Deploy to Server / deploy (push) Successful in 1m59s
- 数据库:新增 user_groups 多对多关联表,启动时自动迁移旧 group_id 数据 - 后端 users:所有查询聚合多工作组信息,增删改接口支持 group_ids 数组;新增 POST /users/batch 批量添加接口(事务+逐行错误反馈) - 后端 export/hours/activities:全面兼容多工作组关联查询 - 前端 Users:新增/编辑改为工作组多选复选框;新增批量添加模态框(粘贴解析+实时校验表+提交汇总) - 前端列表/详情:工作组以多标签形式展示,搜索支持工作组名称
146 lines
5.2 KiB
TypeScript
146 lines
5.2 KiB
TypeScript
import { Router } from 'express';
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import { getDb } from '../db';
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import { authMiddleware, AuthRequest } from '../middleware/auth';
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const router = Router();
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function withGroupNames(rows: any[]): any[] {
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return rows.map((r) => {
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const names: string[] = [];
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if (r._group_names_csv) {
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for (const s of String(r._group_names_csv).split(',')) {
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if (s && s.trim()) names.push(s.trim());
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}
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}
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return { ...r, group_name: names.join('、') || null };
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});
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}
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router.post('/', authMiddleware, (req: AuthRequest, res) => {
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const { include_users, include_activities, include_hours, include_user_totals, include_user_activities, include_activity_matrix } = req.body || {};
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const db = getDb();
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const result: any = {};
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if (include_users) {
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const rows = db.prepareCompat(`
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SELECT u.id, u.class, u.name, u.volunteer_no,
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GROUP_CONCAT(g.name) AS _group_names_csv
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FROM users u
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LEFT JOIN user_groups ug ON u.id = ug.user_id
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LEFT JOIN work_groups g ON ug.group_id = g.id
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GROUP BY u.id
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ORDER BY u.class, u.name
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`).all();
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result.users = withGroupNames(rows).map(({ _group_names_csv: _, ...rest }) => rest);
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}
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if (include_activities) {
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result.activities = db.prepareCompat(`
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SELECT a.*, GROUP_CONCAT(g.name) AS groups_name
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FROM activities a
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LEFT JOIN activity_groups ag ON a.id = ag.activity_id
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LEFT JOIN work_groups g ON ag.group_id = g.id
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GROUP BY a.id
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ORDER BY a.start_time DESC
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`).all();
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}
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if (include_hours) {
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const rows = db.prepareCompat(`
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SELECT h.hours, h.remark, h.created_at,
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a.title AS activity_title, a.start_time, a.end_time,
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u.class, u.name, u.volunteer_no,
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(SELECT GROUP_CONCAT(g2.name)
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FROM user_groups ug2
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LEFT JOIN work_groups g2 ON ug2.group_id = g2.id
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WHERE ug2.user_id = u.id) AS _group_names_csv
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FROM hours h
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JOIN activities a ON h.activity_id = a.id
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JOIN users u ON h.user_id = u.id
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ORDER BY a.start_time DESC, u.class, u.name
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`).all();
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result.hours = withGroupNames(rows).map(({ _group_names_csv: _, ...rest }) => rest);
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}
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if (include_user_totals) {
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const rows = db.prepareCompat(`
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SELECT u.id, u.class, u.name, u.volunteer_no,
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(SELECT GROUP_CONCAT(g2.name)
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FROM user_groups ug2
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LEFT JOIN work_groups g2 ON ug2.group_id = g2.id
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WHERE ug2.user_id = u.id) AS _group_names_csv,
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COALESCE(SUM(h.hours), 0) AS total_hours,
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COUNT(DISTINCT h.activity_id) AS activity_count
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FROM users u
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LEFT JOIN hours h ON h.user_id = u.id
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GROUP BY u.id
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ORDER BY total_hours DESC, u.class, u.name
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`).all();
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result.user_totals = withGroupNames(rows).map(({ _group_names_csv: _, ...rest }) => rest);
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}
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if (include_user_activities) {
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const userRows = db.prepareCompat(`
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SELECT u.id, u.class, u.name, u.volunteer_no,
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(SELECT GROUP_CONCAT(g2.name)
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FROM user_groups ug2
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LEFT JOIN work_groups g2 ON ug2.group_id = g2.id
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WHERE ug2.user_id = u.id) AS _group_names_csv
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FROM users u
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GROUP BY u.id
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ORDER BY u.class, u.name
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`).all() as any[];
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const users = withGroupNames(userRows).map(({ _group_names_csv: _, ...rest }) => rest);
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result.user_activities = users.map((u) => {
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const acts = db.prepareCompat(`
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SELECT a.title, a.start_time, a.end_time, h.hours, h.remark
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FROM hours h JOIN activities a ON h.activity_id = a.id
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WHERE h.user_id = ? ORDER BY a.start_time DESC
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`).all(u.id);
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return { ...u, activities: acts };
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});
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}
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if (include_activity_matrix) {
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const activities = db.prepareCompat(`
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SELECT id, title, start_time FROM activities ORDER BY start_time DESC, id DESC
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`).all() as any[];
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const userRows = db.prepareCompat(`
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SELECT u.id, u.class, u.name, u.volunteer_no,
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(SELECT GROUP_CONCAT(g2.name)
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FROM user_groups ug2
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LEFT JOIN work_groups g2 ON ug2.group_id = g2.id
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WHERE ug2.user_id = u.id) AS _group_names_csv
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FROM users u
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GROUP BY u.id
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ORDER BY u.class, u.name
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`).all() as any[];
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const users = withGroupNames(userRows);
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const hoursRows = db.prepareCompat(`
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SELECT user_id, activity_id, hours FROM hours
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`).all() as any[];
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const matrix: Record<string, number> = {};
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for (const r of hoursRows) {
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const key = `${r.user_id}|${r.activity_id}`;
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matrix[key] = (matrix[key] || 0) + Number(r.hours || 0);
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}
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result.activity_matrix = {
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activities,
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users: users.map((u) => {
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const row: Record<string, any> = {
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id: u.id,
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class: u.class,
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name: u.name,
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volunteer_no: u.volunteer_no,
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group_name: u.group_name,
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};
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for (const a of activities) {
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row[String(a.id)] = Number((matrix[`${u.id}|${a.id}`] || 0).toFixed(2));
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}
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row._total = Number(
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activities.reduce((s: number, a: any) => s + (Number(row[String(a.id)]) || 0), 0).toFixed(2)
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);
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return row;
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}),
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};
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}
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res.json(result);
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});
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export default router;
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