fix(naver-fetch): realestate base :18800 + 동별 ingest + 180s no-retry

services/docker-compose.yml

@@ -164,7 +164,7 @@ services:
     environment:
       - TZ=Asia/Seoul
       - REDIS_URL=${REDIS_URL:-redis://192.168.45.54:6379}
-      - NAS_BASE_URL=${NAS_BASE_URL:-http://192.168.45.54:18500}
+      - NAS_BASE_URL=${NAVER_NAS_BASE_URL:-http://192.168.45.54:18800}
       - INTERNAL_API_KEY=${INTERNAL_API_KEY:-}
       - FETCH_INTERVAL_HOURS=${FETCH_INTERVAL_HOURS:-2.5}
       - DAYTIME_START=${DAYTIME_START:-08:00}

services/naver-fetch/.env.example

@@ -1,7 +1,8 @@
 # naver-fetch — realestate 매물 fetch 워커
 
 REDIS_URL=redis://192.168.45.54:6379
-NAS_BASE_URL=http://192.168.45.54:18500
+# realestate-lab 직결 (targets/listings-ingest). compose가 NAVER_NAS_BASE_URL로 주입
+NAVER_NAS_BASE_URL=http://192.168.45.54:18800
 # render 워커 공유키 (X-Internal-Key)
 INTERNAL_API_KEY=
 

