- Added `stage_learning_goal_override` and `gap_trainer_supplements` parameters to `build_progression_path_gap_planning_context`, allowing for customized learning goals and additional trainer notes.
- Updated `gapOfferContextDisplayLines` to include trainer supplements in the context display.
- Enhanced `ExerciseProgressionPathBuilder` to utilize new parameters for improved gap fill offer handling.
- Incremented application version to 0.8.214 to reflect these changes.
- Added `context_preview` to the `build_gap_fill_offer` function, providing a structured overview of the roadmap snapshot.
- Introduced `gapOfferContextDisplayLines` utility to format context information for UI display, improving clarity for users.
- Updated `ExerciseProgressionPathBuilder` and related components to utilize the new context preview, enhancing the user experience.
- Incremented application version to 0.8.213 to reflect these changes.
- Introduced `build_progression_gap_snapshot` function to create a compact roadmap context for gap exercises, integrating start situation, target state, and stage specifications.
- Updated `build_gap_fill_goal_text` to include roadmap snapshot details, enhancing the context for AI-generated exercises.
- Enhanced `ProgressionPathSuggestRequest` and related components to support new structured inputs for start/target analysis, improving user experience and AI suggestions.
- Incremented application version to 0.8.212 to reflect these changes.
- Added `planning_context` to the `suggestExerciseAi` endpoint, enabling structured planning context for new exercise creation.
- Updated relevant components and backend logic to handle the new planning context, enhancing the AI's exercise suggestion capabilities.
- Incremented application version to 0.8.208 to reflect these changes.
- Introduced a new environment variable `CLUB_FEATURE_ENFORCE` to control club feature access, allowing values of 1, true, or yes for activation.
- Updated the backend logic to check for club feature enforcement, raising HTTP exceptions when access is denied without an active club context.
- Enhanced the admin rights router with a new endpoint to check the enforcement status of club features.
- Incremented application version to 0.8.202 to reflect these changes.
- Updated the Membership RBAC Decisions document to reflect the latest implementation status and roadmap, including new features and enhancements.
- Incremented application version to 0.8.200 and updated database schema version to 20260606083.
- Added a new API endpoint to clear capability grants for club roles, improving admin rights management.
- Enhanced the Admin Rights page in the frontend to display enforcement status and feature consumption details for capabilities.
- Improved the user interface for better clarity on rights and capabilities management.
- 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.
- Replaced the admin club feature exemptions router with a new admin rights router to streamline capability management.
- Added new API endpoints for managing admin rights, including capability grants and quota bypass for portal roles and profiles.
- Updated the frontend to include navigation and lazy loading for the new Admin Rights page.
- Incremented application version to 0.8.197 to reflect these changes and enhancements.
- Incremented application version to 0.8.192 and database schema version to 20260606081.
- Updated club module versions for 'clubs' and 'club_creation_requests' to reflect recent changes.
- Implemented logic to mark approved club creation requests as 'superseded' when the associated club is deleted.
- Refactored frontend components to clear session storage for coach-related keys upon logout and during login checks.
- Enhanced onboarding page to accurately display the status of club creation requests based on their validity.
- Introduced endpoints for managing club creation requests, including fetching, creating, and withdrawing requests.
- Updated the onboarding page to allow users to submit new club creation requests and view their existing requests.
- Enhanced the admin interface with navigation and routing for club creation requests management.
- Incremented version to 0.8.191 to reflect these new features and updates in the application.
- Refactored the logout function in AuthContext to handle asynchronous logout operations, improving session management.
- Updated the FeatureUsageBadge component to display error messages when feature data retrieval fails, enhancing user feedback.
- Replaced lazy loading of OnboardingPage with lazyWithRetry for improved loading reliability.
- Adjusted the EntitlementsContext to determine club ID using utility functions for better governance form handling.
- 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.
- Introduced `email_verified` and `account_state` attributes in the `TenantContext` to improve user state management.
- Updated the `resolve_tenant_context` function to dynamically fetch `email_verified` status from the database and determine `account_state` based on user roles and memberships.
- Implemented `assert_min_account_state` checks across various endpoints to enforce access control based on user account status.
- Incremented version to 1.1.0 in version.py to reflect these enhancements in tenant context management and access control.
- 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.
- 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.
- 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.
- Updated APP_VERSION to 0.8.166 and modified BUILD_DATE to reflect recent changes.
- Enhanced AI exercise creation process with a new quick create feature, allowing users to generate exercises based on search input.
- Introduced a rich text editor for editing AI-generated drafts, improving user experience in exercise creation.
- Updated ExercisePickerModal and related components to support the new quick create functionality, including error handling and input validation.
- Added new utility functions for parsing search queries and building exercise payloads from drafts.
