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-rw-r--r--python/Dawn/utils.py51
1 files changed, 45 insertions, 6 deletions
diff --git a/python/Dawn/utils.py b/python/Dawn/utils.py
index 99451080..2ce8beb8 100644
--- a/python/Dawn/utils.py
+++ b/python/Dawn/utils.py
@@ -23,9 +23,9 @@ def load_counterparties(engine):
'Valuation Note': 'notes'}, inplace=True)
counterparties.to_sql('counterparties', engine, if_exists='append', index=False)
-def load_trades(engine):
- blotter = pd.read_excel("/home/share/Daily/blotter.xlsm", 'Bonds',
- skiprows = [0, 1, 2, 3, 4])
+def load_trades(engine, schema=None):
+ blotter = pd.read_excel("/home/serenitas/Daily/Blotter.xlsm", 'Bonds',
+ skiprows=[0, 1, 2, 3, 4])
blotter.dropna(axis=0, subset=['Deal ID'], inplace=True)
blotter = blotter.iloc[:,2:]
blotter.drop(['Unnamed: %s' % (i,) for i in range(19, 28)] +
@@ -50,9 +50,43 @@ def load_trades(engine):
blotter['cashaccount'] = 'V0NSCLMAMB'
blotter['id'] = blotter['id'].str.replace('[A-Z_]', '').astype('int')
blotter.loc[blotter.asset_class == 'CLO','id'] = blotter.loc[blotter.asset_class == 'CLO','id'] + 5
- blotter.to_sql('bonds', engine, if_exists='append', index=False)
+ blotter.to_sql('bonds', engine, if_exists='append', index=False, schema=schema)
return blotter
+def load_trades_futures(engine, schema=None):
+ blotter = pd.read_excel("/home/serenitas/Daily/Blotter.xlsm", 'Futures',
+ skiprows=[0, 1, 2, 3, 4])
+ blotter.dropna(axis=0, subset=['Deal ID'], inplace=True)
+ blotter = blotter.iloc[:,2:]
+ blotter.drop(['Unnamed: %s' % (i,) for i in range(25, 27)] + \
+ ['Deal Type', 'Asset Class', 'Initial Margin Currency', 'Client', 'State'],
+ axis=1, inplace=True)
+ blotter.rename(columns = {'Trade Date': 'trade_date',
+ 'Settlement Date': 'settle_date',
+ 'Cash Account': 'cashaccount',
+ 'Strategy': 'folder',
+ 'Quantity': 'quantity',
+ 'Commission': 'commission',
+ 'CP Alias': 'cp_code',
+ 'Description': 'security_desc',
+ 'Buy/Sell': 'buysell',
+ 'Price': 'price',
+ 'Deal ID': 'id',
+ 'Exchange': 'exchange',
+ 'Ticker': 'bbg_ticker',
+ 'Maturity': 'maturity',
+ 'Action': 'action',
+ 'Custodian': 'custodian',
+ 'Trade Currency': 'currency',
+ 'Swap Type': 'swap_type',
+ 'Counterparty': 'cp_code'}, inplace=True)
+ blotter.buysell = blotter.buysell.apply(lambda x: x=='Buy')
+ blotter['action'] = 'NEW'
+ blotter['cashaccount'] = 'IANSCLMAFU'
+ blotter['swap_type'] = 'FUTURE'
+ blotter['id'] = blotter['id'].str.replace('[A-Z_]', '').astype('int')
+ blotter.to_sql('futures', engine, if_exists='append', index=False, schema=schema)
+ return blotter
def bump_rev(filename):
pattern = "([^r]*)(\srev(\d)|).pdf"
@@ -64,5 +98,10 @@ def simple_serialize(obj):
return dumps({c.name: getattr(obj, c.name) for c in obj.__table__.columns})
if __name__=="__main__":
- engine = create_engine('postgresql://dawn_user@debian/dawndb')
- load_trades(engine)
+ qa = False
+ if qa:
+ engine = create_engine('postgresql://qa@debian/dawndb')
+ load_trades_futures(engine, 'qa')
+ else:
+ engine = create_engine('postgresql://dawn_user@debian/dawndb')
+ load_trades_futures(engine)