firstgarden/static
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

DB에서 최근 날짜를 찾아 해당 날짜 다음날부터 전날까지의 대기정보를 받아 DB에 저장함.

Browse Source
This commit is contained in:
KWON
2025-07-04 17:59:59 +09:00
parent 4850cac24b
commit 82dcb70cb6
1 changed files with 100 additions and 66 deletions
Download Patch File Download Diff File Expand all files Collapse all files

166
lib/air_quality.py
View File

@ -1,22 +1,57 @@
import sys, os
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.exc import IntegrityError
from sqlalchemy.dialects.mysql import insert as mysql_insert
from lib import db
from lib import db_schema
def fetch_air_quality_data(date_str, api_key, station_name='운정'):
"""
API에서 지정된 날짜의 대기환경 데이터를 가져옴
"""
def test_num_of_rows(api_key, station_name='운정', date_str=None):
if date_str is None:
date_str = (datetime.now() - timedelta(days=1)).strftime('%Y%m%d')
max_rows = 500
min_rows = 100
while max_rows >= min_rows:
try:
url = "http://apis.data.go.kr/B552584/ArpltnStatsSvc/getMsrstnAcctoRDyrg"
params = {
'serviceKey': api_key,
'returnType': 'json',
'numOfRows': str(max_rows),
'pageNo': '1',
'inqBginDt': date_str,
'inqEndDt': date_str,
'msrstnName': station_name,
}
resp = requests.get(url, params=params, timeout=10)
resp.raise_for_status()
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
print("[WARN] 최소 numOfRows 값(100)도 실패했습니다. 기본값 100 사용")
return 100
def fetch_air_quality_data_range(start_date_str, end_date_str, api_key, num_of_rows=100, station_name='운정', page_no=1):
url = "http://apis.data.go.kr/B552584/ArpltnStatsSvc/getMsrstnAcctoRDyrg"
params = {
'serviceKey': api_key,
'returnType': 'json',
'numOfRows': '100',
'pageNo': '1',
'inqBginDt': date_str,
'inqEndDt': date_str,
'numOfRows': str(num_of_rows),
'pageNo': str(page_no),
'inqBginDt': start_date_str,
'inqEndDt': end_date_str,
'msrstnName': station_name,
}
@ -33,10 +68,7 @@ def fetch_air_quality_data(date_str, api_key, station_name='운정'):
print(f"[ERROR] JSON 파싱 실패: {e}")
return []
def save_data_to_db(items, conn, table, debug=False):
"""
대기환경 정보를 DB에 저장
"""
def save_data_to_db(items, conn, table, force_update=False, debug=False):
for item in items:
try:
item_date = datetime.strptime(item['msurDt'], '%Y-%m-%d').date()
@ -44,45 +76,40 @@ def save_data_to_db(items, conn, table, debug=False):
print(f"[ERROR] 날짜 파싱 오류: {item.get('msurDt')} → {e}")
continue
if debug:
print(f"[DEBUG] 처리 중: {item}")
# 중복 확인
sel = select(table.c.date).where(table.c.date == item_date)
try:
exists = conn.execute(sel).fetchone()
except Exception as e:
print(f"[ERROR] SELECT 오류: {e}")
continue
if exists:
if debug:
print(f"[DEBUG] {item_date} 이미 존재. 저장 생략")
continue
ins = table.insert().values(
date=item_date,
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,
co=float(item.get('coValue')) if item.get('coValue') else None,
no2=float(item.get('no2Value')) if item.get('no2Value') else None,
o3=float(item.get('o3Value')) if item.get('o3Value') else None,
)
data = {
'date': item_date,
'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,
'co': float(item.get('coValue')) if item.get('coValue') else None,
'no2': float(item.get('no2Value')) if item.get('no2Value') else None,
'o3': float(item.get('o3Value')) if item.get('o3Value') else None,
}
try:
conn.execute(ins)
if debug:
print(f"[DEBUG] {item_date} 저장 완료")
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)")
else:
sel = select(table.c.date).where(table.c.date == item_date)
exists = conn.execute(sel).fetchone()
if exists:
if debug:
print(f"[DEBUG] {item_date} 이미 존재. 저장 생략")
continue
ins = table.insert().values(**data)
conn.execute(ins)
if debug:
print(f"[DEBUG] {item_date} 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):
"""
테이블에서 가장 최근 날짜를 반환. 값이 없으면 None
"""
try:
sel = select(func.max(table.c.date))
result = conn.execute(sel).scalar()
@ -97,40 +124,47 @@ def main():
config = db.load_config()
api_key = config['air_quality_api']['service_key']
debug = config.get('debug', False)
force_update = config.get('force_update', False)
engine = db.engine
table = db_schema.fg_manager_static_air
with engine.connect() as conn:
latest_date = get_latest_date(conn, table)
trans = conn.begin()
try:
start_date = datetime.strptime("2017-01-01", "%Y-%m-%d").date()
end_date = (datetime.now() - timedelta(days=1)).date()
if latest_date is None:
start_date = datetime.strptime("2023-01-01", "%Y-%m-%d").date()
else:
start_date = latest_date + timedelta(days=1)
end_date = (datetime.now() - timedelta(days=1)).date()
if debug:
print(f"[DEBUG] 최신 DB 날짜: {latest_date}")
print(f"[DEBUG] 수집 시작일: {start_date}")
print(f"[DEBUG] 수집 종료일: {end_date}")
current_date = start_date
while current_date <= end_date:
date_str = current_date.strftime('%Y%m%d')
optimal_num_rows = test_num_of_rows(api_key, date_str=start_date.strftime('%Y%m%d'))
if debug:
print(f"[DEBUG] {date_str} 데이터 요청 중...")
print(f"[DEBUG] 최적 numOfRows 값: {optimal_num_rows}")
items = fetch_air_quality_data(date_str, api_key)
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
start_str = current_start.strftime('%Y%m%d')
end_str = current_end.strftime('%Y%m%d')
if items:
save_data_to_db(items, conn, table, debug=debug)
else:
if debug:
print(f"[DEBUG] {date_str} 데이터 없음")
print(f"[DEBUG] {start_str} ~ {end_str} 데이터 요청 중...")
current_date += timedelta(days=1)
items = fetch_air_quality_data_range(start_str, end_str, api_key, num_of_rows=optimal_num_rows)
if items:
save_data_to_db(items, conn, table, force_update=force_update, debug=debug)
else:
if debug:
print(f"[DEBUG] {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}")
if __name__ == '__main__':
main()