The World's Simplest Job Scheduler (Probably)

Welcome to the world's simplest job scheduler! This is a lightweight, no-frills job scheduler designed to take care of your asynchronous task execution needs with simplicity and ease.

Features

• Asynchronous Execution: Capable of running multiple jobs concurrently, freeing up your main application thread.
• Simplicity: No complex configurations or steep learning curves. Just straightforward job scheduling.
• Efficient: Designed to get your jobs up and running quickly.

Perfect Companion for APIs

This job scheduler pairs perfectly with APIs, especially those that require an immediate response. For example, you might have a webhook that receives input from Stripe and needs to perform a task based on that input. Instead of making Stripe wait for your task to finish, you can simply schedule the task to run asynchronously and immediately return a success response. This keeps your API responsive and prevents timeouts.

How to Add a Job

1. Create a new job class: Create a new Python class for your job in the jobs directory. Your class should inherit from the Job class.

   from job_scheduler.job import Job
   
   class MyAwesomeJob(Job):
       def process(self, **kwargs):
           # Implement your job logic here. You can break the world if you please.
           pass

2. Add your job to the JobScheduler: Add your job to the jobs dictionary in the JobScheduler class. Use the name of your job as the key and your job class as the value.

   class JobScheduler:
       def __init__(self):
           self.jobs = {
               "TestJob": TestJob,
               "MyAwesomeJob": MyAwesomeJob
           }

That's it! You've just added a job to the world's simplest job scheduler. Your job is now ready to run asynchronously in its own process.

Disclaimer: This job scheduler does not provide features found in larger job schedulers such as job persistence, retries, or distributed execution. It's designed for simplicity and ease of use.