- Bumped application version to 0.9s and updated changelog with new features.
- Introduced `_weight_trend_kpi` function to analyze weight trends and provide verdicts based on historical data.
- Updated `get_body_history_viz_bundle` to include the new weight trend KPI, improving insights on weight changes.
- Refactored the History component to utilize the new trend KPI, enhancing user experience with clearer weight trend interpretations.
- Bumped application version to 0.9r and updated build date to 2026-04-20.
- Added a new endpoint `/activity-last-updated` to retrieve the last activity date for a user, optimizing data retrieval for activity history.
- Updated the frontend to utilize the new endpoint, enhancing the ActivitySection with the last activity date display.
- Refactored the History component to streamline data loading and improve user experience with activity insights.
- Refactored the `calculate_lag_correlation` function to normalize lag payloads and improve correlation calculations for various nutrition metrics.
- Introduced a new function `build_nutrition_correlation_heuristic_items` to generate heuristic insights based on merged nutrition data, enhancing user understanding of dietary impacts on weight and body composition.
- Updated the `get_nutrition_history_viz_bundle` function to include daily calorie balance and protein vs. lean mass data, providing a comprehensive view of nutrition trends.
- Enhanced the frontend to visualize calorie balance and protein vs. lean mass insights, improving the user experience with clear graphical representations of dietary correlations.
- Modified the `build_sleep_debt_chart_payload` function to correctly handle date types, ensuring only valid dates are processed.
- Enhanced the logic to append today's date and current debt value to the chart data if the last recorded date is earlier than today, aligning the chart with KPI metrics.
- Updated metadata calculations to reflect the correct number of data points based on labels, improving the accuracy of the recovery chart payload.
- Introduced new constants for sleep debt calculations, including target hours and rolling window days.
- Added a function to calculate sleep debt over a specified window, aligning with KPI logic.
- Updated SQL queries in recovery chart payloads to ensure accurate data retrieval for sleep metrics.
- Enhanced the RecoveryDashboardOverview component to reflect changes in sleep debt visualization and descriptions, improving user understanding of metrics.
- Refined chart labels and notes for clarity, ensuring users can easily interpret recovery and sleep data.
- Added an `include_avg_sleep_kpi` parameter to the `build_recovery_dashboard_kpi_tiles` function to conditionally include average sleep data in the dashboard.
- Updated the `get_recovery_dashboard_viz_bundle` function to pass the new parameter, ensuring flexibility in data presentation.
- Refactored the insights generation in the `vitals_fitness_insights.py` file to utilize a new structured approach for better organization of heart and VO2 insights.
- Introduced new components in the frontend for displaying insights, improving the user experience and clarity of vital metrics.
- Removed unnecessary snapshot key omission in the `build_vital_signs_matrix_chart_payload` function for improved data clarity.
- Introduced new components for better organization and presentation of vital signs insights, including `SectionHeading` and `VitalZoneHint`.
- Enhanced axis tick formatting in the `RecoveryDashboardOverview` component for clearer data representation.
- Updated narrative rendering logic to improve user experience and contextual understanding of vital metrics.
- Introduced `_de_num` and `_de_num_signed` functions for formatting decimal numbers with a comma, improving text presentation in German.
- Updated `_build_consolidated_paragraphs` to utilize new formatting functions for HRV and resting heart rate comparisons, enhancing clarity in insights.
- Refined narrative descriptions for better contextual understanding of vital signs trends and their implications.
- Updated the `build_vital_signs_matrix_chart_payload` function to accept optional keys for omitting specific snapshot data, improving flexibility in data presentation.
- Enhanced the `build_recovery_dashboard_kpi_tiles` function to conditionally merge heart and autonomic tiles based on new parameters, refining the dashboard's insights.
- Integrated new analytics features in the `RecoveryDashboardOverview` component, including consolidated paragraphs for better narrative context and visual representation of trends.
- Improved the handling of vital signs data in the frontend, ensuring clearer messaging and enhanced user experience when displaying vital metrics.
- Integrated the `build_vitals_history_and_analytics` function into the recovery dashboard to provide historical insights on vital signs.
- Updated the `get_recovery_dashboard_viz_bundle` function to include a new chart for vitals history, enhancing the data visualization capabilities.
- Enhanced the `RecoveryDashboardOverview` component to render vitals history, including improved messaging for insufficient data and visual representation of trends.
