新推荐接口first commit

app/api/api_precompute.py

@@ -0,0 +1,85 @@
+import logging
+from fastapi import APIRouter, HTTPException
+from concurrent.futures import ThreadPoolExecutor
+
+from app.schemas.response_template import ResponseModel
+from app.service.recommendation_system.precompute import run_precompute
+
+logger = logging.getLogger()
+router = APIRouter()
+
+# 使用线程池执行器来运行长时间任务
+executor = ThreadPoolExecutor(max_workers=1)
+# 用于跟踪任务状态
+task_status = {"running": False}
+
+
+def run_precompute_task():
+    """在后台线程中运行预计算任务"""
+    try:
+        task_status["running"] = True
+        logger.info("开始执行预计算任务...")
+        run_precompute()
+        task_status["running"] = False
+        logger.info("预计算任务完成")
+    except Exception as e:
+        task_status["running"] = False
+        logger.error(f"预计算任务失败: {e}", exc_info=True)
+        raise
+
+
+@router.post("/precompute", response_model=ResponseModel)
+async def precompute():
+    """
+    运行预计算任务
+    
+    该接口会异步执行预计算任务，包括：
+    1. 优化数据库表结构
+    2. 历史数据迁移
+    3. 初始用户偏好向量生成
+    
+    任务在后台运行。
+    """
+    try:
+        # 检查是否有任务正在运行
+        if task_status["running"]:
+            raise HTTPException(
+                status_code=409,
+                detail="已有预计算任务正在运行，请等待完成后再试"
+            )
+        
+        # 在后台线程中执行任务
+        executor.submit(run_precompute_task)
+        
+        return ResponseModel(
+            code=200,
+            msg="预计算任务已启动，正在后台执行",
+            data={
+                "status": "started",
+                "tasks": [
+                    "优化数据库表结构",
+                    "历史数据迁移",
+                    "初始用户偏好向量生成"
+                ]
+            }
+        )
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"启动预计算任务失败: {e}", exc_info=True)
+        raise HTTPException(status_code=500, detail=f"启动预计算任务失败: {str(e)}")
+
+
+@router.get("/precompute/status", response_model=ResponseModel)
+async def get_precompute_status():
+    """
+    获取预计算任务状态
+    """
+    return ResponseModel(
+        code=200,
+        msg="OK",
+        data={
+            "running": task_status["running"]
+        }
+    )
+