yaweather

YaWeather | Yandex Weather API

☀️🌤🌧🌩❄️ Yandex Weather API wrapper with typings and asyncio support.

Docs: https://tech.yandex.com/weather/doc/dg/concepts/forecast-test-docpage (RU)

Get API Key: https://developer.tech.yandex.ru/services/18

⚠️ Warning: As a developer of this library, I recommend you not to use Yandex Weather API, here are some reasons:

• Incomplete responses even for metropolises — you can have a look to all Optional fields that I had to use in models, that means you should add None checks before access literally to any attribute
• Bad official documentation — for example, I really had to parse html code of doc pages just because tables copying was broken
• Incomprehensible and big delay answers from support team
• Few requests available — 50 per day on free rate and 5000 per day for one test month
• Closed information about real prices that are accessible only via support team

Consider usage of OpenWeatherMap with 1 mln free requests every month and really good documentation which easy to understand and parse.

📝 Table of Contents

• 🎒 Installation
• 🛠 Examples
  • Simple
  • Simple Async
  • Forecasts
  • Forecasts Async
• 📜 Manual
  • Methods
  • Types
  • In case of unsupported types
• 👨🏻‍💻 Author
• 💬 Contributing
• 📝 License

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🎒 Installation

Just

pip install yaweather

🛠 Examples

Simple

from yaweather import UnitedKingdom, YaWeather

y = YaWeather(api_key='secret')
res = y.forecast(UnitedKingdom.London)

print(f'Now: {res.fact.temp} °C, feels like {res.fact.feels_like} °C')
print(f'Condition: {res.fact.condition}')

Output:

Now: 18.0 °C, feels like 15.0 °C
Condition: cloudy

Simple Async

import asyncio

from yaweather import Russia, YaWeatherAsync


async def main():
    async with YaWeatherAsync(api_key='secret') as y:
        res = await y.forecast(Russia.Moscow)

        print(f'Now: {res.fact.temp} °C, feels like {res.fact.feels_like} °C')
        print(f'Condition: {res.fact.condition}')


asyncio.run(main())

Output:

Now: 16.0 °C, feels like 16.0 °C
Condition: clear

Forecasts

from yaweather import UnitedStates, YaWeather

y = YaWeather(api_key='secret')

res = y.forecast(UnitedStates.NewYork)

for f in res.forecasts:
    day = f.parts.day_short
    print(f'{f.date} | {day.temp} °C, {day.condition}')

Output:

2020-07-30 | 32.0 °C, cloudy
2020-07-31 | 26.0 °C, light-rain
2020-08-01 | 28.0 °C, cloudy
2020-08-02 | 28.0 °C, rain
2020-08-03 | 28.0 °C, light-rain
2020-08-04 | 27.0 °C, rain
2020-08-05 | 29.0 °C, light-rain

Forecasts Async

import asyncio

from yaweather import China, YaWeatherAsync


async def main():
    async with YaWeatherAsync(api_key='secret') as y:
        res = await y.forecast(China.Beijing)

        for f in res.forecasts:
            day = f.parts.day_short
            print(f'{f.date} | {day.temp} °C, {day.condition}')


asyncio.run(main())

Output:

2020-07-31 | 34.0 °C, light-rain
2020-08-01 | 34.0 °C, cloudy
2020-08-02 | 30.0 °C, heavy-rain
2020-08-03 | 33.0 °C, cloudy
2020-08-04 | 35.0 °C, cloudy
2020-08-05 | 34.0 °C, light-rain
2020-08-06 | 31.0 °C, heavy-rain

📜 Manual

Methods

API have one method:

• forecast — request for the forecast, return type: ResponseForecast

Types

This library uses pydantic for parsing API responses. You can see data models in yaweather/models.

In case of unsupported types

API results can change and the library may not parse the new result. So you can request «raw» dicts:

raw_dict = y.forecast_raw(UnitedKingdom.London)

👨🏻‍💻 Author

Ramzan Bekbulatov:

• Telegram: @rm_bk
• Github: @uburuntu

💬 Contributing

Contributions, issues and feature requests are welcome!

📝 License

This project is MIT licensed.