Karate Testing Framework

repository·main·Indexed 26 days ago

https://github.com/karatelabs/karate

A unified open-source testing framework that integrates API testing, service mocking, performance testing, and UI automation. It includes karate-core for HTTP clients and servers, a Thymeleaf-based Markup engine, a JSON/XML assertion library (Match), and karate-js for executing ES6 JavaScript on the JVM. Additionally, the karate-image extension provides visual comparison capabilities with support for resemble and ssim engines and an interactive report lightbox for debugging.

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What's inside Karate

  1. Overview of Karate v2

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    Karate v2 is a unified test automation framework that combines API testing, mocking, and performance testing. It is built on Java 21+ and features a custom, thread-safe JavaScript engine designed for parallel execution.

    Key capabilities include:

    • API Test Automation: Expressive Gherkin-based tests with JSON and XML assertions.
    • Mock Servers: Built-in HTTP server for dynamic API mocking.
    • Performance Testing: Seamless transition from functional tests to load tests.
    • HTML Templating: Thymeleaf-based templating with support for HTMX and AlpineJS.
    • Thread-Safe JavaScript: A lightweight JS engine for the JVM optimized for concurrency.
  2. Overview of karate-core components

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    The karate-core framework consists of several specialized modules:

    • HTTP (io.karatelabs.io.http): Provides an Apache HttpClient-based client (with request builder) and a Netty-based server. Supports Basic, Bearer, and OAuth2 (Client Credentials, Authorization Code with PKCE) authentication, session management with cookies, and CSRF protection.
    • Markup (io.karatelabs.markup): A Thymeleaf-based engine featuring a custom Karate Dialect, built-in HTMX support, and integration with the karate-js engine.
    • Match (io.karatelabs.match): An assertion library for JSON (with wildcards), XML, schema validation, and fuzzy matching.
    • Core Runtime (io.karatelabs.core): Includes ScenarioRuntime for test execution and KarateJs as a bridge to the JavaScript engine.
  3. Overview of the karate-js JavaScript engine

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    karate-js is a lightweight JavaScript engine implemented in Java. It is designed for thread-safe concurrent execution, seamless Java interop, API testing, and data transformation. Unlike many other JS engines, it maintains a minimal footprint and does not require a GraalVM dependency.
  4. Overview of karate-js architecture

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    The karate-js engine is a lightweight, thread-safe JavaScript engine implemented in Java. It targets idiomatic ES6 and has minimal dependencies (SLF4J and JSON-smart).

    Core packages include:

    • io.karatelabs.js: Core JavaScript engine (interpreter, runtime, built-in types).
    • io.karatelabs.parser: Parsing infrastructure (lexer, parser, AST nodes).
    • io.karatelabs.common: Shared utilities (file, OS, string operations).
  5. Understand the Match Engine and Fuzzy Markers

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    The Karate match engine (io.karatelabs.match) performs deep comparisons and collects all mismatches in a single pass rather than failing on the first one. This allows for fixing multiple errors in one iteration.

    It supports Fuzzy Markers for schema-like validation:

    • #string, #number, #null, #notpresent
    • #regex(...)
    • #?<expr> (JS predicate)
    • ## (optional marker)
    • $ (cross-field references)
  6. Understand the Karate v2 CLI Architecture

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    The Karate v2 CLI uses a two-tier architecture to separate system management from test execution:

    1. Rust Launcher (karate binary): Handles installation and management tasks. It provides commands for setup, update, config, init, doctor, and version.
    2. Java CLI (io.karatelabs.Main): Handles runtime execution and test features. It receives arguments from the Rust launcher and provides commands for run, mock, clean, and init (note: init is implemented in Rust to scaffold projects before the JVM is required).

    Use the Rust launcher for environment setup and the Java CLI for running your actual test suites.

