修复财务接口:统一date字段查询,板子全平台合计

This commit is contained in:
XingQue
2026-06-24 22:08:40 +08:00
parent 79f2d4f020
commit 8e5db24bad
5 changed files with 329 additions and 335 deletions

View File

@@ -61,26 +61,24 @@ def build_caiwu_payload(request):
order_qs = _order_qs(request)
cz_qs = _czjilu_qs(request)
hy_qs = _huiyuangoumai_qs(request)
income_qs = _daily_income_qs(request)
payout_qs = _daily_payout_qs(request)
scope = resolve_club_scope(request)
today_income_qs = income_qs.filter(date=today)
today_payout_qs = payout_qs.filter(date=today)
inc_agg = today_income_qs.aggregate(
# 四个板子:全平台合计(与 /houtai/caiwu 一致,读 date 字段)
today_inc = DailyIncomeStat.query.filter(date=today).aggregate(
total_amount=Sum('total_amount'),
total_count=Sum('total_count'),
)
today_income_amount = float(inc_agg['total_amount'] or 0.00)
today_income_count = int(inc_agg['total_count'] or 0)
today_income_amount = float(today_inc['total_amount'] or 0.00)
today_income_count = int(today_inc['total_count'] or 0)
pay_agg = today_payout_qs.aggregate(
today_pay = DailyPayoutStat.query.filter(date=today).aggregate(
total_amount=Sum('total_amount'),
total_count=Sum('total_count'),
)
today_payout_amount = float(pay_agg['total_amount'] or 0.00)
today_payout_count = int(pay_agg['total_count'] or 0)
today_payout_amount = float(today_pay['total_amount'] or 0.00)
today_payout_count = int(today_pay['total_count'] or 0)
today_orders = order_qs.filter(
CreateTime__gte=today_start,
@@ -135,59 +133,44 @@ def build_caiwu_payload(request):
total_payout = float(
DailyPayoutStat.query.aggregate(total=Sum('total_amount'))['total'] or 0.00
)
scoped_total_income = float(income_qs.aggregate(total=Sum('total_amount'))['total'] or 0.00)
scoped_total_payout = float(payout_qs.aggregate(total=Sum('total_amount'))['total'] or 0.00)
scoped_income_qs = _daily_income_qs(request)
scoped_payout_qs = _daily_payout_qs(request)
scoped_total_income = float(scoped_income_qs.aggregate(total=Sum('total_amount'))['total'] or 0.00)
scoped_total_payout = float(scoped_payout_qs.aggregate(total=Sum('total_amount'))['total'] or 0.00)
platform_profit = round(scoped_total_income - scoped_total_payout, 2)
daily_stats = []
since = today - timedelta(days=30)
if scope == DATA_SCOPE_ALL:
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.filter(date__gte=since).values('date').annotate(
total_amount=Sum('total_amount'),
total_count=Sum('total_count'),
)
income_by_date = {
str(row['date']): {
'income': float(row['total_amount'] or 0),
'income_count': int(row['total_count'] or 0),
}
payout_by_date = {
str(row['date']): float(row['total_amount'] or 0)
for row in payout_qs.filter(date__gte=since).values('date').annotate(
total_amount=Sum('total_amount'),
)
}
all_dates = sorted(
set(income_by_date.keys()) | set(payout_by_date.keys()),
reverse=True,
)[:30]
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),
})
else:
income_list = income_qs.filter(date__gte=since).order_by('-date')[:30]
payout_dict = {
str(p.date): float(p.total_amount)
for p in payout_qs.filter(date__gte=since)
}
for inc in income_list:
d = str(inc.date)
payout_amt = payout_dict.get(d, 0.00)
daily_stats.append({
'date': d,
'income': float(inc.total_amount),
'income_count': inc.total_count,
'payout': payout_amt,
'profit': round(float(inc.total_amount) - payout_amt, 2),
})
