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| "nohup", | ||
| "metagenai" | ||
| ], | ||
| "flagWords": [ | ||
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.github/workflows/samples_tutorials_flow_deploy_create_service_with_flow.yml
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| # This code is autogenerated. | ||
| # Code is generated by running custom script: python3 readme.py | ||
| # Any manual changes to this file may cause incorrect behavior. | ||
| # Any manual changes will be overwritten if the code is regenerated. | ||
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| name: samples_tutorials_flow_deploy_create_service_with_flow | ||
| on: | ||
| schedule: | ||
| - cron: "49 22 * * *" # Every day starting at 6:49 BJT | ||
| pull_request: | ||
| branches: [ main ] | ||
| paths: [ examples/**, .github/workflows/samples_tutorials_flow_deploy_create_service_with_flow.yml ] | ||
| workflow_dispatch: | ||
|
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| env: | ||
| IS_IN_CI_PIPELINE: "true" | ||
|
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| jobs: | ||
| samples_readme_ci: | ||
| runs-on: ubuntu-latest | ||
| steps: | ||
| - name: Checkout repository | ||
| uses: actions/checkout@v4 | ||
| - name: Setup Python 3.9 environment | ||
| uses: actions/setup-python@v4 | ||
| with: | ||
| python-version: "3.9" | ||
| - name: Generate config.json for canary workspace (scheduled runs only) | ||
| if: github.event_name == 'schedule' | ||
| run: echo '${{ secrets.TEST_WORKSPACE_CONFIG_JSON_CANARY }}' > ${{ github.workspace }}/examples/config.json | ||
| - name: Generate config.json for production workspace | ||
| if: github.event_name != 'schedule' | ||
| run: echo '${{ secrets.EXAMPLE_WORKSPACE_CONFIG_JSON_PROD }}' > ${{ github.workspace }}/examples/config.json | ||
| - name: Prepare requirements | ||
| working-directory: examples | ||
| run: | | ||
| if [[ -e requirements.txt ]]; then | ||
| python -m pip install --upgrade pip | ||
| pip install -r requirements.txt | ||
| fi | ||
| - name: Prepare dev requirements | ||
| working-directory: examples | ||
| run: | | ||
| python -m pip install --upgrade pip | ||
| pip install -r dev_requirements.txt | ||
| - name: Refine .env file | ||
| working-directory: examples/tutorials/flow-deploy/create-service-with-flow | ||
| run: | | ||
| AOAI_API_KEY=${{ secrets.AOAI_API_KEY_TEST }} | ||
| AOAI_API_ENDPOINT=${{ secrets.AOAI_API_ENDPOINT_TEST }} | ||
| AOAI_API_ENDPOINT=$(echo ${AOAI_API_ENDPOINT//\//\\/}) | ||
| if [[ -e .env.example ]]; then | ||
| echo "env replacement" | ||
| sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" .env.example | ||
| mv .env.example .env | ||
| fi | ||
| - name: Create run.yml | ||
| working-directory: examples/tutorials/flow-deploy/create-service-with-flow | ||
| run: | | ||
| gpt_base=${{ secrets.AOAI_API_ENDPOINT_TEST }} | ||
| gpt_base=$(echo ${gpt_base//\//\\/}) | ||
| if [[ -e run.yml ]]; then | ||
| sed -i -e "s/\${azure_open_ai_connection.api_key}/${{ secrets.AOAI_API_KEY_TEST }}/g" -e "s/\${azure_open_ai_connection.api_base}/$gpt_base/g" run.yml | ||
| fi | ||
| - name: Azure Login | ||
| uses: azure/login@v1 | ||
| with: | ||
| creds: ${{ secrets.AZURE_CREDENTIALS }} | ||
| - name: Extract Steps examples/tutorials/flow-deploy/create-service-with-flow/README.md | ||
| working-directory: ${{ github.workspace }} | ||
| run: | | ||
| python scripts/readme/extract_steps_from_readme.py -f examples/tutorials/flow-deploy/create-service-with-flow/README.md -o examples/tutorials/flow-deploy/create-service-with-flow | ||
| - name: Cat script | ||
| working-directory: examples/tutorials/flow-deploy/create-service-with-flow | ||
| run: | | ||
| cat bash_script.sh | ||
| - name: Run scripts | ||
| working-directory: examples/tutorials/flow-deploy/create-service-with-flow | ||
| run: | | ||
| export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }} | ||
| export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }} | ||
| export test_workspace_sub_id=${{ secrets.TEST_WORKSPACE_SUB_ID }} | ||
| export test_workspace_rg=${{ secrets.TEST_WORKSPACE_RG }} | ||
| export test_workspace_name=${{ secrets.TEST_WORKSPACE_NAME_CANARY }} | ||
| bash bash_script.sh | ||
| - name: Pip List for Debug | ||
| if : ${{ always() }} | ||
| working-directory: examples/tutorials/flow-deploy/create-service-with-flow | ||
| run: | | ||
| pip list | ||
| - name: Upload artifact | ||
| if: ${{ always() }} | ||
| uses: actions/upload-artifact@v3 | ||
| with: | ||
| name: artifact | ||
| path: examples/tutorials/flow-deploy/create-service-with-flow/bash_script.sh |
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38 changes: 38 additions & 0 deletions
38
examples/tutorials/flow-deploy/create-service-with-flow/README.md
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| # Create service with flow | ||
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| This example shows how to create a simple service with flow. | ||
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| You can create your own service by utilize `flow-as-function`. | ||
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| This folder contains a example on how to build a service with a flow. | ||
| Reference [here](./simple_score.py) for a minimal service example. | ||
| The output of score.py will be a json serialized dictionary. | ||
| You can use json parser to parse the output. | ||
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| ## 1. Start the service and put in background | ||
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| ```bash | ||
| nohup python simple_score.py & | ||
| # Note: added this to run in our CI pipeline, not needed for user. | ||
| sleep 10 | ||
| ``` | ||
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| ## 2. Test the service with request | ||
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| Executing the following command to send a request to execute a flow. | ||
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| ```bash | ||
| curl -X POST http://127.0.0.1:5000/score --header "Content-Type: application/json" --data '{"flow_input": "some_flow_input", "node_input": "some_node_input"}' | ||
| ``` | ||
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| Sample output of the request: | ||
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| ```json | ||
| { | ||
| "output": { | ||
| "value": "some_flow_input" | ||
| } | ||
| } | ||
| ``` | ||
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| Reference [here](./simple_score.py) for more. |
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examples/tutorials/flow-deploy/create-service-with-flow/readme.md
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