Total Complexity | 42 |
Total Lines | 323 |
Duplicated Lines | 32.82 % |
Changes | 1 | ||
Bugs | 0 | Features | 1 |
Duplicate code is one of the most pungent code smells. A rule that is often used is to re-structure code once it is duplicated in three or more places.
Common duplication problems, and corresponding solutions are:
Complex classes like br.ufrj.ppgi.greco.kettle.GraphSemanticLevelMarkerStep often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
1 | package br.ufrj.ppgi.greco.kettle; |
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49 | public class GraphSemanticLevelMarkerStep extends BaseStep implements StepInterface { |
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50 | |||
51 | static Integer assessedValueLevel; |
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52 | |||
53 | public GraphSemanticLevelMarkerStep(StepMeta stepMeta, StepDataInterface stepDataInterface, int copyNr, |
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54 | TransMeta transMeta, Trans trans) { |
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55 | super(stepMeta, stepDataInterface, copyNr, transMeta, trans); |
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56 | } |
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57 | |||
58 | @Override |
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59 | public boolean init(StepMetaInterface smi, StepDataInterface sdi) { |
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60 | if (super.init(smi, sdi)) { |
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61 | return true; |
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62 | } else |
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63 | return false; |
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64 | } |
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65 | |||
66 | @Override |
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67 | public void dispose(StepMetaInterface smi, StepDataInterface sdi) { |
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68 | super.dispose(smi, sdi); |
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69 | } |
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70 | |||
71 | /** |
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72 | * Metodo chamado para cada linha que entra no step |
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73 | */ |
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74 | View Code Duplication | public boolean processRow(StepMetaInterface smi, StepDataInterface sdi) throws KettleException { |
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75 | GraphSemanticLevelMarkerStepMeta meta = (GraphSemanticLevelMarkerStepMeta) smi; |
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76 | GraphSemanticLevelMarkerStepData data = (GraphSemanticLevelMarkerStepData) sdi; |
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77 | |||
78 | String rulesFileName = meta.getRulesFilename(); |
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79 | String LOVFileName = meta.getBrowseFilename(); |
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80 | |||
81 | // Obtem linha do fluxo de entrada e termina caso nao haja mais entrada |
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82 | Object[] row = getRow(); |
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83 | if (row == null) { // Nao ha mais linhas de dados |
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84 | setOutputDone(); |
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85 | return false; |
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86 | } |
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87 | |||
88 | // Executa apenas uma vez. Variavel first definida na superclasse com |
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89 | // valor true |
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90 | if (first) { |
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91 | first = false; |
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92 | |||
93 | // Obtem todas as colunas ateh o step anterior. |
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94 | // Chamar apenas apos chamar getRow() |
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95 | data.outputRowMeta = new RowMeta(); |
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96 | |||
97 | // Adiciona os metadados do step atual |
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98 | meta.getFields(data.outputRowMeta, getStepname(), null, null, this); |
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99 | } |
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100 | |||
101 | // Logica do step |
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102 | // Leitura de campos Input |
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103 | RowMetaInterface rowMeta = getInputRowMeta(); |
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104 | int indexGraph = rowMeta.indexOfValue(meta.getInputGraph()); |
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105 | Object graph = (indexGraph >= 0) ? row[indexGraph] : null; |
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106 | |||
107 | // Set output row |
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108 | Method[] methods = graph.getClass().getMethods(); |
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109 | boolean hasListStatements = false; |
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110 | for (Method method : methods) { |
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111 | if (method.getName().equals("listStatements")) { |
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112 | hasListStatements = true; |
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113 | break; |
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114 | } |
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115 | } |
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116 | |||
117 | if (hasListStatements) { |
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118 | tripleWriter(graph, null, data, rulesFileName, LOVFileName); |
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119 | } |
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120 | |||
121 | return true; |
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122 | } |
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123 | |||
124 | private int tripleWriter(Object model, Object[] row, GraphSemanticLevelMarkerStepData data, String rulesFileName, |
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125 | String LOVFileName) throws KettleStepException { |
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126 | int numPutRows = 0; |
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127 | |||
128 | try { |
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129 | // Recreates the graph sent by the previous step |
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130 | Model inputRecreatedGraph = recreateGraph(model); |
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131 | |||
132 | // Identify inputGraph Semantic Level |
