feat(memory-api): implement memory read/write API service endpoints

- Add MemoryAPIService with read_memory and write_memory methods for managing user memories
- Create memory_api_schema.py with request/response schemas for read and write operations
- Implement write_memory_api_service endpoint for storing memory content with configurable storage backends
- Implement read_memory_api_service endpoint for querying memories with context-aware responses
- Add memory-specific error codes (MEMORY_WRITE_FAILED, MEMORY_READ_FAILED, MEMORY_CONFIG_NOT_FOUND) to error_codes.py

api/app/controllers/service/memory_api_controller.py

@@ -1,14 +1,19 @@
 """Memory 服务接口 - 基于 API Key 认证"""
-import uuid
 
-from fastapi import APIRouter, Depends, Request, Body
-from sqlalchemy.orm import Session
-
-from app.db import get_db
-from app.core.response_utils import success
-from app.core.logging_config import get_business_logger
 from app.core.api_key_auth import require_api_key
+from app.core.logging_config import get_business_logger
+from app.core.response_utils import success
+from app.db import get_db
 from app.schemas.api_key_schema import ApiKeyAuth
+from app.schemas.memory_api_schema import (
+    MemoryReadRequest,
+    MemoryReadResponse,
+    MemoryWriteRequest,
+    MemoryWriteResponse,
+)
+from app.services.memory_api_service import MemoryAPIService
+from fastapi import APIRouter, Body, Depends, Request
+from sqlalchemy.orm import Session
 
 router = APIRouter(prefix="/memory", tags=["V1 - Memory API"])
 logger = get_business_logger()
@@ -20,27 +25,63 @@ async def get_memory_info():
     return success(data={}, msg="Memory API - Coming Soon")
 
 
-# /v1/memory/chat
-@router.post("/chat")
+@router.post("/write_api_service")
 @require_api_key(scopes=["memory"])
-async def chat_with_agent_demo(
+async def write_memory_api_service(
     request: Request,
     api_key_auth: ApiKeyAuth = None,
     db: Session = Depends(get_db),
-    message: str = Body(..., description="聊天消息内容"),
+    payload: MemoryWriteRequest = Body(..., embed=False),
+
 ):
     """
-    Agent 聊天接口demo
-
-    scopes: 所需的权限范围列表["app", "rag", "memory"]
-
-    Args:
-        message: 请求参数
-        request: 声明请求
-        api_key_auth: 包含验证后的API Key 信息
-        db: db_session
+    Write memory to storage.
+    
+    Stores memory content for the specified end user using the Memory API Service.
     """
-    logger.info(f"API Key Auth: {api_key_auth}")
-    logger.info(f"Resource ID: {api_key_auth.resource_id}")
-    logger.info(f"Message: {message}")
-    return success(data={"received": True}, msg="消息已接收")
+    logger.info(f"Memory write request - end_user_id: {payload.end_user_id}")
+    
+    memory_api_service = MemoryAPIService(db)
+    
+    result = await memory_api_service.write_memory(
+        workspace_id=api_key_auth.workspace_id,
+        end_user_id=payload.end_user_id,
+        message=payload.message,
+        config_id=payload.config_id,
+        storage_type=payload.storage_type,
+        user_rag_memory_id=payload.user_rag_memory_id,
+    )
+    
+    logger.info(f"Memory write successful for end_user: {payload.end_user_id}")
+    return success(data=MemoryWriteResponse(**result).model_dump(), msg="Memory written successfully")
+
+
+@router.post("/read_api_service")
+@require_api_key(scopes=["memory"])
+async def read_memory_api_service(
+    request: Request,
+    api_key_auth: ApiKeyAuth = None,
+    db: Session = Depends(get_db),
+    payload: MemoryReadRequest = Body(..., embed=False),
+):
+    """
+    Read memory from storage.
+    
+    Queries and retrieves memories for the specified end user with context-aware responses.
+    """
+    logger.info(f"Memory read request - end_user_id: {payload.end_user_id}")
+    
+    memory_api_service = MemoryAPIService(db)
+    
+    result = await memory_api_service.read_memory(
+        workspace_id=api_key_auth.workspace_id,
+        end_user_id=payload.end_user_id,
+        message=payload.message,
+        search_switch=payload.search_switch,
+        config_id=payload.config_id,
+        storage_type=payload.storage_type,
+        user_rag_memory_id=payload.user_rag_memory_id,
+    )
+    
+    logger.info(f"Memory read successful for end_user: {payload.end_user_id}")
+    return success(data=MemoryReadResponse(**result).model_dump(), msg="Memory read successfully")

api/app/core/error_codes.py

@@ -78,6 +78,11 @@ class BizCode(IntEnum):
     EMBEDDING_FAILED = 9002
     SEARCH_FAILED = 9003
 
