- Implemented image folder repository with CRUD operations.
- Added image reference repository for managing image references to articles.
- Created image repository for handling image assets, including listing, inserting, updating, and deleting images.
- Introduced image usage repository to track storage usage and quotas for tenants.
- Added SQL queries for image assets, folders, references, and usage.
- Developed image handler for HTTP endpoints to manage images and folders.
- Created database migration scripts for image-related tables and structures.
Persist enable_web_search and generate_count in GenerateTaskDrawer.
Display generate_count in ScheduleTaskTab. Add Zhihu table format
conversion for compatibility. Extend shared types with batch generation
response fields. Strengthen outline adherence rule in prompts config.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Removed ListQuestionVersions method and associated types from BrandService and Queries.
- Updated PromptRuleGenerationService to change task naming and handling.
- Enhanced ScheduleTaskService to support filtering by created date range and keyword.
- Introduced InstantTaskService for managing instant tasks with appropriate filtering and response structures.
- Added InstantTaskHandler for handling API requests related to instant tasks.
- Created InstantTaskTab component for the admin web interface to display and manage instant tasks.
- Updated database migrations to rename source types for articles and generation tasks.
- Adjusted models and repository queries to reflect the removal of question version handling.
- Added migration to harden task audit tracking by modifying audit_logs and related tables.
- Introduced operator_id to several tables for better tracking of actions.
- Updated article_templates with new prompt templates for various article types, enhancing content generation.
- Created prompt_rules and schedule_tasks tables to manage content generation rules and scheduling.
- Added foreign key constraints to articles for better data integrity.
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