dispatch job #13
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| name: dispatch job | |
| on: | |
| workflow_dispatch: | |
| inputs: | |
| repo: | |
| description: 'The https github url for the recipe feedstock' | |
| required: true | |
| ref: | |
| description: 'The tag or branch to target in your recipe repo' | |
| required: true | |
| default: 'main' | |
| feedstock_subdir: | |
| description: 'The subdir of the feedstock directory in the repo' | |
| required: true | |
| default: 'feedstock' | |
| bucket: | |
| description: 'This job runner leverages s3fs.S3FileSystem for your recipe cache and output. Choices currently are: "default"' | |
| required: true | |
| default: 'default' | |
| prune: | |
| description: 'Only run the first two time steps' | |
| required: true | |
| default: 'False' | |
| parallelism: | |
| description: 'Number of task managers to spin up' | |
| required: true | |
| default: '1' | |
| jobs: | |
| run-job: | |
| name: Job ${{ github.event.inputs.repo }}@${{ github.event.inputs.ref }} | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: checkout repository | |
| uses: actions/checkout@v2 | |
| - name: set up python 3.10 | |
| uses: actions/setup-python@v2 | |
| with: | |
| python-version: '3.10' | |
| - name: echo server | |
| run: | | |
| echo "Manually triggered workflow: \ | |
| ${{ github.event.inputs.repo }} \ | |
| ${{ github.event.inputs.ref }} \ | |
| ${{ github.event.inputs.bucket }} \ | |
| ${{ github.event.inputs.parallelism }} \ | |
| ${{ github.event.inputs.prune }}" | |
| - name: install deps | |
| run: | | |
| # TODO: move to requirements file | |
| python -m pip install --upgrade pip | |
| pip install \ | |
| fsspec \ | |
| s3fs \ | |
| apache-beam==2.52.0 \ | |
| pangeo-forge-recipes>=0.10.0 \ | |
| pangeo-forge-runner>=0.9.1 | |
| - name: set up aws credentials for job runner user | |
| uses: aws-actions/configure-aws-credentials@v1 | |
| with: | |
| aws-access-key-id: ${{ secrets.GH_ACTIONS_AWS_ACCESS_KEY_ID }} | |
| aws-secret-access-key: ${{ secrets.GH_ACTIONS_AWS_SECRET_ACCESS_KEY }} | |
| aws-region: ${{ secrets.GH_ACTIONS_AWS_REGION }} | |
| - name: install kubectl | |
| run: | | |
| curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl" | |
| chmod +x ./kubectl | |
| sudo mv ./kubectl /usr/local/bin/kubectl | |
| - name: update kubeconfig with cluster | |
| run: | | |
| aws eks update-kubeconfig --name pangeo-forge-v3 --region ${{ secrets.GH_ACTIONS_AWS_REGION }} | |
| - name: execute recipe on k8s cluster | |
| id: executejob | |
| continue-on-error: true | |
| run: | | |
| pangeo-forge-runner \ | |
| bake \ | |
| --repo=${{ github.event.inputs.repo }} \ | |
| --ref=${{ github.event.inputs.ref }} \ | |
| -f .github/workflows/config.py > execute.log | |
| # EXPORT all the valuable information from the logs | |
| JOB_NAME=$(cat execute.log | grep -oP 'flinkdeployment\.flink\.apache\.org/\K[^ ]+' | head -n1) | |
| echo "JOB_NAME=$JOB_NAME" >> $GITHUB_ENV | |
| JOB_ID=$(cat execute.log | grep -oP 'Started Flink job as \K[^ ]+') | |
| echo "JOB_ID=$JOB_ID" >> $GITHUB_ENV | |
| FLINK_DASH=$(cat execute.log | grep -oP "You can run '\K[^']+(?=')") | |
| echo "FLINK_DASH=$FLINK_DASH" >> $GITHUB_ENV | |
| env: | |
| REPO: ${{ github.event.inputs.repo }} | |
| REF: ${{ github.event.inputs.ref }} | |
| FEEDSTOCK_SUBDIR: ${{ github.event.inputs.feedstock_subdir }} | |
| PRUNE_OPTION: ${{ github.event.inputs.prune }} | |
| PARALLELISM_OPTION: ${{ github.event.inputs.parallelism }} | |
| S3_BUCKET: ${{ github.event.inputs.bucket }} | |
| S3_DEFAULT_AWS_ACCESS_KEY_ID: ${{ secrets.S3_DEFAULT_AWS_ACCESS_KEY_ID }} | |
| S3_DEFAULT_AWS_SECRET_ACCESS_KEY: ${{ secrets.S3_DEFAULT_AWS_SECRET_ACCESS_KEY }} | |
| - name: cleanup if "pangeo-forge-runner bake" failed | |
| if: steps.excutejob.outcome == 'failure' | |
| run: | | |
| echo "The previous 'bake' command failed or timed out. Running cleanup logic..." | |
| # much easier to do in bash than in Python via subprocess | |
| echo "##################### OPERATOR ######################" | |
| kubectl get pod | grep operator | cut -d' ' -f1 | xargs -I{} kubectl logs pod/{} | tail -n 1000 | |
| echo "##################### JOB MANAGER ######################" | |
| kubectl get pod | grep -v manager | grep $JOB_NAME | cut -d' ' -f1 | xargs -I{} kubectl logs pod/{} | tail -n 1000 | |
| echo "##################### TASK MANAGER ######################" | |
| kubectl get pod | grep "$JOB_NAME-task-manager" | head -n1 | cut -d' ' -f1 | xargs -I{} kubectl logs pod/{} | tail -n 1000 | |
| # delete the flinkdeployment so we don't have old failures hanging around | |
| kubectl get flinkdepoyment --no-headers | cut -d' ' -f1 | xargs -I{} kubectl delete flinkdeployment/{} | |
| # force GH action to show failed result | |
| exit 128 | |
| - name: report running job id for user | |
| run: | | |
| # TODO: we also need to report historyserver URL and flink dashboard URL | |
| # but this also requires us to think how we're going to have a thin | |
| # layer of authentication around these services so they aren't totally public | |
| echo '############ JOB NAME ################' | |
| echo $JOB_NAME | |
| echo '############ JOB ID ################' | |
| echo $JOB_ID | |
| echo '############ FLINK DASHBOARD ################' | |
| echo $FLINK_DASH |