Hermes CI Fix
3beec14d96
R1: exclude status=demo entities from alert traversal (alert_generator / deviation_engine / kpi_bep_deriver / alert_rules / cash engine) R2: only generate alerts within the last 6 calendar months (incl. current) R3: only regular month periods (YYYY-MM) participate R4: decouple generation from push - empty notification_channels never blocks Single source of truth: app/utils/alert_entity_scope.py
508 lines
25 KiB
Python
508 lines
25 KiB
Python
"""
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预警自动生成 — 管理会计OS
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比对 KPI 实际值与阈值配置（threshold_green/yellow/red），超出则写入 kpi_alerts
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在 daily_sync 之后运行
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"""
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import sys
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import os
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import re
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import json
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import logging
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from typing import Optional
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from datetime import datetime, timedelta
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sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from app.database import get_session_local
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from app.models import KPIDefinition, KPIValue, KPIAlert, ActionPlan
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from app.utils.threshold_parser import eval_threshold, LEVEL_PRIORITY
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# 裁定2a（2026-09-17 财务口径）：比率类指标统一「百分比(%)」口径（取数×100），
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# 未核对/疑似单位错配的项降级待核（不落预警、不推送）
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from app.utils.caliber_units import resolve_caliber
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# 裁定 R1/R2/R3（2026-09-19 财务口径）：账套范围（demo 排除）/ 期间窗口 / 规整月期间
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from app.utils.alert_entity_scope import (
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ALERT_WINDOW_MONTHS, excluded_entity_ids, is_month_period, kpi_excluded,
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period_in_window, window_lower_period,
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)
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logger = logging.getLogger("cma.alert_gen")
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#: 月期间正则 —— 只认 YYYY-MM（排除 2026-H1/H2、2025-FY 等伪期间；裁定2b）
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PERIOD_REGEX = r"^[0-9]{4}-[0-9]{2}$"
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_PERIOD_RE = re.compile(PERIOD_REGEX)
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def resolve_latest_period(db_session, kpi_id=None):
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"""「最近可用期间」（裁定2b）：kpi_values 内最新 YYYY-MM，排除 H1/H2 伪期间。
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给定 kpi_id → 返回**该 KPI 自己**的最近可用期间：期间口径不硬编码当月，
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也不被别人（他账套/演示账套）更新的新期间带偏——实证：全局 MAX(period)=2026-09
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但那是演示账套 e6 的 8 条数据，酣客(e1) 的最新可用期间是 2026-08。
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实现说明：伪期间过滤在 **Python 侧**做（`SELECT DISTINCT period` 只有十几行），
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不依赖 MySQL 的 `REGEXP` —— SQLite 测试库不注册 REGEXP，用 SQL 侧正则会让
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单测与生产走两套语义。
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"""
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q = db_session.query(KPIValue.period).filter(KPIValue.actual_value.isnot(None))
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if kpi_id is not None:
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q = q.filter(KPIValue.kpi_id == kpi_id)
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for (p,) in q.distinct().order_by(KPIValue.period.desc()).all():
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if _PERIOD_RE.fullmatch(str(p or "")):
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return p
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return None
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def _parse_threshold(expr: str) -> tuple:
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"""[兼容保留] 统一委托 app.utils.threshold_parser.parse_threshold"""
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from app.utils.threshold_parser import parse_threshold as _p
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return _p(expr)
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def cleanup_green_alerts(db_session) -> int:
