style: fix linting and formatting issues

- Run black formatter on all Python files
- Fix ruff linting issues:
  - Remove unused imports
  - Remove unused variables
  - Fix f-string without placeholders
- All 37 tests still pass
- Code quality improved for CI/CD compliance

🧹 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Fahad
2025-06-09 09:37:46 +04:00
parent fb5c04ea60
commit 5ccedcecd8
14 changed files with 376 additions and 256 deletions

View File

@@ -9,7 +9,9 @@ __author__ = "Fahad Gilani"
# Model configuration
DEFAULT_MODEL = "gemini-2.5-pro-preview-06-05"
THINKING_MODEL = "gemini-2.0-flash-thinking-exp" # Enhanced reasoning model for think_deeper
THINKING_MODEL = (
"gemini-2.0-flash-thinking-exp" # Enhanced reasoning model for think_deeper
)
MAX_CONTEXT_TOKENS = 1_000_000 # 1M tokens for Gemini Pro
# Temperature defaults for different tool types

View File

@@ -2,8 +2,13 @@
System prompts for Gemini tools
"""
from .tool_prompts import (ANALYZE_PROMPT, CHAT_PROMPT, DEBUG_ISSUE_PROMPT,
REVIEW_CODE_PROMPT, THINK_DEEPER_PROMPT)
from .tool_prompts import (
ANALYZE_PROMPT,
CHAT_PROMPT,
DEBUG_ISSUE_PROMPT,
REVIEW_CODE_PROMPT,
THINK_DEEPER_PROMPT,
)
__all__ = [
"THINK_DEEPER_PROMPT",

View File

@@ -10,14 +10,18 @@ from datetime import datetime
from typing import Any, Dict, List
from google import genai
from google.genai import types
from mcp.server import Server
from mcp.server.models import InitializationOptions
from mcp.server.stdio import stdio_server
from mcp.types import TextContent, Tool
from config import (DEFAULT_MODEL, MAX_CONTEXT_TOKENS, __author__, __updated__,
__version__)
from config import (
DEFAULT_MODEL,
MAX_CONTEXT_TOKENS,
__author__,
__updated__,
__version__,
)
from tools import AnalyzeTool, DebugIssueTool, ReviewCodeTool, ThinkDeeperTool
# Configure logging
@@ -125,9 +129,7 @@ async def handle_list_tools() -> List[Tool]:
@server.call_tool()
async def handle_call_tool(
name: str, arguments: Dict[str, Any]
) -> List[TextContent]:
async def handle_call_tool(name: str, arguments: Dict[str, Any]) -> List[TextContent]:
"""Handle tool execution requests"""
# Handle dynamic tools
@@ -151,7 +153,7 @@ async def handle_call_tool(
async def handle_chat(arguments: Dict[str, Any]) -> List[TextContent]:
"""Handle general chat requests"""
from config import TEMPERATURE_BALANCED, DEFAULT_MODEL, THINKING_MODEL
from config import TEMPERATURE_BALANCED, DEFAULT_MODEL
from prompts import CHAT_PROMPT
from utils import read_files
@@ -164,24 +166,37 @@ async def handle_chat(arguments: Dict[str, Any]) -> List[TextContent]:
user_content = prompt
if context_files:
file_content, _ = read_files(context_files)
user_content = f"{prompt}\n\n=== CONTEXT FILES ===\n{file_content}\n=== END CONTEXT ==="
user_content = (
f"{prompt}\n\n=== CONTEXT FILES ===\n{file_content}\n=== END CONTEXT ==="
)
# Combine system prompt with user content
full_prompt = f"{CHAT_PROMPT}\n\n=== USER REQUEST ===\n{user_content}\n=== END REQUEST ===\n\nPlease provide a thoughtful, comprehensive response:"
try:
# Create model with thinking configuration
from tools.base import BaseTool
# Create a temporary tool instance to use create_model method
class TempTool(BaseTool):
def get_name(self): return "chat"
def get_description(self): return ""
def get_input_schema(self): return {}
def get_system_prompt(self): return ""
def get_request_model(self): return None
async def prepare_prompt(self, request): return ""
def get_name(self):
return "chat"
def get_description(self):
return ""
def get_input_schema(self):
return {}
def get_system_prompt(self):
return ""
def get_request_model(self):
return None
async def prepare_prompt(self, request):
return ""
temp_tool = TempTool()
model = temp_tool.create_model(DEFAULT_MODEL, temperature, thinking_mode)
@@ -207,7 +222,7 @@ async def handle_list_models() -> List[TextContent]:
api_key = os.getenv("GEMINI_API_KEY")
if not api_key:
return [TextContent(type="text", text="Error: GEMINI_API_KEY not set")]
client = genai.Client(api_key=api_key)
models = []
@@ -218,13 +233,21 @@ async def handle_list_models() -> List[TextContent]:
models.append(
{
"name": getattr(model_info, "id", "Unknown"),
"display_name": getattr(model_info, "display_name", getattr(model_info, "id", "Unknown")),
"description": getattr(model_info, "description", "No description"),
"is_default": getattr(model_info, "id", "").endswith(DEFAULT_MODEL),
"display_name": getattr(
model_info,
"display_name",
getattr(model_info, "id", "Unknown"),
),
"description": getattr(
model_info, "description", "No description"
),
"is_default": getattr(model_info, "id", "").endswith(
DEFAULT_MODEL
),
}
)
except Exception as e:
except Exception:
# Fallback: return some known models
models = [
{
@@ -244,9 +267,7 @@ async def handle_list_models() -> List[TextContent]:
return [TextContent(type="text", text=json.dumps(models, indent=2))]
except Exception as e:
return [
TextContent(type="text", text=f"Error listing models: {str(e)}")
]
return [TextContent(type="text", text=f"Error listing models: {str(e)}")]
async def handle_get_version() -> List[TextContent]:
@@ -259,8 +280,7 @@ async def handle_get_version() -> List[TextContent]:
"max_context_tokens": f"{MAX_CONTEXT_TOKENS:,}",
"python_version": f"{sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro}",
"server_started": datetime.now().isoformat(),
"available_tools": list(TOOLS.keys())
+ ["chat", "list_models", "get_version"],
"available_tools": list(TOOLS.keys()) + ["chat", "list_models", "get_version"],
}
text = f"""Gemini MCP Server v{__version__}

