ci/woodpecker/push/main Pipeline failed
Kaliber: wecom-finance 2026-10-02 ruling (Boss 11:59 CST "li; but (1) add real ROI"). - kpi_definitions seed scripts/sql/profitability_kpi_defs_20261003.sql: F_ROI renamed to F_ROA (same kpi_id=20, all 8 historical values kept), new F_ROI (real IMA caliber = operating profit / invested capital), F_EVA activated with unit and thresholds aligned to 万元, new F_RI (residual income). - parameters are NOT hardcoded in formula text: they live in kpi_definitions.data_source_config.params (tax_rate / wacc / min_return_rate / include_factory_subsidy / include_channel_subsidy / include_sales_discount / annualize / capital_basis); single reader = app/utils/profitability_params.py. - deriver scripts/kpi_profitability_deriver.py: YTD operating profit from voucher_details (carry_forward=0 net), invested capital from subject_balances level-1 rows only, idempotent upsert into kpi_values (source_type=derived, no data_status downgrade, fail-closed when invested capital is 0). - read-only endpoint GET /reports/value-management reads the derived rows only (single source of truth, no recomputation) and exposes the parameter block. - DupontAnalysis.vue: value management section (ROI / ROA / ROE / EVA / RI). - caliber_units.py: RATIO_CALIBER_TABLE key F_ROI renamed to F_ROA, new F_ROI row. - tests: backend/tests/test_profitability_indicators.py (21 cases).
305 lines
16 KiB
Python
305 lines
16 KiB
Python
# -*- coding: utf-8 -*-
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"""比率类 KPI 单位口径归一(取数层) —— 口径裁定 20260917(2a) + 20260924(v2.1 取代两项)
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依据(唯一有效出处):`wecom-finance/reports/CMA_口径裁定_20260924_比率类单位口径_取代2a两指标.md`
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—— 口径标识 `CMA-CALIBER-v2.1/kpi-unit@2026-09-24`(任总 2026-09-24 16:38 放行 ASK-20260924-11)
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· **取代范围仅两项**:`F_CURRENT_RATIO` / `F_QUICK_RATIO` → 统一「倍」(无量纲),**判定层不再 ×100**
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(同量纲直判)、`kpi_definitions` 的 unit/阈值/target_value 同步改倍口径;历史 `kpi_values` **不重算**;
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· **其余比率类指标仍按 20260917 裁定2a(百分比 %)执行**:毛利率、净利率、资产负债率、渠补率、返利率、
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收入增长率等;本表内 `F_GROSS_MARGIN` 那行**保持 ×100 不动**;
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· **不得类推扩用**:再发现第三个「比率类单位/量纲矛盾」指标须**另行裁定**,不得以 v2.1 件为据类推改倍数;
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· 被取代件 `wecom-finance/reports/CMA_口径裁定_20260917.md`:其 2a 对其余比率类仍有效、2b 仍有效,
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**原件保留、一字节不改**。
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· 2a 的过渡纪律(单位未核对前的「疑似错配」预警不推送)继续生效。
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问题实证(2026-09-17 只读侦查 / 2026-09-24 v2.1 复核,entity 1 酣客):
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`kpi_definitions` 原声明单位 = %,但**取数**以比率(倍)存储:流动比率 1.29 / 速动比率 0.54 / 毛利率 0.38,
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而阈值按百分数书写(>=200 / >=100 / <15)→ 跨 2 个数量级比较,判定不可信(09-09 的 586/587 即此形态)。
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**v2.1 处置**:流动/速动两项按**倍**口径落地(unit='倍';绿>=2.0 / 黄>=1.0 / 红<1.0 与
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绿>=1.0 / 黄>=0.5 / 红<0.5)⇒ 2026-08 的 1.29 → **黄**、0.54 → **黄**;
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本模块对这两项**不再 ×100**(旧写法 `1.29×100=129` 去比 `>=2.0` 会**恒绿**,比原「恒红」更坏)。
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其余百分数类(返利率 48.44、收入增长率 -82.2、资产负债率 39.9、费用率 30.0、渠补率 75.0 …)
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**取数已是百分数**,不得再 ×100(反过来会成为量级越界)。
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实现约定(唯一事实源):
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· 归一因子表 `RATIO_CALIBER_TABLE`(kpi_code → 口径/因子/证据/是否已核对);
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· 判定侧只调 `resolve_caliber(actual, kpi)`,**不自行做字符串/量级判断**;
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· 表外且命中「疑似错配形态」的 KPI → status='dimension_suspect' → 调用方**不落预警、不推送**;
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· `norm_factor` 只影响**判定/推送口径**:2a 项不改 `kpi_values` 存储值、不改 `kpi_definitions` 阈值
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(统一取数);v2.1 取代的两项反之——**DB 的 unit/阈值已同步改倍口径**,故此处必须同量纲直判(factor=1):
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**两侧只改一侧 ⇒ 恒红(未改本表)或恒绿(未改 DB)**。
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"""
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from __future__ import annotations
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from typing import Optional, Sequence
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from app.utils.threshold_parser import parse_clauses
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#: 百分比口径的归一因子
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FACTOR_PERCENT = 100
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FACTOR_IDENTITY = 1
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#: 比率类 KPI 单位对照表(裁定2a「逐个核对定义与单位」的落地产物;2026-09-24 v2.1 取代其中两项)
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#: norm_factor=1 → 取数已是百分数/同量纲,直接判定(含 v2.1 两项「倍」口径:取数与阈值同量纲)
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#: norm_factor=100 → 取数为比率(倍),判定前 ×100 归一到百分数口径(裁定2a;**本表仅毛利率仍用**)
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RATIO_CALIBER_TABLE = {