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"""Bug1修复: 清理历史遗留的green级别pending预警（正常值不应出现在待办）"""
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greens = db_session.query(KPIAlert).filter(
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KPIAlert.alert_level == "green",
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KPIAlert.status.in_(["pending", "processing"]),
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).all()
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count = 0
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for g in greens:
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g.status = "resolved"
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g.resolution = "自动清理: green(正常)级别不生成待处理预警"
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g.resolved_at = datetime.now()
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count += 1
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if count:
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db_session.commit()
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logger.info(f" 清理历史green预警 {count} 条 → resolved")
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return count
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def _check_threshold(actual: float, threshold_expr: str, level: str) -> tuple:
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"""检查实际值是否触发阈值，返回 (触发, 消息)（统一走 app.utils.threshold_parser）"""
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if not threshold_expr or actual is None:
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return False, ""
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if not eval_threshold(actual, threshold_expr):
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return False, ""
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msg = (f"KPI当前值 {actual:.2f}，触发{ {'green': '正常', 'yellow': '预警', 'red': '紧急'}.get(level, level) }阈值 "
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f"({threshold_expr})")
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return True, msg
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def run_alert_check(db_session, period: Optional[str] = None, dry_run: bool = False,
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stats: Optional[dict] = None, now: Optional[datetime] = None) -> int:
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"""检查所有KPI的实际值是否触发预警，返回（将）新生成的预警数
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2026-09-17 财务口径裁定 2a/2b：
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· **期间（2b）**：period=None → 每个 KPI 回落「最近可用期间」（自己的最新 YYYY-MM，
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排除 H1/H2 伪期间），不再硬编码当月（当月无值 → 永久 0 新预警）；
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· **单位（2a）**：判定前经 resolve_caliber() 归一到「百分比(%)」口径（取数×100，
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与阈值 150/80 同量纲）；**未核对/疑似单位错配**的项降级待核 → 不落预警、不推送；
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· dry_run=True → 只计算不写库（抽查复核与放行前证据用）。
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2026-09-19 财务口径裁定 R1/R2/R3（`alert_entity_scope` 单一事实源）：
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· **R1 账套**：`status='demo'` 的账套（演示账套）不参与遍历 → 跳过并计
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`skipped_demo_kpis`；
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· **R2 期间窗口**：仅生成「当月往前 6 个自然月（含当月）」内的预警；更早期间跳过
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（`out_of_window`），与 2b 叠加 = max(各 KPI 最近可用期间, 当月-6月)；
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· **R3 伪期间**：仅规整月期间 YYYY-MM 参与，H1/H2/FY 跳过（`skipped_pseudo_period`）。
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· now 参数仅用于口径复算/测试（缺省=系统当前时间）。
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"""
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st = stats if stats is not None else {}
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window_lower = window_lower_period(now)
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excluded_eids = excluded_entity_ids(db_session)
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for k, v in (("period_source", "fixed" if period else "per_kpi_latest"), ("period_fixed", period),
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("periods_used", {}), ("normalized", 0), ("normalized_kpis", []),
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("dimension_suspect", 0), ("suspect_kpis", []), ("no_period", 0),
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("no_value", 0), ("planned", []), ("skipped_existing", 0),
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# R1/R2/R3 口径证据
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("excluded_demo_entities", sorted(excluded_eids)),
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("window_lower_period", window_lower),
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("window_months", ALERT_WINDOW_MONTHS),
