Alioss Integration Tests Migration to Github Worfklow#9
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- scripts to run, teardown and setup are added.
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Pull Request Overview
This PR migrates the Alioss integration tests from a Concourse pipeline to a GitHub Workflow, consolidating CI/CD operations within the storage-cli repository. The implementation introduces helper scripts that dynamically provision and clean up Alibaba OSS buckets during test execution.
Key Changes:
- Added GitHub Workflow (
.github/workflows/alioss-integration.yml) that orchestrates integration tests with dynamic bucket provisioning - Created helper scripts (
setup.sh,run-int.sh,teardown.sh) to manage test environment lifecycle - Updated documentation in
alioss/README.mdto reflect new testing procedures
Reviewed Changes
Copilot reviewed 6 out of 6 changed files in this pull request and generated 11 comments.
Show a summary per file
| File | Description |
|---|---|
.github/workflows/alioss-integration.yml |
New GitHub Actions workflow for running Alioss integration tests on pull requests |
.github/scripts/alioss/utils.sh |
Utility functions for bucket management, Aliyun CLI configuration, and file-based bucket name tracking |
.github/scripts/alioss/setup.sh |
Script to initialize test environment by creating dynamically named OSS buckets |
.github/scripts/alioss/run-int.sh |
Script to execute integration tests with proper environment variable configuration |
.github/scripts/alioss/teardown.sh |
Cleanup script to delete test buckets after test execution |
alioss/README.md |
Updated documentation with separate unit and integration test instructions, including manual setup guide |
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Context
The integration tests previously ran in a Concourse pipeline. As part of consolidating all clis into storage-cli repository, the Concourse pipelines needed to be fully migrated to GitHub Workflows.
Solution
A new GitHub Workflow has been introduced. The workflow includes one job, alioss-general-integration-tests. Helper scripts like: setup, run, teardown created. With that each job can create the required Ali oss bucket dynamically during execution and cleans them up afterward.
All secrets needed for provisioning these resources are stored under the secrets in GitHub.