File Formats

Library with PEPPOL test files of certain formats

Matlab's MAT-file I/O API in JAVA. Supports Matlab 5 MAT-flie format reading and writing. Written in pure JAVA.

The Process Control System's data handling package. This package contains data structures and readers and writers to write an input file format similar to HDF, as represented in XML.

This project builds on top of the CAS file management component and exposes its underlying data delivery capabilities using the OODT ProductServer component. All-in-all, this project contributes an OODT LargeProductHandler component, that can be used to deliver and format a CAS product structure into an OODT XML Query Result Set.

BioJava is an open-source project dedicated to providing a Java framework for processing biological data. It provides analytical and statistical routines, parsers for common file formats and allows the manipulation of sequences and 3D structures. The goal of the biojava project is to facilitate rapid application development for bioinformatics.

BioJava is an open-source project dedicated to providing a Java framework for processing biological data. It provides analytical and statistical routines, parsers for common file formats and allows the manipulation of sequences and 3D structures. The goal of the biojava project is to facilitate rapid application development for bioinformatics.

Norconex Importer is a Java library and command-line application meant to "parse" and "extract" content out of a computer file as plain text, whatever its format (HTML, PDF, Word, etc). In addition, it allows you to perform any manipulation on the extracted text before importing/using it in your own service or application.

Graal is a java toolkit dedicated to ontological query answering in the framework of existential rules. We consider knowledge bases composed of data and an ontology expressed by existential rules. The main features of Graal are the following: a basic layer that provides generic interfaces to store and query various kinds of data, forward chaining and query rewriting algorithms, structural analysis of decidability properties of a rule set, a textual format and its parser, and import of OWL 2 files. We describe in more detail the query rewriting algorithms, which rely on original techniques, and report some experiments.

Provides a file system driver for read-only access to the SelF eXtracting ZIP file format, alias SFX. Add the JAR artifact of this module to the run time class path to make its file system drivers available for service location in the client API modules.

Graal is a java toolkit dedicated to ontological query answering in the framework of existential rules. We consider knowledge bases composed of data and an ontology expressed by existential rules. The main features of Graal are the following: a basic layer that provides generic interfaces to store and query various kinds of data, forward chaining and query rewriting algorithms, structural analysis of decidability properties of a rule set, a textual format and its parser, and import of OWL 2 files. We describe in more detail the query rewriting algorithms, which rely on original techniques, and report some experiments.

Graal is a java toolkit dedicated to ontological query answering in the framework of existential rules. We consider knowledge bases composed of data and an ontology expressed by existential rules. The main features of Graal are the following: a basic layer that provides generic interfaces to store and query various kinds of data, forward chaining and query rewriting algorithms, structural analysis of decidability properties of a rule set, a textual format and its parser, and import of OWL 2 files. We describe in more detail the query rewriting algorithms, which rely on original techniques, and report some experiments.

Graal is a java toolkit dedicated to ontological query answering in the framework of existential rules. We consider knowledge bases composed of data and an ontology expressed by existential rules. The main features of Graal are the following: a basic layer that provides generic interfaces to store and query various kinds of data, forward chaining and query rewriting algorithms, structural analysis of decidability properties of a rule set, a textual format and its parser, and import of OWL 2 files. We describe in more detail the query rewriting algorithms, which rely on original techniques, and report some experiments.

Graal is a java toolkit dedicated to ontological query answering in the framework of existential rules. We consider knowledge bases composed of data and an ontology expressed by existential rules. The main features of Graal are the following: a basic layer that provides generic interfaces to store and query various kinds of data, forward chaining and query rewriting algorithms, structural analysis of decidability properties of a rule set, a textual format and its parser, and import of OWL 2 files. We describe in more detail the query rewriting algorithms, which rely on original techniques, and report some experiments.

Nepxion Skeleton is a generic codes and files generator based on freemaker for any text formats

Reads statistical data files in SPSS .sav format.

A package that provides serialization and deserialization capabilities for the Binary OWL file format

Graal is a java toolkit dedicated to ontological query answering in the framework of existential rules. We consider knowledge bases composed of data and an ontology expressed by existential rules. The main features of Graal are the following: a basic layer that provides generic interfaces to store and query various kinds of data, forward chaining and query rewriting algorithms, structural analysis of decidability properties of a rule set, a textual format and its parser, and import of OWL 2 files. We describe in more detail the query rewriting algorithms, which rely on original techniques, and report some experiments.

Nepxion Skeleton is a generic codes and files generator based on freemaker for any text formats

Rio (RDF I/O) is an API for parsers and writers of various RDF file formats.

This is the main aggregator for all gwt submodules. All gwt-specific code resides here. Submodules should avoid inheriting from each other unless necessary. This goes for maven structure and gwt.xml structure. The super module is where our jre emulation layer and super-source live; all modules should inherit super, and a minimum of other modules. Some modules, like injection, are fulfilling an api in the core module, and should be accessed only through core service interfaces. Other modules, like reflection, are capable of being standalone inherits, but can benefit from core utilities like injection, so, two (or more) .gwt.xml modules may be provided. As XApi nears 1.0, all submodules will be routinely stitched together into an uber-jar, in order to have a single jar with a single gwt module that can provide all of the services at once. Internal projects will never use the uber jar, to help maintain modularity, but external projects that want to use more than one service will certainly prefer inheriting one artifact, instead of twelve. When distributed in uber-jar format, it will likely be necessary for either the uber jar, or just xapi-gwt-api.jar to appear before gwt-dev on your compile-time classpath. If using gwt-maven-plugin, the gwtFirstOnClasspath option may become problematic. If so, we will provide a forked gwt-plugin to make sure our compiler enhancements are included in the build process. There is also work going on to make a super-source-everything plugin, which will use maven to find source files, and generate synthetic .gwt.xml for you, as part of an effort to create a wholly unified programming environment. In addition to java-to-javascript, we intend to compile java-to-java and possibly other languages, like go; imagine implementing gwt deferred binding to eliminate cross-platform differences between server environments, or operating systems, or versions of a platform, or anywhere else a core api needs to bind to multiple implementations, depending on the runtime environment.

Graal is a java toolkit dedicated to ontological query answering in the framework of existential rules. We consider knowledge bases composed of data and an ontology expressed by existential rules. The main features of Graal are the following: a basic layer that provides generic interfaces to store and query various kinds of data, forward chaining and query rewriting algorithms, structural analysis of decidability properties of a rule set, a textual format and its parser, and import of OWL 2 files. We describe in more detail the query rewriting algorithms, which rely on original techniques, and report some experiments.

Graal is a java toolkit dedicated to ontological query answering in the framework of existential rules. We consider knowledge bases composed of data and an ontology expressed by existential rules. The main features of Graal are the following: a basic layer that provides generic interfaces to store and query various kinds of data, forward chaining and query rewriting algorithms, structural analysis of decidability properties of a rule set, a textual format and its parser, and import of OWL 2 files. We describe in more detail the query rewriting algorithms, which rely on original techniques, and report some experiments.

Graal is a java toolkit dedicated to ontological query answering in the framework of existential rules. We consider knowledge bases composed of data and an ontology expressed by existential rules. The main features of Graal are the following: a basic layer that provides generic interfaces to store and query various kinds of data, forward chaining and query rewriting algorithms, structural analysis of decidability properties of a rule set, a textual format and its parser, and import of OWL 2 files. We describe in more detail the query rewriting algorithms, which rely on original techniques, and report some experiments.

Documentation for SemanticCMS File Taglib in SemanticCMS format.