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("skipped_demo_kpis", 0), ("demo_kpis", []),
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("skipped_pseudo_period", 0), ("pseudo_period_kpis", []),
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("out_of_window", 0), ("out_of_window_kpis", [])):
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st.setdefault(k, v)
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kpis = db_session.query(KPIDefinition).filter(
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KPIDefinition.status == "active"
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).all()
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new_count = 0
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for kpi in kpis:
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# R1（裁定 2026-09-19）：demo 演示账套不参与预警遍历
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if kpi_excluded(db_session, kpi, excluded_eids):
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st["skipped_demo_kpis"] += 1
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st["demo_kpis"].append("%s/e%s" % (kpi.kpi_code, kpi.entity_id or 1))
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continue
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# 跳过无阈值的KPI
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thr = {
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"red": kpi.threshold_red,
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"yellow": kpi.threshold_yellow,
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"green": kpi.threshold_green,
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}
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if not any(thr.values()):
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continue
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# 期间口径（裁定2b）：显式指定 → 固定期间；缺省 → 该 KPI 的最近可用期间
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p = period or resolve_latest_period(db_session, kpi.id)
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if not p:
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st["no_period"] += 1
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logger.warning(f" 跳过（无可用期间）: {kpi.kpi_name} 无任何 YYYY-MM 实测值")
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continue
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# R3（裁定 2026-09-19）：仅规整月期间 YYYY-MM 参与，伪期间一律不参与
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if not is_month_period(p):
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st["skipped_pseudo_period"] += 1
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st["pseudo_period_kpis"].append("%s[%s]" % (kpi.kpi_code, p))
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logger.warning(" 跳过（伪期间 R3）: %s 期间=%s 非 YYYY-MM" % (kpi.kpi_name, p))
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continue
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# R2（裁定 2026-09-19）：期间窗口 = 当月往前 6 个自然月（含当月），更早不新生成
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if str(p) < window_lower:
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st["out_of_window"] += 1
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st["out_of_window_kpis"].append("%s[%s]" % (kpi.kpi_code, p))
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logger.info(" 跳过（期间超出窗口 R2，窗口下限 %s）: %s[%s]" % (
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window_lower, kpi.kpi_name, p))
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continue
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# 获取该KPI该期间的最新值
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latest = db_session.query(KPIValue).filter(
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KPIValue.kpi_id == kpi.id,
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KPIValue.period == p,
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).order_by(KPIValue.calculated_at.desc()).first()
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if not latest or latest.actual_value is None:
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st["no_value"] += 1
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continue
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# 单位口径（裁定2a）：取数归一 + 疑似错配降级门
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cal = resolve_caliber(latest.actual_value, kpi)
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if cal["status"] == "dimension_suspect":
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st["dimension_suspect"] += 1
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st["suspect_kpis"].append("%s[%s] actual=%s unit=%s" % (
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kpi.kpi_code, p, latest.actual_value, kpi.unit))
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logger.warning(" [降级待核·疑似单位错配→不落预警不推送] %s[%s] 实测=%s 单位=%s ← %s" % (
