Files
thechart/tests/conftest.py
William Valentin c755f0affc Add comprehensive tests for dose tracking functionality
- Implemented `test_dose_parsing_simple.py` to validate the dose parsing workflow.
- Created `test_dose_save.py` to verify the saving functionality of dose tracking.
- Added `test_dose_save_simple.py` for programmatic testing of dose saving without UI interaction.
- Developed `test_final_workflow.py` to test the complete dose tracking workflow, ensuring doses are preserved during edits.
- Enhanced `conftest.py` with a mock pathology manager for testing.
- Updated `test_data_manager.py` to include pathology manager in DataManager tests and ensure compatibility with new features.
2025-07-31 09:50:45 -07:00

197 lines
6.6 KiB
Python

"""
Fixtures and configuration for pytest tests.
"""
import os
import tempfile
import pytest
import pandas as pd
from unittest.mock import Mock
import logging
# Add src to path for imports
import sys
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
from src.medicine_manager import MedicineManager, Medicine
@pytest.fixture
def temp_csv_file():
"""Create a temporary CSV file for testing."""
fd, path = tempfile.mkstemp(suffix='.csv')
os.close(fd)
yield path
# Cleanup
if os.path.exists(path):
os.unlink(path)
@pytest.fixture
def mock_medicine_manager():
"""Create a mock medicine manager with default medicines for testing."""
mock_manager = Mock(spec=MedicineManager)
# Default medicines matching the original system
default_medicines = {
"bupropion": Medicine(
key="bupropion",
display_name="Bupropion",
dosage_info="150/300 mg",
quick_doses=["150", "300"],
color="#FF6B6B",
default_enabled=True
),
"hydroxyzine": Medicine(
key="hydroxyzine",
display_name="Hydroxyzine",
dosage_info="25 mg",
quick_doses=["25", "50"],
color="#4ECDC4",
default_enabled=False
),
"gabapentin": Medicine(
key="gabapentin",
display_name="Gabapentin",
dosage_info="100 mg",
quick_doses=["100", "300", "600"],
color="#45B7D1",
default_enabled=False
),
"propranolol": Medicine(
key="propranolol",
display_name="Propranolol",
dosage_info="10 mg",
quick_doses=["10", "20", "40"],
color="#96CEB4",
default_enabled=True
),
"quetiapine": Medicine(
key="quetiapine",
display_name="Quetiapine",
dosage_info="25 mg",
quick_doses=["25", "50", "100"],
color="#FFEAA7",
default_enabled=False
)
}
mock_manager.get_medicine_keys.return_value = list(default_medicines.keys())
mock_manager.get_all_medicines.return_value = default_medicines
mock_manager.get_medicine.side_effect = lambda key: default_medicines.get(key)
mock_manager.get_graph_colors.return_value = {k: v.color for k, v in default_medicines.items()}
mock_manager.get_quick_doses.side_effect = lambda key: default_medicines.get(key, Medicine("", "", "", [], "", False)).quick_doses
return mock_manager
@pytest.fixture
def mock_pathology_manager():
"""Create a mock pathology manager with default pathologies for testing."""
mock_manager = Mock()
# Default pathologies matching the original system
mock_manager.get_pathology_keys.return_value = ["depression", "anxiety", "sleep", "appetite"]
return mock_manager
@pytest.fixture
def sample_data():
"""Sample data for testing."""
return [
["2024-01-01", 3, 2, 4, 3, 1, "", 0, "", 2, "", 1, "", 0, "", "Test note 1"],
["2024-01-02", 2, 3, 3, 4, 1, "", 1, "", 2, "", 0, "", 1, "", "Test note 2"],
["2024-01-03", 4, 1, 5, 2, 0, "", 0, "", 1, "", 1, "", 0, "", ""],
]
@pytest.fixture
def sample_dataframe():
"""Sample DataFrame for testing."""
return pd.DataFrame({
'date': ['2024-01-01', '2024-01-02', '2024-01-03'],
'depression': [3, 2, 4],
'anxiety': [2, 3, 1],
'sleep': [4, 3, 5],
'appetite': [3, 4, 2],
'bupropion': [1, 1, 0],
'bupropion_doses': ['2024-01-01 08:00:00:150mg', '2024-01-02 08:00:00:300mg', ''],
'hydroxyzine': [0, 1, 0],
'hydroxyzine_doses': ['', '2024-01-02 20:00:00:25mg', ''],
'gabapentin': [2, 2, 1],
'gabapentin_doses': ['2024-01-01 12:00:00:100mg|2024-01-01 20:00:00:100mg',
'2024-01-02 12:00:00:100mg|2024-01-02 20:00:00:100mg',
'2024-01-03 12:00:00:100mg'],
'propranolol': [1, 0, 1],
'propranolol_doses': ['2024-01-01 12:00:00:10mg', '', '2024-01-03 12:00:00:20mg'],
'quetiapine': [0, 1, 0],
'quetiapine_doses': ['', '2024-01-02 22:00:00:50mg', ''],
'note': ['Test note 1', 'Test note 2', '']
})
@pytest.fixture
def mock_logger():
"""Mock logger for testing."""
return Mock(spec=logging.Logger)
@pytest.fixture
def temp_log_dir():
"""Create a temporary directory for log files."""
with tempfile.TemporaryDirectory() as temp_dir:
yield temp_dir
@pytest.fixture
def mock_env_vars(monkeypatch):
"""Mock environment variables."""
monkeypatch.setenv("LOG_LEVEL", "DEBUG")
monkeypatch.setenv("LOG_PATH", "/tmp/test_logs")
monkeypatch.setenv("LOG_CLEAR", "False")
@pytest.fixture
def sample_dose_data():
"""Sample dose data for testing dose calculation."""
return {
'standard_format': '2025-07-28 18:59:45:150mg|2025-07-28 19:34:19:75mg', # Should sum to 225
'with_bullets': '• • • • 2025-07-30 07:50:00:300', # Should be 300
'decimal_doses': '2025-07-28 18:59:45:12.5mg|2025-07-28 19:34:19:7.5mg', # Should sum to 20
'no_timestamp': '100mg|50mg', # Should sum to 150
'mixed_format': '• 2025-07-30 22:50:00:10|75mg', # Should sum to 85
'empty_string': '', # Should be 0
'nan_value': 'nan', # Should be 0
'no_units': '2025-07-28 18:59:45:10|2025-07-28 19:34:19:5', # Should sum to 15
}
@pytest.fixture
def legend_test_dataframe():
"""DataFrame specifically designed for testing legend functionality."""
return pd.DataFrame({
'date': ['2024-01-01', '2024-01-02', '2024-01-03'],
'depression': [3, 2, 4],
'anxiety': [2, 3, 1],
'sleep': [4, 3, 5],
'appetite': [3, 4, 2],
# Medicine with consistent doses for average testing
'bupropion': [1, 1, 1],
'bupropion_doses': ['2024-01-01 08:00:00:100mg',
'2024-01-02 08:00:00:200mg',
'2024-01-03 08:00:00:150mg'], # Average: 150mg
# Medicine with varying doses
'propranolol': [1, 1, 0],
'propranolol_doses': ['2024-01-01 12:00:00:10mg',
'2024-01-02 12:00:00:20mg',
''], # Average: 15mg (10+20)/2
# Medicines without dose data
'hydroxyzine': [0, 0, 0],
'hydroxyzine_doses': ['', '', ''],
'gabapentin': [0, 0, 0],
'gabapentin_doses': ['', '', ''],
'quetiapine': [0, 0, 0],
'quetiapine_doses': ['', '', ''],
'note': ['Test note 1', 'Test note 2', 'Test note 3']
})