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:
@@ -9,7 +9,9 @@ __author__ = "Fahad Gilani"
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# Model configuration
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DEFAULT_MODEL = "gemini-2.5-pro-preview-06-05"
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THINKING_MODEL = "gemini-2.0-flash-thinking-exp" # Enhanced reasoning model for think_deeper
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THINKING_MODEL = (
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"gemini-2.0-flash-thinking-exp" # Enhanced reasoning model for think_deeper
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)
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MAX_CONTEXT_TOKENS = 1_000_000 # 1M tokens for Gemini Pro
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# Temperature defaults for different tool types
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@@ -2,8 +2,13 @@
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System prompts for Gemini tools
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"""
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from .tool_prompts import (ANALYZE_PROMPT, CHAT_PROMPT, DEBUG_ISSUE_PROMPT,
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REVIEW_CODE_PROMPT, THINK_DEEPER_PROMPT)
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from .tool_prompts import (
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ANALYZE_PROMPT,
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CHAT_PROMPT,
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DEBUG_ISSUE_PROMPT,
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REVIEW_CODE_PROMPT,
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THINK_DEEPER_PROMPT,
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)
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__all__ = [
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"THINK_DEEPER_PROMPT",
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74
server.py
74
server.py
@@ -10,14 +10,18 @@ from datetime import datetime
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from typing import Any, Dict, List
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from google import genai
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from google.genai import types
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from mcp.server import Server
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from mcp.server.models import InitializationOptions
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from mcp.server.stdio import stdio_server
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from mcp.types import TextContent, Tool
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from config import (DEFAULT_MODEL, MAX_CONTEXT_TOKENS, __author__, __updated__,
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__version__)
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from config import (
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DEFAULT_MODEL,
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MAX_CONTEXT_TOKENS,
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__author__,
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__updated__,
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__version__,
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)
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from tools import AnalyzeTool, DebugIssueTool, ReviewCodeTool, ThinkDeeperTool
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# Configure logging
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@@ -125,9 +129,7 @@ async def handle_list_tools() -> List[Tool]:
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@server.call_tool()
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async def handle_call_tool(
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name: str, arguments: Dict[str, Any]
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) -> List[TextContent]:
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async def handle_call_tool(name: str, arguments: Dict[str, Any]) -> List[TextContent]:
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"""Handle tool execution requests"""
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# Handle dynamic tools
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@@ -151,7 +153,7 @@ async def handle_call_tool(
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async def handle_chat(arguments: Dict[str, Any]) -> List[TextContent]:
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"""Handle general chat requests"""
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from config import TEMPERATURE_BALANCED, DEFAULT_MODEL, THINKING_MODEL
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from config import TEMPERATURE_BALANCED, DEFAULT_MODEL
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from prompts import CHAT_PROMPT
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from utils import read_files
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@@ -164,24 +166,37 @@ async def handle_chat(arguments: Dict[str, Any]) -> List[TextContent]:
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user_content = prompt
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if context_files:
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file_content, _ = read_files(context_files)
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user_content = f"{prompt}\n\n=== CONTEXT FILES ===\n{file_content}\n=== END CONTEXT ==="
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user_content = (
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f"{prompt}\n\n=== CONTEXT FILES ===\n{file_content}\n=== END CONTEXT ==="
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)
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# Combine system prompt with user content
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full_prompt = f"{CHAT_PROMPT}\n\n=== USER REQUEST ===\n{user_content}\n=== END REQUEST ===\n\nPlease provide a thoughtful, comprehensive response:"
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try:
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# Create model with thinking configuration
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from tools.base import BaseTool
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# Create a temporary tool instance to use create_model method
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class TempTool(BaseTool):
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def get_name(self): return "chat"
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def get_description(self): return ""
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def get_input_schema(self): return {}
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def get_system_prompt(self): return ""
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def get_request_model(self): return None
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async def prepare_prompt(self, request): return ""
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def get_name(self):
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return "chat"
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def get_description(self):
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return ""
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def get_input_schema(self):
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return {}
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def get_system_prompt(self):
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return ""
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def get_request_model(self):
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return None
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async def prepare_prompt(self, request):
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return ""
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temp_tool = TempTool()
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model = temp_tool.create_model(DEFAULT_MODEL, temperature, thinking_mode)
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@@ -207,7 +222,7 @@ async def handle_list_models() -> List[TextContent]:
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api_key = os.getenv("GEMINI_API_KEY")
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if not api_key:
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return [TextContent(type="text", text="Error: GEMINI_API_KEY not set")]
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client = genai.Client(api_key=api_key)
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models = []
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@@ -218,13 +233,21 @@ async def handle_list_models() -> List[TextContent]:
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models.append(
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{
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"name": getattr(model_info, "id", "Unknown"),
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"display_name": getattr(model_info, "display_name", getattr(model_info, "id", "Unknown")),
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"description": getattr(model_info, "description", "No description"),
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"is_default": getattr(model_info, "id", "").endswith(DEFAULT_MODEL),
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"display_name": getattr(
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model_info,
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"display_name",
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getattr(model_info, "id", "Unknown"),
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),
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"description": getattr(
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model_info, "description", "No description"