for row in DailyIncomeStat.query.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 DailyPayoutStat.query.filter(date__gte=since).values('date').annotate(
total_amount=Sum('total_amount'),
)
}
all_dates = sorted(
set(income_by_date.keys()) | set(payout_by_date.keys()),
reverse=True,
)[:30]
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 {
'club_id': club_id,

View File

@@ -48,14 +48,8 @@ def _get_szjilu_for_update(club_id):
def apply_szjilu_income(amount, club_id=None):
"""平台收入:总收益、总流水、今日流水增加"""
jine = Decimal(str(amount))
with transaction.atomic():
szjilu = _get_szjilu_for_update(club_id)
szjilu.TotalIncome += jine
szjilu.TotalFlow += jine
szjilu.DailyFlow += jine
szjilu.save()
"""【已废弃】szjilu 禁止写入,财务只维护 daily_income_stat"""
logger.debug('apply_szjilu_income 已禁用 amount=%s club=%s', amount, club_id)
def subtract_szjilu_income(amount, club_id=None, subtract_daily_flow=True):
@@ -309,36 +303,8 @@ def sync_daily_income_stat_for_date(stat_date, reset_day=False):
def sync_szjilu_income_from_logs():
"""按 platform_income_log 全量重算各俱乐部 szjilu 累计收入/流水(纠正重复累加)"""
try:
rows = PlatformIncomeLog.objects.values('club_id').annotate(
total=Sum('amount'),
cnt=Count('id'),
)
except _PLATFORM_LOG_ERRORS as exc:
logger.error('platform_income_log 不可用: %s', exc)
return 0
today = date.today()
updated = 0
with transaction.atomic():
for row in rows:
cid = normalize_szjilu_club_id(row['club_id'])
total = row['total'] or _ZERO
today_agg = PlatformIncomeLog.objects.filter(
CreateTime__date=today, club_id=cid,
).aggregate(t=Sum('amount'))
today_flow = today_agg['t'] or _ZERO
szjilu, _ = Szjilu.objects.select_for_update().get_or_create(
club_id=cid,
defaults=dict(_SZJILU_DEFAULTS),
)
szjilu.TotalIncome = total
szjilu.TotalFlow = total
szjilu.DailyFlow = today_flow
szjilu.save(update_fields=['TotalIncome', 'TotalFlow', 'DailyFlow', 'UpdateTime'])
updated += 1
return updated
"""【已废弃】szjilu 禁止维护"""
return 0
# 订单已付款且非退款repair 错误地把 Status=5 退款单也计入了收入)
@@ -696,14 +662,8 @@ def recover_income_stats_for_date(stat_date, dry_run=True):
def apply_szjilu_expense(amount, club_id=None):
"""平台出款/支出:总收益减少,总支出、今日支出增加"""
jine = Decimal(str(amount))
with transaction.atomic():
szjilu = _get_szjilu_for_update(club_id)
szjilu.TotalIncome -= jine
szjilu.TotalExpense += jine
szjilu.DailyExpense += jine
szjilu.save()
"""【已废弃】szjilu 禁止写入,支出只维护 daily_payout_stat"""
logger.debug('apply_szjilu_expense 已禁用 amount=%s club=%s', amount, club_id)
def get_szjilu_snapshot(club_id=None):
@@ -887,12 +847,127 @@ def rebuild_income_stats_from_scratch(since_year=None, until_year=None, dry_run=
return result
def rebuild_daily_income_stat_table(dry_run=True):
"""
恢复 daily_income_stat 全表(财务看板唯一收入数据源)。
每笔 biz_ref 全局只计一次:
1. platform_income_log → 按日志 CreateTime 日期
2. 无日志的已支付订单/充值 → 按 UpdateTime 日期补入
不删日志、不碰 daily_payout_stat、不碰 szjilu。
"""
from collections import defaultdict
from orders.models import Order
from products.models import Czjilu
by_ref = {}
log_count = 0
try:
for log in PlatformIncomeLog.objects.all().iterator():
ref = (log.biz_ref or '').strip()
if not ref:
continue
stat_d = log.CreateTime.date() if log.CreateTime else date.today()
by_ref[ref] = {
'club_id': normalize_szjilu_club_id(log.club_id),
'amount': Decimal(str(log.amount or 0)),
'stat_date': stat_d,
}
log_count += 1
except _PLATFORM_LOG_ERRORS as exc:
logger.warning('platform_income_log 不可用,仅从订单补全: %s', exc)
gap_orders = 0
