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1517 lines (1273 loc) · 51 KB
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#!/usr/bin/env python3
"""
Code Implementation MCP Server
This MCP server provides core functions needed for paper code reproduction:
1. File read/write operations
2. Code execution and testing
3. Code search and analysis
4. Iterative improvement support
Usage:
python tools/code_implementation_server.py
"""
import os
import subprocess
import json
import sys
import io
from pathlib import Path
import re
from typing import Dict, Any, List
import tempfile
import shutil
import logging
from datetime import datetime
# Set standard output encoding to UTF-8
if sys.stdout.encoding != "utf-8":
try:
if hasattr(sys.stdout, "reconfigure"):
sys.stdout.reconfigure(encoding="utf-8")
sys.stderr.reconfigure(encoding="utf-8")
else:
sys.stdout = io.TextIOWrapper(sys.stdout.detach(), encoding="utf-8")
sys.stderr = io.TextIOWrapper(sys.stderr.detach(), encoding="utf-8")
except Exception as e:
print(f"Warning: Could not set UTF-8 encoding: {e}")
# Import MCP related modules
from mcp.server.fastmcp import FastMCP
# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# Create FastMCP server instance
mcp = FastMCP("code-implementation-server")
# Global variables: workspace directory and operation history
WORKSPACE_DIR = None
OPERATION_HISTORY = []
CURRENT_FILES = {}
def initialize_workspace(workspace_dir: str = None):
"""
Initialize workspace
By default, the workspace will be set by the workflow via the set_workspace tool to:
{plan_file_parent}/generate_code
Args:
workspace_dir: Optional workspace directory path
"""
global WORKSPACE_DIR
if workspace_dir is None:
# Default to generate_code directory under current directory, but don't create immediately
# This default value will be overridden by workflow via set_workspace tool
WORKSPACE_DIR = Path.cwd() / "generate_code"
# logger.info(f"Workspace initialized (default value, will be overridden by workflow): {WORKSPACE_DIR}")
# logger.info("Note: Actual workspace will be set by workflow via set_workspace tool to {plan_file_parent}/generate_code")
else:
WORKSPACE_DIR = Path(workspace_dir).resolve()
# Only create when explicitly specified
WORKSPACE_DIR.mkdir(parents=True, exist_ok=True)
logger.info(f"Workspace initialized: {WORKSPACE_DIR}")
def ensure_workspace_exists():
"""Ensure workspace directory exists"""
global WORKSPACE_DIR
if WORKSPACE_DIR is None:
initialize_workspace()
# Create workspace directory (if it doesn't exist)
if not WORKSPACE_DIR.exists():
WORKSPACE_DIR.mkdir(parents=True, exist_ok=True)
logger.info(f"Workspace directory created: {WORKSPACE_DIR}")
def validate_path(path: str) -> Path:
"""Validate if path is within workspace"""
if WORKSPACE_DIR is None:
initialize_workspace()
full_path = (WORKSPACE_DIR / path).resolve()
if not str(full_path).startswith(str(WORKSPACE_DIR)):
raise ValueError(f"Path {path} is outside workspace scope")
return full_path
def log_operation(action: str, details: Dict[str, Any]):
"""Log operation history"""
OPERATION_HISTORY.append(
{"timestamp": datetime.now().isoformat(), "action": action, "details": details}
)
# ==================== File Operation Tools ====================
@mcp.tool()
async def read_file(
file_path: str, start_line: int = None, end_line: int = None
) -> str:
"""
Read file content, supports specifying line number range
Args:
file_path: File path, relative to workspace
start_line: Starting line number (1-based, optional)
end_line: Ending line number (1-based, optional)
Returns:
JSON string of file content or error message
"""
try:
full_path = validate_path(file_path)
if not full_path.exists():
result = {"status": "error", "message": f"File does not exist: {file_path}"}
log_operation(
"read_file_error", {"file_path": file_path, "error": "file_not_found"}
)
return json.dumps(result, ensure_ascii=False, indent=2)
with open(full_path, "r", encoding="utf-8") as f:
lines = f.readlines()
# 处理行号范围
if start_line is not None or end_line is not None:
start_idx = (start_line - 1) if start_line else 0
