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WIP major refactor and features

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This commit is contained in:
Fahad
2025-06-12 07:14:59 +04:00
parent e06a6fd1fc
commit 2a067a7f4e
46 changed files with 2960 additions and 1011 deletions
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152
tests/test_large_prompt_handling.py
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@@ -11,6 +11,7 @@ import os
import shutil
import tempfile
from unittest.mock import MagicMock, patch
from tests.mock_helpers import create_mock_provider
import pytest
from mcp.types import TextContent
@@ -68,17 +69,17 @@ class TestLargePromptHandling:
tool = ChatTool()
# Mock the model to avoid actual API calls
with patch.object(tool, "create_model") as mock_create_model:
mock_model = MagicMock()
mock_response = MagicMock()
mock_response.candidates = [
MagicMock(
content=MagicMock(parts=[MagicMock(text="This is a test response")]),
finish_reason="STOP",
)
]
mock_model.generate_content.return_value = mock_response
mock_create_model.return_value = mock_model
with patch.object(tool, "get_model_provider") as mock_get_provider:
mock_provider = MagicMock()
mock_provider.get_provider_type.return_value = MagicMock(value="google")
mock_provider.supports_thinking_mode.return_value = False
mock_provider.generate_content.return_value = MagicMock(
content="This is a test response",
usage={"input_tokens": 10, "output_tokens": 20, "total_tokens": 30},
model_name="gemini-2.0-flash-exp",
metadata={"finish_reason": "STOP"}
)
mock_get_provider.return_value = mock_provider
result = await tool.execute({"prompt": normal_prompt})
@@ -93,17 +94,17 @@ class TestLargePromptHandling:
tool = ChatTool()
# Mock the model
with patch.object(tool, "create_model") as mock_create_model:
mock_model = MagicMock()
mock_response = MagicMock()
mock_response.candidates = [
MagicMock(
content=MagicMock(parts=[MagicMock(text="Processed large prompt")]),
finish_reason="STOP",
)
]
mock_model.generate_content.return_value = mock_response
mock_create_model.return_value = mock_model
with patch.object(tool, "get_model_provider") as mock_get_provider:
mock_provider = MagicMock()
mock_provider.get_provider_type.return_value = MagicMock(value="google")
mock_provider.supports_thinking_mode.return_value = False
mock_provider.generate_content.return_value = MagicMock(
content="Processed large prompt",
usage={"input_tokens": 10, "output_tokens": 20, "total_tokens": 30},
model_name="gemini-2.0-flash-exp",
metadata={"finish_reason": "STOP"}
)
mock_get_provider.return_value = mock_provider
# Mock read_file_content to avoid security checks
with patch("tools.base.read_file_content") as mock_read_file:
@@ -123,8 +124,11 @@ class TestLargePromptHandling:
mock_read_file.assert_called_once_with(temp_prompt_file)
# Verify the large content was used
call_args = mock_model.generate_content.call_args[0][0]
assert large_prompt in call_args
# generate_content is called with keyword arguments
call_kwargs = mock_provider.generate_content.call_args[1]
prompt_arg = call_kwargs.get("prompt")
assert prompt_arg is not None
assert large_prompt in prompt_arg
# Cleanup
temp_dir = os.path.dirname(temp_prompt_file)
@@ -134,7 +138,7 @@ class TestLargePromptHandling:
async def test_thinkdeep_large_analysis(self, large_prompt):
"""Test that thinkdeep tool detects large current_analysis."""
tool = ThinkDeepTool()
result = await tool.execute({"current_analysis": large_prompt})
result = await tool.execute({"prompt": large_prompt})
assert len(result) == 1
output = json.loads(result[0].text)
@@ -148,7 +152,7 @@ class TestLargePromptHandling:
{
"files": ["/some/file.py"],
"focus_on": large_prompt,
"context": "Test code review for validation purposes",
"prompt": "Test code review for validation purposes",
}
)
@@ -160,7 +164,7 @@ class TestLargePromptHandling:
async def test_review_changes_large_original_request(self, large_prompt):
"""Test that review_changes tool detects large original_request."""
tool = Precommit()
result = await tool.execute({"path": "/some/path", "original_request": large_prompt})
result = await tool.execute({"path": "/some/path", "prompt": large_prompt})
assert len(result) == 1
output = json.loads(result[0].text)
@@ -170,7 +174,7 @@ class TestLargePromptHandling:
async def test_debug_large_error_description(self, large_prompt):
"""Test that debug tool detects large error_description."""
tool = DebugIssueTool()
result = await tool.execute({"error_description": large_prompt})
result = await tool.execute({"prompt": large_prompt})
assert len(result) == 1
output = json.loads(result[0].text)
@@ -180,7 +184,7 @@ class TestLargePromptHandling:
async def test_debug_large_error_context(self, large_prompt, normal_prompt):
"""Test that debug tool detects large error_context."""
