Liferay Frontend JS Import Maps Extender API
Liferay Object Dynamic Data Mapping Form Field Type API
A Java API for using Google Maps within a JavaFX application.
Permazen classes that map Java model classes onto the core API.
The internal API module for Virtual Data Set modules. Each module that provides mapping functions should only have to depend on this module to get all the dependencies it needs.
The DriverAdapter API for nosqlbench; Provides the interfaces needed to build drivers that can be loaded by nosqlbench core, using a minimal and direct API for op mapping.
OpenDaylight is leading the transformation to Open Software Defined Networking (SDN). For more information, please see https://www.opendaylight.org
Legato is a configurable, lightweight web mapping client that can be easily embedded into web pages and portals, CMS and individual web applications. Legato is implemented in JavaScript and based on the popular open source library OpenLayers.
Eclipse Collections is a collections framework for Java. It has JDK-compatible List, Set and Map implementations with a rich API and set of utility classes that work with any JDK compatible Collections, Arrays, Maps or Strings. The iteration protocol was inspired by the Smalltalk collection framework.
Eclipse JNoSQL Mapping, Artemis API, core engine
A Java API for using Google Maps within a JavaFX application.
Handy extensions to the Google Maps Android API.
Handy extensions to the Google Maps Android API.
JSimpleDB classes that map Java model classes onto the core API.
This package enables the Linked Data Client to access the metadata of YouTube Videos as if they were published as Linked Data (RDF) by mapping the YouTube API to the Ontology for Media Resources.
OpenDaylight is leading the transformation to Open Software Defined Networking (SDN). For more information, please see https://www.opendaylight.org
REST SPI Mappings for SOS Series Database.
Coherent Map Reduce API
Coherent Map Reduce API
Coherent Map Reduce API
Coherent Map Reduce API
AgroSense is a highly modular farm management system base on the netbeans platform.
Eclipse Collections is a collections framework for Java. It has JDK-compatible List, Set and Map implementations with a rich API and set of utility classes that work with any JDK compatible Collections, Arrays, Maps or Strings. The iteration protocol was inspired by the Smalltalk collection framework.
WorldWind is an open source virtual globe API. WorldWind allows developers to quickly and easily create interactive visualizations of 3D globe, map and geographical information. Organizations around the world use WorldWind to monitor weather patterns, visualize cities and terrain, track vehicle movement, analyze geospatial data and educate humanity about the Earth.
This package enables the Linked Data Client to access the metadata of Vimeo Videos as if they were published as Linked Data (RDF) by mapping the Vimeo API to the Ontology for Media Resources.
Ponzu is a collections framework for Java. It has JDK-compatible List, Set and Map implementations with a rich API and set of utility classes that work with any JDK compatible Collections, Arrays, Maps or Strings.
Eclipse JNoSQL Mapping, Artemis API, to document NoSQL databases
Pact consumer ============= Pact Consumer is used by projects that are consumers of an API. Most projects will want to use pact-consumer via one of the test framework specific projects. If your favourite framework is not implemented, this module should give you all the hooks you need. Provides a DSL for use with Java to build consumer pacts. ## Dependency The library is available on maven central using: * group-id = `au.com.dius` * artifact-id = `pact-jvm-consumer_2.11` ## DSL Usage Example in a JUnit test: ```java import au.com.dius.pact.model.MockProviderConfig; import au.com.dius.pact.model.PactFragment; import org.junit.Test; import java.io.IOException; import java.util.HashMap; import java.util.Map; import static org.junit.Assert.assertEquals; public class PactTest { @Test public void testPact() { PactFragment pactFragment = ConsumerPactBuilder .consumer("Some Consumer") .hasPactWith("Some Provider") .uponReceiving("a request to say Hello") .path("/hello") .method("POST") .body("{\"name\": \"harry\"}") .willRespondWith() .status(200) .body("{\"hello\": \"harry\"}") .toFragment(); MockProviderConfig config = MockProviderConfig.createDefault(); VerificationResult result = pactFragment.runConsumer(config, new