quart | Official mirror of https : //gitlab.com/pgjones/quart | Reactive Programming library
kandi X-RAY | quart Summary
kandi X-RAY | quart Summary
Official mirror of https://gitlab.com/pgjones/quart
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Top functions reviewed by kandi - BETA
- Register this blueprint
- Return the values of this request
- Creates a blueprintSetupState
- Appends data to the request
- List routes
- Load the app
- Determines if the QUART_DEBUG environment variable is running
- Get environment variable
- Add a function to be executed when a while serving
- Update template context
- Register a teardown app context
- Decorator to register an error handler
- Parse the response body
- Parse a multipart request
- Add a context processor to the blueprint
- Gracefully shutdown the server
- Add a before request
- Add a teardown request function to the app
- Wrap a function asynchronously
- Open a resource
- Create a URL adapter
- Add a teardown websocket function
- Add a before websocket function to the app
- Add an after request to the Blueprint
- Register a JSON tag
- Send JSON data
quart Key Features
quart Examples and Code Snippets
Lines of Code : 43License : Strong Copyleft (CC BY-SA 4.0)
Copyasync def capture_post_request(request_json):
for item in request_json:
print(item)
callbackidd = item.get('callbackid')
print(callbackidd) # will be None in case of the 2nd 'item'
{
@app.before_serving
async def startup():
app.client = aiohttp.ClientSession()
@app.get("/")
async def index():
await app.client.get(...)
"""
Demo codes for https://stackoverflow.com/questions/71417266
"""
import asyncio
from typing import Dict
import aiohttp
async def process_response_queue(queue: asyncio.Queue):
"""
Get json response data from queue.
Effecfrom quart import (
current_app,
has_request_context,
has_websocket_context,
request,
websocket,
)
from werkzeug.exceptions import Unauthorized
def api_key_required(
api_config_key: str = "API_KEY",
) -> Caldef run(
self,
host: Optional[str] = None,
port: Optional[int] = None,
debug: Optional[bool] = None,
use_reloader: bool = True,
loop: Optional[asyncio.AbstractEventLoop] = None,
ca_certs: Optional[str] = None,
from abc import ABC
from typing import cast
from uuid import uuid4
# Subclass of Request so we can add our own custom properties to the request context
class CorrelatedRequest(Request, ABC):
correlation_id: str = ""
def correlate_reasync with app.test_app() as test_app:
@pytest.fixture(name="test_app", scope="function")
async def _test_app(s3_client, tmp_path, async_mongodb):
os.environ["BLOB_STORE"] = str(tmp_path)
db_config['db'] = def LEC_system(u):
#x,y,z,w = u[:4]
U = u[4:20].reshape([4,4])
L = u[20:24]
f,Df = diff_Lorenz(u[:4])
A = U.T.dot(Df.dot(U))
dL = np.diag(A).copy();
for i in range(4):
A[i,i] = 0
for j in range(iasync def schedule():
while True:
await asyncio.sleep(1)
await do_work()
@app.before_serving
async def startup():
app.add_background_task(schedule)
#!/bin/bash --login
# The --login ensures the bash configuration is loaded,
# Temporarily disable strict mode and activate conda:
set +euo pipefail
conda activate ms-amazing-environment
# enable strict mode:
set -euo pipefail
# exec the Community Discussions
Trending Discussions on quart
QUESTION
Hey guys I am trying to run Quart in production.
That is my code: setups.py
...ANSWER
Answered 2021-Jun-09 at 20:47The app instance on the server module only exists when you invoke that module as the main module, which Hypercorn does not do. Instead you can invoke the factory function, hypercorn "server:create_app()".
You will likely want to move the db.init_app(app) line to within the create_app function (which I think you've called get_app_instance?) as it is also only called if you invoke server as the main module.
I don't think you need __package__ = 'nini', which may also cause an issue.
QUESTION
I have a Flask (It's not actually Flask, it's Quart, an asynchronous version of Flask with the same syntax and features) application that serves static files that are created temporarily by a command line tool. I want to delete the files after they have been served. I can do this with a normal route (not static) like so (pseudo-code, not tested):
...ANSWER
Answered 2021-May-01 at 18:00Solved it by creating a blueprint and letting it do all the lifting for static files. I'll make a suggestion to Flask and Quart to add an official version of this feature. If you're using Flask, not Quart, then change all the async defs to def
static_bp.py:
QUESTION
I'm trying to adjust the quartile lines in a seaborns violinplot. The violinplot is created from only a subset of the data, and I want
I want to "zoom in" to my violinplot, but show the actual quantile values from all original data.
