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From source file:com.jeefuse.system.security.model.GsysRole.java
/** @generated */ @Override/*from www .ja v a2 s . co m*/ public String toString() { return new ToStringBuilder(this, ToStringStyle.MULTI_LINE_STYLE).append("id", id).append("name", name) .append("displayName", displayName).append("descript", descript) // .append("gsysRelRoleFunctions",gsysRelRoleFunctions).append("gsysRelRoleResources",gsysRelRoleResources).append("gsysRelUserRoles",gsysRelUserRoles) .toString(); }
From source file:gov.nih.nci.coppa.services.client.ClientUtils.java
private static <E> void printString(E result) { System.out.println(ToStringBuilder.reflectionToString(result, ToStringStyle.MULTI_LINE_STYLE)); }
From source file:com.gemini.provision.network.openstack.NetworkProviderOpenStackImpl.java
@Override public List<GeminiNetwork> getNetworks(GeminiTenant tenant, GeminiEnvironment env) { //authenticate the session with the OpenStack installation OSClient os = OSFactory.builder().endpoint(env.getEndPoint()) .credentials(env.getAdminUserName(), env.getAdminPassword()).tenantName(tenant.getName()) .authenticate();//from w w w .j a v a2 s. c om if (os == null) { Logger.error("Failed to authenticate Tenant: {}", ToStringBuilder.reflectionToString(tenant, ToStringStyle.MULTI_LINE_STYLE)); return null; } //get all the subnets List<? extends Network> networks = os.networking().network().list(); List<GeminiNetwork> gemNetworks = new ArrayList(); //map the list of network gateways and their subnets to gemini equivalents networks.stream().forEach(osn -> { GeminiNetwork gn = null; try { //first see if this network belongs to an application gn = env.getApplications().stream().map(GeminiApplication::getNetworks).flatMap(List::stream) //invoke the getNetworks on each application and convert the result into one large stream .filter(n -> n.getCloudID().equals(osn.getId())) //filter on the OpenStack network object cloud id .findFirst().get(); gn.setCloudID(osn.getId()); //in the event the ID has not been updated } catch (NoSuchElementException | NullPointerException e) { //not part of an application, see if it is in the orphan list try { gn = env.getOrphanNetworks().stream().filter(n -> n.getCloudID().equals(osn.getId())) //filter on the OpenStack network object cloud id .findFirst().get(); } catch (NoSuchElementException | NullPointerException ex) { //not an error, just log the event. the network object will be created below Logger.debug("Network {} not mapped in Gemini models, creating one...", osn.getName()); } } GeminiNetwork newGn = null; if (gn == null) { newGn = new GeminiNetwork(); newGn.setName(osn.getName()); newGn.setCloudID(osn.getId()); if (osn.getNetworkType() != null) { newGn.setNetworkType(osn.getNetworkType().name()); } //we don't which application this network belongs to... so add it to orphan networks list env.addOrphanNetwork(newGn); gn = newGn; } //add the subnets to the new network. For some reason Network::getNeutronSubnets //always returned null. List all subnets and filter by the parent network id List<? extends Subnet> osSubnets = os.networking().subnet().list(); if (osSubnets != null && !osSubnets.isEmpty() && osSubnets.stream().anyMatch(osSubnet -> osSubnet.getNetworkId().equals(osn.getId()))) { GeminiNetwork tmpParent = newGn == null ? gn : newGn; osSubnets.stream().filter(osSubnet -> osSubnet.getNetworkId().equals(osn.getId())) .forEach(osSubnet -> { if (tmpParent.getSubnets().stream() .noneMatch(s -> s.getName().equals(osSubnet.getName()))) { //this subnet is not mapped on the Gemini side GeminiSubnet geminiSubnet = new GeminiSubnet(); geminiSubnet.setCloudID(osSubnet.getId()); geminiSubnet.setParent(tmpParent); geminiSubnet.setCidr(osSubnet.getCidr()); geminiSubnet.setName(osSubnet.getName()); geminiSubnet.setEnableDHCP(osSubnet.isDHCPEnabled()); geminiSubnet.setParent(tmpParent); geminiSubnet.setNetworkType( osSubnet.getIpVersion() == IPVersionType.V4 ? IPAddressType.IPv4 : IPAddressType.IPv6); // try { // geminiSubnet.setGateway(env.getGateways().stream().filter(g -> g.getName().equals(osSubnet.getGateway())).findAny().get()); // } catch (NoSuchElementException | NullPointerException ex) { // Logger.error("Subnet {} has a gateway that isn't mappeed to a an object in Gemini. Gateway {}", // geminiSubnet.getName(), osSubnet.getGateway()); // geminiSubnet.setGateway(null); // } osSubnet.getAllocationPools().stream().forEach(ap -> { GeminiSubnetAllocationPool geminiAp = new GeminiSubnetAllocationPool( InetAddresses.forString(ap.getStart()), InetAddresses.forString(ap.getEnd())); geminiAp.setParent(geminiSubnet); geminiSubnet.addAllocationPool(geminiAp); }); tmpParent.addSubnet(geminiSubnet); } }); } gemNetworks.add(gn); }); return gemNetworks; }
From source file:com.likethecolor.alchemy.api.entity.MicroformatAlchemyEntityTest.java
@Test public void testToString_Formatted() { final ToStringStyle style = ToStringStyle.MULTI_LINE_STYLE; final String data = "RelTagLink"; final String field = "/wiki/Category:Specifications"; final MicroformatAlchemyEntity entity = new MicroformatAlchemyEntity(data, field); final String expectedString = new ToStringBuilder(entity, style).append("data", data).append("field", field) .toString();/* w ww.j a va 2 s . c om*/ final String actualString = entity.toString(style); assertEquals(expectedString, actualString); }
From source file:com.jeefuse.system.log.model.GsysOperatelog.java
/** @generated */ @Override/*from w ww. j a va2 s . c om*/ public String toString() { return new ToStringBuilder(this, ToStringStyle.MULTI_LINE_STYLE).append("id", getId()) .append("loginIp", loginIp).append("createdate", createdate).append("message", message) .append("kind", kind).append("detail", detail)// .append("gsysUser",gsysUser) .toString(); }
From source file:edu.harvard.iq.dataverse.rserve.RemoteDataFrameService.java
public Map<String, String> execute(RJobRequest sro) { dbgLog.fine("RemoteDataFrameService: execute() starts here."); // set the return object Map<String, String> result = new HashMap<String, String>(); try {/*from w w w . j a v a2s. co m*/ // TODO: // Split the code below into neat individual methods - for // initializing the connection, loading the remote libraries, // creating remote R vectors for the parameters that will be used // to create the data frame - variable names, labels, etc., and // executing the main request and any necessary post-processing // -- L.A. 4.0 alpha 1 // Set up an Rserve connection dbgLog.fine("sro dump:\n" + ToStringBuilder.reflectionToString(sro, ToStringStyle.MULTI_LINE_STYLE)); dbgLog.fine("RSERVE_USER=" + RSERVE_USER + "[default=rserve]"); dbgLog.fine("RSERVE_PASSWORD=" + RSERVE_PWD + "[default=rserve]"); dbgLog.fine("RSERVE_PORT=" + RSERVE_PORT + "[default=6311]"); dbgLog.fine("RSERVE_HOST=" + RSERVE_HOST); RConnection c = new RConnection(RSERVE_HOST, RSERVE_PORT); c.login(RSERVE_USER, RSERVE_PWD); dbgLog.info(">" + c.eval("R.version$version.string").asString() + "<"); // check working directories // This needs to be done *before* we try to create any files // there! setupWorkingDirectory(c); // send the data file to the Rserve side: String infile = sro.getTabularDataFileName(); InputStream inb = new BufferedInputStream(new FileInputStream(infile)); int bufsize; byte[] bffr = new byte[1024]; RFileOutputStream os = c.createFile(tempFileNameIn); while ((bufsize = inb.read(bffr)) != -1) { os.write(bffr, 0, bufsize); } os.close(); inb.close(); // Rserve code starts here dbgLog.fine("wrkdir=" + RSERVE_TMP_DIR); String RversionLine = "R.Version()$version.string"; String Rversion = c.eval(RversionLine).asString(); // We need to initialize our R session: // send custom R code library over to the Rserve and load the code: String rscript = readLocalResource(DATAVERSE_R_FUNCTIONS); c.voidEval(rscript); dbgLog.fine("raw variable type=" + sro.getVariableTypes()); c.assign("vartyp", new REXPInteger(sro.getVariableTypes())); String[] tmpt = c.eval("vartyp").asStrings(); dbgLog.fine("vartyp length=" + tmpt.length + "\t " + StringUtils.join(tmpt, ",")); // variable *formats* - not to be confused with variable *types*! // these specify extra, optional format specifications - for example, // String