kma-data-api/extract_weather_data.py

97 lines
3.2 KiB
Python

import os
import requests
import csv
from datetime import datetime, timedelta
# 1. API 인증키 설정
def get_env_variable(var_name):
if os.path.exists(".env"):
with open(".env", "r") as f:
for line in f:
if "=" in line:
k, v = line.split("=", 1)
if k.strip() == var_name:
return v.strip()
return os.getenv(var_name)
API_KEY = get_env_variable("WEATHER_KEY") or get_env_variable("KMA_API_KEY")
# 2. 좌표 설정
TARGET_LAT = 34.92470
TARGET_LON = 127.71207
# 3. 시점 로드
def load_target_times(file_path):
times = []
if not os.path.exists(file_path): return []
with open(file_path, 'r') as f:
for line in f:
line = line.strip()
if not line: continue
try:
dt = datetime.strptime(line, "%Y-%m-%d: %H:%M")
times.append(dt)
except ValueError: continue
return times
target_times = load_target_times("visible-times.txt")
# 4. API 설정
BASE_URL = "https://apihub.kma.go.kr/api/typ01/url/sfc_nc_var.php"
OBS_ELEMENTS = "ta,hm,td,wd_10m,ws_10m,uu,vv,rn_ox,vs"
INTERVAL = 5
def fetch_data(t_time):
print(f"--- [{t_time.strftime('%Y-%m-%d %H:%M')}] 추출 중 ---")
start_time = t_time - timedelta(hours=1)
end_time = t_time + timedelta(hours=1)
queries = [(start_time, t_time), (t_time + timedelta(minutes=INTERVAL), end_time)]
extracted_data = []
for tm1, tm2 in queries:
params = {
"tm1": tm1.strftime("%Y%m%d%H%M"),
"tm2": tm2.strftime("%Y%m%d%H%M"),
"obs": OBS_ELEMENTS,
"itv": INTERVAL,
"lon": TARGET_LON,
"lat": TARGET_LAT,
"help": 0,
"authKey": API_KEY
}
try:
response = requests.get(BASE_URL, params=params, timeout=30)
response.raise_for_status()
for line in response.text.strip().split('\n'):
if line.startswith('#') or not line.strip(): continue
parts = [p.strip() for p in line.replace(',', ' ').split()]
if len(parts) >= 10:
extracted_data.append({
"tm": parts[0],
"ta": parts[1],
"hm": parts[2],
"td": parts[3],
"wd_10m": parts[4],
"ws_10m": parts[5],
"uu": parts[6],
"vv": parts[7],
"rn_ox": parts[8],
"vs": parts[9]
})
except Exception as e: print(f" Error: {e}")
if extracted_data:
extracted_data.sort(key=lambda x: x['tm'])
filename = f"weather_data_{t_time.strftime('%Y%m%d_%H%M')}.csv"
with open(filename, 'w', newline='', encoding='utf-8-sig') as f:
writer = csv.DictWriter(f, fieldnames=extracted_data[0].keys())
writer.writeheader()
writer.writerows(extracted_data)
print(f" >> 저장됨: {filename} ({len(extracted_data)}개)")
else:
print(f" >> 데이터 없음")
if __name__ == "__main__":
for t in target_times: fetch_data(t)