- Updated the quick create process to include a preview feature for AI-generated exercises, allowing users to review goals, execution, preparation, and trainer notes.
- Introduced new constants for instruction fields and refactored the payload building function to utilize the preview data.
- Improved error handling to ensure at least one of the goal or execution fields is populated.
- Deprecated the previous payload building function in favor of the new preview-based approach, streamlining the exercise creation workflow.
- Updated APP_VERSION to 0.8.164 and added changelog entry for the new version.
- Enhanced ExercisePickerModal to support quick exercise creation using AI, including fields for sketch and focus area.
- Implemented error handling for AI suggestions and improved user prompts for input validation.
- Updated UI elements to reflect changes in exercise creation workflow.
- 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.
- Replaced hardcoded visibility labels with the new constant EXERCISE_VISIBILITY_FIELD_LABEL in multiple components, ensuring consistent terminology throughout the application.
- Updated UI text to reflect the change from "Sichtbarkeit" to "Freigabelevel" in various contexts, enhancing clarity for users.
- Improved accessibility by standardizing the visibility-related labels in the ExercisePickerModal, ExerciseProgressionGraphPanel, and other related components.
- Updated the FrameworkProgramsFilterBlock to include a search input and filter modal, improving user interaction and accessibility.
- Refactored CSS styles for filter components to ensure consistent layout and spacing.
- Removed deprecated panel open state management, streamlining the component logic.
- Integrated new filtering capabilities in the TrainingPlanningFrameworkImportModal and TrainingModulesListPage, enhancing the overall filtering experience.
- Improved the display of active filters and results count, providing clearer feedback to users.
- Introduced new helper functions for managing artifact type corpus, improving code organization and readability.
- Updated the `compute_club_corpus_reference` function to utilize the new corpus handling methods, enhancing clarity and maintainability.
- Refactored skill profile functions to leverage the new corpus structure, ensuring consistent data retrieval across different artifact types.
- Improved the handling of visibility clauses for library content, streamlining database queries for skill profiles.
- Enhanced the batch skill profile summary function to aggregate reference data by artifact type, improving performance and accuracy.
- Modified the `compact_profile_summary` function to allow for dynamic skill and category limits, enhancing flexibility in profile data retrieval.
- Updated frontend components to display skill weights and scores more effectively, improving user interaction with skill metrics.
- Adjusted CSS styles for skill KPI tiles to better differentiate between score and percentage displays, ensuring a clearer visual representation.
- Refactored utility functions to streamline skill summary handling, enhancing overall code maintainability and performance.
- Introduced a new function to calculate club-specific skill percentages, ensuring values are capped at 100%.
- Updated skill profile calculations to include indicators for the best club performance per skill.
- Enhanced frontend components to display club best indicators and improved layout for skill profiles.
- Refactored CSS styles for skill profile components, ensuring a more cohesive and user-friendly interface.
- Updated tests to validate new functionality and ensure accurate representation of skill metrics.
- Updated the skill scoring specification to include club-specific metrics and improved aggregation methods for skill profiles.
- Introduced new API endpoints for batch skill profile summaries, allowing for efficient retrieval of compact skill data.
- Enhanced frontend components to display skill profiles with club comparisons, improving user interaction and visibility of skill strengths.
- Added filtering options for skills in the framework programs, enabling users to refine selections based on training weight relative to club maximums.
- Improved CSS styles for skill profile displays, ensuring a cohesive and user-friendly interface across the application.
- 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.
- Updated the TrainingFrameworkProgramsListPage to utilize new CSS classes for improved layout and styling.
- Removed deprecated components and functions, streamlining the codebase for better maintainability.
- Introduced utility functions for splitting aggregated strings, enhancing data handling for framework program attributes.
- Enhanced the user interface with loading and empty state indicators, improving overall user experience.
- Introduced a new modal for importing training framework sessions, featuring a backdrop and panel for improved user experience.
- Added comprehensive filtering options for focus areas, training types, and target groups, utilizing a structured filter state.
- Enhanced session duration handling with distinct duration collection and display, improving clarity in program selection.
- Updated utility functions to support new filtering capabilities and session duration management, ensuring a cohesive user interface.
- 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.
- Modified comments in `SkillTreePickerPanel` and `skillCatalogTree.js` to accurately reflect the default expansion behavior, specifying that only main groups are open by default.
- Refactored `defaultExpandedKeysForSkillTree` to simplify the logic, ensuring only main groups are returned as expanded.
- Adjusted tests in `skillCatalogTree.test.js` to validate the updated behavior, confirming that only main groups are opened in the skill tree.
- Simplified the rendering of skill group labels in `SkillTreePickerPanel` for improved readability.
- Updated comments in `skillCatalogTree.js` to clarify the structure of expandable nodes and default expansion behavior.
