\tfloat dy = texelSize.y;\n\t\t\tvec2 uv = shadowCoord.xy;\n\t\t\tvec2 f = fract( uv * shadowMapSize + 0.5 );\n\t\t\tuv -= f * texelSize;\n\t\t\tshadow = (\n\t\t\t\ttexture2DCompare( shadowMap, uv, shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, uv + vec2( dx, 0.0 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, uv + vec2( 0.0, dy ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, uv + texelSize, shadowCoord.z ) +\n\t\t\t\tmix( texture2DCompare( shadowMap, uv + vec2( -dx, 0.0 ), shadowCoord.z ), \n\t\t\t\t\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 0.0 ), shadowCoord.z ),\n\t\t\t\t\t f.x ) +\n\t\t\t\tmix( texture2DCompare( shadowMap, uv + vec2( -dx, dy ), shadowCoord.z ), \n\t\t\t\t\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, dy ), shadowCoord.z ),\n\t\t\t\t\t f.x ) +\n\t\t\t\tmix( texture2DCompare( shadowMap, uv + vec2( 0.0, -dy ), shadowCoord.z ), \n\t\t\t\t\t texture2DCompare( shadowMap, uv + vec2( 0.0, 2.0 * dy ), shadowCoord.z ),\n\t\t\t\t\t f.y ) +\n\t\t\t\tmix( texture2DCompare( shadowMap, uv + vec2( dx, -dy ), shadowCoord.z ), \n\t\t\t\t\t texture2DCompare( shadowMap, uv + vec2( dx, 2.0 * dy ), shadowCoord.z ),\n\t\t\t\t\t f.y ) +\n\t\t\t\tmix( mix( texture2DCompare( shadowMap, uv + vec2( -dx, -dy ), shadowCoord.z ), \n\t\t\t\t\t\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, -dy ), shadowCoord.z ),\n\t\t\t\t\t\t f.x ),\n\t\t\t\t\t mix( texture2DCompare( shadowMap, uv + vec2( -dx, 2.0 * dy ), shadowCoord.z ), \n\t\t\t\t\t\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 2.0 * dy ), shadowCoord.z ),\n\t\t\t\t\t\t f.x ),\n\t\t\t\t\t f.y )\n\t\t\t) * ( 1.0 / 9.0 );\n\t\t#elif defined( SHADOWMAP_TYPE_VSM )\n\t\t\tshadow = VSMShadow( shadowMap, shadowCoord.xy, shadowCoord.z );\n\t\t#else\n\t\t\tshadow = texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z );\n\t\t#endif\n\t\t}\n\t\treturn shadow;\n\t}\n\tvec2 cubeToUV( vec3 v, float texelSizeY ) {\n\t\tvec3 absV = abs( v );\n\t\tfloat scaleToCube = 1.0 / max( absV.x, max( absV.y, absV.z ) );\n\t\tabsV *= scaleToCube;\n\t\tv *= scaleToCube * ( 1.0 - 2.0 * texelSizeY );\n\t\tvec2 planar = v.xy;\n\t\tfloat almostATexel = 1.5 * texelSizeY;\n\t\tfloat almostOne = 1.0 - almostATexel;\n\t\tif ( absV.z >= almostOne ) {\n\t\t\tif ( v.z > 0.0 )\n\t\t\t\tplanar.x = 4.0 - v.x;\n\t\t} else if ( absV.x >= almostOne ) {\n\t\t\tfloat signX = sign( v.x );\n\t\t\tplanar.x = v.z * signX + 2.0 * signX;\n\t\t} else if ( absV.y >= almostOne ) {\n\t\t\tfloat signY = sign( v.y );\n\t\t\tplanar.x = v.x + 2.0 * signY + 2.0;\n\t\t\tplanar.y = v.z * signY - 2.0;\n\t\t}\n\t\treturn vec2( 0.125, 0.25 ) * planar + vec2( 0.375, 0.75 );\n\t}\n\tfloat getPointShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) {\n\t\tvec2 texelSize = vec2( 1.0 ) / ( shadowMapSize * vec2( 4.0, 2.0 ) );\n\t\tvec3 lightToPosition = shadowCoord.xyz;\n\t\tfloat dp = ( length( lightToPosition ) - shadowCameraNear ) / ( shadowCameraFar - shadowCameraNear );\t\tdp += shadowBias;\n\t\tvec3 bd3D = normalize( lightToPosition );\n\t\t#if defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_PCF_SOFT ) || defined( SHADOWMAP_TYPE_VSM )\n\t\t\tvec2 offset = vec2( - 1, 1 ) * shadowRadius * texelSize.y;\n\t\t\treturn (\n\t\t\t\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyy, texelSize.y ), dp ) +\n\t\t\t\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyy, texelSize.y ), dp ) +\n\t\t\t\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyx, texelSize.y ), dp ) +\n\t\t\t\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyx, texelSize.y ), dp ) +\n\t\t\t\ttexture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp ) +\n\t\t\t\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxy, texelSize.y ), dp ) +\n\t\t\t\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxy, texelSize.y ), dp ) +\n\t\t\t\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxx, texelSize.y ), dp ) +\n\t\t\t\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxx, texelSize.y ), dp )\n\t\t\t) * ( 1.0 / 9.0 );\n\t\t#else\n\t\t\treturn texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp );\n\t\t#endif\n\t}\n#endif";
- var shadowmap_pars_vertex = "#ifdef USE_SHADOWMAP\n\t#if NUM_DIR_LIGHT_SHADOWS > 0\n\t\tuniform mat4 directionalShadowMatrix[ NUM_DIR_LIGHT_SHADOWS ];\n\t\tvarying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];\n\t\tstruct DirectionalLightShadow {\n\t\t\tfloat shadowBias;\n\t\t\tfloat shadowNormalBias;\n\t\t\tfloat shadowRadius;\n\t\t\tvec2 shadowMapSize;\n\t\t};\n\t\tuniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];\n\t#endif\n\t#if NUM_SPOT_LIGHT_SHADOWS > 0\n\t\tuniform mat4 spotShadowMatrix[ NUM_SPOT_LIGHT_SHADOWS ];\n\t\tvarying vec4 vSpotShadowCoord[ NUM_SPOT_LIGHT_SHADOWS ];\n\t\tstruct SpotLightShadow {\n\t\t\tfloat shadowBias;\n\t\t\tfloat shadowNormalBias;\n\t\t\tfloat shadowRadius;\n\t\t\tvec2 shadowMapSize;\n\t\t};\n\t\tuniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];\n\t#endif\n\t#if NUM_POINT_LIGHT_SHADOWS > 0\n\t\tuniform mat4 pointShadowMatrix[ NUM_POINT_LIGHT_SHADOWS ];\n\t\tvarying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];\n\t\tstruct PointLightShadow {\n\t\t\tfloat shadowBias;\n\t\t\tfloat shadowNormalBias;\n\t\t\tfloat shadowRadius;\n\t\t\tvec2 shadowMapSize;\n\t\t\tfloat shadowCameraNear;\n\t\t\tfloat shadowCameraFar;\n\t\t};\n\t\tuniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];\n\t#endif\n#endif";
- var shadowmap_vertex = "#ifdef USE_SHADOWMAP\n\t#if NUM_DIR_LIGHT_SHADOWS > 0 || NUM_SPOT_LIGHT_SHADOWS > 0 || NUM_POINT_LIGHT_SHADOWS > 0\n\t\tvec3 shadowWorldNormal = inverseTransformDirection( transformedNormal, viewMatrix );\n\t\tvec4 shadowWorldPosition;\n\t#endif\n\t#if NUM_DIR_LIGHT_SHADOWS > 0\n\t#pragma unroll_loop_start\n\tfor ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {\n\t\tshadowWorldPosition = worldPosition + vec4( shadowWorldNormal * directionalLightShadows[ i ].shadowNormalBias, 0 );\n\t\tvDirectionalShadowCoord[ i ] = directionalShadowMatrix[ i ] * shadowWorldPosition;\n\t}\n\t#pragma unroll_loop_end\n\t#endif\n\t#if NUM_SPOT_LIGHT_SHADOWS > 0\n\t#pragma unroll_loop_start\n\tfor ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) {\n\t\tshadowWorldPosition = worldPosition + vec4( shadowWorldNormal * spotLightShadows[ i ].shadowNormalBias, 0 );\n\t\tvSpotShadowCoord[ i ] = spotShadowMatrix[ i ] * shadowWorldPosition;\n\t}\n\t#pragma unroll_loop_end\n\t#endif\n\t#if NUM_POINT_LIGHT_SHADOWS > 0\n\t#pragma unroll_loop_start\n\tfor ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {\n\t\tshadowWorldPosition = worldPosition + vec4( shadowWorldNormal * pointLightShadows[ i ].shadowNormalBias, 0 );\n\t\tvPointShadowCoord[ i ] = pointShadowMatrix[ i ] * shadowWorldPosition;\n\t}\n\t#pragma unroll_loop_end\n\t#endif\n#endif";
- var shadowmask_pars_fragment = "float getShadowMask() {\n\tfloat shadow = 1.0;\n\t#ifdef USE_SHADOWMAP\n\t#if NUM_DIR_LIGHT_SHADOWS > 0\n\tDirectionalLightShadow directionalLight;\n\t#pragma unroll_loop_start\n\tfor ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {\n\t\tdirectionalLight = directionalLightShadows[ i ];\n\t\tshadow *= receiveShadow ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;\n\t}\n\t#pragma unroll_loop_end\n\t#endif\n\t#if NUM_SPOT_LIGHT_SHADOWS > 0\n\tSpotLightShadow spotLight;\n\t#pragma unroll_loop_start\n\tfor ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) {\n\t\tspotLight = spotLightShadows[ i ];\n\t\tshadow *= receiveShadow ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowBias, spotLight.shadowRadius, vSpotShadowCoord[ i ] ) : 1.0;\n\t}\n\t#pragma unroll_loop_end\n\t#endif\n\t#if NUM_POINT_LIGHT_SHADOWS > 0\n\tPointLightShadow pointLight;\n\t#pragma unroll_loop_start\n\tfor ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {\n\t\tpointLight = pointLightShadows[ i ];\n\t\tshadow *= receiveShadow ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0;\n\t}\n\t#pragma unroll_loop_end\n\t#endif\n\t#endif\n\treturn shadow;\n}";
- var skinbase_vertex = "#ifdef USE_SKINNING\n\tmat4 boneMatX = getBoneMatrix( skinIndex.x );\n\tmat4 boneMatY = getBoneMatrix( skinIndex.y );\n\tmat4 boneMatZ = getBoneMatrix( skinIndex.z );\n\tmat4 boneMatW = getBoneMatrix( skinIndex.w );\n#endif";
- var skinning_pars_vertex = "#ifdef USE_SKINNING\n\tuniform mat4 bindMatrix;\n\tuniform mat4 bindMatrixInverse;\n\t#ifdef BONE_TEXTURE\n\t\tuniform highp sampler2D boneTexture;\n\t\tuniform int boneTextureSize;\n\t\tmat4 getBoneMatrix( const in float i ) {\n\t\t\tfloat j = i * 4.0;\n\t\t\tfloat x = mod( j, float( boneTextureSize ) );\n\t\t\tfloat y = floor( j / float( boneTextureSize ) );\n\t\t\tfloat dx = 1.0 / float( boneTextureSize );\n\t\t\tfloat dy = 1.0 / float( boneTextureSize );\n\t\t\ty = dy * ( y + 0.5 );\n\t\t\tvec4 v1 = texture2D( boneTexture, vec2( dx * ( x + 0.5 ), y ) );\n\t\t\tvec4 v2 = texture2D( boneTexture, vec2( dx * ( x + 1.5 ), y ) );\n\t\t\tvec4 v3 = texture2D( boneTexture, vec2( dx * ( x + 2.5 ), y ) );\n\t\t\tvec4 v4 = texture2D( boneTexture, vec2( dx * ( x + 3.5 ), y ) );\n\t\t\tmat4 bone = mat4( v1, v2, v3, v4 );\n\t\t\treturn bone;\n\t\t}\n\t#else\n\t\tuniform mat4 boneMatrices[ MAX_BONES ];\n\t\tmat4 getBoneMatrix( const in float i ) {\n\t\t\tmat4 bone = boneMatrices[ int(i) ];\n\t\t\treturn bone;\n\t\t}\n\t#endif\n#endif";
- var skinning_vertex = "#ifdef USE_SKINNING\n\tvec4 skinVertex = bindMatrix * vec4( transformed, 1.0 );\n\tvec4 skinned = vec4( 0.0 );\n\tskinned += boneMatX * skinVertex * skinWeight.x;\n\tskinned += boneMatY * skinVertex * skinWeight.y;\n\tskinned += boneMatZ * skinVertex * skinWeight.z;\n\tskinned += boneMatW * skinVertex * skinWeight.w;\n\ttransformed = ( bindMatrixInverse * skinned ).xyz;\n#endif";
- var skinnormal_vertex = "#ifdef USE_SKINNING\n\tmat4 skinMatrix = mat4( 0.0 );\n\tskinMatrix += skinWeight.x * boneMatX;\n\tskinMatrix += skinWeight.y * boneMatY;\n\tskinMatrix += skinWeight.z * boneMatZ;\n\tskinMatrix += skinWeight.w * boneMatW;\n\tskinMatrix = bindMatrixInverse * skinMatrix * bindMatrix;\n\tobjectNormal = vec4( skinMatrix * vec4( objectNormal, 0.0 ) ).xyz;\n\t#ifdef USE_TANGENT\n\t\tobjectTangent = vec4( skinMatrix * vec4( objectTangent, 0.0 ) ).xyz;\n\t#endif\n#endif";
- var specularmap_fragment = "float specularStrength;\n#ifdef USE_SPECULARMAP\n\tvec4 texelSpecular = texture2D( specularMap, vUv );\n\tspecularStrength = texelSpecular.r;\n#else\n\tspecularStrength = 1.0;\n#endif";
- var specularmap_pars_fragment = "#ifdef USE_SPECULARMAP\n\tuniform sampler2D specularMap;\n#endif";
- var tonemapping_fragment = "#if defined( TONE_MAPPING )\n\tgl_FragColor.rgb = toneMapping( gl_FragColor.rgb );\n#endif";
- var tonemapping_pars_fragment = "#ifndef saturate\n#define saturate(a) clamp( a, 0.0, 1.0 )\n#endif\nuniform float toneMappingExposure;\nvec3 LinearToneMapping( vec3 color ) {\n\treturn toneMappingExposure * color;\n}\nvec3 ReinhardToneMapping( vec3 color ) {\n\tcolor *= toneMappingExposure;\n\treturn saturate( color / ( vec3( 1.0 ) + color ) );\n}\nvec3 OptimizedCineonToneMapping( vec3 color ) {\n\tcolor *= toneMappingExposure;\n\tcolor = max( vec3( 0.0 ), color - 0.004 );\n\treturn pow( ( color * ( 6.2 * color + 0.5 ) ) / ( color * ( 6.2 * color + 1.7 ) + 0.06 ), vec3( 2.2 ) );\n}\nvec3 RRTAndODTFit( vec3 v ) {\n\tvec3 a = v * ( v + 0.0245786 ) - 0.000090537;\n\tvec3 b = v * ( 0.983729 * v + 0.4329510 ) + 0.238081;\n\treturn a / b;\n}\nvec3 ACESFilmicToneMapping( vec3 color ) {\n\tconst mat3 ACESInputMat = mat3(\n\t\tvec3( 0.59719, 0.07600, 0.02840 ),\t\tvec3( 0.35458, 0.90834, 0.13383 ),\n\t\tvec3( 0.04823, 0.01566, 0.83777 )\n\t);\n\tconst mat3 ACESOutputMat = mat3(\n\t\tvec3( 1.60475, -0.10208, -0.00327 ),\t\tvec3( -0.53108, 1.10813, -0.07276 ),\n\t\tvec3( -0.07367, -0.00605, 1.07602 )\n\t);\n\tcolor *= toneMappingExposure / 0.6;\n\tcolor = ACESInputMat * color;\n\tcolor = RRTAndODTFit( color );\n\tcolor = ACESOutputMat * color;\n\treturn saturate( color );\n}\nvec3 CustomToneMapping( vec3 color ) { return color; }";
- var transmissionmap_fragment = "#ifdef USE_TRANSMISSIONMAP\n\ttotalTransmission *= texture2D( transmissionMap, vUv ).r;\n#endif";
- var transmissionmap_pars_fragment = "#ifdef USE_TRANSMISSIONMAP\n\tuniform sampler2D transmissionMap;\n#endif";
- var uv_pars_fragment = "#if ( defined( USE_UV ) && ! defined( UVS_VERTEX_ONLY ) )\n\tvarying vec2 vUv;\n#endif";
- var uv_pars_vertex = "#ifdef USE_UV\n\t#ifdef UVS_VERTEX_ONLY\n\t\tvec2 vUv;\n\t#else\n\t\tvarying vec2 vUv;\n\t#endif\n\tuniform mat3 uvTransform;\n#endif";
- var uv_vertex = "#ifdef USE_UV\n\tvUv = ( uvTransform * vec3( uv, 1 ) ).xy;\n#endif";
- var uv2_pars_fragment = "#if defined( USE_LIGHTMAP ) || defined( USE_AOMAP )\n\tvarying vec2 vUv2;\n#endif";
- var uv2_pars_vertex = "#if defined( USE_LIGHTMAP ) || defined( USE_AOMAP )\n\tattribute vec2 uv2;\n\tvarying vec2 vUv2;\n\tuniform mat3 uv2Transform;\n#endif";
- var uv2_vertex = "#if defined( USE_LIGHTMAP ) || defined( USE_AOMAP )\n\tvUv2 = ( uv2Transform * vec3( uv2, 1 ) ).xy;\n#endif";
- var worldpos_vertex = "#if defined( USE_ENVMAP ) || defined( DISTANCE ) || defined ( USE_SHADOWMAP )\n\tvec4 worldPosition = vec4( transformed, 1.0 );\n\t#ifdef USE_INSTANCING\n\t\tworldPosition = instanceMatrix * worldPosition;\n\t#endif\n\tworldPosition = modelMatrix * worldPosition;\n#endif";
- var background_frag = "uniform sampler2D t2D;\nvarying vec2 vUv;\nvoid main() {\n\tvec4 texColor = texture2D( t2D, vUv );\n\tgl_FragColor = mapTexelToLinear( texColor );\n\t#include \n\t#include \n}";
- var background_vert = "varying vec2 vUv;\nuniform mat3 uvTransform;\nvoid main() {\n\tvUv = ( uvTransform * vec3( uv, 1 ) ).xy;\n\tgl_Position = vec4( position.xy, 1.0, 1.0 );\n}";
- var cube_frag = "#include \nuniform float opacity;\nvarying vec3 vWorldDirection;\n#include \nvoid main() {\n\tvec3 vReflect = vWorldDirection;\n\t#include \n\tgl_FragColor = envColor;\n\tgl_FragColor.a *= opacity;\n\t#include \n\t#include \n}";
- var cube_vert = "varying vec3 vWorldDirection;\n#include \nvoid main() {\n\tvWorldDirection = transformDirection( position, modelMatrix );\n\t#include \n\t#include \n\tgl_Position.z = gl_Position.w;\n}";
- var depth_frag = "#if DEPTH_PACKING == 3200\n\tuniform float opacity;\n#endif\n#include \n#include \n#include \n#include \n#include \n#include \n#include \nvarying vec2 vHighPrecisionZW;\nvoid main() {\n\t#include \n\tvec4 diffuseColor = vec4( 1.0 );\n\t#if DEPTH_PACKING == 3200\n\t\tdiffuseColor.a = opacity;\n\t#endif\n\t#include \n\t#include \n\t#include \n\t#include \n\tfloat fragCoordZ = 0.5 * vHighPrecisionZW[0] / vHighPrecisionZW[1] + 0.5;\n\t#if DEPTH_PACKING == 3200\n\t\tgl_FragColor = vec4( vec3( 1.0 - fragCoordZ ), opacity );\n\t#elif DEPTH_PACKING == 3201\n\t\tgl_FragColor = packDepthToRGBA( fragCoordZ );\n\t#endif\n}";
- var depth_vert = "#include \n#include \n#include \n#include \n#include \n#include \n#include \nvarying vec2 vHighPrecisionZW;\nvoid main() {\n\t#include \n\t#include \n\t#ifdef USE_DISPLACEMENTMAP\n\t\t#include \n\t\t#include \n\t\t#include \n\t#endif\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\tvHighPrecisionZW = gl_Position.zw;\n}";
- var distanceRGBA_frag = "#define DISTANCE\nuniform vec3 referencePosition;\nuniform float nearDistance;\nuniform float farDistance;\nvarying vec3 vWorldPosition;\n#include \n#include \n#include \n#include \n#include \n#include \nvoid main () {\n\t#include \n\tvec4 diffuseColor = vec4( 1.0 );\n\t#include \n\t#include \n\t#include \n\tfloat dist = length( vWorldPosition - referencePosition );\n\tdist = ( dist - nearDistance ) / ( farDistance - nearDistance );\n\tdist = saturate( dist );\n\tgl_FragColor = packDepthToRGBA( dist );\n}";
- var distanceRGBA_vert = "#define DISTANCE\nvarying vec3 vWorldPosition;\n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\t#include \n\t#ifdef USE_DISPLACEMENTMAP\n\t\t#include \n\t\t#include \n\t\t#include \n\t#endif\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\tvWorldPosition = worldPosition.xyz;\n}";
- var equirect_frag = "uniform sampler2D tEquirect;\nvarying vec3 vWorldDirection;\n#include \nvoid main() {\n\tvec3 direction = normalize( vWorldDirection );\n\tvec2 sampleUV = equirectUv( direction );\n\tvec4 texColor = texture2D( tEquirect, sampleUV );\n\tgl_FragColor = mapTexelToLinear( texColor );\n\t#include \n\t#include \n}";
- var equirect_vert = "varying vec3 vWorldDirection;\n#include \nvoid main() {\n\tvWorldDirection = transformDirection( position, modelMatrix );\n\t#include \n\t#include \n}";
- var linedashed_frag = "uniform vec3 diffuse;\nuniform float opacity;\nuniform float dashSize;\nuniform float totalSize;\nvarying float vLineDistance;\n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\tif ( mod( vLineDistance, totalSize ) > dashSize ) {\n\t\tdiscard;\n\t}\n\tvec3 outgoingLight = vec3( 0.0 );\n\tvec4 diffuseColor = vec4( diffuse, opacity );\n\t#include \n\t#include \n\toutgoingLight = diffuseColor.rgb;\n\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\n\t#include \n\t#include \n\t#include \n\t#include \n}";
- var linedashed_vert = "uniform float scale;\nattribute float lineDistance;\nvarying float vLineDistance;\n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\tvLineDistance = scale * lineDistance;\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n}";
- var meshbasic_frag = "uniform vec3 diffuse;\nuniform float opacity;\n#ifndef FLAT_SHADED\n\tvarying vec3 vNormal;\n#endif\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\tvec4 diffuseColor = vec4( diffuse, opacity );\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\n\t#ifdef USE_LIGHTMAP\n\t\n\t\tvec4 lightMapTexel= texture2D( lightMap, vUv2 );\n\t\treflectedLight.indirectDiffuse += lightMapTexelToLinear( lightMapTexel ).rgb * lightMapIntensity;\n\t#else\n\t\treflectedLight.indirectDiffuse += vec3( 1.0 );\n\t#endif\n\t#include \n\treflectedLight.indirectDiffuse *= diffuseColor.rgb;\n\tvec3 outgoingLight = reflectedLight.indirectDiffuse;\n\t#include \n\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n}";
- var meshbasic_vert = "#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\t#include \n\t#include \n\t#include \n\t#ifdef USE_ENVMAP\n\t#include \n\t#include \n\t#include \n\t#include \n\t#endif\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n}";
