Server-rendered form components and layout helpers for Pydantic models

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Project description

Pydantic SchemaForms

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Note: This project should be considered in beta as it is actively under development and may have breaking changes.

Overview

pydantic-schemaforms is a modern Python library that generates dynamic HTML forms from Pydantic 2.x+ models.

It is designed for server-rendered apps: you define a model (and optional UI hints) and get back ready-to-embed HTML with validation and framework styling.

Key Features:

🚀 Zero-Configuration Forms: Generate complete HTML forms directly from Pydantic models
🎨 Multi-Framework Support: Bootstrap, Material Design, Tailwind CSS, and custom frameworks
✅ Built-in Validation: Client-side HTML5 + server-side Pydantic validation
🔧 JSON-Schema-form style UI hints: Uses a familiar ui_element, ui_autofocus, ui_options vocabulary
📱 Responsive & Accessible: Mobile-first design with full ARIA support
🌐 Framework Ready: First-class Flask and FastAPI helpers, plus plain HTML for other stacks

Important: submit_url is required when rendering forms. The library does not choose a default submit target.

Documentation

Docs site: https://devsetgo.github.io/pydantic-schemaforms/
Live Demo: https://pydantic-schemaforms.devsetgo.com
Source: https://github.com/devsetgo/pydantic-schemaforms

Requirements

Python 3.14+
Pydantic 2.7+ (included in library)

Quick Start

Install

pip install pydantic-schemaforms

FastAPI (async / ASGI)

This is the recommended “drop-in HTML” pattern for FastAPI: define a FormModel and call render_form_html().

from fastapi import FastAPI, Request
from fastapi.responses import HTMLResponse
from pydantic import ValidationError

from pydantic_schemaforms.enhanced_renderer import render_form_html
from pydantic_schemaforms.schema_form import Field, FormModel


class MinimalLoginForm(FormModel):
    username: str = Field(
        title="Username",
        ui_autofocus=True,
        ui_placeholder="demo_user",
    )
    password: str = Field(
        title="Password",
        ui_element="password",
    )
    remember_me: bool = Field(
        default=False,
        title="Remember me",
        ui_element="checkbox",
    )


app = FastAPI()


@app.api_route("/login", methods=["GET", "POST"], response_class=HTMLResponse)
async def login(request: Request, style: str = "bootstrap"):
    form_data = {}
    errors = {}

    if request.method == "POST":
        submitted = dict(await request.form())
        form_data = submitted
        try:
            MinimalLoginForm(**submitted)
        except ValidationError as e:
            errors = {err["loc"][0]: err["msg"] for err in e.errors() if err.get("loc")}
    else:
        # optional demo data
        form_data = {"username": "demo_user", "remember_me": True}

    form_html = render_form_html(
        MinimalLoginForm,
        framework=style,
        form_data=form_data,
        errors=errors,
        submit_url="/login",
    )

    return f"""<!doctype html>
<html lang=\"en\">
<head>
  <meta charset=\"utf-8\">
  <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">
  <title>Login</title>
  <link href=\"https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css\" rel=\"stylesheet\">
</head>
<body class=\"container my-5\">
  <h1 class=\"mb-4\">Login</h1>
  {form_html}
</body>
</html>"""

Run it:

pip install "pydantic-schemaforms[fastapi]" uvicorn
uvicorn main:app --reload

FastAPI: simple registration page

This mirrors the in-repo example apps: your host page loads Bootstrap, and render_form_html() returns form markup (plus any inline helper scripts), ready to embed.

from fastapi import FastAPI, Request
from fastapi.responses import HTMLResponse
from pydantic import ValidationError

from pydantic_schemaforms.enhanced_renderer import render_form_html
from pydantic_schemaforms.schema_form import FormModel, Field


class UserRegistrationForm(FormModel):
    username: str = Field(title="Username", min_length=3)
    email: str = Field(title="Email", ui_element="email")
    password: str = Field(title="Password", ui_element="password", min_length=8)


app = FastAPI()


@app.api_route("/register", methods=["GET", "POST"], response_class=HTMLResponse)
async def register(request: Request):
    form_data = {}
    errors = {}

    if request.method == "POST":
        submitted = dict(await request.form())
        form_data = submitted
        try:
            UserRegistrationForm(**submitted)
        except ValidationError as e:
            errors = {err["loc"][0]: err["msg"] for err in e.errors() if err.get("loc")}

    form_html = render_form_html(
        UserRegistrationForm,
        framework="bootstrap",
        form_data=form_data,
        errors=errors,
        submit_url="/register",
    )

    return f"""<!doctype html>
<html lang=\"en\">
<head>
  <meta charset=\"utf-8\">
  <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">
  <title>Register</title>
  <link href=\"https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css\" rel=\"stylesheet\">
</head>
<body class=\"container my-5\">
  <h1 class=\"mb-4\">Register</h1>
  {form_html |safe}
</body>
</html>"""

