767 lines
26 KiB
Python
767 lines
26 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"Access denied: path {file_path} is not within allowed directory {allowed_dir}")
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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"Access denied: path traversal attack detected")
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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 load_tools_from_json() -> List[Dict[str, Any]]:
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"""从 JSON 文件加载工具定义"""
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try:
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tools_file = os.path.join(os.path.dirname(__file__), "tools", "multi_keyword_search_tools.json")
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if os.path.exists(tools_file):
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with open(tools_file, 'r', encoding='utf-8') as f:
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return json.load(f)
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else:
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# 如果 JSON 文件不存在，使用默认定义
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return []
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except Exception as e:
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print(f"Warning: Unable to load tool definition JSON file: {str(e)}")
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return []
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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"Warning: Regular expression '{pattern}' compilation failed: {e}")
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return None
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def parse_patterns_with_weights(patterns: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
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"""解析搜索模式列表，仅支持权重格式：
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[{"pattern": "keyword1", "weight": 2.0}, {"pattern": "/regex/", "weight": 0.5}]
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"""
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parsed_patterns = []
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for item in patterns:
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if not isinstance(item, dict):
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raise ValueError(f"Error: Search pattern must be in dictionary format with 'pattern' and 'weight' fields. Invalid item: {item}")
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pattern = item.get('pattern')
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weight = item.get('weight')
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if pattern is None:
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raise ValueError(f"Error: Missing 'pattern' field. Invalid item: {item}")
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if weight is None:
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raise ValueError(f"Error: Missing 'weight' field. Invalid item: {item}")
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# 确保权重是数字类型
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try:
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weight = float(weight)
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if weight <= 0:
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raise ValueError(f"Error: Weight must be a positive number. Invalid weight: {weight}")
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except (ValueError, TypeError):
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raise ValueError(f"Error: Weight must be a valid number. Invalid weight: {weight}")
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parsed_patterns.append({
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'pattern': pattern,
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'weight': weight
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})
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return parsed_patterns
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def search_count(patterns: List[Dict[str, Any]], file_paths: List[str],
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case_sensitive: bool = False) -> Dict[str, Any]:
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"""统计多模式匹配数量评估（关键词和正则表达式），必须包含权重"""
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if not patterns:
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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": "Error: Search pattern list cannot be empty"
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}
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]
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}
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# 解析搜索模式和权重
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try:
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parsed_patterns = parse_patterns_with_weights(patterns)
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except ValueError as e:
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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": str(e)
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}
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]
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}
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if not parsed_patterns:
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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": "Error: No valid search patterns"
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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": "Error: File path list cannot be empty"
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}
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]
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}
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# 预处理和验证搜索模式中的正则表达式
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valid_patterns = []
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regex_errors = []
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for pattern_info in parsed_patterns:
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pattern = pattern_info['pattern']
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compiled = compile_pattern(pattern)
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if compiled is None:
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regex_errors.append(pattern)
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else:
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valid_patterns.append({
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'pattern': pattern,
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'weight': pattern_info['weight'],
