dash-pydantic-form 0.1.4

Create Dash forms from pydantic objects

Dash pydantic form

This package allows users to quickly create forms with Plotly Dash based on pydantic models.

Getting started

Install with pip

pip install dash-pydantic-form

Create a pydantic model you would like to display a form for.

Note: This package uses pydantic 2.

from datetime import date
from typing import Literal
from pydantic import BaseModel, Field

class Employee(BaseModel):
    first_name: str = Field(title="First name")
    last_name: str = Field(title="Last name")
    office: Literal["au", "uk", "us", "fr"] = Field(title="Office")
    joined: date = Field(title="Employment date")

Then you can get an auto-generated form with ModelForm, leveraging dash-mantine-components (version 0.14) for form inputs.

from dash_pydantic_form import ModelForm

# somewhere in your layout:
form = ModelForm(
    Employee,
    aio_id="employees",
    form_id="new_employee",
)

You can also render a pre-filled form by passing an instance of the data model rather than the class

# NOTE: This could come from a database
bob = Employee(first_name="Bob", last_name="K", office="au", joined="2020-05-20")

form = ModelForm(
    bob,
    aio_id="employees",
    form_id="bob",
)

You can then retrieve the contents of the whole form at once in a callback as follows

from dash import Input, Output, callback

@callback(
    Output("some-output-id", "some-output-attribute"),
    Input(ModelForm.ids.main("employees", "new_employee"), "data"),
)
def use_form_data(form_data: dict):
    try:
        print(Employee(**form_data))
    except ValidationError as exc:
        print("Could not validate form data:")
        print(exc.errors())
    return # ...

Customising inputs

The ModelForm will automaticlly pick which input type to use based on the type annotation for the model field. However, you can customise how each field input is rendered, and or pass additional props to the DMC component.

from dash_pydantic_form import ModelfForm, fields

form = ModelForm(
    Employee,
    aio_id="employees",
    form_id="new_employee",
    fields_repr={
        # Change the default from a Select to Radio items
        # NOTE: `description` can be set on pydantic fields as well
        "office": fields.RadioItems(description="Wich country office?"),
        # Pass additional props to the default input field
        "joined": {"input_kwargs": {"maxDate": "2024-01-01"}},
    },
)

List of current field inputs:

Based on DMC:

• Checkbox
• Checklist
• Color
• Date
• Json
• MultiSelect
• Number
• Password
• RadioItems
• Range
• SegmentedControl
• Select
• Slider
• Switch
• Textarea
• Text
• Time

Custom:

• EditableTable
• Model
• ModelList

Creating sections

There are 2 main avenues to create form sections:

1. Create a submodel in one of the model fields

class HRData(BaseModel):
    office: Literal["au", "uk", "us", "fr"] = Field(title="Office")
    joined: date = Field(title="Employment date")

class EmployeeNested(BaseModel):
    first_name: str = Field(title="First name")
    last_name: str = Field(title="Last name")
    hr_data: HRData = Field(title="HR data")

ModelForm will then recognise HRData as a pydantic model and use the fields.Model to render it, de facto creating a section.

2. Pass sections information to ModelForm

from dash_pydantic_form import FormSection, ModelForm, Sections

form = ModelForm(
    Employee,
    aio_id="employees",
    form_id="new_employee",
    sections=Sections(
        sections=[
            FormSection(name="General", fields=["first_name", "last_name"], default_open=True),
            FormSection(name="HR data", fields=["office", "joined"], default_open=False),
        ],
        # 3 render values are available: accordion, tabs and steps
        render="tabs",
    ),
)

List of nested models

Dash pydantic form also handles lists of nested models with the possibility to add/remove items from the list and edit each one.

Let's say we now want to record the employee's pets

1. ModelList

This creates a list of sub-forms each of which can take similar arguments as a ModelForm (fields_repr, sections).

class Pet(BaseModel):
    name: str = Field(title="Name")
    species: Literal["cat", "dog"] = Field(title="Species")
    age: int = Field(title="Age")

class Employee(BaseModel):
    first_name: str = Field(title="First name")
    last_name: str = Field(title="Last name")
    pets: list[Pet] = Field(title="Pets", default_factory=list)

form = ModelForm(
    Employee,
    aio_id="employees",
    form_id="new_employee",
    fields_repr={
        "pets": fields.ModelList(
            fields_repr={
                "species": {"options_labels": {"cat": "Cat", "dog": "Dog"}}
            },
            # 3 render_type options: accordion, list or modal
            render_type="accordion",
        )
    },
)

2. EditableTable

You can also represent the list of sub-models as an ag-grid table with fields.EditableTable.

form = ModelForm(
    Employee,
    aio_id="employees",
    form_id="new_employee",
    fields_repr={
        "pets": fields.EditableTable(
            fields_repr={
                "species": {"options_labels": {"cat": "Cat", "dog": "Dog"}}
            },
        )
    },
)

Make fields conditionnally visible

You can make field visibility depend on the value of other fields in the form. To do so, simply pass a visible argument to the field.

class Employee(BaseModel):
    first_name: str
    last_name: str
    only_bob: str | None = Field(
        title="Only for Bobs",
        description="What's your favourite thing about being a Bob?",
        default=None,
    )

form = ModelForm(
    Employee,
    aio_id="employees",
    form_id="new_employee",
    fields_repr={
        "only_bob": fields.Textarea(
            visible=("first_name", "==", "Bob"),
        )
    },
)

visible accepts a boolean, a 3-tuple or list of 3-tuples with format: (field, operator, value). The available operators are:

• "=="
• "!="
• "in"
• "not in"
• "array_contains"
• "array_contains_any"

NOTE: The field in the 3-tuples is a ":" separated path relative to the current field's level of nesting. If you need to reference a field from a parent or the root use the special values _parent_ or _root_.

E.g., visible=("_root_:first_name", "==", "Bob")

Discriminated unions

Dash pydantic form supports Pydantic discriminated unions with str discriminator

class HomeOffice(BaseModel):
    """Home office model."""

    type: Literal["home_office"]
    has_workstation: bool = Field(title="Has workstation", description="Does the employee have a suitable workstation")


class WorkOffice(BaseModel):
    """Work office model."""

    type: Literal["work_office"]
    commute_time: int = Field(title="Commute time", description="Commute time in minutes", ge=0)

class Employee(BaseModel):
    name: str = Field(title="Name")
    work_location: HomeOffice | WorkOffice | None = Field("Work location", default=None, discriminator="type")

form = ModelForm(
    Employee,
    aio_id="employees",
    form_id="new_employee",
    fields_repr={
        "work_location": {
            "fields_repr": {
                "type": fields.RadioItems(
                    options_labels={"home_office": "Home", "work_office": "Work"}
                )
            },
        },
    }
)

Creating custom fields

To be written