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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supervisord.conf
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supervisord.conf
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[supervisord]
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nodaemon=true
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logfile=/dev/stdout
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logfile_maxbytes=0
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[supervisorctl]
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serverurl=unix:///tmp/supervisor.sock
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[unix_http_server]
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file=/tmp/supervisor.sock
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[program:django]
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command=sh -c "python manage.py migrate && python manage.py runserver 0.0.0.0:8000"
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directory=/code
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autostart=true
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autorestart=true
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stdout_logfile=/dev/stdout
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stdout_logfile_maxbytes=0
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stderr_logfile=/dev/stderr
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stderr_logfile_maxbytes=0
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[program:nextjs]
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command=npx next start -p 3000 -H 0.0.0.0
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directory=/code/werkout-frontend
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autostart=true
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autorestart=true
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stdout_logfile=/dev/stdout
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stdout_logfile_maxbytes=0
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stderr_logfile=/dev/stderr
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stderr_logfile_maxbytes=0
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