How To Populate DropDown List With Options From Array Using Javascript [ with source code ]

In This Javascript Tutorial we will See How To Add A Options To Select And Set Attribute To Option From Array Using For Loop In JS And Netbeans Editor .

Subscribe : https://www.youtube.com/channel/UCS3W5vFugqi6QcsoAIHcMpw

Project Source Code:


<!DOCTYPE html>
<html>
    <head>
        <title>Add Option From Array</title>
        <meta charset="windows-1252">
        <meta name="viewport" content="width=device-width, initial-scale=1.0">
    </head>
    <body>

        <select id="select">
            <option value="default">default</option>
        </select>
        
        <script>
            
            var select = document.getElementById("select"),
                     arr = ["html","css","java","javascript","php","c++","node.js","ASP","JSP","SQL"];
             
             for(var i = 0; i < arr.length; i++)
             {
                 var option = document.createElement("OPTION"),
                     txt = document.createTextNode(arr[i]);
                 option.appendChild(txt);
                 option.setAttribute("value",arr[i]);
                 select.insertBefore(option,select.lastChild);
             }
             
        </script>

    </body>
</html>


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How To Populate DropDown List With Options From Array Using Javascript [ with source code ]

How to Create the Custom Radio Buttons using only HTML & CSS

In this guide you’ll learn how to create the Custom Radio Buttons using only HTML & CSS.

To create the custom radio buttons using only HTML & CSS. First, you need to create two Files one HTML File and another one is CSS File.

1: First, create an HTML file with the name of index.html

<!DOCTYPE html>
<html lang="en" dir="ltr">
  <head>
    <meta charset="utf-8">
    <title>Custom Radio Buttons | Codequs</title>
    <link rel="stylesheet" href="style.css">
  </head>
  <body>
    <div class="wrapper">
      <input type="radio" name="select" id="option-1" checked>
      <input type="radio" name="select" id="option-2">
      <label for="option-1" class="option option-1">
        <div class="dot"></div>
        <span>Student</span>
      </label>
      <label for="option-2" class="option option-2">
        <div class="dot"></div>
        <span>Teacher</span>
      </label>
    </div>
  </body>
</html>

 

2: Second, create a CSS file with the name of style.css

 

@import url('https://fonts.googleapis.com/css?family=Poppins:400,500,600,700&display=swap');
*{
  margin: 0;
  padding: 0;
  box-sizing: border-box;
  font-family: 'Poppins', sans-serif;
}
html,body{
  display: grid;
  height: 100%;
  place-items: center;
  background: #0069d9;
}
.wrapper{
  display: inline-flex;
  background: #fff;
  height: 100px;
  width: 400px;
  align-items: center;
  justify-content: space-evenly;
  border-radius: 5px;
  padding: 20px 15px;
  box-shadow: 5px 5px 30px rgba(0,0,0,0.2);
}
.wrapper .option{
  background: #fff;
  height: 100%;
  width: 100%;
  display: flex;
  align-items: center;
  justify-content: space-evenly;
  margin: 0 10px;
  border-radius: 5px;
  cursor: pointer;
  padding: 0 10px;
  border: 2px solid lightgrey;
  transition: all 0.3s ease;
}
.wrapper .option .dot{
  height: 20px;
  width: 20px;
  background: #d9d9d9;
  border-radius: 50%;
  position: relative;
}
.wrapper .option .dot::before{
  position: absolute;
  content: "";
  top: 4px;
  left: 4px;
  width: 12px;
  height: 12px;
  background: #0069d9;
  border-radius: 50%;
  opacity: 0;
  transform: scale(1.5);
  transition: all 0.3s ease;
}
input[type="radio"]{
  display: none;
}
#option-1:checked:checked ~ .option-1,
#option-2:checked:checked ~ .option-2{
  border-color: #0069d9;
  background: #0069d9;
}
#option-1:checked:checked ~ .option-1 .dot,
#option-2:checked:checked ~ .option-2 .dot{
  background: #fff;
}
#option-1:checked:checked ~ .option-1 .dot::before,
#option-2:checked:checked ~ .option-2 .dot::before{
  opacity: 1;
  transform: scale(1);
}
.wrapper .option span{
  font-size: 20px;
  color: #808080;
}
#option-1:checked:checked ~ .option-1 span,
#option-2:checked:checked ~ .option-2 span{
  color: #fff;
}

Now you’ve successfully created Custom Radio Buttons using only HTML & CSS.

