Key Points
References
Key Concepts
curl
https://flaviocopes.com/http-curl/
https://curl.haxx.se/docs/manual.html
curl is a a command line tool that allows to transfer data across the network.
It supports lots of protocols out of the box, including HTTP, HTTPS, FTP, FTPS, SFTP, IMAP, SMTP, POP3, and many more.
When it comes to debugging network requests, curl is one of the best tools you can find.
It’s one of those tools that once you know how to use you always get back to. A programmer’s best friend.
It’s universal, it runs on Linux, Mac, Windows. Refer to the official installation guide to install it on your system.
Fun fact: the author and maintainer of curl, swedish, was awarded by the king of Sweden for the contributions that his work (curl and libcurl) did to the computing world.
Let’s dive into some of the commands and operations that you are most likely to want to perform when working with HTTP requests.
Those examples involve working with HTTP, the most popular protocol.
- Perform an HTTP GET request
- Get the HTTP response headers
- Only get the HTTP response headers
- Perform an HTTP POST request
- Perform an HTTP POST request sending JSON
- Perform an HTTP PUT request
- Follow a redirect
- Store the response to a file
- Using HTTP authentication
- Set a different User Agent
- Inspecting all the details of the request and the response
- Copying any browser network request to a curl command
Perform an HTTP GET request
When you perform a request, curl will return the body of the response:
curl https://flaviocopes.com/
Get the HTTP response headers
By default the response headers are hidden in the output of curl. To show them, use the i
option:
curl -i https://flaviocopes.com/
Only get the HTTP response headers
Using the I
option, you can get only the headers, and not the response body:
curl -I https://flaviocopes.com/
Perform an HTTP POST request
The X
option lets you change the HTTP method used. By default, GET is used, and it’s the same as writing
curl -X GET https://flaviocopes.com/
Using -X POST
will perform a POST request.
You can perform a POST request passing data URL encoded:
curl -d "option=value&something=anothervalue" -X POST https://flaviocopes.com/
Perform an HTTP POST request sending JSON
Instead of posting data URL-encoded, like in the example above, you might want to send JSON.
In this case you need to explicitly set the Content-Type header, by using the H
option:
curl -d '{"option": "value", "something": "anothervalue"}' -H "Content-Type: application/json" -X POST https://flaviocopes.com/
You can also send a JSON file from your disk:
curl -d "@my-file.json" -X POST https://flaviocopes.com/
curl tutorial
curl-flaviocopes.com-The curl guide to HTTP requests.pdf
Swagger - OpenAPI
Free Postman account
jm9@gmail
https://web.postman.co/workspaces?type=personal
api requests in a collection can be created, copied, moved, deleted
Create a public login request
/login in a collection in the workspace
create an API request test
url
{{authenticationBaseUrl}}/login
body
{
"email": "{{userEmail}}",
"password": "{{userPassword}}"
}
authorization type for request
headers
cookies ( 1 )
__cfduid=d788c04eea1b79504ecad092f49a88c4f1565225862; path=/; domain=.dmx.io; HttpOnly; Expires=Fri, 07 Aug 2020 00:57:42 GMT;
create test scripts
before and after request
after request script - sets environment variables from returned json jwt
const jsonData = JSON.parse(responseBody);
postman.setEnvironmentVariable("DMXToken", jsonData.token);
postman.setEnvironmentVariable("userId", jsonData.user._id);
const authDataUserEmail = jsonData.user.email;
postman.setEnvironmentVariable("userEmail", authDataUserEmail);
const authDataUserEmailDomain = authDataUserEmail.split("@")[1];
postman.setEnvironmentVariable("userEmailDomain", authDataUserEmailDomain);
How to Use Postman
https://www.getpostman.com/how-api-collaboration-works
need for collaboration has grown and changed as APIs have become more integrated with services—and even become products themselves. Now, API consumers aren't just developers. They are customer support, go-to-market, and developer relations teams who need to stay up-to-date on the latest changes.
API-First Development
An API-first approach starts with API design and development before writing a single line of code. This allows you to:
Save time and effort by gathering feedback and make changes early,
Ensure compatibility with all devices, platforms, and operating systems.
Code and API Repositories
Just like code, APIs need a single, dedicated space that:
Allows both producers and consumers to find, build, and learn about APIs,
Integrates with source code repositories to keep the API and software development lifecycles in sync.
Producers and Consumers
API development requires close collaboration between consumers and producers.
Consumers need stay up-to-date on the latest changes to how the API works,
Producers need feedback from consumers to ensure they're building the right thing.
Postman makes it easy to create this feedback cycle by providing a single platform where producers and consumers can work and communicate together.jbeh
Integrations
Building APIs is complex and requires a number of different tools. Postman helps the tools you use work better together through:
Built-in integrations and the Postman API.
Easy integrations with third-party tools like GitHub, Datadog, and many more.
What is a Workspace?
A workspace is a shared context for building and consuming APIs. Postman workspaces allow real-time collaboration within and between teams with built-in version control.
Create a Shared Context
Workspaces provide a shared context for your APIs, helping your team get up to speed and stay up to date. With workspaces, you can:
Mirror your team's workflow with workspaces dedicated to a particular project or to specific functions like technical writing or testing.
Join multiple workspaces and share work across all of them.
Invite Users and Share Work
Invite as many users as you want to collaborate in workspaces.
