fix(alerts): enforce caliber ruling R5-supp (period linkage)

deviation_engine: link kpi_value_id on deviation/trend alert rows; skip when period not attributable or kpi_values row missing; dedupe key now (entity_id,kpi_id,kpi_value_id,alert_type)

deviation_push: same-source R1/R5 guards, no-period request writes nothing

tests: add test_alert_caliber_r5_residual_20260919 (13 cases incl. negative controls); adapt r1r4/r5 fixtures to the supplemental ruling
This commit is contained in:
Hermes CI Fix
2026-09-19 11:12:31 +08:00
parent 5a99ed87e0
commit 8c5853f64b
5 changed files with 497 additions and 91 deletions
+48 -17
View File
@@ -8,9 +8,10 @@ from app.database import get_db
from app.auth_middleware import require_auth, require_role
from app.deps import get_entity_id
from app.models import StrategicMap, KPIDefinition, KPIValue, KPIAlert, OperationLog, ActionPlan, BudgetPlan
# 裁定 R5-补1(2026-09-19 财务口径):差异反打路径同源接入 R1/R5 守卫
from app.utils.alert_entity_scope import entity_alert_guard, guard_alert_period
import json
import logging
from datetime import datetime
logger = logging.getLogger("cma.deviation_push")
@@ -49,6 +50,22 @@ def push_deviation_to_map(
if new_value is None:
raise HTTPException(400, "缺少 newValue")
# R5-补1(财务裁定 2026-09-19):「请求体无 period 一律不落库」
# 旧码在缺 period 时用当月冒充期间再落库(预警 + kpi_values 双写)——
# 该兜底正好绕过 R5「可归期」判据,故此处直接整请求零业务写入返回。
if not period:
logger.info(
"R5-补1 期间守卫:deviation_push 请求无 period,整请求零业务写入"
" entity_id=%s map_id=%s node_id=%s", entity_id, map_id, node_id)
return {
"success": False,
"message": "缺少 period:按 R5-补1(期间不可归期)未落库任何数据",
"alert_created": False,
"alert_skipped_reason": "no_period",
"zero_write": True,
"review_topic_created": False,
}
# 1. 查找战略地图(2026-09-18 派生单: 地图须归属会话账套,NULL 归属按 e1 兼容)
m = db.query(StrategicMap).filter(StrategicMap.id == map_id).first()
if not m or (m.entity_id or 1) != entity_id:
@@ -95,9 +112,8 @@ def push_deviation_to_map(
raise HTTPException(404, f"KPI {kpi_code} 不存在")
# 3. 更新实际值到 KPIValue 表
if not period:
period = datetime.now().strftime("%Y-%m")
#(R5-补1:period 已在上方强制校验,原「缺 period 用当月兜底」分支已删除——
# 该兜底会伪造期间,正是 R5「不可归期」的成因之一)
existing_value = db.query(KPIValue).filter(
KPIValue.kpi_id == kpi.id,
KPIValue.period == period,
@@ -106,20 +122,22 @@ def push_deviation_to_map(
if existing_value:
existing_value.actual_value = new_value
existing_value.source_type = "manual"
kv_row = existing_value
else:
kv = KPIValue(
kv_row = KPIValue(
kpi_id=kpi.id,
period=period,
actual_value=new_value,
source_type="manual",
)
db.add(kv)
db.add(kv_row)
db.flush()
# 4. 检查是否触发预警
alert_created = False
alert_id = None
alert_skipped_reason = None
if kpi.target_value and kpi.target_value > 0:
ratio = new_value / kpi.target_value
if ratio < 0.7:
@@ -132,17 +150,28 @@ def push_deviation_to_map(
alert_level = None