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133 | Statement stamp = markGraphSemanticLevel(inputRecreatedGraph, rulesFileName, LOVFileName); |
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134 | |||
135 | // Creates output with the semantic level stamp |
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136 | Object[] outputRow = row; |
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137 | int i = 0; |
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138 | outputRow = RowDataUtil.addValueData(outputRow, i++, stamp.getSubject().toString()); |
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139 | outputRow = RowDataUtil.addValueData(outputRow, i++, stamp.getPredicate().toString()); |
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140 | outputRow = RowDataUtil.addValueData(outputRow, i++, stamp.getObject().toString()); |
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141 | |||
142 | // Joga tripla no fluxo |
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143 | putRow(data.outputRowMeta, outputRow); |
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144 | |||
145 | numPutRows++; |
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146 | |||
147 | } |
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148 | |||
149 | catch (SecurityException e) { |
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150 | // TODO Auto-generated catch block |
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151 | e.printStackTrace(); |
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152 | } |
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153 | |||
154 | return numPutRows; |
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155 | } |
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156 | |||
157 | private Model recreateGraph(Object model) { |
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158 | |||
159 | // Recreates a Model from a Object |
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160 | Object it = null; |
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161 | Model inputModel = ModelFactory.createDefaultModel(); |
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162 | |||
163 | try { |
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164 | it = model.getClass().getMethod("listStatements").invoke(model); |
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165 | while ((Boolean) it.getClass().getMethod("hasNext").invoke(it)) { |
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166 | Object stmt = it.getClass().getMethod("next").invoke(it); |
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167 | |||
168 | String subject = stmt.getClass().getMethod("getSubject").invoke(stmt).toString(); |
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169 | String predicate = stmt.getClass().getMethod("getPredicate").invoke(stmt).toString(); |
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170 | String object = stmt.getClass().getMethod("getObject").invoke(stmt).toString(); |
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171 | |||
172 | Resource r = ResourceFactory.createResource(subject); |
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173 | Property p = ResourceFactory.createProperty(predicate); |
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174 | inputModel.add(r, p, object); |
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175 | |||
176 | } |
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177 | |||
178 | } catch (IllegalAccessException e) { |
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179 | // TODO Auto-generated catch block |
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180 | e.printStackTrace(); |
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181 | } catch (IllegalArgumentException e) { |
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182 | // TODO Auto-generated catch block |
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183 | e.printStackTrace(); |
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184 | } catch (InvocationTargetException e) { |
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185 | // TODO Auto-generated catch block |
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186 | e.printStackTrace(); |
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187 | } catch (NoSuchMethodException e) { |
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188 | // TODO Auto-generated catch block |
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189 | e.printStackTrace(); |
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190 | } catch (SecurityException e) { |
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191 | // TODO Auto-generated catch block |
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192 | e.printStackTrace(); |
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193 | } |
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194 | |||
195 | return inputModel; |
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196 | } |
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197 | |||
198 | private Statement markGraphSemanticLevel(Model inputModel, String rulesFileName, String LOVFileName) { |
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199 | // Variables initializations |
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200 | ResIterator resourceSet = inputModel.listSubjects(); |
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201 | Model innerModel = ModelFactory.createDefaultModel(); |
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202 | Resource r = resourceSet.nextResource(); |
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203 | Property p = ResourceFactory.createProperty("sstamp:hassemanticlevel"); |
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204 | |||
205 | // Tive que criar um model para trabalhar com um Resource |
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206 | Statement outputGraphSemanticLevel = innerModel.createStatement(r, p, "sstamp:notMarked"); |
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207 | |||
208 | // Identify the levels of each statement on the inputGraph |
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209 | StmtIterator statementSet = inputModel.listStatements(); |
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210 | Integer valueLevel = 0; |
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211 | |||
212 | while (statementSet.hasNext()) { |
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213 | Statement s = statementSet.nextStatement(); |
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214 | |||
215 | String semanticLevel = assessSemanticLevel(s, rulesFileName, LOVFileName); |
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216 | |||
217 | if (valueLevel < assessedValueLevel) { |
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218 | outputGraphSemanticLevel = innerModel.createStatement(r, p, semanticLevel); |
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219 | valueLevel = assessedValueLevel; |
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220 | |||
