(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/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")