- Introduced a roadmap-first approach for the planning AI, allowing for a structured progression graph that aligns with the overall project roadmap.
- Added new functionality to strip off-topic steps from exercise paths, improving the relevance of generated exercise suggestions.
- Implemented a detailed goal text generation for AI proposals, enhancing the context provided for new exercises.
- Updated the ExerciseProgressionPathBuilder component to support new features, including roadmap previews and improved focus area handling.
- Incremented application version to 0.8.205 and updated database schema version to 20260606086 to reflect these changes.
- Introduced a new admin user content management endpoint for superadmins, allowing for moderation of user-generated content.
- Updated the backend to include new API functions for retrieving, patching, and deleting user content items.
- Enhanced the frontend with a new Admin User Content page and navigation link for easy access to user content management.
- Updated access layer documentation to reflect the new endpoint and its exempt status.
- Incremented version to 0.8.191 and updated changelog to document these additions in admin functionality.
- Introduced path reordering functionality using LLM with `ordered_step_indices`, allowing for dynamic adjustment of exercise progression paths.
- Added AI gap filling capabilities, enabling the system to propose new exercises when unbridgeable gaps are detected.
- Updated the backend to support new request parameters for path reordering and AI gap filling.
- Enhanced frontend components to reflect these new features, including alerts for AI proposals and adjustments in exercise display.
- Incremented version to 0.8.187 and updated changelog to document these significant enhancements in planning AI functionality.
- Introduced new functions to load exercise goals and variant names in chunks, improving data retrieval efficiency.
- Integrated semantic scoring into the ranking logic, allowing for more nuanced exercise suggestions based on semantic relevance.
- Updated the planning exercise suggestion process to include semantic brief handling, enriching the context for exercise recommendations.
- Adjusted the retrieval phase to incorporate dynamic retrieval weights based on semantic strength, enhancing the overall suggestion accuracy.
- Incremented version to 0.8.186 and updated changelog to reflect these significant enhancements in planning AI functionality.
- 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.
- Incremented version to 0.8.183, reflecting the implementation of Phase C1 enhancements.
- Added support for progression graph auto-matching and variant-aware successors in exercise suggestions.
- Updated request and response structures to include `anchor_exercise_variant_id`, `progression_graph_name`, and `suggested_variant_id`.
- Enhanced frontend components to integrate planning AI search capabilities, including a new modal for exercise creation and improved context display in the exercise list.
- Updated changelog to document these significant improvements in planning AI functionality.
- 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.
- Introduced the Scenario Pipeline for planning exercises, allowing for more nuanced query handling and exercise suggestions based on user intent.
- Enhanced the `suggestPlanningExercises` API to include `include_llm_intent`, `scenario_kind`, and `query_intent_summary`, improving the context provided to the frontend.
- Updated the `ExercisePickerModal` to display new information related to query intent and scenario classification, enhancing user experience during exercise selection.
- Incremented application version to 0.8.171 and updated changelog to document the new features and improvements in the planning AI capabilities.
- 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.
- Implemented Phase 1.1 of the planning exercise suggestion functionality, integrating `ExerciseMatchProfile` and `PlanningTargetProfile` for improved exercise scoring based on profile dimensions.
- Updated the `suggestPlanningExercises` API to include a new `retrieval_phase` and `target_profile_summary`, enhancing the context provided to the frontend.
- Enhanced the `ExercisePickerModal` to display additional information from the planning target profile, including focus areas and top skills, improving user experience during exercise selection.
- Incremented application version to 0.8.169 and updated changelog to reflect 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 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.
- 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 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.
- 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.
- 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 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.
- 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.
- 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>
- Updated app version to 0.8.109, reflecting recent improvements in combination exercise handling.
- Introduced `rep_series_count` for slot profiles, allowing for multiple series in `rep` and `manual` modes, enhancing flexibility in exercise configurations.
- Updated the CombinationMethodProfileEditor and CombinationCoachSlots components to support and display the new series count feature.
- Enhanced ExerciseFormPage to manage series count and intra-series pauses effectively, improving user experience.
- Documented changes in the changelog for better tracking of feature enhancements.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Updated app version to 0.8.104, reflecting recent improvements in combination exercise handling.
