python-eliot 1.13.0-1 source package in Ubuntu

Changelog

python-eliot (1.13.0-1) unstable; urgency=medium

  * Team upload.

  [ Ondřej Nový ]
  * d/control: Update Maintainer field with new Debian Python Team
    contact address.
  * d/control: Update Vcs-* fields with new Debian Python Team Salsa
    layout.

  [ Debian Janitor ]
  * Set upstream metadata fields: Bug-Database, Bug-Submit, Repository,
    Repository-Browse.
  * Update standards version to 4.5.0, no changes needed.
  * Bump debhelper from old 12 to 13.
  * Update standards version to 4.5.1, no changes needed.

  [ Andrius Merkys ]
  * New upstream version 1.13.0 (Closes: #994913)

 -- Andrius Merkys <email address hidden>  Wed, 29 Sep 2021 01:54:34 -0400

Upload details

Uploaded by:
Debian Python Team
Uploaded to:
Sid
Original maintainer:
Debian Python Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Mantic release universe misc
Lunar release universe misc
Jammy release universe misc

Builds

Jammy: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-eliot_1.13.0-1.dsc 2.1 KiB d00c50de473336cc82ffc1d1ab04c8590ee0ab7cad876f7cbecd36c42cd1606f
python-eliot_1.13.0.orig.tar.gz 149.6 KiB 5760194b308a7ab35514ae1b942d88e9f2359071556d82580383f09ca586fff7
python-eliot_1.13.0-1.debian.tar.xz 2.4 KiB 78b4e53b5df4651c90a1cc4798bc068778f35161397db0f58d23f091debe6ef9

Available diffs

No changes file available.

Binary packages built by this source

python3-eliot: logging library for Python that tells you why things happen

 Most logging systems tell you what happened in your application,
 whereas eliot also tells you why it happened.
 .
 eliot is a Python logging system that outputs causal chains of actions:
 actions can spawn other actions, and eventually they either succeed or fail.
 The resulting logs tell you the story of what your software did: what
 happened, and what caused it.
 .
 Eliot works well within a single process, but can also be used across
 multiple processes to trace causality across a distributed system.
 .
 Eliot is only used to generate your logs; you will still need tools like
 Logstash and ElasticSearch to aggregate and store logs if you are using
 multiple processes.