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GitHub - karatelabs/karate: Test Automation Made Simple
Karate
Test Automation Made Simple.
Karate is the only open-source tool to combine API test-automation, mocks, performance-testing and even UI automation into a single, unified framework. The syntax is language-neutral, and easy for even non-programmers. Assertions and HTML reports are built-in, and you can run tests in parallel for speed.
There's also a cross-platform stand-alone executable for teams not comfortable with Java. You don't have to compile code. Just write tests in a simple, readable syntax - carefully designed for HTTP, JSON, GraphQL and XML. And you can mix API and UI test-automation within the same test script.
A Java API also exists for those who prefer to programmatically integrate Karate's rich automation and data-assertion capabilities.
Hello World
For API Testing
If you are familiar with Cucumber / Gherkin, the big difference here is that you don't need to write extra "glue" code or Java "step definitions" !
It is worth pointing out that JSON is a 'first class citizen' of the syntax such that you can express payload and expected data without having to use double-quotes and without having to enclose JSON field names in quotes. There is no need to 'escape' characters like you would have had to in Java or other programming languages.
And you don't need to create additional Java classes for any of the payloads that you need to work with.
Index
Features
- Java knowledge is not required and even non-programmers can write tests
- Scripts are plain-text, require no compilation step or IDE, and teams can collaborate using Git / standard SCM
- Based on the popular Cucumber / Gherkin standard - with IDE support and syntax-coloring options
- Elegant DSL syntax 'natively' supports JSON and XML - including JsonPath and XPath expressions
- Eliminate the need for 'Java Beans' or 'helper code' to represent payloads and HTTP end-points, and dramatically reduce the lines of code needed for a test
- Ideal for testing the highly dynamic responses from GraphQL API-s because of Karate's built-in text-manipulation and JsonPath capabilities
- Tests are super-readable - as scenario data can be expressed in-line, in human-friendly JSON, XML, Cucumber Scenario Outline tables, or a payload builder approach unique to Karate
- Express expected results as readable, well-formed JSON or XML, and assert in a single step that the entire response payload (no matter how complex or deeply nested) - is as expected
- Comprehensive assertion capabilities - and failures clearly report which data element (and path) is not as expected, for easy troubleshooting of even large payloads
- Fully featured debugger that can step backwards and even re-play a step while editing it - a huge time-saver
- Simpler and more powerful alternative to JSON-schema for validating payload structure and format - that even supports cross-field / domain validation logic
- Scripts can call other scripts - which means that you can easily re-use and maintain authentication and 'set up' flows efficiently, across multiple tests
- Embedded JavaScript engine that allows you to build a library of re-usable functions that suit your specific environment or organization
- Re-use of payload-data and user-defined functions across tests is so easy - that it becomes a natural habit for the test-developer
- Built-in support for switching configuration across different environments (e.g. dev, QA, pre-prod)
- Support for data-driven tests and being able to tag or group tests is built-in, no need to rely on an external framework
- Native support for reading YAML and even CSV files - and you can use them for data-driven tests
- Standard Java / Maven project structure, and seamless integration into CI / CD pipelines - and support for JUnit 5
- Option to use as a light-weight stand-alone executable - convenient for teams not comfortable with Java
- Multi-threaded parallel execution, which is a huge time-saver, especially for integration and end-to-end tests
- Built-in test-reports compatible with Cucumber so that you have the option of using third-party (open-source) maven-plugins for even better-looking reports
- Reports include HTTP request and response logs in-line, which makes troubleshooting and debugging easier
- Easily invoke JDK classes, Java libraries, or re-use custom Java code if needed, for ultimate extensibility
- Simple plug-in system for authentication and HTTP header management that will handle any complex, real-world scenario
- Cross-browser Web UI automation so that you can test all layers of your application with the same framework
- [experimental] Android and iOS mobile support via Appium
- Visual Validation via the built-in image comparison capabilities
- Cross platform Desktop Automation that can be mixed into Web Automation flows if needed
- Option to invoke via a Java API, which means that you can easily mix Karate into Java projects or legacy UI-automation suites
- Save significant effort by re-using Karate test-suites as Gatling performance tests that deeply assert that server responses are accurate under load
- Gatling integration can hook into any custom Java code - which means that you can perf-test even non-HTTP protocols such as gRPC
- API mocks or test-doubles that even maintain CRUD 'state' across multiple calls - enabling TDD for micro-services and Consumer Driven Contracts
- Async support that allows you to seamlessly integrate the handling of custom events or listening to message-queues
- Built-in HTML templating so that you can extend your test-reports into readable specifications
- Comprehensive support for different flavors of HTTP calls:
- SOAP / XML requests
- HTTPS / SSL - without needing certificates, key-stores or trust-stores
- HTTP proxy server support
- URL-encoded HTML-form data
- Multi-part file-upload - including
multipart/mixed
andmultipart/related
- Browser-like cookie handling
- Full control over HTTP headers, path and query parameters
- Re-try until condition
- Websocket support
Real World Examples
A set of real-life examples can be found here: Karate Demos
Comparison with REST-assured
For teams familiar with or currently using REST-assured, this detailed comparison of Karate vs REST-assured - can help you evaluate Karate. Do note that if you prefer a pure Java API - Karate has that covered, and with far more capabilities.
References
- API Testing with Karate - video + demos by Peter Thomas (creator / lead dev of Karate)
- Introducing Karate: The ULTIMATE Test Automation Tool - video by James Willett
- Karate in the ThoughtWorks Tech Radar and featured a second time
- マイクロサービスにおけるテスト自動化 with Karate - (Microservices Test Automation with Karate) presentation by Takanori Suzuki
- Writing API Tests with Karate - book by Benjamin Bischoff, Packt Publishing, 2023
- Karate Webinar - Simplificando automação de API com Karate Framework by Luana Assis from Base2 Tecnologia
Karate also has a dedicated "tag", and a very active and supportive community at Stack Overflow - where you can get support and ask questions.
You can find a lot more references, tutorials and blog-posts at karatelabs.io.
Getting Started
If you are a Java developer - Karate requires at least Java 17 and then either Maven, Gradle, or a Java IDE that embeds either to be installed. Note that Karate works fine on OpenJDK.
If you are new to programming or test-automation, the official IntelliJ plugin is recommended.
If you don't want to use Java, the Karate extension for Visual Studio Code is recommended, and JavaScript, .NET, Ruby and Python programmers will feel right at home.
Both the official Visual Studio Code and IntelliJ plugins support step-through debugging of Karate tests.
Maven
All you need is available in the karate-core
artifact. You can run tests with this directly, but teams can choose the JUnit variant (shown below) that pulls in JUnit 5 and slightly improves the in-IDE experience.
<dependency>
<groupId>io.karatelabs</groupId>
<artifactId>karate-junit5</artifactId>
<version>1.5.0</version>
<scope>test</scope>
</dependency>
Gradle
Alternatively for Gradle:
testCompile 'io.karatelabs:karate-junit5:1.5.0'
Also refer to the wiki for using Karate with Gradle.
Karate Core "Fat JAR"
If you mix Karate into a Maven or Gradle project with many other dependendies, you may run into problems because of dependency conflicts. For example a lot of Java projects directly (or indirectly) depend on Netty or Thymeleaf or ANTLR, etc.
If you face issues such as "class not found", just pull in the karate-core
dependency, and use the all
classifier in your pom.xml
(or build.gradle
).
For example when using Maven:
<dependency>
<groupId>io.karatelabs</groupId>
<artifactId>karate-core</artifactId>
<version>${karate.version}</version>
<classifier>all</classifier>
<scope>test</scope>
</dependency>
Note that for very complicated projects you can consider using a Maven profile so that testing-related dependencies don't collide with your development-time dependencies. Of course it is an option to have Karate tests in a separate stand-alone maven project and folder, while still being in the same Git repository.
Quickstart
It may be easier for you to use the Karate Maven archetype to create a skeleton project with one command. You can then skip the next few sections, as the pom.xml
, recommended directory structure, sample test and JUnit 5 runners - will be created for you.
If you are behind a corporate proxy, or especially if your local Maven installation has been configured to point to a repository within your local network, the command below may not work. One workaround is to temporarily disable or rename your Maven
settings.xml
file, and try again.
You can replace the values of com.mycompany
and myproject
as per your needs.
mvn archetype:generate \
-DarchetypeGroupId=io.karatelabs \
-DarchetypeArtifactId=karate-archetype \
-DarchetypeVersion=1.5.0 \
-DgroupId=com.mycompany \
-DartifactId=myproject
This will create a folder called myproject
(or whatever you set the name to).
IDE Support
Refer to the wiki - IDE Support.
Folder Structure
A Karate test script has the file extension .feature
which is the standard followed by Cucumber. You are free to organize your files using regular Java package conventions.
The Maven tradition is to have non-Java source files in a separate src/test/resources
folder structure - but we recommend that you keep them side-by-side with your *.java
files. When you have a large and complex project, you will end up with a few data files (e.g. *.js
, *.json
, *.txt
) as well and it is much more convenient to see the *.java
and *.feature
files and all related artifacts in the same place.
This can be easily achieved with the following tweak to your maven <build>
section.
<build>
<testResources>
<testResource>
<directory>src/test/java</directory>
<excludes>
<exclude>**/*.java</exclude>
</excludes>
</testResource>
</testResources>
<plugins>
...
</plugins>
</build>
This is very common in the world of Maven users and keep in mind that these are tests and not production code.
Alternatively, if using Gradle then add the following sourceSets
definition
sourceSets {
test {
resources {
srcDir file('src/test/java')
exclude '**/*.java'
}
}
}
With the above in place, you don't have to keep switching between your src/test/java
and src/test/resources
folders, you can have all your test-code and artifacts under src/test/java
and everything will work as expected.
Once you get used to this, you may even start wondering why projects need a src/test/resources
folder at all !
Naming Conventions
Since these are tests and not production Java code, you don't need to be bound by the com.mycompany.foo.bar
convention and the un-necessary explosion of sub-folders that ensues. We suggest that you have a folder hierarchy only one or two levels deep - where the folder names clearly identify which 'resource', 'entity' or API is the web-service under test.
For example:
src/test/java
|
+-- karate-config.js
+-- logback-test.xml
+-- some-reusable.feature
+-- some-classpath-function.js
+-- some-classpath-payload.json
|
\-- animals
|
+-- AnimalsTest.java
|
+-- cats
| |
| +-- cats-post.feature
| +-- cats-get.feature
| +-- cat.json
| \-- CatsRunner.java
|
\-- dogs
|
+-- dog-crud.feature
+-- dog.json
+-- some-helper-function.js
\-- DogsRunner.java
Assuming you use JUnit, there are some good reasons for the recommended (best practice) naming convention and choice of file-placement shown above:
- Not using the
*Test.java
convention for the JUnit classes (e.g.CatsRunner.java
) in thecats
anddogs
folder ensures that these tests will not be picked up when invokingmvn test
(for the whole project) from the command line. But you can still invoke these tests from the IDE, which is convenient when in development mode. AnimalsTest.java
(the only file that follows the*Test.java
naming convention) acts as the 'test suite' for the entire project. By default, Karate will load all*.feature
files from sub-directories as well. But sincesome-reusable.feature
is aboveAnimalsTest.java
in the folder hierarchy, it will not be picked-up. Which is exactly what we want, becausesome-reusable.feature
is designed to be called only from one of the other test scripts (perhaps with some parameters being passed). You can also use tags to skip files.some-classpath-function.js
andsome-classpath-payload.json
are in the 'root' of the Java 'classpath' which means they can be easily read (and re-used) from any test-script by using theclasspath:
prefix, for e.g:read('classpath:some-classpath-function.js')
. Relative paths will also work.
For details on what actually goes into a script or *.feature
file, refer to the syntax guide.
JUnit 5
Karate supports JUnit 5 and the advantage is that you can have multiple methods in a test-class. Only 1 import
is needed, and instead of a class-level annotation, you use a nice DRY and fluent-api to express which tests and tags you want to use.
Note that the Java class does not need to be public
and even the test methods do not need to be public
- so tests end up being very concise.
Karate will traverse sub-directories and look for
*.feature
files. For example if you have the JUnit class in thecom.mycompany
package,*.feature
files incom.mycompany.foo
andcom.mycompany.bar
will also be run. This is one reason why you may want to prefer a 'flat' directory structure as explained above.
Here is an example:
package karate;
import com.intuit.karate.junit5.Karate;
class SampleTest {
@Karate.Test
Karate testSample() {
return Karate.run("sample").relativeTo(getClass());
}
@Karate.Test
Karate testTags() {
return Karate.run("tags").tags("@second").relativeTo(getClass());
}
@Karate.Test
Karate testSystemProperty() {
return Karate.run("classpath:karate/tags.feature")
.tags("@second")
.karateEnv("e2e")
.systemProperty("foo", "bar");
}
}
Note that more "builder" methods are available from the Runner.Builder
class such as reportDir()
etc.
You should be able to right-click and run a single method using your IDE - which should be sufficient when you are in development mode. But to be able to run JUnit 5 tests from the command-line, you need to ensure that the latest version of the maven-surefire-plugin is present in your project pom.xml
(within the <build>/<plugins>
section):
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-surefire-plugin</artifactId>
<version>2.22.2</version>
</plugin>
To run a single test method, for example the testTags()
in the example above, you can do this:
mvn test -Dtest=SampleTest#testTags
Also look at how to run tests via the command-line and the parallel runner.
JUnit HTML report
When you use the JUnit runner - after the execution of each feature, an HTML report is output to the target/karate-reports
folder and the full path will be printed to the console (see video).
html report: (paste into browser to view)
-----------------------------------------
file:///projects/myproject/target/karate-reports/mypackage.myfeature.html
You can easily select (double-click), copy and paste this file:
URL into your browser address bar. This report is useful for troubleshooting and debugging a test because all requests and responses are shown in-line with the steps, along with error messages and the output of print
statements. Just re-fresh your browser window if you re-run the test.
Dry Run
This will give you the usual HTML report showing what features will be run, including all steps shown (including comments) so that it can be reviewed. Of course the actual time-durations, and logs will be missing, and everything will pass.
The “dry run” report is useful to review the tag "coverage" of what will be run. For example you can get a nice feature “coverage” report, provided you have a rich set of tags. e.g. @smoke @module=one @module=two
etc.
The Runner.Builder
API has a dryRun()
method to switch this on. Note that this mode can be also triggered via the command-line by adding -D
or --dryrun
to the karate.options
.
Command Line
If you are using Karate via the VS Code Plugin or the stand-alone JAR, refer to the CLI usage guide.
Command Line - Maven
Normally in dev mode, you will use your IDE to run a *.feature
file directly or via the companion 'runner' JUnit Java class. When you have a 'runner' class in place, it would be possible to run it from the command-line as well.
Note that the mvn test
command only runs test classes that follow the *Test.java
naming convention by default. But you can choose a single test to run like this:
mvn test -Dtest=CatsRunner
karate.options
When your Java test "runner" is linked to multiple feature files, which will be the case when you use the recommended parallel runner, you can narrow down your scope to a single feature, scenario or directory via the command-line, useful in dev-mode. Note how even tags to exclude (or include) can be specified:
Note that any
Feature
orScenario
with the special@ignore
tag will be skipped by default.
mvn test "-Dkarate.options=--tags ~@skipme classpath:demo/cats/cats.feature" -Dtest=DemoTestParallel
Multiple feature files (or paths) can be specified, de-limited by the space character. They should be at the end of the karate.options
. To run only a single scenario, append the line number on which the scenario is defined, de-limited by :
.
mvn test "-Dkarate.options=PathToFeatureFiles/order.feature:12" -Dtest=DemoTestParallel
Since paths are expected at the end of the command-line options - if you want to only over-ride tags, use the =
sign to make argument values clear. For example:
mvn test -Dkarate.options='-t=@dev -t=@src' -Dtest=ExamplesTest
Command Line - Gradle
For Gradle, you must extend the test task to allow the karate.options
to be passed to the runtime (otherwise they get consumed by Gradle itself). To do that, add the following:
test {
// pull karate options into the runtime
systemProperty "karate.options", System.properties.getProperty("karate.options")
// pull karate env into the runtime
systemProperty "karate.env", System.properties.getProperty("karate.env")
// ensure tests are always run
outputs.upToDateWhen { false }
}
And then the above command in Gradle would look like:
./gradlew test --tests *CatsRunner
or
./gradlew test -Dtest.single=CatsRunner
Test Suites
The recommended way to define and run test-suites and reporting in Karate is to use the parallel runner, described in the next section. The approach in this section is more suited for troubleshooting in dev-mode, using your IDE.
One way to define 'test-suites' in Karate is to have a JUnit class at a level 'above' (in terms of folder hierarchy) all the *.feature
files in your project. So if you take the previous folder structure example, you can do this on the command-line:
mvn test "-Dkarate.options=--tags ~@skipme" -Dtest=AnimalsTest
Here, AnimalsTest
is the name of the Java class we designated to run the multiple *.feature
files that make up your test-suite. There is a neat way to tag your tests and the above example demonstrates how to run all tests except the ones tagged @skipme
.
Note that the special, built-in tag @ignore
will always be skipped by default, and you don't need to specify ~@ignore
anywhere.
You can 'lock down' the fact that you only want to execute the single JUnit class that functions as a test-suite - by using the following maven-surefire-plugin configuration:
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-surefire-plugin</artifactId>
<version>${maven.surefire.version}</version>
<configuration>
<includes>
<include>animals/AnimalsTest.java</include>
</includes>
<systemProperties>
<karate.options>--tags @smoke</karate.options>
</systemProperties>
</configuration>
</plugin>
Note how the karate.options
can be specified using the <systemProperties>
configuration.
For Gradle, you simply specify the test which is to be include
-d:
test {
include 'animals/AnimalsTest.java'
// pull karate options into the runtime
systemProperty "karate.options", System.properties.getProperty("karate.options")
// pull karate env into the runtime
systemProperty "karate.env", System.properties.getProperty("karate.env")
// ensure tests are always run
outputs.upToDateWhen { false }
}
The big drawback of the approach above is that you cannot run tests in parallel. The recommended approach for Karate reporting in a Continuous Integration set-up is described in the next section which can generate the JUnit XML format that most CI tools can consume. The Cucumber JSON format can be also emitted, which gives you plenty of options for generating pretty reports using third-party maven plugins.
And most importantly - you can run tests in parallel without having to depend on third-party hacks that introduce code-generation and config 'bloat' into your pom.xml
or build.gradle
.
Parallel Execution
Please note that some user analytics is tracked only when you view the built-in Karate HTML report.
Karate can run tests in parallel, and dramatically cut down execution time. This is a 'core' feature and does not depend on JUnit, Maven or Gradle.
For those running Karate in non-Java projects via the command-line, note that you can set the number of threads via
--threads
or-T
as explained here.
- You can easily "choose" features and tags to run and compose test-suites in a very flexible manner.
- You can use the returned
Results
object to check if any scenarios failed, and to even summarize the errors - JUnit XML reports can be generated in the "
reportDir
" path you specify, and you can easily configure your CI to look for these files after a build (for e.g. in**/*.xml
or**/karate-reports/*.xml
). Note that you have to call theoutputJunitXml(true)
method on theRunner
"builder". - Cucumber JSON reports can be generated, except that the extension will be
.json
instead of.xml
. Note that you have to call theoutputCucumberJson(true)
method on theRunner
"builder". - HTML reports can be disabled by calling
outputHtmlReport(false)
. - The
Runner.path()
"builder" method inkarate-core
is how you refer to the package you want to execute, and all feature files within sub-directories will be picked up Runner.path()
takes multiple string parameters, so you can refer to multiple packages or even individual*.feature
files and easily "compose" a test-suite- e.g.
Runner.path("classpath:animals", "classpath:some/other/package.feature")
- e.g.
- To choose tags, call the
tags()
API, note that by default, any*.feature
file tagged with the special (built-in) tag:@ignore
will be skipped. You can also specify tags on the command-line. Thetags()
method also takes multiple arguments, for e.g.- this is an "AND" operation:
tags("@customer", "@smoke")
- and this is an "OR" operation:
tags("@customer,@smoke")
- this is an "AND" operation:
- There is an optional
reportDir()
method if you want to customize the directory to which the HTML, XML and JSON files will be output, it defaults totarget/karate-reports
- If you want to dynamically and programmatically determine the tags and features to be included - the API also accepts
List<String>
as thepath()
andtags()
methods arguments parallel()
has to be the last method called, and you pass the number of parallel threads needed. It returns aResults
object that has all the information you need - such as the number of passed or failed tests.
JUnit 5 Parallel Execution
The example below assumes that JUnit 5 is available on the classpath, and uses the @Test
annotation and the assertEquals()
method.
But if you really want, you could use the
Runner
andResults
API directly in any Java class, and even a "main" method.
Use the karate-template
project if you want to get an example as part of a working, "skeleton" project.
import com.intuit.karate.Results;
import com.intuit.karate.Runner;
import static org.junit.jupiter.api.Assertions.*;
import org.junit.jupiter.api.Test;
class TestParallel {
@Test
void testParallel() {
Results results = Runner.path("classpath:animals").tags("~@skipme").parallel(5);
assertEquals(0, results.getFailCount(), results.getErrorMessages());
}
}
Parallel Stats
For convenience, some stats are logged to the console when execution completes, which should look something like this:
======================================================
elapsed: 2.35 | threads: 5 | thread time: 4.98
features: 54 | ignored: 25 | efficiency: 0.42
scenarios: 145 | passed: 145 | failed: 0
======================================================
The parallel runner will always run Feature
-s in parallel. Karate will also run Scenario
-s in parallel by default. So if you have a Feature
with multiple Scenario
-s in it - they will execute in parallel, and even each Examples
row in a Scenario Outline
will do so !
A karate-timeline.html
file will also be saved to the report output directory mentioned above (target/karate-reports
by default) - which is useful for visually verifying or troubleshooting the effectiveness of the test-run (see video).
@parallel=false
In rare cases you may want to suppress the default of Scenario
-s executing in parallel and the special tag
@parallel=false
can be used. If you place it above the Feature
keyword, it will apply to all Scenario
-s. And if you just want one or two Scenario
-s to NOT run in parallel, you can place this tag above only those Scenario
-s. See example.
Note that forcing Scenario
-s to run in a particular sequence is an anti-pattern, and should be avoided as far as possible.
Test Reports
As mentioned above, most CI tools would be able to process the JUnit XML output of the parallel runner and determine the status of the build as well as generate reports.
The Karate Demo has a working example of the recommended parallel-runner set up. It also details how a third-party library can be easily used to generate some very nice-looking reports, from the JSON output of the parallel runner.
For example, here below is an actual report generated by the cucumber-reporting open-source library.
Another example for a popular Maven reporting plugin that is compatible with Karate JSON is Cluecumber.
The demo also features code-coverage using Jacoco, and some tips for even non-Java back-ends. Some third-party report-server solutions integrate with Karate such as ReportPortal.io.
Logging
This is optional, and Karate will work without the logging config in place, but the default console logging may be too verbose for your needs.
Karate uses LOGBack which looks for a file called logback-test.xml
on the 'classpath'.
In rare cases, e.g. if you are using Karate to create a Java application, LOGBack will look for
logback.xml
Here is a sample logback-test.xml
for you to get started.
<?xml version="1.0" encoding="UTF-8"?>
<configuration>
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
<encoder>
<pattern>%d{HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern>
</encoder>
</appender>
<appender name="FILE" class="ch.qos.logback.core.FileAppender">
<file>target/karate.log</file>
<encoder>
<pattern>%d{HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern>
</encoder>
</appender>
<logger name="com.intuit.karate" level="DEBUG"/>
<root level="info">
<appender-ref ref="STDOUT" />
<appender-ref ref="FILE" />
</root>
</configuration>
You can change the com.intuit.karate
logger level to INFO
to reduce the amount of logging. When the level is DEBUG
the entire request and response payloads are logged. If you use the above config, logs will be captured in target/karate.log
.
If you want to keep the level as DEBUG
(for HTML reports) but suppress logging to the console, you can comment out the STDOUT
"root" appender-ref
:
<root level="warn">
<!-- <appender-ref ref="STDOUT" /> -->
<appender-ref ref="FILE" />
</root>
Or another option is to use a ThresholdFilter
, so you still see critical logs on the console:
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
<filter class="ch.qos.logback.classic.filter.ThresholdFilter">
<level>WARN</level>
</filter>
<encoder>
<pattern>%d{HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern>
</encoder>
</appender>
If you want to exclude the logs from your CI/CD pipeline but keep them in the execution of your users in their locals you can configure your logback using Janino. In such cases it might be desirable to have your tests using karate.logger.debug('your additional info')
instead of the print
keyword so you can keep logs in your pipeline in INFO.
For suppressing sensitive information such as secrets and passwords from the log and reports, see Log Masking and Report Verbosity.
Configuration
You can skip this section and jump straight to the Syntax Guide if you are in a hurry to get started with Karate. Things will work even if the
karate-config.js
file is not present.
Classpath
The 'classpath' is a Java concept and is where some configuration files such as the one for logging are expected to be by default. If you use the Maven <test-resources>
tweak described earlier (recommended), the 'root' of the classpath will be in the src/test/java
folder, or else would be src/test/resources
.
karate-config.js
The only 'rule' is that on start-up Karate expects a file called karate-config.js
to exist on the 'classpath' and contain a JavaScript function. The function is expected to return a JSON object and all keys and values in that JSON object will be made available as script variables.
And that's all there is to Karate configuration ! You can easily get the value of the current 'environment' or 'profile', and then set up 'global' variables using some simple JavaScript. Here is an example:
function fn() {
var env = karate.env; // get java system property 'karate.env'
karate.log('karate.env system property was:', env);
if (!env) {
env = 'dev'; // a custom 'intelligent' default
}
var config = { // base config JSON
appId: 'my.app.id',
appSecret: 'my.secret',
someUrlBase: 'https://some-host.com/v1/auth/',
anotherUrlBase: 'https://another-host.com/v1/'
};
if (env == 'stage') {
// over-ride only those that need to be
config.someUrlBase = 'https://stage-host/v1/auth';
} else if (env == 'e2e') {
config.someUrlBase = 'https://e2e-host/v1/auth';
}
// don't waste time waiting for a connection or if servers don't respond within 5 seconds
karate.configure('connectTimeout', 5000);
karate.configure('readTimeout', 5000);
return config;
}
Here above, you see the
karate.log()
,karate.env
andkarate.configure()
"helpers" being used. Note that thekarate-config.js
is re-processed for everyScenario
and in rare cases, you may want to initialize (e.g. auth tokens) only once for all of your tests. This can be achieved usingkarate.callSingle()
.
A common requirement is to pass dynamic parameter values via the command line, and you can use the karate.properties['some.name']
syntax for getting a system property passed via JVM options in the form -Dsome.name=foo
. Refer to the section on dynamic port numbers for an example.
You can even retrieve operating-system environment variables via Java interop as follows:
var systemPath = java.lang.System.getenv('PATH');
This decision to use JavaScript for config is influenced by years of experience with the set-up of complicated test-suites and fighting with Maven profiles, Maven resource-filtering and the XML-soup that somehow gets summoned by the Maven AntRun plugin.
Karate's approach frees you from Maven, is far more expressive, allows you to eyeball all environments in one place, and is still a plain-text file. If you want, you could even create nested chunks of JSON that 'name-space' your config variables.
One way to appreciate Karate's approach is to think over what it takes to add a new environment-dependent variable (e.g. a password) into a test. In typical frameworks it could mean changing multiple properties files, maven profiles and placeholders, and maybe even threading the value via a dependency-injection framework - before you can even access the value within your test.
This approach is indeed slightly more complicated than traditional *.properties
files - but you need this complexity. Keep in mind that these are tests (not production code) and this config is going to be maintained more by the dev or QE team instead of the 'ops' or operations team.
And there is no more worrying about Maven profiles and whether the 'right' *.properties
file has been copied to the proper place.
Switching the Environment
There is only one thing you need to do to switch the environment - which is to set a Java system property.
By default, the value of
karate.env
when you access it withinkarate-config.js
- would benull
.
The recipe for doing this when running Maven from the command line is:
mvn test -DargLine="-Dkarate.env=e2e"
Or in Gradle:
./gradlew test -Dkarate.env=e2e
You can refer to the documentation of the
Maven Surefire Plugin for alternate ways of achieving this, but the argLine
approach is the simplest and should be more than sufficient for your Continuous Integration or test-automation needs.
Here's a reminder that running any single JUnit test via Maven can be done by:
mvn test -Dtest=CatsRunner
Where CatsRunner
is the JUnit class name (in any package) you wish to run.
Karate is flexible, you can easily over-write config variables within the Java or JUnit "runner" - which is very convenient when in dev-mode or rapid-prototyping.
System.setProperty("karate.env", "pre-prod");
But the recommended way is to use the karateEnv(name, value)
or systemProperty(name, value)
API on the parallel-runner.
For advanced users, note that tags and the karate.env
environment-switch can be "linked" using the special environment tags.
Environment Specific Config
When your project gets complex, you can have separate karate-config-<env>.js
files that will be processed for that specific value of karate.env
. This is especially useful when you want to maintain passwords, secrets or even URL-s specific for your local dev environment.
Make sure you configure your source code management system (e.g. Git) to ignore
karate-config-*.js
if needed.
There should always be
karate-config.js
in the "root" folder, even if you don't have any "common" config. In such cases, the function can do nothing or return an empty JSON. Learn more.
Here are the rules Karate uses on bootstrap (before every Scenario
or Examples
row in a Scenario Outline
):
- if the system-property
karate.config.dir
was set, Karate will look in this folder forkarate-config.js
- and if found, will process it - else if
karate-config.js
was not found in the above location (orkarate.config.dir
was not set),classpath:karate-config.js
would be processed (this is the default / common case) - if the
karate.env
system property was set- if
karate.config.dir
was set, Karate will also look forfile:<karate.config.dir>/karate-config-<env>.js
- else (if the
karate.config.dir
was not set), Karate will look forclasspath:karate-config-<env>.js
- if
- if the over-ride
karate-config-<env>.js
exists, it will be processed, and the configuration (JSON entries) returned by this function will over-ride any set bykarate-config.js
Refer to the karate demo for an example.
karate-base.js
Advanced users who build frameworks on top of Karate have the option to supply a karate-base.js
file that Karate will look for on the classpath:
. This is useful when you ship a JAR file containing re-usable features and JavaScript / Java code and want to 'default' a few variables that teams can 'inherit' from. So an additional rule in the above flow of 'rules' (before the first step) is as follows:
- if
classpath:karate-base.js
exists - Karate will process this as a configuration source before anything else
Syntax Guide
Script Structure
Karate scripts are technically in 'Gherkin' format - but all you need to grok as someone who needs to test web-services are the three sections: Feature
, Background
and Scenario
. There can be multiple Scenario-s in a *.feature
file, and at least one should be present. The Background
is optional.