pact-jvm-consumer-junit ======================= Provides a DSL and a base test class for use with Junit to build consumer tests. ##Dependency The library is available on maven central using: * group-id = `au.com.dius` * artifact-id = `pact-jvm-consumer-junit_2.11` * version-id = `3.0.x` ##Usage ### Using the base ConsumerPactTest To write a pact spec extend ConsumerPactTestMk2. This base class defines the following four methods which must be overridden in your test class. * *providerName:* Returns the name of the API provider that Pact will mock * *consumerName:* Returns the name of the API consumer that we are testing. * *createFragment:* Returns the PactFragment containing the interactions that the test setup using the ConsumerPactBuilder DSL * *runTest:* The actual test run. It receives the URL to the mock server as a parameter. Here is an example: ```java import au.com.dius.pact.consumer.dsl.PactDslWithProvider; import au.com.dius.pact.consumer.exampleclients.ConsumerClient; import au.com.dius.pact.consumer.ConsumerPactTest; import au.com.dius.pact.model.PactFragment; import org.junit.Assert; import java.io.IOException; import java.util.HashMap; import java.util.Map; import static org.junit.Assert.assertEquals; public class ExampleJavaConsumerPactTest extends ConsumerPactTest { @Override protected PactFragment createFragment(PactDslWithProvider builder) { Map<String, String> headers = new HashMap<String, String>(); headers.put("testreqheader", "testreqheadervalue"); return builder .given("test state") // NOTE: Using provider states are optional, you can leave it out .uponReceiving("ExampleJavaConsumerPactTest test interaction") .path("/") .method("GET") .headers(headers) .willRespondWith() .status(200) .headers(headers) .body("{\"responsetest\": true, \"name\": \"harry\"}") .given("test state 2") // NOTE: Using provider states are optional, you can leave it out .uponReceiving("ExampleJavaConsumerPactTest second test interaction") .method("OPTIONS") .headers(headers) .path("/second") .body("") .willRespondWith() .status(200) .headers(headers) .body("") .toFragment(); } @Override protected String providerName() { return "test_provider"; } @Override protected String consumerName() { return "test_consumer"; } @Override protected void runTest(String url) throws IOException { Assert.assertEquals(new ConsumerClient(url).options("/second"), 200); Map expectedResponse = new HashMap(); expectedResponse.put("responsetest", true); expectedResponse.put("name", "harry"); assertEquals(new ConsumerClient(url).getAsMap("/", ""), expectedResponse); assertEquals(new ConsumerClient(url).options("/second"), 200); } } ``` ### Using the Pact JUnit Rule Thanks to [@warmuuh](https://github.com/warmuuh) we have a JUnit rule that simplifies running Pact consumer tests. To use it, create a test class and then add the rule: #### 1. Add the Pact Rule to your test class to represent your provider. ```java @Rule public PactProviderRule mockProvider = new PactProviderRule("test_provider", "localhost", 8080, this); ``` The hostname and port are optional. If left out, it will default to localhost and a random available port. #### 2. Annotate a method with Pact that returns a pact fragment for the provider and consumer ```java @Pact(provider="test_provider", consumer="test_consumer") public PactFragment createFragment(PactDslWithProvider builder) { return builder .given("test state") .uponReceiving("ExampleJavaConsumerPactRuleTest test interaction") .path("/") .method("GET") .willRespondWith() .status(200) .body("{\"responsetest\": true}") .toFragment(); } ``` ##### Versions 3.0.2/2.2.13+ You can leave the provider name out. It will then use the provider name of the first mock provider found. I.e., ```java @Pact(consumer="test_consumer") // will default to the provider name from mockProvider public PactFragment createFragment(PactDslWithProvider builder) { return builder .given("test state") .uponReceiving("ExampleJavaConsumerPactRuleTest test interaction") .path("/") .method("GET") .willRespondWith() .status(200) .body("{\"responsetest\": true}") .toFragment(); } ``` #### 3. Annotate your test method with PactVerification to have it run in the context of the mock server setup with the appropriate pact from step 1 and 2 ```java @Test @PactVerification("test_provider") public void runTest() { Map expectedResponse = new HashMap(); expectedResponse.put("responsetest", true); assertEquals(new ConsumerClient("http://localhost:8080").get("/"), expectedResponse); } ``` ##### Versions 3.0.2/2.2.13+ You can leave the provider name out. It will then use the provider name of the first mock provider found. I.e., ```java @Test @PactVerification public void runTest() { // This will run against mockProvider Map expectedResponse = new HashMap(); expectedResponse.put("responsetest", true); assertEquals(new ConsumerClient("http://localhost:8080").get("/"), expectedResponse); } ``` For an example, have a look at [ExampleJavaConsumerPactRuleTest](src/test/java/au/com/dius/pact/consumer/examples/ExampleJavaConsumerPactRuleTest.java) ### Requiring a test with multiple providers The Pact Rule can be used to test with multiple providers. Just add a rule to the test class for each provider, and then include all the providers required in the `@PactVerification` annotation. For an example, look at [PactMultiProviderTest](src/test/java/au/com/dius/pact/consumer/pactproviderrule/PactMultiProviderTest.java). Note that if more than one provider fails verification for the same test, you will only receive a failure for one of them. Also, to have multiple tests in the same test class, the providers must be setup with random ports (i.e. don't specify a hostname and port). Also, if the provider name is left out of any of the annotations, the first one found will be used (which may not be the first one defined). ### Requiring the mock server to run with HTTPS [versions 3.2.7/2.4.9+] From versions 3.2.7/2.4.9+ the mock server can be started running with HTTPS using a self-signed certificate instead of HTTP. To enable this set the `https` parameter to `true`. E.g.: ```java @Rule public PactProviderRule mockTestProvider = new PactProviderRule("test_provider", "localhost", 8443, true, PactConfig.apply(PactSpecVersion.V2), this); // ^^^^ ``` For an exmaple test doing this, see [PactProviderHttpsTest](src/test/java/au/com/dius/pact/consumer/pactproviderrule/PactProviderHttpsTest.java). **NOTE:** The provider will start handling HTTPS requests using a self-signed certificate. Most HTTP clients will not accept connections to a self-signed server as the certificate is untrusted. You may need to enable insecure HTTPS with your client for this test to work. For an example of how to enable insecure HTTPS client connections with Apache Http Client, have a look at [InsecureHttpsRequest](src/test/java/org/apache/http/client/fluent/InsecureHttpsRequest.java). ### Using the Pact DSL directly Sometimes it is not convenient to use the ConsumerPactTest as it only allows one test per test class. The DSL can be used directly in this case. Example: ```java import au.com.dius.pact.consumer.ConsumerPactBuilder; import au.com.dius.pact.consumer.ConsumerPactTest; import au.com.dius.pact.consumer.PactError; import au.com.dius.pact.consumer.TestRun; import au.com.dius.pact.consumer.VerificationResult; import au.com.dius.pact.consumer.examples.client.ProviderClient; 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) { throw new RuntimeException(e); } } }); if (result instanceof PactError) { throw new RuntimeException(((PactError)result).error()); } assertEquals(ConsumerPactTest.PACT_VERIFIED, result); } } ``` ### The Pact JUnit DSL 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", 1) .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. __Version 3.2.4/2.4.6+__ You can specify the number of example items to generate in the array. The default is 1. ```java DslPart body = new PactDslJsonBody() .minArrayLike("users", 1, 2) .id() .stringType("name") .closeObject() .closeArray(); ``` This will generate the example body with 2 items in the users list. #### 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 } ] ``` __Version 3.2.4/2.4.6+__ You can specify the number of example items to generate in the array. The default is 1. #### 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()) ``` #### 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/313). 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\"}") ``` ## Debugging pact failures When the test runs, Pact will start a mock provider that will listen for requests and match them against the expectations you setup in `createFragment`. If the request does not match, it will return a 500 error response. Each request received and the generated response is logged using [SLF4J](http://www.slf4j.org/). Just enable debug level logging for au.com.dius.pact.consumer.UnfilteredMockProvider. Most failures tend to be mismatched headers or bodies. ## 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'] = "$buildDir/pacts" } ``` For maven, use the systemPropertyVariables configuration: ```xml <project> [...] <build> <plugins> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-surefire-plugin</artifactId> <version>2.18</version> <configuration> <systemPropertyVariables> <pact.rootDir>some/other/directory</pact.rootDir> <buildDirectory>${project.build.directory}</buildDirectory> [...] </systemPropertyVariables> </configuration> </plugin> </plugins> </build> [...] </project> ``` For SBT: ```scala fork in Test := true, javaOptions in Test := Seq("-Dpact.rootDir=some/other/directory") ``` # 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 set the specification version to V3. If you're using the `ConsumerPactTest` base class, you can override the `getSpecificationVersion` method. For example: ```java @Override protected PactSpecVersion getSpecificationVersion() { return PactSpecVersion.V3; } ``` If you are using the `PactProviderRule`, you can pass the version into the constructor for the rule. ```java @Rule public PactProviderRule mockTestProvider = new PactProviderRule("test_provider", PactSpecVersion.V3, this); ``` ## Consumer test for a message consumer For testing a consumer of messages from a message queue, the `MessagePactProviderRule` rule class works in much the same way as the `PactProviderRule` class for Request-Response interactions, but will generate a V3 format message pact file. For an example, look at [ExampleMessageConsumerTest](https://github.com/DiUS/pact-jvm/blob/master/pact-jvm-consumer-junit%2Fsrc%2Ftest%2Fjava%2Fau%2Fcom%2Fdius%2Fpact%2Fconsumer%2Fv3%2FExampleMessageConsumerTest.java)

The Documentation projects keeps together the documentation files in asciidoc and other formats for the Apache Tamaya project.

ProM Report Connector implements the Report Domain and generates files in MXML format, which can be analyzed with the ProM framework.

JSON is a light-weight, language independent, data interchange format. See http://www.JSON.org/ The files in this package implement JSON encoders/decoders in Java. It also includes the capability to convert between JSON and XML, HTTP headers, Cookies, and CDL. This is a reference implementation. There is a large number of JSON packages in Java. Perhaps someday the Java community will standardize on one. Until then, choose carefully. The license includes this restriction: "The software shall be used for good, not evil." If your conscience cannot live with that, then choose a different package.

Documentation for SemanticCMS File Style in SemanticCMS format.

Java library that allows New Relic objects to be created automatically from file based definitions. New Relic Alerts can be configured from alert channels, policies and conditions in CSV or spreadsheet format. New Relic Insights dashboards can be created from definition files in YAML format. It provides a set of tools to accelerate or automate the deployment of New Relic Alerts and Insights dashboards.

Convert Hearthstone log files to HSReplay XML format and provides an object model representation of the game

Aspose.Words for Java is a full-featured Word Processing API. It allows to read, modify, convert, generate, format, render and print human-readable documents. Aspose.Words for Java supports all the popular Word Processing file formats.

