Commit Graph

50 Commits

Author SHA1 Message Date
b68185842e Enhance Club Feature Consumption Logic and Update Versioning
All checks were successful
Deploy Development / deploy (push) Successful in 42s
Test Suite / pytest-backend (push) Successful in 47s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 14s
Test Suite / k6 /health Baseline (push) Successful in 34s
Test Suite / playwright-tests (push) Successful in 1m40s
- Introduced the `consume_club_feature_with_usage` function to standardize feature consumption across endpoints, improving code reusability and clarity.
- Implemented `merge_feature_usage_into_response` to embed feature usage data in API responses, streamlining frontend integration.
- Updated various backend routers to utilize the new consumption logic, ensuring consistent feature usage tracking during AI-related actions.
- Enhanced tests to validate the new consumption and logging behavior.
- Incremented application version to 0.8.199 and updated module version for 'club_features' to 1.6.0 to reflect these changes.
2026-06-07 10:32:49 +02:00
a2f60d3f46 Update Capability Catalog and Club Membership Documentation
Some checks failed
Deploy Development / deploy (push) Successful in 49s
Test Suite / pytest-backend (push) Failing after 0s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 15s
Test Suite / playwright-tests (push) Has been cancelled
Test Suite / k6 /health Baseline (push) Has been cancelled
- Revised the status in the Capability Catalog to reflect partial implementation (M3).
- Added a new reference to `MEMBERSHIP_RBAC_DECISIONS_2026-06.md` in both the Capability Catalog and Club Membership documentation.
- Enhanced the Club Membership documentation with details on product decisions and onboarding phases.
- Implemented middleware in the backend to restrict access for unverified users and those pending club membership.
- Updated versioning in `version.py` to reflect changes in account lifecycle management.
2026-06-07 05:57:13 +02:00
c294c27de8 Update Access Layer and Governance Documentation
All checks were successful
Deploy Development / deploy (push) Successful in 44s
Test Suite / pytest-backend (push) Successful in 40s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 13s
Test Suite / k6 /health Baseline (push) Successful in 34s
Test Suite / playwright-tests (push) Successful in 1m12s
- Enhanced the ACCESS_LAYER_AND_GOVERNANCE_PLAN.md with new specifications for capability documentation and community features.
- Added references to new documents detailing capability IDs and club membership features.
- Updated MULTI_TENANCY_RBAC_ARCHITECTURE.md to include links to the new specifications.
- Marked certain features as deprecated in backend/auth.py, indicating migration paths for club feature access.
- Incremented DB_SCHEMA_VERSION to 20260606078 in version.py to reflect recent changes.
2026-06-06 20:44:51 +02:00
9f4678f418 Implement exercise_instruction_rewrite for AI Prompt System
All checks were successful
Deploy Development / deploy (push) Successful in 44s
Test Suite / pytest-backend (push) Successful in 40s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 14s
Test Suite / k6 /health Baseline (push) Successful in 36s
Test Suite / playwright-tests (push) Successful in 1m16s
- 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.
2026-05-22 18:53:36 +02:00
5331eab39c Implement ExerciseFormAiPromptContext and Refactor AI Prompt Job Functionality
All checks were successful
Deploy Development / deploy (push) Successful in 40s
Test Suite / pytest-backend (push) Successful in 39s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 13s
Test Suite / k6 /health Baseline (push) Successful in 34s
Test Suite / playwright-tests (push) Successful in 1m23s
- 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.
2026-05-22 18:47:09 +02:00
93b8d09d05 Implement OpenRouter Model Support in AI Prompt System
All checks were successful
Deploy Development / deploy (push) Successful in 41s
Test Suite / pytest-backend (push) Successful in 39s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 13s
Test Suite / k6 /health Baseline (push) Successful in 33s
Test Suite / playwright-tests (push) Successful in 1m14s
- 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.
2026-05-22 12:37:43 +02:00
0551bb3d80 Refactor AI Prompt System and Enhance Functionality
All checks were successful
Deploy Development / deploy (push) Successful in 46s
Test Suite / pytest-backend (push) Successful in 39s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 13s
Test Suite / k6 /health Baseline (push) Successful in 33s
Test Suite / playwright-tests (push) Successful in 1m18s
- 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.
2026-05-22 12:19:52 +02:00
cdeddc7cec Update AI Prompt System and Documentation
All checks were successful
Deploy Development / deploy (push) Successful in 41s
Test Suite / pytest-backend (push) Successful in 42s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 12s
Test Suite / k6 /health Baseline (push) Successful in 33s
Test Suite / playwright-tests (push) Successful in 1m18s
- Added a new target architecture document for the AI Prompt System, detailing context types, composition, and planning phases.
- Refactored the backend to utilize a shared function for loading AI prompt rows, reducing SQL duplication in the `exercise_ai` module.
- Incremented the application version to 0.8.159 and updated the changelog to reflect these changes, including enhancements to the AI prompt management and documentation links.
2026-05-22 11:05:35 +02:00
2148d0aa7f Update AI Prompt System and Admin API
All checks were successful
Deploy Development / deploy (push) Successful in 42s
Test Suite / pytest-backend (push) Successful in 39s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 14s
Test Suite / k6 /health Baseline (push) Successful in 33s
Test Suite / playwright-tests (push) Successful in 1m16s
- 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.
2026-05-22 11:02:02 +02:00
294b09a5d9 Implement AI Skill Retrieval Profiles and Enhance Exercise AI Functionality
All checks were successful
Deploy Development / deploy (push) Successful in 41s
Test Suite / pytest-backend (push) Successful in 38s
Test Suite / lint-backend (push) Successful in 1s
Test Suite / build-frontend (push) Successful in 12s
Test Suite / k6 /health Baseline (push) Successful in 34s
Test Suite / playwright-tests (push) Successful in 1m13s
- 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.
2026-05-22 09:49:08 +02:00
4d36bbf634 Update AI Training Planning Document and Versioning
All checks were successful
Deploy Development / deploy (push) Successful in 38s
Test Suite / pytest-backend (push) Successful in 42s
Test Suite / lint-backend (push) Successful in 1s
Test Suite / build-frontend (push) Successful in 12s
Test Suite / k6 /health Baseline (push) Successful in 33s
Test Suite / playwright-tests (push) Successful in 1m13s
- 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.
2026-05-22 07:56:56 +02:00
e4451e1362 Enhance Exercise Management and AI Integration
Some checks failed
Test Suite / playwright-tests (push) Waiting to run
Deploy Development / deploy (push) Successful in 43s
Test Suite / pytest-backend (push) Failing after 1s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 13s
Test Suite / k6 /health Baseline (push) Has been cancelled
- 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.
2026-05-22 07:52:31 +02:00
1d698e4b0a Implement Phase 3 Enhancements for Skill Scoring and Profiles
Some checks failed
Deploy Development / deploy (push) Failing after 22s
Test Suite / pytest-backend (push) Successful in 35s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Failing after 3s
Test Suite / k6 /health Baseline (push) Successful in 33s
Test Suite / playwright-tests (push) Successful in 1m14s
- 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.
2026-05-21 12:35:45 +02:00
78c6c51520 Enhance Skill Scoring and Profile Features
All checks were successful
Deploy Development / deploy (push) Successful in 39s
Test Suite / pytest-backend (push) Successful in 42s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 13s
Test Suite / k6 /health Baseline (push) Successful in 33s
Test Suite / playwright-tests (push) Successful in 1m15s
- 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.
2026-05-21 09:05:13 +02:00
5200895a73 Update Skill Scoring Specification and Implementation to v1.2
All checks were successful
Deploy Development / deploy (push) Successful in 42s
Test Suite / pytest-backend (push) Successful in 38s
Test Suite / lint-backend (push) Successful in 1s
Test Suite / build-frontend (push) Successful in 13s
Test Suite / k6 /health Baseline (push) Successful in 33s
Test Suite / playwright-tests (push) Successful in 1m27s
- 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.