Variables set using
def
in theBackground
will be re-set before everyScenario
. If you are looking for a way to do something only once perFeature
, take a look atcallonce
. On the other hand, if you are expecting a variable in theBackground
to be modified by oneScenario
so that later ones can see the updated value - that is not how you should think of them, and you should combine your 'flow' into one scenario. Keep in mind that you should be able to comment-out aScenario
or skip some viatags
without impacting any others. Note that the parallel runner will runScenario
-s in parallel, which means they can run in any order. If you are looking for ways to do something only once per feature or across all your tests, see Hooks.
Lines that start with a #
are comments.
Feature: brief description of what is being tested
more lines of description if needed.
Background:
# this section is optional !
# steps here are executed before each Scenario in this file
# variables defined here will be 'global' to all scenarios
# and will be re-initialized before every scenario
Scenario: brief description of this scenario
# steps for this scenario
Scenario: a different scenario
# steps for this other scenario
There is also a variant of
Scenario
calledScenario Outline
along withExamples
, useful for data-driven tests.
Given-When-Then
The business of web-services testing requires access to low-level aspects such as HTTP headers, URL-paths, query-parameters, complex JSON or XML payloads and response-codes. And Karate gives you control over these aspects with the small set of keywords focused on HTTP such as url
, path
, param
, etc.
Karate does not attempt to have tests be in "natural language" like how Cucumber tests are traditionally expected to be. That said, the syntax is very concise, and the convention of every step having to start with either Given
, And
, When
or Then
, makes things very readable. You end up with a decent approximation of BDD even though web-services by nature are "headless", without a UI, and not really human-friendly.
Cucumber vs Karate
Karate was based on Cucumber-JVM until version 0.8.0 but the parser and engine were re-written from scratch in 0.9.0 onwards. So we use the same Gherkin syntax - but the similarity ends there.
If you are familiar with Cucumber (JVM), you may be wondering if you need to write step-definitions. The answer is no.
Karate's approach is that all the step-definitions you need in order to work with HTTP, JSON and XML have been already implemented. And since you can easily extend Karate using JavaScript, there is no need to compile Java code any more.
The following table summarizes some key differences between Cucumber and Karate.
:white_small_square: | Cucumber | Karate |
---|---|---|
Step Definitions Built-In | No. You need to keep implementing them as your functionality grows. This can get very tedious, especially since for dependency-injection, you are on your own. | :white_check_mark: Yes. No extra Java code needed. |
Single Layer of Code To Maintain | No. There are 2 Layers. The Gherkin spec or *.feature files make up one layer, and you will also have the corresponding Java step-definitions. |
:white_check_mark: Yes. Only 1 layer of Karate-script (based on Gherkin). |
Readable Specification | Yes. Cucumber will read like natural language if you implement the step-definitions right. | :x: No. Although Karate is simple, and a true DSL, it is ultimately a mini-programming language. But it is perfect for testing web-services at the level of HTTP requests and responses. |
Re-Use Feature Files | No. Cucumber does not support being able to call (and thus re-use) other *.feature files from a test-script. |
:white_check_mark: Yes. |
Dynamic Data-Driven Testing | No. Cucumber's Scenario Outline expects the Examples to contain a fixed set of rows. |
:white_check_mark: Yes. Karate's support for calling other *.feature files allows you to use a JSON array as the data-source and you can use JSON or even CSV directly in a data-driven Scenario Outline . |
Parallel Execution | No. There are some challenges (especially with reporting) and you can find various discussions and third-party projects on the web that attempt to close this gap | :white_check_mark: Yes. Karate runs even Scenario -s in parallel, not just Feature -s. |
Run 'Set-Up' Routines Only Once | No. Cucumber has a limitation where Background steps are re-run for every Scenario and worse - even for every Examples row within a Scenario Outline . This has been a highly-requested open issue for a long time. |
:white_check_mark: Yes. |
Embedded JavaScript Engine | No. And you have to roll your own approach to environment-specific configuration and worry about dependency-injection. | :white_check_mark: Yes. Easily define all environments in a single file and share variables across all scenarios. Full script-ability via JS or Java interop. |
One nice thing about the design of the Gherkin syntax is that script-steps are treated the same no matter whether they start with the keyword Given
, And
, When
or Then
. What this means is that you are free to use whatever makes sense for you. You could even have all the steps start with When
and Karate won't care.
In fact Gherkin supports the catch-all symbol '*
' - instead of forcing you to use Given
, When
or Then
. This is perfect for those cases where it really doesn't make sense - for example the Background
section or when you use the def
or set
syntax. When eyeballing a test-script, think of the *
as a 'bullet-point'.
You can read more about the Given-When-Then convention at the Cucumber reference documentation. Since Karate uses Gherkin, you can also employ data-driven techniques such as expressing data-tables in test scripts. Another good thing that Karate inherits is the nice IDE support for Cucumber that IntelliJ and Eclipse have. So you can do things like right-click and run a *.feature
file (or scenario) without needing to use a JUnit runner.
For a detailed discussion on BDD and how Karate relates to Cucumber, please refer to this blog-post: Yes, Karate is not true BDD. It is the opinion of the author of Karate that true BDD is un-necessary over-kill for API testing, and this is explained more in this answer on Stack Overflow.
With the formalities out of the way, let's dive straight into the syntax.
Setting and Using Variables
def
Set a named variable
# assigning a string value:
Given def myVar = 'world'
# using a variable
Then print myVar
# assigning a number (you can use '*' instead of Given / When / Then)
* def myNum = 5
Note that def
will over-write any variable that was using the same name earlier. Keep in mind that the start-up configuration routine could have already initialized some variables before the script even started. For details of scope and visibility of variables, see Script Structure.
Note that
url
andrequest
are not allowed as variable names. This is just to reduce confusion for users new to Karate who tend to do* def request = {}
and expect therequest
body or similarly, theurl
to be set.
The examples above are simple, but a variety of expression 'shapes' are supported on the right hand side of the =
symbol. The section on Karate Expressions goes into the details.
assert
Assert if an expression evaluates to true
Once defined, you can refer to a variable by name. Expressions are evaluated using the embedded JavaScript engine. The assert keyword can be used to assert that an expression returns a boolean value.
Given def color = 'red '
And def num = 5
Then assert color + num == 'red 5'
Everything to the right of the assert
keyword will be evaluated as a single expression.
Something worth mentioning here is that you would hardly need to use assert
in your test scripts. Instead you would typically use the match
keyword, that is designed for performing powerful assertions against JSON and XML response payloads.
print
Log to the console
You can use print
to log variables to the console in the middle of a script. For convenience, you can have multiple expressions separated by commas, so this is the recommended pattern:
* print 'the value of a is:', a
Similar to assert
, the expressions on the right-hand-side of a print
have to be valid JavaScript. JsonPath and Karate expressions are not supported.
If you use commas (instead of concatenating strings using +
), Karate will 'pretty-print' variables, which is what you typically want when dealing with JSON or XML.
* def myJson = { foo: 'bar', baz: [1, 2, 3] }
* print 'the value of myJson is:', myJson
Which results in the following output:
20:29:11.290 [main] INFO com.intuit.karate - [print] the value of myJson is: {
"foo": "bar",
"baz": [
1,
2,
3
]
}
Since XML is represented internally as a JSON-like or map-like object, if you perform string concatenation when printing, you will not see XML - which can be confusing at first. Use the comma-delimited form (see above) or the JS helper (see below).
The built-in karate
object is explained in detail later, but for now, note that this is also injected into print
(and even assert
) statements, and it has a helpful pretty
method, that takes a JSON argument and a prettyXml
method that deals with XML. So you could have also done something like:
* print 'the value of myJson is:\n' + karate.pretty(myJson)
Also refer to the configure
keyword on how to switch on pretty-printing of all HTTP requests and responses.
'Native' data types
Native data types mean that you can insert them into a script without having to worry about enclosing them in strings and then having to 'escape' double-quotes all over the place. They seamlessly fit 'in-line' within your test script.
JSON
Note that the parser is 'lenient' so that you don't have to enclose all keys in double-quotes.
* def cat = { name: 'Billie', scores: [2, 5] }
* assert cat.scores[1] == 5
Some characters such as the hyphen
-
are not permitted in 'lenient' JSON keys (because they are interpreted by the JS engine as a 'minus sign'). In such cases, you have to use string quotes:{ 'Content-Type': 'application/json' }
When asserting for expected values in JSON or XML, always prefer using match
instead of assert
. Match failure messages are much more descriptive and useful, and you get the power of embedded expressions and fuzzy matching.
* def cats = [{ name: 'Billie' }, { name: 'Bob' }]
* match cats[1] == { name: 'Bob' }
Karate's native support for JSON means that you can assign parts of a JSON instance into another variable, which is useful when dealing with complex response
payloads.
* def first = cats[0]
* match first == { name: 'Billie' }
For manipulating or updating JSON (or XML) using path expressions, refer to the set
keyword.
XML
Given def cat = <cat><name>Billie</name><scores><score>2</score><score>5</score></scores></cat>
# sadly, xpath list indexes start from 1
Then match cat/cat/scores/score[2] == '5'
# but karate allows you to traverse xml like json !!
Then match cat.cat.scores.score[1] == 5
Embedded Expressions
Karate has a very useful payload 'templating' approach. Variables can be referred to within JSON, for example:
Given def user = { name: 'john', age: 21 }
And def lang = 'en'
When def session = { name: '#(user.name)', locale: '#(lang)', sessionUser: '#(user)' }
So the rule is - if a string value within a JSON (or XML) object declaration is enclosed between #(
and )
- it will be evaluated as a JavaScript expression. And any variables which are alive in the context can be used in this expression. Here's how it works for XML:
Given def user = <user><name>john</name></user>
And def lang = 'en'
When def session = <session><locale>#(lang)</locale><sessionUser>#(user)</sessionUser></session>
This comes in useful in some cases - and avoids needing to use the set
keyword or JavaScript functions to manipulate JSON. So you get the best of both worlds: the elegance of JSON to express complex nested data - while at the same time being able to dynamically plug values (that could even be other JSON or XML 'trees') into a 'template'.
Note that embedded expressions will be evaluated even when you read()
from a JSON or XML file. This is super-useful for re-use and data-driven tests.
A few special built-in variables such as $
(which is a reference to the JSON root) - can be mixed into JSON embedded expressions.
A special case of embedded expressions can remove a JSON key (or XML element / attribute) if the expression evaluates to null
.
Rules for Embedded Expressions
- They work only within JSON or XML
- and when on the Right Hand Side of a
- and when you
read()
a JSON or XML file - the expression has to start with
#(
and end with)
Because of the last rule above, note that string-concatenation may not work quite the way you expect:
# wrong !
* def foo = { bar: 'hello #(name)' }
# right !
* def foo = { bar: '#("hello " + name)' }
Observe how you can achieve string concatenation if you really want, because any valid JavaScript expression can be stuffed within an embedded expression. You could always do this in two steps:
* def temp = 'hello ' + name
* def foo = { bar: '#(temp)' }
As a convenience, embedded expressions are supported on the Right Hand Side of a match
statement even for "quoted string" literals:
* def foo = 'a1'
* match foo == '#("a" + 1)'
And do note that in Karate 1.0 onwards, ES6 string-interpolation within "backticks" is supported:
* param filter = `ORDER_DATE:"${todaysDate}"`
Enclosed JavaScript
An alternative to embedded expressions (for JSON only) is to enclose the entire payload within parentheses - which tells Karate to evaluate it as pure JavaScript. This can be a lot simpler than embedded expressions in many cases, and JavaScript programmers will feel right at home.
The example below shows the difference between embedded expressions and enclosed JavaScript:
When def user = { name: 'john', age: 21 }
And def lang = 'en'
* def embedded = { name: '#(user.name)', locale: '#(lang)', sessionUser: '#(user)' }
* def enclosed = ({ name: user.name, locale: lang, sessionUser: user })
* match embedded == enclosed
So how would you choose between the two approaches to create JSON ? Embedded expressions are useful when you have complex JSON
read
from files, because you can auto-replace (or even remove) data-elements with values dynamically evaluated from variables. And the JSON will still be 'well-formed', and editable in your IDE or text-editor. Embedded expressions also make more sense in validation and schema-like short-cut situations. It can also be argued that the#
symbol is easy to spot when eyeballing your test scripts - which makes things more readable and clear.
Multi-Line Expressions
The keywords def
, set
, match
, request
and eval
take multi-line input as the last argument. This is useful when you want to express a one-off lengthy snippet of text in-line, without having to split it out into a separate file. Note how triple-quotes ("""
) are used to enclose content. Here are some examples:
# instead of:
* def cat = <cat><name>Billie</name><scores><score>2</score><score>5</score></scores></cat>
# this is more readable:
* def cat =
"""
<cat>
<name>Billie</name>
<scores>
<score>2</score>
<score>5</score>
</scores>
</cat>
"""
# example of a request payload in-line
Given request
"""
<?xml version='1.0' encoding='UTF-8'?>
<S:Envelope xmlns:S="http://schemas.xmlsoap.org/soap/envelope/">
<S:Body>
<ns2:QueryUsageBalance xmlns:ns2="http://www.mycompany.com/usage/V1">
<ns2:UsageBalance>
<ns2:LicenseId>12341234</ns2:LicenseId>
</ns2:UsageBalance>
</ns2:QueryUsageBalance>
</S:Body>
</S:Envelope>
"""
# example of a payload assertion in-line
Then match response ==
"""
{ id: { domain: "DOM", type: "entityId", value: "#ignore" },
created: { on: "#ignore" },
lastUpdated: { on: "#ignore" },
entityState: "ACTIVE"
}
"""
table
A simple way to create JSON Arrays
Now that we have seen how JSON is a 'native' data type that Karate understands, there is a very nice way to create JSON using the support for expressing data-tables.
* table cats
| name | age |
| 'Bob' | 2 |
| 'Wild' | 4 |
| 'Nyan' | 3 |
* match cats == [{name: 'Bob', age: 2}, {name: 'Wild', age: 4}, {name: 'Nyan', age: 3}]
The match
keyword is explained later, but it should be clear right away how convenient the table
keyword is. JSON can be combined with the ability to call other *.feature
files to achieve dynamic data-driven testing in Karate.
Notice that in the above example, string values within the table need to be enclosed in quotes. Otherwise they would be evaluated as expressions - which does come in useful for some dynamic data-driven situations:
* def one = 'hello'
* def two = { baz: 'world' }
* table json
| foo | bar |
| one | { baz: 1 } |
| two.baz | ['baz', 'ban'] |
* match json == [{ foo: 'hello', bar: { baz: 1 } }, { foo: 'world', bar: ['baz', 'ban'] }]
Yes, you can even nest chunks of JSON in tables, and things work as you would expect.
Empty cells or expressions that evaluate to null
will result in the key being omitted from the JSON. To force a null
value, wrap it in parentheses:
* def one = { baz: null }
* table json
| foo | bar |
| 'hello' | |
| one.baz | (null) |
| 'world' | null |
* match json == [{ foo: 'hello' }, { bar: null }, { foo: 'world' }]
An alternate way to create data is using the set
multiple syntax. It is actually a 'transpose' of the table
approach, and can be very convenient when there are a large number of keys per row or if the nesting is complex. Here is an example of what is possible:
* set search
| path | 0 | 1 | 2 |
| name.first | 'John' | 'Jane' | |
| name.last | 'Smith' | 'Doe' | 'Waldo' |
| age | 20 | | |
* match search[0] == { name: { first: 'John', last: 'Smith' }, age: 20 }
* match search[1] == { name: { first: 'Jane', last: 'Doe' } }
* match search[2] == { name: { last: 'Waldo' } }
text
Don't parse, treat as raw text
Not something you would commonly use, but in some cases you need to disable Karate's default behavior of attempting to parse anything that looks like JSON (or XML) when using multi-line / string expressions. This is especially relevant when manipulating GraphQL queries - because although they look suspiciously like JSON, they are not, and tend to confuse Karate's internals. And as shown in the example below, having text 'in-line' is useful especially when you use the Scenario Outline:
and Examples:
for data-driven tests involving place-holder substitutions in strings.
Scenario Outline:
# note the 'text' keyword instead of 'def'
* text query =
"""
{
hero(name: "<name>") {
height
mass
}
}
"""
Given path 'graphql'
And request { query: '#(query)' }
And header Accept = 'application/json'
When method post
Then status 200
Examples:
| name |
| John |
| Smith |
Note that if you did not need to inject Examples:
into 'placeholders' enclosed within <
and >
, reading from a file with the extension *.txt
may have been sufficient.
For placeholder-substitution, the replace
keyword can be used instead, but with the advantage that the text can be read from a file or dynamically created.
Karate is a great fit for testing GraphQL because of how easy it is to deal with dynamic and deeply nested JSON responses. Refer to this example for more details: graphql.feature
.
replace
Text Placeholder Replacement
Modifying existing JSON and XML is natively supported by Karate via the
set
keyword, andreplace
is primarily intended for dealing with raw strings. But when you deal with complex, nested JSON (or XML) - it may be easier in some cases to usereplace
, especially when you want to substitute multiple placeholders with one value, and when you don't need array manipulation. Sincereplace
auto-converts the result to a string, make sure you perform type conversion back to JSON (or XML) if applicable.
Karate provides an elegant 'native-like' experience for placeholder substitution within strings or text content. This is useful in any situation where you need to concatenate dynamic string fragments to form content such as GraphQL or SQL.
The placeholder format defaults to angle-brackets, for example: <replaceMe>
. Here is how to replace one placeholder at a time:
* def text = 'hello <foo> world'
* replace text.foo = 'bar'
* match text == 'hello bar world'
Karate makes it really easy to substitute multiple placeholders in a single, readable step as follows:
* def text = 'hello <one> world <two> bye'
* replace text
| token | value |
| one | 'cruel' |
| two | 'good' |
* match text == 'hello cruel world good bye'
Note how strings have to be enclosed in quotes. This is so that you can mix expressions into text replacements as shown below. This example also shows how you can use a custom placeholder format instead of the default:
* def text = 'hello <one> world ${two} bye'
* def first = 'cruel'
* def json = { second: 'good' }
* replace text
| token | value |
| one | first |
| ${two} | json.second |
* match text == 'hello cruel world good bye'
Refer to this file for a detailed example: replace.feature
YAML Files
For those who may prefer YAML as a simpler way to represent data, Karate allows you to read YAML content from a file - and it will be auto-converted into JSON.
# yaml from a file (the extension matters), and the data-type of 'bar' would be JSON
* def bar = read('data.yaml')
yaml
A very rare need is to be able to convert a string which happens to be in YAML form into JSON, and this can be done via the yaml
type cast keyword. For example - if a response data element or downloaded file is YAML and you need to use the data in subsequent steps. Also see type conversion.
* text foo =
"""
name: John
input:
id: 1
subType:
name: Smith
deleted: false
"""
# yaml to json type conversion
* yaml foo = foo
* match foo ==
"""
{
name: 'John',
input: {
id: 1,
subType: { name: 'Smith', deleted: false }
}
}
"""
CSV Files
Karate can read *.csv
files and will auto-convert them to JSON. A header row is always expected. See the section on reading files - and also this example dynamic-csv.feature
, which shows off the convenience of dynamic Scenario Outline
-s.
In rare cases you may want to use a csv-file as-is and not auto-convert it to JSON. A good example is when you want to use a CSV file as the request-body for a file-upload. You could get by by renaming the file-extension to say *.txt
but an alternative is to use the karate.readAsString()
API.
csv
Just like yaml
, you may occasionally need to convert a string which happens to be in CSV form into JSON, and this can be done via the csv
keyword.
* text foo =
"""
name,type
Billie,LOL
Bob,Wild
"""
* csv bar = foo
* match bar == [{ name: 'Billie', type: 'LOL' }, { name: 'Bob', type: 'Wild' }]
JavaScript Functions
JavaScript Functions are also 'native'. And yes, functions can take arguments.
Standard JavaScript syntax rules apply, but the right-hand-side should begin with the
function
keyword if declared in-line. When using stand-alone*.js
files, you can have a comment before thefunction
keyword, and you can usefn
as the function name, so that your IDE does not complain about JavaScript syntax errors, e.g.function fn(x){ return x + 1 }
* def greeter = function(title, name) { return 'hello ' + title + ' ' + name }
* assert greeter('Mr.', 'Bob') == 'hello Mr. Bob'
When JavaScript executes in Karate, the built-in
karate
object provides some commonly used utility functions. And with Karate expressions, you can "dive into" JavaScript without needing to define a function - and conditional logic is a good example.
Java Interop
For more complex functions you are better off using the multi-line 'doc-string' approach. This example actually calls into existing Java code, and being able to do this opens up a whole lot of possibilities. The JavaScript interpreter will try to convert types across Java and JavaScript as smartly as possible. For e.g. JSON objects become Java Map
-s, JSON arrays become Java List
-s, and Java Bean properties are accessible (and update-able) using 'dot notation' e.g. 'object.name
'
* def dateStringToLong =
"""
function(s) {
var SimpleDateFormat = Java.type('java.text.SimpleDateFormat');
var sdf = new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ss.SSSZ");
return sdf.parse(s).time; // '.getTime()' would also have worked instead of '.time'
}
"""
* assert dateStringToLong("2016-12-24T03:39:21.081+0000") == 1482550761081
More examples of Java interop and how to invoke custom code can be found in the section on Calling Java.
The call
keyword provides an alternate way of calling JavaScript functions that have only one argument. The argument can be provided after the function name, without parentheses, which makes things slightly more readable (and less cluttered) especially when the solitary argument is JSON.
* def timeLong = call dateStringToLong '2016-12-24T03:39:21.081+0000'
* assert timeLong == 1482550761081
# a better example, with a JSON argument
* def greeter = function(name){ return 'Hello ' + name.first + ' ' + name.last + '!' }
* def greeting = call greeter { first: 'John', last: 'Smith' }
Reading Files
Karate makes re-use of payload data, utility-functions and even other test-scripts as easy as possible. Teams typically define complicated JSON (or XML) payloads in a file and then re-use this in multiple scripts. Keywords such as set
and remove
allow you to to 'tweak' payload-data to fit the scenario under test. You can imagine how this greatly simplifies setting up tests for boundary conditions. And such re-use makes it easier to re-factor tests when needed, which is great for maintainability.
Note that the
set
(multiple) keyword can build complex, nested JSON (or XML) from scratch in a data-driven manner, and you may not even need to read from files for many situations. Test data can be within the main flow itself, which makes scripts highly readable.
Reading files is achieved using the built-in JavaScript function called read()
. By default, the file is expected to be in the same folder (package) and side-by-side with the *.feature
file. But you can prefix the name with classpath:
in which case the 'root' folder would be src/test/java
(assuming you are using the recommended folder structure).
Prefer classpath:
when a file is expected to be heavily re-used all across your project. And yes, relative paths will work.
# json
* def someJson = read('some-json.json')
* def moreJson = read('classpath:more-json.json')
# xml
* def someXml = read('../common/my-xml.xml')
# import yaml (will be converted to json)
* def jsonFromYaml = read('some-data.yaml')
# csv (will be converted to json)
* def jsonFromCsv = read('some-data.csv')
# string
* def someString = read('classpath:messages.txt')
# javascript (will be evaluated)
* def someValue = read('some-js-code.js')
# if the js file evaluates to a function, it can be re-used later using the 'call' keyword (or invoked just like normal js)
* def someFunction = read('classpath:some-reusable-code.js')
* def someCallResult = call someFunction
* def sameCallResult = someFunction()
# the following short-cut is also allowed
* def someCallResult = call read('some-js-code.js')
You can also re-use other *.feature
files from test-scripts:
# perfect for all those common authentication or 'set up' flows
* def result = call read('classpath:some-reusable-steps.feature')
When a called feature depends on some side-by-side resources such as JSON or JS files, you can use the this:
prefix to ensure that relative paths work correctly - because by default Karate calculates relative paths from the "root" feature or the top-most "caller".
* def data = read('this:payload.json')
If a file does not end in .json
, .xml
, .yaml
, .js
, .csv
or .txt
, it is treated as a stream - which is typically what you would need for multipart
file uploads.
* def someStream = read('some-pdf.pdf')
The
.graphql
and.gql
extensions are also recognized (for GraphQL) but are handled the same way as.txt
and treated as a string.
For JSON and XML files, Karate will evaluate any embedded expressions on load. This enables more concise tests, and the file can be re-usable in multiple, data-driven tests.
Since it is internally implemented as a JavaScript function, you can mix calls to read()
freely wherever JavaScript expressions are allowed:
* def someBigString = read('first.txt') + read('second.txt')
Tip: you can even use JS expressions to dynamically choose a file based on some condition:
* def someConfig = read('my-config-' + someVariable + '.json')
. Refer to conditional logic for more ideas.
And a very common need would be to use a file as the request
body:
Given request read('some-big-payload.json')
Or in a match
:
And match response == read('expected-response-payload.json')
The rarely used file:
prefix is also supported. You could use it for 'hard-coded' absolute paths in dev mode, but is obviously not recommended for CI test-suites. A good example of where you may need this is if you programmatically write a file to the target
folder, and then you can read it like this:
* def payload = read('file:target/large.xml')
Path Prefixes
To summarize the possible prefixes:
Prefix | Description |
---|---|
classpath: |
relative to the classpath, recommended for re-usable features |
file: |
do not use this unless you know what you are doing, see above |
this: |
when in a called feature, ensure that files are resolved relative to the current feature file |
Take a look at the Karate Demos for real-life examples of how you can use files for validating HTTP responses, like this one: read-files.feature
.
Read File As String
In some rare cases where you don't want to auto-convert JSON, XML, YAML or CSV, and just get the raw string content (without having to re-name the file to end with .txt
) - you can use the karate.readAsString()
API. Here is an example of using a CSV file as the request-body:
Given path 'upload'
And header Content-Type = 'text/csv'
And request karate.readAsString('classpath:my.csv')
When method post
Then status 202
Compare Image
Karate provides a flexible way to compare two images to determine if they are the same or similar. This is especially useful when capturing screenshots during tests and comparing against baseline images that are known to be correct.
A stand-alone example can be found here:
examples/image-comparison
along with a video explanation.
Below is a simple example that will compare a baseline
image to a more recent latest
image. An image comparison UI will also be embedded into the Karate HTML report with detailed information about any differences between the two images.
* compareImage { baseline: 'screenshots/login.png', latest: '/tmp/login.png' }
You can also compare images using Karate path prefixes (e.g. classpath:
, this:
, file:
) or byte arrays:
* def latestImgBytes = karate.readAsBytes('login.png')
* compareImage { baseline: 'classpath:screenshots/login.png', latest: '#(latestImgBytes)' }
You may configure the following image comparison options using the configure
action:
* configure imageComparison = { /* image comparison options ... */ }
Image comparison configuration options:
Key | Type | Default | Description |
---|---|---|---|
allowScaling |
boolean | false |
When true we will scale latest images to match the dimensions of the baseline when they are not equal |
engine |
string | 'resemble' | Comparison engine(s) to use. Valid options are resemble and ssim separated by either , or | |
failureThreshold |
number | 0.0 |
Precentage of latest image pixels allowed to differ from baseline before we consider the comparison as failed |
mismatchShouldPass |
boolean | false |
When true all image comparisons will pass (even when difference is >= failureThreshold ). Note: failures will result in image comparison UI always being embedded in Karate HTML reports regardless of hideUiOnSuccess setting. |
onShowRebase |
string (js) | null |
Function to be called when displaying image comparison rebase in Karate HTML reports (e.g. to customize rebase filename and/or output) |
onShowConfig |
string (js) | null |
Function to be called when displaying image comparison configuration in Karate HTML reports (e.g. to customize configuration output) |
hideUiOnSuccess |
boolean | false |
When true the comparison UI will NOT be embedded in Karate HTML reports for all non-failed image comparisons |
Examples:
# use only 'ssim' (structural similarity) engine
* configure imageComparison = { engine: 'ssim' }
# always use both 'resemble' and 'ssim' engines but only evaluate the lowest mismatch percentage against our `failureThreshold`
* configure imageComparison = { engine: 'resemble,ssim' }
# prefer 'resemble' and fallback to 'ssim' engine only if the resemble mismatch percentage is >= `failureThreshold`
* configure imageComparison = { engine: 'resemble|ssim' }
# only consider the comparison as failed when 2% or more pixels are different from the baseline
* configure imageComparison = { failureThreshold: 2 }
# consider image comparisons that fail due to too many mismatched pixels as passed (especially useful when you are first starting without any baseline images)
* configure imageComparison = { mismatchShouldPass: true }
# custom JS function called in Karate HTML image comparison UI when the user clicks the `Rebase` button
* text onShowRebaseFn =
"""
function (config, downloadLatestFn) {
// trigger download of latest image with custom file name
downloadLatestFn('custom_latest.png')
return 'this text will be displayed to the user when they click the rebase button'
}
"""
* configure imageComparison = { onShowRebase: '#(onShowRebaseFn)' }
# custom JS function called in Karate HTML image comparison UI when the user clicks the `Show config` button
* text onShowConfigFn =
"""
function (customConfigJson, config) {
return 'this text will be displayed above the image comparison config\n' + customConfigJson
}
"""
* configure imageComparison = { onShowConfig: '#(onShowConfigFn)' }
# don't embed the image comparison UI when the latest image is the same / similar to the baseline (e.g. to save space and speed up report loading)
* configure imageComparison = { hideUiOnSuccess: true }
Image comparison engines can also be customized:
* compareImage { baseline: 'baseline.png', latest: 'latest.png', options: { /* engine options ... */ } }
Image comparison configuration options:
Key | Engines | Type | Default | Description |
---|---|---|---|---|
ignoredBoxes |
resemble, ssim | array of object | null |
Array of rectangles that should be ignored during image comparison |
ignore |
resemble | string | 'less' | Resemble ignore preset. Valid options are nothing , less , antialiasing , colors , alpha (see presets). |
ignoreAreasColoredWith |
resemble | object | null |
Resemble option to ignore a specific color |
ignoreColors |
resemble | boolean | false |
When true only pixel brightness is compared |
ignoreAntialiasing |
resemble | boolean | false |
When true only pixel brightness is compared for pixels determined to be antialiased |
tolerances |
resemble | object | null |
Resemble option to override preset tolerances for color and brightness |
ssim |
ssim | string | 'WEBER' | SSIM algorithm. Valid options are FAST or WEBER |
rgb2grayVersion |
ssim | string | 'INTEGER' | SSIM grayscale algorithm. Valid options are ORIGINAL or INTEGER |
k1 |
ssim | number | 0.01 |
SSIM first stability constant (see ssim.pdf) |
k2 |
ssim | number | 0.03 |
SSIM second stability constant (see ssim.pdf) |
windowSize |
ssim | integer | 11 |
Window size for the SSIM map (see ssim.pdf) |
bitDepth |
ssim | integer | 8 |
The number of bits used to encode each pixel |
maxSize |
ssim | integer | 256 |
The maximum size on the smallest dimension before downsampling |
Examples:
# ignore areas of an image (e.g. to avoid constant failures due to loading animations)
* def boxes =
"""
[{
top: 483,
left: 1085,
bottom: 893,
right: 1496
}]
"""
* compareImage { baseline: 'baseline.png', latest: 'latest.png', options: { ignoredBoxes: #(boxes) } }
#############################
### Resemble-only options ###
#############################
# zero-tolerance for color shifts
* compareImage { baseline: 'baseline.png', latest: 'latest.png', options: { ignore: 'nothing' } }
# ignore all purple areas
* def purple =
"""
{
r: 190,
g: 0,
b: 255
}
"""
* compareImage { baseline: 'baseline.png', latest: 'latest.png', options: { ignoreAreasColoredWith: '#(purple)' } }
# compare images as grayscale
* compareImage { baseline: 'baseline.png', latest: 'latest.png', options: { ignoreColors: true } }
# attempt to detect and ignore antialiasing
* compareImage { baseline: 'baseline.png', latest: 'latest.png', options: { ignoreAntialiasing: true } }
# customize color / brightness tolerances
* def customTolerances =
"""
{
red: 4,
green: 4,
blue: 4,
alpha: 4,
minBrightness: 4,
maxBrightness: 250
}
* compareImage { baseline: 'baseline.png', latest: 'latest.png', options: { tolerances: '#(customTolerances)' } }
#########################
### SSIM-only options ###
#########################
# switch to `fast` SSIM algorithm
* compareImage { baseline: 'baseline.png', latest: 'latest.png', options: { ssim: 'FAST' } }
# switch to `original` grayscale SSIM algorithm
* compareImage { baseline: 'baseline.png', latest: 'latest.png', options: { rgb2grayVersion: 'ORIGINAL' } }
# update SSIM stability constants
* compareImage { baseline: 'baseline.png', latest: 'latest.png', options: { k1: 0, k2: 0 } }
# update SSIM window size
* compareImage { baseline: 'baseline.png', latest: 'latest.png', options: { windowSize: 3 } }
# update SSIM bit depth
* compareImage { baseline: 'baseline.png', latest: 'latest.png', options: { bitDepth: 16 } }
# update SSIM max size
* compareImage { baseline: 'baseline.png', latest: 'latest.png', options: { maxSize: 512 } }
Type Conversion
Best practice is to stick to using only
def
unless there is a very good reason to do otherwise.
