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refactoring

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frankknoll
2023-03-30 16:45:05 +02:00
parent 9914ac95ef
commit 49a17b3351
1 changed files with 79 additions and 133 deletions
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212
src/BatchCodeTableFactoryTest.py
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@@ -7,145 +7,17 @@ from BatchCodeTableFactory import BatchCodeTableFactory
class BatchCodeTableFactoryTest(unittest.TestCase): class BatchCodeTableFactoryTest(unittest.TestCase):
def test_createBatchCodeTableByCountry(self): def test_createBatchCodeTableByCountry_countriesAsStr(self):
# Given self._createBatchCodeTableByCountry(countriesAsList = False)
dataFrame = TestHelper.createDataFrame(
columns = ['DIED', 'L_THREAT', 'DISABLE', 'VAX_TYPE', 'VAX_MANU', 'VAX_LOT', 'VAX_DOSE_SERIES', 'SPLTTYPE', 'HOSPITAL', 'ER_VISIT', 'COUNTRY'],
data = [ [1, 0, 0, 'COVID19', 'PFIZER\BIONTECH', '016M20A', '2', 'GBPFIZER INC2020486806', 0, 0, 'United Kingdom'],
[0, 0, 0, 'COVID19', 'MODERNA', '030L20A', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],
[1, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],
[0, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France']],
index = [
"1048786",
"1048786",
"4711",
"0815"])
dataFrame = SevereColumnAdder.addSevereColumn(dataFrame)
batchCodeTableFactory = BatchCodeTableFactory(dataFrame)
# When
batchCodeTable = batchCodeTableFactory.createBatchCodeTableByCountry('France')
# Then
assert_frame_equal(
batchCodeTable[['Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Company', 'Countries', 'Severe reports', 'Lethality']],
TestHelper.createDataFrame(
columns = ['Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Company', 'Countries', 'Severe reports', 'Lethality'],
data = [ [2, 1, 2, 2, 'MODERNA', 'France', 2/2 * 100, 1/2 * 100],
[1, 0, 0, 0, 'MODERNA', 'France', 0/1 * 100, 0/1 * 100]],
index = pd.Index(
[
'030L20B',
'030L20A'
],
name = 'VAX_LOT')),
check_dtype = True)
def test_createBatchCodeTableByCountry_countriesAsList(self): def test_createBatchCodeTableByCountry_countriesAsList(self):
# Given self._createBatchCodeTableByCountry(countriesAsList = True)
dataFrame = TestHelper.createDataFrame(
columns = ['DIED', 'L_THREAT', 'DISABLE', 'VAX_TYPE', 'VAX_MANU', 'VAX_LOT', 'VAX_DOSE_SERIES', 'SPLTTYPE', 'HOSPITAL', 'ER_VISIT', 'COUNTRY'],
data = [ [1, 0, 0, 'COVID19', 'PFIZER\BIONTECH', '016M20A', '2', 'GBPFIZER INC2020486806', 0, 0, 'United Kingdom'],
[0, 0, 0, 'COVID19', 'MODERNA', '030L20A', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],
[1, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],
[0, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France']],
index = [
"1048786",
"1048786",
"4711",
"0815"])
dataFrame = SevereColumnAdder.addSevereColumn(dataFrame)
batchCodeTableFactory = BatchCodeTableFactory(dataFrame)
# When
batchCodeTable = batchCodeTableFactory.createBatchCodeTableByCountry('France', countriesAsList = True)
# Then
assert_frame_equal(
batchCodeTable[['Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Company', 'Countries', 'Severe reports', 'Lethality']],
TestHelper.createDataFrame(
columns = ['Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Company', 'Countries', 'Severe reports', 'Lethality'],
data = [ [2, 1, 2, 2, 'MODERNA', ['France'], 2/2 * 100, 1/2 * 100],
