python setup.py sdist
pip install flake8
flake8 .
docker-compose up -d
pytest
coverage run -m pytest
You can see coverage, thanks to coverage report, coverage xml, coverage html.
It is also possible to combine several coverage reports run with different python versions:
coverage3.6 run --parallel-mode -m pytest
coverage3.9 run --parallel-mode -m pytest
coverage combine
coverage report
Forest Admin provides an off-the-shelf administration panel based on a highly-extensible API plugged into your application.
This project has been designed with scalability in mind to fit requirements from small projects to mature companies.
- Apartmentlist
- Carbon Health
- Ebanx
- First circle
- Forest Admin of course :-)
- Heetch
- Lunchr
- Pillow
- Qonto
- Shadow
- And hundreds more…
https://docs.forestadmin.com/documentation/how-tos/setup/install
https://docs.forestadmin.com/documentation/
Forest Admin consists of two components:
- The Admin Frontend is the user interface where you'll manage your data and configuration.
- The Admin Backend API hosted on your servers where you can find and extend your data models and all the business logic (routes, actions, …) related to your admin panel.
The Forest Admin gem (aka Forest Liana) introspects all your data model and dynamically generates the Admin API hosted on your servers. The Forest Admin interface is a web application that handles communication between the admin user and your application data through the Admin API.
All of your CRUD operations are natively supported. The API automatically supports your data models' validation and allows you to easily extend or override any API routes' with your very own custom logic.
Forest Admin has a built-in search allowing you to run basic queries to retrieve your application's data. Set advanced filters based on fields and relationships to handle complex search use cases.
Sorting and pagination features are natively handled by the Admin API. We're continuously optimizing how queries are run in order to display results faster and reduce the load of your servers.
A custom action is a button which allows you to trigger an API call to execute a custom logic. With virtually no limitations, you can extend the way you manipulate data and trigger actions (e.g. refund a customer, apply a coupon, ban a user, etc.)
Sometimes you need to export your data to a good old fashioned CSV. Yes, we know this can come in handy sometimes :-)
Get in app access to a subset of your application data by doing a basic search or typing an SQL query or implementing an API route.
Forest Admin is able to tap into your actual data to chart out your metrics using a simple UI panel, a SQL query or a custom API call.
The WYSIWYG interface saves you a tremendous amount of frontend development time using drag'n'drop as well as advanced widgets to build customizable views.
Code your own views using JS, HTML, and CSS to display your application data in a more appropriate way (e.g. Kanban, Map, Calendar, Gallery, etc.).
Without any lines of code, manage directly from the UI who has access or can act on which data using a team-based permission system.
Leverage data from third-party services by reconciling it with your application’s data and providing it directly to your Admin Panel. All your actions can be performed at the same place, bringing additional intelligence to your Admin Panel and ensuring consistency.
Assign your teammates to specific tasks, leave a note or simply comment a record, thereby simplifying collaboration all across your organization.
Monitor each action executed and follow the trail of modification on any data with an extensive activity log system.
This repository is officially maintained by Forest Admin. We're always happy to get contributions for other fellow lumberjacks. All contributions will be reviewed by Forest Admin's team before being merged into main.
Here is the contribution workflow:
- Fork the repo on GitHub
- Clone the project to your own machine
- Commit changes to your own branch
- Push your work back up to your fork
- Submit a Pull request so that we can review your changes
Please ensure that the tests are passing before submitting any pull request:
$ docker-compose up -d
$ pytest
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