variables may represent date and time values. Map<String, String> tmpFmt = sro.getVariableFormats(); dbgLog.fine("tmpFmt=" + tmpFmt); // In the fragment below we create an R list varFrmt storing // these format specifications: if (tmpFmt != null) { Set<String> vfkeys = tmpFmt.keySet(); String[] tmpfk = (String[]) vfkeys.toArray(new String[vfkeys.size()]); String[] tmpfv = getValueSet(tmpFmt, tmpfk); c.assign("tmpfk", new REXPString(tmpfk)); c.assign("tmpfv", new REXPString(tmpfv)); String fmtNamesLine = "names(tmpfv)<- tmpfk"; c.voidEval(fmtNamesLine); String fmtValuesLine = "varFmt<- as.list(tmpfv)"; c.voidEval(fmtValuesLine); } else { String[] varFmtN = {}; List<String> varFmtV = new ArrayList<String>(); c.assign("varFmt", new REXPList(new RList(varFmtV, varFmtN))); } // Variable names: String[] jvnamesRaw = sro.getVariableNames(); String[] jvnames = null; if (sro.hasUnsafeVariableNames) { // create list jvnames = sro.safeVarNames; dbgLog.fine("renamed=" + StringUtils.join(jvnames, ",")); } else { jvnames = jvnamesRaw; } c.assign("vnames", new REXPString(jvnames)); // confirm: String[] tmpjvnames = c.eval("vnames").asStrings(); dbgLog.fine("vnames:" + StringUtils.join(tmpjvnames, ",")); // read.dataverseTabData method, from dataverse_r_functions.R, // uses R's standard scan() function to read the tabular data we've // just transfered over and turn it into a dataframe. It adds some // custom post-processing too - restores missing values, converts // strings representing dates and times into R date and time objects, // and more. // Parameters for the read.dataverseTabData method executed on the R side: // file -> tempFileName // col.names -> Arrays.deepToString(new REXPString(jvnames)).asStrings()) // colClassesx -> Arrays.deepToString((new REXPInteger(sro.getVariableTypes())).asStrings()) // varFormat -> Arrays.deepToString((new REXPString(getValueSet(tmpFmt, tmpFmt.keySet().toArray(new String[tmpFmt.keySet().size()])))).asStrings()) dbgLog.fine("read.dataverseTabData parameters:"); dbgLog.fine("col.names = " + Arrays.deepToString((new REXPString(jvnames)).asStrings())); dbgLog.fine( "colClassesx = " + Arrays.deepToString((new REXPInteger(sro.getVariableTypes())).asStrings())); dbgLog.fine("varFormat = " + Arrays.deepToString((new REXPString( getValueSet(tmpFmt, tmpFmt.keySet().toArray(new String[tmpFmt.keySet().size()])))) .asStrings())); String readtableline = "x<-read.dataverseTabData(file='" + tempFileNameIn + "', col.names=vnames, colClassesx=vartyp, varFormat=varFmt )"; dbgLog.fine("readtable=" + readtableline); c.voidEval(readtableline); if (sro.hasUnsafeVariableNames) { dbgLog.fine("unsafeVariableNames exist"); jvnames = sro.safeVarNames; String[] rawNameSet = sro.renamedVariableArray; String[] safeNameSet = sro.renamedResultArray; c.assign("tmpRN", new REXPString(rawNameSet)); c.assign("tmpSN", new REXPString(safeNameSet)); String raw2safevarNameTableLine = "names(tmpRN)<- tmpSN"; c.voidEval(raw2safevarNameTableLine); String attrRsafe2rawLine = "attr(x, 'Rsafe2raw')<- as.list(tmpRN)"; c.voidEval(attrRsafe2rawLine); } else { String attrRsafe2rawLine = "attr(x, 'Rsafe2raw')<-list();"; c.voidEval(attrRsafe2rawLine); } // Restore NAs (missign values) in the data frame: // (these are encoded as empty strings in dataverse tab files) // Why are we doing it here? And not in the dataverse_r_functions.R // fragment? String asIsline = "for (i in 1:dim(x)[2]){ " + "if (attr(x,'var.type')[i] == 0) {" + "x[[i]]<-I(x[[i]]); x[[i]][ x[[i]] == '' ]<-NA }}"; c.voidEval(asIsline); String[] varLabels = sro.getVariableLabels(); c.assign("varlabels", new REXPString(varLabels)); String attrVarLabelsLine = "attr(x, 'var.labels')<-varlabels"; c.voidEval(attrVarLabelsLine); // Confirm: String[] vlbl = c.eval("attr(x, 'var.labels')").asStrings(); dbgLog.fine("varlabels=" + StringUtils.join(vlbl, ",")); // create the VALTABLE and VALORDER lists: c.voidEval("VALTABLE<-list()"); c.voidEval("VALORDER<-list()"); //In the fragment below, we'll populate the VALTABLE list that we've // just created with the actual values and labels of our categorical varaibles. // TODO: // This