Flash - async port of the Dash framework
Project description
Flash
Quart async Patch of Dash.
Flash is a async patch of the Plotly Dash library, building on Quart as backend instead of Flask. It is very inspired by the already existing dash-async repo, but covering all features up to Dash 2.18.2
Quarts async capabilities are directly baked into the standard library, making it easy to inject into existing projects.
Flash makes it possible to run true async callbacks and layout functions while running sync functions in a separate thread (asyncio.run_in_executor).
With dash-extensions you can create native websocket components and handle serverside events - making your application realtime compatible.
Installation
pip install dash-flash
Table of Contents
Motivation
One of the biggest pain points in Dash was handling database requests, which often required:
- Adding multiple callbacks to fetch a "lazy" component
- Rendering the real component only when the lazy component's ID appears
- Creating complex pattern matching callbacks for each component's data
Dash Flash addresses these challenges by:
- Ensuring I/O bound tasks don't block each other
- Better state management via the URL due to async layout functions
- Native websocket and HTTP/2 support
Future improvements may include:
- native Websocket component which spawns and manages the websocket itself
- LazyLoad component like dash-grocery, this will also increase responsiveness and overall better UI feeling
- shared callbacks / channel callbacks like dash-devices offered. Will most likly be implemented with redis PubSub
- ?? new routing system based on blueprints enabling parallel routes ??
A Notice
- Background callbacks must run synchronously
- For Dash testing, use
dash_duo_mpinstead ofdash_duo - currently not tested in prod, will soon on a basic K8s cluster running in a Docker container
Known Issues
- not all tests pass - detailed look in TEST_LOGS.md
- 10 integration tests
- 2 unit tests
Usage
modules that need to be imported from flash
from flash import (
Flash,
get_app,
register_page,
page_registry,
ctx,
set_props,
callback,
clientse_callback,
no_update,
page_container,
)
Modules that can be imported from flash but also from dash - seeking your feedback here, would you preffer to keep them separate or just import from flash?
from flash import (
Input,
Output,
State,
ClientsideFunction,
MATCH,
ALL,
ALLSMALLER,
get_asset_url,
get_relative_path,
strip_relative_path,
)
- Gather async functions in callback:
from flash import Flash, callback, Input, Output, html
from dash import _dash_renderer
import time
import asyncio
_dash_renderer._set_react_version("18.2.0")
external_scripts = ["https://unpkg.com/dash.nprogress@latest/dist/dash.nprogress.js"]
app = Flash(__name__, external_scripts=external_scripts)
class ids:
sync_btn_id = "sync-btn-id"
async_btn_id = "async-btn-id"
sync_output = "sync-output"
async_output = "async-output"
app.layout = html.Div(
[
html.Button("Sync", id=ids.sync_btn_id),
html.Button("Async", id=ids.async_btn_id),
html.Div(id=ids.sync_output)
html.Div(id=ids.async_output)
]
)
def long_running(sleep):
time.sleep(sleep)
async def long_running_async(sleep):
await asyncio.sleep(sleep)
@callback(
Output(ids.sync_output, "children"),
Input(ids.sync_btn_id, "n_clicks"),
prevent_initial_call=True
)
def update_sync(_):
start_time = time.perf_counter()
long_running(1)
long_running(0.7)
long_running(.5)
duration = time.perf_counter() - start_time
return duration
@callback(
Output(ids.async_output, "children"),
Input(ids.async_btn_id, "n_clicks"),
prevent_initial_call=True,
)
async def update_async(_):
start_time = time.perf_counter()
await asyncio.gather(
long_running_async(1),
long_running_async(0.7),
long_running_async(.5)
)
duration = time.perf_counter() - start_time
return duration
if __name__ == "__main__":
app.run(debug=True)
- websocket support with dash-extensions - (inspired by dash-async)
import asyncio
import random
from flash import Flash, Output, Input
from dash import html, dcc
from dash_extensions import WebSocket
from quart import websocket, json
app = Dash(__name__)
class ids:
websocket_id = "ws"
graph_id = "graph"
layout = html.Div([
WebSocket(id=ids.websocket_id, url="ws://127.0.0.1:8050/test-ws"),
dcc.Graph(id=ids.graph_id)
])
clientside_callback(
"""
function(msg) {
if (msg) {
const data = JSON.parse(msg.data);
return {data: [{y: data, type: "scatter"}]};
} else {
return window.dash_clientside.no_update;
}
}
""",
Output(ids.graph_id, "figure"),
[Input(ids.websocket_id, "message")],
)
@app.server.websocket("/test-ws")
async def ws():
while True:
output = json.dumps([random.randint(200, 1000) for _ in range(6)])
await websocket.send(output)
await asyncio.sleep(1)
if __name__ == "__main__":
app.run(debug=True)
TODO
- add Serverside Event example
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dash_flash-0.1.2rc1.tar.gz.
File metadata
- Download URL: dash_flash-0.1.2rc1.tar.gz
- Upload date:
- Size: 44.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.4 CPython/3.12.7 Darwin/23.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
eb88bebb099901ce0308c12cc9d3ff9278110f8db7368c5af1602c393898600e
|
|
| MD5 |
44d09a36b55b67b6f02bbf8fa2d54f45
|
|
| BLAKE2b-256 |
8c56ee592fb4af75b180ad29328bf41aa91e06d8d692939e90031e39809c1184
|
File details
Details for the file dash_flash-0.1.2rc1-py3-none-any.whl.
File metadata
- Download URL: dash_flash-0.1.2rc1-py3-none-any.whl
- Upload date:
- Size: 45.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.4 CPython/3.12.7 Darwin/23.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c9215e2501047ba13a86d5da2cecfb34ea3ef4cd6e2858ed1cd52e65be407ea8
|
|
| MD5 |
c5d9d86d4649d22956982dbbf33b72f0
|
|
| BLAKE2b-256 |
78b12014c6e689b85631ddf569231e61d4a64e080fb0ce349d52877eecd26778
|