- 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.
- Updated `DebugScopedRateThrottle` to allow public access for blueprint list requests with site filters.
- Modified `SiteViewSet` and `SiteBlueprintViewSet` to permit public read access for list requests.
- Enhanced `loadSiteDefinition` to resolve site slugs to IDs, improving the loading process for site definitions.
- Improved error handling in `SiteDefinitionView` and `loadSiteDefinition` for better user feedback.
- Adjusted CSS styles for better layout and alignment in shared components.
- 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.
- Introduced RefreshTokenView to allow users to refresh their access tokens using a valid refresh token.
- Enhanced LoginView to ensure correct user/account loading and improved error handling during user serialization.
- Updated API response structure to include access and refresh token expiration times.
- Adjusted frontend API handling to support both new and legacy token response formats.
- CreditService.check_credits() now bypasses for:
1. System accounts (aws-admin, default-account, default)
2. Developer/admin users (if user provided)
3. Accounts with developer users (fallback for Celery tasks)
- Updated check_credits_legacy() with same bypass logic
- AIEngine credit check now uses updated CreditService
- Fixes 52 console errors caused by credit checks blocking developers
- Developers can now use AI functions without credit restrictions
- Created billing/tasks.py with replenish_monthly_credits task
- Task runs on first day of each month at midnight
- Adds plan.included_credits to all active accounts
- Creates CreditTransaction records for audit trail
- Configured in celery.py beat_schedule
- Handles errors gracefully and logs all operations
- Updated limits endpoint to show only credits and account management limits
- Removed all operation limit references (keywords, clusters, content ideas, word count, images)
- Limits endpoint now focuses on credit usage by operation type
- Account management limits (users, sites) still shown
- Updated CREDIT_COSTS to match Phase 0 spec (flat structure)
- Added get_credit_cost() method to CreditService
- Updated check_credits() to accept operation_type and amount
- Added deduct_credits_for_operation() convenience method
- Updated AI Engine to check credits BEFORE AI call
- Updated AI Engine to deduct credits AFTER successful execution
- Added helper methods for operation type mapping and amount calculation
