npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

pidata

v1.1.0

Published

Manage test data for automation

Downloads

15

Readme

What is this about

This is a refreshing way to handle test data during test execution.

What are challenges with test data in an automation.

We feel test data throws different challanges to an ecosystem with focus on test automation.

####Chalenges

  • Broadly unorganized
  • Complex
  • Lacks a pattern or a defined standard
  • Each implementation comes with different challange
  • Least documented part of code
  • Difficult to manage for a large complex project

###What is the solution The solution is to exclude data from code, this makes data independantly managable. This also means automation engineers will not end up creating redundant code to generate same data.

##Data𝜋 Data𝜋 brings concept of data as service for test automation. Solution proposed is rather than embedding code to get or generate test data in code, keep it independent so its not complicated and maintainable. Data𝜋 is a service exposed over http which can be consumed by test code.

####Getting Started

$ npm install data-pi-test-data

####Example (app.js)

const datapi = require('datapi');
const crypto = require("crypto");
const mysql = require("mysql");

//generate unique number of specified length
datapi.dataHandler.get('/random', async (request, reply) => {
    var randomNumber = Math.floor(Math.random() * ((request.query.length == undefined) ? 1000 : parseInt(request.query.length))) + 1; 
    return  (JSON.stringify({random: randomNumber}));
  })

  //generated uniqueid
  datapi.dataHandler.get('/uuid', async (request, reply) => {
    const uid = crypto.randomBytes( ((request.query.length == undefined) ? 16 : parseInt(request.query.length))).toString("hex");
    return (JSON.stringify({uuid :uid }));
  })
  
  
  //example of DB
  datapi.dataHandler.get('/gerfromdb', async (request, reply) => {
        
        var connection = mysql.createConnection(
            {
                host     : 'testsrv2398472398',
                user     : 'testuser',
                password : 'testpassword',
                database : 'prime',
            }
        );

        connection.connect();
        var query = "SELECT data FROM mytable where my_condition=239874 LIMIT 1";                 
        connection1.query(query,function(err,rows){            
            if(err) {                
                console.log(err); 
				res.header('Content-type','application/json');	
                res.json({"Error" : true, "Message" : "Error executing MySQL query" + err}); 
				 res.status(200);	
            } else {
				res.header('Content-type','application/json');	
                 return (JSON.stringify({"cvr" : rows}));      
            }            
        });       
    })

 

datapi.start();

Execute following command to start service. $ node app.js

Services will be started at port 3000.

You can test this service by calling the get services from browser.

Example output

This data can be consumed by any test tool or automation solution developed in any programming language.

*Data may be in any database file or synthetic test data you want to create. With Data𝜋 as in you solution ecosystem, its possible to achieve this.