def test_normalRun(self):
        # set up
        db = SUDBConnect()
        sponsorsList = []
        descriptionList = []
        ocList = []
        iefaLeadTrainingIdList = []
        actualBad = []
        concatenatedDescriptionOCList = []
        rows = db.getRowsDB("select * from dbo.IefaLeadsTrainingItems where BadScholarship!='Maybe'")
        for row in rows:
            sponsorsList.append(row.Sponsor)
            descriptionList.append(row.Description)
            ocList.append(row.OtherCriteria)
            actualBad.append(row.BadScholarship)
            iefaLeadTrainingIdList.append(str(row.IefaLeadTrainingId))

        for i in range(len(descriptionList)):
            conatenatedItem = '%s %s' % (descriptionList[i], ocList[i])
            concatenatedDescriptionOCList.append(conatenatedItem)

        # test
        testNER = ClassifyBadScholarships(sponsorsList, concatenatedDescriptionOCList)
        predictedBad = testNER.loopThroughLeadsAndDoStuff()

        accuracy = ComputeAccuracy(actualBad, predictedBad).calculateAccuracy()
        print(accuracy)

        # put result in db
        for i in range(len(predictedBad)):
            iefaLeadTrainingId = iefaLeadTrainingIdList[i]
            predicted = predictedBad[i]
            db.insertUpdateOrDeleteDB(
                "update dbo.IefaLeadsTrainingItems set NormalTestPredictedTag='" + predicted + "' where IefaLeadTrainingId='" + iefaLeadTrainingId + "'")
    def test_infoTextOnlyNoInsert(self):
        # set up
        db = SUDBConnect()
        sponsorsList = []
        descriptionList = []
        ocList = []
        iefaLeadTrainingIdList = []
        actualBad = []
        concatenatedDescriptionOCList = []
        rows = db.getRowsDB("select * from dbo.IefaLeadsTrainingItems where BadScholarship!='Maybe'")
        for row in rows:
            sponsorsList.append(row.Sponsor)
            descriptionList.append(row.Description)
            ocList.append(row.OtherCriteria)
            actualBad.append(row.BadScholarship)
            iefaLeadTrainingIdList.append(str(row.IefaLeadTrainingId))

        for i in range(len(descriptionList)):
            conatenatedItem = '%s %s' % (descriptionList[i], ocList[i])
            concatenatedDescriptionOCList.append(conatenatedItem)

        # test
        testNER = ClassifyBadScholarships(sponsorsList, concatenatedDescriptionOCList, test='infoTextOnly')
        infoTextPredictedBad = testNER.loopThroughLeadsAndDoStuff()

        accuracy = ComputeAccuracy(actualBad, infoTextPredictedBad).calculateAccuracy()
        print(accuracy)