mirror of
https://gitee.com/wanwujie/deer-flow
synced 2026-04-09 08:44:45 +08:00
test: add unit tests of the app (#305)
* test: add unit tests in server * test: add unit tests of app.py in server * test: reformat the codes * test: add more tests to cover the exception part * test: add more tests on the server app part * fix: don't show the detail exception to the client * test: try to fix the CI test * fix: keep the TTS API call without exposure information * Fixed the unit test errors * Fixed the lint error
This commit is contained in:
Willem Jiang
@@ -201,17 +201,16 @@ def _make_event(event_type: str, data: dict[str, any]):
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@app.post("/api/tts")
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async def text_to_speech(request: TTSRequest):
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"""Convert text to speech using volcengine TTS API."""
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app_id = os.getenv("VOLCENGINE_TTS_APPID", "")
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if not app_id:
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raise HTTPException(status_code=400, detail="VOLCENGINE_TTS_APPID is not set")
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access_token = os.getenv("VOLCENGINE_TTS_ACCESS_TOKEN", "")
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if not access_token:
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raise HTTPException(
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status_code=400, detail="VOLCENGINE_TTS_ACCESS_TOKEN is not set"
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)
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try:
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app_id = os.getenv("VOLCENGINE_TTS_APPID", "")
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if not app_id:
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raise HTTPException(
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status_code=400, detail="VOLCENGINE_TTS_APPID is not set"
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)
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access_token = os.getenv("VOLCENGINE_TTS_ACCESS_TOKEN", "")
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if not access_token:
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raise HTTPException(
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status_code=400, detail="VOLCENGINE_TTS_ACCESS_TOKEN is not set"
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)
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cluster = os.getenv("VOLCENGINE_TTS_CLUSTER", "volcano_tts")
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voice_type = os.getenv("VOLCENGINE_TTS_VOICE_TYPE", "BV700_V2_streaming")
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@@ -249,6 +248,7 @@ async def text_to_speech(request: TTSRequest):
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)
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},
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)
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except Exception as e:
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logger.exception(f"Error in TTS endpoint: {str(e)}")
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raise HTTPException(status_code=500, detail=INTERNAL_SERVER_ERROR_DETAIL)
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@@ -388,10 +388,8 @@ async def mcp_server_metadata(request: MCPServerMetadataRequest):
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return response
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except Exception as e:
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if not isinstance(e, HTTPException):
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logger.exception(f"Error in MCP server metadata endpoint: {str(e)}")
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raise HTTPException(status_code=500, detail=INTERNAL_SERVER_ERROR_DETAIL)
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raise
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logger.exception(f"Error in MCP server metadata endpoint: {str(e)}")
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raise HTTPException(status_code=500, detail=INTERNAL_SERVER_ERROR_DETAIL)
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@app.get("/api/rag/config", response_model=RAGConfigResponse)
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@@ -129,4 +129,4 @@ class VolcengineTTS:
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except Exception as e:
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logger.exception(f"Error in TTS API call: {str(e)}")
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return {"success": False, "error": str(e), "audio_data": None}
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return {"success": False, "error": "TTS API call error", "audio_data": None}
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@@ -244,5 +244,6 @@ class TestVolcengineTTS:
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result = tts.text_to_speech("Hello, world!")
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# Verify the result
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assert result["success"] is False
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assert result["error"] == "Network error"
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# The TTS error is caught and returned as a string
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assert result["error"] == "TTS API call error"
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assert result["audio_data"] is None
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736
tests/unit/server/test_app.py
Normal file
736
tests/unit/server/test_app.py
Normal file
@@ -0,0 +1,736 @@
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# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
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# SPDX-License-Identifier: MIT
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import base64
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import json
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import os
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from unittest.mock import AsyncMock, MagicMock, patch, mock_open
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from uuid import uuid4
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from fastapi.responses import JSONResponse, StreamingResponse
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import pytest
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from fastapi.testclient import TestClient
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from fastapi import HTTPException, logger
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from src.server.app import app, _make_event, _astream_workflow_generator
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from src.server.mcp_request import MCPServerMetadataRequest
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from src.server.rag_request import RAGResourceRequest
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from src.config.report_style import ReportStyle
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from langgraph.types import Command