2026-05-21 08:37:58 +02:00
8f8bdf6d8b Update Skill Scoring Specification and Implementation to v1.1
All checks were successful
Deploy Development / deploy (push) Successful in 42s
Test Suite / pytest-backend (push) Successful in 38s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 13s
Test Suite / k6 /health Baseline (push) Successful in 33s
Test Suite / playwright-tests (push) Successful in 1m21s
- 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.
2026-05-21 08:24:23 +02:00
732b322c52 Implement Phase 3 Features for Skill Profiles and Discovery
All checks were successful
Deploy Development / deploy (push) Successful in 42s
Test Suite / pytest-backend (push) Successful in 38s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 13s
Test Suite / k6 /health Baseline (push) Successful in 34s
Test Suite / playwright-tests (push) Successful in 1m27s
- 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.
2026-05-20 16:42:25 +02:00
8afdd811db Refactor full-page editor navigation and update return context handling
Some checks failed
Deploy Development / deploy (push) Failing after 23s
Test Suite / pytest-backend (push) Successful in 34s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Failing after 7s
Test Suite / k6 /health Baseline (push) Successful in 33s
Test Suite / playwright-tests (push) Successful in 1m19s
- Adjusted `PageFormEditorChrome` to set `showReturn` to false by default, making the back button optional.
- Removed `PageReturnButton` from `TrainingFrameworkProgramEditPage`, `TrainingModuleEditPage`, and `TrainingPlanTemplateEditPage` to streamline navigation.
- Updated documentation to reflect changes in editor actions and return context behavior for improved clarity.
2026-05-20 07:56:22 +02:00
4588ef4c7e Refactor navigation components and enhance return context handling
Some checks failed
Deploy Development / deploy (push) Failing after 24s
Test Suite / pytest-backend (push) Successful in 34s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Failing after 7s
Test Suite / k6 /health Baseline (push) Successful in 34s
Test Suite / playwright-tests (push) Successful in 1m22s
- 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.
2026-05-20 07:42:46 +02:00
6e6270b717 Enhance navigation and return context in exercise and training module components
All checks were successful
Deploy Development / deploy (push) Successful in 41s
Test Suite / pytest-backend (push) Successful in 37s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 12s
Test Suite / k6 /health Baseline (push) Successful in 33s
Test Suite / playwright-tests (push) Successful in 1m17s
- 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.
2026-05-20 07:25:05 +02:00
bc1790bd82 Refactor section movement logic in TrainingUnitSectionsEditor
All checks were successful
Deploy Development / deploy (push) Successful in 43s
Test Suite / pytest-backend (push) Successful in 38s
Test Suite / lint-backend (push) Successful in 1s
Test Suite / build-frontend (push) Successful in 12s
Test Suite / k6 /health Baseline (push) Successful in 34s
Test Suite / playwright-tests (push) Successful in 1m14s
- Streamlined the section movement process by consolidating validation checks and enhancing the handling of parallel phase indices.
- Improved the overall clarity and efficiency of the section management functionality, ensuring a smoother user experience during edits.
2026-05-16 09:04:09 +02:00
76cc81a385 Update project documentation and enhance training features for parallel streams
All checks were successful
Deploy Development / deploy (push) Successful in 42s
Test Suite / pytest-backend (push) Successful in 37s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 20s
Test Suite / k6 /health Baseline (push) Successful in 33s
Test Suite / playwright-tests (push) Successful in 1m8s
- Updated CLAUDE.md and PROJECT_STATUS.md to reflect the latest app version (0.8.140) and database schema (20260515063) as of 2026-05-14.
- Enhanced DOMAIN_MODEL.md and PARALLEL_TRAINING_STREAMS_CONCEPT.md to clarify the implementation of phases and parallel streams in training units.
- Improved HANDOVER.md with detailed descriptions of the coaching and breakout functionalities, including rejoin logic and session management.
- Updated FACHLICHE_NUTZERFUNKTIONEN.md to include new features related to training planning and execution, emphasizing the integration of phases and parallel streams.
