Addressed PR change requests from Victor

src/openeo_gfmap/features/feature_extractor.py

@@ -375,8 +375,8 @@ def apply_feature_extractor_local(
     dependencies = feature_extractor.dependencies()
 
     if len(dependencies) > 0:
-        print(
-            "WARNING: Running UDFs locally with pip dependencies is not supported yet, "
+        feature_extractor.logger.warning(
+            "Running UDFs locally with pip dependencies is not supported yet, "
             "dependencies will not be installed."
         )
 

src/openeo_gfmap/fetching/commons.py

@@ -104,7 +104,6 @@ def _load_collection_hybrid(
         bands=bands,
         properties=properties,
     )
-    print(bands)
     cube = cube.rename_labels(dimension="bands", target=bands)
     return cube
 

src/openeo_gfmap/fetching/meteo.py

@@ -64,7 +64,7 @@ def stac_fetcher(
         **params,
     )
 
-    if isinstance(spatial_extent, GeoJSON):
+    if isinstance(spatial_extent, GeoJSON) and fetch_type == FetchType.POLYGON:
         cube = cube.filter_spatial(spatial_extent)
 
     return cube

src/openeo_gfmap/inference/model_inference.py

@@ -330,8 +330,8 @@ def apply_model_inference_local(
     dependencies = model_inference.dependencies()
 
     if len(dependencies) > 0:
-        print(
-            "WARNING: Running UDFs locally with pip dependencies is not supported yet, "
+        model_inference.logger.warning(
+            "Running UDFs locally with pip dependencies is not supported yet, "
             "dependencies will not be installed."
         )
 

src/openeo_gfmap/preprocessing/scaling.py

@@ -0,0 +1,31 @@
+"""Scaling and compressing methods for datacubes."""
+
+import openeo
+
+
+def compress_uint16(
+    cube: openeo.DataCube, alpha: float = 1.0, beta: float = 0.0
+) -> openeo.DataCube:
+    """Scales the data linearly using the formula `output = (input * a) + b` and compresses values
+    from float32 to uint16 for memory optimization.
+
+    Parameters
+    ----------
+    cube : openeo.DataCube
+        The input datacube to compress, only meteo data should be present.
+    alpha : float, optional (default=1.0)
+        The scaling factor. Values in the input datacube are multiplied by this coefficient.
+    beta : float, optional (default=0.0)
+        The offset. Values in the input datacube are added by this value.
+
+    Returns
+    -------
+    cube : openeo.DataCube
+        The datacube with the data linearly scaled and compressed to uint16 and rescaled frome.
+    """
+    if (
+        alpha != 1.0 or beta != 0.0
+    ):  # Avoid adding a node in the computing graph if scaling is not necessary
+        cube = (cube * alpha) + beta
+
+    return cube.linear_scale_range(0, 65534, 0, 65534)