View File

@@ -2,10 +2,17 @@
Tests for configuration
"""
from config import (DEFAULT_MODEL, MAX_CONTEXT_TOKENS,
TEMPERATURE_ANALYTICAL, TEMPERATURE_BALANCED,
TEMPERATURE_CREATIVE, TOOL_TRIGGERS, __author__,
__updated__, __version__)
from config import (
DEFAULT_MODEL,
MAX_CONTEXT_TOKENS,
TEMPERATURE_ANALYTICAL,
TEMPERATURE_BALANCED,
TEMPERATURE_CREATIVE,
TOOL_TRIGGERS,
__author__,
__updated__,
__version__,
)
class TestConfig:
@@ -15,11 +22,11 @@ class TestConfig:
"""Test version information exists and has correct format"""
# Check version format (e.g., "2.4.1")
assert isinstance(__version__, str)
assert len(__version__.split('.')) == 3 # Major.Minor.Patch
assert len(__version__.split(".")) == 3 # Major.Minor.Patch
# Check author
assert __author__ == "Fahad Gilani"
# Check updated date exists (don't assert on specific format/value)
assert isinstance(__updated__, str)

View File

@@ -20,68 +20,68 @@ sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from tools.analyze import AnalyzeTool
from tools.think_deeper import ThinkDeeperTool
from tools.review_code import ReviewCodeTool
from tools.debug_issue import DebugIssueTool
async def run_manual_live_tests():
"""Run live tests manually without pytest"""
print("🚀 Running manual live integration tests...")
# Check API key
if not os.environ.get("GEMINI_API_KEY"):
print("❌ GEMINI_API_KEY not found. Set it to run live tests.")
return False
try:
# Test google-genai import
from google import genai
from google.genai import types
print("✅ google-genai library import successful")
# Test tool integration
with tempfile.NamedTemporaryFile(mode='w', suffix='.py', delete=False) as f:
with tempfile.NamedTemporaryFile(mode="w", suffix=".py", delete=False) as f:
f.write("def hello(): return 'world'")
temp_path = f.name
try:
# Test AnalyzeTool
tool = AnalyzeTool()
result = await tool.execute({
"files": [temp_path],
"question": "What does this code do?",
"thinking_mode": "low"
})
result = await tool.execute(
{
"files": [temp_path],
"question": "What does this code do?",
"thinking_mode": "low",
}
)
if result and result[0].text:
print("✅ AnalyzeTool live test successful")
else:
print("❌ AnalyzeTool live test failed")
return False
# Test ThinkDeeperTool
# Test ThinkDeeperTool
think_tool = ThinkDeeperTool()
result = await think_tool.execute({
"current_analysis": "Testing live integration",
"thinking_mode": "minimal" # Fast test
})
result = await think_tool.execute(
{
"current_analysis": "Testing live integration",
"thinking_mode": "minimal", # Fast test
}
)
if result and result[0].text and "Extended Analysis" in result[0].text:
print("✅ ThinkDeeperTool live test successful")
else:
print("❌ ThinkDeeperTool live test failed")
return False
finally:
Path(temp_path).unlink(missing_ok=True)
print("\n🎉 All manual live tests passed!")
print("✅ google-genai library working correctly")
print("✅ All tools can make live API calls")
print("✅ All tools can make live API calls")
print("✅ Thinking modes functioning properly")
return True
except Exception as e:
print(f"❌ Live test failed: {e}")
return False
@@ -90,4 +90,4 @@ async def run_manual_live_tests():
if __name__ == "__main__":
# Run live tests when script is executed directly
success = asyncio.run(run_manual_live_tests())
exit(0 if success else 1)
exit(0 if success else 1)

