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Update command_handler.py
Browse files- command_handler.py +199 -142
command_handler.py
CHANGED
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#
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import pandas as pd
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from
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# 匯入服務函式
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from cwa_service import fetch_cwa_alarm_list, fetch_significant_earthquakes
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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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from config import CURRENT_YEAR, HF_SPACE_URL
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def get_help_message() -> TextMessage:
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"""回傳包含所有可用指令的說明訊息。"""
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text = (
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"📖 指令列表\n\n"
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"【地震資訊】\n"
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"• /latest - 查詢最新一筆顯著地震(含圖)\n"
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"• /global - 查詢全球近24小時顯著地震\n"
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"• /taiwan - 顯示今年台灣顯著地震列表\n"
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"• /map - 取得台灣顯著地震地圖連結\n"
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"• /alert - 獲取 CWA 最新地震預警\n"
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"• /significant - CWA 最新顯著有感地震\n\n"
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"【AI 與工具】\n"
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"• /ai <問題> - 與 AI 助理對話\n\n"
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"【基本指令】\n"
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"• /info - 關於此機器人\n"
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"• /help - 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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"""回傳機器人資訊。"""
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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: 2.5\n"
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"• 資料來源: CWA, USGS, Hugging Face\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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"""回傳近期的台灣地震文字列表。"""
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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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# [修改] 將 "震級" 改為 "規模"
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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,請用 /map 查看全部)")
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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_taiwan_earthquake_map(base_url: str) -> list:
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"""產生地震地圖,並回傳包含連結的文字訊息。"""
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result = fetch_taiwan_df_this_year()
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if isinstance(result, pd.DataFrame):
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filename = create_and_save_map(result)
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image_url = f"{(HF_SPACE_URL or base_url)}/static/{filename}"
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reply_text = (
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"🗺️ 已為您繪製地震分佈圖。\n\n"
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"請點擊以下連結查看圖片:\n"
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f"{image_url}"
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)
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return [TextMessage(text=reply_text)]
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else:
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return [TextMessage(text=result)]
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if
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if user_message.startswith('/'):
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parts = user_message.split(' ', 1)
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command = parts[0].lower()
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arg = parts[1] if len(parts) > 1 else ""
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if command == '/help':
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return [get_help_message()]
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elif command == '/info':
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return [get_info_message()]
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elif command == '/latest':
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return get_latest_earthquake_reply()
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elif command == '/global':
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return [TextMessage(text=fetch_global_last24h_text())]
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elif command == '/taiwan':
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return [get_taiwan_earthquake_list()]
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elif command == '/map':
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return get_taiwan_earthquake_map(request_base_url)
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elif command == '/alert':
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return [TextMessage(text=fetch_cwa_alarm_list(limit=5))]
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elif command == '/significant':
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return [TextMessage(text=fetch_significant_earthquakes(limit=5))]
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elif command == '/ai':
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if not arg:
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return [TextMessage(text="請輸入問題,例如:/ai 台灣最高的山是哪座?")]
