(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/emotion_controller.py

@@ -24,7 +24,7 @@ from app.schemas.emotion_schema import (
 )
 from app.schemas.response_schema import ApiResponse
 from app.services.emotion_analytics_service import EmotionAnalyticsService
-from fastapi import APIRouter, Depends, HTTPException, status
+from fastapi import APIRouter, Depends, HTTPException, status,Header
 from sqlalchemy.orm import Session
 
 # 获取API专用日志器
@@ -45,6 +45,7 @@ emotion_service = EmotionAnalyticsService()
 @router.post("/tags", response_model=ApiResponse)
 async def get_emotion_tags(
     request: EmotionTagsRequest,
+    language_type: str = Header(default="zh", alias="X-Language-Type"),
     current_user: User = Depends(get_current_user),
 ):
 
@@ -96,6 +97,7 @@ async def get_emotion_tags(
 @router.post("/wordcloud", response_model=ApiResponse)
 async def get_emotion_wordcloud(
     request: EmotionWordcloudRequest,
+    language_type: str = Header(default="zh", alias="X-Language-Type"),
     current_user: User = Depends(get_current_user),
 ):
 
@@ -142,6 +144,7 @@ async def get_emotion_wordcloud(
 @router.post("/health", response_model=ApiResponse)
 async def get_emotion_health(
     request: EmotionHealthRequest,
+    language_type: str = Header(default="zh", alias="X-Language-Type"),
     current_user: User = Depends(get_current_user),
 ):
 
@@ -196,6 +199,7 @@ async def get_emotion_health(
 @router.post("/suggestions", response_model=ApiResponse)
 async def get_emotion_suggestions(
     request: EmotionSuggestionsRequest,
+    language_type: str = Header(default="zh", alias="X-Language-Type"),
     db: Session = Depends(get_db),
     current_user: User = Depends(get_current_user),
 ):
@@ -261,6 +265,7 @@ async def get_emotion_suggestions(
 @router.post("/generate_suggestions", response_model=ApiResponse)
 async def generate_emotion_suggestions(
     request: EmotionGenerateSuggestionsRequest,
+    language_type: str = Header(default="zh", alias="X-Language-Type"),
     db: Session = Depends(get_db),
     current_user: User = Depends(get_current_user),
 ):

api/app/schemas/emotion_schema.py

@@ -3,7 +3,6 @@
 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 +10,6 @@ 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: str = Header(default="zh", alias="X-Language-Type")
 
 
 class EmotionWordcloudRequest(BaseModel):
@@ -19,14 +17,13 @@ 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: 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: str = Header(default="zh", alias="X-Language-Type")
+
 
 
 
@@ -34,10 +31,8 @@ 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: 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: str = Header(default="zh", alias="X-Language-Type")