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# ---- 倍口径(v2.1 @2026-09-24 取代 2a 之两项;取数与 DB 阈值同量纲 ⇒ 不再归一)----
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"F_CURRENT_RATIO": {
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"name": "流动比率", "declared_unit": "倍", "caliber": "倍(无量纲)",
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"norm_factor": FACTOR_IDENTITY, "verified": True,
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"evidence": "口径 `CMA-CALIBER-v2.1/kpi-unit@2026-09-24`(取代 2a 之 F_CURRENT_RATIO):unit=倍 / 绿>=2.0 / 黄>=1.0 / 红<1.0;2026-08 实测 1.29(倍)→ 同量纲直判 = 黄;不再 ×100(旧 129% 判红已作废)",
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},
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"F_QUICK_RATIO": {
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"name": "速动比率", "declared_unit": "倍", "caliber": "倍(无量纲)",
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"norm_factor": FACTOR_IDENTITY, "verified": True,
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"evidence": "口径 `CMA-CALIBER-v2.1/kpi-unit@2026-09-24`(取代 2a 之 F_QUICK_RATIO):unit=倍 / 绿>=1.0 / 黄>=0.5 / 红<0.5;2026-08 实测 0.54(倍)→ 同量纲直判 = 黄;经验值 1:1 = 1.0 倍",
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},
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# ---- 需归一(取数=倍,阈值=百分数写法;裁定2a 对其余比率类仍有效,不得顺手改)----
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"F_GROSS_MARGIN": {
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"name": "毛利率", "declared_unit": "%", "caliber": "百分比(%)",
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"norm_factor": FACTOR_PERCENT, "verified": True,
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"evidence": "2026-08 实测 0.38(同期另有 0.3766 行,源不同)→ ×100 = 38%;阈值 >=20|>=18|<15 为百分数写法(38% 合理,原口径 0.38<15 属假红)",
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},
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# ---- 无需归一(取数已是百分数/同量纲,×100 会造成反向越界)----
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"F_OP_PROFIT_MARGIN": {
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"name": "经营利润率", "declared_unit": "%", "caliber": "百分比(%)",
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"norm_factor": FACTOR_IDENTITY, "verified": True,
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"evidence": "2026-08 实测 -161.45 已是百分数(×100 得 -16145,量级越界);阈值 >=10|>=8|<5 同量纲",
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},
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"F_REBATE_RATE": {
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"name": "返利率", "declared_unit": "%", "caliber": "百分比(%)",
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"norm_factor": FACTOR_IDENTITY, "verified": True,
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"evidence": "2026-08 实测 48.44 已是百分数;量纲一致、判定有效(裁定 §4.4:不改阈值,48.44% 口径本身待财务确认 → 保留并标注)",
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},
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"F_FACTORY_REBATE_RATE": {
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"name": "上游厂补率", "declared_unit": "%", "caliber": "百分比(%)",
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"norm_factor": FACTOR_IDENTITY, "verified": True,
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"evidence": "2026-08 实测 278.7 已是百分数(厂补/进货口径 >100% 属正常)",
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},
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"F_REVENUE_GROWTH": {
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"name": "收入增长率", "declared_unit": "%", "caliber": "百分比(%)",
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"norm_factor": FACTOR_IDENTITY, "verified": True,
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"evidence": "2026-08 实测 -82.2 已是百分数",
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},
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"F_ROE": {
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"name": "净资产收益率(ROE)", "declared_unit": "%", "caliber": "百分比(%)",
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"norm_factor": FACTOR_IDENTITY, "verified": True,
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"evidence": "2026-08 实测 -0.95 已是百分数(小体量亏损月,-0.95% 量级合理)",
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},
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"F_ROA": {
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"name": "总资产报酬率(ROA)", "declared_unit": "%", "caliber": "百分比(%)",
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"norm_factor": FACTOR_IDENTITY, "verified": True,
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"evidence": "2026-08 实测 -0.57 已是百分数(kpi_code 2026-10-03 由 F_ROI 正名为 F_ROA,"
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"kpi_id/历史值不变;真 ROI 另立 F_ROI)",
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},
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"F_ROI": {
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"name": "投入资本回报率(ROI)", "declared_unit": "%", "caliber": "百分比(%)",
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"norm_factor": FACTOR_IDENTITY, "verified": True,
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"evidence": "2026-08 派生实测 -6.74(YTD 营业利润÷投入资本,已是百分数;口径见 "
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"wecom-finance 2026-10-02 裁定)",
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},
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"F_DEBT_RATIO": {
