katanl-automationtest's Introduction

Kata NL Automation Test

This program is made for automate Kata NL Testing. You can test the NL by preparing a .txt file format that includes sentences and the label that the NL should recognize. The output of the test will be an excel file with an important information about the result.

Getting Started

These instructions will get you a copy of the project up and running on your local machine.

Prerequisites

Things you need to install:

Pyhton version 3.6 or above

Installing

A step by step series of examples that tell you how to get the program running

Clone this project (You know how to clone right?)
Once you already installed python, run: pip install -r requirements.txt
After all the packages required in the requirements.txt already installed. Open predict.py

Running the tests

In predict.py , you'll find the following variables:

TXT_INPUT_FILENAME = "datatraining"
EXCEL_OUTPUT_FILENAME = "Test Result After Training"
EXCEL_WORKSHEET_NAME = "Test Result"
BASE_DIR = 'F:\\Some\\Path'
NL_ID = "YOUR-NL-ID"
NL_TOKEN = "YOUR-NL-TOKEN"
THRESHOLD = 0.5
API_ENDPOINT = "https://geist.kata.ai/nlus/" + NL_ID + "/predict"

Usage

You can utilize those variable based on their function:

TXT_INPUT_FILENAME : file name with .txt extension for input

EXCEL_OUTPUT_FILENAME : file name for the excel output

EXCEL_WORKSHEET_NAME : worksheet name for the excel output

BASE_DIR : the base directory for TXT_INPUT_FILENAME

NL_ID : kata NL ID

NL_TOKEN : kata NL Token

THRESHOLD : minimum threshold for a sentence to passed the test

API_ENDPOINT : kata prediction API Endpoint

If all looks good, you can run predict.py and wait for the test result.

Contributing

Is something missing/incorrect? Please let me know by contacting [email protected]. If you know how to fix it straight away, don’t hesitate to create a pull request on this GitHub repository.

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