View File

@@ -33,9 +33,7 @@ class TestServerTools:
# Check descriptions are verbose
for tool in tools:
assert (
len(tool.description) > 50
) # All should have detailed descriptions
assert len(tool.description) > 50 # All should have detailed descriptions
@pytest.mark.asyncio
async def test_handle_call_tool_unknown(self):
@@ -49,8 +47,9 @@ class TestServerTools:
"""Test chat functionality"""
# Set test environment
import os
os.environ["PYTEST_CURRENT_TEST"] = "test"
# Create a mock for the model
with patch("tools.base.BaseTool.create_model") as mock_create:
mock_model = Mock()
@@ -58,9 +57,9 @@ class TestServerTools:
candidates=[Mock(content=Mock(parts=[Mock(text="Chat response")]))]
)
mock_create.return_value = mock_model
result = await handle_call_tool("chat", {"prompt": "Hello Gemini"})
assert len(result) == 1
assert result[0].text == "Chat response"
@@ -69,7 +68,7 @@ class TestServerTools:
"""Test listing models"""
result = await handle_call_tool("list_models", {})
assert len(result) == 1
# Check if we got models or an error
text = result[0].text
if "Error" in text:

View File

@@ -2,7 +2,6 @@
Tests for thinking_mode functionality across all tools
"""
import os
from unittest.mock import Mock, patch
import pytest
@@ -22,7 +21,7 @@ def setup_test_env():
class TestThinkingModes:
"""Test thinking modes across all tools"""
def test_default_thinking_modes(self):
"""Test that tools have correct default thinking modes"""
tools = [
@@ -31,35 +30,40 @@ class TestThinkingModes:
(ReviewCodeTool(), "medium"),
(DebugIssueTool(), "medium"),
]
for tool, expected_default in tools:
assert tool.get_default_thinking_mode() == expected_default, \
f"{tool.__class__.__name__} should default to {expected_default}"
assert (
tool.get_default_thinking_mode() == expected_default
), f"{tool.__class__.__name__} should default to {expected_default}"
@pytest.mark.asyncio
@patch("tools.base.BaseTool.create_model")
async def test_thinking_mode_minimal(self, mock_create_model):
"""Test minimal thinking mode"""
mock_model = Mock()
mock_model.generate_content.return_value = Mock(
candidates=[Mock(content=Mock(parts=[Mock(text="Minimal thinking response")]))]
candidates=[
Mock(content=Mock(parts=[Mock(text="Minimal thinking response")]))
]
)
mock_create_model.return_value = mock_model
tool = AnalyzeTool()
result = await tool.execute({
"files": ["test.py"],
"question": "What is this?",
"thinking_mode": "minimal"
})
result = await tool.execute(
{
"files": ["test.py"],
"question": "What is this?",
"thinking_mode": "minimal",
}
)
# Verify create_model was called with correct thinking_mode
mock_create_model.assert_called_once()
args = mock_create_model.call_args[0]
assert args[2] == "minimal" # thinking_mode parameter
assert result[0].text.startswith("Analysis:")
@pytest.mark.asyncio
@patch("tools.base.BaseTool.create_model")
async def test_thinking_mode_low(self, mock_create_model):
@@ -69,43 +73,44 @@ class TestThinkingModes:
candidates=[Mock(content=Mock(parts=[Mock(text="Low thinking response")]))]
)
mock_create_model.return_value = mock_model
tool = ReviewCodeTool()
result = await tool.execute({
"files": ["test.py"],
"thinking_mode": "low"
})
result = await tool.execute({"files": ["test.py"], "thinking_mode": "low"})
# Verify create_model was called with correct thinking_mode
mock_create_model.assert_called_once()
args = mock_create_model.call_args[0]
assert args[2] == "low"
assert "Code Review" in result[0].text
@pytest.mark.asyncio
@patch("tools.base.BaseTool.create_model")
async def test_thinking_mode_medium(self, mock_create_model):
"""Test medium thinking mode (default for most tools)"""
mock_model = Mock()
mock_model.generate_content.return_value = Mock(
candidates=[Mock(content=Mock(parts=[Mock(text="Medium thinking response")]))]
candidates=[
Mock(content=Mock(parts=[Mock(text="Medium thinking response")]))
]
)
mock_create_model.return_value = mock_model
tool = DebugIssueTool()
result = await tool.execute({
"error_description": "Test error",
# Not specifying thinking_mode, should use default (medium)
})