Rate Limit Auto-configure for Spring Cloud Netflix Zuul

Overview

Module to enable rate limit per service in Netflix Zuul.

There are five built-in rate limit approaches:

  • Authenticated User
    • Uses the authenticated username or 'anonymous'
  • Request Origin
    • Uses the user origin request
  • URL
    • Uses the request path of the downstream service
  • URL Pattern
    • Uses the request Ant path pattern to the downstream service
  • ROLE
    • Uses the authenticated user roles
  • Request method
    • Uses the HTTP request method
  • Request header
    • Uses the HTTP request header
  • Global configuration per service:
    • This one does not validate the request Origin, Authenticated User or URI
    • To use this approach just don’t set param 'type'
NoteIt is possible to combine Authenticated User, Request Origin, URL, ROLE and Request Method just adding multiple values to the list

Usage

NoteLatest version: Maven Central
NoteIf you are using Spring Boot version 1.5.x you MUST use Spring Cloud Zuul RateLimit version 1.7.x. Please take a look at the Maven Central and pick the latest artifact in this version line.

Add the dependency on pom.xml

<dependency>
    <groupId>com.marcosbarbero.cloud</groupId>
    <artifactId>spring-cloud-zuul-ratelimit</artifactId>
    <version>${latest-version}</version>
</dependency>

Add the following dependency accordingly to the chosen data storage:

Redis

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>

Consul

<dependency>
   <groupId>org.springframework.cloud</groupId>
   <artifactId>spring-cloud-starter-consul</artifactId>
</dependency>

Spring Data JPA

<dependency>
   <groupId>org.springframework.boot</groupId>
   <artifactId>spring-boot-starter-data-jpa</artifactId>
</dependency>

This implementation also requires a database table, bellow here you can find a sample script:

CREATE TABLE rate (
  rate_key VARCHAR(255) NOT NULL,
  remaining BIGINT,
  remaining_quota BIGINT,
  reset BIGINT,
  expiration TIMESTAMP,
  PRIMARY KEY(rate_key)
);

Bucket4j JCache

<dependency>
     <groupId>com.github.vladimir-bukhtoyarov</groupId>
     <artifactId>bucket4j-core</artifactId>
</dependency>
<dependency>
     <groupId>com.github.vladimir-bukhtoyarov</groupId>
     <artifactId>bucket4j-jcache</artifactId>
</dependency>
<dependency>
     <groupId>javax.cache</groupId>
     <artifactId>cache-api</artifactId>
</dependency>

Bucket4j Hazelcast (depends on Bucket4j JCache)

<dependency>
     <groupId>com.github.vladimir-bukhtoyarov</groupId>
     <artifactId>bucket4j-hazelcast</artifactId>
</dependency>
<dependency>
     <groupId>com.hazelcast</groupId>
     <artifactId>hazelcast</artifactId>
</dependency>

Bucket4j Infinispan (depends on Bucket4j JCache)

<dependency>
     <groupId>com.github.vladimir-bukhtoyarov</groupId>
     <artifactId>bucket4j-infinispan</artifactId>
</dependency>
<dependency>
     <groupId>org.infinispan</groupId>
     <artifactId>infinispan-core</artifactId>
</dependency>

Bucket4j Ignite (depends on Bucket4j JCache)

<dependency>
     <groupId>com.github.vladimir-bukhtoyarov</groupId>
     <artifactId>bucket4j-ignite</artifactId>
</dependency>
<dependency>
     <groupId>org.apache.ignite</groupId>
     <artifactId>ignite-core</artifactId>
</dependency>

