Fix pytest hanging and Mock compatibility issues
- Set environment variables before importing DEFAULT_CONFIG to prevent hanging - Add MockResult class for proper tool_calls handling - Add error handling in market_analyst for Mock objects - Remove temporary test files
This commit is contained in:
佐藤優一
parent
e8c01907d6
commit
dbeede9a31
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@ -1,103 +0,0 @@
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#!/usr/bin/env python
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"""Test that mock toolkit fixes work for TradingAgentsGraph."""
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from unittest.mock import Mock, patch
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import sys
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import os
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# Add project root to path
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from tests.unit.graph.mock_toolkit_fix import create_mock_toolkit_with_tools
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def test_mock_toolkit_has_all_methods():
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"""Test that the mock toolkit has all required methods."""
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toolkit = create_mock_toolkit_with_tools()
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required_methods = [
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"get_YFin_data",
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"get_YFin_data_online",
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"get_stockstats_indicators_report",
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"get_stockstats_indicators_report_online",
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"get_reddit_stock_info",
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"get_stock_news_openai",
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]
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for method_name in required_methods:
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assert hasattr(toolkit, method_name), f"Missing {method_name}"
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method = getattr(toolkit, method_name)
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assert hasattr(method, "__name__"), f"{method_name} missing __name__"
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assert method.__name__ == method_name, f"{method_name} has wrong __name__"
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assert callable(method), f"{method_name} is not callable"
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print("✓ Mock toolkit has all required methods with proper attributes")
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return True
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def test_tool_node_creation():
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"""Test that ToolNode can be created with mocked toolkit methods."""
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# Mock the ToolNode class
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with patch("langgraph.prebuilt.ToolNode") as MockToolNode:
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MockToolNode.return_value = Mock()
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toolkit = create_mock_toolkit_with_tools()
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# Simulate creating tool nodes like in TradingAgentsGraph
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from langgraph.prebuilt import ToolNode
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tool_node = ToolNode(
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[
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toolkit.get_YFin_data,
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toolkit.get_stockstats_indicators_report,
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]
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)
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# Should not raise an error
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assert MockToolNode.called
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print("✓ ToolNode can be created with mocked toolkit methods")
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return True
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def test_tool_decorator():
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"""Test that @tool decorator works with mocked functions."""
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toolkit = create_mock_toolkit_with_tools()
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# The @tool decorator expects __name__ attribute
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for attr_name in dir(toolkit):
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if attr_name.startswith("get_"):
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method = getattr(toolkit, attr_name)
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assert hasattr(method, "__name__"), f"{attr_name} missing __name__"
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print("✓ All toolkit methods are compatible with @tool decorator")
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return True
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if __name__ == "__main__":
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print("Testing mock toolkit fixes for TradingAgentsGraph...")
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print("-" * 50)
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tests = [
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test_mock_toolkit_has_all_methods,
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test_tool_node_creation,
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test_tool_decorator,
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]
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all_passed = True
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for test in tests:
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try:
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if not test():
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all_passed = False
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print(f"✗ {test.__name__} failed")
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except Exception as e:
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all_passed = False
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print(f"✗ {test.__name__} raised exception: {e}")
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import traceback
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traceback.print_exc()
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print("-" * 50)
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if all_passed:
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print("✅ All tests passed! TradingAgentsGraph mock fixes are working.")
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else:
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print("❌ Some tests failed. Check the output above.")
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126
test_mock_fix.py
126
test_mock_fix.py
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@ -1,126 +0,0 @@
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#!/usr/bin/env python
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"""Test script to verify mock fixes without full imports."""
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from unittest.mock import Mock
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def create_mock_toolkit():
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"""Create a properly mocked toolkit."""
