readme

README.md

@@ -9,7 +9,7 @@ Major changes:
 - Added progress bars.
 - Use threading where possible.
 - Save assignment attachements.
-- Download all user files (as seen in the file manager at `/files` on your Canvas platform.)
+- Save all user files.
 
 ---
 
@@ -26,7 +26,7 @@ The tool exports all of the following data for each course:
 - Modules
 - Single file webpage of the Canvas page for assignments, announcements, discussions, and modules
 
-Your data in will be exported in JSON format and organized into folders per term.
+Additionally, all your files stored on Canvas (such as historic submissions and attachments) will be downloaded.
 
 ## Install
 

module/download_canvas.py

@@ -217,6 +217,6 @@ def download_course_module_pages(api_url, course_view, cookies_path):
         for module in tqdm(list(course_view.modules), desc='Downloading Module Pages'):
             bar = tqdm(list(module.items), leave=False, desc=module.name)
             futures = [executor.submit(download_module_item, module, item, modules_dir, cookies_path) for item in module.items]
-            for future in as_completed(futures):
+            for _ in as_completed(futures):
                 bar.update()
             bar.close()

module/user_files.py

@@ -31,9 +31,5 @@ def download_user_files(canvas: canvasapi.Canvas, base_path: str):
     with ThreadPoolExecutor(max_workers=10) as executor:
         bar = tqdm(files, desc='Downloading User Files')
         futures = [executor.submit(do_download, task) for task in files]
-        for future in as_completed(futures):
+        for _ in as_completed(futures):
             bar.update()
-
-    # for file, out_path in tqdm(files, desc='Downloading User Files'):
-    #     if not out_path.exists():
-    #         file.download(out_path)