result = await tool.execute(
{
"error_description": "Test error",
# Not specifying thinking_mode, should use default (medium)
}
)
# Verify create_model was called with default thinking_mode
mock_create_model.assert_called_once()
args = mock_create_model.call_args[0]
assert args[2] == "medium"
assert "Debug Analysis" in result[0].text
@pytest.mark.asyncio
@patch("tools.base.BaseTool.create_model")
async def test_thinking_mode_high(self, mock_create_model):
@@ -115,19 +120,21 @@ class TestThinkingModes:
candidates=[Mock(content=Mock(parts=[Mock(text="High thinking response")]))]
)
mock_create_model.return_value = mock_model
tool = AnalyzeTool()
result = await tool.execute({
"files": ["complex.py"],
"question": "Analyze architecture",
"thinking_mode": "high"
})
await tool.execute(
{
"files": ["complex.py"],
"question": "Analyze architecture",
"thinking_mode": "high",
}
)
# Verify create_model was called with correct thinking_mode
mock_create_model.assert_called_once()
args = mock_create_model.call_args[0]
assert args[2] == "high"
@pytest.mark.asyncio
@patch("tools.base.BaseTool.create_model")
async def test_thinking_mode_max(self, mock_create_model):
@@ -137,47 +144,58 @@ class TestThinkingModes:
candidates=[Mock(content=Mock(parts=[Mock(text="Max thinking response")]))]
)
mock_create_model.return_value = mock_model
tool = ThinkDeeperTool()
result = await tool.execute({
"current_analysis": "Initial analysis",
# Not specifying thinking_mode, should use default (max)
})
result = await tool.execute(
{
"current_analysis": "Initial analysis",
# Not specifying thinking_mode, should use default (max)
}
)
# Verify create_model was called with default thinking_mode
mock_create_model.assert_called_once()
args = mock_create_model.call_args[0]
assert args[2] == "max"
assert "Extended Analysis by Gemini" in result[0].text
def test_thinking_budget_mapping(self):
"""Test that thinking modes map to correct budget values"""
from tools.base import BaseTool
# Create a simple test tool
class TestTool(BaseTool):
def get_name(self): return "test"
def get_description(self): return "test"
def get_input_schema(self): return {}
def get_system_prompt(self): return "test"
def get_request_model(self): return None
async def prepare_prompt(self, request): return "test"
tool = TestTool()
def get_name(self):
return "test"
def get_description(self):
return "test"
def get_input_schema(self):
return {}
def get_system_prompt(self):
return "test"
def get_request_model(self):
return None
async def prepare_prompt(self, request):
return "test"
# Expected mappings
expected_budgets = {
"minimal": 128,
"low": 2048,
"medium": 8192,
"high": 16384,
"max": 32768
"max": 32768,
}
# Check each mode in create_model
for mode, expected_budget in expected_budgets.items():
# The budget mapping is inside create_model
# We can't easily test it without calling the method
# But we've verified the values are correct in the code
pass
pass

View File

@@ -120,7 +120,9 @@ class TestDebugIssueTool:
# Mock model
mock_model = Mock()
mock_model.generate_content.return_value = Mock(
candidates=[Mock(content=Mock(parts=[Mock(text="Root cause: race condition")]))]
candidates=[
Mock(content=Mock(parts=[Mock(text="Root cause: race condition")]))
]
)
mock_create_model.return_value = mock_model
@@ -157,9 +159,7 @@ class TestAnalyzeTool:
@pytest.mark.asyncio
@patch("tools.base.BaseTool.create_model")
async def test_execute_with_analysis_type(
self, mock_model, tool, tmp_path
):
async def test_execute_with_analysis_type(self, mock_model, tool, tmp_path):
"""Test execution with specific analysis type"""
# Create test file
test_file = tmp_path / "module.py"
@@ -168,9 +168,7 @@ class TestAnalyzeTool:
# Mock response
mock_response = Mock()
mock_response.candidates = [Mock()]
mock_response.candidates[0].content.parts = [
Mock(text="Architecture analysis")
]
mock_response.candidates[0].content.parts = [Mock(text="Architecture analysis")]
mock_instance = Mock()
mock_instance.generate_content.return_value = mock_response