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toolkit = Mock()
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toolkit.config = {"online_tools": False}
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# Create proper mock functions with __name__ attributes
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def mock_get_YFin_data():
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return "Mock YFin data"
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def mock_get_stockstats_indicators_report():
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return "Mock stockstats report"
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# Wrap functions in Mock but preserve __name__
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toolkit.get_YFin_data = Mock(side_effect=mock_get_YFin_data)
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toolkit.get_YFin_data.name = "get_YFin_data"
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toolkit.get_YFin_data.__name__ = "get_YFin_data"
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toolkit.get_stockstats_indicators_report = Mock(
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side_effect=mock_get_stockstats_indicators_report
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)
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toolkit.get_stockstats_indicators_report.name = "get_stockstats_indicators_report"
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toolkit.get_stockstats_indicators_report.__name__ = "get_stockstats_indicators_report"
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return toolkit
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def test_mock_has_name_attribute():
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"""Test that mocked functions have __name__ attribute."""
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toolkit = create_mock_toolkit()
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# Check get_YFin_data
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assert hasattr(toolkit.get_YFin_data, '__name__'), "get_YFin_data missing __name__"
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assert toolkit.get_YFin_data.__name__ == "get_YFin_data", "get_YFin_data has wrong __name__"
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assert callable(toolkit.get_YFin_data), "get_YFin_data is not callable"
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# Check get_stockstats_indicators_report
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assert hasattr(toolkit.get_stockstats_indicators_report, '__name__'), \
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"get_stockstats_indicators_report missing __name__"
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assert toolkit.get_stockstats_indicators_report.__name__ == "get_stockstats_indicators_report", \
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"get_stockstats_indicators_report has wrong __name__"
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assert callable(toolkit.get_stockstats_indicators_report), \
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"get_stockstats_indicators_report is not callable"
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print("✓ All mock functions have proper __name__ attributes")
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return True
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def test_mock_can_be_used_as_tool():
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"""Test that mocked functions can be used as tools."""
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toolkit = create_mock_toolkit()
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# Simulate what happens when tools are collected
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tools = [
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toolkit.get_YFin_data,
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toolkit.get_stockstats_indicators_report
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]
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# Check that we can get names from tools
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tool_names = []
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for tool in tools:
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if hasattr(tool, 'name'):
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tool_names.append(tool.name)
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elif hasattr(tool, '__name__'):
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tool_names.append(tool.__name__)
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else:
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raise ValueError(f"Tool {tool} has neither 'name' nor '__name__' attribute")
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assert "get_YFin_data" in tool_names, "get_YFin_data not in tool names"
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assert "get_stockstats_indicators_report" in tool_names, \
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"get_stockstats_indicators_report not in tool names"
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print(f"✓ Tools can be collected: {tool_names}")
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return True
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def test_mock_functions_return_correct_values():
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"""Test that mock functions return expected values."""
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toolkit = create_mock_toolkit()
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# Test return values
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result1 = toolkit.get_YFin_data()
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assert result1 == "Mock YFin data", f"Unexpected return: {result1}"
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result2 = toolkit.get_stockstats_indicators_report()
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assert result2 == "Mock stockstats report", f"Unexpected return: {result2}"
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# Test that Mock tracking works
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assert toolkit.get_YFin_data.called, "get_YFin_data not marked as called"
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assert toolkit.get_stockstats_indicators_report.called, \
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"get_stockstats_indicators_report not marked as called"
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print("✓ Mock functions return correct values and track calls")
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return True
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if __name__ == "__main__":
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print("Testing mock toolkit fixes...")
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print("-" * 40)
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tests = [
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test_mock_has_name_attribute,
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test_mock_can_be_used_as_tool,
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test_mock_functions_return_correct_values
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]
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all_passed = True
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for test in tests:
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try:
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if not test():
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all_passed = False
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print(f"✗ {test.__name__} failed")
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except Exception as e:
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all_passed = False
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print(f"✗ {test.__name__} raised exception: {e}")
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print("-" * 40)
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if all_passed:
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print("✅ All tests passed! Mock fixes are working correctly.")
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else:
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print("❌ Some tests failed. Check the output above.")
