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Run Workflows

Run Workflows #458

Workflow file for this run

name: Run Workflows
on:
workflow_dispatch:
# Have to declare parameters here for those that will be sent through 'workflow-dispatch'
# event in branch_dispatch.yml. Otherwise, there'll be github API errors:
# '"message": "Unexpected inputs provided: ...",'
inputs:
event_type:
description: An arbitrary string used to dispatch steps
required: true
type: string
commit_message:
description: The commit message
required: true
type: string
sender_repo:
description: The repository which initiated the workflow dispatch
required: true
type: string
sender_repo_owner:
description: The account name of the repository initiated the workflow dispatch
required: true
type: string
wic_owner:
description: The account name of the wic repository
required: true
type: string
wic_ref:
description: The branch name within the wic repository
required: true
type: string
mm-workflows_owner:
description: The account name of the mm-workflows repository
required: true
type: string
mm-workflows_ref:
description: The branch name within the mm-workflows repository
required: true
type: string
image-workflows_owner:
description: The account name of the image-workflows repository
required: true
type: string
image-workflows_ref:
description: The branch name within the image-workflows repository
required: true
type: string
defaults:
run:
shell: bash -l {0} # Invoke bash in login mode, NOT interactive mode.
# This will cause bash to look for the startup file ~/.bash_profile, NOT ~/.bashrc
# This is important since conda init writes to ~/.bashrc
permissions:
actions: read
contents: read
pull-requests: read
jobs:
run_workflows:
# See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#concurrency
# This will prevent DOS attacks from people blasting the CI with rapid fire commits.
concurrency:
group: ${{ github.workflow }}-cwltool-${{ github.ref }}-${{ inputs.sender_repo }}-${{ inputs.mm-workflows_ref}}
cancel-in-progress: true
runs-on: [self-hosted, linux]
steps:
- name: Checkout workflow-inference-compiler
uses: actions/checkout@v3
with:
repository: ${{ inputs.wic_owner }}/workflow-inference-compiler
ref: ${{ inputs.wic_ref }}
path: workflow-inference-compiler
- name: Checkout biobb_adapters
if: always()
uses: actions/checkout@v3
with:
# NOTE: temporarily hardcode jfennick & master because we can only
# have up to 10 input parameters for workflow_dispatch...
repository: jfennick/biobb_adapters
ref: master
path: biobb_adapters
- name: Checkout mm-workflows
if: always()
uses: actions/checkout@v3
with:
repository: ${{ inputs.mm-workflows_owner }}/mm-workflows
ref: ${{ inputs.mm-workflows_ref }}
path: mm-workflows
- name: Checkout image-workflows
if: always()
uses: actions/checkout@v3
with:
repository: ${{ inputs.image-workflows_owner }}/image-workflows
ref: ${{ inputs.image-workflows_ref }}
path: image-workflows
- name: Remove old global config
if: always()
run: rm -rf "/home/$(whoami)/wic/" && rm -rf "/home/$(whoami)/.toil/"
# For self-hosted runners, make sure we use new global config settings
# Using pypy increases performance / decreases cwltool runtime by about a minute.
- name: Append pypy to conda environment files
if: runner.os != 'Windows'
run: cd workflow-inference-compiler/install/ && echo " - pypy" >> system_deps.yml
- name: Remove old mamba environment
if: always()
run: rm -rf "/home/$(whoami)/miniconda3/envs/wic_github_actions/"
# For self-hosted runners, make sure we install into a new mamba environment
# NOTE: Every time the github self-hosted runner executes, it sets "set -e" in ~/.bash_profile
# So if we rm -rf the old mamba environment without also removing the mamba init code in ~/.bash_profile
# (or removing the file altogether), then unless we immediately re-create the environment,
# (i.e. if we try to run any other commands between removing and re-creating the environment)
# we will get "EnvironmentNameNotFound: Could not find conda environment: wic_github_actions"
# and (again, due to "set -e") the workflow step will fail.
- name: Setup mamba (linux, macos)
if: always()