  7. Understand the Karate Extension SPI (Ext SPI) limitations

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    The Karate Extension SPI is currently in a forward-looking design phase. Note the following current limitations and design decisions:

    • Activation: Extensions are NOT auto-discovered via ServiceLoader. You must explicitly activate an extension using boot.ext('name').
    • Asset Bundling: The ReportAssets interface currently supports only a single .js() and .css() file per extension. If your extension requires multiple files, you must concatenate them into a single bundle.
    • Keyword Authoring: Currently, extensions are driven via property-setters (e.g., * image.threshold = 0.02) and JS method calls (e.g., * def r = image.compare(...)). Advanced DSL features like JSON-arg dispatch or Cucumber-like pattern matching are planned but not yet implemented.
    • Global Shadowing: While Karate detects collisions with built-in names (like karate or read), registering an extension global that shares a name with a user-defined variable (def) may cause shadowing issues.
  8. Explore Karate v2 Deep-Dive Documentation

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    The Karate v2 design documentation provides specialized guides for advanced usage and extension. Depending on your goal, you should refer to the following specific documentation files:

    • CLI usage: For details on the two-tier CLI (Rust launcher + Java), subcommands, and karate-pom.json.
    • Extending Karate: For the Ext SPI, authoring extensions, managing globals, report assets, embeds, and the registerEmbed UI hook.
    • JavaScript Engine: For the JsValue hierarchy, Java interop, and prototypes.
    • Browser Automation: For the Driver API, including CDP, W3C WebDriver, and frame/window management.
    • Mock Servers: For feature-based definitions, proxy mode, and stateful mocks.
    • Performance Testing: For Gatling integration, Java DSL, session chaining, and HTTP pooling.
    • HTML Templating: For Thymeleaf + JS expressions, HTMX, and server/static modes.
    • Migration: For upgrading from V1 to V2.
  9. Integrate Karate with Gatling (v2 Port Plan)

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    The karate-gatling module allows for performance testing by integrating Karate's functional testing capabilities with the Gatling engine.

    Key Integration Details:

    • DSL Strategy: Uses a Java-only DSL. Scala users should use the Java DSL directly.
    • Session Variables: Accessing session variables requires using the __karate or __gatling prefix. Note that unprefixed top-level access is a breaking change from v1.
    • Async Model: Integrates with Gatling's execution model using PerfHook.submit().
    • Reporting: Supports both HTML (Highcharts) and JSON formats (--format json).
    • Scope: The CLI scope is limited to features only (no --simulation class support).
  10. Understand the Karate v2 Architecture

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    Karate's execution model follows a hierarchical structure: a Suite orchestrates the execution, which manages FeatureRuntime instances. Each feature contains ScenarioRuntime instances, which in turn use a StepExecutor to dispatch actions. The StepExecutor interacts with specialized engines for matching, HTTP communication, and other actions.

    Suite → FeatureRuntime → ScenarioRuntime → StepExecutor
                                                   ↓
                                  ┌────────────────┼────────────────┐
                                  ▼                ▼                ▼
                             Match Engine    Http Client    Other Actions
  11. Design principles of karate-js

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    The karate-js engine follows several core design principles to ensure performance and compatibility:

    • Lazy overhead: Wrapper objects (like CallInfo) are only created when necessary (e.g., during new operations).
    • Internal vs external representation: The internal state of an object may differ from the output of getJavaValue().
    • Preserve JS semantics: The engine ensures typeof, instanceof, and truthiness match the official JavaScript specification.
    • Java interop friendly: The getJavaValue() method is designed to return idiomatic Java types.
    • Performance first: Primitives are kept as Java primitives in common execution paths.
    • Flexible input, consistent output: The engine accepts multiple Java types as input but returns a single preferred type.
    • Unwrap first pattern: Developers should use getJsValue() to unwrap JsValue types before performing type switches on raw types.
    • Consistent "this" resolution: The engine uses the fromThis(Context) pattern across all JsObject subclasses to resolve the execution context.