def __init__(self, multiprocessing_library=None):
self._pool = None
if multiprocessing_library is None:
multiprocessing_library = DataConstants.multiprocessing_library
self._multiprocessing_library = multiprocessing_library
if multiprocessing_library == 'multiprocess':
try:
import multiprocess
multiprocess.freeze_support()
except:
pass
elif multiprocessing_library == 'multiprocessing_on_dill':
try:
import multiprocessing_on_dill
multiprocessing_on_dill.freeze_support()
except:
pass
elif multiprocessing_library == 'multiprocessing':
try:
import multiprocessing
multiprocessing.freeze_support()
except:
pass
def __init__(self, multiprocessing_library = None):
self._pool = None
if multiprocessing_library is None:
multiprocessing_library = DataConstants().multiprocessing_library
self._multiprocessing_library = multiprocessing_library
self._thread_technique = 'na'
if multiprocessing_library == 'multiprocess':
try:
import multiprocess;
multiprocess.freeze_support()
except:
pass
elif multiprocessing_library == 'multiprocessing_on_dill':
try:
import multiprocessing_on_dill;
multiprocessing_on_dill.freeze_support()
except:
pass
elif multiprocessing_library == 'multiprocessing':
try:
import multiprocessing;
multiprocessing.freeze_support()
except:
pass
# for logging
from pythalesians.util.loggermanager import LoggerManager
# to download market data
from pythalesians.market.requests.timeseriesrequest import TimeSeriesRequest
from pythalesians.market.loaders.lighttimeseriesfactory import LightTimeSeriesFactory
if __name__ == '__main__':
# On Windows calling this function is necessary (to prevent repeated respawning of multiprocess functions)
# On Linux/OSX it does nothing
# only necessary if you use multiprocessing_on_dill code
try:
# the standard multiprocessing library fails in pickling the market data classes
import multiprocessing_on_dill as multiprocessing
multiprocessing.freeze_support()
except:
pass
if True:
logger = LoggerManager().getLogger(__name__)
import datetime
# just change "False" to "True" to run any of the below examples
###### download daily data from Bloomberg for FX, with different threading techniques
if False:
time_series_request = TimeSeriesRequest(
start_date="01 Jan 1999", # start date
# for logging
from pythalesians.util.loggermanager import LoggerManager
# to download market data
from pythalesians.market.requests.timeseriesrequest import TimeSeriesRequest
from pythalesians.market.loaders.lighttimeseriesfactory import LightTimeSeriesFactory
if __name__ == '__main__':
# On Windows calling this function is necessary (to prevent repeated respawning of multiprocess functions)
# On Linux/OSX it does nothing
# only necessary if you use multiprocessing_on_dill code
try:
# the standard multiprocessing library fails in pickling the market data classes
import multiprocessing_on_dill as multiprocessing
multiprocessing.freeze_support()
except: pass
if True:
logger = LoggerManager().getLogger(__name__)
import datetime
# just change "False" to "True" to run any of the below examples
###### download daily data from Bloomberg for FX, with different threading techniques
if False:
time_series_request = TimeSeriesRequest(
start_date = "01 Jan 1999", # start date
finish_date = datetime.date.today(), # finish date