Flask (sync / WSGI)

In synchronous apps (Flask), the simplest pattern is the same: define a FormModel and call render_form_html().

from flask import Flask, request
from pydantic import ValidationError

from pydantic_schemaforms.enhanced_renderer import render_form_html
from pydantic_schemaforms.schema_form import Field, FormModel


class MinimalLoginForm(FormModel):
    username: str = Field(title="Username", ui_autofocus=True)
    password: str = Field(title="Password", ui_element="password")
    remember_me: bool = Field(default=False, title="Remember me", ui_element="checkbox")


app = Flask(__name__)


@app.route("/login", methods=["GET", "POST"])
def login():
    form_data = {}
    errors = {}

    if request.method == "POST":
        submitted = request.form.to_dict()
        form_data = submitted
        try:
            MinimalLoginForm(**submitted)
        except ValidationError as e:
            errors = {err["loc"][0]: err["msg"] for err in e.errors() if err.get("loc")}

    form_html = render_form_html(
        MinimalLoginForm,
        framework="bootstrap",
        form_data=form_data,
        errors=errors,
        submit_url="/login",
    )

    return f"""<!doctype html>
<html lang=\"en\">
<head>
  <meta charset=\"utf-8\">
  <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">
  <title>Login</title>
  <link href=\"https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css\" rel=\"stylesheet\">
</head>
<body class=\"container my-5\">
  <h1 class=\"mb-4\">Login</h1>
  {form_html|safe}
</body>
</html>"""

Flask: simple registration page

from flask import Flask, request
from pydantic import ValidationError

from pydantic_schemaforms.enhanced_renderer import render_form_html
from pydantic_schemaforms.schema_form import FormModel, Field


class UserRegistrationForm(FormModel):
    username: str = Field(title="Username", min_length=3)
    email: str = Field(title="Email", ui_element="email")
    password: str = Field(title="Password", ui_element="password", min_length=8)


app = Flask(__name__)


@app.route("/register", methods=["GET", "POST"])
def register():
    form_data = {}
    errors = {}

    if request.method == "POST":
        submitted = request.form.to_dict()
        form_data = submitted
        try:
            UserRegistrationForm(**submitted)
        except ValidationError as e:
            errors = {err["loc"][0]: err["msg"] for err in e.errors() if err.get("loc")}

    form_html = render_form_html(
        UserRegistrationForm,
        framework="bootstrap",
        form_data=form_data,
        errors=errors,
        submit_url="/register",
    )

    return f"""<!doctype html>
<html lang=\"en\">
<head>
  <meta charset=\"utf-8\">
  <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">
  <title>Register</title>
  <link href=\"https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css\" rel=\"stylesheet\">
</head>
<body class=\"container my-5\">
  <h1 class=\"mb-4\">Register</h1>
  {form_html|safe}
</body>
</html>"""

UI vocabulary compatibility

The library supports a JSON-Schema-form style vocabulary (UI hints like input types and options), but you can also stay “pure Pydantic” and let the defaults drive everything.

See the docs site for the current, supported UI hint patterns.

Framework Support

Bootstrap 5 (Recommended)

UserForm.render_form(framework="bootstrap", submit_url="/submit")

Complete Bootstrap integration
Form validation states and styling
Responsive grid system
Custom form controls

Note: Bootstrap markup/classes are always generated, but Bootstrap CSS/JS are only included if your host template provides them or you opt into self_contained=True / include_framework_assets=True.

Self-contained Bootstrap (no host template assets)

If you want a single HTML string that includes Bootstrap CSS/JS inline (no CDN, no global layout requirements), use the self_contained=True convenience flag:

from pydantic_schemaforms.enhanced_renderer import render_form_html

form_html = render_form_html(
    UserRegistrationForm,
    framework=style,
    form_data=form_data,
    debug=debug,
    self_contained=True,
    submit_url="/register",
)

You can also call the FormModel convenience if you prefer:

form_html = UserRegistrationForm.render_form(
    data=form_data,
    framework=style,
    debug=debug,
    self_contained=True,
    submit_url="/register",
)

Material Design

UserForm.render_form(framework="material", submit_url="/submit")

Materialize CSS framework
Floating labels and animations
Material icons integration

Plain HTML

UserForm.render_form(framework="none", submit_url="/submit")

Clean HTML5 forms
No framework dependencies
Easy to style with custom CSS
FastAPI example support: append ?style=none (for example: /login?style=none&demo=true)

Renderer Architecture

EnhancedFormRenderer is the canonical renderer. It walks the Pydantic FormModel, feeds the shared LayoutEngine, and delegates chrome/assets to a RendererTheme.
ModernFormRenderer now piggybacks on Enhanced by generating a throwaway FormModel from legacy FormDefinition/FormField helpers. It exists so existing builder/integration code keeps working while still benefiting from the shared pipeline. (The old Py314Renderer alias has been removed; import ModernFormRenderer directly when you need the builder DSL.)

