- Added AIKnowledgeActivationStatus and AIKnowledgeSyncStatus enums to models.py for managing activation and sync states.
- Introduced AIKnowledgeSync class in aiknowledge_sync_utils.py for synchronizing CAIKnowledge entities with XAI Collections, including collection lifecycle management, document synchronization, and metadata updates.
- Created a daily cron job (aiknowledge_full_sync_cron_step.py) to perform a full sync of CAIKnowledge entities.
- Developed an event handler (aiknowledge_sync_event_step.py) to synchronize CAIKnowledge entities with XAI Collections triggered by webhooks and cron jobs.
- Implemented a webhook handler (aiknowledge_update_api_step.py) to receive updates from EspoCRM for CAIKnowledge entities and enqueue sync events.
- Enhanced xai_service.py with methods for collection management, document listing, and metadata updates.
- Translated comments and docstrings from German to English for better clarity.
- Improved logging consistency across various webhook handlers for create, delete, and update operations.
- Centralized logging functionality by utilizing a dedicated logger utility.
- Added new enums for file and XAI sync statuses in models.
- Updated Redis client factory to use a centralized logger and improved error handling.
- Enhanced API responses to include more descriptive messages and status codes.
- Added `config.py` for centralized configuration management including Sync, API, Advoware, EspoCRM, Redis, Logging, Calendar Sync, and Feature Flags.
- Created `exceptions.py` with a hierarchy of custom exceptions for integration errors, API errors, sync errors, and Redis errors.
- Developed `logging_utils.py` for a unified logging wrapper supporting structured logging and performance tracking.
- Defined Pydantic models in `models.py` for data validation of Advoware and EspoCRM entities, including sync operation models.
- Introduced `redis_client.py` for a centralized Redis client factory with connection pooling, automatic reconnection, and health checks.
