新北市垃圾車提醒 CLI

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

garbage.py

@@ -0,0 +1,143 @@
+#!/usr/bin/env python3
+"""新北市垃圾車提醒 CLI。純 stdlib，無外部相依。
+
+用法:
+  ./garbage.py find <關鍵字>              # 搜尋清運點，取得 lineid 與經緯度
+  ./garbage.py watch --lat 25.01 --lng 121.52 --line 234007 [--radius 300] [--interval 120]
+
+find 幫你從表定路線挑到你家最近的清運點，watch 定時比對出勤車輛距離、靠近就提醒。
+"""
+import argparse
+import json
+import math
+import ssl
+import subprocess
+import sys
+import time
+import urllib.request
+
+# ponytail: 政府伺服器憑證缺 Subject Key Identifier，Python 3.14 嚴格模式會拒絕。
+# 這是公開、唯讀、免驗證的開放資料，關閉憑證驗證風險僅止於被餵假座標，可接受。
+_CTX = ssl._create_unverified_context()
+
+LIVE = "https://data.ntpc.gov.tw/api/datasets/28ab4122-60e1-4065-98e5-abccb69aaca6/json"
+ROUTES = "https://data.ntpc.gov.tw/api/datasets/edc3ad26-8ae7-4916-a00b-bc6048d19bf8/json"
+
+
+def fetch(url, size=1000, all_pages=False):
+    out, page = [], 0
+    while True:
+        u = f"{url}?page={page}&size={size}"
+        with urllib.request.urlopen(u, timeout=30, context=_CTX) as r:
+            batch = json.load(r)
+        out += batch
+        if not all_pages or len(batch) < size:
+            return out
+        page += 1
+
+
+def haversine(lat1, lng1, lat2, lng2):
+    """兩點間公尺距離。"""
+    R = 6371000
+    p1, p2 = math.radians(lat1), math.radians(lat2)
+    dp = math.radians(lat2 - lat1)
+    dl = math.radians(lng2 - lng1)
+    a = math.sin(dp / 2) ** 2 + math.cos(p1) * math.cos(p2) * math.sin(dl / 2) ** 2
+    return 2 * R * math.asin(math.sqrt(a))
+
+
+def cmd_find(args):
+    kw = args.keyword
+    hits = [
+        p for p in fetch(ROUTES, all_pages=True)
+        if kw in p["name"] or kw in p["village"] or kw in p["linename"] or kw in p["city"]
+    ]
+    if not hits:
+        print(f"找不到含「{kw}」的清運點")
+        return
+    for p in hits:
+        print(f'lineid={p["lineid"]:>7}  rank={p["rank"]:>3}  {p["time"]}  '
+              f'{p["city"]}{p["village"]} {p["name"]}  '
+              f'({p["latitude"]},{p["longitude"]})')
+    print(f"\n共 {len(hits)} 筆。挑一筆，把它的 lineid 和經緯度餵給 watch。")
+
+
+def notify(title, msg):
+    print(f"\a🚛 {title}: {msg}")  # \a 響鈴
+    # ponytail: macOS 原生通知；非 macOS 就只有上面那行
+    try:
+        subprocess.run(
+            ["osascript", "-e", f'display notification "{msg}" with title "{title}"'],
+            check=False,
+        )
+    except FileNotFoundError:
+        pass
+
+
+def cmd_watch(args):
+    alerted = False
+    while True:
+        try:
+            cars = [c for c in fetch(LIVE, size=200)
+                    if not args.line or c["lineid"] == args.line]
+        except Exception as e:
+            print(f"抓取失敗，稍後重試：{e}", file=sys.stderr)
+            time.sleep(args.interval)
+            continue
+
+        if not cars:
+            print(f"[{time.strftime('%H:%M:%S')}] 目前沒有出勤車輛（離峰或還沒發車）")
+        else:
+            nearest = min(
+                cars,
+                key=lambda c: haversine(args.lat, args.lng,
+                                        float(c["latitude"]), float(c["longitude"])),
+            )
+            d = haversine(args.lat, args.lng,
+                          float(nearest["latitude"]), float(nearest["longitude"]))
+            print(f"[{time.strftime('%H:%M:%S')}] 最近車輛 {nearest['car']} "
+                  f"距離 {d:.0f}m（{nearest['location']}，定位 {nearest['time']}）")
+            if d <= args.radius and not alerted:
+                notify("垃圾車快到了", f"約 {d:.0f} 公尺，{nearest['location']}")
+                alerted = True
+            elif d > args.radius * 1.5:
+                alerted = False  # 車開遠了，重置以便下一趟再提醒
+
+        time.sleep(args.interval)
+
+
+def demo():
+    # 台北車站 ↔ 永和保生路，約 4.3 公里
+    d = haversine(25.0478, 121.5170, 25.010365, 121.504743)
+    assert 4000 < d < 4700, d
+    assert haversine(25.0, 121.0, 25.0, 121.0) == 0
+    print("ok")
+
+
+def main():
+    ap = argparse.ArgumentParser(description="新北市垃圾車提醒")
+    sub = ap.add_subparsers(dest="cmd", required=True)
+
+    f = sub.add_parser("find", help="搜尋清運點")
+    f.add_argument("keyword", help="路線/里/點名/行政區關鍵字")
+    f.set_defaults(func=cmd_find)
+
+    w = sub.add_parser("watch", help="監看並提醒")
+    w.add_argument("--lat", type=float, required=True, help="你的清運點緯度")
+    w.add_argument("--lng", type=float, required=True, help="你的清運點經度")
+    w.add_argument("--line", help="只看這個 lineid（強烈建議填）")
+    w.add_argument("--radius", type=float, default=300, help="提醒距離公尺，預設 300")
+    w.add_argument("--interval", type=int, default=120, help="輪詢秒數，預設 120")
+    w.set_defaults(func=cmd_watch)
+
+    sub.add_parser("demo", help="自我測試").set_defaults(func=lambda a: demo())
+
+    args = ap.parse_args()
+    args.func(args)
+
+
+if __name__ == "__main__":
+    try:
+        main()
+    except KeyboardInterrupt:
+        print("\n收工")