def test_squareRoot(self):
test_data = CsvReader("Tests/Data/Unit Test Square Root.csv").data
for row in test_data:
res = float(row['Result'])
self.assertEqual(self.calculator.squareRootRes(row['Value 1']),
round(res, 8))
self.assertEqual(self.calculator.res, round(res, 8))
def test_subtraction(self):
test_data = CsvReader("Tests/Data/Unit Test Subtraction.csv").data
for row in test_data:
res = float(row['Result'])
self.assertEqual(
self.calculator.subRes(row['Value 2'], row['Value 1']), res)
self.assertEqual(self.calculator.res, res)
def test_subtract_method_calculator(self):
self.test_data = CsvReader('src/td/subtraction.csv').data
for row in self.test_data:
self.assertEqual(
self.calculator.subtract(row['Value 1'], row['Value 2']),
int(row['Result']))
self.assertEqual(self.calculator.result, int(row['Result']))
def test_sqrtSquared(self):
test_data = CsvReader(
"Tests/Data/Unit Test Square Root plus Squared.csv").data
for row in test_data:
res = float(row['Result'])
self.assertEqual(self.calculator.sqrtSquared(row['Value 1']), res)
self.assertEqual(self.calculator.res, res)
def test_multiply_method_calculator(self):
self.test_data = CsvReader('src/td/multiplication.csv').data
for row in self.test_data:
self.assertEqual(
self.calculator.multiply(row['Value 1'], row['Value 2']),
Decimal(row['Result']))
self.assertEqual(self.calculator.result, int(row['Result']))
def test_divide_method_calculator(self):
self.test_data = CsvReader('src/td/division.csv').data
for row in self.test_data:
self.assertEqual(
self.calculator.divide(row['Value 1'], row['Value 2']),
Decimal(row['Result']))
self.assertEqual(self.calculator.divide('0', row['Value 2']),
'error, the divisor can not be zero')
def test_multAdd(self):
test_data = CsvReader(
"Tests/Data/Unit Test Multiplication plus Addition.csv").data
for row in test_data:
res = float(row['Result'])
self.assertEqual(
self.calculator.multAdd(row['Value 1'], row['Value 2'],
row['Value 3'], row['Value 4']), res)
self.assertEqual(self.calculator.res, res)
def test_addSubDiv(self):
test_data = CsvReader("Tests/Data/Unit Test Add Sub Div.csv").data
for row in test_data:
res = float(row['Result'])
self.assertEqual(
self.calculator.addSubDiv(row['Value 1'], row['Value 2'],
row['Value 3'], row['Value 4'],
row['Value 5']), res)
self.assertEqual(self.calculator.res, res)
class MyTestCase(unittest.TestCase):
def setUp(self) -> None:
self.csv_reader = CsvReader('src/td/addition.csv')
def test_return_data_as_objects(self):
values = self.csv_reader.return_data_as_objects('a_value')
self.assertIsInstance(values, list)
test_class = class_factory('a_value', self.csv_reader.data[0])
for a_value in values:
self.assertEqual(a_value[0], test_class[0])
class MyTestCase(unittest.TestCase):
def setUp(self) -> None:
self.csv_reader = CsvReader('Tests/Data/testJobs.csv')
def test_return_as_objects(self):
staff = self.csv_reader.return_data_as_class('job')
self.assertIsInstance(staff, list)
test_class = ClassFactory('job', self.csv_reader.data[0])
for job in staff:
self.assertEqual(job.__name__, test_class.__name__)
def Load(self, shopsPath, tagsPath, taggingsPath, productsPath):
""" Loads provided csv files into entities/models. Returns a list of ShopLocation objects """
reader = CsvReader()
#read files into entity collections
shops = reader.Read(shopsPath, Extenders.InitializeExtendedShop)
tags = reader.Read(tagsPath)
taggings = reader.ReadList(taggingsPath)
products = reader.ReadList(productsPath)
#match shops with tags
for tagging in taggings:
try:
#tags are added in lowercase for case insensitive comparison. Lowercase comparison does not work for all cultures, consider using another method
shops[tagging.shop_id].tags.add(
tags[tagging.tag_id].tag.lower())
except KeyError:
continue
#match shops with products
for product in products:
try:
shops[product.shop_id].products.add(product)
except KeyError:
continue
#build a list of ShopLocation objects to represent final results
shopLocationCollection = []
for i, shop in shops.iteritems():
coordinates = CoordinateHelper.CastString2Coordinates(
shop.lat, shop.lng)
if (coordinates == None):
continue
else:
shopLocationCollection.append(ShopLocation(shop, coordinates))
#return a list of ShopLocation objects
return shopLocationCollection
def parseFile(self):
for guiLine in self.guiMap:
( filename, ibans, combo, checkButton, state ) = guiLine
if state.get():
ibanType = combo.get()
config = Config()
fields = config.getCurrentBank( ibanType )
bankStatement = BankStatement()
bankStatement.account = ibans[0]