- Revised FEATURES_DELIVERED_2026-Q2.md to document the latest changes and improvements in the training framework and media management.
2026-05-15 22:11:05 +02:00
4235246cd7 chore(version): update version and changelog for release 0.8.122
All checks were successful
Deploy Development / deploy (push) Successful in 37s
Test Suite / pytest-backend (push) Successful in 36s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 12s
Test Suite / k6 /health Baseline (push) Successful in 33s
Test Suite / playwright-tests (push) Successful in 1m11s
- 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.
2026-05-14 11:21:09 +02:00
49adb395dd feat(version): bump to 0.8.110 and update project specifications
All checks were successful
Deploy Development / deploy (push) Successful in 41s
Test Suite / pytest-backend (push) Successful in 35s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 12s
Test Suite / playwright-tests (push) Successful in 1m15s
- 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>
2026-05-13 16:34:38 +02:00
12fd3926b2 feat(combination-exercises): enhance method profile integration and update specifications
All checks were successful
Deploy Development / deploy (push) Successful in 38s
Test Suite / pytest-backend (push) Successful in 35s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 11s
Test Suite / playwright-tests (push) Successful in 1m4s
- 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>
2026-05-13 07:16:58 +02:00
59d53d6154 docs: update project status and add user overview documentation
All checks were successful
Deploy Development / deploy (push) Successful in 38s
Test Suite / pytest-backend (push) Successful in 35s
Test Suite / lint-backend (push) Successful in 1s
Test Suite / build-frontend (push) Successful in 11s
Test Suite / playwright-tests (push) Successful in 56s
- Updated project status to version 0.8.96 as of 2026-05-12, reflecting recent enhancements and features.
- Added a new section for the user overview in `docs/FACHLICHE_NUTZERFUNKTIONEN.md`, providing a compact perspective for design and product teams.
- Revised references in various documents to include the new user overview and updated project status.
- Enhanced the requirements documentation to link to the user overview for better clarity.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-12 21:20:36 +02:00
bab9b178a4 feat(exercises): update to version 0.8.64 and enhance inline media functionality
All checks were successful
Deploy Development / deploy (push) Successful in 35s
Test Suite / pytest-backend (push) Successful in 25s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 6s
Test Suite / playwright-tests (push) Successful in 23s
Test Suite / pytest-backend (pull_request) Successful in 23s
Test Suite / lint-backend (pull_request) Successful in 0s
Test Suite / build-frontend (pull_request) Successful in 14s
Test Suite / playwright-tests (pull_request) Successful in 22s
- Incremented application version to 0.8.64 and updated changelog with new features.
- Implemented inline media support in Rich Text Editor, allowing for drag-and-drop functionality and auto-scrolling.
- Enhanced media handling with a modal picker for media insertion, size selection, and improved user experience.
- Updated documentation to reflect changes in media handling and inline media specifications.
- Adjusted various API specifications to support new inline media features.
2026-05-08 13:27:15 +02:00
cc51b0f08f feat(exercises): implement inline media support in exercise content
All checks were successful
Deploy Development / deploy (push) Successful in 37s
Test Suite / pytest-backend (push) Successful in 25s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 7s
Test Suite / playwright-tests (push) Successful in 24s
- Added functionality for inline media references in exercise text using `{{exerciseMedia:id}}` syntax, which normalizes to a canonical `<span>` element.
- Updated the frontend to utilize `ExerciseRichTextBlock` for rendering exercise content, allowing for embedded media display.
- Enhanced the Rich Text Editor to support inserting inline media placeholders.
- Version bump to 0.8.60 to reflect these changes in media handling and exercise content management.
2026-05-08 11:44:29 +02:00
b6de1f15ea feat(media): implement centralized media archive and inline media linking
All checks were successful
Deploy Development / deploy (push) Successful in 34s
Test Suite / pytest-backend (push) Successful in 25s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 7s
Test Suite / playwright-tests (push) Successful in 23s
- 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>
2026-05-08 10:56:43 +02:00
0a1816e38b feat: enhance media library and lifecycle management
All checks were successful
Deploy Development / deploy (push) Successful in 36s
Test Suite / pytest-backend (push) Successful in 25s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 7s
Test Suite / playwright-tests (push) Successful in 23s
- 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.
