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We have deprecated ZoomVideoSDK maven repository. Since Video SDK features have been modularized, we are deprecating this repository and publishing new releases into the following repositories. See the feature libraries documentation for details. ZoomVideoSDK Core — core Video SDK features: https://mvnrepository.com/artifact/us.zoom.videosdk/zoomvideosdk-core ZoomVideoSDK Annotation — Screen share annotation feature: https://mvnrepository.com/artifact/us.zoom.videosdk/zoomvideosdk-annotation ZoomVideoSDK Videoeffects — Virtual background feature: https://mvnrepository.com/artifact/us.zoom.videosdk/zoomvideosdk-videoeffects The Video SDKs are app development kits provided to enrich apps with video collaboration features to connect customers and communities. Use these SDKs to build apps with highly customized user interfaces along with access to raw video and audio data. Video SDKs are designed to be: * Easy to use: Import libraries, call required functions, and all video conferencing will be handled for you. * Lightweight: Video SDKs are streamlined toolkits with an enormous reduction in size compared to Meeting SDKs with all the power of Zoom's video and audio solutions. * Highly customizable: Raw video and audio data is available to you, allowing your chosen renderer to customize the video experience. Video sessions created by the Video SDKs are launched instantly, bringing a delightful video communication experience to your users with high-quality video and audio. Direct access to raw video and audio data allows improved interaction between users and the app video stream. Imagine a gaming video streaming app with direct interaction between the player and viewers based on in-game events or prompts from the community. Or, imagine an AR streaming platform with direct viewer access to the on-screen video. As with our Meeting SDKs, Video SDKs allow screen-sharing from devices, in-session chat messages, and high-quality video and audio streams similar to Zoom's core capabilities. The Video SDKs enable the following functionality in your app: * Launch a video communication session instantly * Share screen directly from your device * Send instant chat messages during the session * Capture and review raw data locally * Test different rendering schema and enjoy high-quality video and audio streams * Broadcast the video session to third-party live streaming providers To know more, see: https://developers.zoom.us/docs/video-sdk/

The Source Analyst library is a powerful tool designed to streamline and expedite the tracking of traffic sources for mobile applications. This versatile library is aptly named "Source Analyst" and is an invaluable asset for app developers and marketers seeking to gain deeper insights into the performance of their advertising campaigns. With just one simple function call, Source Analyst empowers you to efficiently investigate the effectiveness of various advertising sources. Key Features: Effortless Tracking: Source Analyst simplifies the complex task of tracking the origins of traffic for your mobile app. No need for convoluted setups or extensive coding – one function is all it takes. Comprehensive Insights: Gain a comprehensive understanding of where your app's users are coming from. Whether it's through social media, search engines, referral links, or other channels, Source Analyst provides you with clear data on traffic sources. Performance Evaluation: Evaluate the performance of your advertising campaigns with precision. Discover which sources are driving the most valuable users to your app, helping you optimize your marketing efforts effectively. Time-Saving: Say goodbye to hours spent on manual data collection and analysis. Source Analyst automates the tracking process, freeing up your time to focus on making data-driven decisions. Customization: Tailor Source Analyst to your specific needs. Customize the library to track the metrics that matter most to your app's success. Real-time Data: Access real-time data, ensuring that you always have up-to-date insights into your traffic sources. Integration-Friendly: Seamlessly integrate Source Analyst into your existing mobile app infrastructure, whether you're developing for Android or iOS. User-Friendly: Source Analyst is designed with user-friendliness in mind. Its intuitive interface and straightforward documentation make it accessible to developers of all levels of expertise. How It Works: Using Source Analyst is as easy as calling a single function within your code. Simply integrate the library into your app, and you can begin tracking traffic sources immediately. From there, Source Analyst compiles and presents the data in a clear and organized manner, allowing you to make data-driven decisions with ease. In a world where understanding the origins of your app's traffic is essential for marketing success, Source Analyst is the go-to solution. Say goodbye to the complexity of tracking sources and embrace the simplicity and effectiveness of Source Analyst for your mobile app. Harness the power of Source Analyst and unlock a new level of insight into your app's performance today!