end_idx = end_line if end_line else len(lines)
lines = lines[start_idx:end_idx]
content = "".join(lines)
result = {
"status": "success",
"content": content,
"file_path": file_path,
"total_lines": len(lines),
"size_bytes": len(content.encode("utf-8")),
}
log_operation(
"read_file",
{
"file_path": file_path,
"start_line": start_line,
"end_line": end_line,
"lines_read": len(lines),
},
)
return json.dumps(result, ensure_ascii=False, indent=2)
except Exception as e:
result = {
"status": "error",
"message": f"Failed to read file: {str(e)}",
"file_path": file_path,
}
log_operation("read_file_error", {"file_path": file_path, "error": str(e)})
return json.dumps(result, ensure_ascii=False, indent=2)
@mcp.tool()
async def read_multiple_files(file_requests: str, max_files: int = 5) -> str:
"""
Read multiple files in a single operation (for batch reading)
Args:
file_requests: JSON string with file requests, e.g.,
'{"file1.py": {}, "file2.py": {"start_line": 1, "end_line": 10}}'
or simple array: '["file1.py", "file2.py"]'
max_files: Maximum number of files to read in one operation (default: 5)
Returns:
JSON string of operation results for all files
"""
try:
# Parse the file requests
try:
requests_data = json.loads(file_requests)
except json.JSONDecodeError as e:
return json.dumps(
{
"status": "error",
"message": f"Invalid JSON format for file_requests: {str(e)}",
"operation_type": "multi_file",
"timestamp": datetime.now().isoformat(),
},
ensure_ascii=False,
indent=2,
)
# Normalize requests format
if isinstance(requests_data, list):
# Convert simple array to dict format
normalized_requests = {file_path: {} for file_path in requests_data}
elif isinstance(requests_data, dict):
normalized_requests = requests_data
else:
return json.dumps(
{
"status": "error",
"message": "file_requests must be a JSON object or array",
"operation_type": "multi_file",
"timestamp": datetime.now().isoformat(),
},
ensure_ascii=False,
indent=2,
)
# Validate input
if len(normalized_requests) == 0:
return json.dumps(
{
"status": "error",
"message": "No files provided for reading",
"operation_type": "multi_file",
"timestamp": datetime.now().isoformat(),
},
ensure_ascii=False,
indent=2,
)
if len(normalized_requests) > max_files:
return json.dumps(
{
"status": "error",
"message": f"Too many files provided ({len(normalized_requests)}), maximum is {max_files}",
"operation_type": "multi_file",
"timestamp": datetime.now().isoformat(),
},
ensure_ascii=False,
indent=2,
)
# Process each file
results = {
"status": "success",
"message": f"Successfully processed {len(normalized_requests)} files",
"operation_type": "multi_file",
"timestamp": datetime.now().isoformat(),
"files_processed": len(normalized_requests),
"files": {},
"summary": {
"successful": 0,
"failed": 0,
"total_size_bytes": 0,
"total_lines": 0,
"files_not_found": 0,
},
}
# Process each file individually
for file_path, options in normalized_requests.items():
try:
full_path = validate_path(file_path)
start_line = options.get("start_line")
end_line = options.get("end_line")
if not full_path.exists():
results["files"][file_path] = {
"status": "error",
"message": f"File does not exist: {file_path}",
"file_path": file_path,
"content": "",
"total_lines": 0,
"size_bytes": 0,
"start_line": start_line,
"end_line": end_line,
}
results["summary"]["failed"] += 1
results["summary"]["files_not_found"] += 1
continue
with open(full_path, "r", encoding="utf-8") as f:
lines = f.readlines()
# Handle line range
original_line_count = len(lines)
if start_line is not None or end_line is not None:
start_idx = (start_line - 1) if start_line else 0
end_idx = end_line if end_line else len(lines)
lines = lines[start_idx:end_idx]
content = "".join(lines)
size_bytes = len(content.encode("utf-8"))
lines_count = len(lines)
# Record individual file result
results["files"][file_path] = {
"status": "success",
"message": f"File read successfully: {file_path}",
"file_path": file_path,
"content": content,
"total_lines": lines_count,
"original_total_lines": original_line_count,
"size_bytes": size_bytes,
