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Py Populate Dcim

Project description

Py Populate Dcim



An App for Nautobot.

Overview

Developer Note: Add a long (2-3 paragraphs) description of what the App does, what problems it solves, what functionality it adds to Nautobot, what external systems it works with etc.

Screenshots

Developer Note: Add any representative screenshots of the App in action. These images should also be added to the docs/user/app_use_cases.md section.

Developer Note: Place the files in the docs/images/ folder and link them using only full URLs from GitHub, for example: ![Overview](https://raw.githubusercontent.com/autonaut/nautobot-app-py-populate-dcim/develop/docs/images/app-overview.png). This absolute static linking is required to ensure the README renders properly in GitHub, the docs site, and any other external sites like PyPI.

More screenshots can be found in the Using the App page in the documentation. Here's a quick overview of some of the app's added functionality:

Try it out!

Developer Note: Only keep this section if appropriate. Update link to correct sandbox.

This App is installed in the Nautobot Community Sandbox found over at demo.nautobot.com!

For a full list of all the available always-on sandbox environments, head over to the main page on networktocode.com.

Documentation

Full documentation for this App can be found over on the Nautobot Docs website:

Contributing to the Documentation

You can find all the Markdown source for the App documentation under the docs folder in this repository. For simple edits, a Markdown capable editor is sufficient: clone the repository and edit away.

If you need to view the fully-generated documentation site, you can build it with MkDocs. A container hosting the documentation can be started using the invoke commands (details in the Development Environment Guide) on http://localhost:8001. Using this container, as your changes to the documentation are saved, they will be automatically rebuilt and any pages currently being viewed will be reloaded in your browser.

Any PRs with fixes or improvements are very welcome!

Questions

For any questions or comments, please check the FAQ first. Feel free to also swing by the Network to Code Slack (channel #nautobot), sign up here if you don't have an account.

Developing

This Nautobot app uses Poetry to manage its Python environment. Kick off your dev environment by creating and loading into a Python virtual environment with Poetry:

poetry lock && poetry install && poetry shell

After this, invoke can be used to start up the development environment. Invoke starts up the required PostgresQL DB and a few Nautobot workers for you using docker-compose.

invoke destroy && invoke build && invoke start

Dependencies

Two Python packages are included in the app's Poetry configuration (pyproject.toml) as PyPi packages. For development of the dependencies with hot-reload, replace the PyPi package with a directory configuration.

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