Axis2 is an effort to re-design and totally re-implement both Axis/Java and (eventually) Axis/C++ on a new architecture. Evolving from the now standard "handler chain" model which Axis1 pioneered, Axis2 is developing a more flexible pipeline architecture which can yet be managed and packaged in a more organized manner. This new design acknowledges the maturing of the Web services space in terms of new protocols such as WS-ReliableMessaging, WS-Security and WS-Addressing that are built on top of the base SOAP system. At the time Axis1 was designed, while it was fully expected that other protocols such as WS-ReliableMessaging would be built on top of it, there was not a proper extension architecture defined to enable clean composition of such layers. Thus, one of the key motivations for Axis2 is to provide a clean and simple environment for like Apache Sandesha and Apache WSS4J to layer on top of the base SOAP system. Another driving force for Axis2 as well as the move away from RPC oriented Web services towards more document-oriented, message style asynchronous service interactions. The Axis2 project is centered on a new representation for SOAP messages called AXIOM (AXIs Object Model). AXIOM consists of two parts: a complete XML Infoset representation and a SOAP Infoset representation on top of that. The XML Infoset representation provides a JDOM-like simple API but is built on a deferred model via a StAX-based (Streaming API for XML) pull parsing API. A key feature of AXIOM is that it allows one to stop building the XML tree and just access the pull stream directly; thus enabling both maximum flexibility and maximum performance. This approach allows us to support multiple levels of abstraction for consuming and offering Web services: using plain AXIOM, using generated code and statically data-bound data types and so on. At the time of Axis1's design, RPC-style, synchronous, request-response interactions were the order of the day for Web services. Today service interactions are much more message -oriented and exploit many different message exchange patterns. The Axis2 engine architecture is careful to not build in any assumptions of request-response patterns to ensure that it can be used easily to support arbitrary message exchange patterns.

Introducing "PerScope" Library: Simplifying Privacy Policy Event Handling for Android Apps "PerScope" is a cutting-edge library designed to streamline the processing of privacy policy events within regions where compliance with local legislation is crucial. Specifically crafted for Android applications, this library addresses the intricate task of managing privacy policy-related events while adhering to the legal requirements of the country in which the app is deployed. In today's digital landscape, ensuring user privacy and data protection is of paramount importance. Different countries have varying legal frameworks dictating how user data should be handled, necessitating robust mechanisms to accommodate these differences seamlessly. This is where the "PerScope" library shines. The key feature that sets "PerScope" apart is its incredible simplicity. With just a single function call, developers can integrate the library into their Android applications and gain immediate access to a comprehensive suite of tools for managing privacy policy events. Whether it's presenting privacy-related notifications, tracking user consents, or adapting the app's behavior based on regional requirements, "PerScope" handles it all efficiently and effectively. Here's a glimpse of what "PerScope" brings to the table: Localized Compliance: "PerScope" empowers developers to align their apps with the privacy laws of each region. By intelligently detecting the user's location, the library ensures that the app's behavior remains compliant with the specific privacy regulations of that area. Event Handling Made Easy: Instead of grappling with complex event management code, developers can integrate the "PerScope" function, drastically reducing development time and effort. The library takes care of the intricate event handling process seamlessly. Dynamic Adaptation: With the ability to dynamically adapt the app's features based on the user's consent and the local legal requirements, "PerScope" ensures a personalized and compliant user experience. Notification Presentation: "PerScope" assists in presenting privacy-related notifications to users, making it easier to inform them about data collection practices and obtain necessary consents. Smooth Integration: The library is designed to be easily integrated into existing Android applications, minimizing disruptions to the development process. In a nutshell, "PerScope" is a developer's go-to solution for managing privacy policy events within Android apps. Its single-function approach, combined with its capacity to handle a complex and critical aspect of app development, makes it an indispensable tool for app creators aiming to provide a user-centric, privacy-respecting experience while complying with regional legislation. Stay on the right side of the law and prioritize user privacy with the power of "PerScope."

