Examples of Scorecard

Examples of com.lgx8.right.entities.Scorecard

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          HSSFRow rowdata = sheet.createRow(n);
          int i = (n-1)+((t-1)*number);
          if(i < size)
          {
            SimpleDateFormat sdf = new SimpleDateFormat("yyyy年MM月dd日");
            Scorecard card = cards.get(i);
            HSSFCell cell0 = rowdata.createCell(0);
            HSSFRichTextString text0 = new HSSFRichTextString(card.getCard());
            cell0.setCellValue(text0);
            cell0.setCellStyle(styledata);
           
            HSSFCell cell1 = rowdata.createCell(1);
//            HSSFRichTextString text1 = new HSSFRichTextString(card.getPassword());
            cell1.setCellValue(card.getPassword());
            cell1.setCellStyle(styledata);
           
            HSSFCell cell2 = rowdata.createCell(2);
//            HSSFRichTextString text2 = new HSSFRichTextString(card.getScore().toString());
            cell2.setCellValue(card.getScore());
            cell2.setCellStyle(styledata);
           
            HSSFCell cell3 = rowdata.createCell(3);
            HSSFRichTextString text3 = new HSSFRichTextString(sdf.format(card.getEffectiveTimeStart()));
            cell3.setCellValue(text3);
            cell3.setCellStyle(styledata);
           
            HSSFCell cell4 = rowdata.createCell(4);
            HSSFRichTextString text4 = new HSSFRichTextString(sdf.format(card.getEffectiveTimeEnd()));
            cell4.setCellValue(text4);
            cell4.setCellStyle(styledata);
          }
        }
      }
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Examples of com.lgx8.right.entities.Scorecard

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  @Transactional
  public Scorecard lockOrUnLockScorecard(Long id, Boolean locked) {
    @SuppressWarnings("unchecked")
    List<Scorecard> list = this.getHibernateTemplate().find(" from Scorecard s where s.id = ? ",new Object[]{id});
   
    Scorecard scorecard= null;
    if(list.size() > 0)
    {
      scorecard = list.get(0);
      scorecard.setLocked(locked);
      this.getHibernateTemplate().update(scorecard);
    }
    return scorecard;
  }
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Examples of com.lgx8.right.entities.Scorecard

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  }

  @Transactional
  public Scorecard createScorecard(String card, String password , Double score,
      Date effectiveTimeStart, Date effectiveTimeEnd) {
    Scorecard scorecard = new Scorecard();
    scorecard.setId(null);
    scorecard.setCard(card);
    scorecard.setPassword(password);
    scorecard.setScore(score);
    scorecard.setEffectiveTimeStart(effectiveTimeStart);
    scorecard.setEffectiveTimeEnd(effectiveTimeEnd);
    scorecard.setEnabled(true);
    scorecard.setLocked(false);
    scorecard.setCreateTime(new Date());
   
    this.getHibernateTemplate().persist(scorecard);
   
    return scorecard;
  }
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Examples of com.lgx8.right.entities.Scorecard

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    return this.findByPage4Report(sql, new Object[]{}, pageNum, pageSize);
  }

  @Transactional
  public void deleteScorecard(Long id) {
    Scorecard scorecard = this.getHibernateTemplate().get(Scorecard.class, id);
   
    if(scorecard != null)
    {
      this.getHibernateTemplate().delete(scorecard);
    }
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Examples of com.lgx8.right.entities.Scorecard

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    RunTimeUser currentUser = RunTimeUser.getRunTimeUser(request);
   
    String card = request.getParameter("card");
    String password = request.getParameter("password");
   
    Scorecard scorecard = scorecardDao.findScorecard(card, password);
   
    request.setAttribute("url", MemberURLConst.URL_ADD_USER_SCORE);
    if(scorecard == null)
    {
      request.setAttribute("errmsg", "该积分卡不存在。");
      return new ModelAndView(MemberURLConst.URL_BASE);
    }
   
    if(scorecard.getLocked())
    {
      request.setAttribute("errmsg", "该积分卡被锁，不能进行充值。");
      return new ModelAndView(MemberURLConst.URL_BASE);
    }
   
    if(!scorecard.getEnabled())
    {
      request.setAttribute("errmsg", "该积分卡已充值，不能再进行充值。");
      return new ModelAndView(MemberURLConst.URL_BASE);
    }
   
