import requests

# -----------------------------------------------------------
# Geocode a text location (EX: "Boston, MA") using Nominatim
# -----------------------------------------------------------
def geocode_location(location):
    url = "https://nominatim.openstreetmap.org/search"
    params = {
        "q": location,
        "format": "json",
        "limit": 1
    }

    response = requests.get(url, params=params, timeout=5)
    data = response.json()

    if not data:
        raise ValueError(f"Could not geocode location: {location}")

    return {
        "lat": float(data[0]["lat"]),
        "lng": float(data[0]["lon"])
    }


# -----------------------------------------------------------
# Estimate user's coordinates using IP geolocation
# -----------------------------------------------------------
def estimate_location():
    """Estimate user's location using IP-based geolocation."""
    try:
        response = requests.get("https://ipinfo.io/json", timeout=5)
        data = response.json()

        if "loc" not in data:
            raise RuntimeError("IP lookup returned no coordinates.")

        lat_str, lng_str = data["loc"].split(",")

        return {
            "lat": float(lat_str),
            "lng": float(lng_str)
        }
    except Exception as e:
        raise RuntimeError(f"Could not estimate location: {e}")


# -----------------------------------------------------------
# Get the nearest weather office from NOAA API
# -----------------------------------------------------------
def get_weather_office(lat, lng):
    url = f"https://api.weather.gov/points/{lat},{lng}"
    response = requests.get(url, timeout=5)
    data = response.json()

    props = data["properties"]
    return {
        "office": props["gridId"],
        "x": props["gridX"],
        "y": props["gridY"]
    }


# -----------------------------------------------------------
# Get NOAA forecast
# -----------------------------------------------------------
def get_forecast(office, x, y, metric=False):
    url = f"https://api.weather.gov/gridpoints/{office}/{x},{y}/forecast"
    response = requests.get(url, timeout=5)
    data = response.json()

    periods = data["properties"]["periods"]

    # Convert NOAA data to your class format
    forecast = []
    for p in periods:
        forecast.append({
            "name": p["name"],
            "description": p["detailedForecast"],
            "temperature": p["temperature"] if not metric else round((p["temperature"] - 32) * 5/9),
            "wind_speed": p["windSpeed"],
            "wind_direction": p["windDirection"]
        })

    return forecast