Internally, Karate will auto-convert JSON (and even XML) to Java Map
objects. And JSON arrays would become Java List
-s. But you will never need to worry about this internal data-representation most of the time.
In some rare cases, for e.g. if you acquired a string from some external source, or if you generated JSON (or XML) by concatenating text or using replace
, you may want to convert a string to JSON and vice-versa. You can even perform a conversion from XML to JSON if you want.
One example of when you may want to convert JSON (or XML) to a string is when you are passing a payload to custom code via Java interop. Do note that when passing JSON, the default Map
and List
representations should suffice for most needs (see example), and using them would avoid un-necessary string-conversion.
So you have the following type markers you can use instead of def
(or the rarely used text
). The first four below are best explained in this example file: type-conv.feature
.
- string - convert JSON or any other data-type (except XML) to a string
- json - convert XML, a map-like or list-like object, a string, or even a Java object into JSON
- xml - convert JSON, a map-like object, a string, or even a Java object into XML
- xmlstring - specifically for converting the map-like Karate internal representation of XML into a string
- csv - convert a CSV string into JSON, see
csv
- yaml - convert a YAML string into JSON, see
yaml
- bytes - convert to a byte-array, useful for binary payloads or comparisons, see example
- copy - to clone a given payload variable reference (JSON, XML, Map or List), refer:
copy
The csv
and yaml
types can be initialized in-line using the "triple quote" or "docstring" multi-line approach as shown here.
If you want to 'pretty print' a JSON or XML value with indenting, refer to the documentation of the print
keyword.
Floats and Integers
While converting a number to a string is easy (just concatenate an empty string e.g. myInt + ''
), in some rare cases, you may need to convert a string to a number. You can do this by multiplying by 1
or using the built-in JavaScript parseInt()
function:
* def foo = '10'
* string json = { bar: '#(1 * foo)' }
* match json == '{"bar":10.0}'
* string json = { bar: '#(parseInt(foo))' }
* match json == '{"bar":10.0}'
As per the JSON spec, all numeric values are treated as doubles, so for integers - it really doesn't matter if there is a decimal point or not. In fact it may be a good idea to slip doubles instead of integers into some of your tests ! Anyway, there are times when you may want to force integers (perhaps for cosmetic reasons) and you can easily do so using the 'double-tilde' short-cut: '~~
'.
* def foo = '10'
* string json = { bar: '#(~~foo)' }
* match json == '{"bar":10}'
# JS math can introduce a decimal point in some cases
* def foo = 100
* string json = { bar: '#(foo * 0.1)' }
* match json == '{"bar":10.0}'
# but you can easily coerce to an integer if needed
* string json = { bar: '#(~~(foo * 0.1))' }
* match json == '{"bar":10}'
Large Numbers
Sometimes when dealing with very large numbers, the JS engine may mangle the number into scientific notation:
* def big = 123123123123
* string json = { num: '#(big)' }
* match json == '{"num":1.23123123123E11}'
This can be easily solved by using java.math.BigDecimal
:
* def big = new java.math.BigDecimal(123123123123)
* string json = { num: '#(big)' }
* match json == '{"num":123123123123}'
For more tips, refer here.
doc
Karate has a built-in HTML templating engine that can be used to insert additional custom HTML into the test-reports. Here is an example:
* url 'https://jsonplaceholder.typicode.com/users'
* method get
* doc { read: 'users.html' }
Any Karate variable will be available to the template, which is users.html
in this example.
<table class="table table-striped">
<thead>
<tr>
<th>ID</th>
<th>Name</th>
<th>E-Mail</th>
</tr>
</thead>
<tbody>
<tr th:each="user: response">
<td th:text="user.id"></td>
<td th:text="user.name"></td>
<td th:text="user.email"></td>
</tr>
</tbody>
</table>
You can see what the result looks like here.
Since templates can be loaded using the classpath:
prefix, you can even re-use templates across your projects via Java JAR files.
Karate Expressions
Before we get to the HTTP keywords, it is worth doing a recap of the various 'shapes' that the right-hand-side of an assignment statement can take:
Example | Shape | Description |
---|---|---|
* def foo = 'bar' |
JS | simple strings, numbers or booleans |
* def foo = 'bar' + baz[0] |
JS | any valid JavaScript expression, and variables can be mixed in, another example: bar.length + 1 |
* def foo = { bar: '#(baz)' } |
JSON | anything that starts with a { or a [ is parsed as JSON, use text instead of def if you need to suppress the default behavior |
* def foo = ({ bar: baz }) |
JS | enclosed JavaScript, the result of which is exactly equivalent to the above |
* def foo = <foo>bar</foo> |
XML | anything that starts with a < is parsed as XML, use text instead of def if you need to suppress the default behavior |
* def foo = function(arg){ return arg + bar } |
JS Fn | anything that starts with function(...){ is parsed as a JS function. |
* def foo = read('bar.json') |
JS | using the built-in read() function |
* def foo = $.bar[0] |
JsonPath | short-cut JsonPath on the response |
* def foo = /bar/baz |
XPath | short-cut XPath on the response |
* def foo = get bar $..baz[?(@.ban)] |
get JsonPath |
JsonPath on the variable bar , you can also use get[0] to get the first item if the JsonPath evaluates to an array - especially useful when using wildcards such as [*] or filter-criteria |
* def foo = $bar..baz[?(@.ban)] |
$var.JsonPath | convenience short-cut for the above |
* def foo = get bar count(/baz//ban) |
get XPath |
XPath on the variable bar |
* def foo = karate.pretty(bar) |
JS | using the built-in karate object in JS expressions |
* def Foo = Java.type('com.mycompany.Foo') |
JS-Java | Java Interop, and even package-name-spaced one-liners like java.lang.System.currentTimeMillis() are possible |
* def foo = call bar { baz: '#(ban)' } |
call |
or callonce , where expressions like read('foo.js') are allowed as the object to be called or the argument |
* def foo = bar({ baz: ban }) |
JS | equivalent to the above, JavaScript function invocation |
Core Keywords
They are url
, path
, request
, method
and status
.
These are essential HTTP operations, they focus on setting one (un-named or 'key-less') value at a time and therefore don't need an =
sign in the syntax.
url
Given url 'https://myhost.com/v1/cats'
Within a Scenario
, a URL remains constant until you use the url
keyword again, so this is a good place to set-up the 'non-changing' parts of your REST URL-s.
A URL can take expressions, so the approach below is legal. And yes, variables can come from global config.
Given url 'https://' + e2eHostName + '/v1/api'
JavaScript enthusiasts may prefer variable interpolation using backticks:
* url `https://${e2eHostName}/v1/api`
If you are trying to build dynamic URLs including query-string parameters in the form: http://myhost/some/path?foo=bar&search=true
- please refer to the param
keyword.
configure url
When you call
other features, the url
will be "reset". But if you want the url
to persist, you can do this:
Feature:
Scenario:
* configure url = 'https://httpbin.org'
* path 'anything'
* method get
* call read('@called')
@ignore @called
Scenario:
* path 'anything'
* method get
Note how in the "called" Scenario
you could omit the url
. It is easy to change the url
anytime by using the keyword. Note that you can use variables to set up the url
any time you need to.
path
REST-style path parameters. Can be expressions that will be evaluated. Comma delimited values are supported which can be more convenient, and takes care of URL-encoding and appending '/' between path segments as needed.
Given path 'documents', documentId, 'download'
# or you can do the same on multiple lines if you wish
Given path 'documents'
And path documentId
And path 'download'
Note that the path
'resets' after any HTTP request is made but not the url
. The Hello World is a great example of 'REST-ful' use of the url
when the test focuses on a single REST 'resource'. Look at how the path
did not need to be specified for the second HTTP get
call since /cats
is part of the url
.
Important: If you attempt to build a URL in the form
?myparam=value
by usingpath
the?
will get encoded into%3F
. Use either theparam
keyword, e.g.:* param myparam = 'value'
orurl
:* url 'http://example.com/v1?myparam'
Because Karate strips trailing slashes if part of a path
parameter, if you want to append a forward-slash to the end of the URL in the final HTTP request - make sure that the last path
is a single '/'. For example, if your path has to be documents/
(and not just documents
), use:
Given path 'documents', '/'
request
In-line JSON:
Given request { name: 'Billie', type: 'LOL' }
In-line XML:
And request <cat><name>Billie</name><type>Ceiling</type></cat>
From a file in the same package. Use the classpath:
prefix to load from the classpath instead.
Given request read('my-json.json')
You could always use a variable:
And request myVariable
In most cases you won't need to set the Content-Type
header
as Karate will automatically do the right thing depending on the data-type of the request
.
Defining the request
is mandatory if you are using an HTTP method
that expects a body such as post
. If you really need to have an empty body, you can use an empty string as shown below, and you can force the right Content-Type
header by using the header
keyword.
Given request ''
And header Content-Type = 'text/html'
Sending a file as the entire binary request body is easy (note that multipart
is different):
Given path 'upload'
And request read('my-image.jpg')
When method put
Then status 200
method
The HTTP verb - get
, post
, put
, delete
, patch
, options
, head
, connect
, trace
.
Lower-case is fine.
When method post
It is worth internalizing that during test-execution, it is upon the method
keyword that the actual HTTP request is issued. Which suggests that the step should be in the When
form, for example: When method post
. And steps that follow should logically be in the Then
form. Also make sure that you complete the set up of things like url
, param
, header
, configure
etc. before you fire the method
.
# set headers or params (if any) BEFORE the method step
Given header Accept = 'application/json'
When method get
# the step that immediately follows the above would typically be:
Then status 200
Although rarely needed, variable references or expressions are also supported:
* def putOrPost = (someVariable == 'dev' ? 'put' : 'post')
* method putOrPost
status
This is a shortcut to assert the HTTP response code.
Then status 200
And this assertion will cause the test to fail if the HTTP response code is something else.
See also responseStatus
if you want to do some complex assertions against the HTTP status code.
Keywords that set key-value pairs
They are param
, header
, cookie
, form field
and multipart field
.
The syntax will include a '=' sign between the key and the value. The key should not be within quotes.
To make dynamic data-driven testing easier, the following keywords also exist:
params
,headers
,cookies
andform fields
. They use JSON to build the relevant parts of the HTTP request.
param
Setting query-string parameters:
Given param someKey = 'hello'
And param anotherKey = someVariable
The above would result in a URL like: http://myhost/mypath?someKey=hello&anotherKey=foo
. Note that the ?
and &
will be automatically inserted.
Multi-value params are also supported:
* param myParam = ['foo', 'bar']
For convenience, a null
value will be ignored. You can also use JSON to set multiple query-parameters in one-line using params
and this is especially useful for dynamic data-driven testing.
header
You can use functions or expressions:
Given header Authorization = myAuthFunction()
And header transaction-id = 'test-' + myIdString
It is worth repeating that in most cases you won't need to set the Content-Type
header as Karate will automatically do the right thing depending on the data-type of the request
.
Because of how easy it is to set HTTP headers, Karate does not provide any special keywords for things like
the Accept
header. You simply do
something like this:
Given path 'some/path'
And request { some: 'data' }
And header Accept = 'application/json'
When method post
Then status 200
A common need is to send the same header(s) for every request, and configure headers
(with JSON) is how you can set this up once for all subsequent requests. And if you do this within a Background:
section, it would apply to all Scenario:
sections within the *.feature
file.
* configure headers = { 'Content-Type': 'application/xml' }
Note that Content-Type
had to be enclosed in quotes in the JSON above because the "-
" (hyphen character) would cause problems otherwise. Also note that "; charset=UTF-8
" would be appended to the Content-Type
header that Karate sends by default, and in some rare cases, you may need to suppress this behavior completely. You can do so by setting the charset
to null via the configure
keyword:
* configure charset = null
If you need headers to be dynamically generated for each HTTP request, use a JavaScript function with configure headers
instead of JSON.
Multi-value headers (though rarely used in the wild) are also supported:
* header myHeader = ['foo', 'bar']
Also look at the headers
keyword which uses JSON and makes some kinds of dynamic data-driven testing easier.
cookie
Setting a cookie:
Given cookie foo = 'bar'
You also have the option of setting multiple cookies in one-step using the cookies
keyword.
Note that any cookies returned in the HTTP response would be automatically set for any future requests. This mechanism works by calling configure cookies
behind the scenes and if you need to stop auto-adding cookies for future requests, just do this:
* configure cookies = null
Also refer to the built-in variable responseCookies
for how you can access and perform assertions on cookie data values.
form field
HTML form fields would be URL-encoded when the HTTP request is submitted (by the method
step). You would typically use these to simulate a user sign-in and then grab a security token from the response
.
Note that the Content-Type
header will be automatically set to: application/x-www-form-urlencoded
. You just need to do a normal POST
(or GET
).
For example:
Given path 'login'
And form field username = 'john'
And form field password = 'secret'
When method post
Then status 200
And def authToken = response.token
A good example of the use of form field
for a typical sign-in flow is this OAuth 2 demo: oauth2.feature
.
Multi-values are supported the way you would expect (e.g. for simulating check-boxes and multi-selects):
* form field selected = ['apple', 'orange']
You can also dynamically set multiple fields in one step using the form fields
keyword.
multipart field
Use this for building multipart named (form) field requests. This is typically combined with multipart file
as shown below.
Multiple fields can be set in one step using
multipart fields
.
multipart file
Given multipart file myFile = { read: 'test.pdf', filename: 'upload-name.pdf', contentType: 'application/pdf' }
And multipart field message = 'hello world'
When method post
Then status 200
It is important to note that myFile
above is the "field name" within the multipart/form-data
request payload. This roughly corresponds to a cURL
argument of -F @myFile=test.pdf
.
multipart
file uploads can be tricky, and hard to get right. If you get stuck and ask a question on Stack Overflow, make sure you provide acURL
command that works - or else it would be very difficult for anyone to troubleshoot what you could be doing wrong. Also see this thread.
Also note that multipart file
takes a JSON argument so that you can easily set the filename
and the contentType
(mime-type) in one step.
read
: the name of a file, and theclasspath:
prefix also is allowed. mandatory unlessvalue
is used, see below.value
: alternative toread
in rare cases where something like a JSON or XML file is being uploaded and you want to create it dynamically.filename
: optional, if not specified there will be nofilename
attribute inContent-Disposition
contentType
: optional, will default toapplication/octet-stream
When 'multipart' content is involved, the Content-Type
header of the HTTP request defaults to multipart/form-data
.
You can over-ride it by using the header
keyword before the method
step. Look at
multipart entity
for an example.
Also refer to this demo example for a working example of multipart file uploads: upload.feature
.
You can also dynamically set multiple files in one step using multipart files
.
multipart entity
This is technically not in the key-value form:
multipart field name = 'foo'
, but logically belongs here in the documentation.
Use this for multipart content items that don't have field-names. Here below is an example that
also demonstrates using the multipart/related
content-type.
Given path 'v2', 'documents'
And multipart entity read('foo.json')
And multipart field image = read('bar.jpg')
And header Content-Type = 'multipart/related'
When method post
Then status 201
Multi-Param Keywords
Keywords that set multiple key-value pairs in one step
params
, headers
, cookies
, form fields
, multipart fields
and multipart files
take a single JSON argument (which can be in-line or a variable reference), and this enables certain types of dynamic data-driven testing, especially because any JSON key with a null
value will be ignored. Here is a good example in the demos: dynamic-params.feature
params
* params { searchBy: 'client', active: true, someList: [1, 2, 3] }
See also param
.
headers
* def someData = { Authorization: 'sometoken', tx_id: '1234', extraTokens: ['abc', 'def'] }
* headers someData
See also header
.
cookies
* cookies { someKey: 'someValue', foo: 'bar' }
See also cookie
.
form fields
* def credentials = { username: '#(user.name)', password: 'secret', projects: ['one', 'two'] }
* form fields credentials
See also form field
.
multipart fields
And multipart fields { message: 'hello world', json: { foo: 'bar' } }
See also multipart field
.
multipart files
The single JSON argument needs to be in the form { field1: { read: 'file1.ext' }, field2: { read: 'file2.ext' } }
where each nested JSON is in the form expected by multipart file
* def json = {}
* set json.myFile1 = { read: 'test1.pdf', filename: 'upload-name1.pdf', contentType: 'application/pdf' }
# if you have dynamic keys you can do this
* def key = 'myFile2'
* json[key] = { read: 'test2.pdf', filename: 'upload-name2.pdf', contentType: 'application/pdf' }
And multipart files json
For an example, refer: upload-multiple-files.feature
.
SOAP
Since a SOAP request needs special handling, this is the only case where the
method
step is not used to actually fire the request to the server.
soap action
The name of the SOAP action specified is used as the 'SOAPAction' header. Here is an example which also demonstrates how you could assert for expected values in the response XML.
Given request read('soap-request.xml')
When soap action 'QueryUsageBalance'
Then status 200
And match response /Envelope/Body/QueryUsageBalanceResponse/Result/Error/Code == 'DAT_USAGE_1003'
And match response /Envelope/Body/QueryUsageBalanceResponse == read('expected-response.xml')
Refer to the demos for an example: soap.feature
.
More examples are available that showcase various ways of parameter-izing and dynamically manipulating SOAP requests in a data-driven fashion. Karate is quite flexible, and provides multiple options for you to evolve patterns that fit your environment, as you can see here: xml.feature
.
retry until
Karate has built-in support for re-trying an HTTP request until a certain condition has been met. The default setting for the max retry-attempts is 3 with a poll interval of 3000 milliseconds (3 seconds). If needed, this can be changed by using configure
- any time during a test, or set globally via karate-config.js
* configure retry = { count: 10, interval: 5000 }
The retry
keyword is designed to extend the existing method
syntax (and should appear before a method
step) like so:
Given url demoBaseUrl
And path 'greeting'
And retry until response.id > 3
When method get
Then status 200
Any JavaScript expression that uses any variable in scope can be placed after the "retry until
" part. So you can refer to the response
, responseStatus
or even responseHeaders
if needed. For example:
Given url demoBaseUrl
And path 'greeting'
And retry until responseStatus == 200 && response.id > 3
When method get
Note that it has to be a pure JavaScript expression - which means that
match
syntax such ascontains
will not work. But you can easily achieve any complex logic by using the JS API.
Refer to polling.feature
for an example, and also see the alternative way to achieve polling.
configure
Managing Headers, SSL, Timeouts and HTTP Proxy
You can adjust configuration settings for the HTTP client used by Karate using this keyword. The syntax is similar to def
but instead of a named variable, you update configuration. Here are the configuration keys supported:
Key | Type | Description |
---|---|---|
url |
string | See configure url |
headers |
JSON / JS function | See configure headers |
cookies |
JSON / JS function | Just like configure headers , but for cookies. You will typically never use this, as response cookies are auto-added to all future requests. If you need to clear cookies at any time, just do configure cookies = null |
logPrettyRequest |
boolean | Pretty print the request payload JSON or XML with indenting (default false ) |
logPrettyResponse |
boolean | Pretty print the response payload JSON or XML with indenting (default false ) |
printEnabled |
boolean | Can be used to suppress the print output when not in 'dev mode' by setting as false (default true ) |
report |
JSON / boolean | see report verbosity |
afterScenario |
JS function | Will be called after every Scenario (or Example within a Scenario Outline ), refer to this example: hooks.feature |
afterFeature |
JS function | Will be called after every Feature , refer to this example: hooks.feature |
ssl |
boolean | Enable HTTPS calls without needing to configure a trusted certificate or key-store. |
ssl |
string | Like above, but force the SSL algorithm to one of these values. (The above form internally defaults to TLS if simply set to true ). |
ssl |
JSON | see X509 certificate authentication |
followRedirects |
boolean | Whether the HTTP client automatically follows redirects - (default true ), refer to this example. |
connectTimeout |
integer | Set the connect timeout (milliseconds). The default is 30000 (30 seconds). Note that for karate-apache , this sets the socket timeout to the same value as well. |
readTimeout |
integer | Set the read timeout (milliseconds). The default is 30000 (30 seconds). |
proxy |
string | Set the URI of the HTTP proxy to use. |
proxy |
JSON | For a proxy that requires authentication, set the uri , username and password , see example below. Also a nonProxyHosts key is supported which can take a list for e.g. { uri: 'http://my.proxy.host:8080', nonProxyHosts: ['host1', 'host2']} |
localAddress |
string | see karate-gatling |
charset |
string | The charset that will be sent in the request Content-Type which defaults to utf-8 . You typically never need to change this, and you can over-ride (or disable) this per-request if needed via the header keyword (example). |
retry |
JSON | defaults to { count: 3, interval: 3000 } - see retry until |
callSingleCache |
JSON | defaults to { minutes: 0, dir: 'target' } - see configure callSingleCache |
lowerCaseResponseHeaders |
boolean | Converts every key in the responseHeaders to lower-case which makes it easier to validate or re-use |
abortedStepsShouldPass |
boolean | defaults to false , whether steps after a karate.abort() should be marked as PASSED instead of SKIPPED - this can impact the behavior of 3rd-party reports, see this issue for details |
logModifier |
Java Object | See Log Masking |
responseHeaders |
JSON / JS function | See karate-netty |
cors |
boolean | See karate-netty |
driver |
JSON | See UI Automation |
driverTarget |
JSON / Java Object | See configure driverTarget |
pauseIfNotPerf |
boolean | defaults to false , relevant only for performance-testing, see karate.pause() and karate-gatling |
xmlNamespaceAware |
boolean | defaults to false , to handle XML namespaces in some special circumstances |
abortSuiteOnFailure |
boolean | defaults to false , to not attempt to run any more tests upon a failure |
ntlmAuth |
JSON | See NTLM Authentication |
matchEachEmptyAllowed |
boolean | defaults to false , match each by default expects the array to be non-empty, refer to this issue to understand why you may want to over-ride this. |
httpRetryEnabled |
boolean | defaults to false , retry when the http requests fails with an exception org.apache.httpNoHttpResponseException . For details see this issue |
Examples:
# pretty print the response payload
* configure logPrettyResponse = true
# enable ssl (and no certificate is required)
* configure ssl = true
# enable ssl and force the algorithm to TLSv1.2
* configure ssl = 'TLSv1.2'
# time-out if the response is not received within 10 seconds (after the connection is established)
* configure readTimeout = 10000
# set the uri of the http proxy server to use
* configure proxy = 'http://my.proxy.host:8080'
# proxy which needs authentication
* configure proxy = { uri: 'http://my.proxy.host:8080', username: 'john', password: 'secret' }
configure
globally
If you need to set any of these "globally" you can easily do so using the karate
object in karate-config.js
- for e.g:
karate.configure('ssl', true);
karate.configure('readTimeout', 5000);
In rare cases where you need to add nested non-JSON data to the configure
value, you have to play by the rules that apply within karate-config.js
. Here is an example of performing a configure driver
step in JavaScript:
var LM = Java.type('com.mycompany.MyHttpLogModifier');
var driverConfig = { type:'chromedriver', start: false, webDriverUrl:'https://user:[email protected]/wd/hub' };
driverConfig.httpConfig = karate.toMap({ logModifier: LM.INSTANCE });
karate.configure('driver', driverConfig);
Report Verbosity
By default, Karate will add logs to the report output so that HTTP requests and responses appear in-line in the HTML reports. There may be cases where you want to suppress this to make the reports "lighter" and easier to read.
The configure key here is report
and it takes a JSON value. For example:
* configure report = { showLog: true, showAllSteps: false }
report |
Type | Description |
---|---|---|
showLog |
boolean | HTTP requests and responses (including headers) will appear in the HTML report, default true |
showAllSteps |
boolean | If false , any step that starts with * instead of Given , When , Then etc. will not appear in the HTML report. The print step is an exception. Default true . |
You can 'reset' default settings by using the following short-cut:
# reset to defaults
* configure report = true
Since you can use configure
any time within a test, you have control over which requests or steps you want to show / hide. This can be convenient if a particular call results in a huge response payload.
The following short-cut is also supported which will disable all logs:
* configure report = false
@report=false
When you use a re-usable feature that has commonly used utilities, you may want to hide this completely from the HTML reports. The special tag @report=false
can be used, and it can even be used only for a single Scenario
:
@ignore @report=false
Feature:
Scenario:
# some re-usable steps
Log Masking
In cases where you want to "mask" values which are sensitive from a security point of view from the output files, logs and HTML reports, you can implement the HttpLogModifier
and tell Karate to use it via the configure
keyword. Here is an example of an implementation. For performance reasons, you can implement enableForUri()
so that this "activates" only for some URL patterns.
Instantiating a Java class and using this in a test is easy (see example):
# if this was in karate-config.js, it would apply "globally"
* def LM = Java.type('demo.headers.DemoLogModifier')
* configure logModifier = new LM()
Or globally in karate-config.js
var LM = Java.type('demo.headers.DemoLogModifier');
karate.configure('logModifier', new LM());
Since karate-config.js
is processed for every Scenario
, you can use a singleton instead of calling new
every time. Something like this:
var LM = Java.type('demo.headers.DemoLogModifier');
karate.configure('logModifier', LM.INSTANCE);
System Properties for SSL and HTTP proxy
For HTTPS / SSL, you can also specify a custom certificate or trust store by setting Java system properties. And similarly - for specifying the HTTP proxy.
X509 Certificate Authentication
Also referred to as "mutual auth" - if your API requires that clients present an X509 certificate for authentication, Karate supports this via JSON as the configure ssl
value. The following parameters are supported:
Key | Type | Required? | Description |
---|---|---|---|
keyStore |
string | optional | path to file containing public and private keys for your client certificate. |
keyStorePassword |
string | optional | password for keyStore file. |
keyStoreType |
string | optional | Format of the keyStore file. Allowed keystore types are as described in the Java KeyStore docs. |
trustStore |
string | optional | path to file containing the trust chain for your server certificate. |
trustStorePassword |
string | optional | password for trustStore file. |
trustStoreType |
string | optional | Format of the trustStore file. Allowed keystore types are as described in the Java KeyStore docs. |
trustAll |
boolean | optional | if all server certificates should be considered trusted. Default value is false . If true will allow self-signed certificates. If false , will expect the whole chain in the trustStore or use what is available in the environment. |
algorithm |
string | optional | force the SSL algorithm to one of these values. Default is TLS . |
Example:
# enable X509 certificate authentication with PKCS12 file 'certstore.pfx' and password 'certpassword'
* configure ssl = { keyStore: 'classpath:certstore.pfx', keyStorePassword: 'certpassword', keyStoreType: 'pkcs12' }
# trust all server certificates, in the feature file
* configure ssl = { trustAll: true }
// trust all server certificates, global configuration in 'karate-config.js'
karate.configure('ssl', { trustAll: true });
For end-to-end examples in the Karate demos, look at the files in this folder.
NTLM Authentication
Karate provides support for NTLM authentication using the Apache NTLMEngine implementation.