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"name": "资产负债率", "declared_unit": "%", "caliber": "百分比(%)",
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"norm_factor": FACTOR_IDENTITY, "verified": True,
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"evidence": "2026-08 实测 39.9 已是百分数",
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},
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"F_COST_RATIO": {
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"name": "费用率", "declared_unit": "%", "caliber": "百分比(%)",
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"norm_factor": FACTOR_IDENTITY, "verified": True,
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"evidence": "2026-08 实测 30.0 已是百分数(阈值 <=25|<=30|>30)",
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},
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"C_REBATE_RATE": {
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"name": "渠补率", "declared_unit": "%", "caliber": "百分比(%)",
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"norm_factor": FACTOR_IDENTITY, "verified": True,
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"evidence": "2026-08 实测 75.0 已是百分数(阈值含区间子句 52.33~107.67)",
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},
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"F_BEP_COVER": {
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"name": "保本覆盖率", "declared_unit": "%", "caliber": "百分比(%)",
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"norm_factor": FACTOR_IDENTITY, "verified": True,
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"evidence": "2026-08 实测 60.4 已是百分数(阈值 >=100|>=85|<85)",
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},
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"F_BEP_COVER_CASH": {
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"name": "现金口径保本覆盖率", "declared_unit": "%", "caliber": "百分比(%)",
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"norm_factor": FACTOR_IDENTITY, "verified": True,
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"evidence": "2026-08 实测 85.2 已是百分数",
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},
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"F_BEP_GAP": {
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"name": "保本缺口", "declared_unit": "%", "caliber": "百分比(%)",
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"norm_factor": FACTOR_IDENTITY, "verified": True,
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"evidence": "2026-08 实测 39.6 已是百分数",
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},
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}
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#: 疑似错配形态的参数:阈值按百分数书写(子句量级 ≥ 100)而实测为比率量级(0 < |v| < 10)
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SUSPECT_THRESHOLD_ORDERS = 100.0
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SUSPECT_ACTUAL_ABS_MAX = 10.0
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#: 参与「疑似错配」判定的声明单位(比率/百分数类)
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SUSPECT_UNITS = ("%", "倍", "", "百分比", None)
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def _exprs_of(kpi) -> list:
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"""取 KPI 三档阈值表达式(ORM 对象或同名 duck type 均可)"""
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return [getattr(kpi, "threshold_green", None),
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getattr(kpi, "threshold_yellow", None),
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getattr(kpi, "threshold_red", None)]
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def _clause_values(expr: str) -> list:
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"""阈值表达式 → 比较值列表(区间取两端;解析失败返回空表)"""
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try:
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clauses = parse_clauses(expr)
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except Exception:
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return []
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vals = []
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for _op, val in clauses or []:
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if isinstance(val, tuple):
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vals.extend([v for v in val if isinstance(v, (int, float))])
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elif isinstance(val, (int, float)):
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vals.append(val)
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return vals
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def suspected_unit_mismatch(actual, exprs: Sequence, unit=None) -> dict:
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"""「疑似单位错配」形态检测(裁定2a 的降级门)。
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形态:**所有**可解析阈值子句的量级都 ≥ 100(百分数写法),而实测值量级 < 10(比率写法)
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且声明单位属比率/百分数类 → 跨量级比较,判定不可信。
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为什么不用通用的「量级差 ≥1 个数量级」守卫:那会把**真实的小值告警**误伤
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(实证:总资产周转率 2026-08 = 0.008 次 vs 阈值 1.0 次,量级差 2.1——那是真红,不是错配)。
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"""
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if actual is None:
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return {"suspect": False, "reason": "无实测值"}
