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Update cwa_service.py
Browse files- cwa_service.py +58 -93
cwa_service.py
CHANGED
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@@ -9,7 +9,7 @@ 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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# --- 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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@@ -26,104 +26,69 @@ def _parse_cwa_time(s: str) -> tuple[str, str]:
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except Exception:
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return (s, "未知")
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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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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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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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# 兼容各種大小寫和可能的父節點名稱
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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 ei.get("EarthquakeMagnitude") or {}
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# 嘗試用所有已知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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# 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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now = datetime.now(timezone.utc)
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time_from = (now - timedelta(days=
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TAIPEI_TZ = timezone(timedelta(hours=8))
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# --- Helper Functions (此區塊不變) ---
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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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except Exception:
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return (s, "未知")
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# --- 地震預警 (CWA_ALARM_API) (此函式不變) ---
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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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return "\n\n".join(lines).strip()
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# --- 顯著有感地震 (E-A0015-001) (此區塊不變) ---
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def _parse_significant_earthquakes(obj: dict) -> pd.DataFrame:
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# ... (此函式內容不變) ...
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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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# ... (此函式內容不變) ...
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return "\n\n".join(lines)
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# --- [新功能] 最新一筆顯著地震 ---
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def fetch_latest_significant_earthquake() -> dict | None:
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"""從 CWA 獲取最新一筆顯著有感地震的詳細資料,包含報告圖。"""
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if not CWA_API_KEY:
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# 在這種情況下拋出錯誤,讓呼叫者處理
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raise ValueError("錯誤:尚未設定 CWA_API_KEY Secret。")
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# 查詢過去24小時內最新的一筆資料
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now = datetime.now(timezone.utc)
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time_from = (now - timedelta(days=1)).strftime("%Y-%m-%dT%H:%M:%S")
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params = {
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"Authorization": CWA_API_KEY,
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"format": "JSON",
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"timeFrom": time_from,
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"limit": 1, # 只取最新一筆
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"sort": "OriginTime desc" # 依時間倒序
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}
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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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quakes = data.get("records", {}).get("Earthquake", [])
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if not quakes:
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return None
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q = quakes[0]
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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") or ei.get("Depth")
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mag_raw = mag_info.get("MagnitudeValue") or mag_info.get("value") or mag_info.get("Magnitude")
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# 將解析出的資料存入字典
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result = {
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"Time": ei.get("OriginTime"),
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"Location": epic.get("Location"),
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"Magnitude": _to_float(mag_raw),
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"Depth": _to_float(depth_raw),
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"URL": q.get("Web"),
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"ImageURL": q.get("ReportImageURI") # 獲取報告圖網址
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}
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# 將時間轉換為台北時區
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if result["Time"]:
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dt = pd.to_datetime(result["Time"]).tz_localize("UTC").tz_convert(TAIPEI_TZ)
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result["TimeStr"] = dt.strftime('%Y-%m-%d %H:%M')
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return result
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