Example #1
0
def __get_retrieve_Stat_ModelStatsTable_Statement(resp_word_ID, model_ID):
	table = 'T_MODEL_STATISTICS'
	wC = ['int_word_rsp_var_id', 'int_model_id']
	wV = [resp_word_ID, model_ID]
	wO = ['=']*len(wC)
	sC = ['flt_model_score', 'flt_score_variance', 'int_score_count']
	return DB_util.generateSelectStatement(	table, 
											whereColumns=wC, 
											whereValues=wV, 
											whereOperators=wO,
											selectColumns=sC)
Example #2
0
def __get_retrieve_Stat_DataStatsTable_Statement(resp_data_ID, pred_data_ID):
	table = 'T_DATA_STATISTICS'
	wC = ['int_data_rsp_var_id', 'int_data_prd_var_id']
	wV = [resp_data_ID, pred_data_ID]
	wO = ['=']*len(wC)
	sC = ['adj_prd_feature_importance', 'flt_feat_imp_variance', 'int_feat_imp_count']
	return DB_util.generateSelectStatement(	table, 
											whereColumns=wC, 
											whereValues=wV, 
											whereOperators=wO,
											selectColumns=sC)
Example #3
0
def __get_retrieve_WordSeriesMetaData_Statement(seriesID, columnName):
	table = WordColumnTableLink[columnName]
	sC = [columnName]
	wC = ['int_word_series_ID']
	wV = [seriesID]
	wO = ['=']
	return DB_util.generateSelectStatement(	table, 
											whereColumns=wC, 
											whereValues=wV, 
											whereOperators=wO,
											selectColumns=sC)
Example #4
0
def __get_retrieve_WordSeriesID_Statement(seriesName):
	table = 'T_WORD_SERIES'
	sC = ['int_word_series_ID']
	wC = ['int_word_series_name']
	wV = [seriesName]
	wO = ['=']*len(wC)
	return DB_util.generateSelectStatement(	table, 
											whereColumns=wC, 
											whereValues=wV, 
											whereOperators=wO,
											selectColumns=sC)
Example #5
0
def __get_retrieve_DataSeriesTicker_Statement(seriesID):
	table = 'T_DATA_SERIES'
	sC = ['txt_data_ticker']
	wC = ['int_data_series_ID']
	wV = [seriesID]
	wO = ['=']
	return DB_util.generateSelectStatement(	table, 
											whereColumns=wC, 
											whereValues=wV, 
											whereOperators=wO,
											selectColumns=sC)
Example #6
0
def __get_completeWordHistory_WordHistoryTable_Statement(seriesID):
	table = 'T_WORD_HISTORY'
	wC = ['int_word_master_id']
	wV = [seriesID]
	wO = ['=']*len(wC)
	sC = ['dt_date_time','flt_word_value']
	return DB_util.generateSelectStatement(	table, 
											whereColumns=wC, 
											whereValues=wV, 
											whereOperators=wO,
											selectColumns=sC,
											order_=(['dt_date_time'], 'ASC'))
Example #7
0
def __get_retrieveAllStats_DataStatsTable_Statement(resp_data_ID):
	table = 'T_DATA_STATISTICS'
	wC = ['int_data_rsp_var_id']
	wV = [resp_data_ID]
	wO = ['=']
	sC = ['int_data_prd_var_id', 'adj_prd_feature_importance']
	oC = (['adj_prd_feature_importance'],'desc')
	return DB_util.generateSelectStatement(	table, 
											whereColumns=wC, 
											whereValues=wV, 
											whereOperators=wO,
											selectColumns=sC,
											order_=oC)
Example #8
0
def __get_completeDataHistory_DataHistoryTable_Statement(seriesID, selectCount=False):
	table = 'T_DATA_HISTORY'
	sC = ['dt_date_time','flt_data_value']
	wC = ['int_data_series_ID']
	wV = [seriesID]
	wO = ['=']
	return DB_util.generateSelectStatement(	table, 
										whereColumns=wC, 
										whereValues=wV, 
										whereOperators=wO,
										selectCount=selectCount,
										selectColumns=sC,
										order_=(['dt_date_time'], 'ASC'))
Example #9
0
def retrieve_DataSeries_All(cursor, column=ID, limit_=None, order_=False):
	table = 'T_DATA_SERIES'
	# Find Select Column
	if column == ID:
		sC = ['int_data_series_ID']
	elif column == TICKER:
		sC = ['txt_data_ticker']
	else:
		raise NameError
	# Implement Ordering
	order_ = (sC, 'ASC') if order_ else None
	# Generate and Execute Statement
	statement = DB_util.generateSelectStatement(table, selectColumns=sC, order_=order_, limit_=limit_)
	(success, results) = DB_util.retrieveDBStatement(cursor, statement, expectedColumnCount=1)
	return results # Don't care about success. If not successful, will fail with error
Example #10
0
def __get_retrieve_DataSeriesID_Statement(name=None, ticker=None):
	table = 'T_DATA_SERIES'
	sC = ['int_data_series_ID']
	wC = []
	wV = []
	if ticker is not None:
		wC.append('txt_data_ticker')
		wV.append(ticker)
	if name is not None:
		wC.append('txt_data_name')
		wV.append(name)
	wO = ['=']*len(wC)
	return DB_util.generateSelectStatement(	table, 
											whereColumns=wC, 
											whereValues=wV, 
											whereOperators=wO,
											selectColumns=sC)