94 lines
3.2 KiB
Python
94 lines
3.2 KiB
Python
"""财务看板：只读 daily_income_stat / daily_payout_stat 表字段，支持按俱乐部 Header 过滤。"""
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from datetime import date, timedelta
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from django.db.models import Sum
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from config.models import DailyIncomeStat, DailyPayoutStat
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from jituan.services.club_context import filter_club_char_field
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def _income_qs(request):
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if request is None:
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return DailyIncomeStat.objects.all()
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return filter_club_char_field(DailyIncomeStat.objects.all(), request, field='club_id')
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def _payout_qs(request):
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if request is None:
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return DailyPayoutStat.objects.all()
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return filter_club_char_field(DailyPayoutStat.objects.all(), request, field='club_id')
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def sum_income_stat_for_date(stat_date, request=None):
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"""金额 = Sum(total_amount)，笔数 = Sum(total_count)，与库里 SQL 一致。"""
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agg = _income_qs(request).filter(date=stat_date).aggregate(
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total_amount=Sum('total_amount'),
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total_count=Sum('total_count'),
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)
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return float(agg['total_amount'] or 0), int(agg['total_count'] or 0)
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def sum_payout_stat_for_date(stat_date, request=None):
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agg = _payout_qs(request).filter(date=stat_date).aggregate(
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total_amount=Sum('total_amount'),
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total_count=Sum('total_count'),
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)
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return float(agg['total_amount'] or 0), int(agg['total_count'] or 0)
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def today_income_for_dashboard(stat_date=None, request=None):
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"""今日收入：只读 daily_income_stat.total_amount / total_count，不扫订单。"""
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stat_date = stat_date or date.today()
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return sum_income_stat_for_date(stat_date, request)
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def cumulative_income_payout(request=None):
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total_income = float(
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_income_qs(request).aggregate(t=Sum('total_amount'))['t'] or 0
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)
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total_payout = float(
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_payout_qs(request).aggregate(t=Sum('total_amount'))['t'] or 0
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)
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return total_income, total_payout, round(total_income - total_payout, 2)
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def daily_stats_for_request(request=None, days=30):
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since = date.today() - timedelta(days=days)
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income_by_date = {
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str(row['date']): {
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'income': float(row['total_amount'] or 0),
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'income_count': int(row['total_count'] or 0),
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}
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for row in _income_qs(request).filter(date__gte=since).values('date').annotate(
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total_amount=Sum('total_amount'),
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total_count=Sum('total_count'),
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)
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}
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payout_by_date = {
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str(row['date']): float(row['total_amount'] or 0)
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for row in _payout_qs(request).filter(date__gte=since).values('date').annotate(
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total_amount=Sum('total_amount'),
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)
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}
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daily_stats = []
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all_dates = sorted(
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set(income_by_date.keys()) | set(payout_by_date.keys()),
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reverse=True,
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)[:days]
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for d in all_dates:
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inc = income_by_date.get(d, {'income': 0.0, 'income_count': 0})
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payout_amt = payout_by_date.get(d, 0.00)
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daily_stats.append({
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'date': d,
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'income': inc['income'],
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'income_count': inc['income_count'],
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'payout': payout_amt,
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'profit': round(inc['income'] - payout_amt, 2),
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})
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return daily_stats
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def income_count_for_summary_date(stat_date, request=None):
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_, count = sum_income_stat_for_date(stat_date, request)
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return count
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