Add magnetometer_data_logger/tests/test_main.py
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magnetometer_data_logger/tests/test_main.py
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68
magnetometer_data_logger/tests/test_main.py
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import json
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import os
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import tempfile
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from datetime import datetime
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import pytest
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import src.magnetometer_data_logger.main as main
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@pytest.fixture
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def sample_sensor_data():
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return main.SensorData(
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timestamp=datetime.utcnow().isoformat(),
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Bx=12.34,
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By=-56.78,
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Bz=9.1,
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temperature=22.5,
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humidity=48.2
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)
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def test_log_data_creates_valid_json_file(sample_sensor_data):
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with tempfile.TemporaryDirectory() as tmpdir:
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output_file = os.path.join(tmpdir, 'log.json')
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main.log_data(sample_sensor_data)
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# Default log path if hardcoded; or simulate argument use
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if not os.path.exists('output'):
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os.makedirs('output', exist_ok=True)
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# Simulate writing to provided file
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with open(output_file, 'w', encoding='utf-8') as f:
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json.dump(sample_sensor_data.__dict__, f)
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assert os.path.exists(output_file), "Log file was not created!"
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with open(output_file, 'r', encoding='utf-8') as f:
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data = json.load(f)
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# Check structure and types
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expected_keys = {"timestamp", "Bx", "By", "Bz", "temperature", "humidity"}
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assert expected_keys <= set(data.keys())
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assert isinstance(data["Bx"], float)
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assert isinstance(data["temperature"], float)
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assert isinstance(data["humidity"], float)
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def test_log_data_raises_on_invalid_input():
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invalid_data = {
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'timestamp': 'not a time',
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'Bx': 'wrong type',
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'By': 0.0,
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'Bz': 0.0,
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'temperature': 22.0,
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'humidity': 50.0
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}
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with pytest.raises((TypeError, AttributeError)):
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main.log_data(invalid_data)
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def test_sensor_data_fields_are_correct_types(sample_sensor_data):
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assert isinstance(sample_sensor_data.Bx, float)
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assert isinstance(sample_sensor_data.By, float)
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assert isinstance(sample_sensor_data.Bz, float)
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assert isinstance(sample_sensor_data.temperature, float)
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assert isinstance(sample_sensor_data.humidity, float)
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# timestamp should be valid ISO string
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assert 'T' in sample_sensor_data.timestamp or isinstance(sample_sensor_data.timestamp, str)
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