#!/usr/bin/env python3
""" Get weatherdata from yr.no """

import os
import sys

import common
import requests

location = int(os.environ["el_location"])
lat = str(os.environ["el_yr_lat"])
lon = str(os.environ["el_yr_lon"])

apiUrl = (
    "https://api.met.no/weatherapi/locationforecast/2.0/compact?lat="
    + lat
    + "&lon="
    + lon
)

### Get the data
try:
    url = apiUrl

    # Request headers
    hdr = {
        "User-Agent": "gratis.morell@litepost.no",
        "Cache-Control": "no-cache",
    }

    response = requests.get(url, headers=hdr, timeout=10)
    if response.status_code != 200:
        print(response.status_code)
        print("Oh shit")
        response.raise_for_status()

except requests.exceptions.RequestException as e:
    print("oh lol")
    sys.exit(e)

data = response.json()


### insert data into database

values = []
for item in data["properties"]["timeseries"]:
    details = item["data"]["instant"]["details"]
    values.append(
        (
            item["time"],
            location,
            details["air_temperature"],
            details["air_pressure_at_sea_level"],
            details["cloud_area_fraction"],
            details["relative_humidity"],
            details["wind_from_direction"],
            details["wind_speed"],
        )
    )

# SQL
sql = """INSERT INTO yr (
              time,
              location,
              air_temperature,
              air_pressure_at_sea_level,
              cloud_area_fraction,
              relative_humidity,
              wind_from_direction,
              wind_speed)
          VALUES(%s, %s, %s, %s, %s, %s, %s, %s)
          ON CONFLICT (time, location) DO UPDATE SET
              air_temperature=EXCLUDED.air_temperature,
              air_pressure_at_sea_level=EXCLUDED.air_pressure_at_sea_level,
              cloud_area_fraction=EXCLUDED.cloud_area_fraction,
              relative_humidity=EXCLUDED.relative_humidity,
              wind_from_direction=EXCLUDED.wind_from_direction,
              wind_speed=EXCLUDED.wind_speed,
              updated=now()"""

common.dbi(sql, values, verbose=True)