- Updated APP_VERSION to 0.8.166 and modified BUILD_DATE to reflect recent changes.
- Enhanced AI exercise creation process with a new quick create feature, allowing users to generate exercises based on search input.
- Introduced a rich text editor for editing AI-generated drafts, improving user experience in exercise creation.
- Updated ExercisePickerModal and related components to support the new quick create functionality, including error handling and input validation.
- Added new utility functions for parsing search queries and building exercise payloads from drafts.
- Added `exercise_instruction_rewrite` functionality to enhance AI-generated instructions, incorporating fields for goal, execution, preparation, and trainer notes.
- Updated `ExerciseFormAiPromptContext` to include new fields and methods for instruction handling.
- Enhanced the `run_exercise_form_ai_suggestion` function to support instruction rewriting and validation.
- Modified API endpoints and frontend components to integrate instruction features, including a new button for AI instruction revision.
- Incremented application version to 0.8.163 and updated changelog to reflect these changes, including migration details and new functionality.
- Introduced detailed logging for AI operations in the `exercise_ai` and `openrouter_chat` modules, activated by the `SHINKAN_AI_DEBUG` environment variable, to aid in debugging and performance monitoring.
- Updated the `run_exercise_ai_suggestion` function to log prompt lengths, response sizes, and JSON parsing errors, enhancing transparency in AI interactions.
- Improved the `_flatten_message_content` function to handle nested content structures more effectively, ensuring compatibility with various AI response formats.
- Incremented the application version to 0.8.157 and updated the changelog to reflect these enhancements, including new logging features and content handling improvements.
- Introduced migration 068 for `ai_skill_retrieval_profiles`, enabling configurable weights and quotes for skill catalog prioritization in exercise AI suggestions.
- Updated the `POST /api/exercises/ai/suggest` endpoint to include an optional `focus_areas_context` field, allowing for enhanced context in AI-generated suggestions.
- Enhanced the `exercise_ai` module to utilize context-based skill selection, incorporating scoring, category caps, and keyword patches for improved AI responses.
- Updated the ExerciseFormPageRoot component to pass focus area context to the AI suggestion API, streamlining user interaction with AI-generated content.
- Incremented version numbers in `backend/version.py` to reflect the latest changes and ensure accurate tracking in the changelog.
- Updated the AI Exercise Implementation Plan to include a detailed description of the new suggestion dialog for AI proposals, allowing users to preview and selectively adopt AI-generated summaries and skills.
- Implemented a new preview feature in the ExerciseFormPageRoot component, enabling users to review AI suggestions before applying them to the form.
- Enhanced the skill management process by normalizing AI-suggested skills and integrating them into the exercise form, improving user interaction and data handling.
- Updated the exercise form to include a tabbed navigation structure, improving user experience with sections for Stammdaten, Anleitung, Einordnung, Varianten, and Medien & Mehr.
- Introduced the concept of **Freigabelevel** (visibility level) in the UI, replacing previous terminology for clarity and consistency across components.
- Implemented new AI endpoints for exercise suggestions and regeneration, allowing for dynamic content generation without direct database writes.
- Removed the legacy `is_primary` flag from exercise skills in the UI, ensuring that intensity levels (`niedrig`, `mittel`, `hoch`) are the primary focus for skill management.
- Enhanced the variant management process with improved saving mechanisms and UI updates to reflect changes more intuitively.
- 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 a tabbed interface for the exercise form, allowing users to navigate between different sections (Stammdaten, Anleitung, Einordnung, etc.) more intuitively.
- Added new CSS styles for the exercise form, including improved layout and visual differentiation for various sections.
- Implemented dynamic tab management based on exercise type and edit state, enhancing user experience during form interactions.
- Refactored existing components to integrate the new tab structure, ensuring a cohesive design and functionality across the exercise form.
- Introduced snapshot and dirty check functions for variant payloads, enabling better tracking of unsaved changes.
- Implemented synchronization of saved variant snapshots to improve data integrity during edits.
- Enhanced the variant saving process with validation for variant names and automatic saving of changes.
- Updated the UI to reflect changes in variant management, ensuring a smoother user experience when editing exercise variants.
- Added a new meta panel for exercise classification and target groups, improving the organization of exercise attributes.
- Introduced ExerciseCatalogAssocEditor component to manage focus areas, training styles, and target groups, enhancing user interaction.
- Refactored CSS styles for the new meta panel and associated components, ensuring a cohesive design and improved responsiveness.
- Removed the MultiAssocBlock component to streamline the code and improve maintainability.
- Introduced a new constant, VARIANT_DIFFICULTY, to define difficulty options for exercises.
- Improved code organization by separating the import statements for better readability.
- 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 a `defaultCollapsed` prop in `SkillTreeMultiSelect` and `SkillTreePickerPanel` to control the initial expansion state of skill trees.
