The MDM holds the metadata of the data packages which are available in our Research Data Center FDZ. It enables researchers to browse our data packages before signing a contract for using the data.

Please checkout the development branch before starting to code and create a new branch starting with your username followed by the backlog items issue number you will be working on:

git checkout development
git checkout -b rreitmann/issue1234

Before you can build this project, you must install and configure the following dependencies on your machine:

1. Java: You need to install java 15 sdk on your system. On Ubuntu you should use SDKMAN! (sdk install java 15.0.2.hs-adpt)
2. Maven: You need to install maven 3.6.1 or above on your system. On Ubuntu you should use SDKMAN! (sdk install maven)
3. Node.js: Node.js 16 and npm (coming with node.js) are required as well. On Ubuntu you should install node using NVM (nvm install v16)

On Windows, patch.exe has to exist in the PATH. It is distributed as part of git bash, or can be downloaded manually from GnuWin32.

Make sure that you have read-write-access on the data directory (in your project directory) for Elasticsearch and MongoDB. Specifically Mac users need to run the following command to create all data directories before bringing up the containers for the first time:

mkdir -p data/elasticsearch/data data/mongodb/db data/mongodb/logs

Otherwise your Docker Host will attempt to change permissions on the directories and fail.

Use docker-compose up to create all containers initially. MongoDB and Elasticsearch will be listening on their default ports. MailDev will show all locally sent email on 8081 and the identity-provider can be setup on port 8082. Any time after that use either docker-compose up or docker-compose start.

In case elasticsearch does not start successfully, you might need to increase its memory limit mem_limit: 512m, e.g. to 1024 (this change required removing and re-building the container).

You can get a MongoDB dump and restore it locally:

$ wget https://metadatamanagement-public.s3.eu-central-1.amazonaws.com/20220926_metadatamanagement_e2e.zip
$ unzip 20220926_metadatamanagement_e2e.zip
$ mv dump/metadatamanagement data/mongodb/db/
$ docker exec -it mongodb bash
mongo$ cd /data/mongodb/db
mongo$ mongorestore ./metadatamanagement --db=metadatamanagement
mongo$ exit
rm -r dump

You will need to setup your ~/.m2/settings.xml so that maven can download a dependency from Github:

 <settings xmlns="http://maven.apache.org/SETTINGS/1.0.0"
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://maven.apache.org/SETTINGS/1.0.0
                        http://maven.apache.org/xsd/settings-1.0.0.xsd">
    <servers>
      <server>
        <id>github</id>
        <username>${GITHUB_USERNAME}</username>
        <password>${GITHUB_TOKEN}</password>
      </server>
    </servers>
  </settings>

Run mvn first to start the Spring backend and to make sure the frontend Angular constants module has been generated by the Maven Plugin. Run npm --prefix mdm-frontend start to start the Angular Frontend.

mvn clean install -f maven-plugin/pom.xml
mvn spring-boot:run

In order for all external services to work on your local machine, you need to set the following variables in application-local.yml:

dara:
    endpoint: "https://labs.da-ra.de/dara/"
    username: {see s3://metadatamanagement-private/sensitive_variables.tf}
    password: {see s3://metadatamanagement-private/sensitive_variables.tf}

If you run the backend on your machine for the first time, or you have restored a mongodb dump, then you need to setup/reindex the elasticsearch indices. Therefore, login as admin to the application, go to Administration on the left, navigate to External Services and then click the red button Reindex for the Elasticsearch service. Reindexing can take up to 1 hour.

If you want to build a docker image for the metadatamanagement server app you can run

mvn deploy

This image can be run with all its dependent containers by

docker-compose -f docker-compose.yml -f docker-compose-app.yml up -d --build

Our CI pipleline will do some automatic checks and tests and it will optimize the metadatamanagement client for the dev environment. So before pushing to Github in order to be sure you won't fail the build you should run:

mvn -Pdev clean verify

This will concatenate and minify CSS and JavaScript files using grunt. It will also modify the index.html so it references these new files.

We test our project continuously with the Robot Framework. Test Developers can get further info here.

When an analysis package or data package is released with version >=1.0.0, the user can optionally post a message about the release on X (formerly Twitter).

To set this up, you need to have an X Developer Account (Free Access Level) and your projects' api credentials consumer key and consumer secret. Be aware that the current Free Access Level is limited to 50 tweets/24h; 1,500 tweets/month; 1 environment; 1 project.

Make your credentials consumer key and consumer secret accessible by the application.yml of the current stage through sensitive_variables.tf just like other highly sensitive data.

[application.yml]
...
tweet:
  consumerkey: ${vcap.services.tweet.credentials.consumerkey}
  consumersecret: ${vcap.services.tweet.credentials.consumersecret}
  oauthtoken: ${vcap.services.tweet.credentials.oauthtoken}
  oauthtokensecret: ${vcap.services.tweet.credentials.oauthtokensecret}
  ...

Create your oauthtoken and oauthtokensecret by following the three steps of the Postman Twitter examples: Twitter OAuth 1.0a flow test.

1. step oauth/request_token:

Execute the request with your consumer key and consumer secret from your Developer Account. An OAUTH_TOKEN_FROM_STEP1 and OAUTH_TOKEN_SECRET_FROM_STEP1 will be returned.

2. step oauth/authorize:

Visit https://api.twitter.com/oauth/authorize?oauth_token={OAUTH_TOKEN_FROM_STEP1}&oauth_token_secret={OAUTH_TOKEN_SECRET_FROM_STEP1}&oauth_callback_confirmed=true with OAUTH_TOKEN_FROM_STEP1 and OAUTH_TOKEN_SECRET_FROM_STEP1 from the first step, and authenticate your app.

After being redirected to X, open the network, and copy the values for oauth_token as OAUTH_TOKEN_FROM_STEP2 and oauth_token as OAUTH_VERIFIER_FROM_STEP2 from this GET request

GET 'http://twitter.com/?oauth_token={OAUTH_TOKEN_FROM_STEP2}&oauth_verifier={OAUTH_VERIFIER_FROM_STEP2}`'

3. step oauth/access_token:

Insert the OAUTH_TOKEN_FROM_STEP2 and OAUTH_VERIFIER_FROM_STEP2 from step 2 into the third request (If you are using Postman like the linked Twitter example, select No Auth instead of OAuth 1.0).

POST 'https://api.twitter.com/?oauth_token={OAUTH_TOKEN_FROM_STEP2}&oauth_verifier={OAUTH_VERIFIER_FROM_STEP2}' 

Add the returned values for oauth_token and oauth_token_secret from step 3 to the sensitive_variables.tf.

For further details also see Authentication OAuth FAQ.

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