feat(rag): align LightRAG native citations and MCP bridge

This commit is contained in:
lix-2026
2026-06-09 09:20:56 +08:00
parent 0e8b03daf8
commit 8e3be8b0b7
39 changed files with 2255 additions and 2732 deletions
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#!/usr/bin/env python3
"""MNote LightRAG MCP facade.
This is intentionally thin: LightRAG owns retrieval, MNote owns citation/open
mapping through its source registry.
"""
from __future__ import annotations
import os
from pathlib import Path
from typing import Any
import httpx
from mcp.server.fastmcp import FastMCP
DEFAULT_ENV_FILE = "/mnt/Data1T/Mnote_data/lightrag/LightRAG/.env"
DEFAULT_MNOTE_WEB_URL = "http://127.0.0.1:3000"
DEFAULT_ROOT_URI = "file:///mnt/Data1T/Mnote_data/users/mnote-e2e/workspaces/my-space"
DEFAULT_WORKSPACE_ID = "local-ws:mnote-e2e:my-space"
mcp = FastMCP("MNote-LightRAG-Server")
def _read_env_value(key: str, env_file: str) -> str:
path = Path(env_file)
if not path.exists():
return ""
for line in path.read_text(encoding="utf-8").splitlines():
if not line.startswith(f"{key}="):
continue
value = line.split("=", 1)[1].strip()
if (value.startswith('"') and value.endswith('"')) or (
value.startswith("'") and value.endswith("'")
):
value = value[1:-1]
return value
return ""
def _lightrag_base_url() -> str:
env_file = os.environ.get("MNOTE_LIGHTRAG_ENV_FILE", DEFAULT_ENV_FILE)
host = os.environ.get("LIGHTRAG_HOST") or _read_env_value("HOST", env_file) or "127.0.0.1"
port = os.environ.get("LIGHTRAG_PORT") or _read_env_value("PORT", env_file) or "9621"
return f"http://{host}:{port}".rstrip("/")
def _lightrag_api_key() -> str:
env_file = os.environ.get("MNOTE_LIGHTRAG_ENV_FILE", DEFAULT_ENV_FILE)
return os.environ.get("LIGHTRAG_API_KEY") or _read_env_value("LIGHTRAG_API_KEY", env_file)
def _mnote_web_url() -> str:
return os.environ.get("MNOTE_WEB_URL", DEFAULT_MNOTE_WEB_URL).rstrip("/")
def _mnote_headers() -> dict[str, str]:
return {
"content-type": "application/json",
"x-mnote-actor-id": os.environ.get("MNOTE_ACTOR_ID", "mnote-e2e"),
"x-mnote-actor-type": os.environ.get("MNOTE_ACTOR_TYPE", "user"),
}
async def _request_lightrag(path: str, *, method: str = "GET", json_body: Any = None) -> Any:
headers = {"accept": "application/json"}
api_key = _lightrag_api_key()
if api_key:
# 当前 LightRAG /query 接受 X-API-KeyBearer 在本机版本会返回 Invalid token。
headers["X-API-Key"] = api_key
async with httpx.AsyncClient(timeout=180) as client:
response = await client.request(
method,
f"{_lightrag_base_url()}{path}",
headers=headers,
json=json_body,
)
try:
payload = response.json()
except Exception:
payload = {"text": response.text}
if response.status_code >= 400:
return {"status": "error", "response": None, "error": payload, "httpStatus": response.status_code}
return {"status": "success", "response": payload, "error": None, "httpStatus": response.status_code}
@mcp.tool(
name="verify_server_health",
description="Check whether the configured local LightRAG server is healthy.",
)
async def verify_server_health() -> Any:
return await _request_lightrag("/health")
@mcp.tool(
name="check_indexing_status",
description="Check the LightRAG document processing pipeline status.",
)
async def check_indexing_status() -> Any:
return await _request_lightrag("/documents/pipeline_status")
@mcp.tool(
name="list_all_docs",
description="List documents currently known to LightRAG.",
)
async def list_all_docs() -> Any:
return await _request_lightrag("/documents")
@mcp.tool(
name="query_knowledge_graph",
description="Search the local LightRAG knowledge base. Use mix by default; references include provider file_path/chunk_id for MNote citation mapping.",
)
async def query_knowledge_graph(
prompt: str,
search_mode: str = "mix",
limit: int = 60,
context_only: bool = False,
prompt_only: bool = False,
include_references: bool = True,
include_chunk_content: bool = True,
) -> Any:
mode_aliases = {
"keyword": "naive",
"semantic": "hybrid",
}
mode = mode_aliases.get(search_mode, search_mode)
body = {
"query": prompt,
"mode": mode,
"top_k": limit,
"chunk_top_k": limit,
"only_need_context": context_only,
"only_need_prompt": prompt_only,
"include_references": include_references,
"include_chunk_content": include_chunk_content,
"response_type": "Multiple Paragraphs",
}
return await _request_lightrag("/query", method="POST", json_body=body)
@mcp.tool(
name="open_mnote_reference",
description="Map a LightRAG reference/file_path/chunk_id to an MNote clickable citationUrl using MNote source registry.",
)
async def open_mnote_reference(
file_path: str,
chunk_id: str = "",
reference_id: str = "",
workspace_id: str = DEFAULT_WORKSPACE_ID,
root_uri: str = DEFAULT_ROOT_URI,
include_registry: bool = False,
) -> Any:
body: dict[str, Any] = {
"workspaceId": workspace_id,
"rootUri": root_uri,
"filePath": file_path,
}
if chunk_id:
body["chunkId"] = chunk_id
if reference_id:
body["referenceId"] = reference_id
async with httpx.AsyncClient(timeout=60) as client:
response = await client.post(
f"{_mnote_web_url()}/api/knowledge-rag/open-reference",
headers=_mnote_headers(),
json=body,
)
try:
payload = response.json()
except Exception:
payload = {"text": response.text}
if response.status_code >= 400:
return {"status": "error", "response": None, "error": payload, "httpStatus": response.status_code}
if not include_registry and isinstance(payload, dict):
payload = {key: value for key, value in payload.items() if key != "registry"}
return {"status": "success", "response": payload, "error": None, "httpStatus": response.status_code}
if __name__ == "__main__":
mcp.run()