View File

@@ -2,8 +2,7 @@
Tests for utility functions
"""
from utils import (check_token_limit, estimate_tokens, read_file_content,
read_files)
from utils import check_token_limit, estimate_tokens, read_file_content, read_files
class TestFileUtils:
@@ -12,9 +11,7 @@ class TestFileUtils:
def test_read_file_content_success(self, tmp_path):
"""Test successful file reading"""
test_file = tmp_path / "test.py"
test_file.write_text(
"def hello():\n return 'world'", encoding="utf-8"
)
test_file.write_text("def hello():\n return 'world'", encoding="utf-8")
content, tokens = read_file_content(str(test_file))
assert "--- BEGIN FILE:" in content
@@ -71,18 +68,18 @@ class TestFileUtils:
(tmp_path / "file1.py").write_text("print('file1')", encoding="utf-8")
(tmp_path / "file2.js").write_text("console.log('file2')", encoding="utf-8")
(tmp_path / "readme.md").write_text("# README", encoding="utf-8")
# Create subdirectory
subdir = tmp_path / "src"
subdir.mkdir()
(subdir / "module.py").write_text("class Module: pass", encoding="utf-8")
# Create hidden file (should be skipped)
(tmp_path / ".hidden").write_text("secret", encoding="utf-8")
# Read the directory
content, summary = read_files([str(tmp_path)])
# Check files are included
assert "file1.py" in content
assert "file2.js" in content
@@ -90,17 +87,17 @@ class TestFileUtils:
# Handle both forward and backslashes for cross-platform compatibility
assert "module.py" in content
assert "class Module: pass" in content
# Check content
assert "print('file1')" in content
assert "console.log('file2')" in content
assert "# README" in content
assert "class Module: pass" in content
# Hidden file should not be included
assert ".hidden" not in content
assert "secret" not in content
# Check summary
assert "Processed 1 dir(s)" in summary
assert "Read 4 file(s)" in summary
@@ -110,23 +107,23 @@ class TestFileUtils:
# Create files
file1 = tmp_path / "direct.py"
file1.write_text("# Direct file", encoding="utf-8")
# Create directory with files
subdir = tmp_path / "subdir"
subdir.mkdir()
(subdir / "sub1.py").write_text("# Sub file 1", encoding="utf-8")
(subdir / "sub2.py").write_text("# Sub file 2", encoding="utf-8")
# Read mix of direct file and directory
content, summary = read_files([str(file1), str(subdir)])
assert "direct.py" in content
assert "sub1.py" in content
assert "sub2.py" in content
assert "# Direct file" in content
assert "# Sub file 1" in content
assert "# Sub file 2" in content
assert "Processed 1 dir(s)" in summary
assert "Read 3 file(s)" in summary
@@ -135,19 +132,19 @@ class TestFileUtils:
# Create files with known token counts
# ~250 tokens each (1000 chars)
large_content = "x" * 1000
for i in range(5):
(tmp_path / f"file{i}.txt").write_text(large_content, encoding="utf-8")
# Read with small token limit (should skip some files)
# Reserve 50k tokens, limit to 51k total = 1k available
# Each file ~250 tokens, so should read ~3-4 files
content, summary = read_files([str(tmp_path)], max_tokens=51_000)
assert "Skipped" in summary
assert "token limit" in summary
assert "--- SKIPPED FILES (TOKEN LIMIT) ---" in content
# Count how many files were read
read_count = content.count("--- BEGIN FILE:")
assert 2 <= read_count <= 4 # Should read some but not all
@@ -157,9 +154,9 @@ class TestFileUtils:
# Create a file larger than max_size (1MB)
large_file = tmp_path / "large.txt"
large_file.write_text("x" * 2_000_000, encoding="utf-8") # 2MB
content, summary = read_files([str(large_file)])
assert "--- FILE TOO LARGE:" in content
assert "2,000,000 bytes" in content
assert "Read 1 file(s)" in summary # File is counted but shows error message
@@ -171,13 +168,13 @@ class TestFileUtils:
(tmp_path / "style.css").write_text("css", encoding="utf-8")
(tmp_path / "binary.exe").write_text("exe", encoding="utf-8")
(tmp_path / "image.jpg").write_text("jpg", encoding="utf-8")
content, summary = read_files([str(tmp_path)])
# Code files should be included
assert "code.py" in content
assert "style.css" in content
# Binary files should not be included (not in CODE_EXTENSIONS)
assert "binary.exe" not in content
assert "image.jpg" not in content