[1, 0, 0, 0, 'MODERNA', ['France'], 0/1 * 100, 0/1 * 100]],
index = pd.Index(
[
'030L20B',
'030L20A'
],
name = 'VAX_LOT')),
check_dtype = True)
def test_createGlobalBatchCodeTable(self): def test_createGlobalBatchCodeTable(self):
# Given self._createGlobalBatchCodeTable(countriesAsList = False)
dataFrame = TestHelper.createDataFrame(
columns = ['DIED', 'L_THREAT', 'DISABLE', 'VAX_TYPE', 'VAX_MANU', 'VAX_LOT', 'VAX_DOSE_SERIES', 'SPLTTYPE', 'HOSPITAL', 'ER_VISIT', 'COUNTRY'],
data = [ [1, 0, 0, 'COVID19', 'PFIZER\BIONTECH', '016M20A', '2', 'GBPFIZER INC2020486806', 0, 0, 'United Kingdom'],
[0, 0, 0, 'COVID19', 'MODERNA', '030L20A', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],
[1, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],
[0, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'United Kingdom']],
index = [
"1048786",
"1048786",
"4711",
"0815"])
dataFrame = SevereColumnAdder.addSevereColumn(dataFrame)
batchCodeTableFactory = BatchCodeTableFactory(dataFrame)
# When
batchCodeTable = batchCodeTableFactory.createGlobalBatchCodeTable()
# Then
assert_frame_equal(
batchCodeTable[['Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Company', 'Countries', 'Severe reports', 'Lethality']],
TestHelper.createDataFrame(
columns = ['Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Company', 'Countries', 'Severe reports', 'Lethality'],
data = [ [1, 1, 0, 0, 'PFIZER\BIONTECH', 'United Kingdom', 1/1 * 100, 1/1 * 100],
[2, 1, 2, 2, 'MODERNA', 'France, United Kingdom', 2/2 * 100, 1/2 * 100],
[1, 0, 0, 0, 'MODERNA', 'France', 0/1 * 100, 0/1 * 100]],
index = pd.Index(
[
'016M20A',
'030L20B',
'030L20A'
],
name = 'VAX_LOT')),
check_dtype = True)
def test_createGlobalBatchCodeTable_countriesAsList(self): def test_createGlobalBatchCodeTable_countriesAsList(self):
# Given self._createGlobalBatchCodeTable(countriesAsList = True)
dataFrame = TestHelper.createDataFrame(
columns = ['DIED', 'L_THREAT', 'DISABLE', 'VAX_TYPE', 'VAX_MANU', 'VAX_LOT', 'VAX_DOSE_SERIES', 'SPLTTYPE', 'HOSPITAL', 'ER_VISIT', 'COUNTRY'],
data = [ [1, 0, 0, 'COVID19', 'PFIZER\BIONTECH', '016M20A', '2', 'GBPFIZER INC2020486806', 0, 0, 'United Kingdom'],
[0, 0, 0, 'COVID19', 'MODERNA', '030L20A', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],
[1, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],
[0, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'United Kingdom']],
index = [
"1048786",
"1048786",
"4711",
"0815"])
dataFrame = SevereColumnAdder.addSevereColumn(dataFrame)
batchCodeTableFactory = BatchCodeTableFactory(dataFrame)
# When
batchCodeTable = batchCodeTableFactory.createGlobalBatchCodeTable(countriesAsList = True)
# Then
assert_frame_equal(
batchCodeTable[['Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Company', 'Countries', 'Severe reports', 'Lethality']],
TestHelper.createDataFrame(
columns = ['Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Company', 'Countries', 'Severe reports', 'Lethality'],
data = [ [1, 1, 0, 0, 'PFIZER\BIONTECH', ['United Kingdom'], 1/1 * 100, 1/1 * 100],
[2, 1, 2, 2, 'MODERNA', ['France', 'United Kingdom'], 2/2 * 100, 1/2 * 100],
[1, 0, 0, 0, 'MODERNA', ['France'], 0/1 * 100, 0/1 * 100]],
index = pd.Index(
[
'016M20A',
'030L20B',
'030L20A'
],
name = 'VAX_LOT')),
check_dtype = True)
def test_createBatchCodeTableByNonExistingCountry(self): def test_createBatchCodeTableByNonExistingCountry(self):
