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WPS | The 52North Web Processing Service enables the deployment | Dataset library

 by   52North Java Version: v4.0.0-beta.11 License: GPL-2.0

 by   52North Java Version: v4.0.0-beta.11 License: GPL-2.0

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kandi X-RAY | WPS Summary

WPS is a Java library typically used in Artificial Intelligence, Dataset applications. WPS has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
The 52°North Web Processing Service enables the deployment of geo-processes on the web in a standardized way.
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Support
Quality
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Security
Security
License
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kandi-support Support

  • WPS has a low active ecosystem.
  • It has 55 star(s) with 55 fork(s). There are 25 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 81 open issues and 36 have been closed. On average issues are closed in 127 days. There are 8 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of WPS is v4.0.0-beta.11
WPS Support
Best in #Dataset
Average in #Dataset
WPS Support
Best in #Dataset
Average in #Dataset

quality kandi Quality

  • WPS has 0 bugs and 0 code smells.
WPS Quality
Best in #Dataset
Average in #Dataset
WPS Quality
Best in #Dataset
Average in #Dataset

securitySecurity

  • WPS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • WPS code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
WPS Security
Best in #Dataset
Average in #Dataset
WPS Security
Best in #Dataset
Average in #Dataset

license License

  • WPS is licensed under the GPL-2.0 License. This license is Strong Copyleft.
  • Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
WPS License
Best in #Dataset
Average in #Dataset
WPS License
Best in #Dataset
Average in #Dataset

buildReuse

  • WPS releases are available to install and integrate.
  • Build file is available. You can build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
  • WPS saves you 82806 person hours of effort in developing the same functionality from scratch.
  • It has 91244 lines of code, 4183 functions and 948 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
WPS Reuse
Best in #Dataset
Average in #Dataset
WPS Reuse
Best in #Dataset
Average in #Dataset
Top functions reviewed by kandi - BETA

kandi has reviewed WPS and discovered the below as its top functions. This is intended to give you an instant insight into WPS implemented functionality, and help decide if they suit your requirements.

  • This method initializes the query
    • get complex data
      • Handle the file upload .
        • Parses output .
          • Creates the input file .
            • Add a parameter .
              • Process the form data .
                • Set the R work directory
                  • execute a R script
                    • Load parameters from a process descriptor

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      WPS Key Features

                      Java-based Open Source implementation.

                      Supports all features and operations of WPS specification version 1.0.0 (document 05-007r7)

                      Pluggable framework for algorithms and XML data handling and processing frameworks

                      Build up on robust libraries (JTS, geotools, XMLBeans, servlet API, derby)

                      Experimental transactional profile (WPS-T)

                      Web GUI to maintain the service

                      Development

                      copy iconCopydownload iconDownload
                      git clone https://github.com/52North/WPS.git
                      

                      GeoTools

                      copy iconCopydownload iconDownload
                      $ mvn clean install -P with-geotools
                      

                      Non-default configuration file

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                      $ mvn install -Dwps.config.file=/path/to/external/file/that/will/be/used
                      

                      Find XPath of next sibling python

                      copy iconCopydownload iconDownload
                      <td valign="top">
                        <script type="text/javascript">sjcap();</script>
                        <p>
                          <input type="text" id="uword" name="uword" class="" size="20"/>
                        </p>
                        <p>
                          <img src="/wps/PA_1_ATAGT15208O2F02M34340U0000/./cimg/31.jpg" width="290" height="80" alt=""/>
                        </p>
                      </td>
                      
                      //p[./input[@id="uword"]]/following-sibling::p/img/@src
                      
                      //p/input[@id="uword"]/../following-sibling::p/img/@src
                      
                      /wps/PA_1_ATAGT15208O2F02M34340U0000/./cimg/31.jpg
                      
                      <td valign="top">
                        <script type="text/javascript">sjcap();</script>
                        <p>
                          <input type="text" id="uword" name="uword" class="" size="20"/>
                        </p>
                        <p>
                          <img src="/wps/PA_1_ATAGT15208O2F02M34340U0000/./cimg/31.jpg" width="290" height="80" alt=""/>
                        </p>
                      </td>
                      
                      //p[./input[@id="uword"]]/following-sibling::p/img/@src
                      
                      //p/input[@id="uword"]/../following-sibling::p/img/@src
                      
                      /wps/PA_1_ATAGT15208O2F02M34340U0000/./cimg/31.jpg
                      
                      <td valign="top">
                        <script type="text/javascript">sjcap();</script>
                        <p>
                          <input type="text" id="uword" name="uword" class="" size="20"/>
                        </p>
                        <p>
                          <img src="/wps/PA_1_ATAGT15208O2F02M34340U0000/./cimg/31.jpg" width="290" height="80" alt=""/>
                        </p>
                      </td>
                      
