- Implemented a maximum of 3 exercises per preview request to prevent Gateway-504 errors, improving the stability of the exercise enrichment process.
- Adjusted batch sizes for applying exercises and previewing to optimize performance and resource management.
- Updated the frontend to reflect changes in preview handling, including user notifications about chunk sizes and potential timeouts.
- Incremented version to 0.8.180 and updated changelog to document these enhancements and fixes.
- Introduced the `exercise_enrichment_admin` API for batch exercise enrichment, allowing superadmins to filter candidates, preview, and apply skills.
- Updated the access layer documentation to include the new endpoint and its exempt status.
- Enhanced the frontend with a new admin page for exercise enrichment and updated navigation to include this feature.
- Incremented version to 0.8.179 and updated changelog to reflect these additions and improvements.
- Implemented optional LLM-Rerank functionality in the planning exercise suggestion process, allowing for improved exercise ranking based on user-defined criteria.
- Updated the `suggestPlanningExercises` API to accept `planned_exercise_ids` for client-side overrides, enhancing flexibility in exercise selection.
- Enhanced the `ExercisePickerModal` to reflect LLM ranking status and support new planning context features.
- Incremented application version to 0.8.170 and updated changelog to document the new features and improvements in the planning AI capabilities.
- Added new planning AI functionality with the introduction of the `suggestPlanningExercises` API endpoint for context-based exercise suggestions.
- Enhanced `ExercisePickerModal` to utilize planning context, allowing for a more tailored exercise selection experience.
- Updated `TrainingUnitEditPage` to pass planning context to the exercise picker, improving integration with the new planning features.
- Incremented application version to 0.8.167 and updated changelog to reflect the new planning AI capabilities and related enhancements.
- 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 `ExerciseFormAiPromptContext` for unified handling of prompt-related data, enhancing the admin preview and exercise API.
- Added `run_exercise_form_ai_suggestion` function to streamline AI suggestion processing, integrating with the OpenRouter.
- Updated various modules to utilize the new context model, improving code clarity and reducing redundancy.
- Incremented application version to 0.8.162 and updated changelog to reflect these changes, including migration details and new functionality.
- Added `openrouter_model` field to the `ai_prompts` table, allowing for optional model overrides per prompt.
- Updated the `exercise_ai` module to utilize the effective OpenRouter model based on prompt-specific settings, enhancing flexibility in AI interactions.
- Enhanced the admin interface to support OpenRouter model configuration for prompts, improving usability for Superadmins.
- Incremented application version to 0.8.161 and updated changelog to reflect these changes, including migration details and new functionality.
- Introduced `load_and_render_ai_prompt` and `render_ai_prompt_template_for_row` in `ai_prompt_runtime` to streamline prompt loading and rendering processes.
- Added `AiPromptUnavailableError` for better error handling when prompts are inactive or missing.
- Created `ai_prompt_job` module with `ExerciseFormAiPromptContext` and `resolve_exercise_form_variables` to support admin preview functionality.
- Updated documentation and target architecture to reflect changes in the AI prompt system.
- Incremented application version to 0.8.160 and updated changelog accordingly.
- Added the `matrix_editor` endpoint to the ACCESS_LAYER_ENDPOINT_AUDIT.md, specifying its access requirements and exempt status for superadmins.
- Updated comments in the `matrix_editor.py` file to clarify its role as a superadmin tool and its access restrictions.
- Included the `matrix_editor.py` in the EXEMPT_ROUTERS list in the access layer hints script, ensuring proper access control documentation.
- Added new functionality for exporting and importing matrix editor data in JSON and CSV formats within the MaturityMatrixToolsAdmin component.
- Updated the API utility functions to support matrix editor exports and imports, enhancing the backend communication for Superadmin tasks.
- Refactored the client API to streamline request handling and improve code clarity.
- Included new UI elements for file upload and download actions, improving user experience in managing matrix data.
- Incremented version to 1.1 and updated the status to reflect the implementation of core features including `ai_prompts`, `prompt_resolver`, and the Superadmin HTTP API.
- Documented the current API endpoints for managing AI prompts, including CRUD operations and preview functionality.
- Introduced a new placeholder catalog and preview capabilities for the Superadmin interface.
- Enhanced the backend with new functions for handling AI prompt templates and integrated them into the API.
- Updated frontend components to include navigation and routing for the new Admin AI Prompts page.
- Incremented application version to 0.8.158 and updated changelog to reflect these changes.
- 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.
- 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.
- 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.
- 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.
- 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 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.
- 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 0.8.138 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.
