chore: import upstream snapshot with attribution
tools_continuous_delivery / Private PyPI non-main branch release (push) Has been skipped
tools_continuous_delivery / Private PyPI main branch release (push) Failing after 2m42s
Publish Promptflow Doc / Build (push) Has been cancelled
Publish Promptflow Doc / Deploy (push) Has been cancelled
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This commit is contained in:
wehub-resource-sync
2026-07-13 13:39:52 +08:00
commit e768098d0e
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name: Build Doc CI
on:
workflow_dispatch:
pull_request:
branches:
- main
paths:
- 'README.md'
- 'docs/**'
- 'examples/**.ipynb'
- 'scripts/docs/**'
- '.github/workflows/build_doc_ci.yml'
- 'src/promptflow-tracing/promptflow/**'
- 'src/promptflow-core/promptflow/**'
- 'src/promptflow-devkit/promptflow/**'
- 'src/promptflow-azure/promptflow/**'
- 'src/promptflow-rag/promptflow/**'
- 'src/promptflow-evals/promptflow/**'
env:
packageSetupType: promptflow_with_extra
testWorkingDirectory: ${{ github.workspace }}/src/promptflow
jobs:
build_doc_job:
runs-on: windows-latest
name: Build Doc
steps:
- name: Checkout Repo
uses: actions/checkout@v2
with:
submodules: true
- name: Python Setup
uses: "./.github/actions/step_create_python_environment"
- name: Install packages
shell: pwsh
# Note: Use -e to avoid duplicate object warning when build apidoc.
run: |
pip uninstall -y promptflow-tracing promptflow-core promptflow-devkit promptflow-azure promptflow-rag promptflow-evals
pip install -e ${{ github.workspace }}/src/promptflow-tracing
pip install -e ${{ github.workspace }}/src/promptflow-core
pip install -e ${{ github.workspace }}/src/promptflow-devkit
pip install -e ${{ github.workspace }}/src/promptflow-azure
pip install -e ${{ github.workspace }}/src/promptflow-rag
pip install -e ${{ github.workspace }}/src/promptflow-evals
pip freeze
- name: Build doc with reference doc
shell: powershell
working-directory: scripts/docs/
run: |-
pip install langchain tenacity<8.4.0
./doc_generation.ps1 -WithReferenceDoc:$true -WarningAsError:$true
# Note: We have this job separately because some error may missing when build link check exists.
link_check_job:
runs-on: windows-latest
name: Build Link Check
steps:
- name: Checkout Repo
uses: actions/checkout@v2
with:
submodules: true
- name: Python Setup
uses: "./.github/actions/step_create_python_environment"
- name: Install packages
shell: pwsh
# Note: Use -e to avoid duplicate object warning when build apidoc.
run: |
pip uninstall -y promptflow-tracing promptflow-core promptflow-devkit promptflow-azure promptflow-rag promptflow-evals
pip install -e ${{ github.workspace }}/src/promptflow-tracing
pip install -e ${{ github.workspace }}/src/promptflow-core
pip install -e ${{ github.workspace }}/src/promptflow-devkit
pip install -e ${{ github.workspace }}/src/promptflow-azure
pip install -e ${{ github.workspace }}/src/promptflow-rag
pip install -e ${{ github.workspace }}/src/promptflow-evals
pip freeze
- name: Build LinkCheck
shell: powershell
working-directory: scripts/docs/
run: |-
pip install langchain tenacity<8.4.0
./doc_generation.ps1 -WithReferenceDoc:$true -WarningAsError:$true -BuildLinkCheck
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name: Build and Package MSI & Portable Installer
on:
workflow_dispatch:
inputs:
uploadAsLatest:
type: string
default: "False"
required: false
description: 'Also upload the msi installer to storage account as latest'
version:
type: string
default: ""
required: false
description: 'Version of promptflow to install (optional). Will build locally if not specified.'
set_msi_private_version:
type: string
default: ""
required: false
description: 'Set the version of the private msi installer'
permissions:
id-token: write
contents: read
env:
packageSetupType: promptflow_with_extra
testWorkingDirectory: src/promptflow
AZURE_ACCOUNT_NAME: promptflowartifact
AZURE_MSI_CONTAINER_NAME: msi-installer
AZURE_PORTABLE_CONTAINER_NAME: portable-installer
jobs:
build_msi_installer:
runs-on: windows-latest
name: Build Windows MSI
environment:
internal
steps:
- name: Check input parameters
run: |
echo "uploadAsLatest: ${{ inputs.uploadAsLatest }}"
echo "version: ${{ inputs.version }}"
echo "set_msi_private_version: ${{ inputs.set_msi_private_version }}"
- name: Checkout Repo
uses: actions/checkout@v3
with:
submodules: true
- name: Add msbuild to PATH
uses: microsoft/setup-msbuild@v1.1
- name: Install WIX Toolset
shell: pwsh
working-directory: ${{ github.workspace }}/scripts/installer/windows
run: |
Invoke-WebRequest -Uri 'https://azurecliprod.blob.core.windows.net/msi/wix310-binaries-mirror.zip' -OutFile 'wix-archive.zip'
Expand-Archive -Path 'wix-archive.zip' -DestinationPath 'wix'
Remove-Item -Path 'wix-archive.zip'
- name: Python Setup
uses: "./.github/actions/step_create_python_environment"
- name: Install stable promptflow
if: ${{ github.event.inputs.version != null && github.event.inputs.version != '' }}
run: |
pip install "promptflow[azure,executable,azureml-serving,executor-service]==$env:INPUT_VERSION" promptflow-tools
echo "There's no promptflow-evals in pypi, we need to install it from source for now"
pip install ${{ github.workspace }}/src/promptflow-evals
env:
INPUT_VERSION: ${{ github.event.inputs.version }}
shell: pwsh
- name: Get promptflow version
id: get-version
# Convert string to int since the version tuple used in "version_info" can't start with 0.
run: |
if ($env:INPUT_VERSION) {
$version=$env:INPUT_VERSION
$run_version=$(python -c "import promptflow; print(promptflow.__version__)")
if ($version -ne $run_version) {
throw "Version input does not match the version in promptflow package. Version input: $version, version in promptflow package: $run_version"
}
}
elseif ($env:MSI_PRIVATE_VERSION) {
$version=$env:MSI_PRIVATE_VERSION
}
else {
$prefix = 0
$year = [int](Get-Date -Format "yy")
$monthday = [int](Get-Date -Format "MMdd")
$hourminutesecond = [int](Get-Date -Format "HHmmss")
$version="$prefix.$year.$monthday.$hourminutesecond"
}
echo "::set-output name=version::$version"
env:
INPUT_VERSION: ${{ github.event.inputs.version }}
MSI_PRIVATE_VERSION: ${{ github.event.inputs.set_msi_private_version }}
shell: pwsh
- name: Update promptflow package version when set msi private version
if: ${{ github.event.inputs.set_msi_private_version != null && github.event.inputs.set_msi_private_version != '' }}
run: |
$override_version = 'VERSION = "{0}"' -f $env:MSI_PRIVATE_VERSION
Write-Host "'$override_version' as version"
$override_version | Out-File -FilePath "./src/promptflow/promptflow/_version.py" -Encoding ASCII
shell: pwsh
env:
MSI_PRIVATE_VERSION: ${{ github.event.inputs.set_msi_private_version }}
- name: Setup and Install dev promptflow
if: ${{ github.event.inputs.version == null || github.event.inputs.version == '' }}
uses: "./.github/actions/step_sdk_setup"
with:
setupType: promptflow_with_extra
scriptPath: ${{ env.testWorkingDirectory }}
- name: Setup and Install separate dev promptflow
if: ${{ github.event.inputs.version == null || github.event.inputs.version == '' }}
shell: pwsh
run: |
Set-PSDebug -Trace 1
pip install -r ${{ github.workspace }}/src/promptflow/dev_requirements.txt
pip install ${{ github.workspace }}/src/promptflow-tracing
pip install ${{ github.workspace }}/src/promptflow-core[executor-service,azureml-serving]
pip install ${{ github.workspace }}/src/promptflow-devkit[pyarrow,executable]
pip install ${{ github.workspace }}/src/promptflow-azure
pip install ${{ github.workspace }}/src/promptflow-evals
echo "Should fix this after pf-core could install this dependency"
pip install azureml-ai-monitoring
pip freeze
- name: Generate promptflow spec file to config pyinstaller
working-directory: ${{ github.workspace }}/scripts/installer/windows/scripts
run: |
python generate_dependency.py
Get-Content promptflow.spec
- name: Build Pyinstaller project
working-directory: ${{ github.workspace }}/scripts/installer/windows/scripts
run: |
echo 'Version from promptflow: ${{ steps.get-version.outputs.version }}'
$text = Get-Content "version_info.txt" -Raw
$versionString = '${{ steps.get-version.outputs.version }}'
$versionArray = $versionString.Split('.')
if ($versionArray.Count -ge 4) {
$versionArray = $versionArray[0..3]
} else {
$remainingLength = 4 - $versionArray.Count
$zerosToAppend = @(0) * $remainingLength
$versionArray += $zerosToAppend
}
$versionTuple = [string]::Join(', ', $versionArray)
$text = $text -replace '\$\((env\.FILE_VERSION)\)', $versionTuple
$text = $text -replace '\$\((env\.CLI_VERSION)\)', '${{ steps.get-version.outputs.version }}'
$text | Out-File -FilePath "version_info.txt" -Encoding utf8
pyinstaller promptflow.spec
shell: pwsh
- name: Generate portable promptflow
run: |
Compress-Archive -Path ${{ github.workspace }}/scripts/installer/windows/scripts/dist/promptflow -DestinationPath promptflow-${{ steps.get-version.outputs.version }}.zip
shell: pwsh
- name: Build WIX project
working-directory: ${{ github.workspace }}/scripts/installer/windows
run: |
$text = Get-Content "promptflow.wixproj" -Raw
$text = $text -replace '\$\((env\.CLI_VERSION)\)', '${{ steps.get-version.outputs.version }}'
$text | Out-File -FilePath "promptflow.wixproj" -Encoding utf8
$text = Get-Content "product.wxs" -Raw
$text = $text -replace '\$\((env\.CLI_VERSION)\)', '${{ steps.get-version.outputs.version }}'
$text | Out-File -FilePath "product.wxs" -Encoding utf8
msbuild /t:rebuild /p:Configuration=Release /p:Platform=x64 promptflow.wixproj
shell: pwsh
- uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Download JSON file from Azure Blob Storage
id: download-json
run: |
az storage blob download --account-name ${{ env.AZURE_ACCOUNT_NAME }} --container-name ${{ env.AZURE_MSI_CONTAINER_NAME }} --name latest_version.json --file downloaded_version.json --auth-mode login
$downloaded_version = (Get-Content downloaded_version.json | ConvertFrom-Json).promptflow
echo "::set-output name=downloaded_version::$downloaded_version"
- name: Check if version input is valid and upload JSON file
run: |
$version = "${{ steps.get-version.outputs.version }}"
$downloaded_version = "${{ steps.download-json.outputs.downloaded_version }}"
$uploadAsLatest = "${{ github.event.inputs.uploadAsLatest }}"
if ($uploadAsLatest -ieq 'True' -and $version -like '1.*' -and [Version]$version -gt [Version]$downloaded_version){
$jsonContent = @{
"promptflow" = $version
} | ConvertTo-Json -Depth 100
$jsonContent | Out-File -FilePath latest_version.json -Encoding UTF8
Write-Output "Created latest_version.json with version: $version"
az storage blob upload --account-name ${{ env.AZURE_ACCOUNT_NAME }} --container-name ${{ env.AZURE_MSI_CONTAINER_NAME }} --file "latest_version.json" --name "latest_version.json" --overwrite --auth-mode login
} else {
Write-Output "skip uploading since version input isn't greater than latest version or does not start with '1.'"
}
- name: Upload to Azure Storage
run: |
function Upload-File($filePath, $blobName, $containerName) {
az storage blob upload --account-name ${{ env.AZURE_ACCOUNT_NAME }} --container-name $containerName --file $filePath --name $blobName --overwrite --auth-mode login
}
$msi_files = Get-ChildItem -Path 'scripts/installer/windows/out/' -Filter *.msi
foreach ($msi_file in $msi_files) {
if ($env:INPUT_UPLOADASLATEST -ieq 'True') {
Upload-File "scripts/installer/windows/out/$($msi_file.Name)" "promptflow.msi" ${{ env.AZURE_MSI_CONTAINER_NAME }}
az storage blob copy start --account-name ${{ env.AZURE_ACCOUNT_NAME }} --destination-container ${{ env.AZURE_MSI_CONTAINER_NAME }} --destination-blob "$($msi_file.Name)" --source-container ${{ env.AZURE_MSI_CONTAINER_NAME }} --source-blob "promptflow.msi" --auth-mode login
} else {
Upload-File "scripts/installer/windows/out/$($msi_file.Name)" "$($msi_file.Name)" ${{ env.AZURE_MSI_CONTAINER_NAME }}
}
}
# Upload zip file
if ($env:INPUT_UPLOADASLATEST -ieq 'True') {
Upload-File "promptflow-${{ steps.get-version.outputs.version }}.zip" "promptflow.zip" ${{ env.AZURE_PORTABLE_CONTAINER_NAME }}
az storage blob copy start --account-name ${{ env.AZURE_ACCOUNT_NAME }} --destination-container ${{ env.AZURE_PORTABLE_CONTAINER_NAME }} --destination-blob "promptflow-${{ steps.get-version.outputs.version }}.zip" --source-container ${{ env.AZURE_PORTABLE_CONTAINER_NAME }} --source-blob "promptflow.zip" --auth-mode login
} else {
Upload-File "promptflow-${{ steps.get-version.outputs.version }}.zip" "promptflow-${{ steps.get-version.outputs.version }}.zip" ${{ env.AZURE_PORTABLE_CONTAINER_NAME }}
}
env:
INPUT_UPLOADASLATEST: ${{ github.event.inputs.uploadAsLatest }}
shell: pwsh
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name: check_enforcer
on:
pull_request:
branches: [ main ]
jobs:
check_enforcer:
runs-on: ubuntu-latest
permissions:
checks: read
contents: read
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- run: env | sort >> $GITHUB_OUTPUT
- name: Python Setup - ubuntu-latest - Python Version 3.9
uses: "./.github/actions/step_create_python_environment"
with:
pythonVersion: 3.9
- run: pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: Summarize check status
id: summarize_check_status
working-directory: ${{ github.workspace }}
shell: pwsh
run: |
python ${{ github.workspace }}/scripts/check_enforcer/check_enforcer.py -t "${{ github.workspace }}"
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
SNIPPET_DEBUG: 1
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name: Create promptflow release branch
on:
workflow_dispatch:
inputs:
# specify when trigger
# expected format: 0.1.0b1 or 1.0.0
release_version:
description: Release version
required: true
type: string
jobs:
create_release_branch:
runs-on: ubuntu-latest
permissions:
contents: write
steps:
- name: checkout
uses: actions/checkout@v2
- name: create branch
run: |
set -x -e
release_version="${{ inputs.release_version }}"
if [[ "$release_version" =~ ^[0-9]+\.[0-9]+\.[0-9]+(b[0-9]+)?$ ]]; then
echo "configured release version: $release_version"
else
echo "invalid configured release version: $release_version"
exit 1
fi
release_branch_name="release/promptflow/$release_version"
echo "release branch name: $release_branch_name, checking out..."
git checkout -b $release_branch_name
git config --global user.name 'promptflow release'
git config --global user.email 'aml-pt-eng@microsoft.com'
git push --set-upstream origin $release_branch_name
@@ -0,0 +1,87 @@
name: Create promptflow release tag
on:
workflow_dispatch:
inputs:
release_version:
description: "Release version"
required: true
type: string
jobs:
create_release_tag:
runs-on: ubuntu-latest
permissions:
contents: write
steps:
- name: checkout
uses: actions/checkout@v2
- name: create branch
run: |
set -x -e
branch_name="${{ github.ref_name }}"
echo "branch name: $branch_name"
if [[ $branch_name != release/promptflow/* ]]; then
echo "not a release branch for promptflow, exiting..."
exit 1
fi
release_version=${branch_name#release/promptflow/}
echo "release version: $release_version"
echo "replacing version in src/promptflow/promptflow/_version.py..."