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from langchain_core.messages import ToolMessage
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from langchain_core.messages import AIMessageChunk
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from src.server.chat_request import (
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ChatRequest,
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TTSRequest,
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GeneratePodcastRequest,
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GeneratePPTRequest,
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GenerateProseRequest,
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EnhancePromptRequest,
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)
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@pytest.fixture
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def client():
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return TestClient(app)
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class TestMakeEvent:
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def test_make_event_with_content(self):
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event_type = "message_chunk"
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data = {"content": "Hello", "role": "assistant"}
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result = _make_event(event_type, data)
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expected = (
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'event: message_chunk\ndata: {"content": "Hello", "role": "assistant"}\n\n'
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)
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assert result == expected
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def test_make_event_with_empty_content(self):
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event_type = "message_chunk"
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data = {"content": "", "role": "assistant"}
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result = _make_event(event_type, data)
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expected = 'event: message_chunk\ndata: {"role": "assistant"}\n\n'
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assert result == expected
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def test_make_event_without_content(self):
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event_type = "tool_calls"
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data = {"role": "assistant", "tool_calls": []}
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result = _make_event(event_type, data)
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expected = (
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'event: tool_calls\ndata: {"role": "assistant", "tool_calls": []}\n\n'
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)
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assert result == expected
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class TestTTSEndpoint:
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@patch.dict(
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os.environ,
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{
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"VOLCENGINE_TTS_APPID": "test_app_id",
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"VOLCENGINE_TTS_ACCESS_TOKEN": "test_token",
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"VOLCENGINE_TTS_CLUSTER": "test_cluster",
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"VOLCENGINE_TTS_VOICE_TYPE": "test_voice",
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},
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)
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@patch("src.server.app.VolcengineTTS")
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def test_tts_success(self, mock_tts_class, client):
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mock_tts_instance = MagicMock()
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mock_tts_class.return_value = mock_tts_instance
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# Mock successful TTS response
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audio_data_b64 = base64.b64encode(b"fake_audio_data").decode()
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mock_tts_instance.text_to_speech.return_value = {
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"success": True,
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"audio_data": audio_data_b64,
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}
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request_data = {
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"text": "Hello world",
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"encoding": "mp3",
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"speed_ratio": 1.0,
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"volume_ratio": 1.0,
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"pitch_ratio": 1.0,
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"text_type": "plain",
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"with_frontend": True,
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"frontend_type": "unitTson",
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}
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response = client.post("/api/tts", json=request_data)
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assert response.status_code == 200
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assert response.headers["content-type"] == "audio/mp3"
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assert b"fake_audio_data" in response.content
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@patch.dict(os.environ, {}, clear=True)
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def test_tts_missing_app_id(self, client):
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request_data = {"text": "Hello world", "encoding": "mp3"}
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response = client.post("/api/tts", json=request_data)
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assert response.status_code == 400
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assert "VOLCENGINE_TTS_APPID is not set" in response.json()["detail"]
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@patch.dict(
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os.environ,
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{"VOLCENGINE_TTS_APPID": "test_app_id", "VOLCENGINE_TTS_ACCESS_TOKEN": ""},
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)
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def test_tts_missing_access_token(self, client):
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request_data = {"text": "Hello world", "encoding": "mp3"}
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response = client.post("/api/tts", json=request_data)
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assert response.status_code == 400
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assert "VOLCENGINE_TTS_ACCESS_TOKEN is not set" in response.json()["detail"]