Key | Type | Required? | Description |
---|---|---|---|
username |
string | required | NTLM username |
password |
string | required | NTLM password |
workstation |
string | optional | The workstation the authentication request is originating from |
domain |
string | optional | The domain to authenticate within |
Example:
# enable NTLM authentication for the remaining scenario requests
* configure ntlmAuth = { username: 'admin', password: 'secret', domain: 'my.domain', workstation: 'my-pc' }
# enable NTLM authentication with only credentials
* configure ntlmAuth = { username: 'admin', password: 'secret' }
# disable NTLM authentication
* configure ntlmAuth = null
// enable NTLM authentication within js
karate.confgure('ntlmAuth', { username: 'admin', password: 'secret', domain: 'my.domain', workstation: 'my-pc' })
Payload Assertions
Prepare, Mutate, Assert.
Now it should be clear how Karate makes it easy to express JSON or XML. If you read from a file, the advantage is that multiple scripts can re-use the same data.
Once you have a JSON or XML object, Karate provides multiple ways to manipulate, extract or transform data. And you can easily assert that the data is as expected by comparing it with another JSON or XML object.
match
Payload Assertions / Smart Comparison
The match
operation is smart because white-space does not matter, and the order of keys (or data elements) does not matter. Karate is even able to ignore fields you choose - which is very useful when you want to handle server-side dynamically generated fields such as UUID-s, time-stamps, security-tokens and the like.
The match syntax involves a double-equals sign '==' to represent a comparison (and not an assignment '=').
Since match
and set
go well together, they are both introduced in the examples in the section below.
set
Game, set
and match
- Karate !
JS for JSON
Before you consider the set
keyword - note that for simple JSON update operations, you can use eval
- especially useful when the path you are trying to mutate is dynamic. Since the eval
keyword can be omitted when operating on variables using JavaScript, this leads to very concise code:
* def myJson = { a: '1' }
* myJson.b = 2
* match myJson == { a: '1', b: 2 }
Refer to eval
for more / advanced examples.
Manipulating Data
Setting values on JSON documents is simple using the set
keyword.
* def myJson = { foo: 'bar' }
* set myJson.foo = 'world'
* match myJson == { foo: 'world' }
# add new keys. you can use pure JsonPath expressions (notice how this is different from the above)
* set myJson $.hey = 'ho'
* match myJson == { foo: 'world', hey: 'ho' }
# and even append to json arrays (or create them automatically)
* set myJson.zee[0] = 5
* match myJson == { foo: 'world', hey: 'ho', zee: [5] }
# omit the array index to append
* set myJson.zee[] = 6
* match myJson == { foo: 'world', hey: 'ho', zee: [5, 6] }
# nested json ? no problem
* set myJson.cat = { name: 'Billie' }
* match myJson == { foo: 'world', hey: 'ho', zee: [5, 6], cat: { name: 'Billie' } }
# and for match - the order of keys does not matter
* match myJson == { cat: { name: 'Billie' }, hey: 'ho', foo: 'world', zee: [5, 6] }
# you can ignore fields marked with '#ignore'
* match myJson == { cat: '#ignore', hey: 'ho', foo: 'world', zee: [5, 6] }
XML and XPath works just like you'd expect.
* def cat = <cat><name>Billie</name></cat>
* set cat /cat/name = 'Jean'
* match cat / == <cat><name>Jean</name></cat>
# you can even set whole fragments of xml
* def xml = <foo><bar>baz</bar></foo>
* set xml/foo/bar = <hello>world</hello>
* match xml == <foo><bar><hello>world</hello></bar></foo>
Refer to the section on XPath Functions for examples of advanced XPath usage.
match
and variables
In case you were wondering, variables (and even expressions) are supported on the right-hand-side. So you can compare 2 JSON (or XML) payloads if you wanted to:
* def foo = { hello: 'world', baz: 'ban' }
* def bar = { baz: 'ban', hello: 'world' }
* match foo == bar
If you are wondering about the finer details of the match
syntax, the Left-Hand-Side has to be either a
- variable name - e.g.
foo
- a 'named' JsonPath or XPath expression - e.g.
foo[0].bar
orfoo[*].bar
- note that this cannot be "dynamic" (with in-line variables) so use an extra step if needed
- any valid function or method call - e.g.
foo.bar()
orfoo.bar('hello').baz
- or anything wrapped in parentheses which will be evaluated as JavaScript - e.g.
(foo + bar)
or(42)
- and in this case, variables can be used
And the right-hand-side can be any valid Karate expression. Refer to the section on JsonPath short-cuts for a deeper understanding of 'named' JsonPath expressions in Karate.
match !=
(not equals)
The 'not equals' operator !=
works as you would expect:
* def test = { foo: 'bar' }
* match test != { foo: 'baz' }
You typically will never need to use the
!=
(not-equals) operator ! Use it sparingly, and only for string, number or simple payload comparisons.
set
multiple
Karate has an elegant way to set multiple keys (via path expressions) in one step. For convenience, non-existent keys (or array elements) will be created automatically. You can find more JSON examples here: js-arrays.feature
.
* def cat = { name: '' }
* set cat
| path | value |
| name | 'Bob' |
| age | 5 |
* match cat == { name: 'Bob', age: 5 }
One extra convenience for JSON is that if the variable itself (which was cat
in the above example) does not exist, it will be created automatically. You can even create (or modify existing) JSON arrays by using multiple columns.
* set foo
| path | 0 | 1 |
| bar | 'baz' | 'ban' |
* match foo == [{ bar: 'baz' }, { bar: 'ban' }]
If you have to set a bunch of deeply nested keys, you can move the parent path to the top, next to the set
keyword and save a lot of typing ! Note that this is not supported for "arrays" like above, and you can have only one value
column.
* set foo.bar
| path | value |
| one | 1 |
| two[0] | 2 |
| two[1] | 3 |
* match foo == { bar: { one: 1, two: [2, 3] } }
The same concept applies to XML and you can build complicated payloads from scratch in just a few, extremely readable lines. The value
column can take expressions, even XML chunks. You can find more examples here: xml.feature
.
* set search /acc:getAccountByPhoneNumber
| path | value |
| acc:phone/@foo | 'bar' |
| acc:phone/acc:number[1] | 1234 |
| acc:phone/acc:number[2] | 5678 |
| acc:phoneNumberSearchOption | 'all' |
* match search ==
"""
<acc:getAccountByPhoneNumber>
<acc:phone foo="bar">
<acc:number>1234</acc:number>
<acc:number>5678</acc:number>
</acc:phone>
<acc:phoneNumberSearchOption>all</acc:phoneNumberSearchOption>
</acc:getAccountByPhoneNumber>
"""
remove
This is like the opposite of set
if you need to remove keys or data elements from JSON or XML instances. You can even remove JSON array elements by index.
* def json = { foo: 'world', hey: 'ho', zee: [1, 2, 3] }
* remove json.hey
* match json == { foo: 'world', zee: [1, 2, 3] }
* remove json $.zee[1]
* match json == { foo: 'world', zee: [1, 3] }
remove
works for XML elements as well:
* def xml = <foo><bar><hello>world</hello></bar></foo>
* remove xml/foo/bar/hello
* match xml == <foo><bar/></foo>
* remove xml /foo/bar
* match xml == <foo/>
Also take a look at how a special case of embedded-expressions can remove key-value pairs from a JSON (or XML) payload: Remove if Null.
See also delete
, below.
delete
For JSON, you can also use the JS delete
operator via eval
, useful when the path you are trying to mutate is dynamic.
* def key = 'a'
* def foo = { a: 1 }
* eval delete foo[key]
As a convenience, you can omit the eval
:
* delete foo[key]
Fuzzy Matching
Ignore or Validate
When expressing expected results (in JSON or XML) you can mark some fields to be ignored when the match (comparison) is performed. You can even use a regular-expression so that instead of checking for equality, Karate will just validate that the actual value conforms to the expected pattern.
This means that even when you have dynamic server-side generated values such as UUID-s and time-stamps appearing in the response, you can still assert that the full-payload matched in one step.
* def cat = { name: 'Billie', type: 'LOL', id: 'a9f7a56b-8d5c-455c-9d13-808461d17b91' }
* match cat == { name: '#ignore', type: '#regex [A-Z]{3}', id: '#uuid' }
# this will fail
# * match cat == { name: '#ignore', type: '#regex .{2}', id: '#uuid' }
Note that regex escaping has to be done with a double back-slash - for e.g:
'#regex a\\.dot'
will match'a.dot'
The supported markers are the following:
Marker | Description |
---|---|
#ignore |
Skip comparison for this field even if the data element or JSON key is present |
#null |
Expects actual value to be null , and the data element or JSON key must be present |
#notnull |
Expects actual value to be not-null |
#present |
Actual value can be any type or even null , but the key must be present (only for JSON / XML, see below) |
#notpresent |
Expects the key to be not present at all (only for JSON / XML, see below) |
#array |
Expects actual value to be a JSON array |
#object |
Expects actual value to be a JSON object |
#boolean |
Expects actual value to be a boolean true or false |
#number |
Expects actual value to be a number |
#string |
Expects actual value to be a string |
#uuid |
Expects actual (string) value to conform to the UUID format |
#regex STR |
Expects actual (string) value to match the regular-expression 'STR' (see examples above) |
#? EXPR |
Expects the JavaScript expression 'EXPR' to evaluate to true, see self-validation expressions below |
#[NUM] EXPR |
Advanced array validation, see schema validation |
#(EXPR) |
For completeness, embedded expressions belong in this list as well |
Note that #present
and #notpresent
only make sense when you are matching within a JSON or XML context or using a JsonPath or XPath on the left-hand-side.
* def json = { foo: 'bar' }
* match json == { foo: '#present' }
* match json.nope == '#notpresent'
The rest can also be used even in 'primitive' data matches like so:
* match foo == '#string'
# convenient (and recommended) way to check for array length
* match bar == '#[2]'
Optional Fields
If two cross-hatch #
symbols are used as the prefix (for example: ##number
), it means that the key is optional or that the value can be null.
* def foo = { bar: 'baz' }
* match foo == { bar: '#string', ban: '##string' }
Remove If Null
A very useful behavior when you combine the optional marker with an embedded expression is as follows: if the embedded expression evaluates to null
- the JSON key (or XML element or attribute) will be deleted from the payload (the equivalent of remove
).
* def data = { a: 'hello', b: null, c: null }
* def json = { foo: '#(data.a)', bar: '#(data.b)', baz: '##(data.c)' }
* match json == { foo: 'hello', bar: null }
If you are just trying to pre-define schema snippets to use in a fuzzy-match, you can use enclosed Javascript to suppress the default behavior of replacing placeholders. For example:
* def dogSchema = { id: '#string', color: '#string' }
# here we enclose in round-brackets to preserve the optional embedded expression
# so that it can be used later in a "match"
* def schema = ({ id: '#string', name: '#string', dog: '##(dogSchema)' })
* def response1 = { id: '123', name: 'foo' }
* match response1 == schema
And if you need to suppress placeholder substitution for read()
, but still need a JSON snippet, you can do this. Note how we read as a string, but "cast" to JSON:
* json schema = karate.readAsString('schema.json')
If you want to use the triple-quote / multi-line way of defining JSON or if you have to use XML - you can use text
and "cast" to JSON or XML as a second step - before using in a match
:
* text schema =
"""
<root>
<a>#string</a>
<b>##(subSchema)</b>
</root>
"""
* xml schema = schema
#null
and #notpresent
Karate's match
is strict, and the case where a JSON key exists but has a null
value (#null
) is considered different from the case where the key is not present at all (#notpresent
) in the payload.
But note that ##null
can be used to represent a convention that many teams adopt, which is that keys with null
values are stripped from the JSON payload. In other words, { a: 1, b: null }
is considered 'equal' to { a: 1 }
and { a: 1, b: '##null' }
will match
both cases.
These examples (all exact matches) can make things more clear:
* def foo = { }
* match foo == { a: '##null' }
* match foo == { a: '##notnull' }
* match foo == { a: '#notpresent' }
* match foo == { a: '#ignore' }
* def foo = { a: null }
* match foo == { a: '#null' }
* match foo == { a: '##null' }
* match foo == { a: '#present' }
* match foo == { a: '#ignore' }
* def foo = { a: 1 }
* match foo == { a: '#notnull' }
* match foo == { a: '##notnull' }
* match foo == { a: '#present' }
* match foo == { a: '#ignore' }
Note that you can alternatively use JsonPath on the left-hand-side:
* def foo = { a: 1 }
* match foo.a == '#present'
* match foo.nope == '#notpresent'
But of course it is preferable to match whole objects in one step as far as possible.
'Self' Validation Expressions
The special 'predicate' marker #? EXPR
in the table above is an interesting one. It is best explained via examples. Any valid JavaScript expression that evaluates to a Truthy or Falsy value is expected after the #?
.
Observe how the value of the field being validated (or 'self') is injected into the 'underscore' expression variable: '_
'
* def date = { month: 3 }
* match date == { month: '#? _ > 0 && _ < 13' }
What is even more interesting is that expressions can refer to variables:
* def date = { month: 3 }
* def min = 1
* def max = 12
* match date == { month: '#? _ >= min && _ <= max' }
And functions work as well ! You can imagine how you could evolve a nice set of utilities that validate all your domain objects.
* def date = { month: 3 }
* def isValidMonth = function(m) { return m >= 1 && m <= 12 }
* match date == { month: '#? isValidMonth(_)' }
Especially since strings can be easily coerced to numbers (and vice-versa) in Javascript, you can combine built-in validators with the self-validation 'predicate' form like this: '#number? _ > 0'
# given this invalid input (string instead of number)
* def date = { month: '3' }
# this will pass
* match date == { month: '#? _ > 0' }
# but this 'combined form' will fail, which is what we want
# * match date == { month: '#number? _ > 0' }
Referring to the JSON root
You can actually refer to any JsonPath on the document via $
and perform cross-field or conditional validations ! This example uses contains
and the #?
'predicate' syntax, and situations where this comes in useful will be apparent when we discuss match each
.
Given def temperature = { celsius: 100, fahrenheit: 212 }
Then match temperature == { celsius: '#number', fahrenheit: '#? _ == $.celsius * 1.8 + 32' }
# when validation logic is an 'equality' check, an embedded expression works better
Then match temperature contains { fahrenheit: '#($.celsius * 1.8 + 32)' }
match
text or binary
# when the response is plain-text
Then match response == 'Health Check OK'
And match response != 'Error'
# when the response is binary (byte-array)
Then match responseBytes == read('test.pdf')
# incidentally, match and assert behave exactly the same way for strings
* def hello = 'Hello World!'
* match hello == 'Hello World!'
* assert hello == 'Hello World!'
Checking if a string is contained within another string is a very common need and match
(name) contains
works just like you'd expect:
* def hello = 'Hello World!'
* match hello contains 'World'
* match hello !contains 'blah'
For case-insensitive string comparisons, see how to create custom utilities or karate.lowerCase()
. And for dealing with binary content - see bytes
.
match header
Since asserting against header values in the response is a common task - match header
has a special meaning. It short-cuts to the pre-defined variable responseHeaders
and reduces some complexity - because strictly, HTTP headers are a 'multi-valued map' or a 'map of lists' - the Java-speak equivalent being Map<String, List<String>>
. And since header names are case-insensitive - it ignores the case when finding the header to match.
# so after a http request
Then match header Content-Type == 'application/json'
# 'contains' works as well
Then match header Content-Type contains 'application'
Note the extra convenience where you don't have to enclose the LHS key in quotes.
You can always directly access the variable called responseHeaders
if you wanted to do more checks, but you typically won't need to.
match
and XML
All the fuzzy matching markers will work in XML as well. Here are some examples:
* def xml = <root><hello>world</hello><foo>bar</foo></root>
* match xml == <root><hello>world</hello><foo>#ignore</foo></root>
* def xml = <root><hello foo="bar">world</hello></root>
* match xml == <root><hello foo="#ignore">world</hello></root>
Refer to this file for a comprehensive set of XML examples: xml.feature
.
Matching Sub-Sets of JSON Keys and Arrays
match contains
JSON Keys
In some cases where the response JSON is wildly dynamic, you may want to only check for the existence of some keys. And match
(name) contains
is how you can do so:
* def foo = { bar: 1, baz: 'hello', ban: 'world' }
* match foo contains { bar: 1 }
* match foo contains { baz: 'hello' }
* match foo contains { bar:1, baz: 'hello' }
# this will fail
# * match foo == { bar:1, baz: 'hello' }
Note that match contains
will not "recurse" any nested JSON chunks so use match contains deep
instead.
Also note that match contains any
is possible for JSON objects as well as JSON arrays.
(not) !contains
It is sometimes useful to be able to check if a key-value-pair does not exist. This is possible by prefixing contains
with a !
(with no space in between).
* def foo = { bar: 1, baz: 'hello', ban: 'world' }
* match foo !contains { bar: 2 }
* match foo !contains { huh: '#notnull' }
Here's a reminder that the #notpresent
marker can be mixed into an equality match
(==
) to assert that some keys exist and at the same time ensure that some keys do not exist:
* def foo = { a: 1 }
* match foo == { a: '#number', b: '#notpresent' }
# if b can be present (optional) but should always be null
* match foo == { a: '#number', b: '##null' }
The !
(not) operator is especially useful for contains
and JSON arrays.
* def foo = [1, 2, 3]
* match foo !contains 4
* match foo !contains [5, 6]
JSON Arrays
This is a good time to deep-dive into JsonPath, which is perfect for slicing and dicing JSON into manageable chunks. It is worth taking a few minutes to go through the documentation and examples here: JsonPath Examples.
Here are some example assertions performed while scraping a list of child elements out of the JSON below. Observe how you can match
the result of a JsonPath expression with your expected data.
Given def cat =
"""
{
name: 'Billie',
kittens: [
{ id: 23, name: 'Bob' },
{ id: 42, name: 'Wild' }
]
}
"""
# normal 'equality' match. note the wildcard '*' in the JsonPath (returns an array)
Then match cat.kittens[*].id == [23, 42]
# when inspecting a json array, 'contains' just checks if the expected items exist
# and the size and order of the actual array does not matter
Then match cat.kittens[*].id contains 23
Then match cat.kittens[*].id contains [42]
Then match cat.kittens[*].id contains [23, 42]
Then match cat.kittens[*].id contains [42, 23]
# the .. operator is great because it matches nodes at any depth in the JSON "tree"
Then match cat..name == ['Billie', 'Bob', 'Wild']
# and yes, you can assert against nested objects within JSON arrays !
Then match cat.kittens contains [{ id: 42, name: 'Wild' }, { id: 23, name: 'Bob' }]
# ... and even ignore fields at the same time !
Then match cat.kittens contains { id: 42, name: '#string' }
It is worth mentioning that to do the equivalent of the last line in Java, you would typically have to traverse 2 Java Objects, one of which is within a list, and you would have to check for nulls as well.
When you use Karate, all your data assertions can be done in pure JSON and without needing a thick forest of companion Java objects. And when you read
your JSON objects from (re-usable) files, even complex response payload assertions can be accomplished in just a single line of Karate-script.
Refer to this case study for how dramatic the reduction of lines of code can be.
match contains only
For those cases where you need to assert that all array elements are present but in any order you can do this:
* def data = { foo: [1, 2, 3] }
* match data.foo contains 1
* match data.foo contains [2]
* match data.foo contains [3, 2]
* match data.foo contains only [3, 2, 1]
* match data.foo contains only [2, 3, 1]
# this will fail
# * match data.foo contains only [2, 3]
match contains any
To assert that any of the given array elements are present.
* def data = { foo: [1, 2, 3] }
* match data.foo contains any [9, 2, 8]
And this happens to work as expected for JSON object keys as well:
* def data = { a: 1, b: 'x' }
* match data contains any { b: 'x', c: true }
match contains deep
This modifies the behavior of match contains
so that nested lists or objects are processed for a "deep contains" match instead of a "deep equals" one which is the default. This is convenient for complex nested payloads where you are sure that you only want to check for some values in the various "trees" of data.
Here is an example:
Scenario: recurse nested json
* def original = { a: 1, b: 2, c: 3, d: { a: 1, b: 2 } }
* def expected = { a: 1, c: 3, d: { b: 2 } }
* match original contains deep expected
Scenario: recurse nested array
* def original = { a: 1, arr: [ { b: 2, c: 3 }, { b: 3, c: 4 } ] }
* def expected = { a: 1, arr: [ { b: 2 }, { c: 4 } ] }
* match original contains deep expected
the NOT operator e.g.
!contains deep
is not yet supported, please contribute code if you can.
match contains only deep
This is exactly like match ==
but the order of arrays does not matter. All arrays no matter the "depth" will be checked in this way.
* def response = { foo: [ 'a', 'b' ] }
* match response contains only deep { foo: [ 'b', 'a' ] }
Validate every element in a JSON array
match each
The match
keyword can be made to iterate over all elements in a JSON array using the each
modifier. Here's how it works:
* def data = { foo: [{ bar: 1, baz: 'a' }, { bar: 2, baz: 'b' }, { bar: 3, baz: 'c' }]}
* match each data.foo == { bar: '#number', baz: '#string' }
# and you can use 'contains' the way you'd expect
* match each data.foo contains { bar: '#number' }
* match each data.foo contains { bar: '#? _ != 4' }
# some more examples of validation macros
* match each data.foo contains { baz: "#? _ != 'z'" }
* def isAbc = function(x) { return x == 'a' || x == 'b' || x == 'c' }
* match each data.foo contains { baz: '#? isAbc(_)' }
# this is also possible, see the subtle difference from the above
* def isXabc = function(x) { return x.baz == 'a' || x.baz == 'b' || x.baz == 'c' }
* match each data.foo == '#? isXabc(_)'
Here is a contrived example that uses match each
, contains
and the #?
'predicate' marker to validate that the value of totalPrice
is always equal to the roomPrice
of the first item in the roomInformation
array.
Given def json =
"""
{
"hotels": [
{ "roomInformation": [{ "roomPrice": 618.4 }], "totalPrice": 618.4 },
{ "roomInformation": [{ "roomPrice": 679.79}], "totalPrice": 679.79 }
]
}
"""
Then match each json.hotels contains { totalPrice: '#? _ == _$.roomInformation[0].roomPrice' }
# when validation logic is an 'equality' check, an embedded expression works better
Then match each json.hotels contains { totalPrice: '#(_$.roomInformation[0].roomPrice)' }
Referring to self
While $
always refers to the JSON 'root', note the use of _$
above to represent the 'current' node of a match each
iteration. Here is a recap of symbols that can be used in JSON embedded expressions:
Symbol | Evaluates To |
---|---|
$ |
The 'root' of the JSON document in scope |
_ |
The value of 'self' |
_$ |
The 'parent' of 'self' or 'current' item in the list, relevant when using match each |
There is a shortcut for match each
explained in the next section that can be quite useful, especially for 'in-line' schema-like validations.
match each contains deep
match each
can be combined with contains deep
so that for each JSON object a “deep contains” match is performed within nested lists or objects.
This is useful for testing payloads with JSON arrays whose members have a few essential keys that you wish to validate.
Given def response =
"""
[
{
"a": 1,
"arr": [
{
"b": 2,
"c": 3
}
]
},
{
"a": 1,
"arr": [
{
"b": 2,
"c": 3
},
{
"b": 4,
"c": 5
}
]
}
]
"""
Then match each response contains deep { a: 1, arr: [ { b: 2 } ] }
Schema Validation
Karate provides a far more simpler and more powerful way than JSON-schema to validate the structure of a given payload. You can even mix domain and conditional validations and perform all assertions in a single step.
But first, a special short-cut for array validation needs to be introduced:
* def foo = ['bar', 'baz']
# should be an array
* match foo == '#[]'
# should be an array of size 2
* match foo == '#[2]'
# should be an array of strings with size 2
* match foo == '#[2] #string'
# each array element should have a 'length' property with value 3
* match foo == '#[]? _.length == 3'
# should be an array of strings each of length 3
* match foo == '#[] #string? _.length == 3'
# should be null or an array of strings
* match foo == '##[] #string'
This 'in-line' short-cut for validating JSON arrays is similar to how match each
works. So now, complex payloads (that include arrays) can easily be validated in one step by combining validation markers like so:
* def oddSchema = { price: '#string', status: '#? _ < 3', ck: '##number', name: '#regex[0-9X]' }
* def isValidTime = read('time-validator.js')
When method get
Then match response ==
"""
{
id: '#regex[0-9]+',
count: '#number',
odd: '#(oddSchema)',
data: {
countryId: '#number',
countryName: '#string',
leagueName: '##string',
status: '#number? _ >= 0',
sportName: '#string',
time: '#? isValidTime(_)'
},
odds: '#[] oddSchema'
}
"""
Especially note the re-use of the oddSchema
both as an embedded-expression and as an array validation (on the last line).
And you can perform conditional / cross-field validations and even business-logic validations at the same time.
# optional (can be null) and if present should be an array of size greater than zero
* match $.odds == '##[_ > 0]'
# should be an array of size equal to $.count
* match $.odds == '#[$.count]'
# use a predicate function to validate each array element
* def isValidOdd = function(o){ return o.name.length == 1 }
* match $.odds == '#[]? isValidOdd(_)'
Refer to this for the complete example: schema-like.feature
And there is another example in the karate-demos: schema.feature
where you can compare Karate's approach with an actual JSON-schema example. You can also find a nice visual comparison and explanation here.
contains
short-cuts
Especially when payloads are complex (or highly dynamic), it may be more practical to use contains
semantics. Karate has the following short-cut symbols designed to be mixed into embedded expressions
:
Symbol | Means |
---|---|
^ |
contains |
^^ |
contains only |
^* |
contains any |
^+ |
contains deep |
!^ |
not contains |
Here'a table of the alternative 'in-line' forms compared with the 'standard' form. Note that all the short-cut forms on the right-side of the table resolve to 'equality' (==
) matches, which enables them to be 'in-lined' into a full (single-step) payload match
, using embedded expressions.
A very useful capability is to be able to check that an array contains
an object that contains
the provided sub-set of keys instead of having to specify the complete JSON - which can get really cumbersome for large objects. This turns out to be very useful in practice, and this particular match
jsonArray contains '#(^
partialObject)'
form has no 'in-line' equivalent (see the third-from-last row above).
The last row in the table is a little different from the rest, and this short-cut form is the recommended way to validate the length of a JSON array. As a rule of thumb, prefer
match
overassert
, becausematch
failure messages are more detailed and descriptive.
In real-life tests, these are very useful when the order of items in arrays returned from the server are not guaranteed. You can easily assert that all expected elements are present, even in nested parts of your JSON - while doing a match
on the full payload.
* def cat =
"""
{
name: 'Billie',
kittens: [
{ id: 23, name: 'Bob' },
{ id: 42, name: 'Wild' }
]
}
"""
* def expected = [{ id: 42, name: 'Wild' }, { id: 23, name: 'Bob' }]
* match cat == { name: 'Billie', kittens: '#(^^expected)' }
There's a lot going on in the last line above ! It validates the entire payload in one step and checks if the kittens
array contains all the expected
items but in any order.
get
By now, it should be clear that JsonPath can be very useful for extracting JSON 'trees' out of a given object. The get
keyword allows you to save the results of a JsonPath expression for later use - which is especially useful for dynamic data-driven testing.
* def cat =
"""
{
name: 'Billie',
kittens: [
{ id: 23, name: 'Bob' },
{ id: 42, name: 'Wild' }
]
}
"""
* def kitnums = get cat.kittens[*].id
* match kitnums == [23, 42]
* def kitnames = get cat $.kittens[*].name
* match kitnames == ['Bob', 'Wild']
get
short-cut
The 'short cut' $variableName
form is also supported. Refer to JsonPath short-cuts for a detailed explanation. So the above could be re-written as follows:
* def kitnums = $cat.kittens[*].id
* match kitnums == [23, 42]
* def kitnames = $cat.kittens[*].name
* match kitnames == ['Bob', 'Wild']
It is worth repeating that the above can be condensed into 2 lines. Note that since only JsonPath is expected on the left-hand-side of the ==
sign of a match
statement, you don't need to prefix the variable reference with $
:
* match cat.kittens[*].id == [23, 42]
* match cat.kittens[*].name == ['Bob', 'Wild']
# if you prefer using 'pure' JsonPath, you can do this
* match cat $.kittens[*].id == [23, 42]
* match cat $.kittens[*].name == ['Bob', 'Wild']
get
plus index
A convenience that the get
syntax supports (but not the $
short-cut form) is to return a single element if the right-hand-side evaluates to a list-like result (e.g. a JSON array). This is useful because the moment you use a wildcard [*]
or search filter in JsonPath (see the next section), you get an array back - even though typically you would only be interested in the first item.
* def actual = 23
# so instead of this
* def kitnums = get cat.kittens[*].id
* match actual == kitnums[0]
# you can do this in one line
* match actual == get[0] cat.kittens[*].id
JsonPath filters
JsonPath filter expressions are very useful for extracting elements that meet some filter criteria out of arrays.
* def cat =
"""
{
name: 'Billie',
kittens: [
{ id: 23, name: 'Bob' },
{ id: 42, name: 'Wild' }
]
}
"""
# find single kitten where id == 23
* def bob = get[0] cat.kittens[?(@.id==23)]
* match bob.name == 'Bob'
# using the karate object if the expression is dynamic
* def temp = karate.jsonPath(cat, "$.kittens[?(@.name=='" + bob.name + "')]")
* match temp[0] == bob
# or alternatively
* def temp = karate.jsonPath(cat, "$.kittens[?(@.name=='" + bob.name + "')]")[0]
* match temp == bob
You usually won't need this, but the second-last line above shows how the karate
object can be used to evaluate JsonPath if the filter expression depends on a variable. If you find yourself struggling to write dynamic JsonPath filters, look at karate.filter()
as an alternative, described just below.
JSON Transforms
Karate supports the following functional-style operations via the JS API - karate.map()
, karate.filter()
and karate.forEach()
. They can be very useful in some situations. A good example is when you have the expected data available as ready-made JSON but it is in a different "shape" from the actual data or HTTP response
. There is also a karate.mapWithKey()
for a common need - which is to convert an array of primitives into an array of objects, which is the form that data driven features expect.
The Graal JS engine that Karate uses supports the full ES6 spec, which means that JSON variables are first-class JS objects, and arrays can be directly looped over or manipulated using map()
, filter()
and forEach()
. And JS "arrow functions" are supported, which makes code much more concise.
A few more useful "transforms" are to select a sub-set of key-value pairs using karate.filterKeys()
, merging 2 or more JSON-s using karate.merge()
and combining 2 or more arrays (or objects) into a single array using karate.append()
. And karate.appendTo()
is for updating an existing variable (the equivalent of array.push()
in JavaScript), which is especially useful in the body of a karate.forEach()
.