                      //p[./input[@id="uword"]]/following-sibling::p/img/@src
                      
                      //p/input[@id="uword"]/../following-sibling::p/img/@src
                      
                      /wps/PA_1_ATAGT15208O2F02M34340U0000/./cimg/31.jpg
                      
                      <td valign="top">
                        <script type="text/javascript">sjcap();</script>
                        <p>
                          <input type="text" id="uword" name="uword" class="" size="20"/>
                        </p>
                        <p>
                          <img src="/wps/PA_1_ATAGT15208O2F02M34340U0000/./cimg/31.jpg" width="290" height="80" alt=""/>
                        </p>
                      </td>
                      
                      //p[./input[@id="uword"]]/following-sibling::p/img/@src
                      
                      //p/input[@id="uword"]/../following-sibling::p/img/@src
                      
                      /wps/PA_1_ATAGT15208O2F02M34340U0000/./cimg/31.jpg
                      

                      How does the characterOffset method of QXmlStreamReader work?

                      copy iconCopydownload iconDownload
                      file.seek(0);
                      const QByteArray data = file.readAll();
                      const QString str = QString::fromUtf8(data);
                      qDebug() << str.mid(startPositionElem, endPositionElem - startPositionElem);
                      
                      QTextStream stream(&file);
                      stream.seek(0);
                      stream.read(startPositionElem);
                      qDebug() << stream.read(endPositionElem - startPositionElem);
                      
                      file.seek(0);
                      const QByteArray data = file.readAll();
                      const QString str = QString::fromUtf8(data);
                      qDebug() << str.mid(startPositionElem, endPositionElem - startPositionElem);
                      
                      QTextStream stream(&file);
                      stream.seek(0);
                      stream.read(startPositionElem);
                      qDebug() << stream.read(endPositionElem - startPositionElem);
                      

                      How to extract a table from a website using BeautifulSoup?

                      copy iconCopydownload iconDownload
                      import requests
                      import pandas as pd
                      from bs4 import BeautifulSoup
                      
                      url = "https://www.nrcs.usda.gov/wps/portal/nrcs/detail/la/technical/cp/?cid=nrcs143_013697"
                      
                      soup = BeautifulSoup(requests.get(url).content, "html.parser")
                      df = pd.read_html(str(soup.select_one(".data")))[0]
                      # filter State == 'LA'
                      print(df[df.State == "LA"].head())
                      
                             FIPS        Name State
                      1109  22001      Acadia    LA
                      1110  22003       Allen    LA
                      1111  22005   Ascension    LA
                      1112  22007  Assumption    LA
                      1113  22009   Avoyelles    LA
                      
                      import requests
                      import pandas as pd
                      from bs4 import BeautifulSoup
                      
                      url = "https://www.nrcs.usda.gov/wps/portal/nrcs/detail/la/technical/cp/?cid=nrcs143_013697"
                      
                      soup = BeautifulSoup(requests.get(url).content, "html.parser")
                      df = pd.read_html(str(soup.select_one(".data")))[0]
                      # filter State == 'LA'
                      print(df[df.State == "LA"].head())
                      
                             FIPS        Name State
                      1109  22001      Acadia    LA
                      1110  22003       Allen    LA
                      1111  22005   Ascension    LA
                      1112  22007  Assumption    LA
                      1113  22009   Avoyelles    LA
                      
                      import requests
                      from bs4 import BeautifulSoup
                      import pandas as pd
                      
                      url = "https://www.nrcs.usda.gov/wps/portal/nrcs/detail/la/technical/cp/?cid=nrcs143_013697"
                      html_text = requests.get(url).text
                      soup = BeautifulSoup(html_text, 'html.parser')
                      data = []
                      for tr in soup.find('table', class_='data').find_all('tr'):
                          row = [td.text for td in tr.find_all('td')]
                          # If want to filter out all except LA then can do that here
                          if len(row) == 3 and row[2] == 'LA':
                              data.append(row)
                      df = pd.DataFrame(data, columns=['FIPS', 'Name', 'State'])
                      print(df)
                      
                           FIPS          Name State
                      0   22001        Acadia    LA
                      1   22003         Allen    LA
                      2   22005     Ascension    LA
                      3   22007    Assumption    LA
                      4   22009     Avoyelles    LA
                      ..    ...           ...   ...
                      63  22127          Winn    LA
                      
                      import requests
                      from bs4 import BeautifulSoup
                      import pandas as pd
                      
                      url = "https://www.nrcs.usda.gov/wps/portal/nrcs/detail/la/technical/cp/?cid=nrcs143_013697"
                      html_text = requests.get(url).text
                      soup = BeautifulSoup(html_text, 'html.parser')
                      data = []
                      for tr in soup.find('table', class_='data').find_all('tr'):
                          row = [td.text for td in tr.find_all('td')]
                          # If want to filter out all except LA then can do that here
                          if len(row) == 3 and row[2] == 'LA':
                              data.append(row)
                      df = pd.DataFrame(data, columns=['FIPS', 'Name', 'State'])
                      print(df)
                      
                           FIPS          Name State
                      0   22001        Acadia    LA
                      1   22003         Allen    LA
                      2   22005     Ascension    LA
                      3   22007    Assumption    LA
                      4   22009     Avoyelles    LA
                      ..    ...           ...   ...
                      63  22127          Winn    LA
                      

