Offline Discharge Data Product Creation
Example Usage
InputDir=Path('./offline_inputs')
reaches_json=InputDir.joinpath('reaches.json')
with open(reaches_json) as json_file:
reaches = json.load(json_file)
nR=len(reaches)
for reach in range(nR):
%run /Users/mtd/GitHub/SWOT-confluence/offline-discharge-data-product-creation/run_offline.py 'unconstrained' 'timeseries' 'reaches.json' $reach
So the command line arguments in order are [branch] [SWOT observation mode] [reaches file] [reach #]
where [branch] is either "constrained" or "unconstrained" and [SWOT observation mode] is either "timeseries" or "single_pass". The "timeseries" option uses the .nc files created by the input module, and the "single_pass" uses the L2 single pass SWOT shapefiles.
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.