466 lines
16 KiB
Python
466 lines
16 KiB
Python
#!/usr/bin/env python3
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"""
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多关键词搜索MCP服务器
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支持关键词数组匹配，按匹配数量排序输出
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参考json_reader_server.py的实现方式
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"""
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import json
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import os
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import sys
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import asyncio
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import re
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from typing import Any, Dict, List, Optional, Union
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def validate_file_path(file_path: str, allowed_dir: str) -> str:
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"""验证文件路径是否在允许的目录内"""
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# 转换为绝对路径
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if not os.path.isabs(file_path):
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file_path = os.path.abspath(file_path)
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allowed_dir = os.path.abspath(allowed_dir)
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# 检查路径是否在允许的目录内
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if not file_path.startswith(allowed_dir):
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raise ValueError(f"访问被拒绝: 路径 {file_path} 不在允许的目录 {allowed_dir} 内")
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# 检查路径遍历攻击
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if ".." in file_path:
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raise ValueError(f"访问被拒绝: 检测到路径遍历攻击尝试")
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return file_path
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def get_allowed_directory():
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"""获取允许访问的目录"""
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# 从环境变量读取项目数据目录
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project_dir = os.getenv("PROJECT_DATA_DIR", "./projects")
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return os.path.abspath(project_dir)
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def is_regex_pattern(pattern: str) -> bool:
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"""检测字符串是否为正则表达式模式"""
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# 检查 /pattern/ 格式
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if pattern.startswith('/') and pattern.endswith('/') and len(pattern) > 2:
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return True
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# 检查 r"pattern" 或 r'pattern' 格式
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if pattern.startswith(('r"', "r'")) and pattern.endswith(('"', "'")) and len(pattern) > 3:
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return True
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# 检查是否包含正则特殊字符
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regex_chars = {'*', '+', '?', '|', '(', ')', '[', ']', '{', '}', '^', '$', '\\', '.'}
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return any(char in pattern for char in regex_chars)
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def compile_pattern(pattern: str) -> Union[re.Pattern, str, None]:
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"""编译正则表达式模式，如果不是正则则返回原字符串"""
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if not is_regex_pattern(pattern):
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return pattern
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try:
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# 处理 /pattern/ 格式
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if pattern.startswith('/') and pattern.endswith('/'):
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regex_body = pattern[1:-1]
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return re.compile(regex_body)
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# 处理 r"pattern" 或 r'pattern' 格式
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if pattern.startswith(('r"', "r'")) and pattern.endswith(('"', "'")):
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regex_body = pattern[2:-1]
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return re.compile(regex_body)
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# 直接编译包含正则字符的字符串
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return re.compile(pattern)
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except re.error as e:
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# 如果编译失败，返回None表示无效的正则
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print(f"警告: 正则表达式 '{pattern}' 编译失败: {e}")
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return None
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def multi_keyword_search(keywords: List[str], file_paths: List[str],
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limit: int = 10, case_sensitive: bool = False) -> Dict[str, Any]:
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"""执行多关键词和正则表达式搜索"""
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if not keywords:
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return {
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"content": [
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{
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"type": "text",
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"text": "错误：关键词列表不能为空"
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}
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]
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}
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if not file_paths:
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return {
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"content": [
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{
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"type": "text",
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"text": "错误：文件路径列表不能为空"
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}
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]
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}
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# 预处理和验证关键词中的正则表达式
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valid_keywords = []
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regex_errors = []
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for keyword in keywords:
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compiled = compile_pattern(keyword)
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if compiled is None:
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regex_errors.append(keyword)
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else:
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valid_keywords.append(keyword)
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if regex_errors:
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error_msg = f"警告: 以下正则表达式编译失败，将被忽略: {', '.join(regex_errors)}"
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print(error_msg)
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# 处理项目目录限制
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project_data_dir = get_allowed_directory()
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# 验证文件路径
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valid_paths = []
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for file_path in file_paths:
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try:
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# 解析相对路径
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if not os.path.isabs(file_path):
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# 尝试在项目目录中查找文件
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full_path = os.path.join(project_data_dir, file_path.lstrip('./'))
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if os.path.exists(full_path):
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valid_paths.append(full_path)
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else:
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# 如果直接路径不存在，尝试递归查找
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found = find_file_in_project(file_path, project_data_dir)
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if found:
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valid_paths.append(found)
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else:
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if file_path.startswith(project_data_dir) and os.path.exists(file_path):
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valid_paths.append(file_path)
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except Exception as e:
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continue
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if not valid_paths:
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return {
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"content": [
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{
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"type": "text",
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"text": f"错误：在项目目录 {project_data_dir} 中未找到指定文件"
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}
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]
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}
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# 收集所有匹配结果
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all_results = []
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for file_path in valid_paths:
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try:
