def mortgage_insurance(request):
""" Return the monthly and upfront mortgage insurance premiums in percentages (i.e. 1.7% returns 1.7)
If no premiums were found, no data will be returned. """
if request.method == 'GET':
# Clean the parameters, make sure no leading or trailing spaces, transform them to upper cases
fixed_data = dict(
map(lambda (k, v): (k, v.strip().upper()),
request.QUERY_PARAMS.iteritems()))
serializer = ParamsSerializer(data=fixed_data)
if serializer.is_valid():
package = {}
package['request'] = serializer.data
package['data'] = {}
monthly = Monthly.get_avg_premium(serializer.data)
upfront = Upfront.get_premium(serializer.data)
if not math.isnan(monthly):
package['data']['monthly'] = monthly
if not math.isnan(upfront):
package['data']['upfront'] = upfront
return Response(package)
else:
return Response(serializer.errors,
status=status.HTTP_400_BAD_REQUEST)
def mortgage_insurance(request):
""" Return the monthly and upfront mortgage insurance premiums in percentages (i.e. 1.7% returns 1.7)
If no premiums were found, no data will be returned. """
if request.method == 'GET':
# Clean the parameters, make sure no leading or trailing spaces, transform them to upper cases
fixed_data = dict(map(lambda (k, v): (k, v.strip().upper()), request.QUERY_PARAMS.iteritems()))
serializer = ParamsSerializer(data=fixed_data)
if serializer.is_valid():
package = {}
package['request'] = serializer.data
package['data'] = {}
monthly = Monthly.get_avg_premium(serializer.data)
upfront = Upfront.get_premium(serializer.data)
if not math.isnan(monthly):
package['data']['monthly'] = monthly
if not math.isnan(upfront):
package['data']['upfront'] = upfront
return Response(package)
else:
return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST)
def mortgage_insurance(request):
""" Return the monthly and upfront mortgage insurance premiums in percentages (i.e. 1.7% returns 1.7)
If no premiums were found, no data will be returned. """
if request.method == 'GET':
loan_type = request.QUERY_PARAMS.get('loan_type')
rate_structure = request.QUERY_PARAMS.get('rate_structure')
va_status = request.QUERY_PARAMS.get('va_status')
va_first_use = request.QUERY_PARAMS.get('va_first_use')
arm_type = request.QUERY_PARAMS.get('arm_type')
data = {
'price':
request.QUERY_PARAMS.get('price'),
'loan_amount':
request.QUERY_PARAMS.get('loan_amount'),
'minfico':
request.QUERY_PARAMS.get('minfico'),
'maxfico':
request.QUERY_PARAMS.get('maxfico'),
'loan_term':
request.QUERY_PARAMS.get('loan_term'),
'loan_type':
'' if loan_type is None else loan_type.strip().upper(),
'rate_structure':
'' if rate_structure is None else rate_structure.strip().upper(),
'va_status':
'' if va_status is None else va_status.strip().upper(),
'va_first_use':
'' if va_first_use is None else va_first_use.strip().upper(),
'arm_type':
'' if arm_type is None else arm_type.strip().upper(),
}
serializer = ParamsSerializer(data=data)
if serializer.is_valid():
package = {}
package['request'] = serializer.data
package['data'] = {}
monthly = Monthly.get_avg_premium(serializer.data)
upfront = Upfront.get_premium(serializer.data)
if not math.isnan(monthly):
package['data']['monthly'] = monthly
if not math.isnan(upfront):
package['data']['upfront'] = upfront
return Response(package)
else:
return Response(serializer.errors,
status=status.HTTP_400_BAD_REQUEST)