- Enhanced the CombinationMethodProfileEditor to support structured slot timing profiles without requiring JSON input from trainers.
- Introduced quick ratio presets for circuit and interval training methods, improving user experience in setting up training profiles.
- Updated documentation and changelog to reflect new features and integration details.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Updated app version to 0.8.102, reflecting recent enhancements in combination exercises.
- Introduced structured method profiles for combination exercises, allowing for detailed planning and coaching support.
- Enhanced frontend components to display method profiles in the Exercise and Combination Coach views.
- Updated documentation to include new specifications and implementation details for method archetypes and profiles.
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>
- Introduced a centralized media archive (`/media`) with lifecycle management, including soft delete and recovery options.
- Enhanced media upload functionality to support multiple files and automatic type inference.
- Updated documentation to reflect the new media architecture and inline media linking specifications.
- Version bump to 0.8.59 to accommodate changes in media handling and database schema.
Co-authored-by: Cursor <cursoragent@cursor.com>
- Introduced new API endpoints for bulk lifecycle actions and bulk patching of media assets, allowing for more efficient management of multiple assets.
- Updated media lifecycle permissions to restrict actions based on user roles, ensuring that only superadmins can perform critical operations like purging and force lifecycle changes.
- Enhanced frontend components to support new bulk actions and improved user experience in the media library, including visibility and copyright management.
- Incremented version to 0.8.49, reflecting the latest improvements in media handling and governance.
- Updated media library to include lifecycle filtering options (active, trash_soft, trash_hidden) and copyright management capabilities.
- Implemented new API endpoints for listing media assets with lifecycle states and patching copyright notices.
- Enhanced frontend components to support navigation to the media library and integration of media management features in the ExerciseFormPage.
- Incremented version to 0.8.48, reflecting the latest improvements in media handling and governance.
- Enhanced exercise update functionality to support the promotion of attached media assets to 'official' status, requiring active visibility and copyright validation.
- Updated backend API to handle new fields for promoting media and setting default copyright notices during exercise updates.
- Improved frontend error handling to prompt users for confirmation when promoting media assets, including checks for copyright compliance.
- Incremented version to 0.8.47, reflecting the latest changes in media management and governance.
- Added a new action to the media asset lifecycle for reactivating assets from the trash, allowing users to restore previously deleted media.
- Updated the backend API to handle reactivation requests and ensure proper state transitions for media assets.
- Enhanced frontend error handling to prompt users for reactivation when attempting to upload media that matches an existing asset in the trash.
- Incremented version to 0.8.45, reflecting the latest changes in media lifecycle management and user experience improvements.
- Updated project status to reflect the latest media management milestones and version increment to 0.8.44.
- Enhanced MEDIA_ASSETS_AND_ARCHIVE_SPEC.md with new API details for media asset lifecycle and inline media integration.
- Improved exercise media handling in the frontend, including new preview features and user prompts for media deletion.
- Adjusted backend API to ensure proper handling of media asset deletions without removing files, maintaining governance and user experience.
- Added new API endpoints for listing media assets and attaching existing archive media to exercises, improving media reuse and governance.
- Updated frontend components to support media asset selection from the archive, enhancing user experience and reducing duplication.
- Incremented version to 0.8.43, reflecting the latest changes in media handling and exercise integration.
- Implemented media lifecycle management with new API endpoints for handling asset states (trash_soft, trash_hidden, recover, purge), improving media governance.
- Updated frontend components to filter and display media based on lifecycle states, enhancing user experience and visibility.
- Enhanced documentation in MEDIA_ASSETS_AND_ARCHIVE_SPEC.md to include guidelines for inline media references in exercise texts, establishing a clear implementation plan.
- Incremented version to 0.8.42, reflecting the latest changes in media handling and lifecycle management.
- Added new documentation for media assets and lifecycle management, establishing a single source of truth in MEDIA_ASSETS_AND_ARCHIVE_SPEC.md.
- Updated project status to reflect the addition of media archive and lifecycle governance.
- Introduced a new API endpoint for platform media storage, allowing superadmin access for media management.
