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Task 3: LLM Streaming Integration - Import Settings, ChatMessage, MessageRole from llama-index - Configure LLM with temperature 0.7 on connection - Build system message with WebVTT transcript context (max 15k chars) - Initialize conversation history with system message - Handle 'message' type from client to trigger LLM streaming - Stream LLM response using Settings.llm.astream_chat() - Send tokens incrementally via 'token' messages - Send 'done' message when streaming completes - Maintain conversation history across multiple messages - Add error handling with 'error' message type - Add message protocol validation test Implements Tasks 3 & 4 from TASKS.md
171 lines
5.8 KiB
Python
171 lines
5.8 KiB
Python
"""Tests for transcript chat WebSocket endpoint."""
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import pytest
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from reflector.db.transcripts import (
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SourceKind,
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TranscriptParticipant,
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TranscriptTopic,
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transcripts_controller,
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)
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from reflector.processors.types import Word
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@pytest.fixture
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async def test_transcript(setup_database):
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"""Create a test transcript for WebSocket tests."""
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transcript = await transcripts_controller.add(
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name="Test Transcript for Chat", source_kind=SourceKind.FILE
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)
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return transcript
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@pytest.fixture
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async def test_transcript_with_content(setup_database):
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"""Create a test transcript with actual content for WebVTT generation."""
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transcript = await transcripts_controller.add(
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name="Test Transcript with Content", source_kind=SourceKind.FILE
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)
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# Add participants
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await transcripts_controller.update(
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transcript,
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{
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"participants": [
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TranscriptParticipant(id="1", speaker=0, name="Alice").model_dump(),
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TranscriptParticipant(id="2", speaker=1, name="Bob").model_dump(),
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]
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},
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)
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# Add topic with words
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await transcripts_controller.upsert_topic(
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transcript,
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TranscriptTopic(
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title="Introduction",
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summary="Opening remarks",
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timestamp=0.0,
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words=[
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Word(text="Hello ", start=0.0, end=1.0, speaker=0),
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Word(text="everyone.", start=1.0, end=2.0, speaker=0),
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Word(text="Hi ", start=2.0, end=3.0, speaker=1),
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Word(text="there!", start=3.0, end=4.0, speaker=1),
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],
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),
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)
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return transcript
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def test_chat_websocket_connection_success(test_transcript):
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"""Test successful WebSocket connection to chat endpoint."""
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from starlette.testclient import TestClient
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from reflector.app import app
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with TestClient(app) as client:
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# Connect to WebSocket endpoint
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with client.websocket_connect(
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f"/v1/transcripts/{test_transcript.id}/chat"
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) as websocket:
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# Send a test message
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websocket.send_json({"type": "message", "text": "Hello"})
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# Receive echo response
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response = websocket.receive_json()
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assert response["type"] == "echo"
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assert response["data"]["type"] == "message"
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assert response["data"]["text"] == "Hello"
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def test_chat_websocket_nonexistent_transcript():
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"""Test WebSocket connection fails for nonexistent transcript."""
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from starlette.testclient import TestClient
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from starlette.websockets import WebSocketDisconnect
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from reflector.app import app
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with TestClient(app) as client:
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# Try to connect to non-existent transcript - should raise on connect
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with pytest.raises(WebSocketDisconnect):
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with client.websocket_connect(
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"/v1/transcripts/nonexistent-id/chat"
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) as websocket:
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websocket.send_json({"type": "message", "text": "Hello"})
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def test_chat_websocket_multiple_messages(test_transcript):
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"""Test sending multiple messages through WebSocket."""
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from starlette.testclient import TestClient
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from reflector.app import app
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with TestClient(app) as client:
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with client.websocket_connect(
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f"/v1/transcripts/{test_transcript.id}/chat"
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) as websocket:
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# Send multiple messages
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messages = ["First message", "Second message", "Third message"]
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for msg in messages:
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websocket.send_json({"type": "message", "text": msg})
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response = websocket.receive_json()
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assert response["type"] == "echo"
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assert response["data"]["text"] == msg
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def test_chat_websocket_disconnect_graceful(test_transcript):
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"""Test WebSocket disconnects gracefully."""
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from starlette.testclient import TestClient
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from reflector.app import app
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with TestClient(app) as client:
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with client.websocket_connect(
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f"/v1/transcripts/{test_transcript.id}/chat"
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) as websocket:
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websocket.send_json({"type": "message", "text": "Hello"})
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websocket.receive_json()
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# Close connection - context manager handles it
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# No exception should be raised
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def test_chat_websocket_context_generation(test_transcript_with_content):
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"""Test WebVTT context is generated on connection."""
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from starlette.testclient import TestClient
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from reflector.app import app
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with TestClient(app) as client:
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with client.websocket_connect(
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f"/v1/transcripts/{test_transcript_with_content.id}/chat"
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) as websocket:
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# Send request for context (new message type)
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websocket.send_json({"type": "get_context"})
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# Receive context response
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response = websocket.receive_json()
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assert response["type"] == "context"
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assert "webvtt" in response
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# Verify WebVTT format
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webvtt = response["webvtt"]
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assert webvtt.startswith("WEBVTT")
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assert "<v Alice>" in webvtt
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assert "<v Bob>" in webvtt
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assert "Hello everyone." in webvtt
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assert "Hi there!" in webvtt
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def test_chat_websocket_message_protocol(test_transcript_with_content):
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"""Test LLM message streaming protocol (unit test without actual LLM)."""
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# This test verifies the message protocol structure
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# Actual LLM integration requires mocking or live LLM
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import json
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# Verify message types match protocol
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assert json.dumps({"type": "message", "text": "test"}) # Client to server
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assert json.dumps({"type": "token", "text": "chunk"}) # Server to client
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assert json.dumps({"type": "done"}) # Server to client
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assert json.dumps({"type": "error", "message": "error"}) # Server to client
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