sed -i "s/0.0.1/$release_version/g" src/promptflow/promptflow/_version.py
echo "replaced src/promptflow/promptflow/_version.py:"
cat src/promptflow/promptflow/_version.py
if [[ $(git diff --name-only) == *"src/promptflow/promptflow/_version.py"* ]]; then
git add src/promptflow/promptflow/_version.py
git config --global user.name 'promptflow release'
git config --global user.email 'aml-pt-eng@microsoft.com'
git commit -m "update version in _version.py for promptflow"
git push --set-upstream origin $branch_name
fi
git tag promptflow_$release_version
git push origin --tags
# write environment variable to `GITHUB_ENV` to pass values between steps
# https://docs.github.com/en/github-ae@latest/actions/learn-github-actions/variables#passing-values-between-steps-and-jobs-in-a-workflow
echo "release_version=$release_version" >> "$GITHUB_ENV"
echo "release_tag=$release_tag" >> "$GITHUB_ENV"
- name: create asset
run: |
cd src
tar -czvf promptflow-$release_version.tar.gz promptflow
- name: create release note
run: |
cp ./scripts/release/promptflow-release-note.md ./src/promptflow/release_note.md
sed -i "s/{{VERSION}}/$release_version/g" ./src/promptflow/release_note.md
cat ./src/promptflow/release_note.md
- name: create release
id: create_release
uses: actions/create-release@v1
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
tag_name: promptflow_${{ inputs.release_version }}
release_name: promptflow ${{ inputs.release_version }}
body_path: ./src/promptflow/release_note.md
draft: false
prerelease: false
- name: upload asset
uses: actions/upload-release-asset@v1
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
upload_url: ${{ steps.create_release.outputs.upload_url }}
asset_path: ./src/promptflow-${{ inputs.release_version }}.tar.gz
asset_name: promptflow-${{ inputs.release_version }}.tar.gz
asset_content_type: application/gzip
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name: Flake8 Lint
on:
push:
branches:
- main
pull_request:
branches:
- main
jobs:
flake8:
runs-on: ubuntu-latest
steps:
- name: checkout code
uses: actions/checkout@v2
- name: setup python
uses: actions/setup-python@v2
with:
python-version: 3.9
- name: install dependencies
run: pip install flake8
- name: run flake8
run: flake8
@@ -0,0 +1,35 @@
name: examples_flowdag_schema_check
on:
pull_request:
paths:
- examples/**
- .github/workflows/flowdag_schema_check.yml
- scripts/readme/schema_checker.py
env:
IS_IN_CI_PIPELINE: "true"
jobs:
examples_flowdag_schema_check:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- run: env | sort >> $GITHUB_OUTPUT
- name: Python Setup - ubuntu-latest - Python Version 3.9
uses: "./.github/actions/step_create_python_environment"
with:
pythonVersion: 3.9
- run: |
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
pip install -r ${{ github.workspace }}/examples/requirements.txt
- name: Summarize check status
id: summarize_check_status
working-directory: ${{ github.workspace }}
shell: pwsh
env:
PYTHONPATH: ${{ github.workspace }}/src/promptflow
run: |
cd ${{ github.workspace }}/src
pip install ./promptflow[azure]
pip install ./promptflow-tools
python ${{ github.workspace }}/scripts/readme/schema_checker.py
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name: "Pull Request Labeler"
on:
- pull_request_target
jobs:
triage:
permissions:
contents: read
pull-requests: write
runs-on: ubuntu-latest
steps:
- uses: actions/labeler@v4
- name: apply a label to pull request from fork
if: ${{ github.event.pull_request.head.repo.full_name != 'microsoft/promptflow' }}
uses: actions/github-script@v7
with:
script: |
github.rest.issues.addLabels({
issue_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
labels: ['external']
})
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name: promptflow-core-test [Pure]
on:
schedule:
- cron: "40 18 * * *" # 2:40 Beijing Time (GMT+8) every day
pull_request:
paths:
- src/promptflow-tracing/**
- src/promptflow-core/**
- .github/workflows/promptflow-core-test.yml
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
PF_DISABLE_TRACING: "false"
TRACING_DIRECTORY: ${{ github.workspace }}/src/promptflow-tracing
WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-core
RECORD_DIRECTORY: ${{ github.workspace }}/src/promptflow-recording
PROMPTFLOW_DIRECTORY: ${{ github.workspace }}/src/promptflow
permissions:
id-token: write
contents: read
jobs:
core_test:
environment:
internal
strategy:
matrix:
os: [ubuntu-latest]
python-version: ['3.9', '3.10', '3.11']
fail-fast: false
# snok/install-poetry need this to support Windows
defaults:
run:
shell: bash
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- uses: snok/install-poetry@v1
- name: install test dependency group
run: |
poetry install -E executor-service --with ci,test
poetry run pip show promptflow-tracing
poetry run pip show promptflow-core
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: generate end-to-end test config from secret
run: echo '${{ secrets.PF_TRACING_E2E_TEST_CONFIG }}' >> connections.json
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: set test mode
run: |
echo "PROMPT_FLOW_TEST_MODE=$(if [[ "${{ github.event_name }}" == "pull_request" ]]; then echo replay; else echo live; fi)" >> $GITHUB_ENV
- name: Azure login (non pull_request workflow)
if: github.event_name != 'pull_request'
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: generate live test resources (non pull_request workflow)
if: github.event_name != 'pull_request'
uses: "./.github/actions/step_generate_configs"
with:
targetFolder: ${{ env.PROMPTFLOW_DIRECTORY }}
- name: generate live test resources (pull_request workflow)
if: github.event_name == 'pull_request'
working-directory: ${{ env.PROMPTFLOW_DIRECTORY }}
run: |
cp ${{ github.workspace }}/src/promptflow/dev-connections.json.example ${{ github.workspace }}/src/promptflow/connections.json
- name: run core tests
run: poetry run pytest ./tests/core --cov=promptflow --cov-config=pyproject.toml --cov-report=term --cov-report=html --cov-report=xml --tb=short
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: upload coverage report
uses: actions/upload-artifact@v4
with:
name: report-${{ matrix.os }}-py${{ matrix.python-version }}
path: |
${{ env.WORKING_DIRECTORY }}/core/*.xml
${{ env.WORKING_DIRECTORY }}/core/htmlcov/
azureml_serving_test:
environment:
internal
strategy:
matrix:
os: [ubuntu-latest]
python-version: ['3.9', '3.10', '3.11']
fail-fast: false
# snok/install-poetry need this to support Windows
defaults:
run:
shell: bash
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- uses: snok/install-poetry@v1
- name: install test dependency group
run: |
poetry install -E azureml-serving --with ci,test
poetry run pip show promptflow-tracing
poetry run pip show promptflow-core
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: set test mode
run: |
echo "PROMPT_FLOW_TEST_MODE=$(if [[ "${{ github.event_name }}" == "pull_request" ]]; then echo replay; else echo live; fi)" >> $GITHUB_ENV
- name: Azure login (non pull_request workflow)
if: github.event_name != 'pull_request'
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: generate live test resources (non pull_request workflow)
if: github.event_name != 'pull_request'
uses: "./.github/actions/step_generate_configs"
with:
targetFolder: ${{ env.PROMPTFLOW_DIRECTORY }}
- name: generate live test resources (pull_request workflow)
if: github.event_name == 'pull_request'
working-directory: ${{ env.PROMPTFLOW_DIRECTORY }}
run: |
cp ${{ github.workspace }}/src/promptflow/dev-connections.json.example ${{ github.workspace }}/src/promptflow/connections.json
- name: run azureml-serving tests
run: poetry run pytest ./tests/azureml-serving --cov=promptflow --cov-config=pyproject.toml --cov-report=term --cov-report=html --cov-report=xml --tb=short
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: upload coverage report
uses: actions/upload-artifact@v4
with:
name: report-${{ matrix.os }}-py${{ matrix.python-version }}
path: |
${{ env.WORKING_DIRECTORY }}/azureml-serving/*.xml
${{ env.WORKING_DIRECTORY }}/azureml-serving/htmlcov/
report:
needs: [core_test, azureml_serving_test]
runs-on: ubuntu-latest
permissions:
checks: write
pull-requests: write
contents: read
issues: read
steps:
- uses: actions/download-artifact@v4
with:
path: artifacts
- uses: EnricoMi/publish-unit-test-result-action@v2
with:
check_name: promptflow-core test result
comment_title: promptflow-core test result
files: "artifacts/**/test-results.xml" # align with `--junit-xml` in pyproject.toml
# TODO: Enable coverage check after core test fully setup
# - uses: irongut/CodeCoverageSummary@v1.3.0
# with:
# filename: "artifacts/report-ubuntu-latest-py3.9/coverage.xml"
# badge: true
# fail_below_min: true
# format: markdown
# hide_complexity: true
# output: both
# thresholds: 40 60
@@ -0,0 +1,105 @@
name: promptflow-evals-e2e-test-azure
on:
schedule:
- cron: "40 10 * * *" # 2:40 PST every day
pull_request:
paths:
- src/promptflow-evals/**
- .github/workflows/promptflow-evals-e2e-test-azure.yml
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-evals
permissions:
id-token: write
contents: read
jobs:
test:
strategy:
matrix:
os: [ubuntu-latest, windows-latest, macos-13]
python-version: ['3.9', '3.10', '3.11']
fail-fast: false
# snok/install-poetry need this to support Windows
defaults:
run:
shell: bash
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- name: set test mode
# Always run in replay mode for now until we figure out the test resource to run live mode
run: echo "PROMPT_FLOW_TEST_MODE=replay" >> $GITHUB_ENV
#run: echo "PROMPT_FLOW_TEST_MODE=$(if [[ "${{ github.event_name }}" == "pull_request" ]]; then echo replay; else echo live; fi)" >> $GITHUB_ENV
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- uses: snok/install-poetry@v1
- name: install test dependency group
run: poetry install --only test
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install promptflow packages in editable mode
run: |
poetry run pip install -e ../promptflow
poetry run pip install -e ../promptflow-core
poetry run pip install -e ../promptflow-devkit
poetry run pip install -e ../promptflow-tracing
poetry run pip install -e ../promptflow-tools
poetry run pip install -e ../promptflow-azure
poetry run pip install -e ../promptflow-evals
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install recording
run: poetry run pip install -e ../promptflow-recording
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: generate end-to-end test config from secret
run: echo '${{ secrets.PF_EVALS_E2E_TEST_CONFIG }}' >> connections.json
working-directory: ${{ env.WORKING_DIRECTORY }}
- uses: azure/login@v1
with:
client-id: ${{ secrets.PF_EVALS_SP_CLIENT_ID }}
tenant-id: ${{ secrets.PF_EVALS_SP_TENANT_ID }}
subscription-id: ${{ secrets.PF_EVALS_SP_SUBSCRIPTION_ID }}
- name: run e2e tests
id: run_e2e_tests_azure
run: |
poetry run pytest -m azuretest --cov=promptflow --cov-config=pyproject.toml --cov-report=term --cov-report=html --cov-report=xml
poetry run python ../../scripts/code_qa/report_to_app_insights.py --activity e2e_tests_azure --junit-xml test-results.xml --git-hub-action-run-id ${{ github.run_id }} --git-hub-workflow ${{ github.workflow }} --git-hub-action ${{ github.action }} --git-branch ${{ github.ref }}
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: upload coverage report
uses: actions/upload-artifact@v4
with:
name: report-${{ matrix.os }}-py${{ matrix.python-version }}
path: |
${{ env.WORKING_DIRECTORY }}/*.xml
${{ env.WORKING_DIRECTORY }}/htmlcov/
report:
needs: test
runs-on: ubuntu-latest
permissions:
checks: write
pull-requests: write
contents: read
issues: read
steps:
- uses: actions/download-artifact@v4
with:
path: artifacts
- uses: EnricoMi/publish-unit-test-result-action@v2
with:
check_name: promptflow-evals test result
comment_title: promptflow-evals test result
files: "artifacts/**/test-results.xml" # align with `--junit-xml` in pyproject.toml
- uses: irongut/CodeCoverageSummary@v1.3.0
with:
filename: "artifacts/report-ubuntu-latest-py3.11/coverage.xml"
badge: true
fail_below_min: false
format: markdown
hide_complexity: true
output: both
thresholds: 40 80
@@ -0,0 +1,107 @@
name: promptflow-evals-e2e-test-local
on:
schedule:
- cron: "40 10 * * *" # 2:40 PST every day
pull_request:
paths:
- src/promptflow-evals/**
- .github/workflows/promptflow-evals-e2e-test-local.yml
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-evals
permissions:
id-token: write
contents: read
jobs:
test:
strategy:
matrix:
os: [ubuntu-latest, windows-latest, macos-13]
python-version: ['3.9', '3.10', '3.11']
fail-fast: false
# snok/install-poetry need this to support Windows
defaults:
run:
shell: bash
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- name: set test mode
# Always run in replay mode for now until we figure out the test resource to run live mode
run: echo "PROMPT_FLOW_TEST_MODE=replay" >> $GITHUB_ENV
#run: echo "PROMPT_FLOW_TEST_MODE=$(if [[ "${{ github.event_name }}" == "pull_request" ]]; then echo replay; else echo live; fi)" >> $GITHUB_ENV
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- uses: snok/install-poetry@v1
- name: install test dependency group
run: poetry install --only test
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install recording
run: poetry run pip install -e ../promptflow-recording
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install promptflow packages in editable mode
run: |
poetry run pip install -e ../promptflow
poetry run pip install -e ../promptflow-core
poetry run pip install -e ../promptflow-devkit
poetry run pip install -e ../promptflow-tracing
poetry run pip install -e ../promptflow-tools
poetry run pip install -e ../promptflow-evals
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: generate end-to-end test config from secret
run: echo '${{ secrets.PF_EVALS_E2E_TEST_CONFIG }}' >> connections.json
working-directory: ${{ env.WORKING_DIRECTORY }}
- uses: azure/login@v1
with:
client-id: ${{ secrets.PF_EVALS_SP_CLIENT_ID }}
tenant-id: ${{ secrets.PF_EVALS_SP_TENANT_ID }}
subscription-id: ${{ secrets.PF_EVALS_SP_SUBSCRIPTION_ID }}
- name: check azure is not installed
run: poetry run pytest ../../scripts/code_qa/assert_local_install.py
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: run e2e tests
id: run_e2e_tests_local
run: |
poetry run pytest -m localtest tests/evals/e2etests --cov=promptflow --cov-config=pyproject.toml --cov-report=term --cov-report=html --cov-report=xml
poetry run python ../../scripts/code_qa/report_to_app_insights.py --activity e2e_tests_local --junit-xml test-results.xml --git-hub-action-run-id ${{ github.run_id }} --git-hub-workflow ${{ github.workflow }} --git-hub-action ${{ github.action }} --git-branch ${{ github.ref }}
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: upload coverage report
uses: actions/upload-artifact@v4
with:
name: report-${{ matrix.os }}-py${{ matrix.python-version }}
path: |
${{ env.WORKING_DIRECTORY }}/*.xml
${{ env.WORKING_DIRECTORY }}/htmlcov/
report:
needs: test
runs-on: ubuntu-latest
permissions:
checks: write
pull-requests: write
contents: read
issues: read
steps:
- uses: actions/download-artifact@v4
with:
path: artifacts
- uses: EnricoMi/publish-unit-test-result-action@v2
with:
check_name: promptflow-evals test result
comment_title: promptflow-evals test result
files: "artifacts/**/test-results.xml" # align with `--junit-xml` in pyproject.toml
- uses: irongut/CodeCoverageSummary@v1.3.0
with:
filename: "artifacts/report-ubuntu-latest-py3.11/coverage.xml"
badge: true
fail_below_min: false
format: markdown
hide_complexity: true
output: both
thresholds: 40 80
@@ -0,0 +1,61 @@
name: promptflow-evals-installation-test
on:
schedule:
- cron: "40 10 * * *" # 2:40 PST every day
pull_request:
paths:
- src/promptflow-evals/**
- .github/workflows/promptflow-evals-installation-test.yml
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-evals
PROMPT_FLOW_TEST_MODE: "live"
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: snok/install-poetry@v1
- name: build
run: poetry build
working-directory: ${{ env.WORKING_DIRECTORY }}
- uses: actions/upload-artifact@v4
with:
name: promptflow-evals
path: ${{ env.WORKING_DIRECTORY }}/dist/promptflow_evals-*.whl
test:
needs: build
strategy:
matrix:
os: [ubuntu-latest, windows-latest, macos-13]
python-version: ['3.9', '3.10', '3.11']
fail-fast: false
# snok/install-poetry need this to support Windows
defaults:
run:
shell: bash
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- uses: actions/download-artifact@v4
with:
name: promptflow-evals
path: ${{ env.WORKING_DIRECTORY }}
- name: install virtualenv
run: python -m pip install virtualenv
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install promptflow-evals from wheel
id: install_promptflow_no_extras
run: |
bash ../../scripts/code_qa/calculate_install_time.sh -r ${{ github.run_id }} -w ${{ github.workflow }} -a ${{ github.action }} -b ${{ github.ref }} -l "300"
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install promptflow-evals from wheel
id: install_promptflow_with_extras
run: |
bash ../../scripts/code_qa/calculate_install_time.sh -r ${{ github.run_id }} -w ${{ github.workflow }} -a ${{ github.action }} -b ${{ github.ref }} -e "[azure]" -l "300"
working-directory: ${{ env.WORKING_DIRECTORY }}
@@ -0,0 +1,71 @@
name: promptflow-evals-performance-test
on:
schedule:
- cron: "40 10 * * *" # 2:40 PST every day
pull_request:
paths:
- src/promptflow-evals/**
- .github/workflows/promptflow-evals-performance-test.yml
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-evals
PROMPT_FLOW_TEST_MODE: "live"
permissions:
id-token: write
contents: read
jobs:
test:
strategy:
matrix:
os: [ubuntu-latest, windows-latest, macos-13]
python-version: ['3.9', '3.10', '3.11']
fail-fast: false
# snok/install-poetry need this to support Windows
defaults:
run:
shell: bash
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- uses: snok/install-poetry@v1
- name: install test dependency group
run: poetry install --only test
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install promptflow-evals from wheel
id: install_promptflow
run: |
# Estimate the installation time.
poetry run pip install -e ../promptflow
poetry run pip install -e ../promptflow-core
poetry run pip install -e ../promptflow-devkit
poetry run pip install -e ../promptflow-tracing
poetry run pip install -e ../promptflow-tools
poetry run pip install -e ../promptflow-azure
poetry run pip install -e ../promptflow-evals
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install recording
run: poetry run pip install -e ../promptflow-recording
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: generate end-to-end test config from secret
run: echo '${{ secrets.PF_EVALS_E2E_TEST_CONFIG }}' >> connections.json
working-directory: ${{ env.WORKING_DIRECTORY }}
- uses: azure/login@v1
with:
