- Introduced `_purge_stage_mismatch_roadmap_slots` to clear slots with persistent stage mismatches, improving the relevance of exercise suggestions.
- Updated `collect_gap_fill_specs` to handle stage mismatch issues more effectively, providing clearer rationale and title hints for off-topic exercises.
- Modified `_filter_learning_goal_candidate_ids` to enforce stricter filtering criteria, ensuring only relevant candidates are considered.
- Enhanced `rematch_roadmap_slots` to incorporate slot assignment history, preventing conflicts with previously assigned exercises.
- Bumped version to 0.8.230 to reflect the new features and improvements.
- Introduced `_step_neighbors_at_index` to safely retrieve neighboring steps without causing IndexErrors, improving robustness in gap fill specifications.
- Updated `collect_gap_fill_specs` to utilize the new neighbor retrieval function, ensuring safe access to adjacent steps during gap fill processing.
- Enhanced rematch logic in `_run_roadmap_rematch_loop` to incorporate `max_rematch_rounds`, allowing for controlled iterations during roadmap rematching.
- Improved handling of unfilled roadmap slots in `collect_rematch_slot_indices`, ensuring accurate identification of gaps in the progression path.
- Added tests to validate the new gap fill handling and rematch logic, ensuring reliability in path suggestion features.
- Added `tzdata` installation in the Dockerfile to support time zone handling in Linux environments.
- Increased `PIP_DEFAULT_TIMEOUT` and added retry logic for pip installations to enhance reliability during dependency installation.
- Updated `requirements.txt` to conditionally include `tzdata` for Windows platforms, ensuring compatibility across different operating systems.
- Improved off-topic step handling by incorporating roadmap major step indices for better indexing and detection.
- Refactored `collect_gap_fill_specs` to streamline the insertion logic for off-topic steps, ensuring correct placement based on major step indices.
- Introduced `_normalize_roadmap_steps_coverage` function to standardize roadmap steps coverage, enhancing the handling of missing slots.
- Added `prune_stripped_after_rematch` function to clean up stripped off-topic steps after rematching, improving the overall rematching process.
- Updated tests to validate new rematching and off-topic handling features, ensuring robustness against edge cases.
- Incremented application version to reflect these updates.
- Implemented functions to resolve neighboring steps based on major indices and build AI context for unfilled roadmap stages.
- Enhanced `try_suggest_ai_stage_step` to generate AI proposals for empty roadmap stages, improving user experience in gap filling.
- Updated `build_gap_fill_offer` to utilize major step neighbors for better context in offers related to unfilled slots.
- Added tests to ensure correct functionality of AI suggestion handling in the context of roadmap gaps.
- Incremented application version to reflect these updates.
- Updated `build_gap_fill_goal_text` to include expected skills in the generated text, improving clarity for users.
- Enhanced `_roadmap_gap_snapshot_for_spec` to incorporate skill expectations from the progression stage, enriching the roadmap context.
- Modified `_annotate_roadmap_step` to append skill expectations to the step reasons, providing additional insights.
- Updated tests to verify the inclusion of expected skills in the gap fill goal text.
- Incremented application version to 0.8.215 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.
- Introduced a roadmap-first approach for the planning AI, allowing for a structured progression graph that aligns with the overall project roadmap.
- Added new functionality to strip off-topic steps from exercise paths, improving the relevance of generated exercise suggestions.
- Implemented a detailed goal text generation for AI proposals, enhancing the context provided for new exercises.
- Updated the ExerciseProgressionPathBuilder component to support new features, including roadmap previews and improved focus area handling.
- Incremented application version to 0.8.205 and updated database schema version to 20260606086 to reflect these changes.
- Updated the AI gap filling logic to include structured offers for unfilled gaps, improving the user experience in the Exercise Progression Path Builder.
- Introduced new functions for detecting off-topic steps and parsing LLM-suggested exercises, enhancing the contextual relevance of exercise suggestions.
- Enhanced the frontend components to support new AI proposal features, including quick creation modals for newly suggested exercises.
- Incremented version to 0.8.190 and updated changelog to reflect these improvements in planning AI functionality.
- Introduced path reordering functionality using LLM with `ordered_step_indices`, allowing for dynamic adjustment of exercise progression paths.
- Added AI gap filling capabilities, enabling the system to propose new exercises when unbridgeable gaps are detected.
- Updated the backend to support new request parameters for path reordering and AI gap filling.
- Enhanced frontend components to reflect these new features, including alerts for AI proposals and adjustments in exercise display.
- Incremented version to 0.8.187 and updated changelog to document these significant enhancements in planning AI functionality.
