feat: 1. replace black with ruff for fomatting and sort import (#489)

2. use tavily from`langchain-tavily` rather than the older one from `langchain-community`

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>

tests/integration/test_nodes.py

@@ -1,21 +1,26 @@
-from collections import namedtuple
 import json
+from collections import namedtuple
+from unittest.mock import MagicMock, patch
+
 import pytest
-from unittest.mock import patch, MagicMock
-from src.graph.nodes import planner_node
-from src.graph.nodes import human_feedback_node
-from src.graph.nodes import coordinator_node
-from src.graph.nodes import reporter_node
-from src.graph.nodes import _execute_agent_step
-from src.graph.nodes import _setup_and_execute_agent_step
-from src.graph.nodes import researcher_node
+
+from src.graph.nodes import (
+    _execute_agent_step,
+    _setup_and_execute_agent_step,
+    coordinator_node,
+    human_feedback_node,
+    planner_node,
+    reporter_node,
+    researcher_node,
+)
 
 # 在这里 mock 掉 get_llm_by_type，避免 ValueError
 with patch("src.llms.llm.get_llm_by_type", return_value=MagicMock()):
-    from langgraph.types import Command
-    from src.graph.nodes import background_investigation_node
-    from src.config import SearchEngine
     from langchain_core.messages import HumanMessage
+    from langgraph.types import Command
+
+    from src.config import SearchEngine
+    from src.graph.nodes import background_investigation_node
 
 
 # Mock data

tests/integration/test_template.py

@@ -2,7 +2,8 @@
 # SPDX-License-Identifier: MIT
 
 import pytest
-from src.prompts.template import get_prompt_template, apply_prompt_template
+
+from src.prompts.template import apply_prompt_template, get_prompt_template
 
 
 def test_get_prompt_template_success():

tests/integration/test_tts.py

@@ -1,9 +1,9 @@
 # Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
 # SPDX-License-Identifier: MIT
 
-import json
-from unittest.mock import patch, MagicMock
 import base64
+import json
+from unittest.mock import MagicMock, patch
 
 from src.tools.tts import VolcengineTTS