cy_weather_api 0.2.0

Caiyun Weather API Python SDK

Caiyun Weather API Python SDK

NOTE: This project is not officially supported by ColorfulClouds Technology.

It's open sourced under MIT License and designed as a debug tool for our internal systems instead of online services, or third party technology support.

Install

Python 3.8.1+ is required.

pip install cy-weather-api

Usage

Request Caiyun API

NOTE: TAkhjf8d1nlSlspN is test token, no one can ensure its availability.

from cy_weather_api import CyWeatherAPIClient

client = CyWeatherAPIClient(token="TAkhjf8d1nlSlspN")

api_result = client.fetch(lng=101.8551, lat=26.6832, lang="zh_CN", alert=True)
print(api_result.result.hourly.description)

api_result = client.fetch(lng=-0.2008, lat=51.5024, lang="en_GB")
print(api_result.result.hourly.description)

api_result = client.fetch(lng=73.9808, lat=40.7648, lang="en_US")
print(api_result.result.hourly.description)

Output sample:

晴，今天晚间20点钟后转小雨，其后多云
clear weather over the next 24 hours
clear weather, overcast after 20 o'clock this afternoon, followed by cloudy

Use our dataclass models

The default HTTP client is httpx, you can use other HTTP client to request API, and pass the response dict to our models (based on dataclass):

from cy_weather_api import CyWeatherResponse

data = {
    "status": "ok",
    "api_version": "v2.6",
    "api_status": "active",
    "lang": "en_US",
    "unit": "metric",
    "tzshift": 28800,
    "timezone": "Asia/Shanghai",
    "server_time": 1589125757,
    "location": [39.888888, 116.674501],
    "result": {"forecast_keypoint": "test forecast_keypoint", "primary": 0},
}
result = CyWeatherResponse.from_dict(data)