172 lines
5.6 KiB
Python
172 lines
5.6 KiB
Python
#!/usr/bin/env python3
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"""
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自动经营分析报告生成脚本 — ChatBI优化P1
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用途:
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1. 定时触发:cron每周五17:00调用 python3 scripts/generate_report.py --type weekly
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2. 定时触发:cron每月1日09:00调用 python3 scripts/generate_report.py --type monthly
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3. 事件触发:python3 scripts/generate_report.py --type special --alert-ref 123
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4. 手动触发:python3 scripts/generate_report.py --type weekly
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推送通道:
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复用现有AI简报的企微推送通道(app/utils/notifier.py)
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"""
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import sys
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import os
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import json
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import argparse
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import logging
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sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from dotenv import load_dotenv
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load_dotenv('/root/cma-management/backend/.env')
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from app.database import get_session_local
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
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)
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logger = logging.getLogger("cma.report_gen")
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def generate_and_push(report_type: str, trigger_type: str = "manual", alert_ref: str = None) -> dict:
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"""生成报告并通过企微推送"""
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import httpx
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from datetime import datetime
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api_base = os.getenv("CMA_API_BASE", "http://127.0.0.1:8010")
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api_url = f"{api_base}/api/cma/reports/generate"
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payload = {
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"report_type": report_type,
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"trigger_type": trigger_type,
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}
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if alert_ref:
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payload["alert_ref"] = alert_ref
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try:
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# 调用 CMA 系统 API 生成报告
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resp = httpx.post(
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api_url,
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json=payload,
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timeout=30,
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)
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resp.raise_for_status()
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result = resp.json()
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logger.info(f"报告生成成功: type={report_type}, id={result.get('id')}")
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except Exception as e:
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logger.error(f"报告生成API调用失败: {e}")
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return {"success": False, "error": str(e)}
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# 推送到企微(复用现有通知通道)
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markdown = result.get("markdown", "")
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title = result.get("title", f"经营分析报告")
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if not markdown:
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logger.warning("报告内容为空,跳过推送")
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return {"success": True, "pushed": 0, "report_id": result.get("id")}
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# 通过系统通知通道推送
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db = get_session_local()()
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try:
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from app.models import NotificationChannel
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from app.utils.notifier import send_wecom_app
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channels = db.query(NotificationChannel).filter(
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NotificationChannel.enabled == True,
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NotificationChannel.channel_type == "wecom_app",
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).all()
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# 也推送到机器人 webhook
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robot_channels = db.query(NotificationChannel).filter(
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NotificationChannel.enabled == True,
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NotificationChannel.channel_type == "wecom",
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).all()
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pushed = 0
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for ch in channels + robot_channels:
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config = ch.config or {}
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if ch.channel_type == "wecom_app":
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result_push = send_wecom_app(
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corp_id=config.get("corp_id", ""),
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corp_secret=config.get("corp_secret", ""),
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agent_id=config.get("agent_id", ""),
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touser=config.get("touser", "@all"),
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title=title,
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content=markdown,
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alert_level="green",
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)
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elif ch.channel_type == "wecom":
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from app.utils.notifier import send_wecom_robot
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webhook = config.get("webhook_url", "")
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if webhook:
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result_push = send_wecom_robot(
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webhook_url=webhook,
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title=title,
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content=markdown,
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alert_level="green",
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)
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else:
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continue
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else:
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continue
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if result_push.get("success"):
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pushed += 1
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logger.info(f"报告推送成功: {ch.name}")
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# 更新报告状态
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from app.models import ReportHistory
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record = db.query(ReportHistory).filter(
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ReportHistory.id == result.get("id")
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).first()
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if record:
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record.status = "pushed"
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db.commit()
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logger.info(f"报告推送完成: {pushed} 个渠道")
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return {
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"success": True,
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"pushed": pushed,
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"report_id": result.get("id"),
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"title": title,
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"markdown_length": len(markdown),
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}
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except Exception as e:
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logger.error(f"报告推送异常: {e}")
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return {"success": False, "error": str(e), "report_id": result.get("id")}
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finally:
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db.close()
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def main():
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parser = argparse.ArgumentParser(description="自动经营分析报告生成")
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parser.add_argument("--type", choices=["weekly", "monthly", "special"],
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default="weekly", help="报告类型")
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parser.add_argument("--trigger", choices=["manual", "scheduled", "event"],
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default="manual", help="触发方式")
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parser.add_argument("--alert-ref", type=str, default=None,
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help="事件触发时的预警ID")
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parser.add_argument("--no-push", action="store_true",
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help="仅生成不推送")
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args = parser.parse_args()
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logger.info(f"开始生成报告: type={args.type}, trigger={args.trigger}")
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result = generate_and_push(
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report_type=args.type,
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trigger_type=args.trigger,
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alert_ref=args.alert_ref,
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)
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print(json.dumps(result, ensure_ascii=False, indent=2))
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if not result.get("success"):
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sys.exit(1)
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if __name__ == "__main__":
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main()
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