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기상정보 부분에서 '운정' 기본값인 부분을 config에서 정의하도록 하고, 해당 값을 딕셔너리로 받아서 여러 지역정보를 업데이트할 수 있도록 수정함.

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KWON
2025-07-07 13:35:27 +09:00
parent 58d650eabb
commit 113e5b8460
1 changed files with 38 additions and 39 deletions
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77
lib/air_quality.py
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@ -3,13 +3,11 @@ sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
import requests
from datetime import datetime, timedelta
from sqlalchemy import select, func
from sqlalchemy import select, func, and_
from sqlalchemy.exc import IntegrityError
from sqlalchemy.dialects.mysql import insert as mysql_insert
from lib import db
from lib import db_schema
from conf import db, db_schema
def test_num_of_rows(api_key, station_name, date_str=None):
if date_str is None:
@ -35,7 +33,6 @@ def test_num_of_rows(api_key, station_name, date_str=None):
resp.json()
print(f"[INFO] numOfRows 최대값 탐색 성공: {max_rows}")
return max_rows
except (requests.RequestException, ValueError) as e:
print(f"[WARN] numOfRows={max_rows} 에러 발생: {e}, 100 감소 후 재시도")
max_rows -= 100
@ -68,7 +65,7 @@ def fetch_air_quality_data_range(start_date_str, end_date_str, api_key, station_
print(f"[ERROR] JSON 파싱 실패: {e}")
return []
def save_data_to_db(items, conn, table, force_update=False, debug=False):
def save_data_to_db(items, conn, table, station, force_update=False, debug=False):
for item in items:
try:
item_date = datetime.strptime(item['msurDt'], '%Y-%m-%d').date()
@ -78,6 +75,7 @@ def save_data_to_db(items, conn, table, force_update=False, debug=False):
data = {
'date': item_date,
'station': station,
'pm25': float(item.get('pm25Value')) if item.get('pm25Value') else None,
'pm10': float(item.get('pm10Value')) if item.get('pm10Value') else None,
'so2': float(item.get('so2Value')) if item.get('so2Value') else None,
@ -87,34 +85,35 @@ def save_data_to_db(items, conn, table, force_update=False, debug=False):
}
try:
if debug:
print(f"[DEBUG] {item_date} [{station}] → DB 저장 시도: {data}")
continue
if force_update:
stmt = mysql_insert(table).values(**data)
on_duplicate_stmt = stmt.on_duplicate_key_update(**data)
conn.execute(on_duplicate_stmt)
if debug:
print(f"[DEBUG] {item_date} 저장/업데이트 완료 (강제업데이트)")
print(f"[INFO] {item_date} [{station}] 저장/업데이트 완료 (강제업데이트)")
else:
sel = select(table.c.date).where(table.c.date == item_date)
sel = select(table.c.date).where(and_(table.c.date == item_date, table.c.station == station))
exists = conn.execute(sel).fetchone()
if exists:
if debug:
print(f"[DEBUG] {item_date} 이미 존재. 저장 생략")
print(f"[INFO] {item_date} [{station}] 이미 존재. 저장 생략")
continue
ins = table.insert().values(**data)
conn.execute(ins)
if debug:
print(f"[DEBUG] {item_date} 저장 완료")
print(f"[INFO] {item_date} [{station}] 저장 완료")
except IntegrityError as e:
print(f"[ERROR] DB 중복 오류: {e}")
except Exception as e:
print(f"[ERROR] DB 저장 실패: {e}")
def get_latest_date(conn, table):
def get_latest_date(conn, table, station):
try:
sel = select(func.max(table.c.date))
sel = select(func.max(table.c.date)).where(table.c.station == station)
result = conn.execute(sel).scalar()
if result is None:
print("[INFO] 테이블에 데이터가 없습니다.")
print(f"[INFO] {station}: 테이블에 데이터가 없습니다.")
return result
except Exception as e:
print(f"[ERROR] 가장 최근 날짜 조회 실패: {e}")
@ -123,49 +122,49 @@ def get_latest_date(conn, table):
def main():
config = db.load_config()
api_key = config['DATA_API']['serviceKey']
station_name = config['DATA_API']['air']['station_name']
station_list = config['DATA_API']['air']['station_name']
debug = config.get('debug', False)
force_update = config.get('force_update', False)
config_start_date = datetime.strptime(config['DATA_API']['startDt'], '%Y%m%d').date()
yesterday = (datetime.now() - timedelta(days=1)).date()
engine = db.engine
table = db_schema.fg_manager_static_air
with engine.connect() as conn:
trans = conn.begin()
try:
start_date = datetime.strptime("2020-01-01", "%Y-%m-%d").date()
end_date = (datetime.now() - timedelta(days=1)).date()
for station_name in station_list:
print(f"\n[INFO] 측정소: {station_name}")
optimal_num_rows = test_num_of_rows(api_key, date_str=start_date.strftime('%Y%m%d'))
if debug:
print(f"[DEBUG] 최적 numOfRows 값: {optimal_num_rows}")
latest_date = get_latest_date(conn, table, station_name)
if latest_date:
start_date = max(config_start_date, latest_date + timedelta(days=1))
else:
start_date = config_start_date
if start_date > yesterday:
print(f"[INFO] {station_name}: 최신 데이터가 이미 존재합니다. ({latest_date})")
continue
optimal_num_rows = test_num_of_rows(api_key, station_name=station_name, date_str=start_date.strftime('%Y%m%d'))
print(f"[INFO] 최적 numOfRows: {optimal_num_rows}")
current_start = start_date
while current_start <= end_date:
current_end = current_start + timedelta(days=optimal_num_rows - 1)
if current_end > end_date:
current_end = end_date
while current_start <= yesterday:
current_end = min(current_start + timedelta(days=optimal_num_rows - 1), yesterday)
start_str = current_start.strftime('%Y%m%d')
end_str = current_end.strftime('%Y%m%d')
if debug:
print(f"[DEBUG] {start_str} ~ {end_str} 데이터 요청 중...")
print(f"[INFO] {station_name}: {start_str} ~ {end_str} 데이터 요청 중...")
items = fetch_air_quality_data_range(start_str, end_str, api_key, station_name, num_of_rows=optimal_num_rows)
if items:
save_data_to_db(items, conn, table, force_update=force_update, debug=debug)
save_data_to_db(items, conn, table, station=station_name, force_update=force_update, debug=debug)
else:
if debug:
print(f"[DEBUG] {start_str} ~ {end_str} 데이터 없음")
print(f"[INFO] {station_name}: {start_str} ~ {end_str} 데이터 없음")
current_start = current_end + timedelta(days=1)
trans.commit()
except Exception as e:
trans.rollback()
print(f"[ERROR] 트랜잭션 처리 중 오류 발생: {e}")
print("[INFO] 모든 측정소 데이터 처리 완료")
if __name__ == '__main__':
main()