MOI serves as the integrator module to the Confluence workflow. It extracts reach-level FLPE algorithm results and SoS data to integrate results on the basin-level. This module writes output to a specified output directory.
Example Run
%run /Users/mtd/GitHub/SWOT-confluence/moi/run_MOI.py basin.json -v 'unconstrained' 0 So the command line arguments are the basin file, the verbose flag, and the branch name, where branch name can be either constrained or unconstrained. The final argument is the basin number, to be provided only for offline runs.
There is a script to deploy the Docker container image and Terraform AWS infrastructure found in the deploy directory.
Script to deploy Terraform and Docker image AWS infrastructure
REQUIRES:
- jq (https://jqlang.github.io/jq/)
- docker (https://docs.docker.com/desktop/) > version Docker 1.5
- AWS CLI (https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html)
- Terraform (https://developer.hashicorp.com/terraform/tutorials/aws-get-started/install-cli)
Command line arguments:
[1] registry: Registry URI [2] repository: Name of repository to create [3] prefix: Prefix to use for AWS resources associated with environment deploying to [4] s3_state_bucket: Name of the S3 bucket to store Terraform state in (no need for s3:// prefix) [5] profile: Name of profile used to authenticate AWS CLI commands
Example usage: ``./deploy.sh "account-id.dkr.ecr.region.amazonaws.com" "container-image-name" "prefix-for-environment" "s3-state-bucket-name" "confluence-named-profile"`
Note: Run the script from the deploy directory.