- Updated `SkillTreeSelect` to accept a `defaultCollapsed` prop, enhancing flexibility in component usage.
- Adjusted state management in `SkillTreePickerPanel` to respect the `defaultCollapsed` setting, improving user interaction with skill selection.
- Introduced new `SkillTreeSelect` and `SkillTreeMultiSelect` components for enhanced skill selection in various modals and forms.
- Updated API calls to use `listSkillsCatalog` instead of `listSkills` for improved data retrieval.
- Enhanced CSS styles for skill selection components to improve user experience and visual consistency across the application.
- Replaced `PageReturnLink` with `PageReturnButton` for consistent back navigation across various pages.
- Updated multiple components, including `ExercisePeekModal`, `PageFormEditorChrome`, and `ExerciseDetailPage`, to utilize the new return context features.
- Enhanced CSS styles for the new return button to improve visual consistency.
- Improved navigation logic in `TrainingFrameworkProgramEditPage` and `TrainingModuleEditPage` to ensure seamless user experience when navigating back to previous locations.
- Introduced a new `PageReturnLink` component for consistent back navigation across pages.
- Updated `SaveSelectedExercisesAsModuleModal` and `SaveExercisesAsModuleModal` to utilize `navigateWithAppReturn`, preserving navigation context when redirecting after saving.
- Enhanced `TrainingModuleEditPage` and `TrainingUnitEditPage` with improved return context handling, allowing users to navigate back to their previous locations seamlessly.
- Added CSS styles for the new return link to improve visual consistency and user experience.
- Introduced new CSS styles for exercise cards and selection sections, improving visual feedback for selected exercises.
- Updated ExerciseListCard to support a new `selectionPinned` prop, allowing for a badge display on selected exercises.
- Refactored selection handling in ExercisesListPageRoot to manage selected entries more effectively, replacing the previous Set-based approach.
- Enhanced SaveSelectedExercisesAsModuleModal to support appending exercises to existing modules, improving module management capabilities.
- Updated session state handling to include selected entries, ensuring persistence across sessions.
- Added clickable behavior to exercise card body, allowing users to navigate to exercise details by clicking anywhere on the card.
- Introduced keyboard accessibility for exercise cards, enabling navigation via Enter and Space keys.
- Updated ExerciseListBulkToolbar to include a new button for saving selected exercises as a module, enhancing bulk action capabilities.
- Improved CSS styles for clickable exercise card body to indicate interactivity.
- Added a new `handleSaveAndClose` function to allow users to save and navigate back to the exercise list.
- Updated `performSaveAttempt` to accept a `closeAfter` parameter for conditional navigation.
- Refactored form submission handling to include separate actions for saving and saving with closure.
- Integrated `PageFormEditorChrome` for improved layout and user experience, including a back navigation option.
- Updated the `list_exercises` function to include counts for exercise variants and media, improving data retrieval for exercise details.
- Added new CSS styles for the exercise card footer to display variant and media statistics in a visually appealing manner.
- Implemented `ExerciseCardContentStats` component to conditionally render variant and media counts, enhancing the user interface of exercise cards.
- Bumped APP_VERSION to 0.8.132 and updated the changelog to reflect recent changes.
- Removed unused imports and refactored the ExerciseFormPage, ExercisesListPage, and TrainingPlanningPage for improved code clarity and maintainability.
- Enhanced the overall structure of the components by eliminating redundant code and optimizing imports.
- Bumped APP_VERSION to 0.8.125 and updated the changelog to reflect recent changes.
- Added new tests for the dashboard API to ensure proper HTTP 200 responses when inner lists are mocked.
- Enhanced the ExerciseListBulkToolbar component with a data-testid for improved testing capabilities.
- Refactored the TrainingPlanningPage by extracting utility functions to trainingPlanningPageHelpers for better code organization.
- Bumped APP_VERSION to 0.8.124 and updated the changelog to reflect recent changes.
- Introduced the ExerciseListBulkToolbar component in ExercisesListPage for improved bulk action handling.
- Enhanced the user interface for selecting and managing exercises in bulk.
- Bumped APP_VERSION to 0.8.121 and updated the changelog to reflect new features.
- Introduced the ExerciseListFilterModal and ExerciseListBulkModal components, enhancing the exercise list functionality.
- Modularized the ExerciseListPage to improve code organization and maintainability.
- Added Playwright tests for the filter dialog functionality, ensuring proper user interaction and visibility.
- Bumped APP_VERSION to 0.8.119 and updated the changelog to reflect new features.
- Introduced the ExerciseListCard component and implemented lazy loading for the Progression Tab using React's Suspense.
- Enhanced the ExercisePickerModal with virtualization for improved performance using @tanstack/react-virtual.
- Updated documentation to reflect the new app version and its corresponding changes.