client-id: ${{ secrets.PF_EVALS_SP_CLIENT_ID }}
tenant-id: ${{ secrets.PF_EVALS_SP_TENANT_ID }}
subscription-id: ${{ secrets.PF_EVALS_SP_SUBSCRIPTION_ID }}
- name: run performance tests
id: performance_tests
run: |
# Estimate the run time for evaluator.
poetry run pytest -m performance_test --junit-xml=test-results.xml
poetry run python ../../scripts/code_qa/report_to_app_insights.py --activity evaluator_live_tests_run_time_s --junit-xml test-results.xml --git-hub-action-run-id ${{ github.run_id }} --git-hub-workflow ${{ github.workflow }} --git-hub-action ${{ github.action }} --git-branch ${{ github.ref }}
working-directory: ${{ env.WORKING_DIRECTORY }}
@@ -0,0 +1,88 @@
name: promptflow-evals-unit-test
on:
schedule:
- cron: "40 10 * * *" # 2:40 PST every day
pull_request:
paths:
- src/promptflow-evals/**
- .github/workflows/promptflow-evals-unit-test.yml
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-evals
jobs:
test:
strategy:
matrix:
os: [ubuntu-latest, windows-latest, macos-13]
python-version: ['3.9', '3.10', '3.11']
fail-fast: false
# snok/install-poetry need this to support Windows
defaults:
run:
shell: bash
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- uses: snok/install-poetry@v1
- name: install test dependency group
run: poetry install --only test
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install promptflow packages in editable mode
run: |
poetry run pip install -e ../promptflow
poetry run pip install -e ../promptflow-core
poetry run pip install -e ../promptflow-devkit
poetry run pip install -e ../promptflow-tracing
poetry run pip install -e ../promptflow-tools
poetry run pip install -e ../promptflow-azure
poetry run pip install -e ../promptflow-evals
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install recording
run: poetry run pip install -e ../promptflow-recording
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: run unit tests
id: run_unit_tests
run: |
poetry run pytest -m unittest --cov=promptflow --cov-config=pyproject.toml --cov-report=term --cov-report=html --cov-report=xml --cov-fail-under=58
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: upload coverage report
uses: actions/upload-artifact@v4
with:
name: report-${{ matrix.os }}-py${{ matrix.python-version }}
path: |
${{ env.WORKING_DIRECTORY }}/*.xml
${{ env.WORKING_DIRECTORY }}/htmlcov/
report:
needs: test
runs-on: ubuntu-latest
permissions:
checks: write
pull-requests: write
contents: read
issues: read
steps:
- uses: actions/download-artifact@v4
with:
path: artifacts
- uses: EnricoMi/publish-unit-test-result-action@v2
with:
check_name: promptflow-evals test result
comment_title: promptflow-evals test result
files: "artifacts/**/test-results.xml" # align with `--junit-xml` in pyproject.toml
- uses: irongut/CodeCoverageSummary@v1.3.0
with:
filename: "artifacts/report-ubuntu-latest-py3.9/coverage.xml"
badge: true
fail_below_min: false
format: markdown
hide_complexity: true
output: both
thresholds: 40 60
@@ -0,0 +1,173 @@
name: promptflow-executor-e2e-test
on:
schedule:
- cron: "40 20 * * *" # Every day starting at 4:40 BJT
workflow_dispatch:
env:
packageSetupType: promptflow_with_extra
testWorkingDirectory: ${{ github.workspace }}/src/promptflow
PYTHONPATH: ${{ github.workspace }}/src/promptflow
IS_IN_CI_PIPELINE: "true"
RECORD_DIRECTORY: ${{ github.workspace }}/src/promptflow-recording
permissions:
id-token: write
contents: read
jobs:
authorize:
environment:
# forked prs from pull_request_target will be run in external environment, domain prs will be run in internal environment
${{ github.event_name == 'pull_request_target' &&
github.event.pull_request.head.repo.full_name != github.repository &&
'external' || 'internal' }}
runs-on: ubuntu-latest
steps:
- run: true
build:
needs: authorize
strategy:
fail-fast: false
runs-on: ubuntu-latest
steps:
- name: checkout
uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha || github.ref }}
fetch-depth: 0
- name: merge main to current branch
uses: "./.github/actions/step_merge_main"
- name: Display and Set Environment Variables
run: |
env | sort >> $GITHUB_OUTPUT
id: display_env
shell: bash -el {0}
- name: Python Setup - ubuntu-latest - Python Version 3.9
uses: "./.github/actions/step_create_python_environment"
with:
pythonVersion: 3.9
- name: Build wheel
uses: "./.github/actions/step_sdk_setup"
with:
setupType: promptflow_with_extra
scriptPath: ${{ env.testWorkingDirectory }}
- name: Upload Wheel
if: always()
uses: actions/upload-artifact@v3
with:
name: wheel
path: |
${{ github.workspace }}/src/promptflow/dist/*.whl
${{ github.workspace }}/src/promptflow-tools/dist/*.whl
executor_e2e_tests:
needs: build
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest]
environment:
internal
runs-on: ${{ matrix.os }}
steps:
- name: Set test mode
run: echo "PROMPT_FLOW_TEST_MODE=$(if [[ "${{ github.event_name }}" == "pull_request_target" ]]; then echo replay; else echo live; fi)" >> $GITHUB_ENV
- name: checkout
uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha || github.ref }}
fetch-depth: 0
- name: merge main to current branch
uses: "./.github/actions/step_merge_main"
- name: Python Setup - ${{ matrix.os }} - Python Version 3.9
uses: "./.github/actions/step_create_python_environment"
with:
pythonVersion: 3.9
- name: Download Artifacts
uses: actions/download-artifact@v3
with:
name: wheel
path: artifacts
- name: Install wheel
shell: pwsh
working-directory: artifacts
run: |
Set-PSDebug -Trace 1
pip install -r ${{ github.workspace }}/src/promptflow/dev_requirements.txt
pip install ${{ github.workspace }}/src/promptflow-tracing
pip install ${{ github.workspace }}/src/promptflow-core[executor-service]
pip install ${{ github.workspace }}/src/promptflow-devkit
pip install ${{ github.workspace }}/src/promptflow-azure
gci ./promptflow -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)"}}
gci ./promptflow-tools -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install $_.FullName}}
pip freeze
- name: install recording
run: |
pip install vcrpy
pip install .
working-directory: ${{ env.RECORD_DIRECTORY }}
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Generate Configs
uses: "./.github/actions/step_generate_configs"
with:
targetFolder: ${{ env.testWorkingDirectory }}
- name: Get number of CPU cores
uses: SimenB/github-actions-cpu-cores@v1
id: cpu-cores
- name: Run Coverage Test
shell: pwsh
working-directory: ${{ github.workspace }}
run: |
gci env:* | sort-object name
az account show
pip install langchain-community tenacity<8.4.0
# numexpr is required by langchain in e2e tests.
pip install numexpr
python scripts/building/run_coverage_tests.py `
-p ${{ env.testWorkingDirectory }}/promptflow `
-t ${{ env.testWorkingDirectory }}/tests/executor/e2etests `
-l eastus `
-m "all" `
-n ${{ steps.cpu-cores.outputs.count }}`
--coverage-config ${{ env.testWorkingDirectory }}/tests/executor/.coveragerc `
--disable-cov-branch
- name: Upload Test Results
if: always()
uses: actions/upload-artifact@v3
with:
name: Test Results (Python 3.9) (OS ${{ matrix.os }})
path: |
${{ github.workspace }}/*.xml
${{ github.workspace }}/htmlcov/
publish-test-results:
name: "Publish Tests Results"
needs: executor_e2e_tests
runs-on: ubuntu-latest
permissions:
checks: write
pull-requests: write
contents: read
issues: read
if: always()
steps:
- name: checkout
uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha || github.ref }}
fetch-depth: 0
- name: merge main to current branch
uses: "./.github/actions/step_merge_main"
- name: Publish Test Results
uses: "./.github/actions/step_publish_test_results"
with:
testActionFileName: promptflow-executor-e2e-test.yml
testResultTitle: Executor E2E Test Result
osVersion: ubuntu-latest
pythonVersion: 3.9
coverageThreshold: 70
context: test/executor_e2e
@@ -0,0 +1,175 @@
name: promptflow-executor-unit-test
on:
schedule:
- cron: "40 19 * * *" # Every day starting at 3:40 BJT
workflow_dispatch:
permissions:
id-token: write
contents: read
env:
packageSetupType: promptflow_with_extra
testWorkingDirectory: ${{ github.workspace }}/src/promptflow
PYTHONPATH: ${{ github.workspace }}/src/promptflow
IS_IN_CI_PIPELINE: "true"
RECORD_DIRECTORY: ${{ github.workspace }}/src/promptflow-recording
jobs:
authorize:
environment:
# forked prs from pull_request_target will be run in external environment, domain prs will be run in internal environment
${{ github.event_name == 'pull_request_target' &&
github.event.pull_request.head.repo.full_name != github.repository &&
'external' || 'internal' }}
runs-on: ubuntu-latest
steps:
- run: true
build:
needs: authorize
strategy:
fail-fast: false
runs-on: ubuntu-latest
steps:
- name: checkout
uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha || github.ref }}
fetch-depth: 0
- name: merge main to current branch
uses: "./.github/actions/step_merge_main"
- name: Display and Set Environment Variables
run: |
env | sort >> $GITHUB_OUTPUT
id: display_env
shell: bash -el {0}
- name: Python Setup - ubuntu-latest - Python Version 3.9
uses: "./.github/actions/step_create_python_environment"
with:
pythonVersion: 3.9
- name: Build wheel
uses: "./.github/actions/step_sdk_setup"
with:
setupType: promptflow_with_extra
scriptPath: ${{ env.testWorkingDirectory }}
- name: Upload Wheel
if: always()
uses: actions/upload-artifact@v3
with:
name: wheel
path: |
${{ github.workspace }}/src/promptflow/dist/*.whl
${{ github.workspace }}/src/promptflow-tools/dist/*.whl
executor_unit_tests:
needs: build
environment:
internal
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest]
runs-on: ${{ matrix.os }}
steps:
- name: Set test mode
run: echo "PROMPT_FLOW_TEST_MODE=$(if [[ "${{ github.event_name }}" == "pull_request_target" ]]; then echo replay; else echo live; fi)" >> $GITHUB_ENV
- name: checkout
uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha || github.ref }}
fetch-depth: 0
- name: merge main to current branch
uses: "./.github/actions/step_merge_main"
- name: Display and Set Environment Variables
run: |
env | sort >> $GITHUB_OUTPUT
id: display_env
shell: bash -el {0}
- name: Python Setup - ${{ matrix.os }} - Python Version 3.9
uses: "./.github/actions/step_create_python_environment"
with:
pythonVersion: 3.9
- name: Download Artifacts
uses: actions/download-artifact@v3
with:
name: wheel
path: artifacts
- name: Install wheel
shell: pwsh
working-directory: artifacts
run: |
Set-PSDebug -Trace 1
pip install -r ${{ github.workspace }}/src/promptflow/dev_requirements.txt
pip install ${{ github.workspace }}/src/promptflow-tracing
pip install ${{ github.workspace }}/src/promptflow-core[executor-service]
pip install ${{ github.workspace }}/src/promptflow-devkit
pip install ${{ github.workspace }}/src/promptflow-azure
gci ./promptflow -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)"}}
gci ./promptflow-tools -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install $_.FullName}}
pip freeze
- name: install recording
run: |
pip install vcrpy
pip install .
working-directory: ${{ env.RECORD_DIRECTORY }}
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Generate Configs
uses: "./.github/actions/step_generate_configs"
with:
targetFolder: ${{ env.testWorkingDirectory }}
- name: Get number of CPU cores
uses: SimenB/github-actions-cpu-cores@v1
id: cpu-cores
- name: Run Coverage Test
shell: pwsh
working-directory: ${{ github.workspace }}
run: |
gci env:* | sort-object name
az account show
pip install langchain-community tenacity<8.4.0
python scripts/building/run_coverage_tests.py `
-p ${{ env.testWorkingDirectory }}/promptflow `
-t ${{ env.testWorkingDirectory }}/tests/executor/unittests `
-l eastus `
-m "all" `
-n ${{ steps.cpu-cores.outputs.count }} `
--coverage-config ${{ env.testWorkingDirectory }}/tests/executor/.coveragerc `
--disable-cov-branch
- name: Upload Test Results
if: always()
uses: actions/upload-artifact@v3
with:
name: Test Results (Python 3.9) (OS ${{ matrix.os }})
path: |
${{ github.workspace }}/*.xml
${{ github.workspace }}/htmlcov/
publish-test-results:
name: "Publish Tests Results"
needs: executor_unit_tests
runs-on: ubuntu-latest
permissions:
checks: write
pull-requests: write
contents: read
issues: read
if: always()
steps:
- name: checkout
uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha || github.ref }}
fetch-depth: 0
- name: merge main to current branch
uses: "./.github/actions/step_merge_main"
- name: Publish Test Results
uses: "./.github/actions/step_publish_test_results"
with:
testActionFileName: promptflow-executor-unit-test.yml
testResultTitle: Executor Unit Test Result
osVersion: ubuntu-latest
pythonVersion: 3.9
coverageThreshold: 50
token: ${{ secrets.GITHUB_TOKEN }}
context: test/executor_unit
@@ -0,0 +1,126 @@
name: promptflow-global-config-test
on:
schedule:
- cron: "40 18 * * *" # Every day starting at 2:40 BJT
workflow_dispatch:
permissions:
id-token: write
contents: read
env:
IS_IN_CI_PIPELINE: "true"
RECORD_DIRECTORY: ${{ github.workspace }}/src/promptflow-recording
TRACING_DIRECTORY: ${{ github.workspace }}/src/promptflow-tracing
CORE_DIRECTORY: ${{ github.workspace }}/src/promptflow-core
WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-devkit
PROMPTFLOW_DIRECTORY: ${{ github.workspace }}/src/promptflow
TOOL_DIRECTORY: ${{ github.workspace }}/src/promptflow-tools
AZURE_DIRECTORY: ${{ github.workspace }}/src/promptflow-azure
jobs:
authorize:
environment:
# forked prs from pull_request_target will be run in external environment, domain prs will be run in internal environment
${{ github.event_name == 'pull_request_target' &&
github.event.pull_request.head.repo.full_name != github.repository &&
'external' || 'internal' }}
runs-on: ubuntu-latest
steps:
- run: true
sdk_cli_global_config_tests:
needs: authorize
environment:
internal
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest]
runs-on: ${{ matrix.os }}
steps:
- name: checkout
uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha || github.ref }}
fetch-depth: 0
- name: merge main to current branch
uses: "./.github/actions/step_merge_main"
- name: Display and Set Environment Variables
run: |
export pyVersion="3.9"
env | sort >> $GITHUB_OUTPUT
id: display_env
shell: bash -el {0}
- uses: actions/setup-python@v5
with:
python-version: ${{ steps.display_env.outputs.pyVersion }}
- uses: snok/install-poetry@v1
- name: install test dependency group
working-directory: ${{ env.WORKING_DIRECTORY }}
run: |
set -xe
poetry install --only test
poetry run pip install ${{ env.TRACING_DIRECTORY }}
poetry run pip install ${{ env.CORE_DIRECTORY }}[azureml-serving]
poetry run pip install -e ${{ env.WORKING_DIRECTORY }}[pyarrow]
poetry run pip install -e ${{ env.AZURE_DIRECTORY }}
echo "Need to install promptflow to avoid tool dependency issue"
poetry run pip install ${{ env.PROMPTFLOW_DIRECTORY }}
poetry run pip install ${{ env.TOOL_DIRECTORY }}
poetry run pip install -e ${{ env.RECORD_DIRECTORY }}
poetry run pip show promptflow-tracing
poetry run pip show promptflow-core
poetry run pip show promptflow-devkit
poetry run pip show promptflow-azure
poetry run pip show promptflow-tools
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Install Azure Login items
working-directory: ${{ env.WORKING_DIRECTORY }}
run: |
pip install azure-identity
pip install azure-keyvault
- name: Generate Configs
uses: "./.github/actions/step_generate_configs"
with:
targetFolder: ${{ env.PROMPTFLOW_DIRECTORY }}
- name: run devkit tests
run: |
poetry run pytest ./tests/sdk_cli_global_config_test --cov=promptflow --cov-config=pyproject.toml \
--cov-report=term --cov-report=html --cov-report=xml -n auto -m "unittest or e2etest" --tb=short
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: Upload Test Results
if: always()
uses: actions/upload-artifact@v3
with:
name: Test Results (Python ${{ steps.display_env.outputs.pyVersion }}) (OS ${{ matrix.os }})
path: |
${{ env.WORKING_DIRECTORY }}/*.xml
${{ env.WORKING_DIRECTORY }}/htmlcov/
publish-test-results-global-config-test:
needs: sdk_cli_global_config_tests
runs-on: ubuntu-latest
permissions:
checks: write
pull-requests: write
contents: read
issues: read
if: always()
steps:
- name: checkout
uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha || github.ref }}
- name: Publish Test Results
uses: "./.github/actions/step_publish_test_results"
with:
testActionFileName: promptflow-global-config-test.yml
testResultTitle: SDK CLI Global Config Test Result
osVersion: ubuntu-latest
pythonVersion: 3.9
coverageThreshold: 0
context: test/sdk_cli
@@ -0,0 +1,66 @@
name: promptflow-import-linter
on:
pull_request:
paths:
- src/promptflow-tracing/**
- src/promptflow-core/**
- src/promptflow-devkit/**
- src/promptflow-azure/**
- .github/workflows/promptflow-import-linter.yml
workflow_dispatch:
env:
WORKING_DIRECTORY: ${{ github.workspace }}
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python 3.11
uses: actions/setup-python@v5
with:
python-version: 3.11
- uses: snok/install-poetry@v1
- name: Install all packages
run: |
touch src/promptflow-tracing/promptflow/__init__.py
poetry install -C ${{ env.WORKING_DIRECTORY }}/src/promptflow-tracing --with dev
touch src/promptflow-core/promptflow/__init__.py
poetry install -C ${{ env.WORKING_DIRECTORY }}/src/promptflow-core --with dev
touch src/promptflow-devkit/promptflow/__init__.py
poetry install -C ${{ env.WORKING_DIRECTORY }}/src/promptflow-devkit --with dev
touch src/promptflow-azure/promptflow/__init__.py
poetry install -C ${{ env.WORKING_DIRECTORY }}/src/promptflow-azure --with dev
touch src/promptflow-evals/promptflow/__init__.py
poetry install -C ${{ env.WORKING_DIRECTORY }}/src/promptflow-evals --with dev
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: import lint
run: |
echo "=== Running import lint in promptflow-tracing ==="
poetry -C ${{ env.WORKING_DIRECTORY }}/src/promptflow-tracing run lint-imports
echo "=== Running import lint in promptflow-core ==="
poetry -C ${{ env.WORKING_DIRECTORY }}/src/promptflow-core run lint-imports
echo "=== Running import lint in promptflow-devkit ==="
poetry -C ${{ env.WORKING_DIRECTORY }}/src/promptflow-devkit run lint-imports
echo "=== Running import lint in promptflow-azure ==="
poetry -C ${{ env.WORKING_DIRECTORY }}/src/promptflow-azure run lint-imports
echo "=== Running import lint in promptflow-evals ==="
