anta 1.0.0

Description:

anta 1.0.0

Arista Network Test Automation (ANTA) Framework



Code





License



GitHub



PyPi




ANTA is Python framework that automates tests for Arista devices.

ANTA provides a set of tests to validate the state of your network
ANTA can be used to:

Automate NRFU (Network Ready For Use) test on a preproduction network
Automate tests on a live network (periodically or on demand)


ANTA can be used with:

As a Python library in your own application
The ANTA CLI




Install ANTA library
The library will NOT install the necessary dependencies for the CLI.
# Install ANTA as a library
pip install anta

Install ANTA CLI
If you plan to use ANTA only as a CLI tool you can use pipx to install it.
pipx is a tool to install and run python applications in isolated environments. Refer to pipx instructions to install on your system.
pipx installs ANTA in an isolated python environment and makes it available globally.
This is not recommended if you plan to contribute to ANTA
# Install ANTA CLI with pipx
$ pipx install anta[cli]

# Run ANTA CLI
$ anta --help
Usage: anta [OPTIONS] COMMAND [ARGS]...

Arista Network Test Automation (ANTA) CLI

Options:
--version Show the version and exit.
--log-file FILE Send the logs to a file. If logging level is
DEBUG, only INFO or higher will be sent to
stdout. [env var: ANTA_LOG_FILE]
-l, --log-level [CRITICAL|ERROR|WARNING|INFO|DEBUG]
ANTA logging level [env var:
ANTA_LOG_LEVEL; default: INFO]
--help Show this message and exit.

Commands:
check Commands to validate configuration files
debug Commands to execute EOS commands on remote devices
exec Commands to execute various scripts on EOS devices
get Commands to get information from or generate inventories
nrfu Run ANTA tests on devices

You can also still choose to install it with directly with pip:
pip install anta[cli]

Documentation
The documentation is published on ANTA package website.
Contribution guide
Contributions are welcome. Please refer to the contribution guide
Credits
Thank you to Jeremy Schulman for aio-eapi.
Thank you to Angélique Phillipps, Colin MacGiollaEáin, Khelil Sator, Matthieu Tache, Onur Gashi, Paul Lavelle, Guillaume Mulocher and Thomas Grimonet for their contributions and guidances.