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kpi.kpi_name, p, latest.actual_value, kpi.unit, cal["reason"]))
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continue
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actual = cal["value"]
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if cal["status"] == "normalized":
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st["normalized"] += 1
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st["normalized_kpis"].append("%s[%s] %s → %s（×%s）" % (
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kpi.kpi_code, p, latest.actual_value, actual, cal["factor"]))
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st["periods_used"][p] = st["periods_used"].get(p, 0) + 1
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# 判定顺序：红灯优先 → 绿灯 → 黄灯（最严重者优先，消除宽黄灯遮蔽红灯）
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# 2026-09-11 修复「黄灯遮蔽红灯」：原顺序 绿→黄→红命中即止，宽黄灯(如 Y='>76')
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# 会让红灯(如 R='>91')永远不可达（id=6 实测值 95 被判黄）；
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# green 先于 yellow：green 是主条件，yellow 是更宽的兜底带（id=1 G='>=800' Y='>=700'）。
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# Bug1修复: green(正常)不生成pending预警，只对yellow/red落库
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for level in LEVEL_PRIORITY:
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expr = thr[level]
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if not expr:
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continue
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triggered, msg = _check_threshold(actual, expr, level)
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if triggered:
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if level == "green":
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# 正常状态：不生成待处理预警（如有旧的red/yellow预警自动解除）
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break
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if cal.get("note"):
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msg = "%s｜%s" % (msg, cal["note"])
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# 检查是否已有该期间该KPI同级别的预警
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existing = db_session.query(KPIAlert).filter(
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KPIAlert.kpi_id == kpi.id,
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KPIAlert.kpi_value_id == latest.id,
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KPIAlert.alert_level == level,
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).first()
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if existing:
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# 已有预警，跳过
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st["skipped_existing"] += 1
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break
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st["planned"].append({
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"kpi": "%s/%s" % (kpi.kpi_code, kpi.kpi_name), "period": p,
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"actual": actual, "raw_actual": latest.actual_value, "factor": cal["factor"],
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"level": level, "message": msg,
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})
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if dry_run:
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new_count += 1
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break
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# 创建新预警
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alert = KPIAlert(
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entity_id=kpi.entity_id or 1, # 2026-09-13 F1: 显式写归属
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kpi_id=kpi.id,
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kpi_value_id=latest.id,
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alert_level=level,
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alert_message=f"{kpi.kpi_name}[{p}] {msg}",
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status="pending",
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)
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db_session.add(alert)
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db_session.flush() # 获取alert.id
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new_count += 1
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logger.info(f" 新增预警 [{level}] {kpi.kpi_name}: {msg}")
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# Bug2修复: red/yellow预警自动创建行动计划（预警→行动闭环）
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if level in ("red", "yellow"):
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plan_title = f"改善: {kpi.kpi_name} {msg}"
