def create_product(self, row):
""" Helper function to save a product."""
p = Product()
p.plan_id = int(row[0])
p.institution = row[1]
p.loan_purpose = row[2]
p.pmt_type = row[3]
p.loan_type = row[4]
p.loan_term = int(row[5])
p.int_adj_term = self.c.nullable_int(row[6])
p.adj_period = self.c.nullable_int(row[7])
p.io = self.c.string_to_boolean(row[8])
p.arm_index = self.c.nullable_string(row[9])
p.int_adj_cap = self.c.nullable_int(row[10])
p.annual_cap = self.c.nullable_int(row[11])
p.loan_cap = self.c.nullable_int(row[12])
p.arm_margin = self.c.nullable_decimal(row[13])
p.ai_value = self.c.nullable_decimal(row[14])
p.min_ltv = float(row[15])
p.max_ltv = float(row[16])
p.min_fico = int(row[17])
p.max_fico = int(row[18])
p.min_loan_amt = Decimal(row[19])
p.max_loan_amt = Decimal(row[20])
p.data_timestamp = datetime.strptime('20140101', '%Y%m%d')
p.save()
return p
def create_product(self, row):
""" Helper function to save a product."""
p = Product()
p.plan_id = int(row[0])
p.institution = row[1]
p.loan_purpose = row[2]
p.pmt_type = row[3]
p.loan_type = row[4]
p.loan_term = int(row[5])
p.int_adj_term = self.c.nullable_int(row[6])
p.adj_period = self.c.nullable_int(row[7])
p.io = self.c.string_to_boolean(row[8])
p.arm_index = self.c.nullable_string(row[9])
p.int_adj_cap = self.c.nullable_int(row[10])
p.annual_cap = self.c.nullable_int(row[11])
p.loan_cap = self.c.nullable_int(row[12])
p.arm_margin = self.c.nullable_decimal(row[13])
p.ai_value = self.c.nullable_decimal(row[14])
p.min_ltv = Decimal(row[15]).quantize(Decimal('.001'))
p.max_ltv = Decimal(row[16]).quantize(Decimal('.001'))
p.min_fico = int(row[17])
p.max_fico = int(row[18])
p.min_loan_amt = Decimal(row[19])
p.max_loan_amt = Decimal(row[20])
p.data_timestamp = datetime.strptime('20140101', '%Y%m%d')
p.save()
return p
def load_product_data(self, data_date, zfile):
""" Load the daily product data."""
filename = "%s_product.txt" % data_date
data_date = timezone.make_aware(datetime.strptime(data_date, '%Y%m%d'),
timezone.get_current_timezone())
product_reader = reader(StringIO.StringIO(zfile.read(filename)),
delimiter='\t')
#Skip the first row as it contains column documentation
iterproducts = iter(product_reader)
next(iterproducts)
products = []
total_products = 0
for row in iterproducts:
total_products += 1
p = Product()
p.plan_id = int(row[0])
p.institution = row[1]
p.loan_purpose = row[2]
p.pmt_type = row[3]
p.loan_type = row[4]
p.loan_term = int(row[5])
p.int_adj_term = self.nullable_int(row[6])
p.adj_period = self.nullable_int(row[7])
p.io = self.string_to_boolean(row[8])
p.arm_index = self.nullable_string(row[9])
p.int_adj_cap = self.nullable_int(row[10])
p.annual_cap = self.nullable_int(row[11])
p.loan_cap = self.nullable_int(row[12])
p.arm_margin = self.nullable_decimal(row[13])
p.ai_value = self.nullable_decimal(row[14])
p.min_ltv = Decimal(row[15]).quantize(Decimal('.001'))
p.max_ltv = Decimal(row[16]).quantize(Decimal('.001'))
p.min_fico = int(row[17])
p.max_fico = int(row[18])
p.min_loan_amt = Decimal(row[19])
p.max_loan_amt = Decimal(row[20])
p.data_timestamp = data_date
products.append(p)
if len(products) > 1000:
Product.objects.bulk_create(products)
products[:] = []
Product.objects.bulk_create(products)
if not total_products or Product.objects.count() != total_products:
raise OaHException("Couldn't load product data from %s" %
zfile.filename)
def load_product_data(self, data_date, zfile):
""" Load the daily product data."""
filename = "%s_product.txt" % data_date
data_date = timezone.make_aware(
datetime.strptime(data_date, '%Y%m%d'),
timezone.get_current_timezone())
product_reader = reader(StringIO.StringIO(zfile.read(filename)), delimiter='\t')
#Skip the first row as it contains column documentation
iterproducts = iter(product_reader)
next(iterproducts)
products = []
total_products = 0
for row in iterproducts:
total_products += 1
p = Product()
p.plan_id = int(row[0])
p.institution = row[1]
p.loan_purpose = row[2]
p.pmt_type = row[3]
p.loan_type = row[4]
p.loan_term = int(row[5])
p.int_adj_term = self.nullable_int(row[6])
p.adj_period = self.nullable_int(row[7])
p.io = self.string_to_boolean(row[8])
p.arm_index = self.nullable_string(row[9])
p.int_adj_cap = self.nullable_int(row[10])
p.annual_cap = self.nullable_int(row[11])
p.loan_cap = self.nullable_int(row[12])
p.arm_margin = self.nullable_decimal(row[13])
p.ai_value = self.nullable_decimal(row[14])
p.min_ltv = float(row[15])
p.max_ltv = float(row[16])
p.min_fico = int(row[17])
p.max_fico = int(row[18])
p.min_loan_amt = Decimal(row[19])
p.max_loan_amt = Decimal(row[20])
p.data_timestamp = data_date
products.append(p)
if len(products) > 1000:
Product.objects.bulk_create(products)
products[:] = []
Product.objects.bulk_create(products)
if not total_products or Product.objects.count() != total_products:
raise OaHException("Couldn't load product data from %s" % zfile.filename)
def load_product_data(self, data_date, product_filename):
""" Load the daily product data."""
with open(product_filename) as product_csv:
product_reader = reader(product_csv, delimiter="\t")
# Skip the first row as it contains column documentation
iterproducts = iter(product_reader)
next(iterproducts)
products = []
for row in iterproducts:
p = Product()
p.plan_id = int(row[0])
p.institution = row[1]
p.loan_purpose = row[2]
p.pmt_type = row[3]
p.loan_type = row[4]
p.loan_term = int(row[5])
p.int_adj_term = self.nullable_int(row[6])
p.adj_period = self.nullable_int(row[7])
p.io = self.string_to_boolean(row[8])
p.arm_index = self.nullable_string(row[9])
p.int_adj_cap = self.nullable_int(row[10])
p.annual_cap = self.nullable_int(row[11])
p.loan_cap = self.nullable_int(row[12])
p.arm_margin = self.nullable_decimal(row[13])
p.ai_value = self.nullable_decimal(row[14])
p.min_ltv = float(row[15])
p.max_ltv = float(row[16])
p.min_fico = int(row[17])
p.max_fico = int(row[18])
p.min_loan_amt = Decimal(row[19])
p.max_loan_amt = Decimal(row[20])
p.data_timestamp = data_date
products.append(p)
if len(products) > 1000:
Product.objects.bulk_create(products)
products[:] = []
Product.objects.bulk_create(products)
