def get_impact_data():
# noinspection PyBroadException
try:
payload = request.get_json()
payments = payload['payment']
lump_sum = payload['lumpsum']
except:
payments = 800
lump_sum = 200
# Calculate impact on all the debt vehicles and send to FRONT END
impact_dict = dict()
average_weighted_rate, principal = weighted_interest_sum()
debt_table = walk_forward_projection(principal=principal, annual_rate=average_weighted_rate, months=60)
print('principal: {}'.format(principal))
print('interest: {}'.format(average_weighted_rate))
print('$ {}'.format(round(debt_table['payment'].ix[1], 2)))
time_saved, money_saved = impact_calculator_total(
present_value=principal,
annual_rate=average_weighted_rate,
payments=round(debt_table['payment'].ix[1], 2),
lump_sum=lump_sum
)
impact_dict['time_saved'] = time_saved
impact_dict['money_saved'] = money_saved
response_object = {
'impacts': impact_dict
}
print(response_object)
return response_object
def get_debt_projection():
# Get Post body if it exists
average_weighted_rate, principal = weighted_interest_sum()
# TODO Test this SHIT
# F**k off prospector this is a f*****g hackathon!
# noinspection PyBroadException
try:
payload = request.get_json()
payment = payload['payment']
projection_data = walk_forward_projection(principal=principal, annual_rate=average_weighted_rate, payment=payment)
except:
projection_data = walk_forward_projection(principal=principal, annual_rate=average_weighted_rate, months=60)
balance_list = projection_data['balance'].as_matrix().tolist()
balance_dictionaries = []
for i in range(len(balance_list)):
balance_dictionaries.append(Balance(week=i, balance=balance_list[i]))
response_object = {
'projection': balance_dictionaries,
'term': len(projection_data) - 1,
'payment': round(projection_data['payment'].ix[1], 2),
'principal_segment': round(projection_data['principal_segment'].ix[1], 2),
'interest_segment': round(projection_data['interest_segment'].ix[1], 2),
'interest expense': {
'daily': average_weighted_rate * principal / 365.25,
'weekly': average_weighted_rate * principal / 52,
'monthly': average_weighted_rate * principal / 12,
'yearly': average_weighted_rate * principal
}
}
print(response_object)
return response_object