poetry -C ${{ env.WORKING_DIRECTORY }}/src/promptflow-evals run lint-imports
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: import lint testing private imports from global
working-directory: ${{ env.WORKING_DIRECTORY }}/src/promptflow-azure
run: |
set -xe
rm ${{ env.WORKING_DIRECTORY }}/src/promptflow-tracing/promptflow/__init__.py
rm ${{ env.WORKING_DIRECTORY }}/src/promptflow-core/promptflow/__init__.py
rm ${{ env.WORKING_DIRECTORY }}/src/promptflow-devkit/promptflow/__init__.py
rm ${{ env.WORKING_DIRECTORY }}/src/promptflow-azure/promptflow/__init__.py
rm ${{ env.WORKING_DIRECTORY }}/src/promptflow-evals/promptflow/__init__.py
echo "=== Add more import linter when facing more import errors ==="
echo "=== promptflow-azure full lints ==="
poetry run pip install langchain
poetry run pip install "tenacity<8.4.0"
poetry run python ${{ github.workspace }}/scripts/import_linter/import_linter.py
@@ -0,0 +1,87 @@
name: promptflow-parallel-e2e-test
on:
schedule:
- cron: "40 10 * * *" # 2:40 PST every day
pull_request:
paths:
- src/promptflow/**
- src/promptflow-core/**
- src/promptflow-tracing/**
- src/promptflow-parallel/**
- .github/workflows/promptflow-parallel-e2e-test.yml
workflow_dispatch:
permissions:
id-token: write
contents: read
env:
IS_IN_CI_PIPELINE: "true"
WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-parallel
jobs:
parallel-e2e-test:
strategy:
matrix:
os: [ubuntu-latest, windows-latest, macos-13]
python-version: ['3.9', '3.10', '3.11']
fail-fast: false
# snok/install-poetry need this to support Windows
defaults:
run:
shell: bash
environment:
internal
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- name: set test mode
# Always run in replay mode for now until we figure out the test resource to run live mode
run: echo "PROMPT_FLOW_TEST_MODE=replay" >> $GITHUB_ENV
#run: echo "PROMPT_FLOW_TEST_MODE=$(if [[ "${{ github.event_name }}" == "pull_request" ]]; then echo replay; else echo live; fi)" >> $GITHUB_ENV
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- uses: snok/install-poetry@v1
- name: install promptflow packages in editable mode
run: |
set -xe
poetry install --with ci,test
poetry run pip show promptflow-tracing
poetry run pip show promptflow-core
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: run e2e tests
run: poetry run pytest -m e2etest --cov=promptflow --cov-config=pyproject.toml --cov-report=term --cov-report=html --cov-report=xml
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: Upload Test Results
if: always()
uses: actions/upload-artifact@v3
with:
name: Test Results (Python ${{ matrix.python-version }}) (OS ${{ matrix.os }})
path: |
${{ env.WORKING_DIRECTORY }}/*.xml
${{ env.WORKING_DIRECTORY }}/htmlcov/
parallel-e2e-test-report:
needs: test
runs-on: ubuntu-latest
permissions:
checks: write
pull-requests: write
contents: read
issues: read
if: always()
steps:
- name: checkout
uses: actions/checkout@v4
- name: Publish Test Results
uses: "./.github/actions/step_publish_test_results"
with:
testActionFileName: promptflow-parallel-e2e-test.yml
testResultTitle: Parallel E2E Test Result
osVersion: ubuntu-latest
pythonVersion: 3.9
coverageThreshold: 40
context: test/parallel-e2e
@@ -0,0 +1,87 @@
name: promptflow-parallel-unit-test
on:
schedule:
- cron: "40 10 * * *" # 2:40 PST every day
pull_request:
paths:
- src/promptflow/**
- src/promptflow-core/**
- src/promptflow-tracing/**
- src/promptflow-parallel/**
- .github/workflows/promptflow-parallel-unit-test.yml
workflow_dispatch:
permissions:
id-token: write
contents: read
env:
IS_IN_CI_PIPELINE: "true"
WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-parallel
jobs:
parallel-unit-test:
strategy:
matrix:
os: [ubuntu-latest, windows-latest, macos-13]
python-version: ['3.9', '3.10', '3.11']
fail-fast: false
# snok/install-poetry need this to support Windows
defaults:
run:
shell: bash
environment:
internal
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- name: set test mode
# Always run in replay mode for now until we figure out the test resource to run live mode
run: echo "PROMPT_FLOW_TEST_MODE=replay" >> $GITHUB_ENV
#run: echo "PROMPT_FLOW_TEST_MODE=$(if [[ "${{ github.event_name }}" == "pull_request" ]]; then echo replay; else echo live; fi)" >> $GITHUB_ENV
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- uses: snok/install-poetry@v1
- name: install promptflow packages in editable mode
run: |
set -xe
poetry install --with ci,test
poetry run pip show promptflow-tracing
poetry run pip show promptflow-core
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: run unit tests
run: poetry run pytest -m unittest --cov=promptflow --cov-config=pyproject.toml --cov-report=term --cov-report=html --cov-report=xml
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: Upload Test Results
if: always()
uses: actions/upload-artifact@v3
with:
name: Test Results (Python ${{ matrix.python-version }}) (OS ${{ matrix.os }})
path: |
${{ env.WORKING_DIRECTORY }}/*.xml
${{ env.WORKING_DIRECTORY }}/htmlcov/
parallel-unit-test-report:
needs: test
runs-on: ubuntu-latest
permissions:
checks: write
pull-requests: write
contents: read
issues: read
if: always()
steps:
- name: checkout
uses: actions/checkout@v4
- name: Publish Test Results
uses: "./.github/actions/step_publish_test_results"
with:
testActionFileName: promptflow-parallel-unit-test.yml
testResultTitle: Parallel Unit Test Result
osVersion: ubuntu-latest
pythonVersion: 3.9
coverageThreshold: 40
context: test/parallel-unit
@@ -0,0 +1,468 @@
name: promptflow-release-testing-matrix
on:
workflow_call:
workflow_dispatch:
inputs:
# can leave empty when trigger manually
# GitHub Actions API for trigger does not return workflow run id
# there we reference below Stack Overflow solution:
# https://stackoverflow.com/a/69500478
# which adds an identifier in workflow run jobs and can be used for filter
id:
description: Identifier for the workflow run
required: false
type: string
env:
IS_IN_CI_PIPELINE: "true"
TRACING_DIRECTORY: ${{ github.workspace }}/src/promptflow-tracing
AZURE_DIRECTORY: ${{ github.workspace }}/src/promptflow-azure
CORE_DIRECTORY: ${{ github.workspace }}/src/promptflow-core
DEVKIT_DIRECTORY: ${{ github.workspace }}/src/promptflow-devkit
PROMPTFLOW_DIRECTORY: ${{ github.workspace }}/src/promptflow
TOOL_DIRECTORY: ${{ github.workspace }}/src/promptflow-tools
RECORD_DIRECTORY: ${{ github.workspace }}/src/promptflow-recording
PROMPT_FLOW_WORKSPACE_NAME: "promptflow-eastus"
permissions:
id-token: write
contents: read
jobs:
id:
runs-on: ubuntu-latest
steps:
- name: workflow run id - ${{ inputs.id }}
run: |
echo "workflow run id: ${{ inputs.id }}"
build:
runs-on: ubuntu-latest
steps:
- name: checkout
uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.9"
- uses: snok/install-poetry@v1
- working-directory: ${{ env.TRACING_DIRECTORY }}
run: poetry build -f wheel
- working-directory: ${{ env.CORE_DIRECTORY }}
run: poetry build -f wheel
- working-directory: ${{ env.DEVKIT_DIRECTORY }}
run: poetry build -f wheel
- working-directory: ${{ env.AZURE_DIRECTORY }}
run: poetry build -f wheel
- working-directory: ${{ env.PROMPTFLOW_DIRECTORY }}
run: |
pip install -r ./dev_requirements.txt
python ./setup.py bdist_wheel
- working-directory: ${{ env.TOOL_DIRECTORY }}
run: python ./setup.py bdist_wheel
- name: Upload Wheel
uses: actions/upload-artifact@v3
with:
name: wheel
path: |
${{ github.workspace }}/src/promptflow/dist/*.whl
${{ github.workspace }}/src/promptflow-tracing/dist/*.whl
${{ github.workspace }}/src/promptflow-core/dist/*.whl
${{ github.workspace }}/src/promptflow-devkit/dist/*.whl
${{ github.workspace }}/src/promptflow-azure/dist/*.whl
${{ github.workspace }}/src/promptflow-tools/dist/*.whl
promptflow_tracing_tests:
if: ${{ github.event_name == 'workflow_dispatch' || github.event_name == 'workflow_call' || github.event_name == 'pull_request' }}
needs: build
env:
PROMPT_FLOW_TEST_MODE: "live"
WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-tracing
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, windows-latest, macos-13]
pythonVersion: ['3.9', '3.10', '3.11']
defaults:
run:
shell: bash
runs-on: ${{ matrix.os }}
steps:
- name: checkout
uses: actions/checkout@v4
- name: Display and Set Environment Variables
run:
env | sort >> $GITHUB_OUTPUT
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.pythonVersion }}
- uses: snok/install-poetry@v1
- name: Download Artifacts
uses: actions/download-artifact@v3
with:
name: wheel
path: ${{ env.WORKING_DIRECTORY }}/artifacts
- name: install promptflow-tracing from wheel
# wildcard expansion (*) does not work in Windows, so leverage python to find and install
run: poetry run pip install $(python -c "import glob; print(glob.glob('**/promptflow_tracing-*.whl', recursive=True)[0])")
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install test dependency group
run: poetry install --only test
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install recording
run: poetry install
working-directory: ${{ env.RECORD_DIRECTORY }}
- name: generate end-to-end test config from secret
run: echo '${{ secrets.PF_TRACING_E2E_TEST_CONFIG }}' >> connections.json
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: run e2e tests
run: poetry run pytest -m e2etest --tb=short
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: upload coverage report
uses: actions/upload-artifact@v4
with:
name: promptflow_tracing_tests report-${{ matrix.os }}-py${{ matrix.pythonVersion }}
path: |
${{ env.WORKING_DIRECTORY }}/*.xml
promptflow_core_tests:
if: ${{ github.event_name == 'workflow_dispatch' || github.event_name == 'workflow_call' || github.event_name == 'pull_request' }}
needs: build
environment:
internal
env:
PROMPT_FLOW_TEST_MODE: "live"
WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-core
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, windows-latest, macos-13]
pythonVersion: ['3.9', '3.10', '3.11']
# snok/install-poetry need this to support Windows
defaults:
run:
shell: bash
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.pythonVersion }}
- uses: snok/install-poetry@v1
- name: Download Artifacts
uses: actions/download-artifact@v3
with:
name: wheel
path: ${{ env.WORKING_DIRECTORY }}/artifacts
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Generate Configs
uses: "./.github/actions/step_generate_configs"
with:
targetFolder: ${{ env.PROMPTFLOW_DIRECTORY }}
- name: install promptflow-core from wheel
# wildcard expansion (*) does not work in Windows, so leverage python to find and install
run: |
poetry run pip install $(python -c "import glob; print(glob.glob('**/promptflow_tracing-*.whl', recursive=True)[0])")
poetry run pip install $(python -c "import glob; print(glob.glob('**/promptflow_core-*.whl', recursive=True)[0])")
poetry run pip install -e ../promptflow-recording
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install test dependency group
run: poetry install --only test
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: run core tests
run: poetry run pytest ./tests/core --tb=short
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: upload coverage report
uses: actions/upload-artifact@v4
with:
name: promptflow_core_tests report-${{ matrix.os }}-py${{ matrix.pythonVersion }}
path: |
${{ env.WORKING_DIRECTORY }}/*.xml
promptflow_core_azureml_serving_tests:
if: ${{ github.event_name == 'workflow_dispatch' || github.event_name == 'workflow_call' || github.event_name == 'pull_request' }}
needs: build
env:
PROMPT_FLOW_TEST_MODE: "live"
WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-core
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, windows-latest, macos-13]
pythonVersion: ['3.9', '3.10', '3.11']
# snok/install-poetry need this to support Windows
defaults:
run:
shell: bash
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.pythonVersion }}
- uses: snok/install-poetry@v1
- name: Download Artifacts
uses: actions/download-artifact@v3
with:
name: wheel
path: ${{ env.WORKING_DIRECTORY }}/artifacts
- name: install promptflow-core from wheel
# wildcard expansion (*) does not work in Windows, so leverage python to find and install
run: |
poetry run pip install $(python -c "import glob; print(glob.glob('**/promptflow_tracing-*.whl', recursive=True)[0])")
poetry run pip install $(python -c "import glob; print(glob.glob('**/promptflow_core-*.whl', recursive=True)[0]+'[azureml-serving]')")
poetry run pip install -e ../promptflow-recording
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install test dependency group
run: poetry install --only test
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: run azureml-serving tests
run: poetry run pytest ./tests/azureml-serving --tb=short
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: upload report
uses: actions/upload-artifact@v4
with:
name: promptflow_core_azureml_serving_tests report-${{ matrix.os }}-py${{ matrix.pythonVersion }}
path: |
${{ env.WORKING_DIRECTORY }}/*.xml
promptflow_devkit_tests:
if: ${{ github.event_name == 'workflow_dispatch' || github.event_name == 'workflow_call' || github.event_name == 'pull_request' }}
needs: build
environment:
internal
env:
PROMPT_FLOW_TEST_MODE: "live"
WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-devkit
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, windows-latest, macos-13]
pythonVersion: ['3.9', '3.10', '3.11']
# snok/install-poetry need this to support Windows
defaults:
run:
shell: bash
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.pythonVersion }}
- uses: snok/install-poetry@v1
- name: Download Artifacts
uses: actions/download-artifact@v3
with:
name: wheel
path: ${{ env.WORKING_DIRECTORY }}/artifacts
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Generate Configs
uses: "./.github/actions/step_generate_configs"
with:
targetFolder: ${{ env.PROMPTFLOW_DIRECTORY }}
- name: install promptflow-devkit from wheel
# wildcard expansion (*) does not work in Windows, so leverage python to find and install
run: |
poetry run pip install $(python -c "import glob; print(glob.glob('**/promptflow_tracing-*.whl', recursive=True)[0])")
poetry run pip install $(python -c "import glob; print(glob.glob('**/promptflow_core-*.whl', recursive=True)[0]+'[azureml-serving]')")
poetry run pip install $(python -c "import glob; print(glob.glob('**/promptflow_devkit-*.whl', recursive=True)[0]+'[executable]')")
poetry run pip install $(python -c "import glob; print(glob.glob('**/promptflow-*.whl', recursive=True)[0])")
poetry run pip install $(python -c "import glob; print(glob.glob('**/promptflow_tools-*.whl', recursive=True)[0])")
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install test dependency group
run: poetry install --only test
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: run devkit tests
run: poetry run pytest ./tests/sdk_cli_test ./tests/sdk_pfs_test -n auto -m "unittest or e2etest" --tb=short
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: upload coverage report
uses: actions/upload-artifact@v4
with:
name: promptflow_devkit_tests report-${{ matrix.os }}-py${{ matrix.pythonVersion }}
path: |
${{ env.WORKING_DIRECTORY }}/*.xml
promptflow_azure_tests:
needs: build
environment:
internal
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, windows-latest, macos-13]
pythonVersion: ['3.9', '3.10', '3.11']
env:
PROMPT_FLOW_TEST_MODE: "live"
WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-azure
PROMPT_FLOW_WORKSPACE_NAME: "promptflow-eastus"
# snok/install-poetry need this to support Windows
defaults:
run:
shell: bash
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.pythonVersion }}
- uses: snok/install-poetry@v1
- name: Download Artifacts
uses: actions/download-artifact@v3
with:
name: wheel
path: ${{ env.WORKING_DIRECTORY }}/artifacts
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Generate Configs
uses: "./.github/actions/step_generate_configs"
with:
targetFolder: ${{ env.PROMPTFLOW_DIRECTORY }}
- name: install promptflow-azure from wheel
# wildcard expansion (*) does not work in Windows, so leverage python to find and install
run: |
poetry run pip install $(python -c "import glob; print(glob.glob('**/promptflow_tracing-*.whl', recursive=True)[0])")
poetry run pip install $(python -c "import glob; print(glob.glob('**/promptflow_core-*.whl', recursive=True)[0]+'[azureml-serving]')")
poetry run pip install $(python -c "import glob; print(glob.glob('**/promptflow_devkit-*.whl', recursive=True)[0]+'[executable]')")
poetry run pip install $(python -c "import glob; print(glob.glob('**/promptflow_azure-*.whl', recursive=True)[0])")
poetry run pip install $(python -c "import glob; print(glob.glob('**/promptflow-*.whl', recursive=True)[0])")
poetry run pip install $(python -c "import glob; print(glob.glob('**/promptflow_tools-*.whl', recursive=True)[0])")
poetry run pip install -e ../promptflow-recording
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install test dependency group
run: poetry install --only test
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: run azure tests
run: poetry run pytest ./tests/sdk_cli_azure_test -n auto -m "unittest or e2etest" --tb=short
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: upload coverage report
uses: actions/upload-artifact@v4
with:
name: promptflow_azure_tests report-${{ matrix.os }}-py${{ matrix.pythonVersion }}
path: |
${{ env.WORKING_DIRECTORY }}/*.xml
promptflow_executor_tests:
if: ${{ github.event_name == 'workflow_dispatch' || github.event_name == 'workflow_call' || github.event_name == 'pull_request' }}
needs: build
environment:
internal
env:
testWorkingDirectory: src/promptflow
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, windows-latest, macos-13]
pythonVersion: ['3.9', '3.10', '3.11']
runs-on: ${{ matrix.os }}
steps:
- name: checkout
uses: actions/checkout@v4
- name: Display and Set Environment Variables
run:
env | sort >> $GITHUB_OUTPUT
shell: bash -el {0}
- name: Python Env Setup - ${{ matrix.os }} - Python Version ${{ matrix.pythonVersion }}
uses: "./.github/actions/step_create_python_environment"
with:
pythonVersion: ${{ matrix.pythonVersion }}
- name: Download Artifacts
uses: actions/download-artifact@v3
with:
name: wheel
path: artifacts
- name: install recording
run: |
pip install vcrpy
pip install -e .