View File

@@ -11,6 +11,7 @@ from google.genai import types
from mcp.types import TextContent
from pydantic import BaseModel, Field
class ToolRequest(BaseModel):
"""Base request model for all tools"""
@@ -21,7 +22,8 @@ class ToolRequest(BaseModel):
None, description="Temperature for response (tool-specific defaults)"
)
thinking_mode: Optional[Literal["minimal", "low", "medium", "high", "max"]] = Field(
None, description="Thinking depth: minimal (128), low (2048), medium (8192), high (16384), max (32768)"
None,
description="Thinking depth: minimal (128), low (2048), medium (8192), high (16384), max (32768)",
)
@@ -128,15 +130,15 @@ class BaseTool(ABC):
"""Create a configured Gemini model with thinking configuration"""
# Map thinking modes to budget values
thinking_budgets = {
"minimal": 128, # Minimum for 2.5 Pro
"minimal": 128, # Minimum for 2.5 Pro
"low": 2048,
"medium": 8192,
"high": 16384,
"max": 32768
"max": 32768,
}
thinking_budget = thinking_budgets.get(thinking_mode, 8192)
# For models supporting thinking config, use the new API
# Skip in test environment to allow mocking
if "2.5" in model_name and not os.environ.get("PYTEST_CURRENT_TEST"):
@@ -145,17 +147,19 @@ class BaseTool(ABC):
api_key = os.environ.get("GEMINI_API_KEY")
if not api_key:
raise ValueError("GEMINI_API_KEY environment variable is required")
client = genai.Client(api_key=api_key)
# Create a wrapper to match the expected interface
class ModelWrapper:
def __init__(self, client, model_name, temperature, thinking_budget):
def __init__(
self, client, model_name, temperature, thinking_budget
):
self.client = client
self.model_name = model_name
self.temperature = temperature
self.thinking_budget = thinking_budget
def generate_content(self, prompt):
response = self.client.models.generate_content(
model=self.model_name,
@@ -163,43 +167,62 @@ class BaseTool(ABC):
config=types.GenerateContentConfig(
temperature=self.temperature,
candidate_count=1,
thinking_config=types.ThinkingConfig(thinking_budget=self.thinking_budget)
thinking_config=types.ThinkingConfig(
thinking_budget=self.thinking_budget
),
),
)
# Convert to match expected format
class ResponseWrapper:
def __init__(self, text):
self.text = text
self.candidates = [type('obj', (object,), {
'content': type('obj', (object,), {
'parts': [type('obj', (object,), {'text': text})]
})(),
'finish_reason': 'STOP'
})]
self.candidates = [
type(
"obj",
(object,),
{
"content": type(
"obj",
(object,),
{
"parts": [
type(
"obj",
(object,),
{"text": text},
)
]
},
)(),
"finish_reason": "STOP",
},
)
]
return ResponseWrapper(response.text)
return ModelWrapper(client, model_name, temperature, thinking_budget)
except Exception as e:
except Exception:
# Fall back to regular genai model if new API fails
pass
# For non-2.5 models or if thinking not needed, use regular API
# Get API key
api_key = os.environ.get("GEMINI_API_KEY")
if not api_key:
raise ValueError("GEMINI_API_KEY environment variable is required")
client = genai.Client(api_key=api_key)
# Create wrapper for consistency
class SimpleModelWrapper:
def __init__(self, client, model_name, temperature):
self.client = client
self.model_name = model_name
self.temperature = temperature
def generate_content(self, prompt):
response = self.client.models.generate_content(
model=self.model_name,
@@ -209,18 +232,30 @@ class BaseTool(ABC):
candidate_count=1,
),
)
# Convert to match expected format
class ResponseWrapper:
def __init__(self, text):
self.text = text
self.candidates = [type('obj', (object,), {
'content': type('obj', (object,), {
'parts': [type('obj', (object,), {'text': text})]
})(),
'finish_reason': 'STOP'
})]
self.candidates = [
type(
"obj",
(object,),
{
"content": type(
"obj",
(object,),
{
"parts": [
type("obj", (object,), {"text": text})
]
},
)(),
"finish_reason": "STOP",
},
)
]
return ResponseWrapper(response.text)
return SimpleModelWrapper(client, model_name, temperature)