code has been imported from the DVN v2-3 // implementation. I keep wondering if there is a simpler way to // achive this - to pass these maps of values and labels to R // in fewer steps/with less code - ? // -- L.A. 4.3 Map<String, Map<String, String>> vltbl = sro.getValueTable(); Map<String, List<String>> orderedCategoryValues = sro.getCategoryValueOrders(); String[] variableIds = sro.getVariableIds(); for (int j = 0; j < variableIds.length; j++) { // if this variable has a value-label table, // pass its key and value arrays to Rserve; // finalize a value-table on the Rserve side: String varId = variableIds[j]; if (vltbl.containsKey(varId)) { Map<String, String> tmp = (HashMap<String, String>) vltbl.get(varId); Set<String> vlkeys = tmp.keySet(); String[] tmpk = (String[]) vlkeys.toArray(new String[vlkeys.size()]); String[] tmpv = getValueSet(tmp, tmpk); dbgLog.fine("tmp:k=" + StringUtils.join(tmpk, ",")); dbgLog.fine("tmp:v=" + StringUtils.join(tmpv, ",")); // index number starts from 1(not 0): int indx = j + 1; dbgLog.fine("index=" + indx); if (tmpv.length > 0) { c.assign("tmpk", new REXPString(tmpk)); c.assign("tmpv", new REXPString(tmpv)); String namesValueLine = "names(tmpv)<- tmpk"; c.voidEval(namesValueLine); String sbvl = "VALTABLE[['" + Integer.toString(indx) + "']]" + "<- as.list(tmpv)"; dbgLog.fine("frag=" + sbvl); c.voidEval(sbvl); // confirmation test for j-th variable name REXP jl = c.parseAndEval(sbvl); dbgLog.fine("jl(" + j + ") = " + jl); } } // If this is an ordered categorical value (and that means, // it was produced from an ordered factor, from an ingested // R data frame, since no other formats we support have // ordered categoricals), we'll also supply a list of these // ordered values: if (orderedCategoryValues != null && orderedCategoryValues.containsKey(varId)) { int indx = j + 1; List<String> orderList = orderedCategoryValues.get(varId); if (orderList != null) { String[] ordv = (String[]) orderList.toArray(new String[orderList.size()]); dbgLog.fine("ordv=" + StringUtils.join(ordv, ",")); c.assign("ordv", new REXPString(ordv)); String sbvl = "VALORDER[['" + Integer.toString(indx) + "']]" + "<- as.list(ordv)"; dbgLog.fine("VALORDER[...]=" + sbvl); c.voidEval(sbvl); } else { dbgLog.fine("NULL orderedCategoryValues list."); } } } // And now we store the VALTABLE and MSVLTBL as attributes of the // dataframe we are cooking: dbgLog.fine("length of vl=" + c.eval("length(VALTABLE)").asInteger()); String attrValTableLine = "attr(x, 'val.table')<-VALTABLE"; c.voidEval(attrValTableLine); String msvStartLine = "MSVLTBL<-list();"; c.voidEval(msvStartLine); String attrMissvalLine = "attr(x, 'missval.table')<-MSVLTBL"; c.voidEval(attrMissvalLine); // But we are not done, with these value label maps... We now need // to call these methods from the dataverse_r_functions.R script // to further process the lists. Among other things, they will // create these new lists - value index and missing value index, that // simply indicate which variables have any of the above; these will // also be saved as attributes of the data frame, val.index and // missval.index respectively. But, also, the methods will reprocess // and overwite the val.table and missval.table attributes already stored in // the dataframe. I don't fully understand why that is necessary, or what it is // that we are actually adding to the lists there... Another TODO: ? String createVIndexLine = "x<-createvalindex(dtfrm=x, attrname='val.index');"; c.voidEval(createVIndexLine); String createMVIndexLine = "x<-createvalindex(dtfrm=x, attrname='missval.index');"; c.voidEval(createMVIndexLine); // And now we'll call the last method from the R script - createDataverseDataFrame(); // It should probably be renamed. The dataframe has already been created. // what this method does, it goes through the frame, and changes the // vectors representing categorical variables to R factors. // For example, if this tabular file was produced from a Stata file // that had a categorical in which "Male" and "Female" were represented // with 0 and 1. In the Dataverse datbase, the string values "Male" and // "Female" are now stored as "categorical value labels". And the column // in the tab file has numeric 1 and 0s. That's what the R // dataframe was created from, so it now has a numeric vector of 1s and 0s // representing this variable. So in this step we are going // to change this vector into a factor, using the labels and values // that we already passed over via Rserve and stored in the val.table, above. // TODO: // I'm going to propose that we go back to what we used to do back in // DVN 2-3.