def load_transactions(transaction_file, verbose=False):
with open(transaction_file, 'r') as f:
reader = csv.reader(f, delimiter="\t")
reader.next()
skip_lookup = False
if Transaction.objects.count() == 0:
skip_lookup = True
for row in reader:
try:
amount_prime = float(row[2])
except:
amount_prime = None
doc = row[3].strip()
date_doc = spss_to_posix(row[4])
date_rec = spss_to_posix(row[5])
buyer = row[6].strip()
buyer_type = row[7].strip()
seller = row[8].strip()
seller_type = row[9].strip()
try:
non_condo = int(row[10])
except:
non_condo = None
try:
purchase_less_20k = int(row[11])
except:
purchase_less_20k = None
try:
business_buyer = int(row[12])
except:
business_buyer = None
try:
yq_doc = int(row[13])
except:
yq_doc = None
try:
yeard = int(row[14])
except:
yeard = None
apt = row[15].strip()
direction = row[16].strip()
houseno = row[17].strip()
street = row[18].strip()
suffix = row[19].strip()
addr_final = row[20].strip()
city_final = row[21].strip()
try:
lat_y = float(row[22])
except:
lat_y = None
try:
long_x = float(row[23])
except:
long_x = None
try:
tract_fix = float(row[24])
except:
tract_fix = None
no_tract_info = True if int(row[25]) == 1 else False
try:
ca_num = int(row[26])
except:
ca_num = None
ca_name = row[27].strip()
place = row[28].strip()
gisdate = row[29].strip()
try:
ptype_id = int(row[30])
except:
ptype_id = None
try:
residential = int(row[31])
except:
residential = None
try:
adj_yq = int(row[32])
except:
adj_yq = None
try:
adj_yd = int(row[33])
except:
adj_yd = None
loc = None if row[22] == '' else Point(
(Decimal(row[23]),
Decimal(row[22])), srid=4326).transform(3435)
try:
if skip_lookup:
raise Exception('no lookup')
transaction = Transaction.objects.get(\
pin = pin\
,amount_prime = amount_prime\
,doc = doc\
,date_doc = date_doc\
,date_rec = date_rec\
,buyer = buyer\
,buyer_type = buyer_type\
,seller = seller\
,seller_type = seller_type\
,non_condo = non_condo\
,purchase_less_20k = purchase_less_20k\
,business_buyer = business_buyer\
,yq_doc = yq_doc\
,yeard = yeard\
,apt = apt\
,direction = direction\
,houseno = houseno\
,street = street\
,suffix = suffix\
,addr_final = addr_final\
,city_final = city_final\
,lat_y = lat_y\
,long_x = long_x\
,tract_fix = tract_fix\
,no_tract_info = no_tract_info\
,ca_num = ca_num\
,ca_name = ca_name\
,place = place\
,gisdate = gisdate\
,ptype_id = ptype_id\
,residential = residential\
,adj_yq = adj_yq\
,adj_yd = adj_yd\
,loc = loc\
)
except:
transaction = Transaction(\
pin = pin\
,amount_prime = amount_prime\
,doc = doc\
,date_doc = date_doc\
,date_rec = date_rec\
,buyer = buyer\
,buyer_type = buyer_type\
,seller = seller\
,seller_type = seller_type\
,non_condo = non_condo\
,purchase_less_20k = purchase_less_20k\
,business_buyer = business_buyer\
,yq_doc = yq_doc\
,yeard = yeard\
,apt = apt\
,direction = direction\
,houseno = houseno\
,street = street\
,suffix = suffix\
,addr_final = addr_final\
,city_final = city_final\
,lat_y = lat_y\
,long_x = long_x\
,tract_fix = tract_fix\
,no_tract_info = no_tract_info\
,ca_num = ca_num\
,ca_name = ca_name\
,place = place\
,gisdate = gisdate\
,ptype_id = ptype_id\
,residential = residential\
,adj_yq = adj_yq\
,adj_yd = adj_yd\
,loc = loc\
)
transaction.save()
def load_mortgages(mortgage_file, verbose=False):
with open(mortgage_file, 'r') as f:
reader = csv.reader(f, delimiter="\t")
reader.next()