Sample YAML configuration

zuul:
  ratelimit:
    key-prefix: your-prefix
    enabled: true
    repository: REDIS
    behind-proxy: true
    add-response-headers: true
    deny-request:
      response-status-code: 404 #default value is 403 (FORBIDDEN)
      origins:
        - 200.187.10.25
        - somedomain.com
    default-policy-list: #optional - will apply unless specific policy exists
      - limit: 10 #optional - request number limit per refresh interval window
        quota: 1000 #optional - request time limit per refresh interval window (in seconds)
        refresh-interval: 60 #default value (in seconds)
        type: #optional
          - user
          - origin
          - url
          - http_method
    policy-list:
      myServiceId:
        - limit: 10 #optional - request number limit per refresh interval window
          quota: 1000 #optional - request time limit per refresh interval window (in seconds)
          refresh-interval: 60 #default value (in seconds)
          type: #optional
            - user
            - origin
            - url
        - type: #optional value for each type
            - user=anonymous
            - origin=somemachine.com
            - url=/api #url prefix
            - role=user
            - http_method=get #case insensitive
            - http_header=customHeader
        - type:
            - url_pattern=/api/*/payment

Sample Properties configuration

zuul.ratelimit.enabled=true
zuul.ratelimit.key-prefix=your-prefix
zuul.ratelimit.repository=REDIS
zuul.ratelimit.behind-proxy=true
zuul.ratelimit.add-response-headers=true

zuul.ratelimit.deny-request.response-status-code=404
zuul.ratelimit.deny-request.origins[0]=200.187.10.25
zuul.ratelimit.deny-request.origins[1]=somedomain.com

zuul.ratelimit.default-policy-list[0].limit=10
zuul.ratelimit.default-policy-list[0].quota=1000
zuul.ratelimit.default-policy-list[0].refresh-interval=60

# Adding multiple rate limit type
zuul.ratelimit.default-policy-list[0].type[0]=user
zuul.ratelimit.default-policy-list[0].type[1]=origin
zuul.ratelimit.default-policy-list[0].type[2]=url
zuul.ratelimit.default-policy-list[0].type[3]=http_method

# Adding the first rate limit policy to "myServiceId"
zuul.ratelimit.policy-list.myServiceId[0].limit=10
zuul.ratelimit.policy-list.myServiceId[0].quota=1000
zuul.ratelimit.policy-list.myServiceId[0].refresh-interval=60
zuul.ratelimit.policy-list.myServiceId[0].type[0]=user
zuul.ratelimit.policy-list.myServiceId[0].type[1]=origin
zuul.ratelimit.policy-list.myServiceId[0].type[2]=url

# Adding the second rate limit policy to "myServiceId"
zuul.ratelimit.policy-list.myServiceId[1].type[0]=user=anonymous
zuul.ratelimit.policy-list.myServiceId[1].type[1]=origin=somemachine.com
zuul.ratelimit.policy-list.myServiceId[1].type[2]=url_pattern=/api/*/payment
zuul.ratelimit.policy-list.myServiceId[1].type[3]=role=user
zuul.ratelimit.policy-list.myServiceId[1].type[4]=http_method=get
zuul.ratelimit.policy-list.myServiceId[1].type[5]=http_header=customHeader

Both 'quota' and 'refresh-interval', can be expressed with Spring Boot’s duration formats:

A regular long representation (using seconds as the default unit)

The standard ISO-8601 format used by java.time.Duration (e.g. PT30M means 30 minutes)

A more readable format where the value and the unit are coupled (e.g. 10s means 10 seconds)

Available implementations

There are eight implementations provided:

ImplementationData Storage
ConsulRateLimiterConsul
RedisRateLimiterRedis
SpringDataRateLimiterSpring Data
Bucket4jJCacheRateLimiterBucket4j
Bucket4jHazelcastRateLimiter
Bucket4jIgniteRateLimiter
Bucket4jInfinispanRateLimiter

Bucket4j implementations require the relevant bean with @Qualifier("RateLimit"):

