- Introduced `ContentTaxonomy` and `ContentAttribute` models for improved content categorization and attribute management.
- Updated `Content` model to support new fields for content format, cluster role, and external type.
- Refactored serializers and views to accommodate new models, including `ContentTaxonomySerializer` and `ContentAttributeSerializer`.
- Added new API endpoints for managing taxonomies and attributes, enhancing the content management capabilities.
- Updated admin interfaces for `Content`, `ContentTaxonomy`, and `ContentAttribute` to reflect new structures and improve usability.
- Implemented backward compatibility for existing attribute mappings.
- Enhanced filtering and search capabilities in the API for better content retrieval.
- 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.
- Changed migration dependencies in `0003_workflow_and_taxonomies.py` to reflect the correct order.
- Updated foreign key references from `account` to `tenant` in multiple migration files for consistency.
- Adjusted related names in foreign key fields to ensure proper relationships in the database schema.
- Introduced a new scheduled task for executing automation rules every 5 minutes in the Celery beat schedule.
- Updated URL routing to include a new endpoint for automation-related functionalities.
- Refactored imports in various modules to align with the new business layer structure, ensuring backward compatibility for billing models, exceptions, and services.
- 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.
- 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.