"start_line": start_line,
"end_line": end_line,
"line_range_applied": start_line is not None
or end_line is not None,
}
# Update summary
results["summary"]["successful"] += 1
results["summary"]["total_size_bytes"] += size_bytes
results["summary"]["total_lines"] += lines_count
# Log individual file operation
log_operation(
"read_file_multi",
{
"file_path": file_path,
"start_line": start_line,
"end_line": end_line,
"lines_read": lines_count,
"size_bytes": size_bytes,
"batch_operation": True,
},
)
except Exception as file_error:
# Record individual file error
results["files"][file_path] = {
"status": "error",
"message": f"Failed to read file: {str(file_error)}",
"file_path": file_path,
"content": "",
"total_lines": 0,
"size_bytes": 0,
"start_line": options.get("start_line"),
"end_line": options.get("end_line"),
}
results["summary"]["failed"] += 1
# Log individual file error
log_operation(
"read_file_multi_error",
{
"file_path": file_path,
"error": str(file_error),
"batch_operation": True,
},
)
# Determine overall status
if results["summary"]["failed"] > 0:
if results["summary"]["successful"] > 0:
results["status"] = "partial_success"
results["message"] = (
f"Read {results['summary']['successful']} files successfully, {results['summary']['failed']} failed"
)
else:
results["status"] = "failed"
results["message"] = (
f"All {results['summary']['failed']} files failed to read"
)
# Log overall operation
log_operation(
"read_multiple_files",
{
"files_count": len(normalized_requests),
"successful": results["summary"]["successful"],
"failed": results["summary"]["failed"],
"total_size_bytes": results["summary"]["total_size_bytes"],
"status": results["status"],
},
)
return json.dumps(results, ensure_ascii=False, indent=2)
except Exception as e:
result = {
"status": "error",
"message": f"Failed to read multiple files: {str(e)}",
"operation_type": "multi_file",
"timestamp": datetime.now().isoformat(),
"files_processed": 0,
}
log_operation("read_multiple_files_error", {"error": str(e)})
return json.dumps(result, ensure_ascii=False, indent=2)
@mcp.tool()
async def write_file(
file_path: str, content: str, create_dirs: bool = True, create_backup: bool = False
) -> str:
"""
Write content to file
Args:
file_path: File path, relative to workspace
content: Content to write to file
create_dirs: Whether to create directories if they don't exist
create_backup: Whether to create backup file if file already exists
Returns:
JSON string of operation result
"""
try:
full_path = validate_path(file_path)
# Create directories (if needed)
if create_dirs:
full_path.parent.mkdir(parents=True, exist_ok=True)
# Backup existing file (only when explicitly requested)
backup_created = False
if full_path.exists() and create_backup:
backup_path = full_path.with_suffix(full_path.suffix + ".backup")
shutil.copy2(full_path, backup_path)
backup_created = True
# Write file
with open(full_path, "w", encoding="utf-8") as f:
f.write(content)
# Update current file record
CURRENT_FILES[file_path] = {
"last_modified": datetime.now().isoformat(),
"size_bytes": len(content.encode("utf-8")),
"lines": len(content.split("\n")),
}
result = {
"status": "success",
"message": f"File written successfully: {file_path}",
"file_path": file_path,
"size_bytes": len(content.encode("utf-8")),
"lines_written": len(content.split("\n")),
"backup_created": backup_created,
}
log_operation(
"write_file",
{
"file_path": file_path,
"size_bytes": len(content.encode("utf-8")),
"lines": len(content.split("\n")),
"backup_created": backup_created,
},
)
return json.dumps(result, ensure_ascii=False, indent=2)
except Exception as e:
result = {
"status": "error",
"message": f"Failed to write file: {str(e)}",
"file_path": file_path,
}
log_operation("write_file_error", {"file_path": file_path, "error": str(e)})
return json.dumps(result, ensure_ascii=False, indent=2)
@mcp.tool()
async def write_multiple_files(
file_implementations: str,
create_dirs: bool = True,
create_backup: bool = False,
max_files: int = 5,
) -> str:
"""
Write multiple files in a single operation (for batch implementation)
