├── .gitattributes ├── .ipynb_checkpoints └── 谣言检测-checkpoint.ipynb ├── LSTM_rumor_model_58.h5 ├── README.md ├── weibo_Vue ├── LICENSE ├── babel.config.js ├── package.json ├── public │ ├── .DS_Store │ ├── background.jpg │ ├── background.png │ ├── css │ │ ├── animate.min.css │ │ ├── icon.css │ │ └── shake.css │ ├── favicon2.ico │ ├── index.html │ ├── js │ │ ├── axios.min.js │ │ ├── bootstrap.bundle.js │ │ ├── bootstrap.bundle.js.map │ │ ├── bootstrap.bundle.min.js │ │ ├── bootstrap.bundle.min.js.map │ │ ├── bootstrap.js │ │ ├── bootstrap.js.map │ │ ├── bootstrap.min.js │ │ ├── bootstrap.min.js.map │ │ ├── echarts.min.js │ │ ├── jquery.min.js │ │ ├── main.js │ │ ├── marked.js │ │ ├── star-rating.js │ │ ├── star-rating.min.js │ │ └── vue.js │ ├── manifest.json │ └── robots.txt ├── src │ ├── App.vue │ ├── Login.vue │ ├── Register.vue │ ├── api │ │ ├── article.js │ │ ├── auth.js │ │ ├── category.js │ │ └── comment.js │ ├── assets │ │ ├── css │ │ │ ├── _variable.scss │ │ │ └── emoji.css │ │ └── img │ │ │ ├── article_item_sprite.png │ │ │ ├── desc.gif │ │ │ ├── emoji_sprite.png │ │ │ ├── exit.png │ │ │ ├── face_logo.png │ │ │ ├── github.png │ │ │ ├── heading.jpg │ │ │ ├── home.png │ │ │ └── sprite.png │ ├── components │ │ ├── commons │ │ │ ├── button │ │ │ │ └── BlogButton.vue │ │ │ ├── checkbox │ │ │ │ ├── Checkbox.vue │ │ │ │ └── CheckboxGroup.vue │ │ │ ├── comment │ │ │ │ ├── Comment.vue │ │ │ │ ├── Emoji.vue │ │ │ │ └── EmojiPanel.vue │ │ │ ├── dialog │ │ │ │ └── BlogDialog.vue │ │ │ ├── divider │ │ │ │ └── Divider.vue │ │ │ ├── formItem │ │ │ │ └── FormItem.vue │ │ │ ├── input │ │ │ │ └── BlogInput.vue │ │ │ ├── message │ │ │ │ ├── Message.vue │ │ │ │ └── index.js │ │ │ ├── pagination │ │ │ │ └── Pagination.vue │ │ │ ├── radio │ │ │ │ ├── Radio.vue │ │ │ │ └── RadioGroup.vue │ │ │ ├── tag │ │ │ │ └── Tag.vue │ │ │ ├── tagInputer │ │ │ │ └── TagInputer.vue │ │ │ └── textUnderline │ │ │ │ └── TextUnderline.vue │ │ ├── header │ │ │ ├── Header.vue │ │ │ └── children │ │ │ │ ├── Login.vue │ │ │ │ └── MenuItem.vue │ │ └── home │ │ │ ├── articleItem │ │ │ ├── ArticleItem.vue │ │ │ └── SmallArticleItem.vue │ │ │ └── indexMenu │ │ │ ├── IndexMenu.vue │ │ │ └── children │ │ │ ├── BloggerInfo.vue │ │ │ ├── MenuItem.vue │ │ │ ├── ProfileHeading.vue │ │ │ └── SearchBar.vue │ ├── directives │ │ └── vueClickOutSize.js │ ├── main.js │ ├── router.js │ ├── utils │ │ ├── bus.js │ │ └── http.js │ └── views │ │ ├── ArticleBrowser.vue │ │ ├── ArticleEdit.vue │ │ ├── NotFound.vue │ │ └── navigation │ │ ├── Layout.vue │ │ ├── about │ │ └── About.vue │ │ ├── comment │ │ └── Comment.vue │ │ └── home │ │ ├── HomeLayout.vue │ │ ├── Life.vue │ │ └── Skill.vue └── vue.config.js ├── weibo_flask ├── .idea │ ├── .gitignore │ ├── inspectionProfiles │ │ ├── Project_Default.xml │ │ └── profiles_settings.xml │ ├── misc.xml │ ├── modules.xml │ └── weibo_flask.iml └── app.py ├── 谣言.sql ├── 谣言检测.ipynb └── 谣言检测.py /.gitattributes: -------------------------------------------------------------------------------- 1 | # Auto detect text files and perform LF normalization 2 | * text=auto 3 | -------------------------------------------------------------------------------- /LSTM_rumor_model_58.h5: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/yonginggg/WeiboRumorClassify_Vue_Flask/81e739c7d679e6c51ac2f78b3d95f73f2860d71f/LSTM_rumor_model_58.h5 -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # WeiboRumorClassify_Vue_Flask 2 | 微博谣言检测, 前端Vue,后端Flask 3 | 4 | 常用停用词来源 https://github.com/goto456/stopwords 5 | 6 | 前端 https://github.com/pppercyWang/twitter-blog-vue 7 | 8 | 谣言数据 https://github.com/thunlp/Chinese_Rumor_Dataset 9 | 10 | 谣言检测 https://github.com/SophiaHanx/RumorDetection 11 | 12 | 词向量 https://github.com/Embedding/Chinese-Word-Vectors -------------------------------------------------------------------------------- /weibo_Vue/LICENSE: -------------------------------------------------------------------------------- 1 | The MIT License (MIT) 2 | 3 | Copyright (c) 2018 TeanBlog. 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. -------------------------------------------------------------------------------- /weibo_Vue/babel.config.js: -------------------------------------------------------------------------------- 1 | module.exports = { 2 | presets: [ 3 | '@vue/app' 4 | ], 5 | "plugins": [ 6 | ["import", { 7 | "libraryName": "vant", 8 | "libraryDirectory": "es", 9 | "style": true 10 | }] 11 | ] 12 | } -------------------------------------------------------------------------------- /weibo_Vue/package.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "twitter-blog-vue", 3 | "version": "0.1.0", 4 | "private": true, 5 | "scripts": { 6 | "serve": "vue-cli-service serve", 7 | "build": "vue-cli-service build", 8 | "lint": "vue-cli-service lint" 9 | }, 10 | "dependencies": { 11 | "axios": "^0.19.2", 12 | "element-ui": "^2.13.2", 13 | "mavon-editor": "^2.7.5", 14 | "vue": "^2.5.17", 15 | "vue-router": "^3.0.7" 16 | }, 17 | "devDependencies": { 18 | "@vue/cli-plugin-babel": "^3.9.2", 19 | "@vue/cli-plugin-pwa": "^3.9.0", 20 | "@vue/cli-service": "^3.9.2", 21 | "babel-plugin-import": "^1.12.0", 22 | "bootstrap": "^4.5.0", 23 | "compression-webpack-plugin": "^3.0.1", 24 | "image-webpack-loader": "^6.0.0", 25 | "jquery": "^3.5.1", 26 | "node-sass": "^4.12.0", 27 | "popper.js": "^1.16.1", 28 | "sass-loader": "^7.1.0", 29 | "uglifyjs-webpack-plugin": "^2.2.0", 30 | "vue-template-compiler": "^2.6.10" 31 | } 32 | } 33 | -------------------------------------------------------------------------------- /weibo_Vue/public/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/yonginggg/WeiboRumorClassify_Vue_Flask/81e739c7d679e6c51ac2f78b3d95f73f2860d71f/weibo_Vue/public/.DS_Store -------------------------------------------------------------------------------- /weibo_Vue/public/background.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/yonginggg/WeiboRumorClassify_Vue_Flask/81e739c7d679e6c51ac2f78b3d95f73f2860d71f/weibo_Vue/public/background.jpg -------------------------------------------------------------------------------- /weibo_Vue/public/background.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/yonginggg/WeiboRumorClassify_Vue_Flask/81e739c7d679e6c51ac2f78b3d95f73f2860d71f/weibo_Vue/public/background.png -------------------------------------------------------------------------------- /weibo_Vue/public/css/icon.css: -------------------------------------------------------------------------------- 1 | @font-face { 2 | font-family: 'iconfont'; /* project id 1330295 */ 3 | src: url('//at.alicdn.com/t/font_1330295_t4p1ey317p.eot'); 4 | src: url('//at.alicdn.com/t/font_1330295_t4p1ey317p.eot?#iefix') format('embedded-opentype'), 5 | url('//at.alicdn.com/t/font_1330295_t4p1ey317p.woff2') format('woff2'), 6 | url('//at.alicdn.com/t/font_1330295_t4p1ey317p.woff') format('woff'), 7 | url('//at.alicdn.com/t/font_1330295_t4p1ey317p.ttf') format('truetype'), 8 | url('//at.alicdn.com/t/font_1330295_t4p1ey317p.svg#iconfont') format('svg'); 9 | } 10 | .iconfont { 11 | font-family: "iconfont" !important; 12 | font-size: 16px; 13 | font-style: normal; 14 | -webkit-font-smoothing: antialiased; 15 | -moz-osx-font-smoothing: grayscale; 16 | } 17 | 18 | .percy-icon-fangdajing:before { 19 | content: "\e63d"; 20 | } 21 | 22 | .percy-icon-guidangxiangmu:before { 23 | content: "\e660"; 24 | } 25 | 26 | .percy-icon-Exit:before { 27 | content: "\e6bd"; 28 | } 29 | 30 | .percy-icon-fanhui:before { 31 | content: "\e641"; 32 | } 33 | 34 | .percy-icon-logout:before { 35 | content: "\e651"; 36 | } 37 | 38 | .percy-icon-Positioning:before { 39 | content: "\e736"; 40 | } 41 | 42 | .percy-icon-cross-fill:before { 43 | content: "\e619"; 44 | } 45 | -------------------------------------------------------------------------------- /weibo_Vue/public/css/shake.css: -------------------------------------------------------------------------------- 1 | @-webkit-keyframes shaky-slow { 2 | 0% { 3 | -webkit-transform: translate(0px, 0px) rotate(0deg); 4 | } 5 | 2% { 6 | -webkit-transform: translate(-1px, 1.5px) rotate(1.5deg); 7 | } 8 | 4% { 9 | -webkit-transform: translate(1.3px, 0px) rotate(-0.5deg); 10 | } 11 | 6% { 12 | -webkit-transform: translate(1.4px, 1.4px) rotate(-2deg); 13 | } 14 | 8% { 15 | -webkit-transform: translate(-1.3px, -1px) rotate(-1.5deg); 16 | } 17 | 10% { 18 | -webkit-transform: translate(1.4px, 0px) rotate(-2deg); 19 | } 20 | 12% { 21 | -webkit-transform: translate(-1.3px, -1px) rotate(-2deg); 22 | } 23 | 14% { 24 | -webkit-transform: translate(1.5px, 1.3px) rotate(1.5deg); 25 | } 26 | 16% { 27 | -webkit-transform: translate(1.5px, -1.5px) rotate(-1.5deg); 28 | } 29 | 18% { 30 | -webkit-transform: translate(1.3px, -1.3px) rotate(-2deg); 31 | } 32 | 20% { 33 | -webkit-transform: translate(1px, 1px) rotate(-0.5deg); 34 | } 35 | 22% { 36 | -webkit-transform: translate(1.3px, 1.5px) rotate(-2deg); 37 | } 38 | 24% { 39 | -webkit-transform: translate(-1.4px, -1px) rotate(2deg); 40 | } 41 | 26% { 42 | -webkit-transform: translate(1.3px, -1.3px) rotate(0.5deg); 43 | } 44 | 28% { 45 | -webkit-transform: translate(1.6px, -1.6px) rotate(-2deg); 46 | } 47 | 30% { 48 | -webkit-transform: translate(-1.3px, -1.3px) rotate(-1.5deg); 49 | } 50 | 32% { 51 | -webkit-transform: translate(-1px, 0px) rotate(2deg); 52 | } 53 | 34% { 54 | -webkit-transform: translate(1.3px, 1.3px) rotate(-0.5deg); 55 | } 56 | 36% { 57 | -webkit-transform: translate(1.3px, 1.6px) rotate(1.5deg); 58 | } 59 | 38% { 60 | -webkit-transform: translate(1.3px, -1.6px) rotate(1.5deg); 61 | } 62 | 40% { 63 | -webkit-transform: translate(-1.4px, -1px) rotate(-0.5deg); 64 | } 65 | 42% { 66 | -webkit-transform: translate(-1.4px, 1.3px) rotate(-0.5deg); 67 | } 68 | 44% { 69 | -webkit-transform: translate(-1.6px, 1.4px) rotate(0.5deg); 70 | } 71 | 46% { 72 | -webkit-transform: translate(-2.1px, -1.3px) rotate(-0.5deg); 73 | } 74 | 48% { 75 | -webkit-transform: translate(1px, 1.6px) rotate(1.5deg); 76 | } 77 | 50% { 78 | -webkit-transform: translate(1.6px, 1.6px) rotate(1.5deg); 79 | } 80 | 52% { 81 | -webkit-transform: translate(-1.4px, 1.6px) rotate(0.5deg); 82 | } 83 | 54% { 84 | -webkit-transform: translate(1.6px, -1px) rotate(-2deg); 85 | } 86 | 56% { 87 | -webkit-transform: translate(1.3px, -1.6px) rotate(-2deg); 88 | } 89 | 58% { 90 | -webkit-transform: translate(-1.3px, -1.6px) rotate(0.5deg); 91 | } 92 | 60% { 93 | -webkit-transform: translate(1.3px, 1.6px) rotate(-0.5deg); 94 | } 95 | 62% { 96 | -webkit-transform: translate(0px, 0px) rotate(-1.5deg); 97 | } 98 | 64% { 99 | -webkit-transform: translate(-1.6px, -1.6px) rotate(-2deg); 100 | } 101 | 66% { 102 | -webkit-transform: translate(1.6px, -1.6px) rotate(0.5deg); 103 | } 104 | 68% { 105 | -webkit-transform: translate(0px, -1.6px) rotate(-2deg); 106 | } 107 | 70% { 108 | -webkit-transform: translate(-1.6px, 1px) rotate(1.5deg); 109 | } 110 | 72% { 111 | -webkit-transform: translate(-1.6px, 1.6px) rotate(2deg); 112 | } 113 | 74% { 114 | -webkit-transform: translate(1.3px, -1.6px) rotate(-0.5deg); 115 | } 116 | 76% { 117 | -webkit-transform: translate(1.4px, 1px) rotate(-0.5deg); 118 | } 119 | 78% { 120 | -webkit-transform: translate(-1px, 1.4px) rotate(2deg); 121 | } 122 | 80% { 123 | -webkit-transform: translate(1.4px, 1.6px) rotate(2deg); 124 | } 125 | 82% { 126 | -webkit-transform: translate(-1.6px, -1.6px) rotate(-0.5deg); 127 | } 128 | 84% { 129 | -webkit-transform: translate(-1.4px, 1.4px) rotate(-2deg); 130 | } 131 | 86% { 132 | -webkit-transform: translate(1px, 1.4px) rotate(-2deg); 133 | } 134 | 88% { 135 | -webkit-transform: translate(-1.4px, 1.4px) rotate(-1.5deg); 136 | } 137 | 90% { 138 | -webkit-transform: translate(-1.6px, -1.6px) rotate(-2deg); 139 | } 140 | 92% { 141 | -webkit-transform: translate(-1.6px, 1.6px) rotate(2deg); 142 | } 143 | 94% { 144 | -webkit-transform: translate(-1.6px, -1.6px) rotate(-2deg); 145 | } 146 | 96% { 147 | -webkit-transform: translate(-1.4px, 1.3px) rotate(-2deg); 148 | } 149 | 98% { 150 | -webkit-transform: translate(1.3px, 1px) rotate(-0.5deg); 151 | } 152 | } 153 | @keyframes shaky-slow { 154 | 0% { 155 | transform: translate(0px, 0px) rotate(0deg); 156 | } 157 | 2% { 158 | transform: translate(-1px, 1.5px) rotate(1.5deg); 159 | } 160 | 4% { 161 | transform: translate(1.3px, 0px) rotate(-0.5deg); 162 | } 163 | 6% { 164 | transform: translate(1.4px, 1.4px) rotate(-2deg); 165 | } 166 | 8% { 167 | transform: translate(-1.3px, -1px) rotate(-1.5deg); 168 | } 169 | 10% { 170 | transform: translate(1.4px, 0px) rotate(-2deg); 171 | } 172 | 12% { 173 | transform: translate(-1.3px, -1px) rotate(-2deg); 174 | } 175 | 14% { 176 | transform: translate(1.5px, 1.3px) rotate(1.5deg); 177 | } 178 | 16% { 179 | transform: translate(1.5px, -1.5px) rotate(-1.5deg); 180 | } 181 | 18% { 182 | transform: translate(1.3px, -1.3px) rotate(-2deg); 183 | } 184 | 20% { 185 | transform: translate(1px, 1px) rotate(-0.5deg); 186 | } 187 | 22% { 188 | transform: translate(1.3px, 1.5px) rotate(-2deg); 189 | } 190 | 24% { 191 | transform: translate(-1.4px, -1px) rotate(2deg); 192 | } 193 | 26% { 194 | transform: translate(1.3px, -1.3px) rotate(0.5deg); 195 | } 196 | 28% { 197 | transform: translate(1.6px, -1.6px) rotate(-1.5deg); 198 | } 199 | 30% { 200 | transform: translate(-1.3px, -1.3px) rotate(-1.5deg); 201 | } 202 | 32% { 203 | transform: translate(-1px, 0px) rotate(2deg); 204 | } 205 | 34% { 206 | transform: translate(1.3px, 1.3px) rotate(-0.5deg); 207 | } 208 | 36% { 209 | transform: translate(1.3px, 1.6px) rotate(1.5deg); 210 | } 211 | 38% { 212 | transform: translate(1.3px, -1.6px) rotate(1.5deg); 213 | } 214 | 40% { 215 | transform: translate(-1.4px, -1px) rotate(-0.5deg); 216 | } 217 | 42% { 218 | transform: translate(-1.4px, 1.3px) rotate(-0.5deg); 219 | } 220 | 44% { 221 | transform: translate(-1.6px, 1.4px) rotate(0.5deg); 222 | } 223 | 46% { 224 | transform: translate(-2.1px, -1.3px) rotate(-0.5deg); 225 | } 226 | 48% { 227 | transform: translate(1px, 1.6px) rotate(1.5deg); 228 | } 229 | 50% { 230 | transform: translate(1.6px, 1.6px) rotate(1.5deg); 231 | } 232 | 52% { 233 | transform: translate(-1.4px, 1.6px) rotate(0.5deg); 234 | } 235 | 54% { 236 | transform: translate(1.6px, -1px) rotate(-2deg); 237 | } 238 | 56% { 239 | transform: translate(1.3px, -1.6px) rotate(-2deg); 240 | } 241 | 58% { 242 | transform: translate(-1.3px, -1.6px) rotate(0.5deg); 243 | } 244 | 60% { 245 | transform: translate(1.3px, 1.6px) rotate(-0.5deg); 246 | } 247 | 62% { 248 | transform: translate(0px, 0px) rotate(-1.5deg); 249 | } 250 | 64% { 251 | transform: translate(-1.6px, -1.6px) rotate(-2deg); 252 | } 253 | 66% { 254 | transform: translate(1.6px, -1.6px) rotate(0.5deg); 255 | } 256 | 68% { 257 | transform: translate(0px, -1.6px) rotate(-2deg); 258 | } 259 | 70% { 260 | transform: translate(-1.6px, 1px) rotate(1.5deg); 261 | } 262 | 72% { 263 | transform: translate(-1.6px, 1.6px) rotate(2deg); 264 | } 265 | 74% { 266 | transform: translate(1.3px, -1.6px) rotate(-0.5deg); 267 | } 268 | 76% { 269 | transform: translate(1.4px, 1px) rotate(-0.5deg); 270 | } 271 | 78% { 272 | transform: translate(-1px, 1.4px) rotate(2deg); 273 | } 274 | 80% { 275 | transform: translate(1.4px, 1.6px) rotate(2deg); 276 | } 277 | 82% { 278 | transform: translate(-1.6px, -1.6px) rotate(-0.5deg); 279 | } 280 | 84% { 281 | transform: translate(-1.4px, 1.4px) rotate(-2deg); 282 | } 283 | 86% { 284 | transform: translate(1px, 1.4px) rotate(-2deg); 285 | } 286 | 88% { 287 | transform: translate(-1.4px, 1.4px) rotate(-1.5deg); 288 | } 289 | 90% { 290 | transform: translate(-1.6px, -1.6px) rotate(-2deg); 291 | } 292 | 92% { 293 | transform: translate(-1.4px, 1.6px) rotate(2deg); 294 | } 295 | 94% { 296 | transform: translate(-1.6px, -1.6px) rotate(-2deg); 297 | } 298 | 96% { 299 | transform: translate(-1.4px, 1.3px) rotate(-2deg); 300 | } 301 | 98% { 302 | transform: translate(1.3px, 1px) rotate(-0.5deg); 303 | } 304 | } -------------------------------------------------------------------------------- /weibo_Vue/public/favicon2.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/yonginggg/WeiboRumorClassify_Vue_Flask/81e739c7d679e6c51ac2f78b3d95f73f2860d71f/weibo_Vue/public/favicon2.ico -------------------------------------------------------------------------------- /weibo_Vue/public/index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | zuCc Space 12 | 13 | 14 | 18 |
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touchstart",e.proxy(s.starClick,a)),t.handler(r,"mousemove",e.proxy(s.starMouseMove,a)),t.handler(r,"mouseleave",e.proxy(s.starMouseLeave,a)),a.showClear&&l.length&&(t.handler(l,"click touchstart",e.proxy(s.clearClick,a)),t.handler(l,"mousemove",e.proxy(s.clearMouseMove,a)),t.handler(l,"mouseleave",e.proxy(s.clearMouseLeave,a))),i.length&&t.handler(i,"reset",e.proxy(s.resetForm,a),!0),n},_getStars:function(e){var t,a=this,n='';for(t=1;t<=a.stars;t++)n+=''+a[e+"Star"]+"";return n+""},_setStars:function(e){var t=this,a=arguments.length?t.calculate(e):t.calculate(),n=t.$element,i=t._parseValue(a.val);return n.val(i),t.$filledStars.css("width",a.width),t._setCaption(a.caption),t.cache=a,n},showStars:function(e){var t=this,a=t._parseValue(e);return t.$element.val(a),t._initCaptionTitle(),t._setStars()},calculate:function(e){var a=this,n=t.isEmpty(a.$element.val())?0:a.$element.val(),i=arguments.length?a.getValueFromPosition(e):n,r=a.fetchCaption(i),l=a.getWidthFromValue(i);return l+="%",{caption:r,width:l,val:i}},getValueFromPosition:function(e){var a,n,i=this,r=t.getDecimalPlaces(i.step),l=i.$rating.width();return n=i.diff*e/(l*i.step),n=i.rtl?Math.floor(n):Math.ceil(n),a=t.applyPrecision(parseFloat(i.min+n*i.step),r),a=Math.max(Math.min(a,i.max),i.min),i.rtl?i.max-a:a},getWidthFromValue:function(e){var t,a,n=this,i=n.min,r=n.max,l=n.$emptyStars;return!e||i>=e||i===r?0:(a=l.outerWidth(),t=a?l.width()/a:1,e>=r?100:(e-i)*t*100/(r-i))},fetchCaption:function(e){var a,n,i,r,l,s=this,o=parseFloat(e)||s.clearValue,c=s.starCaptions,u=s.starCaptionClasses,d=s.getWidthFromValue(o);return o&&o!==s.clearValue&&(o=t.applyPrecision(o,t.getDecimalPlaces(s.step))),r="function"==typeof u?u(o,d):u[o],i="function"==typeof c?c(o,d):c[o],n=t.isEmpty(i)?s.defaultCaption.replace(/\{rating}/g,o):i,a=t.isEmpty(r)?s.clearCaptionClass:r,l=o===s.clearValue?s.clearCaption:n,''+l+""},destroy:function(){var a=this,n=a.$element;return t.isEmpty(a.$container)||a.$container.before(n).remove(),e.removeData(n.get(0)),n.off("rating").removeClass("rating rating-input")},create:function(e){var t=this,a=e||t.options||{};return t.destroy().rating(a)},clear:function(){var e=this,t=''+e.clearCaption+"";return e.inactive||e._setCaption(t),e.showStars(e.clearValue).trigger("change").trigger("rating:clear")},reset:function(){var e=this;return e.showStars(e.initialValue).trigger("rating:reset")},update:function(e){var t=this;return arguments.length?t.showStars(e):t.$element},refresh:function(t){var a=this,n=a.