# Given # Given
@@ -174,3 +46,77 @@ class BatchCodeTableFactoryTest(unittest.TestCase):
data = [ ], data = [ ],
index = pd.Index([], name = 'VAX_LOT')), index = pd.Index([], name = 'VAX_LOT')),
check_dtype = False) check_dtype = False)
def _createBatchCodeTableByCountry(self, countriesAsList):
# Given
dataFrame = TestHelper.createDataFrame(
columns = ['DIED', 'L_THREAT', 'DISABLE', 'VAX_TYPE', 'VAX_MANU', 'VAX_LOT', 'VAX_DOSE_SERIES', 'SPLTTYPE', 'HOSPITAL', 'ER_VISIT', 'COUNTRY'],
data = [ [1, 0, 0, 'COVID19', 'PFIZER\BIONTECH', '016M20A', '2', 'GBPFIZER INC2020486806', 0, 0, 'United Kingdom'],
[0, 0, 0, 'COVID19', 'MODERNA', '030L20A', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],
[1, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],
[0, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France']],
index = [
"1048786",
"1048786",
"4711",
"0815"])
dataFrame = SevereColumnAdder.addSevereColumn(dataFrame)
batchCodeTableFactory = BatchCodeTableFactory(dataFrame)
# When
batchCodeTable = batchCodeTableFactory.createBatchCodeTableByCountry('France', countriesAsList)
# Then
france = self._convertCountries(['France'], countriesAsList)
assert_frame_equal(
batchCodeTable[['Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Company', 'Countries', 'Severe reports', 'Lethality']],
TestHelper.createDataFrame(
columns = ['Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Company', 'Countries', 'Severe reports', 'Lethality'],
data = [ [2, 1, 2, 2, 'MODERNA', france, 2/2 * 100, 1/2 * 100],
[1, 0, 0, 0, 'MODERNA', france, 0/1 * 100, 0/1 * 100]],
index = pd.Index(
[
'030L20B',
'030L20A'
],
name = 'VAX_LOT')),
check_dtype = True)
def _createGlobalBatchCodeTable(self, countriesAsList):
# Given
dataFrame = TestHelper.createDataFrame(
columns = ['DIED', 'L_THREAT', 'DISABLE', 'VAX_TYPE', 'VAX_MANU', 'VAX_LOT', 'VAX_DOSE_SERIES', 'SPLTTYPE', 'HOSPITAL', 'ER_VISIT', 'COUNTRY'],
data = [ [1, 0, 0, 'COVID19', 'PFIZER\BIONTECH', '016M20A', '2', 'GBPFIZER INC2020486806', 0, 0, 'United Kingdom'],
[0, 0, 0, 'COVID19', 'MODERNA', '030L20A', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],
[1, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],
[0, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'United Kingdom']],
index = [
"1048786",
"1048786",
"4711",
"0815"])
dataFrame = SevereColumnAdder.addSevereColumn(dataFrame)
batchCodeTableFactory = BatchCodeTableFactory(dataFrame)
# When
batchCodeTable = batchCodeTableFactory.createGlobalBatchCodeTable(countriesAsList)
# Then
assert_frame_equal(
batchCodeTable[['Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Company', 'Countries', 'Severe reports', 'Lethality']],
TestHelper.createDataFrame(
columns = ['Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Company', 'Countries', 'Severe reports', 'Lethality'],
data = [ [1, 1, 0, 0, 'PFIZER\BIONTECH', self._convertCountries(['United Kingdom'], countriesAsList), 1/1 * 100, 1/1 * 100],
[2, 1, 2, 2, 'MODERNA', self._convertCountries(['France', 'United Kingdom'], countriesAsList), 2/2 * 100, 1/2 * 100],
[1, 0, 0, 0, 'MODERNA', self._convertCountries(['France'], countriesAsList), 0/1 * 100, 0/1 * 100]],
index = pd.Index(
[
'016M20A',
'030L20B',
'030L20A'
],
name = 'VAX_LOT')),
check_dtype = True)
def _convertCountries(self, countries, countriesAsList):
return ', '.join(countries) if not countriesAsList else countries