azure-pipelines.yml

trigger:
- master

pool:
  vmImage: 'ubuntu-18.04'

steps:
- task: UsePythonVersion@0
  displayName: 'Use Python 3.6.9'
  inputs:
    versionSpec: 3.6.9

- bash: |
   pip3 install ipykernel==5.1.2
   pip3 install papermill==1.2.0
   pip3 install mlflow==1.3.0
   pip3 install azureml-core==1.0.65
   pip3 install keras==2.3.0
   pip3 install tensorflow==1.13.1
   
  displayName: 'install dependencies'

- bash: |
   papermill notebooks/03-devops-pipeline-build.ipynb notebooks/build_out.ipynb --log-output
   
  displayName: 'run deployment'
  env:
    workspace_name: $(workspace_name)
    subscription_id: $(subscription_id)
    resource_group: $(resource_group)
    location: $(location)
    account_name: $(account_name)
    account_key: $(account_key)
    tenant_id: $(tenant_id)
    service_principal_id: $(service_principal_id)
    service_principal_password: $(service_principal_password)

- bash: |
   echo deployment completed and availiable URI:
   echo $(<scoring_path)
  displayName: result