Hermes CI Fix
59e65a68b9
F1 两处 KPIAlert 显式写 entity_id（列默认 1 → 博海预警错挂酣客）；顺带修 deviation_engine/ alert_generator/deviation_push/bot_bridge/bot_bridge_v2 同表创建点 F2 KPI 选择实体感知：候选码 ∪ 实体前缀后缀码（_AR_BALANCE/_CASH_BALANCE/_AP_BALANCE） + 兜底 ORDER BY id（此前命中 uk_entity_kpi 必中 BH_ADM_EXPENSE 437 管理费用） F3 去重命中改为刷新 alert_message/等级/suggestion.days_late/归属（此前 continue → 文本冻结首版） F4 余额快照批次（bohai_*_20260630 / receivables_migrate）开关：默认 skip 不逐户，另备 aggregate(按批次聚合1条) / per_customer(旧行为) F5 POST /api/cma/admin/alerts/check 补鉴权（无 token 401）+ 可选 entity_id 只跑指定账套
910 lines
37 KiB
Python
910 lines
37 KiB
Python
"""现金流预测引擎 — 根据历史KPI数据推算未来30天现金流"""
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import logging
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import os
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from datetime import datetime, timedelta
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from typing import Optional, TYPE_CHECKING
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from sqlalchemy.orm import Session
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import math
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import random
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if TYPE_CHECKING:
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from app.models import KPIDefinition
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logger = logging.getLogger("cma.cash_forecast")
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# 默认现金阈值（万元）
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DEFAULT_CASH_WARNING = 20.0 # 黄灯 — 低于20万
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DEFAULT_CASH_CRITICAL = 10.0 # 红灯 — 低于10万
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# 历史KPI编码映射（含候选编码，兼容F_*标准编码）
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KPI_CODES = {
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"operating_cash_flow": "CASH_FLOW_001", # 经营现金流
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"receivables": "AR_001", # 应收账款
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"payables": "AP_001", # 应付账款
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"cash_balance": "CASH_001", # 现金余额
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}
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# 候选编码列表 — 依次尝试，找不到则回退
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KPI_CODE_CANDIDATES = {
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"operating_cash_flow": ["CASH_FLOW_001", "F_OP_CFLOW", "F_REVENUE"],
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"receivables": ["AR_001", "F_AR_DAYS", "C_AR_BALANCE"],
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"payables": ["AP_001", "F_AP_DAYS"],
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"cash_balance": ["CASH_001", "CASH_BALANCE", "F_CASH"],
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}
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# 实体前缀码后缀模式（F2 实体感知 2026-09-13）——标准码全部未命中时，
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# 按后缀匹配「该实体自己的编码」（博海口径 BH_AR_BALANCE/BH_CASH_BALANCE/BH_AP_BALANCE）。
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# 修复前：博海一条候选都不命中 → 走无 ORDER BY 的兜底 first() →
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# 命中 uk_entity_kpi 索引时取字典序最小的 BH_ADM_EXPENSE(437 管理费用)，即"应收预警挂管理费用"。
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KPI_CODE_SUFFIXES = {
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"operating_cash_flow": [], # 无实体前缀变体
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"receivables": ["_AR_BALANCE"], # 博海 BH_AR_BALANCE(433)
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"payables": ["_AP_BALANCE"], # 博海 BH_AP_BALANCE(441)
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"cash_balance": ["_CASH_BALANCE"], # 博海 BH_CASH_BALANCE(434)
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}
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# ── 余额快照批次（F4，2026-09-13）────────────────────────────
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# 这些 source 是「期末余额导入」批次：plan_date 是**导入基准日**（如 2026-06-30 期末），
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# 不是真实到期日 → 逐户生成"到期未收款"会永远 overdue，属伪逾期（DAMA 审计 fin-alert-flood-e2）。
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BALANCE_SNAPSHOT_SOURCES = {
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"bohai_ar_20260630",
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"bohai_ap_20260630",
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"bohai_prepay_20260630",
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"receivables_migrate",
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}
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# 处理开关：per_customer(逐户，旧行为) / skip(不生成逐户，默认) / aggregate(按批次聚合1条)
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_SNAPSHOT_MODE_DEFAULT = "skip"
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_SNAPSHOT_MODES = ("per_customer", "skip", "aggregate")
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def get_balance_snapshot_mode() -> str:
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"""余额快照批次处理模式（环境变量 CMA_CASH_SNAPSHOT_MODE 可覆盖，非法值回落默认）
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- per_customer: 旧行为，逐户生成到期未收款预警
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- skip : 默认。批次行不生成逐户预警（口径待任总拍板）
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- aggregate : 按批次聚合 1 条预警（如"应收逾期210户 合计198.27万"）挂应收 KPI
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"""
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mode = (os.environ.get("CMA_CASH_SNAPSHOT_MODE") or "").strip().lower()
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return mode if mode in _SNAPSHOT_MODES else _SNAPSHOT_MODE_DEFAULT
