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Convert to new split pipeline approach for CI/CD (#278)
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* new split pipelines

* specify channel

* fix pip jq install

* fixes and cleanup

* add new lines

* add docs and clean up naming

* use shared image

* rename

* strip quotes from location

* fix env var

* remove succeeded condition

* remove extra deploy yml

* no pr trigger

* remove unused template

* remove unused pipeline

* add more docs and add to bootstrap

* linting

* fix model package to show logs

* Squashed commit of the following:

commit 01af8da
Author: j-so <[email protected]>
Date:   Fri Jun 12 14:15:35 2020 -0700

    fixed failure handling

commit 1e6f906
Author: j-so <[email protected]>
Date:   Fri Jun 12 14:03:09 2020 -0700

    test failed conda dep

commit a8030d7
Author: j-so <[email protected]>
Date:   Fri Jun 12 13:55:00 2020 -0700

    test package fail

commit c7845aa
Author: j-so <[email protected]>
Date:   Fri Jun 12 13:46:27 2020 -0700

    fail on deploy error'

* Squashed commit of the following:

commit 5af6eeb
Author: j-so <[email protected]>
Date:   Mon Jun 15 18:31:15 2020 -0700

    fix bootstrap

commit f61e103
Merge: 2796b40 08bb6f4
Author: j-so <[email protected]>
Date:   Mon Jun 15 18:30:21 2020 -0700

    Merge branch 'master' into jenns/splitpipeline_docfix

commit 2796b40
Author: j-so <[email protected]>
Date:   Mon Jun 15 18:30:00 2020 -0700

    remove old pipeline

commit 08bb6f4
Author: David Tesar <[email protected]>
Date:   Mon Jun 15 14:09:12 2020 -0700

    Simplify docs flow (#297)

commit cd762ec
Author: jotaylo <[email protected]>
Date:   Mon Jun 15 12:28:23 2020 -0700

    Move instruction to install AML extension to Azure Devops setup instructions (#298)

* remove need for model build id

* fix batch scoring

* use model version for batch scoring

* linting

* Squashed commit of the following:

commit 493ed3e
Author: j-so <[email protected]>
Date:   Mon Jun 22 16:42:07 2020 -0700

    mark as output

commit 1ca7a59
Author: j-so <[email protected]>
Date:   Mon Jun 22 16:12:10 2020 -0700

    fix import

commit 743e301
Author: j-so <[email protected]>
Date:   Mon Jun 22 15:59:43 2020 -0700

    more fixes

commit 44abcac
Author: j-so <[email protected]>
Date:   Mon Jun 22 15:50:49 2020 -0700

    fix batch scoring

* improve the docs

* fix secret access

* pass to cli task and impove naming
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j-so authored Jun 26, 2020
1 parent bcdac5c commit b21a46e
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35 changes: 30 additions & 5 deletions .pipelines/diabetes_regression-batchscoring-ci.yml
Original file line number Diff line number Diff line change
@@ -1,12 +1,27 @@
# Continuous Integration (CI) pipeline that orchestrates the batch scoring 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
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

pr: none
trigger:
branches:
include:
Expand Down Expand Up @@ -34,7 +49,13 @@ stages:
timeoutInMinutes: 0
steps:
- template: code-quality-template.yml
- 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: ${{ parameters.artifactBuildId }}
- task: AzureCLI@1
displayName: "Publish Batch Scoring Pipeline"
name: publish_batchscore
inputs:
azureSubscription: '$(WORKSPACE_SVC_CONNECTION)'
Expand All @@ -45,20 +66,24 @@ stages:
export SUBSCRIPTION_ID=$(az account show --query id -o tsv)
# Invoke the Python building and publishing a training pipeline
python -m ml_service.pipelines.diabetes_regression_build_parallel_batchscore_pipeline
env:
SCORING_DATASTORE_ACCESS_KEY: $(SCORING_DATASTORE_ACCESS_KEY)

- job: "Run_Batch_Score_Pipeline"
displayName: "Run Batch Scoring Pipeline"
dependsOn: "Build_Batch_Scoring_Pipeline"
dependsOn: ["Build_Batch_Scoring_Pipeline"]
timeoutInMinutes: 240
pool: server
variables:
pipeline_id: $[ dependencies.Build_Batch_Scoring_Pipeline.outputs['publish_batchscore.pipeline_id']]
model_name: $[ dependencies.Build_Batch_Scoring_Pipeline.outputs['get_model.MODEL_NAME']]
model_version: $[ dependencies.Build_Batch_Scoring_Pipeline.outputs['get_model.MODEL_VERSION']]
steps:
- task: ms-air-aiagility.vss-services-azureml.azureml-restApi-task.MLPublishedPipelineRestAPITask@0
displayName: 'Invoke Batch Scoring pipeline'
inputs:
azureSubscription: '$(WORKSPACE_SVC_CONNECTION)'
PipelineId: '$(pipeline_id)'
ExperimentName: '$(EXPERIMENT_NAME)'
PipelineParameters: '"ParameterAssignments": {"model_name": "$(MODEL_NAME)"}'
PipelineParameters: '"ParameterAssignments": {"model_name": "$(model_name)", "model_version": "$(model_version)"}'

