import requests
from datetime import datetime


def get_weather_forecast(lat, lon, api_key, days=7):
    url = "http://api.weatherapi.com/v1/forecast.json"

    params = {
        "key": api_key,
        "q": f"{lat},{lon}",
        "days": days,
        "alerts": "no",
    }

    response = requests.get(url, params=params)

    if response.status_code != 200:
        print(
            f"Failed to retrieve the forecast data. Status code: {response.status_code}"
        )
        return {}

    data = response.json()
    all_weather_data = {}

    for day in data["forecast"]["forecastday"]:
        time = int(datetime.strptime(day["date"], "%Y-%m-%d").timestamp())

        hourly_data = day["hour"]

        # Calculate average cloud coverage
        total_cloud = sum(entry["cloud"] for entry in hourly_data)
        average_cloud = total_cloud / len(hourly_data)

        single_weather_data = {
            "summary": day["day"]["condition"]["text"],
            "precimax": day["day"].get("totalprecip_mm", "Not Available"),
            "precimaxtime": "Not Available",  # WeatherAPI doesn't provide this
            "preciprob": day["day"].get("daily_chance_of_rain", "Not Available"),
            "temphigh": day["day"]["maxtemp_c"],
            "temphightime": "Not Available",  # WeatherAPI doesn't provide this
            "templow": day["day"]["mintemp_c"],
            "templowtime": "Not Available",  # WeatherAPI doesn't provide this
            "cloudcover": average_cloud,
        }

        all_weather_data[time] = single_weather_data

    return all_weather_data


# Usage
api_key = "dd6e11f5d20e4694bed72932241007"
lat = 40.7128  # Example latitude (New York City)
lon = -74.0060  # Example longitude (New York City)
days = 7

data_new = get_weather_forecast(lat, lon, api_key)