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),
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"is_default": getattr(model_info, "id", "").endswith(
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DEFAULT_MODEL
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),
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}
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)
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except Exception as e:
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except Exception:
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# Fallback: return some known models
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models = [
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{
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@@ -244,9 +267,7 @@ async def handle_list_models() -> List[TextContent]:
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return [TextContent(type="text", text=json.dumps(models, indent=2))]
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except Exception as e:
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return [
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TextContent(type="text", text=f"Error listing models: {str(e)}")
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]
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return [TextContent(type="text", text=f"Error listing models: {str(e)}")]
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async def handle_get_version() -> List[TextContent]:
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@@ -259,8 +280,7 @@ async def handle_get_version() -> List[TextContent]:
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"max_context_tokens": f"{MAX_CONTEXT_TOKENS:,}",
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"python_version": f"{sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro}",
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"server_started": datetime.now().isoformat(),
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"available_tools": list(TOOLS.keys())
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+ ["chat", "list_models", "get_version"],
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"available_tools": list(TOOLS.keys()) + ["chat", "list_models", "get_version"],
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}
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text = f"""Gemini MCP Server v{__version__}
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@@ -2,10 +2,17 @@
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Tests for configuration
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"""
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from config import (DEFAULT_MODEL, MAX_CONTEXT_TOKENS,
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TEMPERATURE_ANALYTICAL, TEMPERATURE_BALANCED,
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TEMPERATURE_CREATIVE, TOOL_TRIGGERS, __author__,
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__updated__, __version__)
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from config import (
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DEFAULT_MODEL,
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MAX_CONTEXT_TOKENS,
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TEMPERATURE_ANALYTICAL,
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TEMPERATURE_BALANCED,
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TEMPERATURE_CREATIVE,
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TOOL_TRIGGERS,
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__author__,
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__updated__,
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__version__,
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)
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class TestConfig:
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@@ -15,11 +22,11 @@ class TestConfig:
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"""Test version information exists and has correct format"""
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# Check version format (e.g., "2.4.1")
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assert isinstance(__version__, str)
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assert len(__version__.split('.')) == 3 # Major.Minor.Patch
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assert len(__version__.split(".")) == 3 # Major.Minor.Patch
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# Check author
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assert __author__ == "Fahad Gilani"
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# Check updated date exists (don't assert on specific format/value)
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assert isinstance(__updated__, str)
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@@ -20,68 +20,68 @@ sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from tools.analyze import AnalyzeTool
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from tools.think_deeper import ThinkDeeperTool
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from tools.review_code import ReviewCodeTool
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from tools.debug_issue import DebugIssueTool
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async def run_manual_live_tests():
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"""Run live tests manually without pytest"""
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print("🚀 Running manual live integration tests...")
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# Check API key
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if not os.environ.get("GEMINI_API_KEY"):
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print("❌ GEMINI_API_KEY not found. Set it to run live tests.")
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return False
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try:
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# Test google-genai import
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from google import genai
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from google.genai import types
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print("✅ google-genai library import successful")
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# Test tool integration
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with tempfile.NamedTemporaryFile(mode='w', suffix='.py', delete=False) as f:
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with tempfile.NamedTemporaryFile(mode="w", suffix=".py", delete=False) as f:
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f.write("def hello(): return 'world'")
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temp_path = f.name
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try:
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# Test AnalyzeTool
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tool = AnalyzeTool()
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result = await tool.execute({
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"files": [temp_path],
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"question": "What does this code do?",
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"thinking_mode": "low"
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})
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result = await tool.execute(
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{
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"files": [temp_path],
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"question": "What does this code do?",
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"thinking_mode": "low",
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}
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)
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if result and result[0].text:
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print("✅ AnalyzeTool live test successful")
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else:
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print("❌ AnalyzeTool live test failed")
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return False
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# Test ThinkDeeperTool
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# Test ThinkDeeperTool
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think_tool = ThinkDeeperTool()
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result = await think_tool.execute({
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"current_analysis": "Testing live integration",
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"thinking_mode": "minimal" # Fast test
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})
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result = await think_tool.execute(
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{
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"current_analysis": "Testing live integration",
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"thinking_mode": "minimal", # Fast test
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}
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)
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if result and result[0].text and "Extended Analysis" in result[0].text:
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print("✅ ThinkDeeperTool live test successful")
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else:
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print("❌ ThinkDeeperTool live test failed")
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return False
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finally:
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Path(temp_path).unlink(missing_ok=True)
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print("\n🎉 All manual live tests passed!")
