stress-tool 1.0.1

Stress test tool with statistical TPS reports based on Worker Dispatcher in Python

Python Stress Tool

Stress test tool with statistical TPS reports based on Worker Dispatcher in Python

Features

• Based on Worker Dispatcher to managed workers

• Statistical TPS Report in Excel sheets

• Customized Config for the report

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OUTLINE

• Demonstration
• Introduction
• Installation

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DEMONSTRATION

Just write your own callback functions based on the Worker Dispatcher library, then run it and generate the report file:

import stress_test

def each_task(id: int, config, task, log):
    response = requests.get(config['my_endpoint'] + task)
    return response

def main():

    results = stress_test.start({
        'task': {
            'list': ['ORD_AH001', 'ORD_KL502', '...' , 'ORD_GR393'],
            'callback': each_task,
            'config': {
                'my_endpoint': 'https://your.name/order-handler/'
            },
        }
    })

    if results != False:

        file_path = stress_test.generate_report(file_path='./tps-report.xlsx')
        print("Report has been successfully generated at {}".format(file_path))

if __name__ == '__main__':
    main()

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INTRODUCTION

This tool generates professional TPS report based on the execution result from the Worker Dispatcher library.

Dependencies:

• worker-dispatcher
• openpyxl

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INSTALLATION

To install the current release:

$ pip install stress-tool

Import it in your Pythone code:

import stress_test

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USAGE

By calling the start() method with the configuration parameters, the package will invoke Worker Dispatcher to dispatch tasks, managing threading or processing based on the provided settings. Once the tasks are completed, generate_report() can be called to produce a TPS report based on the result of Worker Dispatcher.

generate_report()

An example configuration setting with all options is as follows:

def generate_report(config: dict={}, worker_dispatcher: object=None, file_path: str='./tps-report.xlsx'):

config

Option	Type	Deafult	Description
raw_logs.fields	dict	None	Customized field setting for the Raw Logs sheet. Key is field name, the value can be two types: - String: Grab from the key name of the log from Worker Dispacther. - lambda function: