- Added a new function `_first_balanced_json_array` to extract the first complete top-level JSON array from arbitrary text, enhancing robustness in parsing.
- Updated the `run_exercise_ai_suggestion` function to raise clear HTTP exceptions for empty responses from the OpenRouter, ensuring better error handling.
- Introduced `_flatten_message_content` in the `openrouter_chat` module to handle structured message content from OpenAI, improving compatibility with various content formats.
- Incremented the application version to 0.8.156 and updated the changelog to reflect these enhancements, including improved error messages and JSON parsing capabilities.
- Introduced a new constant `_MAX_SANITIZE_SKILL_INPUT_ROWS` to limit the number of skill entries processed, improving performance and preventing issues with excessively long skill arrays.
- Updated the `_extract_json_array` and `_sanitize_skill_entries` functions to enforce this limit, ensuring that only a maximum of 250 skill entries are handled and that processing stops after 5 valid entries.
- Incremented the application version to 0.8.155 and updated the changelog to reflect these changes, including a note on the improvements made to the AI endpoint for skill arrays.
- Added documentation for the new Superadmin CRUD endpoints for managing AI Skill Retrieval Profiles (`/api/admin/ai-skill-retrieval-profiles*`).
- Updated the ACCESS_LAYER_ENDPOINT_AUDIT.md to include the new Superadmin API and its exempt status.
- Registered the ai_skill_retrieval_admin router in the backend and updated versioning to reflect the changes.
- Enhanced the frontend with a new Admin page for AI Skill Retrieval, including navigation and API integration for profile management.
- 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.
- Incremented the version number from 0.2 to 0.3 in the AI Training Planning document to reflect the latest changes.
- Added a new reference to the `working/AI_PLANNING_KI_MULTISTAGE_FORECAST.md` document, outlining the architecture preview for the planning AI.
- Updated the changelog in `backend/version.py` to include the latest version entry, ensuring accurate tracking of changes.
- 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.
- 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 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.
- Modified the `compact_profile_summary` function to allow for dynamic skill and category limits, enhancing flexibility in profile data retrieval.
- Updated frontend components to display skill weights and scores more effectively, improving user interaction with skill metrics.
- Adjusted CSS styles for skill KPI tiles to better differentiate between score and percentage displays, ensuring a clearer visual representation.
- Refactored utility functions to streamline skill summary handling, enhancing overall code maintainability and performance.
- Introduced a new function to calculate club-specific skill percentages, ensuring values are capped at 100%.
- Updated skill profile calculations to include indicators for the best club performance per skill.
- Enhanced frontend components to display club best indicators and improved layout for skill profiles.
- Refactored CSS styles for skill profile components, ensuring a more cohesive and user-friendly interface.
- Updated tests to validate new functionality and ensure accurate representation of skill metrics.
- Updated the skill scoring specification to include club-specific metrics and improved aggregation methods for skill profiles.
- Introduced new API endpoints for batch skill profile summaries, allowing for efficient retrieval of compact skill data.
- Enhanced frontend components to display skill profiles with club comparisons, improving user interaction and visibility of skill strengths.
- Added filtering options for skills in the framework programs, enabling users to refine selections based on training weight relative to club maximums.
- Improved CSS styles for skill profile displays, ensuring a cohesive and user-friendly interface across the application.
- Enhanced the skill scoring system with category grouping and a universal scale for improved comparability across programs.
- Introduced new calculations for artifact share percentage and universal percent, allowing for a more nuanced understanding of skill contributions.
- Updated the API to reflect changes in the skill profile structure, including main category and top skill details.
- Improved frontend components to display skills by main category, enhancing user experience in skill discovery and profile visualization.
- Adjusted tests to validate the new scoring logic and ensure accurate representation of skills and their weights.
- 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.
- Added SQL aggregations for session duration (min/max) and goal titles in the training framework programs query.
- Updated the TrainingPlanningFrameworkImportModal component to include filtering options for focus areas, training types, and target groups.
- Implemented session duration display in the TrainingFrameworkProgramsListPage, improving user visibility of program details.
- Introduced utility functions for formatting session duration ranges, enhancing the overall user experience in training planning.
- Bumped application version to 0.8.150 and updated build date and database schema version.
- Introduced new SQL migration for planned duration fields in training units and sections.
- Added functions to handle focus areas and style directions in training framework programs.
- Enhanced training planning components to support planned duration input and display.
- Updated frontend components to manage and display planned duration for training units and sections.
- 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.
