Sample Online Transactions Generator

This sample application generates Online Transaction log entries in the following format:

[ip_address], [user_id], [timestamp], [purchase_amount], [transaction_id], [credit_card_no], [order_no]

where:

• ip_address is a valid IP address from the complete IP address space
• user_id is an integer between 1 and 100 Million by default; upper count can be changed
• timestamp is a timestamp in ISO 8601 format (yyyy-MM-ddTHH:MM:SSZ)
• purchase_amount is a float with two decimal points precision
• transaction_id is a UUID
• credit_card_no is a masked credit card number in the following format:
  • ****-****-****-NNNN for MasterCard and Visa credit card numbers
  • ****-******-*NNNN for American Express credit card numbers
• order_no is a 6 characters string with random digits and letters in uppercase

Example log entry looks like this:

106.209.197.154,164605,2016-08-01T00:00:02Z,3093.82,684aa7fe-ab87-4862-b373-097375561aa1,****-****-****-0988,973EV1

The script works in two different modes:

• Historical transactions generator - Generates online transactions data between two specified dates. For this mode you need to specify how many transaction entries you would like to generate (default is 1M). It sends the data to the standard output but will stop when the maximum is reached
• Stream of online transactions - In this mode it continuously generates transactions with the current timestamp and sends them to the standard output

How to use this script?

You can start the script directly by using: $ python ./python/olt_generatory.py from a location where this README.md file is located or you can run the script in Docker.

Running the OLT generator Python script directly