Prepare a new Dataset from Captured Network Recordings using Django REST Framework and JWT

by jayjohnson 6 years ago

GNU/Linux ◆ xterm-color ◆ bash 2415 views

Using Django REST Framework with JWT to authenticate and prepare a new dataset for analysis with a Deep Neural Network using Keras and Tensorflow.

Repository: https://github.com/jay-johnson/train-ai-with-django-swagger-jwt

How network capture recordings work: https://github.com/jay-johnson/network-pipeline

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You can download this recording in asciicast v1 format, as a .json file.

Download

Replay in terminal

You can replay the downloaded recording in your terminal using the asciinema play command:

asciinema play 160936.json

If you don't have asciinema CLI installed then see installation instructions.

Use with stand-alone player on your website

Download asciinema player from the releases page (you only need .js and .css file), then use it like this:

<!DOCTYPE html>
<html>
<head>
  <link rel="stylesheet" type="text/css" href="asciinema-player.css" />
</head>
<body>
  <div id="player"></div>
  <script src="asciinema-player.min.js"></script>
  <script>
    AsciinemaPlayer.create(
      '/assets/160936.json',
      document.getElementById('player'),
      { cols: 211, rows: 50 }
    );
  </script>
</body>
</html>

See asciinema player quick-start guide for full usage instructions.

While this site doesn't provide GIF conversion at the moment, you can still do it yourself with the help of asciinema GIF generator utility - agg.

Once you have it installed, generate a GIF with the following command:

agg https://asciinema.org/a/160936 demo.gif

Or, if you already downloaded the recording file:

agg demo.cast demo.gif

Check agg --help for all available options. You can change font family and size, select color theme, adjust speed and more.

See agg manual for full usage instructions.