Merge branch 'dhk-1' into 'master'
接口地址修改 See merge request knowledge-base-bj/deerflow-server!108
This commit is contained in:
董宏凯 committed
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@@ -1,6 +1,9 @@
|
||||
# 本地开发（pnpm dev）— 与原先 .env 保持一致
|
||||
# 个人覆盖请新建 .env.development.local（已 gitignore，优先级更高）
|
||||
|
||||
# 任务看板数据源：true=真实接口（默认）；改成 false 可让任务分析/三情分析两页走本地假数据。
|
||||
VITE_USE_REAL_DATA=true
|
||||
|
||||
# Gateway / DeerFlow API
|
||||
VITE_BACKEND_BASE_URL=http://127.0.0.1:8001
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VITE_LANGGRAPH_BASE_URL=http://127.0.0.1:8001/api
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|
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@@ -28,6 +28,12 @@
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# --- 生产打包（见 .env.production）---
|
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# 部署前修改 .env.production 中的地址，再执行 pnpm build
|
||||
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||||
# --- 任务看板（任务分析 / 三情分析）数据源开关 ---
|
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# true=走真实接口；false 或未设=这两页使用本地假数据（演示用，无需后端）。
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||||
# .env.development / .env.production / .env.network / .env.sit 均默认 true（真实数据），
|
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# 仅本机 .env 默认 false（假数据）。改后需重启 dev / 重新打包生效。
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# VITE_USE_REAL_DATA=true
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# MaxKey 鉴权根地址（无界 onlineTicket 换 token）
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# VITE_AUTH_BASE_URL=https://auth.y.sit.4.cn
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# VITE_AIPI_CONSUMER_URL=https://ch1.b.uat.4.cn/consumer
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@@ -1,6 +1,9 @@
|
||||
# 本地开发（pnpm dev）— 与原先 .env 保持一致
|
||||
# 个人覆盖请新建 .env.development.local（已 gitignore，优先级更高）
|
||||
|
||||
# 任务看板数据源：true=真实接口（默认）；改成 false 可让任务分析/三情分析两页走本地假数据。
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||||
VITE_USE_REAL_DATA=true
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# Gateway / DeerFlow API
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VITE_BACKEND_BASE_URL=http://47.88.25.99:7001
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VITE_LANGGRAPH_BASE_URL=http://47.88.25.99:7001/api
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@@ -1,6 +1,9 @@
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# 生产打包（pnpm build）— 部署前请改成实际内网/生产地址
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# 打包后变量会写入 dist，运行时不可再改
|
||||
|
||||
# 任务看板数据源：true=真实接口（默认）；改成 false 可让任务分析/三情分析两页走本地假数据。
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||||
VITE_USE_REAL_DATA=true
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# Gateway / DeerFlow API
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VITE_BACKEND_BASE_URL=https://ch1.b.uat.4.cn/deerflow
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VITE_LANGGRAPH_BASE_URL=https://ch1.b.uat.4.cn/deerflow/api
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|
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@@ -1,6 +1,9 @@
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# SIT 环境打包（pnpm build:sit / npm run build:sit）— 接口地址为 UAT 的 sit 版本
|
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# 打包后变量会写入 dist，运行时不可再改
|
||||
|
||||
# 任务看板数据源：true=真实接口（默认）；改成 false 可让任务分析/三情分析两页走本地假数据。
|
||||
VITE_USE_REAL_DATA=true