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print("✅ google-genai library working correctly")
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print("✅ All tools can make live API calls")
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print("✅ All tools can make live API calls")
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print("✅ Thinking modes functioning properly")
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return True
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except Exception as e:
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print(f"❌ Live test failed: {e}")
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return False
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@@ -90,4 +90,4 @@ async def run_manual_live_tests():
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if __name__ == "__main__":
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# Run live tests when script is executed directly
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success = asyncio.run(run_manual_live_tests())
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exit(0 if success else 1)
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exit(0 if success else 1)
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@@ -33,9 +33,7 @@ class TestServerTools:
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# Check descriptions are verbose
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for tool in tools:
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assert (
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len(tool.description) > 50
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) # All should have detailed descriptions
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assert len(tool.description) > 50 # All should have detailed descriptions
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@pytest.mark.asyncio
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async def test_handle_call_tool_unknown(self):
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@@ -49,8 +47,9 @@ class TestServerTools:
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"""Test chat functionality"""
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# Set test environment
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import os
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os.environ["PYTEST_CURRENT_TEST"] = "test"
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# Create a mock for the model
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with patch("tools.base.BaseTool.create_model") as mock_create:
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mock_model = Mock()
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@@ -58,9 +57,9 @@ class TestServerTools:
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candidates=[Mock(content=Mock(parts=[Mock(text="Chat response")]))]
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)
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mock_create.return_value = mock_model
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result = await handle_call_tool("chat", {"prompt": "Hello Gemini"})
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assert len(result) == 1
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assert result[0].text == "Chat response"
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@@ -69,7 +68,7 @@ class TestServerTools:
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"""Test listing models"""
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result = await handle_call_tool("list_models", {})
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assert len(result) == 1
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# Check if we got models or an error
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text = result[0].text
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if "Error" in text:
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@@ -2,7 +2,6 @@
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Tests for thinking_mode functionality across all tools
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"""
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import os
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from unittest.mock import Mock, patch
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import pytest
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@@ -22,7 +21,7 @@ def setup_test_env():
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class TestThinkingModes:
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"""Test thinking modes across all tools"""
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def test_default_thinking_modes(self):
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"""Test that tools have correct default thinking modes"""
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tools = [
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@@ -31,35 +30,40 @@ class TestThinkingModes:
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(ReviewCodeTool(), "medium"),
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(DebugIssueTool(), "medium"),
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]
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for tool, expected_default in tools:
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assert tool.get_default_thinking_mode() == expected_default, \
|
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f"{tool.__class__.__name__} should default to {expected_default}"
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|
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assert (
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tool.get_default_thinking_mode() == expected_default
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), f"{tool.__class__.__name__} should default to {expected_default}"
|
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|
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@pytest.mark.asyncio
|
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@patch("tools.base.BaseTool.create_model")
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async def test_thinking_mode_minimal(self, mock_create_model):
|
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"""Test minimal thinking mode"""
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mock_model = Mock()
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mock_model.generate_content.return_value = Mock(
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candidates=[Mock(content=Mock(parts=[Mock(text="Minimal thinking response")]))]
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candidates=[
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Mock(content=Mock(parts=[Mock(text="Minimal thinking response")]))
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]
|
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)
|
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mock_create_model.return_value = mock_model
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|
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|
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tool = AnalyzeTool()
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result = await tool.execute({
|
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"files": ["test.py"],
|
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"question": "What is this?",
|
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"thinking_mode": "minimal"
|
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})
|
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|
||||
result = await tool.execute(
|
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{
|
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"files": ["test.py"],
|
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"question": "What is this?",
|
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"thinking_mode": "minimal",
|
||||
}
|
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)
|
||||
|
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# Verify create_model was called with correct thinking_mode
|
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mock_create_model.assert_called_once()
|
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args = mock_create_model.call_args[0]
|
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assert args[2] == "minimal" # thinking_mode parameter
|
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|
||||
|
||||
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()
|
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args = mock_create_model.call_args[0]
|
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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
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -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
|
||||
|
||||
101
tools/base.py
101
tools/base.py
@@ -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)
|
||||
|
||||
@@ -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}"
|
||||
|
||||
@@ -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:
|
||||
|
||||
@@ -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}"
|
||||
|
||||
@@ -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
|
||||
|
||||
Reference in New Issue
Block a user