The user data for a PTT Pro customer is contained in a CSV. The customer uploads their user data to the Workcloud Communication IDP using SFTP. A customer administrator can verify that users are added or removed by viewing the users in the PTT Pro server. The import script runs every hour on the hour.
Errors in the CSV file can disrupt the PTT service for users. Verify the data and format of the CSV file prior to uploading the file.
The first row of the CSV file contains the column headers. The column headers are not required, but the columns must appear in the order specified below. The CSV fields cannot contain spaces.
User Data
Employee ID
First Name
Last Name
Department
Customer
PTT Group
ESN
Time of Change
password
domainuser
Mandatory
Mandatory
Mandatory
Mandatory
Mandatory
Mandatory
Not Used
Not Used
Mandatory
Mandatory
Fields that are not used must be included in the CSV file to ensure that the file is properly processed.
Employee ID
A unique identifier for the user must be lowercase. The identifier is used for logging in to Zebra PTT Pro.
First Name
Used for the display name of the user.
Last Name
Used for the display name of the user.
Department
The department the user is added to. The department must already exist in the PTT Pro Server before import. The CSV import process does not create a department.
Customer
Leave blank.
PTT Group
The groups in the PTT Pro Server the user is a member of. The groups must already exist because the CSV process does not create a group. Use a semicolon (;) as a delimiter to specify additional groups. A maximum of 10 groups can be specified in the CSV file. The maximum number of groups can be modified by Zebra in the IDP configuration.
ESN
Leave blank. This field is reserved for future use but must be included in the CSV.
Time of change
Leave blank. This field is reserved for future use but must be included in the CSV.
Password
The password for the user. The password is provided to the IDP.
DomainUser
Must be a valid email address and each user must have a unique email address.
