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-rw-r--r--python/external_deriv_marks.py30
1 files changed, 18 insertions, 12 deletions
diff --git a/python/external_deriv_marks.py b/python/external_deriv_marks.py
index 08d3418f..12cf9b41 100644
--- a/python/external_deriv_marks.py
+++ b/python/external_deriv_marks.py
@@ -7,17 +7,17 @@ from pathlib import Path
DAILY_DIR = Path(os.environ["DAILY_DIR"])
+
def gs_navs():
d = {}
for fname in (DAILY_DIR / "GS_reports").glob("Trade_Detail*.xls"):
try:
- df = pd.read_excel(fname, skiprows=9, skipfooter=77,
- index_col='Trade Id')
+ df = pd.read_excel(fname, skiprows=9, skipfooter=77, index_col="Trade Id")
except ValueError:
continue
- df['Trade Date'] = pd.to_datetime(df['Trade Date'])
- df = df[['Trade Date', 'Buy/Sell', 'Notional (USD)', 'NPV (USD)']]
- df.columns = ['trade_date', 'buy/sell', 'notional', 'nav']
+ df["Trade Date"] = pd.to_datetime(df["Trade Date"])
+ df = df[["Trade Date", "Buy/Sell", "Notional (USD)", "NPV (USD)"]]
+ df.columns = ["trade_date", "buy/sell", "notional", "nav"]
name = fname.name.replace("9972734", "")
m = re.match(r"[^\d]*(\d{2}_.{3}_\d{4})", name)
if m:
@@ -30,10 +30,12 @@ def gs_navs():
def ms_navs():
d = {}
for fname in (DAILY_DIR / "MS_reports").glob("Trade_Detail*.xls"):
- df = pd.read_excel(fname, index_col='trade_id')
+ df = pd.read_excel(fname, index_col="trade_id")
df.trade_date = pd.to_datetime(df.trade_date)
- df = df[['trade_date', 'pay_rec', 'notional_in_trade_ccy', 'exposure_in_rpt_ccy']]
- df.columns = ['trade_date', 'buy/sell', 'notional', 'nav']
+ df = df[
+ ["trade_date", "pay_rec", "notional_in_trade_ccy", "exposure_in_rpt_ccy"]
+ ]
+ df.columns = ["trade_date", "buy/sell", "notional", "nav"]
m = re.match(r"[^\d]*(\d{8})", fname.name)
if m:
date_string, = m.groups()
@@ -41,11 +43,15 @@ def ms_navs():
d[date] = df
return pd.concat(d)
+
if __name__ == "__main__":
for cp in ["MS", "GS"]:
df = globals()[f"{cp.lower()}_navs"]()
- with dbconn('dawndb') as conn:
+ with dbconn("dawndb") as conn:
with conn.cursor() as c:
- for k, v in df[['nav']].iterrows():
- c.execute("INSERT INTO external_marks_deriv "
- "VALUES(%s, %s, %s, %s) ON CONFLICT DO NOTHING", (*k, float(v), cp))
+ for k, v in df[["nav"]].iterrows():
+ c.execute(
+ "INSERT INTO external_marks_deriv "
+ "VALUES(%s, %s, %s, %s) ON CONFLICT DO NOTHING",
+ (*k, float(v), cp),
+ )