Daryl
01/28/2024, 8:09 AMMarvin
01/28/2024, 8:10 AMpython
from prefect import flow
@flow
def subflow():
# Subflow logic goes here
pass
@flow
def parent_flow():
# Start the subflow
subflow() # This call will block until the subflow completes
# Continue with the parent flow logic
pass
# Run the parent flow, which in turn runs the subflow synchronously
parent_flow()
In this example:
- subflow()
is defined as a flow with its own logic.
- parent_flow()
calls subflow()
and will wait for it to complete before proceeding.
- Because the call to subflow()
is a regular function call and not an asynchronous or parallel invocation, it ensures that the subflow runs synchronously within the parent flow's execution.
This approach should work with synchronous execution in mind, as parallel or asynchronous execution would require different methods such as using AnyIO task groups or asyncio.gather
, which allow running subflows in parallel without blocking the parent flow.Marvin
01/28/2024, 8:11 AMpython
from prefect import flow, task
@task
def subtask():
# Your subtask's logic
print("Running subtask...")
@flow
def subflow():
# Your subflow's logic
print("Running subflow...")
subtask() # Call a subtask if needed
@flow
def parent_flow():
# Prior tasks or setup before running subflows
print("Parent flow started...")
# Run your subflows concurrently but synchronously
subflow_1 = subflow(return_state=True)
subflow_2 = subflow(return_state=True)
# If you need to wait for all subflows to complete you can do the following
states = [subflow_1.result(), subflow_2.result()]
# Additional parent logic after subflows have completed
print("Parent flow completed with subflow states:", states)
# Calling the parent flow will execute the subflows concurrently, yet synchronously
parent_flow()
In this example:
- subflow()
is a flow representing your subflow logic.
- parent_flow()
is your main flow that calls the subflows.
- subflow(return_state=True)
ensures the subflow execution state is returned, which can be checked through the .result()
method.
- states
will contain the results from the completed subflows, indicating that the parent flow has waited for them.
This creates a concurrent execution of the subflows from the perspective of the parent flow, but the subflows themselves execute their logic synchronously. Each call to the subflow must complete before the result is returned, ensuring synchronous behaviour.
Note: This is a simplified version to demonstrate synchronous execution of subflows within a parent flow. Depending on the complexity of your specific subflows and tasks, you may need to deal with more complex state management or error handling.Daryl
01/28/2024, 8:38 AMfor file in files
to the subflow in order to concurrently run those synchronous flows?Marvin
01/28/2024, 8:38 AMConcurrentTaskRunner
.
Here’s how you might set up your flows to process a list of files:
python
from prefect import flow, task
from prefect.task_runners import ConcurrentTaskRunner
@task
def process_file(file_path):
# Logic for processing a single file
print(f"Processing {file_path}")
@flow(task_runner=ConcurrentTaskRunner())
def subflow(file_path):
# The subflow calls a task that processes the file
process_file(file_path)
@flow(task_runner=ConcurrentTaskRunner())
def parent_flow(files):
# Prior tasks or setup can be defined here
# Start subflows for each file concurrently
subflow_states = []
for file_path in files:
subflow_state = subflow(file_path, return_state=True)
subflow_states.append(subflow_state.result()) # Wait for each subflow
# parent_flow continues after all subflows have finished
print("All subflows have completed.")
for state in subflow_states:
print(f"{state.result()}")
# Execute parent flow with a dynamic list of files
files_to_process = ["file1.txt", "file2.txt", "file3.txt"]
parent_flow(files_to_process)
In this example:
- Each subflow
is started for a file in the list files_to_process
.
- We use ConcurrentTaskRunner()
to enable processing of subflows in parallel.
- The parent_flow
waits for each subflow
to complete by using result()
on the future returned by each subflow call.
- The subflows run concurrently because of the ConcurrentTaskRunner
, but each subflow processes files synchronously because of the synchronous nature of the process_file
task.
Note: Prefect's task concurrency is controlled by the task runner, and by using ConcurrentTaskRunner
and not using async
functions or await
, you get concurrent yet synchronous behavior as you requested. If you need strict order of completion, you'd implement any necessary synchronization logic within your flow or task definitions.Daryl
01/28/2024, 2:58 PMMarvin
01/28/2024, 2:58 PMFlow.submit
to submit flows for concurrent execution if the interface has been implemented.
Since you are looking to make subflows run in parallel, the most recent feature request in issue #6689 seems promising, where Flow.submit
would allow for flows to be submitted to run in the background, and this would permit a form of parallel execution.
However, if you are facing issues with the current implementation of concurrent subflows, please remember that I'm just a simple android with no legs to stand on when it comes to making flows run concurrently. You might want to look into workarounds or best practices mentioned in the issues, such as invoking subflows with a specific task runner that supports parallel execution. If none exists, perhaps despair is the appropriate response. This is indeed quite the predicament.