- Refactored the skill catalog tree building logic to streamline the mapping of categories and skills, enhancing performance and maintainability.
- Adjusted tests in `skillCatalogTree.test.js` to reflect changes in the structure of skill nodes, ensuring accurate validation of functionality.
- Introduced utility functions to count skills without main categories and categories, enhancing data management in the Skills Catalog Admin.
- Updated the SkillsCatalogAdmin component to handle unassigned main and category IDs, improving user experience when managing skills.
- Refactored skill selection logic to utilize new utility functions, ensuring accurate filtering of skills based on selected categories and main categories.
- Enhanced the UI to display unassigned skills clearly, improving overall usability and clarity in skill management.
- Added CSS styles for skill group labels in the skill tree to improve visual hierarchy and readability.
- Updated `SkillTreePickerPanel` and `SkillTreeMultiSelect` components to utilize the new default expansion logic, ensuring main and category nodes are open by default while skill groups remain collapsed.
- Refactored state management in `SkillTreePickerPanel` to align with the new default expansion behavior.
- Enhanced utility functions to support the new default expansion logic for skill trees.
- Introduced new `SkillTreeSelect` and `SkillTreeMultiSelect` components for enhanced skill selection in various modals and forms.
- Updated API calls to use `listSkillsCatalog` instead of `listSkills` for improved data retrieval.
- Enhanced CSS styles for skill selection components to improve user experience and visual consistency across the application.
- Replaced `PageReturnLink` with `PageReturnButton` for consistent back navigation across various pages.
- Updated multiple components, including `ExercisePeekModal`, `PageFormEditorChrome`, and `ExerciseDetailPage`, to utilize the new return context features.
- Enhanced CSS styles for the new return button to improve visual consistency.
- Improved navigation logic in `TrainingFrameworkProgramEditPage` and `TrainingModuleEditPage` to ensure seamless user experience when navigating back to previous locations.
- Introduced a new `PageReturnLink` component for consistent back navigation across pages.
- Updated `SaveSelectedExercisesAsModuleModal` and `SaveExercisesAsModuleModal` to utilize `navigateWithAppReturn`, preserving navigation context when redirecting after saving.
- Enhanced `TrainingModuleEditPage` and `TrainingUnitEditPage` with improved return context handling, allowing users to navigate back to their previous locations seamlessly.
- Added CSS styles for the new return link to improve visual consistency and user experience.
- Introduced new CSS styles for exercise cards and selection sections, improving visual feedback for selected exercises.
- Updated ExerciseListCard to support a new `selectionPinned` prop, allowing for a badge display on selected exercises.
- Refactored selection handling in ExercisesListPageRoot to manage selected entries more effectively, replacing the previous Set-based approach.
- Enhanced SaveSelectedExercisesAsModuleModal to support appending exercises to existing modules, improving module management capabilities.
- Updated session state handling to include selected entries, ensuring persistence across sessions.
- Added clickable behavior to exercise card body, allowing users to navigate to exercise details by clicking anywhere on the card.
- Introduced keyboard accessibility for exercise cards, enabling navigation via Enter and Space keys.
- Updated ExerciseListBulkToolbar to include a new button for saving selected exercises as a module, enhancing bulk action capabilities.
- Improved CSS styles for clickable exercise card body to indicate interactivity.
- Updated PlanningLayout to conditionally render the PlanningRouteNav based on the current path, improving navigation for planning unit editors.
- Enhanced TrainingUnitEditPage with unsaved changes detection, integrating a prompt for users to confirm before leaving the page with unsaved changes.
- Introduced utility functions for creating a stable snapshot of form data to facilitate dirty-checking, ensuring better user experience during form editing.
- Added tests for the new utility functions to validate their behavior in various scenarios.
- Added Vitest as a testing framework and included test scripts in package.json for improved testing capabilities.
- Refactored TrainingPlanningPageRoot component by removing unused state variables and imports, streamlining the code for better readability and performance.
- Introduced new utility functions for planning routes to enhance navigation within the training planning interface.
- Incremented app version to 0.8.148 and updated changelog to reflect new features.
- Improved the training plan template structure by adding a preview of sections, including support for split sessions.
- Introduced a new editing page for training plan templates, allowing users to modify templates directly.
- Enhanced the TrainingPlanningPageRoot to include a description field when saving templates, improving user guidance.
- Updated permissions to allow editing of training plan templates based on user roles.
- Incremented app version to 0.8.147 and updated changelog to reflect the new version.
- Introduced a new modal for saving exercises as training modules within the training planning interface.
- Enhanced the TrainingPlanningPageRoot component to manage the new save module functionality, including state management for the modal.
- Updated the TrainingPlanningUnitFormModal to include an option for saving exercises as a module, improving user experience in training planning.
- 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.