uses: conda-incubator/setup-miniconda@v3.0.1
with:
miniforge-variant: Mambaforge-pypy3
miniforge-version: latest
environment-file: workflow-inference-compiler/install/system_deps.yml
activate-environment: wic_github_actions
channels: conda-forge
python-version: "3.9.*" # pypy is not yet compatible with 3.10 and 3.11
# - name: Docker pull
# if: always()
# run: cd mm-workflows/ && ./dockerPull.sh
# # For self-hosted runners, make sure the docker cache is up-to-date.
- name: Install Workflow Inference Compiler
if: always()
run: cd workflow-inference-compiler/ && pip install ".[all_except_runner_src]"
- name: Install Molecular Modeling Workflows
if: always()
# Also run mm-workflows command to generate
# mm-workflows/autogenerated/schemas/config_schemas.json
# NOTE: Use ".[test]" instead of ".[all_except_runner_src]"
# We do not want or need to install the workflow_deps extra.
# (Many of the packages conflict with pypy.)
run: cd mm-workflows/ && pip install ".[test]" && mm-workflows --generate_schemas
- name: Generate WIC Python API Workflows (*.py -> *.wic)
if: always()
run: cd workflow-inference-compiler/ && python -c 'import wic; import wic.plugins; wic.plugins.blindly_execute_python_workflows()'
- name: Generate WIC Validation Jsonschema
if: always()
run: cd workflow-inference-compiler/ && wic --generate_schemas
# Please read docs/validation.md#Property-Based-Testing
# This is essentially an integration test for all of the
# WIC Python API workflows as well as the WIC Python API itself.
- name: Validate WIC Python API Workflows (*.py -> *.wic)
if: always()
run: cd workflow-inference-compiler/ && python -c 'import wic; import wic.plugins; wic.plugins.blindly_execute_python_workflows()'
- name: cwl-docker-extract (i.e. recursively docker pull)
if: always()
run: cd workflow-inference-compiler/ && pytest -k test_cwl_docker_extract
# For self-hosted runners, make sure the docker cache is up-to-date.
- name: PyTest Run Workflows
if: always()
# NOTE: Do NOT add coverage to PYPY CI runs https://github.com/tox-dev/tox/issues/2252
run: cd workflow-inference-compiler/ && pytest -k test_run_workflows_on_push --workers 8 --cwl_runner cwltool # --cov
# NOTE: The steps below are for repository_dispatch only. For all other steps, please insert above
# this comment.
# Need to store success value in environment variable, rather than using 'success()' in-line inside a run tag.
# Otherwise: "The workflow is not valid. ... Unrecognized function: 'success'."
# https://github.com/actions/runner/issues/834#issuecomment-889484016
- name: The workflow has succeeded
if: ${{ success() }}
run: |
echo 'workflow_success=true' >> "$GITHUB_ENV"
# It is not clear from the documentation, but the 'success()' and 'failure()' functions
# do not consider skipped steps. Specifically, the above 'success()' function will not
# affect the 'failure()' function here.
# https://docs.github.com/en/actions/learn-github-actions/expressions#status-check-function
- name: The workflow has failed
if: ${{ failure() }}
run: |
echo 'workflow_success=false' >> "$GITHUB_ENV"
# See token.md
- name: Generate a token
if: always()
id: generate_token
uses: tibdex/github-app-token@b62528385c34dbc9f38e5f4225ac829252d1ea92
with:
app_id: ${{ secrets.APP_ID }}
private_key: ${{ secrets.APP_PRIVATE_KEY }}
- name: Reply CI results to sender
# In case of failure, we still need to return the failure status to the original repository.
# Use 'always()' so this step runs even if there's a failure and use the bash if-statement
# to only run this step only if the repository_dispatch sends the signal.
# https://github.com/actions/runner/issues/834#issuecomment-907096707
# Use inputs.sender_repo to reply the original sender.
if: always()
uses: ./workflow-inference-compiler/.github/my_actions/reply_sender/ # Must start with ./
with:
github_repository: ${{ github.repository }}
event_type: ${{ inputs.event_type }}
sender_repo: ${{ inputs.sender_repo }}
operating_system: self-hosted-linux
commit_message: ${{ inputs.commit_message }}
mm_workflows_ref: ${{ inputs.mm-workflows_ref }}
workflow_success: ${{ env.workflow_success }}
access_token: ${{ steps.generate_token.outputs.token }}