- var meshlambert_frag = "uniform vec3 diffuse;\nuniform vec3 emissive;\nuniform float opacity;\nvarying vec3 vLightFront;\nvarying vec3 vIndirectFront;\n#ifdef DOUBLE_SIDED\n\tvarying vec3 vLightBack;\n\tvarying vec3 vIndirectBack;\n#endif\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\tvec4 diffuseColor = vec4( diffuse, opacity );\n\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\n\tvec3 totalEmissiveRadiance = emissive;\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#ifdef DOUBLE_SIDED\n\t\treflectedLight.indirectDiffuse += ( gl_FrontFacing ) ? vIndirectFront : vIndirectBack;\n\t#else\n\t\treflectedLight.indirectDiffuse += vIndirectFront;\n\t#endif\n\t#include \n\treflectedLight.indirectDiffuse *= BRDF_Diffuse_Lambert( diffuseColor.rgb );\n\t#ifdef DOUBLE_SIDED\n\t\treflectedLight.directDiffuse = ( gl_FrontFacing ) ? vLightFront : vLightBack;\n\t#else\n\t\treflectedLight.directDiffuse = vLightFront;\n\t#endif\n\treflectedLight.directDiffuse *= BRDF_Diffuse_Lambert( diffuseColor.rgb ) * getShadowMask();\n\t#include \n\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;\n\t#include \n\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n}";
- var meshlambert_vert = "#define LAMBERT\nvarying vec3 vLightFront;\nvarying vec3 vIndirectFront;\n#ifdef DOUBLE_SIDED\n\tvarying vec3 vLightBack;\n\tvarying vec3 vIndirectBack;\n#endif\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include 
', click:false, site:{x:0,y:1870,z:10},data:{type:"labelIcon",id:"1",show:"cn"}}]);
- */
- this.labelIconArr = [];
- this.spriteMaterialArr = [];
- this.lineBasicMaterialArr = [];
- this.meshMaterialArr = [];
- this.parkMaterialArr = [];
- this.shopData = []; //店铺数据
- this.iconUrl = [];
- this.allMap = [];
- /*** ------------------------------------------------ 参数 API START ------------------------------------------------- */
- this.exportImg = function () {
- let tempSrc = Map_QM.renderer.domElement.toDataURL("image/png");
- let a = document.createElement("a");
- a.href = tempSrc;
- a.setAttribute("download", "floor.png");
- a.click();
- };
- /**
- * @api {方法} changePlaySpeed(speedMult) 改变导航速度倍数
- * @apiGroup 地图导航
- * @apiDescription 改变导航播放速度倍数
- * @apiVersion 4.0.0
- *
- * @apiParam {int} speedMult 播放速度倍数（默认 1）
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.util.changePlaySpeed()
- *
- */
- this.changePlaySpeed = function (speedMult = 1) {
- Map_QM.util.options.speedMult = speedMult;
- };
- /*** ----------------------------------------------- 参数 API END ----------------------------------------------- **** */
- this.Point = function (x = 0, y = 0) {
- this.x = x;
- this.y = y;
- };
- this.WallLine = function (start, end) {
- this.start = start; //起始点位
- this.end = end; //结束点位
- this.leftParLine; //左侧平行线段
- this.rightParLine; //右侧平行线段
- this.leftPoint; //左侧平行线交点
- this.rightPoint; //右侧平行线交点
- };
-
- this.assignUVs = function (geometry) {
- geometry.computeBoundingBox();
- let max = geometry.boundingBox.max,
- min = geometry.boundingBox.min;
- let offset = new THREE.Vector2(0 - min.x, 0 - min.y);
- let range = new THREE.Vector2(max.x - min.x, max.y - min.y);
- let addX = 1,
- addY = 1;
- range.x / range.y < 1
- ? (addX = range.x / range.y)
- : (addY = range.y / range.x);
- geometry.faceVertexUvs[0] = [];
-
- for (let face of geometry.faces) {
- let v1 = geometry.vertices[face.a],
- v2 = geometry.vertices[face.b],
- v3 = geometry.vertices[face.c];
- if (face.normal.z == 0) {
- //侧面
- if (range.x / range.y >= 1) {
- let repY = range.y / 256 >= 2 ? 256 : range.y;
- face.materialIndex = Math.abs(face.normal.x) < 0.7 ? 2 : 1;
- geometry.faceVertexUvs[0].push(
- face.materialIndex == 1
- ? [
- new THREE.Vector2((v1.y + offset.y) / repY, v1.z / 512),
- new THREE.Vector2((v2.y + offset.y) / repY, v2.z / 512),
- new THREE.Vector2((v3.y + offset.y) / repY, v3.z / 512),
- ]
- : [
- new THREE.Vector2((v1.x + offset.x) / range.x, v1.z / 64),
- new THREE.Vector2((v2.x + offset.x) / range.x, v2.z / 64),
- new THREE.Vector2((v3.x + offset.x) / range.x, v3.z / 64),
- ]
- );
- } else {
- face.materialIndex = Math.abs(face.normal.x) < 0.7 ? 1 : 2;
- geometry.faceVertexUvs[0].push(
- face.materialIndex == 1
- ? [
- new THREE.Vector2((v1.x + offset.x) / range.x, v1.z / 512),
- new THREE.Vector2((v2.x + offset.x) / range.x, v2.z / 512),
- new THREE.Vector2((v3.x + offset.x) / range.x, v3.z / 512),
- ]
- : [
- new THREE.Vector2((v1.y + offset.y) / range.y, v1.z / 64),
- new THREE.Vector2((v2.y + offset.y) / range.y, v2.z / 64),
- new THREE.Vector2((v3.y + offset.y) / range.y, v3.z / 64),
- ]
- );
- }
- } else {
- //顶面和底面
- face.materialIndex = 0;
- geometry.faceVertexUvs[0].push([
- new THREE.Vector2(
- ((v1.x + offset.x) / range.x) * addX,
- ((v1.y + offset.y) / range.y) * addY
- ),
- new THREE.Vector2(
- ((v2.x + offset.x) / range.x) * addX,
- ((v2.y + offset.y) / range.y) * addY
- ),
- new THREE.Vector2(
- ((v3.x + offset.x) / range.x) * addX,
- ((v3.y + offset.y) / range.y) * addY
- ),
- ]);
- }
- }
- geometry.uvsNeedUpdate = true;
- };
- this.packUv = function (geometry) {
- geometry.computeBoundingBox();
- let max = geometry.boundingBox.max,
- min = geometry.boundingBox.min;
- let offset = new THREE.Vector2(0 - min.x, 0 - min.y);
- let range = new THREE.Vector2(max.x - min.x, max.y - min.y);
- geometry.faceVertexUvs[0] = [];
- let allReag = 0;
- for (let i = 0; i < geometry.faces.length; i += 2) {
- let v1 = geometry.vertices[geometry.faces[i].a],
- v2 = geometry.vertices[geometry.faces[i].b];
- if (geometry.faces[i].normal.z == 0) {
- //侧面
- if (Math.abs(geometry.faces[i].normal.x) < 0.7) {
- //左右
- allReag += Math.abs(v2.x - v1.x);
- } else {
- allReag += Math.abs(v2.y - v1.y);
- }
- }
- }
- for (let face of geometry.faces) {
- let v1 = geometry.vertices[face.a],
- v2 = geometry.vertices[face.b],
- v3 = geometry.vertices[face.c];
- if (face.normal.z == 0) {
- //侧面
- face.materialIndex = 1;
- if (Math.abs(face.normal.x) < 0.7) {
- //前后
- geometry.faceVertexUvs[0].push([
- new THREE.Vector2((v1.x + offset.x) / allReag, v1.z / 512),
- new THREE.Vector2((v2.x + offset.x) / allReag, v2.z / 512),
- new THREE.Vector2((v3.x + offset.x) / allReag, v3.z / 512),
- ]);
- } else {
- geometry.faceVertexUvs[0].push([
- new THREE.Vector2((v1.y + offset.y) / allReag, v1.z / 512),
- new THREE.Vector2((v2.y + offset.y) / allReag, v2.z / 512),
- new THREE.Vector2((v3.y + offset.y) / allReag, v3.z / 512),
- ]);
- }
- } else {
- //顶面和底面
- face.materialIndex = 0;
- geometry.faceVertexUvs[0].push([
- new THREE.Vector2(
- (v1.x + offset.x) / range.x,
- (v1.y + offset.y) / range.y
- ),
- new THREE.Vector2(
- (v2.x + offset.x) / range.x,
- (v2.y + offset.y) / range.y
- ),
- new THREE.Vector2(
- (v3.x + offset.x) / range.x,
- (v3.y + offset.y) / range.y
- ),
- ]);
- }
- }
- };
- /**
- * 检测点是否在多边形区域内
- */
- this.checkBoundary = function (p, ptPolygon) {
- // 判断边界方法
- let nCount = ptPolygon.length;
- let nCross = 0;
- for (let i = 0; i < nCount; i++) {
- let p1 = ptPolygon[i]; //当前节点
- let p2 = ptPolygon[(i + 1) % nCount]; //下一个节点
- // 求解 y=p.y 与 p1p2 的交点
- if (p1.y == p2.y)
- // p1p2 与 y=p0.y平行
- continue;
- if (p.y < Math.min(p1.y, p2.y))
- // 交点在p1p2延长线上
- continue;
- if (p.y >= Math.max(p1.y, p2.y))
- // 交点在p1p2延长线上
- continue;
- // 从P发射一条水平射线 求交点的 X 坐标 ------原理: ((p2.y-p1.y)/(p2.x-p1.x))=((y-p1.y)/(x-p1.x))
- //直线k值相等 交点y=p.y
- let x = ((p.y - p1.y) * (p2.x - p1.x)) / (p2.y - p1.y) + p1.x;
- if (x > p.x) nCross++; // 只统计单边交点
- }
- // 单边交点为偶数，点在多边形之外 ---
- return nCross % 2 == 1;
- };
- this.requestNoJM = function (params) {
- params.method = params.method || "GET";
- let xmlhttp = new XMLHttpRequest();
- xmlhttp.onreadystatechange = function () {
- if (xmlhttp.readyState === 4 && xmlhttp.status === 200) {
- let jsonObject;
- try {
- jsonObject = JSON.parse(xmlhttp.responseText);
- } catch (e) {
- window.captureException && window.captureException(e);
- params.fail();
- return;
- }
- params.success(jsonObject);
- }
- if (
- xmlhttp.readyState === 4 &&
- (xmlhttp.status === 404 || xmlhttp.status === 405)
- ) {
- params.fail();
- }
- };
- xmlhttp.onerror = function () {
- params.fail();
- };
- xmlhttp.open(params.method, params.url, true);
- //xmlhttp.setRequestHeader("Access-Control-Allow-Origin", "*");
- xmlhttp.setRequestHeader("Content-type", "application/json");
- xmlhttp.send(params.data);
- };
- //解密
- this.decrypt = function (word, keyStr) {
- keyStr = keyStr ? keyStr : "cqmyg#hdhxt!saas";
- var key = CryptoJS.enc.Utf8.parse(keyStr); //Latin1 w8m31+Yy/Nw6thPsMpO5fg==
- var decrypt = CryptoJS.AES.decrypt(word, key, {
- mode: CryptoJS.mode.ECB,
- padding: CryptoJS.pad.Pkcs7,
- });
- return CryptoJS.enc.Utf8.stringify(decrypt).toString();
- };
- this.timeStamp = function () {
- return parseInt(new Date().getTime() / 1000);
- };
-
- this.readTextFile = function (file, callback) {
- let rawFile = new XMLHttpRequest();
- rawFile.overrideMimeType("application/json");
- rawFile.open("GET", file, true);
- rawFile.onreadystatechange = function () {
- if (rawFile.readyState === 4 && rawFile.status == 200) {
- try {
- let jsonObject = JSON.parse(rawFile.response);
- callback(jsonObject);
- } catch (e) {
- window.captureException && window.captureException(e);
- }
- }
- };
- rawFile.onerror = function () {
- callback(null);
- };
- rawFile.send(null);
- };
- /**碰撞检测
- * 传入A中心点和A的宽、高
- * B的中心点和B的宽、高
- */
- this.isCollision = function (A, B) {
- return (Math.abs(A.x - B.x) < A.width+B.width && Math.abs(A.y - B.y) < A.height+B.height);
- };
- this.isSpriteToPro = function (spriteA) {
- let vct = new THREE.Vector3(
- spriteA.userData.x,
- -1 * spriteA.userData.y,
- 30
- );
- vct.applyMatrix4(
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].allObj
- .matrix
- );
- vct.applyMatrix4(Map_QM.sceneGap.matrix);
- let standVecA = vct.project(Map_QM.camera);
- return {
- x: Math.round(((standVecA.x + 1) * Map_QM.w) / 2),
- y: Math.round(((standVecA.y + 1) * Map_QM.h) / 2),
- width: spriteA.userData.width,
- height: spriteA.userData.height,
- };
- };
-
- this.changeParkToString = function (area) {
- let areaArr = [];
- for (let i = 0; i < area.hasLines.length; i++) {
- let line = area.hasLines[i];
- let array = [];
- array.push(
- line.startPoint.x,
- line.startPoint.y,
- line.endPoint.x,
- line.endPoint.y
- );
- areaArr.push(array);
- }
- return areaArr;
- };
- this.changeAreaToString = function (area) {
- let areaArr = [];
- for (let i = 0; i < area.hasLines.length; i++) {
- let line = area.hasLines[i];
- let array = [];
- if (line.isStrLine) {
- array.push(
- line.startPoint.x,
- line.startPoint.y,
- line.endPoint.x,
- line.endPoint.y
- );
- } else {
- array.push(
- line.startPoint.x,
- line.startPoint.y,
- line.ctrlPoint1.x,
- line.ctrlPoint1.y,
- line.ctrlPoint2.x,
- line.ctrlPoint2.y,
- line.endPoint.x,
- line.endPoint.y
- );
- }
- areaArr.push(array);
- }
- return areaArr;
- };
- this.changeWallToString = function (area) {
- let areaArr = [];
- let points = Map_QM.util.getWallPoints(area.pathPoints, area.thick);
- for (let i = 0; i < points.length; i++) {
- let array = [];
- let pend = i == points.length - 1 ? points[0] : points[i + 1];
- array.push(points[i].x, points[i].y, pend.x, pend.y);
- areaArr.push(array);
- }
- return areaArr;
- };
-
- this.QM_Line_Father = function (
- sPoint,
- ePoint,
- ctrlPoint1,
- ctrlPoint2,
- isStrLine
- ) {
- this.startPoint = sPoint; //起始点
- this.endPoint = ePoint; //结束点
- this.ctrlPoint1 = ctrlPoint1;
- this.ctrlPoint2 = ctrlPoint2;
- this.isStrLine = isStrLine; //是否是直线
- };
- //根据配置参数转换店铺圆角
- this.changeShopLinesToString = function (area) {
- let areaStr = [];
- let lines = [];
- for (let m = 0; m < area.hasLines.length; m++) {
- let sPoint, ePoint, cPoint1, cPoint2;
- sPoint = new Map_QM.util.Point(
- area.hasLines[m].startPoint.x,
- area.hasLines[m].startPoint.y
- );
- ePoint = new Map_QM.util.Point(
- area.hasLines[m].endPoint.x,
- area.hasLines[m].endPoint.y
- );
- if (area.hasLines[m].isStrLine) {
- cPoint1 = null;
- cPoint2 = null;
- } else {
- cPoint1 = new Map_QM.util.Point(
- area.hasLines[m].ctrlPoint1.x,
- area.hasLines[m].ctrlPoint1.y
- );
- cPoint2 = new Map_QM.util.Point(
- area.hasLines[m].ctrlPoint2.x,
- area.hasLines[m].ctrlPoint2.y
- );
- }
- let line = new Map_QM.util.QM_Line_Father(
- sPoint,
- ePoint,
- cPoint1,
- cPoint2,
- area.hasLines[m].isStrLine
- );
- lines.push(line);
- }
-
- for (let i = 0; i < lines.length; i++) {
- let line0 = lines[i];
- let line1 = i < lines.length - 1 ? lines[i + 1] : lines[0];
- if (Map_QM.util.options.aRadius > 2) {
- if (line0.isStrLine &&line1.isStrLine &&Math.abs(line0.endPoint.x - line0.startPoint.x) + Math.abs(line0.endPoint.y - line0.startPoint.y) > parseInt(Map_QM.util.options.aRadius) * 2) {
- let x1 = line0.endPoint.x;
- let y1 = line0.endPoint.y;
- let x2 = line0.startPoint.x;
- let y2 = line0.startPoint.y;
- let x3 = line1.endPoint.x;
- let y3 = line1.endPoint.y;
- if (Math.abs((x3 - x1) / (x2 - x1) - (y3 - y1) / (y2 - y1)) < 0.1) {
- let yArr = [];
- yArr.push(line0.startPoint.x,line0.startPoint.y, line0.endPoint.x, line0.endPoint.y);
- areaStr.push(yArr);
- continue;
- }
-
- let result = Map_QM.util.getIncircleByLines(x1,y1,x2,y2,x3,y3,Map_QM.util.options.aRadius);
- let bezierResult = Map_QM.util.getBezier(result.center.x,result.center.y, result.tangencyPoints[0].x, result.tangencyPoints[0].y, result.tangencyPoints[1].x, result.tangencyPoints[1].y, x1, y1, Map_QM.util.options.aRadius);
-
- if (i > 0) {
- let ctrlPoint1,
- ctrlPoint2,
- array = [];
- ctrlPoint1 = ctrlPoint2 = new Map_QM.util.Point(((bezierResult[0].x - line0.startPoint.x) / 2 + line0.startPoint.x) >>0, ((bezierResult[0].y - line0.startPoint.y) / 2 +line0.startPoint.y) >> 0); //控制点
- array.push(
- line0.startPoint.x,
- line0.startPoint.y,
- ctrlPoint1.x,
- ctrlPoint1.y,
- ctrlPoint2.x,
- ctrlPoint2.y,
- bezierResult[0].x,
- bezierResult[0].y
- );
- areaStr.push(array);
- } else {
- lines[0].endPoint.x = bezierResult[0].x;
- lines[0].endPoint.y = bezierResult[0].y;
- }
- let arr = [];
- arr.push(
- bezierResult[0].x,
- bezierResult[0].y,
- bezierResult[1].x,
- bezierResult[1].y,
- bezierResult[2].x,
- bezierResult[2].y,
- bezierResult[3].x,
- bezierResult[3].y
- );
- areaStr.push(arr);
- line1.startPoint.x = bezierResult[3].x;
- line1.startPoint.y = bezierResult[3].y;
- } else {
- /////////////////////////////
- if (i != 0) {
- let pArr = [];
- if (line0.isStrLine) {
- pArr.push(
- line0.startPoint.x,
- line0.startPoint.y,
- line0.endPoint.x,
- line0.endPoint.y
- );
- } else {
- pArr.push(
- line0.startPoint.x,
- line0.startPoint.y,
- line0.ctrlPoint1.x,
- line0.ctrlPoint1.y,
- line0.ctrlPoint2.x,
- line0.ctrlPoint2.y,
- line0.endPoint.x,
- line0.endPoint.y
- );
- }
- areaStr.push(pArr);
- }
- }
- if (i == lines.length - 1) {
- let ocPoint1,
- ocPoint2,
- oArr = [];
- if (line1.isStrLine) {
- oArr.push(
- line1.startPoint.x,
- line1.startPoint.y,
- line1.endPoint.x,
- line1.endPoint.y
- );
- } else {
- ocPoint1 = new Map_QM.util.Point(line1.ctrlPoint1.x,line1.ctrlPoint1.y);
- ocPoint2 = new Map_QM.util.Point(line1.ctrlPoint2.x,line1.ctrlPoint2.y);
- oArr.push(
- line1.startPoint.x,
- line1.startPoint.y,
- ocPoint1.x,
- ocPoint1.y,
- ocPoint2.x,
- ocPoint2.y,
- line1.endPoint.x,
- line1.endPoint.y
- );
- }
- areaStr.push(oArr);
- }
- } else {
- let yArr = [];
- if (line0.isStrLine) {
- yArr.push(line0.startPoint.x, line0.startPoint.y, line0.endPoint.x,line0.endPoint.y);
- } else {
- yArr.push(
- line0.startPoint.x,line0.startPoint.y,
- line0.ctrlPoint1.x,line0.ctrlPoint1.y,
- line0.ctrlPoint2.x, line0.ctrlPoint2.y,
- line0.endPoint.x, line0.endPoint.y
- );
- }
- areaStr.push(yArr);
- }
- }
- return areaStr;
- };
-
- //根据圆心、两个切点、切点相交线顶点和半径 计算三次贝塞尔曲线的控制点
- this.getBezier = function (x1, y1, x2, y2, x3, y3, x4, y4, radius) {
- //切线向量A
- var vectorAx = x2 - x1;
- var vectorAy = y2 - y1;
- //切线向量B
- var vectorBx = x3 - x1;
- var vectorBy = y3 - y1;
-
- //计算切点和圆形组成相交线的夹角
- var angle = Math.acos(
- (vectorAx * vectorBx + vectorAy * vectorBy) /
- (Math.sqrt(vectorAx * vectorAx + vectorAy * vectorAy) *
- Math.sqrt(vectorBx * vectorBx + vectorBy * vectorBy))
- );
- //计算切点到控制点的距离
- var tempDistence = (4 / 3) * radius * Math.tan(angle / 4);
- return [
- {
- x: x2,
- y: y2,
- },
- Map_QM.util.getPointFromLine(x2, y2, x4, y4, tempDistence),
- Map_QM.util.getPointFromLine(x3, y3, x4, y4, tempDistence),
- {
- x: x3,
- y: y3,
- },
- ];
- };
- //根据半径计算两条线段相切圆的圆心和切点坐标
- this.getIncircleByLines = function (x1, y1, x2, y2, x3, y3, radius) {
- //向量夹角
- let angle = Map_QM.util.getVectorAngle(x2 - x1, y2 - y1, x3 - x1, y3 - y1);
- angle = (angle > 180 ? 360 - angle : angle) / 2;
- //根据夹角计算侧边切点相对于顶点距离
- let distance = radius / Math.tan((Math.PI * angle) / 180);
- //计算侧边相切点具体坐标
- let tangencyPoints = [
- Map_QM.util.getPointFromLine(x1, y1, x2, y2, distance),
- Map_QM.util.getPointFromLine(x1, y1, x3, y3, distance),
- ];
-
- let centerX, centerY;
- let areaSize = (x2 - x1) * (y3 - y1) - (y2 - y1) * (x3 - x1);
- //计算圆心坐标
- if (areaSize < 0) {
- centerX =
- (tangencyPoints[0].x * (1 / Math.tan((Math.PI * angle) / 180)) +
- tangencyPoints[0].y -y1) /(1 / Math.tan((Math.PI * angle) / 180));
- centerY = (tangencyPoints[0].y * (1 / Math.tan((Math.PI * angle) / 180)) + x1 - tangencyPoints[0].x) /(1 / Math.tan((Math.PI * angle) / 180));
- } else {
- centerX = (tangencyPoints[1].x * (1 / Math.tan((Math.PI * angle) / 180)) +tangencyPoints[1].y -y1) / (1 / Math.tan((Math.PI * angle) / 180));
- centerY = (tangencyPoints[1].y * (1 / Math.tan((Math.PI * angle) / 180)) + x1 -tangencyPoints[1].x) /(1 / Math.tan((Math.PI * angle) / 180));
- }
- return {
- center: {
- x: centerX,
- y: centerY,
- },
- tangencyPoints: tangencyPoints,
- angle: (Math.PI * angle) / 90,
- };
- };
-
- //根据距离计算线段上某一点的具体坐标
- this.getPointFromLine = function (startX, startY, endX, endY, distance) {
- if (startX == endX)
- return {
- x: startX,
- y: startY < endY ? startY + distance : startY - distance,
- };
-
- let k = ((startY - endY) * 1.0) / (startX - endX);
- let b = startY - k * startX;
- let A = Math.pow(k, 2) + 1;
- let B = 2 * ((b - startY) * k - startX);
- let C =
- Math.pow(b - startY, 2) + Math.pow(startX, 2) - Math.pow(distance, 2);