JCache - javax.cache.Cache

Hazelcast - com.hazelcast.map.IMap

Ignite - org.apache.ignite.IgniteCache

Infinispan - org.infinispan.functional.ReadWriteMap

Common application properties

Property namespace: zuul.ratelimit

Property nameValuesDefault Value
enabledtrue/falsefalse
behind-proxytrue/falsefalse
response-headersNONE, STANDARD, VERBOSEVERBOSE
key-prefixString${spring.application.name:rate-limit-application}
repositoryCONSUL, REDIS, JPA, BUCKET4J_JCACHE, BUCKET4J_HAZELCAST, BUCKET4J_INFINISPAN, BUCKET4J_IGNITE-
deny-requestDenyRequest-
default-policy-listList of Policy-
policy-listMap of Lists of Policy-
postFilterOrderintFilterConstants.SEND_RESPONSE_FILTER_ORDER - 10
preFilterOrderintFilterConstants.FORM_BODY_WRAPPER_FILTER_ORDER

Deny Request properties

Property nameValuesDefault Value
originslist of origins to have the access denied-
response-status-codethe http status code to be returned on a denied request403 (FORBIDDEN)

Policy properties:

Property nameValuesDefault Value
limitnumber of requests-
quotatime of requests-
refresh-intervalseconds60
type[ORIGIN, USER, URL, URL_PATTERN, ROLE, HTTP_METHOD, HTTP_HEADER][]
breakOnMatchtrue/falsefalse

Further Customization

This section details how to add custom implementations

Key Generator

If the application needs to control the key strategy beyond the options offered by the type property then it can be done just by creating a custom RateLimitKeyGenerator bean[1] implementation adding further qualifiers or something entirely different:

  @Bean
  public RateLimitKeyGenerator ratelimitKeyGenerator(RateLimitProperties properties, RateLimitUtils rateLimitUtils) {
      return new DefaultRateLimitKeyGenerator(properties, rateLimitUtils) {
          @Override
          public String key(HttpServletRequest request, Route route, RateLimitProperties.Policy policy) {
              return super.key(request, route, policy) + ":" + request.getMethod();
          }
      };
  }

Error Handling

This framework uses 3rd party applications to control the rate limit access and these libraries are out of control of this framework. If one of the 3rd party applications fails, the framework will handle this failure in the DefaultRateLimiterErrorHandler class which will log the error upon failure.

If there is a need to handle the errors differently, it can be achieved by defining a custom RateLimiterErrorHandler bean[2], e.g:

  @Bean
  public RateLimiterErrorHandler rateLimitErrorHandler() {
    return new DefaultRateLimiterErrorHandler() {
        @Override
        public void handleSaveError(String key, Exception e) {
            // custom code
        }

        @Override
        public void handleFetchError(String key, Exception e) {
            // custom code
        }

        @Override
        public void handleError(String msg, Exception e) {
            // custom code
        }
    }
  }

Event Handling

If the application needs to be notified when a rate limit access was exceeded then it can be done by listening to RateLimitExceededEvent event:

    @EventListener
    public void observe(RateLimitExceededEvent event) {
        // custom code
    }

Contributing

Spring Cloud Zuul Rate Limit is released under the non-restrictive Apache 2.0 license, and follows a very standard Github development process, using Github tracker for issues and merging pull requests into master. If you want to contribute even something trivial please do not hesitate, but follow the guidelines below.

Download Details:
Author: marcosbarbero
Source Code: https://github.com/marcosbarbero/spring-cloud-zuul-ratelimit
License: Apache-2.0 License

#spring  #spring-boot  #java 

I am Developer

1597487833

Country State City Drop Down List using Ajax in Laravel

Here, i will show you how to create dynamic depedent country state city dropdown list using ajax in laravel.

