Populate your Dataverse installation with sample data.
- Python 3.4 or higher
Clone this repo.
git clone https://github.com/IQSS/dataverse-sample-data.git
Change directories into the repo that you cloned.
cd dataverse-10k-data
Create a virtual environment for this project.
python3 -m venv venv
Activate the virtual environment you just created.
source venv/bin/activate
Install dependencies into the virtual environment, especially pyDataverse.
pip install -r requirements.txt
Copy dvconfig.py.sample to dvconfig.py (see the cp command below) and add your API token (using your favorite text editor, which may not be vi as shown below). Note that the config file specifies which sample data will be created.
cp dvconfig.py.sample dvconfig.py
vi dvconfig.py
Note that the environment variable $API_TOKEN will override api_token in dvconfig.py.
Assuming you have already run the source and cd commands above, you should be able to run the following command to create sample data.
python create_sample_data.py
All of the steps above may be automated in a fresh installation of Dataverse on an EC2 instance on AWS by downloading ec2-create-instance.sh and main.yaml. Edit main.yml to set dataverse.sampledata.enabled: true and adjust any other settings to your liking, then execute the script with the config file like this:
curl -O https://raw.githubusercontent.com/GlobalDataverseCommunityConsortium/dataverse-ansible/master/ec2/ec2-create-instance.sh
chmod 755 ec2-create-instance.sh
./ec2-create-instance.sh -g main.yml
For more information on spinning up Dataverse in AWS (especially if you don't have the aws executable installed), see http://guides.dataverse.org/en/latest/developers/deployment.html
We love contributors! Please see our Contributing Guide for ways you can help.