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results = search_keywords_in_file(file_path, valid_keywords, case_sensitive)
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all_results.extend(results)
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except Exception as e:
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continue
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# 按匹配数量排序（降序）
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all_results.sort(key=lambda x: x['match_count'], reverse=True)
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# 限制结果数量
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limited_results = all_results[:limit]
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# 格式化输出
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if not limited_results:
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return {
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"content": [
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{
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"type": "text",
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"text": "未找到匹配的结果"
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}
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]
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}
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# 增强格式化输出，显示匹配类型和详细信息
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formatted_lines = []
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for result in limited_results:
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line_prefix = f"{result['line_number']}:match_count({result['match_count']}):"
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# 构建匹配详情
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match_details = []
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for pattern in result['matched_patterns']:
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if pattern['type'] == 'regex':
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match_details.append(f"[regex:{pattern['original']}={pattern['match']}]")
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else:
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match_details.append(f"[keyword:{pattern['match']}]")
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match_info = " ".join(match_details) if match_details else ""
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formatted_line = f"{line_prefix}{match_info}:{result['content']}" if match_info else f"{line_prefix}{result['content']}"
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formatted_lines.append(formatted_line)
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formatted_output = "\n".join(formatted_lines)
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return {
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"content": [
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{
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"type": "text",
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"text": formatted_output
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}
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]
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}
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def search_keywords_in_file(file_path: str, keywords: List[str],
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case_sensitive: bool) -> List[Dict[str, Any]]:
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"""搜索单个文件中的关键词和正则表达式"""
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results = []
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try:
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with open(file_path, 'r', encoding='utf-8', errors='ignore') as f:
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lines = f.readlines()
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except Exception as e:
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return results
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# 预处理所有模式
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processed_patterns = []
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for keyword in keywords:
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compiled = compile_pattern(keyword)
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if compiled is not None: # 跳过无效的正则表达式
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processed_patterns.append({
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'original': keyword,
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'pattern': compiled,
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'is_regex': isinstance(compiled, re.Pattern)
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})
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for line_number, line in enumerate(lines, 1):
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line_content = line.rstrip('\n\r')
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search_line = line_content if case_sensitive else line_content.lower()
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# 统计匹配的模式数量
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matched_patterns = []
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for pattern_info in processed_patterns:
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pattern = pattern_info['pattern']
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is_regex = pattern_info['is_regex']
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match_found = False
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match_details = None
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if is_regex:
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# 正则表达式匹配
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if case_sensitive:
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match = pattern.search(line_content)
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else:
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# 对于不区分大小写的正则，需要重新编译
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if isinstance(pattern, re.Pattern):
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# 创建不区分大小写的版本
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flags = pattern.flags | re.IGNORECASE
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case_insensitive_pattern = re.compile(pattern.pattern, flags)
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match = case_insensitive_pattern.search(line_content)
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else:
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match = pattern.search(search_line)
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if match:
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match_found = True
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match_details = match.group(0)
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else:
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# 普通字符串匹配
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search_keyword = pattern if case_sensitive else pattern.lower()
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if search_keyword in search_line:
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match_found = True
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match_details = pattern
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if match_found:
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matched_patterns.append({
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'original': pattern_info['original'],
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'type': 'regex' if is_regex else 'keyword',
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'match': match_details
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})
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match_count = len(matched_patterns)
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if match_count > 0:
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results.append({
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'line_number': line_number,
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'content': line_content,
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'match_count': match_count,
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'matched_patterns': matched_patterns,
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'file_path': file_path
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})
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return results
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def find_file_in_project(filename: str, project_dir: str) -> Optional[str]:
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"""在项目目录中递归查找文件"""
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for root, dirs, files in os.walk(project_dir):
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if filename in files:
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return os.path.join(root, filename)
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return None
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async def handle_request(request: Dict[str, Any]) -> Dict[str, Any]:
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"""Handle MCP request"""
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try:
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method = request.get("method")
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params = request.get("params", {})
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request_id = request.get("id")
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if method == "initialize":
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return {
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"jsonrpc": "2.0",
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"id": request_id,
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"result": {
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"protocolVersion": "2024-11-05",