|
||||
|
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# Gateway / DeerFlow API
|
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VITE_BACKEND_BASE_URL=https://ch1.b.sit.4.cn/deerflow
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VITE_LANGGRAPH_BASE_URL=https://ch1.b.sit.4.cn/deerflow/api
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@@ -0,0 +1,443 @@
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import { TaskListItem } from './TaskManagement';
|
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|
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/**
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* 任务看板假数据 —— 给「任务分析」「三情分析」两个页面提供演示数据，
|
||||
* 用于没有后端 `/task/cop-tasks` / `/three/cop-three-tasks` 接口时本地预览。
|
||||
*
|
||||
* 是否启用由环境变量 `VITE_USE_REAL_DATA` 控制（见 `utils/request.ts`）：
|
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* - `VITE_USE_REAL_DATA=true` → 走真实接口（不挂本 mock）
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||||
* - 其它（含未设置） → 这两个接口走本地假数据
|
||||
* 提交的 .env.development / .env.production / .env.network / .env.sit 默认 true（真实），
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* 仅本机 .env 默认 false（假数据）。
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||||
*
|
||||
* 实现方式：作为一个临时 axios adapter 挂在请求拦截器上（命中两个 url 时直接返回 mock body，
|
||||
* 不发真实请求），业务组件 `SentimentAnalyzes.tsx` / `TaskAnalyzes.tsx` 一行不用改。
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||||
* 返回结构与真实接口一致：`{ code, message, data: { records, total } }`。
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||||
*/
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export type MockColumnType = 'unanalyzed' | 'running' | 'completed';
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export type MockDataset = 'task' | 'sentiment';
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interface MockTaskSeed {
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taskName: string;
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overview: string;
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taskDirection: string;
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taskLevel: number; // 1 一般 / 2 紧急 / 3 加急
|
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taskType: number; // 1 单任务 / 2 场景 / 3 会商 / 4 多智能体 / 5 检索
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}
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/** 列 → 状态码，与组件内 taskStatusMap 对齐。 */
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const COLUMN_STATUS: Record<MockColumnType, number> = {
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unanalyzed: 0,
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running: 20,
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completed: 30,
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};
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/** 生成一条完整的 TaskListItem，仅覆盖有意义的字段，其余给安全默认值。 */
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function makeTask(
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id: number,
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column: MockColumnType,
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seed: MockTaskSeed,
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createTime: string,
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updateTime: string,
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): TaskListItem {