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@patch.dict(
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os.environ,
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{
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"VOLCENGINE_TTS_APPID": "test_app_id",
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"VOLCENGINE_TTS_ACCESS_TOKEN": "test_token",
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},
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)
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@patch("src.server.app.VolcengineTTS")
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def test_tts_api_error(self, mock_tts_class, client):
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mock_tts_instance = MagicMock()
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mock_tts_class.return_value = mock_tts_instance
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# Mock TTS error response
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mock_tts_instance.text_to_speech.return_value = {
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"success": False,
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"error": "TTS API error",
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}
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request_data = {"text": "Hello world", "encoding": "mp3"}
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response = client.post("/api/tts", json=request_data)
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assert response.status_code == 500
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assert "Internal Server Error" in response.json()["detail"]
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@pytest.mark.skip(reason="TTS server exception is catched")
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@patch("src.server.app.VolcengineTTS")
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def test_tts_api_exception(self, mock_tts_class, client):
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mock_tts_instance = MagicMock()
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mock_tts_class.return_value = mock_tts_instance
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# Mock TTS error response
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mock_tts_instance.side_effect = Exception("TTS API error")
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request_data = {"text": "Hello world", "encoding": "mp3"}
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response = client.post("/api/tts", json=request_data)
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assert response.status_code == 500
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assert "Internal Server Error" in response.json()["detail"]
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class TestPodcastEndpoint:
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@patch("src.server.app.build_podcast_graph")
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def test_generate_podcast_success(self, mock_build_graph, client):
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mock_workflow = MagicMock()
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mock_build_graph.return_value = mock_workflow
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mock_workflow.invoke.return_value = {"output": b"fake_audio_data"}
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request_data = {"content": "Test content for podcast"}
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response = client.post("/api/podcast/generate", json=request_data)
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assert response.status_code == 200
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assert response.headers["content-type"] == "audio/mp3"
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assert response.content == b"fake_audio_data"
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@patch("src.server.app.build_podcast_graph")
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def test_generate_podcast_error(self, mock_build_graph, client):
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mock_build_graph.side_effect = Exception("Podcast generation failed")
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request_data = {"content": "Test content"}
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response = client.post("/api/podcast/generate", json=request_data)
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assert response.status_code == 500
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assert response.json()["detail"] == "Internal Server Error"
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class TestPPTEndpoint:
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@patch("src.server.app.build_ppt_graph")
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@patch("builtins.open", new_callable=mock_open, read_data=b"fake_ppt_data")
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def test_generate_ppt_success(self, mock_file, mock_build_graph, client):
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mock_workflow = MagicMock()
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mock_build_graph.return_value = mock_workflow
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mock_workflow.invoke.return_value = {
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"generated_file_path": "/fake/path/test.pptx"
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}
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request_data = {"content": "Test content for PPT"}
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response = client.post("/api/ppt/generate", json=request_data)
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assert response.status_code == 200
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assert (
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"application/vnd.openxmlformats-officedocument.presentationml.presentation"
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in response.headers["content-type"]
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)
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assert response.content == b"fake_ppt_data"
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@patch("src.server.app.build_ppt_graph")
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def test_generate_ppt_error(self, mock_build_graph, client):
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mock_build_graph.side_effect = Exception("PPT generation failed")
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request_data = {"content": "Test content"}
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response = client.post("/api/ppt/generate", json=request_data)
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assert response.status_code == 500
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assert response.json()["detail"] == "Internal Server Error"
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class TestEnhancePromptEndpoint:
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@patch("src.server.app.build_prompt_enhancer_graph")
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def test_enhance_prompt_success(self, mock_build_graph, client):
