hgzero/ai-python/app/services/transcript_service.py

"""Transcript Service - 회의록 통합 처리"""
import logging
from datetime import datetime
from app.models.transcript import (
    ConsolidateRequest,
    ConsolidateResponse,
    AgendaSummary,
    ExtractedTodo
)
from app.services.claude_service import claude_service
from app.prompts.consolidate_prompt import get_consolidate_prompt

logger = logging.getLogger(__name__)


class TranscriptService:
    """회의록 통합 서비스"""

    async def consolidate_minutes(
        self,
        request: ConsolidateRequest
    ) -> ConsolidateResponse:
        """
        참석자별 회의록을 통합하여 AI 요약 생성
        """
        logger.info(f"회의록 통합 시작 - Meeting ID: {request.meeting_id}")
        logger.info(f"참석자 수: {len(request.participant_minutes)}")

        try:
            # 1. 프롬프트 생성
            participant_data = [
                {
                    "user_name": pm.user_name,
                    "content": pm.content
                }
                for pm in request.participant_minutes
            ]

            prompt = get_consolidate_prompt(
                participant_minutes=participant_data,
                agendas=request.agendas
            )

            # 입력 데이터 로깅
            logger.info("=" * 80)
            logger.info("INPUT - 참석자별 회의록:")
            for pm in participant_data:
                logger.info(f"\n[{pm['user_name']}]")
                logger.info(f"{pm['content'][:500]}..." if len(pm['content']) > 500 else pm['content'])
            logger.info("=" * 80)

            # 2. Claude API 호출
            start_time = datetime.utcnow()
            ai_result = await claude_service.generate_completion(prompt)
            processing_time = (datetime.utcnow() - start_time).total_seconds() * 1000

            logger.info(f"AI 처리 완료 - {processing_time:.0f}ms")

            # 3. 응답 구성
            response = self._build_response(
                meeting_id=request.meeting_id,
                ai_result=ai_result,
                participants_count=len(request.participant_minutes),
                duration_minutes=request.duration_minutes
            )

            logger.info(f"통합 요약 완료 - 안건 수: {len(response.agenda_summaries)}, Todo 수: {response.statistics['todos_count']}")

            return response

        except Exception as e:
            logger.error(f"회의록 통합 실패: {e}", exc_info=True)
            raise

    def _build_response(
        self,
        meeting_id: str,
        ai_result: dict,
        participants_count: int,
        duration_minutes: int = None
    ) -> ConsolidateResponse:
        """AI 응답을 ConsolidateResponse로 변환"""

        # 안건별 요약 변환
        agenda_summaries = []
        for agenda_data in ai_result.get("agenda_summaries", []):
            # Todo 변환 (제목만)
            todos = [
                ExtractedTodo(title=todo.get("title", ""))
                for todo in agenda_data.get("todos", [])
            ]

            agenda_summaries.append(
                AgendaSummary(
                    agenda_number=agenda_data.get("agenda_number", 0),
                    agenda_title=agenda_data.get("agenda_title", ""),
                    summary_short=agenda_data.get("summary_short", ""),
                    summary=agenda_data.get("summary", ""),
                    decisions=agenda_data.get("decisions", []),
                    pending=agenda_data.get("pending", []),
                    todos=todos
                )
            )

        # 통계 정보
        statistics = ai_result.get("statistics", {})
        statistics["participants_count"] = participants_count
        if duration_minutes:
            statistics["duration_minutes"] = duration_minutes

        # 응답 생성
        return ConsolidateResponse(
            meeting_id=meeting_id,
            keywords=ai_result.get("keywords", []),
            statistics=statistics,
            decisions=ai_result.get("decisions", ""),
            agenda_summaries=agenda_summaries,
            generated_at=datetime.utcnow()
        )


# 싱글톤 인스턴스
transcript_service = TranscriptService()