fandanGO-aria 2.2.6

A Python client library and CLI tool for interfacing with ARIA within the FandanGO ecosystem

fandanGO-aria

Intro

Welcome to the fandanGO-aria package.

This package allows the user to do the following:

• Metadata Deposition in ARIA
• Manage Access in ARIA

Please refer to our Wiki for full documentation.

Installation

Install via PYPI

pip install fandanGO-aria

Setup

Connections are configured in the .env file located in the root of your project.

Here, you will be required to complete the following:

All Connections

• ARIA_CONNECTION_LOGIN_URL
• ARIA_CONNECTION_GRANT_TYPE
• ARIA_CONNECTION_SCOPE
• ARIA_CLIENT_ID
• ARIA_CLIENT_SECRET
• ARIA_CONNECTION_REFRESH_GRANT
• DEV (Set to LIVE unless in development/beta)
• ARIA_FACILITY_ID

Caveats

The following env options are not neccessary and are mostly used for development :

• ARIA_CONNECTION_USERNAME : If a CLI user, this will remove the need to re-enter your login email
• ARIA_CONNECTION_PASSWORD : Similar to Email. Use with caution if on a communal computer.

Post Setup

If you've successfully completed the above setup options, you're ready to start using the package.

Note

This package uses Keyring to store token information securely. Keyring is usable accross multiple os and supports the following backends:

• macOS Keychain
• Freedesktop Secret Service supports many DE including GNOME (requires secretstorage)
• KDE4 & KDE5 KWallet (requires dbus)
• Windows Credential Locker

Linux

If problems arise when storing tokens on a Linux device, it may be required to download dbus-python.

Please use the dbus package to solve the issue

Security Scanning

This repo uses OSV Scanner for vulnerability detection.

When it runs:

• Daily at 03:00 UTC (full scan)
• On PRs targeting main (changed deps only)
• On push to main (full scan)

If vulnerabilities are found:

1. Check the Security tab for alerts
2. To ignore false positives, add entries to osv-scanner.toml:

   [[IgnoredVulns]]
   id = "GHSA-xxxx-xxxx-xxxx"
   reason = "Justification"
   

References:

• OSV Scanner docs
• GitHub Action
• OSV Database