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mock_workflow = MagicMock()
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mock_build_graph.return_value = mock_workflow
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mock_workflow.invoke.return_value = {"output": "Enhanced prompt"}
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request_data = {
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"prompt": "Original prompt",
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"context": "Some context",
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"report_style": "academic",
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}
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response = client.post("/api/prompt/enhance", json=request_data)
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assert response.status_code == 200
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assert response.json()["result"] == "Enhanced prompt"
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@patch("src.server.app.build_prompt_enhancer_graph")
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def test_enhance_prompt_with_different_styles(self, mock_build_graph, client):
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mock_workflow = MagicMock()
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mock_build_graph.return_value = mock_workflow
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mock_workflow.invoke.return_value = {"output": "Enhanced prompt"}
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styles = [
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"ACADEMIC",
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"popular_science",
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"NEWS",
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"social_media",
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"invalid_style",
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]
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for style in styles:
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request_data = {"prompt": "Test prompt", "report_style": style}
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response = client.post("/api/prompt/enhance", json=request_data)
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assert response.status_code == 200
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@patch("src.server.app.build_prompt_enhancer_graph")
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def test_enhance_prompt_error(self, mock_build_graph, client):
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mock_build_graph.side_effect = Exception("Enhancement failed")
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request_data = {"prompt": "Test prompt"}
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response = client.post("/api/prompt/enhance", json=request_data)
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assert response.status_code == 500
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assert response.json()["detail"] == "Internal Server Error"
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class TestMCPEndpoint:
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@patch("src.server.app.load_mcp_tools")
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def test_mcp_server_metadata_success(self, mock_load_tools, client):
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mock_load_tools.return_value = [
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{"name": "test_tool", "description": "Test tool"}
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]
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request_data = {
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"transport": "stdio",
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"command": "test_command",
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"args": ["arg1", "arg2"],
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"env": {"ENV_VAR": "value"},
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}
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response = client.post("/api/mcp/server/metadata", json=request_data)
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assert response.status_code == 200
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response_data = response.json()
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assert response_data["transport"] == "stdio"
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assert response_data["command"] == "test_command"
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assert len(response_data["tools"]) == 1
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@patch("src.server.app.load_mcp_tools")
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def test_mcp_server_metadata_with_custom_timeout(self, mock_load_tools, client):
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mock_load_tools.return_value = []
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|
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request_data = {
|
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"transport": "stdio",
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"command": "test_command",
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"timeout_seconds": 600,
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}
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|
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response = client.post("/api/mcp/server/metadata", json=request_data)
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|
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assert response.status_code == 200
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mock_load_tools.assert_called_once()
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|
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@patch("src.server.app.load_mcp_tools")
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def test_mcp_server_metadata_with_exception(self, mock_load_tools, client):
|
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mock_load_tools.side_effect = HTTPException(
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status_code=400, detail="MCP Server Error"
|
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)
|
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|
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request_data = {
|
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"transport": "stdio",
|
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"command": "test_command",
|
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"args": ["arg1", "arg2"],
|
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"env": {"ENV_VAR": "value"},
|
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}
|
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|
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response = client.post("/api/mcp/server/metadata", json=request_data)
|
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|
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assert response.status_code == 500
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assert response.json()["detail"] == "Internal Server Error"
|
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|
