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-labhttp://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.
This commit is contained in:
2026-05-15 01:45:22 +09:00
parent 8812bd870a
commit ace0339d33
74 changed files with 67 additions and 67 deletions

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import datetime as dt
import sqlite3
import pandas as pd
import pytest
from app.screener.engine import ScreenContext
from app.screener.schema import ensure_screener_schema
from app.screener._test_fixtures import make_master, make_prices, make_flow
@pytest.fixture
def conn(tmp_path):
db_path = tmp_path / "ctx.db"
c = sqlite3.connect(db_path)
ensure_screener_schema(c)
yield c
c.close()
def _seed(conn, master_df, prices_df, flow_df):
now = dt.datetime.utcnow().isoformat()
for t, row in master_df.iterrows():
conn.execute("""INSERT INTO krx_master (ticker,name,market,market_cap,
is_managed,is_preferred,is_spac,listed_date,updated_at)
VALUES (?,?,?,?,?,?,?,?,?)""",
(t, row["name"], row["market"], row["market_cap"],
row["is_managed"], row["is_preferred"], row["is_spac"], None, now))
prices_df.to_sql("krx_daily_prices", conn, if_exists="append", index=False)
flow_df.to_sql("krx_flow", conn, if_exists="append", index=False)
conn.commit()
def test_load_returns_dataframes(conn):
asof = dt.date(2026, 5, 12)
_seed(conn,
make_master(["005930", "035420"]),
make_prices(["005930", "035420"], days=30, asof=asof),
make_flow(["005930", "035420"], days=30, asof=asof))
ctx = ScreenContext.load(conn, asof, lookback_days=30)
assert ctx.asof == asof
assert set(ctx.master.index) == {"005930", "035420"}
assert ctx.prices.shape[0] == 60 # 2 종목 × 30일
assert ctx.flow.shape[0] == 60
def test_restrict_filters_tickers(conn):
asof = dt.date(2026, 5, 12)
_seed(conn,
make_master(["005930", "035420", "091990"]),
make_prices(["005930", "035420", "091990"], days=30, asof=asof),
make_flow(["005930", "035420", "091990"], days=30, asof=asof))
ctx = ScreenContext.load(conn, asof, lookback_days=30)
scoped = ctx.restrict(pd.Index(["005930"]))
assert list(scoped.master.index) == ["005930"]
assert (scoped.prices["ticker"] == "005930").all()
assert (scoped.flow["ticker"] == "005930").all()