# Pact junit runner ## Overview Library provides ability to play contract tests against a provider service in JUnit fashionable way. Supports: - Out-of-the-box convenient ways to load pacts - Easy way to change assertion strategy - **org.junit.BeforeClass**, **org.junit.AfterClass** and **org.junit.ClassRule** JUnit annotations, that will be run once - before/after whole contract test suite. - **org.junit.Before**, **org.junit.After** and **org.junit.Rule** JUnit annotations, that will be run before/after each test of an interaction. - **au.com.dius.pact.provider.junit.State** custom annotation - before each interaction that requires a state change, all methods annotated by `@State` with appropriate the state listed will be invoked. These methods must either take no parameters or a single Map parameter. ## Example of HTTP test ```java @RunWith(PactRunner.class) // Say JUnit to run tests with custom Runner @Provider("myAwesomeService") // Set up name of tested provider @PactFolder("pacts") // Point where to find pacts (See also section Pacts source in documentation) public class ContractTest { // NOTE: this is just an example of embedded service that listens to requests, you should start here real service @ClassRule //Rule will be applied once: before/after whole contract test suite public static final ClientDriverRule embeddedService = new ClientDriverRule(8332); @BeforeClass //Method will be run once: before whole contract test suite public static void setUpService() { //Run DB, create schema //Run service //... } @Before //Method will be run before each test of interaction public void before() { // Rest data // Mock dependent service responses // ... embeddedService.addExpectation( onRequestTo("/data"), giveEmptyResponse() ); } @State("default", "no-data") // Method will be run before testing interactions that require "default" or "no-data" state public void toDefaultState() { // Prepare service before interaction that require "default" state // ... System.out.println("Now service in default state"); } @State("with-data") // Method will be run before testing interactions that require "with-data" state public void toStateWithData(Map data) { // Prepare service before interaction that require "with-data" state. The provider state data will be passed // in the data parameter // ... System.out.println("Now service in state using data " + data); } @TestTarget // Annotation denotes Target that will be used for tests public final Target target = new HttpTarget(8332); // Out-of-the-box implementation of Target (for more information take a look at Test Target section) } ``` ## Example of AMQP Message test ```java @RunWith(PactRunner.class) // Say JUnit to run tests with custom Runner @Provider("myAwesomeService") // Set up name of tested provider @PactBroker(host="pactbroker", port = "80") public class ConfirmationKafkaContractTest { @TestTarget // Annotation denotes Target that will be used for tests public final Target target = new AmqpTarget(); // Out-of-the-box implementation of Target (for more information take a look at Test Target section) @BeforeClass //Method will be run once: before whole contract test suite public static void setUpService() { //Run DB, create schema //Run service //... } @Before //Method will be run before each test of interaction public void before() { // Message data preparation // ... } @PactVerifyProvider('an order confirmation message') String verifyMessageForOrder() { Order order = new Order() order.setId(10000004) order.setPrice(BigDecimal.TEN) order.setUnits(15) def message = new ConfirmationKafkaMessageBuilder() .withOrder(order) .build() JsonOutput.toJson(message) } } ``` ## Provider state callback methods For the provider states in the pact being verified, you can define methods to be invoked to setup the correct state for each interaction. Just annotate a method with the `au.com.dius.pact.provider.junit.State` annotation and the method will be invoked before the interaction is verified. For example: ```java @State("SomeProviderState") // Must match the state description in the pact file public void someProviderState() { // Do what you need to set the correct state } ``` If there are parameters in the pact file, just add a Map parameter to the method to be able to access those parameters. ```java @State("SomeProviderState") public void someProviderState(Map<String, Object> providerStateParameters) { // Do what you need to set the correct state } ``` ### Provider state teardown methods [3.5.22+] If you need to tear down your provider state, you can annotate a method with the `@State` annotation with the action set to `StateChangeAction.TEARDOWN` and it will be invoked after the interaction is verified. ```java @State("SomeProviderState", action = StateChangeAction.TEARDOWN) public void someProviderStateCleanup() { // Do what you need to to teardown the state } ``` ## Pact source The Pact runner will automatically collect pacts based on annotations on the test class. For this purpose there are 3 out-of-the-box options (files from a directory, files from a set of URLs or a pact broker) or you can easily add your own Pact source. If you need to load a single pact file from the file system, use the `PactUrl` with the URL set to the file path. **Note:** You can only define one source of pacts per test