Example #1
0
    def setUpClass(cls):
        #----------------------
        # set up db
        #----------------------
        cls.db = ks_db_settings.connect()

        cls.ks_fh = filehandler(cls.db)
        cls.ks_fh.reset()
        cls.company_id = 1
        
        register_raw_filesCsvPy("Sales_new_version",cls.company_id, cls.db)
        register_raw_filesCsvPy("CurrencyV2",cls.company_id, cls.db)
        register_raw_filesCsvPy("ComissionTax_new_version",cls.company_id, cls.db)
        register_raw_filesCsvPy("CountryRegion",cls.company_id, cls.db)
                
        sql = 'update files set file_name = "./tests/data2/version/Sales.csv" where file_name = "./tests/data2/Sales.csv"'
        cls.db.cursor().execute(sql)
        sql = 'update files set file_name = "./tests/data2/version/ComissionTax.csv" where file_name = "./tests/data2/ComissionTax.csv"'
        cls.db.cursor().execute(sql)
    
    
        ks_precompute = precompute(cls.db)
        ks_precompute.reset()
        #precompute
        load_precompute_normalize_CsvPy(cls.company_id, cls.db)
        newBigTable = "BigTable"+ str(ks_precompute.getMaxBigTableIdForCompany(cls.company_id))
        cls.ks_analytics = analytics(cls.db)
        
        #clean up
        sql ="update %s set TaxRate = TaxRate/100;"%("analytics."+newBigTable)
        cls.db.cursor().execute(sql)
        # ProductType changed from D to M see documentation of test case
        sql ="update %s set ProductType = 'M' where VendorId='0268_20140114_SOFA_ENGLIS' and DownloadDate='6/1/14';"%("analytics."+newBigTable)
        cls.db.cursor().execute(sql)
        
        cls.ks_analytics.addFactUsingBinaryOpAPI("NET_REVENUE", "Units", "RoyaltyPrice", "*", newBigTable) 
        cls.ks_analytics.addFactUsingBinaryOpAPI("TAXES", "NET_REVENUE","TaxRate","*", newBigTable)
        cls.ks_analytics.addFactUsingBinaryOpAPI("REVENUE_AFTER_TAX", "NET_REVENUE","TAXES","-", newBigTable)
        
        
        cls.ks_fh.registerFormula("", "Plus", "Plus", "Units+RoyaltyPrice", "sum")
        cls.ks_fh.registerFormula("", "Mult", "Mult", "Units*RoyaltyPrice", "sum")
        cls.ks_fh.registerFormula("", "Individual_Tax", "Individual_Tax", "RoyaltyPrice*TaxRate", "sum")
        cls.ks_fh.registerFormula("", "NET_REVENUE", "NET_REVENUE", "Units*RoyaltyPrice", "sum")
        cls.ks_fh.registerFormula("", "SumPlus", "SumPlus", "Sum(Units)+Sum(RoyaltyPrice)", "sum")
        cls.ks_fh.registerFormula("", "SumMult", "SumMult", "Sum(Units)*Sum(RoyaltyPrice)", "sum")
        cls.ks_fh.registerFormula("", "Individual_TaxSum", "Individual_TaxSum", "Sum(RoyaltyPrice)*Sum(TaxRate)", "sum")
        cls.ks_fh.registerFormula("", "NonsenseSum", "Individual_Tax", "Sum(RoyaltyPrice)+Sum(TaxRate)", "sum")
        cls.ks_fh.registerFormula("", "Nonsense", "Individual_Tax", "RoyaltyPrice+TaxRate", "sum")
        cls.ks_fh.registerFormula("", "REVENUE_AFTER_TAX", "REVENUE_AFTER_TAX", "", "sum")
Example #2
0
    def setUpClass(cls):
        #----------------------
        # set up db
        #----------------------
        cls.db = ks_db_settings.connect()

        cls.ks_fh = filehandler(cls.db)
        cls.ks_fh.reset()
        cls.company_id = 1
        
        register_raw_filesCsvPy("Sales",cls.company_id, cls.db)
        register_raw_filesCsvPy("CurrencyV2",cls.company_id, cls.db)
        register_raw_filesCsvPy("ComissionTax",cls.company_id, cls.db)
        register_raw_filesCsvPy("CountryRegion",cls.company_id, cls.db)
    