if alert_level:
alert = KPIAlert(
entity_id=kpi.entity_id or 1, # 2026-09-13 F1: 显式写归属
kpi_id=kpi.id,
alert_level=alert_level,
alert_message=alert_msg,
status="pending",
)
db.add(alert)
db.flush()
alert_created = True
alert_id = alert.id
# R1/R5 双守卫(裁定 R5-补1):demo 账套 / 非规整月期间 → 该 kpi_alerts 行不入库,
# 返回体登记跳过原因(KPI 值照写,与 bot_bridge 同口径:裁定只约束预警行)
if not entity_alert_guard(db, entity_id, source="deviation_push.push_deviation_to_map",
detail="kpi=%s" % kpi_code):
alert_skipped_reason = "R1_demo_entity_excluded"
elif not guard_alert_period(period, source="deviation_push.push_deviation_to_map",
detail="kpi=%s" % kpi_code):
alert_skipped_reason = "R5_non_attributable_period"
if alert_skipped_reason is None:
alert = KPIAlert(
entity_id=kpi.entity_id or 1, # 2026-09-13 F1: 显式写归属
kpi_id=kpi.id,
kpi_value_id=kv_row.id, # R5-补1: 期间关联(同 kpi 同期间行 → 可派生)
alert_level=alert_level,
alert_message=alert_msg,
status="pending",
)
db.add(alert)
db.flush()
alert_created = True
alert_id = alert.id
# 5. 生成战略回顾会议题
review_topic_created = False
@@ -180,6 +209,7 @@ def push_deviation_to_map(
"new_value": new_value,
"period": period,
"alert_created": alert_created,
"alert_skipped_reason": alert_skipped_reason,
"review_topic_created": review_topic_created,
}, ensure_ascii=False),
)
@@ -194,6 +224,7 @@ def push_deviation_to_map(
"new_value": new_value,
"alert_created": alert_created,
"alert_id": alert_id,
"alert_skipped_reason": alert_skipped_reason,
"review_topic_created": review_topic_created,
}
+103 -40
View File
@@ -17,6 +17,7 @@ from app.models import KPIDefinition, KPIValue, KPIAlert, BudgetPlan, SystemConf
# 裁定 R1/R2/R3(2026-09-19 财务口径):demo 账套排除 / 期间窗口 / 规整月期间
from app.utils.alert_entity_scope import (
excluded_entity_ids, kpi_excluded, period_in_window, window_lower_period,
guard_alert_period, # R5-补1(2026-09-19):期间可归期 + 关联 kpi_values
)
logger = logging.getLogger("cma.deviation")
@@ -80,13 +81,46 @@ def get_budget_for_kpi(db, kpi_id: int, period: str, version: str = None) -> Opt
return plan.budget_value if plan else None
def get_actual_for_kpi(db, kpi_id: int, period: str) -> Optional[float]:
"""获取指定KPI在指定期间的实际值"""
val = db.query(KPIValue).filter(
def get_kpi_value_row(db, kpi_id: int, period: str):
"""取 (kpi_id, period) 的 KPIValue 行(取行口径唯一来源)。
与 get_actual_for_kpi 同源:预警行关联的 kpi_values 行 = 数值来源那一行。
"""
return db.query(KPIValue).filter(
KPIValue.kpi_id == kpi_id,
KPIValue.period == period,
).order_by(KPIValue.calculated_at.desc()).first()
return val.actual_value if val else None
def get_actual_for_kpi(db, kpi_id: int, period: str) -> Optional[float]:
"""获取指定KPI在指定期间的实际值"""
row = get_kpi_value_row(db, kpi_id, period)
return row.actual_value if row else None
def resolve_alert_kpi_value(db, kpi, period: str):
"""R5-补1(财务裁定 2026-09-19):解析差异/趋势预警行必须关联的 `kpi_values` 行。