class. ### Download pacts from a pact-broker To use pacts from a Pact Broker, annotate the test class with `@PactBroker(host="host.of.pact.broker.com", port = "80")`. From _version 3.2.2/2.4.3+_ you can also specify the protocol, which defaults to "http". The pact broker will be queried for all pacts with the same name as the provider annotation. For example, test all pacts for the "Activity Service" in the pact broker: ```java @RunWith(PactRunner.class) @Provider("Activity Service") @PactBroker(host = "localhost", port = "80") public class PactJUnitTest { @TestTarget public final Target target = new HttpTarget(5050); } ``` #### _Version 3.2.3/2.4.4+_ - Using Java System properties The pact broker loader was updated to allow system properties to be used for the hostname, port or protocol. The port was changed to a string to allow expressions to be set. To use a system property or environment variable, you can place the property name in `${}` expression de-markers: ```java @PactBroker(host="${pactbroker.hostname}", port = "80") ``` You can provide a default value by separating the property name with a colon (`:`): ```java @PactBroker(host="${pactbroker.hostname:localhost}", port = "80") ``` #### _Version 3.5.3+_ - More Java System properties The default values of the `@PactBroker` annotation now enable variable interpolation. The following keys may be managed through the environment * `pactbroker.host` * `pactbroker.port` * `pactbroker.protocol` * `pactbroker.tags` (comma separated) * `pactbroker.auth.scheme` * `pactbroker.auth.username` * `pactbroker.auth.password` #### _Version 3.2.4/2.4.6+_ - Using tags with the pact broker The pact broker allows different versions to be tagged. To load all the pacts: ```java @PactBroker(host="pactbroker", port = "80", tags = {"latest", "dev", "prod"}) ``` The default value for tags is `latest` which is not actually a tag but instead corresponds to the latest version ignoring the tags. If there are multiple consumers matching the name specified in the provider annotation then the latest pact for each of the consumers is loaded. For any other value the latest pact tagged with the specified tag is loaded. Specifying multiple tags is an OR operation. For example if you specify `tags = {"dev", "prod"}` then both the latest pact file tagged with `dev` and the latest pact file taggged with `prod` is loaded. #### _Version 3.3.4/2.4.19+_ - Using basic auth with the with the pact broker You can use basic authentication with the `@PactBroker` annotation by setting the `authentication` value to a `@PactBrokerAuth` annotation. For example: ```java @PactBroker(host = "${pactbroker.url:localhost}", port = "1234", tags = {"latest", "prod", "dev"}, authentication = @PactBrokerAuth(username = "test", password = "test")) ``` The `username` and `password` values also take Java system property expressions. ### Pact Url To use pacts from urls annotate the test class with ```java @PactUrl(urls = {"http://build.server/zoo_app-animal_service.json"} ) ``` If you need to load a single pact file from the file system, you can use the `PactUrl` with the URL set to the file path. ### Pact folder To use pacts from a resource folder of the project annotate test class with ```java @PactFolder("subfolder/in/resource/directory") ``` ### Custom pacts source It's possible to use a custom Pact source. For this, implement interface `au.com.dius.pact.provider.junit.loader.PactLoader` and annotate the test class with `@PactSource(MyOwnPactLoader.class)`. **Note:** class `MyOwnPactLoader` must have a default empty constructor or a constructor with one argument of class `Class` which at runtime will be the test class so you can get custom annotations of test class. ### Filtering the interactions that are verified [version 3.5.3+] By default, the pact runner will verify all pacts for the given provider. You can filter the pacts and interactions by the following methods. #### Filtering by Consumer You can run only those pacts for a particular consumer by adding a `@Consumer` annotation to the test class. For example: ```java @RunWith(PactRunner.class) @Provider("Activity Service") @Consumer("Activity Consumer") @PactBroker(host = "localhost", port = "80") public class PactJUnitTest { @TestTarget public final Target target = new HttpTarget(5050); } ``` #### Filtering by Provider State You can filter the interactions that are executed by adding a `@PactFilter` annotation to your test class. The pact filter annotation will then only verify interactions that have a matching provider state. You can provide multiple states to match with. For example: ```java @RunWith(PactRunner.class) @Provider("Activity Service") @PactBroker(host = "localhost", port = "80") @PactFilter('Activity 100 exists in the database') public class PactJUnitTest { @TestTarget public final Target target = new HttpTarget(5050); } ``` You can also use regular expressions with the filter [version 3.5.3+]. For example: ```java @RunWith(PactRunner.class) @PactFilter('Activity \\d+ exists in the database') public class PactJUnitTest { } ``` ### Setting the test to not fail when no pacts are found [version 3.5.3+] By default the pact runner will fail the verification test if no pact files are found to verify. To change the failure into a warning, add a `@IgnoreNoPactsToVerify` annotation