94 lines
3.3 KiB
Python
94 lines
3.3 KiB
Python
import requests
|
|
from datetime import datetime
|
|
|
|
weather_url = 'https://p478kygkjw.re.qweatherapi.com/'
|
|
weather_api_key = '4aa47f183c694aaa812ff018be8270e4'
|
|
nanjing_location = '101190101'
|
|
|
|
|
|
def get_today_weather(city_location=nanjing_location):
|
|
response = requests.get(
|
|
f'{weather_url}v7/weather/3d',
|
|
headers={
|
|
'X-QW-Api-Key': f'{weather_api_key}'
|
|
},
|
|
params={'location': city_location}
|
|
)
|
|
|
|
return response.json()
|
|
|
|
|
|
def get_today_indices(city_location=nanjing_location):
|
|
response = requests.get(
|
|
f'{weather_url}v7/indices/1d',
|
|
headers={
|
|
'X-QW-Api-Key': f'{weather_api_key}'
|
|
},
|
|
params={
|
|
'location': city_location,
|
|
'type': '0'
|
|
}
|
|
)
|
|
|
|
return response.json()
|
|
|
|
|
|
def get_weather_message(weather, indices):
|
|
textDay = weather['daily'][0]['textDay']
|
|
textNight = weather['daily'][0]['textNight']
|
|
weather_desc = textDay if textDay == textNight else f"{textDay}转{textNight}"
|
|
|
|
# 定义天气数据变量
|
|
weather_data = {
|
|
"city": "南京",
|
|
"date": weather['daily'][0]['fxDate'],
|
|
"update_time": datetime.now().strftime("%H:%M:%S"),
|
|
"temp_max": weather['daily'][0]['tempMax'],
|
|
"temp_min": weather['daily'][0]['tempMin'],
|
|
"weather": weather_desc,
|
|
"humidity": weather['daily'][0]['humidity'] + "%",
|
|
"wind": weather['daily'][0]['windDirDay'] + " " + weather['daily'][0]['windScaleDay'] + "级",
|
|
"life_index": [
|
|
{"type": "舒适度指数", "icon": "😊", "level": indices['daily'][7]['category'],
|
|
"advice": indices['daily'][7]['text']},
|
|
{"type": "穿衣指数", "icon": "👕", "level": indices['daily'][2]['category'],
|
|
"advice": indices['daily'][2]['text']},
|
|
{"type": "运动指数", "icon": "🏃", "level": indices['daily'][0]['category'],
|
|
"advice": indices['daily'][0]['text']},
|
|
{"type": "洗车指数", "icon": "🚗", "level": indices['daily'][1]['category'],
|
|
"advice": indices['daily'][1]['text']}
|
|
],
|
|
"data_source": "中央气象台"
|
|
}
|
|
|
|
# 构建markdown内容
|
|
markdown_content = f"""# 🌤️ 今日天气播报
|
|
## 📍 基本信息
|
|
**城市:** {weather_data["city"]}
|
|
**日期:** {weather_data["date"]}
|
|
**更新时间:** {weather_data["update_time"]}
|
|
|
|
## 🌡️ 今日天气
|
|
- **温度:** 最高{weather_data["temp_max"]}℃/最低{weather_data["temp_min"]}℃
|
|
- **天气:** {weather_data["weather"]}
|
|
- **湿度:** {weather_data["humidity"]}
|
|
- **风力:** {weather_data["wind"]}
|
|
|
|
## 📊 生活指数
|
|
| 指数类型 | 等级 | 建议 |
|
|
|---------|-----|------|
|
|
| 😊 舒适度指数 | {weather_data["life_index"][0]["level"]} | {weather_data["life_index"][0]["advice"]} |
|
|
| 👕 穿衣指数 | {weather_data["life_index"][1]["level"]} | {weather_data["life_index"][1]["advice"]} |
|
|
| 🏃 运动指数 | {weather_data["life_index"][2]["level"]} | {weather_data["life_index"][2]["advice"]} |
|
|
| 🚗 洗车指数 | {weather_data["life_index"][3]["level"]} | {weather_data["life_index"][3]["advice"]} |
|
|
|
|
---
|
|
*数据来源:{weather_data['data_source']}*"""
|
|
|
|
return {
|
|
"msgtype": "markdown_v2",
|
|
"markdown_v2": {
|
|
"content": markdown_content
|
|
}
|
|
}
|