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cma-management/backend/scripts/daily_push.py
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Hermes CI Fix ad68471b29 feat: 路线图R1决策建议一键落地+R2机会推送+R5预算闭环
R1(P0): AI建议一键应用到KPI/预算/行动方案
- 新表 ai_suggestions + AISuggestion 模型(init_db自动建)
- /api/cma/ai/suggestions CRUD + /{id}/apply(复用kpis/budget/action_plans) + dismiss
- 应用写 OperationLog(action=ai_suggestion_apply, detail含suggestion_id/before/after)
- 规则驱动建议生成 generate_rule_suggestions(低执行率/高执行率/预算超支/pending预警)
- 幂等: 同entity+type+target_id+title+unapplied不重复建; applied后拒绝重复应用
- 前端: Dashboard AI面板建议卡(应用到/忽略) + 建议中心页 /ai-suggestions

R2(P1): 数据找人扩大-机会类推送
- scripts/opportunity_detector.py: KPI向好(执行率>110%)/预算余量(<70%且actual>0)/预测上行
- scripts/daily_push.py: 异常+机会 每日9:15推企微(8800/send, --dry-run调试)
- crontab: 15 9 * * * (alert_generator 9:00之后)

R5(P0): 预算闭环加固
- auto-decompose批量幂等: 只取年度行(period=YYYY-00)+同KPI多版本取一行
- scripts/closed_loop_check.py: 预算执行率异常→检查现金流/行动同步→缺失提示+报告
- scripts/verify_decompose_idempotent.py: 幂等验证脚本

测试: test_ai_suggestions(10例)+test_roadmap_r2r5(14例); 修test_budget幂等契约适配年度行
全量: 673 passed
2026-08-30 12:05:36 +08:00

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"""每日数据找人推送 — 路线图R2 (2026-08-30)
北极星③:主动推送扩大 —— 异常 + 机会两类。
- 异常类:待处理预警(kpi_alerts pending
- 机会类:KPI向好 / 预算余量 / 预测上行(opportunity_detector
复用企微通道 8800/send(公司群中继服务)。
用法: /root/cma-management/backend/venv/bin/python3 scripts/daily_push.py [--dry-run]
cron: 15 9 * * * (alert_generator 9:00 之后)
"""
import sys
import os
import json
import logging
import argparse
from datetime import datetime
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 KPIDefinition, KPIAlert
from scripts.opportunity_detector import detect_all, flatten
logger = logging.getLogger("cma.daily_push")
RELAY_URL = "http://127.0.0.1:8800/send"
SOURCE = "管理会计OS"
def collect_exceptions(db, limit: int = 10) -> list:
"""异常类:待处理预警(red/yellow"""
out = []
alerts = db.query(KPIAlert).filter(
KPIAlert.status == "pending",
KPIAlert.alert_level.in_(["red", "yellow"]),
).order_by(KPIAlert.created_at.desc()).limit(limit).all()
for a in alerts:
k = db.query(KPIDefinition).filter(KPIDefinition.id == a.kpi_id).first()
kpi_name = k.kpi_name if k else f"KPI#{a.kpi_id}"
icon = "🔴" if a.alert_level == "red" else "🟡"
out.append({
"type": "exception",
"title": f"{icon} {kpi_name} 预警",
"detail": f"({a.alert_level}) {a.alert_message}",
"kpi_id": a.kpi_id,
"kpi_name": kpi_name,
"period": "",
})
return out
def build_message(exceptions: list, opportunities: list) -> str:
"""组装 markdown 推送内容"""
now = datetime.now().strftime("%Y-%m-%d %H:%M")
lines = [f"## 📊 管理会计OS · 每日经营播报", f"**{now}**", ""]
lines.append("### ⚠️ 异常关注")
if exceptions:
for e in exceptions:
lines.append(f"- {e['title']}")
lines.append(f" {e['detail']}")
else:
lines.append("- 今日无待处理预警 ✅")
lines.append("")
lines.append("### 🎯 机会发现")
if opportunities:
for o in opportunities:
lines.append(f"- {o['title']}")
lines.append(f" {o['detail']}")
else:
lines.append("- 今日暂无显著机会")
lines.append("")
lines.append("---")
lines.append("💡 数据找人:异常要处理,机会要把握。详情见 CMA 系统。")
return "\n".join(lines)
def push_wecom(msg: str) -> dict:
"""通过8800中继推送企微"""
import urllib.request
import urllib.parse
data = urllib.parse.urlencode({
"msg": msg,
"source": SOURCE,
"msgtype": "markdown",
}).encode("utf-8")
req = urllib.request.Request(RELAY_URL, data=data,
headers={"Content-Type": "application/x-www-form-urlencoded"})
try:
with urllib.request.urlopen(req, timeout=15) as resp:
result = json.loads(resp.read().decode("utf-8"))
return result
except Exception as e:
return {"ok": False, "error": f"推送异常: {e}"}
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--dry-run", action="store_true", help="只打印不推送")
parser.add_argument("--entity-id", type=int, default=1)
args = parser.parse_args()
db = get_session_local()()
try:
exceptions = collect_exceptions(db)
opportunities = flatten(detect_all(db, args.entity_id))
msg = build_message(exceptions, opportunities)
if args.dry_run:
print(msg)
print(f"\n[DRY-RUN] 异常{len(exceptions)}条 / 机会{len(opportunities)}条")
return
result = push_wecom(msg)
print(f"推送结果: {json.dumps(result, ensure_ascii=False)}")
print(f"统计: 异常{len(exceptions)}条 / 机会{len(opportunities)}条")
finally:
db.close()
if __name__ == "__main__":
logging.basicConfig(level=logging.INFO)
main()