first commit

random-weather.py

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+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+import csv
+import random
+import requests
+import os
+
+weather_api_site="https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={long}&timezone=auto&daily=weathercode,temperature_2m_max,temperature_2m_min,sunrise,sunset&forecast_days=1"
+
+cityfile="geonames.csv"
+
+weather_codes = {0:"sereno",
+                 1:"prevalentemente sereno",
+                 2:"parzialmente nuvoloso",
+                 3:"nuvoloso",
+                 45:"nebbioso",
+                 48:"nebbioso",
+                 51:"lieve pioggerella",
+                 53:"moderata pioggerella",
+                 55:"intensa pioggerella",
+                 56:"lieve pioggerella",
+                 57:"intensa pioggerella",
+                 61:"lievi precipitazioni",
+                 63:"moderate precipitazioni",
+                 65:"intense precipitazioni",
+                 66:"lievi precipitazioni",
+                 67:"intense precipitazioni",
+                 71:"lievi nevicate",
+                 73:"moderate nevicate",
+                 75:"intense nevicate",
+                 77:"grandinate",
+                 80:"lievi acquazzoni",
+                 81:"moderati acquazzoni",
+                 82:"violenti acquazzoni",
+                 85:"lievi nevicate",
+                 86:"intensei nevicate" ,
+                 95:"temporali",
+                 96:"temporali con lievi grandinate",
+                 99:"temporali con forti grandinate"
+
+                 }
+
+def select_random_city():
+    with open(cityfile) as csvfile:
+        reader = csv.DictReader(csvfile)
+        line = random.choice(list(reader))
+    return line
+
+
+def format_tts(city, country, weather_code, max_temperature, min_temperature): 
+    weather_condition = weather_codes[weather_code]
+    text_to_speech = f"""Oggi a {city}, {country} il meteo sarà {weather_condition}, 
+    la temperatura minima sarà di {min_temperature} gradi e la massima di {max_temperature} gradi"""
+    return text_to_speech
+
+
+def get_audio_file(text_to_speech):
+    print(text_to_speech)
+#    os.system("espeak-ng '{tts}' -v mb-it1 -w random_weather_forecast.wav".format(tts=text_to_speech))     
+    os.system("spd-say -l it-IT '{tts}'".format(tts=text_to_speech))     
+
+
+def retrieve_forecast():
+    city_dict = select_random_city() 
+    try:
+        api_string = weather_api_site.format(lat = city_dict['Latitude'], long = city_dict['Longitude'])
+        city_forecast = requests.get(api_string).json()
+
+    except Exception as e:
+        print(e)
+    daily_forecast = city_forecast['daily']
+    tts = format_tts(
+        city_dict['Name'], 
+        city_dict['Country'],
+        daily_forecast['weathercode'][0],
+        daily_forecast['temperature_2m_max'][0],
+        daily_forecast['temperature_2m_min'][0]
+    )
+
+    get_audio_file(tts)
+
+retrieve_forecast()