def bloomberg_update_query(response_key, bulk_information, use_terminal):
awaited = 0
for field in bulk_information.keys():
awaited += len(bulk_information[field].keys())
step = 1.0 / float(awaited)
LOGGER.info("Waiting for " + str(awaited) + " responses from Bloomberg")
cache.set(response_key, 0.0)
for field in bulk_information.keys():
for start_date in bulk_information[field].keys():
if len(bulk_information[field][start_date]):
if str(start_date)=='None':
response = BloombergTasks.send_bloomberg_get_history(bulk_information[field][start_date], [field], 'TICKER', use_terminal)
else:
response = BloombergTasks.send_bloomberg_get_history(bulk_information[field][start_date], [field], 'TICKER', use_terminal, start_date)
cache.set('data_' + response_key, response)
cache.set('type_' + response_key, 'historical')
populate_tracks_from_bloomberg_protobuf(response, True)
cache.set(response_key, cache.get(response_key) + step)
def bloomberg_history_query(response_key, prepared_entries, fields, use_terminal):
cache.set(response_key, 0.0)
for tickers in batch(prepared_entries, 50):
response = BloombergTasks.send_bloomberg_get_history(tickers, ticker_type='TICKER', fields=fields, use_terminal=use_terminal)
cache.set('data_' + response_key, response)
cache.set('type_' + response_key, 'historical')
cache.set(response_key, 0.5)
populate_tracks_from_bloomberg_protobuf(response)
cache.set(response_key, 1.0)