Jack P
11/01/2023, 9:03 PMMarvin
11/01/2023, 9:04 PM.fn
. Here's an example:
from prefect import flow, task
@task
def my_favorite_task():
return 42
@flow
def my_favorite_flow():
val = my_favorite_task()
return val
def test_my_favorite_task():
assert my_favorite_task.fn() == 42
Regarding the DaskTaskRunner, task runners provide an execution environment for tasks. In a flow decorator, you can specify a task runner to run the tasks called in that flow. The default task runner is the ConcurrentTaskRunner. To run tasks asynchronously use the .submit
method when you call them. If you call a task as you would normally in Python code it will run synchronously, even if you are calling it asynchronously.
Please note that this information is based on Prefect 2.14.2 documentation. For the most accurate information, please refer to the Prefect documentation.Jack P
11/01/2023, 9:15 PMMarvin
11/01/2023, 9:16 PMDaskTaskRunner
in Prefect would involve creating a mock object that simulates the behavior of the DaskTaskRunner
. This can be done using Python's built-in unittest.mock
library.
Here's a basic example of how you might do this:
from unittest.mock import Mock
from prefect.engine import DaskTaskRunner
# Create a mock DaskTaskRunner
mock_runner = Mock(spec=DaskTaskRunner)
# You can then specify return values for methods
mock_runner.run_task.return_value = "Mocked result"
# When you call the method, it will return the mocked result
result = mock_runner.run_task()
print(result) # Outputs: "Mocked result"
This is a very basic example. Depending on your use case, you might need to mock more methods or attributes, or specify different behaviors for different inputs.
Please note that this is a general approach to mocking in Python, and may not cover all the specifics of mocking a DaskTaskRunner
in Prefect. For more detailed information, you might want to check the Prefect documentation or the unittest.mock documentation.
Also, remember that when you're testing, it's often a good idea to test with real objects as well as mocks, to make sure your code works as expected in a real environment.