to your test class. #### Ignoring IO errors loading pact files [version 3.5.24+] You can also set the test to ignore any IO and parser exceptions when loading the pact files by setting the `ignoreIoErrors` attribute on the annotation to `"true"` or setting the JVM system property `pact.verification.ignoreIoErrors` to `true`. ** WARNING! Do not enable this on your CI server, as this could result in your build passing with no providers having been verified due to a configuration error. ** ## Test target The field in test class of type `au.com.dius.pact.provider.junit.target.Target` annotated with `au.com.dius.pact.provider.junit.target.TestTarget` will be used for actual Interaction execution and asserting of contract. **Note:** there must be exactly 1 such field, otherwise an `InitializationException` will be thrown. ### HttpTarget `au.com.dius.pact.provider.junit.target.HttpTarget` - out-of-the-box implementation of `au.com.dius.pact.provider.junit.target.Target` that will play pacts as http request and assert response from service by matching rules from pact. _Version 3.2.2/2.4.3+_ you can also specify the protocol, defaults to "http". ### AmqpTarget `au.com.dius.pact.provider.junit.target.AmqpTarget` - out-of-the-box implementation of `au.com.dius.pact.provider.junit.target.Target` that will play pacts as an AMQP message and assert response from service by matching rules from pact. #### Modifying the requests before they are sent [Version 3.2.3/2.4.5+] Sometimes you may need to add things to the requests that can't be persisted in a pact file. Examples of these would be authentication tokens, which have a small life span. The HttpTarget supports request filters by annotating methods on the test class with `@TargetRequestFilter`. These methods must be public void methods that take a single HttpRequest parameter. For example: ```java @TargetRequestFilter public void exampleRequestFilter(HttpRequest request) { request.addHeader("Authorization", "OAUTH hdsagasjhgdjashgdah..."); } ``` __*Important Note:*__ You should only use this feature for things that can not be persisted in the pact file. By modifying the request, you are potentially modifying the contract from the consumer tests! #### Turning off URL decoding of the paths in the pact file [version 3.3.3+] By default the paths loaded from the pact file will be decoded before the request is sent to the provider. To turn this behaviour off, set the system property `pact.verifier.disableUrlPathDecoding` to `true`. __*Important Note:*__ If you turn off the url path decoding, you need to ensure that the paths in the pact files are correctly encoded. The verifier will not be able to make a request with an invalid encoded path. ### Custom Test Target It's possible to use custom `Target`, for that interface `Target` should be implemented and this class can be used instead of `HttpTarget`. # Verification Reports [versions 3.2.7/2.4.9+] The default test behaviour is to display the verification being done to the console, and pass or fail the test via the normal JUnit mechanism. From versions 3.2.7/2.4.9+, additional reports can be generated from the tests. ## Enabling additional reports via annotations on the test classes A `@VerificationReports` annotation can be added to any pact test class which will control the verification output. The annotation takes a list report types and an optional report directory (defaults to "target/pact/reports"). The currently supported report types are `console`, `markdown` and `json`. For example: ```java @VerificationReports({"console", "markdown"}) public class MyPactTest { ``` will enable the markdown report in addition to the normal console output. And, ```java @VerificationReports(value = {"markdown"}, reportDir = "/myreports") public class MyPactTest { ``` will disable the normal console output and write the markdown reports to "/myreports". ## Enabling additional reports via Java system properties or environment variables The additional reports can also be enabled with Java System properties or environment variables. The following two properties have been introduced: `pact.verification.reports` and `pact.verification.reportDir`. `pact.verification.reports` is the comma separated list of report types to enable (e.g. `console,json,markdown`). `pact.verification.reportDir` is the directory to write reports to (defaults to "target/pact/reports"). ## Additional Reports The following report types are available in addition to console output (`console`, which is enabled by default): `markdown`, `json`. You can also provide a fully qualified classname as report so custom reports are also supported. This class must implement `au.com.dius.pact.provider.reporters.VerifierReporter` interface in order to be correct custom implementation of a report. # Publishing verification results to a Pact Broker [version 3.5.4+] For pacts that are loaded from a Pact Broker, the results of running the verification can be published back to the broker against the URL for the pact. You will be able to see the result on the Pact Broker home screen. You need to set the version of the provider that is verified using the `pact.provider.version` system property. To enable publishing of results, set the property `pact.verifier.publishResults` to `true` [version 3.5.18+].