$element;return t?a.destroy().rating(e.extend(!0,a.options,t)).trigger("rating:refresh"):n}},e.fn.rating=function(n){var i=Array.apply(null,arguments),r=[];switch(i.shift(),this.each(function(){var l,s=e(this),o=s.data("rating"),c="object"==typeof n&&n,u=c.theme||s.data("theme"),d=c.language||s.data("language")||"en",p={},h={};o||(u&&(p=e.fn.ratingThemes[u]||{}),"en"===d||t.isEmpty(e.fn.ratingLocales[d])||(h=e.fn.ratingLocales[d]),l=e.extend(!0,{},e.fn.rating.defaults,p,e.fn.ratingLocales.en,h,c,s.data()),o=new a(this,l),s.data("rating",o)),"string"==typeof n&&r.push(o[n].apply(o,i))}),r.length){case 0:return this;case 1:return void 0===r[0]?this:r[0];default:return r}},e.fn.rating.defaults={theme:"",language:"en",stars:5,filledStar:'',emptyStar:'',containerClass:"",size:"md",animate:!0,displayOnly:!1,rtl:!1,showClear:!0,showCaption:!0,starCaptionClasses:{.5:"label label-danger badge-danger",1:"label label-danger badge-danger",1.5:"label label-warning badge-warning",2:"label label-warning badge-warning",2.5:"label label-info badge-info",3:"label label-info badge-info",3.5:"label label-primary badge-primary",4:"label label-primary badge-primary",4.5:"label label-success badge-success",5:"label label-success badge-success"},clearButton:'',clearButtonBaseClass:"clear-rating",clearButtonActiveClass:"clear-rating-active",clearCaptionClass:"label label-default badge-secondary",clearValue:null,captionElement:null,clearElement:null,showCaptionAsTitle:!0,hoverEnabled:!0,hoverChangeCaption:!0,hoverChangeStars:!0,hoverOnClear:!0,zeroAsNull:!0},e.fn.ratingLocales.en={defaultCaption:"{rating} Stars",starCaptions:{.5:"Half Star",1:"One Star",1.5:"One & Half Star",2:"Two Stars",2.5:"Two & Half Stars",3:"Three Stars",3.5:"Three & Half Stars",4:"Four Stars",4.5:"Four & Half Stars",5:"Five Stars"},clearButtonTitle:"Clear",clearCaption:"Not Rated"},e.fn.rating.Constructor=a,e(document).ready(function(){var t=e("input.rating");t.length&&t.removeClass("rating-loading").addClass("rating-loading").rating()})}); -------------------------------------------------------------------------------- /weibo_Vue/public/manifest.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "twitter-blog-vue", 3 | "short_name": "twitter-blog-vue", 4 | "icons": [ 5 | { 6 | "src": "/img/icons/android-chrome-192x192.png", 7 | "sizes": "192x192", 8 | "type": "image/png" 9 | }, 10 | { 11 | "src": "/img/icons/android-chrome-512x512.png", 12 | "sizes": "512x512", 13 | "type": "image/png" 14 | } 15 | ], 16 | "start_url": "/index.html", 17 | "display": "standalone", 18 | "background_color": "#000000", 19 | "theme_color": "#4DBA87" 20 | } 21 | -------------------------------------------------------------------------------- /weibo_Vue/public/robots.txt: -------------------------------------------------------------------------------- 1 | User-agent: * 2 | Disallow: 3 | -------------------------------------------------------------------------------- /weibo_Vue/src/App.vue: -------------------------------------------------------------------------------- 1 | 6 | 22 | 38 | -------------------------------------------------------------------------------- /weibo_Vue/src/Login.vue: -------------------------------------------------------------------------------- 1 | 30 | 31 | 87 | 88 | 116 | -------------------------------------------------------------------------------- /weibo_Vue/src/Register.vue: -------------------------------------------------------------------------------- 1 | 35 | 36 | 91 | 92 | 120 | -------------------------------------------------------------------------------- /weibo_Vue/src/api/article.js: -------------------------------------------------------------------------------- 1 | import http from '@/utils/http'; 2 | 3 | export const apiArticleSave = (data, config) => { 4 | return http.post('article/save', data, config); 5 | }; 6 | export const apiArticleList = (data, config) => { 7 | return http.post('article/list', data, config); 8 | }; 9 | export const apiAllArticle = (data, config) => { 10 | return http.post('article/allarticle', data, config); 11 | }; 12 | export const apiUserCommentList = (data, config) => { 13 | return http.post('article/comment', data, config); 14 | }; 15 | export const apiArticleGet = (data, config) => { 16 | return http.post('article/fetch', data, config); 17 | }; 18 | 19 | export const apiArticleCount = (data, config) => { 20 | return http.post('article/count', data, config); 21 | }; 22 | 23 | 24 | -------------------------------------------------------------------------------- /weibo_Vue/src/api/auth.js: -------------------------------------------------------------------------------- 1 | import http from '@/utils/http'; 2 | export const apiGetUserInfo = (data, config) => { 3 | return http.post('auth/user/info', data, config); 4 | }; 5 | -------------------------------------------------------------------------------- /weibo_Vue/src/api/category.js: -------------------------------------------------------------------------------- 1 | import http from '@/utils/http'; 2 | export const apiGetCategoryList = (data, config) => { 3 | return http.post('category/list', data, config); 4 | }; 5 | export const apiSaveCategory = (data, config) => { 6 | return http.post('category/save', data, config); 7 | }; 8 | 9 | -------------------------------------------------------------------------------- /weibo_Vue/src/api/comment.js: -------------------------------------------------------------------------------- 1 | import http from '@/utils/http'; 2 | export const apiCommentSave = (data, config) => { 3 | return http.post('comment/save', data, config); 4 | }; 5 | export const apiCommentList = (data, config) => { 6 | return http.post('comment/list', data, config); 7 | }; 8 | 9 | -------------------------------------------------------------------------------- /weibo_Vue/src/assets/css/_variable.scss: -------------------------------------------------------------------------------- 1 | $twitter-blue: #1da1f2; 2 | $twitter-font: #66757f; 3 | $boder-color: #a4d9f9; 4 | $twitter-font-shallow: #657786; 5 | $button-hover: #e8f5fd; 6 | $backgroud-main: #e6ecf0; 7 | $height-header: 47px; 8 | $height-welcome:300px; 9 | $height-fake-area:30px; 10 | $height-profile-nav-wrap:60px; 11 | -------------------------------------------------------------------------------- /weibo_Vue/src/assets/css/emoji.css: -------------------------------------------------------------------------------- 1 | .emoji-yum { 2 | width: 64px; 3 | height: 64px; 4 | background-position: -0px -0px !important; 5 | } 6 | 7 | .emoji-angry { 8 | width: 64px; 9 | height: 64px; 10 | background-position: -64px -0px !important; 11 | } 12 | 13 | .emoji-anguished { 14 | width: 64px; 15 | height: 64px; 16 | background-position: -128px -0px !important; 17 | } 18 | 19 | .emoji-astonished { 20 | width: 64px; 21 | height: 64px; 22 | background-position: -192px -0px !important; 23 | } 24 | 25 | .emoji-cold_sweat { 26 | width: 64px; 27 | height: 64px; 28 | background-position: -256px -0px !important; 29 | } 30 | 31 | .emoji-cry { 32 | width: 64px; 33 | height: 64px; 34 | background-position: -320px -0px !important; 35 | } 36 | 37 | .emoji-blush { 38 | width: 64px; 39 | height: 64px; 40 | background-position: -384px -0px !important; 41 | } 42 | 43 | .emoji-confounded { 44 | width: 64px; 45 | height: 64px; 46 | background-position: -448px -0px !important; 47 | } 48 | 49 | .emoji-dizzy_face { 50 | width: 64px; 51 | height: 64px; 52 | background-position: -512px -0px !important; 53 | } 54 | 55 | .emoji-flushed { 56 | width: 64px; 57 | height: 64px; 58 | background-position: -0px -64px !important; 59 | } 60 | 61 | .emoji-fearful { 62 | width: 64px; 63 | height: 64px; 64 | background-position: -64px -64px !important; 65 | } 66 | 67 | .emoji-grimacing { 68 | width: 64px; 69 | height: 64px; 70 | background-position: -128px -64px !important; 71 | } 72 | 73 | .emoji-disappointed_relieved { 74 | width: 64px; 75 | height: 64px; 76 | background-position: -192px -64px !important; 77 | } 78 | 79 | .emoji-disappointed { 80 | width: 64px; 81 | height: 64px; 82 | background-position: -256px -64px !important; 83 | } 84 | 85 | .emoji-expressionless { 86 | width: 64px; 87 | height: 64px; 88 | background-position: -320px -64px !important; 89 | } 90 | 91 | .emoji-innocent { 92 | width: 64px; 93 | height: 64px; 94 | background-position: -384px -64px !important; 95 | } 96 | 97 | .emoji-grin { 98 | width: 64px; 99 | height: 64px; 100 | background-position: -448px -64px !important; 101 | } 102 | 103 | .emoji-frowning { 104 | width: 64px; 105 | height: 64px; 106 | background-position: -512px -64px !important; 107 | } 108 | 109 | .emoji-hushed { 110 | width: 64px; 111 | height: 64px; 112 | background-position: -0px -128px !important; 113 | } 114 | 115 | .emoji-open_mouth { 116 | width: 64px; 117 | height: 64px; 118 | background-position: -64px -128px !important; 119 | } 120 | 121 | .emoji-pensive { 122 | width: 64px; 123 | height: 64px; 124 | background-position: -128px -128px !important; 125 | } 126 | 127 | .emoji-sleepy { 128 | width: 64px; 129 | height: 64px; 130 | background-position: -192px -128px !important; 131 | } 132 | 133 | .emoji-confused { 134 | width: 64px; 135 | height: 64px; 136 | background-position: -256px -128px !important; 137 | } 138 | 139 | .emoji-persevere { 140 | width: 64px; 141 | height: 64px; 142 | background-position: -320px -128px !important; 143 | } 144 | 145 | .emoji-relieved { 146 | width: 64px; 147 | height: 64px; 148 | background-position: -384px -128px !important; 149 | } 150 | 151 | .emoji-scream { 152 | width: 64px; 153 | height: 64px; 154 | background-position: -448px -128px !important; 155 | } 156 | 157 | .emoji-stuck_out_tongue_winking_eye { 158 | width: 64px; 159 | height: 64px; 160 | background-position: -512px -128px !important; 161 | } 162 | 163 | .emoji-stuck_out_tongue { 164 | width: 64px; 165 | height: 64px; 166 | background-position: -0px -192px !important; 167 | } 168 | 169 | .emoji-satisfied { 170 | width: 64px; 171 | height: 64px; 172 | background-position: -64px -192px !important; 173 | } 174 | 175 | .emoji-no_mouth { 176 | width: 64px; 177 | height: 64px; 178 | background-position: -128px -192px !important; 179 | } 180 | 181 | .emoji-smiley { 182 | width: 64px; 183 | height: 64px; 184 | background-position: -192px -192px !important; 185 | } 186 | 187 | .emoji-smile { 188 | width: 64px; 189 | height: 64px; 190 | background-position: -256px -192px !important; 191 | } 192 | 193 | .emoji-stuck_out_tongue_closed_eyes { 194 | width: 64px; 195 | height: 64px; 196 | background-position: -320px -192px !important; 197 | } 198 | 199 | .emoji-sweat { 200 | width: 64px; 201 | height: 64px; 202 | background-position: -384px -192px !important; 203 | } 204 | 205 | .emoji-joy { 206 | width: 64px; 207 | height: 64px; 208 | background-position: -448px -192px !important; 209 | } 210 | 211 | .emoji-heart_eyes { 212 | width: 64px; 213 | height: 64px; 214 | background-position: -512px -192px !important; 215 | } 216 | 217 | .emoji-grinning { 218 | width: 64px; 219 | height: 64px; 220 | background-position: -0px -256px !important; 221 | } 222 | 223 | .emoji-smirk { 224 | width: 64px; 225 | height: 64px; 226 | background-position: -64px -256px !important; 227 | } 228 | 229 | .emoji-relaxed { 230 | width: 64px; 231 | height: 64px; 232 | background-position: -128px -256px !important; 233 | } 234 | 235 | .emoji-kissing_closed_eyes { 236 | width: 64px; 237 | height: 64px; 238 | background-position: -192px -256px !important; 239 | } 240 | 241 | .emoji-sunglasses { 242 | width: 64px; 243 | height: 64px; 244 | background-position: -256px -256px !important; 245 | } 246 | 247 | .emoji-sweat_smile { 248 | width: 64px; 249 | height: 64px; 250 | background-position: -320px -256px !important; 251 | } 252 | 253 | .emoji-sob { 254 | width: 64px; 255 | height: 64px; 256 | background-position: -384px -256px !important; 257 | } 258 | 259 | .emoji-wink { 260 | width: 64px; 261 | height: 64px; 262 | background-position: -448px -256px !important; 263 | } 264 | 265 | .emoji-worried { 266 | width: 64px; 267 | height: 64px; 268 | background-position: -512px -256px !important; 269 | } 270 | 271 | .emoji-neutral_face { 272 | width: 64px; 273 | height: 64px; 274 | background-position: -0px -320px !important; 275 | } 276 | 277 | .emoji-unamused { 278 | width: 64px; 279 | height: 64px; 280 | background-position: -64px -320px !important; 281 | } 282 | 283 | .emoji-weary { 284 | width: 64px; 285 | height: 64px; 286 | background-position: -128px -320px !important; 287 | } 288 | 289 | .emoji-tired_face { 290 | width: 64px; 291 | height: 64px; 292 | background-position: -192px -320px !important; 293 | } 294 | 295 | .emoji-triumph { 296 | width: 64px; 297 | height: 64px; 298 | background-position: -256px -320px !important; 299 | } 300 | 301 | .emoji-laughing { 302 | width: 64px; 303 | height: 64px; 304 | background-position: -320px -320px !important; 305 | } 306 | 307 | .emoji-kissing_heart { 308 | width: 64px; 309 | height: 64px; 310 | background-position: -384px -320px !important; 311 | } 312 | -------------------------------------------------------------------------------- /weibo_Vue/src/assets/img/article_item_sprite.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/yonginggg/WeiboRumorClassify_Vue_Flask/81e739c7d679e6c51ac2f78b3d95f73f2860d71f/weibo_Vue/src/assets/img/article_item_sprite.png -------------------------------------------------------------------------------- /weibo_Vue/src/assets/img/desc.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/yonginggg/WeiboRumorClassify_Vue_Flask/81e739c7d679e6c51ac2f78b3d95f73f2860d71f/weibo_Vue/src/assets/img/desc.gif -------------------------------------------------------------------------------- /weibo_Vue/src/assets/img/emoji_sprite.png: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- 1 | 6 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/commons/comment/Comment.vue: -------------------------------------------------------------------------------- 1 | 50 | 196 | 312 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/commons/comment/Emoji.vue: -------------------------------------------------------------------------------- 1 | 4 | 18 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/commons/comment/EmojiPanel.vue: -------------------------------------------------------------------------------- 1 | 11 | 92 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/commons/dialog/BlogDialog.vue: -------------------------------------------------------------------------------- 1 | 31 | 60 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/commons/divider/Divider.vue: -------------------------------------------------------------------------------- 1 | 8 | 16 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/commons/formItem/FormItem.vue: -------------------------------------------------------------------------------- 1 | 9 | 22 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/commons/input/BlogInput.vue: -------------------------------------------------------------------------------- 1 | 13 | 39 | 40 | 63 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/commons/message/Message.vue: -------------------------------------------------------------------------------- 1 | 8 | 9 | 30 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/commons/message/index.js: -------------------------------------------------------------------------------- 1 | import Vue from 'vue' 2 | import MessageTmp from './Message.vue' 3 | const MessageConstruct = Vue.extend(MessageTmp) // 创建的是一个组件构造器，不是实例 4 | const Message = { 5 | install: (options, type) => { 6 | if (typeof (options) === 'function') { 7 | return; 8 | } 9 | if (options === undefined || options === null) { 10 | options = { 11 | content: '' 12 | } 13 | } else if (typeof options === 'string' || typeof options === 'number') { 14 | options = { 15 | content: options 16 | } 17 | if (type != undefined && options != null) { 18 | options.type = type; 19 | } 20 | } 21 | let instance = new MessageConstruct({ 22 | data: options 23 | }).$mount() 24 | document.body.appendChild(instance.$el) // 添加dom元素 25 | Vue.nextTick(() => { // dom元素渲染完成后执行回调 26 | instance.visible = true 27 | }) 28 | } 29 | } 30 | Vue.prototype.$message = Message.install; 31 | ['success', 'error'].forEach(type => { 32 | Vue.prototype.$message[type] = (content) => { 33 | return Vue.prototype.$message(content, type) 34 | } 35 | }) 36 | export default Message -------------------------------------------------------------------------------- /weibo_Vue/src/components/commons/pagination/Pagination.vue: -------------------------------------------------------------------------------- 1 | 38 | 91 | 214 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/commons/radio/Radio.vue: -------------------------------------------------------------------------------- 1 | 11 | 43 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/commons/radio/RadioGroup.vue: -------------------------------------------------------------------------------- 1 | 6 | 39 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/commons/tag/Tag.vue: -------------------------------------------------------------------------------- 1 | 12 | 33 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/commons/tagInputer/TagInputer.vue: -------------------------------------------------------------------------------- 1 | 17 | 50 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/commons/textUnderline/TextUnderline.vue: -------------------------------------------------------------------------------- 1 | 8 | 35 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/header/Header.vue: -------------------------------------------------------------------------------- 1 | 34 | 129 | 195 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/header/children/Login.vue: -------------------------------------------------------------------------------- 1 | 11 | 43 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/header/children/MenuItem.vue: -------------------------------------------------------------------------------- 1 | 9 | 73 | 114 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/home/articleItem/ArticleItem.vue: -------------------------------------------------------------------------------- 1 | 41 | 128 | 187 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/home/articleItem/SmallArticleItem.vue: -------------------------------------------------------------------------------- 1 | 26 | 70 | 131 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/home/indexMenu/IndexMenu.vue: -------------------------------------------------------------------------------- 1 | 61 | 241 | 291 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/home/indexMenu/children/BloggerInfo.vue: -------------------------------------------------------------------------------- 1 | 27 | 55 | 72 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/home/indexMenu/children/MenuItem.vue: -------------------------------------------------------------------------------- 1 | 16 | 46 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/home/indexMenu/children/ProfileHeading.vue: -------------------------------------------------------------------------------- 1 | 23 | 43 | 122 | -------------------------------------------------------------------------------- /weibo_Vue/src/components/home/indexMenu/children/SearchBar.vue: -------------------------------------------------------------------------------- 1 | 22 | 120 | 186 | -------------------------------------------------------------------------------- /weibo_Vue/src/directives/vueClickOutSize.js: -------------------------------------------------------------------------------- 1 | const clickOutside = { 2 | // 初始化指令 3 | bind(el, binding, vnode) { 4 | function clickHandler(e) { 5 | // 这里判断点击的元素是否是本身，是本身，则返回 6 | if (el.contains(e.target)) { 7 | return false; 8 | } 9 | // 判断指令中是否绑定了函数 10 | if (binding.expression) { 11 | // 如果绑定了函数 则调用那个函数，此处binding.value就是handleClose方法 12 | binding.value(e); 13 | } 14 | } 15 | // 给当前元素绑定个私有变量，方便在unbind中可以解除事件监听 16 | el.