skip_lookup = False
if Mortgage.objects.count() == 0:
skip_lookup = True
for row in reader:
pin = '{:0>14}'.format(int(Decimal(row[1])))
doc = row[2].strip()
try:
mort_amt = float(row[3])
except:
mort_amt = None
date_doc = spss_to_posix(row[4])
date_rec = spss_to_posix(row[5])
borrower1 = row[6].strip()
borrower1_type = row[7].strip()
lender1 = row[8].strip()
lender1_type = row[9].strip()
lender2 = row[10].strip()
lender2_type = row[11].strip()
try:
yq_doc = int(row[12])
except:
yq_doc = None
try:
yeard = int(row[13])
except:
yeard = None
apt = row[14].strip()
direction = row[15].strip()
houseno = row[16].strip()
street = row[17].strip()
suffix = row[18].strip()
addr_final = row[19].strip()
city_final = row[20].strip()
try:
lat_y = float(row[21])
except:
lat_y = None
try:
long_x = float(row[22])
except:
long_x = None
try:
tract_fix = float(row[23])
except:
tract_fix = None
no_tract_info = True if int(row[24]) == 1 else False
try:
ca_num = int(row[25])
except:
ca_num = None
ca_name = row[26].strip()
place = row[27].strip()
gisdate = row[28].strip()
try:
ptype_id = int(row[29])
except:
ptype_id = None
try:
residential = int(row[30])
except:
residential = None
try:
adj_yq = int(row[31])
except:
adj_yq = None
try:
adj_yd = int(row[32])
except:
adj_yd = None
loc = None if row[21] == '' else Point(
(Decimal(row[22]), Decimal(row[21])))
try:
if skip_lookup:
raise Exception('no lookup')
mortgage = Mortgage.objects.get(\
pin = pin\
,doc = doc\
,mort_amt = mort_amt\
,date_doc = date_doc\
,date_rec = date_rec\
,borrower1 = borrower1\
,borrower1_type = borrower1_type\
,lender1 = lender1\
,lender1_type = lender1_type\
,lender2 = lender2\
,lender2_type = lender2_type\
,yq_doc = yq_doc\
,yeard = yeard\
,apt = apt\
,direction = direction\
,houseno = houseno\
,street = street\
,suffix = suffix\
,addr_final = addr_final\
,city_final = city_final\
,lat_y = lat_y\
,long_x = long_x\
,tract_fix = tract_fix\
,no_tract_info = no_tract_info\
,ca_num = ca_num\
,ca_name = ca_name\
,place = place\
,gisdate = gisdate\
,ptype_id = ptype_id\
,residential = residential\
,adj_yq = adj_yq\
,adj_yd = adj_yd\
,loc = loc\
)
except:
mortgage = Mortgage(\
pin = pin\
,doc = doc\
,mort_amt = mort_amt\
,date_doc = date_doc\
,date_rec = date_rec\
,borrower1 = borrower1\
,borrower1_type = borrower1_type\
,lender1 = lender1\
,lender1_type = lender1_type\
,lender2 = lender2\
,lender2_type = lender2_type\
,yq_doc = yq_doc\
,yeard = yeard\
,apt = apt\
,direction = direction\
,houseno = houseno\
,street = street\
,suffix = suffix\
,addr_final = addr_final\
,city_final = city_final\
,lat_y = lat_y\
,long_x = long_x\
,tract_fix = tract_fix\
,no_tract_info = no_tract_info\
,ca_num = ca_num\
,ca_name = ca_name\
,place = place\
,gisdate = gisdate\
,ptype_id = ptype_id\
,residential = residential\
,adj_yq = adj_yq\
,adj_yd = adj_yd\
,loc = loc\
)
mortgage.save()
def load_mortgages(mortgage_file, verbose = False):
with open(mortgage_file,'r') as f:
reader = csv.reader(f, delimiter="\t")
reader.next()
skip_lookup = False
if Mortgage.objects.count() == 0:
skip_lookup = True
for row in reader:
pin = '{:0>14}'.format(int(Decimal(row[1])))
doc = row[2].strip()
try: mort_amt = float(row[3])
except: mort_amt = None
date_doc = spss_to_posix(row[4])
date_rec = spss_to_posix(row[5])
borrower1 = row[6].strip()
borrower1_type = row[7].strip()
lender1 = row[8].strip()
