Files
WerkoutAPI/generator/tests/test_weekly_split.py
Trey t 03681c532d Unraid deployment fixes and generator improvements
- 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>
2026-02-23 10:25:45 -06:00

252 lines
8.8 KiB
Python

"""
Tests for _pick_weekly_split() — Item #3: DB-backed WeeklySplitPattern selection.
"""
from collections import Counter
from django.contrib.auth import get_user_model
from django.test import TestCase
from unittest.mock import patch, MagicMock, PropertyMock
from generator.models import (
MuscleGroupSplit,
UserPreference,
WeeklySplitPattern,
WorkoutType,
)
from generator.services.workout_generator import WorkoutGenerator, DEFAULT_SPLITS
from registered_user.models import RegisteredUser
User = get_user_model()
class TestWeeklySplit(TestCase):
"""Tests for _pick_weekly_split() using DB-backed WeeklySplitPattern records."""
@classmethod
def setUpTestData(cls):
# Create Django auth user
cls.auth_user = User.objects.create_user(
username='testsplit', password='testpass123',
)
cls.registered_user = RegisteredUser.objects.create(
first_name='Test', last_name='Split', user=cls.auth_user,
)
# Create MuscleGroupSplits
cls.full_body = MuscleGroupSplit.objects.create(
muscle_names=['chest', 'back', 'shoulders', 'quads', 'hamstrings'],
label='Full Body',
split_type='full_body',
frequency=10,
)
cls.upper = MuscleGroupSplit.objects.create(
muscle_names=['chest', 'back', 'shoulders', 'biceps', 'triceps'],
label='Upper',
split_type='upper',
frequency=8,
)
cls.lower = MuscleGroupSplit.objects.create(
muscle_names=['quads', 'hamstrings', 'glutes', 'calves'],
label='Lower',
split_type='lower',
frequency=8,
)
# Create patterns for 3 days/week
cls.pattern_3day = WeeklySplitPattern.objects.create(
days_per_week=3,
pattern=[cls.full_body.pk, cls.upper.pk, cls.lower.pk],
pattern_labels=['Full Body', 'Upper', 'Lower'],
frequency=15,
rest_day_positions=[3, 5, 6],
)
cls.pattern_3day_low = WeeklySplitPattern.objects.create(
days_per_week=3,
pattern=[cls.upper.pk, cls.lower.pk, cls.full_body.pk],
pattern_labels=['Upper', 'Lower', 'Full Body'],
frequency=2,
)
def _make_preference(self, days_per_week=3):
"""Create a UserPreference for testing."""
pref = UserPreference.objects.create(
registered_user=self.registered_user,
days_per_week=days_per_week,
fitness_level=2,
primary_goal='general_fitness',
)
return pref
def _make_generator(self, pref):
"""Create a WorkoutGenerator with mocked ExerciseSelector and PlanBuilder."""
with patch('generator.services.workout_generator.ExerciseSelector'), \
patch('generator.services.workout_generator.PlanBuilder'):
gen = WorkoutGenerator(pref)
return gen
def test_uses_db_patterns_when_available(self):
"""When WeeklySplitPattern records exist for the days_per_week,
_pick_weekly_split should return splits derived from them."""
pref = self._make_preference(days_per_week=3)
gen = self._make_generator(pref)
splits, rest_days = gen._pick_weekly_split()
# Should have 3 splits (from the 3-day patterns)
self.assertEqual(len(splits), 3)
# Each split should have label, muscles, split_type
for s in splits:
self.assertIn('label', s)
self.assertIn('muscles', s)
self.assertIn('split_type', s)
# Split types should come from our MuscleGroupSplit records
split_types = {s['split_type'] for s in splits}
self.assertTrue(
split_types.issubset({'full_body', 'upper', 'lower'}),
f"Unexpected split types: {split_types}",
)
# Clean up
pref.delete()
def test_falls_back_to_defaults(self):
"""When no WeeklySplitPattern exists for the requested days_per_week,
DEFAULT_SPLITS should be used."""