TestRun() { @Override public void run(MockProviderConfig config) { Map expectedResponse = new HashMap(); expectedResponse.put("hello", "harry"); try { assertEquals(new ProviderClient(config.url()).hello("{\"name\": \"harry\"}"), expectedResponse); } catch (IOException e) {} } }); if (result instanceof PactError) { throw new RuntimeException(((PactError)result).error()); } assertEquals(ConsumerPactTest.PACT_VERIFIED, result); } } ``` The DSL has the following pattern: ```java .consumer("Some Consumer") .hasPactWith("Some Provider") .given("a certain state on the provider") .uponReceiving("a request for something") .path("/hello") .method("POST") .body("{\"name\": \"harry\"}") .willRespondWith() .status(200) .body("{\"hello\": \"harry\"}") .uponReceiving("another request for something") .path("/hello") .method("POST") .body("{\"name\": \"harry\"}") .willRespondWith() .status(200) .body("{\"hello\": \"harry\"}") . . . .toFragment() ``` You can define as many interactions as required. Each interaction starts with `uponReceiving` followed by `willRespondWith`. The test state setup with `given` is a mechanism to describe what the state of the provider should be in before the provider is verified. It is only recorded in the consumer tests and used by the provider verification tasks. ### Building JSON bodies with PactDslJsonBody DSL The body method of the ConsumerPactBuilder can accept a PactDslJsonBody, which can construct a JSON body as well as define regex and type matchers. For example: ```java PactDslJsonBody body = new PactDslJsonBody() .stringType("name") .booleanType("happy") .hexValue("hexCode") .id() .ipAddress("localAddress") .numberValue("age", 100) .timestamp(); ``` #### DSL Matching methods The following matching methods are provided with the DSL. In most cases, they take an optional value parameter which will be used to generate example values (i.e. when returning a mock response). If no example value is given, a random one will be generated. | method | description | |--------|-------------| | string, stringValue | Match a string value (using string equality) | | number, numberValue | Match a number value (using Number.equals)\* | | booleanValue | Match a boolean value (using equality) | | stringType | Will match all Strings | | numberType | Will match all numbers\* | | integerType | Will match all numbers that are integers (both ints and longs)\* | | decimalType | Will match all real numbers (floating point and decimal)\* | | booleanType | Will match all boolean values (true and false) | | stringMatcher | Will match strings using the provided regular expression | | timestamp | Will match string containing timestamps. If a timestamp format is not given, will match an ISO timestamp format | | date | Will match string containing dates. If a date format is not given, will match an ISO date format | | time | Will match string containing times. If a time format is not given, will match an ISO time format | | ipAddress | Will match string containing IP4 formatted address. | | id | Will match all numbers by type | | hexValue | Will match all hexadecimal encoded strings | | uuid | Will match strings containing UUIDs | _\* Note:_ JSON only supports double precision floating point values. Depending on the language implementation, they may parsed as integer, floating point or decimal numbers. #### 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 `arrayLike`, `minArrayLike` and `maxArrayLike` functions. | function | description | |----------|-------------| | `eachLike` | Ensure that each item in the list matches the provided example | | `maxArrayLike` | Ensure that each item in the list matches the provided example and the list is no bigger than the provided max | | `minArrayLike` | Ensure that each item in the list matches the provided example and the list is no smaller than the provided min | For example: ```java DslPart body = new PactDslJsonBody() .minArrayLike("users") .id() .stringType("name") .closeObject() .closeArray(); ``` This will ensure that the users list is never empty and that each user has an identifier that is a number and a name that is a string. #### Matching JSON values at the root (Version 3.2.2/2.4.3+) For cases where you are expecting basic JSON values (strings, numbers, booleans and null) at the root level of the body and need to use matchers, you can use the `PactDslJsonRootValue` class. It has all the DSL matching methods for basic values that you can use. For example: ```java .consumer("Some