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return {
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createBy: 1001,
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createTime,
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deptId: null,
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id,
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isTop: 0,
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issuingDept: '战略规划处',
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keywords: null,
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overview: seed.overview,
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planTaskTop: 0,
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platform: null,
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ptaskId: null,
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recommendedBasis: null,
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scene: '',
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sourceType: 1,
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step: null,
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taskContent: seed.overview,
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taskDirection: seed.taskDirection,
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taskEndDate: '2026-06-30 18:00:00',
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taskLevel: seed.taskLevel,
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taskName: seed.taskName,
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taskNo: `T-${String(id).padStart(6, '0')}`,
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taskStartDate: '2026-06-01 09:00:00',
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taskStatus: COLUMN_STATUS[column],
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taskSuperiorFlag: 0,
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taskType: seed.taskType,
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column,
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updateBy: 1001,
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updateTime,
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endCount: column === 'completed' ? 1 : 0,
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sumAll: 1,
|
||||
progress: column === 'completed' ? 100 : column === 'running' ? 60 : 0,
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taskStatusData: null,
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} as TaskListItem;
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||||
}
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||||
/** 「任务分析」页（业务码 6BF）数据种子。 */
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const TASK_SEEDS: Record<MockColumnType, MockTaskSeed[]> = {
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||||
unanalyzed: [
|
||||
{
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||||
taskName: '夏季文旅消费季传播任务分析',
|
||||
overview:
|
||||
'围绕"夏季文旅消费季"主题，梳理传播目标、核心受众与潜在策略阻力，输出可执行的任务拆解建议。',
|
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taskDirection: '王磊',
|
||||
taskLevel: 2,
|
||||
taskType: 1,
|
||||
},
|
||||
{
|
||||
taskName: '新能源补贴政策解读专题',
|
||||
overview:
|
||||
'针对新一轮新能源汽车补贴政策，分析公众关注焦点与误读风险点，形成政策解读传播要点清单。',
|
||||
taskDirection: '李婷',
|
||||
taskLevel: 1,
|
||||
taskType: 5,
|
||||
},
|
||||
{
|
||||
taskName: '城市更新片区舆论引导任务',
|
||||
overview:
|
||||
'对老城区改造涉及的拆迁、安置等敏感议题进行任务目标拆解，识别需要重点回应的群体诉求。',
|
||||
