aws-vcf-env

Envrionment for working with AWS VCFs

Getting started

1. Ensure Python 3.6+ is installed on your system

2. Create an AWS user for running the VCFs and attach the admin or readonly role.

3. In .vscode/launch.json fill in the AWS_CLIENT_ID and AWS_CLIENT_SECRET for the VCF user. Or if you have the AWS CLI installed, run aws configure and leave the AWS_CLIENT_ID and AWS_CLIENT_SECRET variables as empty strings. Boto3 will find your default credentials automatically.

4. In init.sh (Mac/Linux)/init.ps1 (Windows) replace YOUR_BITBUCKET_USER with the name of your Cloud Academy BitBucket user

5. Run init.sh (Mac/Linux)/init.ps1 (Windows) to set up the environment

   • Enter your Cloud Academy BitBucket password/app password when prompted.

6. Add the following line to .gitignore to avoid committing any sensitive information:

   .vscode/
   

7. Develop and debug functions using the Current File (Integrated Terminal) configuration (press F5 with the file open)

Update Dependencies

1. Run init.sh (Mac/Linux)/init.ps1 (Windows) to set up the virtual environment again. (only the venv/ directory is impacted by this operation)

References

• Boto3 (AWS Python SDK) Reference