python celery: How to append a task to an old chain
I keep in my database, the reference to a chain.
from tasks import t1, t2, t3
from celery import chain
res = chain(t1.s(123)|t2.s()|t3.s())()
How can I append an other task to this particular chain ?
My goal is to be sure that chains are executed in the same order I specified in my code. And if a task fail in my chain, the following tasks are not executed.
For know I'm using super big tasks in a specify queue.
Based on Best Practices in section Avoid launching synchronous subtasks I would like to execute chain in background, not waiting for an job's chain result. How to achieve that ? Is it that simple
I'm using Celery with Redis to run some background tasks, but each time a task is called, it creates a new connection to Redis. I'm on Heroku and my Redis to Go plan allows for 10 connections. I'm qui
On localhost, i used these statements to execute tasks and workers. Run tasks: python manage.py celery beat Run workers: python manage.py celery worker --loglevel=info I used otp, rabbitmq server and
I have a flask app, I am using celery as a task queue. I have a development version working well through a small script that looks like this: from celery import Celery from settings import REDIS_URL a
I have below versions of celery and rabbitmq installed - celery 3.1.6 rabbitmq 3.1.1 I can post a task to the default queue from PHP - //client.php <?php require 'celery-php/celery.php'; $c = ne
In celery, is there a simple way to create a (series of) task(s) that I could use to automagically restart a worker? The goal is to have my deployment automagically restart all the child celery worke
I'm using a Celery task queue to process web requests asynchronously. If I wanted to prevent workers from processing the same kind of task too often, is it possible for a worker to reenqueue a task? I
A pretty straightforward question, maybe - I often see a celery task process running on my system that I cannot find when I use celery.task.control.inspect()'s active() method. Often this process will
I need to have a celery task run after a countdown, but be able to reset that countdown under certain conditions. For example, I want to call apply_async with countdown=15, but if certain event occurs
How to run celery as Daemon service in ubuntu instead of running celery -A projname worker -l info command each time, am using celery 3.1.8 version....
I'm planning to use Celery to handle sending push notifications and emails triggered by events from my primary server. These tasks require opening a connection to an external server (GCM, APS, email s
I cannot figure out how to actually pass arguments to a fabric custom task. I have a bunch of tasks that all need to do the same setup, so I was hoping to subclass the task and have the base class do
I have a check_orders task that's executed periodically. It makes a group of tasks so that I can time how long executing the tasks took, and perform something when they're all done (this is the purpos
when the periodic task is running , how to get the task return? I need the running result. this is my problem: For example, my periodic task: @shared_task(name='add') def add(): x=1,y=2 return x+y I
I have a WizardView covering two forms, the second one has a FileField. Is it possible to create a Celery task for uploading file from that FileField? Should I create another FILE_UPLOAD_HANDLER? All
I have to implement Celery in a pre-existing system. The previous version of the system already used Python standard logging. My code is similar to the code below. Process one and process two are non-
This is not working anymore, scrapy's API has changed. Now the documentation feature a way to Run Scrapy from a script but I get the ReactorNotRestartable error. My task: from celery import Task fro
I'm trying to make application with cellery. It should work on few workers and different workers are consuming from different queues. I've got something like this: @celery.task def task1(): do_somethi
Question I use celery to launch task sets that look like this: I perform a batch of tasks that can be run in parallel, number of tasks in this batch varies from tens to couple thousands. I aggregat
I have a situation here. I have a celery task which uses python logger to log to a log file. However, When I run the celery workers, I can see the log messages on the screen. Its getting written to th
I have some very simple periodic code using Celery's threading; it simply prints Pre and Post and sleep in between. It is adapted from this StackOverflow question and this linked website from cele
Can I use a Celery Group primitive as the umbrella task in a map/reduce workflow? Or more specific: Can the subtasks in a Group be run on multiple workers on multiple servers? From the docs: However,
I am trying to retry a task that fails with the following code: @task(bind=True) def update_listing(self, listing_object, retailer): try: listing = _update_listing(listing_object, retailer) except Exc
How do you setup a Celery daemon so it executes tasks for multiple separate Django sites? I have several separate Django sites running on the same host, and I want to support Celery-powered asynchrono
