auto: sync OpenClaw config 2026-08-08 23:17

2026-08-08 23:17:00 +08:00
parent 22b1bbe584
commit dcf9fa4e59
23 changed files with 1061 additions and 3 deletions
@@ -0,0 +1,26 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""王芳2026H1 最终去重总账"""
+import pymysql, json
+cfg = json.load(open('db_config.json'))
+conn = pymysql.connect(host=cfg['host'], port=cfg['port'], user=cfg['user'],
+                       password=cfg.get('password'), database=cfg['database'], charset='utf8mb4')
+cur = conn.cursor()
+
+tags = "(note LIKE '%%[支付宝]%%' OR note LIKE '%%[邮储卡]%%' OR note LIKE '%%[微信]%%')"
+print("=== 支出分类结构（全渠道去重后） ===")
+cur.execute(f"""SELECT category, SUM(amount), COUNT(*) FROM variable_expenses
+                WHERE member_id=3 AND recorded_date BETWEEN '2026-01-01' AND '2026-06-30' AND {tags}
+                GROUP BY category ORDER BY SUM(amount) DESC""")
+rows = cur.fetchall()
+tot = sum(float(r[1]) for r in rows); nrec = sum(r[2] for r in rows)
+print(f"总支出: {nrec}笔 ¥{tot:,.2f}\n")
+for c, a, n in rows:
+    print(f"  {c:10s} ¥{float(a):>10,.2f}  {100*float(a)/tot:5.1f}%  ({n}笔)")
+
+print("\n=== 收入 ===")
+cur.execute(f"""SELECT '支付宝' src, COUNT(*), SUM(amount) FROM income_records WHERE member_id=3 AND note LIKE '%%[支付宝]%%' AND recorded_date BETWEEN '2026-01-01' AND '2026-06-30'
+                UNION ALL SELECT '微信', COUNT(*), SUM(amount) FROM income_records WHERE member_id=3 AND note LIKE '%%[微信]%%' AND recorded_date BETWEEN '2026-01-01' AND '2026-06-30'""")
+for s, n, a in cur.fetchall():
+    print(f"  {s}: {n}笔 ¥{float(a):,.2f}")
+conn.close()