taskDirection: '张伟',
|
||||
taskLevel: 3,
|
||||
taskType: 2,
|
||||
},
|
||||
{
|
||||
taskName: '高校毕业季就业服务宣传',
|
||||
overview:
|
||||
'梳理面向应届毕业生的就业服务政策传播任务，明确分阶段触达节奏与渠道组合。',
|
||||
taskDirection: '赵敏',
|
||||
taskLevel: 1,
|
||||
taskType: 1,
|
||||
},
|
||||
{
|
||||
taskName: '防汛应急科普传播任务',
|
||||
overview:
|
||||
'汛期来临前，分析防汛减灾科普内容的传播目标与受众分层，制定预警信息发布预案。',
|
||||
taskDirection: '陈昊',
|
||||
taskLevel: 2,
|
||||
taskType: 1,
|
||||
},
|
||||
{
|
||||
taskName: '乡村振兴成果展示任务',
|
||||
overview:
|
||||
'围绕本地乡村振兴典型案例，拆解成果展示传播任务，确定故事化表达与素材采集方向。',
|
||||
taskDirection: '周琳',
|
||||
taskLevel: 1,
|
||||
taskType: 2,
|
||||
},
|
||||
],
|
||||
running: [
|
||||
{
|
||||
taskName: '社区养老服务满意度专题分析',
|
||||
overview:
|
||||
'正在对社区居家养老服务的群众反馈进行任务分析，重点判断受众诉求与服务短板。',
|
||||
taskDirection: '孙强',
|
||||
taskLevel: 2,
|
||||
taskType: 4,
|
||||
},
|
||||
{
|
||||
taskName: '中小企业纾困政策落地评估',
|
||||
overview:
|
||||
'多智能体协同分析纾困政策落地过程中的执行阻力与企业关切，形成阶段性研判。',
|
||||
taskDirection: '吴静',
|
||||
taskLevel: 3,
|
||||
taskType: 4,
|
||||
},
|
||||
{
|
||||
taskName: '城市轨道交通延误舆情研判',
|
||||
overview:
|
||||
'针对近期地铁延误事件，正在拆解舆论传播路径与关键节点，评估引导策略有效性。',
|
||||
taskDirection: '郑凯',
|
||||
taskLevel: 2,
|
||||
taskType: 3,
|
||||
},
|
||||
{
|
||||
taskName: '食品安全抽检结果发布任务',
|
||||
overview:
|
||||
'正在分析食品安全抽检通报的发布口径与受众反应，优化信息透明度与安抚策略。',
|
||||
taskDirection: '冯雪',
|
||||
taskLevel: 1,
|
||||
taskType: 1,
|
||||
},
|
||||
],
|
||||
completed: [
|
||||
{
|
||||
taskName: '春节文化活动传播复盘',
|
||||
overview:
|
||||
'已完成春节系列文化活动的传播任务分析，沉淀受众画像与高互动内容规律。',
|
||||
taskDirection: '黄涛',
|
||||
taskLevel: 1,
|
||||
taskType: 3,
|
||||
},
|
||||
{
|
||||
taskName: '医保改革政策宣传任务',
|
||||
overview:
|
||||
'已完成医保改革政策的传播目标拆解与受众分层，输出分群体沟通话术。',
|
||||
taskDirection: '宋佳',
|
||||
taskLevel: 2,
|
||||
taskType: 4,
|
||||
},
|
||||
{
|
||||
taskName: '城市营商环境优化宣传',
|
||||
overview:
|
||||
'已完成营商环境优化举措的任务分析，明确企业端与公众端的差异化传播重点。',
|
||||
taskDirection: '高鹏',
|
||||
taskLevel: 1,
|
||||
taskType: 2,
|
||||
},
|
||||
{
|
||||
taskName: '老旧小区加装电梯议题分析',
|
||||
overview:
|
||||
'已完成加装电梯涉及的邻里诉求与阻力识别，形成多方协商沟通建议。',
|
||||
taskDirection: '何丽',
|
||||
taskLevel: 2,
|
||||
taskType: 3,
|
||||
},
|
||||
{
|
||||
taskName: '生态环保主题宣传周复盘',
|
||||
overview:
|
||||
'已完成环保宣传周的传播效果分析，总结渠道贡献度与可复用素材。',
|
||||
taskDirection: '罗勇',
|
||||
taskLevel: 1,
|
||||
taskType: 1,
|
||||
},
|
||||
{
|
||||
taskName: '青年人才引进政策解读',
|
||||
overview:
|
||||
'已完成人才引进政策的受众判断与策略阻力分析，输出落地传播节奏表。',
|
||||
taskDirection: '谭芳',
|
||||
taskLevel: 1,
|
||||
taskType: 5,
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
/** 「三情分析」页（业务码 3Q）数据种子。 */
|
||||
const SENTIMENT_SEEDS: Record<MockColumnType, MockTaskSeed[]> = {
|
||||
unanalyzed: [
|
||||
{
|
||||
taskName: '暑期旅游热点情绪监测',
|
||||
overview:
|
||||
'对暑期热门景区相关讨论进行情绪与倾向分析，识别游客吐槽集中点与正向口碑话题。',
|
||||
taskDirection: '王磊',
|
||||
taskLevel: 2,
|
||||
taskType: 1,
|
||||
},
|
||||
{
|
||||
taskName: '电价调整公众情绪研判',
|
||||
overview:
|
||||
'围绕居民阶梯电价调整，分析公众情绪走向与主要担忧，判断需要重点疏导的群体。',
|
||||
taskDirection: '李婷',
|
||||
taskLevel: 3,
|
||||
taskType: 5,
|
||||
},
|
||||
{
|
||||
taskName: '校园周边交通安全舆情',
|
||||
overview:
|
||||
'对校园周边交通安全话题进行三情分析，梳理家长群体情绪与诉求强度。',
|
||||
taskDirection: '张伟',
|
||||
taskLevel: 2,
|
||||
taskType: 1,
|
||||
},
|
||||
{
|
||||
taskName: '景区门票预约制讨论分析',
|
||||
overview:
|
||||
'分析门票预约制相关讨论的情绪分布，识别便利性与公平性两类核心关切。',
|
||||
taskDirection: '赵敏',
|
||||
taskLevel: 1,
|
||||
taskType: 2,
|
||||
},
|
||||
{
|
||||
