Files
QuantEngineByItz/tests/unit/test_data_collection_store_v1.py
T
kjh2064 4cb206a269 KIS Open API 조회전용 연동 + 직접매매 절대금지 안전게이트
매수/매도 주문 및 계좌 잔고조회를 API로 직접 실행하지 않는다는 원칙을
코드 레벨에서 강제하는 안전게이트(governance/rules/06, 07)와 함께,
시세/호가/공매도거래비중 등 조회전용 KIS Open API 연동 및 SQLite
수집 파이프라인을 추가한다.

- kis_api_client_v1: 모든 요청이 _assert_read_only를 통과해야 하며
  /trading/ 경로·주문 TR_ID는 RuntimeError로 즉시 차단
- kis_data_collection_v1: KIS 우선 + Naver 폴백, 네트워크 실패는
  개별 ticker 단위로 흡수(배치 전체 중단 없음)
- data_collection_store_v1 / storage_backend_v1: SQLite 캐노니컬
  저장소, PostgreSQL 전환 대비 백엔드 추상화
- Gitea 영업일 스케줄(2시간 간격) + CI 강제 게이트
  (validate_no_direct_api_trading_v1, validate_kis_api_credentials_v1)
2026-06-21 20:04:44 +09:00

111 lines
3.5 KiB
Python

from __future__ import annotations
import sqlite3
import sys
from pathlib import Path
ROOT = Path(__file__).resolve().parents[2]
if str(ROOT) not in sys.path:
sys.path.insert(0, str(ROOT))
from src.quant_engine.data_collection_store_v1 import (
CollectionRun,
append_collection_error,
fetch_latest_snapshots,
init_db,
iter_recent_snapshots,
upsert_collection_run,
upsert_collection_snapshot,
)
from src.quant_engine.data_collection_backend_v1 import CollectionStoreSpec, normalize_store_spec
def test_store_writes_and_reads_snapshots(tmp_path):
db_path = tmp_path / "collector.db"
init_db(db_path)
upsert_collection_run(
db_path,
CollectionRun(
run_id="run-1",
collector_name="collector",
started_at="2026-06-21T12:00:00+09:00",
status="RUNNING",
input_source="GatherTradingData.json",
output_json_path="Temp/kis_data_collection_v1.json",
output_db_path=str(db_path),
),
)
upsert_collection_snapshot(
db_path,
run_id="run-1",
dataset_name="data_feed",
ticker="005930",
name="삼성전자",
sector="반도체",
as_of_date="2026-06-21",
source_priority="kis_open_api>gathertradingdata_json",
source_status="OK",
payload={"ticker": "005930", "close": 1000},
provenance={"kis": {"status": "OK"}},
)
append_collection_error(
db_path,
run_id="run-1",
source_name="kis",
error_kind="TimeoutError",
error_message="timeout",
ticker="005930",
)
conn = sqlite3.connect(db_path)
try:
run_count = conn.execute("SELECT COUNT(*) FROM collection_runs").fetchone()[0]
snap_count = conn.execute("SELECT COUNT(*) FROM collection_snapshots").fetchone()[0]
err_count = conn.execute("SELECT COUNT(*) FROM collection_source_errors").fetchone()[0]
finally:
conn.close()
assert run_count == 1
assert snap_count == 1
assert err_count == 1
assert fetch_latest_snapshots(db_path, "005930")[0]["dataset_name"] == "data_feed"
assert len(list(iter_recent_snapshots(db_path, limit=5))) == 1
def test_store_overwrites_same_run_and_ticker(tmp_path):
db_path = tmp_path / "collector.db"
upsert_collection_snapshot(
db_path,
run_id="run-1",
dataset_name="data_feed",
ticker="005930",
name="삼성전자",
sector="반도체",
as_of_date="2026-06-21",
source_priority="kis_open_api",
source_status="OK",
payload={"ticker": "005930", "close": 1000},
provenance={"source_priority": ["kis_open_api"]},
)
upsert_collection_snapshot(
db_path,
run_id="run-1",
dataset_name="data_feed",
ticker="005930",
name="삼성전자",
sector="반도체",
as_of_date="2026-06-21",
source_priority="kis_open_api>naver_finance",
source_status="OK",
payload={"ticker": "005930", "close": 2000},
provenance={"source_priority": ["kis_open_api", "naver_finance"]},
)
rows = fetch_latest_snapshots(db_path, "005930")
assert rows[0]["source_priority"] == "kis_open_api>naver_finance"
def test_store_backend_normalization_supports_sqlite_paths(tmp_path):
backend, location = normalize_store_spec(CollectionStoreSpec(location=tmp_path / "collector.db"), ROOT)
assert backend == "sqlite"
assert str(location).endswith("collector.db")