flask-celery | Celery integration for Flask

by ask Python Version: 2.4.3 License: BSD-3-Clause

X-Ray Key Features Code Snippets(10)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | flask-celery Summary

flask-celery is a Python library typically used in Big Data, Spark applications. flask-celery has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install flask-celery' or download it from GitHub, PyPI.

Celery integration for Flask (SINCE CELERY 3.0 THIS IS NO LONGER NEEDED)

Support

Quality

Security

License

Reuse

Support

flask-celery has a low active ecosystem.

It has 201 star(s) with 34 fork(s). There are 10 watchers for this library.

It had no major release in the last 12 months.

There are 9 open issues and 10 have been closed. On average issues are closed in 202 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of flask-celery is 2.4.3

Quality

flask-celery has 0 bugs and 0 code smells.

Security

flask-celery has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

flask-celery code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

flask-celery is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

flask-celery releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed flask-celery and discovered the below as its top functions. This is intended to give you an instant insight into flask-celery implemented functionality, and help decide if they suit your requirements.

Convert an option to an argument .
A hello world view .
Execute celery .
Read settings from flask . conf .
Run the worker .
Build the kwargs for a flask app .
Install commands for the application .
Get ev command
Return a beat command .
Initialize the command .

Get all kandi verified functions for this library.

flask-celery Key Features

No Key Features are available at this moment for flask-celery.

flask-celery Examples and Code Snippets

Working outside of application context Flask Celery

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

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# smartful_venv/bin/celery --app=smartful_versioning_flask.celery worker --loglevel=DEBUG

Flask Celery TypeError: send_() got multiple values for argument 'time_'

Python

Lines of Code : 10

License : Strong Copyleft (CC BY-SA 4.0)

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send_.delay(time_=int(time), result=lst)

@celery.task(bind=True)
def send_(self, time_, result):
    ...

@celery.task
def send_(time_, result):
    ...

Python Flask: Just Upload the first n lines of a huge file and then stop the upload, continue with those n lines

Python

Lines of Code : 18

License : Strong Copyleft (CC BY-SA 4.0)

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f = open('really_big_file.dat')
# for binary data ...
# f = open("sample.bin", "rb")
head = f.read(1024)

f = open('really_big_file.dat')
def read_part():
    return f.read(1024)

output = ""
for piece in iter(read_

Run Celery task locking Flask

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

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from app.task_runner.celery_app import celery_app

__all__ = ('celery_app',)

Celery with Flask and UWSGI

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

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@celery.task(name='app.celery.add')
def add(x, y):
    return x + y

Flask Error: Unable to load celery application

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

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celery -A app.celery ...

How to run Flask AND celery in one container?

Python

Lines of Code : 19

License : Strong Copyleft (CC BY-SA 4.0)

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services:
  web:
    build: ./web  
    environment:    
      FLASK_DEBUG: 'True'
      FLASK_APP: 'flask_app.py'
    command: flask run --host=0.0.0.0
    depends_on:     
      - nginx
      - db
      - rabbitmq
  celery:
    build: ./

I cannot launch Flower monitor server for Flask/Celery simple project

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

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celery flower -A ctest.app

celery flower -A ctest.app.celery

How to run another python code in background with flask

Python

Lines of Code : 16

License : Strong Copyleft (CC BY-SA 4.0)

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# you'll need to configure celery for flask
celery = Celery(app.name, broker=app.config['CELERY_BROKER_URL'])

@celery.task
def analysis(case_id):
    USER_FOLDER = os.path.join(UPLOAD_FOLDER + '/' + case_id) 
    Analysis_code.main(USER_F

How to respond to an HTTP request before executing my program logic in python 2.7

Python

Lines of Code : 18

License : Strong Copyleft (CC BY-SA 4.0)

Copy

import threading

thread_lock = threading.Lock()
threads = []

    app = Flask(__name__)
    @app.route('/', methods=['POST'])

    def webhook():
       slack_incomming_message= request.get_json()
       thread = threading.Thread(target=b

Community Discussions

Trending Discussions on flask-celery

Pytest, Flask, Celery - Celery NoneType Error

QUESTION

Pytest, Flask, Celery - Celery NoneType Error

Asked 2021-Sep-20 at 17:13

I have a Flask application using Celery, and the async processing works fine when the app is running locally. However, when I try to test (pytest) a route that uses Celery tasks, I get this error:

...

ANSWER

Answered 2021-Sep-20 at 17:13

A bit of a tricky knot to untie, so I'll offer a slight restructuring.

First, note that you don't need an instance of Celery to declare tasks.

Source https://stackoverflow.com/questions/69246153

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install flask-celery

You can install using 'pip install flask-celery' or download it from GitHub, PyPI.
You can use flask-celery 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: