16337
baa895a6f1
- 创建 FastAPI 项目结构 - 实现告警数据模型（SQLAlchemy） - 实现 multipart/form-data 告警接收接口 - 实现阿里云 OSS 图片上传模块 - 实现告警查询和处理 API - 实现异步大模型分析模块
55 lines
1.6 KiB
Python
55 lines
1.6 KiB
Python
import asyncio
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import httpx
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from typing import Optional
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from app.config import settings
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from app.utils.logger import logger
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class AIAnalyzer:
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def __init__(self):
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self.endpoint = settings.ai_model.endpoint
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self.api_key = settings.ai_model.api_key
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async def analyze_alert(
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self,
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alert_id: int,
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snapshot_url: str,
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alert_info: dict,
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) -> Optional[dict]:
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if not self.endpoint:
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logger.debug("AI模型端点未配置，跳过分析")
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return None
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try:
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async with httpx.AsyncClient(timeout=30.0) as client:
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response = await client.post(
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f"{self.endpoint}/analyze",
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json={
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"alert_id": alert_id,
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"snapshot_url": snapshot_url,
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"alert_info": alert_info,
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},
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headers={"Authorization": f"Bearer {self.api_key}"} if self.api_key else {},
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)
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response.raise_for_status()
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result = response.json()
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logger.info(f"AI分析完成: alert_id={alert_id}")
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return result
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except Exception as e:
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logger.error(f"AI分析失败: alert_id={alert_id}, error={e}")
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return None
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ai_analyzer = AIAnalyzer()
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async def trigger_async_analysis(alert_id: int, snapshot_url: str, alert_info: dict):
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asyncio.create_task(
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ai_analyzer.analyze_alert(alert_id, snapshot_url, alert_info)
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)
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def get_ai_analyzer() -> AIAnalyzer:
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return ai_analyzer
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