working-directory: ${{ env.RECORD_DIRECTORY }}
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Generate Configs
uses: "./.github/actions/step_generate_configs"
with:
targetFolder: ${{ env.testWorkingDirectory }}
- name: Install pf
shell: pwsh
working-directory: artifacts
run: |
pip install -r ${{ github.workspace }}/src/promptflow/dev_requirements.txt
pip uninstall -y promptflow-core promptflow-devkit promptflow-tracing
pip install ${{ github.workspace }}/src/promptflow-tracing
pip install ${{ github.workspace }}/src/promptflow-core
pip install ${{ github.workspace }}/src/promptflow-devkit[pyarrow]
pip install ${{ github.workspace }}/src/promptflow-azure
gci ./promptflow -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)[azure,executor-service]"}}
gci ./promptflow-tools -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)"}}
pip freeze
- name: Run Executor Unit Test
shell: pwsh
working-directory: ${{ github.workspace }}
run: |
pip install langchain
pip install numexpr
python scripts/building/run_coverage_tests.py `
-p ${{ github.workspace }}/src/promptflow/promptflow `
-t ${{ github.workspace }}/src/promptflow/tests/executor/unittests `
-l eastus `
-m "all" `
-o "${{ github.workspace }}/test-results-executor-unit.xml"
- name: Run Executor E2E Test
shell: pwsh
working-directory: ${{ github.workspace }}
run: |
pip install langchain langchain_community
pip install numexpr
python scripts/building/run_coverage_tests.py `
-p ${{ github.workspace }}/src/promptflow/promptflow `
-t ${{ github.workspace }}/src/promptflow/tests/executor/e2etests `
-l eastus `
-m "all" `
-o "${{ github.workspace }}/test-results-executor-e2e.xml"
- name: Upload pytest test results (Python ${{ matrix.pythonVersion }}) (OS ${{ matrix.os }})
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: promptflow_executor_tests Test Results (Python ${{ matrix.pythonVersion }}) (OS ${{ matrix.os }})
path: ${{ github.workspace }}/*.xml
publish-test-results:
name: "Publish Tests Results"
needs: [ promptflow_devkit_tests, promptflow_azure_tests, promptflow_executor_tests, promptflow_core_tests, promptflow_core_azureml_serving_tests ]
runs-on: ubuntu-latest
permissions:
checks: write
pull-requests: write
contents: read
issues: read
if: always()
steps:
- name: Download Artifacts
uses: actions/download-artifact@v3
with:
path: artifacts
- name: Publish Test Results
uses: EnricoMi/publish-unit-test-result-action@v2
with:
files: "artifacts/**/test-*.xml"
@@ -0,0 +1,124 @@
name: promptflow-sdk-cli-test
on:
schedule:
- cron: "40 18 * * *" # Every day starting at 2:40 BJT
pull_request:
paths:
- src/promptflow-core/**
- src/promptflow-devkit/**
- src/promptflow/**
- src/promptflow-tracing/**
- scripts/building/**
- .github/workflows/promptflow-sdk-cli-test.yml
- src/promptflow-recording/**
workflow_dispatch:
inputs:
filepath:
description: file or paths you want to trigger a test
required: true
default: "./tests/sdk_cli_test ./tests/sdk_pfs_test"
type: string
permissions:
id-token: write
contents: read
env:
IS_IN_CI_PIPELINE: "true"
PF_DISABLE_TRACING: "false"
RECORD_DIRECTORY: ${{ github.workspace }}/src/promptflow-recording
TRACING_DIRECTORY: ${{ github.workspace }}/src/promptflow-tracing
CORE_DIRECTORY: ${{ github.workspace }}/src/promptflow-core
WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-devkit
PROMPTFLOW_DIRECTORY: ${{ github.workspace }}/src/promptflow
TOOL_DIRECTORY: ${{ github.workspace }}/src/promptflow-tools
jobs:
sdk_cli_tests:
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest]
pythonVersion: ['3.9', '3.10', '3.11']
environment:
internal
runs-on: ${{ matrix.os }}
steps:
- name: set test mode
run: |
echo "PROMPT_FLOW_TEST_MODE=$(if [[ "${{ github.event_name }}" == "pull_request" ]]; then echo replay; else echo live; fi)" >> $GITHUB_ENV
echo "FILE_PATHS=$(if [[ "${{ inputs.filepath }}" == "" ]]; then echo "./tests/sdk_cli_test ./tests/sdk_pfs_test"; else echo ${{ inputs.filepath }}; fi)" >> $GITHUB_ENV
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.pythonVersion }}
- uses: snok/install-poetry@v1
- name: install test dependency group
run: |
set -xe
poetry install -E pyarrow --with ci,test
poetry run pip show promptflow-tracing
poetry run pip show promptflow-core
poetry run pip show promptflow-devkit
poetry run pip show promptflow-tools
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: Azure login (non pull_request workflow)
if: github.event_name != 'pull_request'
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: generate live test resources (non pull_request workflow)
if: github.event_name != 'pull_request'
uses: "./.github/actions/step_generate_configs"
with:
targetFolder: ${{ env.PROMPTFLOW_DIRECTORY }}
- name: generate live test resources (pull_request workflow)
if: github.event_name == 'pull_request'
working-directory: ${{ env.PROMPTFLOW_DIRECTORY }}
run: |
cp ${{ github.workspace }}/src/promptflow/dev-connections.json.example ${{ github.workspace }}/src/promptflow/connections.json
- name: run devkit tests
run: |
poetry run pytest ${{ env.FILE_PATHS }} --cov=promptflow --cov-config=pyproject.toml \
--cov-report=term --cov-report=html --cov-report=xml -n auto -m "(unittest or e2etest) and not csharp" \
--ignore-glob ./tests/sdk_cli_test/e2etests/test_executable.py --tb=short
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: Upload Test Results
if: always()
uses: actions/upload-artifact@v3
with:
name: Test Results (Python ${{ matrix.pythonVersion }}) (OS ${{ matrix.os }})
path: |
${{ env.WORKING_DIRECTORY }}/*.xml
${{ env.WORKING_DIRECTORY }}/htmlcov/
${{ env.WORKING_DIRECTORY }}/tests/sdk_cli_test/count.json
- run: poetry install -E executable
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: run devkit executable tests
run: |
poetry run pytest -n auto -m "unittest or e2etest" ./tests/sdk_cli_test/e2etests/test_executable.py --tb=short
working-directory: ${{ env.WORKING_DIRECTORY }}
publish-test-results-sdk-cli-test:
needs: sdk_cli_tests
runs-on: ubuntu-latest
permissions:
checks: write
pull-requests: write
contents: read
issues: read
if: always()
steps:
- name: checkout
uses: actions/checkout@v4
- name: Publish Test Results
uses: "./.github/actions/step_publish_test_results"
with:
testActionFileName: promptflow-sdk-cli-test.yml
testResultTitle: SDK CLI Test Result
osVersion: ubuntu-latest
pythonVersion: 3.9
coverageThreshold: 40
context: test/sdk_cli
@@ -0,0 +1,109 @@
name: promptflow-tracing-e2e-test
on:
schedule:
- cron: "40 18 * * *" # 2:40 Beijing Time (GMT+8) every day
pull_request:
paths:
- src/promptflow-tracing/**
- .github/workflows/promptflow-tracing-e2e-test.yml
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
PF_DISABLE_TRACING: "false"
WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-tracing
RECORD_DIRECTORY: ${{ github.workspace }}/src/promptflow-recording
permissions:
id-token: write
contents: read
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: snok/install-poetry@v1
- name: build
run: poetry build
working-directory: ${{ env.WORKING_DIRECTORY }}
- uses: actions/upload-artifact@v4
with:
name: promptflow-tracing
path: ${{ env.WORKING_DIRECTORY }}/dist/promptflow_tracing-*.whl
tracing-e2e-test:
needs: build
strategy:
matrix:
os: [ubuntu-latest, windows-latest, macos-13]
python-version: ['3.9', '3.10', '3.11']
fail-fast: false
# snok/install-poetry need this to support Windows
defaults:
run:
shell: bash
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- name: set test mode
run: echo "PROMPT_FLOW_TEST_MODE=$(if [[ "${{ github.event_name }}" == "pull_request" ]]; then echo replay; else echo live; fi)" >> $GITHUB_ENV
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- uses: snok/install-poetry@v1
- uses: actions/download-artifact@v4
with:
name: promptflow-tracing
path: ${{ env.WORKING_DIRECTORY }}
- name: install promptflow-tracing from wheel
# wildcard expansion (*) does not work in Windows, so leverage python to find and install
run: poetry run pip install $(python -c "import glob; print(glob.glob('promptflow_tracing-*.whl')[0])")
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install test dependency group
run: poetry install --only test
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install recording
run: poetry install
working-directory: ${{ env.RECORD_DIRECTORY }}
- name: generate end-to-end test config from secret
run: echo '${{ secrets.PF_TRACING_E2E_TEST_CONFIG }}' >> connections.json
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: run e2e tests
run: poetry run pytest -m e2etest --cov=promptflow --cov-config=pyproject.toml --cov-report=term --cov-report=html --cov-report=xml --tb=short
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: upload coverage report
uses: actions/upload-artifact@v4
with:
name: report-${{ matrix.os }}-py${{ matrix.python-version }}
path: |
${{ env.WORKING_DIRECTORY }}/*.xml
${{ env.WORKING_DIRECTORY }}/htmlcov/
report:
needs: tracing-e2e-test
runs-on: ubuntu-latest
permissions:
checks: write
pull-requests: write
contents: read
issues: read
steps:
- uses: actions/download-artifact@v4
with:
path: artifacts
- uses: EnricoMi/publish-unit-test-result-action@v2
with:
check_name: promptflow-tracing test result
comment_title: promptflow-tracing test result
files: "artifacts/**/test-results.xml" # align with `--junit-xml` in pyproject.toml
- uses: irongut/CodeCoverageSummary@v1.3.0
with:
filename: "artifacts/report-ubuntu-latest-py3.9/coverage.xml"
badge: true
fail_below_min: true
format: markdown
hide_complexity: true
output: both
thresholds: 40 80
@@ -0,0 +1,100 @@
name: promptflow-tracing-unit-test
on:
schedule:
- cron: "40 18 * * *" # 2:40 Beijing Time (GMT+8) every day
pull_request:
paths:
- src/promptflow-tracing/**
- .github/workflows/promptflow-tracing-unit-test.yml
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
PF_DISABLE_TRACING: "false"
WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-tracing
RECORD_DIRECTORY: ${{ github.workspace }}/src/promptflow-recording
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: snok/install-poetry@v1
- name: build
run: poetry build
working-directory: ${{ env.WORKING_DIRECTORY }}
- uses: actions/upload-artifact@v4
with:
name: promptflow-tracing
path: ${{ env.WORKING_DIRECTORY }}/dist/promptflow_tracing-*.whl
tracing-unit-test:
needs: build
strategy:
matrix:
os: [ubuntu-latest, windows-latest, macos-13]
python-version: ['3.9', '3.10', '3.11']
fail-fast: false
# snok/install-poetry need this to support Windows
defaults:
run:
shell: bash
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- uses: snok/install-poetry@v1
- uses: actions/download-artifact@v4
with:
name: promptflow-tracing
path: ${{ env.WORKING_DIRECTORY }}
- name: install promptflow-tracing from wheel
# wildcard expansion (*) does not work in Windows, so leverage python to find and install
run: poetry run pip install $(python -c "import glob; print(glob.glob('promptflow_tracing-*.whl')[0])")
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install test dependency group
run: poetry install --only test
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: install recording
run: poetry install
working-directory: ${{ env.RECORD_DIRECTORY }}
- name: run unit tests
run: poetry run pytest -m unittest --cov=promptflow --cov-config=pyproject.toml --cov-report=term --cov-report=html --cov-report=xml --tb=short
working-directory: ${{ env.WORKING_DIRECTORY }}
- name: upload coverage report
uses: actions/upload-artifact@v4
with:
name: report-${{ matrix.os }}-py${{ matrix.python-version }}
path: |
${{ env.WORKING_DIRECTORY }}/*.xml
${{ env.WORKING_DIRECTORY }}/htmlcov/
report:
needs: tracing-unit-test
runs-on: ubuntu-latest
permissions:
checks: write
pull-requests: write
contents: read
issues: read
steps:
- uses: actions/download-artifact@v4
with:
path: artifacts
- uses: EnricoMi/publish-unit-test-result-action@v2
with:
check_name: promptflow-tracing test result
comment_title: promptflow-tracing test result
files: "artifacts/**/test-results.xml" # align with `--junit-xml` in pyproject.toml
- uses: irongut/CodeCoverageSummary@v1.3.0
with:
filename: "artifacts/report-ubuntu-latest-py3.9/coverage.xml"
badge: true
fail_below_min: true
format: markdown
hide_complexity: true
output: both
thresholds: 40 60
+87
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@@ -0,0 +1,87 @@
name: Publish Promptflow Doc
on:
workflow_dispatch:
push:
branches:
- main
- preview/docs
paths:
- 'README.md'
- 'docs/**'
- 'examples/**.ipynb'
- 'scripts/docs/**'
- '.github/workflows/publish_doc.yml'
- 'src/promptflow-tracing/promptflow/**'
- 'src/promptflow-core/promptflow/**'
- 'src/promptflow-devkit/promptflow/**'
- 'src/promptflow-azure/promptflow/**'
- 'src/promptflow-rag/promptflow/**'
- 'src/promptflow-evals/promptflow/**'
# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
permissions:
contents: read
# Allow one concurrent deployment
concurrency:
group: "pages"
cancel-in-progress: true
env:
packageSetupType: promptflow_with_extra
testWorkingDirectory: ${{ github.workspace }}/src/promptflow
jobs:
build:
runs-on: windows-latest
name: Build
steps:
- name: Checkout Repo
uses: actions/checkout@v4
with:
submodules: true
- name: Python Setup
uses: "./.github/actions/step_create_python_environment"
- name: Install packages
shell: pwsh
# Note: Use -e to avoid duplicate object warning when build apidoc.
run: |
pip uninstall -y promptflow-tracing promptflow-core promptflow-devkit promptflow-azure promptflow-rag promptflow-evals
pip install -e ${{ github.workspace }}/src/promptflow-tracing
pip install -e ${{ github.workspace }}/src/promptflow-core
pip install -e ${{ github.workspace }}/src/promptflow-devkit
pip install -e ${{ github.workspace }}/src/promptflow-azure
pip install -e ${{ github.workspace }}/src/promptflow-rag
pip install -e ${{ github.workspace }}/src/promptflow-evals
pip freeze
- name: Build Doc
shell: powershell
working-directory: scripts/docs/
run: |-
pip install langchain
./doc_generation.ps1 -WithReferenceDoc:$true
- name: Upload artifact
uses: actions/upload-pages-artifact@v4
with:
# Upload entire repository
path: scripts/docs/_build
deploy:
runs-on: ubuntu-latest
name: Deploy
needs: build
permissions:
pages: write
id-token: write
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
steps:
- name: Deploy to GitHub Pages
id: deployment
uses: actions/deploy-pages@v4
+32
View File
@@ -0,0 +1,32 @@
name: Pylint
on:
pull_request:
paths:
- src/promptflow-evals/**
jobs:
run_pylint:
runs-on: ubuntu-latest
steps:
- name: checkout code
uses: actions/checkout@v2
- name: setup python
uses: actions/setup-python@v2
with:
python-version: 3.9
- uses: snok/install-poetry@v1
- name: install pylint and azure-pylint-guidelines-checker
working-directory: ${{ env.WORKING_DIRECTORY }}
run: |
set -xe
poetry install -C src/promptflow-evals --with dev
poetry show -C src/promptflow-evals
- name: run pylint
working-directory: ${{ env.WORKING_DIRECTORY }}
run: |
cd src/promptflow-evals
poetry run pylint promptflow/evals --rcfile=../../pylintrc
@@ -0,0 +1,78 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_configuration
on:
schedule:
- cron: "40 22 * * *" # Every day starting at 6:40 BJT
pull_request:
branches: [ main ]
paths: [ examples/configuration.ipynb, .github/workflows/samples_configuration.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_configuration:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Generate config.json for canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
run: echo '${{ 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: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples
run: |
papermill -k python configuration.ipynb configuration.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples
+123
View File
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_connections
on:
schedule:
- cron: "40 20 * * *" # Every day starting at 4:40 BJT
pull_request:
branches: [ main ]
paths: [ examples/connections/**, examples/*requirements.txt, .github/workflows/samples_connections.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_connections:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/connections
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/connections
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/connections/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/connections/README.md -o examples/connections
- name: Cat script
working-directory: examples/connections
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/connections
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/connections
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/connections
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/connections/bash_script.sh
@@ -0,0 +1,88 @@
# 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.
name: samples_connections_connection
on:
schedule:
- cron: "13 22 * * *" # Every day starting at 6:13 BJT
pull_request:
branches: [ main ]
paths: [ examples/connections/**, examples/*requirements.txt, .github/workflows/samples_connections_connection.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_connections_connection:
runs-on: ubuntu-latest
environment:
internal
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: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: setup .env file
working-directory: examples/connections
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/connections
run: |
papermill -k python connection.ipynb connection.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/connections
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flex_flows_basic
on:
schedule:
- cron: "30 20 * * *" # Every day starting at 4:30 BJT
pull_request:
branches: [ main ]
paths: [ examples/flex-flows/basic/**, examples/*requirements.txt, .github/workflows/samples_flex_flows_basic.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flex_flows_basic:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flex-flows/basic
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flex-flows/basic
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flex-flows/basic/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flex-flows/basic/README.md -o examples/flex-flows/basic
- name: Cat script
working-directory: examples/flex-flows/basic
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flex-flows/basic
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flex-flows/basic
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flex-flows/basic
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flex-flows/basic/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flex_flows_chat_async_stream
on:
schedule:
- cron: "59 20 * * *" # Every day starting at 4:59 BJT
pull_request:
branches: [ main ]
paths: [ examples/flex-flows/chat-async-stream/**, examples/*requirements.txt, .github/workflows/samples_flex_flows_chat_async_stream.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flex_flows_chat_async_stream:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flex-flows/chat-async-stream
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flex-flows/chat-async-stream
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flex-flows/chat-async-stream/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flex-flows/chat-async-stream/README.md -o examples/flex-flows/chat-async-stream
- name: Cat script
working-directory: examples/flex-flows/chat-async-stream
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flex-flows/chat-async-stream
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flex-flows/chat-async-stream
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flex-flows/chat-async-stream
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flex-flows/chat-async-stream/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flex_flows_chat_basic
on:
schedule:
- cron: "9 20 * * *" # Every day starting at 4:9 BJT
pull_request:
branches: [ main ]
paths: [ examples/flex-flows/chat-basic/**, examples/*requirements.txt, .github/workflows/samples_flex_flows_chat_basic.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flex_flows_chat_basic:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flex-flows/chat-basic
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flex-flows/chat-basic
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flex-flows/chat-basic/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flex-flows/chat-basic/README.md -o examples/flex-flows/chat-basic
- name: Cat script
working-directory: examples/flex-flows/chat-basic
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flex-flows/chat-basic
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flex-flows/chat-basic
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flex-flows/chat-basic
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flex-flows/chat-basic/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flex_flows_chat_minimal
on:
schedule:
- cron: "29 22 * * *" # Every day starting at 6:29 BJT
pull_request:
branches: [ main ]
paths: [ examples/flex-flows/chat-minimal/**, examples/*requirements.txt, .github/workflows/samples_flex_flows_chat_minimal.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flex_flows_chat_minimal:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flex-flows/chat-minimal
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flex-flows/chat-minimal
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flex-flows/chat-minimal/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flex-flows/chat-minimal/README.md -o examples/flex-flows/chat-minimal
- name: Cat script
working-directory: examples/flex-flows/chat-minimal
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flex-flows/chat-minimal
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flex-flows/chat-minimal
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flex-flows/chat-minimal
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flex-flows/chat-minimal/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flex_flows_chat_stream
on:
schedule:
- cron: "7 19 * * *" # Every day starting at 3:7 BJT
pull_request:
branches: [ main ]
paths: [ examples/flex-flows/chat-stream/**, examples/*requirements.txt, .github/workflows/samples_flex_flows_chat_stream.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flex_flows_chat_stream:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flex-flows/chat-stream
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flex-flows/chat-stream
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flex-flows/chat-stream/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flex-flows/chat-stream/README.md -o examples/flex-flows/chat-stream
- name: Cat script
working-directory: examples/flex-flows/chat-stream
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flex-flows/chat-stream
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flex-flows/chat-stream
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flex-flows/chat-stream
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flex-flows/chat-stream/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flex_flows_chat_with_functions
on:
schedule:
- cron: "51 21 * * *" # Every day starting at 5:51 BJT
pull_request:
branches: [ main ]
paths: [ examples/flex-flows/chat-with-functions/**, examples/*requirements.txt, .github/workflows/samples_flex_flows_chat_with_functions.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flex_flows_chat_with_functions:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flex-flows/chat-with-functions
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flex-flows/chat-with-functions
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flex-flows/chat-with-functions/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flex-flows/chat-with-functions/README.md -o examples/flex-flows/chat-with-functions
- name: Cat script
working-directory: examples/flex-flows/chat-with-functions
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flex-flows/chat-with-functions
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flex-flows/chat-with-functions
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flex-flows/chat-with-functions
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flex-flows/chat-with-functions/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flex_flows_eval_checklist
on:
schedule:
- cron: "56 22 * * *" # Every day starting at 6:56 BJT
pull_request:
branches: [ main ]
paths: [ examples/flex-flows/eval-checklist/**, examples/*requirements.txt, .github/workflows/samples_flex_flows_eval_checklist.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flex_flows_eval_checklist:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flex-flows/eval-checklist
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flex-flows/eval-checklist
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flex-flows/eval-checklist/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flex-flows/eval-checklist/README.md -o examples/flex-flows/eval-checklist
- name: Cat script
working-directory: examples/flex-flows/eval-checklist
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flex-flows/eval-checklist
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flex-flows/eval-checklist
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flex-flows/eval-checklist
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flex-flows/eval-checklist/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flex_flows_eval_code_quality
on:
schedule:
- cron: "6 22 * * *" # Every day starting at 6:6 BJT
pull_request:
branches: [ main ]
paths: [ examples/flex-flows/eval-code-quality/**, examples/*requirements.txt, .github/workflows/samples_flex_flows_eval_code_quality.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flex_flows_eval_code_quality:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flex-flows/eval-code-quality
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flex-flows/eval-code-quality
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flex-flows/eval-code-quality/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flex-flows/eval-code-quality/README.md -o examples/flex-flows/eval-code-quality
- name: Cat script
working-directory: examples/flex-flows/eval-code-quality
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flex-flows/eval-code-quality
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flex-flows/eval-code-quality
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flex-flows/eval-code-quality
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flex-flows/eval-code-quality/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flex_flows_eval_criteria_with_langchain
on:
schedule:
- cron: "21 20 * * *" # Every day starting at 4:21 BJT
pull_request:
branches: [ main ]
paths: [ examples/flex-flows/eval-criteria-with-langchain/**, examples/*requirements.txt, .github/workflows/samples_flex_flows_eval_criteria_with_langchain.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flex_flows_eval_criteria_with_langchain:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flex-flows/eval-criteria-with-langchain
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flex-flows/eval-criteria-with-langchain
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flex-flows/eval-criteria-with-langchain/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flex-flows/eval-criteria-with-langchain/README.md -o examples/flex-flows/eval-criteria-with-langchain
- name: Cat script
working-directory: examples/flex-flows/eval-criteria-with-langchain
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flex-flows/eval-criteria-with-langchain
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flex-flows/eval-criteria-with-langchain
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flex-flows/eval-criteria-with-langchain
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flex-flows/eval-criteria-with-langchain/bash_script.sh
