Adding copy to clipboard functionality in Angular application

Today, I had to work on an application that required copy to clipboard functionality. Below is a step by step tutorial that will help you add copy to clipboard functionality. The reason I had to implement copy to clipboard functionality is that with dnd-list copy feature gets broken so I needed a way to give user a copy functionality.

Angular version being used in Angular 5.

Step 1: Create Angular application

$ ng new myapp

Step 2: Install ngx-clipboard and ng2-toastr

$ npm install --save ng2-toastr ngx-clipboard

Step 3: Configure modules

In the app.module.ts, add ClipboardModule and ToastModule

import { ToastModule } from 'ng2-toastr/ng2-toastr';
import { ClipboardModule } from 'ngx-clipboard';
    imports: [
    declarations: [
    bootstrap: [AppComponent]
export class AppModule { }

Step 4: Add ngx-clipboard directive

Update app.component.html

<div class="col-11 p-2 lh-condensed">
      <h6 class="font-weight-bold">
        <div class="float-right">
          <i class="ft-chevron-down"></i>
          <div class="dropdown-menu">

Update app.component.html

  copyToClipboard() {
    this.toastr.success('Copied to clipboard', 'Success!');

Updating Angular Projects Generated By Angular CLI To Latest Version

Today, I wanted to update one of my starter projects to use the latest version of Angular. I built starter project with Angular 5.0.0 and I wanted to update it to latest Angular version which is 5.0.4. Below are the steps, you need to follow to update your project. Navigate to your project working directory and do the following:

Step 1: Remove node_modules

$ rm -rf node_modules/

Step 2: Update angular-cli dependency to latest version

You can check latest version at

Once you know the version, update the @angular/cli version in the package.json to the latest version.

Step 3: Install and run the upgrade

$ yarn install
$ yarn upgrade

yarn upgrade will update all the dependencies to the latest version.

Step 4: Run the application

Now, you can run the application using the yarn start -o command.

Sentiment Analysis in Scala with Stanford CoreNLP

In this post, we will learn how to use Stanford CoreNLP library for performing sentiment analysis of unstructured text in Scala.

Sentiment analysis or opinion mining is a field that uses natural language processing to analyze sentiments in a given text. It has applications in many domains ranging from marketing to customer service. Few years back, I wrote a simple Java application using Naive Bayes classifier to determine whether people liked a movie or not based on sentiment analysis of tweets about a movie. Continue reading “Sentiment Analysis in Scala with Stanford CoreNLP”

Docker REST API wget request and responses

This blog will list Docker wget requests. This assumes you are using boot2docker with https connection.

Create an Image

POST /images/create

$ wget --method=POST --header="Content-Type:application/json" --no-check-certificate 
--certificate=$DOCKER_CERT_PATH/cert.pem --private-key=$DOCKER_CERT_PATH/key.pem\?fromImage\=busybox -O - -v


--2015-10-03 14:15:07--
Connecting to connected.
WARNING: cannot verify's certificate, issued by '/O=shekhargulati':
  Unable to locally verify the issuer's authority.
HTTP request sent, awaiting response... 200 OK
Length: unspecified [application/json]
Saving to: 'STDOUT'

-                                                [<=>                                                                                            ]       0  --.-KB/s             {"status":"Pulling from library/busybox","id":"1-ubuntu"}
{"status":"Already exists","progressDetail":{},"id":"6003abefd7b2"}{"status":"Already exists","progressDetail":{},"id":"8171cf9d0131"}{"status":"Digest: sha256:e51c3b513c0b04603c32d6961858c5d380c94c1eb03ad8f66685ef3ddf280114"}
{"status":"Pulling from library/busybox","id":"1.21-ubuntu"}
-                                                [ <=>                                                                                           

List images with dangling true filter

GET /images/json

Docker REST API documentation does not give an example of how to pass filters . You have to JSON encode them. This means you have to first convert them to JSON like {"dangling":["true"]} and then use utility classes like Java’s URLEncoder.encode(json, to encode json.

$ wget -i --header="Content-Type:application/json" --no-check-certificate 
--certificate=$DOCKER_CERT_PATH/cert.pem --private-key=$DOCKER_CERT_PATH/key.pem -O - -v

Tag an image into a repository

POST /images/(name)/tag

$ wget --method=POST --header="Content-Type:application/json" --no-check-certificate 
--certificate=$DOCKER_CERT_PATH/cert.pem --private-key=$DOCKER_CERT_PATH/key.pem -O - -v

Get Container Logs

GET /containers/(id)/logs

$ wget --method=GET --header="Accept: application/vnd.docker.raw-stream" 
--no-check-certificate --certificate=$DOCKER_CERT_PATH/cert.pem 
--private-key=$DOCKER_CERT_PATH/key.pem -O - -v

Exec Start

POST /exec/(id)/start

wget --method=POST --header="Accept:application/vnd.docker.raw-stream" --header="Content-Type:application/json" --body-data '{"Detach": false,"Tty": false}' --no-check-certificate --certificate=$DOCKER_CERT_PATH/cert.pem --private-key=$DOCKER_CERT_PATH/key.pem -O - -v