PlasmaPy / PlasmaPy/pyfaradaycup

Incorporate dbprocessing into pipeline?

Open
#21 1 comment 0 reactions 0 assignees View on GitHub

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

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. 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

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.