Skip to main content

SwanCuller

JupyterHub service that checks and cleans user sessions. It also calls bash scripts to check/renew kerberos tokens for the users, if their sessions still exist, or remove them if not in use.

Requirements

This module requires and installs Tornado.

Installation

Install the package:

pip install swanculler

Usage

Call the binary and specify configuration parameters:

swanculler --cull_every=600

Configuration parameters:

  • url: The JupyterHub API URL (default=$JUPYTERHUB_API_URL)
  • timeout: The idle timeout (in seconds) (default=600)
  • cull_every: The interval (in seconds) for checking for idle servers to cull (default=0)
  • max_age: The maximum age (in seconds) of servers that should be culled even if they are active (default=0)
  • cull_users: Cull users in addition to servers (default=False)
  • concurrency: Limit the number of concurrent requests made to the Hub (default=10)
  • hooks_dir: Path to the directory for the krb tickets script (check_ticket.sh) (default="/srv/jupyterhub/culler)
  • disable_hooks: Whether to call the krb tickets scripts or not (default=False)

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

swanculler-1.0.1.tar.gz (9.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

swanculler-1.0.1-py3-none-any.whl (8.6 kB view details)

Uploaded Python 3

File details

Details for the file swanculler-1.0.1.tar.gz.

File metadata

  • Download URL: swanculler-1.0.1.tar.gz
  • Upload date:
  • Size: 9.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for swanculler-1.0.1.tar.gz
Algorithm Hash digest
SHA256 d1e92dbafd4e589d31c2981d1f55db94f295f26290a6482b123f316feaa7832b
MD5 7073ada36df0eaba542754e039e4af73
BLAKE2b-256 394d505b8651f0eecf24080e66b2ab4caa7cf18fab3cf0be96e7c53dfe38cfc5

See more details on using hashes here.

File details

Details for the file swanculler-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: swanculler-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 8.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for swanculler-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 7f0c71a23cfb56e643c4c61105b9701f0a118e5c039b366abd7fa6958010a57b
MD5 4ba4346aed1591006a2596ef1c8bc674
BLAKE2b-256 8f75b631ae83fab1ed36bf46c575fa3ab444e9619af6e462866daac9f83e2b9b

See more details on using hashes here.

Release history Release notifications | RSS feed

1.0.7

2 files

1.0.6

2 files

1.0.5

2 files

1.0.4

2 files

1.0.3

2 files

1.0.2

2 files

This release

1.0.1 This release

2 files

1.0.0

2 files

0.0.3

2 files

0.0.2

2 files

0.0.1

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page