2026-05-07 14:10:26 +02:00
95f5b0b2d7 feat: implement official exercise media management and copyright validation
All checks were successful
Deploy Development / deploy (push) Successful in 35s
Test Suite / pytest-backend (push) Successful in 24s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 6s
Test Suite / playwright-tests (push) Successful in 22s
- 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.
2026-05-07 13:34:22 +02:00
e2964a077d feat: update media management and project status documentation
All checks were successful
Deploy Development / deploy (push) Successful in 38s
Test Suite / pytest-backend (push) Successful in 24s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 7s
Test Suite / playwright-tests (push) Successful in 27s
- 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.
2026-05-07 13:10:37 +02:00
8ac723eafe feat: enhance media lifecycle management and inline media integration
All checks were successful
Deploy Development / deploy (push) Successful in 34s
Test Suite / pytest-backend (push) Successful in 23s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 6s
Test Suite / playwright-tests (push) Successful in 24s
- 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.
2026-05-07 12:55:50 +02:00
7284c577d7 feat: enhance media management and governance in the project
All checks were successful
Deploy Development / deploy (push) Successful in 35s
Test Suite / pytest-backend (push) Successful in 24s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 6s
Test Suite / playwright-tests (push) Successful in 27s
- 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.
2026-05-07 12:36:46 +02:00
c778d21b26 feat: update application version to 0.8.37 and enhance training planning features
Some checks failed
Deploy Development / deploy (push) Failing after 14s
Test Suite / pytest-backend (push) Successful in 5s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Failing after 2s
Test Suite / playwright-tests (push) Successful in 23s
- 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.
2026-05-05 23:35:41 +02:00
e0ecfe927f feat: update access layer governance and visibility checks
Some checks failed
Deploy Development / deploy (push) Successful in 35s
Test Suite / lint-backend (push) Successful in 1s
Test Suite / build-frontend (push) Successful in 6s
Test Suite / playwright-tests (push) Failing after 37s
- Enhanced ACCESS_LAYER_AND_GOVERNANCE_PLAN.md with additional details on heuristic checks and testing procedures for cross-tenant scenarios.
- Updated club_tenancy.py to recommend using `library_content_visible_to_profile` for exercise visibility checks.
- Refactored multiple routers to utilize `library_content_visible_to_profile`, improving consistency in access control across exercises and training planning.
- Bumped application version to 0.8.28 and updated changelog to reflect these changes.
2026-05-05 22:11:05 +02:00
abee6171df feat: enhance access layer governance and visibility checks
Some checks failed
Deploy Development / deploy (push) Successful in 37s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 6s
Test Suite / playwright-tests (push) Failing after 34s
- 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.
2026-05-05 22:09:25 +02:00
4b6fd49940 feat: implement tenant context resolution and update profiles API
Some checks failed
Deploy Development / deploy (push) Successful in 37s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 6s
Test Suite / playwright-tests (push) Failing after 52s
- 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.
2026-05-05 21:42:56 +02:00
7d476268b8 feat: implement multi-tenancy governance and enhance club member management
Some checks failed
Deploy Development / deploy (push) Successful in 36s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 6s
Test Suite / playwright-tests (push) Failing after 39s
- Bumped application version to 0.8.17, reflecting updates in both backend and frontend.
- Introduced governance visibility for training plan templates and framework programs, allowing access based on visibility settings (private, club, official).
- Added API endpoints for managing club members, including listing, adding, updating, and removing members.
- Updated changelog to document the new features and changes made in this release.
2026-05-05 16:29:11 +02:00
0c044249d9 Phase 0a Mandantenfähigkeit
Some checks failed
Deploy Development / deploy (push) Successful in 37s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 6s
Test Suite / playwright-tests (push) Failing after 3m38s
2026-05-05 16:12:17 +02:00
c4fbabd8f6 chore: update versioning and enhance training framework features
Some checks failed
Deploy Development / deploy (push) Successful in 36s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 6s
Test Suite / playwright-tests (push) Failing after 39s
- Incremented APP_VERSION to 0.8.10 and DB_SCHEMA_VERSION to 20260505037.
