refactor: rename stock-lab → stock (graduation)

- git mv stock-lab/ → stock/
- docker-compose.yml: 서비스 키 + container_name + build.context +
  frontend.depends_on + agent-office STOCK_LAB_URL → STOCK_URL
- agent-office/app: config.py, service_proxy.py, agents/stock.py, tests/
  STOCK_LAB_URL → STOCK_URL
- nginx/default.conf: proxy_pass http://stock-lab → http://stock (3 lines)
- CLAUDE.md / README.md / STATUS.md / scripts/ 문구 갱신
- stock/ 내부 자기 참조 갱신

lab 네이밍 정책 (feedback_lab_naming.md) graduation.
API URL / Python import / DB 파일명 변경 없음.

stock/app/test_screener_snapshot.py

@@ -0,0 +1,129 @@
+import datetime as dt
+import sqlite3
+
+import pandas as pd
+import pytest
+
+from app.screener import snapshot as snap
+from app.screener.schema import ensure_screener_schema
+
+
+@pytest.fixture
+def conn(tmp_path):
+    db_path = tmp_path / "snap.db"
+    c = sqlite3.connect(db_path)
+    ensure_screener_schema(c)
+    yield c
+    c.close()
+
+
+def _stub_listing(monkeypatch):
+    df = pd.DataFrame([
+        {"Code": "005930", "Name": "삼성전자", "Market": "KOSPI",
+         "Marcap": 420_000_000_000_000,
+         "Open": 70000, "High": 72000, "Low": 69500, "Close": 71000,
+         "Volume": 12_000_000, "Amount": 840_000_000_000},
+        {"Code": "035420", "Name": "NAVER", "Market": "KOSPI",
+         "Marcap": 30_000_000_000_000,
+         "Open": 215000, "High": 220000, "Low": 213000, "Close": 218000,
+         "Volume": 1_000_000, "Amount": 218_000_000_000},
+        {"Code": "091990", "Name": "셀트리온헬스케어우", "Market": "KOSDAQ",
+         "Marcap": 10_000_000_000_000,
+         "Open": 60000, "High": 61000, "Low": 59500, "Close": 60500,
+         "Volume": 500_000, "Amount": 30_250_000_000},
+    ])
+    monkeypatch.setattr(snap, "fetch_master_listing", lambda: df)
+
+
+def _stub_flow(monkeypatch, mapping):
+    def fake_flow(ticker, *, client):
+        if mapping is None:
+            return None
+        v = mapping.get(ticker)
+        if v is None:
+            return None
+        return {
+            "date": dt.date(2026, 5, 12).isoformat(),
+            "foreign_net": v["foreign_net"],
+            "institution_net": v["institution_net"],
+        }
+    monkeypatch.setattr(snap, "fetch_flow_naver", fake_flow)
+
+
+def test_refresh_daily_writes_master_and_prices(conn, monkeypatch):
+    _stub_listing(monkeypatch)
+    _stub_flow(monkeypatch, None)
+    summary = snap.refresh_daily(conn, dt.date(2026, 5, 12),
+                                 flow_top_n=10, rate_limit_sec=0)
+    assert summary["master_count"] == 3
+    assert summary["prices_count"] == 3
+    assert summary["flow_count"] == 0
+
+    row = conn.execute(
+        "SELECT close FROM krx_daily_prices WHERE ticker='005930' AND date='2026-05-12'"
+    ).fetchone()
+    assert row[0] == 71000
+
+
+def test_refresh_daily_writes_flow_for_top_n(conn, monkeypatch):
+    _stub_listing(monkeypatch)
+    _stub_flow(monkeypatch, {
+        "005930": {"foreign_net": 12_000_000_000, "institution_net": 4_000_000_000},
+        "035420": {"foreign_net": -3_000_000_000, "institution_net": 8_000_000_000},
+    })
+    summary = snap.refresh_daily(conn, dt.date(2026, 5, 12),
+                                 flow_top_n=2, rate_limit_sec=0)
+    assert summary["flow_count"] == 2
+    row = conn.execute(
+        "SELECT foreign_net FROM krx_flow WHERE ticker='005930'"
+    ).fetchone()
+    assert row[0] == 12_000_000_000
+
+
+def test_master_flags_preferred(conn, monkeypatch):
+    _stub_listing(monkeypatch)
+    _stub_flow(monkeypatch, None)
+    snap.refresh_daily(conn, dt.date(2026, 5, 12), flow_top_n=0, rate_limit_sec=0)
+    pref = conn.execute(
+        "SELECT is_preferred FROM krx_master WHERE ticker='091990'"
+    ).fetchone()
+    assert pref[0] == 1
+
+
+def test_refresh_daily_is_idempotent(conn, monkeypatch):
+    _stub_listing(monkeypatch)
+    _stub_flow(monkeypatch, None)
+    snap.refresh_daily(conn, dt.date(2026, 5, 12), flow_top_n=0, rate_limit_sec=0)
+    snap.refresh_daily(conn, dt.date(2026, 5, 12), flow_top_n=0, rate_limit_sec=0)
+    cnt = conn.execute(
+        "SELECT count(*) FROM krx_daily_prices WHERE date='2026-05-12'"
+    ).fetchone()[0]
+    assert cnt == 3
+
+
+def test_fetch_flow_naver_parses_html():
+    """Real HTML structure parse with synthetic naver-like markup."""
+    html = """
+    <html><body>
+    <table class="type2">
+      <tr><th>날짜</th></tr>
+      <tr><td>2026.05.12</td><td>71,000</td><td>500</td><td>0.71%</td>
+          <td>12,000,000</td><td>4,000,000,000</td><td>12,000,000,000</td>
+          <td>1</td><td>53.0</td></tr>
+      <tr><td>2026.05.09</td><td>70,500</td><td>-200</td><td>-0.28%</td>
+          <td>10,000,000</td><td>2,000,000,000</td><td>5,000,000,000</td>
+          <td>1</td><td>52.8</td></tr>
+    </table>
+    </body></html>
+    """
+    class FakeResp:
+        status_code = 200
+        text = html
+    class FakeClient:
+        def get(self, url, params): return FakeResp()
+    out = snap.fetch_flow_naver("005930", client=FakeClient())
+    assert out == {
+        "date": "2026-05-12",
+        "foreign_net": 12_000_000_000,
+        "institution_net": 4_000_000_000,
+    }