- Replaced the previous exercise matching logic with a new multistage planning retrieval process, improving the accuracy of exercise suggestions.
- Introduced LLM gates to limit LLM calls based on query length and intent application, optimizing performance and resource usage.
- Updated the `compose_retrieval_phase` function to include profile preselection, enhancing the retrieval process.
- Incremented version to 0.5.0 and updated changelog to reflect these significant enhancements in planning AI capabilities.
- Made `unit_id` and `group_id` optional in `PlanningExerciseSuggestRequest` to support client context without a saved unit.
- Refactored `_load_group_recent_exercise_ids` to handle cases where `exclude_unit_id` is optional.
- Introduced `build_client_planning_context_pack` for improved context handling in client-free searches.
- Updated `suggest_planning_exercises` to utilize the new client context pack when `unit_id` is not provided.
- Incremented version to 0.8.172 and updated changelog to reflect these enhancements in the planning AI capabilities.
- 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.
- 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 `exercise_instruction_rewrite` functionality to enhance AI-generated instructions, incorporating fields for goal, execution, preparation, and trainer notes.
- Updated `ExerciseFormAiPromptContext` to include new fields and methods for instruction handling.
- Enhanced the `run_exercise_form_ai_suggestion` function to support instruction rewriting and validation.
- Modified API endpoints and frontend components to integrate instruction features, including a new button for AI instruction revision.
- Incremented application version to 0.8.163 and updated changelog to reflect these changes, including migration details and new functionality.
- Introduced `ExerciseFormAiPromptContext` for unified handling of prompt-related data, enhancing the admin preview and exercise API.
- Added `run_exercise_form_ai_suggestion` function to streamline AI suggestion processing, integrating with the OpenRouter.
- Updated various modules to utilize the new context model, improving code clarity and reducing redundancy.
- Incremented application version to 0.8.162 and updated changelog to reflect these changes, including migration details and new functionality.
- Added `openrouter_model` field to the `ai_prompts` table, allowing for optional model overrides per prompt.
- Updated the `exercise_ai` module to utilize the effective OpenRouter model based on prompt-specific settings, enhancing flexibility in AI interactions.
- Enhanced the admin interface to support OpenRouter model configuration for prompts, improving usability for Superadmins.
- Incremented application version to 0.8.161 and updated changelog to reflect these changes, including migration details and new functionality.
- Introduced `load_and_render_ai_prompt` and `render_ai_prompt_template_for_row` in `ai_prompt_runtime` to streamline prompt loading and rendering processes.
- Added `AiPromptUnavailableError` for better error handling when prompts are inactive or missing.
- Created `ai_prompt_job` module with `ExerciseFormAiPromptContext` and `resolve_exercise_form_variables` to support admin preview functionality.
- Updated documentation and target architecture to reflect changes in the AI prompt system.
- Incremented application version to 0.8.160 and updated changelog accordingly.
- Added 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.
- 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.
- Introduced detailed logging for AI operations in the `exercise_ai` and `openrouter_chat` modules, activated by the `SHINKAN_AI_DEBUG` environment variable, to aid in debugging and performance monitoring.
- Updated the `run_exercise_ai_suggestion` function to log prompt lengths, response sizes, and JSON parsing errors, enhancing transparency in AI interactions.
- Improved the `_flatten_message_content` function to handle nested content structures more effectively, ensuring compatibility with various AI response formats.
- Incremented the application version to 0.8.157 and updated the changelog to reflect these enhancements, including new logging features and content handling improvements.
- Added a new function `_first_balanced_json_array` to extract the first complete top-level JSON array from arbitrary text, enhancing robustness in parsing.
- Updated the `run_exercise_ai_suggestion` function to raise clear HTTP exceptions for empty responses from the OpenRouter, ensuring better error handling.
- Introduced `_flatten_message_content` in the `openrouter_chat` module to handle structured message content from OpenAI, improving compatibility with various content formats.
