Refactor workflow routing and greeting management in Brain classes

- Update WorkflowBrain to handle greeting playback more effectively, ensuring that the initial greeting completes before transitioning to the first node.
- Introduce new methods for managing greeting states and conditions, enhancing the interaction flow for user turns.
- Refactor WorkflowLLMRouter to improve routing logic and ensure proper handling of conditional paths.
- Enhance tests to verify the correct behavior of greeting management and routing under various scenarios, including waiting for audio playback to finish.
- Update frontend components to reflect changes in edge handling and improve user experience in workflow configurations.
This commit is contained in:
Xin Wang
2026-07-17 22:01:42 +08:00
parent 34c0d12d2a
commit 162a3d8bec
15 changed files with 826 additions and 147 deletions

View File

@@ -4,7 +4,11 @@ import unittest
from types import SimpleNamespace
from unittest.mock import patch
from pipecat.frames.frames import OutputTransportMessageUrgentFrame
from pipecat.frames.frames import (
BotStartedSpeakingFrame,
BotStoppedSpeakingFrame,
OutputTransportMessageUrgentFrame,
)
from services.pipecat.pipeline_events import bind_cascade_pipeline_events
@@ -23,6 +27,18 @@ class _EventSource:
class _Worker:
def __init__(self):
self.frames = []
self.handlers = {}
self.downstream_types = set()
def add_reached_downstream_filter(self, types):
self.downstream_types.update(types)
def event_handler(self, name):
def decorator(handler):
self.handlers[name] = handler
return handler
return decorator
async def queue_frame(self, frame):
self.frames.append(frame)
@@ -34,12 +50,17 @@ class _Brain:
def __init__(self, worker):
self.worker = worker
self.prepared_greeting = ""
self.greeting_pending = False
self.greeting_finished = 0
def prepare_greeting_context(self, greeting, _context):
self.prepared_greeting = greeting
async def on_connected(self):
pass
async def on_connected(self, *, greeting_pending=False):
self.greeting_pending = greeting_pending
async def on_greeting_finished(self):
self.greeting_finished += 1
async def on_client_ready(self):
for content, timestamp in (
@@ -101,8 +122,46 @@ class PipelineEventTest(unittest.IsolatedAsyncioTestCase):
)
self.assertEqual(transcripts[0]["timestamp"], greeting_time)
self.assertEqual(brain.prepared_greeting, "助手开场白")
self.assertTrue(brain.greeting_pending)
clock.assert_called_once_with()
async def test_greeting_releases_workflow_only_after_real_playback_stop(self):
transport = _EventSource()
text_input = _EventSource()
user_aggregator = _EventSource()
assistant_aggregator = _EventSource()
worker = _Worker()
brain = _Brain(worker)
bind_cascade_pipeline_events(
transport=transport,
worker=worker,
brain=brain,
context=SimpleNamespace(),
text_input=text_input,
user_aggregator=user_aggregator,
assistant_aggregator=assistant_aggregator,
greeting="助手开场白",
vision_enabled=False,
vision_state={"client_id": None},
)
await transport.handlers["on_client_connected"](transport, object())
playback_handler = worker.handlers["on_frame_reached_downstream"]
# An unrelated stop cannot release startup until this greeting has
# actually produced audio.
await playback_handler(worker, BotStoppedSpeakingFrame())
self.assertEqual(brain.greeting_finished, 0)
await playback_handler(worker, BotStartedSpeakingFrame())
await playback_handler(worker, BotStoppedSpeakingFrame())
self.assertEqual(brain.greeting_finished, 1)
# Duplicate transport notifications are harmless.
await playback_handler(worker, BotStoppedSpeakingFrame())
self.assertEqual(brain.greeting_finished, 1)
if __name__ == "__main__":
unittest.main()