lender1_type = row[9].strip()
lender2 = row[10].strip()
lender2_type = row[11].strip()
try: yq_doc = int(row[12])
except: yq_doc = None
try: yeard = int(row[13])
except: yeard = None
apt = row[14].strip()
direction = row[15].strip()
houseno = row[16].strip()
street = row[17].strip()
suffix = row[18].strip()
addr_final = row[19].strip()
city_final = row[20].strip()
try: lat_y = float(row[21])
except: lat_y = None
try: long_x = float(row[22])
except: long_x = None
try: tract_fix = float(row[23])
except: tract_fix = None
no_tract_info = True if int(row[24])==1 else False
try: ca_num = int(row[25])
except: ca_num = None
ca_name = row[26].strip()
place = row[27].strip()
gisdate = row[28].strip()
try: ptype_id = int(row[29])
except: ptype_id = None
try: residential = int(row[30])
except: residential = None
try: adj_yq = int(row[31])
except: adj_yq = None
try: adj_yd = int(row[32])
except: adj_yd = None
loc = None if row[21]=='' else Point((Decimal(row[22]), Decimal(row[21])))
try:
if skip_lookup:
raise Exception('no lookup')
mortgage = Mortgage.objects.get(\
pin = pin\
,doc = doc\
,mort_amt = mort_amt\
,date_doc = date_doc\
,date_rec = date_rec\
,borrower1 = borrower1\
,borrower1_type = borrower1_type\
,lender1 = lender1\
,lender1_type = lender1_type\
,lender2 = lender2\
,lender2_type = lender2_type\
,yq_doc = yq_doc\
,yeard = yeard\
,apt = apt\
,direction = direction\
,houseno = houseno\
,street = street\
,suffix = suffix\
,addr_final = addr_final\
,city_final = city_final\
,lat_y = lat_y\
,long_x = long_x\
,tract_fix = tract_fix\
,no_tract_info = no_tract_info\
,ca_num = ca_num\
,ca_name = ca_name\
,place = place\
,gisdate = gisdate\
,ptype_id = ptype_id\
,residential = residential\
,adj_yq = adj_yq\
,adj_yd = adj_yd\
,loc = loc\
)
except:
mortgage = Mortgage(\
pin = pin\
,doc = doc\
,mort_amt = mort_amt\
,date_doc = date_doc\
,date_rec = date_rec\
,borrower1 = borrower1\
,borrower1_type = borrower1_type\
,lender1 = lender1\
,lender1_type = lender1_type\
,lender2 = lender2\
,lender2_type = lender2_type\
,yq_doc = yq_doc\
,yeard = yeard\
,apt = apt\
,direction = direction\
,houseno = houseno\
,street = street\
,suffix = suffix\
,addr_final = addr_final\
,city_final = city_final\
,lat_y = lat_y\
,long_x = long_x\
,tract_fix = tract_fix\
,no_tract_info = no_tract_info\
,ca_num = ca_num\
,ca_name = ca_name\
,place = place\
,gisdate = gisdate\
,ptype_id = ptype_id\
,residential = residential\
,adj_yq = adj_yq\
,adj_yd = adj_yd\
,loc = loc\
)
mortgage.save()
def load_foreclosures(forc_file, verbose = False):
with open(forc_file,'r') as f:
reader = csv.reader(f, delimiter="\t")
reader.next()
skip_lookup = False
if Foreclosure.objects.count() == 0
skip_lookup = True
for row in reader:
pin = '{:0>14}'.format(int(Decimal(row[1])))
filing_date = spss_to_posix(row[2])
try: case_num1 = int(row[3])
except: case_num1 = None
try: case_num2 = row[4].strip()
except: case_num2 = None
try: case_num3 = float(row[5])
except: case_num3 = None
defendant_first_name = row[6].strip()
defendant_last_name = row[7].strip()
plaintiff = row[8].strip()
try: yq_doc = int(row[9])
except: yq_doc = None
try: yeard = int(row[10])
except: yeard = None
apt = row[11].strip()
direction = row[12].strip()
houseno = row[13].strip()
street = row[14].strip()
suffix = row[15].strip()
addr_final = row[16].strip()
city_final = row[17].strip()
