better printing

exfiltrate.py

@@ -102,15 +102,19 @@ if __name__ == '__main__':
     col_bar.close()
 
     print(f'Downloaded {total_downloaded} images.')
-    print('Preparing data...')
 
+    print('Determining tile width...', end='')
     tile_size = random_file_width(tiles_output)
+    print(f' {tile_size}px')
 
     # Define the number of rows and columns based on the bounding box
+    print('Calculating maximum columns and rows...', end='')
     num_rows = max_row - min_row + 1
     num_cols = max_col - min_col + 1
+    print(f' {num_cols}x{num_rows}')
 
     # Create an empty array to store the image data
+    print(f'Allocating an array with the shape {num_rows * tile_size, num_cols * tile_size} and dimension 3...')
     image_data = np.empty((num_rows * tile_size, num_cols * tile_size, 3), dtype=np.uint8)
 
 
@@ -145,14 +149,16 @@ if __name__ == '__main__':
 
     with ThreadPoolExecutor(max_workers=args.tiff_threads) as executor:
         futures = {executor.submit(build_tiff_data, task) for task in tiles}
-        for future in tqdm(as_completed(futures), total=len(futures), desc='Preparing Data'):
+        for future in tqdm(as_completed(futures), total=len(futures), desc='Building TIFF'):
             pass
 
     # Transpose the image data array to the format (bands, rows, cols).
+    print('Transposing...')
     image_data = np.transpose(image_data, (2, 0, 1))
 
     # Define the transformation from pixel coordinates to geographic coordinates, which is an Affine transformation that
     # maps pixel coordinates in the image to geographic coordinates on the Earth's surface.
+    print('Calculating transform...')
     transform = (Affine.translation(top_left_lon, top_left_lat)  # Create a translation transformation that shifts the image and set the origin of the image to the top-left corner of the bounding box.
                  # Create a scaling transformation that scales the image in the x and y directions to convert the pixel coordinates of the image to the geographic coordinates of the bounding box.
                  * Affine.scale((bottom_right_lon - top_left_lon) / image_data.shape[2], (bottom_right_lat - top_left_lat) / image_data.shape[1]))

test.sh

@@ -3,5 +3,5 @@ venv/bin/python3 exfiltrate.py \
   --zoom 20 \
   --referer https://maps.nlsc.gov.tw/ \
   --bbox 25.076387 121.68951 25.068282 121.700175 \
-  --threads 30 \
+  --dl-threads 30 \
   --output ~/Downloads/wmts-output/