裁定原文:「此类预警行必须在落库时写入 `kpi_value_id`,指向 **同 `entity_id` +
同 `kpi_id` + 文案所示规整月期间** 的 `kpi_values` 行。文案期间不可解析为 `YYYY-MM`,
或该 (kpi_id, period) 无 `kpi_values` 行 → 按 R5 `guard_alert_period` 跳过不入库
(不得以 `kpi_value_id=NULL` 落行——『文案里有期间』不构成可归期)。」
- 账套约束由 `kpi_id` 传递:KPIDefinition 归属单一账套,故 kpi_id 已唯一确定 entity_id;
取行口径与 `get_kpi_value_row`(= `get_actual_for_kpi` 的来源行)完全一致,
保证「预警关联的那一行」就是该预警数值的来源行,不会关联到别的账套/别的期间。
- 返回 `(kpi_value_row | None, skip_reason | None)`;跳过原因供调用点计数与日志。
"""
if not guard_alert_period(period, source="deviation_engine.resolve_alert_kpi_value",
detail="kpi=%s" % getattr(kpi, "kpi_code", "")):
return None, "R5_non_attributable_period"
row = get_kpi_value_row(db, kpi.id, period)
if row is None:
logger.info(
"R5-补1 期间关联:跳过不入库(该 (kpi, period) 无 kpi_values 行,期间不可派生)"
" kpi=%s period=%s", getattr(kpi, "kpi_code", ""), period)
return None, "no_kpi_value_row"
return row, None
def calc_period_deviation(db, kpi_id: int, period: str) -> dict:
@@ -320,6 +354,10 @@ def run_deviation_check(db_session, period: str = None) -> int:
2026-09-19 财务口径裁定 R1/R2/R3(`alert_entity_scope`):
· R1 —— `status='demo'` 的账套不参与遍历(demo 仅演示,不产生业务预警);
· R2/R3 —— 期间须为规整月 `YYYY-MM` 且落在窗口(当月往前 6 个自然月,含当月)内。
· R5-补1 —— 差异/趋势分支**必须落 `kpi_value_id` 关联**(同 kpi 同期间的 `kpi_values` 行);
文案期间不可解析为 `YYYY-MM` 或该 (kpi, period) 无 `kpi_values` 行 → 跳过不入库;
趋势类以「计算基准期(趋势末端当期)」为关联期间;差异类去重键
= `(entity_id, kpi_id, kpi_value_id, alert_type)`。
"""
if period is None:
period = datetime.now().strftime("%Y-%m")
@@ -335,6 +373,8 @@ def run_deviation_check(db_session, period: str = None) -> int:
new_count = 0
skipped_demo = 0
skipped_period_linkage = 0
skipped_linkage_kpis = []
for kpi in kpis:
# R1(裁定 2026-09-19):demo 演示账套不参与预警遍历
if kpi_excluded(db_session, kpi, excluded):
@@ -349,53 +389,76 @@ def run_deviation_check(db_session, period: str = None) -> int:
f"vs 预算{deviation['budget_value']},"
f"差异率{deviation['deviation_rate']}%"
)
alert_type = result["alert_type"] or "actual"
# 检查是否已有同KPI同期间的差异预警
existing = db_session.query(KPIAlert).filter(
KPIAlert.kpi_id == kpi.id,
KPIAlert.alert_message.contains("[差异预警]"),
KPIAlert.alert_message.contains(period),
KPIAlert.status.in_(["pending", "processing"]),
).first()
# R5-补1(裁定 2026-09-19):期间可归期 + 必须落 kpi_value_id 关联
#(文案里的期间不构成可归期;无 kpi_values 行 → 跳过不入库)
linked_kv, _skip_reason = resolve_alert_kpi_value(db_session, kpi, period)
if linked_kv is None:
skipped_period_linkage += 1
skipped_linkage_kpis.append("%s[%s]" % (kpi.kpi_code, period))
else:
# 去重键(R5-补1 变更):(entity_id, kpi_id, kpi_value_id, alert_type)
#(原按 `alert_message contains period` 判断,改关联后按可归期目标去重)
existing = db_session.query(KPIAlert).filter(
KPIAlert.entity_id == (kpi.entity_id or 1),
KPIAlert.kpi_id == kpi.id,
KPIAlert.kpi_value_id == linked_kv.id,
