fix missing import

src/coastsat/SDS_download.py

@@ -11,7 +11,7 @@
 import numpy as np
 import matplotlib.pyplot as plt
 import pdb
-from typing import List, Dict
+from typing import List, Dict, Union
 import time
 from functools import wraps
 
@@ -702,40 +702,40 @@ def read_metadata_file(filepath: str) -> Dict[str, Union[str, int, float]]:
         "im_width",
         "im_height",
     ]
-
+    
     # Mapping of actual file keys to metadata keys
     key_mapping = {"image_quality": "im_quality"}
-
+    
     # Initialize the metadata dictionary with default values.
     metadata = {
         "filename": "",
         "epsg": "",
         "acc_georef": -1,
         "im_quality": -1,
         "im_width": -1,
-        "im_height": -1,
+        "im_height": -1
     }
-
+    
     with open(filepath, "r") as f:
         for line in f:
             line = line.strip()
             if not line:
                 continue  # Skip empty lines
-
+            
             parts = line.split("\t")
             if len(parts) < 2:
                 continue  # Skip lines without a tab character
-
+            
             key = parts[0].strip()
             value = parts[1].strip()
-
+            
             # Map the actual key in the file to the metadata key
             key = key_mapping.get(key, key)
-
+            
             # If the mapped key is not in metadata_keys, then skip it.
             if key not in metadata_keys:
                 continue
-
+            
             # Convert value to the appropriate type based on the key
             if key in ["epsg", "im_width", "im_height"]:
                 try:
@@ -744,21 +744,20 @@ def read_metadata_file(filepath: str) -> Dict[str, Union[str, int, float]]:
                     try:
                         value = float(value)
                     except ValueError:
-                        print(
-                            f"Error: Unable to convert {key} {value} to a numeric value."
-                        )
+                        print(f"Error: Unable to convert {key} {value} to a numeric value.")
             elif key in ["acc_georef", "im_quality"]:
                 try:
                     value = float(value)
                 except ValueError:
                     pass  # Keep the value as a string if conversion to float fails
-
+            
             # Update the metadata dictionary with the extracted key-value pair.
             metadata[key] = value
-
+    
     return metadata
 
 
+
 def get_metadata(inputs):
     """
     Gets the metadata from the downloaded images by parsing .txt files located
@@ -782,7 +781,6 @@ def get_metadata(inputs):
         date, filename, georeferencing accuracy and image coordinate reference system
 
     """
-    print(f"Getting metadata")
     # Construct the directory path containing the images
     filepath = os.path.join(inputs["filepath"], inputs["sitename"])
     if not os.path.exists(filepath):