View File

@@ -146,8 +146,6 @@ Focus on finding the root cause and providing actionable solutions."""
return full_prompt
def format_response(
self, response: str, request: DebugIssueRequest
) -> str:
def format_response(self, response: str, request: DebugIssueRequest) -> str:
"""Format the debugging response"""
return f"Debug Analysis\n{'=' * 50}\n\n{response}"

View File

@@ -130,14 +130,10 @@ class ReviewCodeTool(BaseTool):
)
if request.focus_on:
review_focus.append(
f"Pay special attention to: {request.focus_on}"
)
review_focus.append(f"Pay special attention to: {request.focus_on}")
if request.standards:
review_focus.append(
f"Enforce these standards: {request.standards}"
)
review_focus.append(f"Enforce these standards: {request.standards}")
if request.severity_filter != "all":
review_focus.append(
@@ -159,9 +155,7 @@ Please provide a comprehensive code review following the format specified in the
return full_prompt
def format_response(
self, response: str, request: ReviewCodeRequest
) -> str:
def format_response(self, response: str, request: ReviewCodeRequest) -> str:
"""Format the review response"""
header = f"Code Review ({request.review_type.upper()})"
if request.focus_on:

View File

@@ -130,7 +130,9 @@ class ThinkDeeperTool(BaseTool):
focus_instruction = ""
if request.focus_areas:
areas = ", ".join(request.focus_areas)
focus_instruction = f"\n\nFOCUS AREAS: Please pay special attention to {areas} aspects."
focus_instruction = (
f"\n\nFOCUS AREAS: Please pay special attention to {areas} aspects."
)
# Combine system prompt with context
full_prompt = f"""{self.get_system_prompt()}{focus_instruction}
@@ -146,8 +148,6 @@ Please provide deep analysis that extends Claude's thinking with:
return full_prompt
def format_response(
self, response: str, request: ThinkDeeperRequest
) -> str:
def format_response(self, response: str, request: ThinkDeeperRequest) -> str:
"""Format the response with clear attribution"""
return f"Extended Analysis by Gemini:\n\n{response}"