KPIAlert.alert_type == alert_type,
KPIAlert.status.in_(["pending", "processing"]),
).first()
if not existing:
alert = KPIAlert(
entity_id=kpi.entity_id or 1, # 2026-09-13 F1: 显式写归属(原缺省=1 串账套)
kpi_id=kpi.id,
alert_level=result["kpi_alert_level"],
alert_message=f"[差异预警] {alert_msg}",
alert_type=result["alert_type"] or "actual",
suggestion=result["suggestion"],
status="pending",
)
db_session.add(alert)
new_count += 1
logger.info(f" 新增差异预警 [{result['kpi_alert_level']}] {kpi.kpi_name}: 差异率{deviation['deviation_rate']}%")
if not existing:
alert = KPIAlert(
entity_id=kpi.entity_id or 1, # 2026-09-13 F1: 显式写归属(原缺省=1 串账套)
kpi_id=kpi.id,
kpi_value_id=linked_kv.id, # R5-补1: 期间经该行可派生(可归期)
alert_level=result["kpi_alert_level"],
alert_message=f"[差异预警] {alert_msg}",
alert_type=alert_type,
suggestion=result["suggestion"],
status="pending",
)
db_session.add(alert)
new_count += 1
logger.info(f" 新增差异预警 [{result['kpi_alert_level']}] {kpi.kpi_name}: 差异率{deviation['deviation_rate']}%")
# 2. 趋势异常检测(每期检查连续3期)
trend = check_trend_anomaly(db_session, kpi.id, period, consecutive=3)
if trend.get("anomaly") and trend.get("level") in ("yellow", "red"):
trend_alert_msg = trend["message"]
existing_trend = db_session.query(KPIAlert).filter(
KPIAlert.kpi_id == kpi.id,
KPIAlert.alert_message.contains("[趋势预警]"),
KPIAlert.status.in_(["pending", "processing"]),
).first()
# R5-补1:趋势类以「计算基准期(趋势末端当期)」为关联期间;该期无行 → 跳过
trend_periods = trend.get("periods") or []
base_period = trend_periods[-1] if trend_periods else period
linked_kv, _skip_reason = resolve_alert_kpi_value(db_session, kpi, base_period)
if linked_kv is None:
skipped_period_linkage += 1
skipped_linkage_kpis.append("%s[%s]" % (kpi.kpi_code, base_period))
else:
existing_trend = db_session.query(KPIAlert).filter(
KPIAlert.kpi_id == kpi.id,
KPIAlert.alert_message.contains("[趋势预警]"),
KPIAlert.status.in_(["pending", "processing"]),
).first()
if not existing_trend:
alert = KPIAlert(
entity_id=kpi.entity_id or 1, # 2026-09-13 F1: 显式写归属
kpi_id=kpi.id,
alert_level=trend["level"],
alert_message=f"[趋势预警] {trend_alert_msg}",
status="pending",
)
db_session.add(alert)
new_count += 1
logger.info(f" 新增趋势预警 [{trend['level']}] {trend_alert_msg}")
if not existing_trend:
alert = KPIAlert(
entity_id=kpi.entity_id or 1, # 2026-09-13 F1: 显式写归属
kpi_id=kpi.id,
kpi_value_id=linked_kv.id, # R5-补1: 趋势末端当期关联
alert_level=trend["level"],
alert_message=f"[趋势预警] {trend_alert_msg}",
status="pending",
)
db_session.add(alert)
new_count += 1
logger.info(f" 新增趋势预警 [{trend['level']}] {trend_alert_msg}")
if skipped_demo:
logger.info(" 差异预警跳过 demo 账套 KPI %s 项(R1,裁定 2026-09-19)", skipped_demo)
if skipped_period_linkage:
logger.info(" 差异/趋势预警跳过(R5-补1 期间不可归期或无 kpi_values 行)KPI %s 项: %s",
skipped_period_linkage, skipped_linkage_kpis)
db_session.commit()
return new_count