def mortgage_insurance(request):
""" Return the monthly and upfront mortgage insurance premiums in percentages (i.e. 1.7% returns 1.7)
If no premiums were found, no data will be returned. """
if request.method == 'GET':
loan_type = request.QUERY_PARAMS.get('loan_type')
rate_structure = request.QUERY_PARAMS.get('rate_structure')
va_status = request.QUERY_PARAMS.get('va_status')
va_first_use = request.QUERY_PARAMS.get('va_first_use')
arm_type = request.QUERY_PARAMS.get('arm_type')
data = {
'price' : request.QUERY_PARAMS.get('price'),
'loan_amount' : request.QUERY_PARAMS.get('loan_amount'),
'minfico' : request.QUERY_PARAMS.get('minfico'),
'maxfico' : request.QUERY_PARAMS.get('maxfico'),
'loan_term' : request.QUERY_PARAMS.get('loan_term'),
'loan_type' : '' if loan_type is None else loan_type.strip().upper(),
'rate_structure' : '' if rate_structure is None else rate_structure.strip().upper(),
'va_status' : '' if va_status is None else va_status.strip().upper(),
'va_first_use' : '' if va_first_use is None else va_first_use.strip().upper(),
'arm_type' : '' if arm_type is None else arm_type.strip().upper(),
}
serializer = ParamsSerializer(data=data)
if serializer.is_valid():
package = {}
package['request'] = serializer.data
package['data'] = {}
monthly = Monthly.get_avg_premium(serializer.data)
upfront = Upfront.get_premium(serializer.data)
if not math.isnan(monthly):
package['data']['monthly'] = monthly
if not math.isnan(upfront):
package['data']['upfront'] = upfront
return Response(package)
else:
return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST)
def load_monthly(self, filename):
with open(filename, 'rU') as csvfile:
csvreader = csv.reader(csvfile, delimiter=',', quotechar='"')
# Delete all items in tables
Monthly.objects.all().delete()
# Remove the first line which is the header line
csvreader.next()
for row in csvreader:
insurer, min_ltv, max_ltv, min_fico, max_fico, loan_term, pmt_type, min_loan_amt, max_loan_amt, premium = row
m = Monthly()
m.insurer = insurer.strip().upper()
m.min_ltv = Decimal(min_ltv)
m.max_ltv = Decimal(max_ltv)
m.min_fico = int(min_fico)
m.max_fico = int(max_fico)
m.loan_term = int(loan_term)
m.pmt_type = pmt_type.strip().upper()
m.min_loan_amt = Decimal(min_loan_amt)
m.max_loan_amt = Decimal(max_loan_amt)
m.premium = Decimal(premium)
m.save()
self.stdout.write('\nSuccessfully loaded data from %s\n\n' % filename)
def populate_db(self):
""" Prepopulate DB with dummy data. """
m_ins1_1 = Monthly(insurer='INS1',
min_ltv=Decimal("30.001"),
max_ltv=Decimal("70"),
min_fico=700,
max_fico=740,
loan_term=30,
pmt_type='FIXED',
min_loan_amt=Decimal("400000"),
max_loan_amt=Decimal("1000000"),
premium=Decimal("1.4"))
m_ins1_1.save()
m_ins2_1 = Monthly(insurer='INS2',
min_ltv=Decimal("30.001"),
max_ltv=Decimal("70"),
min_fico=700,
max_fico=740,
loan_term=30,
pmt_type='FIXED',
min_loan_amt=Decimal("400000"),
max_loan_amt=Decimal("1000000"),
premium=Decimal("1.6"))
m_ins2_1.save()
m_ins1_2 = Monthly(insurer='INS1',
min_ltv=Decimal("20.001"),
max_ltv=Decimal("30"),
min_fico=700,
max_fico=740,
loan_term=30,
pmt_type='FIXED',
min_loan_amt=Decimal("400000"),
max_loan_amt=Decimal("1000000"),
premium=Decimal("0.523"))
m_ins1_2.save()
m_ins2_2 = Monthly(insurer='INS2',
min_ltv=Decimal("20.001"),
max_ltv=Decimal("30"),
min_fico=700,
max_fico=740,
