mirror of
https://github.com/xinnan-tech/xiaozhi-esp32-server.git
synced 2026-07-22 23:23:55 +08:00
99 lines
3.5 KiB
Python
99 lines
3.5 KiB
Python
import requests
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import sys
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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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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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def search_from_ragflow(conn, 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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base_url = conn.config["plugins"]["search_from_ragflow"].get("base_url", "")
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api_key = conn.config["plugins"]["search_from_ragflow"].get("api_key", "")
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dataset_ids = conn.config["plugins"]["search_from_ragflow"].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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response = requests.post(
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url,
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json=payload,
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headers=headers,
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timeout=5,
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verify=False,
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)
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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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import json
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result = json.loads(response_text)
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if result.get("code") != 0:
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error_detail = response.get("error", {}).get("detail", "")
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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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"从RAGflow获取信息失败，原因：%s", str(error_detail)
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)
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return ActionResponse(Action.RESPONSE, None, "RAG接口返回异常")
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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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# 构建适合大模型的上下文内容（每段前加编号，段间两个换行）
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context_text = "\n\n".join(
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f"{i+1}. {c.strip()}" for i, c in enumerate(contents[:5])
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)
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if not context_text:
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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 Exception as e:
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# 使用安全的方式记录异常，避免编码问题
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logger.bind(tag=TAG).error("从RAGflow获取信息失败，原因：%s", str(e))
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return ActionResponse(Action.RESPONSE, None, "RAG接口返回异常")
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