新增中翻英功能(记忆时间线)(用户摘要)(兴趣分布接口)(查询核心档案)(记忆洞察)-接口添加翻译字段
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@@ -20,6 +20,7 @@ router = APIRouter(
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@router.get("/short_term")
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async def short_term_configs(
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end_user_id: str,
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language_type:Optional[str] = "zh",
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current_user: User = Depends(get_current_user),
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db: Session = Depends(get_db),
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):
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@@ -292,7 +292,6 @@ async def get_graph_data_api(
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@router.get("/read_end_user/profile", response_model=ApiResponse)
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async def get_end_user_profile(
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end_user_id: str,
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language_type: str = "zh",
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current_user: User = Depends(get_current_user),
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db: Session = Depends(get_db),
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) -> dict:
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@@ -321,20 +320,12 @@ async def get_end_user_profile(
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if not end_user:
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api_logger.warning(f"终端用户不存在: end_user_id={end_user_id}")
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return fail(BizCode.INVALID_PARAMETER, "终端用户不存在", f"end_user_id={end_user_id}")
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other_name=end_user.other_name
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position=end_user.position
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department=end_user.department
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if language_type!="zh":
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other_name=await Translation_English(model_id,other_name)
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position = await Translation_English(model_id, position)
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department = await Translation_English(model_id, department)
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# 构建响应数据
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profile_data = EndUserProfileResponse(
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id=end_user.id,
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other_name=other_name,
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position=position,
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department=department,
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other_name=end_user.other_name,
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position=end_user.position,
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department=end_user.department,
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contact=end_user.contact,
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phone=end_user.phone,
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hire_date=end_user.hire_date,
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@@ -11,6 +11,7 @@ class EmotionTagsRequest(BaseModel):
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start_date: Optional[str] = Field(None, description="开始日期(ISO格式,如:2024-01-01)")
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end_date: Optional[str] = Field(None, description="结束日期(ISO格式,如:2024-12-31)")
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limit: int = Field(10, ge=1, le=100, description="返回数量限制")
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language_type: Optional[str] = Field("zh", description="语言类型(zh/en)")
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class EmotionWordcloudRequest(BaseModel):
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@@ -18,20 +19,24 @@ class EmotionWordcloudRequest(BaseModel):
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group_id: str = Field(..., description="组ID")
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emotion_type: Optional[str] = Field(None, description="情绪类型过滤(joy/sadness/anger/fear/surprise/neutral)")
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limit: int = Field(50, ge=1, le=200, description="返回词语数量")
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language_type: Optional[str] = Field("zh", description="语言类型(zh/en)")
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class EmotionHealthRequest(BaseModel):
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"""获取情绪健康指数请求"""
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group_id: str = Field(..., description="组ID")
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time_range: str = Field("30d", description="时间范围(7d/30d/90d)")
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language_type: Optional[str] = Field("zh", description="语言类型(zh/en)")
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class EmotionSuggestionsRequest(BaseModel):
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"""获取个性化情绪建议请求"""
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group_id: str = Field(..., description="组ID")
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config_id: Optional[int] = Field(None, description="配置ID(用于指定LLM模型)")
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language_type: Optional[str] = Field("zh", description="语言类型(zh/en)")
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class EmotionGenerateSuggestionsRequest(BaseModel):
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"""生成个性化情绪建议请求"""
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end_user_id: str = Field(..., description="终端用户ID")
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language_type: Optional[str] = Field("zh", description="语言类型(zh/en)")
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@@ -51,6 +51,7 @@ class EpisodicMemoryOverviewRequest(BaseModel):
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"""情景记忆总览查询请求"""
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end_user_id: str = Field(..., description="终端用户ID")
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language_type: Optional[str] = Field("zh", description="语言类型(zh/en)")
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time_range: str = Field(
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default="all",
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description="时间范围筛选,可选值:all, today, this_week, this_month"
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@@ -70,3 +71,4 @@ class EpisodicMemoryDetailsRequest(BaseModel):
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end_user_id: str = Field(..., description="终端用户ID")
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summary_id: str = Field(..., description="情景记忆摘要ID")
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language_type: Optional[str] = Field("zh", description="语言类型(zh/en)")
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@@ -1,15 +1,19 @@
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"""
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显性记忆的请求和响应模型
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"""
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from typing import Optional
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from pydantic import BaseModel, Field
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class ExplicitMemoryOverviewRequest(BaseModel):
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"""显性记忆总览查询请求"""
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end_user_id: str = Field(..., description="终端用户ID")
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language_type: Optional[str] = Field("zh", description="语言类型(zh/en)")
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class ExplicitMemoryDetailsRequest(BaseModel):
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"""显性记忆详情查询请求"""
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end_user_id: str = Field(..., description="终端用户ID")
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memory_id: str = Field(..., description="记忆ID(情景记忆或语义记忆的ID)")
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language_type: Optional[str] = Field("zh", description="语言类型(zh/en)")
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