- Added capabilities for weighted skill profiles, allowing trainers to compare training modules, frameworks, and regression paths based on skill contributions.
- Updated the skill scoring specification to include peer context separation and list filtering, ensuring accurate comparisons among visible artifacts of the same type.
- Enhanced the API to support batch summaries for skill profiles and discovery suggestions, improving data retrieval efficiency.
- Refactored frontend components to display skill metrics, including scores and peer percentages, with improved filtering options for better user experience.
- Updated documentation to reflect the latest changes and enhancements in the skill scoring system.
- Introduced `_normalize_mw_category` function to clean category names for API calls, ensuring consistent handling of category prefixes.
- Updated `SmwClient` methods to utilize normalized category names, improving data retrieval accuracy.
- Added `_wiki_category_or_default` function to provide default categories based on import type, enhancing user experience during imports.
- Integrated new fields `karate_relevance` and `relevance_level` into various admin components, allowing for better skill management.
- Incremented app version to 0.8.145 and updated changelog to reflect these changes.
- Added `karate_relevance` and `relevance_level` fields to the SkillCreate and SkillResponse models, allowing for more detailed skill attributes.
- Updated the SMW property mapping to include these new fields, facilitating their integration during data import.
- Implemented parsing logic for relevance levels from Wiki data, ensuring proper handling of values between 1 and 3.
- Modified the upsert and create skill functions to support the new fields, ensuring they are correctly stored and updated in the database.
- Incremented app version to 0.8.143 and updated changelog to reflect these changes.
- Added support for style direction mappings in the backend, allowing for improved categorization of exercises.
- Introduced a new function to normalize property synonyms, enhancing the mapping of exercise properties.
- Updated the exercise catalog assignment logic to include style directions, ensuring proper database entries.
- Enhanced the ExercisesListPage with new filtering options for style directions, improving user experience and search capabilities.
- Updated capability level mappings in the backend to reflect new terminology (e.g., "einsteiger" to "basis" and "experte" to "optimierung").
- Refactored the exercise management logic to normalize skill levels using canonical slugs, improving consistency across the application.
- Enhanced the ExercisesListPage with additional filtering options for style direction, training type, and target group, along with AI search capabilities.
- Incremented application version to 0.7.7 and updated changelog to document these changes.
- build_skill_assignments() now returns INTEGER (1-5) for target_level
- Previously returned string names ('einsteiger', 'grundlagen', etc.)
- Caused 91/95 import failures with 'invalid input syntax for type integer'
- Remaining 4 failures are wiki pages missing both goal AND execution (invalid data)
Issue: Wiki import - dict-cursor fixes phase 2
- Implemented a new SQL migration for wiki import tracking tables.
- Created an import router for handling MediaWiki imports of exercises, skills, and methods.
- Developed a Semantic MediaWiki API client for direct API interactions.
- Added a mapper to convert SMW properties to local database fields.
- Introduced background tasks for asynchronous import processing.
- Implemented logging and error handling for import operations.
- Added endpoints for previewing imports, checking import status, and managing import references.