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def get_balance_snapshot_sources() -> set:
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"""余额快照批次 source 集合（环境变量 CMA_CASH_SNAPSHOT_SOURCES 逗号分隔可追加/覆盖）"""
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env = (os.environ.get("CMA_CASH_SNAPSHOT_SOURCES") or "").strip()
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if env:
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return {s.strip() for s in env.split(",") if s.strip()}
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return set(BALANCE_SNAPSHOT_SOURCES)
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def find_kpi(db: Session, entity_id: int, codes: list, suffixes: Optional[list] = None) -> Optional["KPIDefinition"]:
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"""按候选编码列表查找KPI，返回第一个命中的（精确码优先 → 实体前缀后缀码 → None）
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F2(2026-09-13): 全部查询显式 ORDER BY id，保证确定性（不再依赖 MySQL 执行计划）。
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"""
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from app.models import KPIDefinition
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for code in codes:
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kpi = db.query(KPIDefinition).filter(
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KPIDefinition.kpi_code == code,
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KPIDefinition.entity_id == entity_id,
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).order_by(KPIDefinition.id.asc()).first()
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if kpi:
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return kpi
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if suffixes:
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rows = db.query(KPIDefinition).filter(
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KPIDefinition.entity_id == entity_id,
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).order_by(KPIDefinition.id.asc()).all()
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for suffix in suffixes:
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for row in rows:
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if (row.kpi_code or "").upper().endswith(suffix):
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return row
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return None
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def find_fallback_kpi(db: Session, entity_id: int) -> Optional["KPIDefinition"]:
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"""兜底 KPI（F2）：优先 finance 维度，其次任意；两种都带 ORDER BY id（确定性）
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修复前：`db.query(KPIDefinition).filter(entity_id==entity_id).first()` 无排序 →
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同一条件两种答案（idx_entity→318 / uk_entity_kpi→437）。
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"""
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from app.models import KPIDefinition
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kpi = db.query(KPIDefinition).filter(
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KPIDefinition.entity_id == entity_id,
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KPIDefinition.dimension == "finance",
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).order_by(KPIDefinition.id.asc()).first()
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if kpi:
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return kpi
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return db.query(KPIDefinition).filter(
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KPIDefinition.entity_id == entity_id,
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).order_by(KPIDefinition.id.asc()).first()
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def get_entity_kpi_history(entity_id: int, kpi_code: str, db: Session, limit_months: int = 6) -> list:
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"""获取实体某个KPI的历史值"""
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from app.models import KPIDefinition, KPIValue
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kpi = find_kpi(db, entity_id, [kpi_code])
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if not kpi:
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return []
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values = db.query(KPIValue).filter(
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KPIValue.kpi_id == kpi.id,
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KPIValue.actual_value.isnot(None),
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).order_by(KPIValue.period.desc()).limit(limit_months).all()
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return values
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def calc_trend(values: list) -> float:
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"""计算趋势系数 — 线性回归斜率 / 均值"""
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if len(values) < 2:
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return 0.0
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vals = [v.actual_value for v in values]
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n = len(vals)
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avg_x = (n - 1) / 2.0
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avg_y = sum(vals) / n
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num = sum((i - avg_x) * (vals[i] - avg_y) for i in range(n))
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den = sum((i - avg_x) ** 2 for i in range(n))
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slope = num / den if den != 0 else 0
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return slope / max(abs(avg_y), 1.0) * 100 # 趋势百分比