pref = self._make_preference(days_per_week=5)
gen = self._make_generator(pref)
splits, rest_days = gen._pick_weekly_split()
# Should have 5 splits from DEFAULT_SPLITS[5]
self.assertEqual(len(splits), len(DEFAULT_SPLITS[5]))
# rest_days should be empty for default fallback
self.assertEqual(rest_days, [])
pref.delete()
def test_frequency_weighting(self):
"""Higher-frequency patterns should be chosen more often."""
pref = self._make_preference(days_per_week=3)
gen = self._make_generator(pref)
first_pattern_count = 0
runs = 200
for _ in range(runs):
splits, _ = gen._pick_weekly_split()
# The high-frequency pattern starts with Full Body
if splits[0]['label'] == 'Full Body':
first_pattern_count += 1
# pattern_3day has frequency=15, pattern_3day_low has frequency=2
# Expected ratio: ~15/17 = ~88%
# With 200 runs, high-freq pattern should be chosen at least 60% of the time
ratio = first_pattern_count / runs
self.assertGreater(
ratio, 0.6,
f"High-frequency pattern chosen only {ratio:.0%} of the time "
f"(expected > 60%)",
)
pref.delete()
def test_rest_day_positions_propagated(self):
"""rest_day_positions from the chosen pattern should be returned."""
pref = self._make_preference(days_per_week=3)
gen = self._make_generator(pref)
# Run multiple times to ensure we eventually get the high-freq pattern
found_rest_days = False
for _ in range(50):
splits, rest_days = gen._pick_weekly_split()
if rest_days:
found_rest_days = True
# The high-freq pattern has rest_day_positions=[3, 5, 6]
self.assertEqual(rest_days, [3, 5, 6])
break
self.assertTrue(
found_rest_days,
"Expected rest_day_positions to be propagated from at least one run",
)
pref.delete()
def test_clamps_days_per_week(self):
"""days_per_week should be clamped to 1-7."""
pref = self._make_preference(days_per_week=10)
gen = self._make_generator(pref)
splits, _ = gen._pick_weekly_split()
# clamped to 7, which uses DEFAULT_SPLITS[7] (no DB patterns for 7)
self.assertEqual(len(splits), len(DEFAULT_SPLITS[7]))
pref.delete()
def test_handles_missing_muscle_group_split(self):
"""If a split_id in the pattern references a deleted MuscleGroupSplit,
it should be gracefully skipped."""
# Create a pattern with one bogus ID
bad_pattern = WeeklySplitPattern.objects.create(
days_per_week=2,
pattern=[self.full_body.pk, 99999], # 99999 doesn't exist
pattern_labels=['Full Body', 'Missing'],
frequency=10,
)
pref = self._make_preference(days_per_week=2)
gen = self._make_generator(pref)
splits, _ = gen._pick_weekly_split()
# Should get 1 split (the valid one) since the bad ID is skipped
# But since we have 1 valid split, splits should be non-empty
self.assertGreaterEqual(len(splits), 1)
self.assertEqual(splits[0]['label'], 'Full Body')
bad_pattern.delete()
pref.delete()
@patch('generator.services.workout_generator.random.random', return_value=0.0)
def test_diversifies_repetitive_four_day_pattern(self, _mock_random):
"""
A 4-day DB pattern with 3 lower-body days should be diversified so
split_type repetition does not dominate the week.
"""
lower_a = MuscleGroupSplit.objects.create(
muscle_names=['glutes', 'hamstrings', 'core'],
label='Lower A',
split_type='lower',
frequency=9,
)
lower_b = MuscleGroupSplit.objects.create(
muscle_names=['quads', 'glutes', 'calves'],
label='Lower B',
split_type='lower',
frequency=9,
)
WeeklySplitPattern.objects.create(
days_per_week=4,
pattern=[self.lower.pk, lower_a.pk, lower_b.pk, self.full_body.pk],
pattern_labels=['Lower', 'Lower A', 'Lower B', 'Full Body'],
frequency=50,
)
pref = self._make_preference(days_per_week=4)
gen = self._make_generator(pref)
splits, _ = gen._pick_weekly_split()
self.assertEqual(len(splits), 4)
split_type_counts = Counter(s['split_type'] for s in splits)
self.assertLessEqual(
split_type_counts.get('lower', 0), 2,
f"Expected diversification to avoid 3+ lower days, got: {split_type_counts}",
)
pref.delete()