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try:
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a = abs(float(actual))
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except (TypeError, ValueError):
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return {"suspect": False, "reason": "实测值非数值"}
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if a == 0:
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return {"suspect": False, "reason": "实测值为 0,量级不可判"}
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vals = []
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for e in exprs or []:
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if e:
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vals.extend(_clause_values(e))
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if not vals:
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return {"suspect": False, "reason": "阈值不可解析"}
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all_percent_written = all(abs(float(v)) >= SUSPECT_THRESHOLD_ORDERS for v in vals)
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ratio_magnitude = a < SUSPECT_ACTUAL_ABS_MAX
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unit_ok = unit in SUSPECT_UNITS
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if all_percent_written and ratio_magnitude and unit_ok:
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return {"suspect": True, "nearest": min(vals, key=lambda v: abs(a - abs(float(v)))),
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"reason": ("疑似单位错配:阈值按百分数书写(子句量级 ≥%g)而实测 %s 为比率量级(|v|<%g)"
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",声明单位 %r → 判定不可信,降级待核(不推送)"
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% (SUSPECT_THRESHOLD_ORDERS, actual, SUSPECT_ACTUAL_ABS_MAX, unit))}
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return {"suspect": False, "reason": "形态不匹配(阈值量级/实测量级/单位 至少一项不符)"}
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def resolve_caliber(actual, kpi) -> dict:
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"""判定侧唯一入口:返回取数归一结果与可信度状态。
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return: {
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status: 'ok' | 'normalized' | 'dimension_suspect',
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value: 归一后用于判定/展示的数值,
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factor: 归一因子(1/100),
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verified: 对照表核对状态(表外=False),
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kpi_code, note, reason
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}
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· status='dimension_suspect' → 调用方**不落预警、不推送**(裁定2a 过渡纪律)
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"""
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code = getattr(kpi, "kpi_code", None)
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unit = getattr(kpi, "unit", None)
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row = RATIO_CALIBER_TABLE.get(code) if code else None
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if row:
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factor = row["norm_factor"] if row.get("verified") else FACTOR_IDENTITY
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if factor != FACTOR_IDENTITY and actual is not None:
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try:
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value = float(actual) * factor
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except (TypeError, ValueError):
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value = actual
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else:
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value = actual
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note = None
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if factor != FACTOR_IDENTITY:
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note = "口径归一 ×%d(原值 %s %s → %s%%)" % (factor, actual, row["declared_unit"], _fmt(value))
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return {"status": "normalized" if factor != FACTOR_IDENTITY else "ok", "value": value,
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"factor": factor, "verified": bool(row.get("verified")), "kpi_code": code,
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"caliber": row.get("caliber"), "note": note, "reason": row.get("evidence")}
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sus = suspected_unit_mismatch(actual, _exprs_of(kpi), unit)
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if sus["suspect"]:
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return {"status": "dimension_suspect", "value": actual, "factor": FACTOR_IDENTITY,
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"verified": False, "kpi_code": code, "note": None, "reason": sus["reason"]}
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return {"status": "ok", "value": actual, "factor": FACTOR_IDENTITY, "verified": False,
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"kpi_code": code, "note": None, "reason": sus["reason"]}
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def _fmt(v) -> str:
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try:
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return ("%.2f" % float(v)).rstrip("0").rstrip(".")
