Skip to main content

command line for tcp ping

Project description

一个类似于 ping 的系统工具, 检测在连接 tcp 时候的延迟, 比较正确是反应出网络的延迟情况,毕竟 tcp 用途比较广。

虽然和 icmp 的 ping 原理不同,ping 命令也能很大程度上反映出网络的延迟, 但是该矫情还是要矫情一把的。


pip install tcping
➜  ~ tcping
Connected to[:80]: seq=1 time=236.44 ms
Connected to[:80]: seq=2 time=237.99 ms
Connected to[:80]: seq=3 time=248.88 ms
Connected to[:80]: seq=4 time=233.51 ms
Connected to[:80]: seq=5 time=249.23 ms
Connected to[:80]: seq=6 time=249.77 ms
Connected to[:80]: seq=7 time=235.82 ms
Connected to[:80]: seq=8 time=242.30 ms
Connected to[:80]: seq=9 time=248.26 ms
Connected to[:80]: seq=10 time=251.77 ms

---[:80] tcping statistics ---
10 connections, 10 successed, 0 failed, 100.00% success rate
minimum = 233.51ms, maximum = 251.77ms, average = 243.40ms


➜  ~ tcping --help
Usage: tcping [OPTIONS] HOST

  -p, --port INTEGER      Tcp port
  -c, --count INTEGER     Try connections counts
  -t, --timeout FLOAT     Timeout seconds
  --report / --no-report  Show report to replace statistics

其中这个 --report 可以生成一个 ascii 的 table,好看一点吧。。。

➜  ~ tcping -c 3 --report
Connected to[:80]: seq=1 time=237.79 ms
Connected to[:80]: seq=2 time=237.72 ms
Connected to[:80]: seq=3 time=258.53 ms

|      Host      | Port | Successed | Failed | Success Rate | Minimum  | Maximum  | Average  |
| |  80  |     3     |   0    |   100.00%    | 237.72ms | 258.53ms | 244.68ms |


其实写这个主要是为了测试搭建翻墙 VPS 的 tcp 延迟。。。

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for tcping, version 0.1.1rc1
Filename, size File type Python version Upload date Hashes
Filename, size tcping-0.1.1rc1-py2.7.egg (9.4 kB) File type Egg Python version 2.7 Upload date Hashes View
Filename, size tcping-0.1.1rc1-py2-none-any.whl (8.3 kB) File type Wheel Python version py2 Upload date Hashes View
Filename, size tcping-0.1.1rc1.tar.gz (4.1 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page