feat(report): 报表统计四表查询与 Excel 签字导出
- 四表接口 /api/v1/reports/*:个人明细(全筛选 summary)、部门汇总(团队基数与月结聚合同源、12.5%/5% 分列、零行经理、冻结对照)、业务统计(排除聚合行)、回款统计(8 档区间恒在、回款金额按 receipt_id 去重防分摊拆行翻倍) - Excel 导出:公司页眉/财务复核栏/领导签字栏/日期/版本、Decimal 原值 + number_format、文本防公式注入、2 万行超限 400、导出行为入操作日志 - manager_share 共享模块:月结聚合与报表部门汇总同源取参与分桶(薄委托保留测试入口) - 区间元数据落 core/report_meta(repository 需要类型,避免反向依赖 service 层) - 准入 require_roles(admin/finance/leader),支持自定义 403 文案 Co-Authored-By: Claude Code <noreply@anthropic.com>
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@@ -15,6 +15,7 @@
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from sqlalchemy import func, select
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from sqlalchemy.orm import Session
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from app.core.report_meta import DayBucket
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from app.models import (
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AdjustmentOrder,
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Business,
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@@ -36,6 +37,7 @@ _ACTIVE_SINGLE = (PerformanceLedger.calc_type == 1, PerformanceLedger.is_active
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# ==== 个人绩效明细(FR-029)====
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def _personal_filters(query: PersonalDetailQuery) -> tuple:
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filters = [*_ACTIVE_SINGLE]
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if query.settlement_month:
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@@ -65,29 +67,34 @@ def count_personal_detail(session: Session, query: PersonalDetailQuery) -> int:
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"""个人绩效明细计数(与 list_personal_detail 同筛选)。"""
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return int(
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session.execute(
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select(func.count())
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.select_from(PerformanceLedger)
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.where(*_personal_filters(query))
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select(func.count()).select_from(PerformanceLedger).where(*_personal_filters(query))
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).scalar_one()
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)
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def sum_personal_detail(session: Session, query: PersonalDetailQuery) -> dict:
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"""全筛选口径合计(分页与合计同条件,避免「页脚合计≠全部结果」)。"""
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return session.execute(
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select(
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func.count().label("row_count"),
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func.coalesce(func.sum(PerformanceLedger.performance_amount), 0).label("performance_total"),
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func.coalesce(func.sum(PerformanceLedger.payable_amount), 0).label("payable_total"),
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func.coalesce(func.sum(PerformanceLedger.converted_profit), 0).label(
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"converted_profit_total"
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),
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).where(*_personal_filters(query))
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).mappings().one()
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return (
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session.execute(
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select(
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func.count().label("row_count"),
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func.coalesce(func.sum(PerformanceLedger.performance_amount), 0).label(
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"performance_total"
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),
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func.coalesce(func.sum(PerformanceLedger.payable_amount), 0).label("payable_total"),
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func.coalesce(func.sum(PerformanceLedger.converted_profit), 0).label(
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"converted_profit_total"
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),
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).where(*_personal_filters(query))
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)
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.mappings()
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.one()
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)
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# ==== 部门汇总取数(FR-030)====
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def list_month_receipt_rows(session: Session, month: str) -> list[PerformanceLedger]:
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"""同月全量生效单笔台账行(部门汇总基数与成员明细的取数)。"""
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return list(
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@@ -137,6 +144,7 @@ def list_month_settlement(session: Session, month: str) -> MonthlySettlement | N
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# ==== 业务统计(FR-031 之一)====
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def _business_perf_subquery():
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"""业务维度绩效子查询(排除聚合行,防 12.5%/5% 聚合额污染单业务绩效)。"""
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return (
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@@ -212,23 +220,28 @@ def count_business_stats(session: Session, query: BusinessStatsQuery) -> int:
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def sum_business_stats(session: Session, query: BusinessStatsQuery) -> dict:
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"""业务统计全筛选合计(业务数/发货/回款/销售额/绩效/应付)。"""
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perf_sq = _business_perf_subquery()
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return session.execute(
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select(
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func.count().label("row_count"),
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func.coalesce(func.sum(Business.total_ship_amount), 0).label("ship_total"),
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func.coalesce(func.sum(Business.total_received_amount), 0).label("received_total"),
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func.coalesce(func.sum(Business.total_sale_amount), 0).label("sale_total"),
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func.coalesce(func.sum(perf_sq.c.perf), 0).label("performance_total"),
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func.coalesce(func.sum(perf_sq.c.payable), 0).label("payable_total"),
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return (
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session.execute(
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select(
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func.count().label("row_count"),
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func.coalesce(func.sum(Business.total_ship_amount), 0).label("ship_total"),
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func.coalesce(func.sum(Business.total_received_amount), 0).label("received_total"),
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func.coalesce(func.sum(Business.total_sale_amount), 0).label("sale_total"),
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func.coalesce(func.sum(perf_sq.c.perf), 0).label("performance_total"),
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func.coalesce(func.sum(perf_sq.c.payable), 0).label("payable_total"),
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)
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.outerjoin(Customer, Customer.id == Business.customer_id)
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.outerjoin(perf_sq, perf_sq.c.business_id == Business.id)
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.where(*_business_filters(query))
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)
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.outerjoin(Customer, Customer.id == Business.customer_id)
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.outerjoin(perf_sq, perf_sq.c.business_id == Business.id)
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.where(*_business_filters(query))
