def retrieve_hist_data_fr_database(self):
""" Retrieve the hist data from web using yahoo_finance_historical_data_extract module.
Set to self.raw_all_stock_df
"""
c = FinanceDataStore(self.database_path)
c.retrieve_hist_data_fr_db(self.stocklist, 0)
c.extr_hist_price_by_date(200)
self.raw_all_stock_df = c.hist_price_df
def retrieve_hist_data_fr_database(self):
""" Retrieve the hist data from web using yahoo_finance_historical_data_extract module.
Set to self.raw_all_stock_df
"""
c = FinanceDataStore(self.database_path)
c.retrieve_hist_data_fr_db(self.stocklist,0)
c.extr_hist_price_by_date(200)
self.raw_all_stock_df = c.hist_price_df
print "Getting Trends data -- Done. \n"
#full_stock_data_df.to_csv(r'c:\data\full_oct21.csv', index = False)
if 'c_pre' in partial_run:
""" Update the database """
print 'Updating the database with latest hist price.'
datastore = FinanceDataStore(db_full_path)
stock_list = list(ss.modified_df['SYMBOL'])
datastore.scan_and_input_recent_prices(stock_list,5)
print 'Updating the database with latest hist price -- Done\n'
if 'c' in partial_run:
## using database to retrieve the data
datastore = FinanceDataStore(db_full_path)
datastore.retrieve_hist_data_fr_db()
## 3 days trends data
print "Getting Trends data"
trend_ext = YFHistDataExtr()
trend_ext.set_bypass_data_download()
trend_ext.set_raw_dataset(datastore.hist_price_df, datastore.hist_div_df)
trend_ext.run_all_hist_data()
full_stock_data_df = pandas.merge(ss.modified_df, trend_ext.all_stock_combined_post_data_df, on = 'SYMBOL', how ='left')
print "Getting Trends data -- Done. \n"
full_stock_data_df.to_csv(final_store_filename, index = False)
if 'd_pre' in partial_run:
""" Skip the company data info and just join based on store data."""
print 'Use backup data for company data.'
