03681c532d
- Add Next.js rewrites to proxy API calls through same origin (fixes login/media on werkout.treytartt.com) - Fix mediaUrl() in DayCard and ExerciseRow to use relative paths in production - Add proxyTimeout for long-running workout generation endpoints - Add CSRF trusted origin for treytartt.com - Split docker-compose into production (Unraid) and dev configs - Show display_name and descriptions on workout type cards - Generator: rules engine improvements, movement enforcement, exercise selector updates - Add new test files for rules drift, workout research generation Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
122 lines
3.4 KiB
Python
122 lines
3.4 KiB
Python
from django.core.management import call_command
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from django.db import migrations
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WORKOUT_TYPE_CALIBRATION = {
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'functional_strength_training': {
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'typical_rest_between_sets': 60,
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'typical_intensity': 'medium',
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'rep_range_min': 8,
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'rep_range_max': 15,
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'round_range_min': 3,
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'round_range_max': 4,
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'duration_bias': 0.15,
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'superset_size_min': 2,
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'superset_size_max': 4,
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},
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'traditional_strength_training': {
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'typical_rest_between_sets': 120,
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'typical_intensity': 'high',
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'rep_range_min': 4,
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'rep_range_max': 8,
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'round_range_min': 3,
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'round_range_max': 5,
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'duration_bias': 0.1,
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'superset_size_min': 1,
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'superset_size_max': 3,
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},
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'high_intensity_interval_training': {
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'typical_rest_between_sets': 30,
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'typical_intensity': 'high',
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'rep_range_min': 10,
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'rep_range_max': 20,
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'round_range_min': 3,
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'round_range_max': 5,
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'duration_bias': 0.7,
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'superset_size_min': 3,
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'superset_size_max': 6,
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},
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'cross_training': {
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'typical_rest_between_sets': 45,
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'typical_intensity': 'high',
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'rep_range_min': 8,
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'rep_range_max': 15,
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'round_range_min': 3,
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'round_range_max': 5,
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'duration_bias': 0.4,
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'superset_size_min': 3,
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'superset_size_max': 5,
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},
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'core_training': {
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'typical_rest_between_sets': 30,
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'typical_intensity': 'medium',
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'rep_range_min': 10,
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'rep_range_max': 20,
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'round_range_min': 2,
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'round_range_max': 4,
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'duration_bias': 0.5,
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'superset_size_min': 3,
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'superset_size_max': 5,
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},
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'flexibility': {
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'typical_rest_between_sets': 15,
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'typical_intensity': 'low',
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'rep_range_min': 1,
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'rep_range_max': 5,
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'round_range_min': 1,
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'round_range_max': 2,
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'duration_bias': 0.9,
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'superset_size_min': 3,
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'superset_size_max': 6,
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},
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'cardio': {
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'typical_rest_between_sets': 30,
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'typical_intensity': 'medium',
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'rep_range_min': 1,
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'rep_range_max': 1,
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'round_range_min': 1,
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'round_range_max': 3,
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'duration_bias': 1.0,
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'superset_size_min': 1,
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'superset_size_max': 3,
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},
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'hypertrophy': {
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'typical_rest_between_sets': 90,
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'typical_intensity': 'high',
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'rep_range_min': 8,
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'rep_range_max': 15,
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'round_range_min': 3,
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'round_range_max': 4,
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'duration_bias': 0.2,
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'superset_size_min': 2,
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'superset_size_max': 4,
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},
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}
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def apply_calibration(apps, schema_editor):
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WorkoutType = apps.get_model('generator', 'WorkoutType')
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for type_name, fields in WORKOUT_TYPE_CALIBRATION.items():
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defaults = dict(fields)
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defaults.setdefault('display_name', type_name.replace('_', ' ').title())
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defaults.setdefault('description', '')
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WorkoutType.objects.update_or_create(name=type_name, defaults=defaults)
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call_command('calibrate_structure_rules')
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def noop_reverse(apps, schema_editor):
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pass
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class Migration(migrations.Migration):
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dependencies = [
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('generator', '0006_calibrate_workout_types_and_structure_rules'),
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]
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operations = [
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migrations.RunPython(apply_calibration, noop_reverse),
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]
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