+    # Memory API（95xx）
+    MEMORY_WRITE_FAILED = 9501
+    MEMORY_READ_FAILED = 9502
+    MEMORY_CONFIG_NOT_FOUND = 9503
+
     # 系统（100xx）
     INTERNAL_ERROR = 10001
     DB_ERROR = 10002
@@ -148,6 +153,12 @@ HTTP_MAPPING = {
     BizCode.INDEX_BUILD_FAILED: 500,
     BizCode.EMBEDDING_FAILED: 500,
     BizCode.SEARCH_FAILED: 500,
+    
+    # Memory API 错误码映射
+    BizCode.MEMORY_WRITE_FAILED: 500,
+    BizCode.MEMORY_READ_FAILED: 500,
+    BizCode.MEMORY_CONFIG_NOT_FOUND: 400,
+    
     BizCode.INTERNAL_ERROR: 500,
     BizCode.DB_ERROR: 500,
     BizCode.SERVICE_UNAVAILABLE: 503,

api/app/schemas/memory_api_schema.py

@@ -0,0 +1,134 @@
+"""Memory API Service request/response schemas.
+
+This module defines Pydantic schemas for the Memory API Service endpoints,
+including request validation and response structures for read and write operations.
+"""
+
+from typing import Any, Dict, List, Optional
+
+from pydantic import BaseModel, Field, field_validator
+
+
+class MemoryWriteRequest(BaseModel):
+    """Request schema for memory write operation.
+    
+    Attributes:
+        end_user_id: End user identifier (required)
+        message: Message content to store (required)
+        config_id: Optional memory configuration ID
+        storage_type: Storage backend type (neo4j or rag)
+        user_rag_memory_id: Optional RAG memory ID for rag storage type
+    """
+    end_user_id: str = Field(..., description="End user ID (required)")
+    message: str = Field(..., description="Message content to store")
+    config_id: Optional[str] = Field(None, description="Memory configuration ID")
+    storage_type: str = Field("neo4j", description="Storage type: neo4j or rag")
+    user_rag_memory_id: Optional[str] = Field(None, description="RAG memory ID")
+
+    @field_validator("end_user_id")
+    @classmethod
+    def validate_end_user_id(cls, v: str) -> str:
+        """Validate that end_user_id is not empty."""
+        if not v or not v.strip():
+            raise ValueError("end_user_id is required and cannot be empty")
+        return v.strip()
+
+    @field_validator("message")
+    @classmethod
+    def validate_message(cls, v: str) -> str:
+        """Validate that message is not empty."""
+        if not v or not v.strip():
+            raise ValueError("message is required and cannot be empty")
+        return v
+
+    @field_validator("storage_type")
+    @classmethod
+    def validate_storage_type(cls, v: str) -> str:
+        """Validate that storage_type is either neo4j or rag."""
+        valid_types = {"neo4j", "rag"}
+        if v.lower() not in valid_types:
+            raise ValueError(f"storage_type must be one of: {', '.join(valid_types)}")
+        return v.lower()
+
+
+class MemoryReadRequest(BaseModel):
+    """Request schema for memory read operation.
+    
+    Attributes:
+        end_user_id: End user identifier (required)
+        message: Query message (required)
+        search_switch: Search mode (0=verify, 1=direct, 2=context)
+        config_id: Optional memory configuration ID
+        storage_type: Storage backend type (neo4j or rag)
+        user_rag_memory_id: Optional RAG memory ID for rag storage type
+    """
+    end_user_id: str = Field(..., description="End user ID (required)")
+    message: str = Field(..., description="Query message")
+    search_switch: str = Field(
+        "0", 
+        description="Search mode: 0=verify, 1=direct, 2=context"
+    )
+    config_id: Optional[str] = Field(None, description="Memory configuration ID")
+    storage_type: str = Field("neo4j", description="Storage type: neo4j or rag")
+    user_rag_memory_id: Optional[str] = Field(None, description="RAG memory ID")
+
+    @field_validator("end_user_id")
+    @classmethod
+    def validate_end_user_id(cls, v: str) -> str:
+        """Validate that end_user_id is not empty."""
+        if not v or not v.strip():
+            raise ValueError("end_user_id is required and cannot be empty")
+        return v.strip()
+
+    @field_validator("message")
+    @classmethod
+    def validate_message(cls, v: str) -> str:
+        """Validate that message is not empty."""
+        if not v or not v.strip():
+            raise ValueError("message is required and cannot be empty")
+        return v
+
+    @field_validator("storage_type")
+    @classmethod
+    def validate_storage_type(cls, v: str) -> str:
+        """Validate that storage_type is either neo4j or rag."""
+        valid_types = {"neo4j", "rag"}
+        if v.lower() not in valid_types:
+            raise ValueError(f"storage_type must be one of: {', '.join(valid_types)}")
+        return v.lower()
+
+    @field_validator("search_switch")
+    @classmethod
+    def validate_search_switch(cls, v: str) -> str:
+        """Validate that search_switch is a valid mode."""
+        valid_modes = {"0", "1", "2"}
+        if v not in valid_modes:
+            raise ValueError(f"search_switch must be one of: {', '.join(valid_modes)}")
+        return v
+
+
+class MemoryWriteResponse(BaseModel):
+    """Response schema for memory write operation.
+    
+    Attributes:
+        status: Operation status (success or failed)
+        end_user_id: End user ID that was written to
+    """
+    status: str = Field(..., description="Operation status: success or failed")
+    end_user_id: str = Field(..., description="End user ID")
+
+
+class MemoryReadResponse(BaseModel):
+    """Response schema for memory read operation.
+    
+    Attributes:
+        answer: Generated answer from memory retrieval
+        intermediate_outputs: Intermediate retrieval outputs
+        end_user_id: End user ID that was queried
+    """
+    answer: str = Field(..., description="Generated answer")
+    intermediate_outputs: List[Dict[str, Any]] = Field(
+        default_factory=list, 
+        description="Intermediate retrieval outputs"
+    )
+    end_user_id: str = Field(..., description="End user ID")

