Web service to facilitate notification and transfer of projects in Duke Data Service and S3 Object Stores.

This application uses postgres-specific features, so you'll need a postgres server. Alternatively, you can use the docker-compose method.

1. Clone the repository

2. Install dependencies

    pip install -r requirements.txt
   

3. Create a settings.py file, providing your database credetnials:

    cp d4s2/settings_test.py d4s2/settings.py
   

4. Create the database schema:

    $ python manage.py migrate
   

5. Create a superuser (A user account is required for making authenticated API requests)

    $ python manage.py createsuperuser
   

6 . Register an application with a Duke DS instance and create a DDSEndpoint with the URLs, agent key, and provider id

    $ python manage.py createddsendpoint \
      endpoint-name \
      https://api.dataservice.duke.edu/api/v1 \
      registered-application-agent-key \
      https://dataservice.duke.edu \
      openid-provider-id

7. Start the app:

    $ python manage.py runserver
   

8. Start the background task runner:

    $ python manage.py process_tasks
   

9. The server is running and the API can be explored at http://127.0.0.1:8000/api/v1/

1. Clone the repository

2. Create a d4s2.dev.env file

    cp d4s2.sample.env d4s2.dev.env
   

3. Edit your d4s2.dev.env file to provide runtime details:

    D4S2_ALLOWED_HOST=*
    D4S2_SECRET_KEY=some-random-string
    D4S2_DDSCLIENT_URL=https://dataservice.host.com/api/v1
    D4S2_DDSCLIENT_PORTAL_ROOT=https://dataservice.host.com/
    D4S2_DDSCLIENT_AGENT_KEY=agent-key-from-duke-ds
    D4S2_DDSCLIENT_OPENID_PROVIDER_ID=provider-id-from-dds-openid-provider
    D4S2_SMTP_HOST=smtp.host.com
    POSTGRES_USER=d4s2_user
    POSTGRES_PASSWORD=newly-generated-password
    POSTGRES_DB=d4s2_db
    POSTGRES_HOST=db
   

4. Build the application's docker image:

    $ docker-compose -f docker-compose.dev.yml build
   

5. Create a superuser (A user account is required for making authenticated API requests)

    $ docker-compose -f docker-compose.dev.yml run web python manage.py createsuperuser
   

6. Start the app:

    $ docker-compose -f docker-compose.dev.yml up
   

7. The server is running and the API can be explored at http://your-docker-host:8000/api//

We use Docker and Ansible to deploy this application, as described in the d4s2-webapp role.

Docker images are built on-demand as described by the datadelivery.yml playbook