- Introduced a new endpoint in the backend to handle bulk updates of image statuses by content ID or image IDs.
- Updated the frontend to include a new row action for updating image status and integrated a modal for status confirmation.
- Enhanced the API service to support bulk status updates and updated the images page to manage status updates effectively.
- Added user-friendly messages for input description, preparation, AI call, parsing, and saving phases in AIEngine.
- Updated ProgressModal to display success messages and checklist-style progress steps based on function type.
- Improved handling of step logs and current phase determination for better user experience during asynchronous tasks.
- Added support for new V2 functions: `auto_cluster_v2` and `generate_ideas_v2`, including backend logic and API endpoints.
- Updated model configuration to ensure V2 functions validate the presence of models before execution.
- Enhanced progress modal to provide better feedback during asynchronous tasks, including task IDs for debugging.
- Updated frontend components to integrate new V2 functionalities and improve user experience with clustering and idea generation.
- Introduced stepLogs to ProgressModal and useProgressModal for enhanced debugging.
- Updated ProgressModal to display step logs with status indicators.
- Modified useProgressModal to manage step logs, collecting and sorting steps from AI requests.
- Adjusted Clusters and Ideas pages to pass stepLogs to ProgressModal for improved user feedback during asynchronous tasks.
- Fixed a typo in Usage.tsx header for clarity.
- Improved HTMLContentRenderer to better handle JSON content and extract HTML safely.
- Updated ToggleTableRow to robustly extract meta descriptions, including parsing potential JSON strings.
- Refactored Content page to conditionally display meta descriptions based on JSON parsing results, enhancing user experience.
- Updated HTMLContentRenderer to directly utilize HTML from content objects.
- Modified ToggleTableRow to extract and display content metadata, including primary and secondary keywords, tags, categories, and meta descriptions.
- Refactored badge rendering logic for better organization and clarity in the UI.
- Improved content fallback mechanisms in the Content page for better user experience.
- Enhanced GenerateContentFunction to save content in a dedicated Content model, separating it from the Tasks model.
- Updated Tasks model to remove SEO-related fields, now managed in the Content model.
- Modified TasksSerializer to include new content fields and adjusted the API to reflect these changes.
- Improved the auto_generate_content_task method to utilize the new save_output method for better content management.
- Updated frontend components to display new content structure and metadata effectively.
- Updated TasksSerializer to include 'primary_keyword', 'secondary_keywords', 'tags', and 'categories'.
- Enhanced auto_generate_content_task to track progress with detailed steps, including initialization, preparation, AI call, parsing, and saving.
- Updated progress modal to reflect new phases and improved animation for smoother user experience.
- Adjusted routing and configuration for content and drafts pages in the frontend.
- Added primary_keyword, secondary_keywords, tags, and categories fields to Tasks model
- Updated generate_content function to handle full JSON response with all SEO fields
- Improved progress bar animation: smooth 1% increments every 300ms
- Enhanced step detection for content generation vs clustering vs ideas
- Fixed progress modal to show correct messages for each function type
- Added comprehensive logging to Keywords and Tasks pages for AI functions
- Fixed error handling to show meaningful error messages instead of generic failures