- let x1 = (-B + Math.sqrt(Math.pow(B, 2) - 4 * A * C)) / (2 * A);
- let x2 = (-B - Math.sqrt(Math.pow(B, 2) - 4 * A * C)) / (2 * A);
- let x = 0;
-
- if (x1 == x2) x = x1;
- else if ((startX <= x1 && x1 <= endX) || (endX <= x1 && x1 <= startX))
- x = x1;
- else if ((startX <= x2 && x2 <= endX) || (endX <= x2 && x2 <= startX))
- x = x2;
-
- let y = k * x + b;
- return {
- x: x,
- y: y,
- };
- };
-
- //计算两个向量之间的夹角
- this.getVectorAngle = function (x1, y1, x2, y2) {
- let epsilon = 1.0e-6;
- let dist, dot, degree, angle;
- dist = Math.sqrt(x1 * x1 + y1 * y1);
- x1 /= dist;
- y1 /= dist;
- dist = Math.sqrt(x2 * x2 + y2 * y2);
- x2 /= dist;
- y2 /= dist;
- dot = x1 * x2 + y1 * y2;
- if (Math.abs(dot - 1.0) <= epsilon) angle = 0;
- else if (Math.abs(dot + 1.0) <= epsilon) angle = Math.PI;
- else {
- angle = Math.acos(dot);
- let cross = x1 * y2 - x2 * y1;
- if (cross < 0) angle = 2 * Math.PI - angle;
- }
- degree = (angle * 180) / Math.PI;
- return degree;
- };
- //检测区域是否在区域内 true (area2包含area)
- this.checkAreaInArea = function (area, area2) {
- if (!area2.hasLines || !area.hasLines) {
- return false;
- }
- let ptPolygon = [];
- for (let i = 0; i < area2.hasLines.length; i++) {
- let line = area2.hasLines[i];
- let pArr;
- if (line.isStrLine) {
- pArr = Map_QM.util.getPointArrOnLine(line.startPoint, line.endPoint);
- } else {
- pArr = Map_QM.util.getPointArr(line.startPoint, line.ctrlPoint1,line.ctrlPoint2,line.endPoint,0.1);
- }
- ptPolygon.push(...pArr);
- }
- for (let f = 0; f < area.hasLines.length; f++) {
- let line2 = area.hasLines[f];
- let sPoint = Map_QM.util.checkBoundary(new Map_QM.util.Point(line2.startPoint.x, line2.startPoint.y),ptPolygon);
- let ePoint = Map_QM.util.checkBoundary(new Map_QM.util.Point(line2.endPoint.x, line2.endPoint.y),ptPolygon);
- if (!sPoint || !ePoint) {
- return false;
- }
- }
- return true;
- };
-
- /**
- * 返回取得点的数组
- * s1--起点 s2 --终点 s3,s4 --控制点
- */
- this.getPointArr = function (s1, s3, s4, s2, sp = 0.01) {
- let pArr = [];
- let sz = [s1, s3, s4, s2];
- let p;
- for (let j = 0; j < 1; j += sp) {
- p = Map_QM.util.P_BEZ(j, sz);
- pArr.push(p);
- }
- return pArr;
- };
-
- this.P_BEZ = function (t, sz) {
- //n次
- let x_p = 0;
- let y_p = 0;
- let n = sz.length;
- for (let i = 0; i < sz.length; i++) {
- let son = Map_QM.util.jie_cheng(n - 1);
- let mother = Map_QM.util.jie_cheng(i) * Map_QM.util.jie_cheng(n - 1 - i);
- let b = (son / mother) * Math.pow(t, i) * Math.pow(1 - t, n - 1 - i);
- x_p += sz[i].x * b;
- y_p += sz[i].y * b;
- }
-
- x_p = Number(x_p * 1000) / 1000;
- y_p = Number(y_p * 1000) / 1000;
- return new Map_QM.util.Point(x_p, y_p);
- };
-
- this.jie_cheng = function (i) {
- //阶乘
- let n = 1;
- for (let j = 1; j <= i; j++) {
- n *= j;
- }
- return n;
- };
-
- /**
- * 获取线段上的所有点
- */
- this.getPointArrOnLine = function (s1, s2) {
- let points = [];
- if (s1.x == s2.x) {
- let vy = s1.y < s2.y ? 1 : -1;
- for (let m = 1; m < Math.abs(s1.y - s2.y); m++) {
- let y0 = s1.y + m * vy;
- let x0 = s1.x;
- points.push(new Map_QM.util.Point(x0, y0));
- }
- return points;
- }
- let k = (s1.y - s2.y) / (s1.x - s2.x); // 坐标直线斜率k
- let b = s1.y - k * s1.x; // 坐标直线b
- if (Math.abs(s1.x - s2.x) > Math.abs(s1.y - s2.y)) {
- let vx = s1.x < s2.x ? 1 : -1;
- for (let i = 1; i < Math.abs(s1.x - s2.x); i++) {
- let x0 = s1.x + i * vx;
- let y0 = k * x0 + b;
- points.push(new Map_QM.util.Point(x0, y0));
- }
- } else {
- let vy = s1.y < s2.y ? 1 : -1;
- for (let n = 1; n < Math.abs(s1.y - s2.y); n++) {
- let y0 = s1.y + n * vy;
- let x0 = (y0 - b) / k;
- points.push(new Map_QM.util.Point(x0, y0));
- }
- }
- return points;
- };
-
- //转换公共设施type值
- this.getFacType = function (str) {
- for (let i = 0; i < typeObj.length; i++) {
- if (typeObj[i].code && typeObj[i].code == str) {
- return typeObj[i].type;
- }
- }
- };
- this.getFacName = function (str) {
- for (let i = 0; i < typeObj.length; i++) {
- if (typeObj[i].code && typeObj[i].code == str) {
- return typeObj[i].name;
- }
- }
- };
- //店铺排序
- this.sortShopByFloor = function (a, b) {
- return a.floorOrder < b.floorOrder ? -1 : 1;
- };
- this.sortNode = function (a, b) {
- return a.id - b.id;
- };
- ////////////////////////////////////////////////////////////////////////////////////////////
- this.getWallPoints = function (points, wallWidth) {
- if (points.length < 2) {
- return new Array();
- }
- //构建线段列表
- let lines = new Array();
- for (let index = 0; index < points.length - 1; index++) {
- let startPoint = points[index];
- let endPoint = points[index + 1];
- let line = Map_QM.util.getParallelLine(startPoint, endPoint, wallWidth);
- lines.push(line);
- }
- //生成线段对应的左右两侧平行线
- for (let index = 0; index < lines.length - 1; index++) {
- let start = lines[index];
- let end = lines[index + 1];
- if (
- start.leftParLine != null &&
- start.rightParLine != null &&
- end.leftParLine != null &&
- end.rightParLine != null
- ) {
- start.leftPoint = Map_QM.util.getIntersectionByLines(
- start.leftParLine,
- end.leftParLine
- );
- start.rightPoint = Map_QM.util.getIntersectionByLines(
- start.rightParLine,
- end.rightParLine
- );
- }
- }
- //循环线段列表 获取墙体所有点位 顺序为 左侧起始点->左侧所有交点->左侧结束点->右侧结束点->右侧所有交点->右侧起始点
- let leftPointList = new Array();
- let rightPointList = new Array();
- for (let index = 0; index < lines.length; index++) {
- //第一条线段 记录左右两侧平行线的起点坐标
- if (index == 0) {
- leftPointList.push(lines[index].leftParLine.start);
- rightPointList.push(lines[index].rightParLine.start);
- }
- //最后一条线段 记录左右两侧平行线的终点坐标
- if (index == lines.length - 1) {
- leftPointList.push(lines[index].leftParLine.end);
- rightPointList.push(lines[index].rightParLine.end);
- } else {
- //记录线段左右平行线交点坐标
- if (
- !isNaN(lines[index].leftPoint.x) ||
- !isNaN(lines[index].leftPoint.y) ||
- !isNaN(lines[index].rightPoint.x) ||
- !isNaN(lines[index].rightPoint.y)
- ) {
- leftPointList.push(lines[index].leftPoint);
- rightPointList.push(lines[index].rightPoint);
- }
- }
- }
- rightPointList.reverse();
- return leftPointList.concat(rightPointList);
- };
- //生成线段左右两侧的平行线
- this.getParallelLine = function (start, end, wallWidth) {
- let line = new Map_QM.util.WallLine(start, end);
- //计算当前线段的斜率
- let gradient = (start.y - end.y) / (start.x - end.x);
- //计算垂直线的斜率
- let perGradient = -1 / gradient;
- //获取垂直线上左右两侧 与当前点位相距一定距离的两个定点
- let startResult = Map_QM.util.getParallelPoints( perGradient, start, wallWidth);
- let endResult = Map_QM.util.getParallelPoints(perGradient, end, wallWidth);
- let x1 = startResult[0].x;
- let y1 = startResult[0].y;
- let x2 = endResult[0].x;
- let y2 = endResult[0].y;
- let x3 = end.x;
- let y3 = end.y;
- let x4 = startResult[1].x;
- let y4 = startResult[1].y;
- let x5 = endResult[1].x;
- let y5 = endResult[1].y;
- let s = (x1 - x3) * (y2 - y3) - (y1 - y3) * (x2 - x3);
- //判断点位位于线段的左侧还是右侧
- if (s >= 0) {
- line.leftParLine = new Map_QM.util.WallLine(new Map_QM.util.Point(x1, y1), new Map_QM.util.Point(x2, y2));
- line.rightParLine = new Map_QM.util.WallLine(new Map_QM.util.Point(x4, y4), new Map_QM.util.Point(x5, y5));
- } else {
- line.leftParLine = new Map_QM.util.WallLine(new Map_QM.util.Point(x4, y4), new Map_QM.util.Point(x5, y5));
- line.rightParLine = new Map_QM.util.WallLine(new Map_QM.util.Point(x1, y1), new Map_QM.util.Point(x2, y2));
- }
- return line;
- };
- // 生成线段起始 和 结束 点位 对应的 两条 与线段垂直的直线 并记录坐标
- this.getParallelPoints = function (gradient, point, wallWidth) {
- let x, y;
- //斜率为无穷大时 计算不了垂直线 指定点位
- if (gradient == Number.NEGATIVE_INFINITY || gradient == Number.POSITIVE_INFINITY) {
- x = point.x;
- y = point.y + 5;
- } else {
- //不是横线时 根据斜率计算点位
- x = point.x + 5;
- y = gradient * (x - point.x) + point.y;
- }
-
- return Map_QM.util.pointXY(
- point,
- new Map_QM.util.Point(x, y),
- wallWidth / 2
- );
- };
- // 获取点位在直线上的坐标
- this.pointXY = function (curPoint, nextPoint, length) {
- let result = new Array();
- //x值相等 说明是竖线 只需增减y轴坐标
- if (curPoint.x == nextPoint.x) {
- result.push(new Map_QM.util.Point(curPoint.x, curPoint.y + length));
- result.push(new Map_QM.util.Point(curPoint.x, curPoint.y - length));
- return result;
- }
- //根据 斜率 和 距离 计算出对应的两个点位
- let k = (curPoint.y - nextPoint.y) / (curPoint.x - nextPoint.x);
- let b = curPoint.y - k * curPoint.x;
- let A = Math.pow(k, 2) + 1;
- let B = 2 * ((b - curPoint.y) * k - curPoint.x);
- let C =
- Math.pow(b - curPoint.y, 2) +
- Math.pow(curPoint.x, 2) -
- Math.pow(length, 2);
- let x1 = (-B + Math.sqrt(Math.pow(B, 2) - 4 * A * C)) / (2 * A);
- let x2 = (-B - Math.sqrt(Math.pow(B, 2) - 4 * A * C)) / (2 * A);
-
- result.push(new Map_QM.util.Point(x1, k * x1 + b));
- result.push(new Map_QM.util.Point(x2, k * x2 + b));
- return result;
- };
- //计算两条直线的相交点
- this.getIntersectionByLines = function (line1, line2) {
- //直线斜率
- let gradient1 =
- (line1.end.y - line1.start.y) / (line1.end.x - line1.start.x);
- let gradient2 =
- (line2.end.y - line2.start.y) / (line2.end.x - line2.start.x);
- //斜率差值小于一定范围 表示两条线近似平行 因为交点太远 可能超出屏幕 直接取线段中点为交点
- if (Math.abs(gradient1 - gradient2) < 0.1)
- return new Map_QM.util.Point(line1.end.x, line1.end.y);
- let x1 = line1.start.x;
- let y1 = line1.start.y;
- let x2 = line1.end.x;
- let y2 = line1.end.y;
- let x3 = line2.start.x;
- let y3 = line2.start.y;
- let x4 = line2.end.x;
- let y4 = line2.end.y;
-
- //计算交点坐标
- let x =
- ((x1 - x2) * (x3 * y4 - x4 * y3) - (x3 - x4) * (x1 * y2 - x2 * y1)) /
- ((x3 - x4) * (y1 - y2) - (x1 - x2) * (y3 - y4));
- let y =
- ((y1 - y2) * (x3 * y4 - x4 * y3) - (x1 * y2 - x2 * y1) * (y3 - y4)) /
- ((y1 - y2) * (x3 - x4) - (x1 - x2) * (y3 - y4));
- return new Map_QM.util.Point(x, y);
- };
- /**
- * 根据色值获取材质
- */
- this.getMeshMaterial = function (color, alphaModle = 0.9) {
- let meshMaterial;
- for (let k = 0; k < Map_QM.util.meshMaterialArr.length; k++) {
- let color2 = new THREE.Color(color);
- if (
- Map_QM.util.meshMaterialArr[k].color &&
- Map_QM.util.meshMaterialArr[k].color.equals(color2) &&
- Map_QM.util.meshMaterialArr[k].opacity == alphaModle
- ) {
- meshMaterial = Map_QM.util.meshMaterialArr[k];
- }
- }
- if (!meshMaterial) {
- meshMaterial = new THREE.MeshPhongMaterial({
- color: color,
- emissive: 0x000000,
- specular: 0x000000,
- transparent: true,
- side: THREE.DoubleSide,
- opacity: alphaModle,
- });
- Map_QM.util.meshMaterialArr.push(meshMaterial);
- }
- return meshMaterial;
- };
- this.rotateYZ = function (geometry, ry, rz) {
- let center = new THREE.Vector3();
- geometry.computeBoundingBox();
- geometry.boundingBox.getCenter(center);
- let x = center.x;
- let y = center.y;
- let z = center.z;
- geometry.center();
- geometry.rotateY(ry);
- geometry.rotateX(rz);
- geometry.translate(x, y, z);
- };
- //用于生成uuid
- this.guid = function () {
- function S4() {
- return (((1 + Math.random()) * 0x10000) | 0).toString(16).substring(1);
- }
- return S4() + S4() + S4();
- };
-
- this.getTextMesh = function (text, position) {
- const sprite = new SpriteText(text, 32, "#000000");
- sprite.padding = 2;
- sprite.fontSize = 32;
- sprite.strokeWidth = 2;
- sprite.renderOrder = 100;
- sprite.fontWeight = "500";
- sprite.material.transparent = true;
- sprite.material.alphaTest = 0.1;
- sprite.material.sizeAttenuation = false;
- sprite.position.set(position.x, position.y, position.z + 24);
- return sprite;
- };
-};
-//////////////////////////////-------------------------------------------配置 UtilFun
-/**
- * 地图主类，入口 初始化设备点位
- */
-var MainMap_QM = function (callBack, options) {
- this.util = new QMUtil();
- this.callBackLoadOver = callBack;
- this.ele = document.getElementById(options.containerId || "mapContainer");
- this.w = parseInt(this.ele.clientWidth) || parseInt(window.getComputedStyle(this.ele, null).getPropertyValue("width"));
- this.h = parseInt(this.ele.clientHeight) ||parseInt(window.getComputedStyle(this.ele, null).getPropertyValue("height"));
- this.backObj = { code: 200, msg: "加载成功", data: [] };
- this.scene = new THREE.Scene();
- this.scene.name = "scene";
- this.scene.fog = new THREE.Fog(0xe5e5e5,this.util.options.maxDis,this.util.options.maxDis + 500);
- this.aspect = this.w / this.h;
- this.cameraPerspective = new THREE.PerspectiveCamera(45,this.aspect,10,10000);
- this.cameraPerspective.position.set(this.util.sceneGap.cameraX,this.util.sceneGap.cameraY,this.util.sceneGap.cameraZ); //x 水平 y 垂直旋转 z 展示大小
- this.cameraPerspective.lookAt(new THREE.Vector3(0, 0, 0));
- this.camera = this.cameraPerspective;
- //
- this.renderer = new THREE.WebGLRenderer({ antialias: true, alpha: true }); // preserveDrawingBuffer 是否可以截图
- //this.renderer.outputEncoding = THREE.sRGBEncoding;
- this.renderer.setSize(this.w, this.h);
- this.renderer.setPixelRatio(window.devicePixelRatio);
- this.renderer.shadowMap.enabled = this.util.options.shadow;
- // 阴影类型
- this.renderer.shadowMap.type = THREE.PCFSoftShadowMap;
- this.ele.appendChild(this.renderer.domElement);
-
- this.labelRenderer = new THREE.CSS2DRenderer();
- //弹窗的偏移百分比 或者像素
- this.labelRenderer.setSize(this.w, this.h, options.perc_H || "-50%");
- this.labelRenderer.domElement.style.position = "absolute";
- this.labelRenderer.domElement.style.top = 0;
- this.ele.appendChild(this.labelRenderer.domElement);
-
- let light = new THREE.AmbientLight(0xffffff, 0.4);
- light.name = "light";
- this.scene.add(light);
- this.hemiLight = new THREE.HemisphereLight(this.util.lightOptions.s_col,this.util.lightOptions.g_col,this.util.lightOptions.a_int);
- this.hemiLight.name = "light";
- this.hemiLight.position.set(0, 1, 0);
- this.scene.add(this.hemiLight);
-
- this.shawLight = new THREE.DirectionalLight(this.util.lightOptions.d_col,this.util.lightOptions.d_int);
- this.shawLight.name = "light";
- this.shawLight.position.set(280, 400, -300);
- this.shawLight.castShadow = this.util.options.shadow; //阴影
- this.shawLight.shadow.camera.top = 200;
- this.shawLight.shadow.camera.bottom = -200;
- this.shawLight.shadow.camera.right = 200;
- this.shawLight.shadow.camera.left = -200;
- this.shawLight.shadow.camera.far = 800;
- this.shawLight.shadow.camera.near = 100;
- this.shawLight.shadow.bias = -0.001;
- this.shawLight.shadow.darkness = 0.3;
- this.shawLight.shadow.mapSize.set(2048, 2048);
- this.scene.add(this.shawLight);
-
- this.controls = new THREE.OrbitControls(this.camera, this.ele);
- this.controls.minZoom = 0.8;
- this.controls.maxZoom = 2;
- //设置相机距离原点的最远距离
- this.controls.minDistance = this.util.options.minDis;
- //设置相机距离原点的最远距离
- this.controls.maxDistance = this.util.options.maxDis;
- this.controls.minPolarAngle = 0; // 0是为了兼容2D模式
- this.controls.maxPolarAngle = Math.PI / 2 - 0.2; // radians
-
- const sykVShader = `varying vec3 vWorldPosition;
- void main() {
- vec4 worldPosition = modelMatrix * vec4( position, 1.0 );
- vWorldPosition = worldPosition.xyz;
- gl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );
- }`;
- const skyFShader = `uniform vec3 topColor;
- uniform vec3 bottomColor;
- uniform float offset;
- uniform float exponent;
- varying vec3 vWorldPosition;
- void main() {
- float h = normalize( vWorldPosition + offset ).y;
- float alpha = h > 0.0 ? 1.0 : 0.0;
- gl_FragColor = vec4( mix( bottomColor, topColor, max( pow( max( h , 0.0), exponent ), 0.0 ) ), alpha );
- }`;
- const uniforms = {
- topColor: { value: new THREE.Color(0x3385ff) },
- bottomColor: { value: new THREE.Color(0xe6e6e6) },
- offset: { value: 30 },
- exponent: { value: 0.6 },
- };
- const skyGeo = new THREE.SphereGeometry(this.util.options.maxDis * 2, 16, 16);
- const skyMat = new THREE.ShaderMaterial({
- uniforms: uniforms,
- vertexShader: sykVShader,
- fragmentShader: skyFShader,
- side: THREE.BackSide,
- transparent: true,
- });
-
- const sky = new THREE.Mesh(skyGeo, skyMat);
- sky.name = "light";
- this.scene.add(sky);
-
- this.ele.addEventListener("touchmove", this.mouseMove);
- this.ele.addEventListener("touchend", this.mouseUp);
- this.ele.addEventListener("click", this.onMouseClickBox); //地图点击
- document.addEventListener("resize", this.changeDocmentResize); //窗口变化
- this.mapArr = [];
- this.spriteList = [];
- this.selectShop;
- this.selectEle = null; //当前使用的电梯
- this.overShop; //终点店铺
- this.shape = new THREE.Shape();
- this.shape.moveTo(-10, -10);
- this.shape.lineTo(10, -10);
- this.shape.lineTo(10, 10);
- this.shape.lineTo(-10, 10);
- this.dtLineGroup = new THREE.Group();
- this.dtLineGroup.name = "dtLine";
-
- if (document.getElementById("moveFloorBG")) {
- document.getElementById("moveFloorBG").style.zIndex = 500;
- this.moveFloorbg = new THREE.CSS2DObject(
- document.getElementById("moveFloorBG")
- );
- this.moveFloorbg.userData.isShow = false;
- }
- this.mixers = [];
- this.man_3d = null;
- this.man_2d = null;
- this.guide = null;
- this.devModel = null;
- this.sceneGap = new THREE.Group();
- this.outModelGap = new THREE.Group(); //全局外立面模型
- this.scene.add(this.outModelGap);
- this.peripheryGap = new THREE.Group(); //周边模型
- this.scene.add(this.peripheryGap);
- this.outObject = new THREE.Object3D();
- this.outObject.userData.type = "moveFloor";
- this.perObject = new THREE.Object3D();
- this.perObject.userData.type = "moveFloor";
- this.buildObj = new THREE.Group();
- this.qiModel = null; //起点
- this.qiIcon = null; //起点Icon
- this.endIcon = null; //终点Icon
- this.endModel = null;
- this.forShopArr = []; //途径数据
- this.getInstance(options);
- if (this.util.options.northShow) {
- this.util.img = document.createElement("img");
- this.util.img.src = "./static/img/noth.png";
- this.util.img.classList.add("north");
- this.ele.appendChild(this.util.img);
- }
-};
-MainMap_QM.prototype = {
- resetModel: function () {
- if (mapState == "mall") {
- Map_QM.buildObj.visible = true;
- Map_QM.controls.reset();
- startRotate = false;
- Map_QM.controls.setDistance(Map_QM.util.changeDist.inner - 25);
- } else if (mapState == "out") {
- Map_QM.controls.reset();
- Map_QM.controls.setDistance(Map_QM.util.changeDist.inner + 30);
- Map_QM.outModelGap.rotateY(-1 * Map_QM.outModelGap.rotation.y);
- startRotate = true;
- } else {
- Map_QM.controls.reset();
- Map_QM.controls.setDistance(Map_QM.util.changeDist.outner + 25);
- startRotate = false;
- }
- Map_QM.controls.update();
- renderCount = 0;
- },
- //隐藏活动标签（万象定制）
- mouseMove: function () {
- Map_QM.CSSObject && Map_QM.CSSObject.traverse((obj) => {
- if (obj.userData.type == "tip") {
- obj.element.style.visibility = "hidden";
- }
- });
- },
- //显示活动标签（万象定制）
- mouseUp: function () {
- Map_QM.CSSObject && Map_QM.CSSObject.traverse((obj) => {
- if (obj.userData.type == "tip") {
- obj.element.style.visibility = parseInt(obj.userData.floor) == Map_QM.util.selectFloor ? "visible": "hidden";
- }
- });
- },
-
- /**
- * @api {方法} getPointByNode() 获取导航点位的坐标
- * @apiGroup 地图交互
- * @apiDescription 获取导航点位的坐标
- * @apiVersion 4.0.0
- * @apiParam {String} str 导航点位
- *
- * @apiSampleRequest off
- * @apiParamExample {String} 请求示例
- *
- * Map_QM.getPointByNode("0_0_1");
- */
- getPointByNode: function (str) {
- let nodes = str.split("_");
- if (nodes.length > 2 && !isNaN(parseInt(nodes[2])) && parseInt(nodes[2])>=0) {
- Map_QM.util.allMap[nodes[0]].buildArr[nodes[1]].mapData.path.nodes.sort(Map_QM.util.sortNode);
- return Map_QM.util.allMap[nodes[0]].buildArr[nodes[1]].mapData.path.nodes[nodes[2]];
- }else{
- return {x:-5000,y:-5000,msg:"未打点"};
- }
- },
- getInstance: function (options) {
- this.util.startObj.build = this.util.deviceObj.build = parseInt(options.build) || 0;
- this.util.startObj.node = this.util.deviceObj.node = parseInt(options.navPoint) || 1;
- this.util.deviceObj.angle = parseInt(options.angle) || 0;
- this.util.selectBuild = this.util.deviceObj.build;
- let _space = this;
- if (options.mallCode) {
- let tim = this.util.timeStamp();
- this.util.requestNoJM({
- method: "GET",
- url: options.url + "/api/info/v1/web/getUploadUrl",
- success: (res) => {
- let resText = res.data;
- if (typeof resText === "string" &&resText.search("https://") === -1) {
- resText = JSON.parse(_space.util.decrypt(res.data));
- }
- _space.tomUrl = resText;
- this.util.requestNoJM({
- method: "GET",
- url: _space.tomUrl + "/ar/" + options.mallCode +"/config.json?a=" +tim,
- success: (res) => {
- _space.util.shopServerInfo = res.shopUrl;
- _space.util.mapServerInfo = res.mapUrl;
- _space.initLoadMapFile(options);
- },
- fail: () => {
- _space.backObj.code = 404;
- _space.backObj.msg = "地图数据获取失败";
- _space.callBackLoadOver(_space.backObj);
- _space.callBackLoadOver = null;
- },
- });
- },
- fail: () => {
- this.util.requestNoJM({
- method: "GET",
- url: _space.tomUrl +"/ar/" +options.mallCode +"/config.json?a=" +tim,
- success: (res) => {
- _space.util.shopServerInfo = res.shopUrl;
- _space.util.mapServerInfo = res.mapUrl;
- _space.initLoadMapFile(options);
- },
- fail: () => {
- _space.backObj.code = 404;
- _space.backObj.msg = "地图数据获取失败";
- _space.callBackLoadOver(_space.backObj);
- _space.callBackLoadOver = null;
- },
- });
- },
- });
- } else {
- if (options.mapData) {
- try {
- _space.util.allMap = JSON.parse(options.mapData.mapData);
- console.log("地图数据更新时间: " + options.mapData.updateTime);
- } catch (e) {
- window.captureException && window.captureException(e);
- console.log(e);
- _space.backObj.code = 404;
- _space.backObj.msg = "地图数据JSON格式错误";
- _space.callBackLoadOver(_space.backObj);
- return;
- }
- _space.util.shopData = options.shopData;
- _space.initOptions(options);
- } else {
- _space.initLoadMapFile(options);
- }
- }
- },
-
- initLoadMapFile: function (options) {
- let _space = this;
- _space.util.readTextFile(_space.util.mapServerInfo, function (res) {
- if (res) {
- try {
- if (Array.isArray(res.data)) {
- for (let map of res.data) {
- _space.util.allMap = JSON.parse(map.mapData);
- }
- } else {
- _space.util.allMap = JSON.parse(res.data.mapData);
- console.log("地图数据更新时间: " + res.data.updateTime);
- }
- } catch (e) {
- window.captureException && window.captureException(e);
- console.log(e);
- _space.backObj.code = 404;
- _space.backObj.msg = "地图数据JSON格式错误";
- _space.callBackLoadOver(_space.backObj);
- _space.callBackLoadOver = null;
- return;
- }
- _space.util.readTextFile(_space.util.shopServerInfo, function (res) {
- _space.util.shopData = [];
- if (res) {
- console.log("shopData: ",res.data);
- res.data.forEach((item) => {
- for (let shop of item) {
- _space.util.shopData.push(...shop.shopList);
- }
- });
- }
- _space.initOptions(options);
- });
- } else {
- _space.backObj.code = 404;
- _space.backObj.msg = "地图数据JSON格式错误";
- _space.callBackLoadOver(_space.backObj);
- _space.callBackLoadOver = null;
- return;
- }
- });
- },
-
- initOptions: function (options) {
- //初始化参数
- if (this.util.allMap[this.util.selectBuild].playSpeed) {
- this.util.allMap[this.util.selectBuild].hasOwnProperty("scale") && (this.util.options.mapScale = parseInt(this.util.allMap[this.util.selectBuild].scale));
- this.util.allMap[this.util.selectBuild].hasOwnProperty("playSpeed") && (this.util.options.playSpeed = parseInt( this.util.allMap[this.util.selectBuild].playSpeed));
- this.util.allMap[this.util.selectBuild].hasOwnProperty("collision") && (this.util.options.collision = this.util.allMap[this.util.selectBuild].collision);
- this.util.allMap[this.util.selectBuild].hasOwnProperty("navColor") && (this.util.options.navColor = this.util.allMap[this.util.selectBuild].navColor);
- this.util.allMap[this.util.selectBuild].hasOwnProperty("aRadius") && (this.util.options.aRadius = parseInt( this.util.allMap[this.util.selectBuild].aRadius));
- this.util.allMap[this.util.selectBuild].hasOwnProperty("boxShop") && (this.util.options.boxShop = this.util.allMap[this.util.selectBuild].boxShop.split(","));
- this.util.allMap[this.util.selectBuild].hasOwnProperty("shopStyle") && (this.util.options.shopStyle = this.util.allMap[this.util.selectBuild].shopStyle);
- this.util.allMap[this.util.selectBuild].hasOwnProperty("modelIcon") && (this.util.options.modelIcon = this.util.allMap[this.util.selectBuild].modelIcon);
- this.util.allMap[this.util.selectBuild].hasOwnProperty("facSize") && (this.util.options.facSize = this.util.allMap[this.util.selectBuild].facSize);
- this.util.allMap[this.util.selectBuild].hasOwnProperty("m_scale") && (this.util.sceneGap.scale = this.util.allMap[this.util.selectBuild].m_scale);
- //根据地图大小同步修改字体大小
- spriteScale = 0.2-(this.util.sceneGap.scale-0.08);
-
- if (this.util.allMap[this.util.selectBuild].hasOwnProperty("m_shadow")) {
- this.util.options.shadow = this.util.allMap[this.util.selectBuild].m_shadow;
- }
-
- this.hemiLight.color = new THREE.Color(this.util.allMap[this.util.selectBuild].s_col || "#fffff0");
- this.hemiLight.groundColor = new THREE.Color(this.util.allMap[this.util.selectBuild].g_col || "#ffffff");
- this.hemiLight.intensity = this.util.allMap[this.util.selectBuild].a_int || 0.6;
- this.shawLight.color = new THREE.Color( this.util.allMap[this.util.selectBuild].d_col || "#ffffff");
- this.shawLight.intensity = this.util.allMap[this.util.selectBuild].d_int || 0.3;
-
- if (this.util.allMap[this.util.selectBuild].c_site && this.util.allMap[this.util.selectBuild].c_site.split(",")) {
- this.util.sceneGap.cameraX = parseInt(this.util.allMap[this.util.selectBuild].c_site.split(",")[0]) || this.util.sceneGap.cameraX;
- this.util.sceneGap.cameraY = parseInt(this.util.allMap[this.util.selectBuild].c_site.split(",")[1]) || this.util.sceneGap.cameraY;
- this.util.sceneGap.cameraZ = parseInt(this.util.allMap[this.util.selectBuild].c_site.split(",")[2]) || this.util.sceneGap.cameraZ;
- }
- if (this.util.allMap[this.util.selectBuild].m_site && this.util.allMap[this.util.selectBuild].m_site.split(",")) {
- this.util.sceneGap.x = parseInt(this.util.allMap[this.util.selectBuild].m_site.split(",")[0]) || this.util.sceneGap.x;
- this.util.sceneGap.y = parseInt(this.util.allMap[this.util.selectBuild].m_site.split(",")[1]) || this.util.sceneGap.y;
- this.util.sceneGap.z = parseInt(this.util.allMap[this.util.selectBuild].m_site.split(",")[2]) || this.util.sceneGap.z;
- }
- if (this.util.allMap[this.util.selectBuild].m_zoom) {
- this.util.m_zoom = this.util.allMap[this.util.selectBuild].m_zoom;
- }
- }
- let { playSpeed, collision, modelIcon, shopStyle, shadow, otherPath, navColor, iconUrl, iconName, inArea, pathColor, pathStyle} = options;
-
- this.util.options.playSpeed = playSpeed != undefined ? playSpeed : this.util.options.playSpeed;
- this.util.options.collision = collision != undefined ? collision : this.util.options.collision;
- this.util.options.modelIcon = modelIcon != undefined ? modelIcon : this.util.options.modelIcon;
- this.util.options.shadow = shadow != undefined ? shadow : this.util.options.shadow;
- this.util.options.shopStyle = shopStyle != undefined ? shopStyle : this.util.options.shopStyle;
- this.util.options.otherPath = otherPath != undefined ? otherPath : this.util.options.otherPath;
- this.util.options.navColor = navColor != undefined ? navColor : this.util.options.navColor;
- this.util.options.iconName = iconName != undefined ? iconName : this.util.options.iconName;
- this.util.options.inArea = inArea != undefined ? inArea : this.util.options.inArea;
- this.util.options.pathColor = pathColor != undefined ? pathColor : this.util.options.pathColor;
- this.util.options.pathStyle = pathStyle != undefined ? pathStyle : this.util.options.pathStyle;
- this.util.iconUrl = iconUrl != undefined ? iconUrl : [];
- this.renderer.shadowMap.enabled = this.util.options.shadow;
- this.shawLight.castShadow = this.util.options.shadow; //阴影
-
- if (!isNaN(Number(options.floor))) {
- this.util.startObj.floor = this.util.deviceObj.floor = parseInt(options.floor) || 0;
- } else {
- if (Array.isArray(this.util.allMap)) {
- for (var iii = 0; iii < this.util.allMap[this.util.startObj.build].buildArr.length; iii++) {
- if (this.util.allMap[this.util.startObj.build].buildArr[iii].name == options.floor) {
- this.util.startObj.floor = this.util.deviceObj.floor = this.util.allMap[this.util.startObj.build].buildArr[iii].order;
- break;
- }
- }
- }
- }
- //
- for (let k = 0; k < this.util.allMap.length; k++) {
- for (let kk = 0; kk < this.util.allMap[k].buildArr.length; kk++) {
- let floor = this.util.allMap[k].buildArr[kk].mapData;
- if (floor.models) {
- for (let t = 0; t < floor.models.length; t++) {
- for (let i = 0; i < this.util.modelStr.length; i++) {
- if (floor.models[t].type == this.util.modelStr[i].key) {
- this.util.modelStr[i].load = true;
- break;
- }
- }
- }
- }
- }
- }
-
- try {
- this.initOutModel();
- } catch (e) {
- window.captureException && window.captureException(e);
- this.callBackLoadOver({ code: 404, msg: "地图数据解析失败" });
- this.callBackLoadOver = null;
- }
- },
- //加载全局模型
- initOutModel: function () {
- let _this = this;
- if (this.util.initModelArr && this.util.initModelArr.length > 0) {
- for (let i = 0; i < _this.util.initModelArr.length; i++) {
- let loader = new THREE.GLTFLoader();
- loader.load( _this.util.beforPath + _this.util.initModelArr[i].url,
- function (collada) {
- collada.scene.scale.x = collada.scene.scale.y =collada.scene.scale.z = _this.util.initModelArr[i].scale;
- collada.scene.position.set( _this.util.initModelArr[i].site.x, _this.util.initModelArr[i].site.y,_this.util.initModelArr[i].site.z);
- collada.scene.rotation.set((_this.util.initModelArr[i].rot.x * Math.PI) / 180, (_this.util.initModelArr[i].rot.y * Math.PI) / 180,(_this.util.initModelArr[i].rot.z * Math.PI) / 180);
- collada.scene.userData.type = _this.util.initModelArr[i].type;
- for (let k = 0; k < collada.animations.length; k++) {
- let mixer = new THREE.AnimationMixer(collada.scene);
- mixer.clipAction(collada.animations[k]).play();
- _this.mixers.push(mixer);
- }
- //////////////////////////////////////////////
- collada.scene.traverse(function (child) {
- if (child.type === "Mesh") {
- child.castShadow = _this.util.options.shadow;
- child.receiveShadow = _this.util.options.shadow;
- child.userData.opacity = child.material.opacity;
- if (child.material.map) {
- child.material.map.encoding = THREE.LinearEncoding; //贴图需要转换成 线性编码
- }
- }
- });
- collada.scene.name = "model"; //删除其它元素时过滤
- if (_this.util.initModelArr[i].type == "out") {
- _this.outModelGap.add(collada.scene);
- } else if (_this.util.initModelArr[i].type == "periphery") {
- _this.peripheryGap.add(collada.scene);
- }
- }
- );
- if (i == _this.util.initModelArr.length - 1) {
- for (let u = 0; u < _this.util.tipArr.length; u++) {
- let prite = document.createElement("div");
- prite.style.zIndex = _this.util.tipArr[u].zIndex || 20;
- prite.innerHTML = _this.util.tipArr[u].htmlUrl;
- if (!_this.util.tipArr[u].click) {
- prite.style.pointerEvents = "none";
- }
- let pointLabel2 = new THREE.CSS2DObject(prite);
- pointLabel2.position.set(_this.util.tipArr[u].x, _this.util.tipArr[u].z, _this.util.tipArr[u].y);
- pointLabel2.userData.type = "2d_IP";
- pointLabel2.userData.show = _this.util.tipArr[u].show;
- pointLabel2.userData.name = _this.util.tipArr[u].name || "";
- if (pointLabel2.userData.show == language) {
- pointLabel2.element.style.visibility = "visible";
- } else {
- pointLabel2.element.style.visibility = "hidden";
- }
- if (_this.util.tipArr[u].type == "out") {
- _this.outObject.add(pointLabel2);
- } else if (_this.util.tipArr[u].type == "periphery") {
- _this.perObject.add(pointLabel2);
- }
- }
- _this.initBuild();
- }
- }
- } else {
- _this.util.changeDist.inner = _this.util.options.maxDis;
- _this.initBuild();
- }
- },
- changePerTag: function (str) {
- if (mapState == "periphery") {
- Map_QM.perObject.traverse(function (child) {
- if (child.userData && child.userData.show) {
- if (child.userData.show.includes(str)) {
- child.element.style.visibility = "visible";
- } else {
- child.element.style.visibility = "hidden";
- }
- }
- });
- Map_QM.peripheryGap.children[0].traverse(function (obj) {
- if (obj.name == "road") {
- obj.traverse(function (child) {
- if (child.type === "Mesh" && child.name.search("road_") != -1) {
- child.visible = false;
- }
- });
- }
- });
- }
- },
- initBuild: function () {
- this.util.pathStateObj.elevator = null;
- this.util.pathStateObj.straight = null;
- this.util.pathStateObj.elevatorDown = null;
- let loader2 = new THREE.GLTFLoader();
- let _this = this;
- loader2.load(this.util.beforPath + "static/img/zhong.glb",
- function (collada2) {
- collada2.scene.scale.x = collada2.scene.scale.y = collada2.scene.scale.z = 100;
- collada2.scene.applyMatrix4(_this.sceneGap.matrix);
- collada2.scene.renderOrder = 200;
- collada2.scene.traverse(function (child) {
- if (child.type === "Mesh") {
- child.castShadow = _this.util.options.shadow;
- child.receiveShadow = _this.util.options.shadow;
- child.userData.opacity = child.material.opacity;
- if (child.material.map) {
- child.material.map.encoding = THREE.LinearEncoding; //贴图需要转换成 线性编码
- }
- }
- });
- collada2.scene.name = "Z-model";
- for (let k = 0; k < collada2.animations.length; k++) {
- let mixer = new THREE.AnimationMixer(collada2.scene);
- mixer.clipAction(collada2.animations[k]).play();
- Map_QM.mixers.push(mixer);
- }
- _this.endModel = collada2.scene;
- _this.scene.add(collada2.scene);
- _this.endModel.visible = false;
- }
- );
-
- let spriteMap = new THREE.TextureLoader().load(
- _this.util.beforPath + "static/img/Z.png"
- );
- let spriteMaterial = new THREE.SpriteMaterial({
- //sizeAttenuation: false 禁止跟随鼠标缩放
- map: spriteMap,
- depthTest: true,
- transparent: true,
- alphaTest: 0.5,
- });
- _this.endIcon = new MySprite_QM(spriteMaterial);
- _this.endIcon.scale.set(100, 120, 1);
- _this.endIcon.center = new THREE.Vector2(0.5, 0);
- _this.endIcon.position.set(0, 55, 0);
- _this.endIcon.applyMatrix4(_this.sceneGap.matrix);
- _this.endIcon.renderOrder = 300;
- _this.endIcon.visible = false;
- _this.endIcon.name = "Z-model";
- _this.scene.add(_this.endIcon);
- if (_this.util.options.modelIcon) {
- let loader = new THREE.GLTFLoader();
- loader.load(_this.util.beforPath + "static/img/elevator.gltf",
- function (collada) {
- collada.scene.scale.x = collada.scene.scale.y = collada.scene.scale.z = _this.util.options.facSize || 20;
- collada.scene.rotation.x = (-90 * Math.PI) / -180;
- collada.scene.renderOrder = 300;
- _this.util.pathStateObj.elevator = collada.scene;
-
- new THREE.GLTFLoader().load(_this.util.beforPath + "static/img/elevatorDown.gltf",
- function (collada) {
- collada.scene.scale.x = collada.scene.scale.y = collada.scene.scale.z = _this.util.options.facSize || 20;
- collada.scene.rotation.x = (-90 * Math.PI) / -180;
- collada.scene.renderOrder = 300;
- _this.util.pathStateObj.elevatorDown = collada.scene;
-
- new THREE.GLTFLoader().load(_this.util.beforPath + "static/img/dt.gltf",
- function (collada) {
- collada.scene.scale.x = collada.scene.scale.y = collada.scene.scale.z = _this.util.options.facSize || 20;
- collada.scene.rotation.x = (-90 * Math.PI) / -180;
- collada.scene.renderOrder = 300;
- _this.util.pathStateObj.straight = collada.scene;
- _this.index = 0;
- _this.initTreeModel();
- }
- );
- }
- );
- }
- );
- } else {
- _this.index = 0;
- _this.initTreeModel();
- }
- },
- loaderOver: function () {
- this.sceneGap = new THREE.Group();
- this.sceneGap.scale.set(this.util.sceneGap.scale, this.util.sceneGap.scale, this.util.sceneGap.scale);
- this.scene.add(this.sceneGap);
- this.buildObj = new THREE.Group();
- this.sceneGap.add(this.buildObj);
- this.CSSObject = new THREE.Object3D();
- if (this.moveFloorbg) {
- this.moveFloorbg.userData.type = "moveFloor";
- this.CSSObject.add(this.moveFloorbg);
- }
- this.CSSObject.add(this.outObject);
- this.CSSObject.add(this.perObject);
- this.buildObj.add(this.CSSObject);
- this.buildObj.add(this.dtLineGroup);
- this.initGuide();
- if (!this.util.options.deviceAng) {
- this.cameraPerspective.position.set(this.util.sceneGap.cameraX, this.util.sceneGap.cameraY, this.util.sceneGap.cameraZ );
- this.cameraPerspective.updateProjectionMatrix(); //必须update
- this.controls.target.set(this.util.sceneGap.x, this.util.sceneGap.y, this.util.sceneGap.z);
- }
- let pathData = this.util.allMap[parseInt(this.util.deviceObj.build)].buildArr[parseInt(this.util.deviceObj.floor)].mapData.path;
- pathData && pathData.nodes.sort(this.util.sortNode);
- if (parseInt(this.util.deviceObj.node) != -1) {
- if (pathData &&pathData.nodes.length > parseInt(this.util.deviceObj.node)) {
- this.util.deviceObj.xaxis = pathData.nodes[parseInt(this.util.deviceObj.node)].x;
- this.util.deviceObj.yaxis = pathData.nodes[parseInt(this.util.deviceObj.node)].y;
- }
- }
- this.util.pathStateObj.facAllArr = [];
- this.mapArr.length = 0;
- this.util.pathStateObj.basePath = "{";
- for (let bd = 0; bd < this.util.allMap.length; bd++) {
- for (let i = 0; i < this.util.allMap[bd].buildArr.length; i++) {
- this.convertPath(bd, i);
- }
- }
- if (this.util.pathStateObj.basePath.length > 1) {
