Implementing User Input guide and using Semantic-UI Tables

Badgeyay project is divided into two parts i.e front-end with Ember JS and back-end with REST-API programmed in Python.

Badgeyay comes with many features for customising the process of generation of Badges. It gives freedom to user to choose Input Badge data which is to be printed on the individual badges, choosing the badge size, applying custom background to the badges and then optional features of font customization helps to generate cool badges. If a helper is not there for the directions to use these features then these features may be difficult to use for a user.

To resolve this issue and make Badgeyay more user friendly I have implemented a User Guide to help user to go through the User Manual before generating Badges in my Pull Request.

To implement user guide, I have used Semantic UI tables to give examples for CSV format and used other components for Manual format.

Let’s get started and understand it step by step.

Step 1:

Create User Guide component with Ember CLI.

$ ember g  component  user-component/user-guide


Step 2:

Now, We will use Semantic UI while editing Handlebars.

class="ui center aligned huge header">User-Input Guide
class="ui center aligned small header"> Please check what is the "Correct Format"?
class="ui segments">
class="ui segment">
class="ui raised segment">
class="ui header"> class="file excel icon">
class="content"> CSV Format
</div> </div>
class="ui bulleted list">
class="item">The CSV must be uploaded with 5 columns of data.
class="item">Five comma (',') seperated values should be present in the CSV
class="item">See Example Below
<table class="ui celled structured table"> <thead> <tr> <th rowspan="2">First Name</th> <th rowspan="2">Last Name</th> <th rowspan="2">Position</th> <th rowspan="2">Organisation/Project</th> <th rowspan="2">Social Handle</th> </tr> </thead> <tbody> <tr> <td>Deepjyoti</td> <td>Mondal</td> <td>Mentor</td> <td>FOSSASIA</td> <td>@djmgit</td> </tr> <tr> <td>Yash</td> <td>Ladha</td> <td>Developer</td> <td>Badgeyay</td> <td>@yashladha</td> </tr> <tr> <td>Manish</td> <td>Devgan</td> <td>Developer</td> <td>Badgeyay</td> <td>@gabru-md</td> </tr> <tr> <td>Parth</td> <td>Shandilya</td> <td>Developer</td> <td>Badgeyay</td> <td>@ParthS007</td> </tr> </tbody> </table> </div> </div>
class="ui segment">
class="ui raised segment">
class="ui header"> class="edit icon">
class="content"> Manual Data Format
</div> </div>
class="ui bulleted list">
class="item">Format for Manual data is same as CSV's data
class="item">Five comma (',') seperated values on each line is the correct format
class="item">See Example below
class="ui segment">





</div> </div> </div> </div>


Step 3:

Link it with Create Badges as a tooltip in the first accordian of create badges route.

<a class="ui icon orange button guide" href="{{href-to 'user-guide'}}" data-tooltip="User Input Guide" data-position="right center"><i class="info icon"></i></a>


I have implemented the user guide for the user to go through the User Manual before generating Badges.

Step 4::

Now run the server to see the implemented changes by following command.

$ ember serve


User Guide Component

Tooltip present in the create badges form.

Now, we are done implementing a User Guide to help user to go through the User Manual before generating Badges.


  1. Ember Docs –  Link
  2. Badgeyay Repository – Link
  3. Issue Link – Link
  4. Semantic UI –  LInk
Continue ReadingImplementing User Input guide and using Semantic-UI Tables

User Guide for the PSLab Remote-Access Framework

The remote-lab framework of the pocket science lab has been designed to enable user to access their devices remotely via the internet. The pslab-remote repository includes an API server built with Python-Flask and a webapp that uses EmberJS. This post is a guide for users who wish to test the framework. A series of blog posts have been previously written which have explored and elaborated various aspect of the remote-lab such as designing the API server, remote execution of function strings, automatic deployment on various domains etc. In this post, we shall explore how to execute function strings, execute example scripts, and write a script ourselves.

A live demo is hosted at . The API server is hosted at, and an API reference which is being developed can be accessed at . A screencast of the remote lab is also available

Create an account

Signing up at this point is very straightforward, and does not include any third party verification tools since the framework is under active development, and cannot be claimed to be ready for release yet.

Click on the sign-up button, and provide a username, email, and password. The e-mail will be used as the login-id, and needs to be unique.

Login to the remote lab

Use the email-id used for signing up, enter the password, and the app will redirect you to your new home-page, where you will be greeted with a similar screen.

Your home-page

On the home-page, you will find that the first section includes a text box for entering a function string, and an execute button. Here, you can enter any valid PSLab function such as `get_resistance()` , and click on the execute button in order to run the function on the PSLab device connected to the API server, and view the results. A detailed blog post on this process can be found here.

Since this is a new account, no saved scripts are present in the Your Scripts section. We will come to that shortly, but for now, there are some pre-written example scripts that will let you test them as well as view their source code in order to copy into your own collection, and modify them.

Click on the play icon next to `` in order to run the script. The eye icon to the right of the row enables you to view the source code, but this can also be done while the app is running. The multimeter app looks something like this, and you can click on the various buttons to try them out.

You may also click on the Source Code tab in order to view the source

Create and execute a small python script

We can now try to create a simple script of our own. Click on the `New Python Script` button in the top-bar to navigate to a page that will allow you to create and save your own scripts. We shall write a small 3-line code to print some sinusoidal coordinates, save it, and test it. Copy the following code for a sine wave with 30 points, and publish your script.

import numpy as np
print (x, np.sin(x))

Create a button widget and associate a callback to the get_voltage function

A small degree of object oriented capabilities have also been added, and the pslab-remote allows you to create button widgets and associate their targets with other widgets and labels.
The multimeter demo script uses this feature, and a single line of code suffices to demonstrate this feature.

button('Voltage on CH1 >',"get_voltage('CH1')","display_number")

You can copy the above line into a new script in order to try it out.

Associate a button’s callback to the capture routines, and set the target as a plot

The callback target for a button can be set to point to a plot. This is useful if the callback involves arrays such as those returned by the capture routines.

Example code to show a sine wave in a plot, and make button which will replace it with captured data from the oscilloscope:

import numpy as np
plt = plot(x, np.sin(x))
button('capture 1',"capture1('CH1',100,10)","update-plot",target=plt)
Figure: Demo animation from the plot_test example. Capture1 is connected to the plot shown.
Continue ReadingUser Guide for the PSLab Remote-Access Framework