csvReader = CsvReader(fields)
csvReader.readFile( filename, bankStatement )
ofx = Ofx()
ofx.createXmlFile( filename, bankStatement )
checkButton.configure(state=constants.DISABLED)
def test_multiply_method_calculator(self):
test_data = CsvReader("/src/data/Unit Test Multiplication.csv").get_data
for row in test_data:
self.assertEqual(self.calculator.multiply(row['Value 1'], row['Value 2']), float(row['Result']))
self.assertEqual(self.calculator.result, float(row['Result']))
def test_divide_method_calculator(self):
test_data = CsvReader("/src/data/Unit Test Division.csv").get_data
for row in test_data:
self.assertAlmostEqual(self.calculator.divide(row['Value 2'], row['Value 1']), float(row['Result']))
self.assertAlmostEqual(self.calculator.result, float(row['Result']))
from csvReader import CsvReader
from regexChecker import RegexChecker as rc
from textChecker import TextChecker as tc
import re
import pandas as pd
if __name__ == "__main__":
# pandas display option to show full df
pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)
# path = "C:\\Users\\Ko.In\\Desktop\\testdata.csv"
path = "C:\\Users\\Ko.In\\Desktop\\PiiExtractionData\\callcenter_data (201809).csv"
reader = CsvReader(path)
filtered_df = CsvReader.filtered_df(reader.df)
msgs = list(filtered_df["本文[msg.body]"])
email_regex = rc.email_regex()
phone_regex = rc.phone_regex()
result = []
count = 0
while count < len(msgs):
match = False
row = {}
email = re.findall(email_regex, msgs[count])
phone = re.findall(phone_regex, msgs[count])
if len(email) > 0:
row["Email"] = email
def test_squareroot_method_calculator(self):
test_data = CsvReader("/src/data/Unit Test Square Root.csv").get_data
for row in test_data:
self.assertAlmostEqual(self.calculator.square_root(row['Value 1']), float(row['Result']))
self.assertAlmostEqual(self.calculator.result, float(row['Result']))
def setUp(self) -> None:
self.csv_reader = CsvReader('src/td/addition.csv')
from datetime import datetime
from csvReader import CsvReader
from googleFormWriter import GoogleFormWriter
from question import Question
from text import Text
if __name__ == '__main__':
""" HIER INFOS ANGEBEN """
# Speicherort der Baum-CSV-Datei
csv_file = '../data/Baum_Incom.csv'
# Projekt Titel
#project_title = "Version_{}".format(datetime.now().strftime("%Y-%m-%d_%H-%M-%S"))
project_title = "Beratungslotse - Follow Me! (Incom)"
# Speicherort der gs-Datei.
gs_file = "../data/Baum_Incom.gs".format(project_title)
# Lesen der CSV-Datei
pages_dict = CsvReader.read(csv_file)
# Schreiben in die gs-Datei
GoogleFormWriter.write(pages_dict=pages_dict,
project_title=project_title,
file_name=gs_file)
def test_square_method_calculator(self):
self.test_data = CsvReader('src/td/square.csv').data
for row in self.test_data:
self.assertEqual(self.calculator.square(row['Value 1']),
Decimal(row['Result']))
self.assertEqual(self.calculator.result, int(row['Result']))
def test_square_root_method_calculator(self):
self.test_data = CsvReader('src/td/squareRoot.csv').data
for row in self.test_data:
self.assertEqual(self.calculator.square_root(row['Value 1']),
float(row['Result']))
self.assertEqual(self.calculator.result, float(row['Result']))
def setUp(self) -> None:
self.csv_reader = CsvReader('Tests/Data/testJobs.csv')
from csvReader import CsvReader
columnsNamesToExtract = [
'director_name', 'actor_2_name', 'actor_1_name', 'actor_3_name', 'gross',
'genres', 'movie_title', 'num_voted_users', 'imdb_score'
]
csvReader = CsvReader('dataset.csv', 'Movie', columnsNamesToExtract)
csvReader.setChunkSize(5)
csvIterator = iter(csvReader)
for movies in csvIterator:
for movie in movies:
print(movie.movie_title)
print("\n")
#print("inside args tag",args.tag)
res_list = res.get_ec2_resources_on_taginfo(tagonly=args.tag)
print(res_list)
# if the script runs with both tag key and value
if (args.tag and args.value):
#print("inside args tag value",args.tag,args.value)
res_list = res.get_ec2_resources_on_taginfo(key=args.tag,
value=args.value)
print(res_list)
# if the script runs in batch file mode
if (args.file):
if (args.file == "get"):
#read the input file
result_list = []
csvreader = CsvReader(abspath, tag_input_file,
fieldnames_tag_input)
csvwriter = CsvWriter(abspath, resources_output_file,
fieldnames_resource_output)
csvwriter.writefile_header()
data_list = csvreader.readrows()
for row in data_list:
res_list = []
key = []
value = []
key.append(row['tagkey'])
value.append(row['tagvalue'])
if (key[0] != '' and value[0] != ''):
res_list = res.get_ec2_resources_on_taginfo(
key=key, value=value)
