Python Developer Guide
Other documentationsDemoCommunityGitHub
  • 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
Powered by GitBook
On this page
  • Disabling operators
  • Substitution
  • Operators to support to enable the search
  • Emulation

Was this helpful?

  1. Agent customization
  2. Fields

Override filtering behavior

PreviousOverride writing behaviorNextOverride sorting behavior

Last updated 1 year ago

Was this helpful?

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

You may want to read about the following topics before using those features:

Disabling operators

Disabling filtering can be made without any code .

Substitution

Operation substitution can be used for two motives:

  • Performance: provide a more efficient way to perform a given filtering operation

  • Capabilities: enable filtering on a computed field or other non-filterable fields

from forestadmin.datasource_toolkit.context.collection_context import CollectionCustomizationContext
from forestadmin.datasource_toolkit.interfaces.query.condition_tree.nodes.base import ConditionTree
from forestadmin.datasource_toolkit.interfaces.query.condition_tree.nodes.branch import ConditionTreeBranch
from forestadmin.datasource_toolkit.interfaces.query.condition_tree.nodes.leaf import ConditionTreeLeaf

async def full_name_equal_fn(
    value, context: CollectionCustomizationContext
) -> ConditionTree:
    first_name, last_names = value.split(" ", 1)
    return ConditionTreeBranch(
        "and",
        [
            ConditionTreeLeaf("firstName", "equal", first_name),
            ConditionTreeLeaf("lastName", "equal", last_names),
        ],
    )

collection.replace_field_operator("fullName", "equal", full_name_equal_fn)

Operators to support to enable the search

Column Type
Operator to support

Number

Equal

Enum

Equal

String

IContains OR Contains OR Equal

Uuid

Equal

Emulation

Filtering emulation allows making fields filterable automatically. It is a convenient way to get things working quickly for Collections that have a low number of records (in the thousands at most).

This emulation forces the Agent to retrieve all the Collection records and compute the field values for each one of them. As a consequence, filtering emulation performance cost is linear with the number of records in the Collection, so activate it sparingly and with great care.

# Add support for all operators
collection.emulate_field_filtering("fullName")

# Add support for a single operator
collection.emulate_field_filtering("fullName", "equal")

You can use the method to unlock the operators.

replaceFieldOperator
in the field settings ↗
Structure of a ConditionTree
List of all filtering Operators
Operator equivalence system