(用户摘要) (用户兴趣分布) (记忆洞察) (反思)优化中翻译英,参数放置Headers

api/app/controllers/memory_agent_controller.py

@@ -18,7 +18,7 @@ from app.services import task_service, workspace_service
 from app.services.memory_agent_service import MemoryAgentService
 from app.services.model_service import ModelConfigService
 from dotenv import load_dotenv
-from fastapi import APIRouter, Depends, File, Form, Query, UploadFile
+from fastapi import APIRouter, Depends, File, Form, Query, UploadFile,Header
 from sqlalchemy.orm import Session
 from starlette.responses import StreamingResponse
 
@@ -652,7 +652,7 @@ async def get_knowledge_type_stats_api(
 @router.get("/analytics/hot_memory_tags/by_user", response_model=ApiResponse)
 async def get_hot_memory_tags_by_user_api(
     end_user_id: Optional[str] = Query(None, description="用户ID（可选）"),
-    language_type: Optional[str] ="zh",
+    language_type: str = Header(default="zh", alias="X-Language-Type"),
     limit: int = Query(20, description="返回标签数量限制"),
     current_user: User = Depends(get_current_user),
     db: Session=Depends(get_db),

api/app/controllers/memory_reflection_controller.py

@@ -20,7 +20,7 @@ from app.services.memory_reflection_service import (
 )
 from app.services.model_service import ModelConfigService
 from dotenv import load_dotenv
-from fastapi import APIRouter, Depends, HTTPException, status
+from fastapi import APIRouter, Depends, HTTPException, status,Header
 from sqlalchemy import text
 from sqlalchemy.orm import Session
 
@@ -192,7 +192,7 @@ async def start_reflection_configs(
 @router.get("/reflection/run")
 async def reflection_run(
     config_id: int,
-    language_type: str = "zh",
+    language_type: str = Header(default="zh", alias="X-Language-Type"),
     current_user: User = Depends(get_current_user),
     db: Session = Depends(get_db),
 ) -> dict:

api/app/controllers/memory_short_term_controller.py

@@ -1,4 +1,4 @@
-from fastapi import APIRouter, Depends, HTTPException, status
+from fastapi import APIRouter, Depends, HTTPException, status,Header
 from app.core.logging_config import get_api_logger
 from app.core.response_utils import success
 from app.db import get_db
@@ -20,7 +20,7 @@ router = APIRouter(
 @router.get("/short_term")
 async def short_term_configs(
         end_user_id: str,
-        language_type:Optional[str] = "zh",
+        language_type:str = Header(default="zh", alias="X-Language-Type"),
         current_user: User = Depends(get_current_user),
         db: Session = Depends(get_db),
 ):

api/app/controllers/user_memory_controllers.py

@@ -5,7 +5,7 @@
 from typing import Optional
 import datetime
 from sqlalchemy.orm import Session
-from fastapi import APIRouter, Depends
+from fastapi import APIRouter, Depends,Header
 
 from app.db import get_db
 from app.core.logging_config import get_api_logger
@@ -45,7 +45,7 @@ router = APIRouter(
 @router.get("/analytics/memory_insight/report", response_model=ApiResponse)
 async def get_memory_insight_report_api(
     end_user_id: str,
-    language_type: str = "zh",
+    language_type: str = Header(default="zh", alias="X-Language-Type"),
     current_user: User = Depends(get_current_user),
     db: Session = Depends(get_db),
 ) -> dict:
@@ -82,7 +82,7 @@ async def get_memory_insight_report_api(
 @router.get("/analytics/user_summary", response_model=ApiResponse)
 async def get_user_summary_api(
     end_user_id: str,
-    language_type: str="zh",
+    language_type: str = Header(default="zh", alias="X-Language-Type"),
     current_user: User = Depends(get_current_user),
     db: Session = Depends(get_db),
 ) -> dict:
@@ -385,7 +385,7 @@ async def update_end_user_profile(
             return fail(BizCode.INTERNAL_ERROR, "用户信息更新失败", error_msg)
 
 @router.get("/memory_space/timeline_memories", response_model=ApiResponse)
-async def memory_space_timeline_of_shared_memories(id: str, label: str,language_type: str="zh",
+async def memory_space_timeline_of_shared_memories(id: str, label: str,language_type: str = Header(default="zh", alias="X-Language-Type"),
                                       current_user: User = Depends(get_current_user),
                                       db: Session = Depends(get_db),
                                       ):

api/app/schemas/emotion_schema.py

@@ -3,7 +3,7 @@
 from typing import Optional
 from pydantic import BaseModel, Field
 
-
+from fastapi import Header
 class EmotionTagsRequest(BaseModel):
     """获取情绪标签统计请求"""
     group_id: str = Field(..., description="组ID")
@@ -11,7 +11,7 @@ class EmotionTagsRequest(BaseModel):
     start_date: Optional[str] = Field(None, description="开始日期（ISO格式，如：2024-01-01）")
     end_date: Optional[str] = Field(None, description="结束日期（ISO格式，如：2024-12-31）")
     limit: int = Field(10, ge=1, le=100, description="返回数量限制")
-    language_type: Optional[str] = Field("zh", description="语言类型（zh/en）")
+    language_type: str = Header(default="zh", alias="X-Language-Type")
 
 
 class EmotionWordcloudRequest(BaseModel):
@@ -19,24 +19,25 @@ class EmotionWordcloudRequest(BaseModel):
     group_id: str = Field(..., description="组ID")
     emotion_type: Optional[str] = Field(None, description="情绪类型过滤（joy/sadness/anger/fear/surprise/neutral）")
     limit: int = Field(50, ge=1, le=200, description="返回词语数量")
-    language_type: Optional[str] = Field("zh", description="语言类型（zh/en）")
+    language_type: str = Header(default="zh", alias="X-Language-Type")
 
 
 class EmotionHealthRequest(BaseModel):
     """获取情绪健康指数请求"""
     group_id: str = Field(..., description="组ID")
     time_range: str = Field("30d", description="时间范围（7d/30d/90d）")
-    language_type: Optional[str] = Field("zh", description="语言类型（zh/en）")
+    language_type: str = Header(default="zh", alias="X-Language-Type")
+
 
 
 class EmotionSuggestionsRequest(BaseModel):
     """获取个性化情绪建议请求"""
     group_id: str = Field(..., description="组ID")
     config_id: Optional[int] = Field(None, description="配置ID（用于指定LLM模型）")
-    language_type: Optional[str] = Field("zh", description="语言类型（zh/en）")
+    language_type: str = Header(default="zh", alias="X-Language-Type")
 
 
 class EmotionGenerateSuggestionsRequest(BaseModel):
     """生成个性化情绪建议请求"""
     end_user_id: str = Field(..., description="终端用户ID")
-    language_type: Optional[str] = Field("zh", description="语言类型（zh/en）")
+    language_type: str = Header(default="zh", alias="X-Language-Type")