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  • Forest Admin
  • Getting started
    • How it works
    • Quick start
      • Flask
      • Django
    • Create your agent
    • Troubleshooting
    • Migrating legacy agents
      • Pre-requisites
      • Recommendations
      • Migration steps
      • Code transformations
        • API Charts
        • Live Queries
        • Smart Charts
        • Route overrides
        • Smart Actions
        • Smart Fields
        • Smart Relationships
        • Smart Segments
  • Data Sources
    • Getting Started
      • Collection selection
      • Naming conflicts
      • Query interface and Native Queries
        • Fields and projections
        • Filters
        • Aggregations
    • Provided data sources
      • SQLAlchemy
      • Django
        • Polymorphic relationships
    • Write your own
      • Translation strategy
        • Structure declaration
        • Capabilities declaration
        • Read implementation
        • Write implementation
        • Intra-data source Relationships
      • Contribute
  • Agent customization
    • Getting Started
    • Actions
      • Scope and context
      • Result builder
      • Static Forms
      • Widgets in Forms
      • Dynamic Forms
      • Form layout customization
      • Related data invalidation
    • Charts
      • Value
      • Objective
      • Percentage
      • Distribution
      • Leaderboard
      • Time-based
    • Fields
      • Add fields
      • Move, rename and remove fields
      • Override binary field mode
      • Override writing behavior
      • Override filtering behavior
      • Override sorting behavior
      • Validation
    • Hooks
      • Collection hook
      • Collection override
    • Pagination
    • Plugins
      • Write your own
    • Relationships
      • To a single record
      • To multiple records
      • Computed foreign keys
      • Under the hood
    • Search
    • Segments
  • Frontend customization
    • Smart Charts
      • Create a table chart
      • Create a bar chart
      • Create a cohort chart
      • Create a density map
    • Smart Views
      • Create a Map view
      • Create a Calendar view
      • Create a Shipping view
      • Create a Gallery view
      • Create a custom tinder-like validation view
      • Create a custom moderation view
  • Deploying to production
    • Environments
      • Deploy on AWS
      • Deploy on Heroku
      • Deploy on GCP
      • Deploy on Ubuntu
    • Development workflow
    • Using branches
    • Deploying your changes
    • Forest Admin CLI commands
      • init
      • login
      • branch
      • switch
      • set-origin
      • push
      • environments:create
      • environments:reset
      • deploy
  • Under the hood
    • .forestadmin-schema.json
    • Data Model
      • Typing
      • Relationships
    • Security & Privacy
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  1. Getting started

How it works

This is the official documentation of the forestadmin-agent-django and forestadmin-agent-flask Python agents.

Before you start writing a single line of code, it’s a good idea to get an overview of how Forest Admin works. The magic lies in its architecture.

Forest Admin provides you with:

  • An API, hosted on your server, to retrieve your data. We call it the Agent. It can be a standalone project or embedded within your app.

  • A user interface, to access and manage your data from your browser. This Forest Admin User Interface is built and managed through resources hosted on Forest Admin's servers.

The agent

The agent is generated upon installation and hosted on your end.

It includes an API allowing you to translate calls made from the Forest Admin UI into queries to your database (covering actions such as CRUD, search & filters, pagination, sorting, etc.).

It also provides the Forest Admin servers with the information needed to build the User Interface (the Forest Admin Schema). This information includes table names, column names and types, and relationships. It is sent when you run your agent within a file called forestadmin-schema.json.

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Last updated 1 year ago

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