mirror of
https://github.com/xinnan-tech/xiaozhi-esp32-server.git
synced 2026-07-21 22:53:56 +08:00
143 lines
5.5 KiB
Python
143 lines
5.5 KiB
Python
import json
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import httpx
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from config.logger import setup_logging
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from plugins_func.register import register_function, ToolType, ActionResponse, Action
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from typing import TYPE_CHECKING
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if TYPE_CHECKING:
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from core.connection import ConnectionHandler
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TAG = __name__
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logger = setup_logging()
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# 定义基础的函数描述模板
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SEARCH_FROM_RAGFLOW_FUNCTION_DESC = {
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"type": "function",
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"function": {
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"name": "search_from_ragflow",
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"description": "从知识库中查询信息",
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"parameters": {
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"type": "object",
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"properties": {"question": {"type": "string", "description": "查询的问题"}},
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"required": ["question"],
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},
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},
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}
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@register_function(
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"search_from_ragflow", SEARCH_FROM_RAGFLOW_FUNCTION_DESC, ToolType.SYSTEM_CTL
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)
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async def search_from_ragflow(conn: "ConnectionHandler", question=None):
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# 确保字符串参数正确处理编码
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if question and isinstance(question, str):
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# 确保问题参数是UTF-8编码的字符串
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pass
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else:
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question = str(question) if question is not None else ""
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ragflow_config = conn.config.get("plugins", {}).get("search_from_ragflow", {})
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base_url = ragflow_config.get("base_url", "")
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api_key = ragflow_config.get("api_key", "")
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dataset_ids = ragflow_config.get("dataset_ids", [])
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url = base_url + "/api/v1/retrieval"
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headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
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# 确保payload中的字符串都是UTF-8编码
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payload = {"question": question, "dataset_ids": dataset_ids}
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try:
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# 使用ensure_ascii=False确保JSON序列化时正确处理中文
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async with httpx.AsyncClient(timeout=httpx.Timeout(5.0, connect=3.0), verify=False) as client:
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response = await client.post(url, json=payload, headers=headers)
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# 显式设置响应的编码为utf-8
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response.encoding = "utf-8"
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response.raise_for_status()
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# 先获取文本内容，然后手动处理JSON解码
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response_text = response.text
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result = json.loads(response_text)
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if result.get("code") != 0:
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error_detail = result.get("error", {}).get("detail", "未知错误")
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error_message = result.get("error", {}).get("message", "")
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error_code = result.get("code", "")
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# 安全地记录错误信息
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logger.bind(tag=TAG).error(
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f"RAGFlow API调用失败，响应码：{error_code}，错误详情：{error_detail}，完整响应：{result}"
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)
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# 构建详细的错误响应
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error_response = f"RAG接口返回异常（错误码：{error_code}）"
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if error_message:
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error_response += f"：{error_message}"
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if error_detail:
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error_response += f"\n详情：{error_detail}"
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return ActionResponse(Action.RESPONSE, None, error_response)
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chunks = result.get("data", {}).get("chunks", [])
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contents = []
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for chunk in chunks:
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content = chunk.get("content", "")
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if content:
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# 安全地处理内容字符串
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if isinstance(content, str):
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contents.append(content)
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elif isinstance(content, bytes):
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contents.append(content.decode("utf-8", errors="replace"))
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else:
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contents.append(str(content))
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if contents:
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# 组织知识库内容为引用模式
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context_text = f"# 关于问题【{question}】查到知识库如下\n"
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context_text += "```\n\n\n".join(contents[:5])
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context_text += "\n```"
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else:
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context_text = "根据知识库查询结果，没有相关信息。"
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return ActionResponse(Action.REQLLM, context_text, None)
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except httpx.TimeoutException as e:
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error_response = "RAG接口请求超时"
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error_response += "\n可能原因：RAGflow服务响应缓慢或网络延迟"
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error_response += "\n解决方案：请稍后重试或检查RAGflow服务性能"
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return ActionResponse(Action.RESPONSE, None, error_response)
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except httpx.HTTPStatusError as e:
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if hasattr(e.response, "status_code"):
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status_code = e.response.status_code
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error_response = f"RAG接口HTTP错误（状态码：{status_code}）"
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try:
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error_detail = e.response.json().get("error", {}).get("message", "")
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if error_detail:
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error_response += f"\n错误详情：{error_detail}"
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except:
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pass
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else:
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error_response = f"RAG接口HTTP异常：{str(e)}"
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return ActionResponse(Action.RESPONSE, None, error_response)
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except httpx.HTTPError as e:
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error_response = "无法连接到RAG接口"
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error_response += "\n可能原因：RAGflow服务地址错误或服务未运行"
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error_response += "\n解决方案：请检查RAGflow服务地址配置和服务状态"
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return ActionResponse(Action.RESPONSE, None, error_response)
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except Exception as e:
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# 其他异常
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error_type = type(e).__name__
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logger.bind(tag=TAG).error(
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f"RAGflow处理异常，异常类型：{error_type}，详情：{str(e)}"
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)
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# 提供详细的错误信息
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error_response = f"RAG接口处理异常（{error_type}）：{str(e)}"
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return ActionResponse(Action.RESPONSE, None, error_response)
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