package io.quarkus.amazon.lambda.runtime;

import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream;
import java.io.PrintWriter;
import java.io.StringWriter;

import com.amazonaws.services.lambda.runtime.Context;
import com.amazonaws.services.lambda.runtime.RequestStreamHandler;

import io.quarkus.runtime.Application;

/**
 * Intended to be used within a java runtime lambda deployment.
 * This handler is a tiny wrapper for the app-developer-defined lambda handler.
 * It delegates to a wrapper that uses arc to instantiate the
 * app-developer's handler. Jackson is used to (de)serialize input and output types of app-dev's handler.
 *
 */
public class QuarkusStreamHandler implements RequestStreamHandler {
    protected static final String deploymentStatus;
    protected static boolean started = false;

    static {
        StringWriter error = new StringWriter();
        PrintWriter errorWriter = new PrintWriter(error, true);
        if (Application.currentApplication() == null) { // were we already bootstrapped?  Needed for mock azure unit testing.
            try {
                Class appClass = Class.forName("io.quarkus.runner.ApplicationImpl");
                String[] args = {};
                Application app = (Application) appClass.newInstance();
                app.run(args);
                errorWriter.println("Quarkus bootstrapped successfully.");
                started = true;
            } catch (Exception ex) {
                errorWriter.println("Quarkus bootstrap failed.");
                ex.printStackTrace(errorWriter);
            }
        } else {
            errorWriter.println("Quarkus bootstrapped successfully.");
            started = true;
        }
        deploymentStatus = error.toString();
    }

    @Override
    public void handleRequest(InputStream inputStream, OutputStream outputStream, Context context) throws IOException {
        if (!started) {
            throw new IOException(deploymentStatus);
        }
        AmazonLambdaRecorder.handle(inputStream, outputStream, context);
    }
}

package io.quarkus.amazon.lambda.runtime;

import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream;
import java.io.PrintWriter;
import java.io.StringWriter;

import com.amazonaws.services.lambda.runtime.Context;
import com.amazonaws.services.lambda.runtime.RequestStreamHandler;

import io.quarkus.runtime.Application;

/**
 * Intended to be used within a java runtime lambda deployment.
 * This handler is a tiny wrapper for the app-developer-defined lambda handler.
 * It delegates to a wrapper that uses arc to instantiate the
 * app-developer's handler. Jackson is used to (de)serialize input and output types of app-dev's handler.
 *
 */
public class QuarkusStreamHandler implements RequestStreamHandler {
    protected static final String deploymentStatus;
    protected static boolean started = false;

    static {
        StringWriter error = new StringWriter();
        PrintWriter errorWriter = new PrintWriter(error, true);
        if (Application.currentApplication() == null) { // were we already bootstrapped?  Needed for mock azure unit testing.
            try {
                Class appClass = Class.forName("io.quarkus.runner.ApplicationImpl");
                String[] args = {};
                Application app = (Application) appClass.newInstance();
                Runtime.getRuntime().addShutdownHook(new Thread() {
                    @Override
                    public void run() {
                        app.stop();
                    }
                });
                app.start(args);
                errorWriter.println("Quarkus bootstrapped successfully.");
                started = true;
            } catch (Exception ex) {
                errorWriter.println("Quarkus bootstrap failed.");
                ex.printStackTrace(errorWriter);
            }
        } else {
            errorWriter.println("Quarkus bootstrapped successfully.");
            started = true;
        }
        deploymentStatus = error.toString();
    }

    @Override
    public void handleRequest(InputStream inputStream, OutputStream outputStream, Context context) throws IOException {
        if (!started) {
            throw new IOException(deploymentStatus);
        }
        AmazonLambdaRecorder.handle(inputStream, outputStream, context);
    }
}

revert change to run() add a shutdown hook to properly call stop() to release database resources properly, e.g.