64 lines
2.1 KiB
Python
64 lines
2.1 KiB
Python
import sys
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import os
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import asyncio
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# 路径兼容
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sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from backend.core.logger import setup_logging
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# 初始化日志 (写在 FastMCP 初始化之前)
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setup_logging()
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from mcp.server.fastmcp import FastMCP
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from backend.services.crawler_service import crawler_service
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mcp = FastMCP("WikiCrawler-V3")
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@mcp.tool()
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async def kb_add_website(url: str) -> str:
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"""[Admin] Add a website map task."""
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try:
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res = crawler_service.map_site(url)
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return f"Task Registered. ID: {res['task_id']}, Links Found: {res['count']}"
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except Exception as e:
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return f"Error: {e}"
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@mcp.tool()
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async def kb_check_status(task_id: int) -> str:
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"""[Monitor] Check detailed progress and active threads."""
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data = crawler_service.get_task_status(task_id)
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if not data: return "Task not found."
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s = data['stats']
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threads = data['active_threads']
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report = (
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f"Progress: {s['completed']}/{s['total']} (Pending: {s['pending']})\n"
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f"Active Threads: {len(threads)}\n"
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)
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if threads:
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report += "Currently Crawling:\n" + "\n".join([f"- {t}" for t in threads[:5]])
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return report
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@mcp.tool()
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async def kb_run_crawler(task_id: int, batch_size: int = 5) -> str:
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"""[Action] Trigger crawler batch."""
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# MCP 同步调用以获得反馈
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res = crawler_service.process_queue_concurrent(task_id, batch_size)
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return f"Batch Finished. Count: {res.get('count', 0)}"
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@mcp.tool()
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async def kb_search(query: str, task_id: int = None) -> str:
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"""[User] Search knowledge base."""
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res = crawler_service.search(query, task_id, 5)
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results = res.get('results', [])
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if not results: return "No results."
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output = []
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for i, r in enumerate(results):
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score_display = f"{r['score']:.4f}" + (" (Reranked)" if r.get('reranked') else "")
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meta = r.get('meta_info', {})
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path = meta.get('header_path', 'Root')
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output.append(f"[{i+1}] Score: {score_display}\nPath: {path}\nContent: {r['content'][:200]}...")
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return "\n\n".join(output)
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if __name__ == "__main__":
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mcp.run() |