Model/model_data/tests/test_floor_recommendations.py
2023-06-27 12:14:10 +01:00

69 lines
2.6 KiB
Python

import pickle
import pytest
import os
from unittest.mock import Mock
from model_data.recommendations.FloorRecommendations import FloorRecommendations
# with open(
# os.path.abspath(os.path.dirname(__file__)) + "/model_data/tests/test_data/input_properties.pkl", "rb"
# ) as f:
# input_properties = pickle.load(f)
#
# with open(
# os.path.abspath(os.path.dirname(__file__)) + "/model_data/tests/test_data/uvalue_estimates.pkl", "rb"
# ) as f:
# uvalue_estimates = pickle.load(f)
class TestWallRecommendations:
@pytest.fixture
def input_properties(self):
with open(
os.path.abspath(os.path.dirname(__file__)) + "/test_data/input_properties.pkl", "rb"
) as f:
return pickle.load(f)
@pytest.fixture
def uvalue_estimates(self):
with open(
os.path.abspath(os.path.dirname(__file__)) + "/test_data/uvalue_estimates.pkl", "rb"
) as f:
return pickle.load(f)
@pytest.fixture
def mock_floor_rec_instance(self):
# Creating a mock instance of WallRecommendations with the necessary attributes
property_mock = Mock()
property_mock.full_sap_epc = {"lodgement-date": "2000-01-01"} # or any date you want
property_mock.data = {"construction-age-band": "1950"} # or any other data that fits your tests
uvalue_estimates_mock = Mock()
mock_wall_rec_instance = FloorRecommendations(property_mock, uvalue_estimates_mock)
return mock_wall_rec_instance
def test_init(self, input_properties, uvalue_estimates):
obj = FloorRecommendations(property_instance=input_properties[0], uvalue_estimates=uvalue_estimates)
assert obj
assert obj.property
assert obj.uvalue_estimates
def test_other_premises_below(self, input_properties, uvalue_estimates):
recommender = FloorRecommendations(property_instance=input_properties[0], uvalue_estimates=uvalue_estimates)
recommender.recommend()
assert recommender.property.floor["another_property_below"]
assert not recommender.recommendations
def test_suspended_no_insulation(self, input_properties, uvalue_estimates):
"""
For a suspended floor without insulation, we use the rdsap methogology to estimate a U-value for the floor
:return:
"""
recommender = FloorRecommendations(property_instance=input_properties[2], uvalue_estimates=uvalue_estimates)
recommender.recommend()
assert recommender.property.floor["is_suspended"]
assert recommended.es
assert recommender.recommendations