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def get_current_cash_balance(db: Session, entity_id: int) -> Optional[float]:
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"""获取当前现金余额（万元）— 优先级：KPI实际值 > SystemConfig > None"""
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from app.models import SystemConfig, KPIValue
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kpi = find_kpi(db, entity_id, KPI_CODE_CANDIDATES["cash_balance"])
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if kpi:
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latest_cash = db.query(KPIValue).filter(
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KPIValue.kpi_id == kpi.id,
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KPIValue.actual_value.isnot(None),
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).order_by(KPIValue.period.desc()).first()
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if latest_cash and latest_cash.actual_value is not None:
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return float(latest_cash.actual_value)
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cfg = db.query(SystemConfig).filter(
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SystemConfig.config_key == "cash.current_balance"
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).first()
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if cfg and cfg.config_value:
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try:
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return float(cfg.config_value)
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except Exception:
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pass
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return None
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def set_current_cash_balance(db: Session, value: float) -> float:
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"""设置当前现金余额（写入SystemConfig，供预测引擎使用）"""
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from app.models import SystemConfig
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cfg = db.query(SystemConfig).filter(
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SystemConfig.config_key == "cash.current_balance"
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).first()
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if cfg:
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cfg.config_value = str(value)
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else:
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cfg = SystemConfig(
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config_key="cash.current_balance",
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config_value=str(value),
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description="当前现金余额（万元），资金预测基线",
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)
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db.add(cfg)
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db.commit()
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return value
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def forecast_cash_flow(
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entity_id: int,
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db: Session,
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days: int = 30,
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current_cash: Optional[float] = None,
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) -> dict:
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"""
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预测未来30天现金流
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算法：
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1. 获取历史经营现金流、应收、应付趋势
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2. 推算每日现金流入/流出
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3. 生成每日预测值+置信区间
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"""
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from app.models import KPIDefinition, KPIValue
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# 获取当前现金余额
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if current_cash is None:
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base_cash = get_current_cash_balance(db, entity_id)
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if base_cash is None:
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base_cash = 30.0 # 默认假设30万
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else:
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base_cash = current_cash
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# 获取经营现金流历史
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ocf_history = get_entity_kpi_history(entity_id, KPI_CODE_CANDIDATES["operating_cash_flow"][0], db) or \
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get_entity_kpi_history(entity_id, KPI_CODE_CANDIDATES["operating_cash_flow"][1], db) or \
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get_entity_kpi_history(entity_id, KPI_CODE_CANDIDATES["operating_cash_flow"][2], db)
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ocf_trend = calc_trend(ocf_history)
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# 获取应收历史
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ar_history = get_entity_kpi_history(entity_id, KPI_CODE_CANDIDATES["receivables"][0], db) or \
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get_entity_kpi_history(entity_id, KPI_CODE_CANDIDATES["receivables"][1], db)
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ar_trend = calc_trend(ar_history)
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# 获取应付历史
