feat: add ETF data collectors and admin API endpoints

Add ETFCollector (KRX master data) and ETFPriceCollector (pykrx OHLCV)
with corresponding admin API endpoints and frontend collection UI buttons.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
zephyrdark 2026-02-08 23:00:27 +09:00
parent 72c72994b2
commit ecb3dca571
5 changed files with 253 additions and 1 deletions

View File

@ -16,6 +16,8 @@ from app.services.collectors import (
SectorCollector,
PriceCollector,
ValuationCollector,
ETFCollector,
ETFPriceCollector,
)
router = APIRouter(prefix="/api/admin", tags=["admin"])
@ -112,6 +114,42 @@ async def collect_valuations(
raise HTTPException(status_code=500, detail=str(e))
@router.post("/collect/etfs", response_model=CollectResponse)
async def collect_etfs(
current_user: CurrentUser,
db: Session = Depends(get_db),
):
"""Collect ETF master data from KRX."""
try:
collector = ETFCollector(db)
job_log = collector.run()
return CollectResponse(
message=f"ETF collection completed: {job_log.records_count} records",
job_id=job_log.id,
)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@router.post("/collect/etf-prices", response_model=CollectResponse)
async def collect_etf_prices(
current_user: CurrentUser,
db: Session = Depends(get_db),
start_date: str = Query(None, pattern=r"^\d{8}$", description="Start date in YYYYMMDD format"),
end_date: str = Query(None, pattern=r"^\d{8}$", description="End date in YYYYMMDD format"),
):
"""Collect ETF price data using pykrx."""
try:
collector = ETFPriceCollector(db, start_date=start_date, end_date=end_date)
job_log = collector.run()
return CollectResponse(
message=f"ETF price collection completed: {job_log.records_count} records",
job_id=job_log.id,
)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@router.get("/collect/status", response_model=List[JobLogResponse])
async def get_collection_status(
current_user: CurrentUser,

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@ -3,6 +3,8 @@ from app.services.collectors.stock_collector import StockCollector
from app.services.collectors.sector_collector import SectorCollector
from app.services.collectors.price_collector import PriceCollector
from app.services.collectors.valuation_collector import ValuationCollector
from app.services.collectors.etf_collector import ETFCollector
from app.services.collectors.etf_price_collector import ETFPriceCollector
__all__ = [
"BaseCollector",
@ -10,4 +12,6 @@ __all__ = [
"SectorCollector",
"PriceCollector",
"ValuationCollector",
"ETFCollector",
"ETFPriceCollector",
]

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@ -0,0 +1,92 @@
"""
ETF master data collector from KRX.
"""
import logging
import pandas as pd
from pykrx.website.krx.etf.core import ETF_전종목기본종목
from sqlalchemy.orm import Session
from sqlalchemy.dialects.postgresql import insert
from app.services.collectors.base import BaseCollector
from app.models.stock import ETF, AssetClass
logger = logging.getLogger(__name__)
class ETFCollector(BaseCollector):
"""Collects ETF master data from KRX."""
def __init__(self, db: Session):
super().__init__(db)
def _classify_asset_class(self, asset_class_str: str, name: str) -> str:
"""Classify ETF asset class."""
if not asset_class_str or pd.isna(asset_class_str):
return AssetClass.MIXED.value
if "주식" in asset_class_str:
return AssetClass.EQUITY.value
elif "채권" in asset_class_str:
return AssetClass.BOND.value
elif "부동산" in asset_class_str:
return AssetClass.EQUITY.value
elif "원자재" in asset_class_str:
name_lower = name if name else ""
if "" in name_lower or "골드" in name_lower:
return AssetClass.GOLD.value
return AssetClass.MIXED.value
else:
return AssetClass.MIXED.value
def collect(self) -> int:
"""Collect ETF master data."""
df = ETF_전종목기본종목().read()
if df.empty:
logger.warning("No ETF data returned from KRX.")
return 0
records = []
for _, row in df.iterrows():
ticker = row.get("ISU_SRT_CD")
name = row.get("ISU_ABBRV")
if not ticker or pd.isna(ticker) or not name or pd.isna(name):
continue
asset_class_str = row.get("IDX_ASST_CLSS_NM", "")
market = row.get("IDX_MKT_CLSS_NM", "")
expense_ratio_raw = row.get("ETF_TOT_FEE")
expense_ratio = None
if expense_ratio_raw and not pd.isna(expense_ratio_raw):
try:
expense_ratio = float(expense_ratio_raw)
except (ValueError, TypeError):
pass
records.append({
"ticker": ticker,
"name": name,
"asset_class": self._classify_asset_class(asset_class_str, name),
"market": market if market and not pd.isna(market) else "",
"expense_ratio": expense_ratio,
})
if records:
stmt = insert(ETF).values(records)
stmt = stmt.on_conflict_do_update(
index_elements=["ticker"],
set_={
"name": stmt.excluded.name,
"asset_class": stmt.excluded.asset_class,
"market": stmt.excluded.market,
"expense_ratio": stmt.excluded.expense_ratio,
},
)
self.db.execute(stmt)
self.db.commit()
logger.info(f"Collected {len(records)} ETF records")
return len(records)

