workout generator audit: rules engine, structure rules, split patterns, injury UX, metadata cleanup
- Add rules_engine.py with quantitative rules for all 8 workout types - Add quality gate retry loop in generate_single_workout() - Expand calibrate_structure_rules to all 120 combinations (8 types × 5 goals × 3 sections) - Wire WeeklySplitPattern DB records into _pick_weekly_split() - Enforce movement patterns from WorkoutStructureRule in exercise selection - Add straight-set strength support (single main lift, 4-6 rounds) - Add modality consistency check for duration-dominant workout types - Add InjuryStep component to onboarding and preferences - Add sibling exercise exclusion in regenerate and preview_day endpoints - Display generator warnings on dashboard - Expand fix_rep_durations, fix_exercise_flags, fix_movement_pattern_typo - Add audit_exercise_data and check_rules_drift management commands - Add Next.js frontend with dashboard, onboarding, preferences, history pages - Add generator app with ML-powered workout generation pipeline - 96 new tests across 7 test modules Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@@ -1,8 +1,6 @@
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version: "3.9"
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services:
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db:
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image: postgres
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image: postgres:14
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volumes:
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- database:/var/lib/postgresql/data
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environment:
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@@ -17,12 +15,13 @@ services:
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web:
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build: .
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command: >
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sh -c "python manage.py collectstatic --noinput && python manage.py migrate && python manage.py runserver 0.0.0.0:8000"
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volumes:
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- .:/code
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- /code/werkout-frontend/node_modules
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- /code/werkout-frontend/.next
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ports:
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- "8000:8000"
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- "8001:8000"
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- "3010:3000"
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environment:
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- POSTGRES_NAME=werkout
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- POSTGRES_USER=postgres
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@@ -54,4 +53,4 @@ services:
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- web
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volumes:
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database:
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database:
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