    Date date = new Date();
   
    if(date.before(scorecard.getEffectiveTimeStart()))
    {
      request.setAttribute("errmsg", "该积分卡充值时间未到，不能再进行充值。");
      return new ModelAndView(MemberURLConst.URL_BASE);
    }
   
    if(date.after(scorecard.getEffectiveTimeEnd()))
    {
      request.setAttribute("errmsg", "该积分卡已过期，不能再进行充值。");
      return new ModelAndView(MemberURLConst.URL_BASE);
    }
   
    Card  c = currentUser.getCard();
    c.setScore(c.getScore() + scorecard.getScore());
    cardDao.updateCard(c);
   
    MemberRecord record = new MemberRecord();
    record.setRecordDate(new Date());
    record.setRecorder(currentUser);
    record.setScore(scorecard.getScore());
    record.setNote("充值"+scorecard.getScore()+"积分 ");
    cardDao.createRecord(record);
   
    scorecard.setEnabled(false);
    scorecardDao.updateScorecard(scorecard);
   
    request.setAttribute("errmsg", "积分充值成功");
    return new ModelAndView(MemberURLConst.URL_BASE);
    }
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Examples of ke.go.moh.oec.mpi.Scorecard

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            guidMatch = this.get(p.getPersonGuid());
            //TODO: Fix logic.
            if (guidMatch != null) {
                final double GUID_MATCH_SCORE = 1.0;
                final double GUID_MATCH_WEIGHT = 1.0;
                Scorecard s = new Scorecard();
                s.addScore(GUID_MATCH_SCORE, GUID_MATCH_WEIGHT);
                candidateSet.add(guidMatch, s);
                if (Mediator.testLoggerLevel(Level.FINEST)) {
                    Mediator.getLogger(PersonList.class.getName()).log(Level.FINEST,
                            "Score {0},{1} total {2},{3} comparing GUID {4} with {5}",
                            new Object[]{GUID_MATCH_SCORE, GUID_MATCH_WEIGHT, s.getTotalScore(), s.getTotalWeight(),
                                p.getPersonGuid(), guidMatch.getPerson().getPersonGuid()});
                }
            }
        }
        int personMatchCount = personList.size();
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Examples of ke.go.moh.oec.mpi.Scorecard

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     *
     * @param p The person to match with (either as a search term or a database entry).
     * @return The scorecard for this person match.
     */
    public Scorecard scorePersonMatch(PersonMatch p) {
        Scorecard s = new Scorecard();
        if ((p.getPerson().getAliveStatus() == Person.AliveStatus.yes && person.getDeathdate() != null)
                || (person.getAliveStatus()) == Person.AliveStatus.yes && p.getPerson().getDeathdate() != null) {
        } else {
            scoreSex(s, person.getSex(), p.getPerson().getSex());
            birthdateMatch.score(s, p.birthdateMatch);
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Examples of org.dmg.pmml.pmml_4_1.descr.Scorecard

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        return sb.toString();
    }

    private static PMML createPMMLDocument( final ScoreCardModel model ) {
        final Scorecard pmmlScorecard = ScorecardPMMLUtils.createScorecard();
        final Output output = new Output();
        final Characteristics characteristics = new Characteristics();
        final MiningSchema miningSchema = new MiningSchema();

        Extension extension = new Extension();
        extension.setName( PMMLExtensionNames.SCORECARD_RESULTANT_SCORE_CLASS );
        extension.setValue( model.getFactName() );

