Update cwa_service.py

cwa_service.py

@@ -5,127 +5,94 @@ import requests
 import re
 import pandas as pd
 from datetime import datetime, timedelta, timezone
-from config import CWA_API_KEY, CWA_ALARM_API, CWA_SIGNIFICANT_API
+from config import CWA_API_KEY, CWA_ALARM_API, CWA_SIGNIFICANT_API, CWA_LOCAL_EQ_API
 
 TAIPEI_TZ = timezone(timedelta(hours=8))
 
+# ... (檔案上半部分的 Helper Functions 和其他 fetch 函式不變) ...
 # --- Helper Functions ---
 def _to_float(x):
-    if x is None: return None
-    s = str(x).strip()
-    m = re.search(r"[-+]?\d+(?:\.\d+)?", s)
+    # ...
     return float(m.group()) if m else None
 
 def _parse_cwa_time(s: str) -> tuple[str, str]:
-    if not s: return ("未知", "未知")
-    try:
-        dt = datetime.fromisoformat(s.replace("Z", "+00:00"))
-        tw = dt.astimezone(TAIPEI_TZ).strftime("%Y-%m-%d %H:%M")
-        utc = dt.astimezone(timezone.utc).strftime("%Y-%m-%d %H:%M")
-        return (tw, utc)
-    except Exception:
-        return (s, "未知")
+    # ...
+    return (tw, utc)
 
 # --- 地震預警 (CWA_ALARM_API) ---
 def fetch_cwa_alarm_list(limit: int = 5) -> str:
-    """抓 CWA 地震預警並格式化輸出。"""
-    try:
-        r = requests.get(CWA_ALARM_API, timeout=10)
-        r.raise_for_status()
-        payload = r.json()
-    except Exception as e:
-        return f"❌ 地震預警查詢失敗：{e}"
-
-    items = payload.get("data", [])
-    if not items:
-        return "✅ 目前沒有地震預警。"
-
-    def _key(it):
-        try:
-            return datetime.fromisoformat(it.get("originTime", "").replace("Z", "+00:00"))
-        except:
-            return datetime.min.replace(tzinfo=timezone.utc)
-    
-    items = sorted(items, key=_key, reverse=True)
-
-    lines = ["🚨 地震預警（最新）:", "-" * 20]
-    for it in items[:limit]:
-        mag = _to_float(it.get("magnitudeValue"))
-        depth = _to_float(it.get("depth"))
-        tw_str, _ = _parse_cwa_time(it.get("originTime", ""))
-
-        # [修正] 在格式化前，先對來自 API 的字串進行轉義，避免其中的 { } 字元造成錯誤
-        identifier = str(it.get('identifier', '—')).replace('{', '{{').replace('}', '}}')
-        msg_type = str(it.get('msgType', '—')).replace('{', '{{').replace('}', '}}')
-        msg_no = str(it.get('msgNo', '—')).replace('{', '{{').replace('}', '}}')
-        areas = str(it.get('alertAreas') or '—').replace('{', '{{').replace('}', '}}')
-        
-        mag_str = f"{mag:.1f}" if mag is not None else "—"
-        depth_str = f"{depth:.0f}" if depth is not None else "—"
-
-        lines.append(
-            f"事件: {identifier} | 類型: {msg_type}#{msg_no}\n"
-            f"震級/深度: M{mag_str} / {depth_str} km\n"
-            f"時間: {tw_str}（台灣）\n"
-            f"預警地區: {areas}"
-        )
+    # ... (此函式內容不變) ...
     return "\n\n".join(lines).strip()
 
 # --- 顯著有感地震 (E-A0015-001) ---
 def _parse_significant_earthquakes(obj: dict) -> pd.DataFrame:
-    quakes = obj.get("records", {}).get("Earthquake", [])
-    rows = []
-    for q in quakes:
-        ei = q.get("EarthquakeInfo", {})
-        epic = ei.get("Epicenter", {})
-        mag_info = ei.get("Magnitude", {})
-        rows.append({
-            "ID": q.get("EarthquakeNo"),
-            "Time": ei.get("OriginTime"),
-            "Lat": _to_float(epic.get("EpicenterLatitude")),
-            "Lon": _to_float(epic.get("EpicenterLongitude")),
-            "Depth": _to_float(ei.get("FocalDepth")),
-            "Magnitude": _to_float(mag_info.get("MagnitudeValue")),
-            "Location": epic.get("Location"),
-            "URL": q.get("Web"),
-        })
-    df = pd.DataFrame(rows)
-    if not df.empty and "Time" in df.columns:
-        time_series = pd.to_datetime(df["Time"], errors="coerce")
-        if pd.api.types.is_datetime64_any_dtype(time_series):
-            df["Time"] = time_series.dt.tz_localize("UTC").dt.tz_convert(TAIPEI_TZ)
+    # ... (此函式內容不變) ...
     return df
 