- Introduced a new function `_merge_vitals_baseline_rows` to streamline the retrieval and merging of vital signs data, ensuring the latest non-empty values are prioritized.
- Updated SQL queries in `build_vital_signs_matrix_chart_payload` to enhance data retrieval efficiency and accuracy.
- Refactored the `renderVitalSigns` function in the `RecoveryDashboardOverview` component to improve handling of vital signs data, including better fallback messaging and chart rendering logic.
- Enhanced user feedback by providing clearer messages when no vital data is available, improving overall user experience.
- Introduced new functions to handle vital signs data retrieval and processing, including fallback mechanisms for missing values.
- Updated SQL queries in `build_vital_signs_matrix_chart_payload` to improve date filtering and data accuracy.
- Enhanced the frontend `RecoveryDashboardOverview` component to display vital signs with contextual coloring based on health tones.
- Adjusted the data structure for chart rendering, ensuring a more informative and visually appealing representation of vital metrics.
- Modified the SQL query in `build_vital_signs_matrix_chart_payload` to use `measured_at::date` for date comparisons, ensuring correct data retrieval based on the measurement date.
- Adjusted the order of results to sort by `measured_at` instead of `date`, improving the accuracy of the latest vital signs data fetched.
- Changed SQL queries in `build_sleep_duration_quality_chart_payload` and `build_sleep_debt_chart_payload` to select `duration_minutes` instead of `total_sleep_min`.
- Updated calculations for sleep duration and quality scores to reflect the new field names, ensuring accurate data representation in the recovery charts.
- Added a new endpoint for the recovery dashboard visualization in `charts.py`, integrating multiple recovery metrics and insights.
- Implemented the `get_recovery_dashboard_viz` function to streamline data retrieval for recovery-related charts.
- Refactored the `RecoveryCharts` component to utilize the new `RecoveryDashboardOverview`, simplifying the component structure and enhancing maintainability.
- Updated the `RecoveryChartsPanelWidget` and `History` page to reflect the new recovery dashboard, improving user navigation and experience.
- Deprecated the old recovery charts component, encouraging the use of the new overview for better data presentation.
- Refactored the `calculate_proxy_internal_load_7d` function to `calculate_proxy_internal_load_window`, allowing for dynamic day range input.
- Introduced new functions for calculating training volume deltas and building fitness progress insights, enhancing user feedback on training metrics.
- Updated the fitness dashboard to include new charts for quality sessions and load monitoring, improving data visualization.
- Integrated these new metrics into the fitness dashboard overview, providing users with comprehensive insights into their training performance.
- Streamlined the router to utilize the new chart-building functions, ensuring consistency and maintainability across the application.
- Added new functions to build fitness dashboard visualizations, including weekly training volume and training type distribution charts.
- Updated the `charts.py` router to include a new endpoint for the fitness dashboard, integrating data from activity metrics.
- Refactored existing activity-related functions to improve modularity and maintainability.
- Updated frontend components to reflect the new fitness terminology and integrate the fitness dashboard overview, enhancing user experience.
- Added `get_energy_availability_warning_payload` function to assess energy availability and provide contextual warnings based on multiple health indicators.
- Integrated energy availability KPI tile into the nutrition history visualization, enhancing user insights on energy balance.
- Updated frontend components to conditionally display the energy availability warning, improving user experience and data interpretation.
- Refactored existing logic in `charts.py` to utilize the new energy availability functionality, streamlining data handling.
- Added contextual hints to KPI tiles in the nutrition interpretation to provide users with actionable insights regarding protein intake and weight assessment.
- Updated the KpiTilesOverview component to display these hints, improving user understanding of nutrition metrics.
- Introduced a new KcalVsWeightLegend component to clarify chart data representation, enhancing the overall user experience in the history visualization.
- Changed color codes for macro nutrients in the nutrition interpretation and metrics files to improve visual consistency.
- Added new CSS styles for uniform chart height and layout adjustments in the frontend components, enhancing the overall user experience.
- Refactored the NutritionCharts component to utilize the new macro chart theme for better maintainability and readability.
- Added a new `nutrition_interpretation.py` file to handle KPI tile generation for nutrition history.
- Introduced `nutrition_viz.py` to create a visualization bundle for nutrition data, integrating metrics and historical analysis.
- Implemented `get_nutrition_history_viz` endpoint in `charts.py` to serve the new visualization data.