- Enhanced exercise media handling with improved database integration for media assets, including deduplication and effective media root resolution.
- Updated frontend API utilities to support new media storage functionalities, ensuring seamless integration with the backend.
- Incremented version to 0.8.41, reflecting the latest changes and improvements in media handling.
- Added Content-Security-Policy header to nginx configuration for SPA, enhancing security against XSS attacks.
- Introduced middleware in FastAPI to set X-Content-Type-Options header, preventing MIME-sniffing vulnerabilities.
- Updated production readiness audit and access layer endpoint audit to reflect security enhancements and ongoing governance practices.
- Added tests to verify the presence of security headers in API responses, ensuring compliance with security standards.
- Updated PostgreSQL binding in docker-compose to restrict access to localhost only.
- Implemented a new API endpoint for secure media file delivery, requiring authentication via token.
- Enhanced governance checks for exercise media access, ensuring only authorized users can retrieve files.
- Updated frontend components to utilize the new media file access method, improving user experience while maintaining security.
- Documented changes in production readiness audit and access layer endpoint audit for clarity on security enhancements.
- Added functions to determine production environment and OpenAPI exposure settings, improving API documentation control.
- Updated FastAPI initialization to conditionally set OpenAPI and documentation URLs based on environment variables.
- Refactored health check response to limit detail exposure in production environments, enhancing security.
- Streamlined profile management by removing legacy ID retrieval and ensuring session-based profile access for security improvements.
- Bumped application version to 0.8.37 in both backend and frontend files.
- Updated training planning API to include new session assignment features, allowing for lead trainer and assistant trainer assignments.
- Enhanced the TrainingPlanningPage to support dynamic loading of club member directories based on selected groups.
- Improved validation for trainer assignments, ensuring only active club members can be assigned as trainers.
- Updated changelog to reflect the new version and changes made in this release.
- Introduced a new PATCH endpoint `/api/exercises/bulk-metadata` to allow bulk updates of visibility and status for exercises, supporting up to 500 IDs.
- Enhanced the ExercisesListPage to include a bulk update modal for managing exercise visibility and status.
- Updated frontend API utility to handle bulk patch requests.
- Bumped application version to 0.8.29 and updated changelog to reflect these changes.
- Added new documentation references for access layer governance in CLAUDE.md, including multi-tenancy and endpoint audit guidelines.
- Updated ACCESS_LAYER_AND_GOVERNANCE_PLAN.md to include cursor and heuristic checks for access layer compliance.
- Enhanced ACCESS_LAYER_ENDPOINT_AUDIT.md to clarify endpoint visibility and governance requirements, including exemptions for certain routers.
- Introduced library_content_visible_to_profile function in club_tenancy.py to streamline visibility checks for library content.
- Updated exercise progression graphs router to utilize the new visibility function, improving access control.
- Bumped application version to 0.8.27 and updated changelog to reflect these changes.
- Refactored club join requests, memberships, and clubs routers to utilize TenantContext for authentication and authorization, enhancing security and consistency.
- Updated session handling to replace direct session dictionary access with TenantContext, improving code clarity and maintainability.
- Ensured proper role and profile ID retrieval from TenantContext in various endpoints, streamlining access control for club management functionalities.
- Refactored exercises API endpoints to utilize tenant context for authentication and authorization, enhancing security and governance.
- Updated access layer documentation to reflect the complete integration of tenant context for exercises.
- Bumped application version to 0.8.24 in both backend and frontend files.
- Enhanced changelog to document the new version and changes made in this release.
- Implemented `library_content_visibility_sql` for managing visibility of exercises, training planning, and framework programs based on tenant context.
- Updated access layer documentation to reflect changes in endpoint visibility and governance requirements.
- Bumped application version to 0.8.23 in both backend and frontend files.
- Enhanced changelog to document the new version and changes made in this release.
- Introduced tenant context resolution in the profiles API, allowing for effective club identification based on user memberships.
- Updated the `GET /profiles/me` endpoint to return `effective_club_id` and removed reliance on the deprecated `X-Active-Club-Id` header.
- Bumped application version to 0.8.22 in both backend and frontend files.
- Enhanced changelog to document the new version and changes made in this release.
