196 lines
8.8 KiB
Python
196 lines
8.8 KiB
Python
import time
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import math
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import datetime
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from typing import Dict, Any, Optional
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import httpx
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# 주요 한국 도시 좌표 목록
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KOREAN_CITIES = [
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{"name": "서울", "lat": 37.5665, "lon": 126.9780},
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{"name": "인천", "lat": 37.4563, "lon": 126.7052},
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{"name": "수원", "lat": 37.2636, "lon": 127.0286},
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{"name": "춘천", "lat": 37.8813, "lon": 127.7298},
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{"name": "강릉", "lat": 37.7519, "lon": 128.8761},
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{"name": "대전", "lat": 36.3504, "lon": 127.3845},
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{"name": "세종", "lat": 36.4800, "lon": 127.2890},
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{"name": "청주", "lat": 36.6424, "lon": 127.4890},
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{"name": "대구", "lat": 35.8714, "lon": 128.6014},
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{"name": "포항", "lat": 36.0190, "lon": 129.3435},
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{"name": "전주", "lat": 35.8242, "lon": 127.1480},
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{"name": "광주", "lat": 35.1595, "lon": 126.8526},
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{"name": "부산", "lat": 35.1796, "lon": 129.0756},
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{"name": "울산", "lat": 35.5384, "lon": 129.3114},
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{"name": "창원", "lat": 35.2280, "lon": 128.6811},
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{"name": "제주", "lat": 33.4996, "lon": 126.5312},
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]
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def find_nearest_city(lat: float, lon: float) -> str:
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closest = min(
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KOREAN_CITIES,
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key=lambda c: (c["lat"] - lat) ** 2 + (c["lon"] - lon) ** 2
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)
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dist_sq = (closest["lat"] - lat) ** 2 + (closest["lon"] - lon) ** 2
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# 약 50km 이내이면 해당 도시명 반환
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if dist_sq < 0.25:
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return closest["name"]
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return "현재 위치"
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# WMO Weather interpretation code (WW)
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# https://open-meteo.com/en/docs
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WMO_MAP = {
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0: ("맑음", "mdi-weather-sunny", "mdi-weather-night", "amber-darken-1", "indigo-lighten-2"),
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1: ("대체로 맑음", "mdi-weather-partly-cloudy", "mdi-weather-night-partly-cloudy", "amber-darken-2", "indigo-lighten-3"),
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2: ("구름 조금", "mdi-weather-partly-cloudy", "mdi-weather-partly-cloudy", "blue-grey-lighten-1", "blue-grey-lighten-1"),
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3: ("흐림", "mdi-weather-cloudy", "mdi-weather-cloudy", "grey-darken-1", "grey-darken-1"),
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45: ("안개", "mdi-weather-fog", "mdi-weather-fog", "blue-grey", "blue-grey"),
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48: ("서리 안개", "mdi-weather-fog", "mdi-weather-fog", "blue-grey", "blue-grey"),
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51: ("약한 이슬비", "mdi-weather-rainy", "mdi-weather-rainy", "light-blue", "light-blue"),
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53: ("이슬비", "mdi-weather-rainy", "mdi-weather-rainy", "light-blue-darken-1", "light-blue-darken-1"),
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55: ("강한 이슬비", "mdi-weather-rainy", "mdi-weather-rainy", "blue-darken-1", "blue-darken-1"),
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56: ("약한 어는 이슬비", "mdi-weather-snowy-rainy", "mdi-weather-snowy-rainy", "cyan", "cyan"),
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57: ("강한 어는 이슬비", "mdi-weather-snowy-rainy", "mdi-weather-snowy-rainy", "cyan-darken-1", "cyan-darken-1"),
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61: ("약한 비", "mdi-weather-rainy", "mdi-weather-rainy", "blue", "blue"),
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63: ("비", "mdi-weather-rainy", "mdi-weather-rainy", "blue-darken-1", "blue-darken-1"),
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65: ("강한 비", "mdi-weather-pouring", "mdi-weather-pouring", "blue-darken-3", "blue-darken-3"),
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66: ("약한 어는 비", "mdi-weather-snowy-rainy", "mdi-weather-snowy-rainy", "cyan", "cyan"),
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67: ("강한 어는 비", "mdi-weather-snowy-rainy", "mdi-weather-snowy-rainy", "cyan-darken-2", "cyan-darken-2"),
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71: ("약한 눈", "mdi-weather-snowy", "mdi-weather-snowy", "light-blue-lighten-3", "light-blue-lighten-3"),
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73: ("눈", "mdi-weather-snowy", "mdi-weather-snowy", "light-blue-lighten-2", "light-blue-lighten-2"),
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75: ("강한 눈", "mdi-weather-snowy-heavy", "mdi-weather-snowy-heavy", "blue-lighten-4", "blue-lighten-4"),
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77: ("싸락눈", "mdi-weather-snowy", "mdi-weather-snowy", "light-blue-lighten-1", "light-blue-lighten-1"),
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80: ("약한 소나기", "mdi-weather-partly-rainy", "mdi-weather-partly-rainy", "blue", "blue"),
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81: ("소나기", "mdi-weather-partly-rainy", "mdi-weather-partly-rainy", "blue-darken-1", "blue-darken-1"),
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82: ("강한 소나기", "mdi-weather-pouring", "mdi-weather-pouring", "blue-darken-2", "blue-darken-2"),
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85: ("약한 눈 소나기", "mdi-weather-snowy", "mdi-weather-snowy", "light-blue", "light-blue"),
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86: ("강한 눈 소나기", "mdi-weather-snowy-heavy", "mdi-weather-snowy-heavy", "blue-lighten-3", "blue-lighten-3"),
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95: ("뇌우", "mdi-weather-lightning", "mdi-weather-lightning", "deep-purple", "deep-purple"),
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96: ("뇌우 및 우박", "mdi-weather-lightning-rainy", "mdi-weather-lightning-rainy", "deep-purple-darken-2", "deep-purple-darken-2"),
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99: ("강한 뇌우 및 우박", "mdi-weather-lightning-rainy", "mdi-weather-lightning-rainy", "deep-purple-darken-3", "deep-purple-darken-3"),
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}
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def resolve_weather_style(code: int, is_day: int = 1):
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info = WMO_MAP.get(code)
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if not info:
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return {
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"text": "흐림",
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"icon": "mdi-weather-cloudy",
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"color": "grey"
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}
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text, day_icon, night_icon, day_color, night_color = info
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return {
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"text": text,