- Incremented the application version to 0.8.156 and updated the changelog to reflect these enhancements, including improved error messages and JSON parsing capabilities.
- Introduced a new constant `_MAX_SANITIZE_SKILL_INPUT_ROWS` to limit the number of skill entries processed, improving performance and preventing issues with excessively long skill arrays.
- Updated the `_extract_json_array` and `_sanitize_skill_entries` functions to enforce this limit, ensuring that only a maximum of 250 skill entries are handled and that processing stops after 5 valid entries.
- Incremented the application version to 0.8.155 and updated the changelog to reflect these changes, including a note on the improvements made to the AI endpoint for skill arrays.
- Added documentation for the new Superadmin CRUD endpoints for managing AI Skill Retrieval Profiles (`/api/admin/ai-skill-retrieval-profiles*`).
- Updated the ACCESS_LAYER_ENDPOINT_AUDIT.md to include the new Superadmin API and its exempt status.
- Registered the ai_skill_retrieval_admin router in the backend and updated versioning to reflect the changes.
- Enhanced the frontend with a new Admin page for AI Skill Retrieval, including navigation and API integration for profile management.
- Introduced migration 068 for `ai_skill_retrieval_profiles`, enabling configurable weights and quotes for skill catalog prioritization in exercise AI suggestions.
- Updated the `POST /api/exercises/ai/suggest` endpoint to include an optional `focus_areas_context` field, allowing for enhanced context in AI-generated suggestions.
- Enhanced the `exercise_ai` module to utilize context-based skill selection, incorporating scoring, category caps, and keyword patches for improved AI responses.
- Updated the ExerciseFormPageRoot component to pass focus area context to the AI suggestion API, streamlining user interaction with AI-generated content.
- Incremented version numbers in `backend/version.py` to reflect the latest changes and ensure accurate tracking in the changelog.
- Incremented the version number from 0.2 to 0.3 in the AI Training Planning document to reflect the latest changes.
- Added a new reference to the `working/AI_PLANNING_KI_MULTISTAGE_FORECAST.md` document, outlining the architecture preview for the planning AI.
- Updated the changelog in `backend/version.py` to include the latest version entry, ensuring accurate tracking of changes.
- Updated the exercise form to include a tabbed navigation structure, improving user experience with sections for Stammdaten, Anleitung, Einordnung, Varianten, and Medien & Mehr.
- Introduced the concept of **Freigabelevel** (visibility level) in the UI, replacing previous terminology for clarity and consistency across components.
- Implemented new AI endpoints for exercise suggestions and regeneration, allowing for dynamic content generation without direct database writes.
- Removed the legacy `is_primary` flag from exercise skills in the UI, ensuring that intensity levels (`niedrig`, `mittel`, `hoch`) are the primary focus for skill management.
- Enhanced the variant management process with improved saving mechanisms and UI updates to reflect changes more intuitively.
- 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.
- 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.
- Added Vitest as a testing framework and included test scripts in package.json for improved testing capabilities.
- Refactored TrainingPlanningPageRoot component by removing unused state variables and imports, streamlining the code for better readability and performance.
- Introduced new utility functions for planning routes to enhance navigation within the training planning interface.
- Incremented app version to 0.8.148 and updated changelog to reflect new features.
- Improved the training plan template structure by adding a preview of sections, including support for split sessions.
- Introduced a new editing page for training plan templates, allowing users to modify templates directly.
- Enhanced the TrainingPlanningPageRoot to include a description field when saving templates, improving user guidance.
- Updated permissions to allow editing of training plan templates based on user roles.
- Incremented app version to 0.8.146 and updated changelog to include the new version details.
- Documented the addition of the publish-to-framework feature for training units, enhancing the training planning capabilities.
- Incremented app version to 0.8.147 and updated changelog to reflect the new version.
- Introduced a new modal for saving exercises as training modules within the training planning interface.
