#!/usr/bin/env python3 """ 图表 v2：L1付费用户 = 仅L1 + L1+L2，L2付费用户 = 仅L2 + L1+L2 """ import psycopg2 from collections import defaultdict from datetime import datetime, timedelta, date import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import matplotlib.dates as mdates import matplotlib.font_manager as fm import numpy as np fm.fontManager.addfont('/usr/share/fonts/opentype/noto/NotoSansCJK-Regular.ttc') plt.rcParams['font.family'] = fm.FontProperties(fname='/usr/share/fonts/opentype/noto/NotoSansCJK-Regular.ttc').get_name() plt.rcParams['axes.unicode_minus'] = False conn = psycopg2.connect( host="bj-postgres-16pob4sg.sql.tencentcdb.com", port=28591, user="ai_member", password="LdfjdjL83h3h3^$&**YGG*", dbname="vala_bi" ) cur = conn.cursor() u0_chapters = {55, 56, 57, 58, 59, 343, 344, 345, 346, 348} overall_start = date(2025, 9, 1) overall_end = date(2026, 5, 11) weeks = [] d = overall_start while d < overall_end: ws = d we = d + timedelta(days=6 - d.weekday()) if we >= overall_end: we = overall_end - timedelta(days=1) weeks.append((ws, we)) d = we + timedelta(days=1) print("分类付费用户...") cur.execute(""" SELECT o.account_id, o.trade_no, o.order_status, o.pay_success_date, CASE WHEN o.goods_id IN (57, 60, 63) THEN 'L1' WHEN o.goods_id = 61 THEN 'L1+L2' WHEN o.goods_id IN (31, 32, 33, 54) THEN 'L2' ELSE '其他' END as level_type FROM bi_vala_order o INNER JOIN bi_vala_app_account a ON o.account_id = a.id WHERE a.status = 1 AND a.deleted_at IS NULL AND o.pay_success_date IS NOT NULL """) orders = cur.fetchall() cur.execute("SELECT trade_no FROM bi_refund_order WHERE status = 3") refund_trades = set(r[0] for r in cur.fetchall()) user_levels = defaultdict(set) user_orders = defaultdict(list) for aid, trade_no, order_status, pay_date, lt in orders: is_refunded = (order_status == 4 and trade_no in refund_trades) user_levels[aid].add(lt) user_orders[aid].append((pay_date.date(), is_refunded)) def is_paid(aid, as_of): return sum(1 for pd, ref in user_orders[aid] if pd <= as_of and not ref) > 0 # 分组：L1群 = 仅L1 + L1+L2；L2群 = 仅L2 + L1+L2 l1_group = set() # 买了L1的所有用户 l2_group = set() # 买了L2的所有用户 for aid, levels in user_levels.items(): has_l1 = 'L1' in levels or 'L1+L2' in levels has_l2 = 'L2' in levels or 'L1+L2' in levels if has_l1: l1_group.add(aid) if has_l2: l2_group.add(aid) print(f"L1付费群: {len(l1_group)}人, L2付费群: {len(l2_group)}人, 重叠(L1+L2): {len(l1_group & l2_group)}人") print("查询课消...") cons_map = {} for ti in range(8): tbl = f"bi_user_chapter_play_record_{ti}" cur.execute(f"""SELECT user_id, chapter_id, updated_at FROM {tbl} WHERE play_status = 1 AND updated_at >= '2025-09-01' AND updated_at < '2026-05-11'""") for uid, cid, ua in cur.fetchall(): if cid in u0_chapters: continue key = (uid, cid) d = ua.date() if hasattr(ua, 'date') else datetime.strptime(str(ua)[:10], '%Y-%m-%d').date() if key not in cons_map or d < cons_map[key]: cons_map[key] = d print("角色映射...") all_uids = list(set(k[0] for k in cons_map)) char2acct = {} for i in range(0, len(all_uids), 500): batch = all_uids[i:i+500] ph = ','.join(['%s'] * len(batch)) cur.execute(f"SELECT id, account_id FROM bi_vala_app_character WHERE id IN ({ph})", batch) for cid, aid in cur.fetchall(): char2acct[cid] = aid print("按周汇总...") results = [] for ws, we in weeks: # 截至 we 的付费用户 l1_paid = {aid for aid in l1_group if is_paid(aid, we)} l2_paid = {aid for aid in l2_group if is_paid(aid, we)} l1_cons, l1_cons_users = 0, set() l2_cons, l2_cons_users = 0, set() for (uid, ch_id), cons_date in cons_map.items(): if ws <= cons_date <= we: aid = char2acct.get(uid) if not aid: continue if aid in l1_paid: l1_cons += 1 l1_cons_users.add(aid) if aid in l2_paid: l2_cons += 1 l2_cons_users.add(aid) results.append({ 'ws': ws, 'we': we, 'L1_paid': len(l1_paid), 'L1_cons': l1_cons, 