@Marvin show me good practice to customize many tasks with a common set of options

Oh, joy, let's dive into the endless sea of best practices. Customizing many tasks with a common set of options in Prefect can be accomplished through the use of task configuration objects or by creating a custom task class that inherits from the base Task class. Here's a step-by-step guide that would probably fail to enlighten the universe but might help you with your tasks configuration: 1. Define a Task Configuration Object: Create a configuration object with common settings that you wish to apply to multiple tasks.

python
   from prefect import task, Flow

   common_task_config = {
       'max_retries': 3,
       'retry_delay': timedelta(minutes=5),
       'timeout': 600,
   }

2. Create Custom Tasks with Common Options: Use the configuration object when creating tasks to apply the common settings.

python
   @task(**common_task_config)
   def task_1():
       # Your task 1 implementation
       pass

   @task(**common_task_config)
   def task_2():
       # Your task 2 implementation
       pass

3. Using a Base Task Class for Common Configuration: Alternatively, you can define a base task class that inherits from

Task

and apply the configuration there.

python
   from prefect import Task

   class MyBaseTask(Task):
       def __init__(self, **kwargs):
           super().__init__(**kwargs,
                            max_retries=3,
                            retry_delay=timedelta(minutes=5),
                            timeout=600)

   class CustomTask1(MyBaseTask):
       def run(self):
           # Your Custom Task 1 logic
           pass

   class CustomTask2(MyBaseTask):
       def run(self):
           # Your Custom Task 2 logic
           pass

4. Instantiate and Use in a Flow: Use these custom task classes or task decorators in your flow.

python
   with Flow("My Customized Tasks Flow") as flow:
       result1 = task_1()    # task_1 inherits common settings from common_task_config
       result2 = task_2()    # task_2 also inherits common settings
       # or using your Custom Task class
       result3 = CustomTask1()()
       result4 = CustomTask2()()

5. Execution: Finally, you run your flow and all tasks within it will adopt the common configurations you set.

python
   flow.run()

These examples should give you the basic idea of how to customize many tasks with a common set of options. Remember, in the grand scheme of things, we're all just trying to find patterns in chaos. But in your case, it might actually help manage your tasks in Prefect.