pact-jvm-consumer-groovy ========================= Groovy DSL for Pact JVM ## Dependency The library is available on maven central using: * group-id = `au.com.dius` * artifact-id = `pact-jvm-consumer-groovy_2.11` * version-id = `2.4.x` or `3.2.x` ## Usage Add the `pact-jvm-consumer-groovy` library to your test class path. This provides a `PactBuilder` class for you to use to define your pacts. For a full example, have a look at the example JUnit `ExampleGroovyConsumerPactTest`. If you are using gradle for your build, add it to your `build.gradle`: dependencies { testCompile 'au.com.dius:pact-jvm-consumer-groovy_2.11:3.2.14' } Then create an instance of the `PactBuilder` in your test. ```groovy @Test void "A service consumer side of a pact goes a little something like this"() { def alice_service = new PactBuilder() // Create a new PactBuilder alice_service { serviceConsumer "Consumer" // Define the service consumer by name hasPactWith "Alice Service" // Define the service provider that it has a pact with port 1234 // The port number for the service. It is optional, leave it out to // to use a random one given('there is some good mallory') // defines a provider state. It is optional. uponReceiving('a retrieve Mallory request') // upon_receiving starts a new interaction withAttributes(method: 'get', path: '/mallory') // define the request, a GET request to '/mallory' willRespondWith( // define the response we want returned status: 200, headers: ['Content-Type': 'text/html'], body: '"That is some good Mallory."' ) } // Execute the run method to have the mock server run. // It takes a closure to execute your requests and returns a Pact VerificationResult. VerificationResult result = alice_service.run() { def client = new RESTClient('http://localhost:1234/') def alice_response = client.get(path: '/mallory') assert alice_response.status == 200 assert alice_response.contentType == 'text/html' def data = alice_response.data.text() assert data == '"That is some good Mallory."' } assert result == PactVerified$.MODULE$ // This means it is all good in weird Scala speak. } ``` After running this test, the following pact file is produced: { "provider" : { "name" : "Alice Service" }, "consumer" : { "name" : "Consumer" }, "interactions" : [ { "provider_state" : "there is some good mallory", "description" : "a retrieve Mallory request", "request" : { "method" : "get", "path" : "/mallory", "requestMatchers" : { } }, "response" : { "status" : 200, "headers" : { "Content-Type" : "text/html" }, "body" : "That is some good Mallory.", "responseMatchers" : { } } } ] } ### DSL Methods #### serviceConsumer(String consumer) This names the service consumer for the pact. #### hasPactWith(String provider) This names the service provider for the pact. #### port(int port) Sets the port that the mock server will run on. If not supplied, a random port will be used. #### given(String providerState) Defines a state that the provider needs to be in for the request to succeed. For more info, see https://github.com/realestate-com-au/pact/wiki/Provider-states #### uponReceiving(String requestDescription) Starts the definition of a of a pact interaction. #### withAttributes(Map requestData) Defines the request for the interaction. The request data map can contain the following: | key | Description | Default Value | |----------------------------|-------------------------------------------|-----------------------------| | method | The HTTP method to use | get | | path | The Path for the request | / | | query | Query parameters as a Map<String, List> | | | headers | Map of key-value pairs for the request headers | | | body | The body of the request. If it is not a string, it will be converted to JSON. Also accepts a PactBodyBuilder. | | | prettyPrint | Boolean value to control if the body is pretty printed. See note on Pretty Printed Bodies below | For the path, header attributes and query parameters (version 2.2.2+ for headers, 3.3.7+ for query parameters), you can use regular expressions to match. You can either provide a regex `Pattern` class or use the `regexp` method to construct a `RegexpMatcher` (you can use any of the defined matcher methods, see DSL methods below). If you use a `Pattern`, or the `regexp` method but don't provide a value, a random one will be generated from the regular expression. This value is used when generating requests. For example: ```groovy .withAttributes(path: ~'/transaction/[0-9]+') // This will generate a random path for requests // or .withAttributes(path: regexp('/transaction/[0-9]+', '/transaction/1234567890')) ``` #### withBody(Closure closure) Constructs the body of the request or response by invoking the supplied closure in the context of a PactBodyBuilder. ##### Pretty Printed Bodies [Version 2.2.15+, 3.0.4+] An optional Map can be supplied to control how the body is generated. The option values are available: | Option | Description | |--------|-------------| | mimeType | The mime type of the body. Defaults to `application/json` | | prettyPrint | Boolean value controlling whether to pretty-print the body or not. Defaults to true | If the prettyPrint option is not specified, the bodies will be pretty printed unless the mime type corresponds to one that requires compact bodies. Currently only `application/x-thrift+json` is classed as requiring a compact body. For an example of turning off pretty printing: ```groovy service { uponReceiving('a request') withAttributes(method: 'get', path: '/') withBody(prettyPrint: false) { name 'harry' surname 'larry' } } ``` #### willRespondWith(Map responseData) Defines the response for the interaction. The response data map can contain the following: | key | Description | Default Value | |----------------------------|-------------------------------------------|-----------------------------| | status | The HTTP status code to return | 200 | | headers | Map of key-value pairs for the response headers | | | body | The body of the response. If it is not a string, it will be converted to JSON. Also accepts a PactBodyBuilder. | | | prettyPrint | Boolean value to control if the body is pretty printed. See note on Pretty Printed Bodies above | For the headers (version 2.2.2+), you can use regular expressions to match. You can either provide a regex `Pattern` class or use the `regexp` method to construct a `RegexpMatcher` (you can use any of the defined matcher methods, see DSL methods below). If you use a `Pattern`, or the `regexp` method but don't provide a value, a random one will be generated from the regular expression. This value is used when generating responses. For example: ```groovy .willRespondWith(headers: [LOCATION: ~'/transaction/[0-9]+']) // This will generate a random location value // or .willRespondWith(headers: [LOCATION: regexp('/transaction/[0-9]+', '/transaction/1234567890')]) ``` #### VerificationResult run(Closure closure) The `run` method starts the mock server, and then executes the provided closure. It then returns the pact verification result for the pact run. If you require access to the mock server configuration for the URL, it is passed into the closure, e.g., ```groovy VerificationResult result = alice_service.run() { config -> def client = new RESTClient(config.url()) def alice_response = client.get(path: '/mallory') } ``` ### Body DSL For building JSON bodies there is a `PactBodyBuilder` that provides as DSL that includes matching with regular expressions and by types. For a more complete example look at `PactBodyBuilderTest`. For an example: ```groovy service { uponReceiving('a request') withAttributes(method: 'get', path: '/') withBody { name(~/\w+/, 'harry') surname regexp(~/\w+/, 'larry') position regexp(~/staff|contractor/, 'staff') happy(true) } } ``` This will return the following body: ```json { "name": "harry", "surname": "larry", "position": "staff", "happy": true } ``` and add the following matchers: ```json { "$.body.name": {"regex": "\\w+"}, "$.body.surname": {"regex": "\\w+"}, "$.body.position": {"regex": "staff|contractor"} } ``` #### DSL Methods The DSL supports the following matching methods: * regexp(Pattern re, String value = null), regexp(String regexp, String value = null) Defines a regular expression matcher. If the value is not provided, a random one will be generated. * hexValue(String value = null) Defines a matcher that accepts hexidecimal values. If the value is not provided, a random hexidcimal value will be generated. * identifier(def value = null) Defines a matcher that accepts integer values. If the value is not provided, a random value will be generated. * ipAddress(String value = null) Defines a matcher that accepts IP addresses. If the value is not provided, a 127.0.0.1 will be used. * numeric(Number value = null) Defines a matcher that accepts any numerical values. If the value is not provided, a random integer will be used. * integer(def value = null) Defines a matcher that accepts any integer values. If the value is not provided, a random integer will be used. * real(def value = null) Defines a matcher that accepts any real numbers. If the value is not provided, a random double will be used. * timestamp(String pattern = null, def value = null) If pattern is not provided the ISO_DATETIME_FORMAT is used ("yyyy-MM-dd'T'HH:mm:ss") . If the value is not provided, the current date and time is used. * time(String pattern = null, def value = null) If pattern is not provided the ISO_TIME_FORMAT is used ("'T'HH:mm:ss") . If the value is not provided, the current date and time is used. * date(String pattern = null, def value = null) If pattern is not provided the ISO_DATE_FORMAT is used ("yyyy-MM-dd") . If the value is not provided, the current date and time is used. * uuid(String value = null) Defines a matcher that accepts UUIDs. A random one will be generated if no value is provided. #### What if a field matches a matcher name in the DSL? When using the body DSL, if there is a field that matches a matcher name (e.g. a field named 'date') then you can do the following: ```groovy withBody { date = date() } ``` ### Ensuring all items in a list match an example (2.2.0+) Lots of the time you might not know the number of items that will be in a list, but you want to ensure that the list has a minimum or maximum size and that each item in the list matches a given example. You can do this with the `eachLike`, `minLike` and `maxLike` functions. | function | description | |----------|-------------| | `eachLike()` | Ensure that each item in the list matches the provided example | | `maxLike(integer max)` | Ensure that each item in the list matches the provided example and the list is no bigger than the provided max | | `minLike(integer min)` | Ensure that each item in the list matches the provided example and the list is no smaller than the provided min | For example: ```groovy