1b3509b20f
- param_repository.resolve_values：窗口函数一条 SQL 取全量快照（同日多次变更取 effective_date DESC, id DESC 首条） - param_service.ParamSnapshot：冻结快照 + 覆盖链（角色 > 产品类别 > 默认行）+ 注册表默认值兜底；fraction/integer/boolean/text 类型化取值 - 12 项单元用例：覆盖链优先级、兜底、同日取最新、冻结不可变 Co-Authored-By: Claude Code <noreply@anthropic.com>
47 lines
1.7 KiB
Python
47 lines
1.7 KiB
Python
"""计提参数数据访问。
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本层只 flush 不 commit —— 事务边界由 services 层控制。
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时点化解析查询（窗口函数版）留存 db/queries/计提参数.sql。
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"""
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from datetime import date
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from sqlalchemy import func, select
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from sqlalchemy.orm import Session
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from app.models import ParamDefinition, ParamValue
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# ==================== 读取 ====================
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def resolve_values(session: Session, biz_date: date) -> list[tuple[str, str, str]]:
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"""时点化解析：每个 (param_id, dimension_value) 取生效日期 <= 业务日期的最新条目。
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排序 (effective_date DESC, id DESC) 保证同日多次变更取最新一条
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（不设日期唯一键，同日修正是合法留痕）。仅返回启用状态的参数定义。
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返回 (param_code, dimension_value, value_text)，供 ParamSnapshot 构造。
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"""
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row_number = (
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func.row_number()
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.over(
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partition_by=(ParamValue.param_id, ParamValue.dimension_value),
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order_by=(ParamValue.effective_date.desc(), ParamValue.id.desc()),
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)
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.label("rn")
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)
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subq = (
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select(
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ParamDefinition.param_code.label("param_code"),
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ParamValue.dimension_value.label("dimension_value"),
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ParamValue.value_text.label("value_text"),
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row_number,
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)
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.join(ParamDefinition, ParamDefinition.id == ParamValue.param_id)
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.where(ParamValue.effective_date <= biz_date, ParamDefinition.status == 1)
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.subquery()
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)
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stmt = select(subq.c.param_code, subq.c.dimension_value, subq.c.value_text).where(
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subq.c.rn == 1
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)
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return [(row.param_code, row.dimension_value, row.value_text) for row in session.execute(stmt)]
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