@@ -0,0 +1,88 @@
# 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.
name: samples_flexflows_basic_flexflowquickstart
on:
schedule:
- cron: "55 20 * * *" # Every day starting at 4:55 BJT
pull_request:
branches: [ main ]
paths: [ examples/flex-flows/basic/**, examples/*requirements.txt, .github/workflows/samples_flexflows_basic_flexflowquickstart.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flexflows_basic_flexflowquickstart:
runs-on: ubuntu-latest
environment:
internal
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: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: setup .env file
working-directory: examples/flex-flows/basic
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/flex-flows/basic
run: |
papermill -k python flex-flow-quickstart.ipynb flex-flow-quickstart.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/flex-flows/basic
@@ -0,0 +1,78 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flexflows_basic_flexflowquickstartazure
on:
schedule:
- cron: "10 22 * * *" # Every day starting at 6:10 BJT
pull_request:
branches: [ main ]
paths: [ examples/flex-flows/basic/**, examples/*requirements.txt, .github/workflows/samples_flexflows_basic_flexflowquickstartazure.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flexflows_basic_flexflowquickstartazure:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Generate config.json for canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
run: echo '${{ 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: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/flex-flows/basic
run: |
papermill -k python flex-flow-quickstart-azure.ipynb flex-flow-quickstart-azure.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/flex-flows/basic
@@ -0,0 +1,88 @@
# 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.
name: samples_flexflows_chatasyncstream_chatstreamwithasyncflexflow
on:
schedule:
- cron: "11 20 * * *" # Every day starting at 4:11 BJT
pull_request:
branches: [ main ]
paths: [ examples/flex-flows/chat-async-stream/**, examples/*requirements.txt, .github/workflows/samples_flexflows_chatasyncstream_chatstreamwithasyncflexflow.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flexflows_chatasyncstream_chatstreamwithasyncflexflow:
runs-on: ubuntu-latest
environment:
internal
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: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: setup .env file
working-directory: examples/flex-flows/chat-async-stream
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/flex-flows/chat-async-stream
run: |
papermill -k python chat-stream-with-async-flex-flow.ipynb chat-stream-with-async-flex-flow.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/flex-flows/chat-async-stream
@@ -0,0 +1,88 @@
# 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.
name: samples_flexflows_chatbasic_chatwithclassbasedflow
on:
schedule:
- cron: "32 22 * * *" # Every day starting at 6:32 BJT
pull_request:
branches: [ main ]
paths: [ examples/flex-flows/chat-basic/**, examples/*requirements.txt, .github/workflows/samples_flexflows_chatbasic_chatwithclassbasedflow.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flexflows_chatbasic_chatwithclassbasedflow:
runs-on: ubuntu-latest
environment:
internal
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: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: setup .env file
working-directory: examples/flex-flows/chat-basic
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/flex-flows/chat-basic
run: |
papermill -k python chat-with-class-based-flow.ipynb chat-with-class-based-flow.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/flex-flows/chat-basic
@@ -0,0 +1,78 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flexflows_chatbasic_chatwithclassbasedflowazure
on:
schedule:
- cron: "46 20 * * *" # Every day starting at 4:46 BJT
pull_request:
branches: [ main ]
paths: [ examples/flex-flows/chat-basic/**, examples/*requirements.txt, .github/workflows/samples_flexflows_chatbasic_chatwithclassbasedflowazure.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flexflows_chatbasic_chatwithclassbasedflowazure:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Generate config.json for canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
run: echo '${{ 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: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/flex-flows/chat-basic
run: |
papermill -k python chat-with-class-based-flow-azure.ipynb chat-with-class-based-flow-azure.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/flex-flows/chat-basic
@@ -0,0 +1,88 @@
# 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.
name: samples_flexflows_chatstream_chatstreamwithflexflow
on:
schedule:
- cron: "28 21 * * *" # Every day starting at 5:28 BJT
pull_request:
branches: [ main ]
paths: [ examples/flex-flows/chat-stream/**, examples/*requirements.txt, .github/workflows/samples_flexflows_chatstream_chatstreamwithflexflow.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flexflows_chatstream_chatstreamwithflexflow:
runs-on: ubuntu-latest
environment:
internal
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: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: setup .env file
working-directory: examples/flex-flows/chat-stream
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/flex-flows/chat-stream
run: |
papermill -k python chat-stream-with-flex-flow.ipynb chat-stream-with-flex-flow.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/flex-flows/chat-stream
@@ -0,0 +1,88 @@
# 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.
name: samples_flexflows_evalcriteriawithlangchain_langchaineval
on:
schedule:
- cron: "42 20 * * *" # Every day starting at 4:42 BJT
pull_request:
branches: [ main ]
paths: [ examples/flex-flows/eval-criteria-with-langchain/**, examples/*requirements.txt, .github/workflows/samples_flexflows_evalcriteriawithlangchain_langchaineval.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flexflows_evalcriteriawithlangchain_langchaineval:
runs-on: ubuntu-latest
environment:
internal
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: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: setup .env file
working-directory: examples/flex-flows/eval-criteria-with-langchain
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/flex-flows/eval-criteria-with-langchain
run: |
papermill -k python langchain-eval.ipynb langchain-eval.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/flex-flows/eval-criteria-with-langchain
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_chat_chat_basic
on:
schedule:
- cron: "55 20 * * *" # Every day starting at 4:55 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/chat/chat-basic/**, examples/*requirements.txt, .github/workflows/samples_flows_chat_chat_basic.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_chat_chat_basic:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/chat/chat-basic
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/chat/chat-basic
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/chat/chat-basic/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/chat/chat-basic/README.md -o examples/flows/chat/chat-basic
- name: Cat script
working-directory: examples/flows/chat/chat-basic
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/chat/chat-basic
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/chat/chat-basic
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/chat/chat-basic
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/chat/chat-basic/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_chat_chat_math_variant
on:
schedule:
- cron: "35 20 * * *" # Every day starting at 4:35 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/chat/chat-math-variant/**, examples/*requirements.txt, .github/workflows/samples_flows_chat_chat_math_variant.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_chat_chat_math_variant:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/chat/chat-math-variant
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/chat/chat-math-variant
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/chat/chat-math-variant/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/chat/chat-math-variant/README.md -o examples/flows/chat/chat-math-variant
- name: Cat script
working-directory: examples/flows/chat/chat-math-variant
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/chat/chat-math-variant
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/chat/chat-math-variant
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/chat/chat-math-variant
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/chat/chat-math-variant/bash_script.sh
@@ -0,0 +1,121 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_chat_chat_with_image
on:
schedule:
- cron: "16 19 * * *" # Every day starting at 3:16 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/chat/chat-with-image/**, examples/*requirements.txt, .github/workflows/samples_flows_chat_chat_with_image.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_chat_chat_with_image:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/chat/chat-with-image
run: |
AOAI_API_KEY=${{ secrets.AOAI_GPT_4V_KEY }}
AOAI_API_ENDPOINT=${{ secrets.AOAI_GPT_4V_ENDPOINT }}
AOAI_API_ENDPOINT=$(echo ${AOAI_API_ENDPOINT//\//\\/})
cp ../../../connections/azure_openai.yml ./azure_openai.yml
sed -i -e "s/<user-input>/$AOAI_API_KEY/g" -e "s/aoai-api-endpoint/$AOAI_API_ENDPOINT/g" azure_openai.yml
- name: Create AOAI Connection from ENV file
working-directory: examples/flows/chat/chat-with-image
run: |
if [[ -e .env ]]; then
pf connection create --file .env --name aoai_gpt4v_connection
fi
if [[ -e azure_openai.yml ]]; then
pf connection create --file azure_openai.yml --name aoai_gpt4v_connection
fi
pf connection list
- name: Create run.yml
working-directory: examples/flows/chat/chat-with-image
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/chat/chat-with-image/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/chat/chat-with-image/README.md -o examples/flows/chat/chat-with-image
- name: Cat script
working-directory: examples/flows/chat/chat-with-image
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/chat/chat-with-image
run: |
export aoai_api_key=${{secrets.AOAI_GPT_4V_KEY }}
export aoai_api_endpoint=${{ secrets.AOAI_GPT_4V_ENDPOINT }}
export test_workspace_sub_id=${{ 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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/chat/chat-with-image
run: |
export aoai_api_key=${{secrets.AOAI_GPT_4V_KEY }}
export aoai_api_endpoint=${{ secrets.AOAI_GPT_4V_ENDPOINT }}
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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/chat/chat-with-image
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/chat/chat-with-image/bash_script.sh
@@ -0,0 +1,133 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_chat_chat_with_pdf
on:
schedule:
- cron: "4 22 * * *" # Every day starting at 6:4 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/chat/chat-with-pdf/**, examples/*requirements.txt, .github/workflows/samples_flows_chat_chat_with_pdf.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_chat_chat_with_pdf:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/chat/chat-with-pdf
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create AOAI Connection from ENV file
working-directory: examples/flows/chat/chat-with-pdf
run: |
if [[ -e .env ]]; then
pf connection create --file .env --name chat_with_pdf_custom_connection
fi
if [[ -e azure_openai.yml ]]; then
pf connection create --file azure_openai.yml --name chat_with_pdf_custom_connection
fi
pf connection list
- name: Create run.yml
working-directory: examples/flows/chat/chat-with-pdf
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/chat/chat-with-pdf/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/chat/chat-with-pdf/README.md -o examples/flows/chat/chat-with-pdf
- name: Cat script
working-directory: examples/flows/chat/chat-with-pdf
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/chat/chat-with-pdf
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/chat/chat-with-pdf
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/chat/chat-with-pdf
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/chat/chat-with-pdf/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_chat_chat_with_wikipedia
on:
schedule:
- cron: "10 22 * * *" # Every day starting at 6:10 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/chat/chat-with-wikipedia/**, examples/*requirements.txt, .github/workflows/samples_flows_chat_chat_with_wikipedia.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_chat_chat_with_wikipedia:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/chat/chat-with-wikipedia
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/chat/chat-with-wikipedia
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/chat/chat-with-wikipedia/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/chat/chat-with-wikipedia/README.md -o examples/flows/chat/chat-with-wikipedia
- name: Cat script
working-directory: examples/flows/chat/chat-with-wikipedia
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/chat/chat-with-wikipedia
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/chat/chat-with-wikipedia
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/chat/chat-with-wikipedia
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/chat/chat-with-wikipedia/bash_script.sh
@@ -0,0 +1,103 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_chat_chatwithpdf_chatwithpdf
on:
schedule:
- cron: "12 21 * * *" # Every day starting at 5:12 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/chat/chat-with-pdf/**, examples/*requirements.txt, .github/workflows/samples_flows_chat_chatwithpdf_chatwithpdf.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_chat_chatwithpdf_chatwithpdf:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Generate config.json for canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
run: echo '${{ 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: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
pip freeze
pf --version
shell: bash -el {0}
- name: Prepare sample requirements
working-directory: examples/flows/chat/chat-with-pdf
run: |
pip install -r requirements.txt
- name: Create Chat With PDF Custom Connection
working-directory: examples/flows/chat/chat-with-pdf
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
pf connection create --file .env --name chat_with_pdf_custom_connection
fi
- name: Create AOAI Connection
working-directory: examples/connections
run: |
AOAI_API_KEY=${{ secrets.AOAI_API_KEY_TEST }}
AOAI_API_ENDPOINT=${{ secrets.AOAI_API_ENDPOINT_TEST }}
if [[ -e azure_openai.yml ]]; then
pf connection create --file azure_openai.yml --set api_key=$AOAI_API_KEY api_base=$AOAI_API_ENDPOINT
fi
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/flows/chat/chat-with-pdf
run: |
papermill -k python chat-with-pdf.ipynb chat-with-pdf.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/flows/chat/chat-with-pdf
@@ -0,0 +1,103 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_chat_chatwithpdf_chatwithpdfazure
on:
schedule:
- cron: "44 20 * * *" # Every day starting at 4:44 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/chat/chat-with-pdf/**, examples/*requirements.txt, .github/workflows/samples_flows_chat_chatwithpdf_chatwithpdfazure.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_chat_chatwithpdf_chatwithpdfazure:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Generate config.json for canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
run: echo '${{ 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: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
pip freeze
pf --version
shell: bash -el {0}
- name: Prepare sample requirements
working-directory: examples/flows/chat/chat-with-pdf
run: |
pip install -r requirements.txt
- name: Create Chat With PDF Custom Connection
working-directory: examples/flows/chat/chat-with-pdf
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
pf connection create --file .env --name chat_with_pdf_custom_connection
fi
- name: Create AOAI Connection
working-directory: examples/connections
run: |
AOAI_API_KEY=${{ secrets.AOAI_API_KEY_TEST }}
AOAI_API_ENDPOINT=${{ secrets.AOAI_API_ENDPOINT_TEST }}
if [[ -e azure_openai.yml ]]; then
pf connection create --file azure_openai.yml --set api_key=$AOAI_API_KEY api_base=$AOAI_API_ENDPOINT
fi
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/flows/chat/chat-with-pdf
run: |
papermill -k python chat-with-pdf-azure.ipynb chat-with-pdf-azure.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/flows/chat/chat-with-pdf
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_chat_use_functions_with_chat_models
on:
schedule:
- cron: "7 21 * * *" # Every day starting at 5:7 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/chat/use_functions_with_chat_models/**, examples/*requirements.txt, .github/workflows/samples_flows_chat_use_functions_with_chat_models.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_chat_use_functions_with_chat_models:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/chat/use_functions_with_chat_models
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/chat/use_functions_with_chat_models
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/chat/use_functions_with_chat_models/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/chat/use_functions_with_chat_models/README.md -o examples/flows/chat/use_functions_with_chat_models
- name: Cat script
working-directory: examples/flows/chat/use_functions_with_chat_models
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/chat/use_functions_with_chat_models
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/chat/use_functions_with_chat_models
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/chat/use_functions_with_chat_models
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/chat/use_functions_with_chat_models/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_evaluation_eval_basic
on:
schedule:
- cron: "2 19 * * *" # Every day starting at 3:2 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/evaluation/eval-basic/**, examples/*requirements.txt, .github/workflows/samples_flows_evaluation_eval_basic.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_evaluation_eval_basic:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/evaluation/eval-basic
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/evaluation/eval-basic
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/evaluation/eval-basic/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/evaluation/eval-basic/README.md -o examples/flows/evaluation/eval-basic
- name: Cat script
working-directory: examples/flows/evaluation/eval-basic
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/evaluation/eval-basic
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/evaluation/eval-basic
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/evaluation/eval-basic
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/evaluation/eval-basic/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_evaluation_eval_chat_math
on:
schedule:
- cron: "52 19 * * *" # Every day starting at 3:52 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/evaluation/eval-chat-math/**, examples/*requirements.txt, .github/workflows/samples_flows_evaluation_eval_chat_math.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_evaluation_eval_chat_math:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/evaluation/eval-chat-math
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/evaluation/eval-chat-math
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/evaluation/eval-chat-math/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/evaluation/eval-chat-math/README.md -o examples/flows/evaluation/eval-chat-math
- name: Cat script
working-directory: examples/flows/evaluation/eval-chat-math
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/evaluation/eval-chat-math
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/evaluation/eval-chat-math
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/evaluation/eval-chat-math
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/evaluation/eval-chat-math/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_evaluation_eval_classification_accuracy
on:
schedule:
- cron: "39 22 * * *" # Every day starting at 6:39 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/evaluation/eval-classification-accuracy/**, examples/*requirements.txt, .github/workflows/samples_flows_evaluation_eval_classification_accuracy.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_evaluation_eval_classification_accuracy:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/evaluation/eval-classification-accuracy
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/evaluation/eval-classification-accuracy
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/evaluation/eval-classification-accuracy/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/evaluation/eval-classification-accuracy/README.md -o examples/flows/evaluation/eval-classification-accuracy
- name: Cat script
working-directory: examples/flows/evaluation/eval-classification-accuracy
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/evaluation/eval-classification-accuracy
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/evaluation/eval-classification-accuracy
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/evaluation/eval-classification-accuracy
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/evaluation/eval-classification-accuracy/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_evaluation_eval_entity_match_rate
on:
schedule:
- cron: "10 22 * * *" # Every day starting at 6:10 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/evaluation/eval-entity-match-rate/**, examples/*requirements.txt, .github/workflows/samples_flows_evaluation_eval_entity_match_rate.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_evaluation_eval_entity_match_rate:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/evaluation/eval-entity-match-rate
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/evaluation/eval-entity-match-rate
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/evaluation/eval-entity-match-rate/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/evaluation/eval-entity-match-rate/README.md -o examples/flows/evaluation/eval-entity-match-rate
- name: Cat script
working-directory: examples/flows/evaluation/eval-entity-match-rate
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/evaluation/eval-entity-match-rate
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/evaluation/eval-entity-match-rate
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/evaluation/eval-entity-match-rate
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/evaluation/eval-entity-match-rate/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_evaluation_eval_groundedness
on:
schedule:
- cron: "48 22 * * *" # Every day starting at 6:48 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/evaluation/eval-groundedness/**, examples/*requirements.txt, .github/workflows/samples_flows_evaluation_eval_groundedness.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_evaluation_eval_groundedness:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/evaluation/eval-groundedness
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/evaluation/eval-groundedness
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/evaluation/eval-groundedness/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/evaluation/eval-groundedness/README.md -o examples/flows/evaluation/eval-groundedness
- name: Cat script
working-directory: examples/flows/evaluation/eval-groundedness
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/evaluation/eval-groundedness
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/evaluation/eval-groundedness
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/evaluation/eval-groundedness
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/evaluation/eval-groundedness/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_evaluation_eval_multi_turn_metrics
on:
schedule:
- cron: "7 21 * * *" # Every day starting at 5:7 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/evaluation/eval-multi-turn-metrics/**, examples/*requirements.txt, .github/workflows/samples_flows_evaluation_eval_multi_turn_metrics.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_evaluation_eval_multi_turn_metrics:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/evaluation/eval-multi-turn-metrics
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/evaluation/eval-multi-turn-metrics
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/evaluation/eval-multi-turn-metrics/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/evaluation/eval-multi-turn-metrics/README.md -o examples/flows/evaluation/eval-multi-turn-metrics
- name: Cat script
working-directory: examples/flows/evaluation/eval-multi-turn-metrics
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/evaluation/eval-multi-turn-metrics
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/evaluation/eval-multi-turn-metrics
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/evaluation/eval-multi-turn-metrics
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/evaluation/eval-multi-turn-metrics/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_evaluation_eval_perceived_intelligence
on:
schedule:
- cron: "41 21 * * *" # Every day starting at 5:41 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/evaluation/eval-perceived-intelligence/**, examples/*requirements.txt, .github/workflows/samples_flows_evaluation_eval_perceived_intelligence.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_evaluation_eval_perceived_intelligence:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/evaluation/eval-perceived-intelligence
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/evaluation/eval-perceived-intelligence
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/evaluation/eval-perceived-intelligence/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/evaluation/eval-perceived-intelligence/README.md -o examples/flows/evaluation/eval-perceived-intelligence
