Europe PMC Literature Search MCP Server

""" 期刊资源 - 提供期刊相关的动态资源 """ import json import time from pathlib import Path from typing import Any from fastmcp import FastMCP def register_journal_resources(mcp: FastMCP) -> None: """注册期刊资源""" @mcp.resource("journals://{journal_name}/quality") def get_journal_quality_resource(journal_name: str) -> dict[str, Any]: """获取期刊质量资源数据""" try: # 尝试从本地缓存获取 cache_file = Path.home() / ".article_mcp_cache" / f"journal_{journal_name.replace(' ', '_').lower()}.json" if cache_file.exists(): with open(cache_file, 'r', encoding='utf-8') as f: cached_data = json.load(f) return { "journal_name": journal_name, "quality_metrics": cached_data.get("quality_metrics", {}), "ranking_info": cached_data.get("ranking_info", {}), "data_source": "cache", "last_updated": cached_data.get("timestamp"), "resource_type": "journal_quality" } # 如果没有缓存，返回基础信息 return { "journal_name": journal_name, "quality_metrics": {}, "ranking_info": {}, "data_source": "none", "message": "No cached data available. Use get_journal_quality tool to fetch data.", "resource_type": "journal_quality" } except Exception as e: return { "journal_name": journal_name, "error": str(e), "resource_type": "journal_quality" } @mcp.resource("stats://cache") def get_cache_stats() -> dict[str, Any]: """获取缓存统计信息""" try: cache_dir = Path.home() / ".article_mcp_cache" if not cache_dir.exists(): return { "cache_enabled": True, "cache_dir": str(cache_dir), "total_files": 0, "total_size_mb": 0, "last_accessed": None } # 统计缓存文件 total_files = 0 total_size = 0 newest_time = 0 for cache_file in cache_dir.glob("*.json"): total_files += 1 file_size = cache_file.stat().st_size total_size += file_size file_time = cache_file.stat().st_mtime newest_time = max(newest_time, file_time) return { "cache_enabled": True, "cache_dir": str(cache_dir), "total_files": total_files, "total_size_mb": round(total_size / (1024 * 1024), 2), "last_accessed": time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(newest_time)) if newest_time > 0 else None, "resource_type": "cache_stats" } except Exception as e: return { "cache_enabled": False, "error": str(e), "resource_type": "cache_stats" }