                      How to refer to or paste datasets into datalines in WPS (SAS)?

                      copy iconCopydownload iconDownload
                      libname mydat 'c:\myfiles';
                      proc means data=mydat.mydata;
                      run;
                      

                      Apache POI: Modify text in paragraph in textbox in docx

                      copy iconCopydownload iconDownload
                      XWPFTable embeddedTable = null;
                      try {
                          XmlObject[] tableXmlObjects = textBoxObjects[i].selectChildren(
                                  new QName("http://schemas.openxmlformats.org/wordprocessingml/2006/main", "tbl"));
                          for (int j = 0; j < tableXmlObjects.length; j++) {
                              embeddedTable = new XWPFTable(CTTbl.Factory.parse(tableXmlObjects[j].xmlText()), paragraph.getBody());
                              // Here you have your paragraph;
                              replaceInTable(embeddedTable, data);
                              tableXmlObjects[j].set(embeddedTable.getCTTbl());
                          }
                      } catch (XmlException e) {
                          // inform somebody or do something else
                      }
                      
                      private static void replaceInTable(XWPFTable tbl, Map<String, String> data)
                              throws Exception {
                          List<XWPFTableRow> rows = new ArrayList<>(tbl.getRows());
                          for (int rowIndex = 0; rowIndex < rows.size(); rowIndex++) {
                              XWPFTableRow row = rows.get(rowIndex);
                              for (XWPFTableCell cell : row.getTableCells()) {
                                  for (XWPFParagraph p : cell.getParagraphs()) {
                                      replace2(cell, p, data);
                                  }
                              }
                          }
                      }
                      
                      XWPFTable embeddedTable = null;
                      try {
                          XmlObject[] tableXmlObjects = textBoxObjects[i].selectChildren(
                                  new QName("http://schemas.openxmlformats.org/wordprocessingml/2006/main", "tbl"));
                          for (int j = 0; j < tableXmlObjects.length; j++) {
                              embeddedTable = new XWPFTable(CTTbl.Factory.parse(tableXmlObjects[j].xmlText()), paragraph.getBody());
                              // Here you have your paragraph;
                              replaceInTable(embeddedTable, data);
                              tableXmlObjects[j].set(embeddedTable.getCTTbl());
                          }
                      } catch (XmlException e) {
                          // inform somebody or do something else
                      }
                      
                      private static void replaceInTable(XWPFTable tbl, Map<String, String> data)
                              throws Exception {
                          List<XWPFTableRow> rows = new ArrayList<>(tbl.getRows());
                          for (int rowIndex = 0; rowIndex < rows.size(); rowIndex++) {
                              XWPFTableRow row = rows.get(rowIndex);
                              for (XWPFTableCell cell : row.getTableCells()) {
                                  for (XWPFParagraph p : cell.getParagraphs()) {
                                      replace2(cell, p, data);
                                  }
                              }
                          }
                      }
                      

                      How can I Filter watermark text from XML using XPATH or Apache POI?

                      copy iconCopydownload iconDownload
                      import java.io.FileInputStream;
                      
                      import org.apache.poi.xwpf.usermodel.XWPFDocument;
                      import org.apache.poi.xwpf.usermodel.XWPFHeader;
                      
                      import java.util.StringJoiner;
                      
                      public class ReadWordWatermarkXWPFXPATH {
                          
                       static String getWatermarkText(XWPFDocument document) {
                        StringJoiner stringJoiner = new StringJoiner(" ");
                        for (XWPFHeader header : document.getHeaderList()) {
                         org.openxmlformats.schemas.wordprocessingml.x2006.main.CTHdrFtr ctHdrFtr = header._getHdrFtr();
                         String declareNameSpaces = "declare namespace v='urn:schemas-microsoft-com:vml'; ";
                         org.apache.xmlbeans.XmlObject[] selectedObjects = ctHdrFtr.selectPath(
                          declareNameSpaces 
                          + "$this//v:shape[contains(@id,'PowerPlusWaterMarkObject')]/v:textpath/@string");
                         for (org.apache.xmlbeans.XmlObject object : selectedObjects) {
                          if (object instanceof org.apache.xmlbeans.XmlString) {
                           org.apache.xmlbeans.XmlString xmlString = (org.apache.xmlbeans.XmlString)object;
                           stringJoiner.add(xmlString.getStringValue());
                          }   
                         }
                        }
                        return stringJoiner.toString();
                       }
                      
                       public static void main(String[] args) throws Exception {
                      
                        XWPFDocument document = new XWPFDocument(new FileInputStream("./WordDocument.docx"));
                        String watermarkText = getWatermarkText(document);
                        System.out.println(watermarkText);
                        
