"""GET /api/queue/overview 판정부 단위테스트 — DB 불요 (plan ds-processing-ui-6an). services/queue_overview 의 SQL 수집부와 분리된 순수 판정 함수 (stage_machine_map / build_machines / build_summarize_eta / build_trend / build_totals / compute_eta_minutes / rows_to_* / display_title) 를 mock 행으로 검증한다. 통합(실 SQL)은 배포 후 라이브 smoke 로 확인. """ from datetime import datetime from zoneinfo import ZoneInfo from services.queue_overview import ( build_machines, build_summarize_eta, build_totals, build_trend, compose_overview, compute_eta_minutes, display_title, rows_to_stage_stats, rows_to_summarize_split, stage_machine_map, ) KST = ZoneInfo("Asia/Seoul") def _stage(**kw) -> dict: """stage 통계 1건 — 미지정 필드 0.""" base = { "pending": 0, "processing": 0, "failed": 0, "done_1h": 0, "done_today": 0, "done_15m": 0, "deferred_pending": 0, "created_1h": 0, } base.update(kw) return base def _split(macbook: dict | None = None, macmini: dict | None = None) -> dict: """summarize 풀 완료 실적 split — 미지정 0.""" zero = {"done_1h": 0, "done_today": 0, "done_15m": 0} return { "macbook": {**zero, **(macbook or {})}, "macmini": {**zero, **(macmini or {})}, } def _machine(machines: list[dict], key: str) -> dict: return next(m for m in machines if m["key"] == key) # ─── stage→machine 귀속 맵 ──────────────────────────────────────────────────── def test_stage_machine_map_deep_enabled(): smap = stage_machine_map(deep_enabled=True) for s in ("extract", "embed", "chunk", "markdown", "preview", "thumbnail", "fulltext", "stt"): assert smap[s] == "gpu" assert smap["classify"] == "macmini" assert smap["summarize"] == "macmini" assert smap["deep_summary"] == "macbook" def test_stage_machine_map_deep_disabled(): """deep 슬롯 부재 시 deep_summary 도 macmini 귀속.""" smap = stage_machine_map(deep_enabled=False) assert smap["deep_summary"] == "macmini" # ─── 머신 카드 귀속 합산 ────────────────────────────────────────────────────── def test_gpu_stage_counts_attribution(): stats = { "extract": _stage(pending=3, processing=1, done_1h=5, done_today=9, done_15m=1), "stt": _stage(failed=2, done_1h=1, done_today=2), } machines = build_machines(stats, _split(), [], deep_enabled=True) gpu = _machine(machines, "gpu") assert (gpu["pending"], gpu["processing"], gpu["failed"]) == (3, 1, 2) assert (gpu["done_1h"], gpu["done_today"]) == (6, 11) # gpu 의 stages 는 정적 8종 전부 (집계 0 이어도 표시) assert gpu["stages"] == [ "extract", "embed", "chunk", "markdown", "preview", "thumbnail", "fulltext", "stt", ] def test_summarize_pool_split_attribution(): """summarize pending/failed = macmini 귀속, 완료 실적은 split 로 분리 — stage-level summarize done 수치는 카드에 이중 합산되지 않는다.""" stats = { "classify": _stage(done_1h=2, done_today=3), "summarize": _stage(pending=7, failed=1, done_1h=10, done_today=20), } split = _split(macbook={"done_1h": 4, "done_today": 8}, macmini={"done_1h": 6, "done_today": 12}) machines = build_machines(stats, split, [], deep_enabled=True) macmini = _machine(machines, "macmini") macbook = _machine(machines, "macbook") assert macmini["pending"] == 7 and macmini["failed"] == 1 assert macmini["done_1h"] == 2 + 6 # classify + macmini 몫 (10 아님) assert macmini["done_today"] == 3 + 12 assert macbook["done_1h"] == 4 and macbook["done_today"] == 8 assert macbook["pending"] == 0 # 풀 pending 은 macmini 만 def test_deep_disabled_deep_summary_counts_to_macmini(): stats = {"deep_summary": _stage(pending=2, processing=1, done_1h=3, done_today=4)} machines = build_machines(stats, _split(), [], deep_enabled=False) macmini = _machine(machines, "macmini") macbook = _machine(machines, "macbook") assert macmini["pending"] == 2 and macmini["processing"] == 1 assert macmini["done_1h"] == 3 and macmini["done_today"] == 4 assert macbook["stages"] == [] and macbook["pending"] == 0 assert _machine(machines, "macmini")["stages"] == ["classify", "summarize", "deep_summary"] def test_deferred_pending_always_on_macbook_card(): """보류(deferred_until 미래)는 summarize+deep_summary 합산으로 macbook 카드 귀속. deep 슬롯 유무와 무관 (보류 = 맥북 불가 신호).""" stats = { "summarize": _stage(pending=5, deferred_pending=2), "deep_summary": _stage(pending=1, deferred_pending=1), } for deep_enabled in (True, False): machines = build_machines(stats, _split(), [], deep_enabled=deep_enabled) assert _machine(machines, "macbook")["deferred_pending"] == 3 assert _machine(machines, "gpu")["deferred_pending"] == 0 assert _machine(machines, "macmini")["deferred_pending"] == 0 # ─── state 판정 ─────────────────────────────────────────────────────────────── def test_macbook_state_deferred_wins_over_active(): stats = {"summarize": _stage(pending=1, deferred_pending=1)} split = _split(macbook={"done_15m": 3}) # 최근 완료가 있어도 deferred 우선 machines = build_machines(stats, split, [], deep_enabled=True) assert _machine(machines, "macbook")["state"] == "deferred" def test_macbook_state_active_on_recent_qwen_done(): split = _split(macbook={"done_15m": 1}) machines = build_machines({}, split, [], deep_enabled=True) assert _machine(machines, "macbook")["state"] == "active" def test_macbook_state_idle(): machines = build_machines({}, _split(), [], deep_enabled=True) assert _machine(machines, "macbook")["state"] == "idle" def test_gpu_state_active_on_processing(): stats = {"extract": _stage(processing=1)} machines = build_machines(stats, _split(), [], deep_enabled=True) assert _machine(machines, "gpu")["state"] == "active" def test_gpu_state_active_on_recent_done(): stats = {"embed": _stage(done_15m=2)} machines = build_machines(stats, _split(), [], deep_enabled=True) assert _machine(machines, "gpu")["state"] == "active" def test_gpu_state_idle_when_old_done_only(): stats = {"embed": _stage(done_1h=5, done_today=9)} # 15분 내 완료 없음 machines = build_machines(stats, _split(), [], deep_enabled=True) assert _machine(machines, "gpu")["state"] == "idle" def test_macmini_state_not_active_on_macbook_pool_done(): """summarize 풀 완료가 전부 macbook 몫이면 macmini 는 active 아님 (귀속 기준).""" stats = {"summarize": _stage(done_15m=1)} split = _split(macbook={"done_15m": 1}) machines = build_machines(stats, split, [], deep_enabled=True) assert _machine(machines, "macmini")["state"] == "idle" def test_macmini_state_active_on_summarize_processing(): stats = {"summarize": _stage(processing=1)} machines = build_machines(stats, _split(), [], deep_enabled=True) assert _machine(machines, "macmini")["state"] == "active" # ─── current 귀속 ───────────────────────────────────────────────────────────── def test_current_summarize_to_macmini_max_two(): rows = [ {"stage": "summarize", "document_id": 1, "title": "문서A", "original_filename": None, "file_path": None}, {"stage": "summarize", "document_id": 2, "title": "문서B", "original_filename": None, "file_path": None}, {"stage": "summarize", "document_id": 3, "title": "문서C", "original_filename": None, "file_path": None}, {"stage": "extract", "document_id": 4, "title": "문서D", "original_filename": None, "file_path": None}, ] machines = build_machines({}, _split(), rows, deep_enabled=True) macmini = _machine(machines, "macmini") gpu = _machine(machines, "gpu") assert [c["document_id"] for c in macmini["current"]] == [1, 2] # 최대 2건 assert macmini["current"][0] == {"document_id": 1, "title": "문서A", "stage": "summarize"} assert [c["document_id"] for c in gpu["current"]] == [4] assert _machine(machines, "macbook")["current"] == [] def test_current_deep_summary_follows_deep_slot(): rows = [{"stage": "deep_summary", "document_id": 9, "title": "심층", "original_filename": None, "file_path": None}] enabled = build_machines({}, _split(), rows, deep_enabled=True) disabled = build_machines({}, _split(), rows, deep_enabled=False) assert _machine(enabled, "macbook")["current"][0]["document_id"] == 9 assert _machine(disabled, "macmini")["current"][0]["document_id"] == 9 def test_display_title_fallback_chain(): assert display_title({"document_id": 1, "title": "제목"}) == "제목" assert display_title({"document_id": 1, "title": None, "original_filename": "a.pdf"}) == "a.pdf" assert display_title( {"document_id": 1, "title": None, "original_filename": None, "file_path": "/documents/PKM/Inbox/b.hwp"} ) == "b.hwp" assert display_title( {"document_id": 7, "title": None, "original_filename": None, "file_path": None} ) == "문서 #7" # ─── summarize ETA ──────────────────────────────────────────────────────────── def test_eta_minutes_positive_drain(): # 순소화 6건/h, 잔량 30건 → 300분 assert compute_eta_minutes(30, 10, 4) == 300 def