修改启动前检查方式

app/core/launcher.py

@@ -9,7 +9,6 @@ from app.core.venv_manager import check_virtualenv
 from app.core.dependency_manager import check_dependencies
 from app.utils.logger import get_logger
 from app.utils.thread_pool_manager import block_main_thread, thread_pool_manager
-from app.core.rainfall_manager import rainfall_manager
 
 
 class AppLauncher:
@@ -52,6 +51,8 @@ class AppLauncher:
 
 def start():
     """启动应用服务"""
+    from app.core.rainfall_manager import rainfall_manager
+
     logger = get_logger()
 
     # 启动降雨站点监测

app/core/rainfall_manager.py

@@ -8,8 +8,6 @@ from typing import Optional
 
 from app.utils import thread_pool_manager
 from app.utils.logger import get_logger
-from app.repositories.rainfall_repository import rainfall_repository
-from app.services.rainfall_grid_service import rainfall_grid_service
 
 
 class RainfallManager:
@@ -46,6 +44,8 @@ class RainfallManager:
         Args:
             initial_query_time: 初始查询时间
         """
+        from app.repositories.rainfall_repository import rainfall_repository
+
         query_time = initial_query_time
 
         while True:
@@ -83,6 +83,9 @@ class RainfallManager:
             query_time: 查询时间
             max_id: 最大ID
         """
+        from app.repositories.rainfall_repository import rainfall_repository
+        from app.services.rainfall_grid_service import rainfall_grid_service
+
         try:
             self.logger.info(f"开始生成降雨栅格，查询时间: {query_time}, ID: {max_id}")
 

app/services/rainfall_grid_service.py

@@ -8,17 +8,7 @@ from datetime import datetime
 from typing import Optional, List, Dict, Any, Tuple
 from io import BytesIO
 
-import numpy as np
-from scipy.spatial import Delaunay, ConvexHull
-from scipy.interpolate import griddata
-from scipy.ndimage import gaussian_filter
-from PIL import Image
-import matplotlib.pyplot as plt
-from matplotlib.colors import ListedColormap, BoundaryNorm
-
-from config import settings
 from app.utils.logger import get_logger
-from app.utils.redis_helper import redis_helper
 
 
 class RainfallGridService:
@@ -54,7 +44,7 @@ class RainfallGridService:
         # 栅格分辨率（度）
         self.grid_resolution = 0.01  # 约1km
     
-    def _create_buffer_points(self, points_array: np.ndarray) -> np.ndarray:
+    def _create_buffer_points(self, points_array) -> 'np.ndarray':
         """
         创建缓冲点：在原始站点外围生成虚拟点以扩展插值区域
 
@@ -64,6 +54,8 @@ class RainfallGridService:
         Returns:
             缓冲点坐标数组
         """
+        import numpy as np
+
         # 计算站点分布的中心
         center = np.mean(points_array, axis=0)
         
@@ -89,7 +81,7 @@ class RainfallGridService:
     
     def _calculate_adaptive_max_distance(
         self,
-        points_array: np.ndarray,
+        points_array,
         base_distance: float = 0.3,
         min_distance: float = 0.15,
         max_distance: float = 0.5
@@ -106,11 +98,13 @@ class RainfallGridService:
         Returns:
             自适应的最大影响距离
         """
+        import numpy as np
+        from scipy.spatial import distance_matrix
+
         if len(points_array) < 3:
             return base_distance
 
         # 计算站点间的平均距离
-        from scipy.spatial import distance_matrix
         dist_matrix = distance_matrix(points_array, points_array)
 
         # 排除对角线（自身距离为0）
@@ -138,6 +132,10 @@ class RainfallGridService:
         Returns:
             插值结果字典
         """
+        import numpy as np
+        from scipy.spatial import Delaunay, ConvexHull, distance_matrix
+        from scipy.ndimage import gaussian_filter
+
         # 提取站点坐标和降雨量
         points_array = np.array([[s['lon'], s['lat']] for s in station_data])
         values_array = np.array([s['rainfall'] for s in station_data])
@@ -184,7 +182,6 @@ class RainfallGridService:
                 hull_mask = hull_mask.reshape(grid_lon.shape)
                 
                 # 计算置信度：基于到最近站点的距离
-                from scipy.spatial import distance_matrix
                 grid_valid = grid_points[hull_mask.ravel()]
                 if len(grid_valid) > 0:
                     dist_to_stations = distance_matrix(grid_valid, points_array)
@@ -297,6 +294,12 @@ class RainfallGridService:
         Returns:
             PNG文件相对路径，失败返回None
         """
+        import numpy as np
+        import matplotlib.pyplot as plt
+        from matplotlib.colors import ListedColormap, BoundaryNorm
+        from PIL import Image
+        from config import settings
+
         try:
             grid_values = grid_data['grid_values']
             lon_range = grid_data['lon_range']
@@ -384,6 +387,9 @@ class RainfallGridService:
             query_time: 查询时间（datetime对象或字符串）
             station_data: 站点数据
         """
+        from config import settings
+        from app.utils.redis_helper import redis_helper
+
         try:
             redis_key = settings.REDIS_RAIN_STATION_GRID_KEY
             redis_identifier_key = settings.REDIS_RAIN_STATION_IDENTIFIER_KEY

start.py

@@ -3,13 +3,15 @@
 使用 Dynaconf 进行环境隔离配置
 """
 from pathlib import Path
-from app.core.launcher import AppLauncher
 
 # 添加项目根目录到Python路径
 project_root = Path(__file__).parent
 
 
 if __name__ == "__main__":
+    # 延迟导入，确保在依赖安装前不会导入第三方库
+    from app.core.launcher import AppLauncher
+
     # 创建并运行启动器
     launcher = AppLauncher(project_root)
     launcher.run()