for od in Order.query.filter(Status__in=_LEGIT_ORDER_STATUSES):
ref = f'order:{od.OrderID}'
if ref in by_ref:
continue
pay_dt = od.UpdateTime or od.CreateTime
if not pay_dt:
continue
amt = Decimal(str(od.Amount or 0))
if amt <= 0:
continue
by_ref[ref] = {
'club_id': normalize_szjilu_club_id(getattr(od, 'ClubID', None)),
'amount': amt,
'stat_date': pay_dt.date() if hasattr(pay_dt, 'date') else pay_dt,
}
gap_orders += 1
gap_cz = 0
for cz in Czjilu.query.filter(zhuangtai=3, leixing__in=_LEGIT_CZ_LEIXING):
ref = f'cz:{cz.dingdan_id}'
if ref in by_ref:
continue
pay_dt = cz.UpdateTime or cz.CreateTime
if not pay_dt:
continue
amt = Decimal(str(cz.jine or 0))
if amt <= 0:
continue
by_ref[ref] = {
'club_id': normalize_szjilu_club_id(getattr(cz, 'club_id', None)),
'amount': amt,
'stat_date': pay_dt.date() if hasattr(pay_dt, 'date') else pay_dt,
}
gap_cz += 1
by_day_club = defaultdict(lambda: {'amt': _ZERO, 'cnt': 0})
today = date.today()
today_amt = _ZERO
today_cnt = 0
for info in by_ref.values():
key = (info['stat_date'], info['club_id'])
by_day_club[key]['amt'] += info['amount']
by_day_club[key]['cnt'] += 1
if info['stat_date'] == today:
today_amt += info['amount']
today_cnt += 1
total_amt = sum((v['amt'] for v in by_day_club.values()), _ZERO)
before = float(DailyIncomeStat.objects.aggregate(t=Sum('total_amount'))['t'] or 0)
result = {
'before_daily_total': before,
'after_daily_total': float(total_amt),
'payment_rows': len(by_ref),
'from_log': log_count,
'gap_orders': gap_orders,
'gap_cz': gap_cz,
'daily_rows': len(by_day_club),
'today_amount': float(today_amt),
'today_count': today_cnt,
'dry_run': dry_run,
}
if dry_run:
return result
with transaction.atomic():
DailyIncomeStat.objects.all().delete()
for (stat_d, cid), agg in by_day_club.items():
DailyIncomeStat.objects.create(
date=stat_d,
club_id=cid,
year=stat_d.year,
month=stat_d.month,
day=stat_d.day,
total_amount=agg['amt'],
total_count=agg['cnt'],
)
result['after_daily_total'] = float(
DailyIncomeStat.objects.aggregate(t=Sum('total_amount'))['t'] or 0
)
return result
def restore_finance_daily_stats(since_year=None, until_year=None, dry_run=True):
"""
一键恢复财务每日收入:从订单/充值重建 daily_income_stat + platform_income_log。
不碰 daily_payout_stat不碰 szjilu收支记录表已废弃
"""
return rebuild_income_stats_from_scratch(since_year, until_year, dry_run=dry_run)
"""兼容入口:全量恢复 daily_income_stat忽略 since/until整表重算"""
return rebuild_daily_income_stat_table(dry_run=dry_run)
def collect_today_live_wechat_payments(stat_date=None):
@@ -1044,18 +1119,4 @@ def repopulate_today_income_stats(stat_date=None, dry_run=True):
total_count=agg['cnt'],
)
today_d = date.today()
for cid, agg in by_club.items():
szjilu, _ = Szjilu.objects.select_for_update().get_or_create(
club_id=cid, defaults=dict(_SZJILU_DEFAULTS),
)
if stat_date == today_d:
szjilu.DailyFlow = agg['amt']
total_all = PlatformIncomeLog.objects.filter(club_id=cid).aggregate(
t=Sum('amount'),
)['t'] or _ZERO
szjilu.TotalIncome = total_all
szjilu.TotalFlow = total_all
szjilu.save(update_fields=['TotalIncome', 'TotalFlow', 'DailyFlow', 'UpdateTime'])
return result

View File

@@ -1,70 +1,149 @@
"""每日收支详细统计(供 /jituan/houtai/szxx旧 /houtai/szxx 不变)。"""
from datetime import date, datetime
from datetime import date
from django.db.models import Sum
from django.db.models.functions import ExtractDay, ExtractMonth, ExtractYear
from config.models import DailyIncomeStat, DailyPayoutStat