loan_term=30,
pmt_type='FIXED',
min_loan_amt=Decimal("400000"),
max_loan_amt=Decimal("1000000"),
premium=Decimal("0.642"))
m_ins2_2.save()
m_fha = Monthly(insurer='FHA',
min_ltv=Decimal("20.001"),
max_ltv=Decimal("70"),
min_fico=700,
max_fico=740,
loan_term=30,
pmt_type='FIXED',
min_loan_amt=Decimal("400000"),
max_loan_amt=Decimal("1000000"),
premium=Decimal("0.85"))
m_fha.save()
u_fha = Upfront(loan_type='FHA',
min_ltv=Decimal("0"),
max_ltv=Decimal("80"),
premium=Decimal("3.75"))
u_fha.save()
u_va_disabled = Upfront(loan_type='VA',
va_status='DISABLED',
min_ltv=Decimal("0"),
max_ltv=Decimal("80"),
premium=Decimal("1.5"))
u_va_disabled.save()
u_va_regular_y = Upfront(loan_type='VA',
va_status='REGULAR',
va_first_use='Y',
min_ltv=Decimal("0"),
max_ltv=Decimal("80"),
premium=Decimal("2.0"))
u_va_regular_y.save()
def load_monthly(self, filename):
with open(filename, 'rU') as csvfile:
csvreader = csv.reader(csvfile, delimiter=',', quotechar='"')
# Delete all items in tables
Monthly.objects.all().delete()
# Remove the first line which is the header line
csvreader.next()
for row in csvreader:
insurer, min_ltv, max_ltv, min_fico, max_fico, loan_term, pmt_type, min_loan_amt, max_loan_amt, premium = row
m = Monthly()
m.insurer = insurer.strip().upper()
m.min_ltv = Decimal(min_ltv)
m.max_ltv = Decimal(max_ltv)
m.min_fico = int(min_fico)
m.max_fico = int(max_fico)
m.loan_term = int(loan_term)
m.pmt_type = pmt_type.strip().upper()
m.min_loan_amt = Decimal(min_loan_amt)
m.max_loan_amt = Decimal(max_loan_amt)
m.premium = Decimal(premium)
m.save()
self.stdout.write('\nSuccessfully loaded data from %s\n\n' %
filename)
def populate_db(self):
""" Prepopulate DB with dummy data. """
m_ins1_1 = Monthly(insurer='INS1',min_ltv=Decimal("30.001"),max_ltv=Decimal("70"),min_fico=700,max_fico=740,loan_term=30,pmt_type='FIXED',min_loan_amt=Decimal("400000"),max_loan_amt=Decimal("1000000"),premium=Decimal("1.4"))
m_ins1_1.save()
m_ins2_1 = Monthly(insurer='INS2',min_ltv=Decimal("30.001"),max_ltv=Decimal("70"),min_fico=700,max_fico=740,loan_term=30,pmt_type='FIXED',min_loan_amt=Decimal("400000"),max_loan_amt=Decimal("1000000"),premium=Decimal("1.6"))
m_ins2_1.save()
m_ins1_2 = Monthly(insurer='INS1',min_ltv=Decimal("20.001"),max_ltv=Decimal("30"),min_fico=700,max_fico=740,loan_term=30,pmt_type='FIXED',min_loan_amt=Decimal("400000"),max_loan_amt=Decimal("1000000"),premium=Decimal("0.523"))
m_ins1_2.save()
m_ins2_2 = Monthly(insurer='INS2',min_ltv=Decimal("20.001"),max_ltv=Decimal("30"),min_fico=700,max_fico=740,loan_term=30,pmt_type='FIXED',min_loan_amt=Decimal("400000"),max_loan_amt=Decimal("1000000"),premium=Decimal("0.642"))
m_ins2_2.save()
m_fha = Monthly(insurer='FHA',min_ltv=Decimal("20.001"),max_ltv=Decimal("70"),min_fico=700,max_fico=740,loan_term=30,pmt_type='FIXED',min_loan_amt=Decimal("400000"),max_loan_amt=Decimal("1000000"),premium=Decimal("0.85"))
m_fha.save()
u_fha = Upfront(loan_type='FHA',min_ltv=Decimal("0"), max_ltv=Decimal("80"),premium=Decimal("3.75"))
u_fha.save()
u_va_disabled = Upfront(loan_type='VA',va_status='DISABLED',min_ltv=Decimal("0"), max_ltv=Decimal("80"),premium=Decimal("1.5"))
u_va_disabled.save()
u_va_regular_y = Upfront(loan_type='VA',va_status='REGULAR',va_first_use='Y',min_ltv=Decimal("0"),max_ltv=Decimal("80"),premium=Decimal("2.0"))
u_va_regular_y.save()