        ks_precompute = precompute(cls.db)
        ks_precompute.reset()
        #precompute
        load_precompute_normalize_CsvPy(cls.company_id, cls.db)
        newBigTable = "BigTable"+ str(ks_precompute.getMaxBigTableIdForCompany(cls.company_id))
        cls.ks_analytics = analytics(cls.db)
        cls.ks_fh.registerFormula("", "UnitsSUM", "UnitsSUM", "sum(Units)", "sum")
    def setUpClass(cls):
        #----------------------
        # set up db
        #----------------------
        cls.db = ks_db_settings.connect()

        cls.ks_fh = filehandler(cls.db)
        cls.ks_fh.reset()
        cls.company_id = 1
        
        register_raw_filesCsvPy("Salesfreq",cls.company_id, cls.db)
        #register_raw_filesCsvPy("CurrencyV2",cls.company_id, cls.db)
        register_raw_filesCsvPy("ComissionTax",cls.company_id, cls.db)
        register_raw_filesCsvPy("CountryRegion",cls.company_id, cls.db)
    
        ks_precompute = precompute(cls.db)
        ks_precompute.reset()
        #precompute
        load_precompute_normalize_CsvPy(cls.company_id, cls.db)
        newBigTable = "BigTable"+ str(ks_precompute.getMaxBigTableIdForCompany(cls.company_id))
        cls.ks_analytics = analytics(cls.db)
        
        cls.ks_analytics.addFactUsingBinaryOpAPI("NET_REVENUE", "Units", "RoyaltyPrice", "*", newBigTable) 
        cls.ks_analytics.addFactUsingBinaryOpAPI("TAXES", "NET_REVENUE","TaxRate","*", newBigTable)
        cls.ks_analytics.addFactUsingBinaryOpAPI("REVENUE_AFTER_TAX", "NET_REVENUE","TAXES","-", newBigTable)
        
        
        cls.ks_fh.registerFormula("", "Plus", "Plus", "Units+RoyaltyPrice", "sum")
        cls.ks_fh.registerFormula("", "Mult", "Mult", "Units*RoyaltyPrice", "sum")
        cls.ks_fh.registerFormula("", "Individual_Tax", "Individual_Tax", "RoyaltyPrice*TaxRate", "sum")
        cls.ks_fh.registerFormula("", "NET_REVENUE", "NET_REVENUE", "Units*RoyaltyPrice", "sum")
        cls.ks_fh.registerFormula("", "SumPlus", "SumPlus", "Sum(Units)+Sum(RoyaltyPrice)", "sum")
        cls.ks_fh.registerFormula("", "SumMult", "SumMult", "Sum(Units)*Sum(RoyaltyPrice)", "sum")
        cls.ks_fh.registerFormula("", "Individual_TaxSum", "Individual_TaxSum", "Sum(RoyaltyPrice)*Sum(TaxRate)", "sum")
        cls.ks_fh.registerFormula("", "NonsenseSum", "Individual_Tax", "Sum(RoyaltyPrice)+Sum(TaxRate)", "sum")
        cls.ks_fh.registerFormula("", "Nonsense", "Individual_Tax", "RoyaltyPrice+TaxRate", "sum")
        cls.ks_fh.registerFormula("", "REVENUE_AFTER_TAX", "REVENUE_AFTER_TAX", "", "sum")
Example #4
0
# import API
from register_raw_files import register_raw_filesCsvPy
from load_precompute_normalize import load_precompute_normalize_CsvPy


def MeasureName2MeasureIds(name):
        measure_id = ks_fh.getMeasureID(name)
        measure_ids = []
        measure_ids.append(measure_id)
        return measure_ids


#----------------------
# set up db
#----------------------
db = ks_db_settings.connect()

ks_fh = filehandler(db)
ks_fh.reset()
company_id = 1

register_raw_filesCsvPy("Sales",company_id, db)
register_raw_filesCsvPy("CurrencyV2",company_id, db)
register_raw_filesCsvPy("ComissionTax",company_id, db)
register_raw_filesCsvPy("CountryRegion",company_id, db)

ks_precompute = precompute(db)
ks_precompute.reset()
#precompute
load_precompute_normalize_CsvPy(company_id, db)
newBigTable = "BigTable"+ str(ks_precompute.getMaxBigTableIdForCompany(company_id))