How do I move the quantile lines and fit them into the violinplot? I guess I need the lower and upper bound at the given position x to fit my line into the plot?
...ANSWER
Answered 2021-Apr-30 at 11:27You can extract the Path of the violin and used that to clip the line.
QUESTION
Right now I'm trying to host a Quart web app on Heroku. Here is my test code:
...ANSWER
Answered 2021-Apr-22 at 00:02Set Procfile to web hypercorn -b 0.0.0.0:$PORT quartTest:app
If you're running a discord bot you'll have to change
bot.loop.create_task(app.run_task())
to
bot.loop.create_task(api.app.run_task(host='0.0.0.0', port=PORT))
QUESTION
I've got a model, with two forms. When a calf is scanned in, it gets one set of information, then when it's shipped out, it's a separate form with different information. For example when scanned in, it takes DOB and arrival date, when scanned out we need ship out date, milk consumed during it's stay(2 quarts per day), where it is going, and any medication while at the depot.
Right now I have the two forms below:
Now you can see when I try to update an entry I get an error that it already exists
Here is my view:
...ANSWER
Answered 2021-Apr-19 at 18:15Query the instance before saving and pass into ScanOutForm as keyword argument instance.
Like so:
QUESTION
Using Quart I am trying to receive data from one client via a websocket, then have the Quart websocket server send it to a different client via websocket.
The two clients will be alone sharing the same url, other pairs of clients will have their own urls. This echo test works for both clients individually:
...ANSWER
Answered 2021-Apr-17 at 11:15I think this snippet can form the basis of what you want to achieve. The idea is that rooms are a collection of queues keyed by the room id. Then each connected client has a queue in the room which any other clients put messages to. The send_task then runs in the background to send any messages to the client that are on its queue. I hope this makes sense,
QUESTION
I have a lot of quarter-hourly data (consumption versus time). I have to make averages on these data and I would have liked to display the averages according to the days of the week + time.
So I am looking to put on a graphic the day and the time at the same time. The expected result is possible in Excel but I'm looking to do it in python with matplotlib (and using dataframes).
If you have any idea, thanks a lot! Guillaume
Here is a code that displays a decent result but I would like better. I'm sorry but I can't put an image attached directly because I'm new on the forum.
...ANSWER
Answered 2021-Apr-07 at 05:10There are many possible approaches to this kind of task, but I used the text and plot functions to deal with it. to add the first date, I took the size of the graph and subtracted the offset value from the y0 value to determine the position. To add the first date, I took the size of the graph and subtracted an offset value from the y0 value, and for each date, I manually set the y1 value to position the vertical line.
PS: For a faster answer, I will present it even with unfinished code. Attach an image instead of a link. Attach the toy data in text. This is necessary.
QUESTION
I have made a web app using flask. The app works fine when I run it locally (Gunicorn not invloved at all) but when I deploy the app on Heroku, It raises the following TypeError in console.
...ANSWER
Answered 2021-Mar-29 at 19:32Flask is a WSGI framework, which works nicely with Gunicorn, a WSGI server. Quart however is an ASGI framework and hence requires an ASGI server. The Quart docs recommend the ASGI server Hypercorn.
QUESTION
I have developed a simple backend in Python, using Quart, Quart-CORS and SQLAlchemy. When I try the different endpoints on localhost with Postman, the CORS headers are correctly returned. As soon as I deploy it on Google Cloud Run, it seems like Google removes all the CORS headers on every response that the backend returns, so my frontend rejects the responses.
Has anyone come across this issue before? Any ideas on how to fix it? Please let me know if any additional information from my side is needed.
Thank you,
...ANSWER
Answered 2021-Mar-21 at 22:14I kept working on it and it seems to be working so far. The following code combines two different solutions:
- Adding the CORS headers manually to the make_response method provided by Quart.
- Using methods from the add-on library Quart-CORS.
It would probably be enough with any of these solutions by itself, but somehow it's only with both that I managed to fix the issue.
Python code:
QUESTION
I am trying to run QUART and NATS client in one application. Using this code for nats part [https://github.com/nats-io/stan.py/issues/12#issuecomment-400865266][1]
My main function contains:
...ANSWER
Answered 2021-Mar-19 at 15:24The loop.run_until_complete line will run and block until it completes, in this case running first Quart (until it completes) and then nats. To run both concurrently I typically run use gather,
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install quart
You can use quart like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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