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except (TypeError, ValueError):
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return str(v)
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class _K:
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"""self-test 用的最小 KPI 载体"""
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def __init__(self, kpi_code, unit, green=None, yellow=None, red=None):
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self.kpi_code, self.unit = kpi_code, unit
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self.threshold_green, self.threshold_yellow, self.threshold_red = green, yellow, red
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def _self_test() -> int:
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"""零库自证(裁定2a + 2026-09-24 v2.1):倍口径直判、2a 归一、疑似错配降级、真实小值不误伤"""
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from app.utils.threshold_parser import eval_threshold, LEVEL_PRIORITY
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def level(actual, kpi):
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cal = resolve_caliber(actual, kpi)
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if cal["status"] == "dimension_suspect":
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return "dimension_suspect"
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v = cal["value"]
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exprs = {"green": kpi.threshold_green, "yellow": kpi.threshold_yellow, "red": kpi.threshold_red}
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for lv in LEVEL_PRIORITY:
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if exprs.get(lv) and eval_threshold(v, exprs[lv]):
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return lv
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return "info"
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cases = (
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# (说明, 实测, KPI, 期望)
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("倍口径(v2.1) 流动比率 1.29 → 直判 1.29 ∈ [1.0,2.0) 黄", 1.29,
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_K("F_CURRENT_RATIO", "倍", ">=2.0", ">=1.0", "<1.0"), "yellow"),
|
||
("倍口径(v2.1) 速动比率 0.54 → 直判 0.54 ∈ [0.5,1.0) 黄", 0.54,
|
||
_K("F_QUICK_RATIO", "倍", ">=1.0", ">=0.5", "<0.5"), "yellow"),
|
||
("毛利率 0.38 → 归一 38% vs 绿>=20", 0.38,
|
||
_K("F_GROSS_MARGIN", "%", ">=20", ">=18", "<15"), "green"),
|
||
("返利率 48.44 已百分数 → 红>12(不 ×100)", 48.44,
|
||
_K("F_REBATE_RATE", "%", "<=10", ">10", ">12"), "red"),
|
||
("收入增长率 -82.2 已百分数 → 红<15", -82.2,
|
||
_K("F_REVENUE_GROWTH", "%", ">=20", ">=15", "<15"), "red"),
|
||
("总资产周转率 0.008 次 vs 阈值 1.0(真实小值,不误伤)", 0.008,
|
||
_K("F_ASSET_TURNOVER", "次", ">=1.0", ">=0.8", "<0.8"), "red"),
|
||
("表外比率 KPI(阈值百分数写法)→ 降级待核不推送", 1.29,
|
||
_K("X_UNKNOWN_RATIO", "%", ">=200", ">=150", "<150"), "dimension_suspect"),
|
||
("高值不误判:营业收入 14.45 万 vs 阈值 97.33(非比率量级)", 14.45,
|
||
_K("F_REVENUE", "万元", ">=97.33", ">=77.87", "<58.4"), "red"),
|
||
)
|
||
ok = 0
|
||
print("=== 比率类单位口径归一 self-test ===")
|
||
for desc, actual, kpi, expect in cases:
|
||
got = level(actual, kpi)
|
||
flag = "PASS" if got == expect else "FAIL"
|
||
ok += (got == expect)
|
||
cal = resolve_caliber(actual, kpi)
|
||
print(" [%s] %-46s → %-18s (期望 %s) value=%s factor=%s"
|
||
% (flag, desc, got, expect, cal["value"], cal["factor"]))
|
||
print("=== %d/%d PASS | 对照表 %d 项(归一 %d 项 / 同量纲 %d 项)===" % (
|
||
ok, len(cases), len(RATIO_CALIBER_TABLE),
|
||
sum(1 for v in RATIO_CALIBER_TABLE.values() if v["norm_factor"] != FACTOR_IDENTITY),
|
||
sum(1 for v in RATIO_CALIBER_TABLE.values() if v["norm_factor"] == FACTOR_IDENTITY)))
|
||
return 0 if ok == len(cases) else 1
|
||
|
||
|
||
if __name__ == "__main__":
|
||
raise SystemExit(_self_test())
|