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import psycopg2
import os.path
import re
import csv
from datetime import date, datetime
import pdb
if os.name=='nt':
root = "//WDSENTINEL/share/CorpCDOs/"
elif os.name=='posix':
root = "/home/share/CorpCDOs/"
fields = ['Asset Name', 'Issuer', 'Contributed Balance', 'Maturity Date', 'Asset Subtype', \
'Asset Type', 'Gross Coupon', 'Spread', 'Frequency', 'Next Paydate', 'Second Lien', \
'LoanX ID', 'CUSIP', 'Market Price', 'Market Price Source', 'Price Date', 'Fixed or Float', \
'Defaulted Flag', 'Security Sub-Category', 'Structured Finance Security']
def convertToNone(s):
return None if s=='' else s
def sanitize_float(intex_float):
intex_float = intex_float.replace(",", "")
if "(" in intex_float:
intex_float = - float(intex_float[1:-1])
else:
intex_float = float(intex_float)
return intex_float
conn = psycopg2.connect(database="ET", user="et_user", password="Serenitas1", host="192.168.1.108")
cursor = conn.cursor()
workdate = "2013-01-04"
with open(os.path.join(root, "data", "clo_universe_intex_" + workdate + ".txt")) as fh:
dr = csv.DictReader(fh, dialect='excel-tab')
deal_table = {line['Deal,Tr/CUSIP/ISIN']: datetime.strptime(line['Latest Update'], '%b %d, %Y').date() \
for line in dr if 'Paid' not in line['Latest Update']}
for dealname in os.listdir(os.path.join(root, "data", "Collaterals_" + workdate)):
#dealname, updatedate = line.rstrip().split()
# updatedate = datetime.datetime.strptime(updatedate, '%m/%d/%Y')
#dealname = dealname.upper() + ",AD.txt"
with open( os.path.join(root, "data", "Collaterals_" + workdate, dealname), "r") as fh:
dr = csv.DictReader(fh, dialect = 'excel-tab')
dealname , ending = dealname.split(',')
dealname = dealname.lower()
data = []
for line in dr:
missingfields = set(fields) - set(dr.fieldnames)
for field in missingfields:
line[field] = None
if line['Fixed or Float']:
line['Fixed or Float'] = line['Fixed or Float'].upper()
if 'LoanX ID' in dr.fieldnames and len(line['LoanX ID']) >8:
print "dubious id found: {0}".format(line['LoanX ID'])
line['LoanX ID'] = line['LoanX ID'][:8]
try:
# make sure the string is utf8 safe
line['Issuer']= line['Issuer'].decode('windows-1252')
if line['Issuer']=='' or line['Issuer'].lower() == 'dummy':
break
except AttributeError as detail:
print dealname
for field in ['Spread', 'Gross Coupon', 'Market Price', 'Contributed Balance']:
if line[field]:
line[field] = sanitize_float(line[field])
try:
r = [convertToNone(line[field]) for field in fields]
except KeyError as detail:
print detail
pdb.set_trace()
data.append(r)
cursor.execute( "select distinct(updatedate) from et_collateral where dealname='{0}'".format(dealname))
old_update_dates = [date[0] for date in cursor.fetchall()]
try:
updatedate = deal_table[dealname]
except KeyError as detail:
print detail
pdb.set_trace()
reinsert = False
if updatedate in old_update_dates:
sqlstr = "SELECT count(*) FROM et_collateral where dealname = %s and updatedate= %s"
cursor.execute(sqlstr, (dealname, updatedate))
currlen = cursor.fetchone()[0]
if currlen <> len(data):
print "{0} has {1} rows in the database and current collateral file has {2}".format(dealname, currlen, len(data))
sqlstr = "DELETE FROM et_collateral where dealname = %s and updatedate = %s"
cursor.execute(sqlstr, (dealname, updatedate))
conn.commit()
reinsert = True
if reinsert or not old_update_dates or updatedate not in old_update_dates:
tag = 0
for row in data:
# print dealname, row
sql_fields = ["dealname", "updatedate", "name", "IssuerName", "CurrentBalance",
"Maturity", "AssetSubtype", "AssetType", "GrossCoupon",
"Spread", "Frequency", "NextPaydate", "SecondLien", "LoanXID",
"Cusip", "IntexPrice", "IntexPriceSource", "IntexPriceDate",
"FixedOrFloat", "DefaultedFlag", "CovLite", "isCDO"]
sqlstr = "INSERT INTO ET_COLLATERAL({0}) VALUES({1})".format(",".join(sql_fields),
",".join(["%s"] * len(sql_fields)))
try:
cursor.execute(sqlstr, (dealname, updatedate) + tuple(row))
except psycopg2.DataError as detail:
print detail
pdb.set_trace()
except psycopg2.IntegrityError as detail:
print detail
# crazy hack intex unique id is not really unique
conn.rollback()
# make sure the loan name is unique by tagging it
row[0] = row[0] + "_tag_" + str(tag)
tag = tag+1
cursor.execute(sqlstr, (dealname, updatedate) + tuple(row))
conn.commit()
cursor.close()
conn.close()
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