feat: Add base project structure with API and web components

api/app/services/agent_config_converter.py

@@ -0,0 +1,116 @@
+"""
+Agent 配置格式转换器
+用于将 Pydantic 模型转换为数据库存储格式
+"""
+from typing import Dict, Any, Optional
+from app.schemas.app_schema import (
+    KnowledgeRetrievalConfig,
+    MemoryConfig,
+    VariableDefinition,
+    ToolConfig,
+    AgentConfigCreate,
+    AgentConfigUpdate,
+)
+
+
+class AgentConfigConverter:
+    """Agent 配置格式转换器"""
+    
+    @staticmethod
+    def to_storage_format(config: AgentConfigCreate | AgentConfigUpdate) -> Dict[str, Any]:
+        """
+        将配置对象转换为数据库存储格式
+        
+        Args:
+            config: AgentConfigCreate 或 AgentConfigUpdate 对象
+            
+        Returns:
+            包含数据库字段的字典
+        """
+        result = {}
+        
+        # 1. 模型参数配置
+        if hasattr(config, 'model_parameters') and config.model_parameters:
+            result["model_parameters"] = config.model_parameters.model_dump()
+        
+        # 2. 知识库检索配置
+        if config.knowledge_retrieval:
+            result["knowledge_retrieval"] = config.knowledge_retrieval.model_dump()
+        
+        # 3. 记忆配置
+        if hasattr(config, 'memory') and config.memory:
+            result["memory"] = config.memory.model_dump()
+        
+        # 4. 变量配置
+        if hasattr(config, 'variables') and config.variables:
+            result["variables"] = [var.model_dump() for var in config.variables]
+        
+        # 5. 工具配置
+        if hasattr(config, 'tools') and config.tools:
+            result["tools"] = {
+                name: tool.model_dump() 
+                for name, tool in config.tools.items()
+            }
+        
+        return result
+    
+    @staticmethod
+    def from_storage_format(
+        model_parameters: Optional[Dict[str, Any]],
+        knowledge_retrieval: Optional[Dict[str, Any]],
+        memory: Optional[Dict[str, Any]],
+        variables: Optional[list],
+        tools: Optional[Dict[str, Any]],
+    ) -> Dict[str, Any]:
+        """
+        将数据库存储格式转换为 Pydantic 对象
+        
+        Args:
+            model_parameters: 模型参数配置
+            knowledge_retrieval: 知识库检索配置
+            memory: 记忆配置
+            variables: 变量配置
+            tools: 工具配置
+            
+        Returns:
+            包含 Pydantic 对象的字典
+        """
+        result = {
+            "model_parameters": None,
+            "knowledge_retrieval": None,
+            "memory": MemoryConfig(enabled=True),
+            "variables": [],
+            "tools": {},
+        }
+        
+        # 1. 解析模型参数配置
+        if model_parameters:
+            from app.schemas.app_schema import ModelParameters
+            result["model_parameters"] = ModelParameters(**model_parameters)
+        
+        # 2. 解析知识库检索配置
+        if knowledge_retrieval:
+            result["knowledge_retrieval"] = KnowledgeRetrievalConfig(**knowledge_retrieval)
+        else:
+            # 提供默认的知识库配置（空列表）
+            result["knowledge_retrieval"] = KnowledgeRetrievalConfig(
+                knowledge_bases=[],
+                merge_strategy="weighted"
+            )
+        
+        # 3. 解析记忆配置
+        if memory:
+            result["memory"] = MemoryConfig(**memory)
+        
+        # 4. 解析变量配置
+        if variables:
+            result["variables"] = [VariableDefinition(**var) for var in variables]
+        
+        # 5. 解析工具配置
+        if tools:
+            result["tools"] = {
+                name: ToolConfig(**tool_data)
+                for name, tool_data in tools.items()
+            }
+        
+        return result