221 | } |
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222 | |||
223 | } |
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224 | return outputGraphSemanticLevel; |
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225 | } |
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226 | |||
227 | private static String assessSemanticLevel(Statement s, String rulesFileName, String LOVFileName) { |
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228 | Interpreter i = new Interpreter(); |
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229 | |||
230 | String assessedDescriptionLevel = "NotIdentified"; |
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231 | |||
232 | // Is Literal? |
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233 | // if (s.getLiteral() != null) |
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234 | // assessedLevel="laiid:low"; |
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235 | |||
236 | String inputSubject = s.getSubject().toString(); |
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237 | String inputPredicate = s.getPredicate().toString(); |
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238 | String inputObject = s.getObject().toString(); |
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239 | |||
240 | try { |
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241 | // Open LOV xml file |
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242 | DocumentBuilderFactory docBuilderFactory2 = DocumentBuilderFactory.newInstance(); |
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243 | DocumentBuilder docBuilder2 = docBuilderFactory2.newDocumentBuilder(); |
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244 | Document doc2 = docBuilder2.parse(new File(LOVFileName.toString())); |
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245 | |||
246 | // Open SemanticLevelFrameWork files |
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247 | DocumentBuilderFactory docBuilderFactory = DocumentBuilderFactory.newInstance(); |
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248 | DocumentBuilder docBuilder = docBuilderFactory.newDocumentBuilder(); |
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249 | Document doc = docBuilder.parse(new File(rulesFileName)); |
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250 | NodeList listOfFrames = doc.getElementsByTagName("Frame"); |
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251 | int totalFrames = listOfFrames.getLength(); |
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252 | |||
253 | // valida variaveis para o interpreter |
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254 | i.set("inputSubject", inputSubject); |
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255 | i.set("inputPredicate", inputPredicate); |
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256 | i.set("inputObject", inputObject); |
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257 | |||
258 | // Get Prefix |
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259 | String prefixo = ""; |
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260 | if (inputPredicate.contains(":")) { |
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261 | int index = inputPredicate.indexOf(":"); |
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262 | prefixo = inputPredicate.substring(0, index); |
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263 | } |
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264 | |||
265 | i.set("isVocabulary", isVocabulary(prefixo, doc2)); |
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266 | i.set("isOntology", isOntology(prefixo, doc2)); |
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267 | i.set("s", s); |
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268 | |||
269 | // busca as regras |
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270 | for (int k = 0; k < totalFrames; k++) { |
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271 | Node ruleFrameNode = listOfFrames.item(k); |
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272 | if (ruleFrameNode.getNodeType() == Node.ELEMENT_NODE) { |
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273 | Element ruleFrameElement = (Element) ruleFrameNode; |
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274 | NodeList ruleList = ruleFrameElement.getElementsByTagName("Rule"); |
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275 | Element ruleElement = (Element) ruleList.item(0); |
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276 | NodeList textRList = ruleElement.getChildNodes(); |
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277 | NodeList levelValueList = ruleFrameElement.getElementsByTagName("LevelValue"); |
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278 | Element levelValueElement = (Element) levelValueList.item(0); |
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279 | NodeList levelDescriptionList = ruleFrameElement.getElementsByTagName("LevelDescription"); |
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280 | Element levelDescriptionElement = (Element) levelDescriptionList.item(0); |
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281 | |||
282 | NodeList textLValueList = levelValueElement.getChildNodes(); |
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283 | NodeList textLDescriptionList = levelDescriptionElement.getChildNodes(); |
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284 | |||
285 | // Rule Evaluation |
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286 | if ((Boolean) i.eval(textRList.item(0).getNodeValue().trim())) { |
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287 | assessedDescriptionLevel = textLDescriptionList.item(0).getNodeValue().trim(); |
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288 | assessedValueLevel = Integer.valueOf(textLValueList.item(0).getNodeValue()); |
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289 | |||
290 | // TODO avaliar sair do for |
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291 | } |
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292 | } |
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293 | } |
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294 | |||
295 | } catch (ParserConfigurationException e) { |
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296 | // TODO Auto-generated catch block |
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297 | e.printStackTrace(); |
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298 | } catch (SAXException e) { |
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299 | // TODO Auto-generated catch block |
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300 | e.printStackTrace(); |
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301 | } catch (IOException e) { |
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302 | // TODO Auto-generated catch block |
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303 | e.printStackTrace(); |
