#!/usr/bin/python3
from urllib.request import urlopen
from datetime import datetime
import pandas as pd
import numpy as np
import json
# --- Put in the information below ---
latitude = 45.4112
longitude = -75.6981
# ------------------------------------
url = "https://api.open-meteo.com/v1/forecast?"
url += "latitude=" + str(latitude) + "&longitude=" + str(longitude)
url += "¤t=weather_code,temperature_2m,apparent_temperature,relative_humidity_2m,wind_speed_10m"
url += "&hourly=weather_code,temperature_2m,precipitation_probability"
url += "&daily=weather_code,temperature_2m_min,temperature_2m_max,sunrise,sunset,precipitation_probability_max"
url += "&timezone=America/New_York"
url += "&forecast_hours=12"
#print(url)
wmo_data = {
# description night icon day icon
0: ['Clear sky', u'\uf186', u'\uf185'],
1: ['Mainly clear', u'\uf6c3', u'\uf6c4'],
2: ['Partly cloudy', u'\uf6c3', u'\uf6c4'],
3: ['Overcast', u'\uf0c2', u'\uf0c2'],
45: ['Foggy', u'\uf75f', u'\uf75f'],
48: ['Foggy', u'\uf75f', u'\uf75f'], # Depositing rime fog
51: ['Light drizzle', u'\uf73c', u'\uf743'],
53: ['Drizzle', u'\uf73c', u'\uf743'],
55: ['Heavy drizzle', u'\uf73c', u'\uf743'],
56: ['Freezing drizzle',u'\uf7ad', u'\uf7ad'], # Freezing drizzle (light)
57: ['Freezing drizzle',u'\uf7ad', u'\uf7ad'], # Freezing drizzle (moderate and heavy)
61: ['Light rain', u'\uf73d', u'\uf73d'],
63: ['Rain', u'\uf740', u'\uf740'],
65: ['Heavy rain', u'\uf740', u'\uf740'],
66: ['Freezing rain', u'\uf7ad', u'\uf7ad'], # Freezing rain (light)
67: ['Freezing rain', u'\uf7ad', u'\uf7ad'], # Freezing rain (heavy)
71: ['Light snow', u'\uf2dc', u'\uf2dc'],
73: ['Snow', u'\uf2dc', u'\uf2dc'],
75: ['Heavy snow', u'\uf2dc', u'\uf2dc'],
77: ['Snow grains', u'\uf73b', u'\uf73b'],
80: ['Rain showers', u'\uf73d', u'\uf73d'], # Rain showers (light)
81: ['Rain showers', u'\uf740', u'\uf740'], # Rain showers (moderate)
82: ['Rain showers', u'\uf740', u'\uf740'], # Rain showers (heavy)
85: ['Snow showers', u'\uf2dc', u'\uf2dc'], # Snow showers (light)
86: ['Snow showers', u'\uf2dc', u'\uf2dc'], # Snow showers (heavy)
95: ['Thunderstorm', u'\uf76c', u'\uf76c'], # Thunderstorm (light or moderate)
96: ['Thunderstorm', u'\uf76c', u'\uf76c'], # Thunderstorm with light hail
99: ['Thunderstorm', u'\uf76c', u'\uf76c'] # Thunderstorm with heavy hail
}
try:
data_json = json.loads(urlopen(url).read())
except:
print("ERROR")
cur_time = datetime.strptime(data_json['current']['time'], '%Y-%m-%dT%H:%M')
sunrise = datetime.strptime(data_json['daily']['sunrise'][0],'%Y-%m-%dT%H:%M')
sunset = datetime.strptime(data_json['daily']['sunset'][0],'%Y-%m-%dT%H:%M')
cur_is_dt = 1 if (cur_time>sunrise) & (cur_time<sunset) else 0
# Current values
cur_wc = data_json['current']['weather_code']
cur_temp = round(data_json['current']['temperature_2m'])
cur_apparent_temp = round(data_json['current']['apparent_temperature'])
cur_humidity = round(data_json['current']['relative_humidity_2m'])
cur_wind = round(data_json['current']['wind_speed_10m'])
# Hourly forecast
hourly_date = ['']*3
hourly_wc = [0]*3
hourly_temp = [0]*3
hourly_precipitation = [0]*3
hourly_is_dt = [0]*3
k=0
for i in range(12):
this_time = datetime.strptime(data_json['hourly']['time'][i], '%Y-%m-%dT%H:%M')
if (this_time>cur_time) & (k<3):
hourly_date[k] = this_time.strftime("%H:%M")
hourly_wc[k] = data_json['hourly']['weather_code'][i]
hourly_temp[k] = round(data_json['hourly']['temperature_2m'][i])
hourly_precipitation[k] = round(data_json['hourly']['precipitation_probability'][i])
hourly_is_dt[k] = 1 if (this_time>sunrise) & (this_time<sunset) else 0
k = k+1
# Daily forecast
daily_date = ['']*7
daily_wc = [0]*7
daily_temp_min = [0]*7
daily_temp_max = [0]*7
daily_precipitation = [0]*7
for i in range(7):
daily_date[i] = datetime.strptime(data_json['daily']['time'][i], '%Y-%m-%d').strftime("%a %d")
daily_wc[i] = data_json['daily']['weather_code'][i]
daily_temp_min[i] = round(data_json['daily']['temperature_2m_min'][i])
daily_temp_max[i] = round(data_json['daily']['temperature_2m_max'][i])
daily_precipitation[i] = round(data_json['daily']['precipitation_probability_max'][i])
# Construct tooltip layout
#tooltip_text = str.format(
# "{}\n{}\n\n{}\n{}\n{}\n\n{}\n{}\n{}\n=====\n{}\n{}\n{}\n{}",
# f'<span size="xx-large">{wmo_data[cur_wc][cur_is_dt+1]}</span> <big>{wmo_data[cur_wc][0]}</big>',
# f'<big>{cur_temp}°c (feels like {cur_apparent_temp}°c)</big>',
# f'\uf2ca {daily_temp_min[0]}°c / {daily_temp_max[0]}°c',
# f'\uf185 {sunrise.strftime("%H:%M")} / {sunset.strftime("%H:%M")}',
# f'\uf72e {cur_wind}km/h / \uf773 {cur_humidity}%',
# f'<b>Forcast:</b>\t\t\uf2ca\t\uf0e9',
# f'{hourly_date[0]}\t{wmo_data[hourly_wc[0]][hourly_is_dt[0]+1]}\t{hourly_temp[0]}°c\t{hourly_precipitation[0]}%',
# f'{hourly_date[1]}\t{wmo_data[hourly_wc[1]][hourly_is_dt[1]+1]}\t{hourly_temp[1]}°c\t{hourly_precipitation[1]}%',
# f'{daily_date[1]}\t{wmo_data[daily_wc[1]][2]}\t{daily_temp_min[1]} / {daily_temp_max[1]}\t{daily_precipitation[1]}%',
# f'{daily_date[2]}\t{wmo_data[daily_wc[2]][2]}\t{daily_temp_min[2]} / {daily_temp_max[2]}\t{daily_precipitation[2]}%',
# f'{daily_date[3]}\t{wmo_data[daily_wc[3]][2]}\t{daily_temp_min[3]} / {daily_temp_max[3]}\t{daily_precipitation[3]}%',
# f'{daily_date[4]}\t{wmo_data[daily_wc[4]][2]}\t{daily_temp_min[4]} / {daily_temp_max[4]}\t{daily_precipitation[4]}%',
#)
tooltip_text = str.format(
"{}\n{}\n\n{}\n{}\n{}\n\n{}\n{}\n\n{}\n{}\n{}\n{}\n{}",
f'<span size="xx-large">{wmo_data[cur_wc][cur_is_dt+1]}</span> <big>{wmo_data[cur_wc][0]}</big>',
f'<big>{cur_temp}°c (feels like {cur_apparent_temp}°c)</big>',
f'\uf2ca {daily_temp_min[0]}°c / {daily_temp_max[0]}°c',
f'\uf185 {sunrise.strftime("%H:%M")} / {sunset.strftime("%H:%M")}',
f'\uf72e {cur_wind}km/h / \uf773 {cur_humidity}%',
f'{hourly_date[0]}\t{hourly_date[1]}\t{hourly_date[2]}',
f'{wmo_data[hourly_wc[0]][hourly_is_dt[0]+1]} {hourly_temp[0]}°c\t{wmo_data[hourly_wc[1]][hourly_is_dt[1]+1]} {hourly_temp[1]}°c\t{wmo_data[hourly_wc[2]][hourly_is_dt[2]+1]} {hourly_temp[2]}°c\t',
f'\t\t\uf2ca\t\uf0e9',
f'{daily_date[1]}\t{wmo_data[daily_wc[1]][2]}\t{daily_temp_min[1]} / {daily_temp_max[1]}\t{daily_precipitation[1]}%',
f'{daily_date[2]}\t{wmo_data[daily_wc[2]][2]}\t{daily_temp_min[2]} / {daily_temp_max[2]}\t{daily_precipitation[2]}%',
f'{daily_date[3]}\t{wmo_data[daily_wc[3]][2]}\t{daily_temp_min[3]} / {daily_temp_max[3]}\t{daily_precipitation[3]}%',
f'{daily_date[4]}\t{wmo_data[daily_wc[4]][2]}\t{daily_temp_min[4]} / {daily_temp_max[4]}\t{daily_precipitation[4]}%',
)
out_data = {
"text": f" {wmo_data[cur_wc][cur_is_dt+1]} {cur_temp}°c ",
"tooltip": tooltip_text,
}
print(json.dumps(out_data))
exit()