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Remove python3.7 from setup.cfg, since Wallaby's python
supported runtimes are python 3.6 and python 3.8[1]:

[1]: https://governance.openstack.org/tc/reference/runtimes/wallaby.html

Change-Id: I3a8dbb2ed4c257b7204ea9632b75eff6783168ba

2021-01-04 10:28:15 +08:00

api-ref/source

Initialize the Venus project

2020-11-11 08:19:55 +00:00

doc

Initialize the Venus project

2020-11-11 08:19:55 +00:00

etc/venus

fix json file formmat in policy.json

2021-01-03 16:27:37 +08:00

releasenotes

remove unicode from code

2021-01-03 16:08:28 +08:00

tools/config

Initialize the Venus project

2020-11-11 08:19:55 +00:00

venus

test

2021-01-03 16:13:25 +08:00

.gitignore

Add git ignore files

2020-12-17 16:56:56 +08:00

.gitreview

Added .gitreview

2020-11-10 02:23:44 +00:00

.zuul.yaml

Add pep8 job for venus

2020-11-11 09:03:11 +00:00

CONTRIBUTING.rst

fix the spelling mistake

2020-12-17 14:07:31 +08:00

HACKING.rst

Initialize the Venus project

2020-11-11 08:19:55 +00:00

LICENSE

Initialize the Venus project

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MANIFEST.in

Initialize the Venus project

2020-11-11 08:19:55 +00:00

README.bak.rst

Rename readme file

2020-11-20 07:38:37 +00:00

README.rst

Hello Venus

2020-11-25 01:11:18 +00:00

requirements.txt

remove six in venus/common/utils.py, add urlib3 in requirement.txt

2020-12-22 18:04:03 -08:00

setup.cfg

remove py37

2021-01-04 10:28:15 +08:00

setup.py

Initialize the Venus project

2020-11-11 08:19:55 +00:00

test-requirements.txt

Initialize the Venus project

2020-11-11 08:19:55 +00:00

tox.ini

fix the spelling mistake

2020-12-17 14:07:31 +08:00

README.rst

Hello Venus

An OpenStack Log Management Service.

About Venus

In light of the problems and needs of retrieval, storage and analysis etc. of logs on the OpenStack platform, we developed the OpenStack log management module Venus.

This project can provide a one-stop solution to log collection, cleaning, indexing, analysis, alarm, visualization, report generation and other needs, which involves helping operator or maintainer to quickly solve retrieve problems, grasp the operational health of the platform, and improve the level of platform management.

Additionally, this project plans to use machine learning algorithms to quickly locate IT failures and root causes, and improve operation and maintenance efficiency.