test_eta_minutes_null_when_not_draining(): assert compute_eta_minutes(30, 4, 10) is None # 유입 > 소화 assert compute_eta_minutes(30, 5, 5) is None # 동률도 null assert compute_eta_minutes(30, 0, 0) is None def test_eta_minutes_zero_pending(): assert compute_eta_minutes(0, 10, 4) == 0 def test_build_summarize_eta_pending_includes_deferred(): stats = {"summarize": _stage(pending=12, deferred_pending=5, done_1h=8, created_1h=2)} eta = build_summarize_eta(stats) assert eta == { "pending": 12, # 보류 포함 총수 (pending 자체에 deferred 포함) "done_rate_1h": 8, "inflow_rate_1h": 2, "eta_minutes": round(12 / 6 * 60), } def test_build_summarize_eta_empty_stats(): eta = build_summarize_eta({}) assert eta == {"pending": 0, "done_rate_1h": 0, "inflow_rate_1h": 0, "eta_minutes": None} # ─── trend 24h ──────────────────────────────────────────────────────────────── def test_trend_24_buckets_oldest_first_with_gaps(): now_kst = datetime(2026, 6, 11, 14, 30, tzinfo=KST) inflow = {"2026-06-11 13:00": 3, "2026-06-10 15:00": 1} # 15:00 어제 = 최고령 버킷 done = {"2026-06-11 14:00": 2} trend = build_trend(inflow, done, now_kst) assert len(trend) == 24 assert trend[0] == {"hour": "15:00", "inflow": 1, "done": 0} # 오래된 것부터 assert trend[-1] == {"hour": "14:00", "inflow": 0, "done": 2} # 현재 시각 버킷 assert trend[-2] == {"hour": "13:00", "inflow": 3, "done": 0} # 빈 버킷은 0 assert sum(b["inflow"] for b in trend) == 4 assert sum(b["done"] for b in trend) == 2 def test_trend_ignores_out_of_window_bucket(): """창 밖(24버킷 미포함) key 는 무시 — cutoff 경계 행이 섞여도 안전.""" now_kst = datetime(2026, 6, 11, 14, 30, tzinfo=KST) inflow = {"2026-06-10 14:00": 99} # 14:00 어제 — 창의 최고령(15:00 어제) 이전 trend = build_trend(inflow, {}, now_kst) assert sum(b["inflow"] for b in trend) == 0 def test_trend_kst_midnight_crossing_labels(): now_kst = datetime(2026, 6, 11, 2, 5, tzinfo=KST) trend = build_trend({}, {}, now_kst) assert trend[-1]["hour"] == "02:00" assert trend[0]["hour"] == "03:00" # 전날 03:00 (라벨은 HH:00 만) assert [b["hour"] for b in trend[-3:]] == ["00:00", "01:00", "02:00"] # ─── totals / row 변환 / 전체 조립 ─────────────────────────────────────────── def test_totals_sum_all_stages(): stats = { "extract": _stage(pending=1, processing=2, failed=3), "summarize": _stage(pending=4, failed=1), "deep_summary": _stage(pending=2), } assert build_totals(stats) == {"pending": 7, "processing": 2, "failed": 4} def test_rows_to_stage_stats_conversion(): rows = [ ("extract", 3, 1, 0, 5, 9, 1, 0, 2), ("summarize", 7, None, 1, 10, 20, 0, 2, 4), # None 방어 ] stats = rows_to_stage_stats(rows) assert stats["extract"]["pending"] == 3 and stats["extract"]["created_1h"] == 2 assert stats["summarize"]["processing"] == 0 assert stats["summarize"]["deferred_pending"] == 2 def test_rows_to_summarize_split_conversion(): rows = [ (True, 4, 8, 1), # is_macbook (False, 6, 12, 0), ] split = rows_to_summarize_split(rows) assert split["macbook"] == {"done_1h": 4, "done_today": 8, "done_15m": 1} assert split["macmini"] == {"done_1h": 6, "done_today": 12, "done_15m": 0} def test_rows_to_summarize_split_empty(): split = rows_to_summarize_split([]) assert split["macbook"]["done_1h"] == 0 and split["macmini"]["done_today"] == 0 def test_compose_overview_contract_shape(): """응답 dict 의 키가 FE 계약 shape 과 정확히 일치하는지 고정.""" out = compose_overview( {"summarize": _stage(pending=1)}, _split(), {}, {}, [], deep_enabled=True, now_kst=datetime(2026, 6, 11, 14, 30, tzinfo=KST), ) assert set(out.keys()) == {"machines", "summarize_eta", "trend_24h", "totals"} assert [m["key"] for m in out["machines"]] == ["gpu", "macmini", "macbook"] for m in out["machines"]: assert set(m.keys()) == { "key", "label", "state", "stages", "pending", "processing", "failed", "done_1h", "done_today", "deferred_pending", "current", } assert m["state"] in ("active", "deferred", "idle") assert set(out["summarize_eta"].keys()) == {"pending", "done_rate_1h", "inflow_rate_1h", "eta_minutes"} assert len(out["trend_24h"]) == 24 assert set(out["trend_24h"][0].keys()) == {"hour", "inflow", "done"} assert set(out["totals"].keys()) == {"pending", "processing", "failed"} # 머신 label 고정 (raw 모델명 노출 금지 — label 만) assert [m["label"] for m in out["machines"]] == ["GPU 서버", "맥미니", "맥북 M5 Max"]