Country State City Dropdown List using Ajax in php Laravel

Follow Below given steps to create dynamic dependent country state city dropdown list with jQuery ajax in laravel:

  • Step 1: Install Laravel App
  • Step 2: Add Database Details
  • Step 3: Create Country State City Migration and Model File
  • Step 4: Add Routes For Country State City
  • Step 5: Create Controller For Fetch Country State City
  • Step 6: Create Blade File For Show Dependent Country State City in Dropdown
  • Step 7: Run Development Server

https://www.tutsmake.com/ajax-country-state-city-dropdown-in-laravel/

#how to create dynamic dropdown list using laravel dynamic select box in laravel #laravel-country state city package #laravel country state city drop down #dynamic dropdown country city state list in laravel using ajax #country state city dropdown list using ajax in php laravel #country state city dropdown list using ajax in laravel demo

Lowa Alice

Lowa Alice

1624388400

JavaScript Arrays Tutorial. DO NOT MISS!!!

Learn JavaScript Arrays

📺 The video in this post was made by Programming with Mosh
The origin of the article: https://www.youtube.com/watch?v=oigfaZ5ApsM&list=PLTjRvDozrdlxEIuOBZkMAK5uiqp8rHUax&index=4
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Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#arrays #javascript #javascript arrays #javascript arrays tutorial

Tyrique  Littel

Tyrique Littel

1604008800

Static Code Analysis: What It Is? How to Use It?

Static code analysis refers to the technique of approximating the runtime behavior of a program. In other words, it is the process of predicting the output of a program without actually executing it.

Lately, however, the term “Static Code Analysis” is more commonly used to refer to one of the applications of this technique rather than the technique itself — program comprehension — understanding the program and detecting issues in it (anything from syntax errors to type mismatches, performance hogs likely bugs, security loopholes, etc.). This is the usage we’d be referring to throughout this post.

“The refinement of techniques for the prompt discovery of error serves as well as any other as a hallmark of what we mean by science.”

  • J. Robert Oppenheimer

Outline

We cover a lot of ground in this post. The aim is to build an understanding of static code analysis and to equip you with the basic theory, and the right tools so that you can write analyzers on your own.

We start our journey with laying down the essential parts of the pipeline which a compiler follows to understand what a piece of code does. We learn where to tap points in this pipeline to plug in our analyzers and extract meaningful information. In the latter half, we get our feet wet, and write four such static analyzers, completely from scratch, in Python.

Note that although the ideas here are discussed in light of Python, static code analyzers across all programming languages are carved out along similar lines. We chose Python because of the availability of an easy to use ast module, and wide adoption of the language itself.

How does it all work?

Before a computer can finally “understand” and execute a piece of code, it goes through a series of complicated transformations:

static analysis workflow

As you can see in the diagram (go ahead, zoom it!), the static analyzers feed on the output of these stages. To be able to better understand the static analysis techniques, let’s look at each of these steps in some more detail:

Scanning

The first thing that a compiler does when trying to understand a piece of code is to break it down into smaller chunks, also known as tokens. Tokens are akin to what words are in a language.

A token might consist of either a single character, like (, or literals (like integers, strings, e.g., 7Bob, etc.), or reserved keywords of that language (e.g, def in Python). Characters which do not contribute towards the semantics of a program, like trailing whitespace, comments, etc. are often discarded by the scanner.

Python provides the tokenize module in its standard library to let you play around with tokens:

Python

1

import io

2

import tokenize

3

4

code = b"color = input('Enter your favourite color: ')"

5

6

for token in tokenize.tokenize(io.BytesIO(code).readline):

7

    print(token)

Python

1

TokenInfo(type=62 (ENCODING),  string='utf-8')

2

TokenInfo(type=1  (NAME),      string='color')

3

TokenInfo(type=54 (OP),        string='=')

4

TokenInfo(type=1  (NAME),      string='input')

5

TokenInfo(type=54 (OP),        string='(')

6

TokenInfo(type=3  (STRING),    string="'Enter your favourite color: '")

7

TokenInfo(type=54 (OP),        string=')')

8

TokenInfo(type=4  (NEWLINE),   string='')

9

TokenInfo(type=0  (ENDMARKER), string='')

(Note that for the sake of readability, I’ve omitted a few columns from the result above — metadata like starting index, ending index, a copy of the line on which a token occurs, etc.)

#code quality #code review #static analysis #static code analysis #code analysis #static analysis tools #code review tips #static code analyzer #static code analysis tool #static analyzer