Address the rate-limit flood and secondary errors seen during large
recipe ingestion (example-images directory import):
- batch import: share one adaptive-concurrency semaphore across the whole
batch (previously each item got a fresh semaphore, so the min/max
concurrency bounds never applied and every item ran concurrently);
synchronize the shared semaphore capacity after each completed item.
- comfy parser: guard ckpt_name against list/None values so re.search no
longer raises TypeError and fails the whole image import.
- civarchive client: normalize empty-string failure payloads to
"Request failed" and treat a missing payload as an error, fixing the
"'NoneType' object has no attribute 'get'" crash.
- civarchive client: log connectivity-guard offline-cooldown
short-circuits at DEBUG instead of one ERROR per request.
- Replaced direct usage of Civitai client with a fallback metadata provider across all recipe parsers.
- Updated metadata service to improve initialization and error handling.
- Enhanced download manager to utilize a downloader service for file operations.
- Improved recipe scanner to fetch model information through the new metadata provider.
- Updated utility functions to streamline image downloading and processing.
- Added comprehensive logging and error handling for better debugging and reliability.
- Introduced `get_default_metadata_provider()` for simplified access to the default provider.
- Ensured backward compatibility with existing APIs and workflows.
- Implemented the base class `RecipeMetadataParser` for parsing recipe metadata from user comments.
- Created a factory class `RecipeParserFactory` to instantiate appropriate parser based on user comment content.
- Developed multiple parser classes: `ComfyMetadataParser`, `AutomaticMetadataParser`, `MetaFormatParser`, and `RecipeFormatParser` to handle different metadata formats.
- Introduced constants for generation parameters and valid LoRA types.
- Enhanced error handling and logging throughout the parsing process.
- Added functionality to populate LoRA and checkpoint information from Civitai API responses.
- Structured the output of parsed metadata to include prompts, LoRAs, generation parameters, and model information.
Will Miao