from jituan.services.club_context import filter_queryset_by_club, resolve_club_id_from_request, resolve_club_scope
from jituan.services.club_context import (
filter_club_char_field,
resolve_club_id_from_request,
resolve_club_scope,
)
def _month_bounds(y, m):
start = date(int(y), int(m), 1)
if int(m) == 12:
end = date(int(y) + 1, 1, 1)
else:
end = date(int(y), int(m) + 1, 1)
return start, end
def _year_bounds(y):
y = int(y)
return date(y, 1, 1), date(y + 1, 1, 1)
def build_szxx_payload(request, granularity, year, month, summary_date):
"""
与 SzxxView 返回结构一致,按俱乐部过滤日收入/日出款统计
返回 (data_dict, error_msg)error_msg 非空时表示参数错误
与 SzxxView 返回结构一致。
统一用 date 字段查询(与 /houtai/caiwu 四个板子一致),不用 year/month/day 冗余列
"""
now = date.today()
income_base = filter_club_char_field(DailyIncomeStat.objects.all(), request, field='club_id')
payout_base = filter_club_char_field(DailyPayoutStat.objects.all(), request, field='club_id')
if granularity == 'day':
if not year or not month:
return None, '按日统计需要年份和月份'
group_field = 'day'
income_filter = {'year': year, 'month': month}
payout_filter = {'year': year, 'month': month}
year, month = int(year), int(month)
chart_start, chart_end = _month_bounds(year, month)
income_rows = (
income_base.filter(date__gte=chart_start, date__lt=chart_end)
.annotate(day_key=ExtractDay('date'))
.values('day_key')
.annotate(total_income=Sum('total_amount'), total_count=Sum('total_count'))
.order_by('day_key')
)
payout_rows = (
payout_base.filter(date__gte=chart_start, date__lt=chart_end)
.annotate(day_key=ExtractDay('date'))
.values('day_key')
.annotate(total_payout=Sum('total_amount'), total_count=Sum('total_count'))
.order_by('day_key')
)
if not summary_date:
summary_date = now.strftime('%Y-%m-%d')
summary_parts = summary_date.split('-')
summary_filter = {
'year': int(summary_parts[0]),
'month': int(summary_parts[1]),
'day': int(summary_parts[2]),
}
summary_d = date.fromisoformat(str(summary_date)[:10])
income_summary = income_base.filter(date=summary_d).aggregate(
total_income=Sum('total_amount'), total_count=Sum('total_count'),
)
payout_summary = payout_base.filter(date=summary_d).aggregate(
total_payout=Sum('total_amount'), total_count=Sum('total_count'),
)
def _fmt_day(key):
return f'{year}-{month:02d}-{int(key):02d}'
elif granularity == 'month':
if not year:
return None, '按月统计需要年份'
group_field = 'month'
income_filter = {'year': year}
payout_filter = {'year': year}
year = int(year)
chart_start, chart_end = _year_bounds(year)
income_rows = (
income_base.filter(date__gte=chart_start, date__lt=chart_end)
.annotate(month_key=ExtractMonth('date'))
.values('month_key')
.annotate(total_income=Sum('total_amount'), total_count=Sum('total_count'))
.order_by('month_key')
)
payout_rows = (
payout_base.filter(date__gte=chart_start, date__lt=chart_end)
.annotate(month_key=ExtractMonth('date'))
.values('month_key')
.annotate(total_payout=Sum('total_amount'), total_count=Sum('total_count'))
.order_by('month_key')
)
if not summary_date:
summary_date = now.strftime('%Y-%m')
summary_parts = summary_date.split('-')
summary_filter = {'year': int(summary_parts[0]), 'month': int(summary_parts[1])}
parts = str(summary_date).split('-')
s_start, s_end = _month_bounds(parts[0], parts[1])
income_summary = income_base.filter(date__gte=s_start, date__lt=s_end).aggregate(
total_income=Sum('total_amount'), total_count=Sum('total_count'),
)
payout_summary = payout_base.filter(date__gte=s_start, date__lt=s_end).aggregate(
total_payout=Sum('total_amount'), total_count=Sum('total_count'),
)
def _fmt_day(key):
return f'{year}-{int(key):02d}'
elif granularity == 'year':
group_field = 'year'
income_filter = {}
payout_filter = {}
income_rows = (
income_base.annotate(year_key=ExtractYear('date'))
.values('year_key')
.annotate(total_income=Sum('total_amount'), total_count=Sum('total_count'))
.order_by('year_key')
)
payout_rows = (
payout_base.annotate(year_key=ExtractYear('date'))
.values('year_key')
.annotate(total_payout=Sum('total_amount'), total_count=Sum('total_count'))
.order_by('year_key')
)
if not summary_date:
summary_date = str(now.year)
summary_filter = {'year': int(summary_date)}
s_start, s_end = _year_bounds(int(summary_date))
income_summary = income_base.filter(date__gte=s_start, date__lt=s_end).aggregate(
total_income=Sum('total_amount'), total_count=Sum('total_count'),
)
payout_summary = payout_base.filter(date__gte=s_start, date__lt=s_end).aggregate(
total_payout=Sum('total_amount'), total_count=Sum('total_count'),
)
def _fmt_day(key):
return str(int(key))
else:
return None, '无效的颗粒度'
income_qs = filter_queryset_by_club(
DailyIncomeStat.query.filter(**income_filter), request,
).values(group_field).annotate(
total_income=Sum('total_amount'),
total_count=Sum('total_count'),
).order_by(group_field)
payout_qs = filter_queryset_by_club(
DailyPayoutStat.query.filter(**payout_filter), request,
).values(group_field).annotate(
total_payout=Sum('total_amount'),
total_count=Sum('total_count'),
).order_by(group_field)
data_map = {}
for item in income_qs:
key = item[group_field]
if granularity == 'day':
key_field = 'day_key'
elif granularity == 'month':
key_field = 'month_key'
else:
key_field = 'year_key'
for item in income_rows:
key = item[key_field]
data_map[key] = {
'income': float(item['total_income'] or 0),
'income_count': item['total_count'] or 0,
@@ -72,8 +151,8 @@ def build_szxx_payload(request, granularity, year, month, summary_date):
'payout_count': 0,
}
for item in payout_qs:
key = item[group_field]
for item in payout_rows:
key = item[key_field]
if key not in data_map:
data_map[key] = {'income': 0.0, 'income_count': 0, 'payout': 0.0, 'payout_count': 0}
data_map[key]['payout'] = float(item['total_payout'] or 0)
@@ -81,27 +160,15 @@ def build_szxx_payload(request, granularity, year, month, summary_date):
time_series = []
for key, vals in data_map.items():
if granularity == 'day':
date_str = f"{year}-{month:02d}-{key:02d}"
elif granularity == 'month':
date_str = f"{year}-{key:02d}"
else:
date_str = str(key)
profit = round(vals['income'] - vals['payout'], 2)
time_series.append({
'date': date_str,
'date': _fmt_day(key),
'income': vals['income'],
'payout': vals['payout'],
'profit': profit,
})
time_series.sort(key=lambda x: x['date'])
income_summary = filter_queryset_by_club(
DailyIncomeStat.query.filter(**summary_filter), request,
).aggregate(total_income=Sum('total_amount'), total_count=Sum('total_count'))
payout_summary = filter_queryset_by_club(
DailyPayoutStat.query.filter(**summary_filter), request,
).aggregate(total_payout=Sum('total_amount'), total_count=Sum('total_count'))
total_income = float(income_summary['total_income'] or 0)
total_payout = float(payout_summary['total_payout'] or 0)