- this.util.pathStateObj.basePath = this.util.pathStateObj.basePath.substr(0,this.util.pathStateObj.basePath.length - 1);
- }
- this.util.pathStateObj.basePath += "}";
- let bjP = JSON.parse(this.util.pathStateObj.basePath);
- if (this.util.options.otherPath) {
- //如果多楼栋需要配置楼栋之间通行路径
- for (let item of this.util.options.otherPath) {
- bjP[item.f][item.s] = item.d;
- bjP[item.s][item.f] = item.d;
- }
- }
- //初始化基础路径；
- let jcStr = JSON.stringify(bjP);
- let graphPathObj = JSON.parse(jcStr);
- let ftPathObj = JSON.parse(jcStr);
- let dtPathObj = JSON.parse(jcStr);
- let basePathObj = JSON.parse(jcStr);
- try {
- for (let j = 0; j < this.util.pathStateObj.facAllArr.length; j++) {
- for (let k = 0; k < this.util.pathStateObj.facAllArr[j].length; k++) {
- let facP =this.util.pathStateObj.facAllArr[j][k].buildOrder +"_" + this.util.pathStateObj.facAllArr[j][k].floorOrder +"_" +this.util.pathStateObj.facAllArr[j][k].navCode;
- for (let h = 0; h < this.util.pathStateObj.facAllArr[j].length; h++) {
- if (h != k && this.util.pathStateObj.facAllArr[j][k].buildOrder ==this.util.pathStateObj.facAllArr[j][h].buildOrder) {
- let nP =this.util.pathStateObj.facAllArr[j][h].buildOrder +"_" +this.util.pathStateObj.facAllArr[j][h].floorOrder +"_" + this.util.pathStateObj.facAllArr[j][h].navCode;
- if (this.util.pathStateObj.facAllArr[j][h].facCode == "dt") {
- ftPathObj[facP][nP] =200000 +2000 * Math.abs(parseInt(this.util.pathStateObj.facAllArr[j][h].floorOrder)-parseInt(this.util.pathStateObj.facAllArr[j][k].floorOrder));
- if (this.util.pathStateObj.seldtFacNo.type == "dt" &&this.util.pathStateObj.facAllArr[j][k].no == this.util.pathStateObj.seldtFacNo.no) {
- graphPathObj[facP][nP] =2000 +300 *Math.abs(parseInt( this.util.pathStateObj.facAllArr[j][h].floorOrder) - parseInt(this.util.pathStateObj.facAllArr[j][k].floorOrder));
- } else {
- graphPathObj[facP][nP] =5000 +600 * Math.abs(parseInt(this.util.pathStateObj.facAllArr[j][h].floorOrder) -parseInt(this.util.pathStateObj.facAllArr[j][k].floorOrder));
- }
- dtPathObj[facP][nP] = 5000 +800 *Math.abs(parseInt(this.util.pathStateObj.facAllArr[j][h].floorOrder)-parseInt(this.util.pathStateObj.facAllArr[j][k].floorOrder));
- basePathObj[facP][nP] = 600 +200 * Math.abs(parseInt(this.util.pathStateObj.facAllArr[j][h].floorOrder) - parseInt(this.util.pathStateObj.facAllArr[j][k].floorOrder ));
- } else if (
- this.util.pathStateObj.facAllArr[j][h].facCode == "td"
- ) {
- graphPathObj[facP][nP] =4000 +800 * Math.abs( parseInt( this.util.pathStateObj.facAllArr[j][h].floorOrder) - parseInt(this.util.pathStateObj.facAllArr[j][k].floorOrder));
- ftPathObj[facP][nP] = 4000 +800 * Math.abs(parseInt(this.util.pathStateObj.facAllArr[j][h].floorOrder) -parseInt(this.util.pathStateObj.facAllArr[j][k].floorOrder ));
- dtPathObj[facP][nP] = 4000 + 800 * Math.abs(parseInt(this.util.pathStateObj.facAllArr[j][h].floorOrder) - parseInt(this.util.pathStateObj.facAllArr[j][k].floorOrder));
- basePathObj[facP][nP] = 800 *Math.abs(parseInt(this.util.pathStateObj.facAllArr[j][h].floorOrder) -parseInt( this.util.pathStateObj.facAllArr[j][k].floorOrder ));
- } else {
- dtPathObj[facP][nP] =200000 +2000 * Math.abs(parseInt( this.util.pathStateObj.facAllArr[j][h].floorOrder) - parseInt(this.util.pathStateObj.facAllArr[j][k].floorOrder) );
- if (this.util.pathStateObj.seldtFacNo.type == "ft" &&this.util.pathStateObj.seldtFacNo.no.search(this.util.pathStateObj.facAllArr[j][k].no + ",") != -1) {
- graphPathObj[facP][nP] = 2000 + 300 *Math.abs( parseInt(this.util.pathStateObj.facAllArr[j][h].floorOrder) -parseInt(this.util.pathStateObj.facAllArr[j][k].floorOrder));
- } else {
- graphPathObj[facP][nP] = 5000 +600 * Math.abs( parseInt(this.util.pathStateObj.facAllArr[j][h].floorOrder) -parseInt(this.util.pathStateObj.facAllArr[j][k].floorOrder) );
- }
- ftPathObj[facP][nP] = 5000 + 800 * Math.abs(parseInt(this.util.pathStateObj.facAllArr[j][h].floorOrder) -parseInt(this.util.pathStateObj.facAllArr[j][k].floorOrder));
- basePathObj[facP][nP] = 100 + 400 *Math.abs(parseInt(this.util.pathStateObj.facAllArr[j][h].floorOrder)-parseInt(this.util.pathStateObj.facAllArr[j][k].floorOrder));
- }
- }
- }
- }
- }
- } catch (e) {
- window.captureException && window.captureException(e);
- console.log("交通设施点位问题: " + e);
- }
-
- this.util.pathStateObj.graphPath = graphPathObj;
- this.util.pathStateObj.ftPath = ftPathObj;
- this.util.pathStateObj.dtPath = dtPathObj;
- this.util.pathStateObj.basePath = basePathObj;
- var fIndex = 0, bIndex = 0;
- this.mapArr[bIndex] = [];
- this.spriteList[bIndex] = [];
- intTimer = setInterval(() => {
- if (!Map_QM.util.allMap[bIndex].buildArr[fIndex]) {
- clearInterval(intTimer);
- this.initFloor();
- return;
- }
- if (!this.spriteList[bIndex]) {
- this.spriteList[bIndex] = [];
- }
- this.spriteList[bIndex].push([]);
- let floor = new FloorMap_QM(bIndex, fIndex, Map_QM.util.allMap[bIndex].buildArr[fIndex].name );
- floor.floorName = Map_QM.util.allMap[bIndex].buildArr[fIndex].name;
- floor.initDraw();
- floor.allObj.position.set(bIndex * Map_QM.util.options.bSpace, 0, 0);
- if (fIndex != parseInt(Map_QM.util.deviceObj.floor)) {
- floor.allObj.visible = false;
- }
- this.buildObj.add(floor.allObj);
- this.mapArr[bIndex].push(floor);
- fIndex++;
- if (fIndex >= Map_QM.util.allMap[bIndex].buildArr.length) {
- if (bIndex == Map_QM.util.allMap.length - 1) {
- clearInterval(intTimer);
- let pathData = Map_QM.util.allMap[parseInt(Map_QM.util.deviceObj.build)].buildArr[parseInt(Map_QM.util.deviceObj.floor)].mapData.path;
- if (Map_QM.util.deviceObj.xaxis) {
- Map_QM.mapArr[parseInt(Map_QM.util.deviceObj.build)][parseInt(Map_QM.util.deviceObj.floor)].setStartSite(Map_QM.util.deviceObj.xaxis,Map_QM.util.deviceObj.yaxis, parseInt(Map_QM.util.shopHeight) + 20);
- } else {
- if (parseInt(Map_QM.util.deviceObj.node) != -1) {
- pathData && pathData.nodes.sort(Map_QM.util.sortNode);
- if (pathData &&!Map_QM.util.deviceObj.xaxis && pathData.nodes.length > parseInt(Map_QM.util.deviceObj.node) && parseInt(Map_QM.util.deviceObj.node) >= 0) {
- Map_QM.util.deviceObj.xaxis = pathData.nodes[parseInt(Map_QM.util.deviceObj.node)].x;
- Map_QM.util.deviceObj.yaxis = pathData.nodes[parseInt(Map_QM.util.deviceObj.node)].y;
- } else {
- console.warn("初始化点位失败");
- }
- Map_QM.mapArr[parseInt(Map_QM.util.deviceObj.build)][parseInt(Map_QM.util.deviceObj.floor)].setStartSite(Map_QM.util.deviceObj.xaxis,Map_QM.util.deviceObj.yaxis,parseInt(Map_QM.util.shopHeight) + 20);
- }
- }
- this.initFloor();
- } else {
- bIndex++;
- fIndex = 0;
- this.mapArr[bIndex] = [];
- }
- }
- }, 0);
- },
- beforeDestroy: function () {
- if (this.scene) {
- this.controls && this.controls.dispose();
- this.renderer.renderLists && this.renderer.renderLists.dispose();
- this.renderer.dispose && this.renderer.dispose();
- this.renderer.forceContextLoss();
- let gl = this.renderer.domElement.getContext('webgl');
- gl && gl.getExtension('WEBGL_lose_context').loseContext();
- this.util.pathStateObj.basePath = null;
- this.ele.removeEventListener("touchmove", this.mouseMove);
- this.ele.removeEventListener("click", this.onMouseClickBox); //地图点击
- this.ele.removeEventListener("touchend", this.mouseUp);
- this.controls.removeEventListener("change", this.controlsChock);
- document.removeEventListener("resize", this.changeDocmentResize); //窗口变化
- this.remove_child(this.sceneGap);
- this.scene.remove(this.sceneGap);
- while (this.ele.firstChild) {
- this.ele.firstChild.remove();
- }
- this.renderer.domElement = null;
- this.renderer.content = null;
- this.renderer = null;
- this.scene.clear();
- this.scene = null;
- this.camera = null;
- this.controls = null;
- this.util.spriteMaterialArr = [];
- this.util.lineBasicMaterialArr = [];
- this.util.meshMaterialArr = [];
- this.util.parkMaterialArr = [];
- this.util.shopData = []; //店铺数据
- this.util.iconUrl = [];
- this.util.allMap = [];
- this.util = null;
- Map_QM = null;
- }
- },
- /**
- * @api {方法} changeLanguage() 切换中英文
- * @apiGroup 地图交互
- * @apiDescription 切换中英文 zh en
- * @apiVersion 1.0.0
- * @apiParam {String} str 显示语言
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {String} 请求示例
- *
- * Map_QM.changeLanguage("en");
- *
- */
- changeLanguage: function (lang = "zh") {
- language = lang;
- for (let t = 0; t < Map_QM.mapArr.length; t++) {
- for (let i = 0; i < Map_QM.mapArr[t].length; i++) {
- Map_QM.mapArr[t][i].showTagObj.traverse((obj) => {
- if (obj.element) {
- obj.element.style.opacity = obj.userData.show != lang ? 0 : 1;
- }
- });
- }
- }
- for (let t = 0; t < Map_QM.mapArr.length; t++) {
- for (let i = 0; i < Map_QM.mapArr[t].length; i++) {
- let childs = Map_QM.spriteList[t][i];
- childs.forEach((item) => {
- item.text = lang == "en" ? (item.userData.nameEn||item.userData.name) : item.userData.name;
- });
- }
- }
- Map_QM.outObject.traverse((obj) => {
- if (obj.element && mapState == "out") {
- obj.element.style.visibility = obj.userData.show == lang ? "visible" : "hidden";
- }
- });
- Map_QM.perObject.traverse((obj) => {
- if (obj.element && mapState == "periphery") {
- obj.element.style.visibility = obj.userData.show == lang ? "visible" : "hidden";
- }
- });
- Map_QM.controlsChock();
- },
- initTreeModel: function () {
- if (this.index < this.util.modelStr.length - 1) {
- if (this.util.modelStr[this.index].load) {
- this.gltfLoad(this.util.beforPath + this.util.modelStr[this.index].url);
- } else {
- this.index++;
- this.initTreeModel();
- }
- } else {
- if (this.util.allMap && this.util.allMap.length > 0) {
- this.loaderOver();
- }
- }
- },
- gltfLoad: function (url) {
- let sopce = this;
- new THREE.GLTFLoader().load(url, function (object) {
- //加载路径fbx文件
- object.scene.traverse(function (child) {
- if (child.type === "Mesh") {
- child.castShadow = sopce.util.options.shadow;
- child.receiveShadow = sopce.util.options.shadow;
- if (child.material.map) {
- child.material.map.encoding = THREE.LinearEncoding; //贴图需要转换成 线性编码
- }
- if (sopce.util.modelStr[sopce.index].colorModel === "gama") {
- child.material.color.convertGammaToLinear(0.6);
- }
- }
- });
- object.scene.children[0].scale.set(
- sopce.util.modelStr[sopce.index].size.x,
- sopce.util.modelStr[sopce.index].size.y,
- sopce.util.modelStr[sopce.index].size.z
- );
- sopce.util.fbxModels.push({key: sopce.util.modelStr[sopce.index].key,obj: object, operation: sopce.util.modelStr[sopce.index],});
- if (sopce.index < sopce.util.modelStr.length - 1) {
- sopce.index++;
- sopce.initTreeModel();
- } else {
- if (sopce.util.allMap && sopce.util.allMap.length > 0) {
- sopce.loaderOver();
- }
- }
- });
- },
- initGuide: function () {
- let _this = this;
- new THREE.GLTFLoader().load(
- this.util.beforPath + "static/img/runman.gltf",
- function (obj) {
- obj.scene.scale.x = obj.scene.scale.y =obj.scene.scale.z = _this.util.options.facSize || 20;
- obj.scene.children[0].children[1].children[0].material.color = new THREE.Color(0xfe9219);
- _this.sceneGap.add(obj.scene);
- obj.scene.traverse(function (child) {
- if (child.type === "SkinnedMesh") {
- child.material.map && (child.material.map.encoding = THREE.LinearEncoding); //贴图需要转换成 线性编码
- }
- });
- obj.scene.visible = false;
- obj.scene.children[0].rotation.x = Math.PI / 2;
- obj.scene.children[0].rotation.y = Math.PI;
- // obj作为参数创建一个混合器，解析播放obj及其子对象包含的动画数据
- let mixer = new THREE.AnimationMixer(obj.scene);
- let AnimationAction = mixer.clipAction(obj.animations[0]);
- AnimationAction.timeScale = 2;
- AnimationAction.play();
- _this.mixers.push(mixer);
- _this.man_3d = obj.scene;
- _this.guide = _this.man_3d;
- }
- );
-
- new THREE.GLTFLoader().load(
- this.util.beforPath + "static/img/guide.glb",
- function (obj) {
- obj.scene.scale.x =obj.scene.scale.y = obj.scene.scale.z = _this.util.options.facSize * 5 || 100;
- obj.scene.visible = false;
- obj.scene.children[0].rotation.x = Math.PI / 2;
- obj.scene.traverse(function (child) {
- if (child.type === "Mesh") {
- child.castShadow = _this.util.options.shadow;
- child.receiveShadow = _this.util.options.shadow;
- child.userData.opacity = child.material.opacity;
- if (child.material.map) {
- child.material.map.encoding = THREE.LinearEncoding; //贴图需要转换成 线性编码
- }
- }
- });
- for (let k = 0; k < obj.animations.length; k++) {
- let mixer = new THREE.AnimationMixer(obj.scene);
- mixer.clipAction(obj.animations[k]).play();
- _this.mixers.push(mixer);
- }
- _this.man_2d = obj.scene;
- _this.man_2d.renderOrder = 160;
- _this.sceneGap.add(_this.man_2d);
- }
- );
- },
- initFloor: function () {
- this.controls.saveState();
- this.changeBuild(this.util.deviceObj.build, this.util.deviceObj.floor);
- //初始化方向为第一人称方向
- this.util.options.deviceAng && this.rotationAngle(this.util.deviceObj.angle);
- this.startRender();
-
- setTimeout(() => {
- Map_QM.controls.addEventListener("change", Map_QM.controlsChock); //控制器变化
- Map_QM.util.fbxModels = [];
- let boundBox = new THREE.Box3();
- boundBox.setFromObject(Map_QM.sceneGap);
- if (isNaN(boundBox.min.x) || isNaN(boundBox.min.y)) {
- Map_QM.controls.minPan = new THREE.Vector3(Map_QM.w / -8,0,Map_QM.h / -8);
- Map_QM.controls.maxPan = new THREE.Vector3(Map_QM.w / 8, 0,Map_QM.h / 8);
- } else {
- boundBox.min.x < -400 && (boundBox.min.x = boundBox.min.z);
- boundBox.max.x > 400 && (boundBox.max.x = boundBox.max.z);
- boundBox.min.z < -400 && (boundBox.min.z = boundBox.min.x);
- boundBox.max.z > 400 && (boundBox.max.z = boundBox.max.x);
- Map_QM.controls.minPan = boundBox.min;
- Map_QM.controls.maxPan = boundBox.max;
- }
- console.log("Number of Triangles :", Map_QM.renderer.info.render.triangles);
- if (Map_QM.util.initModelArr.length > 0) {
- Map_QM.toOutModel();
- setTimeout(() => {
- Map_QM.toOutModelInner();
- }, 1000);
- }
- }, 200);
- },
- calcFov: function (d, w, r) {
- let f;
- let vertical = w;
- if (r < 1) {
- vertical = vertical / r;
- }
- f = Math.atan(vertical / d / 2) * 2 * (180 / Math.PI);
- return f;
- },
- /**
- * 解析路径
- */
- convertPath: function (buildOrder, floorOrder) {
- let mapDataA = this.util.allMap[buildOrder].buildArr[floorOrder].mapData;
- let pathData = mapDataA.path;
- if (!pathData) {
- return;
- }
- if (pathData.nodes.length > 0) {
- pathData.nodes.sort(this.util.sortNode);
- for (let i = 0; i < pathData.nodes.length; i++) {
- let a = pathData.nodes[i].id;
- this.util.pathStateObj.basePath += '"' + buildOrder + "_" + floorOrder + "_" + a + '":{';
- for (let n = 0; n < pathData.nodes[i]["list"].length; n++) {
- let b;
- if (pathData.nodes[i]["list"][n].id ||pathData.nodes[i]["list"][n].id == "0") {
- b = pathData.nodes[i]["list"][n].id;
- } else {
- b = a == pathData.nodes[i]["list"][n].selfNode.id ? pathData.nodes[i]["list"][n].nextNode.id : pathData.nodes[i]["list"][n].selfNode.id;
- }
- this.util.pathStateObj.basePath +='"'+buildOrder+"_" +floorOrder +"_" +b +'":'+pathData.nodes[i]["list"][n].cost +",";
- }
- if (pathData.nodes[i]["list"].length > 0) {
- this.util.pathStateObj.basePath = this.util.pathStateObj.basePath.substr(0,this.util.pathStateObj.basePath.length - 1);
- }
- this.util.pathStateObj.basePath += "},";
- }
- }
- let mindt = 10000, minupft = -1, mindownft = -1, seldtNo, seldownftNo, selupftNo;
-
- if (buildOrder == this.util.deviceObj.build &&floorOrder == this.util.deviceObj.floor &&parseInt(this.util.deviceObj.node) >= 0) {
- if (pathData &&!this.util.deviceObj.xaxis &&pathData.nodes.length > parseInt(this.util.deviceObj.node) && parseInt(this.util.deviceObj.node) > 0 ) {
- this.util.deviceObj.xaxis = pathData.nodes[parseInt(this.util.deviceObj.node)].x;
- this.util.deviceObj.yaxis = pathData.nodes[parseInt(this.util.deviceObj.node)].y;
- }
- //获取本楼层最近的电梯
- for (let n = 0; n < mapDataA.stairs.length; n++) {
- if ( mapDataA.stairs[n].state && mapDataA.stairs[n].no != "" && parseInt(mapDataA.stairs[n].navCode) > 0 ) {
- let ms = Math.abs( parseInt(mapDataA.stairs[n].x) - parseInt(this.util.deviceObj.xaxis) ) + Math.abs( parseInt(mapDataA.stairs[n].y) - parseInt(this.util.deviceObj.yaxis) );
- if ( mindt > ms && (mapDataA.stairs[n].facCode == "ft" ||
- mapDataA.stairs[n].facCode == "upft" ||
- mapDataA.stairs[n].facCode == "downft" ||
- mapDataA.stairs[n].facCode == "dt")
- ) {
- mindt = ms;
- let fac = mapDataA.stairs[n].facCode == "dt" ? "dt" : "ft";
- this.util.pathStateObj.seldtFacNo.type = fac;
- if (mapDataA.stairs[n].facCode == "dt") {
- seldtNo = mapDataA.stairs[n].no;
- }
- }
- }
- }
- if (this.util.pathStateObj.seldtFacNo.type == "dt") {
- this.util.pathStateObj.seldtFacNo.no = seldtNo;
- } else {
- for (let t = 0; t < this.util.allMap[buildOrder].buildArr.length; t++) {
- let mapData = this.util.allMap[buildOrder].buildArr[t].mapData;
- minupft = 100000;
- mindownft = 100000;
- selupftNo = "";
- seldownftNo = "";
- for (let h = 0; h < mapData.stairs.length; h++) {
- if (mapData.stairs[h].state && mapData.stairs[h].no != "" && parseInt(mapData.stairs[h].navCode) > 0) {
- let ms = Math.abs(parseInt(mapData.stairs[h].x) - parseInt(this.util.deviceObj.xaxis)) +
- Math.abs(parseInt(mapData.stairs[h].y) - parseInt(this.util.deviceObj.yaxis));
- if (mapData.stairs[h].facCode == "upft" || mapData.stairs[h].downState) {
- //上扶
- if (minupft > ms) {
- minupft = ms;
- selupftNo = mapData.stairs[h].no;
- }
- } else if (mapData.stairs[h].facCode == "downft" || mapData.stairs[h].upState) {
- if (mindownft > ms) {
- mindownft = ms;
- seldownftNo = mapData.stairs[h].no;
- }
- }
- }
- }
- //扶梯距离最小
- selupftNo != "" && (this.util.pathStateObj.seldtFacNo.no += selupftNo + ",");
- seldownftNo != "" && (this.util.pathStateObj.seldtFacNo.no += seldownftNo + ",");
- }
- }
- //console.log(this.util.pathStateObj.seldtFacNo);
- }
-
- let noHas;
- for (let j = 0; j < mapDataA.stairs.length; j++) {
- if ( parseInt(mapDataA.stairs[j].navCode) > 0 && mapDataA.stairs[j].state) {
- //排除禁用的设施
- noHas = true;
- for (let k = 0; k < this.util.pathStateObj.facAllArr.length; k++) {
- //Map_QM.util.pathStateObj.facAllArr 记录遍历结果
- if (this.util.pathStateObj.facAllArr[k][0].no != "" &&
- this.util.pathStateObj.facAllArr[k][0].navCode != "" &&
- parseInt(this.util.pathStateObj.facAllArr[k][0].navCode) > 0 &&
- this.util.pathStateObj.facAllArr[k][0].no == mapDataA.stairs[j].no
- ) {
- if (this.util.pathStateObj.facAllArr[k][0].facCode == mapDataA.stairs[j].facCode ||
