microsoft / microsoft/rag-experiment-accelerator
Reconstruct CI/CD pipeline for different scenarios including local and Azure ML execution
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Must have
Sprint 2
- Dominant language
- Python
- Stars
- 311
- Forks
- 111
- PR merge metrics
- No merged PRs in 30d
Description
Run sample data first.
Vary different settings in configs as they trigger different code to be run - to ensure coverage.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by running the sample data, then inspect the configuration settings that select different execution paths. Trace how local and Azure ML execution are currently invoked. Done means the CI/CD pipeline covers the identified scenarios and configuration combinations with sufficient test coverage.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- azure, python
- Domain
- ci-cd, cloud, devops
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100