Example pipeline for python CI pipeline caching in Azure DevOps

azure_pipelines_caching_example_conda.yaml

variables:
  CONDA_ENV_NAME: "unit_test"

  # set $(CONDA) environment variable to your conda path (pre-populated on 'ubuntu-latest' VMs)
  CONDA_ENV_DIR: $(CONDA)/envs/$(CONDA_ENV_NAME)

steps:
- script: echo "##vso[task.prependpath]$CONDA/bin"
  displayName: Add conda to PATH

- task: Cache@2
  displayName: Use cached Anaconda environment
  inputs:
    key: 'conda | "$(Agent.OS)" | requirements.txt'
    path: $(CONDA_ENV_DIR)
    cacheHitVar: CONDA_CACHE_RESTORED

- bash: conda create --yes --quiet --name $(CONDA_ENV_NAME)
  displayName: Create Anaconda environment
  condition: eq(variables.CONDA_CACHE_RESTORED, 'false')

- bash: |
    source activate $(CONDA_ENV_NAME)
    pip install -r requirements.txt
  displayName: Install dependencies
  condition: eq(variables.CONDA_CACHE_RESTORED, 'false')

# Optional step here: Install your package (do not cache this step)
- bash: |
    source activate $(CONDA_ENV_NAME)
    pip install --no-deps .
    pytest .
  displayName: Install package and execute unit tests