new model data pickle

This commit is contained in:
Khalim Conn-Kowlessar 2023-06-27 11:30:51 +01:00
parent a62ddf4ddc
commit 4dfa32ca1f
4 changed files with 51 additions and 1 deletions

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@ -1,3 +1,4 @@
import pickle
import pandas as pd
import numpy as np
from model_data.EpcClean import EpcClean
@ -195,3 +196,12 @@ class UvalueEstimations:
# Classify new values based on decile definitions
classifications = pd.cut(new_values, bins=decile_boundaries, labels=decile_labels, include_lowest=True)
return classifications.tolist()
def _save(self, filename):
"""
Useful utility function to store this object, which is particularly handy for unit testing
:return:
"""
with open(filename, 'wb') as f:
pickle.dump(self, f)

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@ -0,0 +1,40 @@
import pickle
import pytest
import os
from unittest.mock import Mock
from model_data.recommendations.FloorRecommendations import FloorRecommendations
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

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@ -23,7 +23,7 @@ class TestWallRecommendations:
@pytest.fixture
def uvalue_estimates(self):
with open(
os.path.abspath(os.path.dirname(__file__)) + "/test_data/uvalue_estimates_walls.pkl", "rb"
os.path.abspath(os.path.dirname(__file__)) + "/test_data/uvalue_estimates.pkl", "rb"
) as f:
return pickle.load(f)