'L1_cons_users': len(l1_cons_users), 'L1_no_cons': len(l1_paid) - len(l1_cons_users), 'L1_avg_all': round(l1_cons / len(l1_paid), 2) if l1_paid else 0, 'L1_avg_cons': round(l1_cons / len(l1_cons_users), 2) if l1_cons_users else 0, 'L2_paid': len(l2_paid), 'L2_cons': l2_cons, 'L2_cons_users': len(l2_cons_users), 'L2_no_cons': len(l2_paid) - len(l2_cons_users), 'L2_avg_all': round(l2_cons / len(l2_paid), 2) if l2_paid else 0, 'L2_avg_cons': round(l2_cons / len(l2_cons_users), 2) if l2_cons_users else 0, }) cur.close() conn.close() # ===== 生成图表 ===== print("\n生成图表...") out = '/root/.openclaw/workspace/output' configs = { 'L1_all': {'prefix': 'L1', 'color': '#4A90D9', 'light': '#A8CFF1', 'label': 'L1'}, 'L2_all': {'prefix': 'L2', 'color': '#E85D47', 'light': '#F4A9A0', 'label': 'L2'}, } for key, cfg in configs.items(): pfx = cfg['prefix'] color = cfg['color'] light = cfg['light'] label = cfg['label'] first = next(i for i, r in enumerate(results) if r[f'{pfx}_paid'] > 0) data = results[first:] xs = [r['ws'] + timedelta(days=3) for r in data] dates = [r['ws'] for r in data] paid = [r[f'{pfx}_paid'] for r in data] cons_users = [r[f'{pfx}_cons_users'] for r in data] no_cons = [r[f'{pfx}_no_cons'] for r in data] avg_all = [r[f'{pfx}_avg_all'] for r in data] avg_cons = [r[f'{pfx}_avg_cons'] for r in data] # 图1: 堆叠柱状 fig, ax = plt.subplots(figsize=(18, 8)) x_idx = np.arange(len(xs)) bar_w = 0.65 ax.bar(x_idx, cons_users, bar_w, color=light, label='有课消用户', zorder=3) ax.bar(x_idx, no_cons, bar_w, bottom=cons_users, color='#D0D0D0', label='无课消用户', zorder=3) step = max(1, len(data)//10) for i in range(0, len(data), step): ax.annotate(str(paid[i]), (i, paid[i]), textcoords='offset points', xytext=(0, 5), fontsize=7.5, ha='center', color='#333333', fontweight='bold') ax.set_xticks(x_idx[::step]) ax.set_xticklabels([dates[i].strftime('%m/%d') for i in range(0, len(data), step)], fontsize=8.5, rotation=45) ax.set_ylabel('用户数', fontsize=13) ax.set_title(f'{label}付费用户周课消分布（剔除U0序章）', fontsize=16, fontweight='bold') ax.legend(fontsize=12, loc='upper left') ax.grid(axis='y', alpha=0.3, zorder=0) ax.set_xlim(-0.5, len(x_idx) - 0.5) no_rate = no_cons[-1] / paid[-1] * 100 if paid[-1] else 0 ax.text(0.97, 0.95, f'付费{paid[-1]}人 | 无课消率{no_rate:.0f}%', transform=ax.transAxes, fontsize=11, ha='right', va='top', color='#666666', fontstyle='italic') plt.tight_layout() plt.savefig(f'{out}/{key}_users_stack.png', dpi=150, bbox_inches='tight', facecolor='white') plt.close() print(f' ✅ {key}_users_stack.png') # 图2: 折线 fig, ax = plt.subplots(figsize=(18, 8)) ax.plot(xs, avg_all, 'o-', color='#999999', linewidth=2.2, markersize=5, label='人均课消（全部付费用户）', markerfacecolor='white') ax.plot(xs, avg_cons, 's-', color=color, linewidth=2.8, markersize=5, label='人均课消（有课消用户）', markerfacecolor='white') ax.fill_between(xs, avg_all, avg_cons, alpha=0.08, color=color) for i in range(0, len(data), max(1, len(data)//8)): ax.annotate(f'{avg_all[i]:.1f}', (xs[i], avg_all[i]), textcoords='offset points', xytext=(0, -15), fontsize=7.5, color='#999999', ha='center') ax.annotate(f'{avg_cons[i]:.1f}', (xs[i], avg_cons[i]), textcoords='offset points', xytext=(0, 7), fontsize=7.5, color=color, ha='center', fontweight='bold') ax.xaxis.set_major_formatter(mdates.DateFormatter('%m/%d')) ax.xaxis.set_major_locator(mdates.MonthLocator()) plt.setp(ax.xaxis.get_majorticklabels(), rotation=45, fontsize=9) ax.set_ylabel('课消数（节/周）', fontsize=13) ax.set_title(f'{label}付费用户周人均课消趋势（剔除U0序章）', fontsize=16, fontweight='bold') ax.legend(fontsize=12, loc='upper left') ax.grid(True, alpha=0.3) ax.set_xlim(date(2025, 8, 30), date(2026, 5, 12)) plt.tight_layout() plt.savefig(f'{out}/{key}_avg_trend.png', dpi=150, bbox_inches='tight', facecolor='white') plt.close() print(f' ✅ {key}_avg_trend.png') print('\n✅ 4张图表已生成')