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ap_history = get_entity_kpi_history(entity_id, KPI_CODE_CANDIDATES["payables"][0], db) or \
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get_entity_kpi_history(entity_id, KPI_CODE_CANDIDATES["payables"][1], db)
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ap_trend = calc_trend(ap_history)
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# 计算日均现金变化
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ocf_avg = sum(v.actual_value for v in ocf_history) / max(len(ocf_history), 1) / 30.0 if ocf_history else 0.5
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# 预测逻辑：趋势影响 + 季节性（月底回款高峰）
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forecast = []
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cash = base_cash
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today = datetime.now().replace(hour=0, minute=0, second=0, microsecond=0)
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for day_offset in range(1, days + 1):
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d = today + timedelta(days=day_offset)
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day_of_month = d.day
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is_month_end = day_of_month >= 25
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# 每日现金变化 = 经营现金流日均值 × (1 + 趋势调整) + 季节因子
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trend_factor = 1.0 + ocf_trend / 100.0
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daily_change = ocf_avg * trend_factor
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# 月底回款高峰
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if is_month_end:
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daily_change += ocf_avg * 0.3 # 月底多30%回款
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# 周末效应
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if d.weekday() >= 5:
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daily_change *= 0.5 # 周末收支减半
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cash += daily_change
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# 置信区间：随时间增加而扩大
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confidence_band = 1.0 + day_offset * 0.08 # 每过1天，区间扩大8%
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std = max(abs(daily_change) * confidence_band, 0.5)
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lower = cash - std * 0.5
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upper = cash + std * 0.5
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# 预警状态
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if cash < DEFAULT_CASH_CRITICAL:
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status = "red"
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elif cash < DEFAULT_CASH_WARNING:
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status = "yellow"
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else:
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status = "green"
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forecast.append({
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"date": d.strftime("%Y-%m-%d"),
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"day_offset": day_offset,
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"predicted_cash": round(cash, 2),
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"lower_bound": round(max(lower, 0), 2),
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"upper_bound": round(upper, 2),
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"alert_status": status,
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})
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# 整体预警
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min_cash = min(f["predicted_cash"] for f in forecast)
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min_date = next(f["date"] for f in forecast if f["predicted_cash"] == min_cash)
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suggestions = []
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if min_cash < DEFAULT_CASH_CRITICAL:
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suggestions.append({
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"type": "critical",
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"message": f"预计{min_date}现金余额降至{min_cash:.1f}万，低于警戒线{DEFAULT_CASH_CRITICAL}万",
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"actions": [
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"立即催收大额应收账款",
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"暂停非必要支出",
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"准备短期融资安排",
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]
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})
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elif min_cash < DEFAULT_CASH_WARNING:
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suggestions.append({
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"type": "warning",
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"message": f"预计{min_date}现金余额降至{min_cash:.1f}万，低于关注线{DEFAULT_CASH_WARNING}万",
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"actions": [
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"加快应收账款回款",
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"控制采购付款节奏",
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"评估短期现金流压力",
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]
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})
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return {
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"entity_id": entity_id,
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"base_cash": round(base_cash, 2),
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"days": days,
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"forecast": forecast,
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"min_cash": round(min_cash, 2),
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"min_cash_date": min_date,
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"trends": {
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"operating_cash_flow_trend_pct": round(ocf_trend, 2),
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"receivables_trend_pct": round(ar_trend, 2),
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"payables_trend_pct": round(ap_trend, 2),
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},
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"suggestions": suggestions,
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}
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def save_forecast_to_db(entity_id: int, forecast_data: dict, db: Session):
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"""将预测结果保存到数据库"""
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from app.models import CashForecast
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for f in forecast_data["forecast"]:
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forecast_date = datetime.strptime(f["date"], "%Y-%m-%d")
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cf = CashForecast(
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entity_id=entity_id,
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forecast_date=forecast_date,
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predicted_cash=f["predicted_cash"],
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lower_bound=f["lower_bound"],
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upper_bound=f["upper_bound"],
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alert_status=f["alert_status"],
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)
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db.add(cf)
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db.commit()
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def calculate_accuracy(entity_id: int, db: Session) -> list:
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"""计算预测准确率 — 对比上期预测 vs 本期实际"""
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from app.models import CashForecast, KPIDefinition, KPIValue
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# 获取实体最近的预测
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forecasts = db.query(CashForecast).filter(
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CashForecast.entity_id == entity_id,
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).order_by(CashForecast.forecast_date.desc()).limit(90).all()
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# 获取实际的现金余额KPI值
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cash_kpi = db.query(KPIDefinition).filter(
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KPIDefinition.kpi_code == KPI_CODES["cash_balance"],
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KPIDefinition.entity_id == entity_id,
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).first()
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if not cash_kpi or not forecasts:
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return []
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actuals = db.query(KPIValue).filter(
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KPIValue.kpi_id == cash_kpi.id,
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KPIValue.actual_value.isnot(None),
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).order_by(KPIValue.period.desc()).limit(12).all()
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actual_map = {}
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for a in actuals:
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try:
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# period like "2026-07" -> month approx
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actual_map[a.period] = a.actual_value
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except:
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pass
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# 按月汇总预测值和实际值，计算准确率
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from collections import defaultdict
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monthly_forecast = defaultdict(list)
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for f in forecasts:
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month_key = f.forecast_date.strftime("%Y-%m")
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monthly_forecast[month_key].append(f.predicted_cash)
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results = []
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for month, f_vals in sorted(monthly_forecast.items()):
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if month in actual_map:
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f_avg = sum(f_vals) / len(f_vals)
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a_val = actual_map[month]
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mae = abs(f_avg - a_val)
|
||
mape = abs((f_avg - a_val) / max(abs(a_val), 1)) * 100
|
||
results.append({
|
||
"period": month,
|
||
"forecast_value": round(f_avg, 2),
|
||
"actual_value": round(a_val, 2),
|
||
"mae": round(mae, 2),
|
||
"mape": round(mape, 2),
|
||
})
|
||
|
||
return results
|
||
|
||
|
||
def generate_scenario_suggestion(alert_type: str, kpi_name: str, extra: dict = None) -> dict:
|
||
"""根据预警类型生成情景建议"""
|
||
extra = extra or {}
|
||
suggestions = {
|
||
"cash_low": {
|
||
"title": "现金流紧张缓解方案",
|
||
"description": f"现金余额低于阈值，建议加快应收账款催收、控制支出、评估短期融资。",
|
||
"actions": [
|
||
