Nautobot's Welcome Wizard
Project description
Welcome Wizard
A plugin for Nautobot.
Installation
The plugin is available as a Python package in pypi and can be installed with pip
pip install nautobot-welcome-wizard
The plugin is compatible with Nautobot 1.0.0b4 and higher
To ensure Welcome Wizard is automatically re-installed during future upgrades, create a file named local_requirements.txt
(if not already existing) in the Nautobot root directory (alongside requirements.txt
) and list the nautobot-welcome-wizard
package:
# echo nautobot-welcome-wizard >> local_requirements.txt
Once installed, the plugin needs to be enabled in your configuration.py
# In your configuration.py
PLUGINS = ["welcome_wizard"]
# PLUGINS_CONFIG = {
# "welcome_wizard": {
# "enable_devicetype-library": True
# }
# }
The plugin behavior can be controlled with the following list of settings:
enable_devicetype-library
: If enabled the device type git repository will be automatically added for you.
Usage
Log in to Nautobot and you will be guided through Banners on the top of the pages.
Contributing
Pull Requests are welcome and automatically built and tested against multiple versions of Python and Nautobot through TravisCI.
The project is packaged with a light development environment based on docker-compose
to help with the local development of the project and to run the tests within TravisCI.
The project is following Network to Code's software development guideline and is leveraging:
- Black, Pylint, Bandit and pydocstyle for Python linting and formatting.
- Django unit test to ensure the plugin is working properly.
Development Environment
The development environment can be used in 2 ways. First, with a local poetry environment if you wish to develop outside of docker, and second, inside of a docker container. The below commands will start the Nautobot server listening on port 8080.
Local Poetry Development Environment
- Copy
development/creds.example.env
todevelopment/creds.env
(This file will be ignored by git and docker) - Uncomment the
POSTGRES_HOST
,REDIS_HOST
, andNAUTOBOT_ROOT
variables indevelopment/creds.env
- Create an invoke.yml with the following contents at the root of the repo:
---
welcome_wizard:
local: true
compose_files:
- "docker-compose.requirements.yml"
- Run the following commands:
poetry shell
poetry install
export $(cat development/dev.env | xargs)
export $(cat development/creds.env | xargs)
- You can now run nautobot-server commands as you would from the Nautobot documentation. For example, to start the development server:
nautobot-server runserver 0.0.0.0:8080 --insecure
Docker Development Environment
This project is managed by Python Poetry and has a few requirements to setup your development environment:
- Install Poetry, see the Poetry Documentation for your operating system.
- Install Docker, see the Docker documentation for your operating system.
Once you have Poetry and Docker installed you can run the following commands to install all other development dependencies in an isolated python virtual environment:
poetry shell
poetry install
invoke start
CLI Helper Commands
The project includes a CLI helper based on invoke to help setup the development environment. The commands are listed below in 3 categories dev environment
, utility
and testing
.
Each command can be executed with invoke <command>
. Environment variables INVOKE_WELCOME_WIZARD_PYTHON_VER
and INVOKE_WELCOME_WIZARD_NAUTOBOT_VER
may be specified to override the default versions. Each command also has its own help invoke <command> --help
Docker dev environment
build Build all docker images.
debug Start Nautobot and its dependencies in debug mode.
destroy Destroy all containers and volumes.
restart Restart Nautobot and its dependencies.
start Start Nautobot and its dependencies in detached mode.
stop Stop Nautobot and its dependencies.
Utility
cli Launch a bash shell inside the running Nautobot container.
create-user Create a new user in django (default: admin), will prompt for password.
makemigrations Run Make Migration in Django.
nbshell Launch a nbshell session.
Testing
bandit Run bandit to validate basic static code security analysis.
black Run black to check that Python files adhere to its style standards.
flake8 This will run flake8 for the specified name and Python version.
pydocstyle Run pydocstyle to validate docstring formatting adheres to NTC defined standards.
pylint Run pylint code analysis.
tests Run all tests for this plugin.
unittest Run Django unit tests for the plugin.
Questions
For any questions or comments, please check the FAQ first and feel free to swing by the Network to Code slack channel (channel #networktocode). Sign up here
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