try: lat_y = float(row[18])
except: lat_y = None
try: long_x = float(row[19])
except: long_x = None
try: tract_fix = float(row[20])
except: tract_fix = None
no_tract_info = True if int(row[21])==1 else False
try: ca_num = int(row[22])
except: ca_num = None
ca_name = row[23].strip()
place = row[24].strip()
gisdate = row[25].strip()
try: ptype_id = int(row[26])
except: ptype_id = None
try: residential = int(row[27])
except: residential = None
try: adj_yq = int(row[28])
except: adj_yq = None
try: adj_yd = int(row[29])
except: adj_yd = None
loc = None if row[18]=='' else Point((Decimal(row[19]), Decimal(row[18])),srid=4326).transform(3435)
try:
if skip_lookup:
raise Exception('no lookup')
forc = Foreclosure.objects.get(\
pin = pin\
,filing_date = filing_date\
,case_num1 = case_num1\
,case_num2 = case_num2\
,case_num3 = case_num3\
,defendant_first_name = defendant_first_name\
,defendant_last_name = defendant_last_name\
,plaintiff = plaintiff\
,yq_doc = yq_doc\
,yeard = yeard\
,apt = apt\
,direction = direction\
,houseno = houseno\
,street = street\
,suffix = suffix\
,addr_final = addr_final\
,city_final = city_final\
,lat_y = lat_y\
,long_x = long_x\
,tract_fix = tract_fix\
,no_tract_info = no_tract_info\
,ca_num = ca_num\
,ca_name = ca_name\
,place = place\
,gisdate = gisdate\
,ptype_id = ptype_id\
,residential = residential\
,adj_yq = adj_yq\
,adj_yd = adj_yd\
,loc = loc\
)
except:
forc = Foreclosure(\
pin = pin\
,filing_date = filing_date\
,case_num1 = case_num1\
,case_num2 = case_num2\
,case_num3 = case_num3\
,defendant_first_name = defendant_first_name\
,defendant_last_name = defendant_last_name\
,plaintiff = plaintiff\
,yq_doc = yq_doc\
,yeard = yeard\
,apt = apt\
,direction = direction\
,houseno = houseno\
,street = street\
,suffix = suffix\
,addr_final = addr_final\
,city_final = city_final\
,lat_y = lat_y\
,long_x = long_x\
,tract_fix = tract_fix\
,no_tract_info = no_tract_info\
,ca_num = ca_num\
,ca_name = ca_name\
,place = place\
,gisdate = gisdate\
,ptype_id = ptype_id\
,residential = residential\
,adj_yq = adj_yq\
,adj_yd = adj_yd\
,loc = loc\
)
forc.save()
def load_transactions(transaction_file, verbose = False):
with open(transaction_file,'r') as f:
reader = csv.reader(f, delimiter="\t")
reader.next()
skip_lookup = False
if Transaction.objects.count() == 0:
skip_lookup = True
for row in reader:
try: amount_prime = float(row[2])
except: amount_prime = None
doc = row[3].strip()
date_doc = spss_to_posix(row[4])
date_rec = spss_to_posix(row[5])
buyer = row[6].strip()
buyer_type = row[7].strip()
seller = row[8].strip()
seller_type = row[9].strip()
try: non_condo = int(row[10])
except: non_condo = None
try: purchase_less_20k = int(row[11])
except: purchase_less_20k = None
try: business_buyer = int(row[12])
except: business_buyer = None
try: yq_doc = int(row[13])
except: yq_doc = None
try: yeard = int(row[14])
except: yeard = None
apt = row[15].strip()
direction = row[16].strip()
houseno = row[17].strip()
street = row[18].strip()
suffix = row[19].strip()
addr_final = row[20].strip()
city_final = row[21].strip()
try: lat_y = float(row[22])
except: lat_y = None
try: long_x = float(row[23])
except: long_x = None
try: tract_fix = float(row[24])
except: tract_fix = None
no_tract_info = True if int(row[25])==1 else False
try: ca_num = int(row[26])
except: ca_num = None
ca_name = row[27].strip()