                       }
                      }
                      
                      import java.io.FileInputStream;
                      
                      import org.apache.poi.xwpf.usermodel.XWPFDocument;
                      import org.apache.poi.xwpf.usermodel.XWPFHeader;
                      
                      import java.util.StringJoiner;
                      
                      public class ReadWordWatermarkXWPF {
                          
                       static String getWatermarkText(XWPFDocument document) {
                        StringJoiner stringJoiner = new StringJoiner(" ");
                        for (XWPFHeader header : document.getHeaderList()) {
                         org.openxmlformats.schemas.wordprocessingml.x2006.main.CTHdrFtr ctHdrFtr = header._getHdrFtr();
                         String declareNameSpaces = "declare namespace v='urn:schemas-microsoft-com:vml'; ";
                         org.apache.xmlbeans.XmlObject[] selectedObjects = ctHdrFtr.selectPath(
                          declareNameSpaces 
                          + "$this//v:shape");
                         for (org.apache.xmlbeans.XmlObject object : selectedObjects) {
                          if (object instanceof com.microsoft.schemas.vml.CTShape) {
                           com.microsoft.schemas.vml.CTShape shape = (com.microsoft.schemas.vml.CTShape)object;
                           if (shape.getId() != null) {
                            String id = shape.getId();
                            if (id.contains("PowerPlusWaterMarkObject")) {
                             for (com.microsoft.schemas.vml.CTTextPath textPath : shape.getTextpathList()) {
                              stringJoiner.add(textPath.getString());
                             }
                            }
                           }
                          }
                         }    
                        }
                        return stringJoiner.toString();
                       }
                      
                       public static void main(String[] args) throws Exception {
                      
                        XWPFDocument document = new XWPFDocument(new FileInputStream("./WordDocument.docx"));
                        String watermarkText = getWatermarkText(document);
                        System.out.println(watermarkText);
                        
                       }
                      }
                      
                      import java.io.FileInputStream;
                      
                      import org.apache.poi.xwpf.usermodel.XWPFDocument;
                      import org.apache.poi.xwpf.usermodel.XWPFHeader;
                      
                      import java.util.StringJoiner;
                      
                      public class ReadWordWatermarkXWPFXPATH {
                          
                       static String getWatermarkText(XWPFDocument document) {
                        StringJoiner stringJoiner = new StringJoiner(" ");
                        for (XWPFHeader header : document.getHeaderList()) {
                         org.openxmlformats.schemas.wordprocessingml.x2006.main.CTHdrFtr ctHdrFtr = header._getHdrFtr();
                         String declareNameSpaces = "declare namespace v='urn:schemas-microsoft-com:vml'; ";
                         org.apache.xmlbeans.XmlObject[] selectedObjects = ctHdrFtr.selectPath(
                          declareNameSpaces 
                          + "$this//v:shape[contains(@id,'PowerPlusWaterMarkObject')]/v:textpath/@string");
                         for (org.apache.xmlbeans.XmlObject object : selectedObjects) {
                          if (object instanceof org.apache.xmlbeans.XmlString) {
                           org.apache.xmlbeans.XmlString xmlString = (org.apache.xmlbeans.XmlString)object;
                           stringJoiner.add(xmlString.getStringValue());
                          }   
                         }
                        }
                        return stringJoiner.toString();
                       }
                      
                       public static void main(String[] args) throws Exception {
                      
                        XWPFDocument document = new XWPFDocument(new FileInputStream("./WordDocument.docx"));
                        String watermarkText = getWatermarkText(document);
                        System.out.println(watermarkText);
                        
                       }
                      }
                      
                      import java.io.FileInputStream;
                      
                      import org.apache.poi.xwpf.usermodel.XWPFDocument;
                      import org.apache.poi.xwpf.usermodel.XWPFHeader;
                      
                      import java.util.StringJoiner;
                      
                      public class ReadWordWatermarkXWPF {
                          
                       static String getWatermarkText(XWPFDocument document) {
                        StringJoiner stringJoiner = new StringJoiner(" ");
                        for (XWPFHeader header : document.getHeaderList()) {
                         org.openxmlformats.schemas.wordprocessingml.x2006.main.CTHdrFtr ctHdrFtr = header._getHdrFtr();
                         String declareNameSpaces = "declare namespace v='urn:schemas-microsoft-com:vml'; ";
                         org.apache.xmlbeans.XmlObject[] selectedObjects = ctHdrFtr.selectPath(
                          declareNameSpaces 
                          + "$this//v:shape");
                         for (org.apache.xmlbeans.XmlObject object : selectedObjects) {
                          if (object instanceof com.microsoft.schemas.vml.CTShape) {
                           com.microsoft.schemas.vml.CTShape shape = (com.microsoft.schemas.vml.CTShape)object;
                           if (shape.getId() != null) {
                            String id = shape.getId();
                            if (id.contains("PowerPlusWaterMarkObject")) {
                             for (com.microsoft.schemas.vml.CTTextPath textPath : shape.getTextpathList()) {
                              stringJoiner.add(textPath.getString());
                             }
                            }
                           }
                          }
                         }    
                        }
                        return stringJoiner.toString();
                       }
                      
                       public static void main(String[] args) throws Exception {
                      
                        XWPFDocument document = new XWPFDocument(new FileInputStream("./WordDocument.docx"));
                        String watermarkText = getWatermarkText(document);
                        System.out.println(watermarkText);
                        