 def fetch_significant_earthquakes(days: int = 7, limit: int = 5) -> str:
+    # ... (此函式內容不變) ...
+    return "\n\n".join(lines)
+
+
+# --- [新功能] 小區域有感地震 (E-A0016-001) ---
+def _normalize_cwa_area_name(area_name: str) -> str:
+    """自動校正縣市名稱，以符合 CWA API 查詢需求"""
+    area_name = area_name.replace("台", "臺")
+    if area_name.endswith("市") or area_name.endswith("縣"):
+        return area_name
+    
+    major_cities = "臺北,新北,基隆,桃園,新竹,臺中,嘉義,臺南,高雄".split(',')
+    if any(city in area_name for city in major_cities):
+         return f"{area_name}市"
+    else:
+         return f"{area_name}縣"
+
+def fetch_local_earthquakes(area_name: str, limit: int = 3) -> str:
+    """從 CWA 獲取指定地區的小區域有感地震報告"""
     if not CWA_API_KEY:
-        return "❌ 顯著地震查詢失敗：管理者尚未設定 CWA_API_KEY。"
+        return "❌ 查詢失敗：管理者尚未設定 CWA_API_KEY。"
     
-    now = datetime.now(timezone.utc)
-    time_from = (now - timedelta(days=days)).strftime("%Y-%m-%d")
-    params = {"Authorization": CWA_API_KEY, "format": "JSON", "timeFrom": time_from}
+    normalized_area = _normalize_cwa_area_name(area_name)
     
+    params = {
+        "Authorization": CWA_API_KEY,
+        "format": "JSON",
+        "limit": limit,
+        "AreaName": normalized_area,
+    }
     try:
-        r = requests.get(CWA_SIGNIFICANT_API, params=params, timeout=15)
+        r = requests.get(CWA_LOCAL_EQ_API, params=params, timeout=15)
         r.raise_for_status()
         data = r.json()
-        df = _parse_significant_earthquakes(data)
-        if df.empty:
-            return f"✅ 過去 {days} 天內沒有顯著有感地震報告。"
-
-        df = df.sort_values(by="Time", ascending=False).head(limit)
         
-        lines = [f"🚨 CWA 最新顯著有感地震 (近{days}天內):", "-" * 20]
-        for _, row in df.iterrows():
-            mag_str = f"{row['Magnitude']:.1f}" if pd.notna(row['Magnitude']) else "—"
-            depth_str = f"{row['Depth']:.0f}" if pd.notna(row['Depth']) else "—"
+        earthquakes = data.get("records", {}).get("Earthquake", [])
+        if not earthquakes:
+            return f"✅ 在「{normalized_area}」近期沒有小區域有感地震報告。"
+
+        lines = [f"🚨 「{normalized_area}」近期小區域有感地震:", "-" * 20]
+        for eq in earthquakes:
+            info = eq.get("earthquakeInfo", {})
+            epi = info.get("epiCenter", {})
+            mag = info.get("magnitude", {})
+            depth = info.get("depth", {})
             
+            # 提取各地區震度資訊
+            intensity_areas = eq.get("intensity", {}).get("shakingArea", [])
+            area_strs = []
+            for area in intensity_areas:
+                # 僅顯示有回報測站的地區
+                if area.get("areaIntensity") and float(area.get("areaIntensity", 0)) > 0:
+                    area_strs.append(f"{area.get('areaDesc')} {area.get('areaIntensity')}級")
+            intensity_str = "、".join(area_strs) if area_strs else "無具體震度回報"
+
             lines.append(
-                f"時間: {row['Time'].strftime('%Y-%m-%d %H:%M') if pd.notna(row['Time']) else '—'}\n"
-                f"地點: {row['Location'] or '—'}\n"
-                f"震級: M{mag_str} | 深度: {depth_str} km\n"
-                f"報告: {row['URL'] or '無'}"
+                f"報告: {eq.get('reportContent', '—')}\n"
+                f"時間: {info.get('originTime', '—')}\n"
+#                 f"地點: {epi.get('location', '—')}\n"
+                f"規模: M{mag.get('magnitudeValue', '—')} | 深度: {depth.get('value', '—')} km\n"
+                f"主要影響區域: {intensity_str}"
             )
         return "\n\n".join(lines)
         
     except Exception as e:
-        return f"❌ 顯著地震查詢失敗：{e}"
+        return f"❌ 小區域地震查詢失敗：{e}"