extract API responses for multiple accounts - api

Question

I am new to IBPy and really interested to know how to get account parameters for multiple accounts. The code below only gives me the output in the command line but I couldn't figure out how to store those information into a dataframe. the function updateAccountValue() doesn't have a unique id that i can use as index for the dataframe.
from ib.opt import Connection, message
import pandas as pd
import time
def error_handler(msg):
"""Handles the capturing of error messages"""
print "Server Error: %s" % msg
def updateAccount_handler(msg):
if msg.key in ['AccountType','NetLiquidation']:
print msg.key, msg.value
if __name__ == "__main__":
conn = Connection.create(port=7497, clientId = 93)
conn.connect()
conn.register(error_handler, 'Error')
conn.register(updateAccount_handler,message.updateAccountValue)
# we can do a loop, i am just giving a simple example for 2 accounts
conn.reqAccountUpdates(1,"Uxxxx008")
time.sleep(0.5)
conn.reqAccountUpdates(1,"Uxxxx765")
time.sleep(0.5)
conn.disconnect()
the output looks like this:
Server Version: 76
TWS Time at connection:20150729 12:46:56 EST
Server Error: <error id=-1, errorCode=2104, errorMsg=Market data farm connection is OK:usfuture>
Server Error: <error id=-1, errorCode=2104, errorMsg=Market data farm connection is OK:usfuture.us>
Server Error: <error id=-1, errorCode=2104, errorMsg=Market data farm connection is OK:usfarm>
Server Error: <error id=-1, errorCode=2106, errorMsg=HMDS data farm connection is OK:ushmds>
AccountType INDIVIDUAL
NetLiquidation 2625.24
AccountType IRA-ROTH NEW
NetLiquidation 11313.83
End goal is to store these information into a pandas dataframe format with an unique id of account number.

Answer 1

Ok, The IBpy works in sender/Receiver architecture. What I would like suggest you is to have a global variable to store the account information.
from ib.opt import Connection, message
import pandas as pd
import time
class account_update :
acc_info = [] # list to store all your account info
# you can have list,tuple,panda dataframe or any data strucure I am using normal list to demonstrate
def error_handler(self,msg):
"""Handles the capturing of error messages"""
print "Server Error: %s" % msg
def updateAccount_handler(self,msg):
if msg.key in ['AccountType','NetLiquidation']:
self.acc_info.append(msg.key, msg.value)
def main(self):
conn = Connection.create(port=7497, clientId = 93)
conn.connect()
conn.register(error_handler, 'Error')
conn.register(updateAccount_handler,message.updateAccountValue)
conn.reqAccountUpdates(1,"Uxxxx008")
time.sleep(0.5)
conn.reqAccountUpdates(1,"Uxxxx765")
time.sleep(0.5)
conn.disconnect()
if __name__ == "__main__" :
account_update().main()
So the logic is simple,create a global variable and make your response handler method to update the global variable whenever it receives a response. Hope it works :)