                       }
                      }
                      
                      *//v:shape/v:textpath/@string
                      

                      XPATH throwing java.lang.RuntimeException

                      copy iconCopydownload iconDownload
                      <dependencies>
                          <dependency>
                              <groupId>org.apache.xmlbeans</groupId>
                              <artifactId>xmlbeans</artifactId>
                              <version>5.0.1</version>
                          </dependency>
                          <dependency>
                              <groupId>org.apache.logging.log4j</groupId>
                              <artifactId>log4j-core</artifactId>
                              <version>2.14.1</version>
                          </dependency>
                          <dependency>
                              <groupId>net.sf.saxon</groupId>
                              <artifactId>Saxon-HE</artifactId>
                              <version>10.6</version>
                          </dependency>
                      </dependencies>
                      
                      import org.apache.xmlbeans.SimpleValue;
                      import org.apache.xmlbeans.XmlException;
                      import org.apache.xmlbeans.XmlObject;
                      import java.io.File;
                      import java.io.IOException;
                      
                      public class main {
                          public static void main(String[] args) {
                              File file = new File("test.xml");
                              try {
                                  XmlObject xoobj = XmlObject.Factory.parse(file);
                                  var declareNameSpaces = "declare namespace v='urn:schemas-microsoft-com:vml' ";
                                  final String xpathFilter = "data(//v:shape[contains(@id,'PowerPlusWaterMarkObject')]/v:textpath/@string)";
                      
                                  XmlObject[] arr = xoobj.selectPath(declareNameSpaces + xpathFilter);
                                  
                                  //Cast to SimpleValue
                                  SimpleValue result = (SimpleValue) arr[0];
                                  System.out.println(result.getStringValue());
                      
                              } catch (XmlException | IOException ex) {
                                  System.out.println(ex);
                              }
                          }
                      }
                      
                      <dependencies>
                          <dependency>
                              <groupId>org.apache.xmlbeans</groupId>
                              <artifactId>xmlbeans</artifactId>
                              <version>5.0.1</version>
                          </dependency>
                          <dependency>
                              <groupId>org.apache.logging.log4j</groupId>
                              <artifactId>log4j-core</artifactId>
                              <version>2.14.1</version>
                          </dependency>
                          <dependency>
                              <groupId>net.sf.saxon</groupId>
                              <artifactId>Saxon-HE</artifactId>
                              <version>10.6</version>
                          </dependency>
                      </dependencies>
                      
                      import org.apache.xmlbeans.SimpleValue;
                      import org.apache.xmlbeans.XmlException;
                      import org.apache.xmlbeans.XmlObject;
                      import java.io.File;
                      import java.io.IOException;
                      
                      public class main {
                          public static void main(String[] args) {
                              File file = new File("test.xml");
                              try {
                                  XmlObject xoobj = XmlObject.Factory.parse(file);
                                  var declareNameSpaces = "declare namespace v='urn:schemas-microsoft-com:vml' ";
                                  final String xpathFilter = "data(//v:shape[contains(@id,'PowerPlusWaterMarkObject')]/v:textpath/@string)";
                      
                                  XmlObject[] arr = xoobj.selectPath(declareNameSpaces + xpathFilter);
                                  
                                  //Cast to SimpleValue
                                  SimpleValue result = (SimpleValue) arr[0];
                                  System.out.println(result.getStringValue());
                      
                              } catch (XmlException | IOException ex) {
                                  System.out.println(ex);
                              }
                          }
                      }
                      
                      final var xpathFilter = "*//v:shape/v:textpath/@string"
                      

                      Sort items in list by index of a substring in another list

                      copy iconCopydownload iconDownload
                      domains = {"gov" : 1, "int" : 2, "com" : 3, "edu" : 4, "org" : 5, "info" : 6}
                      urls = ['https://www.cdc.gov/coronavirus/2019-ncov/index.html',
                          'https://coronavirus.jhu.edu/map.html',
                          'https://www.who.int/emergencies/diseases/novel-coronavirus-2019',
                          'https://www.who.int/health-topics/coronavirus',
                          'https://www.worldometers.info/coronavirus/',
                          'https://en.wikipedia.org/wiki/COVID-19',
                          'https://coronavirus.ohio.gov/wps/portal/gov/covid-19/home',
                          'https://www.michigan.gov/coronavirus/',
                          'https://coronavirus.in.gov/',
                          'https://www.osha.gov/coronavirus',
                          'https://covid19.nj.gov/']
                      urls = sorted(urls, key=lambda x: domains[re.sub(r'^https?://[^/]+\.([^/]+)/.*$', r'\1', x)])
                      print(urls)
                      