- Enhanced the TrainingPlanningPageRoot component to manage the new save module functionality, including state management for the modal.
- Updated the TrainingPlanningUnitFormModal to include an option for saving exercises as a module, improving user experience in training planning.
- Incremented app version to 0.8.146 and updated build date to 2026-05-19.
- Added new API endpoint to publish training units as session blueprints to framework programs.
- Introduced frontend functionality to support publishing training units, including a modal for user interaction.
- Updated changelog to reflect the new feature and its associated changes.
- Introduced `_normalize_mw_category` function to clean category names for API calls, ensuring consistent handling of category prefixes.
- Updated `SmwClient` methods to utilize normalized category names, improving data retrieval accuracy.
- Added `_wiki_category_or_default` function to provide default categories based on import type, enhancing user experience during imports.
- Integrated new fields `karate_relevance` and `relevance_level` into various admin components, allowing for better skill management.
- Incremented app version to 0.8.145 and updated changelog to reflect these changes.
- Added `karate_relevance` and `relevance_level` fields to the SkillCreate and SkillResponse models, allowing for more detailed skill attributes.
- Updated the SMW property mapping to include these new fields, facilitating their integration during data import.
- Implemented parsing logic for relevance levels from Wiki data, ensuring proper handling of values between 1 and 3.
- Modified the upsert and create skill functions to support the new fields, ensuring they are correctly stored and updated in the database.
- Incremented app version to 0.8.143 and updated changelog to reflect these changes.
- Introduced new functions for managing edit, delete, and governance transition permissions for library content, aligning with role-based access control (RBAC) principles.
- Updated existing routers to utilize these new functions, ensuring consistent permission checks across training frameworks, modules, and progression graphs.
- Enhanced visibility and governance handling for training plan templates and library content, improving overall content management and user experience.
- Incremented app version to 0.8.142 and updated changelog to reflect these changes.
- Incremented app version to 0.8.141 and updated build date to 2026-05-14.
- Modified the planning module version to 0.12.0, improving template section handling with phase metadata.
- Introduced new functions for normalizing and inserting training plan template sections, ensuring accurate phase representation during saves.
- Updated frontend components to utilize new utility functions for managing training plan templates, enhancing user experience and data integrity.
- Bumped APP_VERSION to 0.8.140 and updated the changelog to reflect recent changes.
- Enhanced the Training Planning Module with new controls for managing whole group and parallel phases, including the ability to add streams to existing parallel phases.
- Introduced utility functions for handling phase and stream configurations, improving the overall structure and usability of the training unit sections editor.
- Updated the TrainingPlanningUnitFormModal to support the new phase controls, ensuring seamless integration with the frontend components.
- Bumped APP_VERSION to 0.8.139 and updated the changelog to reflect recent changes.
- Enhanced the Training Planning Module to support new phase handling, including improved labeling for sections in the editor.
- Updated the API payload structure to accommodate parallel streams and phases, ensuring better integration with the frontend components.
- Refactored utility functions for improved clarity and maintainability in handling training unit sections and phases.
- Bumped APP_VERSION to 0.8.138 and updated the changelog to reflect recent changes.
- Enhanced training unit planning with support for POST/PUT requests including phases and parallel streams.
- Fixed role assignment validation for stream co-trainers and added integration tests for phase handling.
- Updated the training planning API to improve data structure and retrieval for nested phases and sections.
- 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.
- Bumped APP_VERSION to 0.8.136 and updated the changelog to reflect recent changes.
- Fixed the Mandanten-Header handling in `api/exercises.js` for improved API requests.
- Continued Frontend Phase 4 with the addition of the `exercises.js` module, enhancing the API structure.
- Updated architecture documentation to include details on the new `exercises.js` API and its integration with the existing client structure.
- Enhanced `utils/api.js` to re-export the new exercises module, streamlining API access.
- Bumped APP_VERSION to 0.8.134 and updated the changelog to reflect recent changes.
