Add bulk delete functionality for loras and implement model duplicates management. See #198

- Introduced a new API endpoint for bulk deleting loras.
- Added ModelDuplicatesManager to handle duplicate models for loras and checkpoints.
- Implemented UI components for displaying duplicates and managing selections.
- Enhanced controls with a button for finding duplicates.
- Updated templates to include a duplicates banner and associated actions.
This commit is contained in:
Will Miao
2025-05-31 21:58:48 +08:00
parent 0bd62eef3a
commit 26f9779fbf
21 changed files with 935 additions and 60 deletions

View File

@@ -62,7 +62,7 @@ class ModelRouteUtils:
# Update preview if needed
if not local_metadata.get('preview_url') or not os.path.exists(local_metadata['preview_url']):
first_preview = next((img for img in civitai_metadata.get('images', [])), None)
if first_preview:
if (first_preview):
# Determine if content is video or image
is_video = first_preview['type'] == 'video'
@@ -571,3 +571,42 @@ class ModelRouteUtils:
logger.error(f"Error downloading {model_type}: {error_message}")
return web.Response(status=500, text=error_message)
@staticmethod
async def handle_bulk_delete_models(request: web.Request, scanner) -> web.Response:
"""Handle bulk deletion of models
Args:
request: The aiohttp request
scanner: The model scanner instance with cache management methods
Returns:
web.Response: The HTTP response
"""
try:
data = await request.json()
file_paths = data.get('file_paths', [])
if not file_paths:
return web.json_response({
'success': False,
'error': 'No file paths provided for deletion'
}, status=400)
# Use the scanner's bulk delete method to handle all cache and file operations
result = await scanner.bulk_delete_models(file_paths)
return web.json_response({
'success': result.get('success', False),
'total_deleted': result.get('total_deleted', 0),
'total_attempted': result.get('total_attempted', len(file_paths)),
'results': result.get('results', [])
})
except Exception as e:
logger.error(f"Error in bulk delete: {e}", exc_info=True)
return web.json_response({
'success': False,
'error': str(e)
}, status=500)