- name: Cat script
working-directory: examples/flows/evaluation/eval-perceived-intelligence
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/evaluation/eval-perceived-intelligence
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/evaluation/eval-perceived-intelligence
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/evaluation/eval-perceived-intelligence
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/evaluation/eval-perceived-intelligence/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_evaluation_eval_qna_non_rag
on:
schedule:
- cron: "6 20 * * *" # Every day starting at 4:6 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/evaluation/eval-qna-non-rag/**, examples/*requirements.txt, .github/workflows/samples_flows_evaluation_eval_qna_non_rag.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_evaluation_eval_qna_non_rag:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/evaluation/eval-qna-non-rag
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/evaluation/eval-qna-non-rag
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/evaluation/eval-qna-non-rag/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/evaluation/eval-qna-non-rag/README.md -o examples/flows/evaluation/eval-qna-non-rag
- name: Cat script
working-directory: examples/flows/evaluation/eval-qna-non-rag
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/evaluation/eval-qna-non-rag
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/evaluation/eval-qna-non-rag
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/evaluation/eval-qna-non-rag
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/evaluation/eval-qna-non-rag/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_evaluation_eval_qna_rag_metrics
on:
schedule:
- cron: "55 19 * * *" # Every day starting at 3:55 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/evaluation/eval-qna-rag-metrics/**, examples/*requirements.txt, .github/workflows/samples_flows_evaluation_eval_qna_rag_metrics.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_evaluation_eval_qna_rag_metrics:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/evaluation/eval-qna-rag-metrics
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/evaluation/eval-qna-rag-metrics
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/evaluation/eval-qna-rag-metrics/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/evaluation/eval-qna-rag-metrics/README.md -o examples/flows/evaluation/eval-qna-rag-metrics
- name: Cat script
working-directory: examples/flows/evaluation/eval-qna-rag-metrics
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/evaluation/eval-qna-rag-metrics
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/evaluation/eval-qna-rag-metrics
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/evaluation/eval-qna-rag-metrics
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/evaluation/eval-qna-rag-metrics/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_evaluation_eval_single_turn_metrics
on:
schedule:
- cron: "32 19 * * *" # Every day starting at 3:32 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/evaluation/eval-single-turn-metrics/**, examples/*requirements.txt, .github/workflows/samples_flows_evaluation_eval_single_turn_metrics.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_evaluation_eval_single_turn_metrics:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/evaluation/eval-single-turn-metrics
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/evaluation/eval-single-turn-metrics
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/evaluation/eval-single-turn-metrics/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/evaluation/eval-single-turn-metrics/README.md -o examples/flows/evaluation/eval-single-turn-metrics
- name: Cat script
working-directory: examples/flows/evaluation/eval-single-turn-metrics
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/evaluation/eval-single-turn-metrics
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/evaluation/eval-single-turn-metrics
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/evaluation/eval-single-turn-metrics
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/evaluation/eval-single-turn-metrics/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_evaluation_eval_summarization
on:
schedule:
- cron: "57 19 * * *" # Every day starting at 3:57 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/evaluation/eval-summarization/**, examples/*requirements.txt, .github/workflows/samples_flows_evaluation_eval_summarization.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_evaluation_eval_summarization:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/evaluation/eval-summarization
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/evaluation/eval-summarization
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/evaluation/eval-summarization/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/evaluation/eval-summarization/README.md -o examples/flows/evaluation/eval-summarization
- name: Cat script
working-directory: examples/flows/evaluation/eval-summarization
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/evaluation/eval-summarization
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/evaluation/eval-summarization
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/evaluation/eval-summarization
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/evaluation/eval-summarization/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_standard_autonomous_agent
on:
schedule:
- cron: "11 20 * * *" # Every day starting at 4:11 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/standard/autonomous-agent/**, examples/*requirements.txt, .github/workflows/samples_flows_standard_autonomous_agent.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_standard_autonomous_agent:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/standard/autonomous-agent
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/standard/autonomous-agent
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/standard/autonomous-agent/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/standard/autonomous-agent/README.md -o examples/flows/standard/autonomous-agent
- name: Cat script
working-directory: examples/flows/standard/autonomous-agent
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/standard/autonomous-agent
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/standard/autonomous-agent
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/standard/autonomous-agent
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/standard/autonomous-agent/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_standard_basic
on:
schedule:
- cron: "41 21 * * *" # Every day starting at 5:41 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/standard/basic/**, examples/*requirements.txt, .github/workflows/samples_flows_standard_basic.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_standard_basic:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/standard/basic
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/standard/basic
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/standard/basic/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/standard/basic/README.md -o examples/flows/standard/basic
- name: Cat script
working-directory: examples/flows/standard/basic
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/standard/basic
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/standard/basic
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/standard/basic
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/standard/basic/bash_script.sh
@@ -0,0 +1,126 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_standard_basic_with_builtin_llm
on:
schedule:
- cron: "14 21 * * *" # Every day starting at 5:14 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/standard/basic-with-builtin-llm/**, examples/*requirements.txt, .github/workflows/samples_flows_standard_basic_with_builtin_llm.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_standard_basic_with_builtin_llm:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/standard/basic-with-builtin-llm
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/standard/basic-with-builtin-llm
run: |
gpt_base=${{ 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: Create AOAI Connection from YAML
working-directory: ${{ github.workspace }}
run: pf connection create --file examples/connections/azure_openai.yml --set api_key=${{ secrets.AOAI_API_KEY_TEST }} api_base=${{ secrets.AOAI_API_ENDPOINT_TEST }}
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/standard/basic-with-builtin-llm/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/standard/basic-with-builtin-llm/README.md -o examples/flows/standard/basic-with-builtin-llm
- name: Cat script
working-directory: examples/flows/standard/basic-with-builtin-llm
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/standard/basic-with-builtin-llm
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/standard/basic-with-builtin-llm
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/standard/basic-with-builtin-llm
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/standard/basic-with-builtin-llm/bash_script.sh
@@ -0,0 +1,126 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_standard_basic_with_connection
on:
schedule:
- cron: "11 20 * * *" # Every day starting at 4:11 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/standard/basic-with-connection/**, examples/*requirements.txt, .github/workflows/samples_flows_standard_basic_with_connection.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_standard_basic_with_connection:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/standard/basic-with-connection
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/standard/basic-with-connection
run: |
gpt_base=${{ 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: Create AOAI Connection from YAML
working-directory: ${{ github.workspace }}
run: pf connection create --file examples/connections/azure_openai.yml --set api_key=${{ secrets.AOAI_API_KEY_TEST }} api_base=${{ secrets.AOAI_API_ENDPOINT_TEST }}
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/standard/basic-with-connection/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/standard/basic-with-connection/README.md -o examples/flows/standard/basic-with-connection
- name: Cat script
working-directory: examples/flows/standard/basic-with-connection
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/standard/basic-with-connection
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/standard/basic-with-connection
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/standard/basic-with-connection
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/standard/basic-with-connection/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_standard_conditional_flow_for_if_else
on:
schedule:
- cron: "8 21 * * *" # Every day starting at 5:8 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/standard/conditional-flow-for-if-else/**, examples/*requirements.txt, .github/workflows/samples_flows_standard_conditional_flow_for_if_else.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_standard_conditional_flow_for_if_else:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/standard/conditional-flow-for-if-else
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/standard/conditional-flow-for-if-else
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/standard/conditional-flow-for-if-else/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/standard/conditional-flow-for-if-else/README.md -o examples/flows/standard/conditional-flow-for-if-else
- name: Cat script
working-directory: examples/flows/standard/conditional-flow-for-if-else
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/standard/conditional-flow-for-if-else
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/standard/conditional-flow-for-if-else
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/standard/conditional-flow-for-if-else
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/standard/conditional-flow-for-if-else/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_standard_conditional_flow_for_switch
on:
schedule:
- cron: "21 20 * * *" # Every day starting at 4:21 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/standard/conditional-flow-for-switch/**, examples/*requirements.txt, .github/workflows/samples_flows_standard_conditional_flow_for_switch.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_standard_conditional_flow_for_switch:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/standard/conditional-flow-for-switch
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/standard/conditional-flow-for-switch
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/standard/conditional-flow-for-switch/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/standard/conditional-flow-for-switch/README.md -o examples/flows/standard/conditional-flow-for-switch
- name: Cat script
working-directory: examples/flows/standard/conditional-flow-for-switch
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/standard/conditional-flow-for-switch
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/standard/conditional-flow-for-switch
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/standard/conditional-flow-for-switch
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/standard/conditional-flow-for-switch/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_standard_customer_intent_extraction
on:
schedule:
- cron: "17 21 * * *" # Every day starting at 5:17 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/standard/customer-intent-extraction/**, examples/*requirements.txt, .github/workflows/samples_flows_standard_customer_intent_extraction.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_standard_customer_intent_extraction:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/standard/customer-intent-extraction
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/standard/customer-intent-extraction
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/standard/customer-intent-extraction/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/standard/customer-intent-extraction/README.md -o examples/flows/standard/customer-intent-extraction
- name: Cat script
working-directory: examples/flows/standard/customer-intent-extraction
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/standard/customer-intent-extraction
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/standard/customer-intent-extraction
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/standard/customer-intent-extraction
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/standard/customer-intent-extraction/bash_script.sh
@@ -0,0 +1,121 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_standard_describe_image
on:
schedule:
- cron: "9 19 * * *" # Every day starting at 3:9 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/standard/describe-image/**, examples/*requirements.txt, .github/workflows/samples_flows_standard_describe_image.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_standard_describe_image:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/standard/describe-image
run: |
AOAI_API_KEY=${{ secrets.AOAI_GPT_4V_KEY }}
AOAI_API_ENDPOINT=${{ secrets.AOAI_GPT_4V_ENDPOINT }}
AOAI_API_ENDPOINT=$(echo ${AOAI_API_ENDPOINT//\//\\/})
cp ../../../connections/azure_openai.yml ./azure_openai.yml
sed -i -e "s/<user-input>/$AOAI_API_KEY/g" -e "s/aoai-api-endpoint/$AOAI_API_ENDPOINT/g" azure_openai.yml
- name: Create AOAI Connection from ENV file
working-directory: examples/flows/standard/describe-image
run: |
if [[ -e .env ]]; then
pf connection create --file .env --name aoai_gpt4v_connection
fi
if [[ -e azure_openai.yml ]]; then
pf connection create --file azure_openai.yml --name aoai_gpt4v_connection
fi
pf connection list
- name: Create run.yml
working-directory: examples/flows/standard/describe-image
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/standard/describe-image/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/standard/describe-image/README.md -o examples/flows/standard/describe-image
- name: Cat script
working-directory: examples/flows/standard/describe-image
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/standard/describe-image
run: |
export aoai_api_key=${{secrets.AOAI_GPT_4V_KEY }}
export aoai_api_endpoint=${{ secrets.AOAI_GPT_4V_ENDPOINT }}
export test_workspace_sub_id=${{ 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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/standard/describe-image
run: |
export aoai_api_key=${{secrets.AOAI_GPT_4V_KEY }}
export aoai_api_endpoint=${{ secrets.AOAI_GPT_4V_ENDPOINT }}
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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/standard/describe-image
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/standard/describe-image/bash_script.sh
@@ -0,0 +1,126 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_standard_flow_with_additional_includes
on:
schedule:
- cron: "29 20 * * *" # Every day starting at 4:29 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/standard/flow-with-additional-includes/**, examples/*requirements.txt, examples/flows/standard/web-classification/**, .github/workflows/samples_flows_standard_flow_with_additional_includes.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_standard_flow_with_additional_includes:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/standard/flow-with-additional-includes
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/standard/flow-with-additional-includes
run: |
gpt_base=${{ 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: Create AOAI Connection from YAML
working-directory: ${{ github.workspace }}
run: pf connection create --file examples/connections/azure_openai.yml --set api_key=${{ secrets.AOAI_API_KEY_TEST }} api_base=${{ secrets.AOAI_API_ENDPOINT_TEST }}
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/standard/flow-with-additional-includes/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/standard/flow-with-additional-includes/README.md -o examples/flows/standard/flow-with-additional-includes
- name: Cat script
working-directory: examples/flows/standard/flow-with-additional-includes
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/standard/flow-with-additional-includes
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/standard/flow-with-additional-includes
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/standard/flow-with-additional-includes
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/standard/flow-with-additional-includes/bash_script.sh
@@ -0,0 +1,126 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_standard_flow_with_symlinks
on:
schedule:
- cron: "41 20 * * *" # Every day starting at 4:41 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/standard/flow-with-symlinks/**, examples/*requirements.txt, examples/flows/standard/web-classification/**, .github/workflows/samples_flows_standard_flow_with_symlinks.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_standard_flow_with_symlinks:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/standard/flow-with-symlinks
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/standard/flow-with-symlinks
run: |
gpt_base=${{ 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: Create AOAI Connection from YAML
working-directory: ${{ github.workspace }}
run: pf connection create --file examples/connections/azure_openai.yml --set api_key=${{ secrets.AOAI_API_KEY_TEST }} api_base=${{ secrets.AOAI_API_ENDPOINT_TEST }}
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/standard/flow-with-symlinks/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/standard/flow-with-symlinks/README.md -o examples/flows/standard/flow-with-symlinks
- name: Cat script
working-directory: examples/flows/standard/flow-with-symlinks
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/standard/flow-with-symlinks
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/standard/flow-with-symlinks
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/standard/flow-with-symlinks
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/standard/flow-with-symlinks/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_standard_gen_docstring
on:
schedule:
- cron: "0 20 * * *" # Every day starting at 4:0 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/standard/gen-docstring/**, examples/*requirements.txt, .github/workflows/samples_flows_standard_gen_docstring.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_standard_gen_docstring:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/standard/gen-docstring
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/standard/gen-docstring
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/standard/gen-docstring/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/standard/gen-docstring/README.md -o examples/flows/standard/gen-docstring
- name: Cat script
working-directory: examples/flows/standard/gen-docstring
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/standard/gen-docstring
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/standard/gen-docstring
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/standard/gen-docstring
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/standard/gen-docstring/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_standard_maths_to_code
on:
schedule:
- cron: "39 19 * * *" # Every day starting at 3:39 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/standard/maths-to-code/**, examples/*requirements.txt, .github/workflows/samples_flows_standard_maths_to_code.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_standard_maths_to_code:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/standard/maths-to-code
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/standard/maths-to-code
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/standard/maths-to-code/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/standard/maths-to-code/README.md -o examples/flows/standard/maths-to-code
- name: Cat script
working-directory: examples/flows/standard/maths-to-code
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/standard/maths-to-code
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/standard/maths-to-code
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/standard/maths-to-code
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/standard/maths-to-code/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_standard_named_entity_recognition
on:
schedule:
- cron: "11 22 * * *" # Every day starting at 6:11 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/standard/named-entity-recognition/**, examples/*requirements.txt, .github/workflows/samples_flows_standard_named_entity_recognition.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_standard_named_entity_recognition:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/standard/named-entity-recognition
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/standard/named-entity-recognition
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/standard/named-entity-recognition/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/standard/named-entity-recognition/README.md -o examples/flows/standard/named-entity-recognition
- name: Cat script
working-directory: examples/flows/standard/named-entity-recognition
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/standard/named-entity-recognition
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/standard/named-entity-recognition
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/standard/named-entity-recognition
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/standard/named-entity-recognition/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_standard_question_simulation
on:
schedule:
- cron: "37 19 * * *" # Every day starting at 3:37 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/standard/question-simulation/**, examples/*requirements.txt, .github/workflows/samples_flows_standard_question_simulation.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_standard_question_simulation:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/standard/question-simulation
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/standard/question-simulation
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/standard/question-simulation/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/standard/question-simulation/README.md -o examples/flows/standard/question-simulation
- name: Cat script
working-directory: examples/flows/standard/question-simulation
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/standard/question-simulation
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/standard/question-simulation
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/standard/question-simulation
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/standard/question-simulation/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_standard_web_classification
on:
schedule:
- cron: "13 21 * * *" # Every day starting at 5:13 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/standard/web-classification/**, examples/*requirements.txt, .github/workflows/samples_flows_standard_web_classification.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_standard_web_classification:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/flows/standard/web-classification
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/flows/standard/web-classification
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/flows/standard/web-classification/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/flows/standard/web-classification/README.md -o examples/flows/standard/web-classification
- name: Cat script
working-directory: examples/flows/standard/web-classification
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/flows/standard/web-classification
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/flows/standard/web-classification
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/flows/standard/web-classification
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/flows/standard/web-classification/bash_script.sh
