nucleus

Nucleus is a software platform used to create workflows for the Planetary Data (PDS).

https://github.com/nasa-pds/nucleus

Science Score: 59.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
    3 of 7 committers (42.9%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.5%) to scientific vocabulary

Keywords

data ingestion pds planetary workflow

Keywords from Contributors

archive geometry planetary-science spice mesh interpretability sequences projection interactive optim
Last synced: 6 months ago · JSON representation

Repository

Nucleus is a software platform used to create workflows for the Planetary Data (PDS).

Basic Info
Statistics
  • Stars: 0
  • Watchers: 7
  • Forks: 0
  • Open Issues: 25
  • Releases: 4
Topics
data ingestion pds planetary workflow
Created over 4 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog License Codeowners Security Zenodo Notice

README.md

Nucleus

DOI

PDS Nucleus is a software platform used to create workflows for managing data archives.

User Documentation

Please visit the documentation at: https://nasa-pds.github.io/doi-service/

Developers

Prerequisites

  • Python 3.9 or above
  • Access to Planetary Data Cloud

Test

TBD

Deploy

See in this repository:

https://github.com/NASA-PDS/nucleus/tree/main/terraform

Documentation Management

Documentation about the documentation is described in this section.

Design

See in this repository:

https://github.com/NASA-PDS/nucleus/tree/main/docs

or the docs directory in the source package.

User Documentation

User documentation is managed with Sphinx, which is also installed in your Python virtual environment when you run pip install --editable .[dev]:

python3 -m venv venv
source venv/bin/activate
pip install -e '.[dev]'
sphinx-build -b html docs/source docs/build/html

Publish the pages on gh-pages branch

Secret Detection

The following commands can be used to detect secrets in the code.

1) Setup a pythion virtual environment.

shell mkdir ~/Tools python3 -m venv ~/Tools/detect-secrets source ~/Tools/detect-secrets/bin/activate pip install git+https://github.com/NASA-AMMOS/slim-detect-secrets.git@exp

2) Execute the following command in Nucleus root directory to scan the code for secrets.

shell detect-secrets scan --disable-plugin AbsolutePathDetectorExperimental \ --exclude-files '\.secrets\..*' \ --exclude-files '\.git.*' \ --exclude-files '\.pre-commit-config\.yaml' \ --exclude-files '\.mypy_cache' \ --exclude-files '\.pytest_cache' \ --exclude-files '\.tox' \ --exclude-files '\.venv' \ --exclude-files 'venv' \ --exclude-files 'dist' \ --exclude-files 'build' \ --exclude-files '.*\.egg-info' \ --exclude-files '.*\.tfstate' \ --exclude-files '.*\.tfvars' > .secrets.baseline

3) Execute the following command in Nucleus root directory to audit the possible secrets detected.

shell detect-secrets audit .secrets.baseline

This will create a .secrets.baseline in Nucleus root directory. Commit and push that file, in order to pass the checks in GitHub during a pull request.

Owner

  • Name: NASA Planetary Data System Software
  • Login: NASA-PDS
  • Kind: organization
  • Email: pds-operator@jpl.nasa.gov

GitHub Events

Total
  • Create event: 20
  • Issues event: 40
  • Release event: 1
  • Delete event: 17
  • Issue comment event: 177
  • Push event: 116
  • Pull request review event: 30
  • Pull request review comment event: 14
  • Pull request event: 23
Last Year
  • Create event: 20
  • Issues event: 40
  • Release event: 1
  • Delete event: 17
  • Issue comment event: 177
  • Push event: 116
  • Pull request review event: 30
  • Pull request review comment event: 14
  • Pull request event: 23

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 334
  • Total Committers: 7
  • Avg Commits per committer: 47.714
  • Development Distribution Score (DDS): 0.114
Past Year
  • Commits: 195
  • Committers: 4
  • Avg Commits per committer: 48.75
  • Development Distribution Score (DDS): 0.036
Top Committers
Name Email Commits
Ramesh Maddegoda 9****a 296
Jordan Padams 3****s 16
dependabot[bot] 4****] 7
Sean Kelly k****y@s****z 5
Sagar Joshi s****i@j****v 5
thomas loubrieu t****u@j****v 4
thomas loubrieu 6****l 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 85
  • Total pull requests: 54
  • Average time to close issues: 4 months
  • Average time to close pull requests: 5 days
  • Total issue authors: 4
  • Total pull request authors: 6
  • Average comments per issue: 3.82
  • Average comments per pull request: 1.48
  • Merged pull requests: 48
  • Bot issues: 0
  • Bot pull requests: 9
Past Year
  • Issues: 29
  • Pull requests: 24
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 3 days
  • Issue authors: 2
  • Pull request authors: 2
  • Average comments per issue: 2.52
  • Average comments per pull request: 2.58
  • Merged pull requests: 22
  • Bot issues: 0
  • Bot pull requests: 2
Top Authors
Issue Authors
  • jordanpadams (46)
  • ramesh-maddegoda (29)
  • tloubrieu-jpl (4)
  • viviant100 (3)
Pull Request Authors
  • ramesh-maddegoda (51)
  • dependabot[bot] (17)
  • sjoshi-jpl (3)
  • tloubrieu-jpl (1)
  • jordanpadams (1)
Top Labels
Issue Labels
i&t.skip (57) task (38) sprint-backlog (25) theme (18) B14.0 (16) Epic (16) requirement (15) B14.1 (15) p.must-have (15) B15.0 (14) B15.1 (14) B16 (11) needs:triage (8) bug (8) icebox (5) B13.1 (3) p.should-have (2) s.medium (2) needs:receivable (1) p.could-have (1) s.high (1) open.v0.2.0 (1) B13.0 (1) enhancement (1)
Pull Request Labels
needs:dependency (15) github_actions (11) terraform (5) dependencies (2)

Dependencies

.github/workflows/terraform-cicd.yaml actions
  • actions/checkout v3 composite
  • aws-actions/configure-aws-credentials v2 composite
  • hashicorp/setup-terraform v2 composite
project-specific/s3-to-efs/Dockerfile docker
  • ubuntu 18.04 build
pyproject.toml pypi
setup.py pypi
terraform/terraform-modules/mwaa-env/requirements.txt pypi
  • apache-airflow-providers-amazon ==2.4.3
  • apache-airflow-providers-docker ==3.1.0
.github/workflows/codeql-analysis.yml actions
  • actions/checkout v3 composite
  • actions/upload-artifact v3 composite
  • github/codeql-action/analyze v2 composite
  • github/codeql-action/autobuild v2 composite
  • github/codeql-action/init v2 composite
.github/workflows/secrets-detection.yaml actions
  • actions/checkout v4 composite