So my son loves his tonie so much for listening to his favorite shows: blog post about that project here
I thought it would be cool to make one of his tonies tell him the weather for the day. So I threw this script together to generate a "text to speech" weather forecast for the day, and clothing recommendations for him to dress himself.
It runs every day to get the current weather, and uses the hourly high/lows and precipitation data to recommend what to wear. He wakes up in the morning, puts the yeti tonie on the box, and then knows exactly what to wear for the day.
He loves it.
Here is the code: https://github.com/spiffomatic64/tonie_sync/blob/master/tonie_weather.py
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 | from noaa_sdk import NOAA import json from gtts import gTTS import shutil from pprint import pprint from datetime import datetime, timedelta def get_temp(temp, low): temps = {100: "Very hot, Wear a Tshirt and shorts", 85: "Hot, Wear a Tshirt and shorts", 75: "Warm, Wear a Tshirt and shorts", 65: "Nice, Wear a Tshirt and shorts", 50: "Cool, Wear a Tshirt and pants", 40: "Cold, Wear a Long Sleeves shirt and pants", 30: "Very Cold, Wear a Long Sleeves shirt and pants"} for t in temps: if temp > t: if low < 65: temp_data = temps[t].replace("shorts","pants") return temp_data def get_forcast(forecast_data, hourly_data): json_formatted_str = json.dumps(forecast_data, indent=2) print(json_formatted_str) tomorrow = datetime.now() + timedelta(1) tomorrow_string = tomorrow.strftime("%Y-%m-%d") # print(tomorrow_string) max = 0 min = 100 for hour_data in hourly_data: if hour_data['startTime'][:10] == tomorrow_string: hour = int(hour_data['startTime'][11:13]) if hour > 6 and hour < 17: # print(hour) if hour_data['temperature'] > max: max = hour_data['temperature'] if hour_data['temperature'] < min: min = hour_data['temperature'] print(f"High: {max} Low: {min}") temp = get_temp(forecast_data['temperature'], min) forcast_string = (f"{forecast_data['name']} will be {temp}. " + f"The forecast is {forecast_data['detailedForecast']} " + f"The Low will be {min}") return forcast_string n = NOAA() res = n.get_forecasts('19067', 'US', type="forecast") res2 = n.get_forecasts('19067', 'US', type="forecastHourly") forecast = get_forcast(res[2], res2) print(forecast) myobj = gTTS(text=forecast, lang="en", slow=True) # Saving the converted audio in a mp3 file named # welcome path = "I:\\audio\\weather" filename = "weather" ext = "mp3" myobj.save(f"{path}\\{filename}0.{ext}") for num in range(1, 3): shutil.copy(f"{path}\\{filename}0.{ext}", f"{path}\\{filename}{num}.{ext}") |