taskName: '夜间经济噪音投诉情绪',
|
||||
overview:
|
||||
'对夜市、夜间演出引发的噪音投诉进行情绪分析，区分居民与商户的不同立场。',
|
||||
taskDirection: '陈昊',
|
||||
taskLevel: 1,
|
||||
taskType: 1,
|
||||
},
|
||||
],
|
||||
running: [
|
||||
{
|
||||
taskName: '台风预警信息传播情绪追踪',
|
||||
overview:
|
||||
'正在分析台风预警发布后的公众情绪变化，评估恐慌情绪与配合度的动态走势。',
|
||||
taskDirection: '孙强',
|
||||
taskLevel: 3,
|
||||
taskType: 4,
|
||||
},
|
||||
{
|
||||
taskName: '学区划分调整舆论情绪',
|
||||
overview:
|
||||
'多智能体协同追踪学区调整话题的情绪热度与对立观点，研判潜在升级风险。',
|
||||
taskDirection: '吴静',
|
||||
taskLevel: 2,
|
||||
taskType: 4,
|
||||
},
|
||||
{
|
||||
taskName: '网络热点事件情绪态势',
|
||||
overview:
|
||||
'正在对近期网络热点事件进行三情分析，识别情绪峰值节点与关键意见领袖。',
|
||||
taskDirection: '郑凯',
|
||||
taskLevel: 2,
|
||||
taskType: 3,
|
||||
},
|
||||
],
|
||||
completed: [
|
||||
{
|
||||
taskName: '春运出行体验情绪复盘',
|
||||
overview:
|
||||
'已完成春运期间出行体验的情绪与倾向分析，沉淀满意度变化与高频抱怨主题。',
|
||||
taskDirection: '黄涛',
|
||||
taskLevel: 1,
|
||||
taskType: 3,
|
||||
},
|
||||
{
|
||||
taskName: '惠民政策落地情绪评估',
|
||||
overview:
|
||||
'已完成惠民政策落地后的公众情绪评估，输出正向反馈与改进诉求清单。',
|
||||
taskDirection: '宋佳',
|
||||
taskLevel: 2,
|
||||
taskType: 4,
|
||||
},
|
||||
{
|
||||
taskName: '城市内涝应对情绪分析',
|
||||
overview:
|
||||
'已完成强降雨内涝事件的三情分析，总结情绪演化曲线与有效安抚措施。',
|
||||
taskDirection: '高鹏',
|
||||
taskLevel: 2,
|
||||
taskType: 1,
|
||||
},
|
||||
{
|
||||
taskName: '景区限流措施满意度分析',
|
||||
overview:
|
||||
'已完成节假日景区限流措施的情绪分析，明确游客接受度与体验改进方向。',
|
||||
taskDirection: '何丽',
|
||||
taskLevel: 1,
|
||||
taskType: 2,
|
||||
},
|
||||
{
|
||||
taskName: '公共交通票价听证情绪',
|
||||
overview:
|
||||
'已完成票价听证会相关讨论的情绪与立场分析，输出分群体沟通建议。',
|
||||
taskDirection: '罗勇',
|
||||
taskLevel: 1,
|
||||
taskType: 5,
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
const SEEDS: Record<MockDataset, Record<MockColumnType, MockTaskSeed[]>> = {
|
||||
task: TASK_SEEDS,
|
||||
sentiment: SENTIMENT_SEEDS,
|
||||
};
|
||||
|
||||
/** 给同一列里的卡片生成错落有致的时间，便于「按时间倒序」展示。 */
|
||||
function buildTimes(index: number): { createTime: string; updateTime: string } {
|
||||
const day = String(28 - index).padStart(2, '0');
|
||||
const hour = String(9 + (index % 8)).padStart(2, '0');
|
||||
return {
|
||||
createTime: `2026-05-${day} ${hour}:15:00`,
|
||||
updateTime: `2026-06-0${(index % 9) + 1} ${hour}:40:00`,
|
||||
};
|
||||
}
|
||||
|
||||
/** 数据集 → 列 → 完整任务列表（按 id 区分，避免两页 key 冲突）。 */
|
||||
function buildPool(dataset: MockDataset, column: MockColumnType): TaskListItem[] {
|
||||
const base = dataset === 'task' ? 10000 : 20000;
|
||||
const columnOffset = column === 'unanalyzed' ? 0 : column === 'running' ? 300 : 600;
|
||||
return SEEDS[dataset][column].map((seed, index) => {
|
||||
const { createTime, updateTime } = buildTimes(index);
|
||||
return makeTask(base + columnOffset + index, column, seed, createTime, updateTime);
|
||||
});
|
||||
}
|
||||
|
||||
interface MockCopTasksPayload {
|
||||
content?: string;
|
||||
pageNum?: number;
|
||||
pageSize?: number;
|
||||
taskStatus?: number[];
|
||||
}
|
||||
|
||||
/** 根据请求里的 taskStatus 数组反推当前查询的是哪一列。 */
|
||||
function resolveColumn(taskStatus?: number[]): MockColumnType {
|
||||
const list = Array.isArray(taskStatus) ? taskStatus : [];
|
||||
if (list.includes(20)) return 'running';
|
||||
if (list.includes(0) || list.includes(10)) return 'unanalyzed';
|
||||
return 'completed';
|
||||
}
|
||||
|
||||
/**
|
||||
* 模拟 `/task/cop-tasks` / `/three/cop-three-tasks` 接口的 body：
|
||||
* 按列返回分页后的假数据，支持按 `content` 对任务名/摘要做模糊过滤。
|