You can also sort arrays of arbitrary JSON using karate.sort()
. Simple arrays of strings or numbers can be stripped of duplicates using karate.distinct()
. All JS "native" array operations can be used, such as someName.reverse()
.
Note that a single JS function is sufficient to transform a given JSON object into a completely new one, and you can use complex conditional logic if needed.
Scenario: karate map operation
* def fun = function(x){ return x * x }
* def list = [1, 2, 3]
* def res = karate.map(list, fun)
* match res == [1, 4, 9]
Scenario: js style map operation
* def list = [1, 2, 3]
* def res = list.map(list, x => x * x)
* match res == [1, 4, 9]
Scenario: convert an array into a different shape
* def before = [{ foo: 1 }, { foo: 2 }, { foo: 3 }]
* def fun = function(x){ return { bar: x.foo } }
* def after = karate.map(before, fun)
* match after == [{ bar: 1 }, { bar: 2 }, { bar: 3 }]
Scenario: convert array of primitives into array of objects
* def list = [ 'Bob', 'Wild', 'Nyan' ]
* def data = karate.mapWithKey(list, 'name')
* match data == [{ name: 'Bob' }, { name: 'Wild' }, { name: 'Nyan' }]
Scenario: karate filter operation
* def fun = function(x){ return x % 2 == 0 }
* def list = [1, 2, 3, 4]
* def res = karate.filter(list, fun)
* match res == [2, 4]
Scenario: js style filter operation
* def list = [1, 2, 3, 4]
* def res = list.filter(list, x => x % 2 == 0)
* match res == [2, 4]
Scenario: karate.forEach() works even on object key-values, not just arrays
* def keys = []
* def vals = []
* def idxs = []
* def fun =
"""
function(x, y, i) {
karate.appendTo(keys, x);
karate.appendTo(vals, y);
karate.appendTo(idxs, i);
}
"""
* def map = { a: 2, b: 4, c: 6 }
* karate.forEach(map, fun)
* match keys == ['a', 'b', 'c']
* match vals == [2, 4, 6]
* match idxs == [0, 1, 2]
Scenario: filterKeys
* def schema = { a: '#string', b: '#number', c: '#boolean' }
* def response = { a: 'x', c: true }
# very useful for validating a response against a schema "super-set"
* match response == karate.filterKeys(schema, response)
* match karate.filterKeys(response, 'b', 'c') == { c: true }
* match karate.filterKeys(response, ['a', 'b']) == { a: 'x' }
Scenario: merge
* def foo = { a: 1 }
* def bar = karate.merge(foo, { b: 2 })
* match bar == { a: 1, b: 2 }
Scenario: append
* def foo = [{ a: 1 }]
* def bar = karate.append(foo, { b: 2 })
* match bar == [{ a: 1 }, { b: 2 }]
Scenario: sort
* def foo = [{a: { b: 3 }}, {a: { b: 1 }}, {a: { b: 2 }}]
* def fun = function(x){ return x.a.b }
* def bar = karate.sort(foo, fun)
* match bar == [{a: { b: 1 }}, {a: { b: 2 }}, {a: { b: 3 }}]
* match bar.reverse() == [{a: { b: 3 }}, {a: { b: 2 }}, {a: { b: 1 }}]
Loops
Given the examples above, it has to be said that a best practice with Karate is to avoid JavaScript for
loops as far as possible. A common requirement is to build an array with n
elements or do something n
times where n
is an integer (that could even be a variable reference). This is easily achieved with the karate.repeat()
API:
* def fun = function(i){ return i * 2 }
* def foo = karate.repeat(5, fun)
* match foo == [0, 2, 4, 6, 8]
* def foo = []
* def fun = function(i){ karate.appendTo(foo, i) }
* karate.repeat(5, fun)
* match foo == [0, 1, 2, 3, 4]
# generate test data easily
* def fun = function(i){ return { name: 'User ' + (i + 1) } }
* def foo = karate.repeat(3, fun)
* match foo == [{ name: 'User 1' }, { name: 'User 2' }, { name: 'User 3' }]
# generate a range of numbers as a json array
* def foo = karate.range(4, 9)
* match foo == [4, 5, 6, 7, 8, 9]
And there's also karate.range()
which can be useful to generate test-data.
Don't forget that Karate's data-driven testing capabilities can loop over arrays of JSON objects automatically.
XPath Functions
When handling XML, you sometimes need to call XPath functions, for example to get the count of a node-set. Any valid XPath expression is allowed on the left-hand-side of a match
statement.
* def foo =
"""
<records>
<record index="1">a</record>
<record index="2">b</record>
<record index="3" foo="bar">c</record>
</records>
"""
* match foo count(/records//record) == 3
* match foo //record[@index=2] == 'b'
* match foo //record[@foo='bar'] == 'c'
Advanced XPath
Some XPath expressions return a list of nodes (instead of a single node). But since you can express a list of data-elements as a JSON array - even these XPath expressions can be used in match
statements.
* def teachers =
"""
<teachers>
<teacher department="science">
<subject>math</subject>
<subject>physics</subject>
</teacher>
<teacher department="arts">
<subject>political education</subject>
<subject>english</subject>
</teacher>
</teachers>
"""
* match teachers //teacher[@department='science']/subject == ['math', 'physics']
If your XPath is dynamic and has to be formed 'on the fly' perhaps by using some variable derived from previous steps, you can use the karate.xmlPath()
helper:
* def xml = <query><name><foo>bar</foo></name></query>
* def elementName = 'name'
* def name = karate.xmlPath(xml, '/query/' + elementName + '/foo')
* match name == 'bar'
* def queryName = karate.xmlPath(xml, '/query/' + elementName)
* match queryName == <name><foo>bar</foo></name>
You can refer to this file (which is part of the Karate test-suite) for more XML examples: xml-and-xpath.feature
Special Variables
These are 'built-in' variables, there are only a few and all of them give you access to the HTTP response.
response
After every HTTP call this variable is set with the response body, and is available until the next HTTP request over-writes it. You can easily assign the whole response
(or just parts of it using Json-Path or XPath) to a variable, and use it in later steps.
The response is automatically available as a JSON, XML or String object depending on what the response contents are.
As a short-cut, when running JsonPath expressions - $
represents the response
. This has the advantage that you can use pure JsonPath and be more concise. For example:
# the three lines below are equivalent
Then match response $ == { name: 'Billie' }
Then match response == { name: 'Billie' }
Then match $ == { name: 'Billie' }
# the three lines below are equivalent
Then match response.name == 'Billie'
Then match response $.name == 'Billie'
Then match $.name == 'Billie'
And similarly for XML and XPath, '/' represents the response
# the four lines below are equivalent
Then match response / == <cat><name>Billie</name></cat>
Then match response/ == <cat><name>Billie</name></cat>
Then match response == <cat><name>Billie</name></cat>
Then match / == <cat><name>Billie</name></cat>
# the three lines below are equivalent
Then match response /cat/name == 'Billie'
Then match response/cat/name == 'Billie'
Then match /cat/name == 'Billie'
JsonPath short-cuts
The $varName
form is used on the right-hand-side of Karate expressions and is slightly different from pure JsonPath expressions which always begin with $.
or $[
. Here is a summary of what the different 'shapes' mean in Karate:
Shape | Description |
---|---|
$.bar |
Pure JsonPath equivalent of $response.bar where response is a JSON object |
$[0] |
Pure JsonPath equivalent of $response[0] where response is a JSON array |
$foo.bar |
Evaluates the JsonPath $.bar on the variable foo which is a JSON object or map-like |
$foo[0] |
Evaluates the JsonPath $[0] on the variable foo which is a JSON array or list-like |
There is no need to prefix variable names with
$
on the left-hand-side ofmatch
statements because it is implied. You can if you want to, but since only JsonPath (on variables) is allowed here, Karate ignores the$
and looks only at the variable name. None of the examples in the documentation use the$varName
form on the LHS, and this is the recommended best-practice.
responseBytes
This will always hold the contents of the response as a byte-array. This is rarely used, unless you are expecting binary content returned by the server. The match
keyword will work as you expect. Here is an example: binary.feature
.
responseCookies
The responseCookies
variable is set upon any HTTP response and is a map-like (or JSON-like) object. It can be easily inspected or used in expressions.
* assert responseCookies['my.key'].value == 'someValue'
# karate's unified data handling means that even 'match' works
* match responseCookies contains { time: '#notnull' }
# ... which means that checking if a cookie does NOT exist is a piece of cake
* match responseCookies !contains { blah: '#notnull' }
# save a response cookie for later use
* def time = responseCookies.time.value
As a convenience, cookies from the previous response are collected and passed as-is as part of the next HTTP request. This is what is normally expected and simulates a web-browser - which makes it easy to script things like HTML-form based authentication into test-flows. Refer to the documentation for cookie
for details and how you can disable this if need be.
Each item within responseCookies
is itself a 'map-like' object. Typically you would examine the value
property as in the example above, but domain
and path
are also available.
responseHeaders
See also match header
which is what you would normally need.
But if you need to use values in the response headers - they will be in a variable named responseHeaders
. Note that it is a 'map of lists' so you will need to do things like this:
* def contentType = responseHeaders['Content-Type'][0]
And just as in the responseCookies
example above, you can use match
to run complex validations on the responseHeaders
.
Finally, using karate.response.header(name)
can be simpler to just get a header value string by name, and it will ignore-case for the name passed as the argument:
* match karate.response.header('content-type') == 'application/json'
responseStatus
You would normally only need to use the status
keyword. But if you really need to use the HTTP response code in an expression or save it for later, you can get it as an integer:
* def uploadStatusCode = responseStatus
# check if the response status is either of two values
Then assert responseStatus == 200 || responseStatus == 204
Note that match
can give you some extra readable options:
* match [200, 201, 204] contains responseStatus
# this may be sufficient to check a range of values
* assert responseStatus >= 200
* assert responseStatus < 300
# but using karate.range() you can even do this !
* match karate.range(200, 299) contains responseStatus
responseTime
The response time (in milliseconds) for the current response
would be available in a variable called responseTime
. You can use this to assert that it was returned within the expected time like so:
When method post
Then status 201
And assert responseTime < 1000
responseType
Karate will attempt to parse the raw HTTP response body as JSON or XML and make it available as the response
value. If parsing fails, Karate will log a warning and the value of response
will then be a plain string. You can still perform string comparisons such as a match contains
and look for error messages etc. In rare cases, you may want to check what the "type" of the response
is and it can be one of 3 different values: json
, xml
and string
.
So if you really wanted to assert that the HTTP response body is well-formed JSON or XML you can do this:
When method post
Then status 201
And match responseType == 'json'
requestTimeStamp
Very rarely used - but you can get the Java system-time (for the current response
) at the point when the HTTP request was initiated (the value of System.currentTimeMillis()
) which can be used for detailed logging or custom framework / stats calculations.
HTTP Header Manipulation
configure headers
Custom header manipulation for every HTTP request is something that Karate makes very easy and pluggable. For every HTTP request made from Karate, the internal flow is as follows:
- did we
configure
the value ofheaders
? - if so, is the configured value a JavaScript function ?
- if so, a
call
is made to that function. - did the function invocation return a map-like (or JSON) object ?
- all the key-value pairs are added to the HTTP headers.
- if so, a
- or is the configured value a JSON object ?
- all the key-value pairs are added to the HTTP headers.
This makes setting up of complex authentication schemes for your test-flows really easy. It typically ends up being a one-liner that appears in the Background
section at the start of your test-scripts. You can re-use the function you create across your whole project.
Here is an example JavaScript function that uses some variables in the context (which have been possibly set as the result of a sign-in) to build the Authorization
header. Note how even calls to Java code can be made if needed.
In the example below, note the use of the
karate.get()
helper for getting the value of a dynamic variable (which was not set at the time this JSfunction
was declared). This is preferred because it takes care of situations such as if the value isundefined
in JavaScript. In rare cases you may need to set a variable from this routine, and a good example is to make the generated UUID "visible" to the currently executing script or feature. You can easily do this viakarate.set('someVarName', value)
.
function fn() {
var uuid = '' + java.util.UUID.randomUUID(); // convert to string
var out = { // so now the txid_header would be a unique uuid for each request
txid_header: uuid,
ip_header: '123.45.67.89', // hard coded here, but also can be as dynamic as you want
};
var authString = '';
var authToken = karate.get('authToken'); // use the 'karate' helper to do a 'safe' get of a 'dynamic' variable
if (authToken) { // and if 'authToken' is not null ...
authString = ',auth_type=MyAuthScheme'
+ ',auth_key=' + authToken.key
+ ',auth_user=' + authToken.userId
+ ',auth_project=' + authToken.projectId;
}
// the 'appId' variable here is expected to have been set via karate-config.js (bootstrap init) and will never change
out['Authorization'] = 'My_Auth app_id=' + appId + authString;
return out;
}
Assuming the above code is in a file called my-headers.js
, the next section on calling other feature files shows how it looks like in action at the beginning of a test script.
Notice how once the authToken
variable is initialized, it is used by the above function to generate headers for every HTTP call made as part of the test flow.
If a few steps in your flow need to temporarily change (or completely bypass) the currently-set header-manipulation scheme, just update configure headers
to a new value (or set it to null
) in the middle of a script. Then use the header
keyword to do a custom 'over-ride' if needed.
The karate-demo has an example showing various ways to configure
or set headers: headers.feature
The karate
object
A JavaScript function or Karate expression at runtime has access to a utility object in a variable named: karate
. This provides the following methods:
Operation | Description |
---|---|
karate.abort() | you can prematurely exit a Scenario by combining this with conditional logic like so: * if (condition) karate.abort() - please use sparingly ! and also see configure abortedStepsShouldPass |
karate.append(... items) | useful to create lists out of items (which can be lists as well), see JSON transforms |
karate.appendTo(name, ... items) | useful to append to a list-like variable (that has to exist) in scope, see JSON transforms - the first argument can be a reference to an array-like variable or even the name (string) of an existing variable which is list-like |
karate.compareImage(baseline, latest, [options]) | compare two images the same way that compareImage works (with an optional options argument), returns an object with the following keys: baseline , latest , mismatchPercentage , engine , failureThreshold and optionally: error , isBaselineMissing , isScaleMismatch , isMismatch , resembleMismatchPercentage , ssimMismatchPercentage |
karate.call(fileName, [arg]) | invoke a *.feature file or a JavaScript function the same way that call works (with an optional solitary argument), see call() vs read() for details |
karate.callSingle(fileName, [arg]) | like the above, but guaranteed to run only once even across multiple features - see karate.callSingle() |
karate.configure(key, value) | does the same thing as the configure keyword, and a very useful example is to do karate.configure('connectTimeout', 5000); in karate-config.js - which has the 'global' effect of not wasting time if a connection cannot be established within 5 seconds |
karate.distinct(list) | returns only unique items out of an array of strings or numbers |
karate.doc(arg) | just like karate.render() but will insert the HTML into the report |
karate.embed(object, mimeType) | embeds the object (can be raw bytes or an image) into the JSON report output, see this example |
karate.env | gets the value (read-only) of the environment property 'karate.env', and this is typically used for bootstrapping configuration |
karate.eval(expression) | for really advanced needs, you can programmatically generate a snippet of JavaScript which can be evaluated at run-time, you can find an example here |
karate.exec(command) | convenient way to execute an OS specific command and return the console output e.g. karate.exec('some.exe -h') (or karate.exec(['some.exe', '-h']) ) useful for calling non-Java code (that can even return data) or for starting user-interfaces to be automated, this command will block until the process terminates, also see karate.fork() |
karate.extract(text, regex, group) | useful to "scrape" text out of non-JSON or non-XML text sources such as HTML, group follows the Java regex rules, see this example |
karate.extractAll(text, regex, group) | like the above, but returns a list of text-matches |
karate.fail(message) | if you want to conditionally stop a test with a descriptive error message, e.g. * if (condition) karate.fail('we expected something else') |
karate.feature | get metadata about the currently executing feature within a test |
karate.filter(list, predicate) | functional-style 'filter' operation useful to filter list-like objects (e.g. JSON arrays), see example, the second argument has to be a JS function (item, [index]) that returns a boolean |
karate.filterKeys(map, keys) | extracts a sub-set of key-value pairs from the first argument, the second argument can be a list (or varargs) of keys - or even another JSON where only the keys would be used for extraction, example |
karate.forEach(list, function) |
functional-style 'loop' operation useful to traverse list-like (or even map-like) objects (e.g. JSON / arrays), see example, the second argument has to be a JS function (item, [index]) for lists and (key, [value], [index]) for JSON / maps |
karate.fork(map) | executes an OS command, but forks a process in parallel and will not block the test like karate.exec() e.g. karate.fork({ args: ['some.exe', '-h'] }) or karate.fork(['some.exe', '-h']) - you can use a composite string as line (or the solitary argument e.g. karate.fork('some.exe -h') ) instead of args , and an optional workingDir string property and env JSON / map is also supported - this returns a Command object which has operations such as waitSync() and close() if you need more control, more details here |
karate.fromString(string) | for advanced conditional logic for e.g. when a string coming from an external process is dynamic - and whether it is JSON or XML is not known in advance, see example |
karate.get(name, [default]) | get the value of a variable by name (or JsonPath expression), if not found - this returns null which is easier to handle in JavaScript (than undefined ), and an optional (literal / constant) second argument can be used to return a "default" value, very useful to set variables in called features that have not been pre-defined |
karate.http(url) | returns a convenience Http request builder class, only recommended for advanced use |
karate.jsonPath(json, expression) | brings the power of JsonPath into JavaScript, and you can find an example here. |
karate.keysOf(object) | returns only the keys of a map-like object |
karate.log(... args) | log to the same logger (and log file) being used by the parent process, logging can be suppressed with configure printEnabled set to false , and just like print - use comma-separated values to "pretty print" JSON or XML |
karate.logger.debug(... args) | access to the Karate logger directly and log in debug. Might be desirable instead of karate.log or print when looking to reduce the logs in console in your CI/CD pipeline but still retain the information for reports. See Logging for additional details. |
karate.lowerCase(object) | useful to brute-force all keys and values in a JSON or XML payload to lower-case, useful in some cases, see example |
karate.map(list, function) | functional-style 'map' operation useful to transform list-like objects (e.g. JSON arrays), see example, the second argument has to be a JS function (item, [index]) |
karate.mapWithKey(list, string) | convenient for the common case of transforming an array of primitives into an array of objects, see JSON transforms |
karate.match(actual, expected) | brings the power of the fuzzy match syntax into Karate-JS, returns a JSON in the form { pass: '#boolean', message: '#string' } and you can find an example here - you can even place a full match expression like this: karate.match("each foo contains { a: '#number' }") |
karate.merge(... maps) | useful to merge the key-values of two (or more) JSON (or map-like) objects, see JSON transforms |
karate.os | returns the operating system details as JSON, for e.g. { type: 'macosx', name: 'Mac OS X' } - useful for writing conditional logic, the possible type -s being: macosx , windows , linux and unknown |
karate.pause(number) | sleep time in milliseconds, relevant only for performance-testing - and will be a no-op otherwise unless configure pauseIfNotPerf is true |
karate.pretty(value) | return a 'pretty-printed', nicely indented string representation of the JSON value, also see: print |
karate.prettyXml(value) | return a 'pretty-printed', nicely indented string representation of the XML value, also see: print |
karate.prevRequest | for advanced users, you can inspect the actual HTTP request after it happens, useful if you are writing a framework over Karate, refer to this example: request.feature |
karate.properties[key] | get the value of any Java system-property by name, useful for advanced custom configuration |
karate.range(start, end, [interval]) | returns a JSON array of integers (inclusive), the optional third argument must be a positive integer and defaults to 1, and if start < end the order of values is reversed |
karate.read(filename) | the same read() function - which is pre-defined even within JS blocks, so there is no need to ever do karate.read() , and just read() is sufficient |
karate.readAsBytes(filename) | rarely used, like karate.readAsString - but returns a byte array |
karate.readAsStream(filename) | rarely used, like karate.readAsString - but returns a Java InputStream |
karate.readAsString(filename) | rarely used, behaves exactly like read - but does not auto convert to JSON or XML |
karate.remove(name, path) | very rarely used - when needing to perform conditional removal of JSON keys or XML nodes. Behaves the same way as the remove keyword. |
karate.render(arg) | renders an HTML template, the arg can be a string (prefixable path to the HTML) or a JSON that takes either a path or html property, see doc |
karate.repeat(count, function) | useful for building an array with count items or doing something count times, see loops. |
karate.response | returns the last HTTP response as a JS object that enables advanced use-cases such as getting a header ignoring case: karate.response.header('some-header') |
karate.request | returns the last HTTP request as a JS object that enables advanced use-cases such as getting a header ignoring case: karate.request.header('some-header') , which works even in mocks |
karate.scenario | get metadata about the currently executing Scenario (or Outline - Example ) within a test |
karate.set(name, value) | sets the value of a variable (immediately), which may be needed in case any other routines (such as the configured headers) depend on that variable |
karate.set(object) | where the single argument is expected to be a Map or JSON-like, and will perform the above karate.set() operation for all key-value pairs in one-shot |
karate.set(name, path, value) | only needed when you need to conditionally build payload elements, especially XML. This is best explained via an example, and it behaves the same way as the set keyword. Also see eval . |
karate.setXml(name, xmlString) | rarely used, refer to the example above |
karate.setup([name]) | call a Scenario tagged with the built-in @setup annotation |
karate.setupOnce([name]) | like karate.setup() above, but cache the result so that the "setup" runs only once |
karate.signal(result) | trigger an event that karate.listen(timeout) is waiting for, and pass the data, see async |
karate.sizeOf(object) | returns the size of the map-like or list-like object |
karate.sort(list, function) | sorts the list using the provided custom function called for each item in the list (and the optional second argument is the item index) e.g. karate.sort(myList, x => x.val) , and the second / function argument is not needed if the list is of plain strings or numbers |
karate.start() | only for starting a mock from within a test / feature file see mocks |
karate.stop(port) | will pause the test execution until a socket connection (even HTTP GET ) is made to the port logged to the console, useful for troubleshooting UI tests without using a de-bugger, of course - NEVER forget to remove this after use ! |
karate.target(object) | currently for web-ui automation only, see target lifecycle |
karate.tags | for advanced users - scripts can introspect the tags that apply to the current scope, refer to this example: tags.feature |
karate.tagValues | for even more advanced users - Karate natively supports tags in a @name=val1,val2 format, and there is an inheritance mechanism where Scenario level tags can over-ride Feature level tags, refer to this example: tags.feature |
karate.toAbsolutePath(relativePath) | when you want to get the absolute OS path to the argument which could even have a prefix such as classpath: , e.g. karate.toAbsolutePath('some.json') |
karate.toBean(json, className) | converts a JSON string or map-like object into a Java object, given the Java class name as the second argument, refer to this file for an example |
karate.toCsv(list) | converts a JSON array (of objects) or a list-like object into a CSV string, writing this to a file is your responsibility or you could use karate.write() |
karate.toJava(function) | rarely used, when you need to pass a JS function to custom Java code, typically for Async, and another edge case is to convert a JSON array or object to a Java List or Map , see example |
karate.toJavaFile(path) | in case you need a java.io.File instance to pass to Java interop, takes the Karate prefixes such as classpath: for convenience |
karate.toJson(object) | converts a Java object into JSON, and karate.toJson(object, true) will strip all keys that have null values from the resulting JSON, convenient for unit-testing Java code, see example |
karate.typeOf(any) | for advanced conditional logic when object types are dynamic and not known in advance, see example |
karate.urlDecode(string) | URL decode |
karate.urlEncode(string) | URL encode |
karate.valuesOf(object) | returns only the values of a map-like object (or itself if a list-like object) |
karate.waitForHttp(url) | will wait until the URL is ready to accept HTTP connections |
karate.waitForPort(host, port) | will wait until the host:port is ready to accept socket connections |
karate.webSocket(url, handler) | see websocket |
karate.write(object, path) | normally not recommended, please read this first - writes the bytes of object to a path which will always be relative to the "build" directory (typically target ), see this example: embed-pdf.js - and this method returns a java.io.File reference to the file created / written to |
karate.xmlPath(xml, expression) | Just like karate.jsonPath() - but for XML, and allows you to use dynamic XPath if needed, see example. |
Code Reuse / Common Routines
call
In any complex testing endeavor, you would find yourself needing 'common' code that needs to be re-used across multiple test scripts. A typical need would be to perform a 'sign in', or create a fresh user as a pre-requisite for the scenarios being tested.
There are two types of code that can be call
-ed. *.feature
files and JavaScript functions.
Calling other *.feature
files
When you have a sequence of HTTP calls that need to be repeated for multiple test scripts, Karate allows you to treat a *.feature
file as a re-usable unit. You can also pass parameters into the *.feature
file being called, and extract variables out of the invocation result.
Here is an example of using the call
keyword to invoke another feature file, loaded using the read
function:
If you find this hard to understand at first, try looking at this set of examples.
Feature: which makes a 'call' to another re-usable feature
Background:
* configure headers = read('classpath:my-headers.js')
* def signIn = call read('classpath:my-signin.feature') { username: 'john', password: 'secret' }
* def authToken = signIn.authToken
Scenario: some scenario
# main test steps
Note that
def
can be used to assign a feature to a variable. For example look at how "creator
" has been defined in theBackground
in this example, and used later in acall
statement. This is very close to how "custom keywords" work in other frameworks. See this other example for more ideas:dsl.feature
.
The contents of my-signin.feature
are shown below. A few points to note:
- Karate creates a new 'context' for the feature file being invoked but passes along all variables and configuration. This means that all your config variables and
configure
settings would be available to use, for exampleloginUrlBase
in the example below. - When you use
def
in the 'called' feature, it will not over-write variables in the 'calling' feature (unless you explicitly choose to use shared scope). But note that JSON, XML, Map-like or List-like variables are 'passed by reference' which means that 'called' feature steps can update or 'mutate' them using theset
keyword. Use thecopy
keyword to 'clone' a JSON or XML payload if needed, and refer to this example for more details:copy.feature
. - You can add (or over-ride) variables by passing a call 'argument' as shown above. Only one JSON argument is allowed, but this does not limit you in any way as you can use any complex JSON structure. You can even initialize the JSON in a separate step and pass it by name, especially if it is complex. Observe how using JSON for parameter-passing makes things super-readable. In the 'called' feature, the argument can also be accessed using the built-in variable:
__arg
. - All variables that were defined (using
def
) in the 'called' script would be returned as 'keys' within a JSON-like object. Note that this includes 'built-in' variables, which means that things like the last value ofresponse
would also be present. In the example above you can see that the JSON 'envelope' returned - is assigned to the variable namedsignIn
. And then getting hold of any data that was generated by the 'called' script is as simple as accessing it by name, for examplesignIn.authToken
as shown above. This design has the following advantages:- 'called' Karate scripts don't need to use any special keywords to 'return' data and can behave like 'normal' Karate tests in 'stand-alone' mode if needed
- the data 'return' mechanism is 'safe', there is no danger of the 'called' script over-writing any variables in the 'calling' (or parent) script (unless you use shared scope)
- the need to explicitly 'unpack' variables by name from the returned 'envelope' keeps things readable and maintainable in the 'caller' script
Note that only variables and configuration settings will be passed. You can't do things such as
* url 'http://foo.bar'
and expect the URL to be set in the "called" feature. Use a variable in the "called" feature instead, for e.g.* url myUrl
or take a look atconfigure url
.
Feature: here are the contents of 'my-signin.feature'
Scenario:
Given url loginUrlBase
And request { userId: '#(username)', userPass: '#(password)' }
When method post
Then status 200
And def authToken = response
# second HTTP call, to get a list of 'projects'
Given path 'users', authToken.userId, 'projects'
When method get
Then status 200
# logic to 'choose' first project
And set authToken.projectId = response.projects[0].projectId;
The above example actually makes two HTTP requests - the first is a standard 'sign-in' POST and then (for illustrative purposes) another HTTP call (a GET) is made for retrieving a list of projects for the signed-in user, and the first one is 'selected' and added to the returned 'auth token' JSON object.
So you get the picture, any kind of complicated 'sign-in' flow can be scripted and re-used.
If the second HTTP call above expects headers to be set by
my-headers.js
- which in turn depends on theauthToken
variable being updated, you will need to duplicate the line* configure headers = read('classpath:my-headers.js')
from the 'caller' feature here as well. The above example does not use shared scope, which means that the variables in the 'calling' (parent) feature are not shared by the 'called'my-signin.feature
. The above example can be made more simpler with the use ofcall
(orcallonce
) without adef
-assignment to a variable, and is the recommended pattern for implementing re-usable authentication setup flows.
Do look at the documentation and example for configure headers
also as it goes hand-in-hand with call
. In the above example, the end-result of the call
to my-signin.feature
resulted in the authToken
variable being initialized. Take a look at how the configure headers
example uses the authToken
variable.
Call Tag Selector
You can "select" a single Scenario
(or Scenario
-s or Scenario Outline
-s or even specific Examples
rows) by appending a "tag selector" at the end of the feature-file you are calling. For example:
call read('classpath:my-signin.feature@name=someScenarioName')
While the tag does not need to be in the @key=value
form, it is recommended for readability when you start getting into the business of giving meaningful names to your Scenario
-s.
This "tag selection" capability is designed for you to be able to "compose" flows out of existing test-suites when using the Karate Gatling integration. Normally we recommend that you keep your "re-usable" features lightweight - by limiting them to just one Scenario
.
Call Same Feature
As a convenience, you can call a tag directly, which is a short-cut to call another Scenario
within the same feature file. Note that you would typically want to use the @ignore
tag for such cases.
Scenario: one
* call read('@two')
@ignore @two
Scenario: two
* print 'called'
Data-Driven Features
If the argument passed to the call of a *.feature
file is a JSON array, something interesting happens. The feature is invoked for each item in the array. Each array element is expected to be a JSON object, and for each object - the behavior will be as described above.
But this time, the return value from the call
step will be a JSON array of the same size as the input array. And each element of the returned array will be the 'envelope' of variables that resulted from each iteration where the *.feature
got invoked.
Here is an example that combines the table
keyword with calling a *.feature
. Observe how the get
shortcut is used to 'distill' the result array of variable 'envelopes' into an array consisting only of response
payloads.