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"icon": day_icon if is_day else night_icon,
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"color": day_color if is_day else night_color,
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}
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# 캐시 저장소: (lat, lon) -> (timestamp, data)
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_cache: Dict[str, Any] = {}
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CACHE_TTL = 900 # 15분
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KOREAN_WEEKDAYS = ["월", "화", "수", "목", "금", "토", "일"]
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async def get_weather_forecast(lat: float = 37.5665, lon: float = 126.9780) -> Dict[str, Any]:
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cache_key = f"{round(lat, 2)}_{round(lon, 2)}"
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now = time.time()
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if cache_key in _cache:
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cached_time, cached_data = _cache[cache_key]
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if now - cached_time < CACHE_TTL:
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return cached_data
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url = (
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f"https://api.open-meteo.com/v1/forecast"
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f"?latitude={lat}&longitude={lon}"
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f"¤t=temperature_2m,relative_humidity_2m,apparent_temperature,is_day,precipitation,weather_code,wind_speed_10m"
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f"&daily=weather_code,temperature_2m_max,temperature_2m_min,precipitation_probability_max"
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f"&timezone=auto"
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)
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try:
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async with httpx.AsyncClient(timeout=10.0) as client:
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resp = await client.get(url)
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resp.raise_for_status()
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data = resp.json()
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except Exception as e:
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# 캐시가 만료되었더라도 기존 캐시가 있으면 반환
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if cache_key in _cache:
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return _cache[cache_key][1]
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raise e
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current_raw = data.get("current", {})
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daily_raw = data.get("daily", {})
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is_day = current_raw.get("is_day", 1)
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current_code = current_raw.get("weather_code", 0)
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current_style = resolve_weather_style(current_code, is_day)
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current_formatted = {
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"temperature": round(current_raw.get("temperature_2m", 0.0), 1),
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"apparent_temperature": round(current_raw.get("apparent_temperature", 0.0), 1),
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"humidity": current_raw.get("relative_humidity_2m", 0),
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"wind_speed": round(current_raw.get("wind_speed_10m", 0.0), 1),
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"precipitation": current_raw.get("precipitation", 0.0),
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"weather_code": current_code,
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"weather_text": current_style["text"],
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"icon": current_style["icon"],
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"color": current_style["color"],
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"is_day": bool(is_day),
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"time": current_raw.get("time"),
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}
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daily_list = []
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dates = daily_raw.get("time", [])
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weather_codes = daily_raw.get("weather_code", [])
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temps_max = daily_raw.get("temperature_2m_max", [])
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temps_min = daily_raw.get("temperature_2m_min", [])
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precip_probs = daily_raw.get("precipitation_probability_max", [])
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for i in range(len(dates)):
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date_str = dates[i]
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try:
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dt = datetime.date.fromisoformat(date_str)
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weekday_kr = KOREAN_WEEKDAYS[dt.weekday()]
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if i == 0:
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day_label = "오늘"
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elif i == 1:
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day_label = "내일"
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else:
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day_label = f"{weekday_kr}요일"
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formatted_date = f"{dt.month}.{dt.day} ({weekday_kr})"
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except Exception:
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day_label = date_str
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formatted_date = date_str
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code = weather_codes[i] if i < len(weather_codes) else 0
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style = resolve_weather_style(code, 1)
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daily_list.append({
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"date": date_str,
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"day_label": day_label,
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"formatted_date": formatted_date,
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"weather_code": code,
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"weather_text": style["text"],
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"icon": style["icon"],
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"color": style["color"],
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"temp_max": round(temps_max[i], 1) if i < len(temps_max) else 0.0,
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"temp_min": round(temps_min[i], 1) if i < len(temps_min) else 0.0,
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"precipitation_prob": precip_probs[i] if i < len(precip_probs) else 0,
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})
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city_name = find_nearest_city(lat, lon)
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result = {
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"location": {
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"name": city_name,
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"lat": lat,
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"lon": lon,
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},
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"current": current_formatted,
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"daily": daily_list,
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"updated_at": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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}
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_cache[cache_key] = (now, result)
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return result
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