Consumer") .hasPactWith("Some Provider") .uponReceiving("a request for a basic JSON value") .path("/hello") .willRespondWith() .status(200) .body(PactDslJsonRootValue.integerType()) ``` #### Root level arrays that match all items (version 2.2.11+) If the root of the body is an array, you can create PactDslJsonArray classes with the following methods: | function | description | |----------|-------------| | `arrayEachLike` | Ensure that each item in the list matches the provided example | | `arrayMinLike` | Ensure that each item in the list matches the provided example and the list is no bigger than the provided max | | `arrayMaxLike` | Ensure that each item in the list matches the provided example and the list is no smaller than the provided min | For example: ```java PactDslJsonArray.arrayEachLike() .date("clearedDate", "mm/dd/yyyy", date) .stringType("status", "STATUS") .decimalType("amount", 100.0) .closeObject() ``` This will then match a body like: ```json [ { "clearedDate" : "07/22/2015", "status" : "C", "amount" : 15.0 }, { "clearedDate" : "07/22/2015", "status" : "C", "amount" : 15.0 }, { "clearedDate" : "07/22/2015", "status" : "C", "amount" : 15.0 } ] ``` #### Matching arrays of arrays (version 3.2.12/2.4.14+) For the case where you have arrays of arrays (GeoJSON is an example), the following methods have been provided: | function | description | |----------|-------------| | `eachArrayLike` | Ensure that each item in the array is an array that matches the provided example | | `eachArrayWithMaxLike` | Ensure that each item in the array is an array that matches the provided example and the array is no bigger than the provided max | | `eachArrayWithMinLike` | Ensure that each item in the array is an array that matches the provided example and the array is no smaller than the provided min | For example (with GeoJSON structure): ```java new PactDslJsonBody() .stringType("type","FeatureCollection") .eachLike("features") .stringType("type","Feature") .object("geometry") .stringType("type","Point") .eachArrayLike("coordinates") // coordinates is an array of arrays .decimalType(-7.55717) .decimalType(49.766896) .closeArray() .closeArray() .closeObject() .object("properties") .stringType("prop0","value0") .closeObject() .closeObject() .closeArray() ``` This generated the following JSON: ```json { "features": [ { "geometry": { "coordinates": [[-7.55717, 49.766896]], "type": "Point" }, "type": "Feature", "properties": { "prop0": "value0" } } ], "type": "FeatureCollection" } ``` and will be able to match all coordinates regardless of the number of coordinates. #### 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 `eachKeyLike` method, which takes an example key as a parameter. For example: ```java DslPart body = new PactDslJsonBody() .object("one") .eachKeyLike("001", PactDslJsonRootValue.id(12345L)) // key like an id mapped to a matcher .closeObject() .object("two") .eachKeyLike("001-A") // key like an id where the value is matched by the following example .stringType("description", "Some Description") .closeObject() .closeObject() .object("three") .eachKeyMappedToAnArrayLike("001") // key like an id mapped to an array where each item is matched by the following example .id("someId", 23456L) .closeObject() .closeArray() .closeObject(); ``` For an example, have a look at [WildcardKeysTest](src/test/java/au/com/dius/pact/consumer/WildcardKeysTest.java). **NOTE:** The `eachKeyLike` 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 `eachKeyLike` condition applied to a map will result in only one being applied when the pact is verified (probably the last). ### Matching on paths (version 2.1.5+) You can use regular expressions to match incoming requests. The DSL has a `matchPath` method for this. You can provide a real path as a second value to use when generating requests, and if you leave it out it will generate a random one from the regular expression. For example: ```java .given("test state") .uponReceiving("a test interaction") .matchPath("/transaction/[0-9]+") // or .matchPath("/transaction/[0-9]+", "/transaction/1234567890") .method("POST") .body("{\"name\": \"harry\"}") .willRespondWith() .status(200) .body("{\"hello\": \"harry\"}") ``` ### Matching on headers (version 2.2.2+) You can use regular expressions to match request and response headers. The DSL has a `matchHeader` method for this. You can provide an example header value to use when generating requests and responses, and if you leave it out it will generate a random one from the regular expression. For example: ```java .given("test state") .uponReceiving("a test interaction") .path("/hello") .method("POST") .matchHeader("testreqheader", "test.