place = row[28].strip()
gisdate = row[29].strip()
try: ptype_id = int(row[30])
except: ptype_id = None
try: residential = int(row[31])
except: residential = None
try: adj_yq = int(row[32])
except: adj_yq = None
try: adj_yd = int(row[33])
except: adj_yd = None
loc = None if row[22]=='' else Point((Decimal(row[23]), Decimal(row[22])),srid=4326).transform(3435)
try:
if skip_lookup:
raise Exception('no lookup')
transaction = Transaction.objects.get(\
pin = pin\
,amount_prime = amount_prime\
,doc = doc\
,date_doc = date_doc\
,date_rec = date_rec\
,buyer = buyer\
,buyer_type = buyer_type\
,seller = seller\
,seller_type = seller_type\
,non_condo = non_condo\
,purchase_less_20k = purchase_less_20k\
,business_buyer = business_buyer\
,yq_doc = yq_doc\
,yeard = yeard\
,apt = apt\
,direction = direction\
,houseno = houseno\
,street = street\
,suffix = suffix\
,addr_final = addr_final\
,city_final = city_final\
,lat_y = lat_y\
,long_x = long_x\
,tract_fix = tract_fix\
,no_tract_info = no_tract_info\
,ca_num = ca_num\
,ca_name = ca_name\
,place = place\
,gisdate = gisdate\
,ptype_id = ptype_id\
,residential = residential\
,adj_yq = adj_yq\
,adj_yd = adj_yd\
,loc = loc\
)
except:
transaction = Transaction(\
pin = pin\
,amount_prime = amount_prime\
,doc = doc\
,date_doc = date_doc\
,date_rec = date_rec\
,buyer = buyer\
,buyer_type = buyer_type\
,seller = seller\
,seller_type = seller_type\
,non_condo = non_condo\
,purchase_less_20k = purchase_less_20k\
,business_buyer = business_buyer\
,yq_doc = yq_doc\
,yeard = yeard\
,apt = apt\
,direction = direction\
,houseno = houseno\
,street = street\
,suffix = suffix\
,addr_final = addr_final\
,city_final = city_final\
,lat_y = lat_y\
,long_x = long_x\
,tract_fix = tract_fix\
,no_tract_info = no_tract_info\
,ca_num = ca_num\
,ca_name = ca_name\
,place = place\
,gisdate = gisdate\
,ptype_id = ptype_id\
,residential = residential\
,adj_yq = adj_yq\
,adj_yd = adj_yd\
,loc = loc\
)
transaction.save()
def load_cashfin(cashfin_file, verbose = False):
with open(cashfin_file,'r') as f:
reader = csv.reader(f, delimiter="\t")
reader.next()
skip_lookup = False
if CashFin.objects.count() == 0:
skip_lookup = True
for row in reader:
pin = '{:0>14}'.format(int(Decimal(row[1])))
doc = row[2]
date_doc = spss_to_posix(row[3])
date_rec = spss_to_posix(row[4])
try: year = int(row[5])
except: year = None
try: amount_prime = float(row[6])
except: amount_prime = None
likely_distressed = True if int(row[7])==1 else False
likely_cash = True if int(row[8])==1 else False
buyer = row[9].strip()
buyer_type = row[10].strip()
seller = row[11].strip()
seller_type = row[12].strip()
apt = row[13].strip()
direction = row[14].strip()
houseno = row[15].strip()
street = row[16].strip()
suffix = row[17].strip()
addr_final = row[18].strip()
city_final = row[19].strip()
try: lat_y = float(row[20])
except: lat_y = None
try: long_x = float(row[21])
except: long_x = None
try: tract_fix = float(row[22])
except: tract_fix = None
no_tract_info = True if int(row[23])==1 else False
try: ca_num = int(row[24])
except: ca_num = None
ca_name = row[25].strip()
place = row[26].strip()
gisdate = row[27].strip()
try: ptype_id = int(row[28])
except: ptype_id = None
try: residential = int(row[29])
except: residential = None
loc = None if row[20]=='' else Point((Decimal(row[21]), Decimal(row[20])))
try:
if skip_lookup:
raise Exception('no lookup')
cashfin = CashFin.objects.get(\
pin = pin\
,doc = doc\
,date_doc = date_doc\
,date_rec = date_rec\
,year = year\
,amount_prime = amount_prime\
,likely_distressed = likely_distressed\
,likely_cash = likely_cash\
,buyer = buyer\
,buyer_type = buyer_type\
,seller = seller\
,seller_type = seller_type\
,apt = apt\
,direction = direction\
,houseno = houseno\
,street = street\
,suffix = suffix\
,addr_final = addr_final\
,city_final = city_final\
,lat_y = lat_y\
,long_x = long_x\
,tract_fix = tract_fix\
,no_tract_info = no_tract_info\
,ca_num = ca_num\
,ca_name = ca_name\
,place = place\
,gisdate = gisdate\
,ptype_id = ptype_id\
,residential = residential\
,loc = loc\
)
except:
cashfin = CashFin(\
pin = pin\
,doc = doc\
,date_doc = date_doc\
,date_rec = date_rec\
,year = year\
,amount_prime = amount_prime\
,likely_distressed = likely_distressed\
,likely_cash = likely_cash\
,buyer = buyer\
,buyer_type = buyer_type\
,seller = seller\
,seller_type = seller_type\
,apt = apt\
,direction = direction\
,houseno = houseno\
,street = street\
,suffix = suffix\
,addr_final = addr_final\
,city_final = city_final\
,lat_y = lat_y\
,long_x = long_x\
,tract_fix = tract_fix\
,no_tract_info = no_tract_info\
,ca_num = ca_num\
,ca_name = ca_name\
,place = place\
,gisdate = gisdate\
,ptype_id = ptype_id\
,residential = residential\
,loc = loc\
)
cashfin.save()
def load_cashfin(cashfin_file, verbose=False):
with open(cashfin_file, 'r') as f:
reader = csv.reader(f, delimiter="\t")
reader.next()
skip_lookup = False
if CashFin.objects.count() == 0:
skip_lookup = True
for row in reader:
pin = '{:0>14}'.format(int(Decimal(row[1])))
doc = row[2]
date_doc = spss_to_posix(row[3])
date_rec = spss_to_posix(row[4])
try:
year = int(row[5])
except:
year = None
try:
amount_prime = float(row[6])
except:
amount_prime = None
likely_distressed = True if int(row[7]) == 1 else False
likely_cash = True if int(row[8]) == 1 else False
buyer = row[9].strip()
buyer_type = row[10].strip()
seller = row[11].strip()
seller_type = row[12].strip()
apt = row[13].strip()
direction = row[14].strip()
houseno = row[15].strip()
street = row[16].strip()
suffix = row[17].strip()
addr_final = row[18].strip()
city_final = row[19].strip()
try:
lat_y = float(row[20])
except:
lat_y = None
try:
long_x = float(row[21])
except:
long_x = None
try:
tract_fix = float(row[22])
except:
tract_fix = None
no_tract_info = True if int(row[23]) == 1 else False
try:
ca_num = int(row[24])
except:
ca_num = None
ca_name = row[25].strip()
place = row[26].strip()
gisdate = row[27].strip()
try:
ptype_id = int(row[28])
except:
ptype_id = None
try:
residential = int(row[29])
except:
residential = None
loc = None if row[20] == '' else Point(
(Decimal(row[21]), Decimal(row[20])))
try:
if skip_lookup:
raise Exception('no lookup')
cashfin = CashFin.objects.get(\
pin = pin\
,doc = doc\
,date_doc = date_doc\
,date_rec = date_rec\
,year = year\
,amount_prime = amount_prime\
,likely_distressed = likely_distressed\
,likely_cash = likely_cash\
,buyer = buyer\
,buyer_type = buyer_type\
,seller = seller\
,seller_type = seller_type\
,apt = apt\
,direction = direction\
,houseno = houseno\
,street = street\
,suffix = suffix\
,addr_final = addr_final\
,city_final = city_final\
,lat_y = lat_y\
,long_x = long_x\
,tract_fix = tract_fix\
,no_tract_info = no_tract_info\
,ca_num = ca_num\