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304 | } catch (EvalError e) { |
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305 | // TODO Auto-generated catch block |
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306 | e.printStackTrace(); |
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307 | } |
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308 | |||
309 | return assessedDescriptionLevel; |
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310 | } |
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311 | |||
312 | View Code Duplication | private static boolean isOntology(String prefix, Document doc) { |
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313 | NodeList listOfResults = doc.getElementsByTagName("result"); |
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314 | int totalResults = listOfResults.getLength(); |
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315 | for (int k = 0; k < totalResults; k++) { |
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316 | Node resultNode = listOfResults.item(k); |
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317 | Element resultElement = (Element) resultNode; |
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318 | NodeList bindingList = resultElement.getElementsByTagName("binding"); |
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319 | Element bindingPrefixElement = (Element) bindingList.item(0); |
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320 | NodeList literalList = bindingPrefixElement.getElementsByTagName("literal"); |
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321 | Element literalElement = (Element) literalList.item(0); |
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322 | NodeList textLiList = literalElement.getChildNodes(); |
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323 | if (prefix.equals(textLiList.item(0).getNodeValue().trim())) { |
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324 | Element bindingDescElement = (Element) bindingList.item(3); |
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325 | NodeList literalDescList = bindingDescElement.getElementsByTagName("literal"); |
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326 | Element literalDescElement = (Element) literalDescList.item(0); |
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327 | NodeList textDescList = literalDescElement.getChildNodes(); |
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328 | Element bindingTitleElement = (Element) bindingList.item(2); |
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329 | NodeList literalTitleList = bindingTitleElement.getElementsByTagName("literal"); |
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330 | Element literalTitleElement = (Element) literalTitleList.item(0); |
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331 | NodeList textTitleList = literalTitleElement.getChildNodes(); |
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332 | if (textDescList.item(0).getNodeValue().trim().toLowerCase().contains("ontology")) { |
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333 | return true; |
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334 | } |
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335 | if (textTitleList.item(0).getNodeValue().trim().toLowerCase().contains("ontology")) { |
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336 | return true; |
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337 | } |
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338 | } |
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339 | } |
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340 | return false; |
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341 | } |
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342 | |||
343 | View Code Duplication | private static boolean isVocabulary(String prefix, Document doc) { |
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344 | NodeList listOfResults = doc.getElementsByTagName("result"); |
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345 | int totalResults = listOfResults.getLength(); |
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346 | for (int k = 0; k < totalResults; k++) { |
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347 | Node resultNode = listOfResults.item(k); |
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348 | Element resultElement = (Element) resultNode; |
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349 | NodeList bindingList = resultElement.getElementsByTagName("binding"); |
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350 | Element bindingPrefixElement = (Element) bindingList.item(0); |
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351 | NodeList literalList = bindingPrefixElement.getElementsByTagName("literal"); |
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352 | Element literalElement = (Element) literalList.item(0); |
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353 | NodeList textLiList = literalElement.getChildNodes(); |
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354 | if (prefix.equals(textLiList.item(0).getNodeValue().trim())) { |
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355 | Element bindingDescElement = (Element) bindingList.item(3); |
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356 | NodeList literalDescList = bindingDescElement.getElementsByTagName("literal"); |
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357 | Element literalDescElement = (Element) literalDescList.item(0); |
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358 | NodeList textDescList = literalDescElement.getChildNodes(); |
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359 | Element bindingTitleElement = (Element) bindingList.item(2); |
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360 | NodeList literalTitleList = bindingTitleElement.getElementsByTagName("literal"); |
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361 | Element literalTitleElement = (Element) literalTitleList.item(0); |
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362 | NodeList textTitleList = literalTitleElement.getChildNodes(); |
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363 | if (textDescList.item(0).getNodeValue().trim().toLowerCase().contains("vocabulary")) { |
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364 | return true; |
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365 | } |
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366 | if (textTitleList.item(0).getNodeValue().trim().toLowerCase().contains("vocabulary")) { |
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367 | return true; |
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368 | } |
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369 | } |
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370 | } |
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371 | return false; |
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372 | } |
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375 |