||||
|
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class TestRAGEndpoints:
|
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@patch("src.server.app.SELECTED_RAG_PROVIDER", "test_provider")
|
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def test_rag_config(self, client):
|
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response = client.get("/api/rag/config")
|
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|
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assert response.status_code == 200
|
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assert response.json()["provider"] == "test_provider"
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|
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@patch("src.server.app.build_retriever")
|
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def test_rag_resources_with_retriever(self, mock_build_retriever, client):
|
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mock_retriever = MagicMock()
|
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mock_retriever.list_resources.return_value = [
|
||||
{
|
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"uri": "test_uri",
|
||||
"title": "Test Resource",
|
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"description": "Test Description",
|
||||
}
|
||||
]
|
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mock_build_retriever.return_value = mock_retriever
|
||||
|
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response = client.get("/api/rag/resources?query=test")
|
||||
|
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assert response.status_code == 200
|
||||
assert len(response.json()["resources"]) == 1
|
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|
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@patch("src.server.app.build_retriever")
|
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def test_rag_resources_without_retriever(self, mock_build_retriever, client):
|
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mock_build_retriever.return_value = None
|
||||
|
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response = client.get("/api/rag/resources")
|
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|
||||
assert response.status_code == 200
|
||||
assert response.json()["resources"] == []
|
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|
||||
|
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class TestChatStreamEndpoint:
|
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@patch("src.server.app.graph")
|
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def test_chat_stream_with_default_thread_id(self, mock_graph, client):
|
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# Mock the async stream
|
||||
async def mock_astream(*args, **kwargs):
|
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yield ("agent1", "step1", {"test": "data"})
|
||||
|
||||
mock_graph.astream = mock_astream
|
||||
|
||||
request_data = {
|
||||
"thread_id": "__default__",
|
||||
"messages": [{"role": "user", "content": "Hello"}],
|
||||
"resources": [],
|
||||
"max_plan_iterations": 3,
|
||||
"max_step_num": 10,
|
||||
"max_search_results": 5,
|
||||
"auto_accepted_plan": True,
|
||||
"interrupt_feedback": "",
|
||||
"mcp_settings": {},
|
||||
"enable_background_investigation": False,
|
||||
"report_style": "academic",
|
||||
}
|
||||
|
||||
response = client.post("/api/chat/stream", json=request_data)
|
||||
|
||||
assert response.status_code == 200
|
||||
assert response.headers["content-type"] == "text/event-stream; charset=utf-8"
|
||||
|
||||
|
||||
class TestAstreamWorkflowGenerator:
|
||||
@pytest.mark.asyncio
|
||||
@patch("src.server.app.graph")
|
||||
async def test_astream_workflow_generator_basic_flow(self, mock_graph):
|
||||
# Mock AI message chunk
|
||||
mock_message = AIMessageChunk(content="Hello world")
|
||||
mock_message.id = "msg_123"
|
||||
mock_message.response_metadata = {}
|
||||
mock_message.tool_calls = []
|
||||
mock_message.tool_call_chunks = []
|
||||
|
||||
# Mock the async stream - yield messages in the correct format
|
||||
async def mock_astream(*args, **kwargs):
|
||||
# Yield a tuple (message, metadata) instead of just [message]
|
||||
yield ("agent1:subagent", "messages", (mock_message, {}))
|
||||
|
||||
mock_graph.astream = mock_astream
|
||||
|
||||
messages = [{"role": "user", "content": "Hello"}]
|
||||
thread_id = "test_thread"
|
||||
resources = []
|
||||
|
||||
generator = _astream_workflow_generator(
|
||||
messages=messages,
|
||||
thread_id=thread_id,
|
||||
resources=resources,
|
||||
max_plan_iterations=3,
|
||||
max_step_num=10,
|
||||
max_search_results=5,
|
||||
auto_accepted_plan=True,
|
||||
interrupt_feedback="",
|
||||
mcp_settings={},
|
||||
enable_background_investigation=False,
|
||||
report_style=ReportStyle.ACADEMIC,
|
||||
enable_deep_thinking=False,
|
||||
)
|
||||
|
||||
events = []
|
||||
async for event in generator:
|
||||
events.append(event)
|
||||
|
||||
assert len(events) == 1
|
||||
assert "event: message_chunk" in events[0]
|
||||
assert "Hello world" in events[0]
|
||||
# Check for the actual agent name that appears in the output
|
||||
assert '"agent": "a"' in events[0]
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("src.server.app.graph")
|
||||
async def test_astream_workflow_generator_with_interrupt_feedback(self, mock_graph):
|
||||
|
||||
# Mock the async stream
|
||||
async def mock_astream(*args, **kwargs):
|
||||
# Verify that Command is passed as input when interrupt_feedback is provided
|
||||
assert isinstance(args[0], Command)
|
||||
assert "[edit_plan] Hello" in args[0].resume
|
||||
yield ("agent1", "step1", {"test": "data"})
|
||||
|
||||
mock_graph.astream = mock_astream
|
||||
|
||||
messages = [{"role": "user", "content": "Hello"}]
|
||||
|
||||
generator = _astream_workflow_generator(
|
||||
messages=messages,
|
||||
thread_id="test_thread",
|
||||
resources=[],
|
||||
max_plan_iterations=3,
|
||||
max_step_num=10,
|
||||
max_search_results=5,
|
||||
auto_accepted_plan=False,
|
||||
interrupt_feedback="edit_plan",
|
||||
mcp_settings={},
|
||||
enable_background_investigation=False,
|
||||
report_style=ReportStyle.ACADEMIC,
|
||||
enable_deep_thinking=False,
|
||||
)
|
||||
|
||||
events = []
|
||||
async for event in generator:
|
||||
events.append(event)
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("src.server.app.graph")
|
||||
async def test_astream_workflow_generator_interrupt_event(self, mock_graph):
|
||||
# Mock interrupt data
|
||||
mock_interrupt = MagicMock()
|
||||
mock_interrupt.ns = ["interrupt_id"]
|
||||
mock_interrupt.value = "Plan requires approval"
|
||||
|
||||
interrupt_data = {"__interrupt__": [mock_interrupt]}
|
||||
|
||||
async def mock_astream(*args, **kwargs):
|
||||
yield ("agent1", "step1", interrupt_data)
|
||||
|
||||
mock_graph.astream = mock_astream
|
||||
|
||||
generator = _astream_workflow_generator(
|
||||
messages=[],
|
||||
thread_id="test_thread",
|
||||
resources=[],
|
||||
max_plan_iterations=3,
|
||||
max_step_num=10,
|
||||
max_search_results=5,
|
||||
auto_accepted_plan=True,
|
||||
interrupt_feedback="",
|
||||
mcp_settings={},
|
||||
enable_background_investigation=False,
|
||||
report_style=ReportStyle.ACADEMIC,
|
||||
