#!/usr/bin/env python3 """预算偏差告警归因回填 —— yanxue-20260914-budget-p13p14-activation（P1-③ 激活） 两类动作（都在本进程内组装，不依赖线上服务是否已加载新代码）: 1) attribution 为空的历史告警 → 现算归因并落库（等价于现成接口 GET /budget/deviation-alerts/{id}/attribution 的组装逻辑，见 app/api/budget.py） 2) 已有旧口径归因的告警 → 用修正后的科目口径重算覆盖（旧值备份见 /root/WB_WS/_backups/p13p14-20260914/） 另: alert_type 为空 → 按 KPI 特征推断补上；scenario_id 为空且命中 scenario_suggestions → 补 scenario_id（让告警"能解释、能关"） 用法: /usr/bin/python3 scripts/kpi_alert_attribution_backfill.py # dry-run（只算不写） /usr/bin/python3 scripts/kpi_alert_attribution_backfill.py --apply # 落库 落库前置: cma_api 需对 budget_deviation_alerts 有 UPDATE 权限 （SHOW GRANTS 现状: 该表未在授权清单内 → 1142 UPDATE command denied）。 """ import json import os import sys from types import SimpleNamespace if __name__ == "__main__": sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) from app.database import get_session_local from app.models import BudgetDeviationAlert, KPIDefinition, KPIValueSource, ScenarioSuggestion from app.utils.alert_attribution import build_attribution, match_scenario OUT = "/tmp/budget-p13p14/attribution-conclusions.json" def mapping_status(db, kpi_id): src = db.query(KPIValueSource).filter( KPIValueSource.kpi_id == kpi_id, KPIValueSource.source_table == "voucher_details", ).order_by(KPIValueSource.status.asc()).first() return src.status if src else None def conclusion(alert, kpi, attribution, scenario, map_status): dims = attribution.get("dimensions") or [] subs = attribution.get("subjects") or [] trend = attribution.get("trend") or {} vtype = attribution.get("variance_type") hot = [s for s in subs if abs(s.get("amount_diff") or 0) > 0.01][:3] if hot: sub_txt = "; ".join( f"{s['subject_code']} {s.get('subject_name', '')} " f"{s['amount_diff']:+.2f}元(x{s.get('weight')})" for s in hot) depth = f"科目级({map_status or 'kpi_subject_map原口径'})" elif map_status: sub_txt = (f"科目明细为空/金额为0（映射={map_status}，当期凭证明细无该科目发生额）") depth = f"KPI级(映射={map_status})" else: sub_txt = "无取数映射（kpi_subject_map 科目未机械桥接到 voucher_details 科目）→ 仅 KPI 级结论" depth = "KPI级(无映射)" dim_txt = "; ".join( f"{d.get('kpi_name')} 偏差{d.get('deviation_value')}" for d in dims if d.get("deviation_value") is not None and abs(d["deviation_value"]) > 0.01) or "无下级KPI层级" trend_txt = (f"{trend.get('type')}({trend.get('message')})" if trend.get("anomaly") else "无连续3期异常") view = ( f"[{alert.id}] {kpi.kpi_code if kpi else alert.kpi_id} {kpi.kpi_name if kpi else ''} {alert.period}: " f"实际{alert.actual_value} vs 预算{alert.budget_value}（偏差{alert.deviation_rate}%, {alert.alert_level}）| " f"场景={alert.alert_type or '未分类'}{'(建议:' + scenario['title'] + ')' if scenario else ''} | " f"深度={depth} | 量价={vtype} | 主科目={sub_txt} | 子KPI={dim_txt} | 趋势={trend_txt}" ) return view, depth def main(): apply = "--apply" in sys.argv db = get_session_local()() try: alerts = db.query(BudgetDeviationAlert).filter( BudgetDeviationAlert.entity_id == 1).order_by(BudgetDeviationAlert.id).all() print(f"== 告警: {len(alerts)} 条（open {sum(1 for a in alerts if a.status == 'open')}）" f" | mode={'APPLY' if apply else 'DRY-RUN'}") filled, recomputed, type_filled, scenario_filled = 0, 0, 0, 0 lines = [] for a in alerts: kpi = db.query(KPIDefinition).filter(KPIDefinition.id == a.kpi_id).first() mstat = mapping_status(db, a.kpi_id) att, inferred = build_attribution(db, a.kpi_id, a.period, a.alert_type) had = a.attribution is not None if apply: if not had: a.attribution = att filled += 1 else: if (a.attribution or {}) != att: a.attribution = att recomputed += 1 if a.alert_type is None and inferred: a.alert_type = inferred type_filled += 1 eff_type = a.alert_type or inferred scenario = match_scenario(db, eff_type) if apply and scenario and a.scenario_id is None: a.scenario_id = scenario["scenario_id"] scenario_filled += 1 alert_copy = a if not apply: # 只读预览：不改 ORM 对象（避免 autoflush 落库） alert_copy = SimpleNamespace( id=a.id, kpi_id=a.kpi_id, period=a.period, status=a.status, alert_level=a.alert_level, budget_value=a.budget_value, actual_value=a.actual_value, deviation_rate=a.deviation_rate, deviation_value=a.deviation_value, alert_type=eff_type, scenario_id=a.scenario_id) view, depth = conclusion(alert_copy, kpi, att, scenario, mstat) lines.append({ "id": a.id, "kpi_id": a.kpi_id, "kpi_code": kpi.kpi_code if kpi else None, "kpi_name": kpi.kpi_name if kpi else None, "period": a.period, "status": a.status, "alert_level": a.alert_level, "budget_value": a.budget_value, "actual_value": a.actual_value, "deviation_rate": a.deviation_rate, "alert_type": eff_type, "scenario_id": a.scenario_id, "mapping_status": mstat, "depth": depth, "n_subjects": len(att.get("subjects") or []), "n_subject_moves": sum(1 for s in (att.get("subjects") or []) if abs(s.get("amount_diff") or 0) > 0.01), "variance_type": att.get("variance_type"), "had_attribution": had, "view": view, }) if apply: try: db.commit() except Exception as e: db.rollback() print(f"!! 落库失败（未写任何行）: {type(e).__name__}: {str(e)[:200]}") return 2 for row in lines: print(row["view"]) os.makedirs(os.path.dirname(OUT), exist_ok=True) with open(OUT, "w") as fh: json.dump(lines, fh, ensure_ascii=False, indent=1) print(f"\n== 结论落盘: {OUT} ({len(lines)} 条)") depths = {} for row in lines: depths[row["depth"]] = depths.get(row["depth"], 0) + 1 print(f"== 归因深度分布: {json.dumps(depths, ensure_ascii=False)}") opens = [r for r in lines if r["status"] == "open"] print(f"== open 告警有结论: {len(opens)}/{len(opens)}" f" | 其中科目级可解释: {sum(1 for r in opens if r['depth'].startswith('科目级'))}") if apply: n_attr = db.query(BudgetDeviationAlert).filter( BudgetDeviationAlert.entity_id == 1, BudgetDeviationAlert.attribution.isnot(None)).count() total = db.query(BudgetDeviationAlert).filter(BudgetDeviationAlert.entity_id == 1).count() n_scen = db.query(BudgetDeviationAlert).filter( BudgetDeviationAlert.entity_id == 1, BudgetDeviationAlert.scenario_id.isnot(None)).count() print(f"== 落库结果: attribution {n_attr}/{total} | scenario_id {n_scen} | " f"新填 {filled} / 重算 {recomputed} / 场景类型补全 {type_filled} / " f"场景建议补全 {scenario_filled}") else: print("== DRY-RUN: 未写库（落库需 --apply，且 cma_api 需 UPDATE 授权）") return 0 finally: db.close() if __name__ == "__main__": sys.exit(main())