Because everything flows through Enhanced, fixes to layout, validation, or framework themes immediately apply to every renderer (Bootstrap, Material, embedded/self-contained, etc.). Choose the renderer based on the API surface you prefer (Pydantic models for FormModel or the builder DSL for ModernFormRenderer); the generated HTML is orchestrated by the same core engine either way.

Advanced Examples

File Upload Form

class FileUploadForm(FormModel):
    title: str = Field(..., description="Upload title")
    files: str = Field(
        ...,
        description="Select files",
        ui_element="file",
        ui_options={"accept": ".pdf,.docx", "multiple": True}
    )
    description: str = Field(
        ...,
        description="File description",
        ui_element="textarea",
        ui_options={"rows": 3}
    )

Event Creation Form

class EventForm(FormModel):
    event_name: str = Field(..., description="Event name", ui_autofocus=True)
    event_datetime: str = Field(
        ...,
        description="Event date and time",
        ui_element="datetime-local"
    )
    max_attendees: int = Field(
        ...,
        ge=1,
        le=1000,
        description="Maximum attendees",
        ui_element="number"
    )
    is_public: bool = Field(
        True,
        description="Make event public",
        ui_element="checkbox"
    )
    theme_color: str = Field(
        "#3498db",
        description="Event color",
        ui_element="color"
    )

Form Validation

from pydantic import ValidationError

@app.route("/submit", methods=["POST"])
def handle_submit():
    try:
        # Validate form data using your Pydantic model
        user_data = UserForm(**request.form)

        # Process valid data
        return f"Welcome {user_data.username}!"

    except ValidationError as e:
        # Handle validation errors
        errors = e.errors()
        return f"Validation failed: {errors}", 400

Flask Integration

Complete Flask application example:

from flask import Flask, request, render_template_string
from pydantic import ValidationError
from pydantic_schemaforms.schema_form import FormModel, Field

app = Flask(__name__)

class UserRegistrationForm(FormModel):
    username: str = Field(
        ...,
        min_length=3,
        max_length=20,
        description="Choose a unique username",
        ui_autofocus=True
    )
    email: str = Field(
        ...,
        description="Your email address",
        ui_element="email"
    )
    password: str = Field(
        ...,
        min_length=8,
        description="Choose a secure password",
        ui_element="password"
    )
    age: int = Field(
        ...,
        ge=13,
        le=120,
        description="Your age",
        ui_element="number"
    )
    newsletter: bool = Field(
        False,
        description="Subscribe to our newsletter",
        ui_element="checkbox"
    )

@app.route("/", methods=["GET", "POST"])
def registration():
    if request.method == "POST":
        try:
            # Validate form data
            user = UserRegistrationForm(**request.form)
            return f"Registration successful for {user.username}!"
        except ValidationError as e:
            errors = e.errors()
            # Re-render form with errors
            form_html = UserRegistrationForm.render_form(
                framework="bootstrap",
                submit_url="/",
                errors=errors
            )
            return render_template_string(BASE_TEMPLATE, form_html=form_html)

    # Render empty form
    form_html = UserRegistrationForm.render_form(framework="bootstrap", submit_url="/")
    return render_template_string(BASE_TEMPLATE, form_html=form_html)

BASE_TEMPLATE = """
<!DOCTYPE html>
<html>
<head>
    <title>User Registration</title>
    <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet">
</head>
<body>
    <div class="container my-5">
        <h1>User Registration</h1>
        {{ form_html | safe }}
    </div>
</body>
</html>
"""

if __name__ == "__main__":
    app.run(debug=True)

Render Timing

The library automatically measures form rendering time with multiple display options:

Display Timing Below Submit Button

Add a small timing display to your form:

html = render_form_html(MyForm, show_timing=True, submit_url="/submit")

This shows: Rendered in 0.0045s

Display in Debug Panel

Include comprehensive debugging information:

html = render_form_html(MyForm, debug=True, submit_url="/submit")

Shows timing in the debug panel header: Debug panel (development only) — 0.0045s render

Automatic INFO-Level Logging

Timing is always logged at INFO level:

import logging
logging.basicConfig(level=logging.INFO)

html = render_form_html(MyForm, submit_url="/submit")
# Logs: INFO pydantic_schemaforms.enhanced_renderer: Form rendered in 0.0045s

Use Cases:

Development: Use show_timing=True to see performance quickly
Debugging: Use debug=True to see form structure and timing
Production: Timing is logged automatically at INFO level for monitoring

See Render Timing Docs for complete details.

