- Introduced `findings_stale` field in `GraphPlanningRoadmapArtifact` to track the freshness of findings.
- Updated `ProgressionGraphEditor` to manage `findingsStale` state across various functions, ensuring accurate representation of evaluation status.
- Modified related utility functions and tests to accommodate the new state, enhancing overall functionality and user feedback in the progression graph management process.
- Added `evaluationStale` state to `ProgressionGraphEditor` and `ProgressionFindingsPanel` to track the freshness of evaluations.
- Updated UI to display a warning when evaluations are stale, prompting users to re-evaluate the graph.
- Modified loading and evaluation functions to manage the `evaluationStale` state effectively, ensuring accurate user feedback during the evaluation process.
- Improved user notifications regarding the need for re-evaluation after changes to the graph.
- Introduced `_build_off_topic_slot_gap_spec` to generate specifications for off-topic slots, improving the handling of filled but thematically inappropriate slots.
- Added `_build_unified_slot_review_entry` to streamline the review process for slots, incorporating various parameters for better evaluation and suggestions.
- Enhanced existing logic in slot management to improve the robustness of path evaluations and user feedback.
- Added tests for the new off-topic slot gap specification to ensure functionality and correctness.
- Introduced new functions `_off_topic_semantic_scores_by_slot` and `_score_exercise_stage_fit_for_spec` to improve the evaluation of off-topic steps and exercise stage fit, enhancing the quality assessment process.
- Updated `_run_unified_slot_improvement_review` to incorporate off-topic scores and exercise stage fit scoring, refining the decision-making process for slot suggestions.
- Enhanced existing logic to streamline the handling of slot scores and improve the overall robustness of slot management in path evaluations.
- Introduced `_parse_slot_refs_from_text` to extract and convert slot references from text, improving the handling of user input in path evaluations.
- Updated `_problematic_slots_from_path_qa` to utilize the new parsing function, enhancing the identification of problematic slots based on various hints and issues.
- Enhanced `ProgressionGraphEditor` and `ProgressionOptimizeCompareModal` to better display identified problem slots and their associated reasons, improving user feedback during evaluations.
- Added tests for new parsing functionality and its integration with existing slot management processes, ensuring robustness in slot reference handling.
- Introduced `_resolve_hint_major_index` to accurately map hints to major step indices, improving the handling of optimization hints in path evaluations.
- Added `_problematic_slots_from_path_qa` to identify and categorize problematic slots based on baseline QA, enhancing the quality assessment process.
- Updated `_slot_suggestion_accepted` to incorporate new parameters for slot problems and stage specifications, refining the decision-making process for slot suggestions.
- Enhanced `ProgressionGraphEditor` to improve user notifications regarding identified issues and suggestions, ensuring clearer communication of path evaluation results.
- Modified `buildProgressionComparePayload` and `buildUnifiedSlotReviewComparePayload` to support baseline evaluations, streamlining the comparison process for proposed paths.
- Added `_quick_evaluate_steps_qa` function to streamline path quality assessment without recursive API calls, enhancing performance for slot comparisons.
- Introduced `compute_deterministic_path_quality_score` to provide a heuristic quality score based on gaps and off-topic steps, improving evaluation accuracy.
- Updated `_run_unified_slot_improvement_review` to utilize the new quick evaluation method, optimizing the review process and integrating quality scoring.
- Enhanced `build_path_qa_summary` to include quality score calculations, ensuring comprehensive feedback on path evaluations.
- Refactored related functions for improved clarity and efficiency in handling path quality assessments.
- Introduced new fields in `ProgressionPathSuggestRequest` for baseline evaluation and incremental scoring, improving the assessment of proposed paths.
- Implemented `_apply_slot_diff_to_steps` and `_score_incremental_slot_diffs` functions to manage slot differences and evaluate their impact on quality scores.
- Updated `ProgressionGraphEditor` to streamline the match comparison flow, integrating new evaluation parameters and improving user notifications.
- Enhanced `ProgressionOptimizeCompareModal` to better display proposed path suggestions, including pro/con evaluations and quality delta metrics.
- Refactored utility functions for clearer handling of slot differences and improved overall data management in the progression graph editor.
- Introduced new utility functions for comparing slot differences, including `compareDiffKind`, `annotateCompareDiffKinds`, and various filtering functions to streamline the comparison process.
- Updated `ProgressionGraphEditor` to utilize the new comparison logic, improving the handling of slot differences and user notifications.
- Enhanced `ProgressionOptimizeCompareModal` to better manage proposed path suggestions, including clearer messaging and improved selection handling for optional replacements.
- Adjusted frontend components to reflect changes in comparison logic, ensuring a more intuitive user experience in managing progression paths.
- Introduced `buildProgressionComparePayload` to create a structured comparison response from baseline and proposed evaluation results, enhancing clarity in slot differences.
- Refactored `fetchMatchCompare` to `fetchFullMatch` for improved clarity and functionality in fetching progression paths.
- Updated `runMatchCompareFlow` to streamline the evaluation process, integrating baseline and match results for a comprehensive comparison.
- Enhanced utility functions for managing slot differences and gap fill offers, improving overall data handling in the progression graph editor.
- Adjusted frontend components to reflect these changes, ensuring a more intuitive user experience in managing progression paths.
- Removed the `try_suggest_ai_stage_step` function from `_enrich_roadmap_unfilled_gap_offers`, simplifying the gap fill offer generation process.
- Updated `_run_evaluate_only_path_qa` and `suggest_progression_path` to disable AI calls and proposals, enhancing control over evaluation parameters.
