initial commit

.github/workflows/run-on-cluster.yml

@@ -0,0 +1,42 @@
+name: SAME Program Deployment
+
+on:
+  release:
+    types: [published]
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v2
+    - name: Set env
+      run: echo "RELEASE_VERSION=${GITHUB_REF#refs/*/}" >> $GITHUB_ENV
+    - name: Install SAME Client and Setup credentials
+      run: |
+        curl -L0 https://get.sameproject.org | bash -
+        source ~/.bashrc
+        mkdir -p ~/.kube
+        echo "${{ secrets.kubeconfig }}" > ~/.kube/config
+        cat ~/.kube/config
+        mkdir -p ~/.same
+        touch ~/.same/config
+        echo "activecontext: " >> ~/.same/config.yaml
+        curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"
+        mkdir -p ~/.local/bin/kubectl
+        mv ./kubectl ~/.local/bin/kubectl
+        export PATH=$PATH:~/.local/bin/kubectl
+        echo "export KUBECONFIG=$HOME/.kube/config" >> $HOME/.bashrc
+        export KUBECONFIG=$HOME/.kube/config 
+    - name: Set up Python 3.9
+      uses: actions/setup-python@v2
+      with:
+        python-version: 3.9
+    - name: Install KFP SDK for KFP DSL Compile tool
+      run: |
+        python -m pip install --upgrade pip
+        pip install kfp
+    - name: Deploy & Run SAME Program
+      run: |
+        same program run --experiment-name "${{ github.repository }}" --run-name "RELEASE-${{ env.RELEASE_VERSION }}" --run-param=sha=${{ github.sha }}
+      env:
+        KUBECONFIG: $HOME/.kube/config

README.md

@@ -1 +1,3 @@
-# Housing_Model
+# EXAMPLE-SAME-Enabled-Data-Science-Repo
+
+This is a data science repo that is an example of what downloading from a real data science repo might be like.