feat: automatic loading of grid implementations

Author: JanssenBrm

app/main.py

@@ -2,13 +2,15 @@
 
 from app.middleware.correlation_id import add_correlation_id
 from app.platforms.dispatcher import load_processing_platforms
+from app.services.tiles.base import load_grids
 from .config.logger import setup_logging
 from .config.settings import settings
 from .routers import jobs_status, unit_jobs, health, tiles
 
 setup_logging()
 
 load_processing_platforms()
+load_grids()
 
 app = FastAPI(
     title=settings.app_name,

app/services/tiles/base.py

@@ -1,19 +1,29 @@
+import importlib
+import pkgutil
 from typing import Callable, Dict
 from geojson_pydantic import GeometryCollection, Polygon
 from loguru import logger
+import app.services.tiles.grids
 from app.schemas.tiles import GridTypeEnum
 
 GRID_REGISTRY: Dict[GridTypeEnum, Callable[[Polygon], GeometryCollection]] = {}
 
 
 def register_grid(grid_type: GridTypeEnum):
     def decorator(func: Callable[[Polygon], GeometryCollection]):
+        logger.debug(f"Registering grid {grid_type}")
         GRID_REGISTRY[grid_type] = func
         return func
 
     return decorator
 
 
+def load_grids():
+    """Dynamically load all processing platform implementations."""
+    for _, module_name, _ in pkgutil.iter_modules(app.services.tiles.grids.__path__):
+        importlib.import_module(f"app.services.tiles.grids.{module_name}")  # noqa: F821
+
+
 def split_polygon_by_grid(polygon: Polygon, grid: GridTypeEnum) -> GeometryCollection:
     """
     Split a GeoJSON Polygon into smaller polygons according to the specified grid type.

app/services/tiles/km_grids.py app/services/tiles/grids/km_grids.pyapp/services/tiles/km_grids.py renamed to app/services/tiles/grids/km_grids.py

@@ -1,6 +1,6 @@
 from geojson_pydantic import GeometryCollection, Polygon
 
-from app.services.tiles.km_grids import _split_by_km_grid, split_by_20x20_km_grid
+from app.services.tiles.grids.km_grids import _split_by_km_grid, split_by_20x20_km_grid
 
 
 def test__split_by_km_grid_creates_multiple_cells():