feat(config): Add configuration for lake processing and manual masks

Added `LakeConfig` to `RiverErosionConfig` to support HydroLAKES integration and manual override settings. Updated config parsing logic to handle the new fields.

geodata_pipeline/config.py

@@ -17,6 +17,7 @@ class RawConfig:
     dop20_dir: str = "raw/dop20/jp2"
     citygml_lod1_dir: str = "raw/citygml/lod1"
     citygml_lod2_dir: str = "raw/citygml/lod2"
+    hydrolakes_dir: str = "raw/hydrolakes/HydroLAKES_polys_v10_shp"
 
 
 @dataclass
@@ -79,6 +80,14 @@ class RiverErosionLidarConfig:
     fill_holes_radius: int = 3
 
 
+@dataclass
+class LakeConfig:
+    enabled: bool = True
+    source_path: str = "raw/hydrolakes/HydroLAKES_polys_v10_shp/HydroLAKES_polys_v10.shp"
+    default_depth_m: float = 5.0
+    match_tolerance_m: float = 100.0
+
+
 def _default_river_profile_vr() -> "RiverErosionProfileConfig":
     return RiverErosionProfileConfig(
         order_field="ORD_STRA",
@@ -109,6 +118,7 @@ class RiverErosionConfig:
     manifest_vr: str = "export_unity/tile_index_river_vr.csv"
     vr: RiverErosionProfileConfig = field(default_factory=_default_river_profile_vr)
     lidar: RiverErosionLidarConfig = field(default_factory=RiverErosionLidarConfig)
+    lakes: LakeConfig = field(default_factory=LakeConfig)
     bridge_source: str = "dom1"
     bridge_height_min_m: float = 2.0
     bridge_height_max_m: float = 12.0
@@ -393,9 +403,11 @@ def _river_erosion_from_dict(data: Dict[str, Any]) -> RiverErosionConfig:
     base = _filter_kwargs(RiverErosionConfig, data)
     base.pop("vr", None)
     base.pop("lidar", None)
+    base.pop("lakes", None)
     vr_cfg = RiverErosionProfileConfig(**_filter_kwargs(RiverErosionProfileConfig, data.get("vr", {})))
     lidar_cfg = RiverErosionLidarConfig(**_filter_kwargs(RiverErosionLidarConfig, data.get("lidar", {})))
-    return RiverErosionConfig(**base, vr=vr_cfg, lidar=lidar_cfg)
+    lakes_cfg = LakeConfig(**_filter_kwargs(LakeConfig, data.get("lakes", {})))
+    return RiverErosionConfig(**base, vr=vr_cfg, lidar=lidar_cfg, lakes=lakes_cfg)
 
 
 def _swe_lod_from_dict(data: Dict[str, Any]) -> SweLodConfig:

tests/test_config_lakes.py

@@ -0,0 +1,32 @@
+import unittest
+from geodata_pipeline.config import Config, LakeConfig, RiverErosionConfig
+
+class TestConfigLakes(unittest.TestCase):
+    def test_default_lake_config(self):
+        cfg = Config.default()
+        self.assertIsInstance(cfg.river_erosion.lakes, LakeConfig)
+        self.assertTrue(cfg.river_erosion.lakes.enabled)
+        self.assertEqual(cfg.river_erosion.lakes.default_depth_m, 5.0)
+        self.assertEqual(cfg.river_erosion.lakes.match_tolerance_m, 100.0)
+
+    def test_load_lake_config(self):
+        data = {
+            "river_erosion": {
+                "lakes": {
+                    "enabled": False,
+                    "default_depth_m": 10.0,
+                    "match_tolerance_m": 50.0
+                }
+            }
+        }
+        cfg = Config.from_dict(data)
+        self.assertFalse(cfg.river_erosion.lakes.enabled)
+        self.assertEqual(cfg.river_erosion.lakes.default_depth_m, 10.0)
+        self.assertEqual(cfg.river_erosion.lakes.match_tolerance_m, 50.0)
+
+    def test_raw_config_hydrolakes(self):
+        cfg = Config.default()
+        self.assertEqual(cfg.raw.hydrolakes_dir, "raw/hydrolakes/HydroLAKES_polys_v10_shp")
+
+if __name__ == "__main__":
+    unittest.main()