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This is a small collection of utility classes, that allow high performance XML processing based on SAX. Basically, it is assumed, that you are using an JAXP 1.1 compliant XML parser and nothing else. In particular, no dependency on the javax.xml.transform package is introduced.

This is a small collection of utility classes, that allow high performance XML processing based on SAX. Basically, it is assumed, that you are using an JAXP 1.1 compliant XML parser and nothing else. In particular, no dependency on the javax.xml.transform package is introduced.

This is a small collection of utility classes, that allow high performance XML processing based on SAX. Basically, it is assumed, that you are using an JAXP 1.1 compliant XML parser and nothing else. In particular, no dependency on the javax.xml.transform package is introduced.

Datastore SQL engine (DSQL) for Google appengine datastore. DSQL extends gae datastore in implementing local joins between datastore kinds as well as providing local filtering for unindexed properties. DSQL uses familiar sql-syntax. SQL joins are optimized using datastore statistics. It is assumed that datastore schema is designed like relational db. However parent/child relationships are supported. Also supported are special datatypes in package com.google.appengine.api.datastore like Email, Phonenumber, ...

Package containing a class that rescales the attributes in a classification problem based on their discriminative power. This is useful as a pre-processing step for learning algorithms such as the k-nearest-neighbour method, to replace simple normalization. Each attribute is rescaled by multiplying it with a learned weight. All attributes excluding the class are assumed to be numeric and missing values are not permitted. To achieve the rescaling, this package also contains an implementation of non-negative logistic regression, which produces a logistic regression model with non-negative weights .

This is a specialized version of the Clirr Maven Plugin. It adds capabilities for excluding specific error types, as well as separating code into three, rather than two, subgroups: Internal code (no checks) Externally invoked code (Annotated with an "externally invoked" annotation, same as Externally implemented, but adding methods to interfaces and abstract classes is allowed) Externally implemented code (Assumed default. Full backwards compatibility required *unless* an interface is annotated with a defined adaptor annotation, in which case full backwards compatibility is required for the adaptor class, but the rules of @ExternallyInvoked apply to the interface itself) Clirr is a tool that checks Java libraries for binary and source compatibility with older releases. Basically you give it two sets of jar files and Clirr dumps out a list of changes in the public API. The clirr-maven-plugin can be configured to break the build, if it detects incompatible api changes. In a continuous integration process, the clirr-maven-plugin can automatically prevent accidental introduction of binary or source compatibility problems. Additionally, the plugin can generate a report as part of the generated site.

