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import pandas as pd
import re
from pathlib import Path
import pdb
from download_emails import update_emails
import datetime
import sys
def makedf(r, indextype):
if indextype=='IG':
cols = ['strike', 'rec_bid', 'rec_offer', 'delta_rec', 'pay_bid',
'pay_offer', 'delta_pay', 'vol', 'gamma']
else:
cols = ['strike', 'rec_bid', 'rec_offer', 'delta_rec', 'pay_bid',
'pay_offer', 'delta_pay', 'vol', 'price_vol', 'gamma']
df = pd.DataFrame.from_records(r, columns = cols)
for col in ['delta_rec', 'delta_pay', 'vol', 'price_vol', 'gamma']:
if col in df:
df[col] = df[col].str.strip("%").astype('float')/100
for k in df:
if df.dtypes[k] == 'object':
try:
df[k] = pd.to_numeric(df[k])
except ValueError:
pdb.set_trace()
df.set_index('strike', inplace=True)
return df
def parse_email(email_path):
with email_path.open("rb") as fh:
date_received = datetime.datetime.fromtimestamp(int(fh.readline())/1000)
subject = fh.readline()
m = re.match("(?:Fwd:){0,2}(?:BAML )?(\w{2})([0-9]{1,2})\s", subject.decode('utf-8'))
if m:
indextype, series = m.groups()
series = int(series)
else:
raise RuntimeError("can't parse subject line: {0} for email {1}".format(
subject.decode("utf-8"), email_path.name))
flag = False
option_stack = {}
fwd_index = []
for line in fh:
line = line.decode('utf-8', 'ignore')
line = line.rstrip()
if line.startswith("At"):
for p in ['%m/%d %H:%M:%S', '%b %d %Y %H:%M:%S']:
try:
quotedate = pd.to_datetime(line, format=p, exact=False)
except ValueError:
continue
else:
if quotedate.year == 1900:
quotedate = quotedate.replace(year=date_received.year)
break
else:
raise RuntimeError("can't parse date")
if line.startswith("Ref"):
regex = "Ref:(?P<ref>\S+)\s+(?:Fwd Px:(?P<fwdprice>\S+)\s+)?" \
"Fwd(?: Spd)?:(?P<fwdspread>\S+)\s+Fwd Bpv:(?P<fwdbpv>\S+)" \
"\s+Expiry:(?P<expiry>\S+)"
m = re.match(regex, line)
try:
d = m.groupdict()
d['quotedate'] = quotedate
d['index'] = indextype
d['series'] = series
d['expiry'] = pd.to_datetime(d['expiry'], format='%d-%b-%y')
except AttributeError:
print("something wrong with {0}".format(email_path.name))
continue
if line.startswith("Strike"):
flag = True
r = []
continue
if flag:
if line:
line = re.sub("[/|]", " ", line)
vals = re.sub(" +", " ", line).rstrip().split(" ")
r.append(vals)
continue
else:
option_stack[d['expiry']] = makedf(r, indextype)
fwd_index.append(d)
flag = False
r = []
continue
if flag:
option_stack[d['expiry']] = makedf(r, indextype)
fwd_index.append(d)
if option_stack:
fwd_index = pd.DataFrame.from_records(fwd_index,
index='quotedate')
return (quotedate, indextype, series), option_stack, fwd_index
else:
raise RuntimeError("empty email: {0}".format(email_path.name))
if __name__=="__main__":
import pickle
update_emails()
emails = [f for f in Path("../../data/swaptions").iterdir() if f.is_file()]
swaption_stack = {}
index_data = pd.DataFrame()
with open(".pickle", "rb") as fh:
already_uploaded = pickle.load(fh)
for f in emails:
if f.name in already_uploaded:
continue
else:
already_uploaded.add(f.name)
try:
key, option_stack, fwd_index = parse_email(f)
except RuntimeError as e:
print(e)
else:
swaption_stack[key] = pd.concat(option_stack, names=['expiry', 'strike'])
index_data = index_data.append(fwd_index)
if index_data.empty:
sys.exit()
for col in ['fwdbpv', 'fwdprice', 'fwdspread', 'ref']:
index_data[col] = index_data[col].astype('float')
index_data['index'] = index_data['index'].astype('category')
swaption_stack = pd.concat(swaption_stack, names=['quotedate', 'index', 'series'])
import feather
feather.write_dataframe(swaption_stack, '../../data/swaptions.fth')
feather.write_dataframe(index_data, '../../data/index_data.fth')
swaption_stack = swaption_stack.drop_duplicates()
swaption_stack = swaption_stack.reset_index()
index_data = index_data.drop_duplicates()
from db import dbengine
serenitasdb = dbengine('serenitasdb')
from sqlalchemy import MetaData, Table
meta = MetaData(bind=serenitasdb)
swaption_quotes = Table('swaption_quotes', meta, autoload=True)
ins = swaption_quotes.insert().values(swaption_stack.to_dict(orient='records')).execute()
index_data.to_sql('swaption_ref_quotes', serenitasdb, if_exists='append')
with open(".pickle", "wb") as fh:
pickle.dump(already_uploaded, fh)
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