107 lines
3.6 KiB
Python
107 lines
3.6 KiB
Python
"""fetch_worker — 주간창/조립/격리/heartbeat."""
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import datetime as dt
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import json
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from zoneinfo import ZoneInfo
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from fetch_worker import FetchState, in_daytime, run_cycle, build_heartbeat
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from config import load_settings
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KST = ZoneInfo("Asia/Seoul")
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def _kst(hh, mm):
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return dt.datetime(2026, 7, 10, hh, mm, tzinfo=KST)
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def test_in_daytime_boundaries():
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assert in_daytime(_kst(8, 0), "08:00", "20:00") is True
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assert in_daytime(_kst(19, 59), "08:00", "20:00") is True
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assert in_daytime(_kst(20, 0), "08:00", "20:00") is False
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assert in_daytime(_kst(7, 59), "08:00", "20:00") is False
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class _FakeNAS:
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def __init__(self, targets):
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self._targets = targets
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self.ingested = None
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async def get_targets(self):
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return self._targets
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async def post_ingest(self, fetched_at, batches):
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self.ingested = {"fetched_at": fetched_at, "batches": batches}
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return {"received": sum(len(b["articles"]) for b in batches), "new": 1, "matched": 1}
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class _FakeNaver:
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def __init__(self, fail_dongs=None):
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self._fail = fail_dongs or set()
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self.token_acquired = False
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async def acquire_token(self):
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self.token_acquired = True
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async def fetch_articles(self, cortar_no, page=1):
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if cortar_no in self._fail:
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raise RuntimeError("naver 429")
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return {"isMoreData": False,
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"articleList": [{"articleNo": f"{cortar_no}-{page}"}]}
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async def test_run_cycle_assembles_batches_and_ingests():
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nas = _FakeNAS({"dongs": [{"dong": "신대방동", "cortar_no": "1159010100"},
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{"dong": "봉천동", "cortar_no": "1162010100"}],
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"deal_types": ["매매"], "page_limit": 1})
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naver = _FakeNaver()
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state = FetchState()
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await run_cycle(nas, naver, state, load_settings())
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assert naver.token_acquired is True
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assert nas.ingested is not None
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dongs = [b["dong"] for b in nas.ingested["batches"]]
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assert dongs == ["신대방동", "봉천동"]
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assert state.listings_pushed == 2
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assert state.last_fetch_at is not None
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assert state.state == "idle"
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assert nas.ingested["fetched_at"].endswith("Z")
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async def test_run_cycle_dong_failure_isolated():
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nas = _FakeNAS({"dongs": [{"dong": "A", "cortar_no": "1159010100"},
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{"dong": "B", "cortar_no": "1162010100"}],
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"page_limit": 1})
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naver = _FakeNaver(fail_dongs={"1159010100"})
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state = FetchState()
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await run_cycle(nas, naver, state, load_settings())
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assert nas.ingested is not None # 실패해도 ingest 진행
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assert state.errors >= 1
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batches = {b["dong"]: b["articles"] for b in nas.ingested["batches"]}
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assert batches["A"] == [] # 실패 동 빈 배열
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assert len(batches["B"]) == 1 # 성공 동
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async def test_run_cycle_token_failure_skips_ingest():
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class _BadNaver(_FakeNaver):
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async def acquire_token(self):
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raise RuntimeError("token 실패")
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nas = _FakeNAS({"dongs": [], "page_limit": 1})
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state = FetchState()
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await run_cycle(nas, _BadNaver(), state, load_settings())
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assert nas.ingested is None
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assert state.errors == 1
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assert state.state == "idle"
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def test_build_heartbeat_schema():
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state = FetchState()
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state.state = "fetching"
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state.listings_pushed = 7
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d = json.loads(build_heartbeat(state))
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assert d["name"] == "naver-fetch"
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assert d["kind"] == "fetcher"
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assert d["state"] == "fetching"
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assert isinstance(d["ts"], int)
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assert d["last_fetch_at"] is None
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assert d["listings_pushed"] == 7
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assert d["errors"] == 0
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