@@ -24,8 +24,7 @@ class EventStudy(object):
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"""
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def __init__ (self ):
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- self .logger = LoggerManager ().getLogger (__name__ )
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- return
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+ pass
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def get_economic_event_ret_over_custom_event_day (self , data_frame_in , event_dates , name , event , start , end ,
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lagged = False , NYC_cutoff = 10 ):
@@ -278,7 +277,6 @@ def __init__(self, df=None):
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super (EventStudy , self ).__init__ ()
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self .config = ConfigManager ()
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- self .logger = LoggerManager ().getLogger (__name__ )
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self .filter = Filter ()
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self .io_engine = IOEngine ()
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self .speed_cache = SpeedCache ()
@@ -523,7 +521,6 @@ def get_surprise_against_intraday_moves_over_event(self, data_frame_cross_orig,
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class HistEconDataFactory (object ):
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def __init__ (self , market_data_generator = None ):
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- self .logger = LoggerManager ().getLogger (__name__ )
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self ._all_econ_tickers = pandas .read_csv (DataConstants ().all_econ_tickers )
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self ._econ_country_codes = pandas .read_csv (DataConstants ().econ_country_codes )
@@ -537,6 +534,8 @@ def __init__(self, market_data_generator=None):
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def get_economic_data_history (self , start_date , finish_date , country_group , data_type ,
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source = 'alfred' , cache_algo = "internet_load_return" ):
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+ logger = LoggerManager ().getLogger (__name__ )
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+
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# vendor_country_codes = self.fred_country_codes[country_group]
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# vendor_pretty_country = self.fred_nice_country_codes[country_group]
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@@ -559,7 +558,7 @@ def get_economic_data_history(self, start_date, finish_date, country_group, data
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if vendor_ticker == []:
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vendor_ticker = None
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- self . logger .error ('Could not find match for ' + pretty_ticker )
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+ logger .error ('Could not find match for ' + pretty_ticker )
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else :
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vendor_ticker = vendor_ticker [0 ]
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