- Removed deprecated fields from Content and Task models, including entity_type, sync_status, and cluster_role.
- Updated Content model to include new fields: content_type, content_structure, taxonomy_terms, source, external_id, and cluster_id.
- Refactored Writer module components (Content, ContentView, Dashboard, Tasks) to align with new schema.
- Enhanced Dashboard metrics and removed unused filters.
- Implemented ClusterDetail page to display cluster information and associated content.
- Updated API service interfaces to reflect changes in data structure.
- Adjusted sorting and filtering logic across various components to accommodate new field names and types.
- Improved user experience by providing loading states and error handling in data fetching.
- Updated AI prompts to include metadata context, cluster roles, and product attributes for improved content generation.
- Enhanced GenerateContentFunction to incorporate taxonomy and keyword objects for richer context.
- Introduced new metadata fields in frontend components for better content organization and filtering.
- Added cluster match, taxonomy match, and relevance score to LinkResults for improved link management.
- Implemented metadata completeness scoring and recommended actions in AnalysisPreview for better content optimization.
- Updated API services to support new metadata structures and site progress tracking.
- Added entity metadata fields to the Tasks model, including entity_type, taxonomy, and cluster_role.
- Updated CandidateEngine to prioritize content relevance based on cluster mappings.
- Introduced metadata completeness scoring in ContentAnalyzer.
- Enhanced validation services to check for entity type and mapping completeness.
- Updated frontend components to display and validate new metadata fields.
- Implemented API endpoints for content validation and metadata persistence.
- Migrated existing data to populate new metadata fields for Tasks and Content.
- Implemented checks for active site in Home, Planner, and Writer dashboards to prevent data fetching when no site is selected.
- Updated API calls to include site_id in requests for better data accuracy.
- Modified user messages to guide users in selecting an active site for insights.
- 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.
- 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