pact-jvm-consumer-junit ======================= Provides a DSL and a base test class for use with Junit to build consumer tests. ## Dependency The library is available on maven central using: * group-id = `au.com.dius` * artifact-id = `pact-jvm-consumer-junit` * version-id = `4.0.x` ## Usage ### Using the base ConsumerPactTest To write a pact spec extend ConsumerPactTest. This base class defines the following four methods which must be overridden in your test class. * *providerName:* Returns the name of the API provider that Pact will mock * *consumerName:* Returns the name of the API consumer that we are testing. * *createFragment:* Returns the PactFragment containing the interactions that the test setup using the ConsumerPactBuilder DSL * *runTest:* The actual test run. It receives the URL to the mock server as a parameter. Here is an example: ```java import au.com.dius.pact.consumer.dsl.PactDslWithProvider; import au.com.dius.pact.consumer.exampleclients.ConsumerClient; import au.com.dius.pact.consumer.ConsumerPactTest; import au.com.dius.pact.model.PactFragment; import org.junit.Assert; import java.io.IOException; import java.util.HashMap; import java.util.Map; import static org.junit.Assert.assertEquals; public class ExampleJavaConsumerPactTest extends ConsumerPactTest { @Override protected RequestResponsePact createFragment(PactDslWithProvider builder) { Map<String, String> headers = new HashMap<String, String>(); headers.put("testreqheader", "testreqheadervalue"); return builder .given("test state") // NOTE: Using provider states are optional, you can leave it out .uponReceiving("ExampleJavaConsumerPactTest test interaction") .path("/") .method("GET") .headers(headers) .willRespondWith() .status(200) .headers(headers) .body("{\"responsetest\": true, \"name\": \"harry\"}") .given("test state 2") // NOTE: Using provider states are optional, you can leave it out .uponReceiving("ExampleJavaConsumerPactTest second test interaction") .method("OPTIONS") .headers(headers) .path("/second") .body("") .willRespondWith() .status(200) .headers(headers) .body("") .toPact(); } @Override protected String providerName() { return "test_provider"; } @Override protected String consumerName() { return "test_consumer"; } @Override protected void runTest(MockServer mockServer, PactTestExecutionContext context) throws IOException { Assert.assertEquals(new ConsumerClient(mockServer.getUrl()).options("/second"), 200); Map expectedResponse = new HashMap(); expectedResponse.put("responsetest", true); expectedResponse.put("name", "harry"); assertEquals(new ConsumerClient(mockServer.getUrl()).getAsMap("/", ""), expectedResponse); assertEquals(new ConsumerClient(mockServer.getUrl()).options("/second"), 200); } } ``` ### Using the Pact JUnit Rule Thanks to [@warmuuh](https://github.com/warmuuh) we have a JUnit rule that simplifies running Pact consumer tests. To use it, create a test class and then add the rule: #### 1. Add the Pact Rule to your test class to represent your provider. ```java @Rule public PactProviderRule mockProvider = new PactProviderRule("test_provider", "localhost", 8080, this); ``` The hostname and port are optional. If left out, it will default to 127.0.0.1 and a random available port. You can get the URL and port from the pact provider rule. #### 2. Annotate a method with Pact that returns a pact fragment for the provider and consumer ```java @Pact(provider="test_provider", consumer="test_consumer") public RequestResponsePact createPact(PactDslWithProvider builder) { return builder .given("test state") .uponReceiving("ExampleJavaConsumerPactRuleTest test interaction") .path("/") .method("GET") .willRespondWith() .status(200) .body("{\"responsetest\": true}") .toPact(); } ``` You can leave the provider name out. It will then use the provider name of the first mock provider found. I.e., ```java @Pact(consumer="test_consumer") // will default to the provider name from mockProvider public RequestResponsePact createFragment(PactDslWithProvider builder) { return builder .given("test state") .uponReceiving("ExampleJavaConsumerPactRuleTest test interaction") .path("/") .method("GET") .willRespondWith() .status(200) .body("{\"responsetest\": true}") .toPact(); } ``` #### 3. Annotate your test method with PactVerification to have it run in the context of the mock server setup with the appropriate pact from step 1 and 2 ```java @Test @PactVerification("test_provider") public void runTest() { Map expectedResponse = new HashMap(); expectedResponse.put("responsetest", true); assertEquals(new ConsumerClient(mockProvider.getUrl()).get("/"), expectedResponse); } ``` You can leave the provider name out. It will then use the provider name of the first mock provider found. I.e., ```java @Test @PactVerification public void runTest() { // This will run against mockProvider Map expectedResponse = new HashMap(); expectedResponse.put("responsetest", true); assertEquals(new ConsumerClient("http://localhost:8080").get("/"), expectedResponse); } ``` For an example, have a look at [ExampleJavaConsumerPactRuleTest](src/test/java/au/com/dius/pact/consumer/examples/ExampleJavaConsumerPactRuleTest.java) ### Requiring a test with multiple providers The Pact Rule can be used to test with multiple providers. Just add a rule to the test class for each provider, and then include all the providers required in the `@PactVerification` annotation. For an example, look at [PactMultiProviderTest](src/test/java/au/com/dius/pact/consumer/pactproviderrule/PactMultiProviderTest.java). Note that if more than one provider fails verification for the same test, you will only receive a failure for one of them. Also, to have multiple tests in the same test class, the providers must be setup with random ports (i.e. don't specify a hostname and port). Also, if the provider name is left out of any of the annotations, the first one found will be used (which may not be the first one defined). ### Requiring the mock server to run with HTTPS The mock server can be started running with HTTPS using a self-signed certificate instead of HTTP. To enable this set the `https` parameter to `true`. E.g.: ```java @Rule public PactProviderRule mockTestProvider = new PactProviderRule("test_provider", "localhost", 8443, true, PactSpecVersion.V2, this); // ^^^^ ``` For an example test doing this, see [PactProviderHttpsTest](src/test/java/au/com/dius/pact/consumer/pactproviderrule/PactProviderHttpsTest.java). **NOTE:** The provider will start handling HTTPS requests using a self-signed certificate. Most HTTP clients will not accept connections to a self-signed server as the certificate is untrusted. You may need to enable insecure HTTPS with your client for this test to work. For an example of how to enable insecure HTTPS client connections with Apache Http Client, have a look at [InsecureHttpsRequest](src/test/java/org/apache/http/client/fluent/InsecureHttpsRequest.java). ### Requiring the mock server to run with HTTPS with a keystore The mock server can be started running with HTTPS using a keystore. To enable this set the `https` parameter to `true`, set the keystore path/file, and the keystore's password. E.g.: ```java @Rule public PactProviderRule mockTestProvider = new PactProviderRule("test_provider", "localhost", 8443, true, "/path/to/your/keystore.jks", "your-keystore-password", PactSpecVersion.V2, this); ``` For an example test doing this, see [PactProviderHttpsKeystoreTest](src/test/java/au/com/dius/pact/consumer/pactproviderrule/PactProviderHttpsKeystoreTest.java). ### Setting default expected request and response values If you have a lot of tests that may share some values (like headers), you can setup default values that will be applied to all the expected requests and responses for the tests. To do this, you need to create a method that takes single parameter of the appropriate type (`PactDslRequestWithoutPath` or `PactDslResponse`) and annotate it with the default marker annotation (`@DefaultRequestValues` or `@DefaultResponseValues`). For example: ```java @DefaultRequestValues public void defaultRequestValues(PactDslRequestWithoutPath request) { Map<String, String> headers = new HashMap<String, String>(); headers.put("testreqheader", "testreqheadervalue"); request.headers(headers); } @DefaultResponseValues public void defaultResponseValues(PactDslResponse response) { Map<String, String> headers = new HashMap<String, String>(); headers.put("testresheader", "testresheadervalue"); response.headers(headers); } ``` For an example test that uses these, have a look at [PactProviderWithMultipleFragmentsTest](src/test/java/au/com/dius/pact/consumer/pactproviderrule/PactProviderWithMultipleFragmentsTest.java) ### Note on HTTP clients and persistent connections Some HTTP clients may keep the connection