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"capabilities": {
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"tools": {}
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},
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"serverInfo": {
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"name": "multi-keyword-search",
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"version": "1.0.0"
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}
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}
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}
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elif method == "ping":
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return {
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"jsonrpc": "2.0",
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"id": request_id,
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"result": {
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"pong": True
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}
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}
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elif method == "tools/list":
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return {
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"jsonrpc": "2.0",
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"id": request_id,
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"result": {
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"tools": [
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{
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"name": "multi_keyword_search",
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"description": "智能关键词和正则表达式混合搜索工具，返回按匹配数量排序的结果。支持普通关键词和正则表达式混合使用。正则表达式支持格式：/pattern/、r\"pattern\"或包含正则特殊字符的字符串。结果格式：[行号]:[匹配数量]:[匹配信息]:[行的原始内容]",
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"inputSchema": {
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"type": "object",
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"properties": {
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"keywords": {
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"type": "array",
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"items": {"type": "string"},
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"description": "要搜索的关键词和正则表达式数组。支持：1)普通关键词 2)/pattern/格式正则 3)r\"pattern\"格式正则 4)包含正则特殊字符的字符串"
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},
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"file_paths": {
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"type": "array",
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"items": {"type": "string"},
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"description": "要搜索的文件路径列表"
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},
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"limit": {
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"type": "integer",
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"description": "返回结果的最大数量，默认10",
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"default": 10
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},
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"case_sensitive": {
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"type": "boolean",
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"description": "是否区分大小写，默认false",
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"default": False
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}
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},
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"required": ["keywords", "file_paths"]
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}
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}
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]
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}
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}
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elif method == "tools/call":
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tool_name = params.get("name")
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arguments = params.get("arguments", {})
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if tool_name == "multi_keyword_search":
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keywords = arguments.get("keywords", [])
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file_paths = arguments.get("file_paths", [])
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limit = arguments.get("limit", 10)
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case_sensitive = arguments.get("case_sensitive", False)
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result = multi_keyword_search(keywords, file_paths, limit, case_sensitive)
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return {
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"jsonrpc": "2.0",
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"id": request_id,
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"result": result
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}
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else:
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return {
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"jsonrpc": "2.0",
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"id": request_id,
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"error": {
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"code": -32601,
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"message": f"Unknown tool: {tool_name}"
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}
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}
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else:
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return {
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"jsonrpc": "2.0",
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"id": request_id,
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"error": {
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"code": -32601,
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"message": f"Unknown method: {method}"
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}
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}
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except Exception as e:
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return {
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"jsonrpc": "2.0",
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"id": request.get("id"),
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"error": {
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"code": -32603,
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"message": f"Internal error: {str(e)}"
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}
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}
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async def main():
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"""Main entry point."""
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try:
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while True:
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# Read from stdin
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line = await asyncio.get_event_loop().run_in_executor(None, sys.stdin.readline)
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if not line:
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break
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line = line.strip()
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if not line:
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continue
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try:
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request = json.loads(line)
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response = await handle_request(request)
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# Write to stdout
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sys.stdout.write(json.dumps(response) + "\n")
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sys.stdout.flush()
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except json.JSONDecodeError:
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error_response = {
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"jsonrpc": "2.0",
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"error": {
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"code": -32700,
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"message": "Parse error"
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}
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}
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sys.stdout.write(json.dumps(error_response) + "\n")
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sys.stdout.flush()
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except Exception as e:
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error_response = {
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"jsonrpc": "2.0",
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"error": {
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"code": -32603,
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"message": f"Internal error: {str(e)}"
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}
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}
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sys.stdout.write(json.dumps(error_response) + "\n")
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sys.stdout.flush()
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except KeyboardInterrupt:
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pass
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if __name__ == "__main__":
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asyncio.run(main()) |