api/app/services/memory_api_service.py

@@ -0,0 +1,245 @@
+"""
+Memory API Service
+
+Provides external access to memory read and write operations through API Key authentication.
+This service validates inputs and delegates to MemoryAgentService for core memory operations.
+"""
+
+import uuid
+from typing import Any, Dict, Optional
+
+from app.core.error_codes import BizCode
+from app.core.exceptions import BusinessException, ResourceNotFoundException
+from app.core.logging_config import get_logger
+from app.models.app_model import App
+from app.models.end_user_model import EndUser
+from app.schemas.memory_config_schema import ConfigurationError
+from app.services.memory_agent_service import MemoryAgentService
+from sqlalchemy.orm import Session
+
+logger = get_logger(__name__)
+
+
+class MemoryAPIService:
+    """Service for memory API operations with validation and delegation to MemoryAgentService.
+    
+    This service provides a thin layer that:
+    1. Validates end_user exists and belongs to the authorized workspace
+    2. Maps end_user_id to group_id for memory operations
+    3. Delegates to MemoryAgentService for actual memory read/write operations
+    """
+    
+    def __init__(self, db: Session):
+        """Initialize MemoryAPIService.
+        
+        Args:
+            db: SQLAlchemy database session
+        """
+        self.db = db
+    
+    def validate_end_user(
+        self, 
+        end_user_id: str, 
+        workspace_id: uuid.UUID
+    ) -> EndUser:
+        """Validate that end_user exists and belongs to the workspace.
+        
+        Args:
+            end_user_id: End user ID to validate
+            workspace_id: Workspace ID from API key authorization
+            
+        Returns:
+            EndUser object if valid
+            
+        Raises:
+            ResourceNotFoundException: If end_user not found
+            BusinessException: If end_user not in authorized workspace
+        """
+        logger.info(f"Validating end_user: {end_user_id} for workspace: {workspace_id}")
+        
+        # Query end_user by ID
+        try:
+            end_user_uuid = uuid.UUID(end_user_id)
+        except ValueError:
+            logger.warning(f"Invalid end_user_id format: {end_user_id}")
+            raise BusinessException(
+                message=f"Invalid end_user_id format: {end_user_id}",
+                code=BizCode.INVALID_PARAMETER
+            )
+        
+        end_user = self.db.query(EndUser).filter(EndUser.id == end_user_uuid).first()
+        
+        if not end_user:
+            logger.warning(f"End user not found: {end_user_id}")
+            raise ResourceNotFoundException(
+                resource_type="EndUser",
+                resource_id=end_user_id
+            )
+        
+        # Verify end_user belongs to the workspace via App relationship
+        app = self.db.query(App).filter(App.id == end_user.app_id).first()
+        
+        if not app:
+            logger.warning(f"App not found for end_user: {end_user_id}")
+            raise ResourceNotFoundException(
+                resource_type="App",
+                resource_id=str(end_user.app_id)
+            )
+        
+        if app.workspace_id != workspace_id:
+            logger.warning(
+                f"End user {end_user_id} belongs to workspace {app.workspace_id}, "
+                f"not authorized workspace {workspace_id}"
+            )
+            raise BusinessException(
+                message="End user does not belong to authorized workspace",
+                code=BizCode.FORBIDDEN
+            )
+        
+        logger.info(f"End user {end_user_id} validated successfully")
+        return end_user
+    
+    async def write_memory(
+        self,
+        workspace_id: uuid.UUID,
+        end_user_id: str,
+        message: str,
+        config_id: Optional[str] = None,
+        storage_type: str = "neo4j",
+        user_rag_memory_id: Optional[str] = None,
+    ) -> Dict[str, Any]:
+        """Write memory with validation.
+        
+        Validates end_user exists and belongs to workspace, then delegates
+        to MemoryAgentService.write_memory.
+        
+        Args:
+            workspace_id: Workspace ID for resource validation
+            end_user_id: End user identifier (used as group_id)
+            message: Message content to store
+            config_id: Optional memory configuration ID
+            storage_type: Storage backend (neo4j or rag)
+            user_rag_memory_id: Optional RAG memory ID
+            
+        Returns:
+            Dict with status and end_user_id
+            
+        Raises:
+            ResourceNotFoundException: If end_user not found