Pact provider ============= sub project of https://github.com/DiUS/pact-jvm The pact provider is responsible for verifying that an API provider adheres to a number of pacts authored by its clients This library provides the basic tools required to automate the process, and should be usable on its own in many instances. Framework and build tool specific bindings will be provided in separate libraries that build on top of this core functionality. ### Running Pacts Main takes 2 arguments: The first is the root folder of your pact files (all .json files in root and subfolders are assumed to be pacts) The second is the location of your pact config json file. ### Pact config The pact config is a simple mapping of provider names to endpoint url's paths will be appended to endpoint url's when interactions are attempted for an example see: https://github.com/DiUS/pact-jvm/blob/master/pact-jvm-provider/src/test/resources/pact-config.json ### Provider State Before each interaction is executed, the provider under test will have the opportunity to enter a state. Generally the state maps to a set of fixture data for mocking out services that the provider is a consumer of (they will have their own pacts) The pact framework will instruct the test server to enter that state by sending: POST "${config.stateChangeUrl.url}/setup" { "state" : "${interaction.stateName}" } ### An example of running provider verification with junit This example uses java, junit and hamcrest matchers to run the provider verification. As the provider service is a DropWizard application, it uses the DropwizardAppRule to startup the service before running any test. Warning: It only grabs the first interaction from the pact file with the consumer, where there could be many. (This could possibly be solved with a parameterized test) ```java public class PactJVMProviderJUnitTest { @ClassRule public static TestRule startServiceRule = new DropwizardAppRule<DropwizardAppConfig>(DropwizardApp.class, "config.yml"); private static ProviderInfo serviceProvider; private static Pact testConsumerPact; @BeforeClass public static void setupProvider() { serviceProvider = new ProviderInfo("Dropwizard App"); serviceProvider.setProtocol("http"); serviceProvider.setHost("localhost"); serviceProvider.setPort(8080); serviceProvider.setPath("/"); ConsumerInfo consumer = new ConsumerInfo(); consumer.setName("test_consumer"); consumer.setPactFile(new File("target/pacts/ping_client-ping_service.json")); // serviceProvider.getConsumers().add(consumer); testConsumerPact = (Pact) new PactReader().loadPact(consumer.getPactFile()); } @Test @SuppressWarnings("unchecked") public void runConsumerPacts() { //grab the first interaction from the pact with consumer List<Interaction> interactions = scala.collection.JavaConversions.seqAsJavaList(testConsumerPact.interactions()); Interaction interaction1 = interactions.get(0); //setup any provider state //setup the client and interaction to fire against the provider ProviderClient client = new ProviderClient(); client.setProvider(serviceProvider); client.setRequest(interaction1.request()); Map<String, Object> clientResponse = (Map<String, Object>) client.makeRequest(); Map<String, Object> result = (Map<String, Object>) ResponseComparison.compareResponse(interaction1.response(), clientResponse, (int) clientResponse.get("statusCode"), (Map) clientResponse.get("headers"), (String) clientResponse.get("data")); //assert all good assertThat(result.get("method"), is(true)); // method type matches Map headers = (Map) result.get("headers"); //headers match headers.forEach( (k, v) -> assertThat(format("Header: [%s] does not match", k), v, org.hamcrest.Matchers.equalTo(true)) ); assertThat((Collection<Object>)((Map)result.get("body")).values(), org.hamcrest.Matchers.hasSize(0)); // empty list of body mismatches } } ``` ### An example of running provider verification with spock This example uses groovy and spock to run the provider verification. Again the provider service is a DropWizard application, and is using the DropwizardAppRule to startup the service. This example runs all interactions using spocks Unroll feature ```groovy class PactJVMProviderSpockSpec extends Specification { @ClassRule @Shared TestRule startServiceRule = new DropwizardAppRule<DropwizardAppConfig>(DropwizardApp.class, "config.yml"); @Shared ProviderInfo serviceProvider @Shared Pact testConsumerPact def setupSpec() { serviceProvider = new ProviderInfo("Dropwizard App") serviceProvider.protocol = "http" serviceProvider.host = "localhost" serviceProvider.port = 8080; serviceProvider.path = "/" def consumer = serviceProvider.hasPactWith("ping_consumer", { pactFile = new File('target/pacts/ping_client-ping_service.json') }) testConsumerPact = (Pact) new PactReader().loadPact(consumer.getPactFile()); } def cleanup() { //cleanup provider state //ie. db.truncateAllTables() } def cleanupSpec() { //cleanup provider } @Unroll def "Provider Pact - With Consumer"() { given: //setup provider state // ie. db.setupRecords() // serviceProvider.requestFilter = { req -> // req.addHeader('Authorization', token) // } when: ProviderClient client = new ProviderClient(provider: serviceProvider, request: interaction.request()) Map clientResponse = (Map) client.makeRequest() Map result = (Map) ResponseComparison.compareResponse(interaction.response(), clientResponse, clientResponse.statusCode, clientResponse.headers, clientResponse.data) then: // method matches result.method == true // headers all match, spock needs the size checked before // asserting each result if (result.headers.size() > 0) { result.headers.each() { k, v -> assert v == true } } // empty list of body mismatches result.body.size() == 0 where: interaction << scala.collection.JavaConversions.seqAsJavaList(testConsumerPact.interactions()) } } ```