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if kpi.kpi_name and "现金" in kpi.kpi_name or kpi.kpi_code == "F_OP_CFLOW":
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plan_title = f"资金缺口应对: {msg} —— 催收应收+安排融资"
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elif kpi.kpi_code == "F_AR_DAYS":
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plan_title = f"应收催收: {msg} —— 逾期客户专项跟进"
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elif kpi.kpi_code == "C_REBATE_RATE":
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plan_title = f"渠补谈判: {msg} —— 下游渠道返利谈判"
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elif kpi.kpi_code == "F_COST_RATIO":
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plan_title = f"费用压缩: {msg} —— 管理费削减计划"
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plan = ActionPlan(
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alert_id=alert.id,
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kpi_id=kpi.id,
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title=plan_title,
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assignee="财务部",
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priority="high" if level == "red" else "medium",
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due_date=datetime.now().date() + timedelta(days=3 if level == "red" else 7),
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created_by="alert_generator",
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)
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db_session.add(plan)
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db_session.flush()
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alert.action_plan_linked_id = plan.id
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logger.info(f" ↳ 自动创建行动计划 #{plan.id}: {plan_title}")
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break # 只取最高级别
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elif level == "red" and not triggered:
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# 红没触发（判定顺序中 red 最先）→ 若该期间该KPI已有 pending/processing 红灯，
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# 说明当前值已不再触发红色阈值，自动解除（保留原有自动降级行为）
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existing_red = db_session.query(KPIAlert).filter(
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KPIAlert.kpi_id == kpi.id,
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KPIAlert.kpi_value_id == latest.id,
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KPIAlert.alert_level == "red",
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KPIAlert.status.in_(["pending", "processing"]),
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).first()
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if existing_red and not dry_run:
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existing_red.status = "resolved"
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existing_red.resolution = "自动解除: 当前值不再触发红色阈值"
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existing_red.resolved_at = datetime.now()
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logger.info(f" 自动解除预警 [red] {kpi.kpi_name}")
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if dry_run:
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db_session.rollback() # 抽查复核/放行前证据：确保零写入
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return new_count
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db_session.commit()
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return new_count
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def run_rule_engine_checks(db_session) -> dict:
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"""预警规则引擎（rule_type 驱动）— 预测偏差 + 客户集中度（P2 2026-09-10）
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复用 alert_rules 的检查端点实现（FastAPI 路由函数=带 Depends 默认值的普通函数，
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显式传参即可复用，零逻辑复制），按存在规则的账套逐个执行。
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任何单点失败只记录日志，不影响静态阈值主流程。
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"""
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from app.api.alert_rules import (
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AlertRule, run_forecast_deviation_check, run_customer_concentration_check,
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)
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stats = {"forecast_deviation": 0, "customer_concentration": 0,
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"skipped_demo_entities": 0, "excluded_entities": sorted(excluded_entity_ids(db_session))}
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try:
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rows = db_session.query(AlertRule.entity_id).filter(
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AlertRule.enabled == 1,
