Files
Django/jituan/services/daily_finance_display.py
T

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