Files
VolunteerManage-for-byw/server/src/routes/export.ts
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feat: 部员多工作组归属 + 批量添加功能
- 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
2026-10-05 08:08:15 +08:00

146 lines
5.2 KiB
TypeScript

import { Router } from 'express';
import { getDb } from '../db';
import { authMiddleware, AuthRequest } from '../middleware/auth';
const router = Router();
function withGroupNames(rows: any[]): any[] {
return rows.map((r) => {
const names: string[] = [];
if (r._group_names_csv) {
for (const s of String(r._group_names_csv).split(',')) {
if (s && s.trim()) names.push(s.trim());
}
}
return { ...r, group_name: names.join('、') || null };
});
}
router.post('/', authMiddleware, (req: AuthRequest, res) => {
const { include_users, include_activities, include_hours, include_user_totals, include_user_activities, include_activity_matrix } = req.body || {};
const db = getDb();
const result: any = {};
if (include_users) {
const rows = db.prepareCompat(`
SELECT u.id, u.class, u.name, u.volunteer_no,
GROUP_CONCAT(g.name) AS _group_names_csv
FROM users u
LEFT JOIN user_groups ug ON u.id = ug.user_id
LEFT JOIN work_groups g ON ug.group_id = g.id
GROUP BY u.id
ORDER BY u.class, u.name
`).all();
result.users = withGroupNames(rows).map(({ _group_names_csv: _, ...rest }) => rest);
}
if (include_activities) {
result.activities = db.prepareCompat(`
SELECT a.*, GROUP_CONCAT(g.name) AS groups_name
FROM activities a
LEFT JOIN activity_groups ag ON a.id = ag.activity_id
LEFT JOIN work_groups g ON ag.group_id = g.id
GROUP BY a.id
ORDER BY a.start_time DESC
`).all();
}
if (include_hours) {
const rows = db.prepareCompat(`
SELECT h.hours, h.remark, h.created_at,
a.title AS activity_title, a.start_time, a.end_time,
u.class, u.name, u.volunteer_no,
(SELECT GROUP_CONCAT(g2.name)
FROM user_groups ug2
LEFT JOIN work_groups g2 ON ug2.group_id = g2.id
WHERE ug2.user_id = u.id) AS _group_names_csv
FROM hours h
JOIN activities a ON h.activity_id = a.id
JOIN users u ON h.user_id = u.id
ORDER BY a.start_time DESC, u.class, u.name
`).all();
result.hours = withGroupNames(rows).map(({ _group_names_csv: _, ...rest }) => rest);
}
if (include_user_totals) {
const rows = db.prepareCompat(`
SELECT u.id, u.class, u.name, u.volunteer_no,
(SELECT GROUP_CONCAT(g2.name)
FROM user_groups ug2
LEFT JOIN work_groups g2 ON ug2.group_id = g2.id
WHERE ug2.user_id = u.id) AS _group_names_csv,
COALESCE(SUM(h.hours), 0) AS total_hours,
COUNT(DISTINCT h.activity_id) AS activity_count
FROM users u
LEFT JOIN hours h ON h.user_id = u.id
GROUP BY u.id
ORDER BY total_hours DESC, u.class, u.name
`).all();
result.user_totals = withGroupNames(rows).map(({ _group_names_csv: _, ...rest }) => rest);
}
if (include_user_activities) {
const userRows = db.prepareCompat(`
SELECT u.id, u.class, u.name, u.volunteer_no,
(SELECT GROUP_CONCAT(g2.name)
FROM user_groups ug2
LEFT JOIN work_groups g2 ON ug2.group_id = g2.id
WHERE ug2.user_id = u.id) AS _group_names_csv
FROM users u
GROUP BY u.id
ORDER BY u.class, u.name
`).all() as any[];
const users = withGroupNames(userRows).map(({ _group_names_csv: _, ...rest }) => rest);
result.user_activities = users.map((u) => {
const acts = db.prepareCompat(`
SELECT a.title, a.start_time, a.end_time, h.hours, h.remark
FROM hours h JOIN activities a ON h.activity_id = a.id
WHERE h.user_id = ? ORDER BY a.start_time DESC
`).all(u.id);
return { ...u, activities: acts };
});
}
if (include_activity_matrix) {
const activities = db.prepareCompat(`
SELECT id, title, start_time FROM activities ORDER BY start_time DESC, id DESC
`).all() as any[];
const userRows = db.prepareCompat(`
SELECT u.id, u.class, u.name, u.volunteer_no,
(SELECT GROUP_CONCAT(g2.name)
FROM user_groups ug2
LEFT JOIN work_groups g2 ON ug2.group_id = g2.id
WHERE ug2.user_id = u.id) AS _group_names_csv
FROM users u
GROUP BY u.id
ORDER BY u.class, u.name
`).all() as any[];
const users = withGroupNames(userRows);
const hoursRows = db.prepareCompat(`
SELECT user_id, activity_id, hours FROM hours
`).all() as any[];
const matrix: Record<string, number> = {};
for (const r of hoursRows) {
const key = `${r.user_id}|${r.activity_id}`;
matrix[key] = (matrix[key] || 0) + Number(r.hours || 0);
}
result.activity_matrix = {
activities,
users: users.map((u) => {
const row: Record<string, any> = {
id: u.id,
class: u.class,
name: u.name,
volunteer_no: u.volunteer_no,
group_name: u.group_name,
};
for (const a of activities) {
row[String(a.id)] = Number((matrix[`${u.id}|${a.id}`] || 0).toFixed(2));
}
row._total = Number(
activities.reduce((s: number, a: any) => s + (Number(row[String(a.id)]) || 0), 0).toFixed(2)
);
return row;
}),
};
}
res.json(result);
});
export default router;