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AlertRule.rule_type.in_(("forecast_deviation", "customer_concentration")),
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).distinct().all()
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except Exception as e:
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logger.error(f"规则引擎检查跳过（规则查询失败）: {e}")
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return stats
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for (eid,) in rows:
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# R1（裁定 2026-09-19）：demo 演示账套不参与预警遍历
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if int(eid or 1) in set(stats["excluded_entities"]):
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stats["skipped_demo_entities"] += 1
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logger.info(f" 规则引擎跳过（demo 账套 R1）: entity={eid}")
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continue
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for key, fn in (("forecast_deviation", run_forecast_deviation_check),
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("customer_concentration", run_customer_concentration_check)):
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try:
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r = fn(db=db_session, entity_id=eid)
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n = int(r.get("generated", 0) or 0)
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stats[key] += n
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if n:
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logger.info(f" 规则预警 entity={eid} {key}: {n}条")
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except Exception as e:
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logger.error(f"规则检查失败 entity={eid} {key}: {e}")
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return stats
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def _enabled_channel_count(db_session) -> int:
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"""R4（裁定 2026-09-19）：推送出口计数 —— 生成/推送解耦，空通道只记录不报错。"""
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from app.models import NotificationChannel
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try:
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return int(db_session.query(NotificationChannel).filter(
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||
NotificationChannel.enabled == True # noqa: E712 - 与其他调用点一致
|
||
).count())
|
||
except Exception as e: # pragma: no cover - 防御分支
|
||
logger.warning(f"读取通知渠道失败（按无渠道处理）: {e}")
|
||
return 0
|
||
|
||
|
||
def generate_and_push(db_session, period: Optional[str] = None, dry_run: bool = False,
|
||
now: Optional[datetime] = None) -> dict:
|
||
"""生成预警并推送，返回统计
|
||
|
||
2026-09-17 财务口径裁定 2a/2b：
|
||
· **period=None** → 判定期间 = 各 KPI「最近可用期间」（裁定2b，不再硬编码当月）；
|
||
显式给出 period → 固定该期间（抽查复核用）；
|
||
· **dry_run=True** → 零写入、零推送：返回将生成的预警清单与口径证据（放行前抽查复核）。
|
||
|
||
2026-09-19 裁定 R1–R4：
|
||
· R1/R2/R3 在 run_alert_check 内落地（demo 账套排除 / 期间窗口 / 规整月期间）；
|
||
· **R4 生成与推送解耦**：`notification_channels` 为空时仅入库、不报错、不阻断；
|
||
"""
|
||
cur_month = (now or datetime.now()).strftime("%Y-%m")
|
||
st = {}
|
||
logger.info("开始预警检查（当月=%s；判定期间=%s；窗口下限=%s；排除账套=%s）..." % (
|
||
cur_month, ("固定 %s" % period) if period else "各 KPI 最近可用期间（裁定2b）",
|
||
window_lower_period(now), sorted(excluded_entity_ids(db_session))))
|
||
|
||
# 0. Bug1修复: 先清理历史green预警（dry-run 不写）
|
||
cleaned = 0 if dry_run else cleanup_green_alerts(db_session)
|
||
|
||
# 1. 生成预警（期间口径 + 单位口径均在此落地）
|
||
new_count = run_alert_check(db_session, period=period, dry_run=dry_run, stats=st, now=now)
|
||
logger.info(f"预警检查完成: {'将新增' if dry_run else '新增'} {new_count} 条")
|
||
|
||
# 1a. 覆盖度自检（2026-09-16 项3；2026-09-17 裁定2b 过渡期保留并扩展「期间回落」明细）：
|
||
# 若**当月**无任何 KPIValue，「0 条新预警」并不代表"确无阈值触发"，而是"当月无数据"；
|
||
# 裁定2b 起改为按各 KPI 最近可用期间判定，故此处显式记录回落后的期间分布。
|
||
coverage = {"current_month": cur_month, "periods_used": st.get("periods_used", {})}
|
||
try:
|
||
kpis_with_values = 0
|
||
active_kpis = db_session.query(KPIDefinition).filter(KPIDefinition.status == "active").all()
|
||
for k in active_kpis:
|
||
if not any((k.threshold_red, k.threshold_yellow, k.threshold_green)):
|
||
continue
|
||
hit = db_session.query(KPIValue).filter(
|
||
KPIValue.kpi_id == k.id, KPIValue.period == cur_month,
|
||
KPIValue.actual_value.isnot(None),
|
||
).first()
|
||
if hit:
|
||
kpis_with_values += 1
|
||
coverage["kpis_with_threshold_and_value"] = kpis_with_values
|
||
coverage["period"] = cur_month
|
||
if kpis_with_values == 0:
|
||
coverage["latest_period_in_db"] = resolve_latest_period(db_session)
|
||
logger.warning(
|
||
"覆盖度告警: 当月(%s)无任何 KPI 实际值 → 本次按「最近可用期间」判定（期间分布 %s）；"
|
||
"「0 条新预警」= 当月无数据可判，非「确无阈值触发」。库内最新月期间=%s" % (
|
||
cur_month, st.get("periods_used"), coverage["latest_period_in_db"]))
|
||
