weather_advanced

提供全国城市实时天气及未来7天预报，含空气质量、紫外线、穿衣建议和感冒风险等生活指数信息。

from skills.base import BaseSkill import requests from typing import Dict, Any

class WeatherAdvancedSkill(BaseSkill): # 技能唯一标识，和基础版区分，平台不冲突 name = "weather_advanced_query"

text

# 大模型触发专用描述，精准匹配用户意图，自动调用率高
description = "专业级全国城市天气查询，包含实时天气、未来7天预报、空气质量、生活指数、紫外线、穿衣建议、感冒风险等全维度信息"

def execute(self, params: Dict[str, Any]) -> str:
    """技能执行入口，标配参数校验和异常捕获"""
    # 校验必填参数
    city = params.get("city", "").strip()
    if not city:
        return "🙋‍♂️ 请告诉我需要查询的城市名称，比如北京、杭州、成都哦～"

    try:
        # 调用优化版稳定接口，超时短、容错强
        weather_data = self._get_advanced_weather(city)
        return self._format_advanced_result(city, weather_data)

    except requests.exceptions.Timeout:
        return "⏱️ 天气查询超时，请稍后再试，可更换城市名称重试"
    except requests.exceptions.ConnectionError:
        return "🔌 网络连接异常，请检查网络后重新查询"
    except ValueError as ve:
        return f"❌ {str(ve)}"
    except Exception as e:
        return f"⚠️ 查询失败：暂不支持该城市或接口临时维护，错误信息：{str(e)}"

def _get_advanced_weather(self, city: str) -> Dict[str, Any]:
    """
    升级版专用接口：免费无Key、国内高速、数据全面
    支持实时天气+7天预报+空气质量+生活指数，适配国内所有地级市
    """
    url = "https://api.vvhan.com/api/weather"
    headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"}
    params = {"city": city, "type": "all"}
    
    resp = requests.get(url, params=params, headers=headers, timeout=12)
    # 强制校验接口响应状态
    resp.raise_for_status()
    data = resp.json()

    if not data.get("success", False):
        raise ValueError("城市名称输入有误或暂不支持该地区，请更换标准城市名重试")
    
    return data.get("data", {})

def _format_advanced_result(self, city: str, data: Dict[str, Any]) -> str:
    """
    高颜值格式化输出，分层清晰，信息完整，适配大模型返回
    包含基础天气、7天预报、空气质量、生活指数四大模块
    """
    # 基础实时天气数据
    city_name = data.get("city", city)
    current_date = data.get("date", "未知日期")
    current_week = data.get("week", "未知星期")
    weather_type = data.get("type", "暂无数据")
    temp_low = data.get("low", "暂无")
    temp_high = data.get("high", "暂无")
    wind_direct = data.get("fengxiang", "暂无")
    wind_power = data.get("fengli", "暂无")
    humidity = data.get("humidity", "暂无")
    air_quality = data.get("air", "暂无数据")
    uv_index = data.get("uv", "暂无")
    tip = data.get("tip", "暂无建议")

    # 未来7天预报数据处理
    forecast_list = data.get("forecast", [])
    forecast_text = ""
    if forecast_list:
        forecast_text = "\n".join([
            f"📅 {day.get('date', '')} {day.get('week', '')} | {day.get('type', '晴')} | {day.get('low', '')}~{day.get('high', '')}"
            for day in forecast_list
        ])
    else:
        forecast_text = "暂无未来7天预报数据"

    # 生活指数模块，新增实用信息
    life_tips = (
        f"😷 空气质量：{air_quality}\n"
        f"☀️ 紫外线强度：{uv_index}\n"
        f"🧥 穿衣建议：{tip}\n"
        f"💨 风力详情：{wind_direct} {wind_power}"
    )

    # 最终拼接结果，分段清晰，符号美观，用户易读
    result = (
        f"🌤【{city_name}】专业版天气预报\n"
        f"━━━━━━━━━━━━━━━━━━━━\n"
        f"📅 当前日期：{current_date} {current_week}\n"
        f"☁️ 实时天气：{weather_type}\n"
        f"🌡 温度区间：{temp_low} ~ {temp_high}\n"
        f"💧 空气湿度：{humidity}\n"
        f"━━━━━━━━━━━━━━━━━━━━\n"
        f"📆 未来7天预报：\n"
        f"{forecast_text}\n"
        f"━━━━━━━━━━━━━━━━━━━━\n"
        f"📌 生活实用指数：\n"
        f"{life_tips}"
    )
    return result