利用Python基础语法开发一个实用的天气查询小应用

# 安装必备库（仅需requests，轻量级！）
pip install requests

import requests

def get_weather(city):
    """获取指定城市的实时天气数据"""
    api_key = "YOUR_API_KEY"  # 替换为你的API密钥（注册后获取）
    url = f"http://api.weatherapi.com/v1/current.json?key={api_key}&q={city}"
    
    try:
        response = requests.get(url)
        response.raise_for_status()  # 检查HTTP错误
        return response.json()
    except requests.exceptions.RequestException as e:
        print(f"⚠️ 网络请求失败: {e}")
        return None
    except Exception as e:
        print(f"⚠️ 系统错误: {e}")
        return None

# 测试调用
if __name__ == "__main__":
    city = "Beijing"
    data = get_weather(city)
    if data:
        print(f"🌤️ {city} 当前天气: {data['current']['condition']['text']}, {data['current']['temp_c']}°C")

def display_weather(data):
    """格式化输出天气信息"""
    if not data:
        return
    
    location = data['location']['name']
    condition = data['current']['condition']['text']
    temp = data['current']['temp_c']
    humidity = data['current']['humidity']
    
    print(f"\n📍 位置: {location}")
    print(f"🌤️ 天气状况: {condition}")
    print(f"🌡️ 温度: {temp}°C")
    print(f"💧 湿度: {humidity}%")
    print("-" * 30)

# 测试调用
if __name__ == "__main__":
    city = "Shanghai"
    data = get_weather(city)
    display_weather(data)

import csv
import os

def save_history(city, temp):
    """保存查询历史到CSV文件"""
    filename = "weather_history.csv"
    file_exists = os.path.isfile(filename)
    
    with open(filename, mode='a', newline='', encoding='utf-8') as file:
        writer = csv.writer(file)
        if not file_exists:
            writer.writerow(['城市', '温度(°C)', '时间'])
        writer.writerow([city, temp, datetime.now().strftime("%Y-%m-%d %H:%M")])

# 在display_weather中调用
def display_weather(data):
    # ... 前面代码不变 ...
    if data:
        save_history(city, temp)  # 保存到文件
        print(f"✅ 历史记录已保存至 {os.path.abspath(filename)}")

城市,温度(°C),时间
Beijing,25,2023-10-05 14:30
Shanghai,28,2023-10-05 14:32

from datetime import datetime

def main():
    print("🌤️ 欢迎使用天气查询小工具！输入城市名即可查询（输入'exit'退出）")
    
    while True:
        city = input("\n请输入城市名称: ").strip()
        if city.lower() == "exit":
            print("👋 感谢使用，再见！")
            break
            
        data = get_weather(city)
        if data:
            display_weather(data)
            save_history(city, data['current']['temp_c'])

if __name__ == "__main__":
    main()

def get_weather(city):
    # ... 原有代码 ...
    try:
        # 尝试用英文城市名查询（API通常支持英文）
        if not city.isascii():  # 检查是否为中文
            # 用百度翻译API转换（简化版，实际可用第三方库）
            city = "Beijing"  # 伪代码：中文转英文
        # ... 后续请求 ...
    except Exception as e:
        print(f"❌ 无法处理城市: {city}，请检查拼写或网络")
        return None

# 在全局定义缓存字典
weather_cache = {}

def get_weather(city):
    if city in weather_cache:
        print("♻️ 从缓存获取数据（避免重复请求API）")
        return weather_cache[city]
    
    # ... 原有API请求逻辑 ...
    weather_cache[city] = data  # 保存到缓存
    return data

import os

api_key = os.getenv("WEATHER_API_KEY", "YOUR_DEFAULT_KEY")  # 从环境变量读取

def display_weather(data):
    # ... 原有代码 ...
    # 新增风速、日出日落时间
    wind_speed = data['current']['wind_kph']
    sunrise = data['forecast']['forecastday'][0]['astro']['sunrise']
    print(f"💨 风速: {wind_speed} km/h")
    print(f"🌅 日出: {sunrise}")

🌤️ 欢迎使用天气查询小工具！输入城市名即可查询（输入'exit'退出）

请输入城市名称: Shanghai

📍 位置: Shanghai
🌤️ 天气状况: Partly cloudy
🌡️ 温度: 28°C
💧 湿度: 65%
------------------------------
✅ 历史记录已保存至 /home/user/weather_history.csv

请输入城市名称: Beijing

📍 位置: Beijing
🌤️ 天气状况: Clear
🌡️ 温度: 25°C
💧 湿度: 50%
------------------------------
✅ 历史记录已保存至 /home/user/weather_history.csv

请输入城市名称: exit
👋 感谢使用，再见！