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agent-framework/python/packages/workflow/tests/test_workflow.py
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Tao Chen c8694a8c76 Python: Define Workflow and Executor APIs (#272)
* Workflow init commit

* Add samples and clean up

* ExecutionContext -> WorkflowContext

* Address comments 1

* Fix mypy

* flatting folder structure, and rename contexts

* Remove add_loop

* Add map reduce sample, remove Activation conditions

* Add AgentExecutor and allow multiple handlers per executor

* Minor improvement

* Add RequestInfoExecutor

* Add unit tests part 1

* Address comments 2

* Pre-commit update

* Add run method and more unit tests

* Add xml docs

* run_stream -> run_streaming

* message_handler -> handler

---------

Co-authored-by: Chris <66376200+crickman@users.noreply.github.com>
Co-authored-by: Evan Mattson <evan.mattson@microsoft.com>
2025-08-06 23:26:15 +00:00

278 lines
8.9 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
from dataclasses import dataclass
import pytest
from agent_framework.workflow import (
Executor,
RequestInfoEvent,
RequestInfoExecutor,
RequestInfoMessage,
WorkflowBuilder,
WorkflowCompletedEvent,
WorkflowContext,
WorkflowEvent,
handler,
)
@dataclass
class MockMessage:
"""A mock message for testing purposes."""
data: int
class MockExecutor(Executor):
"""A mock executor for testing purposes."""
def __init__(self, id: str, limit: int = 10):
"""Initialize the mock executor with a limit."""
super().__init__(id=id)
self.limit = limit
@handler(output_types=[MockMessage])
async def mock_handler(self, message: MockMessage, ctx: WorkflowContext) -> None:
if message.data < self.limit:
await ctx.send_message(MockMessage(data=message.data + 1))
else:
await ctx.add_event(WorkflowCompletedEvent(data=message.data))
class MockAggregator(Executor):
"""A mock executor that aggregates results from multiple executors."""
@handler
async def mock_handler(self, messages: list[MockMessage], ctx: WorkflowContext) -> None:
# This mock simply returns the data incremented by 1
await ctx.add_event(WorkflowCompletedEvent(data=sum(msg.data for msg in messages)))
@dataclass
class ApprovalMessage:
"""A mock message for approval requests."""
approved: bool
class MockExecutorRequestApproval(Executor):
"""A mock executor that simulates a request for approval."""
@handler(output_types=[RequestInfoMessage])
async def mock_handler_a(self, message: MockMessage, ctx: WorkflowContext) -> None:
"""A mock handler that requests approval."""
await ctx.set_shared_state(self.id, message.data)
await ctx.send_message(RequestInfoMessage())
@handler(output_types=[MockMessage])
async def mock_handler_b(self, message: ApprovalMessage, ctx: WorkflowContext) -> None:
"""A mock handler that processes the approval response."""
data = await ctx.get_shared_state(self.id)
if message.approved:
await ctx.add_event(WorkflowCompletedEvent(data=data))
else:
await ctx.send_message(MockMessage(data=data))
async def test_workflow_run_streaming():
"""Test the workflow run stream."""
executor_a = MockExecutor(id="executor_a")
executor_b = MockExecutor(id="executor_b")
workflow = (
WorkflowBuilder()
.set_start_executor(executor_a)
.add_edge(executor_a, executor_b)
.add_edge(executor_b, executor_a)
.build()
)
result: int | None = None
async for event in workflow.run_streaming(MockMessage(data=0)):
assert isinstance(event, WorkflowEvent)
if isinstance(event, WorkflowCompletedEvent):
result = event.data
assert result is not None and result == 10
async def test_workflow_run_stream_not_completed():
"""Test the workflow run stream."""
executor_a = MockExecutor(id="executor_a")
executor_b = MockExecutor(id="executor_b")
workflow = (
WorkflowBuilder()
.set_start_executor(executor_a)
.add_edge(executor_a, executor_b)
.add_edge(executor_b, executor_a)
.set_max_iterations(5)
.build()
)
with pytest.raises(RuntimeError):
async for _ in workflow.run_streaming(MockMessage(data=0)):
pass
async def test_workflow_run():
"""Test the workflow run."""
executor_a = MockExecutor(id="executor_a")
executor_b = MockExecutor(id="executor_b")
workflow = (
WorkflowBuilder()
.set_start_executor(executor_a)
.add_edge(executor_a, executor_b)
.add_edge(executor_b, executor_a)
.build()
)
events = await workflow.run(MockMessage(data=0))
completed_event = events.get_completed_event()
assert isinstance(completed_event, WorkflowCompletedEvent)
assert completed_event.data == 10
