import pytest
from unittest.mock import Mock
from backend.Property import Property
from recommendations.LightingRecommendations import LightingRecommendations

from recommendations.tests.test_data.materials import materials


class TestLightingRecommendations:

    def test_init_invalid_materials(self):
        input_property0 = Property(id=1, postcode="F4k3 6", address1="623 fake street", epc_client=Mock())
        input_property0.lighting = {"low_energy_proportion": 0}
        input_property0.data = {"county": "Greater London Authority"}
        # Test for invalid materials
        with pytest.raises(ValueError):
            LightingRecommendations(input_property0, [])

    def test_recommend_no_action_needed(self):
        # Case where no recommendation is needed
        input_property1 = Property(id=1, postcode="F4k3 6", address1="623 fake street", epc_client=Mock())
        input_property1.lighting = {"low_energy_proportion": 100}
        input_property1.data = {"county": "Greater London Authority"}

        lr = LightingRecommendations(input_property1, materials)
        lr.recommend()
        assert lr.recommendation == []

    def test_recommend_action_needed(self):
        # Case where recommendation is needed
        input_property1 = Property(id=1, postcode="F4k3 6", address1="623 fake street", epc_client=Mock())
        input_property1.lighting = {"low_energy_proportion": 100}
        input_property1.data = {"county": "Greater London Authority"}
        input_property1.lighting = {"low_energy_proportion": 0.80}
        input_property1.number_lighting_outlets = 20

        lr = LightingRecommendations(input_property1, materials)
        lr.recommend()
        assert len(lr.recommendation) == 1

        assert lr.recommendation == [
            {'parts': [], 'type': 'low_energy_lighting', 'description': 'Install low energy lighting in 4 outlets',
             'starting_u_value': None, 'new_u_value': None, 'sap_points': 0.4, 'total': 240.24,
             'subtotal': 200.20000000000002, 'vat': 40.040000000000006, 'contingency': 14.3, 'preliminaries': 14.3,
             'material': 80.0, 'profit': 28.6, 'labour_hours': 3.2, 'labour_days': 0.4, 'labour_cost': 63.0}
        ]