update:知识库自动创建function方法

This commit is contained in:
hrz
2025-11-07 12:20:50 +08:00
parent ff02c11558
commit d09fa0c1f6
3 changed files with 114 additions and 3 deletions
@@ -55,7 +55,7 @@ public class AgentPluginMappingServiceImpl extends ServiceImpl<AgentPluginMappin
paramInfo.put("name", knowledgeBaseEntity.getName());
paramInfo.put("description", knowledgeBaseEntity.getDescription());
mapping.setParamInfo(JSONUtils.toJSONString(paramInfo));
String providerCode = "xzmcp_search_from_knowledgeBase_" + modelConfigEntity.getModelCode() + "_"
String providerCode = "xzKnowledgeBase_search_from_" + modelConfigEntity.getModelCode() + "_"
+ index;
index++;
mapping.setProviderCode(providerCode);
@@ -1,6 +1,6 @@
"""服务端插件工具执行器"""
from typing import Dict, Any
from typing import Dict, Any, Optional, Tuple
from ..base import ToolType, ToolDefinition, ToolExecutor
from plugins_func.register import all_function_registry, Action, ActionResponse
@@ -11,12 +11,53 @@ class ServerPluginExecutor(ToolExecutor):
def __init__(self, conn):
self.conn = conn
self.config = conn.config
# 存储知识库工具名称到真实插件名称的映射
self._knowledge_base_mapping: Dict[str, str] = {}
def _parse_knowledge_base_config(self, config_name: str) -> Optional[str]:
"""
解析知识库配置名称,提取真实的插件名称
Args:
config_name: 配置名称,格式为 xzKnowledgeBase_<plugin_name>_<index>
Returns:
真实的插件名称,如果不是知识库配置则返回 None
Example:
"xzKnowledgeBase_search_from_ragflow_0" -> "search_from_ragflow"
"xzKnowledgeBase_search_from_ragflow_1" -> "search_from_ragflow"
"""
if not config_name.startswith("xzKnowledgeBase_"):
return None
# 移除前缀
name_without_prefix = config_name[len("xzKnowledgeBase_"):]
# 找到最后一个下划线的位置
last_underscore_index = name_without_prefix.rfind("_")
if last_underscore_index == -1:
return None
# 提取真实插件名称(从开头到最后一个下划线之前)
real_plugin_name = name_without_prefix[:last_underscore_index]
return real_plugin_name
async def execute(
self, conn, tool_name: str, arguments: Dict[str, Any]
) -> ActionResponse:
"""执行服务端插件工具"""
func_item = all_function_registry.get(tool_name)
# 检查是否是知识库工具调用
real_plugin_name = self._knowledge_base_mapping.get(tool_name)
if real_plugin_name:
# 使用真实的插件名称获取函数
func_item = all_function_registry.get(real_plugin_name)
else:
# 普通插件调用
func_item = all_function_registry.get(tool_name)
if not func_item:
return ActionResponse(
action=Action.NOTFOUND, response=f"插件函数 {tool_name} 不存在"
@@ -77,8 +118,45 @@ class ServerPluginExecutor(ToolExecutor):
tool_type=ToolType.SERVER_PLUGIN,
)
# 处理知识库配置
plugins_config = self.config.get("plugins", {})
for config_name, config_value in plugins_config.items():
# 检查是否是知识库配置
real_plugin_name = self._parse_knowledge_base_config(config_name)
if real_plugin_name:
# 获取真实的插件函数
func_item = all_function_registry.get(real_plugin_name)
if func_item and isinstance(config_value, dict):
# 从配置中获取自定义的 name 和 description
custom_name = config_value.get("name", "")
custom_description = config_value.get("description", "")
# 创建动态的工具名称(使用配置名称去掉前缀部分作为工具名)
tool_name = config_name[len("xzKnowledgeBase_"):]
# 复制原始函数描述并修改
custom_func_desc = func_item.description.copy()
if "function" in custom_func_desc:
custom_func_desc["function"] = custom_func_desc["function"].copy()
custom_func_desc["function"]["name"] = tool_name
custom_func_desc["function"]["description"] = custom_description
# 注册工具
tools[tool_name] = ToolDefinition(
name=tool_name,
description=custom_func_desc,
tool_type=ToolType.SERVER_PLUGIN,
)
# 保存映射关系
self._knowledge_base_mapping[tool_name] = real_plugin_name
return tools
def has_tool(self, tool_name: str) -> bool:
"""检查是否有指定的服务端插件工具"""
# 检查是否是知识库工具
if tool_name in self._knowledge_base_mapping:
return True
# 检查是否是普通工具
return tool_name in all_function_registry
@@ -0,0 +1,33 @@
from plugins_func.register import register_function, ToolType, ActionResponse, Action
# 定义基础的函数描述模板
SEARCH_FROM_RAGFLOW_FUNCTION_DESC = {
"type": "function",
"function": {
"name": "search_from_ragflow",
"description": "从知识库中查询信息",
"parameters": {
"type": "object",
"properties": {"query": {"type": "string", "description": "查询的关键词"}},
"required": ["query"],
},
},
}
@register_function(
"search_from_ragflow", SEARCH_FROM_RAGFLOW_FUNCTION_DESC, ToolType.WAIT
)
def search_from_ragflow(query=None):
"""
用于从ragflow知识库中查询信息
"""
# TODO 从ragflow知识库中查询信息
if query and "医生" in query:
response_text = "医院有张山、里斯、王五3名全科医生,其中王五医生是主要擅长眼科"
elif query and "科室" in query:
response_text = "医院眼科、麻醉科"
else:
response_text = "暂无相关信息"
return ActionResponse(Action.REQLLM, response_text, None)