Skip to main content

Turning ideas into web app fast.

Project description

flect

Turning ideas into web app fast.

Test pypi versions license

Explore the docs »

Report Bug · Request Feature · 简体中文

What is flect?

flect is a Python framework for building full-stack web applications. It constructs user interfaces by utilizing Pydantic models in the backend that correspond to the properties of React components in the frontend. This integration enables quick development of interactive and beautiful UIs using Python.

The key features are:

  • Fast development: Write your entire app with Python, seamlessly integrating backend logic and frontend UI.
  • Easy Form Validation: Define a single Pydantic model for seamless and consistent form validation across your app, enhancing development speed and reducing potential errors.
  • Folder-Based Routing: Easy route management through folder structure.
  • Client-Side Routing: Fast, smooth page transitions without reloads.
  • SEO Friendly: Supports server-side rendering for better search engine visibility.
  • Custom Components: You can conveniently use your own built React components in flect.

You can also view the documentation website, which is completely built with flect, source code can be found here.

Why use flect?

flect enables developers to harness the combined power of Python and JavaScript ecosystems, facilitating the creation of web applications with efficiency and ease:

If you're a Python developer — you can build responsive web applications using React without writing a single line of JavaScript, or touching npm.

If you're a frontend developer — you can concentrate on building magical components that are truly reusable, no copy-pasting components for each view.

For everyone — a true separation of concerns, the backend defines the entire application; while the frontend is free to implement just the user interface.

From FastUI

Example

In this example, we will demonstrate how to build a simple to-do application using flect. As flect is built on top of FastAPI, so you can define your routes using FastAPI’s syntax.

Note: In real-world flect applications, define page routes and post routes in separate files for better organization.

Below is a simple to-do application.

import json
from typing import Optional

from fastapi.encoders import jsonable_encoder
from pydantic import BaseModel
from flect import PageResponse, ActionResponse
from flect import components as c
from flect import form as f
from flect.actions import Notify

# Define a model for creating new todo items with a single 'task' field
class TodoInCreate(BaseModel):
    task: str = f.Input(placeholder="Enter task...")

# Define a model for todo items stored in the database, extending the creation model with an 'id' and 'completed' field
class TodoInDB(TodoInCreate):
    id: int
    completed: Optional[bool] = False

# Initialize a list of todo items
todos = [
    TodoInDB(id=1, task="Task 1", completed=False),
    TodoInDB(id=2, task="Task 2", completed=True),
    TodoInDB(id=3, task="Task 3", completed=False),
]

# Define the page
async def page() -> PageResponse:
    return PageResponse(
        body=c.Container(
            # support tailwind css
            class_name="container mx-auto px-32 py-10",
            children=[
                # Add a heading to the page
                c.Heading(
                    level=1,
                    text="Todo App",
                    class_name="text-3xl mb-10",
                ),
                # Add a form for creating new todo items
                c.Form(
                    model=TodoInCreate,
                    submit_url="/",
                    class_name="mb-5 border p-5",
                ),
                # Add a table displaying all todo items
                c.Table(
                    datasets=todos,
                    class_name="border p-5",
                    model=TodoInDB
                )
            ]
        )
    )

# Define the form handling logic
async def post(form: TodoInCreate) -> ActionResponse:
    todos.append(
        TodoInDB(
            id=len(todos) + 1,
            task=form.task,
            completed=False,
        )
    )
    # Return a notification with the submitted form values
    return ActionResponse(
        action=Notify(
            title="You submitted the following values:",
            description=json.dumps(jsonable_encoder(form), indent=2),
        )
    )

Which renders like this: flect-todo

Learn More

Credits

This project draws inspiration from the following frameworks:

License

This project is licensed under the terms of the MIT license.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

flect-0.2.10.tar.gz (18.8 kB view details)

Uploaded Source

Built Distribution

flect-0.2.10-py3-none-any.whl (23.6 kB view details)

Uploaded Python 3

File details

Details for the file flect-0.2.10.tar.gz.

File metadata

  • Download URL: flect-0.2.10.tar.gz
  • Upload date:
  • Size: 18.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.2

File hashes

Hashes for flect-0.2.10.tar.gz
Algorithm Hash digest
SHA256 8c5f12863c8b4d68f6338cdd41513334559276add6f9c49c4772dcb1d884a367
MD5 548430cd7d0c6b47e20ffb819d17f79e
BLAKE2b-256 6e7d2de4dd1e80b32497f4b9063ac8dd46ba32e82e2f1f0ea9a3a5d8354971c4

See more details on using hashes here.

File details

Details for the file flect-0.2.10-py3-none-any.whl.

File metadata

  • Download URL: flect-0.2.10-py3-none-any.whl
  • Upload date:
  • Size: 23.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.2

File hashes

Hashes for flect-0.2.10-py3-none-any.whl
Algorithm Hash digest
SHA256 c87c0c4a19ccc8a6f1e6fb86a90ce2270f45bf40f9df9f471ef32d1c45a72d5e
MD5 a84ebd6dad91d9364fd8b08bd8080903
BLAKE2b-256 54bd200a0cc276be6ede47fd56e79fc9b7edfc11be32051c33c0872005dec4ab

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page