open, based on the live connections settings or if they use a connection cache. This could cause your tests to fail if the client you are testing lives longer than an individual test, as the mock server will be started and shutdown for each test. This will result in the HTTP client connection cache having invalid connections. For an example of this where the there was a failure for every second test, see [Issue #342](https://github.com/DiUS/pact-jvm/issues/342). ### Using the Pact DSL directly Sometimes it is not convenient to use the ConsumerPactTest as it only allows one test per test class. The DSL can be used directly in this case. Example: ```java import au.com.dius.pact.consumer.ConsumerPactBuilder; import au.com.dius.pact.consumer.PactVerificationResult; import au.com.dius.pact.consumer.exampleclients.ProviderClient; import au.com.dius.pact.model.MockProviderConfig; import au.com.dius.pact.model.RequestResponsePact; import org.junit.Test; import java.io.IOException; import java.util.HashMap; import java.util.Map; import static au.com.dius.pact.consumer.ConsumerPactRunnerKt.runConsumerTest; import static org.junit.Assert.assertEquals; /** * Sometimes it is not convenient to use the ConsumerPactTest as it only allows one test per test class. * The DSL can be used directly in this case. */ public class DirectDSLConsumerPactTest { @Test public void testPact() { RequestResponsePact pact = 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\"}") .toPact(); MockProviderConfig config = MockProviderConfig.createDefault(); PactVerificationResult result = runConsumerTest(pact, config, (mockServer, context) -> { Map expectedResponse = new HashMap(); expectedResponse.put("hello", "harry"); try { assertEquals(new ProviderClient(mockServer.getUrl()).hello("{\"name\": \"harry\"}"), expectedResponse); } catch (IOException e) { throw new RuntimeException(e); } }); if (result instanceof PactVerificationResult.Error) { throw new RuntimeException(((PactVerificationResult.Error)result).getError()); } assertEquals(PactVerificationResult.Ok.INSTANCE, result); } } ``` ### The Pact JUnit DSL 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\"}") . . . .toPact() ``` 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 **NOTE:** If you are using Java 8, there is [an updated DSL for consumer tests](../pact-jvm-consumer-java8). 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 | | includesStr | Will match strings containing the provided string | | equalsTo | Will match using equals | | matchUrl | Defines a matcher for URLs, given the base URL path and a sequence of path fragments. The path fragments could be strings or regular expression matchers | _\* 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 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", 1) .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. You can specify the number of example items to generate in the array. The default is 1. ```java DslPart body = new PactDslJsonBody() .minArrayLike("users", 1, 2) .id() .stringType("name") .closeObject() .closeArray(); ``` This will generate the example body with 2 items in the users list. #### Root level arrays that match all items 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 } ] ``` You can specify the number of example items to generate in the array. The default is 1. #### Matching JSON values at the root 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()) ``` #### Matching any key in a map 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/313). 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). **Further Note: From version 3.5.22 onwards pacts with wildcards applied to map keys will require the Java system property "pact.matching.wildcard" set to value "true" when the pact file is verified.** #### Combining matching rules with AND/OR Matching rules can be combined with AND/OR. There are two methods available on the DSL for this. For example: ```java DslPart body = new PactDslJsonBody() .numberValue("valueA", 100) .and("valueB","AB", PM.includesStr("A"), PM.includesStr("B")) // Must match both matching rules .or("valueC", null, PM.date(), PM.nullValue()) // will match either a valid date or a null value ``` The `and` and `or` methods take a variable number of matchers (varargs). ### Matching on paths 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 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 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\"}") ``` ## Debugging pact failures When the test runs, Pact will start a mock provider that will listen for requests and match them against the expectations you setup in `createFragment`. If the request does not match, it will return a 500 error response. Each request received and the generated response is logged using [SLF4J](http://www.slf4j.org/). Just enable debug level logging for au.com.dius.pact.consumer.UnfilteredMockProvider. Most failures tend to be mismatched headers or bodies. ## Changing the directory pact files are written to By default, pact files are written to `target/pacts` (or `build/pacts` if you use Gradle), 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'] = "$buildDir/custom-pacts-directory" } ``` For maven, use the systemPropertyVariables configuration: ```xml <project> [...] <build> <plugins> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-surefire-plugin</artifactId> <version>2.18</version> <configuration> <systemPropertyVariables> <pact.rootDir>some/other/directory</pact.rootDir> <buildDirectory>${project.build.directory}</buildDirectory> [...] </systemPropertyVariables> </configuration> </plugin> </plugins> </build> [...] </project> ``` For SBT: ```scala fork in Test := true, javaOptions in Test := Seq("-Dpact.rootDir=some/other/directory") ``` ### Using `@PactFolder` annotation You can override the directory the pacts are written in a test by adding the `@PactFolder` annotation to the test class. ## Forcing pact files to be overwritten (3.6.5+) By default, when the pact file is written, it will be merged with any existing pact file. To force the file to be overwritten, set the Java system property `pact.writer.overwrite` to `true`. # Publishing your pact files to a pact broker If you use Gradle, you can use the [pact Gradle plugin](../../provider/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. * Multiple provider states can be defined with data parameters. ## Generating V2 spec pact files To have your consumer tests generate V2 format pacts, you can set the specification version to V2. If you're using the `ConsumerPactTest` base class, you can override the `getSpecificationVersion` method. For example: ```java @Override protected PactSpecVersion getSpecificationVersion() { return PactSpecVersion.V2; } ``` If you are using the `PactProviderRule`, you can pass the version into the constructor for the rule. ```java @Rule public PactProviderRule mockTestProvider = new PactProviderRule("test_provider", PactSpecVersion.V2, this); ``` ## Consumer test for a message consumer For testing a consumer of messages from a message queue, the `MessagePactProviderRule` rule class works in much the same way as the `PactProviderRule` class for Request-Response interactions, but will generate a V3 format message pact file. For an example, look at [ExampleMessageConsumerTest](src/test/java/au/com/dius/pact/consumer/v3%2FExampleMessageConsumerTest.java) # Having values injected from provider state callbacks (3.6.11+) You can have values from the provider state callbacks be injected into most places (paths, query parameters, headers, bodies, etc.). This works by using the V3 spec generators with provider state callbacks that return values. One example of where this would be useful is API calls that require an ID which would be auto-generated by the database on the provider side, so there is no way to know what the ID would be beforehand. The following DSL methods all you to set an expression that will be parsed with the values returned from the provider states: For JSON bodies, use `valueFromProviderState`.<br/> For headers, use `headerFromProviderState`.<br/> For query parameters, use `queryParameterFromProviderState`.<br/> For paths, use `pathFromProviderState`. For example, assume that an API call is made to get the details of a user by ID. A provider state can be defined that specifies that the user must be exist, but the ID will be created when the user is created. So we can then define an expression for the path where the ID will be replaced with the value returned from the provider state callback. ```java .pathFromProviderState("/api/users/${id}", "/api/users/100") ``` You can also just use the key instead of an expression: ```java .valueFromProviderState('userId', 'userId', 100) // will look value using userId as the key ```