View File

@@ -11,63 +11,106 @@ from .token_utils import estimate_tokens, MAX_CONTEXT_TOKENS
# Common code file extensions
CODE_EXTENSIONS = {
'.py', '.js', '.ts', '.jsx', '.tsx', '.java', '.cpp', '.c', '.h', '.hpp',
'.cs', '.go', '.rs', '.rb', '.php', '.swift', '.kt', '.scala', '.r', '.m',
'.mm', '.sql', '.sh', '.bash', '.zsh', '.fish', '.ps1', '.bat', '.cmd',
'.yml', '.yaml', '.json', '.xml', '.toml', '.ini', '.cfg', '.conf',
'.txt', '.md', '.rst', '.tex', '.html', '.css', '.scss', '.sass', '.less'
".py",
".js",
".ts",
".jsx",
".tsx",
".java",
".cpp",
".c",
".h",
".hpp",
".cs",
".go",
".rs",
".rb",
".php",
".swift",
".kt",
".scala",
".r",
".m",
".mm",
".sql",
".sh",
".bash",
".zsh",
".fish",
".ps1",
".bat",
".cmd",
".yml",
".yaml",
".json",
".xml",
".toml",
".ini",
".cfg",
".conf",
".txt",
".md",
".rst",
".tex",
".html",
".css",
".scss",
".sass",
".less",
}
def expand_paths(paths: List[str], extensions: Optional[Set[str]] = None) -> List[str]:
"""
Expand paths to individual files, handling both files and directories.
Args:
paths: List of file or directory paths
extensions: Optional set of file extensions to include
Returns:
List of individual file paths
"""
if extensions is None:
extensions = CODE_EXTENSIONS
expanded_files = []
seen = set()
for path in paths:
path_obj = Path(path)
if not path_obj.exists():
continue
if path_obj.is_file():
# Add file directly
if str(path_obj) not in seen:
expanded_files.append(str(path_obj))
seen.add(str(path_obj))
elif path_obj.is_dir():
# Walk directory recursively
for root, dirs, files in os.walk(path_obj):
# Skip hidden directories and __pycache__
dirs[:] = [d for d in dirs if not d.startswith('.') and d != '__pycache__']
dirs[:] = [
d for d in dirs if not d.startswith(".") and d != "__pycache__"
]
for file in files:
# Skip hidden files
if file.startswith('.'):
if file.startswith("."):
continue
file_path = Path(root) / file
# Check extension
if not extensions or file_path.suffix.lower() in extensions:
full_path = str(file_path)
if full_path not in seen:
expanded_files.append(full_path)
seen.add(full_path)
# Sort for consistent ordering
expanded_files.sort()
return expanded_files
@@ -76,11 +119,11 @@ def expand_paths(paths: List[str], extensions: Optional[Set[str]] = None) -> Lis
def read_file_content(file_path: str, max_size: int = 1_000_000) -> Tuple[str, int]:
"""
Read a single file and format it for Gemini.
Args:
file_path: Path to file
max_size: Maximum file size to read
Returns:
(formatted_content, estimated_tokens)
"""
@@ -116,40 +159,42 @@ def read_file_content(file_path: str, max_size: int = 1_000_000) -> Tuple[str, i
def read_files(
file_paths: List[str],
file_paths: List[str],
code: Optional[str] = None,
max_tokens: Optional[int] = None,
reserve_tokens: int = 50_000
reserve_tokens: int = 50_000,
) -> Tuple[str, str]:
"""
Read multiple files and optional direct code with smart token management.
Args:
file_paths: List of file or directory paths
code: Optional direct code to include
max_tokens: Maximum tokens to use (defaults to MAX_CONTEXT_TOKENS)
reserve_tokens: Tokens to reserve for prompt and response
Returns:
Returns:
(full_content, brief_summary)
"""
if max_tokens is None:
max_tokens = MAX_CONTEXT_TOKENS
content_parts = []
summary_parts = []
total_tokens = 0
available_tokens = max_tokens - reserve_tokens
files_read = []
files_skipped = []
dirs_processed = []
# First, handle direct code if provided
if code:
formatted_code = f"\n--- BEGIN DIRECT CODE ---\n{code}\n--- END DIRECT CODE ---\n"
formatted_code = (
f"\n--- BEGIN DIRECT CODE ---\n{code}\n--- END DIRECT CODE ---\n"
)
code_tokens = estimate_tokens(formatted_code)
if code_tokens <= available_tokens:
content_parts.append(formatted_code)
total_tokens += code_tokens
@@ -158,29 +203,31 @@ def read_files(
summary_parts.append(f"Direct code: {code_preview}")
else:
summary_parts.append("Direct code skipped (too large)")
# Expand all paths to get individual files
if file_paths:
# Track which paths are directories
for path in file_paths:
if Path(path).is_dir():
dirs_processed.append(path)
# Expand to get all files
all_files = expand_paths(file_paths)
if not all_files and file_paths:
# No files found but paths were provided
content_parts.append(f"\n--- NO FILES FOUND ---\nProvided paths: {', '.join(file_paths)}\n--- END ---\n")
content_parts.append(
f"\n--- NO FILES FOUND ---\nProvided paths: {', '.join(file_paths)}\n--- END ---\n"
)
else:
# Read files up to token limit
for file_path in all_files:
if total_tokens >= available_tokens:
files_skipped.append(file_path)
continue
file_content, file_tokens = read_file_content(file_path)
# Check if adding this file would exceed limit
if total_tokens + file_tokens <= available_tokens:
content_parts.append(file_content)
@@ -188,7 +235,7 @@ def read_files(
files_read.append(file_path)
else:
files_skipped.append(file_path)
# Build summary
if dirs_processed:
summary_parts.append(f"Processed {len(dirs_processed)} dir(s)")
@@ -198,10 +245,10 @@ def read_files(
summary_parts.append(f"Skipped {len(files_skipped)} file(s) (token limit)")
if total_tokens > 0:
summary_parts.append(f"~{total_tokens:,} tokens used")
# Add skipped files note if any were skipped
if files_skipped:
skip_note = f"\n\n--- SKIPPED FILES (TOKEN LIMIT) ---\n"
skip_note = "\n\n--- SKIPPED FILES (TOKEN LIMIT) ---\n"
skip_note += f"Total skipped: {len(files_skipped)}\n"
# Show first 10 skipped files
for i, file_path in enumerate(files_skipped[:10]):
@@ -210,8 +257,8 @@ def read_files(
skip_note += f" ... and {len(files_skipped) - 10} more\n"
skip_note += "--- END SKIPPED FILES ---\n"
content_parts.append(skip_note)
full_content = "\n\n".join(content_parts) if content_parts else ""
summary = " | ".join(summary_parts) if summary_parts else "No input provided"
return full_content, summary