                      ['https://www.cdc.gov/coronavirus/2019-ncov/index.html',             # .gov
                       'https://coronavirus.ohio.gov/wps/portal/gov/covid-19/home',        # .gov
                       'https://www.michigan.gov/coronavirus/',                            # .gov
                       'https://coronavirus.in.gov/',                                      # .gov
                       'https://www.osha.gov/coronavirus', 'https://covid19.nj.gov/',      # .gov
                       'https://www.who.int/emergencies/diseases/novel-coronavirus-2019',  # .int
                       'https://www.who.int/health-topics/coronavirus',                    # .int
                       'https://coronavirus.jhu.edu/map.html',                             # .edu
                       'https://en.wikipedia.org/wiki/COVID-19',                           # .org
                       'https://www.worldometers.info/coronavirus/']                       # .info
                      
                      domains = {"gov" : 1, "int" : 2, "com" : 3, "edu" : 4, "org" : 5, "info" : 6}
                      urls = ['https://www.cdc.gov/coronavirus/2019-ncov/index.html',
                          'https://coronavirus.jhu.edu/map.html',
                          'https://www.who.int/emergencies/diseases/novel-coronavirus-2019',
                          'https://www.who.int/health-topics/coronavirus',
                          'https://www.worldometers.info/coronavirus/',
                          'https://en.wikipedia.org/wiki/COVID-19',
                          'https://coronavirus.ohio.gov/wps/portal/gov/covid-19/home',
                          'https://www.michigan.gov/coronavirus/',
                          'https://coronavirus.in.gov/',
                          'https://www.osha.gov/coronavirus',
                          'https://covid19.nj.gov/']
                      urls = sorted(urls, key=lambda x: domains[re.sub(r'^https?://[^/]+\.([^/]+)/.*$', r'\1', x)])
                      print(urls)
                      
                      ['https://www.cdc.gov/coronavirus/2019-ncov/index.html',             # .gov
                       'https://coronavirus.ohio.gov/wps/portal/gov/covid-19/home',        # .gov
                       'https://www.michigan.gov/coronavirus/',                            # .gov
                       'https://coronavirus.in.gov/',                                      # .gov
                       'https://www.osha.gov/coronavirus', 'https://covid19.nj.gov/',      # .gov
                       'https://www.who.int/emergencies/diseases/novel-coronavirus-2019',  # .int
                       'https://www.who.int/health-topics/coronavirus',                    # .int
                       'https://coronavirus.jhu.edu/map.html',                             # .edu
                       'https://en.wikipedia.org/wiki/COVID-19',                           # .org
                       'https://www.worldometers.info/coronavirus/']                       # .info
                      

                      WordPress Custom Post Type FrontEnd

                      copy iconCopydownload iconDownload
                      wp_set_object_terms( $post_id, $_POST['input_name_of_your_dropdown'], 'ssc', true );
                      wp_set_object_terms( $post_id, $_POST['input_name_of_your_dropdown'], 'group', true );
                      

                      How to grab specific items from entire json response api calls

                      copy iconCopydownload iconDownload
                      import requests
                      import pandas as pd
                      
                      params = {
                          'sectorID': 'All',
                          '_': '1630217365368'}
                      headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.107 Safari/537.36'}
                      
                      
                      def main(url):
                          with requests.Session() as req:
                              req.headers.update(headers)
                              sym = []
                              name = []
                              r = req.get(url, params=params, headers =headers)
                              for item in r.json()['data']:
                                  # print(item)
                                  sym.append(item['symbol']),
                                  name.append(item['lonaName'])
                      
                              df = pd.DataFrame({'symbol':sym , 'longName':name})
                              print(df)
                              
                      
                      main('https://www.saudiexchange.sa/wps/portal/tadawul/market-participants/issuers/issuers-directory/!ut/p/z1/04_Sj9CPykssy0xPLMnMz0vMAfIjo8zi_Tx8nD0MLIy8DTyMXAwczVy9vV2cTY0MnEz1w8EKjIycLQwtTQx8DHzMDYEK3A08A31NjA0CjfWjSNLv7ulnbuAY6OgR5hYWYgzUQpl-AxPi9BvgAI4GhPVHgZXgCwFUBVi8iFcByA9gBXgcWZAbGhoaYZDpma6oCABqndOv/p0/IZ7_NHLCH082KOAG20A6BDUU6K3082=CZ6_NHLCH082K0H2D0A6EKKDC520B5=N/')
                      
                          symbol                                           longName
                      0     1330                 Abdullah A. M. Al-Khodari Sons Co.
                      1     4001                     Abdullah Al Othaim Markets Co.
                      2     4191  Abdullah Saad Mohammed Abo Moati for Bookstore...
                      3     1820  Abdulmohsen Alhokair Group for Tourism and Dev...
                      4     2330                         Advanced Petrochemical Co.
                      ..     ...                                                ...
                      199   3020                                  Yamama Cement Co.
                      200   3060                                   Yanbu Cement Co.
                      201   2290                   Yanbu National Petrochemical Co.
                      202   3007                     Zahrat Al Waha for Trading Co.
                      203   2240                    Zamil Industrial Investment Co.
                      
                      import requests
                      import pandas as pd
                      
                      url = "https://www.saudiexchange.sa/tadawul.eportal.theme.helper/TickerServlet"
                      
                      data = requests.get(url).json()
                      # print(json.dumps(data, indent=4))
                      
                      df = pd.json_normalize(data["stockData"])
                      print(df)
                      