withBody { users minLike(1) { id identifier name string('Fred') } } ``` This will ensure that the user list is never empty and that each user has an identifier that is a number and a name that is a string. __Version 3.2.4/2.4.6+__ You can specify the number of example items to generate in the array. The default is 1. ```groovy withBody { users minLike(1, 3) { id identifier name string('Fred') } } ``` This will create an example user list with 3 users. __Version 3.2.13/2.4.14+__ The each like matchers have been updated to work with primitive types. ```groovy withBody { permissions eachLike(3, 'GRANT') } ``` will generate the following JSON ```json { "permissions": ["GRANT", "GRANT", "GRANT"] } ``` and matchers ```json { "$.body.permissions": {"match": "type"} } ``` and now you can even get more fancy ```groovy withBody { permissions eachLike(3, regexp(~/\w+/)) permissions2 minLike(2, 3, integer()) permissions3 maxLike(4, 3, ~/\d+/) } ``` ### Matching any key in a map (3.3.1/2.5.0+) The DSL has been extended for cases where the keys in a map are IDs. For an example of this, see [#313](https://github.com/DiUS/pact-jvm/issues/131). In this case you can use the `keyLike` method, which takes an example key as a parameter. For example: ```groovy withBody { example { one { keyLike '001', 'value' // key like an id mapped to a value } two { keyLike 'ABC001', regexp('\\w+') // key like an id mapped to a matcher } three { keyLike 'XYZ001', { // key like an id mapped to a closure id identifier() } } four { keyLike '001XYZ', eachLike { // key like an id mapped to an array where each item is matched by the following id identifier() // example } } } } ``` For an example, have a look at [WildcardPactSpec](src/test/au/com/dius/pact/consumer/groovy/WildcardPactSpec.groovy). **NOTE:** The `keyLike` method adds a `*` to the matching path, so the matching definition will be applied to all keys of the map if there is not a more specific matcher defined for a particular key. Having more than one `keyLike` condition applied to a map will result in only one being applied when the pact is verified (probably the last). ## Changing the directory pact files are written to (2.1.9+) By default, pact files are written to `target/pacts`, but this can be overwritten with the `pact.rootDir` system property. This property needs to be set on the test JVM as most build tools will fork a new JVM to run the tests. For Gradle, add this to your build.gradle: ```groovy test { systemProperties['pact.rootDir'] = "$buildDir/pacts" } ``` # Publishing your pact files to a pact broker If you use Gradle, you can use the [pact Gradle plugin](https://github.com/DiUS/pact-jvm/tree/master/pact-jvm-provider-gradle#publishing-pact-files-to-a-pact-broker) to publish your pact files. # Pact Specification V3 Version 3 of the pact specification changes the format of pact files in the following ways: * Query parameters are stored in a map form and are un-encoded (see [#66](https://github.com/DiUS/pact-jvm/issues/66) and [#97](https://github.com/DiUS/pact-jvm/issues/97) for information on what this can cause). * Introduces a new message pact format for testing interactions via a message queue. ## Generating V3 spec pact files (3.1.0+, 2.3.0+) To have your consumer tests generate V3 format pacts, you can pass an option into the `run` method. For example: ```groovy VerificationResult result = service.run(specificationVersion: PactSpecVersion.V3) { config -> def client = new RESTClient(config.url()) def response = client.get(path: '/') } ``` ## Consumer test for a message consumer For testing a consumer of messages from a message queue, the `PactMessageBuilder` class provides a DSL for defining your message expectations. It works in much the same way as the `PactBuilder` class for Request-Response interactions, but will generate a V3 format message pact file. The following steps demonstrate how to use it. ### Step 1 - define the message expectations Create a test that uses the `PactMessageBuilder` to define a message expectation, and then call `run`. This will invoke the given closure with a message for each one defined in the pact. ```groovy def eventStream = new PactMessageBuilder().call { serviceConsumer 'messageConsumer' hasPactWith 'messageProducer' given 'order with id 10000004 exists' expectsToReceive 'an order confirmation message' withMetaData(type: 'OrderConfirmed') // Can define any key-value pairs here withContent(contentType: 'application/json') { type 'OrderConfirmed' audit { userCode 'messageService' } origin 'message-service' referenceId '10000004-2' timeSent: '2015-07-22T10:14:28+00:00' value { orderId '10000004' value '10.000000' fee '10.00' gst '15.00' } } } ``` ### Step 2 - call your message handler with the generated messages This example tests a message handler that gets messages from a Kafka topic. In this case the Pact message is wrapped as a Kafka `MessageAndMetadata`. ```groovy eventStream.run { Message message -> messageHandler.handleMessage(new MessageAndMetadata('topic', 1, new kafka.message.Message(message.contentsAsBytes()), 0, null, valueDecoder)) } ``` ### Step 3 - validate that the message was handled correctly ```groovy def order = orderRepository.getOrder('10000004') assert order.status == 'confirmed' assert order.value == 10.0 ``` ### Step 4 - Publish the pact file If the test was successful, a pact file would have been produced with the message from step 1.