83 lines
3.5 KiB
Bash
83 lines
3.5 KiB
Bash
#!/bin/bash
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# 批量添加 Uptime Kuma 监控（2026-09-13 第一批）
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# 说明：Uptime Kuma 官方 REST API 不支持创建监控，这里直接写入 SQLite（字段均有默认值），
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# 写完后重启容器，服务端会从 monitor 表重新加载并开始探测。
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set -e
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DB=/data/uptime-kuma/kuma.db
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echo "===== insert monitors ====="
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sudo python3 - <<'PY'
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import sqlite3, shutil, datetime
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DB = "/data/uptime-kuma/kuma.db"
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USER_ID = 1
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# 先备份数据库（含 WAL），便于回滚
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stamp = datetime.datetime.now().strftime("%Y%m%d%H%M")
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for ext in ("", "-wal", "-shm"):
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try:
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shutil.copy(DB + ext, "/tmp/kuma.db.backup.%s%s" % (stamp, ext))
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except Exception:
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pass
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print("backup -> /tmp/kuma.db.backup.%s" % stamp)
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# (名称, URL, 探测间隔秒, 最大重试, 排序权重(越小越前), 描述)
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MONITORS = [
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("管理后台 · admin.xpcool.com", "https://admin.xpcool.com", 60, 3, 1000, "Vue 管理后台前端"),
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("后端服务 · service.xpcool.com", "https://service.xpcool.com", 60, 3, 1000, "Go 后端服务"),
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("代码托管 · git.xpcool.com", "https://git.xpcool.com", 60, 3, 1000, "Gitea 代码托管"),
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("文件下载 · file.xpcool.com", "https://file.xpcool.com", 120, 2, 2000, "FileBrowser Quantum 只读下载"),
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("阅读 · read.xpcool.com", "https://read.xpcool.com", 120, 2, 2000, "legado 自托管阅读"),
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("工具站 · tool.xpcool.com", "https://tool.xpcool.com", 120, 2, 2000, "前端工具站"),
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("sub2api · sub2api.xpcool.com", "https://sub2api.xpcool.com", 120, 2, 2000, "sub2api 服务"),
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("网页 IDE · code.xpcool.com", "https://code.xpcool.com", 300, 2, 3000, "code-server 网页 IDE"),
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("监控面板 · status.xpcool.com", "https://status.xpcool.com", 300, 2, 3000, "Uptime Kuma 自身可用性"),
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]
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con = sqlite3.connect(DB, timeout=30)
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cur = con.cursor()
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existing = {r[0] for r in cur.execute("select name from monitor")}
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added = 0
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for name, url, interval, retries, weight, desc in MONITORS:
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if name in existing:
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print("SKIP exists:", name)
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continue
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cur.execute(
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"INSERT INTO monitor ("
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" name, active, user_id, interval, retry_interval, maxretries, url, type, method,"
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" weight, description, accepted_statuscodes_json, expiry_notification,"
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" domain_expiry_notification, upside_down, maxredirects, invert_keyword"
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") VALUES (?, 1, ?, ?, ?, ?, ?, 'http', 'GET', ?, ?, ?, 1, 0, 0, 10, 0)",
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(name, USER_ID, interval, interval, retries, url, weight, desc, '["200-399"]'),
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)
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print("ADD:", name, "-> id", cur.lastrowid)
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added += 1
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con.commit()
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print("added =", added, " total =", cur.execute("select count(*) from monitor").fetchone()[0])
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con.close()
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PY
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echo "===== restart uptime-kuma (reload monitors) ====="
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sudo docker restart uptime-kuma >/dev/null
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sleep 50
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echo "===== verify ====="
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sudo python3 - <<'PY'
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import sqlite3
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con = sqlite3.connect("file:/data/uptime-kuma/kuma.db?mode=ro", uri=True)
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print("monitors:")
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for row in con.execute("select id, name, type, interval, active from monitor order by weight, id"):
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print(" ", row)
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print("heartbeat rows:", con.execute("select count(*) from heartbeat").fetchone()[0])
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print("latest beats (monitor_id, status, time):")
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for row in con.execute("select monitor_id, status, time from heartbeat order by id desc limit 15"):
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print(" ", row)
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PY
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echo "===== container ====="
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sudo docker ps --filter name=uptime-kuma --format '{{.Names}} {{.Status}}'
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echo DONE
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