LINE AI機器人 第二篇

const result = await env.AI.run(
  "@cf/meta/llama-3.1-8b-instruct",
  {
    messages,
    max_tokens: 256
  }
);

const result = await env.AI.run(
  "@cf/meta/llama-3.1-8b-instruct-fast",
  {
    messages,
    max_tokens: 256
  }
);

if (isWeatherQuery(text)) {
  try {
    const weatherReply = await getWeatherReply(text);

    await sendReply(
      env,
      replyToken,
      weatherReply
    );
  } catch (err) {
    console.error(
      "Weather error:",
      err
    );

    await sendReply(
      env,
      replyToken,
      "唔，我剛剛沒能取得天氣資料。可能是天氣服務暫時沒回應，可以等一下再問我一次嗎？"
    );
  }

  return;
}

//判斷是不是天氣問題
function isWeatherQuery(text) {
  return /(天氣|氣溫|溫度|體感|會下雨|下雨嗎|降雨|雨勢|幾度)/.test(text);
}

// 從句子抓地點
function extractWeatherLocation(text) {
  let location = String(text || "")
    .replace(/[？?！!。，,、]/g, " ")
    .replace(/洛伊/g, " ")
    .replace(
      /今天|今日|明天|明日|後天|現在|目前|此刻/g,
      " "
    )
    .replace(
      /天氣|氣溫|溫度|體感溫度|體感|降雨機率|降雨|雨勢|會下雨|下雨嗎|下雨|幾度/g,
      " "
    )
    .replace(
      /請問|麻煩|幫我|可以|能不能|能否|查一下|查詢|搜尋|看看|查看/g,
      " "
    )
    .replace(
      /如何|怎樣|怎麼樣|好嗎|多少|會不會|是否|呢|嗎/g,
      " "
    )
    .replace(/\s+/g, " ")
    .trim();

  return location || "台北";
}

// 常用地區固定座標

const WEATHER_LOCATION_PRESETS = {
  "台北": {
    name: "台北",
    admin1: "台北市",
    country: "台灣",
    latitude: 25.0330,
    longitude: 121.5654,
    timezone: "Asia/Taipei"
  },

  "新北": {
    name: "新北",
    admin1: "新北市",
    country: "台灣",
    latitude: 25.0120,
    longitude: 121.4657,
    timezone: "Asia/Taipei"
  },

  "桃園": {
    name: "桃園",
    admin1: "桃園市",
    country: "台灣",
    latitude: 24.9937,
    longitude: 121.3010,
    timezone: "Asia/Taipei"
  },

  "台中": {
    name: "台中",
    admin1: "台中市",
    country: "台灣",
    latitude: 24.1477,
    longitude: 120.6736,
    timezone: "Asia/Taipei"
  },

  "東京": {
    name: "東京",
    admin1: "東京都",
    country: "日本",
    latitude: 35.6762,
    longitude: 139.6503,
    timezone: "Asia/Tokyo"
  }
};

// 找不到固定地點時，用 Open-Meteo Geocoding

async function geocodeWeatherLocation(locationName) {
  const preset =
    WEATHER_LOCATION_PRESETS[locationName];

  if (preset) {
    return preset;
  }

  const url = new URL(
    "https://geocoding-api.open-meteo.com/v1/search"
  );

  url.searchParams.set(
    "name",
    locationName
  );

  url.searchParams.set(
    "count",
    "1"
  );

  url.searchParams.set(
    "language",
    "zh"
  );

  url.searchParams.set(
    "format",
    "json"
  );

  const response =
    await fetch(url.toString());

  if (!response.ok) {
    throw new Error(
      `Open-Meteo geocoding ${response.status}`
    );
  }

  const data =
    await response.json();

  const result =
    data?.results?.[0];

  if (!result) {
    throw new Error(
      `找不到地點：${locationName}`
    );
  }

  return result;
}

// 天氣查詢

async function getWeatherReply(text) {
  const requestedLocation =
    extractWeatherLocation(text);

  const place =
    await geocodeWeatherLocation(
      requestedLocation
    );

  const url = new URL(
    "https://api.open-meteo.com/v1/forecast"
  );

  url.searchParams.set(
    "latitude",
    String(place.latitude)
  );

  url.searchParams.set(
    "longitude",
    String(place.longitude)
  );

  url.searchParams.set(
    "current",
    "temperature_2m,apparent_temperature,relative_humidity_2m,precipitation,weather_code,wind_speed_10m"
  );

  url.searchParams.set(
    "daily",
    "weather_code,temperature_2m_max,temperature_2m_min,precipitation_probability_max"
  );

  url.searchParams.set(
    "timezone",
    place.timezone || "auto"
  );

  url.searchParams.set(
    "forecast_days",
    "3"
  );

  const response =
    await fetch(url.toString());

  if (!response.ok) {
    throw new Error(
      `Open-Meteo forecast ${response.status}`
    );
  }

  const data =
    await response.json();

  let dayIndex = 0;
  let dayLabel = "今天";

  if (/後天/.test(text)) {
    dayIndex = 2;
    dayLabel = "後天";
  } else if (/明天|明日/.test(text)) {
    dayIndex = 1;
    dayLabel = "明天";
  }

  const daily = data.daily;

  const maxTemp =
    daily.temperature_2m_max[dayIndex];

  const minTemp =
    daily.temperature_2m_min[dayIndex];

  const rainChance =
    daily.precipitation_probability_max[
      dayIndex
    ];

  if (dayIndex === 0) {
    const current = data.current;

    return (
      `${place.name}現在是${weatherCodeToText(current.weather_code)}，` +
      `${current.temperature_2m}°C，體感 ${current.apparent_temperature}°C。\n` +
      `今天約 ${minTemp}～${maxTemp}°C，最高降雨機率 ${rainChance}%；` +
      `濕度 ${current.relative_humidity_2m}%。\n` +
      `資料：Open-Meteo`
    );
  }

  return (
    `${place.name}${dayLabel}預計${weatherCodeToText(
      daily.weather_code[dayIndex]
    )}，` +
    `約 ${minTemp}～${maxTemp}°C，` +
    `最高降雨機率 ${rainChance}%。\n` +
    `資料：Open-Meteo`
  );
}