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'compiled_pattern': compiled
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})
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if regex_errors:
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error_msg = f"Warning: The following regular expressions failed to compile and will be ignored: {', '.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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# 移除 projects/ 前缀（如果存在）
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clean_path = file_path
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if clean_path.startswith('projects/'):
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clean_path = clean_path[9:] # 移除 'projects/' 前缀
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elif clean_path.startswith('./projects/'):
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clean_path = clean_path[11:] # 移除 './projects/' 前缀
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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, clean_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(clean_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"Error: Specified files not found in project directory {project_data_dir}"
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}
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]
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}
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# 统计所有匹配结果
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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_patterns_in_file(file_path, valid_patterns, 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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# 计算统计信息
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total_lines_searched = 0
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total_weight_score = 0.0
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pattern_match_stats = {}
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file_match_stats = {}
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# 初始化模式统计
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for pattern_info in valid_patterns:
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pattern_key = pattern_info['pattern']
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pattern_match_stats[pattern_key] = {
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'match_count': 0,
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'weight_score': 0.0,
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'lines_matched': set()
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}
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# 统计所有文件行数
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for file_path in valid_paths:
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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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total_lines_searched += len(lines)
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except Exception:
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continue
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# 处理匹配结果
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for result in all_results:
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total_weight_score += result.get('weight_score', 0)
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# 文件级别统计
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file_path = result['file_path']
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if file_path not in file_match_stats:
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file_match_stats[file_path] = {
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'match_count': 0,
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'weight_score': 0.0,
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'lines_matched': set()
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}
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file_match_stats[file_path]['match_count'] += 1
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file_match_stats[file_path]['weight_score'] += result.get('weight_score', 0)
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file_match_stats[file_path]['lines_matched'].add(result['line_number'])
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# 模式级别统计
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for pattern in result['matched_patterns']:
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original_pattern = pattern['original']
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if original_pattern in pattern_match_stats:
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pattern_match_stats[original_pattern]['match_count'] += pattern['match_count']
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pattern_match_stats[original_pattern]['weight_score'] += pattern['weight_score']
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pattern_match_stats[original_pattern]['lines_matched'].add(result['line_number'])
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# 格式化统计输出
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formatted_lines = []
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formatted_lines.append("=== Matching Statistics Evaluation ===")
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formatted_lines.append(f"Files searched: {len(valid_paths)}")
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formatted_lines.append(f"Total lines searched: {total_lines_searched}")
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formatted_lines.append(f"Total matched lines: {len(all_results)}")
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formatted_lines.append(f"Total weight score: {total_weight_score:.2f}")
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formatted_lines.append(f"Match rate: {(len(all_results)/total_lines_searched*100):.2f}%" if total_lines_searched > 0 else "Match rate: 0.00%")
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formatted_lines.append("")
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# 按文件统计
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formatted_lines.append("=== Statistics by File ===")
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for file_path, stats in sorted(file_match_stats.items(), key=lambda x: x[1]['weight_score'], reverse=True):
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file_name = os.path.basename(file_path)
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formatted_lines.append(f"File: {file_name}")
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formatted_lines.append(f" Matched lines: {len(stats['lines_matched'])}")
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formatted_lines.append(f" Weight score: {stats['weight_score']:.2f}")