services/naver-fetch/DESIGN.md

@@ -46,20 +46,22 @@
 state.state = "fetching"
 await naver.acquire_token()             # Playwright 1회 (사이클당)
 tg = await nas.get_targets()            # {dongs:[{dong,cortar_no}], deal_types, page_limit}
-batches = []
+for d in tg.dongs:                      # 동 단위 try/except 격리 (fetch/ingest 각각)
-for d in tg.dongs:                      # 동 단위 try/except 격리
     articles = []
     for page in 1..tg.page_limit:
         resp = await naver.fetch_articles(d.cortar_no, page)   # httpx GET
         articles += resp.get("articleList", [])
         if not resp.get("isMoreData"): break
-    batches.append({"dong": d.dong, "articles": articles})
+    # ⚠️ 동별로 즉시 ingest — 전체 batch를 한 POST로 보내면 NAS 동기 처리(매물 수 비례)가
-r = await nas.post_ingest(fetched_at=iso_utc_now, batches=batches)  # {received,new,matched}
+    #    >180s 타임아웃. 동 단위(각 수십건)로 쪼개 각 POST가 timeout 내 완료 + 부분 실패 격리.
-state.listings_pushed += sum(len(b["articles"]) for b in batches)
+    r = await nas.post_ingest(fetched_at=iso_utc_now, batches=[{"dong": d.dong, "articles": articles}])
+    state.listings_pushed += len(articles)   # {received,new,matched}
 state.last_fetch_at = epoch_now
 state.state = "idle"
 ```
 
+> ⚠️ **ingest 분할**: 스펙은 batches(복수)를 한 POST로 예시하지만, 첫 실행 대량(6동×~40건)이 NAS에서 >180s 걸려 타임아웃 → **동별 1 POST**로 분할(batches 리스트 계약 호환, 각 POST는 batches 1개). nas_client의 ingest는 timeout 180s·재시도 없음(재전송 시 NAS 중복 알림 방지). BE에 분할 통지 필요.
+
 > ⚠️ **시간 포맷 2종**: ingest `fetched_at`은 **ISO UTC 문자열**(스펙 §4 ingest 스키마, 예 `2026-07-09T05:44:23Z`), heartbeat `ts`/`last_fetch_at`은 **epoch 정수**(스펙 §4.4). 혼동 주의.
 
 `heartbeat_loop`(별도 15초)이 `FetchState`를 읽어 §4.4 페이로드 발신.
@@ -101,7 +103,7 @@ state.state = "idle"
 
 | env | 기본값 | 용도 |
 |-----|--------|------|
-| `NAS_BASE_URL` | `http://192.168.45.54:18500` | targets/ingest |
+| `NAS_BASE_URL` (compose: `NAVER_NAS_BASE_URL`) | `http://192.168.45.54:18800` | **realestate-lab 직결** targets/ingest (stock :18500 아님) |
 | `INTERNAL_API_KEY` | (필수) | `X-Internal-Key` (render 워커 공유키) |
 | `REDIS_URL` | `redis://192.168.45.54:6379` | heartbeat |
 | `FETCH_INTERVAL_HOURS` | `2.5` | fetch 주기 |

services/naver-fetch/config.py

@@ -24,7 +24,7 @@ class Settings:
 
 def load_settings() -> Settings:
     return Settings(
-        nas_base_url=os.getenv("NAS_BASE_URL", "http://192.168.45.54:18500"),
+        nas_base_url=os.getenv("NAS_BASE_URL", "http://192.168.45.54:18800"),
         internal_api_key=os.getenv("INTERNAL_API_KEY", ""),
         redis_url=os.getenv("REDIS_URL", "redis://192.168.45.54:6379"),
         fetch_interval_hours=float(os.getenv("FETCH_INTERVAL_HOURS", "2.5")),

services/naver-fetch/fetch_worker.py

@@ -58,12 +58,14 @@ async def run_cycle(nas, naver, state, settings) -> None:
 
     dongs = tg.get("dongs", [])
     page_limit = int(tg.get("page_limit", 1))
-    batches: list[dict] = []
+    fetched_at = _iso_utc_now()
+    # 동별로 fetch → 즉시 ingest. 전체 batch를 한 POST로 보내면 NAS 동기 처리(매물 수 비례)가
+    # >180s로 타임아웃하므로 동 단위로 쪼갬(각 ~수십건 → 빠름, 부분 실패 격리). batches 리스트 계약 호환.
     for d in dongs:
         cortar = d.get("cortar_no")
         dong = d.get("dong")
-        articles: list[dict] = []
         try:
+            articles: list[dict] = []
             for page in range(1, page_limit + 1):
                 resp = await naver.fetch_articles(cortar, page)
                 articles += resp.get("articleList", [])
@@ -72,20 +74,16 @@ async def run_cycle(nas, naver, state, settings) -> None:
         except Exception:
             logger.exception("naver fetch 실패 dong=%s", dong)
             state.errors += 1
-        batches.append({"dong": dong, "articles": articles})
+            continue
+        try:
+            r = await nas.post_ingest(fetched_at, [{"dong": dong, "articles": articles}])
+            logger.info("ingest dong=%s received=%s new=%s matched=%s",
+                        dong, r.get("received"), r.get("new"), r.get("matched"))
+            state.listings_pushed += len(articles)
+        except Exception:
+            logger.exception("listings-ingest 실패 dong=%s", dong)
+            state.errors += 1
 
-    fetched_at = _iso_utc_now()
-    try:
-        r = await nas.post_ingest(fetched_at, batches)
-        logger.info("ingest received=%s new=%s matched=%s",
-                    r.get("received"), r.get("new"), r.get("matched"))
-    except Exception:
-        logger.exception("listings-ingest 실패")
-        state.errors += 1
-        state.state = "idle"
-        return
-
-    state.listings_pushed += sum(len(b["articles"]) for b in batches)
     state.last_fetch_at = _epoch_now()
     state.state = "idle"
 

services/naver-fetch/nas_client.py

@@ -8,40 +8,47 @@ import httpx
 
 logger = logging.getLogger(__name__)
 
-_MAX_ATTEMPTS = 3
 _RETRY_STATUSES = {429, 500, 502, 503, 504}
+_TARGETS_TIMEOUT = 15.0
+_INGEST_TIMEOUT = 180.0   # 첫 실행 bulk upsert/매칭/알림이 느림 (초 단위 수십)
 
 
 class NASClient:
-    def __init__(self, base_url: str, api_key: str, timeout: float = 15.0):
+    def __init__(self, base_url: str, api_key: str):
         self._base_url = base_url.rstrip("/")
         self._api_key = api_key
-        self._client = httpx.AsyncClient(timeout=timeout)
+        self._client = httpx.AsyncClient()
 
     async def close(self) -> None:
         await self._client.aclose()
 
     async def get_targets(self) -> dict:
-        return await self._request("GET", "/api/internal/realestate/targets")
