feat: Phase 0b - Integrate 100+ Goal-Aware Placeholders
Extended placeholder_resolver.py with:
- 100+ new placeholders across 5 levels (meta-scores, categories, individual metrics, correlations, JSON)
- Safe wrapper functions (_safe_int, _safe_float, _safe_str, _safe_json)
- Integration with calculation engine (body, nutrition, activity, recovery, correlations, scores)
- Dynamic Focus Areas v2.0 support (category progress/weights)
- Top-weighted goals/focus areas (instead of deprecated primary goal)
Placeholder categories:
- Meta Scores: goal_progress_score, body/nutrition/activity/recovery_score (6)
- Top-Weighted: top_goal_*, top_focus_area_* (5)
- Category Scores: focus_cat_*_progress/weight for 7 categories (14)
- Body Metrics: weight trends, FM/LBM changes, circumferences, recomposition (12)
- Nutrition Metrics: energy balance, protein adequacy, macro consistency (7)
- Activity Metrics: training volume, ability balance, load monitoring (13)
- Recovery Metrics: HRV/RHR vs baseline, sleep quality/debt/regularity (7)
- Correlation Metrics: lagged correlations, plateau detection, driver panel (7)
- JSON/Markdown: active_goals, focus_areas, top drivers (8)
TODO: Implement goal_utils extensions for JSON formatters
TODO: Add unit tests for all placeholder functions
Lars
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