* table kittens
| name | age |
| 'Bob' | 2 |
| 'Wild' | 1 |
| 'Nyan' | 3 |
* def result = call read('cat-create.feature') kittens
* def created = $result[*].response
* match each created == { id: '#number', name: '#string', age: '#number' }
* match created[*].name contains only ['Bob', 'Wild', 'Nyan']
And here is how cat-create.feature
could look like:
@ignore
Feature:
Scenario:
Given url someUrlFromConfig
And path 'cats'
And request { name: '#(name)', age: '#(age)' }
When method post
Then status 200
If you replace the table
with perhaps a JavaScript function call that gets some JSON data from some data-source, you can imagine how you could go about dynamic data-driven testing.
Although it is just a few lines of code, take time to study the above example carefully. It is a great example of how to effectively use the unique combination of syntax and JsonPath that Karate provides.
Also look at the demo examples, especially dynamic-params.feature
- to compare the above approach with how the Gherkin Scenario Outline:
can be alternatively used for data-driven tests.
Built-in variables for call
Although all properties in the passed JSON-like argument are 'unpacked' into the current scope as separate 'named' variables, it sometimes makes sense to access the whole argument and this can be done via __arg
. And if being called in a loop, a built-in variable called __loop
will also be available that will hold the value of the current loop index. So you can do things like this: * def name = name + __loop
- or you can use the loop index value for looking up other values that may be in scope - in a data-driven style.
Variable | Refers To |
---|---|
__arg |
the single call (or callonce ) argument, will be null if there was none |
__loop |
the current iteration index (starts from 0) if being called in a loop, will be -1 if not |
Refer to this demo feature for an example: kitten-create.feature
Default Values
Some users need "callable" features that are re-usable even when variables have not been defined by the calling feature. Normally an undefined variable results in nasty JavaScript errors. But there is an elegant way you can specify a default value using the karate.get()
API:
# if foo is not defined, it will default to 42
* def foo = karate.get('foo', 42)
A word of caution: we recommend that you should not over-use Karate's capability of being able to re-use features. Re-use can sometimes result in negative benefits - especially when applied to test-automation. Prefer readability over re-use. See this for an example.
copy
For a call
(or callonce
) - payload / data structures (JSON, XML, Map-like or List-like) variables are 'passed by reference' which means that steps within the 'called' feature can update or 'mutate' them, for e.g. using the set
keyword. This is actually the intent most of the time and is convenient. If you want to pass a 'clone' to a 'called' feature, you can do so using the rarely used copy
keyword that works very similar to type conversion. This is best explained in this example: copy.feature
.
Calling JavaScript Functions
Examples of defining and using JavaScript functions appear in earlier sections of this document. Being able to define and re-use JavaScript functions is a powerful capability of Karate. For example, you can:
- call re-usable functions that take complex data as an argument and return complex data that can be stored in a variable
- call and interoperate with Java code if needed
- share and re-use test utilities or 'helper' functionality across your organization
For an advanced example of how you can build and re-use a common set of JS functions, refer to this answer on Stack Overflow.
In real-life scripts, you would typically also use this capability of Karate to configure headers
where the specified JavaScript function uses the variables that result from a sign in to manipulate headers for all subsequent HTTP requests. And it is worth mentioning that the Karate configuration 'bootstrap' routine is itself a JavaScript function.
Also refer to the
eval
keyword for a simpler way to execute arbitrary JavaScript that can be useful in some situations.
JS function argument rules for call
When using call
(or callonce
), only one argument is allowed. But this does not limit you in any way, because similar to how you can call *.feature files
, you can pass a whole JSON object as the argument. In the case of the call
of a JavaScript function, you can also pass a JSON array or a primitive (string, number, boolean) as the solitary argument, and the function implementation is expected to handle whatever is passed.
Instead of using call
(or callonce
) you are always free to call JavaScript functions 'normally' and then you can use more than one argument.
* def adder = function(a, b){ return a + b }
* assert adder(1, 2) == 3
Return types
Naturally, only one value can be returned. But again, you can return a JSON object. There are two things that can happen to the returned value.
Either - it can be assigned to a variable like so.
* def returnValue = call myFunction
Or - if a call
is made without an assignment, and if the function returns a map-like object, it will add each key-value pair returned as a new variable into the execution context.
# while this looks innocent ...
# ... behind the scenes, it could be creating (or over-writing) a bunch of variables !
* call someFunction
While this sounds dangerous and should be used with care (and limits readability), the reason this feature exists is to quickly set (or over-write) a bunch of config variables when needed. In fact, this is the mechanism used when karate-config.js
is processed on start-up.
Shared Scope
This behavior where all key-value pairs in the returned map-like object get automatically added as variables - applies to the calling of *.feature
files as well. In other words, when call
or callonce
is used without a def
, the 'called' script not only shares all variables (and configure
settings) but can update the shared execution context. This is very useful to boil-down those 'common' steps that you may have to perform at the start of multiple test-scripts - into one-liners. But use wisely, because called scripts will now over-write variables that may have been already defined.
* def config = { user: 'john', password: 'secret' }
# this next line may perform many steps and result in multiple variables set for the rest of the script
* call read('classpath:common-setup.feature') config
You can use callonce
instead of call
within the Background
in case you have multiple Scenario
sections or Examples
. Note the 'inline' use of the read function as a short-cut above. This applies to JS functions as well:
* call read('my-function.js')
These heavily commented demo examples can help you understand 'shared scope' better, and are designed to get you started with creating re-usable 'sign-in' or authentication flows:
Scope | Caller Feature | Called Feature |
---|---|---|
Isolated | call-isolated-headers.feature |
common-multiple.feature |
Shared | call-updates-config.feature |
common.feature |
Once you get comfortable with Karate, you can consider moving your authentication flow into a 'global' one-time flow using
karate.callSingle()
, think of it as 'callonce
on steroids'.
call
vs read()
Since this is a frequently asked question, the different ways of being able to re-use code (or data) are summarized below.
Code | Description |
---|---|
* def login = read('login.feature') * call login |
Shared Scope, and the login variable can be re-used |
* call read('login.feature') |
short-cut for the above without needing a variable |
* def credentials = read('credentials.json') * def login = read('login.feature') * call login credentials |
Note how using read() for a JSON file returns data - not "callable" code, and here it is used as the call argument |
* call read('login.feature') read('credentials.json') |
You can do this in theory, but it is not as readable as the above |
* karate.call('login.feature') |
The JS API allows you to do this, but this will not be Shared Scope |
* def result = call read('login.feature') |
call result assigned to a variable and not Shared Scope |
* def result = karate.call('login.feature') |
exactly equivalent to the above ! |
* if (cond) karate.call(true, 'login.feature') |
if you need conditional logic and Shared Scope, add a boolean true first argument |
* def credentials = read('credentials.json') * def result = call read('login.feature') credentials |
like the above, but with a call argument |
* def credentials = read('credentials.json') * def result = karate.call('login.feature', credentials) |
like the above, but in JS API form, the advantage of the above form is that using an in-line argument is less "cluttered" (see next row) |
* def login = read('login.feature') * def result = call login { user: 'john', password: 'secret' } |
using the call keyword makes passing an in-line JSON argument more "readable" |
* call read 'credentials.json' |
Since "read " happens to be a function (that takes a single string argument), this has the effect of loading all keys in the JSON fileinto Shared Scope as variables ! This can be sometimes handy. |
* call read ('credentials.json') |
A common mistake. First, there is no meaning in call for JSON. Second, the space after the "read " makes this equal to the above. |
* karate.set(read('credentials.json')) |
For completeness - this has exactly the same effect as the above two rows ! |
Calling Java
There are examples of calling JVM classes in the section on Java Interop and in the file-upload demo. Also look at the section on commonly needed utilities for more ideas.
Calling any Java code is that easy. Given this custom, user-defined Java class:
package com.mycompany;
import java.util.HashMap;
import java.util.Map;
public class JavaDemo {
public Map<String, Object> doWork(String fromJs) {
Map<String, Object> map = new HashMap<>();
map.put("someKey", "hello " + fromJs);
return map;
}
public static String doWorkStatic(String fromJs) {
return "hello " + fromJs;
}
}
This is how it can be called from a test-script via JavaScript, and yes, even static methods can be invoked:
* def doWork =
"""
function(arg) {
var JavaDemo = Java.type('com.mycompany.JavaDemo');
var jd = new JavaDemo();
return jd.doWork(arg);
}
"""
# in this case the solitary 'call' argument is of type string
* def result = call doWork 'world'
* match result == { someKey: 'hello world' }
# using a static method - observe how java interop is truly seamless !
* def JavaDemo = Java.type('com.mycompany.JavaDemo')
* def result = JavaDemo.doWorkStatic('world')
* assert result == 'hello world'
Note that JSON gets auto-converted to Map
(or List
) when making the cross-over to Java. Refer to the cats-java.feature
demo for an example.
An additional-level of auto-conversion happens when objects cross the boundary between JS and Java. In the rare case that you need to mutate a
Map
orList
returned from Java but while still within a JS block, usekarate.toJson()
to convert.
Another example is dogs.feature
- which actually makes JDBC (database) calls, and since the data returned from the Java code is JSON, the last section of the test is able to use match
very effectively for data assertions.
Good examples of how you can extend Karate, even bypass the HTTP client - but still use Karate's test-automation effectively, are the following:
HTTP Basic Authentication Example
This should make it clear why Karate does not provide 'out of the box' support for any particular HTTP authentication scheme. Things are designed so that you can plug-in what you need, without needing to compile Java code. You get to choose how to manage your environment-specific configuration values such as user-names and passwords.
First the JavaScript file, basic-auth.js
:
function fn(creds) {
var temp = creds.username + ':' + creds.password;
var Base64 = Java.type('java.util.Base64');
var encoded = Base64.getEncoder().encodeToString(temp.toString().getBytes());
return 'Basic ' + encoded;
}
And here's how it works in a test-script using the header
keyword.
* header Authorization = call read('basic-auth.js') { username: 'john', password: 'secret' }
You can set this up for all subsequent requests or dynamically generate headers for each HTTP request if you configure headers
.
callonce
Cucumber has a limitation where Background
steps are re-run for every Scenario
. And if you have a Scenario Outline
, this happens for every row in the Examples
. This is a problem especially for expensive, time-consuming HTTP calls, and this has been an open issue for a long time.
Karate's callonce
keyword behaves exactly like call
but is guaranteed to execute only once. The results of the first call are cached, and any future calls will simply return the cached result instead of executing the JavaScript function (or feature) again and again.
This does require you to move 'set-up' into a separate *.feature
(or JavaScript) file. But this totally makes sense for things not part of the 'main' test flow and which typically need to be re-usable anyway.
So when you use the combination of callonce
in a Background
, you can indeed get the same effect as using a @BeforeAll
annotation, and you can find examples in the karate-demo, such as this one: callonce.feature
.
A callonce
is ideally used for only "pure" JSON. You may face issues if you attempt to mix in JS functions or Java code. See karate.callSingle()
.
eval
This is for evaluating arbitrary JavaScript and you are advised to use this only as a last resort ! Conditional logic is not recommended especially within test scripts because tests should be deterministic.
There are a few situations where this comes in handy:
- you really don't need to assign a result to a variable
- statements in the
if
form (also see conditional logic) - 'one-off' logic (or Java interop) where you don't need the 'ceremony' of a re-usable function
- JavaScript / JSON-style mutation of existing variables as a dynamic alternative to
set
andremove
- by usingkarate.set()
andkarate.remove()
.
# just perform an action, we don't care about saving the result
* eval myJavaScriptFunction()
# do something only if a condition is true
* eval if (zone == 'zone1') karate.set('temp', 'after')
As a convenience, you can omit the eval
keyword and so you can shorten the above to:
* myJavaScriptFunction()
* if (zone == 'zone1') karate.set('temp', 'after')
This is very convenient especially if you are calling a method on a variable that has been defined such as the karate
object, and for general-purpose scripting needs such as UI automation. Note how karate.set()
and karate.remove()
below are used directly as a script "statement".
# you can use multiple lines of JavaScript if needed
* eval
"""
var foo = function(v){ return v * v };
var nums = [0, 1, 2, 3, 4];
var squares = [];
for (var n in nums) {
squares.push(foo(n));
}
karate.set('temp', squares);
"""
* match temp == [0, 1, 4, 9, 16]
* def json = { a: 1 }
* def key = 'b'
# use dynamic path expressions to mutate json
* json[key] = 2
* match json == { a: 1, b: 2 }
* karate.remove('json', key)
* match json == { a: 1 }
* karate.set('json', '$.c[]', { d: 'e' })
* match json == { a: 1, c: [{ d: 'e' }] }
Advanced / Tricks
Polling
The built-in retry until
syntax should suffice for most needs, but if you have some specific needs, this demo example (using JavaScript) should get you up and running: polling.feature
.
Conditional Logic
The keywords Given
When
Then
are only for decoration and should not be thought of as similar to an if - then - else
statement. And as a testing framework, Karate discourages tests that give different results on every run.
That said, if you really need to implement 'conditional' checks, this can be one pattern:
* def filename = zone == 'zone1' ? 'test1.feature' : 'test2.feature'
* def result = call read(filename)
And this is another, using karate.call()
. Here we want to call
a file only if a condition is satisfied:
* def result = responseStatus == 404 ? {} : karate.call('delete-user.feature')
Or if we don't care about the result, we can eval
an if
statement:
* if (responseStatus == 200) karate.call('delete-user.feature')
And this may give you more ideas. You can always use a JavaScript function or call Java for more complex logic.
* def expected = zone == 'zone1' ? { foo: '#string' } : { bar: '#number' }
* match response == expected
JSON Lookup
You can always use a JavaScript switch case
within an eval
or function block. But one pattern that you should be aware of is that JSON is actually a great data-structure for looking up data.
* def data =
"""
{
foo: 'hello',
bar: 'world'
}
"""
# in real-life key can be dynamic
* def key = 'bar'
# and used to lookup data
* match (data[key]) == 'world'
You can find more details here. Also note how you can wrap the LHS of the match
in parentheses in the rare cases where the parser expects JsonPath by default.
Abort and Fail
In some rare cases you need to exit a Scenario
based on some condition. You can use karate.abort()
like so:
* if (responseStatus == 404) karate.abort()
Using karate.abort()
will not fail the test. Conditionally making a test fail is easy with karate.fail()
* if (condition) karate.fail('a custom message')
But normally a match
statement is preferred unless you want a really descriptive error message.
Also refer to polling for more ideas.
Commonly Needed Utilities
Since it is so easy to dive into Java-interop, Karate does not include any random-number functions, uuid generator or date / time utilities out of the box. You simply roll your own.
Here is an example of how to get the current date, and formatted the way you want:
* def getDate =
"""
function() {
var SimpleDateFormat = Java.type('java.text.SimpleDateFormat');
var sdf = new SimpleDateFormat('yyyy/MM/dd');
var date = new java.util.Date();
return sdf.format(date);
}
"""
* def temp = getDate()
* print temp
And the above will result in something like this being logged: [print] 2017/10/16
.
Here below are a few more common examples:
Utility | Recipe |
---|---|
System Time (as a string) | function(){ return java.lang.System.currentTimeMillis() + '' } |
UUID | function(){ return java.util.UUID.randomUUID() + '' } |
Random Number (0 to max-1 ) |
function(max){ return Math.floor(Math.random() * max) } |
Case Insensitive Comparison | function(a, b){ return a.equalsIgnoreCase(b) } |
Sleep or Wait for pause milliseconds |
function(pause){ java.lang.Thread.sleep(pause) } |
The first three are good enough for random string generation for most situations. Note that if you need to do a lot of case-insensitive string checks, karate.lowerCase()
is what you are looking for.
Multiple Functions in One File
If you find yourself needing a complex helper or utility function, we strongly recommend that you use Java because it is much easier to maintain and even debug if needed. And if you need multiple functions, you can easily organize them into a single Java class with multiple static methods.
That said, if you want to stick to JavaScript, but find yourself accumulating a lot of helper functions that you need to use in multiple feature files, the following pattern is recommended.
You can organize multiple "common" utilities into a single re-usable feature file as follows e.g. common.feature
@ignore
Feature:
Scenario:
* def hello = function(){ return 'hello' }
* def world = function(){ return 'world' }
And then you have two options. The first option using shared scope should be fine for most projects, but if you want to "name space" your functions, use "isolated scope":
Scenario: function re-use, global / shared scope
* call read('common.feature')
* assert hello() == 'hello'
* assert world() == 'world'
Scenario: function re-use, isolated / name-spaced scope
* def utils = call read('common.feature')
* assert utils.hello() == 'hello'
* assert utils.world() == 'world'
You can even move commonly used routines into karate-config.js
which means that they become "global". But we recommend that you do this only if you are sure that these routines are needed in almost all *.feature
files. Bloating your configuration can lead to loss of performance, and maintainability may suffer.
Async
The JS API has a karate.signal(result)
method that is useful for involving asynchronous flows into a test.
listen
You use the listen
keyword (with a timeout) to wait until that event occurs. The listenResult
magic variable will hold the value passed to the call to karate.signal()
.
This is best explained in this example that involves listening to an ActiveMQ / JMS queue.
Note how JS functions defined at run-time can be mixed with custom Java code to get things done. You need to use karate.toJava()
to "wrap" JS functions passed to custom Java code.
Background:
* def QueueConsumer = Java.type('mock.contract.QueueConsumer')
* def queue = new QueueConsumer(queueName)
* def handler = function(msg){ karate.signal(msg) }
* queue.listen(karate.toJava(handler))
* url paymentServiceUrl + '/payments'
Scenario: create, get, update, list and delete payments
Given request { amount: 5.67, description: 'test one' }
When method post
Then status 200
And match response == { id: '#number', amount: 5.67, description: 'test one' }
And def id = response.id
* listen 5000
* json shipment = listenResult
* print '### received:', shipment
* match shipment == { paymentId: '#(id)', status: 'shipped' }
WebSocket
Karate also has built-in support for websocket that is based on the async capability and the listen
keyword. The following method signatures are available on the karate
JS object to obtain a websocket client:
karate.webSocket(url)
karate.webSocket(url, handler)
karate.webSocket(url, handler, options)
- whereoptions
is an optional JSON (or map-like) object that takes the following optional keys:subProtocol
- in case the server expects itheaders
- another JSON of key-value pairsmaxPayloadSize
- this defaults to 4194304 (bytes, around 4 MB)
These will init a websocket client for the given url
and optional subProtocol
. You can call send()
on the returned object to send a message.
If a handler
function (returning a boolean) is provided - it will be used to complete the listen
"wait" if true
is returned. A handler function is needed only if you have to ignore some incoming traffic and stop the "wait" when a certain payload arrives. If you don't pass a handler
(or it is null
), the first message is returned.
Note that karate.signal()
(described as part of the listen
keyword) will be called internally and the listenResult
will be the payload contents of the "selected" message.
Here is an example, where the same websocket connection is used to send as well as receive a message.
* def handler = function(msg){ return msg.startsWith('hello') }
* def socket = karate.webSocket(demoBaseUrl + '/websocket', handler)
* socket.send('Billie')
* listen 5000
* match listenResult == 'hello Billie !'
For handling binary messages, the same karate.webSocket()
method signatures exist for karate.webSocketBinary()
. Refer to these examples for more: echo.feature
| websocket.feature
. Note that any websocket instances created will be auto-closed at the end of the Scenario
.
Java Function References
JavaScript functions have some limitations when combined with multi-threaded Java code. So it is recommended that you directly use a Java Function
when possible instead of using the karate.toJava()
"wrapper" as shown above.
One pattern you can adopt is to create a "factory" method that returns a Java function - where you can easily delegate to the logic you want. For example, see the sayHelloFactory()
method below:
public class Hello {
public static String sayHello(String message) {
return "hello " + message;
}
public static Function<String, String> sayHelloFactory() {
return s -> sayHello(s);
}
}
And now, to get a reference to that "function" you can do this:
* def sayHello = Java.type('com.myco.Hello').sayHelloFactory()
This can be convenient when using shared scope because you can just call sayHello('myname')
where needed.
Tags
Gherkin has a great way to sprinkle meta-data into test-scripts - which gives you some interesting options when running tests in bulk. The most common use-case would be to partition your tests into 'smoke', 'regression' and the like - which enables being able to selectively execute a sub-set of tests.
The documentation on how to run tests via the command line has an example of how to use tags to decide which tests to not run (or ignore). Also see first.feature
and second.feature
in the demos. If you find yourself juggling multiple tags with logical AND
and OR
complexity, refer to this Stack Overflow answer.
For advanced users, Karate supports being able to query for tags within a test, and even tags in a
@name=value
form. Refer tokarate.tags
andkarate.tagValues
.
Special Tags
For completeness, the "built-in" tags are the following:
Tag | Description |
---|---|
@ignore |
Any Scenario with (or that has inherited) this tag will be skipped at run-time. This does not apply to anything that is "called" though |
@parallel |
See @parallel=false |
@report |
See @report=false |
@setup |
See @setup |
@env |
See below |
@envnot |
See below |
Environment Tags
There are two special tags that allow you to "select" or "un-select" a Scenario
depending on the value of karate.env
. This can be really convenient, for example to never run some tests in a certain "production like" or sensitive environment.
@env=foo,bar
- will run only when the value ofkarate.env
is not-null and equal tofoo
orbar
@envnot=foo
- will run when the value ofkarate.env
isnull
or anything other thanfoo
Here is an example:
@env=dev
Scenario: runs only when karate.env is 'dev'
* print 'karate.env is:', karate.env
Since multiple values are supported, you can also do this:
@envnot=perf,prod
Scenario: never runs in perf or prod
* print 'karate.env is:', karate.env
Tags And Examples
A little-known capability of the Gherkin syntax is to be able to tag even specific rows in a bunch of examples ! You have to repeat the Examples
section for each tag. The example below combines this with the advanced features described above.
Scenario Outline: examples partitioned by tag
* def vals = karate.tagValues
* match vals.region[0] == expected
@region=US
Examples:
| expected |
| US |
@region=GB
Examples:
| expected |
| GB |
Note that if you tag Examples
like this, and if a tag selector is used when running a given Feature
- only the Examples
that match the tag selector will be executed. There is no concept of a "default" where for e.g. if there is no matching tag - that the Examples
without a tag will be executed. But note that you can use the negative form of a tag selector: ~@region=GB
.
Dynamic Port Numbers
In situations where you start an (embedded) application server as part of the test set-up phase, a typical challenge is that the HTTP port may be determined at run-time. So how can you get this value injected into the Karate configuration ?
It so happens that the karate
object has a field called properties
which can read a Java system-property by name like this: karate.properties['myName']
. Since the karate
object is injected within karate-config.js
on start-up, it is a simple and effective way for other processes within the same JVM to pass configuration values to Karate at run-time. Refer to the 'demo' karate-config.js
for an example and how the demo.server.port
system-property is set-up in the test runner: TestBase.java
.
Java API
Karate has a set of Java API-s that expose the HTTP, JSON, data-assertion and UI automation capabilities. The primary classes are described below.
Http
- build and execute any HTTP request and retrieve responsesJson
- build and manipulate JSON data using JsonPath expressions, convert to and from JavaMap
-s andList
-s, parse strings into JSON and convert Java objects into JSONMatch
- exposes all of Karate'smatch
capabilities, and this works for JavaMap
andList
objectsDriver
- perform web-browser automation
Do note that if you choose the Java API, you will naturally lose some of the test-automation framework benefits such as HTML reports, parallel execution and JavaScript / configuration. You may have to rely on unit-testing frameworks or integrate additional dependencies.
jbang
jbang is a great way for you to install and execute scripts that use Karate's Java API on any machine with minimal setup. Note that jbang itself is super-easy to install and there is even a "Zero Install" option.
Here below is an example jbang script that uses the Karate Java API to do some useful work. Name the file as javadsl.java
and run using the command: jbang javadsl.java
.
please replace
RELEASE
with the exact version of Karate you intend to use if applicable
///usr/bin/env jbang "$0" "$@" ; exit $?
//DEPS com.intuit.karate:karate-core:RELEASE:all
import com.intuit.karate.*;
import java.util.List;
public class javadsl {
public static void main(String[] args) {
List users = Http.to("https://jsonplaceholder.typicode.com/users")
.get().json().asList();
Match.that(users.get(0)).contains("{ name: 'Leanne Graham' }");
String city = Json.of(users).get("$[0].address.city");
Match.that("Gwenborough").isEqualTo(city);
System.out.println("\n*** second user: " + Json.of(users.get(1)).toString());
}
}
Read the documentation of the stand-alone JAR for more - such as how you can even install custom command-line applications using jbang !
Invoking feature files using the Java API
It is also possible to invoke a feature file via a Java API which can be useful in some test-automation situations.
A common use case is to mix API-calls into a larger test-suite, for example a Selenium or WebDriver UI test. So you can use Karate to set-up data via API calls, then run the UI test-automation, and finally again use Karate to assert that the system-state is as expected. Note that you can even include calls to a database from Karate using Java interop. And this example may make it clear why using Karate itself to drive even your UI-tests may be a good idea.
The static method com.intuit.karate.Runner.runFeature()
is best explained in this demo unit-test: JavaApiTest.java
.
You can optionally pass in variable values or over-ride config via a HashMap
or leave the second-last argument as null
. The variable state after feature execution would be returned as a Map<String, Object>
. The last boolean
argument is whether the karate-config.js
should be processed or not. Refer to the documentation on type-conversion to make sure you can 'unpack' data returned from Karate correctly, especially when dealing with XML.
Hooks
If you are looking for Cucumber 'hooks' Karate does not support them, mainly because they depend on Java code, which goes against the Karate Way™.
Instead, Karate gives you all you need as part of the syntax. Here is a summary:
To Run Some Code | How |
---|---|
Before everything (or 'globally' once) | See karate.callSingle() |
Before every Scenario |
Use the Background . Note that karate-config.js is processed before every Scenario - so you can choose to put "global" config here, for example using karate.configure() . |
Once (or at the start of) every Feature |
Use a callonce in the Background . The advantage is that you can set up variables (using def if needed) which can be used in all Scenario -s within that Feature . |
After every Scenario |
configure afterScenario (see example) |
At the end of the Feature |
configure afterFeature (see example) |
Note that for the
afterFeature
hook to work, you should be using theRunner
API and not the JUnit runner.
karate.callSingle()
Only recommended for advanced users, but this guarantees a routine is run only once, even when running tests in parallel. You can use karate.callSingle()
in karate-config.js
like this:
var result = karate.callSingle('classpath:some/package/my.feature');
It can take a second JSON argument following the same rules as call
. Once you get a result, you typically use it to set global variables.
Refer to this example:
You can use karate.callSingle()
directly in a *.feature
file, but it logically fits better in the global "bootstrap". Ideally it should return "pure JSON" and note that you always get a "deep clone" of the cached result object.
IMPORTANT: There are some restrictions when using callonce
or karate.callSingle()
especially within karate-config.js
. Ideally you should return only pure JSON data (or a primitive string, number etc.). Keep in mind that the reason this exists is to "cache" data, and not behavior. So if you return complex objects such as a custom Java instance or a JS function that depends on complex objects, this may cause issues when you run in parallel. If you really need to re-use a Java function, see Java Function References.
Multiple calls using karate.callSingle()
The first argument to karate.callSingle()
is used as the "cache key". So if you tried to re-use the same feature but with multiple arguments, things will not work as you expect. But you can suffix a ?name
to the feature to de-dupe it, like so:
var adminResponse = karate.callSingle('classpath:get-token.feature?admin', {'username': 'admin', 'password': 'password123' });
var userResponse = karate.callSingle('classpath:get-token.feature?user', {'username': 'user', 'password': 'password456' });
Now adminResponse
and userResponse
will be different, even though the same feature file is being used for a callSingle()
.
configure callSingleCache
When re-running tests in development mode and when your test suite depends on say an Authorization
header set by karate.callSingle()
, you can cache the results locally to a file, which is very convenient when your "auth token" is valid for a period of a few minutes - which typically is the case. This means that as long as the token "on file" is valid, you can save time by not having to make the one or two HTTP calls needed to "sign-in" or create "throw-away" users in your SSO store.
So in "dev mode" you can easily set this behavior like this. Just ensure that this is "configured" before you use karate.callSingle()
:
if (karate.env == 'local') {
karate.configure('callSingleCache', { minutes: 15 });
}
By default Karate will use target
(or build
) as the "cache" folder, which you can over-ride by adding a dir
key:
karate.configure('callSingleCache', { minutes: 15, dir: 'some/other/folder' });
This caching behavior will work only if the result of
karate.callSingle()
is a JSON-like object, and any JS functions or Java objects mixed in will be lost.
Data Driven Tests
The Cucumber Way
Cucumber has a concept of Scenario Outlines where you can re-use a set of data-driven steps and assertions, and the data can be declared in a very user-friendly fashion. Observe the usage of Scenario Outline:
instead of Scenario:
, and the new Examples:
section.
You should take a minute to compare this with the exact same example implemented in REST-assured and TestNG. Note that this example only does a "string equals" check on parts of the JSON, but with Karate you are always encouraged to match the entire payload in one step.
Feature: karate answers 2
Background:
* url 'http://localhost:8080'
Scenario Outline: given circuit name, validate country
Given path 'api/f1/circuits/<name>.json'
When method get
Then match $.MRData.CircuitTable.Circuits[0].Location.country == '<country>'
Examples:
| name | country |
| monza | Italy |
| spa | Belgium |
| sepang | Malaysia |
Scenario Outline: given race number, validate number of pitstops for Max Verstappen in 2015
Given path 'api/f1/2015/<race>/drivers/max_verstappen/pitstops.json'
When method get
Then assert response.MRData.RaceTable.Races[0].PitStops.length == <stops>
Examples:
| race | stops |
| 1 | 1 |
| 2 | 3 |
| 3 | 2 |
| 4 | 2 |
This is great for testing boundary conditions against a single end-point, with the added bonus that your test becomes even more readable. This approach can certainly enable product-owners or domain-experts who are not programmer-folk, to review, and even collaborate on test-scenarios and scripts.
