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https://github.com/dograh-hq/dograh.git
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2381a803ad
* feat: add openai realtime models * chore: bump pipecat * fix: resample telephony audio for openai realtime * fix: sampling rate fix for openai realtime * chore: clean up dead code
59 lines
2 KiB
Python
59 lines
2 KiB
Python
from types import SimpleNamespace
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from unittest.mock import AsyncMock
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import pytest
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from pipecat.frames.frames import LLMMessagesAppendFrame
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from pipecat.services.openai.realtime import events
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from api.services.pipecat.realtime.openai_realtime import (
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DograhOpenAIRealtimeLLMService,
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)
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from api.services.workflow.pipecat_engine_callbacks import UserIdleHandler
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@pytest.mark.asyncio
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async def test_openai_realtime_messages_append_frame_sends_conversation_item():
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service = DograhOpenAIRealtimeLLMService(api_key="test")
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service._api_session_ready = True
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service.send_client_event = AsyncMock()
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service._send_manual_response_create = AsyncMock()
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await service._handle_messages_append(
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LLMMessagesAppendFrame(
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[{"role": "user", "content": "Are you still there?"}],
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run_llm=True,
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)
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)
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service.send_client_event.assert_awaited_once()
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event = service.send_client_event.await_args.args[0]
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assert isinstance(event, events.ConversationItemCreateEvent)
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assert event.item.role == "user"
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assert event.item.type == "message"
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assert event.item.content == [
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events.ItemContent(type="input_text", text="Are you still there?")
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]
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service._send_manual_response_create.assert_awaited_once()
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@pytest.mark.asyncio
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async def test_user_idle_handler_uses_realtime_append_path():
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engine = SimpleNamespace(
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llm=SimpleNamespace(),
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end_call_with_reason=AsyncMock(),
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)
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aggregator = SimpleNamespace(push_frame=AsyncMock())
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handler = UserIdleHandler(engine)
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await handler.handle_idle(aggregator)
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aggregator.push_frame.assert_awaited_once()
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frame = aggregator.push_frame.await_args.args[0]
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assert isinstance(frame, LLMMessagesAppendFrame)
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assert frame.run_llm is True
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assert frame.messages == [
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{
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"role": "user",
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"content": "The user has been quiet. Politely and briefly ask if they're still there in the language that the user has been speaking so far.",
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}
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]
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