🔨 Add and Update docstring and create output_directory necesary folders

src/handlers.py

@@ -76,6 +76,13 @@ def process_and_clip_landsat_images() -> None:
 
 
 def process_bands_for_true_color_image() -> None:
+    """
+    Processes Landsat band images to create true color images.
+
+    This function reads Landsat band images from a specified directory, filters them based on the file extension,
+    and then uses these images to create true color images. The resulting true color images are saved
+    in a designated output directory.
+    """
     image_paths = [
         os.path.join(settings.IMAGES_DATASET.ROI_CROPPED_DATASET_PATH, file)
         for file in os.listdir(settings.IMAGES_DATASET.ROI_CROPPED_DATASET_PATH)
@@ -88,6 +95,14 @@ def process_bands_for_true_color_image() -> None:
 
 
 def process_bands_for_binary_image() -> None:
+    """
+    Processes Landsat band images to create binary images.
+
+    This function reads Landsat band images from a specified directory, filters them based on the file extension,
+    and then uses these images to create binary images. The binary images are generated based on the Normalized
+    Difference Snow Index (NDSI) using specific bands. The resulting binary images are saved in a designated
+    output directory.
+    """
     image_paths = [
         os.path.join(settings.IMAGES_DATASET.ROI_CROPPED_DATASET_PATH, file)
         for file in os.listdir(settings.IMAGES_DATASET.ROI_CROPPED_DATASET_PATH)

src/image_processor.py

@@ -107,6 +107,9 @@ def create_true_color_images_from_landsat_bands(
     and generates true color images saved as PNG files in the specified directory.
     Missing bands for a specific date are reported, and processing continues with the next group of images.
     """
+    if not os.path.exists(output_directory):
+        os.makedirs(output_directory)
+
     grouped_paths = group_images_by_date(image_paths)
     required_bands = set(settings.IMAGES_DATASET.RGB_COLOR_IMAGE_BANDS)
 
@@ -160,6 +163,9 @@ def create_binary_images_from_landsat_bands(
     (NDSI) using bands B3 and B6. The binary images are saved as PNG files in the specified directory.
     Missing bands for a specific date are reported, and processing continues with the next group of images.
     """
+    if not os.path.exists(output_directory):
+        os.makedirs(output_directory)
+
     grouped_paths = group_images_by_date(image_paths)
     required_bands = set(settings.IMAGES_DATASET.BINARY_IMAGE_BANDS)