"""Bundled parameters for chat system prompts (InterviewAgent)."""

from __future__ import annotations

from dataclasses import dataclass
from typing import Dict, List, Optional

from app.agents.state_schema import KnownFact, PersonaThread


@dataclass
class ChatPromptContext:
    """访谈轮次构建 `get_guided_conversation_prompt` 所需的字段集合。"""

    current_stage: str
    empty_slots: List[str]
    filled_slots: Dict[str, str]
    all_stages_coverage: Optional[Dict[str, Dict]] = None
    detected_user_stage: str = ""
    user_profile_context: str = ""
    persona: str = "default"
    memory_evidence_text: str = ""
    background_voice: str = "default"
    occupation: str = ""
    profile_birth_year: int | None = None
    profile_era_place: str = ""
    known_facts: List[KnownFact] | None = None
    persona_threads: List[PersonaThread] | None = None
    recent_questions: List[str] | None = None

    def guided_system_prompt(self) -> str:
        """用户原话仅以对话历史 + HumanMessage 注入模型。"""
        from app.agents.chat.prompts_conversation import get_guided_conversation_prompt

        return get_guided_conversation_prompt(
            current_stage=self.current_stage,
            empty_slots=self.empty_slots,
            filled_slots=self.filled_slots,
            all_stages_coverage=self.all_stages_coverage,
            detected_user_stage=self.detected_user_stage,
            user_profile_context=self.user_profile_context,
            persona=self.persona,
            memory_evidence_text=self.memory_evidence_text,
            background_voice=self.background_voice,
            occupation=self.occupation,
            profile_birth_year=self.profile_birth_year,
            profile_era_place=self.profile_era_place,
            known_facts=self.known_facts or [],
            persona_threads=self.persona_threads or [],
            recent_questions=self.recent_questions or [],
        )