This is the main aggregator for all gwt submodules. All gwt-specific code resides here. Submodules should avoid inheriting from each other unless necessary. This goes for maven structure and gwt.xml structure. The super module is where our jre emulation layer and super-source live; all modules should inherit super, and a minimum of other modules. Some modules, like injection, are fulfilling an api in the core module, and should be accessed only through core service interfaces. Other modules, like reflection, are capable of being standalone inherits, but can benefit from core utilities like injection, so, two (or more) .gwt.xml modules may be provided. As XApi nears 1.0, all submodules will be routinely stitched together into an uber-jar, in order to have a single jar with a single gwt module that can provide all of the services at once. Internal projects will never use the uber jar, to help maintain modularity, but external projects that want to use more than one service will certainly prefer inheriting one artifact, instead of twelve. When distributed in uber-jar format, it will likely be necessary for either the uber jar, or just xapi-gwt-api.jar to appear before gwt-dev on your compile-time classpath. If using gwt-maven-plugin, the gwtFirstOnClasspath option may become problematic. If so, we will provide a forked gwt-plugin to make sure our compiler enhancements are included in the build process. There is also work going on to make a super-source-everything plugin, which will use maven to find source files, and generate synthetic .gwt.xml for you, as part of an effort to create a wholly unified programming environment. In addition to java-to-javascript, we intend to compile java-to-java and possibly other languages, like go; imagine implementing gwt deferred binding to eliminate cross-platform differences between server environments, or operating systems, or versions of a platform, or anywhere else a core api needs to bind to multiple implementations, depending on the runtime environment.