- (this.util.pathStateObj.facAllArr[k][0].facCode.search("ft") != -1 && mapDataA.stairs[j].facCode.search("ft") != -1)
- ) {
- noHas = false;
- mapDataA.stairs[j].floorOrder = floorOrder;
- mapDataA.stairs[j].buildOrder = buildOrder;
- this.util.pathStateObj.facAllArr[k].push(mapDataA.stairs[j]);
- }
- }
- }
- if (noHas) {
- mapDataA.stairs[j].buildOrder = buildOrder;
- mapDataA.stairs[j].floorOrder = floorOrder;
- let array = [mapDataA.stairs[j]];
- this.util.pathStateObj.facAllArr.push(array);
- }
- }
- }
- },
- /**
- * @api {方法} changeMapState("3d") 地图状态切换
- * @apiGroup 地图显示
- * @apiDescription 地图展示状态切换
- * @apiVersion 4.0.0
- * @apiParam {string} state 地图状态
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {String} 请求示例
- *
- * Map_QM.changeMapState("2d");
- *
- */
- changeMapState: function (state) {
- if (state === "3d") {
- Map_QM.shawLight.castShadow = Map_QM.util.options.shadow;
- Map_QM.controls.maxPolarAngle = Math.PI / 2 - 0.2;
- Map_QM.changeIconState(state);
- } else {
- Map_QM.shawLight.castShadow = false;
- Map_QM.controls.maxPolarAngle = 0;
- Map_QM.changeIconState(state);
- }
- Map_QM.controls.reset();
- Map_QM.util.options.deviceAng && Map_QM.rotationAngle(Map_QM.util.deviceObj.angle);
- },
-
- changeIconState: function (state, fIndex = -1) {
- iconState = state;
- fIndex = fIndex === -1 ? Map_QM.util.selectFloor : fIndex;
- try{
- for (let i = 0; i < Map_QM.mapArr[Map_QM.util.selectBuild].length; i++) {
- if (i == fIndex && Map_QM.buildObj.visible) {
- Map_QM.mapArr[Map_QM.util.selectBuild][i].serObj.traverse((obj) => {
- if (obj.userData && obj.userData.use) {
- if (obj.userData.use != "all" && obj.userData.use != state) {
- obj.visible = false;
- obj.element && (obj.element.style.display = "none");
- } else {
- obj.visible = true;
- obj.element && (obj.element.style.display = "");
- }
- }
- });
- Map_QM.mapArr[Map_QM.util.selectBuild][i].allObj.traverse((item) => {
- if (item.isMesh && item.userData.type) {
- item.scale.z = iconState == "2d" ? 0.3 : 1;
- }
- });
- }
- }
- }catch(e){
- window.captureException && window.captureException(e);
- console.log(e);
- }
- if (Map_QM.qiModel) {
- Map_QM.qiModel.visible = state == "3d" ? true : false;
- }
- if (Map_QM.devModel) {
- Map_QM.devModel.visible = state == "2d" && !Map_QM.util.pathStateObj.isPathState ? true : false;
- }
- if (Map_QM.qiIcon) {
- Map_QM.qiIcon.visible = state == "2d" && Map_QM.util.pathStateObj.isPathState ? true : false;
- }
- },
-
- /**
- * @api {方法} changeBuild(buildOrder,floorOrder) 楼栋切换
- * @apiGroup 地图交互
- * @apiDescription 楼栋切换 传入楼栋编号,楼层编号
- * @apiVersion 4.0.0
- * @apiParam {int} buildOrder 传入楼栋编号（默认 0）
- * @apiParam {int} floorOrder 传入楼栋编号（默认 0）
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {int, int} 请求示例
- *
- * Map_QM.changeBuild(0, 0);
- *
- */
- changeBuild: function (buildOrder = 0, floorOrder = 0) {
- Map_QM.changeMapModel("3D");
- Map_QM.resetFloorState();
- Map_QM.controls.reset();
- Map_QM.util.options.deviceAng && Map_QM.rotationAngle(Map_QM.util.deviceObj.angle);
- Map_QM.clearFloor(Map_QM.util.selectFloor);
- this.changeBuildInner(buildOrder, floorOrder);
- },
-
- changeBuildInner: function (build = -1, fIndex = -1) {
- fIndex = fIndex == -1 ? parseInt(Map_QM.util.deviceObj.floor) : fIndex;
- build = build == -1 ? parseInt(Map_QM.util.deviceObj.build) : build;
- Map_QM.util.selectBuild = build;
- Map_QM.buildObj.position.x = -1 * build * Map_QM.util.options.bSpace;
- Map_QM.changeFloorInner(build, fIndex); //结束后切换楼层
- renderCount = 0;
- },
-
- resetFloorState: function () {
- TweenMax.killAll(true);
- Map_QM.util.pathStateObj.isPathState = false;
- Map_QM.controls.maxDistance = Map_QM.util.options.maxDis;
- clearTimeout(Map_QM.util.timeObj.collTime);
- Map_QM.controls.enabled = true;
- Map_QM.controls.enableRotate = true;
- Map_QM.controls.minAzimuthAngle = -Infinity;
- Map_QM.controls.maxAzimuthAngle = Infinity;
- Map_QM.util.pathStateObj.forShopArr = { direction: "", wayList: [] };
- if (Map_QM.guide && Map_QM.guide.visible) {
- Map_QM.guide.visible = false;
- }
- if (Map_QM.endModel && Map_QM.endModel.visible) {
- Map_QM.endModel.visible = false;
- }
- },
- /**
- * @api {方法} showFloor(floorOrder) 通过楼层编号切换楼层
- * @apiGroup 地图交互
- * @apiDescription 楼层切换，传入楼层编号，编号从下到上排序，最下面是0
- * @apiVersion 4.0.0
- *
- * @apiParam {int} floorOrder 楼层编号
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {int} 请求示例
- *
- * Map_QM.showFloor(1);
- *
- */
- showFloor: function (fIndex = -1, callBack = undefined) {
- if (!Map_QM.buildObj.visible) {
- return;
- }
- Map_QM.util.isMorePath = false;
- Map_QM.util.pathStateObj.isPathState = false;
- Map_QM.changeStartPoint();
- isShowElement = true;
- allJU = true;
- Map_QM.changeMapModel("3D");
- Map_QM.resetFloorState();
- Map_QM.controls.reset();
- if (Map_QM.util.initModelArr.length > 0) {
- Map_QM.controls.setDistance(Map_QM.util.changeDist.inner - 25);
- Map_QM.controls.update();
- }
- Map_QM.util.options.deviceAng && Map_QM.rotationAngle(Map_QM.util.deviceObj.angle);
- Map_QM.clearFloor(fIndex);
- Map_QM.elementDestroy("all");
- if (fIndex != -1) {
- Map_QM.changeFloorInner(-1, fIndex, callBack);
- }
- },
- /**
- * @api {方法} bindingShop(mesh,shop，isBinding) 绑定或解绑店铺
- * @apiGroup 地图交互
- * @apiDescription 给3D对象绑定数据
- * @apiVersion 4.0.0
- *
- * @apiParam {Object3D} mesh 3D对象
- * @apiParam {Object} shop 要绑定的数据对象（houseNumber是必需属性）。解绑可以不传
- * @apiParam {Boolean} isBinding 默认true。 true是绑定，false是解绑
- *
- * @apiSampleRequest off
- * @apiParamExample 请求示例
- *
- * Map_QM.bindingShop(mesh, {shopName:"shop",houseNumber:"L101",color:"", ...},true);
- */
- bindingShop: function (mesh, shop, isBinding = true) {
- if (!isBinding || (shop && shop.houseNumber)) {
- for (let i = 0; i < Map_QM.util.allMap.length; i) {
- for (let j = 0; j < Map_QM.util.allMap[i].buildArr.length; j++) {
- let shopArea = Map_QM.util.allMap[i].buildArr[j].mapData.shopArea;
- for (let k = 0; k < shopArea.length; k++) {
- if (shopArea[k].id === mesh.userData.id) {
- if (isBinding) {
- shopArea[k].name = shop.houseNumber; //修改地图原始数据的box名称
- mesh.userData.shopData = shop;
- mesh.name = shop.houseNumber;
- if (shop.color) {
- // 替换材质
- mesh.userData.initMaterial = mesh.material;
- let meshMat = new THREE.MeshPhongMaterial({
- color: shop.color,
- transparent: true,
- opacity: mesh.material.opacity,
- side: THREE.DoubleSide,
- depthTest: true,
- });
- Map_QM.util.meshMaterialArr.push(meshMat);
- mesh.material = meshMat;
- }
- //添加名称标签
- let shopSpr = Map_QM.util.getTextMesh(
- shop.shopName,
- new THREE.Vector3(
- mesh.xaxis >> 0,
- (-1 * mesh.yaxis) >> 0,
- mesh.zaxis
- )
- );
- mesh.add(shopSpr);
- Map_QM.spriteList[mesh.userData.build][
- mesh.userData.floor
- ].push(shopSpr);
- shopSpr.name = shop.houseNumber;
- shopSpr.userData.mapShow = false; //是否永久显示
- shopSpr.userData.formatCode = "";
- shopSpr.userData.isShow = true;
- shopSpr.userData.nameEn = shop.shopNameEn || shop.shopName;
- shopSpr.userData.name = shop.shopName;
- Map_QM.updateRender();
- Map_QM.collLabel();
- } else {
- shopArea[k].name = "shop";
- mesh.userData.shopData = {};
- if (mesh.userData.initMaterial) {
- mesh.material = mesh.userData.initMaterial;
- }
- //删除文本标签
- let labObj =
- Map_QM.spriteList[mesh.userData.build][mesh.userData.floor];
- for (let j = 0; j < labObj.length; j++) {
- if (labObj[j].name == mesh.name) {
- labObj[j].removeFromParent();
- break;
- }
- }
- }
- return;
- }
- }
- }
- }
- }
- },
- /**
- * @api {方法} queryAllMapData() 获取地图原始数据
- * @apiGroup 地图数据
- * @apiDescription 获取地图接口数据
- * @apiVersion 4.0.1
- *
- * @apiSampleRequest off
- * @apiParamExample {String} 请求示例
- *
- * Map_QM.queryAllMapData();
- */
- queryAllMapData: function () {
- return JSON.stringify({
- mallCode: Map_QM.util.mallCode,
- MapInfo: Map_QM.util.allMap,
- key: "Aeditor",
- });
- },
- /**
- * @api {方法} changeFloorByName(floorOrder) 通过楼层名称切换楼层
- * @apiGroup 地图交互
- * @apiDescription 楼层切换，传入楼层名称，
- * @apiVersion 4.0.0
- *
- * @apiParam {String} floorName 楼层名称
- *
- * @apiSampleRequest off
- * @apiParamExample {String} 请求示例
- *
- * Map_QM.changeFloorByName("L1");
- */
- changeFloorByName: function (floorName) {
- let floors = Map_QM.mapArr[Map_QM.util.selectBuild];
- for (let i = 0; i < floors.length; i++) {
- if (floors[i].floorName == floorName) {
- Map_QM.showFloor(floors[i].floorOrder);
- return;
- }
- }
- },
- /**
- * @api {方法} changeFloorByCode(floorCode) 通过楼层code切换楼层
- * @apiGroup 地图交互
- * @apiDescription 楼层切换，传入楼层code，
- * @apiVersion 4.0.0
- *
- * @apiParam {String} floorCode 楼层code
- *
- * @apiSampleRequest off
- * @apiParamExample {String} 请求示例
- *
- * Map_QM.changeFloorByCode("Ek_MaiuKLPjakB1uB0uQV");
- */
- changeFloorByCode: function (floorCode) {
- for (let kk = 0; kk < Map_QM.util.allMap.length; kk++) {
- for (var iii = 0; iii < Map_QM.util.allMap[kk].buildArr.length; iii++) {
- if (Map_QM.util.allMap[kk].buildArr[iii].code == floorCode) {
- Map_QM.changeBuild(kk, iii);
- return;
- }
- }
- }
- },
- changeFloorInner: function (build = -1,fIndex = -1,callBack = undefined) {
- fIndex = fIndex != -1 ? fIndex : Map_QM.util.deviceObj.floor;
- build = build != -1 ? build : Map_QM.util.deviceObj.build;
- for (let t = 0; t < Map_QM.mapArr.length; t++) {
- for (let i = 0; i < Map_QM.mapArr[t].length; i++) {
- Map_QM.mapArr[t][i].allObj.visible = t == build ? true : false;
- Map_QM.mapArr[t][i].CSSObj.traverse((obj) => {
- obj.element && (obj.element.style.display = "none");
- });
- }
- }
- if (Map_QM.mapArr[build] && Map_QM.mapArr[build][fIndex]) {
- Map_QM.mapArr[build][fIndex].allObj.visible = true;
- } else {
- return;
- }
- for (let i = 0; i < Map_QM.mapArr[build].length; i++) {
- if (i == fIndex) {
- Map_QM.mapArr[build][i].allObj.visible = true;
- Map_QM.mapArr[build][i].CSSObj.traverse((obj) => {
- obj.element && obj.userData.isShow && obj.userData.type == "icon" && (obj.element.style.display = "");
- });
- Map_QM.changeIconState(iconState, fIndex);
- } else {
- Map_QM.mapArr[build][i].allObj.visible = false;
- }
- if (i == Map_QM.mapArr[build].length - 1) {
- if (build == Map_QM.util.selectBuild && fIndex == Map_QM.util.selectFloor ) {
- if (callBack) callBack();
- Map_QM.timeOutInit();
- } else {
- Map_QM.util.selectBuild = build;
- Map_QM.util.selectFloor = fIndex;
- if (Map_QM.util.options.shadow) {
- TweenMax.fromTo( Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].allObj.position,
- 0.2,
- { z: Map_QM.util.options.fSpace },
- { z: 0, ease: Cubic.easeIn,
- onComplete: function () {
- Map_QM.timeOutInit();
- if (callBack) callBack();
- },
- }
- );
- } else {
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].allObj.position.z = 0;
- Map_QM.timeOutInit();
- if (callBack) callBack();
- }
- }
- }
- }
- },
- /**
- * @api {方法} onShowMeDir() 我的方向
- * @apiGroup 地图显示
- * @apiDescription 我的方向
- * @apiVersion 4.0.0
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.onShowMeDir();
- *
- */
- onShowMeDir: function () {
- if (this.util.selectBuild != this.util.deviceObj.build || this.util.selectFloor != this.util.deviceObj.floor) {
- this.changeFloorInner(this.util.deviceObj.build, this.util.deviceObj.floor);
- }
- this.onInnerMeDir();
- },
- onInnerMeDir: function () {
- TweenMax.killAll(true);
- this.changeMapModel("2D");
- Map_QM.controls.reset();
- clearTimeout(shopTime);
- isJUZ = false;
- Map_QM.controls.minPolarAngle = 0;
- if (Map_QM.util.deviceObj.xaxis || Map_QM.util.deviceObj.yaxis) {
- Map_QM.mapToPoint(Map_QM.util.deviceObj.xaxis, Map_QM.util.deviceObj.yaxis, 0 );
- } else {
- Map_QM.mapToPoint(0, 0, 0);
- }
- Map_QM.rotationAngle(Map_QM.util.deviceObj.angle);
- Map_QM.controls.enableRotate = false;
- Map_QM.controls.setDistance(150); //放大
- Map_QM.updateRender();
- Map_QM.collLabel();
- },
- changeMapModel: function (model) {
- if (model == "2D") {
- Map_QM.changeIconState("2d");
- Map_QM.controls.maxPolarAngle = 0;
- Map_QM.camera.updateProjectionMatrix();
- Map_QM.shawLight.castShadow = false;
- } else {
- Map_QM.changeIconState("3d");
- Map_QM.controls.maxPolarAngle = Math.PI / 2 - 0.02;
- Map_QM.camera.updateProjectionMatrix();
- Map_QM.shawLight.castShadow = Map_QM.util.options.shadow;
- }
- Map_QM.updateRender();
- },
- /**
- * @api {方法} toOutModel() 显示外立面模型
- * @apiGroup 地图显示
- * @apiDescription 显示外立面模型
- * @apiVersion 4.0.0
- *
- * @apiSampleRequest off
- * @apiParamExample {String} 请求示例
- *
- * Map_QM.toOutModel();
- */
- toOutModel: function () {
- TweenMax.killAll(true);
- Map_QM.controls.setDistance(Map_QM.util.changeDist.inner + 25);
- Map_QM.controls.update();
- Map_QM.disPlayEvent();
- renderCount = 0;
- Map_QM.resetModel();
- },
- toOutModelInner: function () {
- TweenMax.killAll(true);
- Map_QM.emitChangeMap("out");
- Map_QM.hideFloor();
- Map_QM.buildObj.visible = false;
- TweenMax.to(Map_QM.peripheryGap.scale, 0.3, {
- y: 0.01,
- ease: Quad.easeIn,
- onComplete: function () {
- Map_QM.hideObjecrGap(Map_QM.peripheryGap, false); //隐藏外立面
- Map_QM.hideObjecrGap(Map_QM.perObject, false);
- },
- });
- if (!Map_QM.outModelGap.visible) {
- Map_QM.hideObjecrGap(Map_QM.outModelGap, true);
- Map_QM.hideObjecrGap(Map_QM.outObject, true);
- TweenMax.to(Map_QM.outModelGap.scale, 0.6, {
- y: 1,
- ease: Quad.easeIn,
- onComplete: function () { },
- });
- } else {
- mapState = "out";
- }
- Map_QM.rotateAngle(70);
- startRotate = true;
- },
- hideFloor: function () {
- Map_QM.changeMapModel("3D");
- Map_QM.resetFloorState();
- Map_QM.clearFloor();
- Map_QM.hideInnerFloorElement();
- },
- /**
- * @api {方法} toPeriphery() 显示周边模型
- * @apiGroup 地图显示
- * @apiDescription 显示周边模型
- * @apiVersion 4.0.0
- *
- * @apiSampleRequest off
- * @apiParamExample {String} 请求示例
- *
- * Map_QM.toPeriphery();
- */
- toPeriphery: function () {
- TweenMax.killAll(true);
- Map_QM.controls.setDistance(Map_QM.util.changeDist.outner + 25);
- Map_QM.controls.update();
- Map_QM.disPlayEvent();
- renderCount = 0;
- },
-
- toPeripheryInner: function () {
- TweenMax.killAll(true);
- Map_QM.emitChangeMap("periphery");
- startRotate = false;
- Map_QM.outModelGap.rotateY(-1 * Map_QM.outModelGap.rotation.y);
- Map_QM.hideFloor();
- TweenMax.to(Map_QM.outModelGap.scale, 0.3, {
- y: 0.01,
- ease: Quad.easeIn,
- onComplete: function () {
- Map_QM.buildObj.visible = false;
- Map_QM.hideObjecrGap(Map_QM.outModelGap, false); //隐藏外立面
- Map_QM.hideObjecrGap(Map_QM.outObject, false);
- },
- });
- if (!Map_QM.peripheryGap.visible) {
- Map_QM.hideObjecrGap(Map_QM.peripheryGap, true);
- TweenMax.to(Map_QM.peripheryGap.scale, 0.6, {
- y: 1,
- ease: Quad.easeIn,
- onComplete: function () {
- Map_QM.changePerTag("mark");
- },
- });
- } else {
- mapState = "periphery";
- }
- Map_QM.rotateAngle(45);
- },
- /**
- * @api {方法} hideInnerFloorElement() 隐藏室内楼层元素
- * @apiGroup 地图显示
- * @apiDescription 隐藏室内楼层元素
- * @apiVersion 4.0.0
- *
- * @apiSampleRequest off
- * @apiParamExample 请求示例
- *
- * Map_QM.hideInnerFloorElement();
- */
- hideInnerFloorElement: function () {
- isShowElement = false;
- for (let t = 0; t < Map_QM.mapArr.length; t++) {
- for (let i = 0; i < Map_QM.mapArr[t].length; i++) {
- Map_QM.mapArr[t][i].CSSObj.traverse((obj) => {
- obj.element && (obj.element.style.display = "none");
- if (obj.children && obj.children.length > 0) {
- obj.traverse((item) => {
- item.element && (item.element.style.display = "none");
- });
- }
- });
- }
- }
- },
-
- /**
- * @api {方法} toMall() 显示室内模型
- * @apiGroup 地图显示
- * @apiDescription 显示室内模型
- * @apiVersion 4.0.0
- *
- * @apiSampleRequest off
- * @apiParamExample {String} 请求示例
- *
- * Map_QM.toMall();
- */
- toMall: function () {
- Map_QM.controls.setDistance(Map_QM.util.changeDist.inner - 25);
- Map_QM.controls.update();
- Map_QM.disPlayEvent();
- renderCount = 0;
- },
- toMallInner: function () {
- isShowElement = true;
- TweenMax.killAll(true);
- Map_QM.emitChangeMap("mall");
- startRotate = false;
- Map_QM.outModelGap.rotateY(-1 * Map_QM.outModelGap.rotation.y);
- if (Map_QM.outModelGap.visible) {
- TweenMax.to(Map_QM.outModelGap.scale, 0.5, {
- y: 0.01,
- ease: Quad.easeIn,
- onComplete: function () {
- Map_QM.buildObj.visible = true;
- Map_QM.hideObjecrGap(Map_QM.outModelGap, false); //隐藏外立面
- Map_QM.hideObjecrGap(Map_QM.outObject, false);
- Map_QM.onShowDeviceSite();
- },
- });
- } else {
- if (Map_QM.peripheryGap.visible) {
- TweenMax.to(Map_QM.peripheryGap.scale, 0.5, {
- y: 0.01,
- ease: Quad.easeIn,
- onComplete: function () {
- Map_QM.hideObjecrGap(Map_QM.peripheryGap, false); //隐藏外立面
- Map_QM.hideObjecrGap(Map_QM.perObject, false);
- Map_QM.buildObj.visible = true;
- Map_QM.onShowDeviceSite();
- },
- });
- } else {
- Map_QM.buildObj.visible = true;
- Map_QM.onShowDeviceSite();
- }
- }
- },
- //设置地图状态为室内状态
- setMall: function () {
- isShowElement = true;
- TweenMax.killAll(true);
- Map_QM.emitChangeMap("mall");
- startRotate = false;
- Map_QM.outModelGap.rotateY(-1 * Map_QM.outModelGap.rotation.y);
- Map_QM.hideObjecrGap(Map_QM.outModelGap, false); //隐藏外立面
- Map_QM.hideObjecrGap(Map_QM.outObject, false);
- Map_QM.hideObjecrGap(Map_QM.peripheryGap, false); //隐藏外立面
- Map_QM.hideObjecrGap(Map_QM.perObject, false);
- Map_QM.buildObj.visible = true;
- Map_QM.onShowDeviceSite();
- renderCount = 0;
- },
-
- emitChangeMap: function (state) {
- if (mapState != state) {
- mapState = state;
- Map_QM.dispatchEvent({
- type: "mapShowChange",
- data: mapState,
- });
- }
- },
- hideObjecrGap: function (gap, isShow) {
- gap.visible = isShow;
- gap.traverse((obj) => {
- if (obj.userData && obj.userData.type == "2d_IP") {
- if (obj.element) {
- if (isShow) {
- obj.element.style.visibility =
- obj.userData.show == language ? "visible" : "hidden";
- } else {
- obj.element.style.visibility = "hidden";
- }
- }
- }
- });
- },
- /**
- * @api {方法} onShowLocalSite(0) 局部显示放大
- * @apiGroup 地图显示
- * @apiDescription 局部显示放大 point 传入放大目标点，zoom放大级别 1-5
- * @apiVersion 4.0.0
- * @apiParam {Object} point 放大的地图位置
- * @apiParam {int} zoom 放大倍数(默认 1)
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {Object} 请求示例
- *
- * Map_QM.onShowLocalSite({x:0,y:0},1);
- *
- */
- onShowLocalSite: function (centerPoint, juZ = true) {
- Map_QM.controls.reset();
- if (Map_QM.util.initModelArr.length > 0 && Map_QM.util.changeDist.inner > Map_QM.util.options.minDis) {
- Map_QM.controls.maxDistance = Map_QM.util.changeDist.inner;
- }
- Map_QM.mapToPoint(centerPoint.x, centerPoint.y, 0);
