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This library provides the necessary implementations to screen the following patterns: Bullish Belt Hold Bearish Belt Hold Hammer Hanging Man Southern Doji Northern Doji Gapping Up Doji Gapping Down Doji Takuri Line One Candle Shooting Star Bullish Strong Line Bearish Strong Line Bullish Harami Bearish Harami Bullish Engulfing Bearish Engulfing Bullish Kicking Bearish Kicking Matching Low Matching High Bullish Harami Cross Bearish Harami Cross Bullish Doji Star Bearish Doji Star Dark Cloud Cover Piercing Line Descending Hawk Homing Pigeon Bullish Abandoned Baby Bearish Abandoned Baby Three Inside Up Three Inside Down Three Outside Up Three Outside Down Three White Soldiers Three Black Crows Morning Doji Star Evening Doji Star Morning Star Evening Star Upside Tasuki Gap Downside Tasuki Gap Bullish Side by Side White Lines Bearish Side by Side White Lines Rising Three Method

A bottom-up rewrite machine is a compiler construction tool that is often used in the compiler's back end to convert a tree-structured representation of a program into machine code -- or, in Java's case, bytecode. JBurg can also be used as a general-purpose dynamic programming engine. JBurg is descended from iburg-class BURGs, described in Fraser, Hanson, and Proebsting's paper, "Engineering a Simple, Efficient Code Generator Generator." JBurg brings similar O(N) minimum-cost tree rewriting capabilities to Java, and also allows the programmer to specify transitions between non-terminal states, that are significantly more powerful than iburg's transitive closures: JBurg transformation rules allow the transformation to inject additional program logic, which makes a JBurg specification more like a grammar than like a list of pattern-matching rules.

Jadex Rules is a small lightweight rule engine, which currently employs the well-known Rete algorithm for highly efficient rule matching. Jadex rules is therefore similar to other rule engines like JESS and Drools. Despite the similarities there are also important differences between these systems: * Jadex Rules is very small and intended to be used as component of other software. Even though rules can be specified in a Java dialect as well as (a small variation of) the CLIPS language its primary usage is on the API level. Jadex Rules is currently the core component of the Jadex BDI reasoning engine. * Jadex Rules cleanly separates between state and rule representation. This allows the state implementation as well as the matcher to be flexibly exchanged. Some experiments have e.g. been conducted with a Jena representation. Regarding the matcher, it is planned to support also the Treat algorithm, which has a lower memory footprint than Rete. * Jadex Rules pays close attention to rule debugging. The state as well as the rete engine can be observed at runtime. The rule debugger provides functionalities to execute a rule program stepwise and also use rule breakpoints to stop the execution at those points.

Jadex Rules is a small lightweight rule engine, which currently employs the well-known Rete algorithm for highly efficient rule matching. Jadex rules is therefore similar to other rule engines like JESS and Drools. Despite the similarities there are also important differences between these systems: * Jadex Rules is very small and intended to be used as component of other software. Even though rules can be specified in a Java dialect as well as (a small variation of) the CLIPS language its primary usage is on the API level. Jadex Rules is currently the core component of the Jadex BDI reasoning engine. * Jadex Rules cleanly separates between state and rule representation. This allows the state implementation as well as the matcher to be flexibly exchanged. Some experiments have e.g. been conducted with a Jena representation. Regarding the matcher, it is planned to support also the Treat algorithm, which has a lower memory footprint than Rete. * Jadex Rules pays close attention to rule debugging. The state as well as the rete engine can be observed at runtime. The rule debugger provides functionalities to execute a rule program stepwise and also use rule breakpoints to stop the execution at those points.

pact-jvm-consumer-specs2 ======================== ## Specs2 Bindings for the pact-jvm library ## Dependency In the root folder of your project in build.sbt add the line: ```scala libraryDependencies += "au.com.dius" %% "pact-jvm-consumer-specs2" % "3.2.11" ``` or if you are using Gradle: ```groovy dependencies { testCompile "au.com.dius:pact-jvm-consumer-specs2_2.11:3.2.11" } ``` __*Note:*__ `PactSpec` requires spec2 3.x. Also, for spray users there's an incompatibility between specs2 v3.x and spray. Follow these instructions to resolve that problem: https://groups.google.com/forum/#!msg/spray-user/2T6SBp4OJeI/AJlnJuAKPRsJ ## Usage To author a test, mix `PactSpec` into your spec First we define a service client called `ConsumerService`. In our example this is a simple wrapper for `dispatch`, an HTTP client. The source code can be found in the test folder alongside the `ExamplePactSpec`. Here is a simple example: ``` import au.com.dius.pact.consumer.PactSpec class ExamplePactSpec extends Specification with PactSpec { val consumer = "My Consumer" val provider = "My Provider" override def is = uponReceiving("a request for foo") .matching(path = "/foo") .willRespondWith(body = "{}") .withConsumerTest { providerConfig => Await.result(ConsumerService(providerConfig.url).simpleGet("/foo"), Duration(1000, MILLISECONDS)) must beEqualTo(200, Some("{}")) } } ``` This spec will be run along with the rest of your specs2 unit tests and will output your pact json to ``` /target/pacts/<Consumer>_<Provider>.json ``` # 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`.