f"催收大额应收账款（预计回款{extra.get('expected_receivables', '待定')}万元）",
|
||
"暂停非紧急采购和资本性支出",
|
||
"与供应商协商延长账期",
|
||
"评估银行短期授信额度",
|
||
],
|
||
"priority": "high",
|
||
},
|
||
"cash_critical": {
|
||
"title": "现金流危机应对方案",
|
||
"description": f"现金余额接近断流，需立即采取紧急措施。",
|
||
"actions": [
|
||
"立即催收所有到期应收账款",
|
||
"暂停所有非必要支出",
|
||
"紧急联系银行安排短期贷款",
|
||
"评估资产变现可能性",
|
||
],
|
||
"priority": "high",
|
||
},
|
||
"cost_high": {
|
||
"title": "成本管控优化方案",
|
||
"description": f"成本率异常偏高，建议进行成本结构分析和优化。",
|
||
"actions": [
|
||
"逐项分析成本构成，识别异常项",
|
||
"与供应商重新谈判采购价格",
|
||
"评估流程优化降本空间",
|
||
"建立费用审批红线上限",
|
||
],
|
||
"priority": "medium",
|
||
},
|
||
"revenue_drop": {
|
||
"title": "收入下滑应对方案",
|
||
"description": f"收入出现下滑趋势，建议分析原因并制定恢复计划。",
|
||
"actions": [
|
||
"分析收入下滑原因（客户流失/价格战/需求变化）",
|
||
"制定客户留存和挽回计划",
|
||
"评估新产品/新市场机会",
|
||
"优化销售激励政策",
|
||
],
|
||
"priority": "high",
|
||
},
|
||
}
|
||
|
||
sug = suggestions.get(alert_type, {
|
||
"title": "改善建议",
|
||
"description": "根据预警情况制定改善措施。",
|
||
"actions": ["分析预警原因", "制定改善计划", "跟踪执行效果"],
|
||
"priority": "medium",
|
||
})
|
||
|
||
if extra:
|
||
sug["extra"] = extra
|
||
return sug
|
||
|
||
|
||
# ══════════════════════════════════════════════════════════════
|
||
# 资金缺口预测 — 趋势引擎 + 收付款计划叠加 (资金管理智能体)
|
||
# ══════════════════════════════════════════════════════════════
|
||
|
||
def get_cash_plans(db: Session, entity_id: int, start_date: datetime, end_date: datetime) -> list:
|
||
"""获取指定日期范围内的待执行收付款计划"""
|
||
from app.models import CashPlan
|
||
return db.query(CashPlan).filter(
|
||
CashPlan.entity_id == entity_id,
|
||
CashPlan.status == "pending",
|
||
CashPlan.plan_date >= start_date,
|
||
CashPlan.plan_date <= end_date,
|
||
).order_by(CashPlan.plan_date.asc()).all()
|
||
|
||
|
||
def _budget_monthly_ocf(db: Session, entity_id: int) -> Optional[float]:
|
||
"""获取本月经营现金流预算（万元/月），用于校准预测基线"""
|
||
from app.models import BudgetPlan
|
||
kpi = find_kpi(db, entity_id, KPI_CODE_CANDIDATES["operating_cash_flow"])
|
||
if not kpi:
|
||
return None
|
||
month_key = datetime.now().strftime("%Y-%m")
|
||
bp = db.query(BudgetPlan).filter(
|
||
BudgetPlan.kpi_id == kpi.id,
|
||
BudgetPlan.period == month_key,
|
||
BudgetPlan.status == "active",
|
||
).order_by(BudgetPlan.version.desc()).first()
|
||
if bp and bp.budget_value is not None:
|
||
return float(bp.budget_value)
|
||
return None
|
||
|
||
|
||
def forecast_cash_flow_with_plans(
|
||
entity_id: int,
|
||
db: Session,
|
||
days: int = 30,
|
||
current_cash: Optional[float] = None,
|
||
warning_line: float = DEFAULT_CASH_WARNING,
|
||
critical_line: float = DEFAULT_CASH_CRITICAL,
|
||
include_plans: bool = True,
|
||
) -> dict:
|
||
"""
|
||
资金缺口预测 — 在趋势预测基础上叠加收付款计划：
|
||
1. 趋势引擎生成基线预测
|
||
2. 叠加 cash_plans 的应收(收) / 应付(付)
|
||
3. 识别资金缺口日期（余额 < 警戒线）
|
||
4. 生成缺口前3天预警点
|
||
"""
|
||
from collections import defaultdict
|
||
from app.models import CashPlan
|
||
|
||
base = forecast_cash_flow(entity_id, db, days, current_cash)
|
||
base_cash = base["base_cash"]
|
||
|
||
# 预算校准：本月经营现金流预算优先作为基线（万元/月）
|
||
budget_ocf = _budget_monthly_ocf(db, entity_id)
|
||
if budget_ocf is not None:
|
||
base["trends"]["budget_monthly_ocf"] = round(budget_ocf, 2)
|
||
|
||
# ── 收付款计划加载 ──
|
||
today = datetime.now().replace(hour=0, minute=0, second=0, microsecond=0)
|
||
end = today + timedelta(days=days)
|
||
plan_map = defaultdict(lambda: {"in": 0.0, "out": 0.0, "items": []})
|
||
plans = []
|
||
if include_plans:
|
||
plans = get_cash_plans(db, entity_id, today, end + timedelta(days=1))
|
||
for p in plans:
|
||
dkey = p.plan_date.strftime("%Y-%m-%d")
|
||
item = {
|
||
"id": p.id,
|
||
"amount": round(p.amount, 2),
|
||
"counterparty": p.counterparty or "",
|
||
"description": p.description or "",
|
||
}
|
||
if p.plan_type == "receive":
|
||
plan_map[dkey]["in"] += p.amount
|
||
plan_map[dkey]["items"].append({"type": "receive", **item})
|
||
else:
|
||
plan_map[dkey]["out"] += p.amount
|
||
plan_map[dkey]["items"].append({"type": "pay", **item})
|
||
|
||
# ── 逐日重算余额 ──
|
||
forecast = []
|
||
cash = base_cash
|
||
prev_predicted = base_cash
|
||
for i, f in enumerate(base["forecast"]):
|
||
dkey = f["date"]
|
||
# 趋势日净变化（与上一天预测值的差）
|
||
trend_delta = f["predicted_cash"] - prev_predicted
|
||
prev_predicted = f["predicted_cash"]
|
||
|
||
pin = round(plan_map[dkey]["in"], 2)
|
||
pout = round(plan_map[dkey]["out"], 2)
|
||
# 预算校准：有月度预算时用预算日均替代纯趋势增量
|
||
if budget_ocf is not None:
|
||
trend_delta = budget_ocf / 30.0
|
||
if f["day_offset"] % 7 in (5, 6):
|
||
trend_delta *= 0.5 # 周末减半
|
||
if dkey[-2:] >= "25":
|
||
trend_delta *= 1.3 # 月底回款高峰
|
||
|
||
cash = round(cash + trend_delta + pin - pout, 2)
|
||
net_flow = round(trend_delta + pin - pout, 2)
|
||
|
||
if cash < critical_line:
|
||
status = "red"
|
||
elif cash < warning_line:
|
||
status = "yellow"
|
||
else:
|
||
status = "green"
|
||
|
||
forecast.append({
|
||
"date": dkey,
|
||
"day_offset": f["day_offset"],
|
||
"predicted_cash": cash,
|
||
"planned_in": pin,
|
||
"planned_out": pout,
|
||
"trend_delta": round(trend_delta, 2),
|
||
"net_flow": net_flow,
|
||
"lower_bound": round(max(cash - abs(net_flow) * 0.5 - 0.5, 0), 2),
|
||
"upper_bound": round(cash + abs(net_flow) * 0.5 + 0.5, 2),
|
||
"alert_status": status,
|
||
"gap": cash < warning_line,
|
||
"plans": plan_map[dkey]["items"],
|
||
})
|
||
|
||
# ── 资金缺口日期 ──
|
||
gap_dates = [
|
||
{"date": f["date"], "predicted_cash": f["predicted_cash"],
|
||
"gap_amount": round(warning_line - f["predicted_cash"], 2),
|
||
"level": "red" if f["predicted_cash"] < critical_line else "yellow"}
|
||
for f in forecast if f["gap"]
|
||
]
|
||
|
||
# ── 缺口前3天预警（每个连续缺口区间只预警一次，取区间首日） ──
|
||
pre_alerts = []
|
||
prev_was_gap = False
|
||
for idx, f in enumerate(forecast):
|
||
is_gap = f["gap"]
|
||