- if (!juZ) {
- allJU = false;
- }
- isJUZ = juZ;
- Map_QM.updateRender();
- Map_QM.collLabel();
- },
- /**
- * @api {方法} mapToPoint() 镜头聚焦特定点
- * @apiGroup 地图显示
- * @apiDescription 镜头聚焦特定点
- * @apiVersion 4.0.0
- * @apiParam {int} x x坐标
- * @apiParam {int} y y坐标
- * @apiParam {int} z z坐标
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {Object} 请求示例
- *
- * Map_QM.mapToPoint(0,0,1);
- *
- */
- mapToPoint: function (mapX, mapY, mapZ) {
- let tag0 = Map_QM.controls.target;
- let pos0 = Map_QM.controls.object.position;
- let vct = new THREE.Vector3(mapX, -1 * mapY, mapZ);
- vct.applyMatrix4(Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].allObj.matrix);
- vct.applyMatrix4(Map_QM.sceneGap.matrix);
- Map_QM.controls.target = new THREE.Vector3(vct.x, vct.y, vct.z);
- Map_QM.controls.object.position.set(pos0.x + (vct.x - tag0.x), pos0.y + (vct.y - tag0.y), pos0.z + (vct.z - tag0.z));
- return vct;
- },
- /**
- * @api {方法} onShowDeviceSite() 地图方向复位
- * @apiGroup 地图显示
- * @apiDescription 地图方向复位
- * @apiVersion 4.0.0
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.onShowDeviceSite();
- *
- */
- onShowDeviceSite: function () {
- this.showFloor(this.util.deviceObj.floor);
- },
- /**
- * 在2D 状态下平移镜头
- */
- moveCameraBy2D: function (obj) {
- if (pathCameraState == "2D") {
- Map_QM.controls.minAzimuthAngle = (Map_QM.util.deviceObj.angle * Math.PI) / -180;
- Map_QM.controls.maxAzimuthAngle = (Map_QM.util.deviceObj.angle * Math.PI) / -180;
- Map_QM.mapToPoint(obj.x, obj.y, 0);
- Map_QM.controls.update();
- }
- },
- /**
- * 方向复位
- */
- resetMeDir: function () {
- this.changeMapState("3d");
- this.controls.minAzimuthAngle = -Infinity;
- this.controls.maxAzimuthAngle = Infinity;
- this.shawLight.castShadow = this.util.options.shadow;
- this.controls.reset();
- this.util.options.deviceAng &&
- this.rotationAngle(this.util.deviceObj.angle);
- },
- /**
- * @api {方法} changePathDir(pathState) 切换导航方向
- * @apiGroup 地图交互
- * @apiDescription 切换导航方向
- * @apiVersion 4.0.0
- *
- * @apiParam {String} pathState 地图导航方向（默认 3D）
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.changePathDir("2D");
- *
- */
- changePathDir: function (pathState = "3D") {
- if (Map_QM.util.pathStateObj.isPathState) {
- //导航状态
- let initVis = false;
- if (Map_QM.endModel && Map_QM.endIcon) {
- initVis = pathCameraState == "2D" ? Map_QM.endIcon.visible : Map_QM.endModel.visible;
- }
- pathCameraState = pathState;
- if (Map_QM.endModel && Map_QM.endIcon) {
- Map_QM.endModel.visible = pathCameraState == "2D" ? false : initVis;
- Map_QM.endIcon.visible = pathCameraState == "2D" ? initVis : false;
- }
- Map_QM.reSetGuide();
- Map_QM.pathRePlay();
- }
- },
- reSetGuide: function () {
- if (pathCameraState == "2D") {
- //2D导航
- Map_QM.onShowMeDir();
- Map_QM.guide.visible = false;
- let pos = Map_QM.guide.position;
- Map_QM.guide = Map_QM.man_2d;
- Map_QM.guide.position.x = pos.x;
- Map_QM.guide.position.y = pos.y;
- Map_QM.guide.visible = true;
- Map_QM.controls.enabled = false;
- } else {
- Map_QM.resetMeDir();
- Map_QM.controls.enabled = true;
- Map_QM.controls.enableRotate = true;
- Map_QM.guide.visible = false;
- let pos = Map_QM.guide.position;
- Map_QM.guide = Map_QM.man_3d;
- Map_QM.guide.position.x = pos.x;
- Map_QM.guide.position.y = pos.y;
- Map_QM.guide.visible = true;
- }
- },
- /**
- * @api {方法} queryObject3DByShopNum(ipName) 获取3D对象
- * @apiGroup 地图交互
- * @apiDescription 获取3D对象
- * @apiVersion 4.0.0
- * @apiParam {string} ipName POI名称
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.queryObject3DByShopNum("L1001");
- *
- */
- queryObject3DByShopNum: function (ipName) {
- for (let b = 0; b < Map_QM.mapArr.length; b++) {
- for (let i = 0; i < Map_QM.mapArr[b].length; i++) {
- let shopArr = Map_QM.mapArr[b][i].shopObj.children;
- for (let k = 0; k < shopArr.length; k++) {
- if (shopArr[k].name == ipName) {
- return shopArr[k];
- }
- }
- }
- }
- return null;
- },
- /**
- * @api {方法} parseSelectShop() 设置选中店铺弹跳
- * @apiGroup 地图交互
- * @apiDescription 设置选中店铺弹跳
- * @apiVersion 4.0.0
- *
- * @apiParam {object3D} selObject 传入3D对象
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.parseSelectShop(object);
- *
- */
- parseSelectShop: function (selObject) {
- if (selObject) {
- Map_QM.selectShop = selObject;
- TweenMax.to(Map_QM.selectShop.scale, 0.5, {
- z: 3, repeat: 4, yoyo: true, ease: Cubic.easeIn,
- onComplete: function () {
- if (Map_QM.selectShop) {
- TweenMax.to(Map_QM.selectShop.scale, 0.5, { z: 1 });
- }
- },
- });
- if (Map_QM.util.options.inArea && iconState == "3d") {
- Map_QM.onShowLocalSite(new Map_QM.util.Point(Map_QM.selectShop.xaxis, Map_QM.selectShop.yaxis));
- }
- }
- },
- /**
- * @api {方法} cancelSelectShop() 取消店铺弹跳
- * @apiGroup 地图交互
- * @apiDescription 取消店铺弹跳效果
- * @apiVersion 4.0.0
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.cancelSelectShop();
- *
- */
- cancelSelectShop: function () {
- TweenMax.killAll(true);
- if (Map_QM.selectShop) {
- Map_QM.selectShop.scale.z = 1;
- }
- },
- /**
- * @api {方法} changeStateShopPro(isShow) 店铺促销标签
- * @apiGroup 地图交互
- * @apiDescription 店铺促销标签展示/隐藏
- * @apiVersion 4.0.0
- *
- * @apiParam {boolean} isShow 店铺促销标签是否显示（默认 false）
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {boolean} 请求示例
- *
- * Map_QM.changeStateShopPro(true);
- *
- */
- changeStateShopPro: function (isShow = false) {
- if (Map_QM.mapArr[Map_QM.util.selectBuild]) {
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].tagObj.traverse((obj) => {
- obj.element && (obj.element.style.display = isShow ? "block" : "none");
- });
- }
- },
- /**
- * @api {方法} changeShowTagObjState(isShow) 自定义标签
- * @apiGroup 地图交互
- * @apiDescription 自定义标签展示/隐藏
- * @apiVersion 4.0.0
- *
- * @apiParam {boolean} isShow 自定义标签是否显示（默认 false）
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {boolean} 请求示例
- *
- * Map_QM.changeShowTagObjState(true);
- *
- */
- changeShowTagObjState: function (isShow = false) {
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].showTagObj.traverse((obj) => {
- obj.visible = isShow;
- });
- },
-
- /**
- * @api {方法} queryShopList() 获取店铺列表信息
- * @apiGroup 地图数据
- * @apiDescription 店铺列表
- * @apiVersion 4.0.0
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.queryShopList()
- *
- */
- queryShopList: function () {
- return JSON.parse(JSON.stringify(Map_QM.util.shopData));
- },
- /**
- * @api {方法} drawCurveLine(startShop,endShop,color) 绘制引导线
- * @apiGroup 地图交互
- * @apiDescription 绘制引导线
- * @apiVersion 4.0.0
- *
- * @apiParam {string/Array} startShop 起始店铺编号或编号数组
- * @apiParam {string/Array} endShop 终点店铺编号或编号数组
- * @apiParam {string} color 绘制颜色 （默认 "#0099ff"）
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- * //绘制一到多
- * Map_QM.drawCurveLine("L125",["L117","L127","L130"],"#2246d8")
- * //绘制多到一
- * Map_QM.drawCurveLine(["L117","L127","L130"],"L125","#66ffff")
- *
- */
- drawCurveLine: function (startShop, endShop, color = "#3969f7") {
- let sp, ep, cp1, cp2;
- hasLine = true;
- if (Array.isArray(startShop) && Array.isArray(endShop)) {
- return { msg: "只能有一个数组" };
- }
- if (Array.isArray(startShop)) {
- //如果是数组
- endShop = Map_QM.shopNumToNavPoint({ houseNumber: endShop }, "shop");
- for (let i = 0; i < startShop.length; i++) {
- startShop[i] = Map_QM.shopNumToNavPoint(
- { houseNumber: startShop[i] },
- "shop"
- );
- sp = new THREE.Vector3(
- startShop[i].xaxis,
- -1 * startShop[i].yaxis,
- Map_QM.util.shopHeight
- );
- ep = new THREE.Vector3(
- endShop.xaxis,
- -1 * endShop.yaxis,
- Map_QM.util.shopHeight
- );
- let s = Math.sqrt(
- (endShop.xaxis - startShop[i].xaxis) *
- (endShop.xaxis - startShop[i].xaxis) +
- (endShop.yaxis - startShop[i].yaxis) *
- (endShop.yaxis - startShop[i].yaxis)
- );
- cp1 = new THREE.Vector3(
- startShop[i].xaxis + (endShop.xaxis - startShop[i].xaxis) / 3,
- -1 * startShop[i].yaxis - (endShop.yaxis - startShop[i].yaxis) / 3,
- Map_QM.util.shopHeight + s / 5
- );
- cp2 = new THREE.Vector3(
- endShop.xaxis,
- -1 * endShop.yaxis,
- Map_QM.util.shopHeight + s / 3
- );
- Map_QM.mapArr[Map_QM.util.selectBuild][
- Map_QM.util.selectFloor
- ].lineObj.add(Map_QM.drawToLine(sp, ep, s / 10, color, cp1, cp2));
- }
- } else {
- startShop = Map_QM.shopNumToNavPoint({ houseNumber: startShop }, "shop");
- if (Array.isArray(endShop)) {
- //如果是数组
- for (let i = 0; i < endShop.length; i++) {
- endShop[i] = Map_QM.shopNumToNavPoint({ houseNumber: endShop[i] }, "shop");
- sp = new THREE.Vector3(startShop.xaxis, -1 * startShop.yaxis, Map_QM.util.shopHeight);
- ep = new THREE.Vector3( endShop[i].xaxis, -1 * endShop[i].yaxis, Map_QM.util.shopHeight);
- let s = Math.sqrt((endShop[i].xaxis - startShop.xaxis) *(endShop[i].xaxis - startShop.xaxis) +(endShop[i].yaxis - startShop.yaxis) *(endShop[i].yaxis - startShop.yaxis));
- cp1 = new THREE.Vector3(startShop.xaxis+(endShop[i].xaxis-startShop.xaxis)/3, -1*startShop.yaxis-(endShop[i].yaxis-startShop.yaxis)/3, Map_QM.util.shopHeight+s/5);
- cp2 = new THREE.Vector3(endShop[i].xaxis, -1*endShop[i].yaxis, Map_QM.util.shopHeight+s/3);
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].lineObj.add(Map_QM.drawToLine(sp, ep, s / 10, color, cp1, cp2));
- }
- } else {
- endShop = Map_QM.shopNumToNavPoint({ houseNumber: endShop }, "shop");
- sp = new THREE.Vector3(startShop.xaxis,-1 * startShop.yaxis, Map_QM.util.shopHeight);
- ep = new THREE.Vector3( endShop.xaxis, -1 * endShop.yaxis, Map_QM.util.shopHeight);
- let s = Math.sqrt((endShop.xaxis - startShop.xaxis) *(endShop.xaxis - startShop.xaxis) +(endShop.yaxis-startShop.yaxis) *(endShop.yaxis - startShop.yaxis));
- cp1 = new THREE.Vector3(startShop.xaxis+(endShop.xaxis - startShop.xaxis)/3, -1*startShop.yaxis-(endShop.yaxis-startShop.yaxis)/3, Map_QM.util.shopHeight+s/5);
- cp2 = new THREE.Vector3(endShop.xaxis, -1*endShop.yaxis, Map_QM.util.shopHeight + s/3 );
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].lineObj.add(Map_QM.drawToLine(sp, ep, s / 10, color, cp1, cp2));
- }
- }
- },
-
- drawToLine: function (startPoint, endPoint, dash = 50, color = 0x2269dd, ctrlPoint1 = null, ctrlPoint2 = null) {
- let curve = new THREE.CubicBezierCurve3(startPoint,ctrlPoint1,ctrlPoint2,endPoint);
- let points = curve.getPoints(dash);
- let colorChange = [];
- for (let i = 1; i < 7; i += 2) {
- colorChange.push(parseInt("0x" + color.slice(i, i + 2)) / 255);
- }
- let flyLine = createFlyCurve(points, new THREE.Vector3(colorChange[0], colorChange[1], colorChange[2]), false);
- flyLine.userData.type = "toLine";
- return flyLine;
- },
- /**
- * @api {方法} drawColumnar(source,property) 绘制柱状图
- * @apiGroup 地图交互
- * @apiDescription 绘制柱状图
- * @apiVersion 4.0.0
- *
- * @apiParam source 起始店铺编号或编号数组
- * @apiParam property 控制参数对象
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- * //绘制多个
- * Map_QM.drawColumnar(["L117","L127","L130"],{"height":200,"width":20,"color":"#2246d8"})
- * //绘制单个
- * Map_QM.drawColumnar("L125",{"height":200,"width":20,"color":"#2246d8"})
- */
- drawColumnar: function (source, property) {
- if (Array.isArray(source)) {
- if (source.length == 0) {
- return { msg: "不能解析空数组" };
- }
- for (let i = 0; i < source.length; i++) {
- Map_QM.drawOnlyColumer(source[i], property);
- }
- } else {
- Map_QM.drawOnlyColumer(source, property);
- }
- },
- drawOnlyColumer: function (houseNumber, property) {
- if (houseNumber.trim() != "" && property) {
- let endShop = Map_QM.shopNumToNavPoint({ houseNumber: houseNumber }, "shop");
- let geometry = new THREE.BoxGeometry(
- property.width * 2,
- property.width * 2,
- property.width * 2
- );
- let c = new THREE.Color(property.color);
- let material;
- let color2 = new THREE.Color(property.color);
- for (let k = 0; k < Map_QM.util.meshMaterialArr.length; k++) {
- if (Map_QM.util.meshMaterialArr[k].color && Map_QM.util.meshMaterialArr[k].color.equals(color2) && Map_QM.util.meshMaterialArr[k].isShaderMaterial) {
- material = Map_QM.util.meshMaterialArr[k];
- }
- }
- if (!material) {
- material = new THREE.ShaderMaterial({
- uniforms: {
- targetColor: { value: new THREE.Vector3(c.r, c.g, c.b) },
- height: { value: property.height / 5 },
- },
- transparent: true,
- //depthTest:false,
- vertexShader: [
- "varying vec3 modelPos;",
- "void main() {",
- " modelPos = position;",
- " gl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );",
- "}",
- ].join("\n"),
- fragmentShader: [
- "uniform vec3 targetColor;",
- "uniform float height;",
- "varying vec3 modelPos;",
- "void main() {",
- " gl_FragColor = vec4(targetColor.xyz,(0.9 - modelPos.y/height)*(0.9 - modelPos.y/height));",
- "}",
- ].join("\n"),
- });
- Map_QM.util.meshMaterialArr.push(material);
- }
-
- let mesh = new THREE.Mesh(geometry, material);
- mesh.position.set(endShop.xaxis, -1 * endShop.yaxis, property.height);
- mesh.rotation.x = Math.PI / -2;
- mesh.scale.setY(property.height / property.width);
- let cubeEdges = new THREE.EdgesGeometry(geometry, 60);
- mesh.add(new THREE.LineSegments(cubeEdges, material));
- mesh.userData.type = "columer";
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].lineObj.add(mesh);
- }
- },
-
- /**
- * @api {方法} removeDrawEle(type) 删除绘制元素
- * @apiGroup 地图交互
- * @apiDescription 删除绘制元素
- * @apiVersion 4.0.0
- *
- * @apiParam type 传入删除的类型(默认 all) toLine--引导线 columer--柱状样式 all---所有
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.removeDrawEle("toLine")
- *
- */
- removeDrawEle: function (type = "all") {
- if (type == "all" || type == "toLine") {
- hasLine = false;
- }
- for (let i = 0; i < Map_QM.mapArr.length; i++) {
- for (let k = 0; k < Map_QM.mapArr[i].length; k++) {
- let lineObj = Map_QM.mapArr[i][k].lineObj;
- for (let j = lineObj.children.length - 1; j >= 0; j--) {
- if (type == "all" || lineObj.children[j].userData.type == type) {
- lineObj.remove(lineObj.children[j]);
- }
- }
- }
- }
- },
-
- setHeatMapData: function () {
- let points = [];
- let max = 0;
- let childRen = Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].shopObj.children;
- for (let i = 0; i < childRen.length; i++) {
- let val = Math.random() * 100;
- max = Math.max(max, val);
- var point = {
- x: parseInt(childRen[i].xaxis),
- y: parseInt(childRen[i].yaxis),
- value: val,
- };
- points.push(point);
- }
- // 准备 heatmap 的数据
- const data = {max: max, data: points,};
- Map_QM.heatMap(data);
- Map_QM.hideInnerFloorElement();
- },
- /**
- * @api {方法} heatMap(data) 热力图
- * @apiGroup 地图交互
- * @apiDescription 绘制热力图
- * @apiVersion 4.0.0
- *
- * @apiParam {object} data 热力图的绘制数据
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.heatMap({max: 100, data: [{x:0,y:0,value:50},...]})
- */
- heatMap: function (data) {
- let heatMap = document.getElementById("heatmap");
- Map_QM.removeHeatMap();
- heatMap.style.pointerEvents = "none";
- let mapW = Map_QM.util.allMap[Map_QM.util.selectBuild].mapW || 5000;
- let mapH = Map_QM.util.allMap[Map_QM.util.selectBuild].mapH || 5000;
- heatMap.style.width = mapW + "px";
- heatMap.style.height = mapH + "px";
-
- if (!heatmapInstance) {
- heatmapInstance = h337.create({
- container: heatMap,
- gradient: {
- 1.0: "#f00",
- 0.9: "#e2fa00",
- 0.6: "#33f900",
- 0.3: "#0349df",
- 0.0: "#0f00ff",
- },
- radius: 120,
- maxOpacity: 1,
- minOpacity: 0,
- });
- }
- if (data.data && data.data.length > 0) {
- data.data.map((item) => {
- item.x += mapW / 2;
- item.y += mapH / 2;
- });
- }
- heatmapInstance.setData(data);
- // 获取 heatmap
- let texture = new THREE.Texture(heatmapInstance._renderer.canvas);
- const material = new THREE.MeshLambertMaterial({
- map: texture,
- transparent: true,
- opacity: 1,
- });
-
- let mesh = new THREE.Mesh(new THREE.PlaneGeometry(mapW, mapH, 10),material);
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].otherObj.add(mesh);
- mesh.renderOrder = 800;
- mesh.position.set(0, 0, 60);
- // 更新图片
- if (texture) {
- texture.needsUpdate = true;
- }
- },
- /**
- * @api {方法} removeHeatMap() 清除外加图层
- * @apiGroup 地图交互
- * @apiDescription 清除外加图层
- * @apiVersion 4.0.0
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.removeHeatMap()
- */
- removeHeatMap: function () {
- for (let i = 0; i < Map_QM.mapArr.length; i++) {
- for (let j = 0; j < Map_QM.mapArr[i].length; j++) {
- Map_QM.remove_child(Map_QM.mapArr[i][j].otherObj);
- }
- }
- },
-
- /**
- * @api {方法} rotationAngle(angle) 改变水平角度
- * @apiGroup 地图显示
- * @apiDescription 改变地图水平角度 angle>-180 && angle<180 逆时针旋转
- * @apiVersion 4.0.0
- *
- * @apiParam {int} angle 旋转角度
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {int} 请求示例
- *
- * Map_QM.rotationAngle(90);
- *
- */
- rotationAngle: function (angle) {
- Map_QM.controls.setRotateHorizontal(Map_QM.controls.getRotateHorizontal());
- Map_QM.controls.setRotateHorizontal((angle / 180) * Math.PI);
- },
- /**
- * @api {方法} rotateAngle(angle) 改变垂直角度
- * @apiGroup 地图显示
- * @apiDescription 改变地图垂直角度 angle>-90 && angle<90
- * @apiVersion 4.0.0
- *
- * @apiParam {int} angle 旋转角度
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {int} 请求示例
- *
- * Map_QM.rotateAngle(-45);
- *
- */
- rotateAngle: function (angle) {
- let r0 = Map_QM.controls.getRotate();
- Map_QM.controls.rotate(r0);
- Map_QM.controls.rotate((angle / -180) * Math.PI);
- },
- /**
- * @api {方法} setCameraDist(cDist) 调整地图大小
- * @apiGroup 地图显示
- * @apiDescription 调整地图大小(值越小地图越大) Map_QM.util.options.minDis ~ Map_QM.util.options.maxDis
- * @apiVersion 4.0.0
- *
- * @apiParam {int} cDist 摄像头距离
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {int} 请求示例
- *
- * Map_QM.setCameraDist(150);
- *
- */
- setCameraDist: function (cDist) {
- if (Map_QM.util.options.minDis < parseInt(cDist) && parseInt(cDist) < Map_QM.util.options.maxDis) {
- let oldObj = { dis: Map_QM.controls.getDistance() };
- TweenMax.killAll(true);
- TweenMax.to(oldObj, 0.5, {
- dis: cDist,
- onUpdate: function () {
- Map_QM.controls.setDistance(oldObj.dis);
- Map_QM.controlsChock();
- },
- });
- }
- },
- /**
- * @api {方法} startRender() 启动地图渲染
- * @apiGroup 地图显示
- * @apiDescription 启动地图渲染 与 cancelRender 配合使用可节约资源
- * @apiVersion 4.0.0
- *
- * @apiSampleRequest off
- * @apiParamExample 请求示例
- *
- * Map_QM.startRender();
- *
- */
- startRender: function () {
- Map_QM.cancelRender();
- let T = Map_QM.util._clock.getDelta();
- Map_QM.controls.update();
- Map_QM.renderer.render(Map_QM.scene, Map_QM.camera);
- Map_QM.labelRenderer.render(Map_QM.scene, Map_QM.camera);
- if (renderCount < 3) {