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return [TextMessage(text=generate_ai_text(arg))]
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# 若非指令,則預設交給 AI 處理 (作為備援)
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return [TextMessage(text=generate_ai_text(user_message))]
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# --- [新功能] 處理 /latest 指令的回覆 ---
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def get_latest_earthquake_reply() -> list:
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"""獲取最新地震資訊並組合成 LINE 訊息"""
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try:
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except Exception as e:
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return
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# cwa_service.py
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# -*- coding: utf-8 -*-
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from __future__ import annotations
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import requests
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import re
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import pandas as pd
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from datetime import datetime, timedelta, timezone
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from config import CWA_API_KEY, CWA_ALARM_API, CWA_SIGNIFICANT_API, CWA_LOCAL_EQ_API
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TAIPEI_TZ = timezone(timedelta(hours=8))
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# --- Helper Functions ---
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def _to_float(x):
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if x is None: return None
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s = str(x).strip()
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m = re.search(r"[-+]?\d+(?:\.\d+)?", s)
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return float(m.group()) if m else None
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def _parse_cwa_time(s: str) -> tuple[str, str]:
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if not s: return ("未知", "未知")
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try:
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dt = datetime.fromisoformat(s.replace("Z", "+00:00"))
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tw = dt.astimezone(TAIPEI_TZ).strftime("%Y-%m-%d %H:%M")
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utc = dt.astimezone(timezone.utc).strftime("%Y-%m-%d %H:%M")
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return (tw, utc)
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except Exception:
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return (s, "未知")
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def _normalize_cwa_area_name(area_name: str) -> str:
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"""自動校正縣市名稱,以符合 CWA API 查詢需求"""
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area_name = area_name.replace("台", "臺")
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if area_name.endswith("市") or area_name.endswith("縣"):
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return area_name
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major_cities = "臺北,新北,基隆,桃園,新竹,臺中,嘉義,臺南,高雄".split(',')
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if any(city in area_name for city in major_cities):
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return f"{area_name}市"
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else:
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return f"{area_name}縣"
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# --- 地震預警 (CWA_ALARM_API) ---
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def fetch_cwa_alarm_list(limit: int = 5) -> str:
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"""抓 CWA 地震預警並格式化輸出。"""
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try:
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r = requests.get(CWA_ALARM_API, timeout=10)
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r.raise_for_status()
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payload = r.json()
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except Exception as e:
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return f"❌ 地震預警查詢失敗:{e}"
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items = payload.get("data", [])
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if not items:
