3121d1384d
Interview/chat prompt layers, reply planner, style profiles, memory injection, interview meta store, and related tests. Work not finished. Made-with: Cursor
64 lines
2.4 KiB
Python
64 lines
2.4 KiB
Python
"""Bundled parameters for chat system prompts (InterviewAgent)."""
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import Dict, List, Optional
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from app.agents.chat.interview_turn_plan import InterviewTurnPlan
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from app.agents.state_schema import KnownFact, PersonaThread
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@dataclass
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class ChatPromptContext:
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"""访谈轮次构建 `get_guided_conversation_prompt` 所需的字段集合。"""
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current_stage: str
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empty_slots: List[str]
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filled_slots: Dict[str, str]
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all_stages_coverage: Optional[Dict[str, Dict]] = None
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detected_user_stage: str = ""
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user_profile_context: str = ""
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persona: str = "default"
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memory_evidence_text: str = ""
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background_voice: str = "default"
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occupation: str = ""
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profile_birth_year: int | None = None
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profile_era_place: str = ""
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known_facts: List[KnownFact] | None = None
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persona_threads: List[PersonaThread] | None = None
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recent_questions: List[str] | None = None
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turn_plan: InterviewTurnPlan | None = None
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def guided_system_prompt(self) -> str:
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"""用户原话仅以对话历史 + HumanMessage 注入模型。
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本轮模式硬指令统一由 `InterviewTurnPlan.render_system_directive()` 产出，
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主 prompt 不得重复立法（见 interview_turn_plan 模块 docstring）。
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"""
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from app.agents.chat.prompts_conversation import get_guided_conversation_prompt
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directive = (
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self.turn_plan.render_system_directive()
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if self.turn_plan is not None
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else ""
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)
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return get_guided_conversation_prompt(
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current_stage=self.current_stage,
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empty_slots=self.empty_slots,
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filled_slots=self.filled_slots,
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all_stages_coverage=self.all_stages_coverage,
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detected_user_stage=self.detected_user_stage,
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user_profile_context=self.user_profile_context,
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persona=self.persona,
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memory_evidence_text=self.memory_evidence_text,
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background_voice=self.background_voice,
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occupation=self.occupation,
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profile_birth_year=self.profile_birth_year,
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profile_era_place=self.profile_era_place,
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known_facts=self.known_facts or [],
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persona_threads=self.persona_threads or [],
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recent_questions=self.recent_questions or [],
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turn_directive_block=directive,
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)
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