Args:
file_implementations: JSON string mapping file paths to content, e.g.,
'{"file1.py": "content1", "file2.py": "content2"}'
create_dirs: Whether to create directories if they don't exist
create_backup: Whether to create backup files if they already exist
max_files: Maximum number of files to write in one operation (default: 5)
Returns:
JSON string of operation results for all files
"""
try:
# Parse the file implementations
try:
files_dict = json.loads(file_implementations)
except json.JSONDecodeError as e:
return json.dumps(
{
"status": "error",
"message": f"Invalid JSON format for file_implementations: {str(e)}",
"operation_type": "multi_file",
"timestamp": datetime.now().isoformat(),
},
ensure_ascii=False,
indent=2,
)
# Validate input
if not isinstance(files_dict, dict):
return json.dumps(
{
"status": "error",
"message": "file_implementations must be a JSON object mapping file paths to content",
"operation_type": "multi_file",
"timestamp": datetime.now().isoformat(),
},
ensure_ascii=False,
indent=2,
)
if len(files_dict) == 0:
return json.dumps(
{
"status": "error",
"message": "No files provided for writing",
"operation_type": "multi_file",
"timestamp": datetime.now().isoformat(),
},
ensure_ascii=False,
indent=2,
)
if len(files_dict) > max_files:
return json.dumps(
{
"status": "error",
"message": f"Too many files provided ({len(files_dict)}), maximum is {max_files}",
"operation_type": "multi_file",
"timestamp": datetime.now().isoformat(),
},
ensure_ascii=False,
indent=2,
)
# Process each file
results = {
"status": "success",
"message": f"Successfully processed {len(files_dict)} files",
"operation_type": "multi_file",
"timestamp": datetime.now().isoformat(),
"files_processed": len(files_dict),
"files": {},
"summary": {
"successful": 0,
"failed": 0,
"total_size_bytes": 0,
"total_lines": 0,
"backups_created": 0,
},
}
# Process each file individually
for file_path, content in files_dict.items():
try:
full_path = validate_path(file_path)
# Create directories (if needed)
if create_dirs:
full_path.parent.mkdir(parents=True, exist_ok=True)
# Backup existing file (only when explicitly requested)
backup_created = False
if full_path.exists() and create_backup:
backup_path = full_path.with_suffix(full_path.suffix + ".backup")
shutil.copy2(full_path, backup_path)
backup_created = True
results["summary"]["backups_created"] += 1
# Write file
with open(full_path, "w", encoding="utf-8") as f:
f.write(content)
# Calculate file metrics
size_bytes = len(content.encode("utf-8"))
lines_count = len(content.split("\n"))
# Update current file record
CURRENT_FILES[file_path] = {
"last_modified": datetime.now().isoformat(),
"size_bytes": size_bytes,
"lines": lines_count,
}
# Record individual file result
results["files"][file_path] = {
"status": "success",
"message": f"File written successfully: {file_path}",
"size_bytes": size_bytes,
"lines_written": lines_count,
"backup_created": backup_created,
}
# Update summary
results["summary"]["successful"] += 1
results["summary"]["total_size_bytes"] += size_bytes
results["summary"]["total_lines"] += lines_count
# Log individual file operation
log_operation(
"write_file_multi",
{
"file_path": file_path,
"size_bytes": size_bytes,
"lines": lines_count,
"backup_created": backup_created,
"batch_operation": True,
},
)
except Exception as file_error:
# Record individual file error
results["files"][file_path] = {
"status": "error",
"message": f"Failed to write file: {str(file_error)}",
"size_bytes": 0,
"lines_written": 0,
"backup_created": False,
}
results["summary"]["failed"] += 1
# Log individual file error
log_operation(
"write_file_multi_error",
{
"file_path": file_path,
"error": str(file_error),
"batch_operation": True,
},
)
# Determine overall status
if results["summary"]["failed"] > 0:
if results["summary"]["successful"] > 0:
results["status"] = "partial_success"
results["message"] = (
f"Processed {results['summary']['successful']} files successfully, {results['summary']['failed']} failed"
)
else:
results["status"] = "failed"
results["message"] = (