# get a list of stuff @celery.task def getList(): listOfStuff = getStuff() for thing in listOfStuff: processThing.apply_async(args=(thing)) # another attempt at list of stuff @celery.task def getList(
tasks.py: from celery import Celery from django.http import HttpResponse from anyjson import serialize celery = Celery('tasks', broker='amqp://guest@localhost//') #@celery.task def add(request): x = i
How can I access the result of a Celery task in my main Django application process? Or, how can I publish to an existing socket connection from a separate process? I have an application in which users
The Celery docs describe how you can pass positional arguments to your beat-scheduled tasks as a list or tuple. I have a task that takes a single argument, a list of integers: @shared_task def schedul
Celery defaults to using pickle as its serialization method for tasks. As noted in the FAQ, this represents a security hole. Celery allows you to configure how tasks get serialized using the CELERY_TA
I'm using celery, I have several tasks which needed to be executed in order. For example I have this task: @celery.task def tprint(word): print word And I want to do something like this: >>>
I have created scheduled task in my task.py but it never appears to run. I have restarted my workers and normal tasks run just fine. As I'm new to this, have I missed something, is there a setting in
I have a dictionary in Python, that describes some kinds of binaries running on various hosts. Some of them are connected each to other. The question is - how can I construct chains from them? If inpu
I'm wondering how to setup a more specific logging system. All my tasks use logger = logging.getLogger(__name__) as a module wide logger. I want celery to log to celeryd.log and my tasks to tasks.
My question is probably pretty basic but still I can't get a solution in the official doc. I have defined a Celery chain inside my Django application, performing a set of tasks dependent from eanch ot
Sometimes I have a situation where Celery queue builds up on accidental unnecessary tasks, clogging down the server. E.g. the code shoots up 20 000 tasks instead of 1. How one can inspect what Python
i am trying to build a jar in ANT.Below is my code for generating jar file.i dont know why this error(Trying to override old definition of task javac) happens.sometimes its not generating jar. <?
Patching a Celery task call with a mocked return value returns <Mock name='mock().get()' ...> instead of the expected return_value defined by mock_task.get.return_value = value. However, the m
How using Celery can I add user and password connection details to my broker. I'm not using the Django framework but just Python 3. I have tried this: app = Celery('tasks', broker='sqs://123:123', ) a
thanks in advance :) I have this async Celery task call: update_solr.delay(id, context) where id is an integer and context is a Python dict. My task definition looks like: @task def update_solr(id, c
Does celery fork itself for every task? Lets say I have something like this: obj = object() @celery.task def print_id(): print id(obj) #another server print_id.delay() print_id.delay() print_id.delay(
I just started using Celery, where a Celery worker is written in Python, and the tasks are sent from node/Meteor using node-celery. Why is there no result returned from the client.call()? Python worke
I recently integrated celery (django-celery to be more specific) in one of my applications. I have a model in the application as follows. class UserUploadedFile(models.Model) original_file = models.Fi
I am seeing odd behaviour when I open a file in append mode ('a+') under Windows 7 using Python. I was wondering whether the behaviour is in fact incorrect or I am misunderstanding how to use the foll
I am a beginner in django celery so unaware of the deep concepts of the celery. I have installed all the required packages like celery, rabbitMQ and permissions as well. after goin through the documen
I followed celery docs to define 2 queues on my dev machine. My celery settings: CELERY_ALWAYS_EAGER = True CELERY_TASK_RESULT_EXPIRES = 60 # 1 mins CELERYD_CONCURRENCY = 2 CELERYD_MAX_TASKS_PER_CHILD
The print function's syntax has been changed in newer versions of python. The problem is that at home, I have the newer version of python while at office the old one. How can I have the same program r
I just started using Celery (more specifically django-celery) and I'm still not familiar with it. I'm developing an application which will send tasks to be executed remotely in the workers, where each
Awhile ago I wrote a Markov chain text generator for IRC in Python. It would consume all of my VPS's free memory after running for a month or two and I would need to purge its data and start over. Now
My task is it to write a script using opencv which will later run as a Celery task. What consequences does this have? What do I have to pay attention to? Is it enough in the end to include two lines o
I am trying to use Celery to output to multiple files. The task is very simple: Get some data along with a file path Append that data to the file path (and create the file if it doesn't exist) I do