pact-jvm-consumer-specs2 ======================== ## Specs2 Bindings for the pact-jvm library ## Dependency In the root folder of your project in build.sbt add the line: ```scala libraryDependencies += "au.com.dius" %% "pact-jvm-consumer-specs2" % "3.2.11" ``` or if you are using Gradle: ```groovy dependencies { testCompile "au.com.dius:pact-jvm-consumer-specs2_2.11:3.2.11" } ``` __*Note:*__ `PactSpec` requires spec2 3.x. Also, for spray users there's an incompatibility between specs2 v3.x and spray. Follow these instructions to resolve that problem: https://groups.google.com/forum/#!msg/spray-user/2T6SBp4OJeI/AJlnJuAKPRsJ ## Usage To author a test, mix `PactSpec` into your spec First we define a service client called `ConsumerService`. In our example this is a simple wrapper for `dispatch`, an HTTP client. The source code can be found in the test folder alongside the `ExamplePactSpec`. Here is a simple example: ``` import au.com.dius.pact.consumer.PactSpec class ExamplePactSpec extends Specification with PactSpec { val consumer = "My Consumer" val provider = "My Provider" override def is = uponReceiving("a request for foo") .matching(path = "/foo") .willRespondWith(body = "{}") .withConsumerTest { providerConfig => Await.result(ConsumerService(providerConfig.url).simpleGet("/foo"), Duration(1000, MILLISECONDS)) must beEqualTo(200, Some("{}")) } } ``` This spec will be run along with the rest of your specs2 unit tests and will output your pact json to ``` /target/pacts/<Consumer>_<Provider>.json ```

pact-jvm-consumer-specs2 ======================== ## Specs2 Bindings for the pact-jvm library ## Dependency In the root folder of your project in build.sbt add the line: ```scala libraryDependencies += "au.com.dius" %% "pact-jvm-consumer-specs2" % "3.2.2" ``` or if you are using Gradle: ```groovy dependencies { testCompile "au.com.dius:pact-jvm-consumer-specs2_2.11:3.2.2" } ``` __*Note:*__ `PactSpec` requires spec2 3.x. Also, for spray users there's an incompatibility between specs2 v3.x and spray. Follow these instructions to resolve that problem: https://groups.google.com/forum/#!msg/spray-user/2T6SBp4OJeI/AJlnJuAKPRsJ ## Usage To author a test, mix `PactSpec` into your spec First we define a service client called `ConsumerService`. In our example this is a simple wrapper for `dispatch`, an HTTP client. The source code can be found in the test folder alongside the `ExamplePactSpec`. Here is a simple example: ``` import au.com.dius.pact.consumer.PactSpec class ExamplePactSpec extends Specification with PactSpec { val consumer = "My Consumer" val provider = "My Provider" override def is = uponReceiving("a request for foo") .matching(path = "/foo") .willRespondWith(body = "{}") .withConsumerTest { providerConfig => Await.result(ConsumerService(providerConfig.url).simpleGet("/foo"), Duration(1000, MILLISECONDS)) must beEqualTo(200, Some("{}")) } } ``` This spec will be run along with the rest of your specs2 unit tests and will output your pact json to ``` /target/pacts/<Consumer>_<Provider>.json ```

Jadex Rules is a small lightweight rule engine, which currently employs the well-known Rete algorithm for highly efficient rule matching. Jadex rules is therefore similar to other rule engines like JESS and Drools. Despite the similarities there are also important differences between these systems: * Jadex Rules is very small and intended to be used as component of other software. Even though rules can be specified in a Java dialect as well as (a small variation of) the CLIPS language its primary usage is on the API level. Jadex Rules is currently the core component of the Jadex BDI reasoning engine. * Jadex Rules cleanly separates between state and rule representation. This allows the state implementation as well as the matcher to be flexibly exchanged. Some experiments have e.g. been conducted with a Jena representation. Regarding the matcher, it is planned to support also the Treat algorithm, which has a lower memory footprint than Rete. * Jadex Rules pays close attention to rule debugging. The state as well as the rete engine can be observed at runtime. The rule debugger provides functionalities to execute a rule program stepwise and also use rule breakpoints to stop the execution at those points.