- Continued Frontend Phase 4 with the introduction of the `frontend/src/api/planning.js` module for training planning.
- Updated architecture documentation to include details on the new `planning.js` API and its integration with the existing client structure.
- Enhanced `utils/api.js` to re-export the new planning module, streamlining API access.
- Bumped APP_VERSION to 0.8.133 and updated the changelog to reflect recent changes.
- Initiated Frontend Phase 4 Welle 1, introducing a centralized HTTP client in `frontend/src/api/client.js` while maintaining `utils/api.js` as a facade.
- Documented the changes in the architecture roadmap and README for clarity on the new API structure.
- Bumped APP_VERSION to 0.8.132 and updated the changelog to reflect recent changes.
- Removed unused imports and refactored the ExerciseFormPage, ExercisesListPage, and TrainingPlanningPage for improved code clarity and maintainability.
- Enhanced the overall structure of the components by eliminating redundant code and optimizing imports.
- Bumped APP_VERSION to 0.8.131 and updated the changelog to reflect recent changes.
- Added the TrainingPlanningUnitFormModal component to the TrainingPlanningPage for enhanced training unit management.
- Refactored frameworkLineageText utility function for better code organization and reusability in the training planning context.
- Updated BASELINE_SNAPSHOT documentation to include new metrics and logging details for k6 health checks.
- Bumped APP_VERSION to 0.8.130 and updated the changelog to reflect recent changes.
- Fixed PUT/POST for training_units to handle assistant_trainer_profile_ids as JSONB using psycopg2.extras.Json, resolving a ProgrammingError during co-assignment.
- Bumped APP_VERSION to 0.8.129 and updated the changelog to reflect recent changes.
- Added the TrainingPlanningTrainerAssignModal component to the TrainingPlanningPage for enhanced trainer assignment functionality.
- Implemented new callback functions for managing lead trainer and assistant assignments in the training planning process.
- Bumped APP_VERSION to 0.8.128 and updated the changelog to reflect recent changes.
- Added the TrainingPlanningModuleApplyModal component to the TrainingPlanningPage for enhanced training module application functionality.
- Implemented a new callback function onModuleApplySectionIndexChange to manage module application section index changes.
- Bumped APP_VERSION to 0.8.126 and updated the changelog to reflect recent changes.
- Added the TrainingPlanningFrameworkImportModal component to the TrainingPlanningPage for improved training session management.
- Implemented a new Playwright test to verify the functionality of the framework import dialog in the training planning page.
- Bumped APP_VERSION to 0.8.125 and updated the changelog to reflect recent changes.
- Added new tests for the dashboard API to ensure proper HTTP 200 responses when inner lists are mocked.
- Enhanced the ExerciseListBulkToolbar component with a data-testid for improved testing capabilities.
- Refactored the TrainingPlanningPage by extracting utility functions to trainingPlanningPageHelpers for better code organization.
- Bumped APP_VERSION to 0.8.124 and updated the changelog to reflect recent changes.
- Introduced the ExerciseListBulkToolbar component in ExercisesListPage for improved bulk action handling.
- Enhanced the user interface for selecting and managing exercises in bulk.
- Bumped APP_VERSION to 0.8.123 and updated the changelog to reflect recent changes.
- Fixed internal calls in GET /api/dashboard/kpis to use unwrap_query_default, preventing 500 errors due to FastAPI query defaults.
- Enhanced list_exercises and list_training_units functions to utilize unwrap_query_default for improved query handling.
- Added unit tests for unwrap_query_default to ensure correct behavior in various scenarios.
- Bumped APP_VERSION to 0.8.122 and updated the changelog to reflect new features.
- Integrated useExerciseListCatalogsAndQuery hook in ExercisesListPage for improved exercise list management and data fetching.
- Enhanced documentation to include new concepts for parallel training streams and their technical specifications.
- Updated DOMAIN_MODEL and related technical specs to clarify the structure and functionality of training streams within units.