The goal of this project is to allow the use of the Inversion of Control pattern at compile time so it can be applied in any context, and for virtually any langage: IoC configuration files are resolved at compile time and converted into the appropriate piece of code. IoC configuration file uses the very-wide spread Spring framework XML format. Generated code won't depend on any framework, making it easy to integrate it into any kind of application.

File format implementation for the TURF serialization of URF.

Jsonview framework built on Jackson framework,Implementation through XML configuration file to customize the json format, greatly improved the Java generates a json string freedom, let the development of modular more convenient quickly.

Jsonview framework built on Jackson framework,Implementation through XML configuration file to customize the json format, greatly improved the Java generates a json string freedom, let the development of modular more convenient quickly.

File format provider for TURF files.

jWeb1T is an open source Java tool for efficiently searching n-gram data in the Web 1T 5-gram corpus format. It is based on a binary search algorithm that finds the n-grams and returns their frequency counts in logarithmic time. As the corpus is stored in many files a simple index is used to retrieve the files containing the n-grams.

Jakarta POI - Java API To Access Microsoft Format Files

A simple library for merging log files with different format of lines timestamps to a single file or readable source. with lines sorted by timestamps. See the https://github.com/credibledoc/credible-doc/tree/master/log-combiner-parent/log-combiner-core page.

Reading, writing and basic validation of mzTab-M data files in JSON, CSV or object format.

Graal is a java toolkit dedicated to ontological query answering in the framework of existential rules. We consider knowledge bases composed of data and an ontology expressed by existential rules. The main features of Graal are the following: a basic layer that provides generic interfaces to store and query various kinds of data, forward chaining and query rewriting algorithms, structural analysis of decidability properties of a rule set, a textual format and its parser, and import of OWL 2 files. We describe in more detail the query rewriting algorithms, which rely on original techniques, and report some experiments.

Graal is a java toolkit dedicated to ontological query answering in the framework of existential rules. We consider knowledge bases composed of data and an ontology expressed by existential rules. The main features of Graal are the following: a basic layer that provides generic interfaces to store and query various kinds of data, forward chaining and query rewriting algorithms, structural analysis of decidability properties of a rule set, a textual format and its parser, and import of OWL 2 files. We describe in more detail the query rewriting algorithms, which rely on original techniques, and report some experiments.

Graal is a java toolkit dedicated to ontological query answering in the framework of existential rules. We consider knowledge bases composed of data and an ontology expressed by existential rules. The main features of Graal are the following: a basic layer that provides generic interfaces to store and query various kinds of data, forward chaining and query rewriting algorithms, structural analysis of decidability properties of a rule set, a textual format and its parser, and import of OWL 2 files. We describe in more detail the query rewriting algorithms, which rely on original techniques, and report some experiments.

A tool developed by the UK National Archives to perform automated batch identification of file formats.

A tool developed by the UK National Archives to perform automated batch identification of file formats.

A tool developed by the UK National Archives to perform automated batch identification of file formats.

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