async def test_workflow_run_not_completed():
"""Test the workflow run."""
executor_a = MockExecutor(id="executor_a")
executor_b = MockExecutor(id="executor_b")
workflow = (
WorkflowBuilder()
.set_start_executor(executor_a)
.add_edge(executor_a, executor_b)
.add_edge(executor_b, executor_a)
.set_max_iterations(5)
.build()
)
with pytest.raises(RuntimeError):
await workflow.run(MockMessage(data=0))
async def test_workflow_send_responses_streaming():
"""Test the workflow run with approval."""
executor_a = MockExecutor(id="executor_a")
executor_b = MockExecutorRequestApproval(id="executor_b")
request_info_executor = RequestInfoExecutor()
workflow = (
WorkflowBuilder()
.set_start_executor(executor_a)
.add_edge(executor_a, executor_b)
.add_edge(executor_b, executor_a)
.add_edge(executor_b, request_info_executor)
.add_edge(request_info_executor, executor_b)
.build()
)
request_info_event: RequestInfoEvent | None = None
async for event in workflow.run_streaming(MockMessage(data=0)):
if isinstance(event, RequestInfoEvent):
request_info_event = event
assert request_info_event is not None
result: int | None = None
async for event in workflow.send_responses_streaming({
request_info_event.request_id: ApprovalMessage(approved=True)
}):
if isinstance(event, WorkflowCompletedEvent):
result = event.data
assert result is not None and result == 1 # The data should be incremented by 1 from the initial message
async def test_workflow_send_responses():
"""Test the workflow run with approval."""
executor_a = MockExecutor(id="executor_a")
executor_b = MockExecutorRequestApproval(id="executor_b")
request_info_executor = RequestInfoExecutor()
workflow = (
WorkflowBuilder()
.set_start_executor(executor_a)
.add_edge(executor_a, executor_b)
.add_edge(executor_b, executor_a)
.add_edge(executor_b, request_info_executor)
.add_edge(request_info_executor, executor_b)
.build()
)
events = await workflow.run(MockMessage(data=0))
request_info_events = events.get_request_info_events()
assert len(request_info_events) == 1
result = await workflow.send_responses({request_info_events[0].request_id: ApprovalMessage(approved=True)})
completed_event = result.get_completed_event()
assert isinstance(completed_event, WorkflowCompletedEvent)
assert completed_event.data == 1 # The data should be incremented by 1 from the initial message
async def test_fan_out():
"""Test a fan-out workflow."""
executor_a = MockExecutor(id="executor_a")
executor_b = MockExecutor(id="executor_b", limit=1)
executor_c = MockExecutor(id="executor_c", limit=2) # This executor will not complete the workflow
workflow = (
WorkflowBuilder().set_start_executor(executor_a).add_fan_out_edges(executor_a, [executor_b, executor_c]).build()
)
events = await workflow.run(MockMessage(data=0))
# Each executor will emit two events: ExecutorInvokeEvent and ExecutorCompletedEvent
# executor_b will also emit a WorkflowCompletedEvent
assert len(events) == 7
completed_event = events.get_completed_event()
assert completed_event is not None and completed_event.data == 1
async def test_fan_out_multiple_completed_events():
"""Test a fan-out workflow with multiple completed events."""
executor_a = MockExecutor(id="executor_a")
executor_b = MockExecutor(id="executor_b", limit=1)
executor_c = MockExecutor(id="executor_c", limit=1)
workflow = (
WorkflowBuilder().set_start_executor(executor_a).add_fan_out_edges(executor_a, [executor_b, executor_c]).build()
)
events = await workflow.run(MockMessage(data=0))
# Each executor will emit two events: ExecutorInvokeEvent and ExecutorCompletedEvent
# executor_a and executor_b will also emit a WorkflowCompletedEvent
assert len(events) == 8
with pytest.raises(ValueError):
events.get_completed_event()
async def test_fan_in():
"""Test a fan-in workflow."""
executor_a = MockExecutor(id="executor_a")
executor_b = MockExecutor(id="executor_b")
executor_c = MockExecutor(id="executor_c")
aggregator = MockAggregator(id="aggregator")
workflow = (
WorkflowBuilder()
.set_start_executor(executor_a)
.add_fan_out_edges(executor_a, [executor_b, executor_c])
.add_fan_in_edges([executor_b, executor_c], aggregator)
.build()
)
events = await workflow.run(MockMessage(data=0))
# Each executor will emit two events: ExecutorInvokeEvent and ExecutorCompletedEvent
# aggregator will also emit a WorkflowCompletedEvent
assert len(events) == 9
completed_event = events.get_completed_event()
assert completed_event is not None and completed_event.data == 4