                          pk_rf_company     companyShortNameEn       companyShortNameAr                                             companyLongNameEn                                     companyLongNameAr highPrice lowPrice  noOfTrades previousClosePrice todaysOpen transactionDate      turnOver  volumeTraded  aveTradeSize  change  changePercent  lastTradePrice transactionDateStr
                      0            4700       Alkhabeer Income             الخبير للدخل                     Al Khabeer Diversified Income Traded Fund                   صندوق الخبير للدخل المتنوع المتداول      None     None         308               None       None            None  1.293560e+06        142791        463.61    0.01           0.11            9.07               None
                      1            2030                  SARCO                  المصافي                                   Saudi Arabia Refineries Co.                         شركة المصافي العربية السعودية      None     None         877               None       None            None  1.352797e+07         83391         95.09   -0.40          -0.25          162.20               None
                      2            2222           SAUDI ARAMCO          أرامكو السعودية                                         Saudi Arabian Oil Co.                           شركة الزيت العربية السعودية      None     None        4054               None       None            None  6.034732e+07       1731463        427.10    0.05           0.14           34.90               None
                      
                      
                      ...and so on.
                      
                      print(df[["pk_rf_company", "companyLongNameEn"]])
                      
                          pk_rf_company                                             companyLongNameEn
                      0            4700                     Al Khabeer Diversified Income Traded Fund
                      1            2030                                   Saudi Arabia Refineries Co.
                      2            2222                                         Saudi Arabian Oil Co.
                      
                      ...and so on.
                      
                      import requests
                      import pandas as pd
                      
                      url = "https://www.saudiexchange.sa/tadawul.eportal.theme.helper/TickerServlet"
                      
                      data = requests.get(url).json()
                      # print(json.dumps(data, indent=4))
                      
                      df = pd.json_normalize(data["stockData"])
                      print(df)
                      
                          pk_rf_company     companyShortNameEn       companyShortNameAr                                             companyLongNameEn                                     companyLongNameAr highPrice lowPrice  noOfTrades previousClosePrice todaysOpen transactionDate      turnOver  volumeTraded  aveTradeSize  change  changePercent  lastTradePrice transactionDateStr
                      0            4700       Alkhabeer Income             الخبير للدخل                     Al Khabeer Diversified Income Traded Fund                   صندوق الخبير للدخل المتنوع المتداول      None     None         308               None       None            None  1.293560e+06        142791        463.61    0.01           0.11            9.07               None
                      1            2030                  SARCO                  المصافي                                   Saudi Arabia Refineries Co.                         شركة المصافي العربية السعودية      None     None         877               None       None            None  1.352797e+07         83391         95.09   -0.40          -0.25          162.20               None
                      2            2222           SAUDI ARAMCO          أرامكو السعودية                                         Saudi Arabian Oil Co.                           شركة الزيت العربية السعودية      None     None        4054               None       None            None  6.034732e+07       1731463        427.10    0.05           0.14           34.90               None
                      
                      
                      ...and so on.
                      
                      print(df[["pk_rf_company", "companyLongNameEn"]])
                      
                          pk_rf_company                                             companyLongNameEn
                      0            4700                     Al Khabeer Diversified Income Traded Fund
                      1            2030                                   Saudi Arabia Refineries Co.
                      2            2222                                         Saudi Arabian Oil Co.
                      
                      ...and so on.
                      
                      import requests
                      import pandas as pd
                      
                      url = "https://www.saudiexchange.sa/tadawul.eportal.theme.helper/TickerServlet"
                      
                      data = requests.get(url).json()
                      # print(json.dumps(data, indent=4))
                      
                      df = pd.json_normalize(data["stockData"])
                      print(df)
                      
                          pk_rf_company     companyShortNameEn       companyShortNameAr                                             companyLongNameEn                                     companyLongNameAr highPrice lowPrice  noOfTrades previousClosePrice todaysOpen transactionDate      turnOver  volumeTraded  aveTradeSize  change  changePercent  lastTradePrice transactionDateStr
                      0            4700       Alkhabeer Income             الخبير للدخل                     Al Khabeer Diversified Income Traded Fund                   صندوق الخبير للدخل المتنوع المتداول      None     None         308               None       None            None  1.293560e+06        142791        463.61    0.01           0.11            9.07               None
                      1            2030                  SARCO                  المصافي                                   Saudi Arabia Refineries Co.                         شركة المصافي العربية السعودية      None     None         877               None       None            None  1.352797e+07         83391         95.09   -0.40          -0.25          162.20               None
                      2            2222           SAUDI ARAMCO          أرامكو السعودية                                         Saudi Arabian Oil Co.                           شركة الزيت العربية السعودية      None     None        4054               None       None            None  6.034732e+07       1731463        427.10    0.05           0.14           34.90               None
                      
                      
                      ...and so on.
                      
                      print(df[["pk_rf_company", "companyLongNameEn"]])
                      
                          pk_rf_company                                             companyLongNameEn
                      0            4700                     Al Khabeer Diversified Income Traded Fund
                      1            2030                                   Saudi Arabia Refineries Co.
                      2            2222                                         Saudi Arabian Oil Co.
                      
