#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""王芳2026H1 全渠道(支付宝+邮储卡+微信)去重后总览"""
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()

print("=== 按渠道支出(2026 H1) ===")
chan = {'[支付宝]': '支付宝', '[邮储卡]': '邮储卡外部', '[微信]': '微信(去重后)'}
for tag, name in chan.items():
    cur.execute(f"""SELECT COUNT(*), SUM(amount) FROM variable_expenses
                    WHERE member_id=3 AND recorded_date BETWEEN '2026-01-01' AND '2026-06-30'
                    AND note LIKE '%{tag}%'""")
    n, a = cur.fetchone()
    print(f"  {name:14s} {n}笔 ¥{float(a):>10.2f}")

print("\n=== 汇总(全渠道去重) ===")
cur.execute("""SELECT COUNT(*), SUM(amount) FROM variable_expenses
               WHERE member_id=3 AND recorded_date BETWEEN '2026-01-01' AND '2026-06-30'
               AND (note LIKE '%[支付宝]%' OR note LIKE '%[邮储卡]%' OR note LIKE '%[微信]%')""")
n, a = cur.fetchone()
print(f"  支出合计: {n}笔 ¥{float(a):.2f}")

print("\n=== 支出分类结构 ===")
cur.execute("""SELECT category, SUM(amount), COUNT(*) FROM variable_expenses
               WHERE member_id=3 AND recorded_date BETWEEN '2026-01-01' AND '2026-06-30'
               AND (note LIKE '%[支付宝]%' OR note LIKE '%[邮储卡]%' OR note LIKE '%[微信]%')
               GROUP BY category ORDER BY SUM(amount) DESC""")
tot = 0
rows = cur.fetchall()
tot = sum(float(r[1]) for r in rows)
for c, a, n in rows:
    print(f"  {c:10s} ¥{float(a):>10.2f}  {100*float(a)/tot:5.1f}%  ({n}笔)")
print(f"  总计: ¥{tot:.2f}")

print("\n=== 收入 ===")
cur.execute("""SELECT COUNT(*), SUM(amount) FROM income_records
               WHERE member_id=3 AND recorded_date BETWEEN '2026-01-01' AND '2026-06-30'
               AND note LIKE '%[微信]%'""")
n, a = cur.fetchone()
print(f"  微信收入: {n}笔 ¥{float(a):.2f}")
conn.close()