Multiple Migfeat: Update publishing terminology and add publishing settings
- Changed references from "WordPress" to "Site" across multiple components for consistency.
- Introduced a new "Publishing" tab in Site Settings to manage automatic content approval and publishing behavior.
- Added publishing settings model to the backend with fields for auto-approval, auto-publish, and publishing limits.
- Implemented Celery tasks for scheduling and processing automated content publishing.
- Enhanced Writer Dashboard to include metrics for content published to the site and scheduled for publishing.
- Introduced GlobalModuleSettings model for platform-wide module enable/disable settings.
- Added 'caption' field to Images model to store image captions.
- Updated GenerateImagePromptsFunction to handle new caption structure in prompts.
- Enhanced AIPromptViewSet to return global prompt types and validate active prompts.
- Modified serializers and views to accommodate new caption field and global settings.
- Updated frontend components to display captions and filter prompts based on active types.
- Created migrations for GlobalModuleSettings and added caption field to Images.
- 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.
- Deleted the outdated backend dependency file for drf-spectacular.
- Removed an unused image from the frontend assets.
- Improved error handling in TasksSerializer by catching ObjectDoesNotExist in addition to AttributeError.
- Introduced STATUS_CHOICES in the Content model to restrict the status field to 'draft', 'review', and 'published'.
- Created a new migration to reflect the updated status choices without altering existing data.
- Removed 'completed' status from the frontend status color mapping for consistency.
- 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.
- 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
