feat: 初始化告警平台后端项目

- 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

app/services/ai_analyzer.py

@@ -0,0 +1,54 @@
+import asyncio
+import httpx
+from typing import Optional
+
+from app.config import settings
+from app.utils.logger import logger
+
+
+class AIAnalyzer:
+    def __init__(self):
+        self.endpoint = settings.ai_model.endpoint
+        self.api_key = settings.ai_model.api_key
+
+    async def analyze_alert(
+        self,
+        alert_id: int,
+        snapshot_url: str,
+        alert_info: dict,
+    ) -> Optional[dict]:
+        if not self.endpoint:
+            logger.debug("AI模型端点未配置，跳过分析")
+            return None
+
+        try:
+            async with httpx.AsyncClient(timeout=30.0) as client:
+                response = await client.post(
+                    f"{self.endpoint}/analyze",
+                    json={
+                        "alert_id": alert_id,
+                        "snapshot_url": snapshot_url,
+                        "alert_info": alert_info,
+                    },
+                    headers={"Authorization": f"Bearer {self.api_key}"} if self.api_key else {},
+                )
+                response.raise_for_status()
+                result = response.json()
+                logger.info(f"AI分析完成: alert_id={alert_id}")
+                return result
+        except Exception as e:
+            logger.error(f"AI分析失败: alert_id={alert_id}, error={e}")
+            return None
+
+
+ai_analyzer = AIAnalyzer()
+
+
+async def trigger_async_analysis(alert_id: int, snapshot_url: str, alert_info: dict):
+    asyncio.create_task(
+        ai_analyzer.analyze_alert(alert_id, snapshot_url, alert_info)
+    )
+
+
+def get_ai_analyzer() -> AIAnalyzer:
+    return ai_analyzer