- 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.
- Introduced a new CheckpointMetadata dataclass to encapsulate metadata for checkpoint models.
- Included fields for file details, model specifications, and additional attributes such as resolution and architecture.
- Implemented a __post_init__ method to initialize tags as an empty list if not provided, ensuring consistent data handling.
- Removed the extract_user_comment and update_user_comment methods to streamline the ExifUtils class.
- Cleaned up unnecessary imports and reduced code complexity, focusing on essential functionality for image metadata extraction.
- Updated LoraScanner to first attempt to create metadata from .civitai.info files, improving metadata extraction from existing files.
- Added error handling for reading .civitai.info files and fallback to generating metadata using get_file_info if necessary.
- Refactored file_utils to expose find_preview_file function and added logic to utilize SHA256 from existing .json files to avoid recalculation.
- Improved overall robustness of metadata loading and preview file retrieval processes.
- Introduced ImageSaverMetadataParser class to parse metadata from the Image Saver plugin format.
- Implemented methods to extract prompts, negative prompts, and LoRA information, including weights and hashes.
- Enhanced error handling and logging for metadata parsing failures.
- Updated RecipeParserFactory to include ImageSaverMetadataParser for relevant user comments.
- Added `populate_lora_from_civitai` and `populate_checkpoint_from_civitai` methods to enhance the extraction of model information from Civitai API responses.
- These methods populate LoRA and checkpoint entries with relevant data such as model name, version, thumbnail URL, base model, download URL, and file details.
- Improved error handling and logging for scenarios where models are not found or data retrieval fails.
- Refactored existing code to utilize the new methods, streamlining the process of fetching and updating LoRA and checkpoint metadata.
- Introduced MetaFormatParser class to parse metadata from images with Lora_N Model hash format.
- Implemented methods to validate metadata structure, extract prompts, negative prompts, and LoRA information.
- Enhanced error handling and logging for metadata parsing failures.
- Updated RecipeParserFactory to include MetaFormatParser for relevant user comments.
- Introduced ComfyMetadataParser class to parse metadata from Civitai ComfyUI JSON format.
- Implemented methods to validate metadata structure, extract LoRA and checkpoint information, and retrieve additional model details from Civitai.
- Enhanced error handling and logging for metadata parsing failures.
- Updated RecipeParserFactory to prioritize ComfyMetadataParser for valid JSON inputs.
- Replaced the download function for images from Twitter to Civitai in recipe_routes.py.
- Updated metadata extraction from user comments to a more comprehensive image metadata extraction method in ExifUtils.
- Enhanced the appending of recipe metadata to utilize the new metadata extraction method.
- Added a new utility function to download images from Civitai.
- Updated the early access condition checks in RecipeFormatParser, StandardMetadataParser, and A1111MetadataParser to use `get` method for improved readability and safety.
- Ensured consistent handling of early access status across different parser classes.
- Added error handling for early access restrictions in the API routes, returning appropriate status codes and messages.
- Enhanced the Civitai client to log unauthorized access attempts and provide user-friendly error messages.
- Updated the download manager to check for early access requirements and log warnings accordingly.
- Introduced UI elements to indicate early access status for LoRAs, including badges and warning messages in the import manager.
- Improved toast notifications to inform users about early access download failures and provide relevant information.
- Updated the recipe saving logic to accept a workflow JSON input instead of individual fields like name, tags, and metadata.
- Implemented parsing of the workflow to extract generation parameters and Lora stack, improving the recipe creation process.
- Enhanced error handling for missing workflow data and invalid Lora formats.
- Removed deprecated code related to individual field handling, streamlining the recipe saving functionality.
- Updated the front-end widget to send the workflow JSON directly, simplifying the data preparation process.
- Updated the logic in ExifUtils to first identify KSampler nodes and store references to positive and negative prompt nodes.
- Added a helper function to follow these references and extract text content from CLIP Text Encode nodes.
- Implemented a fallback mechanism to extract prompts using traditional methods if references are not available.
- Improved code readability with additional comments and structured handling of node data.
- Introduced a new API endpoint to save recipes directly from the LoRAs widget.
- Implemented logic to handle recipe data, including image processing and metadata extraction.
- Enhanced error handling for missing fields and image retrieval.
- Updated the ExifUtils to extract generation parameters from images for recipe creation.
- Added a direct save option in the widget, improving user experience.
