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spot_pricing_workflow.yaml
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spot_pricing_workflow.yaml
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# This workflow is a tutorial workflow including running delft3D fm model en postprocessing it.
apiVersion: argoproj.io/v1alpha1
kind: Workflow
metadata:
generateName: cloud-tutorial-workflow-
spec:
entrypoint: scenario-workflow
# This volume should be change when running the model from amazon.
#ttlStrategy:
#secondsAfterCompletion: 300 # Time to live after workflow is completed, replaces ttlSecondsAfterFinished
#secondsAfterSuccess: 5 # Time to live after workflow is successful
#secondsAfterFailure: 300 # Time to live after workflow fails
templates:
- name: only-running
steps:
- - name: delft3dfm
template: delft3dfm
- name: define-subdirs
steps:
- - name: define-subdirs
template: read-members
- name: scenario-workflow
steps:
- - name: define-subdirs
template: read-members
- - name: run-scenario
template: run-scenario
arguments:
parameters:
- name: member
value: "{{item}}"
withParam: "{{steps.define-subdirs.outputs.result}}"
- name: read-members
script:
image: 093939400611.dkr.ecr.eu-west-1.amazonaws.com/boto3
workingDir: /data
command: [python]
source: |
import boto3
import json
bucket = 'tki5-deltares'
prefix = 'buien_test/'
client = boto3.client('s3')
result = client.list_objects(Bucket=bucket, Prefix=prefix, Delimiter='/')
members = []
for o in result.get('CommonPrefixes'):
members.append(o.get('Prefix').split('/')[1])
print(json.dumps(members))
- name: run-scenario
inputs:
parameters:
- name: member
artifacts:
- name: my-art
path: /my-artifact
s3:
# Use the corresponding endpoint depending on your S3 provider:
# AWS: s3.amazonaws.com
# GCS: storage.googleapis.com
# Minio: my-minio-endpoint.default:9000
endpoint: s3.amazonaws.com
bucket: tki5-deltares
key: models/DIMR10bij10naar5_test.tar.gz
# Specify the bucket region. Note that if you want Argo to figure out this automatically,
# you can set additional statement policy that allows `s3:GetBucketLocation` action.
# For details, check out: https://argoproj.github.io/argo-workflows/configure-artifact-repository/#configuring-aws-s3
region: eu-west-1
# accessKeySecret and secretKeySecret are secret selectors.
# It references the k8s secret named 'my-s3-credentials'.
# This secret is expected to have have the keys 'accessKey'
# and 'secretKey', containing the base64 encoded credentials
# to the bucket.
accessKeySecret:
name: my-s3-credentials
key: accessKey
secretKeySecret:
name: my-s3-credentials
key: secretKey
archive:
tar: {}
- name: bui
path: "/my-artifact/rr/default.bui"
s3:
endpoint: s3.amazonaws.com
bucket: tki5-deltares
key: "buien_test/{{inputs.parameters.member}}/DEFAULT.BUI"
region: eu-west-1
# accessKeySecret and secretKeySecret are secret selectors.
# It references the k8s secret named 'my-s3-credentials'.
# This secret is expected to have have the keys 'accessKey'
# and 'secretKey', containing the base64 encoded credentials
# to the bucket.
accessKeySecret:
name: my-s3-credentials
key: accessKey
secretKeySecret:
name: my-s3-credentials
key: secretKey
archive:
none: {}
outputs:
artifacts:
- name: model-output
s3:
bucket: tki5-deltares
endpoint: s3.amazonaws.com
region: eu-west-1
key: "models-output/DIMR10bij10naar5_test_{{inputs.parameters.member}}.tar.gz"
accessKeySecret:
name: my-s3-credentials
key: accessKey
secretKeySecret:
name: my-s3-credentials
key: secretKey
archive:
tar: {}
# generate hello-art artifact from /tmp/hello_world.txt
# artifacts can be directories as well as files
path: /my-artifact
retryStrategy:
limit: "10"
retryPolicy: "Always"
nodeSelector:
alpha.eksctl.io/nodegroup-name: spot
container:
image: 093939400611.dkr.ecr.eu-west-1.amazonaws.com/dhydro_1d2d
command: ["bash"]
args: ["-c","cd /my-artifact/ && ./run_docker.sh"]
- name: delft3dfm
inputs:
artifacts:
- name: my-art
path: /my-artifact
s3:
# Use the corresponding endpoint depending on your S3 provider:
# AWS: s3.amazonaws.com
# GCS: storage.googleapis.com
# Minio: my-minio-endpoint.default:9000
endpoint: s3.amazonaws.com
bucket: tki5-deltares
key: models/file.tar.gz
# Specify the bucket region. Note that if you want Argo to figure out this automatically,
# you can set additional statement policy that allows `s3:GetBucketLocation` action.
# For details, check out: https://argoproj.github.io/argo-workflows/configure-artifact-repository/#configuring-aws-s3
region: eu-west-1
# accessKeySecret and secretKeySecret are secret selectors.
# It references the k8s secret named 'my-s3-credentials'.
# This secret is expected to have have the keys 'accessKey'
# and 'secretKey', containing the base64 encoded credentials
# to the bucket.
accessKeySecret:
name: my-s3-credentials
key: accessKey
secretKeySecret:
name: my-s3-credentials
key: secretKey
archive:
tar: {}
outputs:
artifacts:
- name: model-output
s3:
bucket: tki5-deltares
endpoint: s3.amazonaws.com
region: eu-west-1
key: models/file-output.tar.gz
accessKeySecret:
name: my-s3-credentials
key: accessKey
secretKeySecret:
name: my-s3-credentials
key: secretKey
archive:
tar: {}
# generate hello-art artifact from /tmp/hello_world.txt
# artifacts can be directories as well as files
path: /my-artifact
retryStrategy:
limit: "10"
retryPolicy: "Always"
nodeSelector:
alpha.eksctl.io/nodegroup-name: spot
container:
image: 093939400611.dkr.ecr.eu-west-1.amazonaws.com/dhydro_1d2d
command: ["bash"]
args: ["-c","cd /my-artifact/ && ./run_docker.sh"]