gap_run_start = is_gap and not prev_was_gap
|
||
prev_was_gap = is_gap
|
||
if not gap_run_start:
|
||
continue
|
||
# 找到该连续缺口区间的最后一天及区间内最低余额（最严重时点）
|
||
run_end = forecast[idx]
|
||
run_min = forecast[idx]["predicted_cash"]
|
||
run_min_date = forecast[idx]["date"]
|
||
for j in range(idx + 1, len(forecast)):
|
||
if forecast[j]["gap"]:
|
||
run_end = forecast[j]
|
||
if forecast[j]["predicted_cash"] < run_min:
|
||
run_min = forecast[j]["predicted_cash"]
|
||
run_min_date = forecast[j]["date"]
|
||
else:
|
||
break
|
||
for lead in (3, 1): # 缺口前3天(主要)、前1天(紧急)
|
||
pre_idx = idx - lead
|
||
if pre_idx < 0:
|
||
continue
|
||
pf = forecast[pre_idx]
|
||
if pf["alert_status"] == "green" or lead == 3:
|
||
pre_alerts.append({
|
||
"alert_date": pf["date"],
|
||
"alert_offset": pf["day_offset"],
|
||
"gap_date": f["date"],
|
||
"gap_cash": f["predicted_cash"],
|
||
"gap_amount": round(warning_line - f["predicted_cash"], 2),
|
||
"worst_cash": round(run_min, 2),
|
||
"worst_date": run_min_date,
|
||
"lead_days": lead,
|
||
"level": "red" if run_min < critical_line else "yellow",
|
||
})
|
||
break
|
||
|
||
# 到期未收款（逾期）
|
||
overdue_receives = db.query(CashPlan).filter(
|
||
CashPlan.entity_id == entity_id,
|
||
CashPlan.plan_type == "receive",
|
||
CashPlan.status == "pending",
|
||
CashPlan.plan_date < today,
|
||
).order_by(CashPlan.plan_date.asc()).all()
|
||
|
||
# 未来7天到期
|
||
upcoming_7d = db.query(CashPlan).filter(
|
||
CashPlan.entity_id == entity_id,
|
||
CashPlan.status == "pending",
|
||
CashPlan.plan_date >= today,
|
||
CashPlan.plan_date <= today + timedelta(days=7),
|
||
).order_by(CashPlan.plan_date.asc()).all()
|
||
|
||
# 整体结论
|
||
min_cash = min(f["predicted_cash"] for f in forecast) if forecast else base_cash
|
||
min_date = next((f["date"] for f in forecast if f["predicted_cash"] == min_cash), "")
|
||
|
||
suggestions = list(base.get("suggestions", []))
|
||
if gap_dates:
|
||
first_gap = gap_dates[0]
|
||
if first_gap["level"] == "red":
|
||
suggestions.insert(0, {
|
||
"type": "critical",
|
||
"message": f"预计{first_gap['date']}现金余额降至{first_gap['predicted_cash']:.1f}万，低于警戒线{warning_line:.0f}万，存在资金断流风险",
|
||
"actions": ["立即催收大额应收账款", "暂停非必要支出", "准备短期融资安排"],
|
||
})
|
||
else:
|
||
suggestions.insert(0, {
|
||
"type": "warning",
|
||
"message": f"预计{first_gap['date']}现金余额降至{first_gap['predicted_cash']:.1f}万，低于警戒线{warning_line:.0f}万",
|
||
"actions": ["加快应收账款回款", "控制采购付款节奏", "评估短期现金流压力"],
|
||
})
|
||
if overdue_receives:
|
||
total_overdue = sum(p.amount for p in overdue_receives)
|
||
suggestions.append({
|
||
"type": "warning",
|
||
"message": f"有{len(overdue_receives)}笔应收款到期未收，合计{total_overdue:.1f}万",
|
||
"actions": ["逐笔催收到期应收账款", "评估客户信用风险"],
|
||
})
|
||
|
||
return {
|
||
"entity_id": entity_id,
|
||
"base_cash": round(base_cash, 2),
|
||
"days": days,
|
||
"warning_line": warning_line,
|
||
"critical_line": critical_line,
|
||
"budget_monthly_ocf": budget_ocf,
|
||
"forecast": forecast,
|
||
"gap_dates": gap_dates,
|
||
"pre_alerts": pre_alerts,
|
||
"min_cash": round(min_cash, 2),
|
||
"min_cash_date": min_date,
|
||
"trends": base.get("trends", {}),
|
||
"suggestions": suggestions,
|
||
"summary": {
|
||
"total_planned_in": round(sum(p.amount for p in plans if p.plan_type == "receive"), 2),
|
||
"total_planned_out": round(sum(p.amount for p in plans if p.plan_type == "pay"), 2),
|
||
"plan_count": len(plans),
|
||
"overdue_receive_count": len(overdue_receives),
|
||
"overdue_receive_amount": round(sum(p.amount for p in overdue_receives), 2),
|
||
"upcoming_7d_count": len(upcoming_7d),
|
||
},
|
||
}
|
||
|
||
|
||
def check_cash_alerts(db: Session, entity_id: int = 1) -> dict:
|
||
"""资金预警 — 缺口前3天预警 + 到期未收款提醒，写入预警中心(kpi_alerts)
|
||
|
||
2026-09-13 修复（任务 dama-cashplan-alert-engine-fix-20260913 / DAMA 审计 fin-alert-flood-e2）：
|
||
F1 两处 KPIAlert 显式写 entity_id（此前不传 → 列默认值 1 → 博海预警错挂酣客工作台）
|
||
F2 KPI 选择实体感知（候选码 + 实体前缀后缀码）＋ 兜底显式 ORDER BY id
|
||
（此前博海走无排序兜底 → 命中 uk_entity_kpi 索引必中 BH_ADM_EXPENSE(437 管理费用)）
|
||
F3 去重命中时刷新文本/等级/逾期天数/归属（此前直接 continue → 金额与天数永久冻结在首版）
|
||
F4 余额快照批次行按开关处理（默认 skip，不再逐户生成伪"到期未收款"）
|
||
"""
|
||
import json as _json
|
||
from app.models import KPIAlert, CashPlan, KPIDefinition
|
||
|
||
result = forecast_cash_flow_with_plans(entity_id, db, days=30)
|
||
new_alerts = []
|
||
refreshed = []
|
||
snapshot_skipped = []
|
||
snapshot_mode = get_balance_snapshot_mode()
|
||
snapshot_sources = get_balance_snapshot_sources()
|
||
|
||
# 兜底KPI（F2）：现金KPI → 经营现金流KPI → 该实体 finance 维度首个（全部 ORDER BY id，确定性）
|
||
kpi = find_kpi(db, entity_id, KPI_CODE_CANDIDATES["cash_balance"], KPI_CODE_SUFFIXES["cash_balance"]) or \
|
||
find_kpi(db, entity_id, KPI_CODE_CANDIDATES["operating_cash_flow"], KPI_CODE_SUFFIXES["operating_cash_flow"]) or \
|
||
find_fallback_kpi(db, entity_id)
|
||
ar_kpi = find_kpi(db, entity_id, KPI_CODE_CANDIDATES["receivables"], KPI_CODE_SUFFIXES["receivables"]) or kpi
|
||
|
||
def _exists(msg: str) -> bool:
|
||
return db.query(KPIAlert).filter(
|
||
KPIAlert.entity_id == entity_id,
|
||
KPIAlert.alert_message == msg,
|
||
KPIAlert.status.in_(["pending", "processing"]),
|
||
).first() is not None
|
||
|
||
def _to_dict(raw) -> dict:
|
||
try:
|
||
d = _json.loads(raw) if raw else {}
|
||
except Exception:
|
||
d = {}
|
||
return d if isinstance(d, dict) else {}
|
||
|
||
def _refresh(existing, kpi_id: int, level: str, msg: str, suggestion: str) -> bool:
|
||
"""F3: 按现值刷新已存在的预警（归属/文本/等级/建议），返回是否发生变化"""
|
||
changed = False
|
||
if existing.entity_id != entity_id:
|
||
existing.entity_id = entity_id
|
||
changed = True
|
||
if existing.kpi_id != kpi_id:
|
||
existing.kpi_id = kpi_id
|
||
changed = True
|
||
if existing.alert_level != level:
|
||
existing.alert_level = level
|
||
changed = True
|
||
