o2o-negosium-original/lps/services/lps_service.py

"""LPS 검색 요청 도메인 로직. 요청을 검색 잡으로 큐에 적재하고 상태/통계를 조회한다.

라우터는 요청 검증→service 호출→RemoveNoneResponse 만 담당(backend 컨벤션).
실제 검색/크롤링은 워커가 큐에서 잡을 꺼내 파이프라인으로 수행한다(비동기 분리).
"""

import uuid

from fastapi import Depends

from common.database.db_session_manager import DB_SESSION_MNG
from common.enums import ErrorType, JobStatus, JobType
from crud.job_crud import JobQueue
from crud.price_history import PriceHistory
from crud.bot_detection import BotDetectionLog
from router.v1.lps.protocol import (
    EnqueuedItem,
    PricePoint,
    Res_JobStatus,
    Res_PriceHistory,
    Res_QueueStats,
    Res_Search,
    SearchItem,
)

# 요청 유형 → 우선순위(낮을수록 우선). 알 수 없는 유형은 가장 낮은 우선순위(배치와 동급).
_PRIORITY = {"new_product": 1, "manual": 2, "partner": 3, "batch": 4}


class LpsService:
    def __init__(self, queue: JobQueue = Depends(JobQueue), history: PriceHistory = Depends(PriceHistory),
                 bot_log: BotDetectionLog = Depends(BotDetectionLog)):
        self.queue = queue
        self.history = history
        self.bot_log = bot_log

    async def submit_search(self, items: list[SearchItem]) -> Res_Search:
        res = Res_Search()
        for it in items:
            priority = _PRIORITY.get(it.job_type, 4)
            job_id = await self.queue.enqueue(
                JobType.SEARCH.value,
                it.model_dump(),
                priority=priority,
                dedupe_key=f"search-{it.product_code}",
            )
            res.items.append(EnqueuedItem(product_code=it.product_code, job_id=job_id, duplicated=job_id is None))
        res.accepted = sum(1 for i in res.items if i.job_id is not None)
        return res

    async def get_job(self, job_id_str: str) -> Res_JobStatus:
        res = Res_JobStatus()
        try:
            uuid.UUID(job_id_str)  # 잘못된 id 는 DB 조회 전에 컷
        except (ValueError, TypeError):
            res.result.SetResult(ErrorType.LPS_JOB_NOT_FOUND)
            return res

        row = await self.queue.get(job_id_str)
        if row is None:
            res.result.SetResult(ErrorType.LPS_JOB_NOT_FOUND)
            return res

        res.job_id = row["job_id"]
        res.status = JobStatus(row["status"]).name
        res.attempts = row["attempts"]
        res.max_attempts = row["max_attempts"]
        res.output = row.get("result")
        res.last_error = row.get("last_error")
        return res

    async def stats(self) -> Res_QueueStats:
        res = Res_QueueStats()
        res.counts = await self.queue.counts()
        return res

    async def ops(self) -> dict:
        """운영 스냅샷(모니터링·알림용, 플랫 JSON): 큐 카운트·지연·최근 DEAD·최근 차단 수 + DB 풀 사용률."""
        snap = await self.queue.ops()
        snap["blocks_1h"] = await self.bot_log.recent_count(60)
        pool = DB_SESSION_MNG.pool_status()   # API 프로세스 자신의 풀(워커 풀은 워커 ops-monitor 가 감시)
        snap["pool_checked_out"], snap["pool_capacity"], snap["pool_pct"] = pool["checked_out"], pool["capacity"], pool["pct"]
        return snap

    async def price_history(self, product_code: str, limit: int = 100) -> Res_PriceHistory:
        res = Res_PriceHistory(product_code=product_code)
        rows = await self.history.list_by_product(product_code, limit)
        res.points = [
            PricePoint(
                triggered_at=r["triggered_at"].isoformat(timespec="seconds"),
                outcome=r["outcome"],
                matched_count=r["matched_count"],
                naver=r["naver_lowest"], coupang=r["coupang_lowest"], final=r["final_lowest"],
                final_source=r["final_source"],
                naver_name=r["naver_name"], naver_url=r["naver_url"],
                coupang_name=r["coupang_name"], coupang_url=r["coupang_url"],
                by_mall=r.get("by_mall"),
            )
            for r in rows
        ]
        return res