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@ -0,0 +1,116 @@
"""
ETF price data collector using pykrx.
"""
import logging
from datetime import datetime, timedelta
import pandas as pd
from pykrx import stock as pykrx_stock
from sqlalchemy.orm import Session
from sqlalchemy.dialects.postgresql import insert
from app.services.collectors.base import BaseCollector
from app.models.stock import ETFPrice, ETF
logger = logging.getLogger(__name__)
class ETFPriceCollector(BaseCollector):
"""Collects daily ETF price data."""
def __init__(self, db: Session, start_date: str = None, end_date: str = None):
super().__init__(db)
self.end_date = end_date or datetime.now().strftime("%Y%m%d")
self.start_date = start_date or (
datetime.now() - timedelta(days=7)
).strftime("%Y%m%d")
self._validate_dates()
def _validate_dates(self) -> None:
"""Validate date formats."""
for date_str, name in [(self.start_date, "start_date"), (self.end_date, "end_date")]:
try:
datetime.strptime(date_str, "%Y%m%d")
except ValueError:
raise ValueError(f"Invalid {name} format. Expected YYYYMMDD, got: {date_str}")
def _safe_float(self, value) -> float | None:
"""Safely convert value to float."""
if pd.isna(value):
return None
try:
return float(value)
except (ValueError, TypeError):
return None
def _safe_int(self, value) -> int | None:
"""Safely convert value to int."""
if pd.isna(value):
return None
try:
return int(float(value))
except (ValueError, TypeError):
return None
def collect(self) -> int:
"""Collect price data for all ETFs."""
tickers = self.db.query(ETF.ticker).all()
ticker_list = [t[0] for t in tickers]
if not ticker_list:
logger.warning("No ETFs found in database. Run ETFCollector first.")
return 0
total_records = 0
logger.info(f"Collecting ETF prices for {len(ticker_list)} ETFs from {self.start_date} to {self.end_date}")
for ticker in ticker_list:
try:
df = pykrx_stock.get_etf_ohlcv_by_date(
self.start_date, self.end_date, ticker
)
if df.empty:
continue
df = df.reset_index()
records = []
for _, row in df.iterrows():
close_val = self._safe_float(row.get("종가"))
if close_val is None:
continue
nav_val = self._safe_float(row.get("NAV"))
volume_val = self._safe_int(row.get("거래량"))
date_value = row["날짜"].date() if hasattr(row["날짜"], "date") else row["날짜"]
records.append({
"ticker": ticker,
"date": date_value,
"close": close_val,
"nav": nav_val,
"volume": volume_val,
})
if records:
stmt = insert(ETFPrice).values(records)
stmt = stmt.on_conflict_do_update(
index_elements=["ticker", "date"],
set_={
"close": stmt.excluded.close,
"nav": stmt.excluded.nav,
"volume": stmt.excluded.volume,
},
)
self.db.execute(stmt)
self.db.commit()
total_records += len(records)
except Exception as e:
self.db.rollback()
logger.warning(f"Failed to fetch ETF prices for {ticker}: {e}")
continue
logger.info(f"Collected {total_records} ETF price records")
return total_records

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@ -22,6 +22,8 @@ const collectors = [
{ key: 'sectors', label: '섹터 정보', description: 'WISEindex에서 섹터 분류 수집' },
{ key: 'prices', label: '가격 데이터', description: 'pykrx로 OHLCV 데이터 수집' },
{ key: 'valuations', label: '밸류 지표', description: 'KRX에서 PER/PBR 등 수집' },
{ key: 'etfs', label: 'ETF 마스터', description: 'KRX에서 ETF 종목 정보 수집' },
{ key: 'etf-prices', label: 'ETF 가격', description: 'pykrx로 ETF 가격 데이터 수집' },
];
export default function DataManagementPage() {
@ -110,7 +112,7 @@ export default function DataManagementPage() {
<CardTitle> </CardTitle>
</CardHeader>
<CardContent>
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-4 gap-4">
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-4">
{collectors.map((col) => (
<div
key={col.key}