mirror of
https://github.com/bytedance/deer-flow.git
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171 lines
7.0 KiB
Python
171 lines
7.0 KiB
Python
"""Minimal asynchronous client for the LightRAG APIs DeerFlow consumes."""
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from __future__ import annotations
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from typing import Any
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import httpx
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QUERY_MODES = ("naive", "local", "global", "hybrid", "mix")
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class LightRAGError(Exception):
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"""Base class for normalized LightRAG failures."""
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class LightRAGAPIError(LightRAGError):
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"""LightRAG rejected the request with a readable failure."""
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class LightRAGConnectionError(LightRAGError):
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"""LightRAG could not be reached or timed out."""
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class LightRAGProtocolError(LightRAGError):
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"""LightRAG returned an invalid or unexpected HTTP response."""
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class LightRAGClient:
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"""Direct HTTP client for DeerFlow's read-only retrieval tools.
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The client deliberately owns no cache or persistent state. A fresh HTTP
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session is opened for each method call so callers do not need to manage a
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client lifecycle. The optional API key is sent as the ``X-API-Key``
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request header, the single credential form LightRAG documents for
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API-key-authenticated servers; unauthenticated deployments simply omit it.
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"""
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def __init__(
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self,
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*,
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base_url: str,
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api_key: str | None,
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timeout: float = 30,
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transport: httpx.AsyncBaseTransport | None = None,
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) -> None:
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self.base_url = base_url.rstrip("/")
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self.timeout = timeout
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self._api_key = api_key
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self._transport = transport
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def _redact(self, value: object) -> str:
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text = str(value)
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if self._api_key:
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text = text.replace(self._api_key, "[REDACTED]")
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return text
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def _error_message(self, payload: object, status_code: int) -> str | None:
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"""Extract a redacted, human-readable message from an error payload.
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LightRAG failures carry text in ``message`` (QueryDataResponse
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envelope) or ``detail`` (FastAPI error handler, either a string or a
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list of validation objects whose ``msg`` holds the reason, prefixed by
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pydantic's "Value error, "). Anything else — structured bodies, plain
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text, missing payloads — yields ``None`` so the caller falls back to a
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stable protocol error instead of dumping raw JSON at the model.
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"""
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if not isinstance(payload, dict):
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return None
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candidate = payload.get("message")
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if not isinstance(candidate, str) or not candidate.strip():
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detail = payload.get("detail")
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if isinstance(detail, str):
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candidate = detail
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elif isinstance(detail, list):
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candidate = self._first_validation_message(detail)
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if isinstance(candidate, str) and candidate.strip():
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text = candidate.removeprefix("Value error, ").strip()
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return self._redact(text)
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return None
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@staticmethod
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def _first_validation_message(items: list[object]) -> str | None:
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for item in items:
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if isinstance(item, dict):
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message = item.get("msg")
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if isinstance(message, str) and message.strip():
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return message
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return None
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async def _request(self, method: str, path: str, *, json: dict[str, Any] | None = None) -> dict[str, Any]:
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request_headers = {"Accept": "application/json"}
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if self._api_key:
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request_headers["X-API-Key"] = self._api_key
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client_kwargs: dict[str, Any] = {
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"base_url": self.base_url,
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"headers": request_headers,
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"timeout": self.timeout,
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}
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if self._transport is not None:
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client_kwargs["transport"] = self._transport
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try:
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async with httpx.AsyncClient(**client_kwargs) as client:
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response = await client.request(method, path, json=json)
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except httpx.TimeoutException:
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raise LightRAGConnectionError(f"LightRAG request timed out after {self.timeout:g} seconds.") from None
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except httpx.RequestError as exc:
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detail = self._redact(exc)
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raise LightRAGConnectionError(f"{type(exc).__name__}: {detail}") from None
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if response.is_error:
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# A 404 on the data-retrieval endpoint means either a wrong
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# base_url or a LightRAG older than v1.4.9, where /query/data did
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# not exist yet; the default "Not Found" body helps neither case.
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if response.status_code == 404:
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raise LightRAGAPIError("LightRAG data-retrieval endpoint not found; check base_url or upgrade LightRAG to v1.4.9 or newer.")
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try:
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error_payload = response.json()
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except ValueError:
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raise LightRAGProtocolError(f"LightRAG request failed (HTTP {response.status_code}).") from None
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message = self._error_message(error_payload, response.status_code)
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if message is not None:
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raise LightRAGAPIError(message)
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raise LightRAGProtocolError(f"LightRAG request failed (HTTP {response.status_code}).")
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try:
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payload = response.json()
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except ValueError:
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raise LightRAGProtocolError("LightRAG returned invalid JSON.") from None
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if not isinstance(payload, dict):
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raise LightRAGProtocolError("LightRAG returned a non-object JSON payload.")
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status = payload.get("status")
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if status != "success":
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if "chunks" in payload or "entities" in payload:
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# v1.4.8 answers with a flat {entities, relationships,
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# chunks, metadata} payload; the status/data envelope and the
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# reference-bearing chunk fields both shipped in v1.4.9.
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raise LightRAGAPIError("LightRAG server response predates v1.4.9; upgrade LightRAG to v1.4.9 or newer to use the data-retrieval endpoint.")
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message = payload.get("message")
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text = self._redact(message) if isinstance(message, str) and message.strip() else "LightRAG request failed."
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raise LightRAGAPIError(text)
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return payload
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async def query_data(
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self,
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query: str,
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*,
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mode: str = "hybrid",
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top_k: int = 60,
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chunk_top_k: int | None = None,
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) -> dict[str, Any]:
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"""Run one read-only structured retrieval against ``POST /query/data``.
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The data endpoint performs no LLM generation and always returns
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entities, relationships, chunks, and references, which is exactly the
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read-only shape DeerFlow's knowledge tool consumes.
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"""
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if mode not in QUERY_MODES:
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raise ValueError(f"mode must be one of {QUERY_MODES}")
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request_body: dict[str, object] = {"query": query, "mode": mode, "top_k": top_k}
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if chunk_top_k is not None:
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request_body["chunk_top_k"] = chunk_top_k
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payload = await self._request("POST", "/query/data", json=request_body)
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data = payload.get("data")
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if not isinstance(data, dict):
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raise LightRAGProtocolError("LightRAG returned an invalid retrieval result.")
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return data
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