Merge pull request #25 from cassiebreviu/main #4
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| name: Test and Evaulate Contoso-Support Promptflow | |
| on: | |
| workflow_dispatch: | |
| push: | |
| branches: [ main ] | |
| env: | |
| GROUP: ${{secrets.GROUP}} | |
| WORKSPACE: ${{secrets.WORKSPACE}} | |
| SUBSCRIPTION: ${{secrets.SUBSCRIPTION}} | |
| RUN_NAME: contoso_support | |
| EVAL_RUN_NAME: contoso_support_eval | |
| jobs: | |
| login-runpf-evalpf-assertpf-registermodel: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Check out repo | |
| uses: actions/checkout@v2 | |
| - name: Install az ml extension | |
| run: az extension add -n ml -y | |
| - name: Azure login | |
| uses: azure/login@v1 | |
| with: | |
| creds: ${{secrets.AZURE_CREDENTIALS}} | |
| - name: Set up Python | |
| uses: actions/setup-python@v2 | |
| with: | |
| python-version: '3.11.4' | |
| - name: List current directory | |
| run: ls | |
| - name: Install promptflow | |
| run: pip install -r contoso-support/requirements.txt | |
| - name: Install promptflow again | |
| run: pip install -r contoso-support/requirements.txt | |
| - name: Run promptflow | |
| run: | | |
| pfazure run create -f contoso-support/run.yml --subscription ${{env.SUBSCRIPTION}} -g ${{env.GROUP}} -w ${{env.WORKSPACE}} --stream > run_info.txt | |
| cat run_info.txt | |
| - name: List current directory | |
| run: ls | |
| - name: Set run name | |
| run: | | |
| echo "RUN_NAME=$(python deployment/llmops-helper/parse_run_output.py run_info.txt)" >> "$GITHUB_ENV" | |
| - name: Show the current run name | |
| run: echo "Run name is:" ${{env.RUN_NAME}} | |
| - name: Show promptflow results | |
| run: pfazure run show-details --name ${{env.RUN_NAME}} --subscription ${{env.SUBSCRIPTION}} -g ${{env.GROUP}} -w ${{env.WORKSPACE}} | |
| - name: Run promptflow evaluations | |
| run: | | |
| pfazure run create -f contoso-support/run_evaluation_multi.yml --run ${{env.RUN_NAME}} --subscription ${{env.SUBSCRIPTION}} -g ${{env.GROUP}} -w ${{env.WORKSPACE}} --stream > eval_info.txt | |
| cat eval_info.txt | |
| - name: Get eval run name | |
| run: echo "EVAL_RUN_NAME=$(python deployment/llmops-helper/parse_run_output.py eval_info.txt)" >> "$GITHUB_ENV" | |
| - name: Show the current eval run name | |
| run: echo "Eval run name is:" ${{env.EVAL_RUN_NAME}} | |
| - name: Show promptflow details | |
| run: pfazure run show-details --name ${{env.EVAL_RUN_NAME}} --subscription ${{env.SUBSCRIPTION}} -g ${{env.GROUP}} -w ${{env.WORKSPACE}} | |
| - name: Show promptflow metrics | |
| run: | | |
| pfazure run show-metrics --name ${{env.EVAL_RUN_NAME}} --subscription ${{env.SUBSCRIPTION}} -g ${{env.GROUP}} -w ${{env.WORKSPACE}} > eval_result.json | |
| cat eval_result.json | |
| - name: List current directory | |
| run: ls | |
| - name: Get assert eval results | |
| id: jobMetricAssert | |
| run: | | |
| # NOTE The number after the file is the threshold score to pass the assertion. | |
| export ASSERT=$(python deployment/llmops-helper/assert.py eval_result.json 2) # NOTE <file>.json is the file name and decimal is the threshold for the assertion | |
| echo "::debug::Assert has returned the following value: $ASSERT" | |
| # assert.py will return True or False, but bash expects lowercase. | |
| if ${ASSERT,,} ; then | |
| echo "::debug::Prompt flow run met the quality bar and can be deployed." | |
| echo "::set-output name=result::true" | |
| else | |
| echo "::warning::Prompt flow run didn't meet quality bar." | |
| echo "::set-output name=result::false" | |
| fi | |
| - name: Show the assert result | |
| run: echo "Assert result is:" ${{ steps.jobMetricAssert.outputs.result }} | |
| - name: Register promptflow model | |
| if: ${{ steps.jobMetricAssert.outputs.result == 'true' }} | |
| run: az ml model create --file deployment/support-model.yaml -g ${{env.GROUP}} -w ${{env.WORKSPACE}} |