tool = DebugIssueTool()
result = await tool.execute({"error_description": normal_prompt, "error_context": large_prompt})
result = await tool.execute({"prompt": normal_prompt, "error_context": large_prompt})
assert len(result) == 1
output = json.loads(result[0].text)
@@ -190,7 +194,7 @@ class TestLargePromptHandling:
async def test_analyze_large_question(self, large_prompt):
"""Test that analyze tool detects large question."""
tool = AnalyzeTool()
result = await tool.execute({"files": ["/some/file.py"], "question": large_prompt})
result = await tool.execute({"files": ["/some/file.py"], "prompt": large_prompt})
assert len(result) == 1
output = json.loads(result[0].text)
@@ -202,17 +206,17 @@ class TestLargePromptHandling:
tool = ChatTool()
other_file = "/some/other/file.py"
with patch.object(tool, "create_model") as mock_create_model:
mock_model = MagicMock()
mock_response = MagicMock()
mock_response.candidates = [
MagicMock(
content=MagicMock(parts=[MagicMock(text="Success")]),
finish_reason="STOP",
)
]
mock_model.generate_content.return_value = mock_response
mock_create_model.return_value = mock_model
with patch.object(tool, "get_model_provider") as mock_get_provider:
mock_provider = MagicMock()
mock_provider.get_provider_type.return_value = MagicMock(value="google")
mock_provider.supports_thinking_mode.return_value = False
mock_provider.generate_content.return_value = MagicMock(
content="Success",
usage={"input_tokens": 10, "output_tokens": 20, "total_tokens": 30},
model_name="gemini-2.0-flash-exp",
metadata={"finish_reason": "STOP"}
)
mock_get_provider.return_value = mock_provider
# Mock the centralized file preparation method to avoid file system access
with patch.object(tool, "_prepare_file_content_for_prompt") as mock_prepare_files:
@@ -235,17 +239,17 @@ class TestLargePromptHandling:
tool = ChatTool()
exact_prompt = "x" * MCP_PROMPT_SIZE_LIMIT
with patch.object(tool, "create_model") as mock_create_model:
mock_model = MagicMock()
mock_response = MagicMock()
mock_response.candidates = [
MagicMock(
content=MagicMock(parts=[MagicMock(text="Success")]),
finish_reason="STOP",
)
]
mock_model.generate_content.return_value = mock_response
mock_create_model.return_value = mock_model
with patch.object(tool, "get_model_provider") as mock_get_provider:
mock_provider = MagicMock()
mock_provider.get_provider_type.return_value = MagicMock(value="google")
mock_provider.supports_thinking_mode.return_value = False
mock_provider.generate_content.return_value = MagicMock(
content="Success",
usage={"input_tokens": 10, "output_tokens": 20, "total_tokens": 30},
model_name="gemini-2.0-flash-exp",
metadata={"finish_reason": "STOP"}
)
mock_get_provider.return_value = mock_provider
result = await tool.execute({"prompt": exact_prompt})
output = json.loads(result[0].text)
@@ -266,17 +270,17 @@ class TestLargePromptHandling:
"""Test empty prompt without prompt.txt file."""
tool = ChatTool()
with patch.object(tool, "create_model") as mock_create_model:
mock_model = MagicMock()
mock_response = MagicMock()
mock_response.candidates = [
MagicMock(
content=MagicMock(parts=[MagicMock(text="Success")]),
finish_reason="STOP",
)
]
mock_model.generate_content.return_value = mock_response
mock_create_model.return_value = mock_model
with patch.object(tool, "get_model_provider") as mock_get_provider:
mock_provider = MagicMock()
mock_provider.get_provider_type.return_value = MagicMock(value="google")
mock_provider.supports_thinking_mode.return_value = False
mock_provider.generate_content.return_value = MagicMock(
content="Success",
usage={"input_tokens": 10, "output_tokens": 20, "total_tokens": 30},
model_name="gemini-2.0-flash-exp",
metadata={"finish_reason": "STOP"}
)
mock_get_provider.return_value = mock_provider
result = await tool.execute({"prompt": ""})
output = json.loads(result[0].text)
@@ -288,17 +292,17 @@ class TestLargePromptHandling:
tool = ChatTool()
bad_file = "/nonexistent/prompt.txt"
with patch.object(tool, "create_model") as mock_create_model:
mock_model = MagicMock()
mock_response = MagicMock()
mock_response.candidates = [
MagicMock(
content=MagicMock(parts=[MagicMock(text="Success")]),
finish_reason="STOP",
)
]
mock_model.generate_content.return_value = mock_response
mock_create_model.return_value = mock_model
with patch.object(tool, "get_model_provider") as mock_get_provider:
mock_provider = MagicMock()
mock_provider.get_provider_type.return_value = MagicMock(value="google")
mock_provider.supports_thinking_mode.return_value = False
mock_provider.generate_content.return_value = MagicMock(
content="Success",
usage={"input_tokens": 10, "output_tokens": 20, "total_tokens": 30},
model_name="gemini-2.0-flash-exp",
metadata={"finish_reason": "STOP"}
)
mock_get_provider.return_value = mock_provider
# Should continue with empty prompt when file can't be read
result = await tool.execute({"prompt": "", "files": [bad_file]})