- Adjusted `ProgressionGraphEditor` to reflect changes in API requests, ensuring consistent handling of evaluation data.
- Added a new test to validate the behavior of proposed QA when no slot differences are present, improving test coverage for comparison logic.
- Integrated `try_suggest_ai_stage_step` to suggest AI-generated gap fill steps based on user input, improving the automation of the planning process.
- Updated `_enrich_roadmap_unfilled_gap_offers` to conditionally include AI gap fill proposals, enhancing the offer generation logic.
- Implemented `_merge_gap_fill_offers_from_steps` to consolidate gap fill offers from various steps, ensuring a comprehensive list of available offers.
- Modified `ProgressionGraphEditor` to utilize the new merging logic for gap fill offers, improving the user experience in managing offers.
- Enhanced utility functions to streamline the collection and filtering of gap fill offers from API responses.
- Bumped version to reflect the new features and improvements.
- Updated `suggest_progression_path` to utilize `evaluate_steps` for improved validation, ensuring at least one evaluation step is provided.
- Modified frontend components to enhance user experience in the comparison process, including clearer messaging and improved dialog handling.
- Adjusted `ProgressionGraphEditor` to streamline the comparison flow and integrate new evaluation parameters.
- Enhanced `ProgressionOptimizeCompareModal` to reflect changes in comparison logic, allowing for better user interaction with proposed path suggestions.
- Bumped version to reflect the new features and improvements.
- Introduced `_baseline_slot_accepts_rematch_suggestion` to filter out filled or invalid slots from rematch suggestions, improving the accuracy of rematch logic.
- Updated `_build_rematch_suggestion_diffs` to skip non-eligible baseline slots, streamlining the rematch suggestion process.
- Added `_evaluate_steps_for_compare_qa` to evaluate steps against the current state, enhancing the quality assessment during progression path suggestions.
- Modified `_build_progression_compare_response` to ensure proper handling of slot differences and quality scores, improving response clarity.
- Updated frontend components to reflect changes in rematch handling and evaluation logic.
- Bumped version to reflect the new features and improvements.
- Introduced `_annotate_slot_diffs` to mark trivial ID swaps in slot differences, improving clarity in comparison results.
- Added `_actionable_slot_diffs` to filter out non-actionable differences, streamlining the evaluation process.
- Implemented `_build_rematch_suggestion_diffs` to generate suggestions based on rematch logs, enhancing the path optimization workflow.
- Updated `_build_progression_compare_response` to incorporate actionable slot differences and rematch suggestions, improving the response structure.
- Enhanced frontend components to display rematch suggestions and handle trivial differences more effectively.
- Bumped version to reflect the new features and improvements.
- Introduced `_steps_to_evaluate_payloads` to convert path steps into evaluation payloads for improved quality assessments.
- Updated `_build_progression_compare_response` to include a new `proposed_eval` parameter, allowing for fair quality assessment comparisons.
- Enhanced `ProgressionGraphEditor` to utilize the new pipeline quality assessment data.
- Modified `ProgressionOptimizeCompareModal` to display detailed comparison results, including handling of trivial slot differences and optimization hints.
- Bumped version to reflect the new features and improvements.
- Updated `suggest_progression_path` to include additional evaluation parameters, allowing for more comprehensive path assessments.
- Introduced `PathQaPipelineDetails` component to display detailed quality assessment metrics, including rematch and refine logs, in the frontend.
- Enhanced `ProgressionGraphEditor` to manage proposed path evaluations and integrate quality assessment results into the draft workflow.
- Improved `ProgressionOptimizeCompareModal` to present optimization hints and quality tier information for proposed paths.
- Bumped version to reflect the new features and improvements.
- Added `compare_with_assignments` flag to `ProgressionPathSuggestRequest` to enable comparison of proposed paths with existing slot assignments.
- Introduced `_assignment_preservation_active` function to determine if existing assignments should be preserved during path suggestions.
- Enhanced `suggest_progression_path` to handle comparison logic, including validation for minimum slot assignments required for comparison.
- Implemented `_build_progression_compare_response` to structure the response for comparison results, including slot differences and quality scores.
- Updated frontend components to support new comparison features, including handling of slot assignments and optimization comparisons.
- Bumped version to reflect the new features and improvements.
- Introduced `filter_rematch_slot_indices` to exclude preserved slots from rematching, improving the accuracy of slot assignments.
- Added `_slot_priority_for_rematch` to prioritize existing slot assignments during rematching, enhancing the robustness of the rematch process.
- Updated `_run_roadmap_rematch_loop` to utilize the new filtering and prioritization logic, ensuring better handling of rematch scenarios.
- Enhanced tests in `test_planning_path_rematch.py` to validate the new filtering behavior and ensure correct exercise restoration when not rejected.
- Bumped version to reflect the new features and improvements.
- Updated `PROJECT_STATUS.md` to reflect the addition of the Planning AI Progression Graph and its context in the roadmap.
- Enhanced `DOMAIN_MODEL.md` with details on the new `planning_catalog_context` features, allowing trainers to manage curriculum stages and context.
- Added tests in `test_planning_catalog_context.py` to validate the separation of LLM highlights from fix hints during QA processes.
- Updated `HANDOVER.md` and `PLANNING_KI_ROADMAP.md` to reflect the latest app version and improvements in the planning context.
- Enhanced frontend components to support the new planning catalog context, including updates to `ExerciseProgressionPathBuilder` and `ProgressionGraphEditor`.
- Bumped version to 0.8.233 to reflect the new features and improvements.