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formatted_lines.append("")
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# 按模式统计
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formatted_lines.append("=== Statistics by Pattern ===")
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for pattern, stats in sorted(pattern_match_stats.items(), key=lambda x: x[1]['weight_score'], reverse=True):
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formatted_lines.append(f"Pattern: {pattern}")
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formatted_lines.append(f" Match count: {stats['match_count']}")
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formatted_lines.append(f" Matched lines: {len(stats['lines_matched'])}")
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formatted_lines.append(f" Weight score: {stats['weight_score']:.2f}")
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formatted_lines.append("")
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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(patterns: List[Dict[str, Any]], file_paths: List[str],
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limit: int = 10, case_sensitive: bool = False) -> Dict[str, Any]:
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"""执行多模式搜索（关键词和正则表达式），必须包含权重"""
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if not patterns:
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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": "Error: Search pattern list cannot be empty"
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}
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]
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}
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# 解析搜索模式和权重
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try:
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parsed_patterns = parse_patterns_with_weights(patterns)
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except ValueError as e:
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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": str(e)
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}
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]
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}
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if not parsed_patterns:
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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": "Error: No valid search patterns"
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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": "Error: File path list cannot be empty"
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}
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]
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}
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# 预处理和验证搜索模式中的正则表达式
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valid_patterns = []
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regex_errors = []
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for pattern_info in parsed_patterns:
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pattern = pattern_info['pattern']
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compiled = compile_pattern(pattern)
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if compiled is None:
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regex_errors.append(pattern)
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else:
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valid_patterns.append({
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'pattern': pattern,
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'weight': pattern_info['weight'],
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'compiled_pattern': compiled
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})
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if regex_errors:
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error_msg = f"Warning: The following regular expressions failed to compile and will be ignored: {', '.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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# 移除 projects/ 前缀（如果存在）
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clean_path = file_path
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if clean_path.startswith('projects/'):
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clean_path = clean_path[9:] # 移除 'projects/' 前缀
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elif clean_path.startswith('./projects/'):
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clean_path = clean_path[11:] # 移除 './projects/' 前缀
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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, clean_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(clean_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"Error: Specified files not found in project directory {project_data_dir}"
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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_patterns_in_file(file_path, valid_patterns, 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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# 按权重得分排序（降序），权重得分相同时按匹配数量排序
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all_results.sort(key=lambda x: (x.get('weight_score', 0), 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": "No matching results found"
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}
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]
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}
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# 增强格式化输出，在第一行显示总匹配行数，然后显示权重得分、匹配类型和详细信息
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formatted_lines = []
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# 第一行显示总匹配行数和当前显示数量
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total_matches = len(all_results)
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showing_count = len(limited_results)
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summary_line = f"Found {total_matches} matches, showing top {showing_count} results:"
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formatted_lines.append(summary_line)
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# 添加格式化的搜索结果
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for result in limited_results:
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weight_score = result.get('weight_score', 0)
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line_prefix = f"{result['line_number']}:weight({weight_score:.2f}):"
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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 ""
|
||
