Backend Monitorink: serveur PNG (Claude usage + météo + HA)
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86
backend/integrations/weather.py
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86
backend/integrations/weather.py
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"""Météo via Open-Meteo (gratuit, sans clé API)."""
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from __future__ import annotations
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from dataclasses import dataclass
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import httpx
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from config import config
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API_URL = "https://api.open-meteo.com/v1/forecast"
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# Codes WMO -> (libellé court FR, emoji). Suffisant pour un dashboard e-ink.
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WMO = {
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0: ("Dégagé", "☀"),
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1: ("Peu nuageux", "🌤"),
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2: ("Nuageux", "⛅"),
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3: ("Couvert", "☁"),
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45: ("Brouillard", "🌫"),
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48: ("Brouillard givrant", "🌫"),
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51: ("Bruine légère", "🌦"),
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53: ("Bruine", "🌦"),
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55: ("Bruine forte", "🌦"),
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61: ("Pluie faible", "🌧"),
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63: ("Pluie", "🌧"),
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65: ("Pluie forte", "🌧"),
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71: ("Neige faible", "🌨"),
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73: ("Neige", "🌨"),
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75: ("Neige forte", "🌨"),
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80: ("Averses", "🌦"),
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81: ("Averses", "🌧"),
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82: ("Fortes averses", "⛈"),
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95: ("Orage", "⛈"),
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96: ("Orage + grêle", "⛈"),
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99: ("Orage + grêle", "⛈"),
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}
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@dataclass
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class Weather:
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ok: bool
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error: str | None = None
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temp: float | None = None
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feels_like: float | None = None
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label: str = ""
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icon: str = ""
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temp_min: float | None = None
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temp_max: float | None = None
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precip_prob: int | None = None
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async def fetch_weather() -> Weather:
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params = {
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"latitude": config.weather_lat,
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"longitude": config.weather_lon,
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"current": "temperature_2m,apparent_temperature,weather_code",
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"daily": "temperature_2m_max,temperature_2m_min,precipitation_probability_max",
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"timezone": config.timezone,
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"forecast_days": 1,
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}
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try:
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async with httpx.AsyncClient(timeout=15) as client:
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resp = await client.get(API_URL, params=params)
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resp.raise_for_status()
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data = resp.json()
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except httpx.HTTPError as exc:
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return Weather(ok=False, error=f"réseau: {exc}")
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cur = data.get("current", {})
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daily = data.get("daily", {})
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code = int(cur.get("weather_code", -1))
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label, icon = WMO.get(code, ("—", "·"))
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def _first(key: str):
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vals = daily.get(key) or []
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return vals[0] if vals else None
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return Weather(
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ok=True,
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temp=cur.get("temperature_2m"),
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feels_like=cur.get("apparent_temperature"),
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label=label,
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icon=icon,
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temp_min=_first("temperature_2m_min"),
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temp_max=_first("temperature_2m_max"),
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precip_prob=_first("precipitation_probability_max"),
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)
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