Files
AIclinicalresearch/frontend-v2/src/modules/dc/hooks/useRecentTasks.ts
HaHafeng dac3cecf78 feat(iit): Complete IIT Manager Agent Day 1 - Environment initialization and WeChat integration
Summary:
- Complete IIT Manager Agent MVP Day 1 (12.5% progress)
- Database: Create iit_schema with 5 tables (IitProject, IitPendingAction, IitTaskRun, IitUserMapping, IitAuditLog)
- Backend: Add module structure (577 lines) and types (223 lines)
- WeChat: Configure Enterprise WeChat app (CorpID, AgentID, Secret)
- WeChat: Obtain web authorization and JS-SDK authorization
- WeChat: Configure trusted domain (iit.xunzhengyixue.com)
- Frontend: Deploy v1.2 with WeChat domain verification file
- Frontend: Fix CRLF issue in docker-entrypoint.sh (CRLF -> LF)
- Testing: 11/11 database CRUD tests passed
- Testing: Access Token retrieval test passed
- Docs: Create module status and development guide
- Docs: Update MVP task list with Day 1 completion
- Docs: Rename deployment doc to SAE real-time status record
- Deployment: Update frontend internal IP to 172.17.173.80

Technical Details:
- Prisma: Multi-schema support (iit_schema)
- pg-boss: Job queue integration prepared
- Taro 4.x: Framework selected for WeChat Mini Program
- Shadow State: Architecture foundation laid
- Docker: Fix entrypoint script line endings for Linux container

Status: Day 1/14 complete, ready for Day 2 REDCap integration
2026-01-01 14:32:58 +08:00

132 lines
2.1 KiB
TypeScript
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/**
* DC模块 - 最近任务Hook
*
* 管理最近任务列表的状态和数据获取
*/
import { useState, useEffect } from 'react';
import type { Task } from '../types/portal';
// Mock数据
const mockTasks: Task[] = [
{
id: 'task-001',
name: '2025糖尿病研究数据提取',
tool: 'tool-b',
toolName: 'AI结构化',
status: 'completed',
progress: 100,
createdAt: '2025-12-01T10:30:00Z',
completedAt: '2025-12-01T11:45:00Z'
},
{
id: 'task-002',
name: '高血压病历结构化处理',
tool: 'tool-b',
toolName: 'AI结构化',
status: 'processing',
progress: 65,
createdAt: '2025-12-02T09:15:00Z'
},
{
id: 'task-003',
name: '多中心数据合并任务',
tool: 'tool-a',
toolName: '超级合并器',
status: 'pending',
progress: 0,
createdAt: '2025-12-02T13:20:00Z'
}
];
export const useRecentTasks = () => {
const [tasks, setTasks] = useState<Task[]>([]);
const [loading, setLoading] = useState(true);
const [error, setError] = useState<string | null>(null);
// 获取任务列表
const fetchTasks = async () => {
try {
setLoading(true);
// TODO: 替换为真实API调用
// const response = await fetch('/api/v1/dc/tasks/recent');
// const data = await response.json();
// 模拟API延迟
await new Promise(resolve => setTimeout(resolve, 500));
setTasks(mockTasks);
setError(null);
} catch (err) {
setError(err instanceof Error ? err.message : '获取任务列表失败');
} finally {
setLoading(false);
}
};
// 轮询更新processing状态的任务每5秒更新一次
useEffect(() => {
fetchTasks();
const hasProcessingTasks = tasks.some(t => t.status === 'processing');
if (hasProcessingTasks) {
const interval = setInterval(() => {
fetchTasks();
}, 5000); // 5秒轮询
return () => clearInterval(interval);
}
}, []);
// 刷新任务列表
const refresh = () => {
fetchTasks();
};
return {
tasks,
loading,
error,
refresh
};
};