if existing.alert_message != msg[:500]:
|
||
existing.alert_message = msg[:500]
|
||
changed = True
|
||
if existing.suggestion != suggestion:
|
||
existing.suggestion = suggestion
|
||
changed = True
|
||
return changed
|
||
|
||
# ── 1. 缺口前3天预警 ──
|
||
if kpi:
|
||
for pre in result["pre_alerts"]:
|
||
level = pre["level"]
|
||
msg = (f"【资金缺口预警】预计{pre['gap_date']}现金余额降至{pre['gap_cash']:.1f}万"
|
||
f"（低于警戒线{result['warning_line']:.0f}万，缺口{pre['gap_amount']:.1f}万），"
|
||
f"请于{pre['alert_date']}前（提前{pre['lead_days']}天）安排资金")
|
||
if _exists(msg):
|
||
continue
|
||
alert = KPIAlert(
|
||
entity_id=entity_id, # F1: 此前未传 → 列默认值 1
|
||
kpi_id=kpi.id,
|
||
alert_level=level,
|
||
alert_message=msg[:500],
|
||
alert_type="forecast",
|
||
status="pending",
|
||
suggestion=_json.dumps({
|
||
"actions": ["加快应收账款回款", "控制付款节奏", "评估短期融资"],
|
||
"gap_date": pre["gap_date"],
|
||
"gap_amount": pre["gap_amount"],
|
||
}, ensure_ascii=False),
|
||
)
|
||
db.add(alert)
|
||
new_alerts.append({"type": "gap_forecast", "level": level, "message": msg})
|
||
logger.info(f"资金缺口预警: {msg}")
|
||
|
||
# ── 2. 到期未收款提醒 ──
|
||
if ar_kpi:
|
||
today = datetime.now().replace(hour=0, minute=0, second=0, microsecond=0)
|
||
overdue = db.query(CashPlan).filter(
|
||
CashPlan.entity_id == entity_id,
|
||
CashPlan.plan_type == "receive",
|
||
CashPlan.status == "pending",
|
||
CashPlan.plan_date < today,
|
||
).order_by(CashPlan.plan_date.asc()).all()
|
||
|
||
# F4: 余额快照批次（plan_date = 导入基准日，非真实到期日）单独处理
|
||
snapshot_rows = [p for p in overdue if (p.source or "") in snapshot_sources]
|
||
overdue = [p for p in overdue if (p.source or "") not in snapshot_sources]
|
||
|
||
# 去重索引一次建好（修复原逐行全表扫描），去重键 = suggestion.plan_id / suggestion.snapshot_source
|
||
existing_alerts = db.query(KPIAlert).filter(
|
||
KPIAlert.alert_type == "cash_plan",
|
||
KPIAlert.status.in_(["pending", "processing"]),
|
||
).all()
|
||
by_plan = {}
|
||
by_snapshot = {}
|
||
for ea in existing_alerts:
|
||
es = _to_dict(ea.suggestion)
|
||
if es.get("plan_id") is not None:
|
||
by_plan.setdefault(es["plan_id"], ea)
|
||
if es.get("snapshot_source"):
|
||
by_snapshot.setdefault(es["snapshot_source"], ea)
|
||
|
||
if snapshot_mode == "per_customer":
|
||
# 旧行为：批次行也逐户生成（仅显式切换时启用）
|
||
overdue = overdue + snapshot_rows
|
||
elif snapshot_mode == "skip":
|
||
if snapshot_rows:
|
||
snapshot_skipped = [{"plan_id": p.id, "source": p.source,
|
||
"amount": p.amount, "plan_date": str(p.plan_date)} for p in snapshot_rows]
|
||
logger.info(f"余额快照批次 {len(snapshot_rows)} 行按 skip 模式不生成逐户预警 "
|
||
f"(entity={entity_id}, mode={snapshot_mode})")
|
||
elif snapshot_mode == "aggregate":
|
||
grouped = {}
|
||
for p in snapshot_rows:
|
||
grouped.setdefault(p.source or "unknown", []).append(p)
|
||
for src, rows in sorted(grouped.items()):
|
||
total = sum((p.amount or 0) for p in rows)
|
||
oldest = min(p.plan_date for p in rows)
|
||
days_late = (today - oldest).days
|
||
level = "red" if days_late >= 7 else "yellow"
|
||
msg = (f"【到期未收款·批次汇总】{src} 应收逾期{len(rows)}户 合计{total:.2f}万 "
|
||
f"最早到期{oldest.strftime('%Y-%m-%d')}（{days_late}天）")
|
||
suggestion = _json.dumps({
|
||
"actions": ["核对应收台账", "按客户逐户催收", "确认批次到期口径"],
|
||
"snapshot_source": src,
|
||
"plan_count": len(rows),
|
||
"total_amount": round(total, 2),
|
||
"days_late": days_late,
|
||
}, ensure_ascii=False)
|
||
existing = by_snapshot.get(src)
|
||
if existing is not None:
|
||
if _refresh(existing, ar_kpi.id, level, msg, suggestion):
|
||
refreshed.append({"type": "overdue_snapshot", "snapshot_source": src,
|
||
"alert_id": existing.id, "message": msg})
|
||
continue
|
||
alert = KPIAlert(
|
||
entity_id=entity_id,
|
||
kpi_id=ar_kpi.id,
|
||
alert_level=level,
|
||
alert_message=msg[:500],
|
||
alert_type="cash_plan",
|
||
status="pending",
|
||
suggestion=suggestion,
|
||
)
|
||
db.add(alert)
|
||
new_alerts.append({"type": "overdue_snapshot", "level": level, "message": msg})
|
||
logger.info(f"到期未收款批次汇总: {msg}")
|
||
|
||
for p in overdue:
|
||
days_late = (today - p.plan_date).days
|
||
level = "red" if days_late >= 7 else "yellow"
|
||
msg = (f"【到期未收款】应收款{p.counterparty or '客户'} {p.amount:.1f}万 "
|
||
f"原计划{p.plan_date.strftime('%Y-%m-%d')}到期，已逾期{days_late}天")
|
||
suggestion = _json.dumps({
|
||
"actions": ["联系客户催收", "评估坏账风险", "调整信用政策"],
|
||
"plan_id": p.id,
|
||
"days_late": days_late,
|
||
}, ensure_ascii=False)
|
||
existing = by_plan.get(p.id)
|
||
if existing is not None:
|
||
# F3: 命中不 skip —— 按现值刷新金额/逾期天数/等级/归属
|
||
if _refresh(existing, ar_kpi.id, level, msg, suggestion):
|
||
refreshed.append({"type": "overdue_receive", "plan_id": p.id,
|
||
"alert_id": existing.id, "message": msg})
|
||
continue
|
||
alert = KPIAlert(
|
||
entity_id=entity_id, # F1: 此前未传 → 列默认值 1（错挂酣客工作台）
|
||
kpi_id=ar_kpi.id,
|
||
alert_level=level,
|
||
alert_message=msg[:500],
|
||
alert_type="cash_plan",
|
||
status="pending",
|
||
suggestion=suggestion,
|
||
)
|
||
db.add(alert)
|
||
new_alerts.append({"type": "overdue_receive", "level": level, "message": msg})
|
||
logger.info(f"到期未收款提醒: {msg}")
|
||
|
||
db.commit()
|
||
return {
|
||
"entity_id": entity_id,
|
||
"new_alerts": len(new_alerts),
|
||
"alerts": new_alerts,
|
||
"refreshed_alerts": len(refreshed),
|
||
"refreshed": refreshed,
|
||
"balance_snapshot": {
|
||
"mode": snapshot_mode,
|
||
"skipped_rows": len(snapshot_skipped),
|
||
"sources": sorted(snapshot_sources),
|
||
},
|
||
"kpi_selection": {
|
||
"ar_kpi_id": ar_kpi.id if ar_kpi else None,
|
||
"ar_kpi_code": ar_kpi.kpi_code if ar_kpi else None,
|
||
"cash_kpi_id": kpi.id if kpi else None,
|
||
"cash_kpi_code": kpi.kpi_code if kpi else None,
|
||
},
|
||
"gap_dates": result["gap_dates"],
|
||
"pre_alerts": result["pre_alerts"],
|
||
"summary": result["summary"],
|
||
}
|