+            BusinessException: If end_user not in authorized workspace or write fails
+        """
+        logger.info(f"Writing memory for end_user: {end_user_id}, workspace: {workspace_id}")
+        
+        # Validate end_user exists and belongs to workspace
+        self.validate_end_user(end_user_id, workspace_id)
+        
+        # Use end_user_id as group_id for memory operations
+        group_id = end_user_id
+        
+        try:
+            # Delegate to MemoryAgentService
+            result = await MemoryAgentService().write_memory(
+                group_id=group_id,
+                message=message,
+                config_id=config_id,
+                db=self.db,
+                storage_type=storage_type,
+                user_rag_memory_id=user_rag_memory_id or ""
+            )
+            
+            logger.info(f"Memory write successful for end_user: {end_user_id}")
+            
+            return {
+                "status": "success" if result == "success" else result,
+                "end_user_id": end_user_id
+            }
+            
+        except ConfigurationError as e:
+            logger.error(f"Memory configuration error for end_user {end_user_id}: {e}")
+            raise BusinessException(
+                message=str(e),
+                code=BizCode.MEMORY_CONFIG_NOT_FOUND
+            )
+        except BusinessException:
+            raise
+        except Exception as e:
+            logger.error(f"Memory write failed for end_user {end_user_id}: {e}")
+            raise BusinessException(
+                message=f"Memory write failed: {str(e)}",
+                code=BizCode.MEMORY_WRITE_FAILED
+            )
+    
+    async def read_memory(
+        self,
+        workspace_id: uuid.UUID,
+        end_user_id: str,
+        message: str,
+        search_switch: str = "0",
+        config_id: Optional[str] = None,
+        storage_type: str = "neo4j",
+        user_rag_memory_id: Optional[str] = None,
+    ) -> Dict[str, Any]:
+        """Read memory with validation.
+        
+        Validates end_user exists and belongs to workspace, then delegates
+        to MemoryAgentService.read_memory.
+        
+        Args:
+            workspace_id: Workspace ID for resource validation
+            end_user_id: End user identifier (used as group_id)
+            message: Query message
+            search_switch: Search mode (0=deep search with verification, 1=deep search, 2=fast search)
+            config_id: Optional memory configuration ID
+            storage_type: Storage backend (neo4j or rag)
+            user_rag_memory_id: Optional RAG memory ID
+            
+        Returns:
+            Dict with answer, intermediate_outputs, and end_user_id
+            
+        Raises:
+            ResourceNotFoundException: If end_user not found
+            BusinessException: If end_user not in authorized workspace or read fails
+        """
+        logger.info(f"Reading memory for end_user: {end_user_id}, workspace: {workspace_id}")
+        
+        # Validate end_user exists and belongs to workspace
+        self.validate_end_user(end_user_id, workspace_id)
+        
+        # Use end_user_id as group_id for memory operations
+        group_id = end_user_id
+        
+        try:
+            # Delegate to MemoryAgentService
+            result = await MemoryAgentService().read_memory(
+                group_id=group_id,
+                message=message,
+                history=[],
+                search_switch=search_switch,
+                config_id=config_id,
+                db=self.db,
+                storage_type=storage_type,
+                user_rag_memory_id=user_rag_memory_id or ""
+            )
+            
+            logger.info(f"Memory read successful for end_user: {end_user_id}")
+            
+            return {
+                "answer": result.get("answer", ""),
+                "intermediate_outputs": result.get("intermediate_outputs", []),
+                "end_user_id": end_user_id
+            }
+            
+        except ConfigurationError as e:
+            logger.error(f"Memory configuration error for end_user {end_user_id}: {e}")
+            raise BusinessException(
+                message=str(e),
+                code=BizCode.MEMORY_CONFIG_NOT_FOUND
+            )
+        except BusinessException:
+            raise
+        except Exception as e:
+            logger.error(f"Memory read failed for end_user {end_user_id}: {e}")
+            raise BusinessException(
+                message=f"Memory read failed: {str(e)}",
+                code=BizCode.MEMORY_READ_FAILED
+            )