Scenario Outline Enhancements
Karate has enhanced the Cucumber Scenario Outline
as follows:
- Type Hints: if the
Examples
column header has a!
appended, each value will be evaluated as a JavaScript data-type (number, boolean, or even in-line JSON) - else it defaults to string. - Magic Variables:
__row
gives you the entire row as a JSON object, and__num
gives you the row index (the first row is0
). - Auto Variables: in addition to
__row
, each column key-value will be available as a separate variable, which greatly simplifies JSON manipulation - especially when you want to re-use JSON files containing embedded expressions. - Any empty cells will result in a
null
value for that column-key, and this can be useful to remove nodes from JSON or XML documents
These are best explained with examples. You can choose between the string-placeholder style <foo>
or directly refer to the variable foo
(or even the whole row JSON as __row
) in JSON-friendly expressions.
Note that even the scenario name can accept placeholders - which is very useful in reports.
Scenario Outline: name is <name> and age is <age>
* def temp = '<name>'
* match temp == name
* match temp == __row.name
* def expected = __num == 0 ? 'name is Bob and age is 5' : 'name is Nyan and age is 6'
* match expected == karate.scenario.name
Examples:
| name | age |
| Bob | 5 |
| Nyan | 6 |
Scenario Outline: magic variables with type hints
* def expected = [{ name: 'Bob', age: 5 }, { name: 'Nyan', age: 6 }]
* match __row == expected[__num]
Examples:
| name | age! |
| Bob | 5 |
| Nyan | 6 |
Scenario Outline: embedded expressions and type hints
* match __row == { name: '#(name)', alive: '#boolean' }
Examples:
| name | alive! |
| Bob | false |
| Nyan | true |
Scenario Outline: inline json
* match __row == { first: 'hello', second: { a: 1 } }
* match first == 'hello'
* match second == { a: 1 }
Examples:
| first | second! |
| hello | { a: 1 } |
For another example, see: examples.feature
.
If you're looking for more complex ways of dynamically naming your scenarios you can use JS string interpolation by including placeholders in your scenario name.
Scenario Outline: name is ${name.first} ${name.last} and age is ${age}
* match name.first == "#? _ == 'Bob' || _ == 'Nyan'"
* match name.last == "#? _ == 'Dylan' || _ == 'Cat'"
* match title == karate.scenario.name
Examples:
| name! | age | title |
| { "first": "Bob", "last": "Dylan" } | 10 | name is Bob Dylan and age is 10 |
| { "first": "Nyan", "last": "Cat" } | 5 | name is Nyan Cat and age is 5 |
String interpolation will support variables in scope and / or the Examples
(including functions defined globally, but not functions defined in the background). Even Java interop and access to the karate
JS API would work.
For some more examples check test-outline-name-js.feature
.
The Karate Way
The limitation of the Cucumber Scenario Outline:
(seen above) is that the number of rows in the Examples:
is fixed. But take a look at how Karate can loop over a *.feature
file for each object in a JSON array - which gives you dynamic data-driven testing, if you need it. For advanced examples, refer to some of the scenarios within this demo: dynamic-params.feature
.
Also see the option below, where you can data-drive an Examples:
table using JSON.
Dynamic Scenario Outline
You can feed an Examples
table from a custom data-source, which is great for those situations where the table-content is dynamically resolved at run-time. This capability is triggered when the table consists of a single "cell", i.e. there is exactly one row and one column in the table.
JSON Array Data Source
The "scenario expression" result is expected to be an array of JSON objects. Here is an example:
Feature: scenario outline using a JSON array as the data-source
Scenario Outline: cat name: ${name}
Given url demoBaseUrl
And path 'cats'
And request { name: '#(name)' }
When method post
Then status 200
And match response == { id: '#number', name: '#(name)' }
# the single cell can be any valid karate expression
Examples:
| read('../callarray/kittens.json') |
You can see the structure of the data here: kittens.json
Any Karate expression can be used in the "cell expression", and you can even use Java-interop to use external data-sources such as a database.
Note that Karate has built-in support for CSV files and here is an example: dynamic-csv.feature
.
@setup
In cases where the data-source needs multiple steps, for e.g. if an API needs to be called to get a JSON array, you can call a separate Scenario
to "set up" this data. The @setup
tag is built-in for this purpose and any Scenario
tagged with this will behave like @ignore
. So the only way to call this Scenario
is by using the karate.setup()
JS API.
Here is the above example re-written to do so:
Feature: scenario outline using a JSON array as the data-source
@setup
Scenario:
* def kittens = read('../callarray/kittens.json')
Scenario Outline: cat name: ${name}
Given url demoBaseUrl
And path 'cats'
And request { name: '#(name)' }
When method post
Then status 200
And match response == { id: '#number', name: '#(name)' }
Examples:
| karate.setup().kittens |
The result of karate.setup()
will be a JSON of all the variables created within the Scenario
tagged with @setup
. Note how we "unpack" the kittens
and use it to "data drive" the Scenario Outline
. You can get really creative and use JS functions to filter data for different needs.
Note that @setup
is designed specifically to create data for a dynamic Scenario Outline
and it is the first thing to execute within a Feature
. In other words, it cannot depend on the Background
. The Background
will be used for each Scenario
that is spawned from a Scenario Outline
.
Though not really recommended, you can have multiple Scenario
-s within a Feature
tagged with @setup
. But in that case you should de-dupe them using a name:
Feature:
@setup=myname
Scenario:
* def data = [{ a: 1 }, { a: 2}]
Scenario Outline:
* print __row
Examples:
| karate.setup('myname').data |
And since it is common to run a @setup
Scenario
only once per-feature you can call karate.setupOnce()
. In the feature below, the * print 'in setup'
step will run only once. Also note how the Background
will run 4 times (twice per Scenario
).
Feature:
Background:
* print 'in background', __num
@setup
Scenario:
* print 'in setup'
* def data = [{a:1}, {a:2}]
Scenario Outline: first
* print __row
Examples:
| karate.setupOnce().data |
Scenario Outline: second
* print __row
Examples:
| karate.setupOnce().data |
JSON Function Data Source
An advanced option is where the "scenario expression" returns a JavaScript "generator" function. This is a very powerful way to generate test-data without having to load a large number of data rows into memory. The function has to return a JSON object. To signal the end of the data, just return null
. The function argument is the row-index, so you can easily determine when to stop the generation of data. Here is an example:
Feature: scenario outline using a dynamic generator function
@setup
Scenario:
* def generator = function(i){ if (i == 20) return null; return { name: 'cat' + i, age: i } }
Scenario Outline: cat name: ${name}
Given url demoBaseUrl
And path 'cats'
And request { name: '#(name)', age: '#(age)' }
When method post
Then status 200
And match response == { id: '#number', name: '#(name)' }
Examples:
| karate.setup().generator |
More Resourcesto explore the angular.
mail [email protected] to add your project or resources here 🔥.
- 1Quasar
http://docs.paralleluniverse.co/quasar/
Quasar is a JVM library that provides true lightweight threads, CSP channels and actors.
- 2A big, fast and persistent queue based on memory mapped file.
https://github.com/bulldog2011/bigqueue
A big, fast and persistent queue based on memory mapped file. - bulldog2011/bigqueue
- 3Gradle Build Tool
https://gradle.org
Accelerate developer productivity. Gradle helps teams build, automate and deliver better software, faster.
- 4Union, intersection, and set cardinality in loglog space
https://github.com/LiveRamp/HyperMinHash-java
Union, intersection, and set cardinality in loglog space - LiveRamp/HyperMinHash-java
- 5JayWire Dependency Injection
https://github.com/vanillasource/jaywire
JayWire Dependency Injection. Contribute to vanillasource/jaywire development by creating an account on GitHub.
- 6cglib - Byte Code Generation Library is high level API to generate and transform Java byte code. It is used by AOP, testing, data access frameworks to generate dynamic proxy objects and intercept field access.
https://github.com/cglib/cglib
cglib - Byte Code Generation Library is high level API to generate and transform Java byte code. It is used by AOP, testing, data access frameworks to generate dynamic proxy objects and intercept f...
- 7Java bytecode engineering toolkit
https://github.com/jboss-javassist/javassist
Java bytecode engineering toolkit. Contribute to jboss-javassist/javassist development by creating an account on GitHub.
- 8*old repository* --> this is now integrated in https://github.com/javaparser/javaparser
https://github.com/javaparser/javasymbolsolver
*old repository* --> this is now integrated in https://github.com/javaparser/javaparser - javaparser/javasymbolsolver
- 9Replicate your Key Value Store across your network, with consistency, persistance and performance.
https://github.com/OpenHFT/Chronicle-Map
Replicate your Key Value Store across your network, with consistency, persistance and performance. - OpenHFT/Chronicle-Map
- 10adt4j - Algebraic Data Types for Java
https://github.com/sviperll/adt4j
adt4j - Algebraic Data Types for Java. Contribute to sviperll/adt4j development by creating an account on GitHub.
- 11Advanced date, time and interval library for Java with sun/moon-astronomy and calendars like Chinese, Coptic, Ethiopian, French Republican, Hebrew, Hijri, Historic Christian, Indian National, Japanese, Julian, Korean, Minguo, Persian, Thai, Vietnamese
https://github.com/MenoData/Time4J
Advanced date, time and interval library for Java with sun/moon-astronomy and calendars like Chinese, Coptic, Ethiopian, French Republican, Hebrew, Hijri, Historic Christian, Indian National, Japan...
- 12Use the MongoDB query language to query your relational database, typically from frontend.
https://github.com/mhewedy/spring-data-jpa-mongodb-expressions
Use the MongoDB query language to query your relational database, typically from frontend. - mhewedy/spring-data-jpa-mongodb-expressions
- 13Checkstyle is a development tool to help programmers write Java code that adheres to a coding standard. By default it supports the Google Java Style Guide and Sun Code Conventions, but is highly configurable. It can be invoked with an ANT task and a command line program.
https://github.com/checkstyle/checkstyle
Checkstyle is a development tool to help programmers write Java code that adheres to a coding standard. By default it supports the Google Java Style Guide and Sun Code Conventions, but is highly co...
- 14requery - modern SQL based query & persistence for Java / Kotlin / Android
https://github.com/requery/requery
requery - modern SQL based query & persistence for Java / Kotlin / Android - requery/requery
- 15Binary Artifact Management Tool
https://github.com/artipie/artipie
Binary Artifact Management Tool. Contribute to artipie/artipie development by creating an account on GitHub.
- 16JLine is a Java library for handling console input.
https://github.com/jline/jline3
JLine is a Java library for handling console input. - jline/jline3
- 17JPF is an extensible software analysis framework for Java bytecode. jpf-core is the basis for all JPF projects; you always need to install it. It contains the basic VM and model checking infrastructure, and can be used to check for concurrency defects like deadlocks, and unhandled exceptions like NullPointerExceptions and AssertionErrors.
https://github.com/javapathfinder/jpf-core
JPF is an extensible software analysis framework for Java bytecode. jpf-core is the basis for all JPF projects; you always need to install it. It contains the basic VM and model checking infrastruc...
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https://github.com/manifold-systems/manifold
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https://github.com/google/auto
A collection of source code generators for Java. Contribute to google/auto development by creating an account on GitHub.
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https://github.com/Randgalt/record-builder
Record builder generator for Java records. Contribute to Randgalt/record-builder development by creating an account on GitHub.
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https://github.com/realm/realm-java
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https://github.com/resilience4j/resilience4j
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https://github.com/Netflix/governator
Governator is a library of extensions and utilities that enhance Google Guice to provide: classpath scanning and automatic binding, lifecycle management, configuration to field mapping, field valid...
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https://github.com/mapstruct/mapstruct
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https://github.com/protocolbuffers/protobuf
Protocol Buffers - Google's data interchange format - protocolbuffers/protobuf
- 26Java library for the Stripe API.
https://github.com/stripe/stripe-java
Java library for the Stripe API. . Contribute to stripe/stripe-java development by creating an account on GitHub.
- 27SneakyThrow is a Java library to ignore checked exceptions
https://github.com/rainerhahnekamp/sneakythrow
SneakyThrow is a Java library to ignore checked exceptions - rainerhahnekamp/sneakythrow
- 28paritytrading/parity
https://github.com/paritytrading/parity
Contribute to paritytrading/parity development by creating an account on GitHub.
- 29Jollyday - A holiday API
https://github.com/svendiedrichsen/jollyday
Jollyday - A holiday API. Contribute to svendiedrichsen/jollyday development by creating an account on GitHub.
- 30Java binding for etcd
https://github.com/justinsb/jetcd
Java binding for etcd. Contribute to justinsb/jetcd development by creating an account on GitHub.
- 31A Java library for technical analysis.
https://github.com/ta4j/ta4j
A Java library for technical analysis. Contribute to ta4j/ta4j development by creating an account on GitHub.
- 32CSV library for Java that is fast, RFC-compliant and dependency-free.
https://github.com/osiegmar/FastCSV
CSV library for Java that is fast, RFC-compliant and dependency-free. - osiegmar/FastCSV
- 33Simpler, better and faster Java bean mapping framework
https://github.com/orika-mapper/orika
Simpler, better and faster Java bean mapping framework - orika-mapper/orika
- 34LINQ-style queries for Java 8
https://github.com/my2iu/Jinq
LINQ-style queries for Java 8. Contribute to my2iu/Jinq development by creating an account on GitHub.
- 35Guice (pronounced 'juice') is a lightweight dependency injection framework for Java 11 and above, brought to you by Google.
https://github.com/google/guice
Guice (pronounced 'juice') is a lightweight dependency injection framework for Java 11 and above, brought to you by Google. - google/guice
- 36Build JPA Criteria queries using a Stream-like API
https://github.com/querystream/querystream
Build JPA Criteria queries using a Stream-like API - querystream/querystream
- 37Elegance, high performance and robustness all in one java bean mapper
https://github.com/jmapper-framework/jmapper-core
Elegance, high performance and robustness all in one java bean mapper - jmapper-framework/jmapper-core
- 38Reflectionless command line parser
https://github.com/jbock-java/jbock
Reflectionless command line parser. Contribute to jbock-java/jbock development by creating an account on GitHub.
- 39Simple, efficient Excel to POJO library for Java
https://github.com/creditdatamw/zerocell
Simple, efficient Excel to POJO library for Java . Contribute to creditdatamw/zerocell development by creating an account on GitHub.
- 40Catch common Java mistakes as compile-time errors
https://github.com/google/error-prone
Catch common Java mistakes as compile-time errors. Contribute to google/error-prone development by creating an account on GitHub.
- 41JHipster is a development platform to quickly generate, develop, & deploy modern web applications & microservice architectures.
https://github.com/jhipster/generator-jhipster
JHipster is a development platform to quickly generate, develop, & deploy modern web applications & microservice architectures. - jhipster/generator-jhipster
- 42A library for creating interactive console applications in Java
https://github.com/beryx/text-io
A library for creating interactive console applications in Java - beryx/text-io
- 43A high performance caching library for Java
https://github.com/ben-manes/caffeine
A high performance caching library for Java. Contribute to ben-manes/caffeine development by creating an account on GitHub.
- 44KickAss Configuration. An annotation-based configuration system for Java and Kotlin
https://github.com/mariomac/kaconf
KickAss Configuration. An annotation-based configuration system for Java and Kotlin - mariomac/kaconf
- 45A lightning fast, transactional, file-based FIFO for Android and Java.
https://github.com/square/tape
A lightning fast, transactional, file-based FIFO for Android and Java. - square/tape
- 46Redisson - Easy Redis Java client and Real-Time Data Platform. Valkey compatible. Sync/Async/RxJava/Reactive API. Over 50 Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Bloom filter, Spring Cache, Tomcat, Scheduler, JCache API, Hibernate, RPC, local cache ...
https://github.com/redisson/redisson
Redisson - Easy Redis Java client and Real-Time Data Platform. Valkey compatible. Sync/Async/RxJava/Reactive API. Over 50 Redis based Java objects and services: Set, Multimap, SortedSet, Map, List,...
- 47configuration library for JVM languages using HOCON files
https://github.com/lightbend/config
configuration library for JVM languages using HOCON files - lightbend/config
- 48Mixin is a trait/mixin and bytecode weaving framework for Java using ASM
https://github.com/SpongePowered/Mixin
Mixin is a trait/mixin and bytecode weaving framework for Java using ASM - SpongePowered/Mixin
- 49Lightweight dependency injection for Java and Android (JSR-330)
https://github.com/zsoltherpai/feather
Lightweight dependency injection for Java and Android (JSR-330) - zsoltherpai/feather
- 50Build software better, together
https://github.com/xzripper/Void2D
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
- 51Elasticsearch Java Rest Client.
https://github.com/searchbox-io/Jest
Elasticsearch Java Rest Client. Contribute to searchbox-io/Jest development by creating an account on GitHub.
- 52:package: Gradle/Maven plugin to package Java applications as native Windows, MacOS, or Linux executables and create installers for them.
https://github.com/fvarrui/JavaPackager
:package: Gradle/Maven plugin to package Java applications as native Windows, MacOS, or Linux executables and create installers for them. - fvarrui/JavaPackager
- 53QuestDB is an open source time-series database for fast ingest and SQL queries
https://github.com/questdb/questdb
QuestDB is an open source time-series database for fast ingest and SQL queries - questdb/questdb
- 54Autumn Lamonte / jexer · GitLab
https://gitlab.com/AutumnMeowMeow/jexer
Java Text User Interface
- 55Extension module to properly support datatypes of javax.money
https://github.com/zalando/jackson-datatype-money
Extension module to properly support datatypes of javax.money - zalando/jackson-datatype-money
- 56The fast, Open Source and easy-to-use solver
https://www.optaplanner.org
Solve any constraint optimization problem easily, including the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling and many others.
- 57Parquet
https://parquet.apache.org
The Apache Parquet Website
- 58Debezium
https://debezium.io/
Debezium is an open source distributed platform for change data capture. Start it up, point it at your databases, and your apps can start responding to all of the inserts, updates, and deletes that other apps commit to your databases. Debezium is durable and fast, so your apps can respond quickly and never miss an event, even when things go wrong.
- 59Distributed SQL query engine for big data
https://trino.io
Trino is a high performance, distributed SQL query engine for big data.
- 60The easiest way to write SQL in Java
https://www.jooq.org
jOOQ, a fluent API for typesafe SQL query construction and execution.
- 61The Community for Open Collaboration and Innovation | The Eclipse Foundation
https://www.eclipse.org
The Eclipse Foundation provides our global community of individuals and organisations with a mature, scalable, and business-friendly environment for open source …
- 62The Standard Widget Toolkit | The Eclipse Foundation
https://www.eclipse.org/swt/
The Eclipse Foundation - home to a global community, the Eclipse IDE, Jakarta EE and over 415 open source projects, including runtimes, tools and frameworks.
- 63Massoni - JmlOk2
https://massoni.computacao.ufcg.edu.br/home/jmlok
A tool for detect and categorize nonconformances in Contract-Based Programs What is JmlOk2? JmlOk2 is a tool that detects nonconformances between Java code and JML specification through the feedback-directed random tests generation. Also, JmlOk2 is a tool that suggests likely causes for
- 64LITIENGINE 🎮 Free and Open Source Java 2D Game Engine
https://litiengine.com/
LITIENGINE is the pure 2D Java Game Engine and it's entirely free. 2D Sound ✓ 2D Physics ✓ 2D Render Engine ✓ Start Now and build your video game ►
- 65IntelliJ IDEA – the Leading Java and Kotlin IDE
https://www.jetbrains.com/idea/
IntelliJ IDEA is undoubtedly the top-choice IDE for software developers. It makes Java and Kotlin development a more productive and enjoyable experience.
- 66Java in Visual Studio Code
https://code.visualstudio.com/docs/languages/java
Learn about Visual Studio Code editor features (code completion, debugging, snippets, linting) for Java.
- 67Scene Builder - Gluon
https://gluonhq.com/products/scene-builder/
Drag & Drop,Rapid Application Development. Download Now Integrated Scene Builder works with the JavaFX ecosystem – official controls, community projects, and Gluon offerings including Gluon Mobile, Gluon Desktop, and Gluon CloudLink. Simple Drag & Drop user interface design allows for rapid iteration. Separation of design and logic files allows for team members to quickly and […]
- 68jQAssistant
https://jqassistant.org
jQAssistant has 5 repositories available. Follow their code on GitHub.
- 69A project to cause (controlled) destruction on your jvm application
https://github.com/nicolasmanic/perses
A project to cause (controlled) destruction on your jvm application - GitHub - nick-kanakis/perses: A project to cause (controlled) destruction on your jvm application
- 70Redis Java client
https://github.com/xetorthio/jedis
Redis Java client. Contribute to redis/jedis development by creating an account on GitHub.
- 71Selma Java bean mapping that compiles
https://github.com/xebia-france/selma
Selma Java bean mapping that compiles. Contribute to publicissapient-france/selma development by creating an account on GitHub.
- 72Fault tolerance and resilience patterns for the JVM
https://github.com/jhalterman/failsafe
Fault tolerance and resilience patterns for the JVM - failsafe-lib/failsafe
- 73JTA Transaction Manager
https://github.com/bitronix/btm
JTA Transaction Manager. Contribute to scalar-labs/btm development by creating an account on GitHub.
- 74Get rid of the boilerplate code in properties based configuration.
https://github.com/lviggiano/owner
Get rid of the boilerplate code in properties based configuration. - matteobaccan/owner
- 75dOOv (Domain Object Oriented Validation) a fluent API for type-safe bean validation and mapping
https://github.com/doov-io/doov
dOOv (Domain Object Oriented Validation) a fluent API for type-safe bean validation and mapping - doov-org/doov
- 76Identifies and prioritizes God Classes and Highly Coupled classes in Java codebases you should refactor first.
https://github.com/jimbethancourt/RefactorFirst
Identifies and prioritizes God Classes and Highly Coupled classes in Java codebases you should refactor first. - refactorfirst/RefactorFirst
- 77A streaming JsonPath processor in Java
https://github.com/jsurfer/JsonSurfer
A streaming JsonPath processor in Java. Contribute to wanglingsong/JsonSurfer development by creating an account on GitHub.
- 78:fire: Seata is an easy-to-use, high-performance, open source distributed transaction solution.
https://github.com/seata/seata
:fire: Seata is an easy-to-use, high-performance, open source distributed transaction solution. - apache/incubator-seata
- 79ImageJ
https://imagej.net/ImageJ
The ImageJ wiki is a community-edited knowledge base on topics relating to ImageJ, a public domain program for processing and analyzing scientific images, and its ecosystem of derivatives and variants, including ImageJ2, Fiji, and others.
- 80Internet Calendaring and Scheduling Core Object Specification (iCalendar)
https://tools.ietf.org/html/rfc5545
This document defines the iCalendar data format for representing and exchanging calendaring and scheduling information such as events, to-dos, journal entries, and free/busy information, independent of any particular calendar service or protocol. [STANDARDS-TRACK]
- 81Welcome to the Narayana community!
https://narayana.io
With over 30 years of expertise in the area of transaction processing, Narayana is the premier open source transaction manager. It has been used extensively within industry and to drive standards including the OMG and Web Services.
- 82The AspectJ Project | The Eclipse Foundation
https://www.eclipse.org/aspectj/
The Eclipse Foundation - home to a global community, the Eclipse IDE, Jakarta EE and over 415 open source projects, including runtimes, tools and frameworks.
- 83Home
https://www.atomikos.com
Distributed transactions without application server, outside of the container - for Java and REST...
- 84Machine Learning in Java
https://tribuo.org/
Tribuo is a Java ML library for multi-class classification, regression, clustering, anomaly detection and multi-label classification.
- 85Elastic — The Search AI Company
https://www.elastic.co
Power insights and outcomes with The Elastic Search AI Platform. See into your data and find answers that matter with enterprise solutions designed to help you accelerate time to insight. Try Elastic ...
- 86Explore, Visualize, Discover Data | Elastic
https://www.elastic.co/kibana
Download Kibana or the complete Elastic Stack for free and start visualizing, analyzing, and exploring your data with Elastic in minutes....
- 87CodenameOne/vm at master · codenameone/CodenameOne
https://github.com/codenameone/CodenameOne/tree/master/vm
Cross-platform framework for building truly native mobile apps with Java or Kotlin. Write Once Run Anywhere support for iOS, Android, Desktop & Web. - codenameone/CodenameOne
- 88Stream Processing and Complex Event Processing Engine
https://github.com/siddhi-io/siddhi
Stream Processing and Complex Event Processing Engine - siddhi-io/siddhi
- 89Apache Kafka
https://kafka.apache.org
Apache Kafka: A Distributed Streaming Platform.
- 90Quarkus - Supersonic Subatomic Java
https://quarkus.io
Quarkus: Supersonic Subatomic Java
- 91P6Spy is a framework that enables database data to be seamlessly intercepted and logged with no code changes to the application.
https://github.com/p6spy/p6spy
P6Spy is a framework that enables database data to be seamlessly intercepted and logged with no code changes to the application. - p6spy/p6spy
- 92Java Statistical Analysis Tool, a Java library for Machine Learning
https://github.com/EdwardRaff/JSAT
Java Statistical Analysis Tool, a Java library for Machine Learning - GitHub - EdwardRaff/JSAT: Java Statistical Analysis Tool, a Java library for Machine Learning
- 93Collect, Parse, Transform Logs | Elastic
https://www.elastic.co/logstash
Logstash (part of the Elastic Stack) integrates data from any source, in any format with this flexible, open source collection, parsing, and enrichment pipeline. Download for free....
- 94Developer-first error tracking and performance monitoring
https://github.com/getsentry/sentry
Developer-first error tracking and performance monitoring - getsentry/sentry
- 95OACC - Java Application Security Framework
http://oaccframework.org
OACC is a fully featured open-source Java API to both enforce and manage your application's authentication and authorization needs.
- 96RabbitMQ Java client
https://github.com/rabbitmq/rabbitmq-java-client
RabbitMQ Java client. Contribute to rabbitmq/rabbitmq-java-client development by creating an account on GitHub.
- 97Multi-OS Engine
https://multi-os-engine.org
Create iOS Apps in Java Port your existing Android App, or build a native Cross-Platform App from scratch.
- 98hippo4j/README-EN.md at develop · opengoofy/hippo4j
https://github.com/opengoofy/hippo4j/blob/develop/README-EN.md
📌 异步线程池框架,支持线程池动态变更&监控&报警,无需修改代码轻松引入。Asynchronous thread pool framework, support Thread Pool Dynamic Change & monitoring & Alarm, no need to modify the code easily introduced. - ope...
- 99MyBatis SQL mapper framework for Java
https://github.com/mybatis/mybatis-3
MyBatis SQL mapper framework for Java. Contribute to mybatis/mybatis-3 development by creating an account on GitHub.
- 100Detect uses of legacy Java APIs
https://github.com/gaul/modernizer-maven-plugin
Detect uses of legacy Java APIs. Contribute to gaul/modernizer-maven-plugin development by creating an account on GitHub.
- 101svix-webhooks/java at main · svix/svix-webhooks
https://github.com/svix/svix-webhooks/tree/main/java
The enterprise-ready webhooks service 🦀. Contribute to svix/svix-webhooks development by creating an account on GitHub.
- 102Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
https://github.com/BayesWitnesses/m2cgen
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies - BayesWitnesses/m2cgen
- 103Microsoft Build of OpenJDK
https://github.com/microsoft/openjdk
Microsoft Build of OpenJDK. Contribute to microsoft/openjdk development by creating an account on GitHub.
- 104Event bus for Android and Java that simplifies communication between Activities, Fragments, Threads, Services, etc. Less code, better quality.
https://github.com/greenrobot/EventBus
Event bus for Android and Java that simplifies communication between Activities, Fragments, Threads, Services, etc. Less code, better quality. - greenrobot/EventBus
- 105The open-source Java obfuscation tool working with Ant and Gradle by yWorks - the diagramming experts
https://github.com/yWorks/yGuard
The open-source Java obfuscation tool working with Ant and Gradle by yWorks - the diagramming experts - yWorks/yGuard
- 106Log analyser / visualiser for Java HotSpot JIT compiler. Inspect inlining decisions, hot methods, bytecode, and assembly. View results in the JavaFX user interface.
https://github.com/AdoptOpenJDK/jitwatch
Log analyser / visualiser for Java HotSpot JIT compiler. Inspect inlining decisions, hot methods, bytecode, and assembly. View results in the JavaFX user interface. - AdoptOpenJDK/jitwatch
- 107Red Hat build of OpenJDK | Red Hat Developer
https://developers.redhat.com/products/openjdk/overview
The Red Hat build of OpenJDK is an open source implementation of the Java Platform, Standard Edition (Java SE).
- 108An in-memory file system for Java 7+
https://github.com/google/jimfs
An in-memory file system for Java 7+. Contribute to google/jimfs development by creating an account on GitHub.
- 109Java client for Consul HTTP API
https://github.com/Ecwid/consul-api
Java client for Consul HTTP API. Contribute to Ecwid/consul-api development by creating an account on GitHub.
- 110jOOX - The Power of jQuery Applied to W3C DOM Like JDBC, DOM is a powerful, yet very verbose low-level API to manipulate XML. The HTML DOM an be manipulated with the popular jQuery product, in JavaScript. Why don't we have jQuery in Java? jOOX is jQuery's XML parts, applied to Java.
https://github.com/jooq/joox
jOOX - The Power of jQuery Applied to W3C DOM Like JDBC, DOM is a powerful, yet very verbose low-level API to manipulate XML. The HTML DOM an be manipulated with the popular jQuery product, in Java...
- 111FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes.
https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpriseEdition
FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes. - EnterpriseQualityCoding/FizzBuzzEnterpriseEdition
- 112An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
https://github.com/micrometer-metrics/micrometer
An application observability facade for the most popular observability tools. Think SLF4J, but for observability. - micrometer-metrics/micrometer
- 113Extract tables from PDF files
https://github.com/tabulapdf/tabula-java
Extract tables from PDF files. Contribute to tabulapdf/tabula-java development by creating an account on GitHub.
- 114OpenPDF is a free Java library for creating and editing PDF files, with a LGPL and MPL open source license. OpenPDF is based on a fork of iText. We welcome contributions from other developers. Please feel free to submit pull-requests and bugreports to this GitHub repository.
https://github.com/LibrePDF/OpenPDF
OpenPDF is a free Java library for creating and editing PDF files, with a LGPL and MPL open source license. OpenPDF is based on a fork of iText. We welcome contributions from other developers. Plea...
- 115JavaMelody : monitoring of JavaEE applications
https://github.com/javamelody/javamelody
JavaMelody : monitoring of JavaEE applications. Contribute to javamelody/javamelody development by creating an account on GitHub.
