75 lines
2.5 KiB
Python
75 lines
2.5 KiB
Python
"""
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情景记忆的请求和响应模型
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"""
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from abc import ABC
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from pydantic import BaseModel, Field
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from typing import Optional
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type_mapping = {
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"Person": "人物实体节点",
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"Organization": "组织实体节点",
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"ORG": "组织实体节点",
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"Location": "地点实体节点",
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"LOC": "地点实体节点",
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"Event": "事件实体节点",
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"Concept": "概念实体节点",
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"Time": "时间实体节点",
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"Position": "职位实体节点",
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"WorkRole": "职业实体节点",
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"System": "系统实体节点",
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"Policy": "政策实体节点",
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"HistoricalPeriod": "历史时期实体节点",
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"HistoricalState": "历史国家实体节点",
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"HistoricalEvent": "历史事件实体节点",
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"EconomicFactor": "经济因素实体节点",
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"Condition": "条件实体节点",
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"Numeric": "数值实体节点"
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}
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class EmotionType(ABC):
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JOY_TYPE = "joy"
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SURPRISE_TYPE = "surprise"
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SANDROWNESS_TYPE = "sadness"
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FEAR_TYPE = "fear"
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ANGET_TYPE="anger"
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NEUTRAL_TYPE="neutral"
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EMOTION_MAPPING={
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"joy":"愉快",
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"surprise":"惊喜",
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"sadness":"悲伤",
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"fear":"恐惧",
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"anger":"生气",
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"neutral":"中性"
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}
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class EmotionSubject(ABC):
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SUBJECT_MAPPING={
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"self":"自己",
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"other":"别人",
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"object":"事物对象"
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}
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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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)
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episodic_type: str = Field(
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default="all",
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description="情景类型筛选，可选值：all, conversation, project_work, learning, decision, important_event"
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)
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title_keyword: Optional[str] = Field(
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default=None,
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description="标题关键词，用于模糊搜索（可选）"
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)
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class EpisodicMemoryDetailsRequest(BaseModel):
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"""情景记忆详情查询请求"""
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end_user_id: str = Field(..., description="终端用户ID")
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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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