Zoom Meeting CSV Parser

A simple Zoom meeting and webinar csv parser.

Basic Usage

import {
  zoom,

  // transformations
  camelCase,
  compact,
  deDupeByName,
  deDupeByIP,
  flatten,
  group,
  minutesInMeeting,
  pluck,
  toArray,
} from 'zsv';

// transformations are optional, you may supply your own or none at all
const [hosts, participants] = await zoom('example.csv', deDupeByName, camelCase, flatten);

// Do stuff with your hosts and participants
console.log(hosts);
console.log(participants);

Unaltered Meeting Participant

{
  participant: "archer",
  device: "Mac",
  ip_address: "192.168.241.19",
  location: "Milpitas (US )",
  network_type: "Wifi",
  join_time: "06:00 AM",
  leave_time: "06:03 AM",
  version: "3.5.64836.0908",
  audio__receiving_bitrate: "79 kbps",
  audio__sending_bitrate: "-",
  audio__receiving_latency: "77 ms",
  audio__sending_latency: "-",
  audio__receiving_jitter: "8 ms",
  audio__sending_jitter: "-",
  audio__receiving_packet_loss_avg_max: "0.15 %(0.65 %)",
  audio__sending_packet_loss_avg_max: "-(-)",
  video__receiving_bitrate: "-",
  video__sending_bitrate: "-",
  video__receiving_latency: "77 ms",
  video__sending_latency: "-",
  video__receiving_jitter: "9 ms",
  video__sending_jitter: "-",
  video__receiving_packet_loss_avg_max: "-(-)",
  video__sending_packet_loss_avg_max: "-(-)",
  video__receiving_resolution: "-",
  video__sending_resolution: "-",
  video__receiving_frame_rate: "-",
  video__sending_frame_rate: "-",
  screen_sharing__receiving_bitrate: "155 kbps",
  screen_sharing__sending_bitrate: "155 kbps",
  screen_sharing__receiving_latency: "78 ms",
  screen_sharing__sending_latency: "78 ms",
  screen_sharing__receiving_jitter: "11 ms",
  screen_sharing__sending_jitter: "9 ms",
  screen_sharing__receiving_packet_loss_avg_max: "-(-)",
  screen_sharing__sending_packet_loss_avg_max: "-(-)",
  screen_sharing__receiving_resolution: "2560*1440",
  screen_sharing__sending_resolution: "2560*1440",
  screen_sharing__receiving_frame_rate: "16 fps",
  screen_sharing__sending_frame_rate: "19 fps",
  zoom_min_cpu_usage: "4 %",
  zoom_avg_cpu_usage: "8 %",
  zoom_max_cpu_usage: "11 %",
  system_max_cpu_usage: "23 %"
}

Transformations

There are a number of included transformations that alter the structure of participant and host objects.

camelCase

Transforms fields to camel case

await zoom('meeting.csv', camelCase);

Output:

{
  participant: "archer",
  device: "Mac",
  ipAddress: "192.168.241.19",
  location: "Milpitas (US )",
  networkType: "Wifi",
  joinTime: "06:00 AM",
  leaveTime: "06:03 AM",
  ...
}

compact

Removes null and undefined values from webinar csv's

await zoom('webinar.csv', compact);

deDupeByName

Merge participants based on name (participant). May contain arrays of values.

await zoom('meeting.csv', deDupeByName);

Output:

{
  participant: "archer",
  device: "Mac",
  ip_address: "192.168.241.19",
  location: "Milpitas (US )",
  network_type: "Wifi",
  join_time: ["06:00 AM", "06:11 AM"],
  leave_time: ["06:03 AM", "06:37 AM"],
  ...
}

deDupeByIP

Merge participants based on IP. May contain arrays of values.

await zoom('meeting.csv', deDupeByIP);

Output:

{
  participant: ["archer", "Archer"],
  device: "Mac",
  ip_address: "192.168.241.19",
  location: "Milpitas (US )",
  network_type: "Wifi",
  join_time: ["06:00 AM", "06:11 AM"],
  leave_time: ["06:03 AM", "06:37 AM"],
  ...
}

flatten

Flatten array values after deDuping.

await zoom('meeting.csv', deDupeByIP, flatten);

Output:

{
  participant: "archer",
  device: "Mac",
  ip_address: "192.168.241.19",
  location: "Milpitas (US )",
  network_type: "Wifi",
  join_time: "06:00 AM",
  leave_time: "06:37 AM",
  ...
}

group

Group creates objects from similar field names, such as:

{
  screen_sharing__receiving_bitrate: "155 kbps",
  screen_sharing__sending_bitrate: "155 kbps"
}

await zoom('meeting.csv', group);

Output:

{
  screen_sharing: {
    receiving_bitrate: "155 kbps",
    sending_bitrate: "155 kbps",
    receiving_latency: "78 ms",
    sending_latency: "78 ms",
    receiving_jitter: "9 ms",
    sending_jitter: "9 ms",
    receiving_packet_loss_avg_max: "-(-)",
    sending_packet_loss_avg_max: "-(-)",
    receiving_resolution: "2560*1440",
    sending_resolution: "2560*1440",
    receiving_frame_rate: "16 fps",
    sending_frame_rate: "16 fps"
  },
  ...
}

minutesInMeeting

Attempts to calculate participant time spent in the meeting.
Adds new property minutes_in_meeting by default, or minutesInMeeting if camelCase transform has been utilized.

await zoom('meeting.csv', minutesInMeeting);

Output:

{
  participant: "archer",
  device: "Mac",
  ip_address: "192.168.241.19",
  location: "Milpitas (US )",
  ...
  minutes_in_meeting: 3
}

pluck

Pluck takes a list of field names to create a new object.

await zoom(
  'meeting.csv',
  pluck('participant', 'device', 'location', ['ip_address', 'network_type']),
);

Output:

{
  participant: "archer",
  ip_address: "192.168.241.19",
  device: "Mac",
  network_type: "Wifi",
  location: "Milpitas (US )"
}

toArray

Creates an array of key value pairs.

Output:

[
  [ 'participant', 'archer' ],
  [ 'device', 'Mac' ],
  [ 'ip_address', '192.168.241.19' ],
  [ 'location', 'Milpitas (US )' ],
  [ 'network_type', 'Wifi' ],
  [ 'join_time', '06:00 AM' ],
  [ 'leave_time', '06:03 AM' ],
  ...
]

Transforming with group before toArray will create multiple nested arrays.

[
  ['participant', 'archer'],
  [
    'audio',
    [
      ['receiving_bitrate', '79 kbps'],
      ['sending_bitrate', '-'],
      ['receiving_latency', '77 ms'],
      ['sending_latency', '-'],
      ['receiving_jitter', '8 ms'],
      ['sending_jitter', '-'],
      ['receiving_packet_loss_avg_max', '0.15 %(0.65 %)'],
      ['sending_packet_loss_avg_max', '-(-)'],
    ],
  ],
];

Custom Transforms

You may create your own custom transformations by supplying a function with the following interfaces:

function doStuff(participants) {
  // do stuff with the participants array
  for (const participant of participants) {
    // things are happening
  }

  // return array of participants
  return participants;
}

or:

function transform(field, value, participant) {
  // do stuff with participant

  participant[field] = `modified ${value}`;

  // return the modified participant
  return participant;
}

Caveats

Pluck attempts to transform both host and participant objects.
If you plan to work with the host object it might behoove you to utilize pluck after you receive the data objects.

const [hosts, participants] = await zoom('meeting.csv');
const plucked = pluck('participant', 'location')(participants);