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On this site

  • Code Openness
  • Data Context
  • Quality of the data set
  • Data model
  • Data Mapping
  • Example
  • Data Vizualization
  • Design/Concept
  • Motivation
  • DoD
  • Scholia Background
  • Scholia SPARQL Querries
  • Development
  • Install and Setup Project

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GeezerVison is showing code-openness.github.io — Example

Code-Openness Documentation
  • Code Openness on GitHub

Docker

  • Setup Docker as shown here
  • Start Docker
  • docker-compose up

Bot Password

                                <ul style="list-style-type:disc;">
                                    <li>Open and login to Wikibase in browser (address, username and password are specified in docker-compose.yml)</li>
                                    <li>Go to Special Pages -> Bot passwords {address}/wiki/Special:BotPasswords</li>
                                    <li>Create a bot named bot, check all permissions and click create</li>
                                    <li>Copy the created Password (it should look like this: bot@7f7fqvfd5v5mn0nb7v214pu8vtj2vif8)</li>
                                  </ul>  

Clean Up

                                    <h4>To completely delete the data from your Wikibase instance follow the instructions:</h4>
  1. In the console, in the folder where your docker-compose.yml is located, run
    docker-compose down --volumes
    to delete all data from the database and other data related to Wikibase
  2. In the console, in the folder data-mapping run
    rm -rf apicache-py3 && rm -rf import_env && rm -rf pywikibot.lwp && rm -rf user-config.py&& rm -rf import.py && rm -rf data && rm -rf password && rm -rf throttle.ctrl && rm -rf
    to delete the temporary data
    Now you have an empty Wikibase instance again.

Requirements to run code

                        <ul style="list-style-type:disc;">
                            <li>Python 3.7.x</li>
                            <li>WikidataIntegrator</li>
                            <li>Pywikibot</li>
                          </ul>

Wrote a code to add all items in Wikibase

                                    <ol>
                                        <li>Properties must already be present in the Wiki
                                          </li>
                                        <li>Get a .CSV file as parameter </li>
                                      </ol>
                                      <p>
                                          After successful completion of the script 2 files should be created:
                                      </p>
                                      <ol>
                                          <li>csv_path_updated.csv
                                            </li>
                                          <li>csv_path_errors.csv(contains all successfully added items with newly created QID)</li>
                                        </ol>
                                        <p>
                                        Important parts of the code:
                                        </p>
                                        <ol>
                                            <li>Open CSV file.</li>
                                            <li>Go through all items in a loop.</li>
                                            <li>Compare type of item with data type from wiki and add accordingly.</li>
                                            <li>Save added items with QIDs in a new file.</li>
                                          </ol>

Wrote a code to add all Properties in Wikibase

                        <ul style="list-style-type:disc;">
                            <li>Received a .CSV file as parameter</li>
                            <li>Adds all Properties to Wiki </li>
                          </ul>

Then we specified that the code(items and properties) can be more efficiently written in a file.

This program contains these files:

<ol>
    <li>base.import.py: adds a new data model to Wikibase.</li>
    <li>base.user-config.py: contains user information.</li>
    <li>requirements.txt : contains all requirements to execute the code.</li>
    <li>import.sh : contains commands to execute the code.</li>
  </ol>
 <div></div>                       
<h4>Executing the script</h4>
                                <ol>
                                    <li>Clone the <a href="https://github.com/code-openness/data-mapping">data-mapping repository</a>  <br> git clone [email protected]:code-openness/data-mapping.git </li>
                                    <li>Open data-mapping/import.sh in editor  </li>
                                    <li>Paste your bot password <br> export BOT_PASSWORD=bot@7f7fqvfd5v5mn0nb7v214pu8vtj2vif8  </li>
                                    <li>Adjust MEDIA_WIKI_SERVER with the host address from your docker-compose.yml file <br> export MEDIA_WIKI_SERVER=http://localhost:8181</li>
                                    <li>Adjust SPARQL_ENDPOINT with the host address from your docker-compose.yml file <br> export MEDIA_WIKI_SERVER=http://localhost:8181</li>
                                    <li>Save import.sh file</li>
                                    <li>execute import.sh  <br> ./import.sh </li>
                                  </ol>
                                  <p>Then we tried to make the code perform better through multithreadding.</p>                         
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