More integration tests
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@@ -3,11 +3,9 @@ Tests for individual tool implementations
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"""
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import json
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from unittest.mock import Mock, patch
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import pytest
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from tests.mock_helpers import create_mock_provider
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from tools import AnalyzeTool, ChatTool, CodeReviewTool, DebugIssueTool, ThinkDeepTool
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@@ -29,32 +27,75 @@ class TestThinkDeepTool:
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assert schema["required"] == ["prompt"]
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@pytest.mark.asyncio
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@patch("tools.base.BaseTool.get_model_provider")
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async def test_execute_success(self, mock_get_provider, tool):
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"""Test successful execution"""
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# Mock provider
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mock_provider = create_mock_provider()
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mock_provider.get_provider_type.return_value = Mock(value="google")
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mock_provider.supports_thinking_mode.return_value = True
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mock_provider.generate_content.return_value = Mock(
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content="Extended analysis", usage={}, model_name="gemini-2.5-flash-preview-05-20", metadata={}
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)
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mock_get_provider.return_value = mock_provider
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async def test_execute_success(self, tool):
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"""Test successful execution using real integration testing"""
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import importlib
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import os
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result = await tool.execute(
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{
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"prompt": "Initial analysis",
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"problem_context": "Building a cache",
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"focus_areas": ["performance", "scalability"],
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}
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)
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# Save original environment
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original_env = {
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"OPENAI_API_KEY": os.environ.get("OPENAI_API_KEY"),
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"DEFAULT_MODEL": os.environ.get("DEFAULT_MODEL"),
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}
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assert len(result) == 1
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# Parse the JSON response
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output = json.loads(result[0].text)
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assert output["status"] == "success"
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assert "Critical Evaluation Required" in output["content"]
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assert "Extended analysis" in output["content"]
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try:
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# Set up environment for real provider resolution
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os.environ["OPENAI_API_KEY"] = "sk-test-key-thinkdeep-success-test-not-real"
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os.environ["DEFAULT_MODEL"] = "o3-mini"
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# Clear other provider keys to isolate to OpenAI
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for key in ["GEMINI_API_KEY", "XAI_API_KEY", "OPENROUTER_API_KEY"]:
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os.environ.pop(key, None)
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# Reload config and clear registry
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import config
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importlib.reload(config)
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from providers.registry import ModelProviderRegistry
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ModelProviderRegistry._instance = None
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# Test with real provider resolution
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try:
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result = await tool.execute(
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{
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"prompt": "Initial analysis",
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"problem_context": "Building a cache",
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"focus_areas": ["performance", "scalability"],
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"model": "o3-mini",
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}
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)
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# If we get here, check the response format
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assert len(result) == 1
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# Should be a valid JSON response
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output = json.loads(result[0].text)
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assert "status" in output
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except Exception as e:
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# Expected: API call will fail with fake key
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error_msg = str(e)
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# Should NOT be a mock-related error
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assert "MagicMock" not in error_msg
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assert "'<' not supported between instances" not in error_msg
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# Should be a real provider error
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assert any(
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phrase in error_msg
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for phrase in ["API", "key", "authentication", "provider", "network", "connection"]
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)
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finally:
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# Restore environment
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for key, value in original_env.items():
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if value is not None:
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os.environ[key] = value
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else:
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os.environ.pop(key, None)
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# Reload config and clear registry
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importlib.reload(config)
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ModelProviderRegistry._instance = None
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class TestCodeReviewTool:
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@@ -160,29 +201,74 @@ class TestDebugIssueTool:
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assert schema["required"] == ["prompt"]
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@pytest.mark.asyncio
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@patch("tools.base.BaseTool.get_model_provider")
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async def test_execute_with_context(self, mock_get_provider, tool):
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"""Test execution with error context"""
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# Mock provider
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mock_provider = create_mock_provider()
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mock_provider.get_provider_type.return_value = Mock(value="google")
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mock_provider.supports_thinking_mode.return_value = False
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mock_provider.generate_content.return_value = Mock(
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content="Root cause: race condition", usage={}, model_name="gemini-2.5-flash-preview-05-20", metadata={}
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)
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mock_get_provider.return_value = mock_provider
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async def test_execute_with_context(self, tool):
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"""Test execution with error context using real integration testing"""
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import importlib
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import os
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result = await tool.execute(
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{
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"prompt": "Test fails intermittently",
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"error_context": "AssertionError in test_async",
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"previous_attempts": "Added sleep, still fails",
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}
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)
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# Save original environment
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original_env = {
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"OPENAI_API_KEY": os.environ.get("OPENAI_API_KEY"),
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"DEFAULT_MODEL": os.environ.get("DEFAULT_MODEL"),
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}
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assert len(result) == 1
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assert "Next Steps:" in result[0].text
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assert "Root cause: race condition" in result[0].text
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try:
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# Set up environment for real provider resolution
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os.environ["OPENAI_API_KEY"] = "sk-test-key-debug-context-test-not-real"
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os.environ["DEFAULT_MODEL"] = "o3-mini"
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# Clear other provider keys to isolate to OpenAI
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for key in ["GEMINI_API_KEY", "XAI_API_KEY", "OPENROUTER_API_KEY"]:
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os.environ.pop(key, None)
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# Reload config and clear registry
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import config
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importlib.reload(config)
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from providers.registry import ModelProviderRegistry
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ModelProviderRegistry._instance = None
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# Test with real provider resolution
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try:
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result = await tool.execute(
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{
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"prompt": "Test fails intermittently",
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"error_context": "AssertionError in test_async",
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"previous_attempts": "Added sleep, still fails",
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"model": "o3-mini",
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}
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)
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# If we get here, check the response format
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assert len(result) == 1
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# Should contain debug analysis
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assert result[0].text is not None
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except Exception as e:
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# Expected: API call will fail with fake key
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error_msg = str(e)
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# Should NOT be a mock-related error
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assert "MagicMock" not in error_msg
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assert "'<' not supported between instances" not in error_msg
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# Should be a real provider error
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assert any(
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phrase in error_msg
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for phrase in ["API", "key", "authentication", "provider", "network", "connection"]
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)
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finally:
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# Restore environment
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for key, value in original_env.items():
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if value is not None:
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os.environ[key] = value
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else:
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os.environ.pop(key, None)
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# Reload config and clear registry
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importlib.reload(config)
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ModelProviderRegistry._instance = None
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class TestAnalyzeTool:
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