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Update cwa_service.py
Browse files- cwa_service.py +93 -20
cwa_service.py
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@@ -1,9 +1,29 @@
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# cwa_service.py
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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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@@ -12,14 +32,11 @@ def fetch_cwa_alarm_list(limit: int = 5) -> str:
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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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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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@@ -31,19 +48,9 @@ def fetch_cwa_alarm_list(limit: int = 5) -> str:
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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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# --- 修改後的邏輯 ---
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# 專門處理 alertAreas 列表
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alert_areas_list = it.get('alertAreas')
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if isinstance(alert_areas_list, list) and alert_areas_list
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# 如果 alertAreas 是一個非空列表,將地區名稱用逗號串接起來
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areas_str = ", ".join(str(area) for area in alert_areas_list)
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else:
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# 否則,維持顯示為 '—'
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areas_str = "—"
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# 最後再處理 f-string 可能的逸出字元
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areas = areas_str.replace('{', '{{').replace('}', '}}')
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# --- 修改結束 ---
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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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@@ -55,4 +62,70 @@ def fetch_cwa_alarm_list(limit: int = 5) -> str:
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)
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return "\n\n".join(lines).strip()
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# cwa_service.py
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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
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TAIPEI_TZ = timezone(timedelta(hours=8))
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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 fetch_cwa_alarm_list(limit: int = 5) -> str:
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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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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: return "✅ 目前沒有地震預警。"
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def _key(it):
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try: return datetime.fromisoformat(it.get("originTime", "").replace("Z", "+00:00"))
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except: 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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msg_type = str(it.get('msgType', '—')).replace('{', '{{').replace('}', '}}')
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msg_no = str(it.get('msgNo', '—')).replace('{', '{{').replace('}', '}}')
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alert_areas_list = it.get('alertAreas')
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areas_str = ", ".join(str(area) for area in alert_areas_list) if isinstance(alert_areas_list, list) and alert_areas_list else "—"
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areas = areas_str.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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)
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return "\n\n".join(lines).strip()
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def _parse_significant_earthquakes(obj: dict) -> pd.DataFrame:
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records = obj.get("records", {})
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quakes = records.get("Earthquake", [])
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rows = []
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for q in quakes:
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ei = q.get("EarthquakeInfo", {})
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epic = ei.get("Epicenter", {})
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mag_info = ei.get("Magnitude", {})
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depth_raw = ei.get("FocalDepth")
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mag_raw = mag_info.get("MagnitudeValue")
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rows.append({
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"ID": q.get("EarthquakeNo"), "Time": ei.get("OriginTime"),
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"Lat": _to_float(epic.get("EpicenterLatitude")),
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"Lon": _to_float(epic.get("EpicenterLongitude")),
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"Depth": _to_float(depth_raw), "Magnitude": _to_float(mag_raw),
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"Location": epic.get("Location"), "URL": q.get("Web"),
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})
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df = pd.DataFrame(rows)
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if not df.empty and "Time" in df.columns:
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df["Time"] = pd.to_datetime(df["Time"], errors="coerce").dt.tz_convert(TAIPEI_TZ)
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return df
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def fetch_significant_earthquakes(days: int = 7, limit: int = 5) -> str:
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if not CWA_API_KEY: return "❌ 顯著地震查詢失敗:管理者尚未設定 CWA_API_KEY。"
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now = datetime.now(timezone.utc)
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time_from = (now - timedelta(days=days)).strftime("%Y-%m-%d")
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params = {"Authorization": CWA_API_KEY, "format": "JSON", "timeFrom": time_from}
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try:
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r = requests.get(CWA_SIGNIFICANT_API, params=params, timeout=15)
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r.raise_for_status()
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data = r.json()
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df = _parse_significant_earthquakes(data)
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if df.empty: return f"✅ 過去 {days} 天內沒有顯著有感地震報告。"
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df = df.sort_values(by="Time", ascending=False).head(limit)
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lines = [f"🚨 CWA 最新顯著有感地震 (近{days}天內):", "-" * 20]
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for _, row in df.iterrows():
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mag_str = f"{row['Magnitude']:.1f}" if pd.notna(row['Magnitude']) else "—"
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depth_str = f"{row['Depth']:.0f}" if pd.notna(row['Depth']) else "—"
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lines.append(
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f"時間: {row['Time'].strftime('%Y-%m-%d %H:%M') if pd.notna(row['Time']) else '—'}\n"
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f"地點: {row['Location'] or '—'}\n"
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f"規模: M{mag_str} | 深度: {depth_str} km\n"
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f"報告: {row['URL'] or '無'}"
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)
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return "\n\n".join(lines)
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except Exception as e:
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return f"❌ 顯著地震查詢失敗:{e}"
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def fetch_latest_significant_earthquake() -> dict | None:
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if not CWA_API_KEY: raise ValueError("錯誤:尚未設定 CWA_API_KEY Secret。")
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params = {"Authorization": CWA_API_KEY, "format": "JSON", "limit": 1, "orderby": "OriginTime desc"}
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r = requests.get(CWA_SIGNIFICANT_API, params=params, timeout=15)
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r.raise_for_status()
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data = r.json()
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df = _parse_significant_earthquakes(data)
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if df.empty: return None
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latest_eq_data = df.iloc[0].to_dict()
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quakes = data.get("records", {}).get("Earthquake", [])
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if quakes:
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latest_eq_data["ImageURL"] = quakes[0].get("ReportImageURI")
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if pd.notna(latest_eq_data.get("Time")):
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latest_eq_data["TimeStr"] = latest_eq_data["Time"].strftime('%Y-%m-%d %H:%M')
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return latest_eq_data
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