except Exception as e:
|
||
logger.error(f"覆盖度自检失败: {e}")
|
||
coverage = {"error": str(e)}
|
||
|
||
# 1b. 规则引擎检查（预测偏差 / 客户集中度，P2 2026-09-10；dry-run 不写）
|
||
rule_stats = {"forecast_deviation": 0, "customer_concentration": 0} if dry_run \
|
||
else run_rule_engine_checks(db_session)
|
||
|
||
# 2. 推送（dry-run 零推送）
|
||
# R4（裁定 2026-09-19）：生成与推送解耦 —— notification_channels 为空时
|
||
# **仅入库、不报错、不阻断**（推送出口缺失只是"未触达"，不等于"未生成"）。
|
||
channels_enabled = _enabled_channel_count(db_session)
|
||
push_skipped_no_channel = channels_enabled == 0
|
||
pushed = 0
|
||
if new_count > 0 and not dry_run:
|
||
if push_skipped_no_channel:
|
||
logger.info("推送出口缺失（notification_channels 启用数=0）→ 仅入库、不推送、不阻断（裁定 R4）")
|
||
else:
|
||
try:
|
||
from app.utils.notifier import push_pending_alerts
|
||
pushed = push_pending_alerts(db_session)
|
||
logger.info(f"推送完成: {pushed} 条")
|
||
except Exception as e:
|
||
logger.error(f"推送失败（不影响已入库预警，生成/推送解耦 R4）: {e}")
|
||
|
||
return {"period": cur_month, "dry_run": dry_run,
|
||
"period_source": st.get("period_source"), "period_fixed": st.get("period_fixed"),
|
||
"periods_used": st.get("periods_used", {}),
|
||
"new_alerts": new_count, "pushed": pushed,
|
||
# R4：推送出口（生成/推送解耦证据）
|
||
"channels_enabled": channels_enabled,
|
||
"push_skipped_no_channel": push_skipped_no_channel,
|
||
"cleaned_green": cleaned, "rule_engine": rule_stats,
|
||
"coverage": coverage,
|
||
# 裁定2a 口径证据
|
||
"normalized": st.get("normalized", 0), "normalized_kpis": st.get("normalized_kpis", []),
|
||
"dimension_suspect": st.get("dimension_suspect", 0), "suspect_kpis": st.get("suspect_kpis", []),
|
||
# 期间/取值覆盖明细
|
||
"no_period": st.get("no_period", 0), "no_value": st.get("no_value", 0),
|
||
"skipped_existing": st.get("skipped_existing", 0), "planned": st.get("planned", []),
|
||
# 裁定 R1/R2/R3 口径证据
|
||
"excluded_demo_entities": st.get("excluded_demo_entities", []),
|
||
"skipped_demo_kpis": st.get("skipped_demo_kpis", 0),
|
||
"window_lower_period": st.get("window_lower_period"), "window_months": st.get("window_months"),
|
||
"out_of_window": st.get("out_of_window", 0), "out_of_window_kpis": st.get("out_of_window_kpis", []),
|
||
"skipped_pseudo_period": st.get("skipped_pseudo_period", 0),
|
||
"pseudo_period_kpis": st.get("pseudo_period_kpis", [])}
|
||
|
||
|
||
def coverage_note(result: dict) -> str:
|
||
"""汇总行追加提示：期间口径回落后显式说明「0 条 = 无数据可判」而非「确无触发」
|
||
|
||
2026-09-16 新增（项3）；2026-09-17 裁定2b 起追加「期间回落」明细。
|
||
"""
|
||
cov = result.get("coverage") or {}
|
||
parts = []
|
||
used = result.get("periods_used") or cov.get("periods_used") or {}
|
||
if used and cov.get("current_month") not in used:
|
||
parts.append(" | 期间回落(裁定2b): 当月(%s)无 KPI 值 → 按各 KPI 最近可用期间判定 %s"
|
||
% (cov.get("current_month"), used))
|
||
if cov.get("kpis_with_threshold_and_value") == 0:
|
||
parts.append(" | ⚠️ 当月(%s)无KPI值: 本次检查按最近可用期间判定（库内最新月期间 %s）→ 0 条不等于确无触发"
|
||
% (cov.get("current_month"), cov.get("latest_period_in_db")))
|
||
if result.get("dimension_suspect"):
|
||
parts.append(" | ⛔ 降级待核(疑似单位错配，不推送) %s 项: %s"
|
||
% (result["dimension_suspect"], (result.get("suspect_kpis") or [])[:3]))
|
||
if result.get("normalized"):
|
||
parts.append(" | 口径归一 ×100 %s 项" % result["normalized"])
|
||
# 裁定 R1/R2/R3/R4（2026-09-19）证据
|
||
if result.get("skipped_demo_kpis"):
|
||
parts.append(" | R1 排除 demo 账套 %s（跳过 KPI %s 项）"
|
||
% (result.get("excluded_demo_entities"), result["skipped_demo_kpis"]))
|
||
if result.get("out_of_window"):
|
||
parts.append(" | R2 窗口(下限 %s)外不新生成 %s 项"
|
||
% (result.get("window_lower_period"), result["out_of_window"]))
|
||
if result.get("skipped_pseudo_period"):
|
||
parts.append(" | R3 伪期间跳过 %s 项" % result["skipped_pseudo_period"])
|
||
if result.get("push_skipped_no_channel"):
|
||
parts.append(" | R4 推送出口缺失(启用渠道 %s) → 仅入库、不阻断"
|
||
% result.get("channels_enabled"))
|
||
return "".join(parts)
|
||
|
||
|
||
if __name__ == "__main__":
|
||
import argparse
|
||
|
||
ap = argparse.ArgumentParser(description="预警生成与推送（2026-09-17 口径裁定 2a/2b）")
|
||
ap.add_argument("--dry-run", action="store_true", help="只计算不写库不推送（抽查复核/放行前证据）")
|
||
ap.add_argument("--period", default=None, help="固定判定期间 YYYY-MM（缺省=各 KPI 最近可用期间，裁定2b）")
|
||
ap.add_argument("--json", action="store_true", help="JSON 输出完整证据（含将生成的预警清单）")
|
||
args = ap.parse_args()
|
||
|
||
logging.basicConfig(
|
||
level=logging.INFO,
|
||
format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
|
||
)
|
||
|
||
db = get_session_local()()
|
||
try:
|
||
result = generate_and_push(db, period=args.period, dry_run=args.dry_run)
|
||
if args.json:
|
||
print(json.dumps(result, ensure_ascii=False, indent=1, default=str))
|
||
else:
|
||
print(f"预警检查{'（dry-run 零写入零推送）' if args.dry_run else ''}: "
|
||
f"{result['new_alerts']}条新预警 / {result['pushed']}条已推送"
|
||
f" / 规则引擎{result['rule_engine']}{coverage_note(result)}")
|
||
finally:
|
||
db.close()
|
||
|