- Updated project status and domain model documentation to reflect recent changes.
- Enhanced training framework program handling with new slot-blueprint structure.
- Introduced API endpoint for creating training units from framework slots.
- Improved documentation for training planning and governance concepts.
2026-05-05 13:39:30 +02:00
b054c642a3 chore: update training framework specifications and versioning
Some checks failed
Deploy Development / deploy (push) Successful in 33s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 14s
Test Suite / playwright-tests (push) Failing after 40s
- Incremented version to 0.8.8 and updated database schema version to 20260505035.
- Added new entity `training_framework_programs` to manage training frameworks, including goals and slots.
- Enhanced `training_plan_templates` with a visibility attribute and backfilled existing data.
- Updated API to support CRUD operations for training frameworks, ensuring proper authorization similar to existing planning libraries.
- Revised documentation in DOMAIN_MODEL.md, TRAINING_CURRICULUM_AND_GOVERNANCE_CONCEPT.md, and TRAINING_FRAMEWORK_SPEC.md to reflect these changes.
2026-05-05 08:41:43 +02:00
f5895b6637 chore: update documentation and enhance exercise progression graph details
Some checks failed
Deploy Development / deploy (push) Successful in 35s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 6s
Test Suite / playwright-tests (push) Failing after 41s
- Updated CLAUDE.md to reflect the addition of exercise_progression_graphs in the backend routers.
- Revised PROJECT_STATUS.md to document the current project status and recent milestones, including the implementation of the exercise progression graph feature.
- Incremented versioning in DOMAIN_MODEL.md and DATABASE_SCHEMA.md to align with the latest migration updates.
- Enhanced technical specifications in TRAINING_FRAMEWORK_SPEC.md to clarify the implementation details of the exercise progression graph and its integration with the training framework.
2026-05-05 08:30:48 +02:00
1b7a0405e9 feat: add exercise progression graph functionality and update versioning
Some checks failed
Deploy Development / deploy (push) Successful in 39s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 7s
Test Suite / playwright-tests (push) Failing after 41s
- 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.
2026-04-30 11:47:50 +02:00
7134fd1a25 feat: update version to 0.7.9 and enhance project documentation
Some checks failed
Deploy Development / deploy (push) Successful in 35s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 5s
Test Suite / playwright-tests (push) Failing after 1m54s
- Incremented application version to 0.7.9 and updated database schema version to 20260427030.
- Revised project status documentation to reflect recent milestones and changes, including detailed logs of implemented features and next steps.
- Enhanced API specifications for exercises, including support for exercise variants and improved query parameters.
- Updated frontend routing to streamline exercise variant management within the ExerciseFormPage.
- Implemented role-based media upload limits and refined search/filter specifications for better user experience.
2026-04-28 16:18:25 +02:00
5626be792f docs: Dokumentation aktualisiert für Skills-Import Complete
Some checks failed
Deploy Development / deploy (push) Successful in 34s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 5s
Test Suite / playwright-tests (push) Failing after 1m54s
Updates:
- DATABASE_SCHEMA.md v0.4.0 (Migration 022+023, Skills-Hierarchie)
- DOMAIN_MODEL.md v0.4.0 (Fähigkeiten-Domäne, Fokusbereich-Zuordnung)
- MEDIAWIKI_IMPORT_SPEC.md v1.1 (Skills via Migration statt API)
- PROJECT_STATUS.md (NEU - Projekt-Übersicht & Deployment-Status)

Änderungen:
- 69 Skills mit Kategorisierung dokumentiert
- Haupt-/Unterkategorien (KARATE/ALLGEMEINE)
- Fokusbereich-Zuordnung (karate/universal)
- Level-Definitionen-Schema
- Migration 021 als DEPRECATED markiert
- Deployment-Status aktualisiert
- Lessons Learned dokumentiert
2026-04-27 11:18:49 +02:00
6801c60604 feat: Add MediaWiki import functionality with tracking and mapping
Some checks failed
Deploy Development / deploy (push) Successful in 35s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 5s
Test Suite / playwright-tests (push) Failing after 1m55s
- Implemented a new SQL migration for wiki import tracking tables.
