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Terracotta (a portmanteau of Tool for Education Research with RAndomized COnTrolled TriAls) is a plug-in to the learning management system that allows the contents of online assignments to be differentiated for experimental treatment variations, and to be assigned randomly to different groups of students. Terracotta also enables privacy protections

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TERRACOTTA

Build

This will produce a terracotta-X.X.jar file in the target directory

mvn install 

note, to avoid some test errors if those happen, try

mvn install -DskipTests=true

to skip the yarn build, -Dskip.yarn can be used

Quick Run

You can run the app in place to try it out without having to install and deploy a servlet container.

mvn clean install -DskipTests=true spring-boot:run

Then go to the following default URL:

https://localhost:9090/

NOTE: To run it and connect it to real LMSs it is recommended to run it in an accessible server with a valid certificate launching the jar file with the right configuration files.

Customizing

Use the application.properties to control various aspects of the Spring Boot application (like setting up your own database connection). The example file has some sections with self-explanatory titles. It is recommended to use a properties file external to the jar to avoid storing sensitive values in your code:

--spring.config.location=/home/yourhomefolder/application-local.properties

Creating the database

Connect to your mysql server and use your values on xxDATABASENAMExxx, xxxuserNamexxx, xxxPasswordxxx Set the right values in the properties file.

mysql> create database xxDATABASENAMExxx DEFAULT CHARACTER SET utf8 ; Query OK, 1 row affected (0.00 sec)

mysql> create user 'xxxuserNamexxx'@'%' identified by 'xxxPasswordxxx'; Query OK, 0 rows affected (0.00 sec)

mysql> grant all on terracotta.* to 'terracotta'@'localhost'; Query OK, 0 rows affected (0.00 sec)

Creating database migration scripts

Use the following steps to mostly automate creation of a liquibase database migration script. You will need Liquibase installed. The following was tested with Liquibase version 4.6.2.

  1. Create a fresh MySQL database using Docker.

    docker run --name mysql57 -p 3406:3306 -e MYSQL_ROOT_PASSWORD=root -e MYSQL_DATABASE=terracotta -d mysql:5.7
    
  2. Configure your local application.properties file to connect to this Docker MySQL database. Also set the ddl-auto setting to update.

    application-local.properties

    ...
    spring.jpa.hibernate.ddl-auto=update
    # spring.jpa.hibernate.ddl-auto=validate
    
    # Local docker instance
    spring.datasource.url=jdbc:mysql://localhost:3406/terracotta
    spring.datasource.driverClassName=com.mysql.cj.jdbc.Driver
    spring.datasource.username=root
    spring.datasource.password=root
    
  3. Assuming you've already made your code modifications to the JPA entities, start up your Terracotta application locally.

    java -jar target/terracotta-0.1.jar --spring.config.location=../application-local.properties
    

    This will bring your Docker MySQL database up-to-date with your JPA mappings.

    Once Terracotta has successfully started up, you'll see logged to the console:

    Started Terracotta in XX.XXX seconds

    You can go ahead and shut it down now.

  4. Create a liquibase configuration file that connects to your development environment database and uses your Docker MySQL database as the reference database.

    liquibase.properties:

    # DEV database
    url:  jdbc:mysql://localhost:3309/terracotta
    username: terracotta
    password: YOUR_TERRACOTTA_USER_PASSWORD
    classpath:  mysql-connector-java-8.0.27.jar
    
    # docker database, created with:
    #       docker run --name mysql57 -p 3406:3306 -e MYSQL_ROOT_PASSWORD=root -e MYSQL_DATABASE=terracotta -d mysql:5.7
    referenceUrl: jdbc:mysql://localhost:3406/terracotta
    referenceUsername: root
    referencePassword: root
    
    liquibase.hub.mode=off
    

    Note: above I used SSH port forwarding to forward port 3309 locally to the development database server and port. Also, you'll need to download a mysql-connector-java jar file.

  5. Run liquibase to generate a diff between your development database and the Docker MySQL database.

    For example:

    liquibase --changeLogFile=terracotta/src/main/resources/db/changelog/2022.05/26-01-changelog.xml diffChangeLog
    

    The naming format is to put the changelog file in a directory named YYYY.MM and name it DD-NN-changelog.xml, where YYYY is the 4 digit year, MM is the two digit month, DD is the two digit day, and NN is a two digit incrementing counter for the changelog, starting with 01, in case there are multiple changelogs generated in a given day. In the above example, the changelog was the first one generated on May 26, 2022.

  6. Inspect the generated changelog file. You will likely need to fix up a few things, such as:

    • to help make the scripts database independent, use the following generic data types:
      • BOOLEAN
      • CURRENCY
      • UUID
      • CLOB
      • BLOB
      • DATE
      • DATETIME
      • TIME
      • BIGINT
    • give foreign key and other constraints proper names
  7. Add the changelog file to changelog-master.xml.

  8. To verify your migration script, stop and remove your Docker MySQL container and create a fresh new one. Also, set ddl-auto to validate, then start up your application.

    docker stop mysql57
    docker rm mysql57
    docker run --name mysql57 -p 3406:3306 -e MYSQL_ROOT_PASSWORD=root -e MYSQL_DATABASE=terracotta -d mysql:5.7
    

    application-local.properties:

    ...
    # spring.jpa.hibernate.ddl-auto=update
    spring.jpa.hibernate.ddl-auto=validate
    
    # Local docker instance
    spring.datasource.url=jdbc:mysql://localhost:3406/terracotta
    spring.datasource.driverClassName=com.mysql.cj.jdbc.Driver
    spring.datasource.username=root
    spring.datasource.password=root
    
    java -jar target/terracotta-0.1.jar --spring.config.location=../application-local.properties
    

    A successful application start will indicate that the migration scripts are complete and up-to-date with the JPA mappings.

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Terracotta (a portmanteau of Tool for Education Research with RAndomized COnTrolled TriAls) is a plug-in to the learning management system that allows the contents of online assignments to be differentiated for experimental treatment variations, and to be assigned randomly to different groups of students. Terracotta also enables privacy protections

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