enable_deep_thinking=False,
|
||||
)
|
||||
|
||||
events = []
|
||||
async for event in generator:
|
||||
events.append(event)
|
||||
|
||||
assert len(events) == 1
|
||||
assert "event: interrupt" in events[0]
|
||||
assert "Plan requires approval" in events[0]
|
||||
assert "interrupt_id" in events[0]
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("src.server.app.graph")
|
||||
async def test_astream_workflow_generator_tool_message(self, mock_graph):
|
||||
|
||||
# Mock tool message
|
||||
mock_tool_message = ToolMessage(content="Tool result", tool_call_id="tool_123")
|
||||
mock_tool_message.id = "msg_456"
|
||||
|
||||
async def mock_astream(*args, **kwargs):
|
||||
yield ("agent1:subagent", "step1", (mock_tool_message, {}))
|
||||
|
||||
mock_graph.astream = mock_astream
|
||||
|
||||
generator = _astream_workflow_generator(
|
||||
messages=[],
|
||||
thread_id="test_thread",
|
||||
resources=[],
|
||||
max_plan_iterations=3,
|
||||
max_step_num=10,
|
||||
max_search_results=5,
|
||||
auto_accepted_plan=True,
|
||||
interrupt_feedback="",
|
||||
mcp_settings={},
|
||||
enable_background_investigation=False,
|
||||
report_style=ReportStyle.ACADEMIC,
|
||||
enable_deep_thinking=False,
|
||||
)
|
||||
|
||||
events = []
|
||||
async for event in generator:
|
||||
events.append(event)
|
||||
|
||||
assert len(events) == 1
|
||||
assert "event: tool_call_result" in events[0]
|
||||
assert "Tool result" in events[0]
|
||||
assert "tool_123" in events[0]
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("src.server.app.graph")
|
||||
async def test_astream_workflow_generator_ai_message_with_tool_calls(
|
||||
self, mock_graph
|
||||
):
|
||||
|
||||
# Mock AI message with tool calls
|
||||
mock_ai_message = AIMessageChunk(content="Making tool call")
|
||||
mock_ai_message.id = "msg_789"
|
||||
mock_ai_message.response_metadata = {"finish_reason": "tool_calls"}
|
||||
mock_ai_message.tool_calls = [{"name": "search", "args": {"query": "test"}}]
|
||||
mock_ai_message.tool_call_chunks = [{"name": "search"}]
|
||||
|
||||
async def mock_astream(*args, **kwargs):
|
||||
yield ("agent1:subagent", "step1", (mock_ai_message, {}))
|
||||
|
||||
mock_graph.astream = mock_astream
|
||||
|
||||
generator = _astream_workflow_generator(
|
||||
messages=[],
|
||||
thread_id="test_thread",
|
||||
resources=[],
|
||||
max_plan_iterations=3,
|
||||
max_step_num=10,
|
||||
max_search_results=5,
|
||||
auto_accepted_plan=True,
|
||||
interrupt_feedback="",
|
||||
mcp_settings={},
|
||||
enable_background_investigation=False,
|
||||
report_style=ReportStyle.ACADEMIC,
|
||||
enable_deep_thinking=False,
|
||||
)
|
||||
|
||||
events = []
|
||||
async for event in generator:
|
||||
events.append(event)
|
||||
|
||||
assert len(events) == 1
|
||||
assert "event: tool_calls" in events[0]
|
||||
assert "Making tool call" in events[0]
|
||||
assert "tool_calls" in events[0]
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("src.server.app.graph")
|
||||
async def test_astream_workflow_generator_ai_message_with_tool_call_chunks(
|
||||
self, mock_graph
|
||||
):
|
||||
|
||||
# Mock AI message with only tool call chunks
|
||||
mock_ai_message = AIMessageChunk(content="Streaming tool call")
|
||||
mock_ai_message.id = "msg_101"
|
||||
mock_ai_message.response_metadata = {}
|
||||
mock_ai_message.tool_calls = []
|
||||
mock_ai_message.tool_call_chunks = [{"name": "search", "index": 0}]
|
||||
|
||||
async def mock_astream(*args, **kwargs):
|
||||
yield ("agent1:subagent", "step1", (mock_ai_message, {}))
|
||||
|
||||
mock_graph.astream = mock_astream
|
||||
|
||||
generator = _astream_workflow_generator(
|
||||
messages=[],
|
||||
thread_id="test_thread",
|
||||
resources=[],
|
||||
max_plan_iterations=3,
|
||||
max_step_num=10,
|
||||
max_search_results=5,
|
||||
auto_accepted_plan=True,
|
||||
interrupt_feedback="",
|
||||
mcp_settings={},
|
||||
enable_background_investigation=False,
|
||||
report_style=ReportStyle.ACADEMIC,
|
||||
enable_deep_thinking=False,
|
||||
)
|
||||
|
||||
events = []
|
||||
async for event in generator:
|
||||
events.append(event)
|
||||
|
||||
assert len(events) == 1
|
||||
assert "event: tool_call_chunks" in events[0]
|
||||
assert "Streaming tool call" in events[0]
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("src.server.app.graph")
|
||||
async def test_astream_workflow_generator_with_finish_reason(self, mock_graph):
|
||||
|
||||
# Mock AI message with finish reason
|
||||
mock_ai_message = AIMessageChunk(content="Complete response")
|
||||
mock_ai_message.id = "msg_finish"
|
||||
mock_ai_message.response_metadata = {"finish_reason": "stop"}
|
||||
mock_ai_message.tool_calls = []
|
||||
mock_ai_message.tool_call_chunks = []
|
||||
|
||||
async def mock_astream(*args, **kwargs):
|
||||
yield ("agent1:subagent", "step1", (mock_ai_message, {}))
|
||||
|
||||
mock_graph.astream = mock_astream
|
||||
|
||||
generator = _astream_workflow_generator(
|
||||
messages=[],
|
||||
thread_id="test_thread",
|
||||
resources=[],
|
||||
max_plan_iterations=3,
|
||||
max_step_num=10,
|
||||
max_search_results=5,
|
||||
auto_accepted_plan=True,
|
||||
interrupt_feedback="",
|
||||
mcp_settings={},
|
||||
enable_background_investigation=False,
|
||||
report_style=ReportStyle.ACADEMIC,
|
||||
enable_deep_thinking=False,
|
||||
)
|
||||
|
||||
events = []
|
||||
async for event in generator:
|
||||
events.append(event)
|
||||
|
||||
assert len(events) == 1
|
||||
assert "event: message_chunk" in events[0]
|
||||
assert "finish_reason" in events[0]
|
||||
assert "stop" in events[0]
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("src.server.app.graph")
|
||||
async def test_astream_workflow_generator_config_passed_correctly(self, mock_graph):
|
||||
|
||||
mock_ai_message = AIMessageChunk(content="Test")
|
||||
mock_ai_message.id = "test_id"
|
||||
mock_ai_message.response_metadata = {}
|
||||
mock_ai_message.tool_calls = []
|
||||
mock_ai_message.tool_call_chunks = []
|
||||
|
||||
async def verify_config(*args, **kwargs):
|
||||
config = kwargs.get("config", {})
|
||||
assert config["thread_id"] == "test_thread"
|
||||
assert config["max_plan_iterations"] == 5
|
||||
assert config["max_step_num"] == 20
|
||||
assert config["max_search_results"] == 10
|
||||
assert config["report_style"] == ReportStyle.NEWS.value
|
||||
yield ("agent1", "messages", [mock_ai_message])
|
||||
|
||||
|
||||
class TestGenerateProseEndpoint:
|
||||
@patch("src.server.app.build_prose_graph")
|
||||
def test_generate_prose_success(self, mock_build_graph, client):
|
||||
# Mock the workflow and its astream method
|
||||
mock_workflow = MagicMock()
|
||||
mock_build_graph.return_value = mock_workflow
|
||||
|
||||
class MockEvent:
|
||||
def __init__(self, content):
|
||||
self.content = content
|
||||
|
||||
async def mock_astream(*args, **kwargs):
|
||||
yield (None, [MockEvent("Generated prose 1")])
|
||||
yield (None, [MockEvent("Generated prose 2")])
|
||||
|
||||
mock_workflow.astream.return_value = mock_astream()
|
||||
request_data = {
|
||||
"prompt": "Write a story.",
|
||||
"option": "default",
|
||||
"command": "generate",
|
||||
}
|
||||
|
||||
response = client.post("/api/prose/generate", json=request_data)
|
||||
|
||||
assert response.status_code == 200
|
||||
