65 lines
2.2 KiB
Python
65 lines
2.2 KiB
Python
import json
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from typing import Any, Dict, Optional
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import httpx
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from config import Config
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class RagflowClient:
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"""RAGFlow 客户端（仅检索）"""
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def __init__(self):
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cfg = Config.get_section("ragflow")
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self._base_url = cfg.get("url", "")
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self._api_key = cfg.get("api_key", "")
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self._retrieval_path = cfg.get("retrieval", "/api/v1/retrieval")
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self._table_retrieval_dataset_id = cfg.get("table_retrieval_dataset_id", "")
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self._sql_gen_dataset_id = cfg.get("sql_gen_dataset_id", "")
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def _build_url(self) -> str:
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return self._base_url.rstrip("/") + "/" + self._retrieval_path.lstrip("/")
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def retrieve(self, query: str, top_k: int = 3, dataset_id: Optional[str] = None, document_ids: Optional[str] = None) -> Dict[str, Any]:
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"""检索匹配文档"""
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if not self._base_url or not self._retrieval_path:
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raise RuntimeError("未配置 ragflow.url 或 ragflow.retrieval")
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if not dataset_id:
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raise ValueError("未提供 ragflow.dataset_id，无法进行检索")
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url = self._build_url()
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headers = {"Authorization": f"Bearer {self._api_key}"} if self._api_key else {}
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payload = {
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"dataset_ids": dataset_id or "",
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"query": query,
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"top_k": top_k,
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}
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if document_ids:
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payload["document_ids"] = document_ids
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with httpx.Client(timeout=30) as client:
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response = client.post(url, json=payload, headers=headers)
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response.raise_for_status()
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return response.json()
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def extract_table_name(record: Dict[str, Any]) -> Optional[str]:
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"""从检索结果中提取表名"""
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if not record:
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return None
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metadata = record.get("metadata") or {}
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for key in ("table", "table_name"):
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if key in metadata:
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return metadata.get(key)
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for key in ("table", "table_name"):
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if key in record:
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return record.get(key)
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content = record.get("content") or record.get("text") or ""
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for line in str(content).splitlines():
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if line.lower().startswith("table:"):
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return line.split(":", 1)[1].strip()
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return None
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