__vueClickOutside__ = clickHandler; 17 | document.addEventListener("click", clickHandler); 18 | }, 19 | unbind(el, binding) { 20 | // 解除事件监听 21 | document.removeEventListener("click", el.__vueClickOutside__); 22 | delete el.__vueClickOutside__; // 删除属性 23 | } 24 | }; 25 | export default clickOutside -------------------------------------------------------------------------------- /weibo_Vue/src/main.js: -------------------------------------------------------------------------------- 1 | import Vue from 'vue'; 2 | import App from '@/App.vue'; 3 | import router from './router.js'; 4 | import $ from 'jquery' 5 | import axios from 'axios' 6 | Vue.prototype.$axios = axios 7 | import 'bootstrap' 8 | import mavonEditor from 'mavon-editor'; 9 | import 'mavon-editor/dist/css/index.css'; 10 | import Message from '@/components/commons/message'; 11 | import ElementUI from 'element-ui'; 12 | import 'element-ui/lib/theme-chalk/index.css'; 13 | Vue.use(Message); 14 | Vue.use(mavonEditor); 15 | Vue.use(ElementUI); 16 | Vue.config.productionTip = false; 17 | new Vue({ 18 | router, 19 | render: (h) => h(App), 20 | }).$mount('#app'); 21 | router.beforeEach((to, from, next) => { 22 | next(); 23 | }); 24 | 25 | -------------------------------------------------------------------------------- /weibo_Vue/src/router.js: -------------------------------------------------------------------------------- 1 | import Vue from 'vue'; 2 | import Router from 'vue-router'; 3 | Vue.use(Router); 4 | export default new Router({ 5 | routes: [{ 6 | path: '/404', 7 | name: '找不到页面', 8 | component: () => import('@/views/NotFound.vue'), 9 | }, 10 | { 11 | path: '/login', 12 | name: 'login', 13 | component: () => import('@/Login.vue'), 14 | }, 15 | { 16 | path: '/register', 17 | name: 'register', 18 | component: () => import('@/Register.vue'), 19 | }, 20 | { 21 | path: '/', 22 | component: () => import('@/views/navigation/Layout.vue'), 23 | redirect: { 24 | path: "/login" 25 | }, 26 | children: [{ 27 | path: '/home', 28 | name: '首页', 29 | component: () => import('@/views/navigation/home/HomeLayout.vue'), 30 | children: [{ 31 | path: '/welcome/:id', 32 | name: '文章', 33 | component: () => import('@/views/navigation/home/Skill.vue'), 34 | }, 35 | { 36 | path: '/life', 37 | name: '生活', 38 | component: () => import('@/views/navigation/home/Life.vue'), 39 | }, 40 | ] 41 | }, 42 | { 43 | path: '/about', 44 | name: '关于', 45 | component: () => import('@/views/navigation/about/About.vue'), 46 | }, 47 | { 48 | path: '/comment', 49 | name: '留言', 50 | component: () => import('@/views/navigation/comment/Comment.vue'), 51 | }, 52 | { 53 | path: '/article/:id', 54 | name: '文章浏览', 55 | component: () => import('@/views/ArticleBrowser.vue'), 56 | }, 57 | ] 58 | }, 59 | { 60 | path: '/article/edit/:articleID', 61 | component: () => import('@/views/ArticleEdit.vue'), 62 | }, 63 | { 64 | path: '/*', 65 | redirect: { 66 | path: '/404' 67 | } 68 | } 69 | ], 70 | scrollBehavior(to, from, savedPosition) { 71 | if (from.name === '关于' && to.name == '文章') { 72 | return { 73 | x: 0, 74 | y: 0 75 | } 76 | } 77 | if (to.name === '关于') { 78 | return { 79 | x: 0, 80 | y: 0 81 | } 82 | } 83 | } 84 | }); 85 | -------------------------------------------------------------------------------- /weibo_Vue/src/utils/bus.js: -------------------------------------------------------------------------------- 1 | import Vue from 'vue' 2 | 3 | export default new Vue() 4 | -------------------------------------------------------------------------------- /weibo_Vue/src/utils/http.js: -------------------------------------------------------------------------------- 1 | import axios from 'axios'; 2 | class Http { 3 | service = null; 4 | constructor() { 5 | axios.defaults.headers.post['Content-Type'] = 'application/x-www-form-urlencoded'; 6 | this.service = axios.create({ 7 | baseURL: '/api/', 8 | timeout: 5000000 9 | }); 10 | this.service.interceptors.request.use((config) => { 11 | if (sessionStorage.getItem('token')) { 12 | config.headers.Authorization = 'BEARER ' + sessionStorage.getItem('token'); 13 | } 14 | return config; 15 | }, (error) => Promise.reject(error)); 16 | this.service.interceptors.response.use((response) => { 17 | if (response.status === 200) { 18 | if (response.data) { 19 | if (response.data.Code === 0) { 20 | return Promise.resolve(response.data || true); 21 | } 22 | return Promise.reject(response.data || true); 23 | } 24 | return Promise.resolve(response || false); 25 | } 26 | return Promise.reject(response || false); 27 | }, (error) => { 28 | return Promise.reject(error); 29 | }); 30 | } 31 | get(url, params = {}) { 32 | return this.service.get(`${url}`, { 33 | params 34 | }); 35 | } 36 | post(url, data = {}, config = {}) { 37 | return this.service.post(`${url}`, data, config); 38 | } 39 | } 40 | export default new Http(); -------------------------------------------------------------------------------- /weibo_Vue/src/views/ArticleBrowser.vue: -------------------------------------------------------------------------------- 1 | 17 | 53 | 66 | -------------------------------------------------------------------------------- /weibo_Vue/src/views/ArticleEdit.vue: -------------------------------------------------------------------------------- 1 | 48 | 176 | 230 | -------------------------------------------------------------------------------- /weibo_Vue/src/views/NotFound.vue: -------------------------------------------------------------------------------- 1 | 4 | 12 | -------------------------------------------------------------------------------- /weibo_Vue/src/views/navigation/Layout.vue: -------------------------------------------------------------------------------- 1 | 16 | 28 | -------------------------------------------------------------------------------- /weibo_Vue/src/views/navigation/about/About.vue: -------------------------------------------------------------------------------- 1 | 49 | 67 | 152 | -------------------------------------------------------------------------------- /weibo_Vue/src/views/navigation/comment/Comment.vue: -------------------------------------------------------------------------------- 1 | 12 | 35 | 54 | -------------------------------------------------------------------------------- /weibo_Vue/src/views/navigation/home/HomeLayout.vue: -------------------------------------------------------------------------------- 1 | 27 | 101 | 102 | 169 | -------------------------------------------------------------------------------- /weibo_Vue/src/views/navigation/home/Life.vue: -------------------------------------------------------------------------------- 1 | 16 | 103 | 104 | 124 | -------------------------------------------------------------------------------- /weibo_Vue/src/views/navigation/home/Skill.vue: -------------------------------------------------------------------------------- 1 | 20 | 107 | 108 | 131 | -------------------------------------------------------------------------------- /weibo_Vue/vue.config.js: -------------------------------------------------------------------------------- 1 | const CompressionWebpackPlugin = require('compression-webpack-plugin') //gzip压缩 2 | const productionGzipExtensions = ['js', 'css'] 3 | const UglifyJsPlugin = require('uglifyjs-webpack-plugin') 4 | module.exports = { 5 | css: { 6 | loaderOptions: { 7 | sass: { 8 | data: ` 9 | @import "@/assets/css/_variable.scss"; 10 | ` 11 | }, 12 | } 13 | }, 14 | configureWebpack: { 15 | plugins: [ 16 | new UglifyJsPlugin({ 17 | uglifyOptions: { 18 | compress: { 19 | drop_debugger: true, 20 | drop_console: true, //生产环境自动删除console 21 | }, 22 | warnings: false, 23 | }, 24 | sourceMap: false, 25 | parallel: true, //使用多进程并行运行来提高构建速度。默认并发运行数：os.cpus().length - 1。 26 | }), 27 | new CompressionWebpackPlugin({ 28 | filename: '[path].gz[query]', 29 | algorithm: 'gzip', 30 | test: new RegExp('\\.(' + productionGzipExtensions.join('|') + ')$'), 31 | threshold: 10240, 32 | minRatio: 0.8 33 | }), 34 | ] 35 | }, 36 | chainWebpack: config => { 37 | config.module 38 | .rule('images') 39 | .use('image-webpack-loader') 40 | .loader('image-webpack-loader') 41 | .options({ 42 | bypassOnDebug: true 43 | }) 44 | .end() 45 | }, 46 | productionSourceMap: false, 47 | devServer: { 48 | // 配置代理 49 | proxy: { 50 | '/api': { 51 | ws: false, //禁用websocket 52 | target: 'http://localhost:8848/', 53 | changeOrigin: true, 54 | } 55 | }, 56 | port: 12322, 57 | disableHostCheck: true, 58 | }, 59 | }// 但是一直也不清楚自己的blog应该长啥样。 -------------------------------------------------------------------------------- /weibo_flask/.idea/.gitignore: -------------------------------------------------------------------------------- 1 | # Default ignored files 2 | /shelf/ 3 | /workspace.xml 4 | # Datasource local storage ignored files 5 | /dataSources/ 6 | /dataSources.local.xml 7 | # Editor-based HTTP Client requests 8 | /httpRequests/ 9 | -------------------------------------------------------------------------------- /weibo_flask/.idea/inspectionProfiles/Project_Default.