def test_filters(find_qualifying_loans): #added find_qualifying_loans to argument of test_filters function
bank_data = fileio.load_csv(Path('./data/daily_rate_sheet.csv'))
current_credit_score = 750
debt = 1500
income = 4000
loan = 210000
home_value = 250000
monthly_debt_ratio = 0.375
loan_to_value_ratio = 0.84
def test_filters():
bank_data = fileio.load_csv(Path('./data/daily_rate_sheet.csv'))
current_credit_score = 750
debt = 1500
income = 4000
loan = 210000
home_value = 250000
monthly_debt_ratio = 0.375
loan_to_value_ratio = 0.84
def load_bank_data():
"""Ask for the file path to the latest banking data and load the CSV file.
Returns:
The bank data from the data rate sheet CSV file.
"""
csvpath = questionary.text("Enter a file path to a rate-sheet (.csv):").ask()
csvpath = Path(csvpath)
if not csvpath.exists():
sys.exit(f"Oops! Can't find this path: {csvpath}")
return load_csv(csvpath)
def test_filters():
bank_data = load_csv(Path('./data/daily_rate_sheet.csv'))
credit_score = 750
debt = 1500
income = 4000
loan = 210000
home_value = 250000
monthly_debt_ratio = 0.375
loan_to_value_ratio = 0.84
return (bank_data, credit_score, debt, income, loan, home_value,
monthly_debt_ratio, loan_to_value_ratio)
def test_filters():
bank_data = load_csv(Path('../data/daily_rate_sheet.csv'))
current_credit_score = 750
debt = 1500
income = 4000
loan = 210000
home_value = 250000
monthly_debt_ratio = 0.375
loan_to_value_ratio = 0.84
# @TODO: Test the new save_csv code!
# YOUR CODE HERE!
return test_save_csv()
def load_bank_data():
"""Ask for the file path to the latest banking data and load the CSV file.
Returns:
The bank data from the data rate sheet CSV file.
"""
# Questioning user and storing answer to a variable.
csvpath = questionary.text(
"Enter a file path './data/daily_rate_sheet.csv':").ask()
# Removing space and normalizing data input to lower case.
csvpath = csvpath.replace(" ", "").lower()
csvpath = Path(csvpath)
# Validates input file daily_rate_sheet.csv location.
if not csvpath.exists():
sys.exit(f"Oops! Can't find this path: {csvpath}")
return load_csv(csvpath)
def test_filters():
csvpath = Path('../data/daily_rate_sheet.csv')
bank_data = fileio.load_csv(csvpath)
current_credit_score = 750
debt = 1500
income = 4000
loan = 210000
home_value = 250000
monthly_debt_ratio = 0.375
loan_to_value_ratio = 0.84
filtered_bank_data = max_loan_size.filter_max_loan_size(loan, bank_data)
filtered_bank_data = credit_score.filter_credit_score(
current_credit_score, filtered_bank_data)
filtered_bank_data = debt_to_income.filter_debt_to_income(
monthly_debt_ratio, filtered_bank_data)
filtered_bank_data = loan_to_value.filter_loan_to_value(
loan_to_value_ratio, filtered_bank_data)
assert len(filtered_bank_data) == 6
