PlasmaPy / PlasmaPy/pyfaradaycup
Incorporate dbprocessing into pipeline?
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1
- Forks
- 1
- Avg merge
- 18h 31m
- Merged PRs (30d)
- 20
Description
One tool that could potentially help us is dbprocessing:
dbprocessing automates the routine data processing needs arising in every Heliophysics mission. This Python-based, database-driven process controller uses the arrival of new data to automatically execute relevant processing codes, providing updated files for all possible data products.
Since the docs describe dbprocessing as being "in early" beta, we'd need the participation of a developer. There's a chance we'd also need to help out a bit with package maintenance there, for example if it doesn't end up working with a new version of a dependency, or there's a capability we need that it doesn't yet have. I'll be looking into this.
See also the dbprocessing documentation.
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 with the linked dbprocessing documentation and inspect the existing Faraday Cup data pipeline in this repository. Determine whether dbprocessing can meet the pipeline's needs, including dependency compatibility and any required capabilities. Done would require a documented integration plan or a clear decision about feasibility; no specific file or test is named.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-engineering
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100