Files
ai-video-fullstack/backend/tests/test_call_lifecycle.py
Xin Wang bdf3d3dd9c Refactor workflow agent and routing components for improved functionality
- Introduce WorkflowAgentStage to manage agent stage configurations and enhance interaction with the workflow engine.
- Implement WorkflowEdgeEvaluator for priority-aware edge evaluation, improving routing decisions based on conditions and user turns.
- Update WorkflowBrain to handle user turns and routing more effectively, ensuring agents cannot have only one default path.
- Enhance CallEndCoordinator to track speech events and manage call termination based on queued speech.
- Add new models and output handling for workflow interactions, improving clarity and maintainability.
- Update tests to validate the new routing logic and agent behavior under various scenarios.
2026-07-17 22:37:15 +08:00

64 lines
2.4 KiB
Python

from __future__ import annotations
import unittest
from pipecat.frames.frames import BotStartedSpeakingFrame, BotStoppedSpeakingFrame
from services.pipecat.call_lifecycle import CallEndCoordinator
class CallEndCoordinatorTest(unittest.IsolatedAsyncioTestCase):
async def asyncSetUp(self):
self.reasons: list[str] = []
async def queue_end(reason: str) -> None:
self.reasons.append(reason)
self.coordinator = CallEndCoordinator(queue_end)
async def test_generated_closing_text_waits_for_audio_stop(self):
self.coordinator.begin_response()
self.coordinator.begin("prompt_end_call")
await self.coordinator.finish_after_current_speech(has_text=True)
self.assertEqual(self.reasons, [])
await self.coordinator.observe(BotStartedSpeakingFrame())
self.assertEqual(self.reasons, [])
await self.coordinator.observe(BotStoppedSpeakingFrame())
self.assertEqual(self.reasons, ["prompt_end_call"])
async def test_already_played_generated_text_finishes_immediately(self):
self.coordinator.begin_response()
await self.coordinator.observe(BotStartedSpeakingFrame())
await self.coordinator.observe(BotStoppedSpeakingFrame())
self.coordinator.begin("prompt_end_call")
await self.coordinator.finish_after_current_speech(has_text=True)
self.assertEqual(self.reasons, ["prompt_end_call"])
async def test_tool_only_end_call_finishes_without_waiting(self):
self.coordinator.begin_response()
self.coordinator.begin("tool_only")
await self.coordinator.finish_after_current_speech(has_text=False)
self.assertEqual(self.reasons, ["tool_only"])
async def test_workflow_end_waits_for_every_queued_fixed_speech(self):
self.coordinator.track_speech()
self.coordinator.track_speech()
self.coordinator.begin("workflow_completed")
await self.coordinator.arm_after_tracked_speech()
await self.coordinator.observe(BotStartedSpeakingFrame())
await self.coordinator.observe(BotStoppedSpeakingFrame())
self.assertEqual(self.reasons, [])
await self.coordinator.observe(BotStartedSpeakingFrame())
await self.coordinator.observe(BotStoppedSpeakingFrame())
self.assertEqual(self.reasons, ["workflow_completed"])
if __name__ == "__main__":
unittest.main()