- 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.
feat(admin): Add API monitoring, debug console, and system health templates for enhanced admin interface
docs: Add AI system cleanup summary and audit report detailing architecture, token management, and recommendations
docs: Introduce credits and tokens system guide outlining configuration, data flow, and monitoring strategies
- Simplified HasTenantAccess permission logic to ensure every authenticated user has an account.
- Added fallback to system account for OpenAI settings in AI configuration.
- Allowed any authenticated user to check task progress in IntegrationSettingsViewSet.
- Created a script to identify and fix orphaned users without accounts.
- Updated error response handling in business endpoints for clarity.
- Added a new method to fetch blueprints from the API, improving data retrieval for site structures.
- Updated the WizardPage component to include a progress modal for better user feedback during site structure generation.
- Refactored state management in builderStore to track structure generation tasks, enhancing the overall user experience.
- Replaced SyncIcon with RefreshCw in integration components for a more consistent iconography.
- Improved the site structure generation prompt in utils.py to provide clearer instructions for AI-driven site architecture.
- Added a check for the existence of the ModuleEnableSettings table before attempting to retrieve or fixed all phase 0 create settings for an account.
- Implemented logging and a user-friendly error response if the table does not exist, prompting the user to run the necessary migration.
- Updated migration to create the ModuleEnableSettings table using raw SQL to avoid model resolution issues.
- 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.
- Changed to use get() with DoesNotExist exception handling
- Creates settings only if they don't exist
- Better error handling with traceback
- Fixes 404 'Setting not found' errors
- Updated get_queryset to properly filter by account
- Ensures queryset is account-scoped before list() is called
- Prevents potential conflicts with base class behavior
- Added proper exception handling in list() and retrieve() methods
- Use objects.get_or_create() directly instead of class method
- Added *args, **kwargs to method signatures for DRF compatibility
- Better error messages for debugging
- Fixes 404 'Setting not found' errors
- Changed permission_classes to get_permissions() method
- Read operations (list, retrieve) now accessible to all authenticated users
- Write operations (update, partial_update) still restricted to admins/owners
- Fixes 403 Forbidden errors when loading module settings in sidebar
- Created ModuleEnableSettingsSerializer
- Created ModuleEnableSettingsViewSet with get_or_create logic
- Added URL routing for module enable settings
- One record per account, auto-created on first access
- Created ModuleEnableSettings model with enabled flags for all modules
- Added migration for ModuleEnableSettings
- Updated imports across system module files
- Simplify request data handling in the 'IntegrationSettingsViewSet' by removing unnecessary try-except blocks and improving clarity.
- Enhance API key retrieval logic with better fallback mechanisms for account settings.
- Implement detailed error mapping for OpenAI API responses, ensuring appropriate HTTP status codes are returned based on the response received.
- Update logging for improved visibility during account and settings lookups.
