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This project aims to offer an easy-to-extend Java DAS server framework. It offers several advantages: * Implementing data sources is very easy but also flexible and powerful. * Data caching is built into the system, with access to the caching mechanism made available to the data sources. * All aspects of the server are highly configurable, including selecting options where the DAS 1.53 specification offers choices to the implementor. * The latest Java technologies have been used throughout the system to optimise performance and simplify data source development. * Wherever possible the same terminology is used in the API as in the DAS specification and XML - again, making data source development more easy. * The server allows XSLT transforms of the DAS XML to be configured to provide a simple DAS client view (limited to the single DAS source). More details of the DAS protocol, DAS servers and DAS clients can be found at http://www.biodas.org/wiki/Main_Page. The first version of this server is a complete implementation of Distributed Sequence Annotation System (DAS) Version 1.53. If you are interested in learning more about DAS 1.53, the specification is highly recommended as a concise and complete description of the DAS protocol that can be obtained from: http://biodas.org/documents/spec.html

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 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 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/

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+].