- Updated frontend components to fetch and display nutrition history data, enhancing user experience with detailed insights.
- Refactored existing logic to streamline data handling and improve overall performance.
- Updated the `get_body_history_viz_bundle` function to retrieve the two most recent circumference measurements for improved data accuracy.
- Refactored the handling of previous measurement data to ensure comprehensive interpolation for body metrics.
- Modified frontend labels in the `buildBodyKpiTiles` function to provide clearer descriptions in German, enhancing user understanding of body metrics.
- Introduced a new API endpoint `/body-history-viz` to retrieve body history visualization data.
- Updated the frontend to fetch and display body history data in the `BodySection` component.
- Enhanced the `EvaluationTileGrid` to include related placeholder keys for improved data interpretation.
- Refactored existing logic to streamline data handling and improve user experience.
- Introduced `get_profile_reference_values_current_snapshot` and `get_profile_reference_values_recent_snapshot` functions to retrieve current and recent reference values for profiles.
- Updated the placeholder resolver to include new placeholders for current and recent reference values.
- Added new API endpoints for fetching current and recent reference values snapshots.
- Enhanced the frontend API utility to support the new snapshot endpoints.
- Improved unit tests to validate the new data layer functions and their behavior.
- Introduced `c_arm_relaxed` to the CircumferenceEntry model for tracking relaxed arm measurements.
- Updated database schema to include `c_arm_relaxed` in the circumference_log table.
- Implemented calculation for 28-day relaxed arm circumference change with `calculate_arm_relaxed_28d_delta`.
- Enhanced placeholder resolver and registration to support new relaxed arm measurement.
- Updated frontend components to accommodate the new measurement, including forms and CSV exports.
- Improved documentation and guide data to reflect the addition of relaxed arm measurements.
- Updated `_normalize_metric_value_for_read` to compact numeric strings and ensure consistent formatting for string data types.
- Enhanced `normalize_prompt_number` to handle numeric strings and non-finite float values effectively.
- Improved unit tests to validate the new normalization behavior for session metrics and scalar formatting.
- Introduced `format_scalar_for_prompt_text` function to standardize the representation of scalar values in activity summaries and details.
- Updated `get_activity_summary` and `get_activity_detail` functions to utilize the new formatting for improved readability.
- Added normalization for float values in session metrics to prevent excessively long representations.
- Enhanced unit tests to verify the new formatting and normalization behavior.
- Integrated compact JSON payload generation for session metrics in `get_training_sessions_recent_weeks_data`.
- Updated the registration of activity session insights to reflect the new compact format for session metrics.
- Improved documentation to clarify the structure and semantics of the session metrics in the JSON output.
- Added normalization for prompt numbers to ensure consistent formatting in the metrics.
- Updated `get_activity_session_logical_unit` to support optional parameters for form training context, allowing for more flexible schema resolution.
- Introduced a new endpoint `/attribute-schema` to fetch activity attribute schemas without an existing session, improving manual data entry capabilities.
- Enhanced the `getActivitySession` API method to accept query parameters for training category and type, facilitating dynamic schema retrieval.
- Updated the frontend `ActivityPage` to utilize the new schema fetching logic, ensuring a smoother user experience when managing activity sessions and metrics.
- Introduced new fields for descriptions in training parameters, improving clarity for AI context in `training_sessions_recent_json`.
- Added a glossary placeholder `{{training_parameters_glossary_md}}` to provide a Markdown table of active training parameters, including names and descriptions.
- Updated the `placeholder_resolver.py` and `activity_metrics.py` to support the new glossary functionality.
- Enhanced the `AdminActivityAttributeProfilesPage` to allow input for descriptions in both German and English, ensuring better context for metrics.
- Revised tests to validate the inclusion of description fields in parameter schema merges and metrics handling.
- Enhanced the `merge_column_backed_and_eav_metrics` function to ensure that when both legacy columns and EAV values are present, the legacy column takes precedence.
- Revised documentation in `ACTIVITY_PRODUCTION_ARCHITECTURE_AND_PHASES.md` and `ACTIVITY_SCALAR_KANON_TABLE.md` to reflect the new reading logic and clarify the handling of metrics.
- Updated the `activity_data_canon.py` to specify the new merge behavior, ensuring consistency in data retrieval.
- Added unit tests to validate the new logic, confirming that legacy columns are preferred when available.
- Added new updates for Phase A and Phase B in `CLAUDE.md`, detailing the completion of Phase A and the introduction of enriched session metrics in the API response for `GET /api/activity`.
- Enhanced the README to include references to new documentation files for scalar canon and composite metrics implementation.
- Updated `ACTIVITY_PRODUCTION_ARCHITECTURE_AND_PHASES.md` to reflect the current status of phases and added navigation rules for data access.
- Improved `ACTIVITY_SESSION_METRICS_EAV_AGENT_GUIDE.md` with links to new implementation concepts for composite metrics.
- Refactored the activity router to integrate enriched session metrics into the activity list responses, ensuring a more comprehensive data presentation.
- Updated the `upsert_session_metrics_from_csv_mapped` function to ensure EAV writes are only skipped when the `source_field` is populated, preventing duplicate storage.
- Enhanced unit tests to cover scenarios where the `source_field` is set but the corresponding column is empty, ensuring correct EAV behavior.
- Adjusted test cases to reflect changes in the handling of `hr_avg` and other metrics, improving overall test coverage and accuracy.
- Revised the `upsert_session_metrics_from_csv_mapped` function to clarify EAV writing conditions, ensuring only relevant parameters are processed.
- Enhanced the `merge_column_backed_and_eav_metrics` function to exclude EAV rows for parameters not present in the schema, improving data integrity.
- Updated unit tests to reflect changes in EAV handling and ensure correct functionality when parameters are mapped or not mapped in the profile schema.
- Improved frontend logic to prevent duplicate display of metrics already handled in the entry form, enhancing user experience.
- Eliminated checks for `source_field` in the `replace_activity_session_metrics` function to streamline EAV row replacement, ensuring consistency with existing logic.
- Updated frontend logic to simplify the filtering of metrics during payload construction, enhancing maintainability.
- Removed outdated unit tests related to `source_field` handling, reflecting the updated logic in the codebase.
- Modified the `replace_activity_session_metrics` function to skip EAV inserts for parameters with a defined `source_field`, aligning with the existing logic in `upsert_session_metrics_from_csv_mapped`.
- Enhanced the frontend logic to filter out metrics associated with `source_field` during payload construction, improving data integrity and user experience.
- Added unit tests to validate the new behavior, ensuring that metrics with `source_field` are correctly excluded from inserts.
- Enhanced the `upsert_session_metrics_from_csv_mapped` function to skip EAV writes when a `source_field` is provided, ensuring canonical handling of activity logs.
- Updated the docstring to clarify the behavior regarding `source_field` and EAV logic.
- Added unit tests to validate the new behavior, ensuring correct functionality when `source_field` is set or not set during CSV imports.
- Replaced hardcoded keys in `activity_data_canon.py` with a dynamic retrieval method from the module registry, ensuring that `ACTIVITY_MODULE_REGISTRY_FIELD_KEYS` reflects the current configuration.
- Updated `activity_persistence_orchestrator.py` to utilize the new dynamic field retrieval function, enhancing consistency across the data layer.
- Modified `activity_session_metrics.py` to reference the dynamic field keys, improving maintainability and reducing redundancy in the codebase.
Reverts cd29c7d..026c51b per git revert. Alle zwischenliegenden Commits bleiben in Gitea sichtbar; der Arbeitsbaum entspricht wieder dem Stand von ca8cee9.
Made-with: Cursor
- Introduced `resolve_activity_attribute_schema_for_csv_import` to enhance the handling of training parameters during CSV imports, allowing for the inclusion of active parameters not present in the category/type profile.
- Updated `apply_activity_mapped_column_aliases` and `upsert_session_metrics_from_csv_mapped` to utilize the new CSV import function, ensuring comprehensive mapping and insertion of metrics.
- Added unit tests to validate the new functionality and ensure correct behavior when handling mapped training parameters during CSV imports.
- Updated the `_import_activity` function to include new metrics: duration_min, kcal_active, kcal_resting, hr_avg, hr_max, and distance_km during CSV imports.
- Modified the `insert_activity_csv_minimal` function to accept and store these additional metrics in the activity log.
- Enhanced the `run_activity_post_write_hooks_import` function to utilize the new metrics for auto-evaluation after activity imports.
- Updated the activity import router to pass the new metrics from the CSV file to the database functions, ensuring comprehensive data handling.
- Improved frontend handling of activity entry forms to accommodate the new metrics, enhancing user experience during activity log edits.