- if (Map_QM.mapArr[Map_QM.util.selectBuild] && Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor]) {
- Map_QM.labelRenderer.renderObject(Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].CSSObj,Map_QM.camera);
- }
- renderCount++;
- }
- Map_QM.CSSObject && Map_QM.labelRenderer.renderObject(Map_QM.CSSObject, Map_QM.camera);
- for (let item of Map_QM.mixers) {
- item.update(T);
- }
- if (hasLine) {
- const elapsed = Map_QM.util._clock.getElapsedTime();
- uniforms.u_time.value = elapsed;
- }
- if (startRotate) {
- let y0 = Map_QM.outModelGap.rotation.y;
- Map_QM.outModelGap.rotateY(0.002);
- let ay = Map_QM.outModelGap.rotation.y - y0; //>0 +
- let ang = -1 * Map_QM.outModelGap.rotation.y;
- if (ay > 0) {
- if (Map_QM.outModelGap.rotation.y > 0) {
- ang = Map_QM.outModelGap.rotation.y - Math.PI;
- } else {
- ang = Map_QM.outModelGap.rotation.y + Math.PI;
- }
- }
- ang -= Map_QM.controls.getRotateHorizontal() - Math.PI;
- ang = ang > Math.PI ? ang - 2 * Math.PI : ang;
- ang = ang < -1 * Math.PI ? ang + 2 * Math.PI : ang;
- if (Map_QM.util.options.northShow) {
- Map_QM.util.img.style.transform = "rotate(" + ((Math.PI - ang) * 180) / Math.PI + "deg)";
- }
- } else if (Map_QM.util.options.northShow) {
- let a = Map_QM.controls.getRotateHorizontal();
- if (Map_QM.outModelGap.visible) {
- Map_QM.util.img.style.transform = "rotate(" +((Math.PI - (Map_QM.outModelGap.rotation.y - a)) * 180) / Math.PI +"deg)";
- } else {
- Map_QM.util.img.style.transform = "rotate(" + (a * 180) / Math.PI + "deg)";
- }
- }
- renderFrame = requestAnimationFrame(Map_QM.startRender);
- },
- /**
- * @api {方法} cancelRender() 取消地图渲染
- * @apiGroup 地图显示
- * @apiDescription 取消地图渲染 与 startRender 配合使用可节约资源
- * @apiVersion 4.0.0
- *
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- *
- * Map_QM.cancelRender();
- *
- */
- cancelRender: function () {
- window.cancelAnimationFrame(renderFrame);
- renderFrame = -1;
- },
-
- /**
- * @api {方法} addElementLabel() 地图html标签
- * @apiGroup 地图交互
- * @apiDescription 地图显示Html标签，返回3d标签对象
- * @apiVersion 4.0.0
- *
- * @apiParam {Element} divObj div对象
- * @apiParam {int} x 显示X坐标
- * @apiParam {int} y 显示Y坐标
- * @apiParam {int} z 显示高度坐标(默认 50)
- * @apiParam {String} type docment元素自定义标识(默认 "shopInfo")
- * @apiSampleRequest off
- *
- * @apiParamExample {String} 请求示例
- * Map_QM.addElementLabel(divObj,x,y);
- */
- addElementLabel: function (divObj, x, y, z = 50, type = "shopInfo") {
- divObj.style.opacity = 0;
- let shopInfo = new THREE.CSS2DObject(divObj);
- shopInfo.position.set(x, -1 * y, z);
- shopInfo.applyMatrix4(
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].allObj.matrix
- );
- shopInfo.userData.type = type;
- shopInfo.userData.isShow = false;
- shopInfo.userData.floor = parseInt(Map_QM.util.selectFloor);
- Map_QM.CSSObject.add(shopInfo);
- TweenMax.to(divObj.style, 0.2, { opacity: 1, delay: 0.1 });
- return shopInfo;
- },
-
- /**
- * @api {方法} updateElementPosition() 修改标签位置
- * @apiGroup 地图交互
- * @apiDescription 修改标签位置
- * @apiVersion 4.0.0
- * @apiParam {Object} obj 对象
- * @apiParam {int} x 新的X坐标
- * @apiParam {int} y 新的Y坐标
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {Object} 请求示例
- *
- * Map_QM.updateElementPosition(obj,x,y);
- *
- */
- updateElementPosition: function (obj, x, y) {
- if (obj.hasOwnProperty("position")) {
- let h = obj.position.z;
- obj.position.set(x, -1 * y, h);
- obj.applyMatrix4(Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].allObj.matrix);
- }
- },
- /**
- * @api {方法} elementDestroy(type) 销毁地图标签
- * @apiGroup 地图交互
- * @apiDescription 销毁地图上的html标签
- * @apiVersion 4.0.0
- * @apiParam {String} type docment元素自定义标识(默认 "shopInfo")
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {Object} 请求示例
- *
- * Map_QM.elementDestroy();
- *
- */
- elementDestroy: function (type = "shopInfo", isRemove = false) {
- if (!Map_QM.CSSObject) {
- return;
- }
- for (let i = Map_QM.CSSObject.children.length - 1; i >= 0; i--) {
- if (Map_QM.CSSObject.children[i].userData.type != "moveFloor") {
- if (type == "all") {
- Map_QM.CSSObject.children[i].element.style.visibility = "hidden";
- } else {
- if (
- Map_QM.CSSObject.children[i].userData &&
- Map_QM.CSSObject.children[i].userData.type == type
- ) {
- let node = Map_QM.CSSObject.children[i];
- node.element.style.visibility = "hidden";
- if (isRemove && node.element.parentNode) {
- node.element.parentNode.removeChild(node.element);
- }
- Map_QM.CSSObject.remove(node);
- }
- }
- }
- }
- },
- /**
- * @api {方法} addElementByNode() 显示地图活动标签
- * @apiGroup 地图交互
- * @apiDescription 地图显示活动标签，返回3d标签对象
- * @apiVersion 4.0.0
- *
- * @apiParam {Element} divObj div对象
- * @apiParam {int} node 显示导航点位
- * @apiParam {String} type docment元素自定义标识(默认 "tip")
- * @apiSampleRequest off
- *
- * @apiParamExample {String} 请求示例
- * Map_QM.addElementByNode(divObj,node,type);
- */
- addElementByNode: function (divObj, node, type = "tip") {
- let pathData =
- Map_QM.util.allMap[Map_QM.util.selectBuild].buildArr[parseInt(Map_QM.util.selectFloor)].mapData.path;
- if (!pathData || !divObj) {
- return;
- }
- if (pathData.nodes.length > 0) {
- pathData.nodes.sort(Map_QM.util.sortNode);
- } else {
- return;
- }
- divObj.style.visibility = "visible";
- divObj.style.opacity = "0";
- let shopInfo = new THREE.CSS2DObject(divObj);
- shopInfo.position.set(
- pathData.nodes[parseInt(node)].x,
- -1 * pathData.nodes[parseInt(node)].y,
- 60
- );
- shopInfo.applyMatrix4(
- Map_QM.mapArr[Map_QM.util.selectBuild][parseInt(Map_QM.util.selectFloor)]
- .allObj.matrix
- );
- shopInfo.userData.type = type;
- shopInfo.userData.isShow = false;
- shopInfo.userData.floor = parseInt(Map_QM.util.selectFloor);
- Map_QM.CSSObject.add(shopInfo);
- TweenMax.to(divObj.style, 0.2, { opacity: 1, delay: 0.2 });
- return shopInfo;
- },
-
- /**
- * @api {方法} changeShowShopName() 修改店铺显示名称
- * @apiGroup 地图显示
- * @apiDescription 通过店铺编号修改店铺显示名称
- * @apiVersion 4.0.0
- * @apiParam {Array} houseNumber 店铺编号
- * @apiParam {Array} nameStr 字符串
- * @apiSampleRequest off
- *
- * @apiParamExample {String} 请求示例
- * Map_QM.changeShowShopName(["L104"],['肯德基'])
- */
- changeShowShopName: function (shopNums, elements) {
- if (shopNums.length === elements.length) {
- let labObj =
- Map_QM.spriteList[Map_QM.util.selectBuild][Map_QM.util.selectFloor];
- for (let i = 0; i < shopNums.length; i++) {
- for (let j = 0; j < labObj.length; j++) {
- if (labObj[j].name == shopNums[i]) {
- labObj[j].text = elements[i];
- break;
- }
- }
- }
- }
- },
-
- /**
- * @api {方法} showAreaAnimate() 区域定位
- * @apiGroup 地图显示
- * @apiDescription 通过区域名称凸显区域
- * @apiVersion 4.0.0
- * @apiParam {String} aName 区域名称，不传则复位
- * @apiSampleRequest off
- *
- * @apiParamExample {String} 请求示例
- * Map_QM.showAreaAnimate("A");
- */
- showAreaAnimate: function (aName = "") {
- //在我的方向状态，恢复
- Map_QM.changeMapModel("3D");
- Map_QM.resetFloorState();
- Map_QM.controls.reset();
- Map_QM.util.options.deviceAng && Map_QM.rotationAngle(Map_QM.util.deviceObj.angle);
- TweenMax.killAll(true);
- if (!aName) {
- isJUZ = false;
- allJU = true;
- return;
- }
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].allObj.traverse((obj) => {
- if (obj.userData && obj.userData.type == "build") {
- if (obj.name == aName) {
- Map_QM.onShowLocalSite({ x: obj.userData.xaxis, y: obj.userData.yaxis }, false);
- }
- }
- });
- },
-
- /**
- * @api {方法} unionShop() 店铺合并
- * @apiGroup 地图显示
- * @apiDescription 通过店铺编号合并店铺 合铺
- * @apiVersion 4.0.0
- * @apiParam {Array} shops 店铺编号数组
- * @apiParam {Object} data 新的店铺数据(默认 空数据)
- * @apiSampleRequest off
- *
- * @apiParamExample {String} 请求示例
- * Map_QM.unionShop(["L105","L106","L107","L108"],{name:"新店",houseNumber:"L104-L108",color:"#F4A460"})
- */
- unionShop: function (
- shops,
- data = { name: "", houseNumber: "shop", color: "#F4A460" }
- ) {
- let shopObj = [],
- xAll = 0,
- yAll = 0;
- if (Array.isArray(shops) && shops.length > 1) {
- //删除店铺box
- let shopArea =
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].shopObj
- .children;
- for (let i = 0; i < shops.length; i++) {
- for (let k = 0; k < shopArea.length; k++) {
- if (shopArea[k].name == shops[i]) {
- xAll += shopArea[k].xaxis;
- yAll += shopArea[k].yaxis;
- shopObj.push(shopArea[k]);
- Map_QM.mapArr[Map_QM.util.selectBuild][
- Map_QM.util.selectFloor
- ].shopObj.remove(shopArea[k]);
- break;
- }
- }
- }
- //删除文本标签
- let labObj =
- Map_QM.spriteList[Map_QM.util.selectBuild][Map_QM.util.selectFloor];
- for (let i = 0; i < shops.length; i++) {
- for (let j = 0; j < labObj.length; j++) {
- if (labObj[j].name == shops[i]) {
- Map_QM.spriteList[Map_QM.util.selectBuild][
- Map_QM.util.selectFloor
- ].splice(j, 1);
- break;
- }
- }
- }
- let point = {
- x: xAll / shopObj.length,
- y: yAll / shopObj.length,
- };
- let baseShop;
- for (let l = 0; l < shopObj.length; l++) {
- if (l == 0) {
- baseShop = new ThreeBSP(shopObj[0]);
- } else {
- baseShop = baseShop.union(new ThreeBSP(shopObj[l]));
- }
- }
- //ThreeBSP对象转化为网格模型对象
- let mesh = baseShop.toMesh();
- mesh.userData = data;
- mesh.userData.shopData = { formatColor: data.color };
- mesh.userData.xaxis = point.x >> 0;
- mesh.userData.yaxis = point.y >> 0;
- mesh.userData.houseNumber = data.houseNumber;
- mesh.userData.entColor = data.color;
- mesh.userData.type = "shop";
- if (data.name) {
- mesh.name = data.name;
- let shopSpr = Map_QM.util.getTextMesh(
- data.name,
- new THREE.Vector3(point.x >> 0, (-1 * point.y) >> 0, 30)
- );
- mesh.add(shopSpr);
- Map_QM.spriteList[Map_QM.util.selectBuild][
- Map_QM.util.selectFloor
- ].push(shopSpr);
- shopSpr.name = data.houseNumber || "";
- shopSpr.userData.mapShow = false; //是否永久显示
- shopSpr.userData.formatCode = "";
- shopSpr.userData.isShow = true;
- shopSpr.userData.nameEn = data.nameEn || data.name;
- shopSpr.userData.name = data.name;
- }
- mesh.material = new THREE.MeshPhongMaterial({
- color: data.color || 0xf4a460,
- transparent: true,
- opacity: 0.9,
- side: THREE.DoubleSide,
- depthTest: true,
- });
- Map_QM.mapArr[Map_QM.util.selectBuild][
- Map_QM.util.selectFloor
- ].allObj.add(mesh);
- }
- renderCount = 0;
- },
-
- ////////////////////////////////////////////////////////////////////////////////
-
- /**
- * @param {Object} e
- * 地图BOX点击
- */
- onMouseClickBox: function (event) {
- startRotate = false;
- let mouse = new THREE.Vector2();
- mouse.x = (event.offsetX / Map_QM.w) * 2 - 1;
- mouse.y = -(event.offsetY / Map_QM.h) * 2 + 1;
- Map_QM.onCallTouchORMouse(mouse);
- },
- onCallTouchORMouse: function (mouse) {
- if ((!Map_QM.mapArr[Map_QM.util.selectBuild] &&!Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor]) || !Map_QM.buildObj.visible || Map_QM.util.pathStateObj.isPathState) {
- return;
- }
- let raycaster = new THREE.Raycaster();
- raycaster.setFromCamera(mouse, Map_QM.camera);
- let intersects = raycaster.intersectObjects(Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].allObj.children, true);
- let clickShop = false,
- clickOnly = false,
- onlyData = null;
- for (let i = 0; i < intersects.length; i++) {
- //店铺BOX点击
- if (intersects[i].object.userData && intersects[i].object.userData.type == "shop") {
- if (intersects[i].object.name != "") {
- if (Map_QM.endModel && Map_QM.endModel.visible) {
- Map_QM.endModel.visible = false;
- }
- clickShop = true;
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].findPath.clearPath();
- Map_QM.setSelectShopMat(intersects[i].object);
- break;
- } else {
- //空店铺有编号
- if (intersects[i].object.userData.houseNumber && intersects[i].object.userData.houseNumber != "shop") {
- clickOnly = true;
- onlyData = intersects[i].object.userData;
- }
- }
- }
- }
-
- /**
- * @api {事件} shop 点击已绑定品牌的店铺
- * @apiGroup 地图事件
- * @apiDescription 用户点击店铺后触发自定义事件
- * @apiVersion 4.0.0
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- * Map_QM.addEventListener("shop",onClickShop,false);
- */
- if (clickShop && Map_QM.selectShop && Map_QM.selectShop.userData) {
- if (Map_QM.selectShop.userData.shopData.hasOwnProperty("houseNumber")) {
- Map_QM.dispatchEvent({
- type: "shop",
- data: Map_QM.selectShop.userData,
- });
- } else {
- /**
- * @api {事件} onlyShop 点击未绑定品牌的店铺
- * @apiGroup 地图事件
- * @apiDescription 用户点击空店铺后触发自定义事件
- * @apiVersion 4.0.0
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- * Map_QM.addEventListener("onlyShop",onClickShop,false);
- */
- Map_QM.dispatchEvent({
- type: "onlyShop",
- data: Map_QM.selectShop.userData,
- });
- }
- } else {
- if (clickOnly) {
- Map_QM.dispatchEvent({
- type: "onlyShop",
- data: onlyData,
- });
- } else {
- Map_QM.dispatchEvent({
- type: "shop",
- data: null,
- });
- }
- }
- },
- /**
- * @api {方法} setSelectShopMatByName(houseNumber) 设置box 选中
- * @apiGroup 地图交互
- * @apiDescription 地图box 选中
- * @apiVersion 4.0.0
- * @apiParam {String} houseNumber POI编号
- *
- * @apiSampleRequest off
- *
- * @apiParamExample {String} 请求示例
- *
- * Map_QM.setSelectShopMatByName("L101");
- *
- */
- setSelectShopMatByName: function (ipName) {
- for (let i = 0; i < Map_QM.mapArr[Map_QM.util.selectBuild].length; i++) {
- let shopArr = Map_QM.mapArr[Map_QM.util.selectBuild][i].shopObj.children;
- for (let k = 0; k < shopArr.length; k++) {
- if (shopArr[k].name == ipName) {
- Map_QM.setSelectShopMat(shopArr[k]);
- break;
- }
- }
- }
- },
- //改变选中店铺box
- setSelectShopMat: function (selObject) {
- TweenMax.killAll(true);
- if (Map_QM.selectShop) {
- Map_QM.selectShop.scale.z = 1;
- }
- Map_QM.parseSelectShop(selObject);
- },
- updateRender: function () {
- Map_QM.controls.update();
- Map_QM.renderer.render(Map_QM.scene, Map_QM.camera);
- Map_QM.labelRenderer.render(Map_QM.scene, Map_QM.camera);
-
- Map_QM.labelRenderer.renderObject(
- Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].CSSObj,
- Map_QM.camera
- );
- },
- /**
- * 初始化后调用
- */
- timeOutInit: function () {
- Map_QM.updateRender();
- Map_QM.collLabel();
- renderCount = 0;
- if (Map_QM.callBackLoadOver) {
- let floorData = [];
- for (let i = 0; i < Map_QM.util.allMap.length; i++) {
- let build = [];
- for (let j = 0; j < Map_QM.util.allMap[i].buildArr.length; j++) {
- if (Map_QM.util.allMap[i].buildArr[j]) {
- build.push({
- order: Map_QM.util.allMap[i].buildArr[j].order,
- name: Map_QM.util.allMap[i].buildArr[j].name,
- });
- }
- }
- floorData.push(build);
- }
- if (Map_QM.backObj) {
- Map_QM.controls.enabled = true;
- Map_QM.backObj.data = floorData;
- }
- Map_QM.callBackLoadOver(Map_QM.backObj); //初始化完成后回调
- Map_QM.callBackLoadOver = null;
- Map_QM.backObj = null;
- }
- Map_QM.dispatchEvent({
- type: "changeFloorOver",
- data: Map_QM.selectFloor,
- });
- },
-
- autoChangeEleAngle: function () {
- if (Map_QM.mapArr[Map_QM.util.selectBuild]) {
- for (let m = 0; m < Map_QM.mapArr[Map_QM.util.selectBuild].length; m++) {
- if (Map_QM.mapArr[Map_QM.util.selectBuild][m].allObj.visible) {
- let svgChilds = Map_QM.mapArr[Map_QM.util.selectBuild][m].svgObj.children;
- let rat = Map_QM.controls.getRotateHorizontal();
- svgChilds.forEach((item) => {
- if (Math.abs(item.rotation.x) < 0.5) {
- if (
- rat - item.userData.rot > 1.7 ||
- rat - item.userData.rot < -1.7
- ) {
- item.rotation.z =
- item.userData.rot < 0
- ? item.userData.rot + 3.1415926
- : item.userData.rot - 3.1415926;
- } else {
- item.rotation.z = item.userData.rot;
- }
- }
- });
- let logoChilds = Map_QM.mapArr[Map_QM.util.selectBuild][m].shopObj.children;
- logoChilds.forEach((item) => {
- if (item.children.length > 0) {
- item.children.forEach((obj) => {
- if (obj.userData.type == "logo") {
- if (
- rat - obj.userData.rot > 1.7 ||
- rat - obj.userData.rot < -1.7
- ) {
- obj.rotation.z =
- obj.userData.rot < 0
- ? obj.userData.rot + 3.1415926
- : obj.userData.rot - 3.1415926;
- } else {
- obj.rotation.z = obj.userData.rot;
- }
- }
- });
- }
- });
- }
- }
- }
- },
- disPlayEvent: function () {
- renderCount = 0;
- let distance = Map_QM.controls.getDistance();
- if (
- distance > Map_QM.util.changeDist.outner + 20 &&
- mapState != "periphery"
- ) {
- Map_QM.toPeripheryInner();
- } else if (
- distance > Map_QM.util.changeDist.inner + 20 &&
- distance < Map_QM.util.changeDist.outner - 20 &&
- mapState != "out"
- ) {
- Map_QM.toOutModelInner();
- } else if (
- distance < Map_QM.util.changeDist.inner - 20 &&
- mapState != "mall"
- ) {
- Map_QM.toMallInner();
- }
- },
- /**
- * 碰撞检测
- * @param {Object} 传入检测楼层下标
- */
- controlsChock: function () {
- Map_QM.autoChangeEleAngle();
- renderCount = 0;
- /**
- * @api {事件} MapAngleChange 地图的方向改变
- * @apiGroup 地图事件
- * @apiDescription 用户操作地图时触发
- * @apiVersion 4.0.0
- * @apiSampleRequest off
- *
- * @apiParamExample 请求示例
- * Map_QM.addEventListener("MapAngleChange",onMapAngleChange,false);
- */
- Map_QM.dispatchEvent({
- type: "MapAngleChange",
- data: {
- hAngle: Map_QM.controls.getRotateHorizontal(),
- vAngle: Map_QM.controls.getRotate(),
- },
- });
-
- if (Map_QM.util.options.inArea && isJUZ && allJU) {
- clearTimeout(shopTime);
- shopTime = setTimeout(() => {
- clearTimeout(shopTime);
- isJUZ = false;
- Map_QM.controls.reset();
- Map_QM.util.options.deviceAng && Map_QM.rotationAngle(Map_QM.util.deviceObj.angle);
- }, 10000);
- }
- },
-
- //内部碰撞检测
- collLabel: function () {
- if (!Map_QM || !isShowElement || !Map_QM.util.options.collision) {
- //sprite 没有碰撞
- return;
- }
- if(window.requestIdleCallback){
- requestIdleCallback(Map_QM.runTaskQueue, { timeout: 300 });
- }else{
- clearTimeout(allTime);
- allTime = setTimeout(() => {
- clearTimeout(allTime);
- Map_QM.runTaskQueue();
- }, 300);
- }
- },
- runTaskQueue: function (){
- if (Map_QM.mapArr[Map_QM.util.selectBuild] && Map_QM.buildObj.visible && Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor]) {
- if (Map_QM.mapArr[Map_QM.util.selectBuild][Map_QM.util.selectFloor].allObj.visible &&
- (!Map_QM.buildObj.userData.hasOwnProperty("visible") || Map_QM.buildObj.userData.visible) ) {
- let childs = Map_QM.spriteList[Map_QM.util.selectBuild][Map_QM.util.selectFloor];
- childs.forEach((item) => {
- let vector = new THREE.Vector3();
- vector.setFromMatrixPosition(item.matrixWorld);
- vector.project(Map_QM.camera);
- vector.x = (vector.x * Map_QM.w)/2 + Map_QM.w / 2;
- vector.y = -((vector.y * Map_QM.h)/2) + Map_QM.h / 2;
- item.userData.x = vector.x;
- item.userData.y = vector.y;
- let target = new THREE.Vector3();
- item.getWorldScale(target);
- item.visible = true;
- });
- let len = childs.length;
- for(let i=0; i