feat(civitai): enhance metadata fetching with error handling and cache validation

This commit is contained in:
Will Miao
2025-09-20 21:35:34 +08:00
parent ab7266f3a4
commit a8d7070832
3 changed files with 65 additions and 31 deletions

View File

@@ -255,20 +255,45 @@ class BaseModelRoutes(ABC):
return await ModelRouteUtils.handle_exclude_model(request, self.service.scanner)
async def fetch_civitai(self, request: web.Request) -> web.Response:
"""Handle CivitAI metadata fetch request"""
response = await ModelRouteUtils.handle_fetch_civitai(request, self.service.scanner)
# If successful, format the metadata before returning
if response.status == 200:
data = json.loads(response.body.decode('utf-8'))
if data.get("success") and data.get("metadata"):
formatted_metadata = await self.service.format_response(data["metadata"])
return web.json_response({
"success": True,
"metadata": formatted_metadata
})
return response
"""Handle CivitAI metadata fetch request - force refresh model metadata"""
try:
data = await request.json()
file_path = data.get('file_path')
if not file_path:
return web.json_response({"success": False, "error": "File path is required"}, status=400)
# Get model data from cache
cache = await self.service.scanner.get_cached_data()
model_data = next((item for item in cache.raw_data if item['file_path'] == file_path), None)
if not model_data:
return web.json_response({"success": False, "error": "Model not found in cache"}, status=404)
# Check if model has SHA256 hash
if not model_data.get('sha256'):
return web.json_response({"success": False, "error": "No SHA256 hash found"}, status=400)
# Use fetch_and_update_model to get and update metadata
success, error = await ModelRouteUtils.fetch_and_update_model(
sha256=model_data['sha256'],
file_path=file_path,
model_data=model_data,
update_cache_func=self.service.scanner.update_single_model_cache
)
if not success:
return web.json_response({"success": False, "error": error})
# Format the updated metadata for response
formatted_metadata = await self.service.format_response(model_data)
return web.json_response({
"success": True,
"metadata": formatted_metadata
})
except Exception as e:
logger.error(f"Error fetching from CivitAI: {e}", exc_info=True)
return web.json_response({"success": False, "error": str(e)}, status=500)
async def relink_civitai(self, request: web.Request) -> web.Response:
"""Handle CivitAI metadata re-linking request"""
@@ -652,12 +677,13 @@ class BaseModelRoutes(ABC):
for model in to_process:
try:
original_name = model.get('model_name')
if await ModelRouteUtils.fetch_and_update_model(
result, error = await ModelRouteUtils.fetch_and_update_model(
sha256=model['sha256'],
file_path=model['file_path'],
model_data=model,
update_cache_func=self.service.scanner.update_single_model_cache
):
)
if result:
success += 1
if original_name != model.get('model_name'):
needs_resort = True

View File

@@ -53,7 +53,7 @@ class MetadataUpdater:
async def update_cache_func(old_path, new_path, metadata):
return await scanner.update_single_model_cache(old_path, new_path, metadata)
success = await ModelRouteUtils.fetch_and_update_model(
success, error = await ModelRouteUtils.fetch_and_update_model(
model_hash,
file_path,
model_data,
@@ -64,7 +64,7 @@ class MetadataUpdater:
logger.info(f"Successfully refreshed metadata for {model_name}")
return True
else:
logger.warning(f"Failed to refresh metadata for {model_name}")
logger.warning(f"Failed to refresh metadata for {model_name}, {error}")
return False
except Exception as e:

View File

@@ -184,7 +184,7 @@ class ModelRouteUtils:
file_path: str,
model_data: dict,
update_cache_func: Callable[[str, str, Dict], Awaitable[bool]]
) -> bool:
) -> tuple[bool, str]:
"""Fetch and update metadata for a single model
Args:
@@ -194,21 +194,22 @@ class ModelRouteUtils:
update_cache_func: Function to update the cache with new metadata
Returns:
bool: True if successful, False otherwise
tuple[bool, str]: (success, error_message). When success is True, error_message is None.
"""
try:
# Validate input parameters
if not isinstance(model_data, dict):
logger.error(f"Invalid model_data type: {type(model_data)}")
return False
error_msg = f"Invalid model_data type: {type(model_data)}"
logger.error(error_msg)
return False, error_msg
metadata_path = os.path.splitext(file_path)[0] + '.metadata.json'
enable_metadata_archive_db = settings.get('enable_metadata_archive_db', False)
if model_data.get('civitai_deleted') is True and model_data.get('db_checked') is False:
if model_data.get('civitai_deleted') is True:
# If CivitAI deleted flag is set, skip CivitAI API provider
if not enable_metadata_archive_db:
return False
if not enable_metadata_archive_db or model_data.get('db_checked') is True:
return False, "CivitAI model is deleted and metadata archive DB is not enabled"
# Likely deleted from CivitAI, use archive_db if available
metadata_provider = await get_metadata_provider('sqlite')
else:
@@ -226,11 +227,16 @@ class ModelRouteUtils:
data_to_save = model_data.copy()
data_to_save.pop('folder', None)
await MetadataManager.save_metadata(file_path, data_to_save)
return False
# For other errors, log and return False with error message
error_msg = f"Error fetching metadata: {error} (model_name={model_data.get('model_name', '')})"
logger.error(error_msg)
return False, error_msg
model_data['from_civitai'] = True
model_data['civitai_deleted'] = civitai_metadata.get('source') == 'archive_db'
model_data['db_checked'] = enable_metadata_archive_db
model_data['last_checked_at'] = datetime.now().timestamp()
local_metadata = model_data.copy()
local_metadata.pop('folder', None) # Remove 'folder' key if present
@@ -254,14 +260,16 @@ class ModelRouteUtils:
# Update cache using the provided function
await update_cache_func(file_path, file_path, local_metadata)
return True
return True, None
except KeyError as e:
logger.error(f"Error fetching CivitAI data - Missing key: {e} in model_data={model_data}")
return False
error_msg = f"Error fetching metadata - Missing key: {e} in model_data={model_data}"
logger.error(error_msg)
return False, error_msg
except Exception as e:
logger.error(f"Error fetching CivitAI data: {str(e)}", exc_info=True) # Include stack trace
return False
error_msg = f"Error fetching metadata: {str(e)}"
logger.error(error_msg, exc_info=True) # Include stack trace
return False, error_msg
@staticmethod
def filter_civitai_data(data: Dict, minimal: bool = False) -> Dict: