3 Commits

Author	SHA1	Message	Date
Lars	934b915357	First Version EAV Importer. feat: Enhance activity detail retrieval with EAV metrics and refactor activity import logic ... - 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.	2026-04-15 07:25:39 +02:00
Lars	e9e094c6a4	feat: Enhance nutrition and activity metrics with new data layers ... - Added new functions for BMI and goal weight/body fat percentage retrieval in `body_metrics.py`. - Introduced training frequency and inter-session gap calculations in `activity_metrics.py`. - Updated placeholder registrations to include new metrics for nutrition and activity. - Improved data handling in `placeholder_resolver.py` for better integration of new metrics. - Enhanced documentation across modules to reflect the new functionalities. These updates improve the accuracy and comprehensiveness of health and fitness assessments within the application.	2026-04-11 20:46:17 +02:00
Lars	485aec40a0	feat: Activity Cluster Placeholder Registry - Complete Implementation (17 Placeholders) ... Implements complete placeholder registry for Activity & Training metrics following Phase 0c Multi-Layer Architecture pattern. SCOPE: 17 Activity Placeholders - Group 1 (3): Legacy Resolver - activity_summary, activity_detail, trainingstyp_verteilung - Group 2 (7): Basic Metrics - volume, frequency, quality, load, monotony, strain, rest compliance - Group 3 (7): Advanced Metrics - 5x ability_balance, vo2max_trend, activity_score IMPLEMENTATION: - File: backend/placeholder_registrations/activity_metrics.py (~1,100 lines) - Pattern: Nutrition Part A (common_metadata + evidence-based tagging) - Evidence: CODE_DERIVED (58%), DRAFT_DERIVED (16%), MIXED (15%), TO_VERIFY (6%), UNRESOLVED (5%) - Formulas: All documented in known_limitations (Load Model, Monotony, Strain, Ability Balance, Activity Score) CRITICAL ISSUES IDENTIFIED (NOT FIXED per NO LOGIC CHANGES): 1. quality_label field mismatch (quality_sessions_pct) - TO_VERIFY 2. RPE moderate quality mapping bug (proxy_internal_load_7d) - CODE_DERIVED 3. JSONB dependencies (6 placeholders) - ability_balance_*, rest_day_compliance 4. vo2max_trend_28d questionable category (Recovery vs. Activity) - TO_VERIFY TESTING: ✓ All 17 placeholders registered successfully ✓ Registry size: 48 (31 pre-existing + 17 new) ✓ Dev backend integration: no errors ✓ Auto-registration on module import: working ARCHITECTURE ALIGNMENT: - Phase 0c Multi-Layer: 14/17 aligned (Group 2 + 3) - Old Resolver Pattern: 3/17 (Group 1 - documented, should be refactored) - Layer separation: data_layer → resolver → export FILES: - NEW: backend/placeholder_registrations/activity_metrics.py - MODIFIED: backend/placeholder_registrations/__init__.py (added import) - MODIFIED: CLAUDE.md (placeholder registry rules) DOCUMENTATION: - Gap Analysis: .claude/task/rework_0b_placeholder/ACTIVITY_CLUSTER_GAP_ANALYSIS.md - Code Inspection: .claude/task/rework_0b_placeholder/ACTIVITY_CLUSTER_CODE_INSPECTION.md - Implementation Report: .claude/task/rework_0b_placeholder/ACTIVITY_CLUSTER_IMPLEMENTATION_REPORT.md Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-04-03 08:20:25 +02:00