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Update cwa_service.py
Browse files- cwa_service.py +17 -16
cwa_service.py
CHANGED
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@@ -28,8 +28,7 @@ def _parse_cwa_time(s: str) -> tuple[str, str]:
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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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# ... (此函式內容不變) ...
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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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@@ -69,35 +68,37 @@ def fetch_cwa_alarm_list(limit: int = 5) -> str:
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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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"""[修改]
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quakes = obj.get("records", {}).get("Earthquake", [])
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rows = []
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for q in quakes:
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#
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depth_raw = ei.get("FocalDepth") or ei.get("Depth")
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mag_raw = mag_info.get("MagnitudeValue") or mag_info.get("
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rows.append({
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"ID": q.get("EarthquakeNo"),
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"
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"Depth": _to_float(depth_raw),
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"Magnitude": _to_float(mag_raw),
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"Location": epic.get("Location")
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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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time_series = pd.to_datetime(df["Time"], errors="coerce")
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if pd.api.types.is_datetime64_any_dtype(time_series):
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# 假設 API 回傳的時間是 UTC 標準時間
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df["Time"] = time_series.dt.tz_localize("UTC").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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# ... (此函式上半部分不變) ...
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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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@@ -109,6 +110,7 @@ def fetch_significant_earthquakes(days: int = 7, limit: int = 5) -> str:
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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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@@ -116,10 +118,9 @@ def fetch_significant_earthquakes(days: int = 7, limit: int = 5) -> str:
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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"
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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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# --- 地震預警 (CWA_ALARM_API) ---
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def fetch_cwa_alarm_list(limit: int = 5) -> str:
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# ... (此函式內容不變,保持原樣) ...
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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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# --- 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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"""[修改] 採用最穩健的方式解析 E-A0015-001 的 JSON,應對格式不一致問題"""
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quakes = obj.get("records", {}).get("Earthquake", [])
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rows = []
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for q in quakes:
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# 兼容大小寫和不同寫法
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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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mag_info = ei.get("Magnitude") or ei.get("magnitude") or {}
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# 嘗試用所有可能的欄位名稱去取得資料
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depth_raw = ei.get("FocalDepth") or ei.get("depth") or ei.get("Depth")
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mag_raw = mag_info.get("MagnitudeValue") or mag_info.get("magnitudeValue") or mag_info.get("Value") or mag_info.get("value")
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rows.append({
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"ID": q.get("EarthquakeNo"),
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"Time": ei.get("OriginTime"),
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"Lat": _to_float(epic.get("EpicenterLatitude") or epic.get("epicenterLatitude")),
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"Lon": _to_float(epic.get("EpicenterLongitude") or epic.get("epicenterLongitude")),
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"Depth": _to_float(depth_raw),
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"Magnitude": _to_float(mag_raw),
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"Location": epic.get("Location") or epic.get("location"),
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"URL": q.get("Web") or q.get("ReportURL"),
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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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time_series = pd.to_datetime(df["Time"], errors="coerce")
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if pd.api.types.is_datetime64_any_dtype(time_series):
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df["Time"] = time_series.dt.tz_localize("UTC").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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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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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" # [修改] 將 "震級" 改為 "規模"
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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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