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return "✅ 目前沒有地震預警。"
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def _key(it):
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try:
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return datetime.fromisoformat(it.get("originTime", "").replace("Z", "+00:00"))
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except:
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return datetime.min.replace(tzinfo=timezone.utc)
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items = sorted(items, key=_key, reverse=True)
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lines = ["🚨 地震預警(最新):", "-" * 20]
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for it in items[:limit]:
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mag = _to_float(it.get("magnitudeValue"))
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depth = _to_float(it.get("depth"))
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tw_str, _ = _parse_cwa_time(it.get("originTime", ""))
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identifier = str(it.get('identifier', '—')).replace('{', '{{').replace('}', '}}')
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msg_type = str(it.get('msgType', '—')).replace('{', '{{').replace('}', '}}')
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msg_no = str(it.get('msgNo', '—')).replace('{', '{{').replace('}', '}}')
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areas = str(it.get('alertAreas') or '—').replace('{', '{{').replace('}', '}}')
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mag_str = f"{mag:.1f}" if mag is not None else "—"
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depth_str = f"{depth:.0f}" if depth is not None else "—"
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lines.append(
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f"事件: {identifier} | 類型: {msg_type}#{msg_no}\n"
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f"規模/深度: M{mag_str} / {depth_str} km\n"
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f"時間: {tw_str}(台灣)\n"
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f"預警地區: {areas}"
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)
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return "\n\n".join(lines).strip()
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# --- 顯著有感地震 (E-A0015-001) ---
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def _parse_significant_earthquakes(obj: dict) -> pd.DataFrame:
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"""最穩健的解析邏輯,供 /significant 和 /latest 共用"""
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records = obj.get("records") or obj.get("Records") or {}
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quakes = records.get("earthquake") or records.get("Earthquake") or []
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rows = []
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for q in quakes:
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ei = q.get("EarthquakeInfo") or q.get("earthquakeInfo") or {}
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epic = ei.get("Epicenter") or ei.get("epicenter") or {}
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| 90 |
+
mag_info = ei.get("Magnitude") or ei.get("magnitude") or ei.get("EarthquakeMagnitude") or {}
|
| 91 |
+
|
| 92 |
+
depth_raw = ei.get("FocalDepth") or ei.get("depth") or ei.get("Depth")
|
| 93 |
+
mag_raw = mag_info.get("MagnitudeValue") or mag_info.get("magnitudeValue") or mag_info.get("Value") or mag_info.get("value")
|
| 94 |
+
|
| 95 |
+
rows.append({
|
| 96 |
+
"ID": q.get("EarthquakeNo"), "Time": ei.get("OriginTime"),
|
| 97 |
+
"Lat": _to_float(epic.get("EpicenterLatitude") or epic.get("epicenterLatitude")),
|
| 98 |
+
"Lon": _to_float(epic.get("EpicenterLongitude") or epic.get("epicenterLongitude")),
|
| 99 |
+
"Depth": _to_float(depth_raw), "Magnitude": _to_float(mag_raw),
|
| 100 |
+
"Location": epic.get("Location") or epic.get("location"),
|
| 101 |
+
"URL": q.get("Web") or q.get("ReportURL"),
|
| 102 |
+
})
|
| 103 |
+
df = pd.DataFrame(rows)
|
| 104 |
+
if not df.empty and "Time" in df.columns:
|
| 105 |
+
time_series = pd.to_datetime(df["Time"], errors="coerce")
|
| 106 |
+
if pd.api.types.is_datetime64_any_dtype(time_series):
|
| 107 |
+
df["Time"] = time_series.dt.tz_localize("UTC").dt.tz_convert(TAIPEI_TZ)
|
| 108 |
+
return df
|
| 109 |
+
|
| 110 |
+
def fetch_significant_earthquakes(days: int = 7, limit: int = 5) -> str:
|
| 111 |
+