- Added Vitest as a testing framework and included test scripts in package.json for improved testing capabilities.
- Refactored TrainingPlanningPageRoot component by removing unused state variables and imports, streamlining the code for better readability and performance.
- Introduced new utility functions for planning routes to enhance navigation within the training planning interface.
- Incremented app version to 0.8.148 and updated changelog to reflect new features.
- Improved the training plan template structure by adding a preview of sections, including support for split sessions.
- Introduced a new editing page for training plan templates, allowing users to modify templates directly.
- Enhanced the TrainingPlanningPageRoot to include a description field when saving templates, improving user guidance.
- Updated permissions to allow editing of training plan templates based on user roles.
- Incremented app version to 0.8.146 and updated changelog to include the new version details.
- Documented the addition of the publish-to-framework feature for training units, enhancing the training planning capabilities.
- Incremented app version to 0.8.147 and updated changelog to reflect the new version.
- Introduced a new modal for saving exercises as training modules within the training planning interface.
- Enhanced the TrainingPlanningPageRoot component to manage the new save module functionality, including state management for the modal.
- Updated the TrainingPlanningUnitFormModal to include an option for saving exercises as a module, improving user experience in training planning.
- Incremented app version to 0.8.146 and updated build date to 2026-05-19.
- Added new API endpoint to publish training units as session blueprints to framework programs.
- Introduced frontend functionality to support publishing training units, including a modal for user interaction.
- Updated changelog to reflect the new feature and its associated changes.
- 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.
- Introduced new functions for managing edit, delete, and governance transition permissions for library content, aligning with role-based access control (RBAC) principles.
- Updated existing routers to utilize these new functions, ensuring consistent permission checks across training frameworks, modules, and progression graphs.
- Enhanced visibility and governance handling for training plan templates and library content, improving overall content management and user experience.
- Incremented app version to 0.8.142 and updated changelog to reflect these changes.
- Incremented app version to 0.8.141 and updated build date to 2026-05-14.
- Modified the planning module version to 0.12.0, improving template section handling with phase metadata.
- Introduced new functions for normalizing and inserting training plan template sections, ensuring accurate phase representation during saves.
- Updated frontend components to utilize new utility functions for managing training plan templates, enhancing user experience and data integrity.
- Enhanced phase handling in training unit hydration and insertion processes, ensuring better data integrity.
- Updated frontend components to support phase representation in training framework slots.
- Improved user interface controls for managing parallel phases, optimizing user experience during training program edits.
- Refactored payload building functions to accommodate phase adjustments, enhancing save functionality for training plans.
- Updated backend logic to include phases in training unit hydration and insertion processes, improving data integrity.
- Modified frontend components to support phases in training framework slots, ensuring consistent data representation.
- Refactored payload building functions to accommodate phases, enhancing the save functionality for training plans.
- Improved user interface to enable controls for parallel phases, optimizing the user experience during training program edits.
- Updated the backend logic to ensure strict ordering of phase indices, preventing UNIQUE constraint violations when phases are duplicated.
- Enhanced the TrainingUnitSectionsEditor component with new state management for editing phase titles and stream names, improving user interaction.
- Implemented conditional rendering for input fields to facilitate inline editing of phase titles and stream names, streamlining the editing process.
- Bumped APP_VERSION to 0.8.140 and updated the changelog to reflect recent changes.
- Enhanced the Training Planning Module with new controls for managing whole group and parallel phases, including the ability to add streams to existing parallel phases.
- Introduced utility functions for handling phase and stream configurations, improving the overall structure and usability of the training unit sections editor.
- Updated the TrainingPlanningUnitFormModal to support the new phase controls, ensuring seamless integration with the frontend components.
- Bumped APP_VERSION to 0.8.139 and updated the changelog to reflect recent changes.
- Enhanced the Training Planning Module to support new phase handling, including improved labeling for sections in the editor.
- Updated the API payload structure to accommodate parallel streams and phases, ensuring better integration with the frontend components.
- Refactored utility functions for improved clarity and maintainability in handling training unit sections and phases.
- Bumped APP_VERSION to 0.8.138 and updated the changelog to reflect recent changes.
- Enhanced training unit planning with support for POST/PUT requests including phases and parallel streams.
- Fixed role assignment validation for stream co-trainers and added integration tests for phase handling.
- Updated the training planning API to improve data structure and retrieval for nested phases and sections.
- Enhanced the pytest workflow in `.gitea/workflows/test.yml` to include `TRAINING_PLANNING_INTEGRATION` for improved testing against the PostgreSQL database.