161 changes: 161 additions & 0 deletions .pipelines/diabetes_regression-cd.yml
Original file line number Diff line number Diff line change
@@ -0,0 +1,161 @@
# 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):$(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):$(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: $(MODEL_NAME):$(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"
15 changes: 5 additions & 10 deletions .pipelines/diabetes_regression-ci-image.yml
Original file line number Diff line number Diff line change
Expand Up @@ -30,14 +30,9 @@ variables:
value: 'scoring/scoreB.py'

steps:
- task: AzureCLI@1
inputs:
azureSubscription: '$(WORKSPACE_SVC_CONNECTION)'
scriptLocation: inlineScript
workingDirectory: $(Build.SourcesDirectory)
inlineScript: |
set -e
export SUBSCRIPTION_ID=$(az account show --query id -o tsv)
python3 -m ml_service.util.create_scoring_image
displayName: 'Create Scoring Image'
- template: diabetes_regression-package-model-template.yml
parameters:
modelId: $(MODEL_NAME):$(MODEL_VERSION)
scoringScriptPath: '$(Build.SourcesDirectory)/$(SOURCES_DIR_TRAIN)/$(SCORE_SCRIPT)'
condaFilePath: '$(Build.SourcesDirectory)/$(SOURCES_DIR_TRAIN)/conda_dependencies.yml'

119 changes: 5 additions & 114 deletions .pipelines/diabetes_regression-ci.yml
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
# Continuous Integration (CI) pipeline that orchestrates the training, evaluation, registration, deployment, and testing of the diabetes_regression model.
# Continuous Integration (CI) pipeline that orchestrates the training, evaluation, and registration of the diabetes_regression model.

resources:
containers:
Expand Down Expand Up @@ -27,7 +27,6 @@ pool:
stages:
- stage: 'Model_CI'
displayName: 'Model CI'
condition: not(variables['MODEL_BUILD_ID'])
jobs:
- job: "Model_CI_Pipeline"
displayName: "Model CI Pipeline"
Expand All @@ -48,8 +47,8 @@ stages:
displayName: 'Publish Azure Machine Learning Pipeline'

- stage: 'Trigger_AML_Pipeline'
displayName: 'Train model'
condition: and(succeeded(), not(variables['MODEL_BUILD_ID']))
displayName: 'Train and evaluate model'
condition: succeeded()
variables:
BUILD_URI: '$(SYSTEM.COLLECTIONURI)$(SYSTEM.TEAMPROJECT)/_build/results?buildId=$(BUILD.BUILDID)'
jobs:
Expand Down Expand Up @@ -91,116 +90,8 @@ stages:
- job: "Training_Run_Report"
dependsOn: "Run_ML_Pipeline"
condition: always()
displayName: "Determine if evaluation succeeded and new model is registered"
displayName: "Publish artifact if new model was registered"
container: mlops
timeoutInMinutes: 0
steps:
- template: diabetes_regression-get-model-version-template.yml

- stage: 'Deploy_ACI'
displayName: 'Deploy to ACI'
dependsOn: Trigger_AML_Pipeline
condition: and(or(succeeded(), variables['MODEL_BUILD_ID']), variables['ACI_DEPLOYMENT_NAME'])
jobs:
- job: "Deploy_ACI"
displayName: "Deploy to ACI"
container: mlops
timeoutInMinutes: 0
steps:
- template: diabetes_regression-get-model-version-template.yml
- task: ms-air-aiagility.vss-services-azureml.azureml-model-deploy-task.AMLModelDeploy@0
displayName: 'Azure ML Model Deploy'
inputs:
azureSubscription: $(WORKSPACE_SVC_CONNECTION)
modelSourceType: manualSpec
modelName: '$(MODEL_NAME)'
modelVersion: $(MODEL_VERSION)
inferencePath: '$(Build.SourcesDirectory)/$(SOURCES_DIR_TRAIN)/scoring/inference_config.yml'
deploymentTarget: ACI
deploymentName: $(ACI_DEPLOYMENT_NAME)
deployConfig: '$(Build.SourcesDirectory)/$(SOURCES_DIR_TRAIN)/scoring/deployment_config_aci.yml'
overwriteExistingDeployment: true
- task: AzureCLI@1
displayName: 'Smoke test'
inputs:
azureSubscription: '$(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-version-template.yml
- task: ms-air-aiagility.vss-services-azureml.azureml-model-deploy-task.AMLModelDeploy@0
displayName: 'Azure ML Model Deploy'
inputs:
azureSubscription: $(WORKSPACE_SVC_CONNECTION)
modelSourceType: manualSpec
modelName: '$(MODEL_NAME)'
modelVersion: $(MODEL_VERSION)
inferencePath: '$(Build.SourcesDirectory)/$(SOURCES_DIR_TRAIN)/scoring/inference_config.yml'
deploymentTarget: AKS
aksCluster: $(AKS_COMPUTE_NAME)
deploymentName: $(AKS_DEPLOYMENT_NAME)
deployConfig: '$(Build.SourcesDirectory)/$(SOURCES_DIR_TRAIN)/scoring/deployment_config_aks.yml'
overwriteExistingDeployment: true
- task: AzureCLI@1
displayName: 'Smoke test'
inputs:
azureSubscription: '$(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'
dependsOn: Trigger_AML_Pipeline
condition: and(or(succeeded(), variables['MODEL_BUILD_ID']), variables['WEBAPP_DEPLOYMENT_NAME'])
jobs:
- job: "Deploy_Webapp"
displayName: "Deploy to Webapp"
container: mlops
timeoutInMinutes: 0
steps:
- template: diabetes_regression-get-model-version-template.yml
- task: AzureCLI@1
displayName: 'Create scoring image and set IMAGE_LOCATION variable'
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.create_scoring_image --output_image_location_file image_location.txt
# Output image location to Azure DevOps job
IMAGE_LOCATION="$(cat image_location.txt)"
echo "##vso[task.setvariable variable=IMAGE_LOCATION]$IMAGE_LOCATION"
- 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"
- template: diabetes_regression-publish-model-artifact-template.yml
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