machine-learning-apps / gke-argo Goto Github PK
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License: MIT License
GitHub Action That Submits Argo Workflows For Execution on Your GKE Cluster
License: MIT License
Please @hamelsmu Is there a way we can upgrade the argo version of this action?
I am trying to run the action and it fails when parsing GCS file as shown in the image below.
I am able to run my argo workflow file without that error but each time I use it on GitHub action, it fails.
This is a section of my GitHub action workflow.yaml
- name: Submit Argo Deployment
#if: steps.label.outputs.TRIGGERED == 'true'
id: argo
uses: machine-learning-apps/gke-argo@master
with:
ARGO_URL: ${{ secrets.ARGO_URI }}
APPLICATION_CREDENTIALS: ${{ secrets.GOOGLE_APPLICATION_CREDENTIALS }}
PROJECT_ID: ${{ secrets.GOOGLE_PROJECT_ID }}
LOCATION_ZONE: "us-east4-a"
CLUSTER_NAME: "kubearg"
WORKFLOW_YAML_PATH: "pipelines/workflow.yaml" # the argo workflow file relative to the repo's root.
SHA: ${{ steps.label.outputs.HEAD_SHA }}
and this is the part of my argo workflow.yaml file
outputs:
artifacts:
- name: dataset
path: /data
gcs:
bucket: bucket-name
key: dataset
serviceAccountKeySecret:
name: my-gcs-credentials
key: serviceAccountKey
This is the version of my standalone argo setup
argo: v2.12.5
BuildDate: 2021-01-19T22:35:05Z
GitCommit: 53f022c3f740b5a8636d74873462011702403e42
GitTreeState: clean
GitTag: v2.12.5
GoVersion: go1.13
Compiler: gc
Platform: linux/amd64
Thank you
This tool looks fantastic but not every repo is running GitHub. Are these input parameters agnostic to where you host git? Or are they pre-configured for the GitHub access pattern?
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