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path: root/python/load_intex_collateral.py
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import psycopg2
import os.path
import re
import csv
from datetime import date, datetime
import pdb
import common

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

def get_latest_dealupdate(workdate):
    with open(os.path.join(common.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']}
    return deal_table

def upload_data(workdate, conn, cursor):
    for dealname in os.listdir(os.path.join(common.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(common.root, "data", "Collaterals_" + workdate, dealname), "r") as fh:
            dr = csv.DictReader(fh, fieldnames = fields, dialect = 'excel-tab')
            dealname = dealname.split(',')[0].lower()
            data = []
            for line in dr:
                if line['Fixed or Float']:
                    line['Fixed or Float'] = line['Fixed or Float'].upper()
                if line['LoanX ID'] 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])

                r = [convertToNone(line[field]) for field in dr.fieldnames]
                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()]

        deal_table = get_latest_dealupdate(workdate)
        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()

if __name__ == "__main__":
    if len(sys.argv) > 1:
        workdate = sys.argv[1]
    else:
        workdate = str(datetime.date.today())
    upload_data(workdate, common.conn, common.cursor)
    common.cursor.close()
    common.conn.close()
    print "done"