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 21 | -------------------------------------------------------------------------------- /weibo_flask/.idea/inspectionProfiles/profiles_settings.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 6 | -------------------------------------------------------------------------------- /weibo_flask/.idea/misc.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 6 | 7 | -------------------------------------------------------------------------------- /weibo_flask/.idea/modules.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | -------------------------------------------------------------------------------- /weibo_flask/.idea/weibo_flask.iml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 14 | -------------------------------------------------------------------------------- /weibo_flask/app.py: -------------------------------------------------------------------------------- 1 | from flask import Flask, render_template, request, jsonify,Response 2 | import pymysql 3 | import threading 4 | import datetime 5 | import tensorflow as tf 6 | from tensorflow.python.keras.models import Sequential 7 | from tensorflow.python.keras.layers import Dense, GRU, Embedding, LSTM, Bidirectional 8 | from tensorflow.python.keras.optimizers import RMSprop 9 | from tensorflow.python.keras.optimizers import Adam 10 | from tensorflow.python.keras.callbacks import EarlyStopping, ModelCheckpoint, TensorBoard, ReduceLROnPlateau 11 | from tensorflow.python.keras.preprocessing.text import Tokenizer 12 | from tensorflow.python.keras.preprocessing.sequence import pad_sequences 13 | import re 14 | import pkuseg 15 | import pandas as pd 16 | from gensim.models import KeyedVectors# gensim用来加载预训练词向量 17 | 18 | max_tokens = 58 19 | seg = pkuseg.pkuseg(model_name='web') # 程序会自动下载所对应的细领域模型 20 | #导入停用词 21 | stopwords=pd.read_csv("D:/Work/大三下/大三暑假短学期/数据处理/stopwords/stopwords.txt",index_col=False,sep="\t",quoting=3,names=['stopword'], encoding='utf-8') 22 | stopwords = stopwords.stopword.values.tolist()#转为list形式 23 | cn_model = KeyedVectors.load_word2vec_format('D:/Work/大三下/大三暑假短学期/数据处理/embeddings/sgns.weibo.bigram', 24 | binary=False, 25 | unicode_errors="ignore") 26 | model = tf.keras.models.load_model('D:/Work/大三下/大三暑假短学期/数据处理/LSTM_rumor_model_58.h5') 27 | 28 | from flask_cors import * 29 | app = Flask(__name__) 30 | CORS(app, supports_credentials=True) 31 | def predict_rumor_LSTM(text): 32 | print(text) 33 | # 去标点 34 | text = re.sub("[\s+\.\!\/_,$%^*(+\"\']+|[+——！，。？、~@#￥%……&*（）]+", "",text) 35 | # 分词 36 | cut = seg.cut(text) 37 | #去除停用词 38 | cut_clean=[] 39 | for word in cut: 40 | if word in stopwords: 41 | continue 42 | cut_clean.append(word) 43 | # tokenize 44 | for i, word in enumerate(cut_clean): 45 | try: 46 | cut_clean[i] = cn_model.vocab[word].index 47 | if cut_clean[i] >= 50000: 48 | cut_clean[i] = 0 49 | except KeyError: 50 | cut_clean[i] = 0 51 | # padding 52 | tokens_pad = pad_sequences([cut_clean], maxlen=max_tokens, 53 | padding='pre', truncating='pre') 54 | # 预测 55 | dic={0:'谣言',1:'真言'} 56 | result = model.predict(x=tokens_pad) 57 | coef = result[0][0] 58 | if coef >= 0.5: 59 | return dic[1] 60 | else: 61 | return dic[0] 62 | 63 | # 显示用户言论列表 64 | @app.route('/api/article/list', methods=['POST', 'GET']) 65 | def getlist(): 66 | data = eval(request.data.decode()) 67 | Page = data['Page'] 68 | Personal = data['Personal'] 69 | db = pymysql.connect(host="127.0.0.1", user="root", password="yys981030", db="谣言", port=3306) 70 | cursor = cur = db.cursor() # 获取数据库的游标 71 | count = cursor.execute('select * from article where personal_id = %s order by id DESC',Personal) # 获取操作数据库的游标 72 | results = cursor.fetchall() 73 | alllist = [] 74 | for i in range(len(results)): 75 | if(i=Page*10-10): 76 | datalist = {"ID":results[i][0],"CreatedAt":results[i][1],"content":results[i][2],"Tags":results[i][3],"Pensonal":results[i][4],"Pensonalname":results[i][5],"Categories":results[i][6]} 77 | alllist.append(datalist) 78 | midlist = {"List":alllist,"Total":len(results)} 79 | finallist = {"Code":0, "Msg":"","Data":midlist,} 80 | 81 | # 提交，不然无法保存新建或者修改的数据 82 | db.commit() 83 | # 关闭游标 84 | cursor.close() 85 | # 关闭连接 86 | db.close() 87 | return jsonify(finallist) 88 | 89 | # 显示所有言论列表 90 | @app.route('/api/article/allarticle', methods=['POST', 'GET']) 91 | def getallarticle(): 92 | data = eval(request.data.decode()) 93 | Page = data['Page'] 94 | db = pymysql.connect(host="127.0.0.1", user="root", password="yys981030", db="谣言", port=3306) 95 | cursor = cur = db.cursor() # 获取数据库的游标 96 | count = cursor.execute('select * from article order by id DESC') # 获取操作数据库的游标 97 | results = cursor.fetchall() 98 | alllist = [] 99 | for i in range(len(results)): 100 | if(i=Page*10-10): 101 | datalist = {"ID":results[i][0],"CreatedAt":results[i][1],"content":results[i][2],"Tags":results[i][3],"Pensonal":results[i][4],"Pensonalname":results[i][5],"Categories":results[i][6]} 102 | alllist.append(datalist) 103 | midlist = {"List":alllist,"Total":len(results)} 104 | finallist = {"Code":0, "Msg":"","Data":midlist,} 105 | 106 | # 提交，不然无法保存新建或者修改的数据 107 | db.commit() 108 | # 关闭游标 109 | cursor.close() 110 | # 关闭连接 111 | db.close() 112 | return jsonify(finallist) 113 | 114 | # 显示言论详情 115 | @app.route('/api/article/fetch', methods=['POST', 'GET']) 116 | def articleFetch(): 117 | data = eval(request.data.decode()) 118 | ID = data['ID'] 119 | db = pymysql.connect(host="127.0.0.1", user="root", password="yys981030", db="谣言", port=3306) 120 | cursor = cur = db.cursor() # 获取数据库的游标 121 | count = cursor.execute('select * from article where id = %s',ID) # 获取操作数据库的游标 122 | results = cursor.fetchall() 123 | datalist = {} 124 | for i in range(len(results)): 125 | datalist = {"ID":results[i][0],"CreatedAt":results[i][1],"Content":results[i][2],"Tags":results[i][3],"Pensonal":results[i][4],"Title":results[i][5],"Categories":results[i][6],"GithubUrl": "http://localhost:12322/#/welcome/"+str(results[i][4])} 126 | finallist = {"Code":0, "Msg":"","Data":datalist,} 127 | 128 | # 提交，不然无法保存新建或者修改的数据 129 | db.commit() 130 | # 关闭游标 131 | cursor.close() 132 | # 关闭连接 133 | db.close() 134 | return jsonify(finallist) 135 | 136 | # 显示用户留言列表 137 | @app.route('/api/article/comment', methods=['POST', 'GET']) 138 | def getUserComment(): 139 | data = eval(request.data.decode()) 140 | Page = data['Page'] 141 | Personal = data['Personal'] 142 | db = pymysql.connect(host="127.0.0.1", user="root", password="yys981030", db="谣言", port=3306) 143 | cursor = cur = db.cursor() # 获取数据库的游标 144 | count = cursor.execute('select * from user_comment where commented_id = %s',Personal) # 获取操作数据库的游标 145 | results = cursor.fetchall() 146 | alllist = [] 147 | for i in range(len(results)): 148 | if(i=Page*10-10): 149 | datalist = {"ID":results[i][0],"CreatedAt":results[i][1],"content":results[i][2],"commented_id":results[i][3],"Pensonal":results[i][4],"Pensonalname":results[i][5]} 150 | alllist.append(datalist) 151 | midlist = {"List":alllist,"Total":len(results)} 152 | finallist = {"Code":0, "Msg":"","Data":midlist,} 153 | 154 | # 提交，不然无法保存新建或者修改的数据 155 | db.commit() 156 | # 关闭游标 157 | cursor.close() 158 | # 关闭连接 159 | db.close() 160 | return jsonify(finallist) 161 | 162 | # 显示言论的评论列表 163 | @app.route('/api/comment/list', methods=['POST', 'GET']) 164 | def getAtricleComment(): 165 | data = eval(request.data.decode()) 166 | articleId = data['ArticleID'] 167 | db = pymysql.connect(host="127.0.0.1", user="root", password="yys981030", db="谣言", port=3306) 168 | cursor = cur = db.cursor() # 获取数据库的游标 169 | count = cursor.execute('select * from article_comment where article_id = %s',articleId) # 获取操作数据库的游标 170 | results = cursor.fetchall() 171 | alllist = [] 172 | picture = ["http://pic2.zhimg.com/50/v2-d0e0847a32fbe01eb19e8a4834d60ecd_hd.jpg","https://pic4.zhimg.com/80/v2-8b03829610d7f875a931fe8c7ada4926_1440w.jpg?source=1940ef5c", 173 | "https://pic2.zhimg.com/80/v2-7cea67f01f6a3bfb14f0266ca875c77e_1440w.jpg?source=1940ef5c","https://pic2.zhimg.com/80/v2-c4a5d55093898b3bfe205447613f2055_1440w.jpg?source=1940ef5c", 174 | "https://pic2.zhimg.com/80/v2-9e082ad6373b8c1499a474230533ce7a_1440w.jpg?source=1940ef5c","https://pic2.zhimg.com/80/v2-3acf294099fb0b052b1a1ffd5c523dc9_1440w.jpg?source=1940ef5c", 175 | "https://pic1.zhimg.com/80/v2-78438adb9dd16cda8a8384e1662cbd74_1440w.jpg?source=1940ef5c","https://pic1.zhimg.com/80/v2-defdc3aee4c844bb0db09cd86e855cb0_1440w.jpg?source=1940ef5c"] 176 | for i in range(len(results)): 177 | datalist = {"ID":results[i][0],"CreatedAt":results[i][1],"Content":results[i][2],"ArticleID":results[i][3],"Pensonal":results[i][4],"Username":results[i][5], 178 | "AvatarUrl": picture[i%8],"GithubUrl": "http://localhost:12322/#/welcome/"+str(results[i][4]),"GitUserID": 55419701} 179 | alllist.append(datalist) 180 | midlist = {"List":alllist,"Total":len(results)} 181 | finallist = {"Code":0, "Msg":"","Data":midlist} 182 | 183 | # 提交，不然无法保存新建或者修改的数据 184 | db.commit() 185 | # 关闭游标 186 | cursor.close() 187 | # 关闭连接 188 | db.close() 189 | return jsonify(finallist) 190 | 191 | # 显示标签列表 192 | @app.route('/api/category/list', methods=['POST', 'GET']) 193 | def getCategory(): 194 | db = pymysql.connect(host="127.0.0.1", user="root", password="yys981030", db="谣言", port=3306) 195 | cursor = cur = db.cursor() # 获取数据库的游标 196 | count = cursor.execute('select * from category') # 获取操作数据库的游标 197 | results = cursor.fetchall() 198 | alllist = [] 199 | for i in range(len(results)): 200 | datalist = {"ID":results[i][0],"Name":results[i][1]} 201 | alllist.append(datalist) 202 | midlist = {"List":alllist,"Total":len(results)} 203 | finallist = {"Code":0, "Msg":"","Data":midlist,} 204 | 205 | # 提交，不然无法保存新建或者修改的数据 206 | db.commit() 207 | # 关闭游标 208 | cursor.close() 209 | # 关闭连接 210 | db.close() 211 | return jsonify(finallist) 212 | 213 | # 动态、留言板数量 214 | @app.route('/api/article/count', methods=['POST', 'GET']) 215 | def getcomments(): 216 | data = eval(request.data.decode()) 217 | Personal = data['Personal'] 218 | db = pymysql.connect(host="127.0.0.1", user="root", password="yys981030", db="谣言", port=3306) 219 | 220 | cursor = cur = db.cursor() # 获取数据库的游标 221 | count = cursor.execute('select * from article') # 获取操作数据库的游标 222 | results = cursor.fetchall() 223 | Sum = len(results) # 总数量 224 | 225 | count = cursor.execute('select * from article where personal_id = %s',Personal) # 获取操作数据库的游标 226 | results = cursor.fetchall() 227 | articleSum = len(results) # 动态数量 228 | 229 | count = cursor.execute('select * from user where userid = %s',Personal) # 获取操作数据库的游标 230 | results = cursor.fetchall() 231 | Name = results[0][2] # 姓名 232 | 233 | trueSum = 0 234 | for i in range(len(results)): 235 | if(results[i][3] == "真言"): 236 | trueSum = trueSum+1 237 | data = {"articleSum": articleSum,"commentSum": Sum,"true": trueSum,"false": len(results)-trueSum,"userName": Name} 238 | datalist = {"Code":0,"Msg":"","Data":data} 239 | 240 | # 提交，不然无法保存新建或者修改的数据 241 | db.commit() 242 | # 关闭游标 243 | cursor.close() 244 | # 关闭连接 245 | db.close() 246 | return jsonify(datalist) 247 | 248 | # 登陆 249 | @app.route('/login', methods=['POST', 'GET']) 250 | def login(): 251 | db = pymysql.connect(host="127.0.0.1", user="root", password="yys981030", db="谣言", port=3306) 252 | userId = request.form.get('userId') 253 | password = request.form.get('password') 254 | # print(userId,password) 255 | # 获取数据库的游标 256 | cursor = cur = db.cursor() 257 | # 获取操作数据库的游标 258 | count = cursor.execute('select * from user where userId = %s and password = %s',(userId,password)) 259 | results = cursor.fetchall() 260 | 261 | if(count == 0): 262 | datalist = {"port":401, "message":"账号或密码错误!"} 263 | else: 264 | for i in range(len(results)): 265 | datalist = {"port":200,"userId":results[i][1],"password":results[i][3],"userName":results[i][2]} 266 | 267 | # 提交，不然无法保存新建或者修改的数据 268 | db.commit() 269 | # 关闭游标 270 | cursor.close() 271 | # 关闭连接 272 | db.close() 273 | return jsonify(datalist) 274 | 275 | # 注册 276 | @app.route('/register', methods=['POST', 'GET']) 277 | def register(): 278 | db = pymysql.connect(host="127.0.0.1", user="root", password="yys981030", db="谣言", port=3306) 279 | userId = request.form.get('userId') 280 | password = request.form.get('password') 281 | userName = request.form.get('userName') 282 | 283 | # 获取数据库的游标 284 | cursor = cur = db.cursor() 285 | # 获取操作数据库的游标 286 | count = cursor.execute("select * from user where userid = '" + userId+"'") 287 | count2 = cursor.execute("select * from user where username = '" + userName+"'") 288 | results = cursor.fetchall() 289 | if(count != 0): 290 | datalist = {"port": 401, "message": "账号已存在!"} 291 | elif(count2 != 0): 292 | datalist = {"port": 401, "message": "昵称已被占用!"} 293 | else: 294 | # 获取操作数据库的游标 295 | count = cursor.execute('insert into user(userid,password,username) VALUES(%s,%s,%s)',(userId,password,userName)) 296 | results = cursor.fetchall() 297 | datalist = {"port": 200, "message": "注册成功!","userId": userId,"password": password,"userName": userName} 298 | 299 | # 提交，不然无法保存新建或者修改的数据 300 | db.commit() 301 | # 关闭游标 302 | cursor.close() 303 | # 关闭连接 304 | db.close() 305 | return jsonify(datalist) 306 | 307 | # 发表言论 308 | @app.route('/api/article/save', methods=['POST', 'GET']) 309 | def send(): 310 | data = eval(request.data.decode()) 311 | content = data['HostKey'] 312 | categories = data['CategoryIDs'] 313 | 314 | userID = data['userID'] 315 | userName = data['userName'] 316 | db = pymysql.connect(host="127.0.0.1", user="root", password="yys981030", db="谣言", port=3306) 317 | 318 | # 获取数据库的游标 319 | cursor = cur = db.cursor() 320 | # 获取操作数据库的游标 321 | count = cursor.execute('select * from category') 322 | results = cursor.fetchall() 323 | categories = results[int(categories)-1][1] 324 | tags = predict_rumor_LSTM(content) 325 | # 获取操作数据库的游标 326 | count = cursor.execute('insert into article(created_at,content,tags,personal_id,personal_name,categories) VALUES(%s,%s,%s,%s,%s,%s)',(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'),content,tags,userID,userName,categories)) 327 | results = cursor.fetchall() 328 | datalist = { "Code": 0,"Msg": "发表成功!"} 329 | 330 | # 提交，不然无法保存新建或者修改的数据 331 | db.commit() 332 | # 关闭游标 333 | cursor.close() 334 | # 关闭连接 335 | db.close() 336 | return jsonify(datalist) 337 | 338 | # 对言论进行评论 339 | @app.route('/api/comment/save', methods=['POST', 'GET']) 340 | def commentSave(): 341 | data = eval(request.data.decode()) 342 | content = data['Content'] 343 | articleId = data['ArticleID'] 344 | userID = data['Userid'] 345 | userName = data['Username'] 346 | db = pymysql.connect(host="127.0.0.1", user="root", password="yys981030", db="谣言", port=3306) 347 | 348 | # 获取数据库的游标 349 | cursor = cur = db.cursor() 350 | # 获取操作数据库的游标 351 | count = cursor.execute('select * from category') 352 | results = cursor.fetchall() 353 | 354 | # 获取操作数据库的游标 355 | count = cursor.execute('insert into article_comment(created_at,content,article_id,user_id,username) VALUES(%s,%s,%s,%s,%s)',(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'),content,articleId,userID,userName)) 356 | results = cursor.fetchall() 357 | data = {"Data": { 358 | "comment": { 359 | "ID": 58, 360 | "CreatedAt": datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'), 361 | "Content": content, 362 | "ArticleID": articleId, 363 | "GitUserID": 55419701, 364 | "Username": userName, 365 | "AvatarUrl": "https://avatars2.githubusercontent.com/u/55419701?v=4", 366 | "GithubUrl": "https://github.com/zucc-Zs", 367 | "ArticleTitle": "2" 368 | } 369 | }} 370 | datalist = { "Code": 0,"Msg": "评论成功!","Data": data} 371 | 372 | # 提交，不然无法保存新建或者修改的数据 373 | db.commit() 374 | # 关闭游标 375 | cursor.close() 376 | # 关闭连接 377 | db.close() 378 | return jsonify(datalist) 379 | 380 | # 用户主页 381 | @app.route('/api/user', methods=['POST', 'GET']) 382 | def user(): 383 | # lock.acquire() # 上锁 384 | db = pymysql.connect(host="127.0.0.1", user="root", password="yys981030", db="谣言", port=3306) 385 | userId = request.form.get('userId') 386 | cursor = cur = db.cursor() # 获取数据库的游标 387 | count = cursor.execute('select * from comments where userId = '+userId) # 获取操作数据库的游标 388 | results = cursor.fetchall() 389 | for i in range(len(results)): 390 | datalist = {"userId": results[i][1], "password": results[i][3], "userName": results[i][2]} 391 | 392 | # 提交，不然无法保存新建或者修改的数据 393 | db.commit() 394 | # 关闭游标 395 | cursor.close() 396 | # 关闭连接 397 | db.close() 398 | # lock.release() # 解锁 399 | return jsonify(datalist) 400 | 401 | 402 | 403 | if __name__ == '__main__': 404 | lock = threading.Lock() 405 | db = pymysql.connect(host="127.0.0.1", user="root", password="yys981030", db="谣言", port=3306) 406 | app.run(debug=True,port=8848) 407 | -------------------------------------------------------------------------------- /谣言.sql: -------------------------------------------------------------------------------- 1 | /* 2 | Navicat MySQL Data Transfer 3 | 4 | Source Server : localhost_3306 5 | Source Server Type : MySQL 6 | Source Server Version : 50615 7 | Source Host : localhost:3306 8 | Source Schema : 谣言 9 | 10 | Target Server Type : MySQL 11 | Target Server Version : 50615 12 | File Encoding : 65001 13 | 14 | Date: 12/07/2020 15:42:01 15 | */ 16 | 17 | SET NAMES utf8mb4; 18 | SET FOREIGN_KEY_CHECKS = 0; 19 | 20 | -- ---------------------------- 21 | -- Table structure for article 22 | -- ---------------------------- 23 | DROP TABLE IF EXISTS `article`; 24 | CREATE TABLE `article` ( 25 | `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, 26 | `created_at` timestamp(0) NULL DEFAULT NULL, 27 | `content` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, 28 | `tags` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, 29 | `personal_id` int(10) UNSIGNED NULL DEFAULT 0, 30 | `personal_name` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, 31 | `categories` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, 32 | PRIMARY KEY (`id`) USING BTREE 33 | ) ENGINE = InnoDB AUTO_INCREMENT = 59 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact; 34 | 35 | -- ---------------------------- 36 | -- Table structure for article_category 37 | -- ---------------------------- 38 | DROP TABLE IF EXISTS `article_category`; 39 | CREATE TABLE `article_category` ( 40 | `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, 41 | `created_at` timestamp(0) NULL DEFAULT NULL, 42 | `category_id` int(10) UNSIGNED NOT NULL, 43 | `article_id` int(10) UNSIGNED NOT NULL, 44 | `category_name` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, 45 | PRIMARY KEY (`id`) USING BTREE 46 | ) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact; 47 | 48 | -- ---------------------------- 49 | -- Table structure for article_comment 50 | -- ---------------------------- 51 | DROP TABLE IF EXISTS `article_comment`; 52 | CREATE TABLE `article_comment` ( 53 | `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, 54 | `created_at` timestamp(0) NULL DEFAULT NULL, 55 | `content` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, 56 | `article_id` int(10) UNSIGNED NULL DEFAULT NULL, 57 | `user_id` int(10) UNSIGNED NULL DEFAULT