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).mappings().one()
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.mappings()
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.one()
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)
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# ==== 回款统计(FR-031 之二)====
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def _payment_filters(query: PaymentStatsQuery | PaymentDetailQuery) -> tuple:
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filters = [*_ACTIVE_SINGLE]
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if query.settlement_month:
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@@ -255,9 +268,7 @@ def group_payment_by_days(session: Session, query: PaymentStatsQuery) -> list:
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func.coalesce(func.sum(PerformanceLedger.performance_amount), 0).label(
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"performance_total"
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),
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func.coalesce(func.sum(PerformanceLedger.payable_amount), 0).label(
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"payable_total"
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),
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func.coalesce(func.sum(PerformanceLedger.payable_amount), 0).label("payable_total"),
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func.count().label("ledger_count"),
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)
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.where(*_payment_filters(query))
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@@ -326,7 +337,9 @@ def _group_by_dimension(session: Session, query: PaymentStatsQuery, dim_column)
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dim_perf = (
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select(
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dim_column.label("dim"),
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func.coalesce(func.sum(PerformanceLedger.performance_amount), 0).label("performance_total"),
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func.coalesce(func.sum(PerformanceLedger.performance_amount), 0).label(
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"performance_total"
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),
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func.coalesce(func.sum(PerformanceLedger.payable_amount), 0).label("payable_total"),
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func.count().label("ledger_count"),
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)
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@@ -342,10 +355,7 @@ def _group_by_dimension(session: Session, query: PaymentStatsQuery, dim_column)
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.distinct()
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.subquery()
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)
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perf_rows = {
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row.dim: row
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for row in session.execute(dim_perf).all()
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}
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perf_rows = {row.dim: row for row in session.execute(dim_perf).all()}
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receipt_rows = session.execute(
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select(
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dim_receipts.c.dim,
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@@ -356,15 +366,36 @@ def _group_by_dimension(session: Session, query: PaymentStatsQuery, dim_column)
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).all()
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receipt_amounts = {row.dim: row.receipt_amount for row in receipt_rows}
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return [
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(row.dim, receipt_amounts.get(row.dim), row.performance_total, row.payable_total, row.ledger_count)
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(
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row.dim,
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receipt_amounts.get(row.dim),
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row.performance_total,
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row.payable_total,
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row.ledger_count,
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)
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for row in perf_rows.values()
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]
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def _bucket_condition(bucket: DayBucket) -> tuple:
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"""区间桶的 days 过滤条件:none 桶 IS NULL,其余按 min/max 闭区间。"""
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if bucket.code == "none":
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return (PerformanceLedger.payment_days.is_(None),)
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conds = []
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if bucket.min_days is not None:
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conds.append(PerformanceLedger.payment_days >= bucket.min_days)
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if bucket.max_days is not None:
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conds.append(PerformanceLedger.payment_days <= bucket.max_days)
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return tuple(conds)
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def list_payment_detail(
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session: Session, query: PaymentDetailQuery, *, offset: int, limit: int
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session: Session, query: PaymentDetailQuery, bucket: DayBucket, *, offset: int, limit: int
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) -> list:
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"""区间下钻:单笔生效行联回款表(行级展示回款金额与批次号)。"""
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"""区间下钻:单笔生效行联回款表(行级展示回款金额与批次号)。
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bucket 由服务层解析(未注册编码 400),仓储只按区间拼条件。
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"""
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from app.models import Receipt
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stmt = (
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@@ -374,19 +405,19 @@ def list_payment_detail(
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Receipt.receipt_batch_no.label("receipt_batch_no"),
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)
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.outerjoin(Receipt, Receipt.id == PerformanceLedger.receipt_id)
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.where(*_payment_filters(query))
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.where(*_payment_filters(query), *_bucket_condition(bucket))
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)
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stmt = stmt.order_by(PerformanceLedger.receipt_date.desc(), PerformanceLedger.id.desc())
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stmt = stmt.offset(offset).limit(limit)
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return list(session.execute(stmt).all())
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def count_payment_detail(session: Session, query: PaymentDetailQuery) -> int:
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def count_payment_detail(session: Session, query: PaymentDetailQuery, bucket: DayBucket) -> int:
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"""区间下钻计数(与 list_payment_detail 同筛选)。"""
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return int(
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session.execute(
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select(func.count())
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.select_from(PerformanceLedger)
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.where(*_payment_filters(query))
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.where(*_payment_filters(query), *_bucket_condition(bucket))
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).scalar_one()
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)
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