formatted_line = f"{line_prefix}{match_info}:{result['content']}" if match_info else f"{line_prefix}{result['content']}"
|
||
formatted_lines.append(formatted_line)
|
||
|
||
formatted_output = "\n".join(formatted_lines)
|
||
|
||
return {
|
||
"content": [
|
||
{
|
||
"type": "text",
|
||
"text": formatted_output
|
||
}
|
||
]
|
||
}
|
||
|
||
|
||
def search_patterns_in_file(file_path: str, patterns: List[Dict[str, Any]],
|
||
case_sensitive: bool) -> List[Dict[str, Any]]:
|
||
"""搜索单个文件中的搜索模式（关键词和正则表达式），支持权重计算"""
|
||
results = []
|
||
|
||
try:
|
||
with open(file_path, 'r', encoding='utf-8', errors='ignore') as f:
|
||
lines = f.readlines()
|
||
except Exception as e:
|
||
return results
|
||
|
||
# 预处理所有模式，包含权重信息
|
||
processed_patterns = []
|
||
for pattern_info in patterns:
|
||
compiled = pattern_info['compiled_pattern']
|
||
if compiled is not None: # 跳过无效的正则表达式
|
||
processed_patterns.append({
|
||
'original': pattern_info['pattern'],
|
||
'pattern': compiled,
|
||
'is_regex': isinstance(compiled, re.Pattern),
|
||
'weight': pattern_info['weight']
|
||
})
|
||
|
||
for line_number, line in enumerate(lines, 1):
|
||
line_content = line.rstrip('\n\r')
|
||
search_line = line_content if case_sensitive else line_content.lower()
|
||
|
||
# 统计匹配的模式数量和计算权重得分
|
||
matched_patterns = []
|
||
weight_score = 0.0
|
||
|
||
for pattern_info in processed_patterns:
|
||
pattern = pattern_info['pattern']
|
||
is_regex = pattern_info['is_regex']
|
||
weight = pattern_info['weight']
|
||
|
||
match_found = False
|
||
match_details = None
|
||
match_count_in_line = 0
|
||
|
||
if is_regex:
|
||
# 正则表达式匹配
|
||
if case_sensitive:
|
||
matches = list(pattern.finditer(line_content))
|
||
else:
|
||
# 对于不区分大小写的正则，需要重新编译
|
||
if isinstance(pattern, re.Pattern):
|
||
# 创建不区分大小写的版本
|
||
flags = pattern.flags | re.IGNORECASE
|
||
case_insensitive_pattern = re.compile(pattern.pattern, flags)
|
||
matches = list(case_insensitive_pattern.finditer(line_content))
|
||
else:
|
||
# 对于字符串模式，转换为小写再匹配
|
||
search_pattern = pattern.lower() if isinstance(pattern, str) else pattern
|
||
matches = list(re.finditer(search_pattern, search_line))
|
||
|
||
if matches:
|
||
match_found = True
|
||
match_details = matches[0].group(0)
|
||
# 重复正则匹配也只计算一次权重
|
||
match_count_in_line = 1
|
||
else:
|
||
# 普通字符串匹配
|
||
search_keyword = pattern if case_sensitive else pattern.lower()
|
||
if search_keyword in search_line:
|
||
match_found = True
|
||
match_details = pattern
|
||
# 重复关键词只计算一次权重
|
||
match_count_in_line = 1
|
||
|
||
if match_found:
|
||
# 计算该模式的权重贡献 (权重 * 匹配次数)
|
||
pattern_weight_score = weight * match_count_in_line
|
||
weight_score += pattern_weight_score
|
||
|
||
matched_patterns.append({
|
||
'original': pattern_info['original'],
|
||
'type': 'regex' if is_regex else 'keyword',
|
||
'match': match_details,
|
||
'weight': weight,
|
||
'match_count': match_count_in_line,
|
||
'weight_score': pattern_weight_score
|
||
})
|
||
|
||
if weight_score > 0:
|
||
results.append({
|
||
'line_number': line_number,
|
||
'content': line_content,
|
||
'match_count': len(matched_patterns),
|
||
'weight_score': weight_score,
|
||
'matched_patterns': matched_patterns,
|
||
'file_path': file_path
|
||
})
|
||
|
||
return results
|
||
|
||
|
||
def find_file_in_project(filename: str, project_dir: str) -> Optional[str]:
|
||
"""在项目目录中递归查找文件"""
|
||
for root, dirs, files in os.walk(project_dir):
|
||
if filename in files:
|
||
return os.path.join(root, filename)
|
||
return None
|
||
|
||
|
||
async def handle_request(request: Dict[str, Any]) -> Dict[str, Any]:
|
||
"""Handle MCP request"""
|
||
try:
|
||
method = request.get("method")
|
||
params = request.get("params", {})
|
||
request_id = request.get("id")
|
||
|
||
if method == "initialize":
|
||
return {
|
||
"jsonrpc": "2.0",
|
||
"id": request_id,
|
||
"result": {
|
||
"protocolVersion": "2024-11-05",
|
||
"capabilities": {
|
||
"tools": {}
|
||
},
|
||
"serverInfo": {
|
||
"name": "multi-keyword-search",
|
||
"version": "1.0.0"
|
||
}
|
||
}
|
||
}
|
||
|
||
elif method == "ping":
|
||
return {
|
||
"jsonrpc": "2.0",
|
||
"id": request_id,
|
||
"result": {
|
||
"pong": True
|
||
}
|
||
}
|
||
|
||
elif method == "tools/list":
|
||
# 从 JSON 文件加载工具定义
|
||
tools = load_tools_from_json()
|
||
return {
|
||
"jsonrpc": "2.0",
|
||
"id": request_id,
|
||
"result": {
|
||
"tools": tools
|
||
}
|
||
}
|
||
|
||
elif method == "tools/call":
|
||
tool_name = params.get("name")
|
||
arguments = params.get("arguments", {})
|
||
|
||
if tool_name == "search":
|
||
patterns = arguments.get("patterns", [])
|
||
file_paths = arguments.get("file_paths", [])
|
||
limit = arguments.get("limit", 10)
|
||
case_sensitive = arguments.get("case_sensitive", False)
|
||
|
||
result = search(patterns, file_paths, limit, case_sensitive)
|
||
|
||
return {
|
||
"jsonrpc": "2.0",
|
||
"id": request_id,
|
||
"result": result
|
||
}
|
||
|
||
elif tool_name == "search_count":
|
||
patterns = arguments.get("patterns", [])
|
||
file_paths = arguments.get("file_paths", [])
|
||
case_sensitive = arguments.get("case_sensitive", False)
|
||
|
||
result = search_count(patterns, file_paths, case_sensitive)
|
||
|
||
return {
|
||
"jsonrpc": "2.0",
|
||
"id": request_id,
|
||
"result": result
|
||
}
|
||
|
||
else:
|
||
return {
|
||
"jsonrpc": "2.0",
|
||
"id": request_id,
|
||
"error": {
|
||
"code": -32601,
|
||
"message": f"Unknown tool: {tool_name}"
|
||
}
|
||
}
|
||
|
||
else:
|
||
return {
|
||
"jsonrpc": "2.0",
|
||
"id": request_id,
|
||
"error": {
|
||
"code": -32601,
|
||
"message": f"Unknown method: {method}"
|
||
}
|
||
}
|
||
|
||
except Exception as e:
|
||
return {
|
||
"jsonrpc": "2.0",
|
||
"id": request.get("id"),
|
||
"error": {
|
||
"code": -32603,
|
||
"message": f"Internal error: {str(e)}"
|
||
}
|
||
}
|
||
|
||
|
||
async def main():
|
||
"""Main entry point."""
|
||
try:
|
||
while True:
|
||
# Read from stdin
|
||
line = await asyncio.get_event_loop().run_in_executor(None, sys.stdin.readline)
|
||
if not line:
|
||
break
|
||
|
||
line = line.strip()
|
||
if not line:
|
||
continue
|
||
|
||
try:
|
||
request = json.loads(line)
|
||
response = await handle_request(request)
|
||
|
||
# Write to stdout
|
||
sys.stdout.write(json.dumps(response) + "\n")
|
||
sys.stdout.flush()
|
||
|
||
except json.JSONDecodeError:
|
||
error_response = {
|
||
"jsonrpc": "2.0",
|
||
"error": {
|
||
"code": -32700,
|
||
"message": "Parse error"
|
||
}
|
||
}
|
||
sys.stdout.write(json.dumps(error_response) + "\n")
|
||
sys.stdout.flush()
|
||
|
||
except Exception as e:
|
||
error_response = {
|
||
"jsonrpc": "2.0",
|
||
"error": {
|
||
"code": -32603,
|
||
"message": f"Internal error: {str(e)}"
|
||
}
|
||
}
|
||
sys.stdout.write(json.dumps(error_response) + "\n")
|
||
sys.stdout.flush()
|
||
|
||
except KeyboardInterrupt:
|
||
pass
|
||
|
||
|
||
if __name__ == "__main__":
|
||
asyncio.run(main()) |