*value") .body("{\"name\": \"harry\"}") .willRespondWith() .status(200) .body("{\"hello\": \"harry\"}") .matchHeader("Location", ".*/hello/[0-9]+", "/hello/1234") ``` ### Matching on query parameters (version 3.3.7+) You can use regular expressions to match request query parameters. The DSL has a `matchQuery` method for this. You can provide an example value to use when generating requests, and if you leave it out it will generate a random one from the regular expression. For example: ```java .given("test state") .uponReceiving("a test interaction") .path("/hello") .method("POST") .matchQuery("a", "\\d+", "100") .matchQuery("b", "[A-Z]", "X") .body("{\"name\": \"harry\"}") .willRespondWith() .status(200) .body("{\"hello\": \"harry\"}") ```
Integrates JaxRS Client Library
Eclipse JNoSQL Mapping, Artemis API, configuration reader
A client for the Restful Objects Viewer
BOM for Routes API
The FileVault introduces a JCR repository to filesystem mapping. The mapping is exposed by an API and used by the "FileVault Content Packages" which allow to create portable packages of repository content. The Vault Command Line Interface aka "vlt" provides a subversion like utility to work and develop with repository content. Apache Jackrabbit FileVault is a project of the Apache Software Foundation.
Specifies the API for accessing the federated virtual file system space. Provides a service provider API for a singleton file system manager, an I/O buffer pool and a file system driver map.
The FileVault introduces a JCR repository to filesystem mapping. The mapping is exposed by an API and used by the "FileVault Content Packages" which allow to create portable packages of repository content. The Vault Command Line Interface aka "vlt" provides a subversion like utility to work and develop with repository content. Apache Jackrabbit FileVault is a project of the Apache Software Foundation.
GWT library to access Google Maps javascript API
A scalable, concurrent, in-memory Key Value (KV) map. Oak implements a concurrent Key-Value map that can keep all keys and values off-heap. This enables working with bigger heap sizes than JVM's managed heap. OakMap implements an API similar to the industry standard Java8 ConcurrentNavigableMap API. It provides strong (atomic) semantics for read, write, and read-modify-write, as well as (non-atomic) range query (scan) operations, both forward and backward. OakMap is optimized for big keys and values, in particular, for incremental maintenance of objects (update in-place). It is faster and scales better with additional CPU cores than the popular Java ConcurrentNavigableMap ConcurrentSkipListMap
Coherent Map Reduce API
Coherent Map Reduce API
Handy extensions to the Google Maps Android API.
Library extending capabilities of Google Maps Android API v2
The FileVault introduces a JCR repository to filesystem mapping. The mapping is exposed by an API and used by the "FileVault Content Packages" which allow to create portable packages of repository content. The Vault Command Line Interface aka "vlt" provides a subversion like utility to work and develop with repository content. Apache Jackrabbit FileVault is a project of the Apache Software Foundation.
This package contains Microsoft Azure SDK for Traffic Management SDK. For documentation on how to use this package, please see https://aka.ms/azsdk/java/mgmt. Azure Maps Traffic REST APIs. Package tag 1.0-preview.
This package contains Microsoft Azure SDK for Timezone Management SDK. For documentation on how to use this package, please see https://aka.ms/azsdk/java/mgmt. Azure Maps Time Zone REST APIs. Package tag 1.0-preview.
This package contains Microsoft Azure SDK for Geolocation Management SDK. For documentation on how to use this package, please see https://aka.ms/azsdk/java/mgmt. Azure Maps Geolocation REST APIs. Package tag 1.0-preview.
This package contains Microsoft Azure SDK for Route Management SDK. For documentation on how to use this package, please see https://aka.ms/azsdk/java/mgmt. Azure Maps Route REST APIs. Package tag 1.0-preview.
BOM for Address Validation API
A Java library for Object-XML mapping of the ILCD data format.
Eclipse JNoSQL Mapping, Artemis API, to column NoSQL databases
Simple API for XML mapping and (de)serialization.