@@ -0,0 +1,74 @@
# 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.
name: samples_getstarted_flowasfunction
on:
schedule:
- cron: "17 21 * * *" # Every day starting at 5:17 BJT
pull_request:
branches: [ main ]
paths: [ examples/tutorials/get-started/**, examples/*requirements.txt, .github/workflows/samples_getstarted_flowasfunction.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_getstarted_flowasfunction:
runs-on: ubuntu-latest
environment:
internal
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: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Create new Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}" name=new_ai_connection
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/tutorials/get-started
run: |
papermill -k python flow-as-function.ipynb flow-as-function.output.ipynb -p api_key ${{ secrets.AOAI_API_KEY_TEST }} -p api_base ${{ secrets.AOAI_API_ENDPOINT_TEST }} -p api_version 2023-07-01-preview
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/tutorials/get-started
@@ -0,0 +1,88 @@
# 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.
name: samples_getstarted_quickstart
on:
schedule:
- cron: "55 21 * * *" # Every day starting at 5:55 BJT
pull_request:
branches: [ main ]
paths: [ examples/tutorials/get-started/**, examples/*requirements.txt, .github/workflows/samples_getstarted_quickstart.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_getstarted_quickstart:
runs-on: ubuntu-latest
environment:
internal
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: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: setup .env file
working-directory: examples/tutorials/get-started
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/tutorials/get-started
run: |
papermill -k python quickstart.ipynb quickstart.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/tutorials/get-started
@@ -0,0 +1,78 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_getstarted_quickstartazure
on:
schedule:
- cron: "24 20 * * *" # Every day starting at 4:24 BJT
pull_request:
branches: [ main ]
paths: [ examples/tutorials/get-started/**, examples/*requirements.txt, .github/workflows/samples_getstarted_quickstartazure.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_getstarted_quickstartazure:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Generate config.json for canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
run: echo '${{ 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: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/tutorials/get-started
run: |
papermill -k python quickstart-azure.ipynb quickstart-azure.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/tutorials/get-started
+123
View File
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_prompty_basic
on:
schedule:
- cron: "46 19 * * *" # Every day starting at 3:46 BJT
pull_request:
branches: [ main ]
paths: [ examples/prompty/basic/**, examples/*requirements.txt, .github/workflows/samples_prompty_basic.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_prompty_basic:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/prompty/basic
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/prompty/basic
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/prompty/basic/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/prompty/basic/README.md -o examples/prompty/basic
- name: Cat script
working-directory: examples/prompty/basic
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/prompty/basic
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/prompty/basic
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/prompty/basic
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/prompty/basic/bash_script.sh
@@ -0,0 +1,88 @@
# 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.
name: samples_prompty_basic_promptyquickstart
on:
schedule:
- cron: "19 21 * * *" # Every day starting at 5:19 BJT
pull_request:
branches: [ main ]
paths: [ examples/prompty/basic/**, examples/*requirements.txt, .github/workflows/samples_prompty_basic_promptyquickstart.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_prompty_basic_promptyquickstart:
runs-on: ubuntu-latest
environment:
internal
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: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: setup .env file
working-directory: examples/prompty/basic
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/prompty/basic
run: |
papermill -k python prompty-quickstart.ipynb prompty-quickstart.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/prompty/basic
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_prompty_chat_basic
on:
schedule:
- cron: "47 20 * * *" # Every day starting at 4:47 BJT
pull_request:
branches: [ main ]
paths: [ examples/prompty/chat-basic/**, examples/*requirements.txt, .github/workflows/samples_prompty_chat_basic.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_prompty_chat_basic:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/prompty/chat-basic
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/prompty/chat-basic
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/prompty/chat-basic/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/prompty/chat-basic/README.md -o examples/prompty/chat-basic
- name: Cat script
working-directory: examples/prompty/chat-basic
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/prompty/chat-basic
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/prompty/chat-basic
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/prompty/chat-basic
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/prompty/chat-basic/bash_script.sh
@@ -0,0 +1,88 @@
# 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.
name: samples_prompty_chatbasic_chatwithprompty
on:
schedule:
- cron: "51 19 * * *" # Every day starting at 3:51 BJT
pull_request:
branches: [ main ]
paths: [ examples/prompty/chat-basic/**, examples/*requirements.txt, .github/workflows/samples_prompty_chatbasic_chatwithprompty.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_prompty_chatbasic_chatwithprompty:
runs-on: ubuntu-latest
environment:
internal
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: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: setup .env file
working-directory: examples/prompty/chat-basic
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/prompty/chat-basic
run: |
papermill -k python chat-with-prompty.ipynb chat-with-prompty.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/prompty/chat-basic
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_prompty_eval_apology
on:
schedule:
- cron: "10 22 * * *" # Every day starting at 6:10 BJT
pull_request:
branches: [ main ]
paths: [ examples/prompty/eval-apology/**, examples/*requirements.txt, .github/workflows/samples_prompty_eval_apology.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_prompty_eval_apology:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/prompty/eval-apology
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/prompty/eval-apology
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/prompty/eval-apology/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/prompty/eval-apology/README.md -o examples/prompty/eval-apology
- name: Cat script
working-directory: examples/prompty/eval-apology
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/prompty/eval-apology
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/prompty/eval-apology
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/prompty/eval-apology
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/prompty/eval-apology/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_prompty_eval_basic
on:
schedule:
- cron: "25 21 * * *" # Every day starting at 5:25 BJT
pull_request:
branches: [ main ]
paths: [ examples/prompty/eval-basic/**, examples/*requirements.txt, .github/workflows/samples_prompty_eval_basic.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_prompty_eval_basic:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/prompty/eval-basic
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/prompty/eval-basic
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/prompty/eval-basic/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/prompty/eval-basic/README.md -o examples/prompty/eval-basic
- name: Cat script
working-directory: examples/prompty/eval-basic
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/prompty/eval-basic
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/prompty/eval-basic
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/prompty/eval-basic
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/prompty/eval-basic/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_prompty_format_output
on:
schedule:
- cron: "9 22 * * *" # Every day starting at 6:9 BJT
pull_request:
branches: [ main ]
paths: [ examples/prompty/format-output/**, examples/*requirements.txt, .github/workflows/samples_prompty_format_output.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_prompty_format_output:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/prompty/format-output
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/prompty/format-output
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/prompty/format-output/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/prompty/format-output/README.md -o examples/prompty/format-output
- name: Cat script
working-directory: examples/prompty/format-output
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/prompty/format-output
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/prompty/format-output
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/prompty/format-output
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/prompty/format-output/bash_script.sh
@@ -0,0 +1,88 @@
# 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.
name: samples_prompty_formatoutput_promptyoutputformat
on:
schedule:
- cron: "7 20 * * *" # Every day starting at 4:7 BJT
pull_request:
branches: [ main ]
paths: [ examples/prompty/format-output/**, examples/*requirements.txt, .github/workflows/samples_prompty_formatoutput_promptyoutputformat.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_prompty_formatoutput_promptyoutputformat:
runs-on: ubuntu-latest
environment:
internal
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: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: setup .env file
working-directory: examples/prompty/format-output
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/prompty/format-output
run: |
papermill -k python prompty-output-format.ipynb prompty-output-format.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/prompty/format-output
@@ -0,0 +1,78 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_runflowwithpipeline_pipeline
on:
schedule:
- cron: "33 20 * * *" # Every day starting at 4:33 BJT
pull_request:
branches: [ main ]
paths: [ examples/tutorials/run-flow-with-pipeline/**, examples/*requirements.txt, .github/workflows/samples_runflowwithpipeline_pipeline.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_runflowwithpipeline_pipeline:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Generate config.json for canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
run: echo '${{ 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: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/tutorials/run-flow-with-pipeline
run: |
papermill -k python pipeline.ipynb pipeline.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/tutorials/run-flow-with-pipeline
@@ -0,0 +1,78 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_runmanagement_cloudrunmanagement
on:
schedule:
- cron: "24 20 * * *" # Every day starting at 4:24 BJT
pull_request:
branches: [ main ]
paths: [ examples/tutorials/run-management/**, examples/*requirements.txt, .github/workflows/samples_runmanagement_cloudrunmanagement.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_runmanagement_cloudrunmanagement:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Generate config.json for canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
run: echo '${{ 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: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/tutorials/run-management
run: |
papermill -k python cloud-run-management.ipynb cloud-run-management.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/tutorials/run-management
@@ -0,0 +1,88 @@
# 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.
name: samples_runmanagement_runmanagement
on:
schedule:
- cron: "51 20 * * *" # Every day starting at 4:51 BJT
pull_request:
branches: [ main ]
paths: [ examples/tutorials/run-management/**, examples/*requirements.txt, .github/workflows/samples_runmanagement_runmanagement.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_runmanagement_runmanagement:
runs-on: ubuntu-latest
environment:
internal
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: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: setup .env file
working-directory: examples/tutorials/run-management
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/tutorials/run-management
run: |
papermill -k python run-management.ipynb run-management.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/tutorials/run-management
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_tools_use_cases_cascading_inputs_tool_showcase
on:
schedule:
- cron: "41 20 * * *" # Every day starting at 4:41 BJT
pull_request:
branches: [ main ]
paths: [ examples/tools/use-cases/cascading-inputs-tool-showcase/**, examples/*requirements.txt, .github/workflows/samples_tools_use_cases_cascading_inputs_tool_showcase.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_tools_use_cases_cascading_inputs_tool_showcase:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/tools/use-cases/cascading-inputs-tool-showcase
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/tools/use-cases/cascading-inputs-tool-showcase
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/tools/use-cases/cascading-inputs-tool-showcase/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/tools/use-cases/cascading-inputs-tool-showcase/README.md -o examples/tools/use-cases/cascading-inputs-tool-showcase
- name: Cat script
working-directory: examples/tools/use-cases/cascading-inputs-tool-showcase
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/tools/use-cases/cascading-inputs-tool-showcase
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/tools/use-cases/cascading-inputs-tool-showcase
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/tools/use-cases/cascading-inputs-tool-showcase
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/tools/use-cases/cascading-inputs-tool-showcase/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_tools_use_cases_custom_llm_tool_showcase
on:
schedule:
- cron: "40 21 * * *" # Every day starting at 5:40 BJT
pull_request:
branches: [ main ]
paths: [ examples/tools/use-cases/custom_llm_tool_showcase/**, examples/*requirements.txt, .github/workflows/samples_tools_use_cases_custom_llm_tool_showcase.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_tools_use_cases_custom_llm_tool_showcase:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/tools/use-cases/custom_llm_tool_showcase
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/tools/use-cases/custom_llm_tool_showcase
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/tools/use-cases/custom_llm_tool_showcase/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/tools/use-cases/custom_llm_tool_showcase/README.md -o examples/tools/use-cases/custom_llm_tool_showcase
- name: Cat script
working-directory: examples/tools/use-cases/custom_llm_tool_showcase
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/tools/use-cases/custom_llm_tool_showcase
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/tools/use-cases/custom_llm_tool_showcase
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/tools/use-cases/custom_llm_tool_showcase
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/tools/use-cases/custom_llm_tool_showcase/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_tools_use_cases_custom_strong_type_connection_package_tool_showcase
on:
schedule:
- cron: "0 20 * * *" # Every day starting at 4:0 BJT
pull_request:
branches: [ main ]
paths: [ examples/tools/use-cases/custom-strong-type-connection-package-tool-showcase/**, examples/*requirements.txt, .github/workflows/samples_tools_use_cases_custom_strong_type_connection_package_tool_showcase.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_tools_use_cases_custom_strong_type_connection_package_tool_showcase:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/tools/use-cases/custom-strong-type-connection-package-tool-showcase
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/tools/use-cases/custom-strong-type-connection-package-tool-showcase
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/tools/use-cases/custom-strong-type-connection-package-tool-showcase/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/tools/use-cases/custom-strong-type-connection-package-tool-showcase/README.md -o examples/tools/use-cases/custom-strong-type-connection-package-tool-showcase
- name: Cat script
working-directory: examples/tools/use-cases/custom-strong-type-connection-package-tool-showcase
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/tools/use-cases/custom-strong-type-connection-package-tool-showcase
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/tools/use-cases/custom-strong-type-connection-package-tool-showcase
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/tools/use-cases/custom-strong-type-connection-package-tool-showcase
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/tools/use-cases/custom-strong-type-connection-package-tool-showcase/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_tools_use_cases_custom_strong_type_connection_script_tool_showcase
on:
schedule:
- cron: "58 20 * * *" # Every day starting at 4:58 BJT
pull_request:
branches: [ main ]
paths: [ examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase/**, examples/*requirements.txt, .github/workflows/samples_tools_use_cases_custom_strong_type_connection_script_tool_showcase.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_tools_use_cases_custom_strong_type_connection_script_tool_showcase:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase/README.md -o examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase
- name: Cat script
working-directory: examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase/bash_script.sh
@@ -0,0 +1,123 @@
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_tools_use_cases_dynamic_list_input_tool_showcase
on:
schedule:
- cron: "18 20 * * *" # Every day starting at 4:18 BJT
pull_request:
branches: [ main ]
paths: [ examples/tools/use-cases/dynamic-list-input-tool-showcase/**, examples/*requirements.txt, .github/workflows/samples_tools_use_cases_dynamic_list_input_tool_showcase.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_tools_use_cases_dynamic_list_input_tool_showcase:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
working-directory: examples
run: |
if [[ -e requirements.txt ]]; then
python -m pip install --upgrade pip
pip install -r requirements.txt
fi
- name: Prepare dev requirements
working-directory: examples
run: |
python -m pip install --upgrade pip
pip install -r dev_requirements.txt
- name: Refine .env file
working-directory: examples/tools/use-cases/dynamic-list-input-tool-showcase
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create run.yml
working-directory: examples/tools/use-cases/dynamic-list-input-tool-showcase
run: |
gpt_base=${{ 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: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 0
maximum: 99
- name: Azure Login
uses: azure/login@v1
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Extract Steps examples/tools/use-cases/dynamic-list-input-tool-showcase/README.md
working-directory: ${{ github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f examples/tools/use-cases/dynamic-list-input-tool-showcase/README.md -o examples/tools/use-cases/dynamic-list-input-tool-showcase
- name: Cat script
working-directory: examples/tools/use-cases/dynamic-list-input-tool-showcase
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
working-directory: examples/tools/use-cases/dynamic-list-input-tool-showcase
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_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: Run scripts against production workspace
if: github.event_name != 'schedule'
working-directory: examples/tools/use-cases/dynamic-list-input-tool-showcase
run: |
export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
export AZURE_OPENAI_API_KEY=${{secrets.AOAI_API_KEY_TEST }}
export AZURE_OPENAI_ENDPOINT=${{ 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_PROD }}
bash bash_script.sh
- name: Pip List for Debug
if : ${{ always() }}
working-directory: examples/tools/use-cases/dynamic-list-input-tool-showcase
run: |
pip list
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: artifact
path: examples/tools/use-cases/dynamic-list-input-tool-showcase/bash_script.sh
@@ -0,0 +1,93 @@
# 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.
name: samples_tracing_autogengroupchat_traceautogengroupchat
on:
schedule:
- cron: "11 20 * * *" # Every day starting at 4:11 BJT
pull_request:
branches: [ main ]
paths: [ examples/tutorials/tracing/autogen-groupchat/**, examples/*requirements.txt, .github/workflows/samples_tracing_autogengroupchat_traceautogengroupchat.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_tracing_autogengroupchat_traceautogengroupchat:
runs-on: ubuntu-latest
environment:
internal
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: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: setup .env file
working-directory: examples/tutorials/tracing/autogen-groupchat
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
if [[ -e OAI_CONFIG_LIST.json.example ]]; then
echo "OAI_CONFIG_LIST replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" OAI_CONFIG_LIST.json.example
mv OAI_CONFIG_LIST.json.example OAI_CONFIG_LIST.json
fi
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/tutorials/tracing/autogen-groupchat
run: |
papermill -k python trace-autogen-groupchat.ipynb trace-autogen-groupchat.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/tutorials/tracing/autogen-groupchat
@@ -0,0 +1,88 @@
# 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.
name: samples_tracing_customotlpcollector_otlptracecollector
on:
schedule:
- cron: "22 21 * * *" # Every day starting at 5:22 BJT
pull_request:
branches: [ main ]
paths: [ examples/tutorials/tracing/custom-otlp-collector/**, examples/*requirements.txt, .github/workflows/samples_tracing_customotlpcollector_otlptracecollector.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_tracing_customotlpcollector_otlptracecollector:
runs-on: ubuntu-latest
environment:
internal
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: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
- name: setup .env file
working-directory: examples/tutorials/tracing/custom-otlp-collector
run: |
AOAI_API_KEY=${{ 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>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
fi
if [[ -e ../.env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" ../.env.example
mv ../.env.example ../.env
fi
- name: Create Aoai Connection
run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 99
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/tutorials/tracing/custom-otlp-collector
run: |
papermill -k python otlp-trace-collector.ipynb otlp-trace-collector.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/tutorials/tracing/custom-otlp-collector

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