if not CWA_API_KEY: return "❌ 顯著地震查詢失敗:管理者尚未設定 CWA_API_KEY。"
|
| 112 |
+
now = datetime.now(timezone.utc)
|
| 113 |
+
time_from = (now - timedelta(days=days)).strftime("%Y-%m-%d")
|
| 114 |
+
params = {"Authorization": CWA_API_KEY, "format": "JSON", "timeFrom": time_from}
|
| 115 |
+
try:
|
| 116 |
+
r = requests.get(CWA_SIGNIFICANT_API, params=params, timeout=15)
|
| 117 |
+
r.raise_for_status()
|
| 118 |
+
data = r.json()
|
| 119 |
+
df = _parse_significant_earthquakes(data)
|
| 120 |
+
if df.empty: return f"✅ 過去 {days} 天內沒有顯著有感地震報告。"
|
| 121 |
+
df = df.sort_values(by="Time", ascending=False).head(limit)
|
| 122 |
+
|
| 123 |
+
lines = [f"🚨 CWA 最新顯著有感地震 (近{days}天內):", "-" * 20]
|
| 124 |
+
for _, row in df.iterrows():
|
| 125 |
+
mag_str = f"{row['Magnitude']:.1f}" if pd.notna(row['Magnitude']) else "—"
|
| 126 |
+
depth_str = f"{row['Depth']:.0f}" if pd.notna(row['Depth']) else "—"
|
| 127 |
+
lines.append(
|
| 128 |
+
f"時間: {row['Time'].strftime('%Y-%m-%d %H:%M') if pd.notna(row['Time']) else '—'}\n"
|
| 129 |
+
f"地點: {row['Location'] or '—'}\n"
|
| 130 |
+
f"規模: M{mag_str} | 深度: {depth_str} km\n"
|
| 131 |
+
f"報告: {row['URL'] or '無'}"
|
| 132 |
)
|
| 133 |
+
return "\n\n".join(lines)
|
| 134 |
+
except Exception as e:
|
| 135 |
+
return f"❌ 顯著地震查詢失敗:{e}"
|
| 136 |
+
|
| 137 |
+
# --- 最新一筆顯著地震 ---
|
| 138 |
+
def fetch_latest_significant_earthquake() -> dict | None:
|
| 139 |
+
"""從 CWA 獲取最新一筆顯著地震,並重用現有的解析邏輯"""
|
| 140 |
+
if not CWA_API_KEY:
|
| 141 |
+
raise ValueError("錯誤:尚未設定 CWA_API_KEY Secret。")
|
| 142 |
+
|
| 143 |
+
now = datetime.now(timezone.utc)
|
| 144 |
+
time_from = (now - timedelta(days=2)).strftime("%Y-%m-%dT%H:%M:%S")
|
| 145 |
+
params = {"Authorization": CWA_API_KEY, "format": "JSON", "limit": 1}
|
| 146 |
+
|
| 147 |
+
r = requests.get(CWA_SIGNIFICANT_API, params=params, timeout=15)
|
| 148 |
+
r.raise_for_status()
|
| 149 |
+
data = r.json()
|
| 150 |
+
|
| 151 |
+
df = _parse_significant_earthquakes(data)
|
| 152 |
+
if df.empty:
|
| 153 |
+
return None
|
| 154 |
+
|
| 155 |
+
latest_eq_data = df.sort_values(by="Time", ascending=False).iloc[0].to_dict()
|
| 156 |
+
|
| 157 |
+
quakes = data.get("records", {}).get("Earthquake", [])
|
| 158 |
+
if quakes:
|
| 159 |
+
latest_eq_data["ImageURL"] = quakes[0].get("ReportImageURI")
|
| 160 |
+
|
| 161 |
+
if pd.notna(latest_eq_data.get("Time")):
|
| 162 |
+
latest_eq_data["TimeStr"] = latest_eq_data["Time"].strftime('%Y-%m-%d %H:%M')
|
| 163 |
+
|
| 164 |
+
return latest_eq_data
|
| 165 |
+
|
| 166 |
+
# --- 小區域有感地震 (E-A0016-001) ---
|
| 167 |
+
def fetch_local_earthquakes(area_name: str = "", limit: int = 5) -> str:
|
| 168 |
+
"""從 CWA 獲取小區域有感地震報告。如果 area_name 為空,則查詢全台灣。"""
|
| 169 |
+
if not CWA_API_KEY: return "❌ 查詢失敗:管理者尚未設定 CWA_API_KEY。"
|
| 170 |
+
|
| 171 |
+
params = {"Authorization": CWA_API_KEY, "format": "JSON", "limit": limit}
|
| 172 |
+
title = "🇹🇼 台灣近期小區域有感地震:"
|
| 173 |
+
|
| 174 |
+
if area_name:
|
| 175 |
+
normalized_area = _normalize_cwa_area_name(area_name)
|
| 176 |
+
params["AreaName"] = normalized_area
|
| 177 |
+
title = f"🚨 「{normalized_area}」近期小區域有感地震:"
|
| 178 |
+
|
| 179 |
+
try:
|
| 180 |
+
r = requests.get(CWA_LOCAL_EQ_API, params=params, timeout=15)
|
| 181 |
+
r.raise_for_status()
|
| 182 |
+
data = r.json()
|
| 183 |
|
| 184 |
+
earthquakes = data.get("records", {}).get("Earthquake", [])
|
| 185 |
+
if not earthquakes:
|
| 186 |
+
msg = f"✅ 在「{area_name}」" if area_name else "✅ 台灣"
|
| 187 |
+
return f"{msg}近期沒有小區域有感地震報告。"
|
| 188 |
|
| 189 |
+
lines = [title, "-" * 20]
|
| 190 |
+
for eq in earthquakes:
|
| 191 |
+
info = eq.get("earthquakeInfo", {})
|
| 192 |
+
epi = info.get("epicenter", {})
|
| 193 |
+
mag = info.get("magnitude", {})
|
| 194 |
+
depth = info.get("depth", {})
|
| 195 |
+
|
| 196 |
+
intensity_areas = eq.get("intensity", {}).get("shakingArea", [])
|
| 197 |
+
area_strs = [f"{area.get('areaDesc')} {area.get('areaIntensity')}級" for area in intensity_areas if area.get("areaIntensity") and float(area.get("areaIntensity", 0)) > 0]
|
| 198 |
+
intensity_str = "、".join(area_strs) if area_strs else "無具體震度回報"
|
| 199 |
+
|
| 200 |
+
lines.append(
|
| 201 |
+
f"報告: {eq.get('reportContent', '—')}\n"
|
| 202 |
+
f"時間: {info.get('originTime', '—')}\n"
|
| 203 |
+
f"地點: {epi.get('location', '—')}\n"
|
| 204 |
+
f"規模: M{mag.get('magnitudeValue', '—')} | 深度: {depth.get('value', '—')} km\n"
|
| 205 |
+
f"主要影響區域: {intensity_str}"
|
| 206 |
+
)
|
| 207 |
+
return "\n\n".join(lines)
|
| 208 |
+
|
| 209 |
except Exception as e:
|
| 210 |
+
return f"❌ 小區域地震查詢失敗:{e}"
|