* - instead of giving the user a single dataframe (.RData) // file, provide a zip file, with the data frame, and also a README // file with some documentation explaining how the data frame was // created, and pointing out some potential issues stemming from the // conversion between formats. Converting Stata categoricals into // R factors is one of such issues (if nothing else, do note that // the UNF of the datafile with the column described in the example // above will change, if the resulting R dataframe is reingested! See // the UNF documentation for more info...). We may also make this // download interactive - giving the user some options for how // to handle the conversion (so, another choice would be to convert // the above to a factor of "0" and "1"s), etc. // -- L.A. 4.3 String dataFileName = "Data." + PID + "." + sro.getFormatRequested(); // data file to be copied back to the dvn String dsnprfx = RSERVE_TMP_DIR + "/" + dataFileName; String dataverseDataFrameCommand = "createDataverseDataFrame(dtfrm=x," + "dwnldoptn='" + sro.getFormatRequested() + "'" + ", dsnprfx='" + dsnprfx + "')"; c.voidEval(dataverseDataFrameCommand); int wbFileSize = getFileSize(c, dsnprfx); dbgLog.fine("wbFileSize=" + wbFileSize); // If the above succeeded, the dataframe has been saved on the // Rserve side as an .Rdata file. Now we can transfer it back to the // dataverse side: File localDataFrameFile = transferRemoteFile(c, dsnprfx, RWRKSP_FILE_PREFIX, "RData", wbFileSize); result.put("dataFrameFileName", localDataFrameFile.getAbsolutePath()); if (localDataFrameFile != null) { dbgLog.fine("data frame file name: " + localDataFrameFile.getAbsolutePath()); } else { dbgLog.fine("data frame file is null!"); // throw an exception?? } result.put("Rversion", Rversion); dbgLog.fine("result object (before closing the Rserve):\n" + result); String deleteLine = "file.remove('" + tempFileNameIn + "')"; c.eval(deleteLine); c.close(); } catch (RserveException rse) { // RserveException (Rserve is not running maybe?) // TODO: *ABSOLUTELY* need more diagnostics here! rse.printStackTrace(); result.put("RexecError", "true"); return result; } catch (REXPMismatchException mme) { mme.printStackTrace(); result.put("RexecError", "true"); return result; } catch (IOException ie) { ie.printStackTrace(); result.put("RexecError", "true"); return result; } catch (Exception ex) { ex.printStackTrace(); result.put("RexecError", "true"); return result; } return result; }
From source file:net.rrm.ehour.config.EhourConfigJdbc.java
@Override public String toString() { return new ToStringBuilder(this, ToStringStyle.MULTI_LINE_STYLE) .append("completeDayHours", getCompleteDayHours()).append("isShowTurnover", isShowTurnover()) .append("currencySymbol", getCurrencySymbol()).append("currencyCode", getCurrencyCode()).toString(); }
From source file:com.sonatype.security.ldap.api.MarshalUnmarchalTest.java
private String toDebugString(Object obj) { return ToStringBuilder.reflectionToString(obj, ToStringStyle.MULTI_LINE_STYLE); }
From source file:com.xtructure.xneat.network.impl.Neuron.java
@Override public String toString() { return new ToStringBuilder(this, ToStringStyle.MULTI_LINE_STYLE)// .append(getActivationSlope())// .toString();/* ww w. j a va2 s . com*/ }
From source file:com.taobao.itest.spring.aop.LogInterceptor.java
private String stringBuilder(Object obj) { if (null == obj) { return null; }//from ww w.j a v a 2s . co m if (ReflectionUtils.findMethod(obj.getClass(), "toString") != null) { return obj.toString(); } else { return ToStringBuilder.reflectionToString(obj, ToStringStyle.MULTI_LINE_STYLE); } }