107 lines
6.6 KiB
Python
107 lines
6.6 KiB
Python
import unittest
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import pandas as pd
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from pandas.testing import assert_frame_equal
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from TestHelper import TestHelper
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from SevereColumnAdder import SevereColumnAdder
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from BatchCodeTableFactory import BatchCodeTableFactory
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class BatchCodeTableFactoryTest(unittest.TestCase):
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def test_createBatchCodeTableByCountry(self):
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# Given
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dataFrame = TestHelper.createDataFrame(
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columns = ['DIED', 'L_THREAT', 'DISABLE', 'VAX_TYPE', 'VAX_MANU', 'VAX_LOT', 'VAX_DOSE_SERIES', 'SPLTTYPE', 'HOSPITAL', 'ER_VISIT', 'COUNTRY'],
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data = [ [1, 0, 0, 'COVID19', 'PFIZER\BIONTECH', '016M20A', '2', 'GBPFIZER INC2020486806', 0, 0, 'United Kingdom'],
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[0, 0, 0, 'COVID19', 'MODERNA', '030L20A', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],
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[1, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],
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[0, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France']],
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index = [
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"1048786",
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"1048786",
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"4711",
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"0815"])
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dataFrame = SevereColumnAdder.addSevereColumn(dataFrame)
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batchCodeTableFactory = BatchCodeTableFactory(dataFrame)
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# When
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batchCodeTable = batchCodeTableFactory.createBatchCodeTableByCountry('France')
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# Then
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assert_frame_equal(
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batchCodeTable,
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TestHelper.createDataFrame(
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columns = ['Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Company', 'Countries', 'Severe reports', 'Lethality'],
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data = [ [2, 1, 2, 2, 'MODERNA', 'France', 2/2 * 100, 1/2 * 100],
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[1, 0, 0, 0, 'MODERNA', 'France', 0/1 * 100, 0/1 * 100]],
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index = pd.Index(
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[
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'030L20B',
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'030L20A'
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],
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name = 'VAX_LOT')),
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check_dtype = False)
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def test_createGlobalBatchCodeTable(self):
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# Given
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dataFrame = TestHelper.createDataFrame(
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columns = ['DIED', 'L_THREAT', 'DISABLE', 'VAX_TYPE', 'VAX_MANU', 'VAX_LOT', 'VAX_DOSE_SERIES', 'SPLTTYPE', 'HOSPITAL', 'ER_VISIT', 'COUNTRY'],
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data = [ [1, 0, 0, 'COVID19', 'PFIZER\BIONTECH', '016M20A', '2', 'GBPFIZER INC2020486806', 0, 0, 'United Kingdom'],
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[0, 0, 0, 'COVID19', 'MODERNA', '030L20A', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],
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[1, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],
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[0, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'United Kingdom']],
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index = [
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"1048786",
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"1048786",
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"4711",
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"0815"])
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dataFrame = SevereColumnAdder.addSevereColumn(dataFrame)
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batchCodeTableFactory = BatchCodeTableFactory(dataFrame)
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# When
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batchCodeTable = batchCodeTableFactory.createGlobalBatchCodeTable()
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# Then
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assert_frame_equal(
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batchCodeTable,
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TestHelper.createDataFrame(
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columns = ['Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Company', 'Countries', 'Severe reports', 'Lethality'],
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data = [ [1, 1, 0, 0, 'PFIZER\BIONTECH', 'United Kingdom', 1/1 * 100, 1/1 * 100],
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[2, 1, 2, 2, 'MODERNA', 'France, United Kingdom', 2/2 * 100, 1/2 * 100],
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[1, 0, 0, 0, 'MODERNA', 'France', 0/1 * 100, 0/1 * 100]],
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index = pd.Index(
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[
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'016M20A',
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'030L20B',
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'030L20A'
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],
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name = 'VAX_LOT')),
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check_dtype = False)
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def test_createBatchCodeTableByNonExistingCountry(self):
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# Given
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dataFrame = TestHelper.createDataFrame(
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columns = ['DIED', 'L_THREAT', 'DISABLE', 'VAX_TYPE', 'VAX_MANU', 'VAX_LOT', 'VAX_DOSE_SERIES', 'SPLTTYPE', 'HOSPITAL', 'ER_VISIT', 'COUNTRY'],
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data = [ [1, 0, 0, 'COVID19', 'PFIZER\BIONTECH', '016M20A', '2', 'GBPFIZER INC2020486806', 0, 0, 'United Kingdom'],
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[0, 0, 0, 'COVID19', 'MODERNA', '030L20A', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],
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[1, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],
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[0, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France']],
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index = [
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"1048786",
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"1048786",
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"4711",
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"0815"])
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dataFrame = SevereColumnAdder.addSevereColumn(dataFrame)
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batchCodeTableFactory = BatchCodeTableFactory(dataFrame)
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# When
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batchCodeTable = batchCodeTableFactory.createBatchCodeTableByCountry('non existing country')
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# Then
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assert_frame_equal(
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batchCodeTable,
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TestHelper.createDataFrame(
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columns = ['Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Company', 'Countries', 'Severe reports', 'Lethality'],
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data = [ ],
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index = pd.Index([], name = 'VAX_LOT')),
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check_dtype = False)
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