- Created an import router for handling MediaWiki imports of exercises, skills, and methods.
- Developed a Semantic MediaWiki API client for direct API interactions.
- Added a mapper to convert SMW properties to local database fields.
- Introduced background tasks for asynchronous import processing.
- Implemented logging and error handling for import operations.
- Added endpoints for previewing imports, checking import status, and managing import references.
2026-04-24 14:41:52 +02:00
cedb97eb9b docs: Phase D - Dokumentation Migration 009
Some checks failed
Deploy Development / deploy (push) Successful in 40s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 5s
Test Suite / playwright-tests (push) Failing after 2m4s
Dokumentations-Updates:

DATABASE_SCHEMA.md:
- Version 0.3.4
- Migration 009 zur Historie hinzugefügt
- target_groups Struktur korrigiert (M:N statt 1:N)
- training_style_target_groups Junction-Tabelle dokumentiert
- Backend API Endpoints dokumentiert (5 neue)
- Frontend Admin-UI Änderungen dokumentiert

DOMAIN_MODEL.md:
- Version 0.3.4
- Dimension 3 (Zielgruppe) komplett überarbeitet
- Hierarchischer Kontext aktualisiert (M:N Architektur)
- Admin-UI Darstellung erklärt (Tree-View + Matrix + Global)
- BREAKING CHANGE klar gekennzeichnet

Fachlich:
- Zielgruppen sind jetzt GLOBAL (nicht mehr hierarchisch)
- M:N Zuordnung über Junction-Tabelle
- Wiederverwendbarkeit: Eine Zielgruppe → mehrere Stile

Version: 0.3.4
2026-04-23 11:00:50 +02:00
c7444ecaec docs: mark migration 008 as deployed
Some checks failed
Deploy Development / deploy (push) Successful in 34s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 5s
Test Suite / playwright-tests (push) Failing after 1m54s
2026-04-23 08:48:54 +02:00
63b1c09975 feat: Migration 008 - M:N Exercise Relations + Hierarchical Catalogs
Some checks failed
Deploy Development / deploy (push) Successful in 34s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 5s
Test Suite / playwright-tests (push) Has been cancelled
BREAKING CHANGE: Datenmodell-Umstellung von 1:1 auf M:N Beziehungen

Migration 008:
- Zielgruppen-Tabelle (target_groups) mit training_style_id Hierarchie
- M:N Zuordnungstabellen: exercise_focus_areas, exercise_styles, exercise_target_groups
- Altersgruppen-Dimension (exercise_age_groups) mit CHECK constraint
- Hierarchische Struktur: training_styles.focus_area_id → focus_areas
- Daten-Migration: Bestehende 1:1 Beziehungen zu M:N mit is_primary=true
- Seed-Daten: Beispiel-Zielgruppen für Shotokan

Architektur:
- Smart Cascade-Logik (RESTRICT, Rerouting, Move) vorbereitet
- Legacy-Spalten (focus_area_id, training_style_id) bleiben zur Rückwärtskompatibilität
- Primary/Secondary Assignments via is_primary Flag

Dokumentation:
- .claude/docs/technical/DATABASE_SCHEMA.md (kontinuierlich gepflegt)
- .claude/docs/functional/DOMAIN_MODEL.md (fachliche Anforderungen)
- Migrations-Historie aktualisiert

version: 0.3.0 (backend + frontend)
modules: exercises 0.3.0, catalogs 1.1.0
DB_SCHEMA_VERSION: 20260423

Konzept: shinkan_anforderungsdokument_entwurf.md (§8.1, §8.3, §10.7)
2026-04-23 08:46:56 +02:00