def get_carteras_fondos(date_anterior):
path_rf = ".\\Querys\\Bonos.sql"
path_if = ".\\Querys\\Depositos.sql"
query_rf = fs.read_file(path=path_rf).replace("AUTODATE", str(date_anterior))
query_if = fs.read_file(path=path_if).replace("AUTODATE", str(date_anterior))
cartera_fondos_rf = fs.get_frame_sql_user(server="Puyehue",
database="MesaInversiones",
username="******",
password="******",
query=query_rf)
cartera_fondos_rf.set_index(["codigo_ins"], inplace=True)
cartera_fondos_if = fs.get_frame_sql_user(server="Puyehue",
database="MesaInversiones",
username="******",
password="******",
query=query_if)
cartera_fondos_if = comput_nemotecnico_depositos(cartera_fondos_if, perf_att=False)
cartera_fondos_if.index.name='codigo_ins'
cartera_fondos = cartera_fondos_rf.append(cartera_fondos_if)
cartera_fondos['weight'] = cartera_fondos['weight'].astype('float64')
return cartera_fondos
def getInfoIndicesAFP():
path="queryAFPs.sql"
query = lib.read_file(path=path)
sqlQuery="SELECT INDEX_ID FROM INDICES_ESTATICA WHERE NOMBRE_INDEX LIKE '%FONDO E%'"
vals = lib.get_frame_sql_user(server="Puyehue",
database="MesaInversiones",
username="******",
password="******",
query=query)
return vals
def get_leverage(date):
path = ".\\Querys\\Leverage.sql"
query = fs.read_file(path=path).replace("AUTODATE", str(date))
df_leverage = fs.get_frame_sql_user(server="Puyehue",
database="MesaInversiones",
username="******",
password="******",
query=query)
df_leverage['monto_pactado'] = df_leverage['monto_pactado'].astype('float64')
df_leverage = df_leverage.set_index('codigo_fdo')
return df_leverage
def get_posiciones_forwards(date):
path = ".\\Querys\\Forwards.sql"
query = fs.read_file(path=path).replace("AUTODATE", str(date))
df_forwards = fs.get_frame_sql_user(server="Puyehue",
database="MesaInversiones",
username="******",
password="******",
query=query)
df_forwards = compute_forwards_net_positions(df_forwards)
df_forwards = df_forwards.set_index('codigo_fdo')
return df_forwards
def get_funds_aum(date):
path = ".\\Querys\\AUM.sql"
query = fs.read_file(path=path).replace("AUTODATE", str(date))
df_funds_aum = fs.get_frame_sql_user(server="Puyehue",
database="MesaInversiones",
username="******",
password="******",
query=query)
df_funds_aum['AUM'] = df_funds_aum['AUM'].astype('float64')
df_funds_aum = df_funds_aum.set_index('codigo_fdo')
return df_funds_aum
def get_currency_type(date, df_risk):
date_anterior = utiles.get_fecha_habil_anterior(date)
path = ".\\querys\\mapping_cinta.sql"
query = fs.read_file(path=path).replace("AUTODATE", str(date_anterior))
cinta_ra = fs.get_frame_sql_user(server="Puyehue",
database="MesaInversiones",
username="******",
password="******",
query=query)
cinta_ra.set_index(["Codigo_Ins"], inplace=True)
df_mapped = df_risk.merge(cinta_ra, how='left', left_index=True, right_index=True)
return df_mapped