                      ...and so on.
                      
                      import requests
                      import pandas as pd
                      
                      url = "https://www.saudiexchange.sa/tadawul.eportal.theme.helper/TickerServlet"
                      
                      data = requests.get(url).json()
                      # print(json.dumps(data, indent=4))
                      
                      df = pd.json_normalize(data["stockData"])
                      print(df)
                      
                          pk_rf_company     companyShortNameEn       companyShortNameAr                                             companyLongNameEn                                     companyLongNameAr highPrice lowPrice  noOfTrades previousClosePrice todaysOpen transactionDate      turnOver  volumeTraded  aveTradeSize  change  changePercent  lastTradePrice transactionDateStr
                      0            4700       Alkhabeer Income             الخبير للدخل                     Al Khabeer Diversified Income Traded Fund                   صندوق الخبير للدخل المتنوع المتداول      None     None         308               None       None            None  1.293560e+06        142791        463.61    0.01           0.11            9.07               None
                      1            2030                  SARCO                  المصافي                                   Saudi Arabia Refineries Co.                         شركة المصافي العربية السعودية      None     None         877               None       None            None  1.352797e+07         83391         95.09   -0.40          -0.25          162.20               None
                      2            2222           SAUDI ARAMCO          أرامكو السعودية                                         Saudi Arabian Oil Co.                           شركة الزيت العربية السعودية      None     None        4054               None       None            None  6.034732e+07       1731463        427.10    0.05           0.14           34.90               None
                      
                      
                      ...and so on.
                      
                      print(df[["pk_rf_company", "companyLongNameEn"]])
                      
                          pk_rf_company                                             companyLongNameEn
                      0            4700                     Al Khabeer Diversified Income Traded Fund
                      1            2030                                   Saudi Arabia Refineries Co.
                      2            2222                                         Saudi Arabian Oil Co.
                      
                      ...and so on.
                      
                      import requests
                      import pandas as pd
                      
                      params = {
                          'sectorID': 'All',
                          '_': '1630217365368'}
                      headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.107 Safari/537.36'}
                      
                      
                      def main(url):
                          with requests.Session() as req:
                              req.headers.update(headers)
                              r = req.get(url, params=params, headers =headers)
                              data = r.json()['data']
                              df_main = pd.DataFrame(data)
                              df_min = df_main.iloc[:, 0:2]
                              df_min.columns = ['Symbol', 'Company name']
                              print(df_min)
                              
                      
                      main('https://www.saudiexchange.sa/wps/portal/tadawul/market-participants/issuers/issuers-directory/!ut/p/z1/04_Sj9CPykssy0xPLMnMz0vMAfIjo8zi_Tx8nD0MLIy8DTyMXAwczVy9vV2cTY0MnEz1w8EKjIycLQwtTQx8DHzMDYEK3A08A31NjA0CjfWjSNLv7ulnbuAY6OgR5hYWYgzUQpl-AxPi9BvgAI4GhPVHgZXgCwFUBVi8iFcByA9gBXgcWZAbGhoaYZDpma6oCABqndOv/p0/IZ7_NHLCH082KOAG20A6BDUU6K3082=CZ6_NHLCH082K0H2D0A6EKKDC520B5=N/')
                      

                      Community Discussions

                      Trending Discussions on WPS
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                      • Excel cannot open links using Internet Explorer
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                      • XPATH throwing java.lang.RuntimeException
                      • Sort items in list by index of a substring in another list
                      • WordPress Custom Post Type FrontEnd
                      Trending Discussions on WPS

                      QUESTION

                      Find XPath of next sibling python

                      Asked 2022-Apr-17 at 10:40

                      Here's the outhtml of an element on a webpage

                      <td valign="top">
                                                  <script type="text/javascript">sjcap();</script><p><input type="text" id="uword" name="uword" class="" size="20"></p><p><img src="/wps/PA_1_ATAGT15208O2F02M34340U0000/./cimg/31.jpg" width="290" height="80" alt=""></p>
                                                  </td>

                      I am trying to build xpath for the image and extract the src attribute using HTMLSession requests_html Here's my xpath but this didn't match the element //input[@id='uword']/following-sibling::p I inspected the element and try to use Ctrl + F to find the xpath but I got 0 results

                      ANSWER

                      Answered 2022-Apr-15 at 18:52

                      Perhaps you are looking to copy the full xpath? It’s different from just copying the xpath. It would be in the /html format if that’s what you want. Right click the element and copy full xpath instead

                      Source https://stackoverflow.com/questions/71887622

                      Community Discussions, Code Snippets contain sources that include Stack Exchange Network

                      Vulnerabilities

                      No vulnerabilities reported

                      Install WPS

                      You can download it from GitHub.
                      You can use WPS like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the WPS component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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                      The 52°North WPS provides wrappers to well-established (geographical) computation backends.

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