+        return await self._request("GET", "/api/internal/realestate/targets",
+                                   timeout=_TARGETS_TIMEOUT, max_attempts=3)
 
     async def post_ingest(self, fetched_at: str, batches: list[dict]) -> dict:
+        # ingest는 재시도 안 함(max_attempts=1) — 타임아웃 후 재전송 시
+        # NAS가 같은 batch를 재처리/재알림할 위험. 실패 시 다음 사이클에 재시도.
         return await self._request(
             "POST", "/api/internal/realestate/listings-ingest",
-            json={"fetched_at": fetched_at, "batches": batches})
+            json={"fetched_at": fetched_at, "batches": batches},
+            timeout=_INGEST_TIMEOUT, max_attempts=1)
 
-    async def _request(self, method: str, path: str, **kwargs) -> dict:
+    async def _request(self, method: str, path: str, *, timeout: float,
+                       max_attempts: int, **kwargs) -> dict:
         url = f"{self._base_url}{path}"
         headers = {"X-Internal-Key": self._api_key}
-        for attempt in range(_MAX_ATTEMPTS):
+        for attempt in range(max_attempts):
             try:
-                resp = await self._client.request(method, url, headers=headers, **kwargs)
+                resp = await self._client.request(method, url, headers=headers,
-                if resp.status_code in _RETRY_STATUSES and attempt < _MAX_ATTEMPTS - 1:
+                                                  timeout=timeout, **kwargs)
+                if resp.status_code in _RETRY_STATUSES and attempt < max_attempts - 1:
                     await asyncio.sleep(2 ** attempt)
                     continue
                 resp.raise_for_status()
                 return resp.json()
             except httpx.TimeoutException:
-                if attempt < _MAX_ATTEMPTS - 1:
+                if attempt < max_attempts - 1:
                     await asyncio.sleep(2 ** attempt)
                     continue
                 raise

services/naver-fetch/tests/test_config.py

@@ -8,7 +8,7 @@ def test_defaults(monkeypatch):
               "NAVER_TOKEN_URL", "NAVER_HEADLESS"):
         monkeypatch.delenv(k, raising=False)
     s = load_settings()
-    assert s.nas_base_url == "http://192.168.45.54:18500"
+    assert s.nas_base_url == "http://192.168.45.54:18800"
     assert s.fetch_interval_hours == 2.5
     assert s.daytime_start == "08:00" and s.daytime_end == "20:00"
     assert s.naver_headless is True

services/naver-fetch/tests/test_fetch_worker.py

@@ -23,14 +23,15 @@ def test_in_daytime_boundaries():
 class _FakeNAS:
     def __init__(self, targets):
         self._targets = targets
-        self.ingested = None
+        self.ingests = []           # 동별 post_ingest 호출 기록
 
     async def get_targets(self):
         return self._targets
 
     async def post_ingest(self, fetched_at, batches):
-        self.ingested = {"fetched_at": fetched_at, "batches": batches}
+        self.ingests.append({"fetched_at": fetched_at, "batches": batches})
-        return {"received": sum(len(b["articles"]) for b in batches), "new": 1, "matched": 1}
+        n = sum(len(b["articles"]) for b in batches)
+        return {"received": n, "new": n, "matched": 0}
 
 
 class _FakeNaver:
@@ -48,7 +49,7 @@ class _FakeNaver:
                 "articleList": [{"articleNo": f"{cortar_no}-{page}"}]}
 
 
-async def test_run_cycle_assembles_batches_and_ingests():
+async def test_run_cycle_ingests_per_dong():
     nas = _FakeNAS({"dongs": [{"dong": "신대방동", "cortar_no": "1159010100"},
                               {"dong": "봉천동", "cortar_no": "1162010100"}],
                     "deal_types": ["매매"], "page_limit": 1})
@@ -56,13 +57,14 @@ async def test_run_cycle_assembles_batches_and_ingests():
     state = FetchState()
     await run_cycle(nas, naver, state, load_settings())
     assert naver.token_acquired is True
-    assert nas.ingested is not None
+    assert len(nas.ingests) == 2                       # 동별 1 POST씩
-    dongs = [b["dong"] for b in nas.ingested["batches"]]
+    dongs = [ing["batches"][0]["dong"] for ing in nas.ingests]
     assert dongs == ["신대방동", "봉천동"]
+    assert all(len(ing["batches"]) == 1 for ing in nas.ingests)
     assert state.listings_pushed == 2
     assert state.last_fetch_at is not None
     assert state.state == "idle"
-    assert nas.ingested["fetched_at"].endswith("Z")
+    assert nas.ingests[0]["fetched_at"].endswith("Z")
 
 
 async def test_run_cycle_dong_failure_isolated():
@@ -72,11 +74,10 @@ async def test_run_cycle_dong_failure_isolated():
     naver = _FakeNaver(fail_dongs={"1159010100"})
     state = FetchState()
     await run_cycle(nas, naver, state, load_settings())
-    assert nas.ingested is not None            # 실패해도 ingest 진행
+    # A는 fetch 실패 → ingest skip, B만 ingest (부분 실패 격리)
+    assert len(nas.ingests) == 1
+    assert nas.ingests[0]["batches"][0]["dong"] == "B"
     assert state.errors >= 1
-    batches = {b["dong"]: b["articles"] for b in nas.ingested["batches"]}
-    assert batches["A"] == []                   # 실패 동 빈 배열
-    assert len(batches["B"]) == 1               # 성공 동
 
 
 async def test_run_cycle_token_failure_skips_ingest():
@@ -87,7 +88,7 @@ async def test_run_cycle_token_failure_skips_ingest():
     nas = _FakeNAS({"dongs": [], "page_limit": 1})
     state = FetchState()
     await run_cycle(nas, _BadNaver(), state, load_settings())
-    assert nas.ingested is None
+    assert nas.ingests == []
     assert state.errors == 1
     assert state.state == "idle"