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@ -6,6 +6,13 @@ from unittest.mock import Mock
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import pytest
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# Set test environment variables before importing DEFAULT_CONFIG
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# This prevents hanging during config loading due to missing API keys
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os.environ.setdefault("OPENAI_API_KEY", "test-key")
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os.environ.setdefault("FINNHUB_API_KEY", "test-key")
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os.environ.setdefault("REDDIT_CLIENT_ID", "test-id")
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os.environ.setdefault("REDDIT_CLIENT_SECRET", "test-secret")
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from tradingagents.default_config import DEFAULT_CONFIG
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@ -26,24 +33,41 @@ def sample_config():
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return config
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class MockResult:
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"""Mock result that always has proper tool_calls attribute."""
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def __init__(self, content="Test response", tool_calls=None):
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self.content = content
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self.tool_calls = tool_calls if tool_calls is not None else []
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@pytest.fixture
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def mock_llm():
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"""Mock LLM for testing."""
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mock = Mock()
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mock.model_name = "test-model"
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# Create a mock result with tool_calls attribute
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mock_result = Mock()
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mock_result.content = "Test response"
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mock_result.tool_calls = [] # Add tool_calls attribute for len() check
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# Create a default mock result with proper tool_calls
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default_result = MockResult()
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# Fix: bind_tools returns a chain, chain.invoke returns the result
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mock_chain = Mock()
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mock_chain.invoke.return_value = mock_result
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mock.bind_tools.return_value = mock_chain
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# Simple approach: create a mock that will be returned by any chain operation
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chain_result = Mock()
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chain_result.return_value = default_result
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# Mock the bind_tools to return a mock that handles piping
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bound_mock = Mock()
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bound_mock.invoke = Mock(return_value=default_result)
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# Handle the pipe operation by returning a mock that also returns our result
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def handle_pipe(other):
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pipe_result = Mock()
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pipe_result.invoke = Mock(return_value=default_result)
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return pipe_result
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bound_mock.__ror__ = handle_pipe
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mock.bind_tools.return_value = bound_mock
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# Keep direct invoke for backward compatibility
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mock.invoke.return_value = mock_result
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mock.invoke.return_value = default_result
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return mock
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@ -268,14 +292,8 @@ def sample_financial_data():
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@pytest.fixture(autouse=True)
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def setup_test_environment(monkeypatch, temp_data_dir):
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"""Set up test environment variables and directories."""
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# Set test environment variables
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monkeypatch.setenv("OPENAI_API_KEY", "test-key")
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monkeypatch.setenv("FINNHUB_API_KEY", "test-key")
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monkeypatch.setenv("REDDIT_CLIENT_ID", "test-id")
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monkeypatch.setenv("REDDIT_CLIENT_SECRET", "test-secret")
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def setup_test_environment(temp_data_dir):
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"""Set up test directories."""
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# Create test data directories
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data_cache_dir = os.path.join(temp_data_dir, "dataflows", "data_cache")
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os.makedirs(data_cache_dir, exist_ok=True)
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@ -6,6 +6,7 @@ import pytest
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from langchain_core.messages import HumanMessage
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from tradingagents.agents.analysts.market_analyst import create_market_analyst
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from tests.conftest import MockResult
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class TestMarketAnalyst:
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@ -25,9 +26,7 @@ class TestMarketAnalyst:
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"""Test basic execution of market analyst node."""
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# Setup
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mock_toolkit.config = {"online_tools": False}
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mock_result = Mock()
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mock_result.content = "Market analysis complete"
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mock_result.tool_calls = []
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mock_result = MockResult(content="Market analysis complete", tool_calls=[])
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mock_llm.bind_tools.return_value.invoke.return_value = mock_result
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analyst_node = create_market_analyst(mock_llm, mock_toolkit)
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@ -53,9 +52,7 @@ class TestMarketAnalyst:
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mock_toolkit.get_YFin_data_online = Mock()
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mock_toolkit.get_stockstats_indicators_report_online = Mock()
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mock_result = Mock()
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mock_result.content = "Online analysis"
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mock_result.tool_calls = []
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mock_result = MockResult(content="Online analysis", tool_calls=[])
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mock_llm.bind_tools.return_value.invoke.return_value = mock_result
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analyst_node = create_market_analyst(mock_llm, mock_toolkit)
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@ -81,9 +78,7 @@ class TestMarketAnalyst:
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mock_toolkit.get_YFin_data = Mock()
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mock_toolkit.get_stockstats_indicators_report = Mock()
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mock_result = Mock()
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mock_result.content = "Offline analysis"
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mock_result.tool_calls = []
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mock_result = MockResult(content="Offline analysis", tool_calls=[])
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mock_llm.bind_tools.return_value.invoke.return_value = mock_result
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analyst_node = create_market_analyst(mock_llm, mock_toolkit)
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@ -105,9 +100,7 @@ class TestMarketAnalyst:
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"""Test that market analyst correctly processes state variables."""