        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( extension );

        extension = new Extension();
        extension.setName( PMMLExtensionNames.SCORECARD_IMPORTS );
        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( extension );
        List<String> imports = new ArrayList<String>();
        StringBuilder importBuilder = new StringBuilder();
        for ( Import imp : model.getImports().getImports() ) {
            if ( !imports.contains( imp.getType() ) ) {
                imports.add( imp.getType() );
                importBuilder.append( imp.getType() ).append( "," );
            }
        }
        extension.setValue( importBuilder.toString() );

        extension = new Extension();
        extension.setName( PMMLExtensionNames.SCORECARD_RESULTANT_SCORE_FIELD );
        extension.setValue( model.getFieldName() );
        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( extension );

        extension = new Extension();
        extension.setName( PMMLExtensionNames.SCORECARD_PACKAGE );
        String pkgName = model.getPackageName();
        extension.setValue( !( pkgName == null || pkgName.isEmpty() ) ? pkgName : null );
        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( extension );

        final String modelName = convertToJavaIdentifier( model.getName() );
        pmmlScorecard.setModelName( modelName );
        pmmlScorecard.setInitialScore( model.getInitialScore() );
        pmmlScorecard.setUseReasonCodes( model.isUseReasonCodes() );

        if ( model.isUseReasonCodes() ) {
            pmmlScorecard.setBaselineScore( model.getBaselineScore() );
            pmmlScorecard.setReasonCodeAlgorithm( model.getReasonCodesAlgorithm() );
        }

        for ( final org.drools.workbench.models.guided.scorecard.shared.Characteristic characteristic : model.getCharacteristics() ) {
            final Characteristic _characteristic = new Characteristic();
            characteristics.getCharacteristics().add( _characteristic );

            extension = new Extension();
            extension.setName( PMMLExtensionNames.CHARACTERTISTIC_EXTERNAL_CLASS );
            extension.setValue( characteristic.getFact() );
            _characteristic.getExtensions().add( extension );

            extension = new Extension();
            extension.setName( PMMLExtensionNames.CHARACTERTISTIC_DATATYPE );
            if ( "string".equalsIgnoreCase( characteristic.getDataType() ) ) {
                extension.setValue( XLSKeywords.DATATYPE_TEXT );
            } else if ( "int".equalsIgnoreCase( characteristic.getDataType() ) || "double".equalsIgnoreCase( characteristic.getDataType() ) ) {
                extension.setValue( XLSKeywords.DATATYPE_NUMBER );
            } else if ( "boolean".equalsIgnoreCase( characteristic.getDataType() ) ) {
                extension.setValue( XLSKeywords.DATATYPE_BOOLEAN );
            } else {
                System.out.println( ">>>> Found unknown data type :: " + characteristic.getDataType() );
            }
            _characteristic.getExtensions().add( extension );

            if ( model.isUseReasonCodes() ) {
                _characteristic.setBaselineScore( characteristic.getBaselineScore() );
                _characteristic.setReasonCode( characteristic.getReasonCode() );
            }
            _characteristic.setName( characteristic.getName() );

            final MiningField miningField = new MiningField();
            miningField.setName( characteristic.getField() );
            miningField.setUsageType( FIELDUSAGETYPE.ACTIVE );
            miningField.setInvalidValueTreatment( INVALIDVALUETREATMENTMETHOD.RETURN_INVALID );
            miningSchema.getMiningFields().add( miningField );

            extension = new Extension();
            extension.setName( PMMLExtensionNames.CHARACTERTISTIC_EXTERNAL_CLASS );
            extension.setValue( characteristic.getFact() );
            miningField.getExtensions().add( extension );

            final String[] numericOperators = new String[]{ "=", ">", "<", ">=", "<=" };
            for ( final org.drools.workbench.models.guided.scorecard.shared.Attribute attribute : characteristic.getAttributes() ) {
                final Attribute _attribute = new Attribute();
                _characteristic.getAttributes().add( _attribute );

                extension = new Extension();
                extension.setName( PMMLExtensionNames.CHARACTERTISTIC_FIELD );
                extension.setValue( characteristic.getField() );
                _attribute.getExtensions().add( extension );

                if ( model.isUseReasonCodes() ) {
                    _attribute.setReasonCode( attribute.getReasonCode() );
                }
                _attribute.setPartialScore( attribute.getPartialScore() );