- 116Java Abstracted Foreign Function Layer
https://github.com/jnr/jnr-ffi
Java Abstracted Foreign Function Layer. Contribute to jnr/jnr-ffi development by creating an account on GitHub.
- 117A lightweight, simple FTP server. Pure Java, no dependencies.
https://github.com/Guichaguri/MinimalFTP
A lightweight, simple FTP server. Pure Java, no dependencies. - Guichaguri/MinimalFTP
- 118TCP/UDP client/server library for Java, based on Kryo
https://github.com/EsotericSoftware/kryonet
TCP/UDP client/server library for Java, based on Kryo - EsotericSoftware/kryonet
- 119XML/XHTML and CSS 2.1 renderer in pure Java
https://github.com/flyingsaucerproject/flyingsaucer
XML/XHTML and CSS 2.1 renderer in pure Java. Contribute to flyingsaucerproject/flyingsaucer development by creating an account on GitHub.
- 120Efficient reliable UDP unicast, UDP multicast, and IPC message transport
https://github.com/real-logic/Aeron
Efficient reliable UDP unicast, UDP multicast, and IPC message transport - real-logic/aeron
- 121Prometheus instrumentation library for JVM applications
https://github.com/prometheus/client_java
Prometheus instrumentation library for JVM applications - prometheus/client_java
- 122JObfuscator — Java Source Code Obfuscation & Protection
https://www.pelock.com/products/jobfuscator
JObfuscator is a source code obfuscator for the Java language. Protect Java source code & algorithms from hacking, cracking, reverse engineering, decompilation & technology theft.
- 123:chart_with_upwards_trend: Capturing JVM- and application-level metrics. So you know what's going on.
https://github.com/dropwizard/metrics
:chart_with_upwards_trend: Capturing JVM- and application-level metrics. So you know what's going on. - dropwizard/metrics
- 124Statistical Machine Intelligence & Learning Engine
https://github.com/haifengl/smile
Statistical Machine Intelligence & Learning Engine - haifengl/smile
- 125PipelinR is a lightweight command processing pipeline ❍ ⇢ ❍ ⇢ ❍ for your Java awesome app.
https://github.com/sizovs/pipelinr
PipelinR is a lightweight command processing pipeline ❍ ⇢ ❍ ⇢ ❍ for your Java awesome app. - GitHub - sizovs/PipelinR: PipelinR is a lightweight command processing pipeline ❍ ⇢ ❍ ⇢ ❍ for your Java...
- 126Home - Micronaut Framework
https://micronaut.io
The Micronaut® framework is a modern, open source, JVM-based, full-stack toolkit for building modular, easily testable microservices and serverless applications.
- 127Java reporting library for creating dynamic report designs at runtime
https://github.com/dynamicreports/dynamicreports
Java reporting library for creating dynamic report designs at runtime - dynamicreports/dynamicreports
- 128Java Structured Logging API for Logback, Log4J2, and JUL
https://github.com/tersesystems/echopraxia
Java Structured Logging API for Logback, Log4J2, and JUL - tersesystems/echopraxia
- 129Support alternative markup for Apache Maven POM files
https://github.com/takari/polyglot-maven
Support alternative markup for Apache Maven POM files - takari/polyglot-maven
- 130Pure Java ZeroMQ
https://github.com/zeromq/jeromq
Pure Java ZeroMQ . Contribute to zeromq/jeromq development by creating an account on GitHub.
- 131OctoLinker — Links together, what belongs together
https://github.com/OctoLinker/OctoLinker
OctoLinker — Links together, what belongs together - OctoLinker/OctoLinker
- 132DataMelt
https://datamelt.org/
Java program for data analysis, statistics and visualization
- 133AWS Service registry for resilient mid-tier load balancing and failover.
https://github.com/Netflix/eureka
AWS Service registry for resilient mid-tier load balancing and failover. - Netflix/eureka
- 134A fast, light and cloud native OAuth 2.0 authorization microservices based on light-4j
https://github.com/networknt/light-oauth2/.
A fast, light and cloud native OAuth 2.0 authorization microservices based on light-4j - networknt/light-oauth2
- 135ISBN core
https://github.com/ladutsko/isbn-core
ISBN core. Contribute to ladutsko/isbn-core development by creating an account on GitHub.
- 136Provides tracing abstractions over tracers and tracing system reporters.
https://github.com/micrometer-metrics/tracing
Provides tracing abstractions over tracers and tracing system reporters. - micrometer-metrics/tracing
- 137Java library for representing, parsing and encoding URNs as in RFC2141 and RFC8141 (Maintained by @claussni)
https://github.com/slub/urnlib
Java library for representing, parsing and encoding URNs as in RFC2141 and RFC8141 (Maintained by @claussni) - slub/urnlib
- 138The Java gRPC implementation. HTTP/2 based RPC
https://github.com/grpc/grpc-java
The Java gRPC implementation. HTTP/2 based RPC. Contribute to grpc/grpc-java development by creating an account on GitHub.
- 139The java implementation of Apache Dubbo. An RPC and microservice framework.
https://github.com/apache/dubbo
The java implementation of Apache Dubbo. An RPC and microservice framework. - apache/dubbo
- 140commons networking utils
https://github.com/CiscoSE/commons-networking
commons networking utils. Contribute to CiscoSE/commons-networking development by creating an account on GitHub.
- 141IP2Location.io Java SDK allows user to query for an enriched data set based on IP address and provides WHOIS lookup api that helps users to obtain domain information.
https://github.com/ip2location/ip2location-io-java
IP2Location.io Java SDK allows user to query for an enriched data set based on IP address and provides WHOIS lookup api that helps users to obtain domain information. - ip2location/ip2location-io-java
- 142OpenAI Api Client in Java
https://github.com/TheoKanning/openai-java
OpenAI Api Client in Java. Contribute to TheoKanning/openai-java development by creating an account on GitHub.
- 143Best-of-breed OpenTracing utilities, instrumentations and extensions
https://github.com/zalando/opentracing-toolbox
Best-of-breed OpenTracing utilities, instrumentations and extensions - zalando/opentracing-toolbox
- 144OpenTelemetry Java SDK
https://github.com/open-telemetry/opentelemetry-java
OpenTelemetry Java SDK. Contribute to open-telemetry/opentelemetry-java development by creating an account on GitHub.
- 145Elide
https://elide.io
Model Driven Json API and GraphQL Web Services for Java
- 146The official AWS SDK for Java - Version 2
https://github.com/aws/aws-sdk-java-v2
The official AWS SDK for Java - Version 2. Contribute to aws/aws-sdk-java-v2 development by creating an account on GitHub.
- 147🛑 This library is DEPRECATED!
https://github.com/jaegertracing/jaeger-client-java
🛑 This library is DEPRECATED! Contribute to jaegertracing/jaeger-client-java development by creating an account on GitHub.
- 148an open source solution to application performance monitoring for java server applications
https://github.com/stagemonitor/stagemonitor
an open source solution to application performance monitoring for java server applications - stagemonitor/stagemonitor
- 149A Sentry SDK for Java, Android and other JVM languages.
https://github.com/getsentry/sentry-java
A Sentry SDK for Java, Android and other JVM languages. - getsentry/sentry-java
- 150A powerful flow control component enabling reliability, resilience and monitoring for microservices. (面向云原生微服务的高可用流控防护组件)
https://github.com/alibaba/Sentinel
A powerful flow control component enabling reliability, resilience and monitoring for microservices. (面向云原生微服务的高可用流控防护组件) - alibaba/Sentinel
- 151Your relational data. Objectively. - Hibernate ORM
http://hibernate.org/orm/
Idiomatic persistence for Java and relational databases.
- 152A networking framework that evolves with your application
https://github.com/apple/servicetalk
A networking framework that evolves with your application - apple/servicetalk
- 153Ultra-fast SQL-like queries on Java collections
https://github.com/npgall/cqengine
Ultra-fast SQL-like queries on Java collections. Contribute to npgall/cqengine development by creating an account on GitHub.
- 154Home | MobileUI
https://mobileui.dev
MobileUI Framework for cross-platform app development with Kotlin and Java.
- 155Cryptomator - Free Cloud Encryption for Dropbox & Co
https://cryptomator.org
Encrypt Dropbox, Google Drive, and any other cloud. Cryptomator is free and open source.
- 156GraphStream - A Dynamic Graph Library
http://graphstream-project.org
GraphStream, java library, API, Graph Visualisation, Graph Layout
- 157Cloud Application Platform | Heroku
https://www.heroku.com
Heroku is a platform as a service (PaaS) that enables developers to build, run, and operate applications entirely in the cloud.
- 158ActiveJ RPC | Lightning-fast binary protocol for high-load architecture | ActiveJ 6.0
https://rpc.activej.io
ActiveJ RPC is a lightning-fast binary protocol for high-load microservices architecture
- 159Build software better, together
https://github.com/DaveJarvis/KeenType
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
- 160Topaz | Topaz
https://www.topaz.sh
An open-source, self-hosted, fine-grained access control service for Cloud Native applications
- 161GraalVM compiles Java applications into native executables that start instantly, scale fast, and use fewer compute resources 🚀
https://github.com/oracle/graal
GraalVM compiles Java applications into native executables that start instantly, scale fast, and use fewer compute resources 🚀 - oracle/graal
- 162Password strength estimator
https://github.com/GoSimpleLLC/nbvcxz
Password strength estimator. Contribute to GoSimpleLLC/nbvcxz development by creating an account on GitHub.
- 163Red Hat OpenShift enterprise application platform
https://www.openshift.com
Red Hat® OpenShift® is a comprehensive application platform to build, modernize, and deploy applications, including AI-enabled apps, at scale.
- 164jmix.io
https://www.cuba-platform.com/
Jmix is a general-purpose high productivity software development platform for building line-of-business applications powered by a professional development environment IntelliJ IDEA and focused on implementing advanced business logic compared to Low Code and BPM platforms.
- 165Eclipse Deeplearning4j
https://deeplearning4j.org
The Eclipse Deeplearning4j Project. Eclipse Deeplearning4j has 4 repositories available. Follow their code on GitHub.
- 166Cross-Platform App Development with Java/Kotlin
https://www.codenameone.com
Open-source cross-platform mobile app development framework to build native iOS, Android, Desktop & Web apps with a single Java or Kotlin codebase.
- 167Alibaba Dragonwell8 JDK
https://github.com/alibaba/dragonwell8
Alibaba Dragonwell8 JDK. Contribute to dragonwell-project/dragonwell8 development by creating an account on GitHub.
- 168Integrate with the latest language models, image generation, speech, and deep learning frameworks like ChatGPT, DALL·E, and Cohere using few java lines.
https://github.com/Barqawiz/IntelliJava
Integrate with the latest language models, image generation, speech, and deep learning frameworks like ChatGPT, DALL·E, and Cohere using few java lines. - intelligentnode/IntelliJava
- 169Apache Pulsar | Apache Pulsar
https://pulsar.apache.org
Apache Pulsar is an open-source, distributed messaging and streaming platform built for the cloud.
- 170Eclipse OpenJ9: A Java Virtual Machine for OpenJDK that's optimized for small footprint, fast start-up, and high throughput. Builds on Eclipse OMR (https://github.com/eclipse/omr) and combines with the Extensions for OpenJDK for OpenJ9 repo.
https://github.com/eclipse/openj9
Eclipse OpenJ9: A Java Virtual Machine for OpenJDK that's optimized for small footprint, fast start-up, and high throughput. Builds on Eclipse OMR (https://github.com/eclipse/omr) and combine...
- 171Tink is a multi-language, cross-platform, open source library that provides cryptographic APIs that are secure, easy to use correctly, and hard(er) to misuse.
https://github.com/google/tink
Tink is a multi-language, cross-platform, open source library that provides cryptographic APIs that are secure, easy to use correctly, and hard(er) to misuse. - tink-crypto/tink
- 172APM, (Application Performance Management) tool for large-scale distributed systems.
https://github.com/naver/pinpoint
APM, (Application Performance Management) tool for large-scale distributed systems. - GitHub - pinpoint-apm/pinpoint: APM, (Application Performance Management) tool for large-scale distributed sys...
- 173Java wrapper for the popular chat & VOIP service: Discord https://discord.com
https://github.com/DV8FromTheWorld/JDA
Java wrapper for the popular chat & VOIP service: Discord https://discord.com - discord-jda/JDA
- 174Home - ISA-Ali
http://alias-i.com/lingpipe/
The School’s goals and methods are strikingly different from many short-term computer courses. Teaching programming is not reduced to listing and mindlessly memorizing language statements, which eventually the student does not know how to apply to the solution of a particular problem.
- 175API gateway for REST, OpenAPI, GraphQL and SOAP written in Java.
https://github.com/membrane/service-proxy
API gateway for REST, OpenAPI, GraphQL and SOAP written in Java. - membrane/api-gateway
- 176AutoMQ is a cloud-first alternative to Kafka by decoupling durability to S3 and EBS. 10x cost-effective. Autoscale in seconds. Single-digit ms latency.
https://github.com/AutoMQ/automq-for-kafka
AutoMQ is a cloud-first alternative to Kafka by decoupling durability to S3 and EBS. 10x cost-effective. Autoscale in seconds. Single-digit ms latency. - AutoMQ/automq
- 177A scientific charting library focused on performance optimised real-time data visualisation at 25 Hz update rates for data sets with a few 10 thousand up to 5 million data points.
https://github.com/GSI-CS-CO/chart-fx
A scientific charting library focused on performance optimised real-time data visualisation at 25 Hz update rates for data sets with a few 10 thousand up to 5 million data points. - fair-acc/chart-fx
- 178A blazingly fast multi-language serialization framework powered by JIT and zero-copy.
https://github.com/alipay/fury
A blazingly fast multi-language serialization framework powered by JIT and zero-copy. - apache/fury
- 179Home
https://www.graylog.org
Graylog is a leading centralized log management solution for capturing, storing, and enabling real-time analysis of terabytes of machine data.
- 180Apache HertzBeat(incubating) is a real-time monitoring system with agentless, performance cluster, prometheus-compatible, custom monitoring and status page building capabilities.
https://github.com/dromara/hertzbeat
Apache HertzBeat(incubating) is a real-time monitoring system with agentless, performance cluster, prometheus-compatible, custom monitoring and status page building capabilities. - apache/hertzbeat
- 181Cloud Computing Services | Google Cloud
https://cloud.google.com
Meet your business challenges head on with cloud computing services from Google, including data management, hybrid & multi-cloud, and AI & ML.
- 182Test Automation Made Simple
https://github.com/intuit/karate
Test Automation Made Simple. Contribute to karatelabs/karate development by creating an account on GitHub.
- 183MockServer
https://www.mock-server.com
MockServer enables easy mocking of any system you integrate with via HTTP or HTTPS. It also proxies, allowing introspection and modification of proxied traffic, with all proxy protocols (i.e. port forwarding, HTTP, HTTPS, SOCKS4, SOCKS5, etc).
- 184Javalin - A lightweight Java and Kotlin web framework. Create REST APIs in Java or Kotlin easily.
https://javalin.io/
Javalin - A lightweight Java and Kotlin web framework. Create REST APIs in Java or Kotlin easily.
- 185ActiveJ | Alternative Java platform for web, high load, and cloud programming | ActiveJ 6.0
https://activej.io
ActiveJ is an alternative Java platform built from the ground up for web, high load, and cloud programming as a replacement for Spring, Quarkus, Vert.x and other sub-optimal solutions
- 186JGit | The Eclipse Foundation
https://www.eclipse.org/jgit/
The Eclipse Foundation - home to a global community, the Eclipse IDE, Jakarta EE and over 415 open source projects, including runtimes, tools and frameworks.
- 187Awesome Java | LibHunt
https://java.libhunt.com
Your go-to Java Toolbox. A curated list of awesome Java frameworks, libraries and software. 1050 projects organized into 134 categories.
- 188PrimeFaces
https://www.primefaces.org
Ultimate UI Framework
- 189Head First Java, 3rd Edition
https://www.oreilly.com/library/view/head-first-java/9781492091646/
What will you learn from this book? Head First Java is a complete learning experience in Java and object-oriented programming. With this book, you'll learn the Java language with a … - Selection from Head First Java, 3rd Edition [Book]
- 190WireMock - flexible, open source API mocking
http://wiremock.org
WireMock is a tool for building mock APIs. API mocking enables you build stable, predictable development environments when the APIs you depend on are unreliable or don’t exist.
- 191Java, SQL and jOOQ.
https://blog.jooq.org
Oracle 23ai still doesn't support the standard SQL FILTER clause on aggregate functions, which can prove to be tricky to emulate on JSON aggregate functions
- 192Roadmap to becoming a Java developer in 2024
https://github.com/s4kibs4mi/java-developer-roadmap
Roadmap to becoming a Java developer in 2024. Contribute to s4kibs4mi/java-developer-roadmap development by creating an account on GitHub.
- 193The SDKMAN! Command Line Interface
https://github.com/sdkman/sdkman-cli
The SDKMAN! Command Line Interface. Contribute to sdkman/sdkman-cli development by creating an account on GitHub.
- 194Java regular expressions made easy.
https://github.com/VerbalExpressions/JavaVerbalExpressions
Java regular expressions made easy. Contribute to VerbalExpressions/JavaVerbalExpressions development by creating an account on GitHub.
- 195Load testing designed for DevOps and CI/CD | Gatling
https://gatling.io
Gatling is a load testing tool for web applications designed for DevOps and Continuous Integration. Try Gatling now!
- 196(cross-platform) Java Version Manager
https://github.com/shyiko/jabba
(cross-platform) Java Version Manager. Contribute to shyiko/jabba development by creating an account on GitHub.
- 197Easy Setup Stub Server
https://github.com/dreamhead/moco
Easy Setup Stub Server. Contribute to dreamhead/moco development by creating an account on GitHub.
- 198Object-Oriented Java primitives, as an alternative to Google Guava and Apache Commons
https://github.com/yegor256/cactoos
Object-Oriented Java primitives, as an alternative to Google Guava and Apache Commons - yegor256/cactoos
- 199foojay – a place for friends of OpenJDK
https://foojay.io/today/category/podcast/
foojay is a place for friends of OpenJDK, a one stop shop for all things Java. Learn More.
- 200Build Modern Web Apps using Java Full-Stack platform
https://vaadin.com
Vaadin is a full-stack platform for building responsive, modern web applications in Java with a library of UI components and powerful development tools.
- 201Newest 'java' Questions
https://stackoverflow.com/questions/tagged/java
Stack Overflow | The World’s Largest Online Community for Developers
- 202The Well-Grounded Java Developer, Second Edition
https://www.manning.com/books/the-well-grounded-java-developer-second-edition
Understanding Java from the JVM up gives you a solid foundation to grow your expertise and take on advanced techniques for performance, concurrency, containerization, and more.</b><br/><br/> In The Well-Grounded Java Developer, Second Edition</i> you will learn: The new Java module system and why you should use it</li> Bytecode for the JVM, including operations and classloading</li> Performance tuning the JVM</li> Working with Java’s built-in concurrency and expanded options</li> Programming in Kotlin and Clojure on the JVM</li> Maximizing the benefits from your build/CI tooling with Maven and Gradle</li> Running the JVM in containers</li> Planning for future JVM releases</li> </ul> The Well-Grounded Java Developer, Second Edition</i> introduces both the modern innovations and timeless fundamentals you need to know to become a Java master. Authors Ben Evans, Martijn Verburg, and Jason Clark distill their decades of experience as Java Champions, veteran developers, and key contributors to the Java ecosystem into this clear and practical guide. You’ll discover how Java works under the hood and learn design secrets from Java’s long history. Each concept is illustrated with hands-on examples, including a fully modularized application/library and creating your own multithreaded application.
- 203A curated list of resources related to the Java annotation processing API (JSR 269)
https://github.com/gunnarmorling/awesome-annotation-processing
A curated list of resources related to the Java annotation processing API (JSR 269) - gunnarmorling/awesome-annotation-processing
- 204MinIO Client SDK for Java
https://github.com/minio/minio-java
MinIO Client SDK for Java. Contribute to minio/minio-java development by creating an account on GitHub.
- 205Snapshot testing for Java, Kotlin, and the JVM
https://github.com/diffplug/selfie
Snapshot testing for Java, Kotlin, and the JVM. Contribute to diffplug/selfie development by creating an account on GitHub.
- 206Google core libraries for Java
https://github.com/google/guava
Google core libraries for Java. Contribute to google/guava development by creating an account on GitHub.
- 207PowerMock is a Java framework that allows you to unit test code normally regarded as untestable.
https://github.com/powermock/powermock
PowerMock is a Java framework that allows you to unit test code normally regarded as untestable. - powermock/powermock
- 208🎯 ConsoleCaptor captures console output for unit and integration testing purposes
https://github.com/Hakky54/console-captor
🎯 ConsoleCaptor captures console output for unit and integration testing purposes - Hakky54/console-captor
- 209A TestNG like dataprovider runner for JUnit with many additional features
https://github.com/TNG/junit-dataprovider
A TestNG like dataprovider runner for JUnit with many additional features - TNG/junit-dataprovider
- 210A curated list of awesome Gradle plugins and resources for a better development workflow automation.
https://github.com/ksoichiro/awesome-gradle
A curated list of awesome Gradle plugins and resources for a better development workflow automation. - ksoichiro/awesome-gradle
- 211A curated list of delightful Selenium resources.
https://github.com/christian-bromann/awesome-selenium
A curated list of delightful Selenium resources. Contribute to christian-bromann/awesome-selenium development by creating an account on GitHub.
- 212Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.
https://github.com/PatMartin/Dex
Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations. - PatMartin/Dex
- 213Java lib for monitoring directories or individual files via java.nio.file.WatchService
https://github.com/vorburger/ch.vorburger.fswatch
Java lib for monitoring directories or individual files via java.nio.file.WatchService - vorburger/ch.vorburger.fswatch
- 214A collaborative list of great resources about RESTful API architecture, development, test, and performance
https://github.com/marmelab/awesome-rest
A collaborative list of great resources about RESTful API architecture, development, test, and performance - marmelab/awesome-rest
- 215EasyMock, makes mocking easier since 2001
https://github.com/easymock/easymock
EasyMock, makes mocking easier since 2001. Contribute to easymock/easymock development by creating an account on GitHub.
- 216Test if a request/response matches a given raml definition
https://github.com/nidi3/raml-tester
Test if a request/response matches a given raml definition - nidi3/raml-tester
- 217dregex is a Java library that implements a regular expression engine using deterministic finite automata (DFA). It supports some Perl-style features and yet retains linear matching time, and also offers set operations.
https://github.com/marianobarrios/dregex
dregex is a Java library that implements a regular expression engine using deterministic finite automata (DFA). It supports some Perl-style features and yet retains linear matching time, and also o...
- 218Java scope functions inspired by Kotlin
https://github.com/evpl/jkscope
Java scope functions inspired by Kotlin. Contribute to evpl/jkscope development by creating an account on GitHub.
- 219A scalable web crawler framework for Java.
https://github.com/code4craft/webmagic
A scalable web crawler framework for Java. Contribute to code4craft/webmagic development by creating an account on GitHub.
- 220Manage your Java environment
https://github.com/jenv/jenv
Manage your Java environment . Contribute to jenv/jenv development by creating an account on GitHub.
- 221:rocket: Lightning fast and elegant mvc framework for Java8
https://github.com/lets-blade/blade
:rocket: Lightning fast and elegant mvc framework for Java8 - lets-blade/blade
- 222A curated list of awesome JavaFX libraries, books, frameworks, etc...
https://github.com/mhrimaz/AwesomeJavaFX
A curated list of awesome JavaFX libraries, books, frameworks, etc... - mhrimaz/AwesomeJavaFX
- 223java port of Underscore.js
https://github.com/javadev/underscore-java
java port of Underscore.js. Contribute to javadev/underscore-java development by creating an account on GitHub.
- 224A curated list of Microservice Architecture related principles and technologies.
https://github.com/mfornos/awesome-microservices
A curated list of Microservice Architecture related principles and technologies. - mfornos/awesome-microservices
- 225Baeldung
https://www.baeldung.com
In-depth, to-the-point tutorials on Java, Spring, Spring Boot, Security, and REST.
- 226A curated list of awesome loosely performance related JVM stuff. Inspired by awesome-python.
https://github.com/deephacks/awesome-jvm
A curated list of awesome loosely performance related JVM stuff. Inspired by awesome-python. - deephacks/awesome-jvm
- 227Gephi - The Open Graph Viz Platform
https://github.com/gephi/gephi
Gephi - The Open Graph Viz Platform. Contribute to gephi/gephi development by creating an account on GitHub.
- 228🎯 LogCaptor captures log entries for unit and integration testing purposes
https://github.com/Hakky54/log-captor
🎯 LogCaptor captures log entries for unit and integration testing purposes - Hakky54/log-captor
- 229Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas
https://github.com/alibaba/arthas
Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas - alibaba/arthas
- 230A curated list of awesome resources for Graal, GraalVM, Truffle and related topics
https://github.com/neomatrix369/awesome-graal
A curated list of awesome resources for Graal, GraalVM, Truffle and related topics - neomatrix369/awesome-graal
- 231A library that generates postman collection and integration tests from java code
https://github.com/cleopatra27/chocotea
A library that generates postman collection and integration tests from java code - cleopatra27/chocotea
- 232Programming & DevOps news, tutorials & tools
https://dzone.com
Programming, Web Development, and DevOps news, tutorials and tools for beginners to experts. Hundreds of free publications, over 1M members, totally free.
- 233Free Java & OpenJDK Info for Daily Java Usage | foojay
https://foojay.io
A place for friends of OpenJDK, foojay provides user-focused Java and OpenJDK technical info and dashboards with free data for everyday Java developers.
- 234Semantic versioning for Java apps.
https://github.com/semver4j/semver4j
Semantic versioning for Java apps. Contribute to semver4j/semver4j development by creating an account on GitHub.
- 235Developer Community
https://community.oracle.com/community/java
What is Oracle Forums? A place where you can connect, learn and explore. Whether you are a product manager, marketing manager, or general tech enthusiast, we welcome you. In Oracle Forums, you can cre...
- 236Most popular Mocking framework for unit tests written in Java
https://github.com/mockito/mockito
Most popular Mocking framework for unit tests written in Java - mockito/mockito
- 237assertions for logging with logback
https://github.com/dm-drogeriemarkt/log-capture
assertions for logging with logback. Contribute to dm-drogeriemarkt/log-capture development by creating an account on GitHub.
- 238Lightweight analysis tool for detecting mutability in Java classes
https://github.com/MutabilityDetector/MutabilityDetector
Lightweight analysis tool for detecting mutability in Java classes - MutabilityDetector/MutabilityDetector
- 239A Java architecture test library, to specify and assert architecture rules in plain Java
https://github.com/TNG/ArchUnit
A Java architecture test library, to specify and assert architecture rules in plain Java - TNG/ArchUnit
- 240A compact and highly efficient workflow and Business Process Management (BPM) platform for developers, system admins and business users.
https://github.com/flowable/flowable-engine
A compact and highly efficient workflow and Business Process Management (BPM) platform for developers, system admins and business users. - flowable/flowable-engine
- 241Testcontainers is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.
https://github.com/testcontainers/testcontainers-java
Testcontainers is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker containe...
- 242Embulk: Pluggable Bulk Data Loader.
https://github.com/embulk/embulk
Embulk: Pluggable Bulk Data Loader. Contribute to embulk/embulk development by creating an account on GitHub.
- 243Open Source Web Crawler for Java
https://github.com/yasserg/crawler4j
Open Source Web Crawler for Java. Contribute to yasserg/crawler4j development by creating an account on GitHub.
- 244True Object-Oriented Java Web Framework without NULLs, Static Methods, Annotations, and Mutable Objects
https://github.com/yegor256/takes
True Object-Oriented Java Web Framework without NULLs, Static Methods, Annotations, and Mutable Objects - yegor256/takes
- 245XMLUnit for Java 2.x
https://github.com/xmlunit/xmlunit
XMLUnit for Java 2.x. Contribute to xmlunit/xmlunit development by creating an account on GitHub.
- 246Compare JSON in your Unit Tests
https://github.com/lukas-krecan/JsonUnit
Compare JSON in your Unit Tests. Contribute to lukas-krecan/JsonUnit development by creating an account on GitHub.
- 247Improve Service Reliability with AI
https://blog.overops.com
Use AI to enhance software delivery with automated SLO tracking and change impact analysis for better reliability.
- 248A curated list of delightful SAP Commerce resources.
https://github.com/eminyagiz42/awesome-hybris
A curated list of delightful SAP Commerce resources. - eminyagiz42/awesome-sap-commerce
- 249Java rate limiting library based on token-bucket algorithm.
https://github.com/vladimir-bukhtoyarov/bucket4j
Java rate limiting library based on token-bucket algorithm. - bucket4j/bucket4j
- 250JVM version of Pact. Enables consumer driven contract testing, providing a mock service and DSL for the consumer project, and interaction playback and verification for the service provider project.
https://github.com/DiUS/pact-jvm
JVM version of Pact. Enables consumer driven contract testing, providing a mock service and DSL for the consumer project, and interaction playback and verification for the service provider project....
- 251Checklist for code reviews
https://github.com/code-review-checklists/java-concurrency
Checklist for code reviews. Contribute to code-review-checklists/java-concurrency development by creating an account on GitHub.
- 252continuous integration and continuous delivery
https://github.com/ciandcd/awesome-ciandcd
continuous integration and continuous delivery. Contribute to cicdops/awesome-ciandcd development by creating an account on GitHub.
- 253A list of useful Java frameworks, libraries, software and hello worlds examples
https://github.com/Vedenin/useful-java-links
A list of useful Java frameworks, libraries, software and hello worlds examples - Vedenin/useful-java-links
Related Articlesto learn about angular.
- 1Java Programming 101: Beginner's Guide to Object-Oriented Programming
- 2Java Data Types and Variables: A Complete Guide for Beginners
- 3Java Generics: How to Write Type-Safe Code
- 4Java Streams and Lambda Expressions: Comprehensive Guide
- 5Building Web Applications with Java and Spring Boot
- 6Java Web Frameworks Compared: Spring vs. JSF vs. Struts
- 7Building Scalable and Robust Applications with Java EE: Enterprise Java
- 8Java Message Service (JMS) for Enterprise Applications
- 9Android Development: Building Your First App with Java
- 10Using Java for Android App Performance Optimization
FAQ'sto learn more about Angular JS.
mail [email protected] to add more queries here 🔍.
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