- 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 0.8.130 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 0.8.123 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 0.8.118 and updated DB_SCHEMA_VERSION to 20260514062.
- Enhanced the dashboard API with a new endpoint that consolidates training home data, allowing for a single request to retrieve upcoming training sessions, planned sessions with notes, and review pending items.
- Updated the frontend Dashboard component to utilize the new API structure, improving data loading efficiency and user experience.
- Added migration details and changelog entries to reflect the latest changes and improvements.
- Bumped APP_VERSION to 0.8.117 and updated DB_SCHEMA_VERSION to 20260514061.
- Enhanced the training units API with optional keyset pagination, allowing for more efficient data retrieval.
- Updated the changelog to reflect the new features and improvements, including changes to the frontend API integration for training units.
- Adjusted documentation to align with the new app version and its corresponding changes.
- Bumped APP_VERSION to 0.8.115 and updated the changelog to reflect changes, including the introduction of keyset pagination for the GET /api/exercises endpoint.
- Enhanced the exercises router to support cursor-based pagination using cursor_updated_at and cursor_id, improving performance and user experience.
- Updated frontend components to utilize the new pagination method, removing offset-based loading logic.
- Implemented a new API endpoint for retrieving dashboard KPIs, providing a consolidated overview of drafts, personal exercises, and year-to-date completed units.
- Updated the Dashboard component to utilize the new endpoint, enhancing data retrieval efficiency and user experience.
- Added a helper function in the exercises router for programmatic access to exercise listings.
- Updated versioning and changelog to reflect the addition of the dashboard feature.
- Integrated PsycopgJson for improved handling of planning method profiles in the backend.
- Updated CombinationPlanBracket to display primary load labels for better clarity in the UI.
- Enhanced TrainingUnitSectionsEditor and utility functions to ensure proper serialization of planning profiles, preventing potential errors during API interactions.
- Improved CSS for combo plan brackets to enhance visual alignment and presentation.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Updated app version to 0.8.110, reflecting recent improvements in combination exercise handling.
- Introduced `load_combination_slots_for_exercise` function to streamline fetching combination slots for exercises.
- Enhanced `TrainingPlanningPage` and `ExercisePeekModal` to utilize the new combination slots functionality, improving user experience.
- Updated changelog to document the latest changes and feature enhancements.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Updated app version to 0.8.103, reflecting recent enhancements in training planning.
- Incremented database schema version to 20260512057, ensuring compatibility with new features.
- Introduced optional `planning_method_profile` for combination exercises, allowing for detailed planning and coaching support.
- Enhanced frontend components to manage and display planning method profiles effectively in the Training Unit Sections Editor and ExerciseFullContent.
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>
- Updated app version to 0.8.99, reflecting the addition of combination exercises.
- Implemented new data structures and validation for combination slots and archetypes in the backend.
- Enhanced frontend components to support selection and display of combination exercises, including new UI elements for managing slots and archetypes.
- Updated API payload handling to accommodate new exercise types and their associated data.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Introduced `training_planning_prefs` field in the ProfileUpdate model to store user-specific UI options for training planning.
- Updated the backend to handle the new preferences during profile updates, ensuring proper validation and storage.
- Enhanced the frontend to allow users to select their preferred display mode for training modules in the Account Settings page.
- Updated version to 0.8.98 and adjusted database schema version accordingly, reflecting the new feature integration.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Introduced a new function to handle optional source training module IDs, ensuring proper validation and integration.
- Updated the backend to include source training module ID and title in section items, allowing for better tracking of module origins.
- Enhanced the frontend to display module bands in the Training Unit Sections Editor, improving user experience by indicating the source of exercises and notes.
- Added functionality to insert training modules at specified positions within sections, providing users with more control over their training plans.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Added new API endpoints for managing training modules, including listing, creating, updating, and deleting modules.
- Implemented the ability to apply training modules to training units, allowing users to copy module content into specific sections.
- Enhanced the frontend with new pages for managing training modules and integrated modal functionality for applying modules within the training planning page.
- Updated version to 0.8.97 and adjusted database schema version accordingly.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add early 403 in set_legal_hold_from_report for plain admin (before DB
call), fixing test_legal_hold_from_report_requires_superadmin
- Update test_list_inbox_requires_platform_admin to mock DB COUNT query
(returns cnt=0) so it exercises the club_admin code path correctly
- Extend test_patch_report_under_review mock row with target_type,
target_id, resolution_note fields now required by the audit-log path
version: 0.8.94
module: content_reports 1.5.1
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
