flask-apscheduler
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flask-apscheduler | flower | |
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7 | 3 | |
1,089 | 6,169 | |
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5.4 | 7.7 | |
6 months ago | 8 days ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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flask-apscheduler
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Loading large amount of data - when is best?
I had to use it because I setup scheduled tasks in my init.py. Flask APScheduler
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Creating bots with OAuth 2.0 Authorization Code Flow with PKCE and V2 of the Twitter API
When I’ve previously made bots, I’ve typically used an external service such as Render’s cron job service or Google’s cloud scheduler to handle the timing of my bots. But for @noun__verb, I used flask-apscheduler to set up the timing. This might be better for smaller projects, but you may want to consider a cloud service as you scale.
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Handling Refresh Tokens in the OAuth 2.0 Authorization Code Flow with PKCE with Flask
Hopefully, this can be a starting point for you to get started with generating refresh tokens. As a next step, if you are using Flask you may want to consider using a schedular to update your refresh tokens regularly in an automated fashion. Additionally you may want to consider saving your tokens to a database in a secure fashion. This code sample can also be extended to allow you to connect to any of the endpoints that support v2 and can be deployed to a server as part of a more complete application.
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How can I run a while loop whilst flask is running?
Flask-APScheduler might be what you're looking for.
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Add Dynamically Job Scheduling
Any framework to add dynamically job scheduling like cron ? I find https://github.com/viniciuschiele/flask-apscheduler . Anything else like this?
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Wondering if I should use Celery vs threads for what I want to do
Flask-APSScheduler would work well for this.
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Call function every x minutes
To extend this, there is flask wrapper for apscheduler. I worked with this, and it's OK IMO. https://github.com/viniciuschiele/flask-apscheduler
flower
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Scaling Celery to handle workflows and multiple queues
Use flower to monitor workers and tasks.
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Python Celery - high level overview(animated video)
Not sure what your criteria for good observability ist, but flower served me well enough for this in the last couple of years.
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Wondering if I should use Celery vs threads for what I want to do
From experience i would not use threads for this or any background jobs. I would use Celery or Flask-RQ2 to be your workers, you will also probably end up using them to run other tasks as you encounter the need for other jobs. They both use Redis as a broker and job store and you can use Redis for other things like caching and so many other useful features. I kind of like RQ2 more then Celery because its a little simpler but Celery has a lot more to offer, more features. RQ2 has rq-dashboard for monitoring jobs and Celery has Flower.
What are some alternatives?
rq-dashboard - Flask-based web front-end for monitoring RQ queues
django-suit - Modern theme for Django admin interface
connexion - Connexion is a modern Python web framework that makes spec-first and api-first development easy.
django-jet - Modern responsive template for the Django admin interface with improved functionality. We are proud to announce completely new Jet. Please check out Live Demo
Quartz - Code for Quartz Scheduler
Celery-Kubernetes-Operator - An operator to manage celery clusters on Kubernetes (Work in Progress)
django-apscheduler - APScheduler for Django
flask-admin - Simple and extensible administrative interface framework for Flask
Flask-RQ2 - A Flask extension for RQ.
NiceHash-Mining-Scheduler - Schedule the start and stop of your NiceHash miners using this script.
django-celery-results - Celery result back end with django