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from serenitas.utils.env import DAILY_DIR
from serenitas.utils.remote import SftpClient
import datetime
import pytz
from stat import S_ISREG
import csv
from process_queue import rename_keys
from serenitas.utils.db import dbconn
from collections import defaultdict

fund_dictionary = {"SERENITAS_CGMF": "SERCGMAST", "BOWDOINST": "BOWDST"}
fcm_dictionary = {"Bank of America, N.A.": "BAML", "Goldman Sachs": "GS"}
cdx_cp_dictionary = {
    "MSDU": "MSCSNY",
    "GSMX": "GOLDNY",
    "JPGP": "JPCBNY",
    "JFF": "JEFF",
    "BMLE": "BAMSNY",
    "BARX": "BARCNY",
    "CSDA": "CSFBBO",
    "EBNP": "BNPBNY",
    "WFCD": "WELFEI",
    "BSEF": "BSEONY",
    "JPOS": "JPCBNY",
    "CGCI": "CITINY",
}
bond_cp_dictionary = {
    "CG": "CITINY",
    "WFBS": "WELFEI",
    "MZZ": "MIZUNY",
    "BABS": "BAML",
    "PTRU": "PERFCH",
    "BARC": "BARCNY",
    "MS": "MORGNY",
    "BA": "BAML",
    "FB": "CSUINY",
    "INTC": "STONEX",
    "SOCG": "SGSANY",
    "NOM": "NOMINY",
    "JP": "JPCBNY",
    "BTIG": "BTIG",
}
sql_str_by_trade = {
    "CDX": "INSERT INTO cds (action, folder, cp_code, account_code, trade_date, effective_date, maturity, currency, payment_rolldate, notional, fixed_rate, day_count, frequency, protection, security_id, security_desc, upfront, upfront_settle_date, swap_type, clearing_facility, portfolio, fund) "
    "VALUES (%(action)s, %(folder)s, %(cp_code)s, %(account_code)s, %(trade_date)s, %(effective_date)s, %(maturity)s, %(currency)s, %(payment_rolldate)s, %(notional)s, %(fixed_rate)s, %(day_count)s, %(frequency)s, %(protection)s, %(security_id)s, %(security_desc)s, %(upfront)s, %(upfront_settle_date)s, %(swap_type)s, %(clearing_facility)s, %(portfolio)s, %(fund)s);",
    "BOND": "INSERT INTO bonds(folder, cp_code, trade_date, settle_date, cusip, identifier, description, buysell, faceamount, price, asset_class ) "
    "VALUES (%(folder)s, %(cp_code)s, %(trade_date)s, %(settle_date)s, %(cusip)s, %(identifier)s, %(description)s, %(buysell)s, %(faceamount)s, %(price)s, %(asset_class)s)",
}


def download_files(date):
    downloaded_files = []
    sftp = SftpClient.from_creds("bbg")
    dst = DAILY_DIR / f"{date:%Y-%m-%d}" / "bbg_tickets"
    if not dst.exists():
        dst.mkdir()
    est = pytz.timezone("US/Eastern")
    src = ""
    for f in sftp.client.listdir_iter():
        if S_ISREG(f.st_mode):
            local_file = dst / f.filename
            modification_time = datetime.datetime.fromtimestamp(
                f.st_mtime, tz=datetime.timezone.utc
            ).astimezone(est)
            if not local_file.exists() and (modification_time.date() == date):
                sftp.client.get(f"{src}/{f.filename}", localpath=local_file)
                downloaded_files.append(local_file)
    return downloaded_files


def get_bbg_data(bbg_id, trade_date, conn):
    try:
        _, indextype, _, series, tenor = bbg_id.split()
    except ValueError:
        return "not a valid bloomberg description", 400
    indextype = indextype[:2]
    tenor = tenor[:-1] + "yr"
    series = int(series[1:])
    sql_str = (
        "SELECT redindexcode, maturity, coupon "
        "FROM index_desc "
        "WHERE index=%s and series=%s and tenor=%s "
        "      and lastdate >=%s ORDER BY version"
    )
    with conn.cursor() as c:
        c.execute(sql_str, (indextype, series, tenor, trade_date))
        redcode, maturity, coupon = c.fetchone()
    return str(maturity), redcode, coupon / 100


def cdx_trade_process(reader, conn):
    trades = []
    for obj in reader:
        rename_keys(
            obj,
            {"Curncy": "currency", "Net": "upfront", "Quantity": "notional"},
        )
        obj["security_desc"] = obj["Security"].replace(" PRC", "")
        obj["trade_date"] = datetime.datetime.strptime(obj["Trade Dt"], "%m/%d/%Y")
        obj["upfront_settle_date"] = datetime.datetime.strptime(
            obj["SetDt"], "%m/%d/%Y"
        )
        obj["protection"] = "Buyer" if obj["Side"] == "B" else "Seller"
        obj["account_code"] = fcm_dictionary[obj["Client FCM"]]
        obj["fund"] = fund_dictionary[obj["Account"]]
        obj["action"] = "NEW"
        obj["folder"] = "*"
        obj["cp_code"] = cdx_cp_dictionary[obj["BrkrName"]]
        obj["payment_rolldate"] = "Following"
        obj["day_count"] = "ACT/360"
        obj["frequency"] = 4
        obj["swap_type"] = "CD_INDEX"
        obj["portfolio"] = "UNALLOCATED"
        obj["clearing_facility"] = "ICE-CREDIT"
        (
            obj["maturity"],
            obj["security_id"],
            obj["fixed_rate"],
        ) = get_bbg_data(obj["security_desc"], obj["trade_date"], conn)
        obj["effective_date"] = datetime.date(2021, 12, 20)
        trades.append(obj)
    return trades


def bond_trade_process(reader, conn):
    trades = []
    for obj in reader:
        if obj["Block Status"] != "Accepted":
            print(obj["Cusip"])
            continue
        rename_keys(
            obj,
            {"Quantity": "faceamount", "Price (Dec)": "price", "Cusip": "cusip"},
        )
        obj["buysell"] = True if obj["Side"] == "B" else False
        obj["description"] = obj["Security"].replace(" Mtge", "")
        obj["trade_date"] = datetime.datetime.strptime(obj["Trade Dt"], "%m/%d/%Y")
        obj["settle_date"] = datetime.datetime.strptime(obj["SetDt"], "%m/%d/%Y")
        obj["folder"] = None
        obj["cp_code"] = bond_cp_dictionary[obj["Brkr"]]
        obj["portfolio"] = "UNALLOCATED"
        obj["identifier"] = obj["cusip"]
        obj["asset_class"] = None
        trades.append(obj)
    return trades


def book_trades(date):
    conn = dbconn("dawndb")
    downloaded_files = download_files(date)
    bbg_trades = defaultdict(list)
    for f in downloaded_files:
        if ("CDX" in f.name) or ("BOND" in f.name):
            reader = csv.DictReader(open(f))
            if "CDX" in f.name:
                bbg_trades["CDX"].extend(cdx_trade_process(reader, conn))
            elif "BOND" in f.name:
                if "52377" in f.name:
                    continue
                bbg_trades["BOND"].extend(bond_trade_process(reader, conn))
        else:
            print(f.name, "NOT VALID")
    with conn.cursor() as c:
        for asset_type, trades in bbg_trades.items():
            c.executemany(sql_str_by_trade[asset_type], trades)
    conn.commit()


if __name__ == "__main__":
    book_trades(datetime.date(2022, 2, 8))