devicehub-django/environmental_impact/tests/test_dummy_calculator.py

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from unittest.mock import patch
import uuid
from django.test import TestCase
from device.models import Device
from environmental_impact.models import EnvironmentalImpact
from environmental_impact.algorithms.dummy_calculator import DummyEnvironmentalImpactAlgorithm
from evidence.models import Evidence
class DummyEnvironmentalImpactAlgorithmTests(TestCase):
@patch('evidence.models.Evidence.get_doc', return_value={'credentialSubject': {}})
@patch('evidence.models.Evidence.get_time', return_value=None)
def setUp(self, mock_get_time, mock_get_doc):
self.device = Device(id='1')
evidence = self.device.last_evidence = Evidence(uuid=uuid.uuid4())
evidence.inxi = True
evidence.doc = {'credentialSubject': {}}
self.algorithm = DummyEnvironmentalImpactAlgorithm()
def test_get_power_on_hours_from_legacy_device(self):
# TODO is there a way to check that?
pass
@patch('evidence.models.Evidence.get_components', return_value=[0, 0, 0, 0, 0, 0, 0, 0, 0, {'time of used': '1y 2d 3h'}])
def test_get_power_on_hours_from_inxi_device(self, mock_get_components):
hours = self.algorithm.get_power_on_hours_from(self.device)
self.assertEqual(
hours, 8811, "Inxi-parsed devices should correctly compute power-on hours")
@patch('evidence.models.Evidence.get_components', return_value=[0, 0, 0, 0, 0, 0, 0, 0, 0, {'time of used': '1y 2d 3h'}])
def test_convert_str_time_to_hours(self, mock_get_components):
result = self.algorithm.convert_str_time_to_hours('1y 2d 3h', False)
self.assertEqual(
result, 8811, "String to hours conversion should match expected output")
@patch('evidence.models.Evidence.get_components', return_value=[0, 0, 0, 0, 0, 0, 0, 0, 0, {'time of used': '1y 2d 3h'}])
def test_environmental_impact_calculation(self, mock_get_components):
impact = self.algorithm.get_device_environmental_impact(self.device)
self.assertIsInstance(impact, EnvironmentalImpact,
"Output should be an EnvironmentalImpact instance")
expected_co2 = 8811 * 40 * 0.475 / 1000
self.assertAlmostEqual(impact.co2_emissions, expected_co2,
2, "CO2 emissions calculation should be accurate")