#!/usr/bin/env python3
"""
Hämta väderdata från SMHI
"""
import requests
import sqlite3
from datetime import datetime

DB_PATH = "/home/bernt/.openclaw/workspace/rivp-pilot-1/rivp.db"

def fetch_temperature(station_id="97530"):
    """Hämta temperatur från SMHI"""
    url = f"https://opendata-download-metobs.smhi.se/api/version/latest/parameter/1/station/{station_id}/period/latest-hour/data.json"
    
    try:
        response = requests.get(url, timeout=30)
        if response.status_code == 200:
            data = response.json()
            values = data.get("value", [])
            if values:
                latest = values[-1]
                return {
                    "station": data["station"]["name"],
                    "temperature": float(latest["value"]),
                    "timestamp": latest["date"]
                }
    except Exception as e:
        print(f"Fel: {e}")
    
    return None

def fetch_precipitation(station_id="97530"):
    """Hämta nederbörd från SMHI"""
    url = f"https://opendata-download-metobs.smhi.se/api/version/latest/parameter/7/station/{station_id}/period/latest-day/data.json"
    
    try:
        response = requests.get(url, timeout=30)
        if response.status_code == 200:
            data = response.json()
            values = data.get("value", [])
            if values:
                total = sum(float(v["value"]) for v in values if float(v["value"]) >= 0)
                return {
                    "station": data["station"]["name"],
                    "precipitation_mm": total
                }
    except Exception as e:
        print(f"Fel: {e}")
    
    return None

def save_weather_observation(road_id, weather_type, value, severity, source="smhi_real"):
    """Spara väderobservation"""
    conn = sqlite3.connect(DB_PATH)
    c = conn.cursor()
    
    c.execute('''
        INSERT INTO observations 
        (road_id, observation_type, latitude, longitude, confidence, severity, detected_date, source)
        VALUES (?, ?, ?, ?, ?, ?, ?, ?)
    ''', (
        road_id,
        weather_type,
        59.85,  # Uppsala lat
        17.65,  # Uppsala lon
        0.95,
        severity,
        datetime.now().strftime('%Y-%m-%d'),
        source
    ))
    
    conn.commit()
    conn.close()

if __name__ == "__main__":
    temp = fetch_temperature()
    precip = fetch_precipitation()
    
    if temp:
        print(f"Temperatur: {temp['temperature']}°C")
    if precip:
        print(f"Nederbörd: {precip['precipitation_mm']}mm")