Sergey Smolnikov satr
satr
/ CustomProactiveSubscriptionChangedRequestHandler.java
Created
June 10, 2019 12:37
CustomProactiveSubscriptionChangedRequestHandler - code only
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| public class CustomProactiveSubscriptionChangedRequestHandler implements ProactiveSubscriptionChangedRequestHandler { | |
| @Override | |
| public boolean canHandle(HandlerInput input, ProactiveSubscriptionChangedRequest proactiveSubscriptionChangedRequest) { | |
| return true; | |
| } | |
| @Override | |
| public Optional<Response> handle(HandlerInput input, ProactiveSubscriptionChangedRequest proactiveSubscriptionChangedRequest) { | |
| //Put Proactive Subscription Changed event handling code here |
satr
/ CustomProactiveSubscriptionChangedRequestHandler.java
Created
June 10, 2019 12:35
"ProactiveSubscriptionChanged" event handler for Amazon Alexa AWS Lambda function
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| import com.amazon.ask.dispatcher.request.handler.HandlerInput; | |
| import com.amazon.ask.dispatcher.request.handler.impl.ProactiveSubscriptionChangedRequestHandler; | |
| import com.amazon.ask.model.Response; | |
| import com.amazon.ask.model.events.skillevents.ProactiveSubscriptionChangedRequest; | |
| import java.util.Optional; | |
| /* Skill manifest should contain subscription to the event "SKILL_PROACTIVE_SUBSCRIPTION_CHANGED" (with needed proactive events in "publications") | |
| "permissions": [{"name": "alexa::devices:all:notifications:write"}], | |
| "events": { |
satr
/ Amazon-Alexa-Skill-Proactive-Media-event-example.json
Created
June 9, 2019 05:43
Amazon Alexa Skill Proactive Media event example
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| { | |
| "timestamp": "2019-06-08T10:12:01.00Z", | |
| "referenceId": "unique-id-of-this-event-instance-abc123456789", | |
| "expiryTime": "2019-06-08T14:00:00.00Z", | |
| "event": { | |
| "name": "AMAZON.MediaContent.Available", | |
| "payload": { | |
| "availability": { | |
| "startTime": "2019-06-08T20:00:00Z", | |
| "provider": { |
satr
/ alexa-proactive-event-property-in-alexa-skill-manifest.js
Last active
June 9, 2019 05:41
Alexa Proactive event property in Alexa Skill manifest
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| "events": { | |
| "publications": [ | |
| { "eventName": "AMAZON.OrderStatus.Updated" }, | |
| { "eventName": "AMAZON.MediaContent.Available" } | |
| ], | |
| "endpoint": { | |
| "uri": "YOUR-AWS-LAMBDA-FUNCTION-ARN" | |
| } | |
| } |
satr
/ build.gradle
Created
June 9, 2019 05:34
Dependencies and jar-task in build.gradle for AWS Lambda function on Java for Amazon Alexa Skill
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| dependencies { | |
| testCompile group: 'junit', name: 'junit', version: '4.12' | |
| compile group: 'com.amazon.alexa', name: 'ask-sdk', version:'2.17.2' | |
| compile group: 'com.amazonaws', name: 'aws-lambda-java-log4j2', version:'1.1.0' | |
| } | |
| jar { | |
| from { | |
| configurations.compile.collect { it.isDirectory() ? it : zipTree(it) } | |
| } | |
| } |
satr
/ JacksonDeserializeObject.java
Created
May 17, 2019 09:53
Deserialize an object from JSON with Jackson lib
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| /* | |
| https://github.com/FasterXML/jackson | |
| Grade.build | |
| dependencies { | |
| compile group:'com.fasterxml.jackson', name:'jackson-bom', version: '2.9.8' | |
| } | |
| Input: | |
| { "first_name" : "John", "last_name" : "Smith" } | |
| { "first_name" : "John" } |
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| { | |
| "string_value": "some text", | |
| "int_value": "123", | |
| "float_value":"12.345", | |
| "bool_value": "true", | |
| "date_value": "2019-05-10T10:20:35.000+0", | |
| "array_value": [1,2,3,4,5], | |
| "object_value": { | |
| "int_field": "789", | |
| "string_field": "object's text" |
satr
/ LambdaRequestHandlerWithLoggerTest.java
Created
May 15, 2019 18:52
Mock Lambda Context and Logger while testing AWS Lambda RequestHandler (with JUnit4)
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| //In the test class | |
| import com.amazonaws.services.lambda.runtime.Context; | |
| import com.amazonaws.services.lambda.runtime.LambdaLogger; | |
| import org.junit.runner.RunWith; | |
| import org.mockito.junit.MockitoJUnitRunner; | |
| import org.mockito.Mock; | |
| import org.junit.Before; | |
| import org.junit.Test; | |
| import static org.mockito.Mockito.when; | |
| import static org.mockito.Mockito.doAnswer; |
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| import tensorflow as tf | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| from tensorflow import keras | |
| mnist = keras.datasets.mnist | |
| (training_images, training_labels), (test_images, test_labels) = mnist.load_data() | |
| #plt.imshow(test_images[0]) | |
| class FitCallback(tf.keras.callbacks.Callback): |
satr
/ mnist-fashion-example.py
Created
May 4, 2019 08:18
Learn image recognition with fashion_mnist
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| # Based on https://www.coursera.org/learn/introduction-tensorflow/home/welcome | |
| # Course 1 - Part 4 - Lesson 2 - Notebook | |
| #https://github.com/zalandoresearch/fashion-mnist | |
| import tensorflow as tf | |
| from tensorflow import keras | |
| mnist = keras.datasets.fashion_mnist | |
| (training_images, training_labels), (test_images, test_labels) = mnist.load_data() | |
| import matplotlib.pyplot as plt |