life-echo/api/app/agents/memoir/narrative_agent.py

"""
NarrativeAgent：生成创意标题和叙事改写。
叙事正文走 `get_narrative_json_prompt` / `get_narrative_merge_json_prompt`（传记作家式书面语 + 事实边界）。
"""

from __future__ import annotations

from typing import Any, Dict, Optional

from app.agents.stage_constants import CHAPTER_CATEGORIES
from app.agents.memoir.prompts import (
    get_creative_title_json_prompt,
    get_narrative_json_prompt,
    get_narrative_merge_json_prompt,
)
from app.agents.memoir.schemas import MemoirTitleOutput
from app.core.config import settings
from app.core.langchain_llm import invoke_json_object
from app.core.llm_call import llm_json_call
from app.core.logging import get_logger

logger = get_logger(__name__)


class NarrativeAgent:
    """生成章节标题和叙事正文"""

    def generate_title(
        self,
        stage: str,
        emotion: str,
        slots: Dict[str, str],
        user_profile: str = "",
        birth_year: Optional[int] = None,
        llm: Any = None,
    ) -> str:
        """生成创意标题。若无 LLM 则返回默认标题"""
        if not llm:
            return f"{CHAPTER_CATEGORIES.get(stage, stage)} 回忆"
        try:
            prompt = get_creative_title_json_prompt(
                stage=stage,
                emotion=emotion,
                slots=slots,
                user_profile=user_profile,
                birth_year=birth_year,
            )
            default_title = f"{CHAPTER_CATEGORIES.get(stage, stage)} 回忆"

            def _title_fallback() -> MemoirTitleOutput:
                return MemoirTitleOutput(title=default_title)

            out = llm_json_call(
                llm,
                prompt,
                MemoirTitleOutput,
                max_tokens=settings.memoir_title_max_tokens,
                agent="NarrativeAgent.generate_title",
                fallback_factory=_title_fallback,
            )
            title = (out.title or "").strip()
            if title:
                return title.strip('"')
            return default_title
        except Exception as e:
            logger.warning("NarrativeAgent 生成标题失败: {}", e)
            return f"{CHAPTER_CATEGORIES.get(stage, stage)} 回忆"

    def generate_narrative(
        self,
        stage: str,
        slots: Dict[str, str],
        new_content: str,
        existing_content: str = "",
        user_profile: str = "",
        birth_year: Optional[int] = None,
        llm: Any = None,
        background_voice: str = "default",
        occupation: str = "",
        *,
        fallback_plain_oral: str = "",
    ) -> str:
        """将新对话改写为叙述。若无 LLM 则直接拼接。

        若 `existing_content` 非空（append 路径），使用整篇合并提示，输出覆盖全篇的有序段落。

        `fallback_plain_oral`：仅含本段口述（勿传含 evidence 的组装串）。LLM 异常时只回退到
        口述/旧正文拼接，避免把「本段用户口述+摘录」整包写入 story。
        """
        oral_fb = (fallback_plain_oral or "").strip()
        if not llm:
            if existing_content:
                if oral_fb:
                    return f"{existing_content}\n\n{oral_fb}"
                return f"{existing_content}\n\n{new_content}"
            return oral_fb or new_content
        try:
            merge_mode = bool((existing_content or "").strip())
            if merge_mode:
                prompt = get_narrative_merge_json_prompt(
                    stage=stage,
                    slots=slots,
                    new_content=new_content,
                    existing_content=existing_content,
                    user_profile=user_profile,
                    birth_year=birth_year,
                    background_voice=background_voice,
                    occupation=occupation,
                )
                max_tokens = int(settings.memoir_narrative_merge_max_tokens)
                agent_name = "NarrativeAgent.generate_narrative_merge"
            else:
                prompt = get_narrative_json_prompt(
                    stage=stage,
                    slots=slots,
                    new_content=new_content,
                    existing_content=existing_content,
                    user_profile=user_profile,
                    birth_year=birth_year,
                    background_voice=background_voice,
                    occupation=occupation,
                )
                max_tokens = int(settings.memoir_narrative_max_tokens)
                agent_name = "NarrativeAgent.generate_narrative"
            return invoke_json_object(
                llm,
                prompt,
                max_tokens=max_tokens,
                agent=agent_name,
            ).strip()
        except Exception as e:
            logger.warning("NarrativeAgent 生成叙事失败: {}", e)
            ex = (existing_content or "").strip()
            if ex and oral_fb:
                return f"{existing_content}\n\n{oral_fb}"
            if oral_fb:
                return oral_fb
            if ex:
                return str(existing_content)
            return ""