pact-jvm-consumer-specs2 ======================== ## Specs2 Bindings for the pact-jvm library ## Dependency In the root folder of your project in build.sbt add the line: ```scala libraryDependencies += "au.com.dius.pact.consumer" %% "specs2" % "4.0.1" ``` or if you are using Gradle: ```groovy dependencies { testCompile "au.com.dius.pact.consumer:specs2_2.13:4.0.1" } ``` __*Note:*__ `PactSpec` requires spec2 3.x. Also, for spray users there's an incompatibility between specs2 v3.x and spray. Follow these instructions to resolve that problem: https://groups.google.com/forum/#!msg/spray-user/2T6SBp4OJeI/AJlnJuAKPRsJ ## Usage To author a test, mix `PactSpec` into your spec First we define a service client called `ConsumerService`. In our example this is a simple wrapper for `dispatch`, an HTTP client. The source code can be found in the test folder alongside the `ExamplePactSpec`. Here is a simple example: ``` import au.com.dius.pact.consumer.PactSpec class ExamplePactSpec extends Specification with PactSpec { val consumer = "My Consumer" val provider = "My Provider" override def is = uponReceiving("a request for foo") .matching(path = "/foo") .willRespondWith(body = "{}") .withConsumerTest { providerConfig => Await.result(ConsumerService(providerConfig.url).simpleGet("/foo"), Duration(1000, MILLISECONDS)) must beEqualTo(200, Some("{}")) } } ``` This spec will be run along with the rest of your specs2 unit tests and will output your pact json to ``` /target/pacts/<Consumer>_<Provider>.json ``` # 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`. # Test Analytics We are tracking anonymous analytics to gather important usage statistics like JVM version and operating system. To disable tracking, set the 'pact_do_not_track' system property or environment variable to 'true'.

pact-jvm-consumer-junit5 ======================== JUnit 5 support for Pact consumer tests ## Dependency The library is available on maven central using: * group-id = `au.com.dius` * artifact-id = `pact-jvm-consumer-junit5_2.12` * version-id = `3.5.x` ## Usage ### 1. Add the Pact consumer test extension to the test class. To write Pact consumer tests with JUnit 5, you need to add `@ExtendWith(PactConsumerTestExt)` to your test class. This replaces the `PactRunner` used for JUnit 4 tests. The rest of the test follows a similar pattern as for JUnit 4 tests. ```java @ExtendWith(PactConsumerTestExt.class) class ExampleJavaConsumerPactTest { ``` ### 2. create a method annotated with `@Pact` that returns the interactions for the test For each test (as with JUnit 4), you need to define a method annotated with the `@Pact` annotation that returns the interactions for the test. ```java @Pact(provider="test_provider", consumer="test_consumer") public RequestResponsePact createPact(PactDslWithProvider builder) { return builder .given("test state") .uponReceiving("ExampleJavaConsumerPactTest test interaction") .path("/") .method("GET") .willRespondWith() .status(200) .body("{\"responsetest\": true}") .toPact(); } ``` ### 3. Link the mock server with the interactions for the test with `@PactTestFor` Then the final step is to use the `@PactTestFor` annotation to tell the Pact extension how to setup the Pact test. You can either put this annotation on the test class, or on the test method. For examples see [ArticlesTest](src/test/java/au/com/dius/pact/consumer/junit5/ArticlesTest.java) and [MultiTest](src/test/groovy/au/com/dius/pact/consumer/junit5/MultiTest.groovy). The `@PactTestFor` annotation allows you to control the mock server in the same way as the JUnit 4 `PactProviderRule`. It allows you to set the hostname to bind to (default is `localhost`) and the port (default is to use a random port). You can also set the Pact specification version to use (default is V3). ```java @ExtendWith(PactConsumerTestExt.class) @PactTestFor(providerName = "ArticlesProvider", port = "1234") public class ExampleJavaConsumerPactTest { ``` **NOTE on the hostname**: The mock server runs in the same JVM as the test, so the only valid values for hostname are: | hostname | result | | -------- | ------ | | `localhost` | binds to the address that localhost points to (normally the loopback adapter) | | `127.0.0.1` or `::1` | binds to the loopback adapter | | host name | binds to the default interface that the host machines DNS name resolves to | | `0.0.0.0` or `::` | binds to the all interfaces on the host machine | #### Matching the interactions by provider name If you set the `providerName` on the `@PactTestFor` annotation, then the first method with a `@Pact` annotation with the same provider name will be used. See [ArticlesTest](src/test/java/au/com/dius/pact/consumer/junit5/ArticlesTest.java) for an example. #### Matching the interactions by method name If you set the `pactMethod` on the `@PactTestFor` annotation, then the method with the provided name will be used (it still needs a `@Pact` annotation). See [MultiTest](src/test/groovy/au/com/dius/pact/consumer/junit5/MultiTest.groovy) for an example. ### Injecting the mock server into the test You can get the mock server injected into the test method by adding a `MockServer` parameter to the test method. ```java @Test void test(MockServer mockServer) { HttpResponse httpResponse = Request.Get(mockServer.getUrl() + "/articles.json").execute().returnResponse(); assertThat(httpResponse.getStatusLine().getStatusCode(), is(equalTo(200))); } ``` This helps with getting the base URL of the mock server, especially when a random port is used. ## Unsupported The current implementation does not support tests with multiple providers. This will be added in a later release.