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# command_handler.py (Corrected and Modified Version)
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import pandas as pd
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from linebot.v3.messaging import TextMessage, ImageMessage
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# 匯入所有服務函式
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from cwa_service import fetch_cwa_alarm_list, fetch_significant_earthquakes, fetch_latest_significant_earthquake
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from usgs_service import fetch_global_last24h_text, fetch_taiwan_df_this_year
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from plotting_service import create_and_save_map
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from ai_service import generate_ai_text
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# [修正] 將 HF_SPACE_URL 改為 MCP_SERVER_URL
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from config import CURRENT_YEAR, MCP_SERVER_URL
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def get_help_message() -> TextMessage:
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text = (
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"📖 指令列表 (輸入數字即可)\n\n"
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"【地震資訊】\n"
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"• 1 - 最新一筆顯著地震 (含圖)\n"
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"• 2 - 全球近24小時顯著地震(USGS)\n"
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"• 3 - 今年台灣顯著地震列表(USGS)\n"
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"• 4 - CWA 地震目錄查詢 (外部連結)\n"
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"• 5 - CWA 最新地震預警\n"
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"• 6 - CWA 最近7天顯著有感地震\n\n"
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"【AI 與工具】\n"
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"• 7 <問題> - 與 AI 助理對話\n\n"
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"【基本指令】\n"
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"• 8 - 關於此機器人\n"
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"• 9 - 顯示此說明"
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)
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return TextMessage(text=text)
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def get_info_message() -> TextMessage:
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text = (
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"🤖 關於我\n\n"
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"我是一個多功能助理機器人,提供地震查詢與 AI 對話功能。\n\n"
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"• 版本: 5.0 (Gemini Edition) 搭配搜尋地震目錄的MCP功能(可用資料 : 1973-01-01 至 2025-07-06)\n"
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"• 資料來源: CWA, USGS, Google Gemini\n"
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"• 開發者: dayichen"
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)
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return TextMessage(text=text)
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def get_taiwan_earthquake_list() -> TextMessage:
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result = fetch_taiwan_df_this_year()
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if isinstance(result, pd.DataFrame):
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count = len(result)
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lines = [f"🇹🇼 今年 ({CURRENT_YEAR} 年) 台灣區域顯著地震 (M≥5.0),共 {count} 筆:", "-" * 20]
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for _, row in result.head(15).iterrows():
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t = row["time_utc"].strftime("%Y-%m-%d %H:%M")
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lines.append(
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f"規模: {row['magnitude']:.1f} | 日期時間: {t} (UTC)\n"
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f"地點: {row['place']}\n"
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f"報告連結: {row.get('url', '無')}"
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)
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if count > 15:
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lines.append(f"... (還有 {count-15} 筆資料)")
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reply_text = "\n\n".join(lines)
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else:
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reply_text = result
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return TextMessage(text=reply_text)
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def get_latest_earthquake_reply() -> list:
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try:
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latest_eq = fetch_latest_significant_earthquake()
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if not latest_eq:
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return [TextMessage(text="✅ 近期無顯著有感地震報告。")]
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mag_str = f"{latest_eq['Magnitude']:.1f}" if latest_eq.get('Magnitude') is not None else "—"
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depth_str = f"{latest_eq['Depth']:.0f}" if latest_eq.get('Depth') is not None else "—"
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text_message_content = (
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f"🚨 CWA 最新顯著有感地震\n"
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f"----------------------------------\n"
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f"時間: {latest_eq.get('TimeStr', '—')}\n"
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f"地點: {latest_eq.get('Location', '—')}\n"
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f"規模: M{mag_str} | 深度: {depth_str} km\n"
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f"報告: {latest_eq.get('URL', '無')}"
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)
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reply_messages = [TextMessage(text=text_message_content)]
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if latest_eq.get("ImageURL"):
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image_url = latest_eq["ImageURL"]
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reply_messages.append(
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ImageMessage(original_content_url=image_url, preview_image_url=image_url)
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)
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return reply_messages
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except Exception as e:
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return [TextMessage(text=f"❌ 查詢最新地震失敗:{e}")]
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def process_message(user_message_raw: str, request_base_url: str) -> list:
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user_message = (user_message_raw or "").strip()
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cmd_map = {
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'1': '/latest', '2': '/global', '3': '/taiwan',
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'4': '/map', '5': '/alert', '6': '/significant',
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'7': '/ai', '8': '/info', '9': '/help',
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'地震': '/global', 'quake': '/global', '幫助': '/help',
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'台灣地震': '/taiwan', '臺灣地震': '/taiwan',
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'台灣地震畫圖': '/map', '臺灣地震畫圖': '/map',
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'地震預警': '/alert',
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}
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command = ""
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arg = ""
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parts = user_message.split(' ', 1)
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cmd_key = parts[0].lower()
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if cmd_key in cmd_map:
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command = cmd_map[cmd_key]
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if len(parts) > 1:
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arg = parts[1].strip()
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# Allow users to still use /command format
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elif user_message.startswith('/') and cmd_key in cmd_map.values():
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command = cmd_key
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if len(parts) > 1:
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arg = parts[1].strip()
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if command:
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if command == '/help': return [get_help_message()]
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if command == '/info': return [get_info_message()]
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if command == '/latest': return get_latest_earthquake_reply()
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if command == '/global': return [TextMessage(text=fetch_global_last24h_text())]
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if command == '/taiwan': return [get_taiwan_earthquake_list()]
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# [修正] 將 HF_SPACE_URL 改為 MCP_SERVER_URL
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if command == '/map': return [TextMessage(text=f"🗺️ 外部地震查詢服務\n\n請點擊以下連結:\n{MCP_SERVER_URL}")]
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if command == '/alert': return [TextMessage(text=fetch_cwa_alarm_list(limit=5))]
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if command == '/significant': return [TextMessage(text=fetch_significant_earthquakes(limit=5))]
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if command == '/ai':
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prompt = arg
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if not prompt: return [TextMessage(text="請輸入問題,例如:7 台灣最高的山是哪座?")]
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return [TextMessage(text=generate_ai_text(prompt))]
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return [TextMessage(text=generate_ai_text(user_message))]
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