,ca_name = ca_name\
,place = place\
,gisdate = gisdate\
,ptype_id = ptype_id\
,residential = residential\
,loc = loc\
)
except:
cashfin = CashFin(\
pin = pin\
,doc = doc\
,date_doc = date_doc\
,date_rec = date_rec\
,year = year\
,amount_prime = amount_prime\
,likely_distressed = likely_distressed\
,likely_cash = likely_cash\
,buyer = buyer\
,buyer_type = buyer_type\
,seller = seller\
,seller_type = seller_type\
,apt = apt\
,direction = direction\
,houseno = houseno\
,street = street\
,suffix = suffix\
,addr_final = addr_final\
,city_final = city_final\
,lat_y = lat_y\
,long_x = long_x\
,tract_fix = tract_fix\
,no_tract_info = no_tract_info\
,ca_num = ca_num\
,ca_name = ca_name\
,place = place\
,gisdate = gisdate\
,ptype_id = ptype_id\
,residential = residential\
,loc = loc\
)
cashfin.save()
def load_auctions(auction_file, verbose=False):
with open(auction_file, "r") as f:
reader = csv.reader(f, delimiter="\t")
reader.next()
skip_lookup = False
if Auction.objects.count() == 0:
skip_lookup = True
for row in reader:
pin = "{:0>14}".format(int(Decimal(row[1])))
doc = row[2].strip()
date_doc = spss_to_posix(row[3])
date_rec = spss_to_posix(row[4])
reo = True if int(row[5]) == 1 else False
buyer = row[6].strip()
buyer_type = row[7].strip()
seller = row[8].strip()
seller_type = row[9].strip()
try:
yq_doc = int(row[10])
except:
yq_doc = None
try:
yeard = int(row[11])
except:
yeard = None
apt = row[12].strip()
direction = row[13].strip()
houseno = row[14].strip()
street = row[15].strip()
suffix = row[16].strip()
addr_final = row[17].strip()
city_final = row[18].strip()
try:
lat_y = float(row[19])
except:
lat_y = None
try:
long_x = float(row[20])
except:
long_x = None
try:
tract_fix = float(row[21])
except:
tract_fix = None
no_tract_info = True if int(row[22]) == 1 else False
try:
ca_num = row[23]
except:
ca_num = None
ca_name = row[24].strip()
place = row[25].strip()
gisdate = row[26].strip()
try:
ptype_id = int(row[27])
except:
ptype_id = None
try:
residential = int(row[28])
except:
residential = None
try:
adj_yq = int(row[29])
except:
adj_yq = None
try:
adj_yd = int(row[30])
except:
adj_yd = None
loc = None if row[19] == "" else Point((Decimal(row[20]), Decimal(row[19])))
try:
if skip_lookup:
raise Exception("no lookup")
auction = Auction.objects.get(
pin=pin,
doc=doc,
date_doc=date_doc,
date_rec=date_rec,
reo=reo,
buyer=buyer,
buyer_type=buyer_type,
seller=seller,
seller_type=seller_type,
yq_doc=yq_doc,
yeard=yeard,
apt=apt,
direction=direction,
houseno=houseno,
street=street,
suffix=suffix,
addr_final=addr_final,
city_final=city_final,
lat_y=lat_y,
long_x=long_x,
tract_fix=tract_fix,
no_tract_info=no_tract_info,
ca_num=ca_num,
ca_name=ca_name,
place=place,
gisdate=gisdate,
ptype_id=ptype_id,
residential=residential,
adj_yq=adj_yq,
adj_yd=adj_yd,
loc=loc,
)
except:
auction = Auction(
pin=pin,
doc=doc,
date_doc=date_doc,
date_rec=date_rec,
reo=reo,
buyer=buyer,
buyer_type=buyer_type,
seller=seller,
seller_type=seller_type,
yq_doc=yq_doc,
yeard=yeard,
apt=apt,
direction=direction,
houseno=houseno,
street=street,
suffix=suffix,
addr_final=addr_final,
city_final=city_final,
lat_y=lat_y,
long_x=long_x,
tract_fix=tract_fix,
no_tract_info=no_tract_info,
ca_num=ca_num,
ca_name=ca_name,
place=place,
gisdate=gisdate,
ptype_id=ptype_id,
residential=residential,
adj_yq=adj_yq,
adj_yd=adj_yd,
loc=loc,
)
auction.save()