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# Continuous Integration (CI) pipeline that orchestrates the deployment of the diabetes_regression model.
# Runtime parameters to select artifacts
parameters:
- name : artifactBuildId
displayName: Model Train CI Build ID. Default is 'latest'.
type: string
default: latest
pr: none
# Trigger this pipeline on model-train pipeline completion
trigger: none
resources:
containers:
- container: mlops
image: mcr.microsoft.com/mlops/python:latest
pipelines:
- pipeline: model-train-ci
source: Model-Train-Register-CI # Name of the triggering pipeline
trigger:
branches:
include:
- master
variables:
- template: diabetes_regression-variables-template.yml
- group: devopsforai-aml-vg
stages:
- stage: 'Deploy_ACI'
displayName: 'Deploy to ACI'
condition: variables['ACI_DEPLOYMENT_NAME']
jobs:
- job: "Deploy_ACI"
displayName: "Deploy to ACI"
container: mlops
timeoutInMinutes: 0
steps:
- download: none
- template: diabetes_regression-get-model-id-artifact-template.yml
parameters:
projectId: '$(resources.pipeline.model-train-ci.projectID)'
pipelineId: '$(resources.pipeline.model-train-ci.pipelineID)'
artifactBuildId: ${{ parameters.artifactBuildId }}
- task: AzureCLI@1
displayName: 'Install AzureML CLI'
inputs:
azureSubscription: '$(WORKSPACE_SVC_CONNECTION)'
scriptLocation: inlineScript
workingDirectory: $(Build.SourcesDirectory)
inlineScript: 'az extension add -n azure-cli-ml'
- task: AzureCLI@1
displayName: "Deploy to ACI (CLI)"
inputs:
azureSubscription: '$(WORKSPACE_SVC_CONNECTION)'
scriptLocation: inlineScript
workingDirectory: $(Build.SourcesDirectory)/$(SOURCES_DIR_TRAIN)/scoring
inlineScript: |
set -e # fail on error
az ml model deploy --name $(ACI_DEPLOYMENT_NAME) --model '$(MODEL_NAME):$(get_model.MODEL_VERSION)' \
--ic inference_config.yml \
--dc deployment_config_aci.yml \
-g $(RESOURCE_GROUP) --workspace-name $(WORKSPACE_NAME) \
--overwrite -v
- task: AzureCLI@1
displayName: 'Smoke test'
inputs:
azureSubscription: '$(WORKSPACE_SVC_CONNECTION)'
scriptLocation: inlineScript
inlineScript: |
set -e # fail on error
export SUBSCRIPTION_ID=$(az account show --query id -o tsv)
python -m ml_service.util.smoke_test_scoring_service --type ACI --service "$(ACI_DEPLOYMENT_NAME)"
- stage: 'Deploy_AKS'
displayName: 'Deploy to AKS'
dependsOn: Deploy_ACI
condition: and(succeeded(), variables['AKS_DEPLOYMENT_NAME'])
jobs:
- job: "Deploy_AKS"
displayName: "Deploy to AKS"
container: mlops
timeoutInMinutes: 0
steps:
- template: diabetes_regression-get-model-id-artifact-template.yml
parameters:
projectId: '$(resources.pipeline.model-train-ci.projectID)'
pipelineId: '$(resources.pipeline.model-train-ci.pipelineID)'
artifactBuildId: ${{ parameters.artifactBuildId }}
- task: AzureCLI@1
displayName: 'Install AzureML CLI'
inputs:
azureSubscription: '$(WORKSPACE_SVC_CONNECTION)'
scriptLocation: inlineScript
workingDirectory: $(Build.SourcesDirectory)
inlineScript: 'az extension add -n azure-cli-ml'
- task: AzureCLI@1
displayName: "Deploy to AKS (CLI)"
inputs:
azureSubscription: '$(WORKSPACE_SVC_CONNECTION)'
scriptLocation: inlineScript
workingDirectory: $(Build.SourcesDirectory)/$(SOURCES_DIR_TRAIN)/scoring
inlineScript: |
set -e # fail on error
az ml model deploy --name $(AKS_DEPLOYMENT_NAME) --model '$(MODEL_NAME):$(get_model.MODEL_VERSION)' \
--compute-target $(AKS_COMPUTE_NAME) \
--ic inference_config.yml \
--dc deployment_config_aks.yml \
-g $(RESOURCE_GROUP) --workspace-name $(WORKSPACE_NAME) \
--overwrite -v
- task: AzureCLI@1
displayName: 'Smoke test'
inputs:
azureSubscription: '$(WORKSPACE_SVC_CONNECTION)'
scriptLocation: inlineScript
inlineScript: |
set -e # fail on error
export SUBSCRIPTION_ID=$(az account show --query id -o tsv)
python -m ml_service.util.smoke_test_scoring_service --type AKS --service "$(AKS_DEPLOYMENT_NAME)"
- stage: 'Deploy_Webapp'
displayName: 'Deploy to Webapp'
condition: variables['WEBAPP_DEPLOYMENT_NAME']
jobs:
- job: "Deploy_Webapp"
displayName: "Package and deploy model"
container: mlops
timeoutInMinutes: 0
steps:
- template: diabetes_regression-get-model-id-artifact-template.yml
parameters:
projectId: '$(resources.pipeline.model-train-ci.projectID)'
pipelineId: '$(resources.pipeline.model-train-ci.pipelineID)'
artifactBuildId: ${{ parameters.artifactBuildId }}
- template: diabetes_regression-package-model-template.yml
parameters:
modelId: $(MODEL_NAME):$(get_model.MODEL_VERSION)
scoringScriptPath: '$(Build.SourcesDirectory)/$(SOURCES_DIR_TRAIN)/scoring/score.py'
condaFilePath: '$(Build.SourcesDirectory)/$(SOURCES_DIR_TRAIN)/conda_dependencies.yml'
- script: echo $(IMAGE_LOCATION) >image_location.txt
displayName: "Write image location file"
- task: AzureWebAppContainer@1
name: WebAppDeploy
displayName: 'Azure Web App on Container Deploy'
inputs:
azureSubscription: '$(AZURE_RM_SVC_CONNECTION)'
appName: '$(WEBAPP_DEPLOYMENT_NAME)'
resourceGroupName: '$(RESOURCE_GROUP)'
imageName: '$(IMAGE_LOCATION)'
- task: AzureCLI@1
displayName: 'Smoke test'
inputs:
azureSubscription: '$(WORKSPACE_SVC_CONNECTION)'
scriptLocation: inlineScript
inlineScript: |
set -e # fail on error
export SUBSCRIPTION_ID=$(az account show --query id -o tsv)
python -m ml_service.util.smoke_test_scoring_service --type Webapp --service "$(WebAppDeploy.AppServiceApplicationUrl)/score"