assert response.headers["content-type"].startswith("text/event-stream")
|
||||
|
||||
# Read the streaming response content
|
||||
content = b"".join(response.iter_bytes())
|
||||
assert b"Generated prose 1" in content or b"Generated prose 2" in content
|
||||
|
||||
@patch("src.server.app.build_prose_graph")
|
||||
def test_generate_prose_error(self, mock_build_graph, client):
|
||||
mock_build_graph.side_effect = Exception("Prose generation failed")
|
||||
request_data = {
|
||||
"prompt": "Write a story.",
|
||||
"option": "default",
|
||||
"command": "generate",
|
||||
}
|
||||
response = client.post("/api/prose/generate", json=request_data)
|
||||
assert response.status_code == 500
|
||||
assert response.json()["detail"] == "Internal Server Error"
|
||||
168
tests/unit/server/test_chat_request.py
Normal file
168
tests/unit/server/test_chat_request.py
Normal file
@@ -0,0 +1,168 @@
|
||||
# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
|
||||
# SPDX-License-Identifier: MIT
|
||||
|
||||
import asyncio # Ensure asyncio is imported
|
||||
import pytest
|
||||
from pydantic import ValidationError
|
||||
from src.config.report_style import ReportStyle
|
||||
from src.rag.retriever import Resource
|
||||
from unittest.mock import AsyncMock, patch, MagicMock
|
||||
from fastapi import HTTPException
|
||||
|
||||
from src.server.chat_request import (
|
||||
ContentItem,
|
||||
ChatMessage,
|
||||
ChatRequest,
|
||||
TTSRequest,
|
||||
GeneratePodcastRequest,
|
||||
GeneratePPTRequest,
|
||||
GenerateProseRequest,
|
||||
EnhancePromptRequest,
|
||||
)
|
||||
import src.server.mcp_utils as mcp_utils # Assuming mcp_utils is the module to test
|
||||
|
||||
|
||||
def test_content_item_text_and_image():
|
||||
item_text = ContentItem(type="text", text="hello")
|
||||
assert item_text.type == "text"
|
||||
assert item_text.text == "hello"
|
||||
assert item_text.image_url is None
|
||||
|
||||
item_image = ContentItem(type="image", image_url="http://img.com/1.png")
|
||||
assert item_image.type == "image"
|
||||
assert item_image.text is None
|
||||
assert item_image.image_url == "http://img.com/1.png"
|
||||
|
||||
|
||||
def test_chat_message_with_string_content():
|
||||
msg = ChatMessage(role="user", content="Hello!")
|
||||
assert msg.role == "user"
|
||||
assert msg.content == "Hello!"
|
||||
|
||||
|
||||
def test_chat_message_with_content_items():
|
||||
items = [ContentItem(type="text", text="hi")]
|
||||
msg = ChatMessage(role="assistant", content=items)
|
||||
assert msg.role == "assistant"
|
||||
assert isinstance(msg.content, list)
|
||||
assert msg.content[0].type == "text"
|
||||
|
||||
|
||||
def test_chat_request_defaults():
|
||||
req = ChatRequest()
|
||||
assert req.messages == []
|
||||
assert req.resources == []
|
||||
assert req.debug is False
|
||||
assert req.thread_id == "__default__"
|
||||
assert req.max_plan_iterations == 1
|
||||
assert req.max_step_num == 3
|
||||
assert req.max_search_results == 3
|
||||
assert req.auto_accepted_plan is False
|
||||
assert req.interrupt_feedback is None
|
||||
assert req.mcp_settings is None
|
||||
assert req.enable_background_investigation is True
|
||||
assert req.report_style == ReportStyle.ACADEMIC
|
||||
|
||||
|
||||
def test_chat_request_with_values():
|
||||
resource = Resource(
|
||||
name="test", type="doc", uri="some-uri-value", title="some-title-value"
|
||||
)
|
||||
msg = ChatMessage(role="user", content="hi")
|
||||
req = ChatRequest(
|
||||
messages=[msg],
|
||||
resources=[resource],
|
||||
debug=True,
|
||||
thread_id="tid",
|
||||
max_plan_iterations=2,
|
||||
max_step_num=5,
|
||||
max_search_results=10,
|
||||
auto_accepted_plan=True,
|
||||
interrupt_feedback="stop",
|
||||
mcp_settings={"foo": "bar"},
|
||||
enable_background_investigation=False,
|
||||
report_style="academic",
|
||||
)
|
||||
assert req.messages[0].role == "user"
|
||||
assert req.debug is True
|
||||
assert req.thread_id == "tid"
|
||||
assert req.max_plan_iterations == 2
|
||||
assert req.max_step_num == 5
|
||||
assert req.max_search_results == 10
|
||||
assert req.auto_accepted_plan is True
|
||||
assert req.interrupt_feedback == "stop"
|
||||
assert req.mcp_settings == {"foo": "bar"}
|
||||
assert req.enable_background_investigation is False
|
||||
assert req.report_style == ReportStyle.ACADEMIC
|
||||
|
||||
|
||||
def test_tts_request_defaults():
|
||||
req = TTSRequest(text="hello")
|
||||
assert req.text == "hello"
|
||||
assert req.voice_type == "BV700_V2_streaming"
|
||||
assert req.encoding == "mp3"
|
||||
assert req.speed_ratio == 1.0
|
||||
assert req.volume_ratio == 1.0
|
||||
assert req.pitch_ratio == 1.0
|
||||
assert req.text_type == "plain"
|
||||
assert req.with_frontend == 1
|
||||
assert req.frontend_type == "unitTson"
|
||||
|
||||
|
||||
def test_generate_podcast_request():
|
||||
req = GeneratePodcastRequest(content="Podcast content")
|
||||
assert req.content == "Podcast content"
|
||||
|
||||
|
||||
def test_generate_ppt_request():
|
||||
req = GeneratePPTRequest(content="PPT content")
|
||||
assert req.content == "PPT content"
|
||||
|
||||
|
||||
def test_generate_prose_request():
|
||||
req = GenerateProseRequest(prompt="Write a poem", option="poet", command="rhyme")
|
||||
assert req.prompt == "Write a poem"
|
||||
assert req.option == "poet"
|
||||
assert req.command == "rhyme"
|
||||
|
||||
req2 = GenerateProseRequest(prompt="Write", option="short")
|
||||
assert req2.command == ""
|
||||
|
||||
|
||||
def test_enhance_prompt_request_defaults():
|
||||
req = EnhancePromptRequest(prompt="Improve this")
|
||||
assert req.prompt == "Improve this"
|
||||
assert req.context == ""
|
||||
assert req.report_style == "academic"
|
||||
|
||||
|
||||
def test_content_item_validation_error():
|
||||
with pytest.raises(ValidationError):
|
||||
ContentItem() # missing required 'type'
|
||||
|
||||
|
||||
def test_chat_message_validation_error():
|
||||
with pytest.raises(ValidationError):
|
||||
ChatMessage(role="user") # missing content
|
||||
|
||||
|
||||
def test_tts_request_validation_error():
|
||||
with pytest.raises(ValidationError):
|
||||
TTSRequest() # missing required 'text'
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("src.server.mcp_utils._get_tools_from_client_session", new_callable=AsyncMock)
|
||||
@patch("src.server.mcp_utils.StdioServerParameters")
|
||||
@patch("src.server.mcp_utils.stdio_client")
|
||||
async def test_load_mcp_tools_exception_handling(
|
||||
mock_stdio_client, mock_StdioServerParameters, mock_get_tools
|
||||
): # Changed to async def
|
||||
mock_get_tools.side_effect = Exception("unexpected error")
|
||||
mock_StdioServerParameters.return_value = MagicMock()
|
||||
mock_stdio_client.return_value = MagicMock()
|
||||
|
||||
with pytest.raises(HTTPException) as exc:
|
||||
await mcp_utils.load_mcp_tools(server_type="stdio", command="foo") # Use await
|
||||
assert exc.value.status_code == 500
|
||||
assert "unexpected error" in exc.value.detail
|
||||
73
tests/unit/server/test_mcp_request.py
Normal file
73
tests/unit/server/test_mcp_request.py
Normal file
@@ -0,0 +1,73 @@
|
||||
# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
|
||||
# SPDX-License-Identifier: MIT
|
||||
|
||||
import pytest
|
||||
from pydantic import ValidationError
|
||||