NULL, 58 | `username` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, 59 | PRIMARY KEY (`id`) USING BTREE 60 | ) ENGINE = InnoDB AUTO_INCREMENT = 34 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact; 61 | 62 | -- ---------------------------- 63 | -- Table structure for category 64 | -- ---------------------------- 65 | DROP TABLE IF EXISTS `category`; 66 | CREATE TABLE `category` ( 67 | `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, 68 | `name` varchar(20) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, 69 | PRIMARY KEY (`id`) USING BTREE 70 | ) ENGINE = InnoDB AUTO_INCREMENT = 6 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact; 71 | 72 | -- ---------------------------- 73 | -- Table structure for user 74 | -- ---------------------------- 75 | DROP TABLE IF EXISTS `user`; 76 | CREATE TABLE `user` ( 77 | `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, 78 | `userid` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, 79 | `username` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, 80 | `password` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, 81 | PRIMARY KEY (`id`) USING BTREE 82 | ) ENGINE = InnoDB AUTO_INCREMENT = 21 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact; 83 | 84 | -- ---------------------------- 85 | -- Table structure for user_comment 86 | -- ---------------------------- 87 | DROP TABLE IF EXISTS `user_comment`; 88 | CREATE TABLE `user_comment` ( 89 | `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, 90 | `created_at` timestamp(0) NULL DEFAULT NULL, 91 | `content` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, 92 | `commented_id` int(10) UNSIGNED NULL DEFAULT NULL, 93 | `user_id` int(10) UNSIGNED NULL DEFAULT NULL, 94 | `username` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, 95 | PRIMARY KEY (`id`) USING BTREE 96 | ) ENGINE = InnoDB AUTO_INCREMENT = 3 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact; 97 | 98 | SET FOREIGN_KEY_CHECKS = 1; 99 | -------------------------------------------------------------------------------- /谣言检测.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # coding: utf-8 3 | 4 | # In[1]: 5 | 6 | 7 | import numpy as np 8 | import pandas as pd 9 | import re 10 | 11 | 12 | # # 导入词向量模型，https://github.com/Embedding/Chinese-Word-Vectors 13 | 14 | # In[2]: 15 | 16 | 17 | from gensim.models import KeyedVectors 18 | 19 | 20 | # In[3]: 21 | 22 | 23 | cn_model = KeyedVectors.load_word2vec_format('./embeddings/sgns.weibo.bigram', 24 | binary=False, 25 | unicode_errors="ignore") 26 | 27 | 28 | # In[46]: 29 | 30 | 31 | print(cn_model.vocab['心情'].index) 32 | print(cn_model.vectors[666].shape) 33 | print(cn_model.vectors[666]) 34 | 35 | 36 | # # 读取数据 37 | 38 | # In[4]: 39 | 40 | 41 | from tensorflow.python.keras.preprocessing.text import Tokenizer 42 | from tensorflow.python.keras.preprocessing.sequence import pad_sequences 43 | 44 | 45 | # In[5]: 46 | 47 | 48 | weibo = pd.read_csv('./data/all_data.txt',sep='\t', names=['is_not_rumor','content'],encoding='utf-8') 49 | print(weibo.head()) 50 | 51 | # In[6]: 52 | 53 | 54 | content = weibo.content.values.tolist() 55 | label=weibo.is_not_rumor.values.tolist() 56 | 57 | 58 | # In[33]: 59 | 60 | 61 | print(str(label[0])+'\t'+content[0]) 62 | 63 | 64 | # # 分词和tokenize，https://github.com/lancopku/PKUSeg-python 65 | 66 | # In[7]: 67 | 68 | 69 | import pkuseg 70 | 71 | 72 | # In[8]: 73 | 74 | 75 | stopwords=pd.read_csv("./stopwords/stopwords.txt",index_col=False,sep="\t",quoting=3,names=['stopword'], encoding='utf-8') 76 | stopwords = stopwords.stopword.values.tolist() 77 | 78 | 79 | # In[9]: 80 | 81 | 82 | seg = pkuseg.pkuseg(model_name='web') 83 | 84 | 85 | # In[10]: 86 | 87 | 88 | train_tokens = [] 89 | for text in content: 90 | text = re.sub("[\s+\.\!\/_,$%^*(+\"\']+|[+——！，。？、~@#￥%……&*（）]+", "",text) 91 | cut_list = seg.cut(text) 92 | cut_list_clean=[] 93 | for word in cut_list: 94 | if word in stopwords: 95 | continue 96 | cut_list_clean.append(word) 97 | 98 | #索引化 99 | for i, word in enumerate(cut_list_clean): 100 | try: 101 | # 将词转换为索引index 102 | cut_list_clean[i] = cn_model.vocab[word].index 103 | except KeyError: 104 | # 如果词不在字典中，则输出0 105 | cut_list_clean[i] = 0 106 | train_tokens.append(cut_list_clean) 107 | 108 | 109 | # In[11]: 110 | 111 | 112 | # 获得所有tokens的长度 113 | num_tokens = [len(tokens) for tokens in train_tokens] 114 | num_tokens = np.array(num_tokens) 115 | # 取tokens平均值并加上两个tokens的标准差， 116 | max_tokens = np.mean(num_tokens) + 2 * np.std(num_tokens) 117 | max_tokens = int(max_tokens) 118 | print(max_tokens) 119 | 120 | 121 | # In[12]: 122 | 123 | 124 | train_pad = pad_sequences(train_tokens, maxlen=max_tokens, 125 | padding='pre', truncating='pre') 126 | 127 | 128 | # In[34]: 129 | 130 | 131 | print(train_pad) 132 | 133 | 134 | # # 生成词向量 135 | 136 | # In[13]: 137 | 138 | 139 | num_words = 50000 #选择使用前50k个使用频率最高的词 140 | embedding_dim=300 #每一个词汇都用一个长度为300的向量表示 141 | embedding_matrix = np.zeros((num_words, embedding_dim)) 142 | for i in range(num_words): 143 | embedding_matrix[i,:] = cn_model[cn_model.index2word[i]]#前50000个index对应的词的词向量 144 | embedding_matrix = embedding_matrix.astype('float32') 145 | 146 | 147 | # In[14]: 148 | 149 | 150 | train_pad[train_pad>=num_words ] = 0 151 | train_target = np.array(label) 152 | 153 | 154 | # # 训练 155 | 156 | # In[15]: 157 | 158 | 159 | import tensorflow as tf 160 | from tensorflow.python.keras.models import Sequential 161 | from tensorflow.python.keras.layers import Dense, GRU, Embedding, LSTM, Bidirectional 162 | from tensorflow.python.keras.optimizers import RMSprop 163 | from tensorflow.python.keras.optimizers import Adam 164 | from tensorflow.python.keras.callbacks import EarlyStopping, ModelCheckpoint, TensorBoard, ReduceLROnPlateau 165 | 166 | 167 | # In[16]: 168 | 169 | 170 | from sklearn.model_selection import train_test_split 171 | X_train, X_test, y_train, y_test = train_test_split(train_pad, 172 | train_target, 173 | test_size=0.1, 174 | random_state=12) 175 | 176 | 177 | # In[17]: 178 | 179 | 180 | #序贯(Sequential)模型 181 | model = Sequential() 182 | # 嵌入层 183 | model.add(Embedding(num_words, 184 | embedding_dim, 185 | weights=[embedding_matrix], 186 | input_length=max_tokens, 187 | trainable=False)) 188 | #Bidirectional包装器:双向RNN包装器 189 | model.add(Bidirectional(LSTM(units=64, return_sequences=True))) 190 | model.add(Bidirectional(LSTM(units=32, return_sequences=False))) 191 | #全连接层 192 | model.add(Dense(64, activation='relu')) 193 | model.add(Dense(1, activation='sigmoid')) 194 | optimizer=Adam(lr=1e-3) 195 | 196 | 197 | # In[18]: 198 | 199 | 200 | import os 201 | 202 | 203 | # In[19]: 204 | 205 | 206 | # 建立一个权重的存储点 207 | checkpoint_save_path="./checkpoint/rumor_LSTM.ckpt" 208 | if os.path.exists(checkpoint_save_path+'.index'): 209 | print('----------load the model----------') 210 | model.load_weights(checkpoint_save_path) 211 | 212 | 213 | # In[20]: 214 | 215 | 216 | #保存参数和模型 217 | checkpoint = ModelCheckpoint(filepath=checkpoint_save_path, monitor='val_loss', 218 | verbose=1, save_weights_only=True, 219 | save_best_only=True) 220 | 221 | 222 | # In[21]: 223 | 224 | 225 | # 5个epoch内validation loss没有改善则停止训练 226 | earlystopping = EarlyStopping(monitor='val_loss', patience=5, verbose=1) 227 | 228 | # 自动降低learning rate 229 | lr_reduction = ReduceLROnPlateau(monitor='val_loss', 230 | factor=0.1, min_lr=1e-8, patience=0, 231 | verbose=1) 232 | # 定义callback函数 233 | callbacks = [ 234 | earlystopping, 235 | # checkpoint, 236 | lr_reduction 237 | ] 238 | 239 | 240 | # In[22]: 241 | 242 | 243 | model.compile(optimizer=optimizer, 244 | loss='binary_crossentropy', 245 | metrics=['accuracy']) 246 | 247 | 248 | # In[23]: 249 | 250 | 251 | model.fit(X_train, y_train,validation_split=0.1,epochs=20,batch_size=128,callbacks=callbacks) 252 | 253 | 254 | # # 保存模型 255 | 256 | # In[24]: 257 | 258 | 259 | model.save('LSTM_rumor_model_58.h5') 260 | 261 | 262 | # In[25]: 263 | 264 | 265 | result = model.evaluate(X_test, y_test) 266 | print('Accuracy:{0:.2%}'.format(result[1])) 267 | 268 | 269 | # In[26]: 270 | 271 | 272 | def predict_rumor_LSTM(text,label): 273 | print(text) 274 | text = re.sub("[\s+\.\!\/_,$%^*(+\"\']+|[+——！，。？、~@#￥%……&*（）]+", "",text) 275 | cut = seg.cut(text) 276 | 277 | cut_clean=[] 278 | for word in cut: 279 | if word in stopwords: 280 | continue 281 | cut_clean.append(word) 282 | 283 | for i, word in enumerate(cut_clean): 284 | try: 285 | cut_clean[i] = cn_model.vocab[word].index 286 | if cut_clean[i] >= 50000: 287 | cut_clean[i] = 0 288 | except KeyError: 289 | cut_clean[i] = 0 290 | 291 | tokens_pad = pad_sequences([cut_clean], maxlen=max_tokens, 292 | padding='pre', truncating='pre') 293 | 294 | dic={0:'谣言',1:'非谣言'} 295 | result = model.predict(x=tokens_pad) 296 | coef = result[0][0] 297 | if coef >= 0.5: 298 | print('真实是'+dic[label],'预测是非谣言','output=%.2f'%coef) 299 | else: 300 | print('真实是'+dic[label],'预测是谣言','output=%.2f'%coef) 301 | print('---------------------------------------------') 302 | 303 | 304 | # In[27]: 305 | 306 | 307 | test_list = [ 308 | '兴仁县今天抢小孩没抢走，把孩子母亲捅了一刀，看见这车的注意了，真事，车牌号辽HFM055！！！！！赶紧散播！ 都别带孩子出去瞎转悠了 尤其别让老人自己带孩子出去 太危险了 注意了！！！！辽HFM055北京现代朗动，在各学校门口抢小孩！！！110已经 证实！！全市通缉！！', 309 | '重庆真实新闻:2016年6月1日在重庆梁平县袁驿镇发生一起抢儿童事件，做案人三个中年男人，在三中学校到镇街上的一条小路上，把小孩直接弄晕(儿童是袁驿新幼儿园中班的一名学生)，正准备带走时被家长及时发现用棒子赶走了做案人，故此获救！请各位同胞们以此引起非常重视，希望大家有爱心的人传递下', 310 | '@尾熊C 要提前预习育儿知识的话，建议看一些小巫写的书，嘻嘻', 311 | ] 312 | test_label=[0,0,1] 313 | for i in range(len(test_list)): 314 | predict_rumor_LSTM(test_list[i],test_label[i]) 315 | 316 | --------------------------------------------------------------------------------