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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,41 +1,35 @@ | ||
| """Tests for intram_by_civil_defence.py.""" | ||
| # Standard Library Imports | ||
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| #Local Standard Library Imports | ||
| import pytest | ||
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| #Third Party Imports | ||
| # Local Standard Library Imports | ||
| import pandas as pd | ||
| import numpy as np | ||
| import pytest | ||
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| # Local Imports | ||
| from src.outputs.intram_by_civil_defence import (output_intram_by_civil_defence) | ||
| from src.outputs.intram_by_civil_defence import (generate_intram_by_civil_defence) | ||
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| class TestIntramByCivilDefence(object): | ||
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| """Test for Civil and Defence Output.""" | ||
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| @pytest.fixture(scope="function") | ||
| def input_data(self): | ||
| """Input dataframes for civil_defence output""" | ||
| columns= ["reference", "period", "200", "211"] | ||
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| data = [1, 2020, "C", 1000, | ||
| 2, 2020, "D", 2000, | ||
| 3, 2020, "C", nan, | ||
| 4, 2020, "D", 500, | ||
| 5, 2020, "C", 3020, | ||
| 6, 2020, "D", 40, | ||
| 7 2020, "D", 6000, | ||
| 8, 2020, "C", 700, | ||
| 9, 2020, "D", 8180, | ||
| 10, 2020, "C", 960] | ||
| df=pd.DataFrame(data=data, columns=columns) | ||
| return | ||
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| """Create input dataframe""" | ||
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| data = {"200": ["C", "D", "C", "D", "C", "D", "D", "C", "D", "C"], | ||
| "211": [1000, 2000, 0, 500, 3020, 40, 6000, 700, 8180, 960], } | ||
| input_df = pd.DataFrame(data) | ||
| return input_df | ||
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| @pytest.fixture(scope="function") | ||
| def exp_out(self: | ||
| """Expected output for civil_defence output""" | ||
| columns = ["200", "211"] | ||
| data = [["Civil", 4720], ["Defence", 10720]] | ||
| df = pd.DataFrame(data=data, columns=columns) | ||
| return df | ||
| def exp_out(self): | ||
| """Create expected output dataframe""" | ||
| columns = ["Catergory", "Total Intramural Expenditure"] | ||
| data = [["Civil", 5680], ["Defence", 16720]] | ||
| expected_df = pd.DataFrame(data=data, columns=columns) | ||
| return expected_df | ||
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| def test_generate_intram_by_civil_defence(self, input_data, exp_out): | ||
| """Test generate_intram_by_civil_defence function. | ||
| The test checks if Civil and Defense are catergorised and summed correctly.""" | ||
| output_df = generate_intram_by_civil_defence(input_data) | ||
| assert output_df.equals(exp_out) |
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