- Updated `pytest.ini` to clarify integration marker usage, specifying both `ACCESS_LAYER_INTEGRATION` and `TRAINING_PLANNING_INTEGRATION`.
- Revised documentation in `test_training_planning_sections_integration.py` to provide clearer activation instructions for local and CI environments.
- Bumped APP_VERSION to 0.8.137 and updated the changelog to reflect recent changes.
- Introduced Migration 063 for training unit phases and parallel streams, enhancing the structure of training units.
- Updated the training planning API to support nested phases and sections, improving data retrieval for UI components.
- Enhanced section handling to accommodate new phase and stream structures, ensuring compatibility with existing workflows.
- Updated the backend to improve the fetching and insertion of training unit sections, including a new function for handling section items.
- Added documentation notes regarding the unique constraint on `training_unit_sections` and the implications for parallel training streams.
- Updated frontend components and utility functions to reflect changes in the training planning API and to prepare for future enhancements related to parallel streams.
- Bumped APP_VERSION to 0.8.136 and updated the changelog to reflect recent changes.
- Fixed the Mandanten-Header handling in `api/exercises.js` for improved API requests.
- Continued Frontend Phase 4 with the addition of the `exercises.js` module, enhancing the API structure.
- Updated architecture documentation to include details on the new `exercises.js` API and its integration with the existing client structure.
- Enhanced `utils/api.js` to re-export the new exercises module, streamlining API access.
- Bumped APP_VERSION to 0.8.134 and updated the changelog to reflect recent changes.
- Continued Frontend Phase 4 with the introduction of the `frontend/src/api/planning.js` module for training planning.
- Updated architecture documentation to include details on the new `planning.js` API and its integration with the existing client structure.
- Enhanced `utils/api.js` to re-export the new planning module, streamlining API access.
- Bumped APP_VERSION to 0.8.133 and updated the changelog to reflect recent changes.
- Initiated Frontend Phase 4 Welle 1, introducing a centralized HTTP client in `frontend/src/api/client.js` while maintaining `utils/api.js` as a facade.
- Documented the changes in the architecture roadmap and README for clarity on the new API structure.
- 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 0.8.131 and updated the changelog to reflect recent changes.
- Added the TrainingPlanningUnitFormModal component to the TrainingPlanningPage for enhanced training unit management.
- Refactored frameworkLineageText utility function for better code organization and reusability in the training planning context.
- Updated BASELINE_SNAPSHOT documentation to include new metrics and logging details for k6 health checks.
- Bumped APP_VERSION to 0.8.130 and updated the changelog to reflect recent changes.
- Fixed PUT/POST for training_units to handle assistant_trainer_profile_ids as JSONB using psycopg2.extras.Json, resolving a ProgrammingError during co-assignment.
- Bumped APP_VERSION to 0.8.129 and updated the changelog to reflect recent changes.
- Added the TrainingPlanningTrainerAssignModal component to the TrainingPlanningPage for enhanced trainer assignment functionality.
- Implemented new callback functions for managing lead trainer and assistant assignments in the training planning process.
- Bumped APP_VERSION to 0.8.128 and updated the changelog to reflect recent changes.
- Added the TrainingPlanningModuleApplyModal component to the TrainingPlanningPage for enhanced training module application functionality.
- Implemented a new callback function onModuleApplySectionIndexChange to manage module application section index changes.
- Bumped APP_VERSION to 0.8.126 and updated the changelog to reflect recent changes.
- Added the TrainingPlanningFrameworkImportModal component to the TrainingPlanningPage for improved training session management.
- Implemented a new Playwright test to verify the functionality of the framework import dialog in the training planning page.
- 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 0.8.123 and updated the changelog to reflect recent changes.
- Fixed internal calls in GET /api/dashboard/kpis to use unwrap_query_default, preventing 500 errors due to FastAPI query defaults.
- Enhanced list_exercises and list_training_units functions to utilize unwrap_query_default for improved query handling.
- Added unit tests for unwrap_query_default to ensure correct behavior in various scenarios.
- Bumped APP_VERSION to 0.8.122 and updated the changelog to reflect new features.
- Integrated useExerciseListCatalogsAndQuery hook in ExercisesListPage for improved exercise list management and data fetching.
- Enhanced documentation to include new concepts for parallel training streams and their technical specifications.
- Updated DOMAIN_MODEL and related technical specs to clarify the structure and functionality of training streams within units.
- 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.