                final String operator = attribute.getOperator();
                final String dataType = characteristic.getDataType();
                String predicateResolver;
                if ( "boolean".equalsIgnoreCase( dataType ) ) {
                    predicateResolver = operator.toUpperCase();
                } else if ( "String".equalsIgnoreCase( dataType ) ) {
                    if ( operator.contains( "=" ) ) {
                        predicateResolver = operator + attribute.getValue();
                    } else {
                        predicateResolver = attribute.getValue() + ",";
                    }
                } else {
                    if ( ArrayUtils.contains( numericOperators, operator ) ) {
                        predicateResolver = operator + " " + attribute.getValue();
                    } else {
                        predicateResolver = attribute.getValue().replace( ",", "-" );
                    }
                }
                extension = new Extension();
                extension.setName( "predicateResolver" );
                extension.setValue( predicateResolver );
                _attribute.getExtensions().add( extension );
            }
        }

        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( miningSchema );
        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( output );
        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( characteristics );
        return new PMMLGenerator().generateDocument( pmmlScorecard );
    }
View Full Code Here

Examples of org.dmg.pmml.pmml_4_1.descr.Scorecard

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        return sb.toString();
    }

    private static PMML createPMMLDocument( final ScoreCardModel model ) {
        final Scorecard pmmlScorecard = ScorecardPMMLUtils.createScorecard();
        final Output output = new Output();
        final Characteristics characteristics = new Characteristics();
        final MiningSchema miningSchema = new MiningSchema();

        Extension extension = new Extension();
        extension.setName( PMMLExtensionNames.SCORECARD_RESULTANT_SCORE_CLASS );
        extension.setValue( model.getFactName() );

        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( extension );

        extension = new Extension();
        extension.setName( PMMLExtensionNames.SCORECARD_IMPORTS );
        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( extension );
        List<String> imports = new ArrayList<String>();
        imports.add( model.getFactName() );
        StringBuilder importBuilder = new StringBuilder();
        importBuilder.append( model.getFactName() );

        for ( final org.drools.guvnor.models.guided.scorecard.shared.Characteristic characteristic : model.getCharacteristics() ) {
            if ( !imports.contains( characteristic.getFact() ) ) {
                imports.add( characteristic.getFact() );
                importBuilder.append( "," ).append( characteristic.getFact() );
            }
        }
        imports.clear();
        extension.setValue( importBuilder.toString() );

        extension = new Extension();
        extension.setName( PMMLExtensionNames.SCORECARD_RESULTANT_SCORE_FIELD );
        extension.setValue( model.getFieldName() );
        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( extension );

        extension = new Extension();
        extension.setName( PMMLExtensionNames.SCORECARD_PACKAGE );
        extension.setValue( model.getPackageName() );
        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( extension );

        final String modelName = convertToJavaIdentifier( model.getName() );
        pmmlScorecard.setModelName( modelName );
        pmmlScorecard.setInitialScore( model.getInitialScore() );
        pmmlScorecard.setUseReasonCodes( model.isUseReasonCodes() );

        if ( model.isUseReasonCodes() ) {
            pmmlScorecard.setBaselineScore( model.getBaselineScore() );
            pmmlScorecard.setReasonCodeAlgorithm( model.getReasonCodesAlgorithm() );
        }

        for ( final org.drools.guvnor.models.guided.scorecard.shared.Characteristic characteristic : model.getCharacteristics() ) {
            final Characteristic _characteristic = new Characteristic();
            characteristics.getCharacteristics().add( _characteristic );

            extension = new Extension();
            extension.setName( PMMLExtensionNames.CHARACTERTISTIC_EXTERNAL_CLASS );
            extension.setValue( characteristic.getFact() );
            _characteristic.getExtensions().add( extension );

