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Add and Edit Groups in Batch Mode
Add and Edit Groups in Batch Mode
Barracuda Admin avatar
Written by Barracuda Admin
Updated over a year ago

access-cli supports adding and editing groups in batch mode, importing data from JSON or CSV files. Batch operations on groups use the common batch mode flags.

  • JSON files should contain an array of objects, each containing the fields for each group you wish to add or edit.

  • CSV files should be comma-separated. They must contain a header, specifying the fields and their order, followed by the records (one per line).

When editing groups, unspecified non-mandatory fields remain unchanged.

Fields

The expected fields for each format are as follows:

JSON Field Name

JSON Type

CSV Field Name

Example

Description

Mandatory

id

integer

ID

123

ID of the group to edit.
Used only when editing

When editing

name

string

Name

QA

Name of the group

When adding

description

string

Description

Quality Assurance personnel

Description of the group

No

File Examples

Field order can be different from what is shown in the examples, and non-mandatory fields can be omitted. When using CSV, make sure to specify the correct field order in the header, and to maintain the order and number of fields consistent throughout each line.

Adding Groups

JSON

[
{
"name": "Group 1", "description": "First group", "color": "#FF0000"
},
{
"name": "Group 2", "description": "Second group", "color": "#00FF00"
}
]

$ access-cli groups add --from-file=example.json

CSV

Name,Description,Color
Group 1,First group,#FF0000
Group 2,Second group,#00FF00

$ access-cli groups add --from-file=example.csv --file-format=csv

Editing Groups

JSON

 [
{
"id": 123, "name": "Group 1",
"description": "First group", "color": "#5F6600"
},
{
"id": 456, "name": "Another group",
"description": "Second group", "color": "#11FF44"
}
]

$ access-cli groups edit --from-file=example.json

CSV

ID,Name,Description,Color
123,Group 1,First group,#5F6600
456,Another group,Second group,#11FF44

$ access-cli groups edit --from-file=example.csv --file-format=csv

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