How to fix httpcomponents library in Android Studio

-

I had a project in eclipse which uses httpcomponents. The jars used in eclipse did not work in Android studio and I am using compileSdkVersion 23 with buildToolsVersion '23.0.2'. I have tried out several solutions and wasted 3 hours figuring out how import the httpcomponents libraries.

To avoid wasting your time, here is how I fixed the issue:

Changes in Module specific build.gradle i.e. /app/build.gradle Add following under android {...} 

useLibrary 'org.apache.http.legacy'
packagingOptions {
 exclude 'META-INF/DEPENDENCIES'
 exclude 'META-INF/NOTICE'
 exclude 'META-INF/LICENSE'
 exclude 'META-INF/LICENSE.txt'
 exclude 'META-INF/NOTICE.txt'
}
Add following under dependencies {..} 
compile ('org.apache.httpcomponents:httpmime:4.3'){
 exclude group: 'org.apache.httpcomponents', module: 'httpclient'
}
compile ('org.apache.httpcomponents:httpcore:4.4.1'){
 exclude group: 'org.apache.httpcomponents', module: 'httpclient'
}
compile 'commons-io:commons-io:1.3.2'

In Top level build.gradle - /build.gradle add the following by replacing earlier statement: 

buildscript {
    ...
    dependencies {
        classpath 'com.android.tools.build:gradle:1.3.1'
    }
}

Now gradle sync your project and its done.

Comments

Post a Comment

Popular posts from this blog

Curious case of MissingMethodInvocationException and Mockito.when

-
Have you tried to mock a method in Kotlin? As mentioned in this guide we can simply use following code to make it work. //You can mock concrete classes, not just interfaces  LinkedList mockedList = mock(LinkedList.class); / /stubbing  Mockito.when(mockedList.get(0)).thenReturn("first"); If you try it on kotlin class, it will fail with exception MissingMethodInvocationException. e.g. open class DummyPresenter { fun getSomeValue():String{ return "Some Value" } } @RunWith (MockitoJUnitRunner:: class ) class ExampleUnitTest { @Test fun testCallGetSomeValue() { val presenter: DummyPresenter = mock(DummyPresenter:: class . java ) `when`(presenter.getSomeValue()).thenReturn( "Some other value" ) val result = TestClass().callGetSomeValue(presenter) println ( "Test Result: $ result " ) assertEquals( "Some other value" ,result) } } org.mockito.exceptions.misusing.MissingMethodInvocationException:  when() requi...
Read more

Android: Starting Wifi scan and using ScanResult

-
For scanning wifi access points at interval of 30 seconds, I have the following code. However I strongly discourage frequent scanning as it will drain the battery very fast. Following code registers for a broadcast receiver and requests the Wifi scan. new Thread( ) { public void run( ) { WifiManager manager = (WifiManager) Main.getInstance( ).getContext( ) .getSystemService( Context.WIFI_SERVICE ); while ( true ) { IntentFilter i = new IntentFilter( ); i.addAction( WifiManager.SCAN_RESULTS_AVAILABLE_ACTION ); Main.getInstance( ).getContext( ).registerReceiver( new WifiScanCompleteReceiver( ), i ); boolean a = manager.startScan(); try { Thread.sleep( 30000 ); } catch ( InterruptedException e ) { } Log.d( HelperUtils.getInstance( ).getApplicationName( ), "New Wifi scan started." ); } } } .start( ); In this code Main.getInstance( ).getContext( ) returns _context = getApplicationContext( ) . Next write a broadcast receiver to liste...
Read more

Enhancing LLM Responses with Prompt Stuffing in Spring Boot AI

-
Image
Enhancing LLM Responses with Prompt Stuffing in Spring Boot AI Large Language Models (LLMs) like OpenAI's GPT series are incredibly powerful, but they sometimes need a little help to provide the most accurate or context-specific answers. One common challenge is their knowledge cut-off date or their lack of access to your private, domain-specific data. This is where "prompt stuffing" (a basic form of Retrieval Augmented Generation or RAG) comes into play. In this post, we'll explore how you can use Spring Boot with Spring AI to "stuff" relevant context into your prompts, guiding the LLM to generate more informed and precise responses. We'll use a practical example involving fetching information about a hypothetical IPL 2025 schedule. What is Prompt Stuffing? Prompt stuffing, in simple terms, means providing the LLM with relevant information or context directly within the prompt you send i...
Read more