||||
*/
|
||||
function buildCopTasksBody(dataset: MockDataset, payload: MockCopTasksPayload) {
|
||||
const { content = '', pageNum = 1, pageSize = 10, taskStatus } = payload;
|
||||
const column = resolveColumn(taskStatus);
|
||||
|
||||
let pool = buildPool(dataset, column);
|
||||
const keyword = content.trim();
|
||||
if (keyword) {
|
||||
pool = pool.filter(
|
||||
(item) =>
|
||||
item.taskName.includes(keyword) || item.overview.includes(keyword),
|
||||
);
|
||||
}
|
||||
|
||||
const total = pool.length;
|
||||
const start = (pageNum - 1) * pageSize;
|
||||
const records = pool.slice(start, start + pageSize);
|
||||
|
||||
return { code: 0, message: 'ok', data: { records, total } };
|
||||
}
|
||||
|
||||
/** 命中本 mock 的接口路径 → 对应数据集。 */
|
||||
const MOCK_ROUTES: Array<{ match: string; dataset: MockDataset }> = [
|
||||
{ match: '/three/cop-three-tasks', dataset: 'sentiment' },
|
||||
{ match: '/task/cop-tasks', dataset: 'task' },
|
||||
];
|
||||
|
||||
/** 判断某个请求 url 是否应走假数据。 */
|
||||
export function matchTaskBoardMock(url?: string): MockDataset | null {
|
||||
if (!url) return null;
|
||||
const hit = MOCK_ROUTES.find((route) => url.includes(route.match));
|
||||
return hit ? hit.dataset : null;
|
||||
}
|
||||
|
||||
/**
|
||||
* 临时假数据 axios adapter：命中任务看板接口时直接返回 mock body，不发真实请求。
|
||||
* 仅在 `VITE_USE_REAL_DATA !== 'true'` 时由 request.ts 挂上（见那里的请求拦截器）。
|
||||
*/
|
||||
export function taskBoardMockAdapter(config: {
|
||||
url?: string;
|
||||
data?: unknown;
|
||||
}): Promise<{ data: unknown; status: number; statusText: string; headers: Record<string, unknown>; config: unknown }> {
|
||||
const dataset = matchTaskBoardMock(config.url) ?? 'task';
|
||||
|
||||
let payload: MockCopTasksPayload = {};
|
||||
try {
|
||||
payload =
|
||||
typeof config.data === 'string'
|
||||
? JSON.parse(config.data)
|
||||
: ((config.data as MockCopTasksPayload) ?? {});
|
||||
} catch {
|
||||
payload = {};
|
||||
}
|
||||
|
||||
const body = buildCopTasksBody(dataset, payload);
|
||||
|
||||
return new Promise((resolve) => {
|
||||
// 模拟网络延迟，让 Loading 态可见。
|
||||
setTimeout(() => {
|
||||
resolve({
|
||||
data: body,
|
||||
status: 200,
|
||||
statusText: 'OK',
|
||||
headers: {},
|
||||
config,
|
||||
});
|
||||
}, 280);
|
||||
});
|
||||
}
|
||||
@@ -1,4 +1,12 @@
|
||||
import axios from 'axios'
|
||||
import { matchTaskBoardMock, taskBoardMockAdapter } from '@/strategy-components/components/task-components/task-mock-data'
|
||||
|
||||
// 任务看板（任务分析 / 三情分析）数据源开关：
|
||||
// VITE_USE_REAL_DATA=true → 走真实接口；其它（含未设置）→ 这两个接口走本地假数据。
|
||||
// 提交的 .env.development/.env.production/.env.network/.env.sit 默认 true（真实数据），
|
||||
// 仅本机 .env 默认 false（假数据）。改 env 后需重启 dev server 生效。
|
||||
const USE_REAL_DATA = import.meta.env.VITE_USE_REAL_DATA === 'true'
|
||||
|
||||
// axios.interceptors
|
||||
const service = axios.create({
|
||||
// baseURL: '', // url = base url + request url
|
||||
@@ -31,6 +39,10 @@ service.interceptors.response.use(
|
||||
)
|
||||
service.interceptors.request.use(
|
||||
config => {
|
||||
// 假数据模式：任务看板两个接口直接走本地 mock，不发真实请求（VITE_USE_REAL_DATA=true 时跳过）。
|
||||
if (!USE_REAL_DATA && matchTaskBoardMock(config.url)) {
|
||||
config.adapter = taskBoardMockAdapter as any;
|
||||
}
|
||||
// let token: any = localStorage.getItem('token');
|
||||
config.headers['Authorization'] = `Bearer admin`;
|
||||
// if (token) {
|
||||
|
||||
Reference in new issue
Block a user