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path: root/python/intex_scenarios.py
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import os
import os.path
import datetime
from datetime import date
import csv
from csv import reader
import json
import codecs
import re
import psycopg2
from datetime import datetime

if os.name =='nt':
    root = "//WDsentinel/share/CorpCDOs"
elif os.name == 'posix':
    root = '/home/share/CorpCDOs'

input = os.path.join(root, "Scenarios", "prometheus.sss")

pattern11 = re.compile("(REINVEST\[)\w+(::REINV_TBA1\]\[DEAL,1\]=)(.*$)")
pattern12 = re.compile("(REINVEST\[)\w+(::REINV_TBA2\]\[DEAL,1\]=)(.*$)")
# reinv end date
pattern2 = re.compile("(STANDARD_VAR\[)\w+(::#REINV_END,\d+\]=)(\d*$)")
# reinvprices float
pattern3 = re.compile("(STANDARD_VAR\[)\w+(::#PRICE100_TBA1,\d+\]=)(.*$)")
# reinvprices fixed
pattern4 = re.compile("(STANDARD_VAR\[)\w+(::#PRICE100_TBA2,\d+\]=)(.*$)")
# reinv float percentage
pattern5 = re.compile("(STANDARD_VAR\[)\w+(::#REINVPCT_TBA1,\d+\]=)(.*$)")
# reinv fixed percentage
pattern6 = re.compile("(STANDARD_VAR\[)\w+(::#REINVPCT_TBA2,\d+\]=)(.*$)")
pattern7 = re.compile("GOLDL5")

reinvfloatpercentage = 85
reinvfixedpercentage = 15

conn = psycopg2.connect(database="ET",
                        user="et_user",
                        password="Serenitas1",
                        host="192.168.1.108")
cursor = conn.cursor()

# workdate = date.today().strftime('%Y-%m-%d')
workdate = '2013-01-16'

def get_reinv_assets(dealname):
    # collatdates = sorted([datetime.strptime(d.split("_")[1], "%Y-%m-%d").date()
    #                       for d in os.listdir(os.path.join(root, "data"))
    #                       if "Collaterals" in d], reverse=True)
    collatfolders = sorted([d for d in os.listdir(os.path.join(root, "data")) if "Collaterals" in d],
                           reverse = True)
    d = {'REINV_TBA1': None, 'REINV_TBA2': None}
    filename = dealname.upper() + ",AD.txt"
    for folder in collatfolders:
        if filename not in os.listdir(os.path.join(root, "data", folder)):
            continue
        else:
            with open(os.path.join(root, "data", folder, filename )) as fh:
                dr = csv.DictReader(fh, dialect = 'excel-tab')
                headers = dr.fieldnames
                for line in dr:
                    if line['ID Number'] == 'REINV_TBA1':
                        d['REINV_TBA1'] = line['Fixed or Float']
                    if line['ID Number'] == 'REINV_TBA2':
                        d['REINV_TBA2'] = line['Fixed or Float']
            return d

def convert_reinvtoperct(d):
    newd = {'REINV_TBA1': None, 'REINV_TBA2': None}
    if not d['REINV_TBA2']:
        newd['REINV_TBA1'] = 100
    if d['REINV_TBA1'] == d['REINV_TBA2']: # case when we have two float or two fixed assets
        newd['REINV_TBA1'] = 85
        newd['REINV_TBA2'] = 15
    elif d['REINV_TBA1'] == 'Float':
        newd['REINV_TBA1'] = reinvfloatpercentage
        newd['REINV_TBA2'] = reinvfixedpercentage
    elif d['REINV_TBA1'] == 'Fixed':
        newd['REINV_TBA1'] = reinvfixedpercentage
        newd['REINV_TBA2'] = reinvfloatpercentage
    return newd

for dealname in ["babs062", "harch2", "jerst", "aresvr", "babs071", "landmrk9", "carlg123", "trim6", "frasul2", "vent6", "cifc061b"]:
    cursor.execute('SELECT \"Reinv End Date\" from latest_clo_universe where dealname=%s', (dealname,))
    reinvenddate = cursor.fetchone()[0]
    if reinvenddate:
        reinvenddate = reinvenddate.strftime("%Y%m%d")
    else:
        print "missing reinvestment end date"
        pdb.set_trace()
    reinv_assets = get_reinv_assets(dealname)
    perct_reinv_assets = convert_reinvtoperct(reinv_assets)

    basedir = os.path.join(root, "Scenarios", "Intex curves_" + workdate)
    with open(os.path.join(basedir, "csv", dealname + "-reinvprices.csv"), "r") as fhreinv:
        floatreinvprices = fhreinv.readline().rstrip("\n").split(",")
        fixedreinvprices = fhreinv.readline().rstrip("\n").split(",")

    output = os.path.join(basedir, "sss", dealname + ".sss")
    if not os.path.exists(os.path.join(basedir, "sss")):
        os.makedirs(os.path.join(basedir, "sss"))
    cdrscenarios = os.path.join(basedir, "csv", dealname + "-cdr.csv")
    recoveryscenarios = os.path.join(basedir, "csv", dealname + "-recovery.csv")
    fh2 = open(output, "w")
    fhcdr = open(cdrscenarios, "r")
    fhrecovery = open(recoveryscenarios, "r")
    csvcdr = reader(fhcdr)
    csvrecovery = reader(fhrecovery)
    cdrline = csvcdr.next()
    cdrline = "\t".join(["{0:.3f}".format(float(cdr)) for cdr in cdrline]) +"\n"
    recoveryline = csvrecovery.next()
    recoveryline = "\t".join(["{0:.3f}".format(float(recovery)) for recovery in recoveryline]) + "\n"

    i=1
    with open(input) as fh:
        for line in fh:
            if "DEAL_NAME" in line:
                newline = "DEAL_NAME=" +  dealname.upper()
                fh2.write(newline)
                continue
            if pattern11.match(line):
                line = re.sub(pattern11, r"\1{0}\2", line).format(dealname.upper()).rstrip()
                if reinv_assets["REINV_TBA1"] == "Float":
                    line = line + "COUP_SPR=2.5|AMORT=Bullet|USE_REINVEST_PIP=1|MAT_DATE=84|\n"
                elif reinv_assets["REINV_TBA1"] == "Fixed":
                    line = line + "COUP_SPR=7|AMORT=Bullet|USE_REINVEST_PIP=1|MAT_DATE=84|\n"
                fh2.write(line)
                continue
            if pattern12.match(line):
                line = re.sub(pattern12, r"\1{0}\2", line).format(dealname.upper()).rstrip()
                if reinv_assets["REINV_TBA2"] == "Float":
                    line = line + "COUP_SPR=2.5|AMORT=Bullet|USE_REINVEST_PIP=1|MAT_DATE=84|\n"
                elif reinv_assets["REINV_TBA2"] == "Fixed":
                    line = line + "COUP_SPR=7|AMORT=Bullet|USE_REINVEST_PIP=1|MAT_DATE=84|\n"
                fh2.write(line)
                continue
            if pattern2.match(line):
                line = re.sub(pattern2, r"\1{0}\2{1}", line).format(dealname.upper(), reinvenddate)
                fh2.write(line)
                continue
            if pattern3.match(line):
                if reinv_assets['REINV_TBA1'] == 'Fixed':
                    line = re.sub(pattern3, r"\1{0}\2{1}", line).format(dealname.upper(), " ".join(fixedreinvprices))
                elif reinv_assets['REINV_TBA1'] == 'Float':
                    line = re.sub(pattern3, r"\1{0}\2{1}", line).format(dealname.upper(), " ".join(floatreinvprices))
                fh2.write(line)
                continue
            if pattern4.match(line):
                if reinv_assets['REINV_TBA2'] == 'Fixed':
                    line = re.sub(pattern4, r"\1{0}\2{1}", line).format(dealname.upper(), " ".join(fixedreinvprices))
                elif reinv_assets['REINV_TBA2'] == 'Float':
                    line = re.sub(pattern4, r"\1{0}\2{1}", line).format(dealname.upper(), " ".join(floatreinvprices))
                fh2.write(line)
                continue
            if pattern5.match(line):
                if reinv_assets['REINV_TBA1']:
                    line = re.sub(pattern5, r"\1{0}\2{1}", line).format(
                        dealname.upper(), perct_reinv_assets['REINV_TBA1'])
                fh2.write(line)
                continue
            if pattern6.match(line):
                if reinv_assets['REINV_TBA2']:
                    line = re.sub(pattern6, r"\1{0}\2{1}", line).format(
                        dealname.upper(), perct_reinv_assets['REINV_TBA2'])
                fh2.write(line)
                continue
            if pattern7.search(line):
                line = re.sub(pattern7, dealname.upper(), line)
                fh2.write(line)
                continue
            # if "STANDARD_VAR" in line:
            #     newline = "STANDARD_VAR[REINVEST_PRICE,1]=" + " ".join(reinvprices)
            #     fh2.write(newline)
            #     continue
            if "LOSS_RATE[DEAL,{0}]".format(i) in line:
                newcdrline = "LOSS_RATE[DEAL,{0}]=".format(i) + cdrline
                fh2.write(newcdrline)
                continue
            if "LOSS_SEVERITY[DEAL,{0}]".format(i) in line:
                newrecoveryline = "LOSS_SEVERITY[DEAL,{0}]=".format(i) + recoveryline
                fh2.write(newrecoveryline)
                i=i+1
                if i<=100:
                    cdrline = csvcdr.next()
                    cdrline = "\t".join(["{0:.3f}".format(float(cdr)) for cdr in cdrline]) + "\n"
                    recoveryline = csvrecovery.next()
                    recoveryline = "\t".join(["{0:.3f}".format(float(recovery)) \
                                                  for recovery in recoveryline]) + "\n"
                continue
            fh2.write(line)
    fh2.close()
    fhrecovery.close()
    fhcdr.close()
cursor.close()
conn.close()

# sed -i -e "s/\(LOSS_NONPERF_SEVERITY\\[DEAL,[0-9]*\\]\)=.*$/\1=mkt(70)/g" stonln1_100.sss