- Introduced new functions for handling exercise visibility in progression graphs, including `library_content_visibility_for_progression_graph_sql` to manage visibility based on graph context.
- Added `_supplemental_exercise_ids_from_body` to extract exercise IDs from request bodies, improving data handling in path suggestions.
- Implemented visibility promotion candidate retrieval in the API, allowing for the identification of private exercises that need visibility adjustments when promoting graph visibility.
- Enhanced existing SQL queries and retrieval functions to incorporate new visibility logic, ensuring accurate exercise visibility based on user roles and graph settings.
- Updated frontend components to support visibility promotion workflows, including user prompts for managing private exercises during graph visibility changes.
- Added tests to validate new visibility logic and ensure robustness in exercise retrieval and promotion processes.
- Refactored `ExerciseProgressionGraphPanel` to support a create dialog for new progression graphs, improving user experience.
- Integrated `ProgressionGraphListCard` for better visualization of existing graphs and streamlined management.
- Updated `ProgressionGraphEditor` to handle start/target analysis and improved draft hydration with AI suggestions.
- Added utility functions for managing structured responses from AI, enhancing the planning process.
- Incremented application version to reflect these updates.
- Updated the `ProgressionGraphSlotEditorSpec.md` to reflect UI consolidation, removing separate editors and integrating functionalities into `ExerciseProgressionGraphPanel`.
- Refactored `ExerciseProgressionGraphPanel` to streamline the editing experience, removing unused state and logic for better performance.
- Enhanced `ProgressionGraphEditor` to support embedded usage and trigger callbacks on save, improving integration with other components.
- Simplified `ProgressionGraphEditPage` to redirect users to the exercises list with deep-linking support for selected graphs.
- Incremented application version to reflect these updates.
- Introduced EvaluateStepPayload class to facilitate evaluation of exercise steps with optional attributes for AI proposals and roadmap details.
- Added SlotContentEntry and SlotExerciseContent classes to manage exercise content within the progression graph planning artifact.
- Updated GraphPlanningRoadmapArtifact to include new slot contents and last findings attributes for improved data handling.
- Enhanced Exercise Progression Graph Panel with links to the new Slot Editor for streamlined editing of progression graphs.
- Incremented application version to reflect these updates.
- Introduced a primary chain selection in the Exercise Progression Graph Panel to streamline exercise path management.
- Updated the ProgressionChainEditor to support single path mode, allowing users to manage a single progression path more effectively.
- Enhanced the ExerciseProgressionPathBuilder with improved logic for merging graph nodes into path steps and filtering gap offers.
- Updated UI elements for better clarity and user experience, including new notifications and styling adjustments.
- Incremented application version to reflect these updates.
- Added `ProgressionChainEditor` to the Exercise Progression Graph Panel for improved management of exercise chains.
- Refactored state management to utilize `useRef` for chain editor references and removed unused sequence step logic.
- Introduced a path insert notice in the Exercise Progression Path Builder to inform users about unsaved changes.
- Updated UI elements to enhance clarity regarding the status of paths before saving.
- Incremented application version to reflect these updates.
- Incremented version to 0.8.185, reflecting the implementation of Phase C3 features.
- Introduced the `POST /api/planning/progression-path-suggest` endpoint for generating exercise progression paths.
- Enhanced the ExerciseProgressionGraphPanel with a new ExerciseProgressionPathBuilder for reviewing and saving paths.
- Updated changelog to document the new capabilities in planning AI functionality.
- Incremented version to 0.8.184, reflecting the implementation of Phase C2 features.
- Added support for displaying variant lists and suggested variant names in exercise suggestions.
- Enhanced the ExercisePickerModal to allow selection of exercise variants and improved handling of variant IDs.
- Updated backend logic to enrich planning hits with variant metadata, ensuring accurate exercise variant selection.
- Documented changes in the changelog to highlight the new capabilities in planning AI functionality.
- Replaced hardcoded visibility labels with the new constant EXERCISE_VISIBILITY_FIELD_LABEL in multiple components, ensuring consistent terminology throughout the application.
- Updated UI text to reflect the change from "Sichtbarkeit" to "Freigabelevel" in various contexts, enhancing clarity for users.
- Improved accessibility by standardizing the visibility-related labels in the ExercisePickerModal, ExerciseProgressionGraphPanel, and other related components.
- Introduced new helper functions for managing artifact type corpus, improving code organization and readability.
- Updated the `compute_club_corpus_reference` function to utilize the new corpus handling methods, enhancing clarity and maintainability.
- Refactored skill profile functions to leverage the new corpus structure, ensuring consistent data retrieval across different artifact types.
- Improved the handling of visibility clauses for library content, streamlining database queries for skill profiles.
- Enhanced the batch skill profile summary function to aggregate reference data by artifact type, improving performance and accuracy.
- Enhanced the skill scoring formula to incorporate intensity and level range factors, improving the accuracy of skill contributions.
- Removed the use of `is_primary` and `development_contribution` from calculations, streamlining the scoring process.
- Updated documentation to reflect changes in the scoring logic and versioning.
- Adjusted frontend components to align with the new scoring criteria, ensuring consistent user experience across the application.
- Updated the framework program documentation to reflect the completion of Phase 3 v1.0, including new skill scoring and API enhancements.
- Added new API endpoints for skill profile retrieval and suggestions, improving the ability to aggregate and display skills based on training data.
- Introduced new UI components for skill profiles and discovery in the frontend, enhancing user interaction with training frameworks and skills.
- Updated version information to 0.8.151, reflecting the addition of skill profiles and related features.
- Updated app version to 0.8.110 and database schema version to 20260512057, reflecting recent enhancements.
- Revised project status documentation to include new versioning and next steps for development.
- Enhanced the functional specification for training modules and combination exercises, detailing upcoming features and improvements.
- Improved technical specifications to align with the latest code changes, ensuring consistency across documentation.
- Introduced new UI elements for toast notifications and unsaved changes prompts to enhance user experience.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Bumped app version to 0.8.100, reflecting recent updates.
- Improved validation logic for combination exercises in the backend, ensuring proper handling of exercise variants.
- Enhanced frontend components, including the ExercisePickerModal, to support filtering and displaying combination exercises.
- Updated API payloads and utility functions to accommodate new exercise types and their properties.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Incremented application version to 0.8.7 and updated database schema version to 20260430034.
- Enhanced exercise progression graph functionality by adding support for exercise variants as node endpoints and bulk creation of progression sequences.
- Updated changelog to reflect new features and improvements related to progression graphs and API enhancements.
- Integrated exercise progression graphs into the backend and frontend, allowing users to visualize relationships between exercises.
- Updated API endpoints for managing exercise progression graphs and edges, enhancing the exercise management capabilities.
- Added a new tab in the ExercisesListPage for displaying progression graphs and included a panel in the ExerciseFormPage for editing.
- Incremented application version to 0.8.6 and updated changelog to reflect new features and improvements.
