azure-functions-durable-python/azure-pipelines.yml at dev · Azure/azure-functions-durable-python · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
# Python package
# Create and test a Python package on multiple Python versions.
# Add steps that analyze code, save the dist with the build record, publish to a PyPI-compatible index, and more:
# https://docs.microsoft.com/azure/devops/pipelines/languages/python

trigger:
  branches:
    include:
    - main
    - dev
  tags:
    include:
    - v*

variables:
  python.version: '3.10'
  baseFolder: .
  componentArtifactName: 'azure_functions_durable'
  #componentArtifactName: 'dist'


stages:
- stage: Build
  displayName: Build PyPi Artifact
  jobs:

  - job: Build_Durable_Functions
    displayName: Build Python Package
    pool:
      name: "1ES-Hosted-AzFunc"
      demands:
          - ImageOverride -equals MMSUbuntu20.04TLS
    steps:
    - task: PipAuthenticate@1
      displayName: 'Authenticate to CFS PyPI feed'
      inputs:
        artifactFeeds: 'public/upstream-public'
        onlyAddExtraIndex: false
    - task: UsePythonVersion@0
      inputs:
        versionSpec: '$(python.version)'
    - script: |
        python -m pip install --upgrade pip
        pip install -r requirements.txt
        pip install "setuptools>=69.3.0" setuptools_scm wheel
        # Pin an older azure-functions (< 1.26.0) that predates the
        # centralized df_dumps / df_loads serializers so this job exercises
        # the legacy serialization fallback in df_serialization. The
        # Test_Functions_Sdk_Path job covers the SDK-delegated branch.
        pip install "azure-functions<1.26.0"
      workingDirectory: $(baseFolder)
      displayName: 'Install dependencies'

    - script: |
        cd azure
        flake8 . --count --show-source --statistics
      displayName: 'Run lint test with flake8'

    - script: |
        pip install pytest pytest-azurepipelines
        pytest --ignore=samples-v2
      displayName: 'pytest'
    - task: ManifestGeneratorTask@0
      displayName: "SBOM Generation Task"
      inputs:
          BuildComponentPath: '$(baseFolder)'
          BuildDropPath: $(baseFolder)
          Verbosity: "Information"
    - script: |
        python setup.py sdist bdist_wheel
      workingDirectory: $(baseFolder)
      displayName: 'Building'
    - task: PublishBuildArtifacts@1
      displayName: 'Publish Artifact: dist'
      inputs:
        PathtoPublish: dist
        ArtifactName: $(componentArtifactName)

  - job: Test_Functions_Sdk_Path
    displayName: Test SDK Serialization Path (Py 3.13)
    # The Build_Durable_Functions job runs on Python 3.10 with an older
    # azure-functions (< 1.26.0) pinned, so it only exercises the legacy
    # serialization fallback.  This job runs on Python 3.13 with the beta
    # that first ships df_dumps / df_loads to cover the SDK-delegated branch
    # in df_serialization.
    # TODO: change the override to 'azure-functions>=2.2.0' once 2.2.0 GA
    # ships, and drop the explicit install step.
    pool:
      name: "1ES-Hosted-AzFunc"
      demands:
          - ImageOverride -equals MMSUbuntu20.04TLS
    steps:
    - task: PipAuthenticate@1
      displayName: 'Authenticate to CFS PyPI feed'
      inputs:
        artifactFeeds: 'public/upstream-public'
        onlyAddExtraIndex: false
    - task: UsePythonVersion@0
      inputs:
        versionSpec: '3.13'
    - script: |
        python -m pip install --upgrade pip
        pip install -r requirements.txt
        pip install "azure-functions>=2.2.0b5"
      workingDirectory: $(baseFolder)
      displayName: 'Install dependencies (SDK serializers)'
    - script: |
        pip install pytest pytest-azurepipelines
        pytest --ignore=samples-v2
      displayName: 'pytest'