f"All {results['summary']['failed']} files failed to write"
)
# Log overall operation
log_operation(
"write_multiple_files",
{
"files_count": len(files_dict),
"successful": results["summary"]["successful"],
"failed": results["summary"]["failed"],
"total_size_bytes": results["summary"]["total_size_bytes"],
"status": results["status"],
},
)
return json.dumps(results, ensure_ascii=False, indent=2)
except Exception as e:
result = {
"status": "error",
"message": f"Failed to write multiple files: {str(e)}",
"operation_type": "multi_file",
"timestamp": datetime.now().isoformat(),
"files_processed": 0,
}
log_operation("write_multiple_files_error", {"error": str(e)})
return json.dumps(result, ensure_ascii=False, indent=2)
# ==================== Code Execution Tools ====================
@mcp.tool()
async def execute_python(code: str, timeout: int = 30) -> str:
"""
Execute Python code and return output
Args:
code: Python code to execute
timeout: Timeout in seconds
Returns:
JSON string of execution result
"""
try:
# Create temporary file
with tempfile.NamedTemporaryFile(
mode="w", suffix=".py", delete=False, encoding="utf-8"
) as f:
f.write(code)
temp_file = f.name
try:
# Ensure workspace directory exists
ensure_workspace_exists()
# Execute Python code
result = subprocess.run(
[sys.executable, temp_file],
cwd=WORKSPACE_DIR,
capture_output=True,
text=True,
timeout=timeout,
encoding="utf-8",
)
execution_result = {
"status": "success" if result.returncode == 0 else "error",
"return_code": result.returncode,
"stdout": result.stdout,
"stderr": result.stderr,
"timeout": timeout,
}
if result.returncode != 0:
execution_result["message"] = "Python code execution failed"
else:
execution_result["message"] = "Python code execution successful"
log_operation(
"execute_python",
{
"return_code": result.returncode,
"stdout_length": len(result.stdout),
"stderr_length": len(result.stderr),
},
)
return json.dumps(execution_result, ensure_ascii=False, indent=2)
finally:
# Clean up temporary file
os.unlink(temp_file)
except subprocess.TimeoutExpired:
result = {
"status": "error",
"message": f"Python code execution timeout ({timeout}秒)",
"timeout": timeout,
}
log_operation("execute_python_timeout", {"timeout": timeout})
return json.dumps(result, ensure_ascii=False, indent=2)
except Exception as e:
result = {
"status": "error",
"message": f"Python code execution failed: {str(e)}",
}
log_operation("execute_python_error", {"error": str(e)})
return json.dumps(result, ensure_ascii=False, indent=2)
@mcp.tool()
async def execute_bash(command: str, timeout: int = 30) -> str:
"""
Execute bash command
Args:
command: Bash command to execute
timeout: Timeout in seconds
Returns:
JSON string of execution result
"""
try:
# 安全检查：禁止危险命令
dangerous_commands = ["rm -rf", "sudo", "chmod 777", "mkfs", "dd if="]
if any(dangerous in command.lower() for dangerous in dangerous_commands):
result = {
"status": "error",
"message": f"Dangerous command execution prohibited: {command}",
}
log_operation(
"execute_bash_blocked",
{"command": command, "reason": "dangerous_command"},
)
return json.dumps(result, ensure_ascii=False, indent=2)
# Ensure workspace directory exists
ensure_workspace_exists()
# Execute command
result = subprocess.run(
command,
shell=True,
cwd=WORKSPACE_DIR,
capture_output=True,
text=True,
timeout=timeout,
encoding="utf-8",
)
execution_result = {
"status": "success" if result.returncode == 0 else "error",
"return_code": result.returncode,
"stdout": result.stdout,
"stderr": result.stderr,
"command": command,
"timeout": timeout,
}
if result.returncode != 0:
execution_result["message"] = "Bash command execution failed"
else:
execution_result["message"] = "Bash command execution successful"
log_operation(
"execute_bash",
{
"command": command,
"return_code": result.returncode,
"stdout_length": len(result.stdout),
"stderr_length": len(result.stderr),
},
)
return json.dumps(execution_result, ensure_ascii=False, indent=2)
except subprocess.TimeoutExpired:
result = {
"status": "error",
"message": f"Bash command execution timeout ({timeout} seconds)",
