82 lines
2.2 KiB
Python
82 lines
2.2 KiB
Python
"""
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共享状态 Schema（对话 Agent 与后台 Agent 共用）
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"""
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from __future__ import annotations
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from typing import Dict, List, Optional
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from pydantic import BaseModel, Field
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class SlotData(BaseModel):
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"""Slot 数据结构"""
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snippet: Optional[str] = None
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segment_ids: List[str] = Field(default_factory=list)
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class MemoirStateSchema(BaseModel):
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"""回忆录状态"""
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stage_order: List[str]
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current_stage: str
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covered_stages: List[str]
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slots: Dict[str, Dict[str, SlotData]]
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def empty_slots_for_current_stage(self) -> List[str]:
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stage_slots = self.slots.get(self.current_stage, {})
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empty_keys: List[str] = []
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for key, value in stage_slots.items():
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if not value.snippet:
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empty_keys.append(key)
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return empty_keys
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DEFAULT_STAGE_ORDER = ["childhood", "education", "career", "family", "belief"]
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def default_slots() -> Dict[str, Dict[str, SlotData]]:
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return {
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"childhood": {
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"place": SlotData(),
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"people": SlotData(),
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"daily_life": SlotData(),
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"emotion": SlotData(),
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"turning_event": SlotData(),
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},
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"education": {
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"school": SlotData(),
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"city": SlotData(),
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"motivation": SlotData(),
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"challenge": SlotData(),
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"change": SlotData(),
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},
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"career": {
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"job": SlotData(),
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"environment": SlotData(),
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"decision": SlotData(),
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"pressure": SlotData(),
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"growth": SlotData(),
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},
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"family": {
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"relationship": SlotData(),
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"conflict": SlotData(),
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"support": SlotData(),
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"responsibility": SlotData(),
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"change": SlotData(),
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},
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"belief": {
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"value": SlotData(),
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"regret": SlotData(),
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"pride": SlotData(),
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"lesson": SlotData(),
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},
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}
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def default_state() -> MemoirStateSchema:
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return MemoirStateSchema(
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stage_order=DEFAULT_STAGE_ORDER,
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current_stage=DEFAULT_STAGE_ORDER[0],
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covered_stages=[],
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slots=default_slots(),
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)
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