from src.server.mcp_request import MCPServerMetadataRequest, MCPServerMetadataResponse
|
||||
|
||||
|
||||
def test_mcp_server_metadata_request_required_fields():
|
||||
# 'transport' is required
|
||||
req = MCPServerMetadataRequest(transport="stdio")
|
||||
assert req.transport == "stdio"
|
||||
assert req.command is None
|
||||
assert req.args is None
|
||||
assert req.url is None
|
||||
assert req.env is None
|
||||
assert req.timeout_seconds is None
|
||||
|
||||
|
||||
def test_mcp_server_metadata_request_optional_fields():
|
||||
req = MCPServerMetadataRequest(
|
||||
transport="sse",
|
||||
command="run",
|
||||
args=["--foo", "bar"],
|
||||
url="http://localhost:8080",
|
||||
env={"FOO": "BAR"},
|
||||
timeout_seconds=30,
|
||||
)
|
||||
assert req.transport == "sse"
|
||||
assert req.command == "run"
|
||||
assert req.args == ["--foo", "bar"]
|
||||
assert req.url == "http://localhost:8080"
|
||||
assert req.env == {"FOO": "BAR"}
|
||||
assert req.timeout_seconds == 30
|
||||
|
||||
|
||||
def test_mcp_server_metadata_request_missing_transport():
|
||||
with pytest.raises(ValidationError):
|
||||
MCPServerMetadataRequest()
|
||||
|
||||
|
||||
def test_mcp_server_metadata_response_required_fields():
|
||||
resp = MCPServerMetadataResponse(transport="stdio")
|
||||
assert resp.transport == "stdio"
|
||||
assert resp.command is None
|
||||
assert resp.args is None
|
||||
assert resp.url is None
|
||||
assert resp.env is None
|
||||
assert resp.tools == []
|
||||
|
||||
|
||||
def test_mcp_server_metadata_response_optional_fields():
|
||||
resp = MCPServerMetadataResponse(
|
||||
transport="sse",
|
||||
command="run",
|
||||
args=["--foo", "bar"],
|
||||
url="http://localhost:8080",
|
||||
env={"FOO": "BAR"},
|
||||
tools=["tool1", "tool2"],
|
||||
)
|
||||
assert resp.transport == "sse"
|
||||
assert resp.command == "run"
|
||||
assert resp.args == ["--foo", "bar"]
|
||||
assert resp.url == "http://localhost:8080"
|
||||
assert resp.env == {"FOO": "BAR"}
|
||||
assert resp.tools == ["tool1", "tool2"]
|
||||
|
||||
|
||||
def test_mcp_server_metadata_response_tools_default_factory():
|
||||
resp1 = MCPServerMetadataResponse(transport="stdio")
|
||||
resp2 = MCPServerMetadataResponse(transport="stdio")
|
||||
resp1.tools.append("toolA")
|
||||
assert resp2.tools == [] # Should not share list between instances
|
||||
121
tests/unit/server/test_mcp_utils.py
Normal file
121
tests/unit/server/test_mcp_utils.py
Normal file
@@ -0,0 +1,121 @@
|
||||
# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
|
||||
# SPDX-License-Identifier: MIT
|
||||
|
||||
import pytest
|
||||
from unittest.mock import AsyncMock, patch, MagicMock
|
||||
from fastapi import HTTPException
|
||||
|
||||
import src.server.mcp_utils as mcp_utils
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("src.server.mcp_utils.ClientSession")
|
||||
async def test__get_tools_from_client_session_success(mock_ClientSession):
|
||||
mock_read = AsyncMock()
|
||||
mock_write = AsyncMock()
|
||||
mock_context_manager = AsyncMock()
|
||||
mock_context_manager.__aenter__.return_value = (mock_read, mock_write)
|
||||
mock_context_manager.__aexit__.return_value = None
|
||||
|
||||
mock_session = AsyncMock()
|
||||
mock_session.__aenter__.return_value = mock_session
|
||||
mock_session.__aexit__.return_value = None
|
||||
mock_session.initialize = AsyncMock()
|
||||
mock_tools_obj = MagicMock()
|
||||
mock_tools_obj.tools = ["tool1", "tool2"]
|
||||
mock_session.list_tools = AsyncMock(return_value=mock_tools_obj)
|
||||
mock_ClientSession.return_value = mock_session
|
||||
|
||||
result = await mcp_utils._get_tools_from_client_session(
|
||||
mock_context_manager, timeout_seconds=5
|
||||
)
|
||||
assert result == ["tool1", "tool2"]
|
||||
mock_session.initialize.assert_awaited_once()
|
||||
mock_session.list_tools.assert_awaited_once()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("src.server.mcp_utils._get_tools_from_client_session", new_callable=AsyncMock)
|
||||
@patch("src.server.mcp_utils.StdioServerParameters")
|
||||
@patch("src.server.mcp_utils.stdio_client")
|
||||
async def test_load_mcp_tools_stdio_success(
|
||||
mock_stdio_client, mock_StdioServerParameters, mock_get_tools
|
||||
):
|
||||
mock_get_tools.return_value = ["toolA"]
|
||||
params = MagicMock()
|
||||
mock_StdioServerParameters.return_value = params
|
||||
mock_client = MagicMock()
|
||||
mock_stdio_client.return_value = mock_client
|
||||
|
||||
result = await mcp_utils.load_mcp_tools(
|
||||
server_type="stdio",
|
||||
command="echo",
|
||||
args=["foo"],
|
||||
env={"FOO": "BAR"},
|
||||
timeout_seconds=3,
|
||||
)
|
||||
assert result == ["toolA"]
|
||||
mock_StdioServerParameters.assert_called_once_with(
|
||||
command="echo", args=["foo"], env={"FOO": "BAR"}
|
||||
)
|
||||
mock_stdio_client.assert_called_once_with(params)
|
||||
mock_get_tools.assert_awaited_once_with(mock_client, 3)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_load_mcp_tools_stdio_missing_command():
|
||||
with pytest.raises(HTTPException) as exc:
|
||||
await mcp_utils.load_mcp_tools(server_type="stdio")
|
||||
assert exc.value.status_code == 400
|
||||
assert "Command is required" in exc.value.detail
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("src.server.mcp_utils._get_tools_from_client_session", new_callable=AsyncMock)
|
||||
@patch("src.server.mcp_utils.sse_client")
|
||||
async def test_load_mcp_tools_sse_success(mock_sse_client, mock_get_tools):
|
||||
mock_get_tools.return_value = ["toolB"]
|
||||
mock_client = MagicMock()
|
||||
mock_sse_client.return_value = mock_client
|
||||
|
||||
result = await mcp_utils.load_mcp_tools(
|
||||
server_type="sse",
|
||||
url="http://localhost:1234",
|
||||
timeout_seconds=7,
|
||||
)
|
||||
assert result == ["toolB"]
|
||||
mock_sse_client.assert_called_once_with(url="http://localhost:1234")
|
||||
mock_get_tools.assert_awaited_once_with(mock_client, 7)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_load_mcp_tools_sse_missing_url():
|
||||
with pytest.raises(HTTPException) as exc:
|
||||
await mcp_utils.load_mcp_tools(server_type="sse")
|
||||
assert exc.value.status_code == 400
|
||||
assert "URL is required" in exc.value.detail
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_load_mcp_tools_unsupported_type():
|
||||
with pytest.raises(HTTPException) as exc:
|
||||
await mcp_utils.load_mcp_tools(server_type="unknown")
|
||||
assert exc.value.status_code == 400
|
||||
assert "Unsupported server type" in exc.value.detail
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("src.server.mcp_utils._get_tools_from_client_session", new_callable=AsyncMock)
|
||||
@patch("src.server.mcp_utils.StdioServerParameters")
|
||||
@patch("src.server.mcp_utils.stdio_client")
|
||||
async def test_load_mcp_tools_exception_handling(
|
||||
mock_stdio_client, mock_StdioServerParameters, mock_get_tools
|
||||
):
|
||||
mock_get_tools.side_effect = Exception("unexpected error")
|
||||
mock_StdioServerParameters.return_value = MagicMock()
|
||||
mock_stdio_client.return_value = MagicMock()
|
||||
|
||||
with pytest.raises(HTTPException) as exc:
|
||||
await mcp_utils.load_mcp_tools(server_type="stdio", command="foo")
|
||||
assert exc.value.status_code == 500
|
||||
assert "unexpected error" in exc.value.detail
|
||||
Reference in New Issue
Block a user