- Updated `ACTIVITY_PRODUCTION_ARCHITECTURE_AND_PHASES.md` to clarify the derivation of `ACTIVITY_MODULE_REGISTRY_FIELD_KEYS` from `csv_parser.module_registry`.
- Enhanced `activity_data_canon.py` to eliminate hardcoded key lists, ensuring all registry fields are derived dynamically.
- Refactored the `_import_activity` function to remove redundant parameters and streamline the import process.
- Improved the `insert_activity_csv_minimal` function to handle metrics exclusively through `update_activity_columns`, preventing hardcoded values.
- Updated frontend components to manage editable activity log fields more effectively, ensuring proper handling of metrics during CSV imports.
- Added unit tests to validate the new logic and ensure consistency in activity session metrics handling.
- Updated the `ACTIVITY_SESSION_METRICS_EAV_AGENT_GUIDE` with new details on CSV import processes and EAV handling, improving documentation clarity.
- Refactored the `_import_activity` function to utilize `apply_activity_mapped_column_aliases`, ensuring proper mapping of training parameters and reducing redundancy.
- Introduced validation for numeric bounds in the `activity_csv_registry_updates_from_mapped` function, enhancing data integrity during CSV imports.
- Added new utility functions to manage column aliasing and streamline the upsert process for session metrics, preventing duplicate entries.
- Implemented unit tests to validate the new aliasing logic and ensure correct behavior during session metrics updates.
- Updated the README to include new activity production architecture and phases, improving clarity on the development roadmap.
- Enhanced the `ACTIVITY_SESSION_METRICS_EAV_AGENT_GUIDE` with details on the target architecture and phase plan for production readiness.
- Introduced a new function `merge_column_backed_and_eav_metrics` to streamline the merging of metrics from column-backed and EAV sources, ensuring data integrity and reducing duplication.
- Refactored session metrics handling to eliminate deprecated synchronization methods, improving the overall efficiency of data processing.
- Added unit tests for the new merging logic, ensuring robust validation of metrics handling.
- Replaced the deprecated `resolve_activity_log_column_patch_from_csv` function with `activity_csv_registry_updates_from_mapped` to streamline updates from CSV mappings.
- Updated the `_import_activity` function to utilize the new registry updates, improving data integrity during activity imports.
- Enhanced the activity module registry by adding German labels for various fields, improving localization support.
- Refactored the session metrics handling to ensure only relevant fields are processed, enhancing the overall robustness of CSV imports.
- Enhanced the docstring for `upsert_session_metrics_from_csv_mapped` to clarify the handling of schema parameters and EAV logic.
- Modified the condition for skipping updates based on `source_field` to ensure only patchable columns are processed, improving data integrity during session metrics upsert operations.
- Updated the `ACTIVITY_LOG_PATCHABLE_COLUMNS` and `ACTIVITY_LOG_PATCH_FORBIDDEN` sets to improve validation of CSV imports, ensuring only allowed fields are patched.
- Refactored the `_coerce_raw_value_for_parameter` function to handle string inputs for integer and float types, enhancing data coercion accuracy.
- Modified the `SessionMetricsFields` component to display orphan metrics that do not match the current schema, improving user visibility of imported data discrepancies.
- Enhanced the frontend to handle and display additional metrics, ensuring a more comprehensive representation of session data.
- Updated the CSV import logic to merge active training parameters with static fields for the activity module, improving field mapping accuracy.
- Enhanced validation functions to incorporate dynamic field definitions based on active training parameters, ensuring better data integrity during imports.
- Refactored related functions to streamline the process of handling CSV templates and field mappings, improving maintainability and clarity.
- Added new utility functions for resolving activity log column patches and upserting session metrics from CSV, enhancing the overall import functionality.
- Updated the `get_activity_detail` function to include session metrics in the activity detail output, allowing for enriched data representation.
- Refactored the activity import logic to streamline the process of inserting and updating activity records, utilizing new helper functions for better maintainability.
- Improved the handling of duplicate activity entries by implementing a more robust identification mechanism.
- Enhanced the metadata for activity detail registration to reflect the inclusion of EAV metrics and updated source tables.
- Updated the `replace_activity_session_metrics` function to improve validation logic and error handling for required fields.
- Enhanced the activity listing query to order results by date, start time, and ID, ensuring consistent output.
- Modified the frontend to handle null values in metrics payload and improved the display of activity statistics, including total entries in profile and sample size.