Application Logging

The library provides optional DEBUG-level logging that respects your application's logging configuration:

Automatic Timing Logs

Timing is always logged at INFO level (for production monitoring):

import logging
from pydantic_schemaforms import render_form_html

logging.basicConfig(level=logging.INFO)
html = render_form_html(MyForm, submit_url="/submit")
# Timing is logged automatically

Optional Debug Logs

Enable DEBUG logging to see detailed rendering steps:

import logging
from pydantic_schemaforms import render_form_html

# Option 1: Application-level DEBUG
logging.basicConfig(level=logging.DEBUG)
html = render_form_html(MyForm, submit_url="/submit")
# ✅ Timing + debug logs appear

# Option 2: Per-render control
html = render_form_html(MyForm, enable_logging=True, submit_url="/submit")
# ✅ Debug logs appear for this render only

Selective Logger Configuration

Enable library debugging without affecting your app's logging:

import logging

# Application at INFO level
logging.basicConfig(level=logging.INFO)

# Library DEBUG logs
library_logger = logging.getLogger('pydantic_schemaforms')
library_logger.setLevel(logging.DEBUG)

html = render_form_html(MyForm, submit_url="/submit")
# ✅ Library debug logs visible
# ✅ App remains at INFO level

Best Practice: Use Approach 1 (application-level configuration) in most cases. The library respects your app's logging setup.

See Application Logging Docs for complete details and integration examples.

Examples in This Repository

The main runnable demo in this repo is the FastAPI example:

Run: make ex-run
Visit: http://localhost:8000
Self-contained demo: http://localhost:8000/self-contained

See examples/fastapi_example.py and examples/shared_models.py for the complete implementation.

Logging and timing examples:

Timing Options Example - Display options for render timing
Timing Demo - Complete timing feature demonstration
Logging Example - Logging configuration patterns
Logging Control Example - Fine-grained logging control

Supported Input Types

Text Inputs:

text (default), email, password, search
tel, url
textarea

Numeric Inputs:

number, range

Date/Time Inputs:

date, time, datetime-local
week, month

Selection Inputs:

checkbox, radio, select

Specialized Inputs:

file, color, hidden

Input Options: All HTML5 input attributes are supported through ui_options or Field parameters.

API Reference

FormModel

Extend your Pydantic models with FormModel to add form rendering capabilities:

from pydantic_schemaforms.schema_form import FormModel, Field

class MyForm(FormModel):
    field_name: str = Field(..., ui_element="email")

# Render Bootstrap markup (expects host page to load Bootstrap)
html = MyForm.render_form(framework="bootstrap", submit_url="/submit")

# Render fully self-contained Bootstrap HTML (inlines vendored Bootstrap CSS/JS)
html = MyForm.render_form(framework="bootstrap", submit_url="/submit", self_contained=True)

Field Function

Enhanced Field function with UI element support:

Field(
    default=...,           # Pydantic default value
    description="Label",   # Field label
    ui_element="email",    # Input type
    ui_autofocus=True,     # Auto-focus field
    ui_options={...},      # Additional options
    # All standard Pydantic Field options...
)

Framework Options

"bootstrap" - Bootstrap 5 styling (recommended)
"material" - Material Design (Materialize CSS)
"none" - Plain HTML5 forms

Contributing

Contributions are welcome! Please check out the Contributing Guide for details.

Development Setup:

git clone https://github.com/devsetgo/pydantic-schemaforms.git
cd pydantic-schemaforms
pip install -e .

Run Tests:

python -m pytest tests/

License

This project is licensed under the MIT License - see the LICENSE file for details: https://github.com/devsetgo/pydantic-schemaforms/blob/main/LICENSE

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pydantic-schemaforms 26.1.8b0

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Pydantic SchemaForms

Overview

Documentation

Requirements

Quick Start

Install

FastAPI (async / ASGI)

FastAPI: simple registration page

Flask (sync / WSGI)

Flask: simple registration page

UI vocabulary compatibility

Framework Support

Bootstrap 5 (Recommended)

Self-contained Bootstrap (no host template assets)

Material Design

Plain HTML

Renderer Architecture

Advanced Examples

File Upload Form

Event Creation Form

Form Validation

Flask Integration

Render Timing

Display Timing Below Submit Button

Display in Debug Panel

Automatic INFO-Level Logging

Application Logging

Automatic Timing Logs

Optional Debug Logs

Selective Logger Configuration

Examples in This Repository

Supported Input Types

API Reference

FormModel

Field Function

Framework Options

Contributing

Links

License

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