"command": command,
"timeout": timeout,
}
log_operation("execute_bash_timeout", {"command": command, "timeout": timeout})
return json.dumps(result, ensure_ascii=False, indent=2)
except Exception as e:
result = {
"status": "error",
"message": f"Failed to execute bash command: {str(e)}",
"command": command,
}
log_operation("execute_bash_error", {"command": command, "error": str(e)})
return json.dumps(result, ensure_ascii=False, indent=2)
@mcp.tool()
async def read_code_mem(file_paths: List[str]) -> str:
"""
Check if file summaries exist in implement_code_summary.md for multiple files
Args:
file_paths: List of file paths to check for summary information in implement_code_summary.md
Returns:
Summary information for all requested files if available
"""
try:
if not file_paths or not isinstance(file_paths, list):
result = {
"status": "error",
"message": "file_paths parameter is required and must be a list",
}
log_operation(
"read_code_mem_error", {"error": "missing_or_invalid_file_paths"}
)
return json.dumps(result, ensure_ascii=False, indent=2)
# Remove duplicates while preserving order
unique_file_paths = list(dict.fromkeys(file_paths))
# Ensure workspace exists
ensure_workspace_exists()
# Look for implement_code_summary.md in the workspace
current_path = Path(WORKSPACE_DIR)
summary_file_path = current_path.parent / "implement_code_summary.md"
if not summary_file_path.exists():
result = {
"status": "no_summary",
"file_paths": unique_file_paths,
"message": "No summary file found.",
"results": [],
}
log_operation(
"read_code_mem",
{"file_paths": unique_file_paths, "status": "no_summary_file"},
)
return json.dumps(result, ensure_ascii=False, indent=2)
# Read the summary file
with open(summary_file_path, "r", encoding="utf-8") as f:
summary_content = f.read()
if not summary_content.strip():
result = {
"status": "no_summary",
"file_paths": unique_file_paths,
"message": "Summary file is empty.",
"results": [],
}
log_operation(
"read_code_mem",
{"file_paths": unique_file_paths, "status": "empty_summary"},
)
return json.dumps(result, ensure_ascii=False, indent=2)
# Process each file path and collect results
results = []
summaries_found = 0
for file_path in unique_file_paths:
# Extract file-specific section from summary
file_section = _extract_file_section_from_summary(
summary_content, file_path
)
if file_section:
file_result = {
"file_path": file_path,
"status": "summary_found",
"summary_content": file_section,
"message": f"Summary information found for {file_path}",
}
summaries_found += 1
else:
file_result = {
"file_path": file_path,
"status": "no_summary",
"summary_content": None,
"message": f"No summary found for {file_path}",
}
results.append(file_result)
# Determine overall status
if summaries_found == len(unique_file_paths):
overall_status = "all_summaries_found"
elif summaries_found > 0:
overall_status = "partial_summaries_found"
else:
overall_status = "no_summaries_found"
result = {
"status": overall_status,
"file_paths": unique_file_paths,
"total_requested": len(unique_file_paths),
"summaries_found": summaries_found,
"message": f"Found summaries for {summaries_found}/{len(unique_file_paths)} files",
"results": results,
}
log_operation(
"read_code_mem",
{
"file_paths": unique_file_paths,
"status": overall_status,
"total_requested": len(unique_file_paths),
"summaries_found": summaries_found,
},
)
return json.dumps(result, ensure_ascii=False, indent=2)
except Exception as e:
result = {
"status": "error",
"message": f"Failed to check code memory: {str(e)}",
"file_paths": file_paths
if isinstance(file_paths, list)
else [str(file_paths)],
"results": [],
}
log_operation(
"read_code_mem_error", {"file_paths": file_paths, "error": str(e)}
)
return json.dumps(result, ensure_ascii=False, indent=2)
def _extract_file_section_from_summary(
summary_content: str, target_file_path: str
) -> str:
"""
Extract the specific section for a file from the summary content
Args:
summary_content: Full summary content
target_file_path: Path of the target file
Returns:
File-specific section or None if not found
"""
import re