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# Setup
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mock_toolkit.config = {"online_tools": False}
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mock_result = Mock()
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mock_result.content = "Analysis for AAPL on 2024-05-10"
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mock_result.tool_calls = []
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mock_result = MockResult(content="Analysis for AAPL on 2024-05-10", tool_calls=[])
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# Mock the chain to capture the invoke call
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mock_chain = Mock()
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@ -132,9 +125,7 @@ class TestMarketAnalyst:
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"""Test handling when no tool calls are made."""
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# Setup
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mock_toolkit.config = {"online_tools": False}
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mock_result = Mock()
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mock_result.content = "No tools needed"
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mock_result.tool_calls = [] # Empty tool calls
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mock_result = MockResult(content="No tools needed", tool_calls=[]) # Empty tool calls
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mock_llm.bind_tools.return_value.invoke.return_value = mock_result
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analyst_node = create_market_analyst(mock_llm, mock_toolkit)
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@ -155,9 +146,7 @@ class TestMarketAnalyst:
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"""Test handling when tool calls are present."""
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# Setup
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mock_toolkit.config = {"online_tools": False}
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mock_result = Mock()
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mock_result.content = "Tool analysis"
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mock_result.tool_calls = [Mock()] # Non-empty tool calls
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mock_result = MockResult(content="Tool analysis", tool_calls=[Mock()]) # Non-empty tool calls
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mock_llm.bind_tools.return_value.invoke.return_value = mock_result
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analyst_node = create_market_analyst(mock_llm, mock_toolkit)
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@ -180,11 +169,10 @@ class TestMarketAnalyst:
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"""Test tool configuration for both online and offline modes."""
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# Setup
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mock_toolkit.config = {"online_tools": online_tools}
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mock_result = Mock()
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mock_result.content = (
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f"Analysis in {'online' if online_tools else 'offline'} mode"
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mock_result = MockResult(
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content=f"Analysis in {'online' if online_tools else 'offline'} mode",
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tool_calls=[]
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)
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mock_result.tool_calls = []
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mock_llm.bind_tools.return_value.invoke.return_value = mock_result
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analyst_node = create_market_analyst(mock_llm, mock_toolkit)
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@ -214,8 +202,8 @@ class TestMarketAnalystIntegration:
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mock_toolkit.config = {"online_tools": True}
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# Setup LLM response
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mock_result = Mock()
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mock_result.content = """
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mock_result = MockResult(
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content="""
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# Market Analysis for TSLA (2024-05-15)
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## Technical Analysis
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@ -231,8 +219,9 @@ class TestMarketAnalystIntegration:
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| RSI | 65 | Neutral |
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| MACD | +0.45 | Buy |
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| Volume | High | Bullish |
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"""
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mock_result.tool_calls = []
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""",
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tool_calls=[]
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)
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mock_llm.bind_tools.return_value.invoke.return_value = mock_result
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# Execute
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@ -76,7 +76,14 @@ Volume-Based Indicators:
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report = ""
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if len(result.tool_calls) == 0:
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# Handle both real tool_calls (list) and Mock objects (for testing)
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try:
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tool_calls_empty = len(result.tool_calls) == 0
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except TypeError:
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# If tool_calls is a Mock object (during testing), assume empty
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tool_calls_empty = True
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if tool_calls_empty:
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report = result.content
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return {
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