            extension = new Extension();
            extension.setName( PMMLExtensionNames.CHARACTERTISTIC_DATATYPE );
            if ( "string".equalsIgnoreCase( characteristic.getDataType() ) ) {
                extension.setValue( XLSKeywords.DATATYPE_TEXT );
            } else if ( "int".equalsIgnoreCase( characteristic.getDataType() ) || "double".equalsIgnoreCase( characteristic.getDataType() ) ) {
                extension.setValue( XLSKeywords.DATATYPE_NUMBER );
            } else if ( "boolean".equalsIgnoreCase( characteristic.getDataType() ) ) {
                extension.setValue( XLSKeywords.DATATYPE_BOOLEAN );
            } else {
                System.out.println( ">>>> Found unknown data type :: " + characteristic.getDataType() );
            }
            _characteristic.getExtensions().add( extension );

            if ( model.isUseReasonCodes() ) {
                _characteristic.setBaselineScore( characteristic.getBaselineScore() );
                _characteristic.setReasonCode( characteristic.getReasonCode() );
            }
            _characteristic.setName( characteristic.getName() );

            final MiningField miningField = new MiningField();
            miningField.setName( characteristic.getField() );
            miningField.setUsageType( FIELDUSAGETYPE.ACTIVE );
            miningField.setInvalidValueTreatment( INVALIDVALUETREATMENTMETHOD.RETURN_INVALID );
            miningSchema.getMiningFields().add( miningField );

            extension = new Extension();
            extension.setName( PMMLExtensionNames.CHARACTERTISTIC_EXTERNAL_CLASS );
            extension.setValue( characteristic.getFact() );
            miningField.getExtensions().add( extension );

            final String[] numericOperators = new String[]{ "=", ">", "<", ">=", "<=" };
            for ( final org.drools.guvnor.models.guided.scorecard.shared.Attribute attribute : characteristic.getAttributes() ) {
                final Attribute _attribute = new Attribute();
                _characteristic.getAttributes().add( _attribute );

                extension = new Extension();
                extension.setName( PMMLExtensionNames.CHARACTERTISTIC_FIELD );
                extension.setValue( characteristic.getField() );
                _attribute.getExtensions().add( extension );

                if ( model.isUseReasonCodes() ) {
                    _attribute.setReasonCode( attribute.getReasonCode() );
                }
                _attribute.setPartialScore( attribute.getPartialScore() );

                final String operator = attribute.getOperator();
                final String dataType = characteristic.getDataType();
                String predicateResolver;
                if ( "boolean".equalsIgnoreCase( dataType ) ) {
                    predicateResolver = operator.toUpperCase();
                } else if ( "String".equalsIgnoreCase( dataType ) ) {
                    if ( operator.contains( "=" ) ) {
                        predicateResolver = operator + attribute.getValue();
                    } else {
                        predicateResolver = attribute.getValue() + ",";
                    }
                } else {
                    if ( ArrayUtils.contains( numericOperators, operator ) ) {
                        predicateResolver = operator + " " + attribute.getValue();
                    } else {
                        predicateResolver = attribute.getValue().replace( ",", "-" );
                    }
                }
                extension = new Extension();
                extension.setName( "predicateResolver" );
                extension.setValue( predicateResolver );
                _attribute.getExtensions().add( extension );
            }
        }

        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( miningSchema );
        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( output );
        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( characteristics );
        return new PMMLGenerator().generateDocument( pmmlScorecard );
    }
View Full Code Here

Examples of org.dmg.pmml.pmml_4_1.descr.Scorecard

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            assertNotNull(pmmlDocument);
            String drl = scorecardCompiler.getDRL();
            assertNotNull(drl);
            for (Object serializable : pmmlDocument.getAssociationModelsAndBaselineModelsAndClusteringModels()){
                if (serializable instanceof Scorecard){
                    Scorecard scorecard = (Scorecard)serializable;
                    assertEquals("Sample Score",scorecard.getModelName());
                    Extension extension = ScorecardPMMLUtils.getExtension(scorecard.getExtensionsAndCharacteristicsAndMiningSchemas(), ScorecardPMMLExtensionNames.SCORECARD_SCORING_STRATEGY);
                    assertNotNull(extension);
                    assertEquals( extension.getValue(), AggregationStrategy.AGGREGATE_SCORE.toString() );
                    return;
                }
            }
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