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