Maintain granular access control with roles and permissions.
Collaborate on collections in real time to keep teams on the same page.
Create a Feedback Loop
Use comments to give and receive feedback on requests, APIs, and collections, creating faster feedback cycles that reduce development time.
Work in Parallel with Version Control
Workspaces support core version control concepts like forking, merging, and conflict resolution, allowing teams to:
Easily resolve conflicts.
Collaborate on multiple forks simultaneously.
Seamlessly merge changes.
What is a Collection?
Collections are executable API descriptions. They are groups of related requests and are the primary building block for all of Postman's features, allowing you to build mock servers, generate documentation, create monitors and build test suites.
Collections: Executable API Descriptions
While static API descriptions in the OpenAPI, RAML, or GraphQL formats describe how your API is supposed to behave, collections show how it actually behaves.
To keep your collections and schemas in sync, write and edit the schema directly in Postman or import a schema and convert it into a collection.
Postman Runtime
The open source Postman Runtime executes all API requests, ensuring consistent request execution across Postman's products, including:
The Postman App
Newman , our open-source command line tool
Postman's monitoring service
Postman Collection SDK
The Postman Collection SDK is an open-source project that defines the collection format. It provides:
Helpful tools for generating and parsing collections,
Visibility into the collection format, defined by a JSON-based schema
What is an API in Postman?
An API in Postman defines metadata like name, descriptions, and versions, along with elements like schema, documentation, environments, and test suites.
Organize Your API Workflow
Manage your workflow in four stages.
Define APIs in formats like OpenAPI, GraphQL, and RAML.
Develop your API by adding mock servers, documentation, and environments to specific API versions.
Test your API by writing integration and contract tests.
Observe your API by monitoring it for performance and response time.
Track Development with Version Tags
Easily maintain multiple versions of an API and its elements at the same time.
Define multiple versions of an API.
Keep track of you development process.
Organize your work with your preferred naming convention.
Increase Flexibility with Schemas
Write, edit, and import schemas in Postman.
Create APIs with schema formats including OpenAPI, GraphQL, and RAML.
Easily generate collections from your API schema.
Develop in parallel by sharing schemas with development and testing teams early on.
Connect It All on One Platform
Organize and manage every aspect of your API development workflow in one place.
Maintain a sharable source of truth between your team and with other teams.
Maintain multiple versions of your API and API elements in one place.
Automatic syncing ensures all linked elements are up-to-date and in sync.
Automating API tests in Postman
https://www.postman.com/use-cases/api-testing-automation
Robot Framework for Test Automation
is Robotframework's HttpLibrary (Requests)
Robot Framework is a generic open source automation framework. It can be used for test automation and robotic process automation (RPA).
Robot Framework is actively supported, with many industry-leading companies using it in their software development.
Robot Framework is open and extensible and can be integrated with virtually any other tool to create powerful and flexible automation solutions. Being open source also means that Robot Framework is free to use without licensing costs.
Robot Framework has easy syntax, utilizing human-readable keywords. Its capabilities can be extended by libraries implemented with Python or Java. The framework has a rich ecosystem around it, consisting of libraries and tools that are developed as separate projects.
Robot Framework project is hosted on GitHub where you can find further documentation, source code, and issue tracker. Downloads are hosted at PyPI.
Robot Framework is operating system and application independent. The core framework is implemented using Python and also runs on Jython (JVM) and IronPython (.NET).
Robot Framework itself is open source software released under Apache License 2.0, and most of the libraries and tools in the ecosystem are also open source
Run Reports
Define Keywords for Test Case ( variable )
Set Values for Keywords in Test
Libraries contain framework functions
Libraries provide the actual automation and testing capabilities to Robot Framework by providing keywords. Several standard libraries are bundled in with the framework, and galore of separately developed external libraries that can be installed based on your needs. Creating your own libraries is a breeze.
Standard
Builtin
Provides a set of often needed generic keywords. Always automatically available without imports.
Operating System
Enables various operating system related tasks to be performed in the system where Robot Framework is running.
String
Library for generating, modifying and verifying strings.
Process
Library for running processes in the system. New in Robot Framework 2.8.
External
Dialogs
Provides means for pausing the execution and getting input from users.
Remote
Special library acting as a proxy between Robot Framework and libraries elsewhere. Actual libraries can be running on different machines and be implemented using any programming language supporting XML-RPC protocol.
Telnet
Makes it possible to connect to Telnet servers and execute commands on the opened connections.
DateTime
Library for date and time conversions. New in Robot Framework 2.8.5.
Other
Collections
Provides a set of keywords for handling Python lists and dictionaries.
Screenshot
Provides keywords to capture screenshots of the desktop.
XML
Library for generating, modifying and verifying XML files.
Tools
Built in Tools
Tool for generating logs and reports based on XML outputs and for combining multiple outputs together.
Tool for generating keyword documentation for libraries and resource files.
Generates high level HTML documentation based on Robot Framework test cases.
Tool for cleaning up and changing format of Robot Framework data files.
Editor Plugins for many Editors
Plugins for Build Tools
Plugin to collect and publish Robot Framework execution results in Jenkins.
Maven plugin for using Robot Framework.
Ant task for running Robot Framework tests.
Other RPA Automation Tools for Robot
Learn Postman
https://learning.getpostman.com/
Microshed - test framework for Java microservices in containers
https://github.com/MicroShed/microshed-testing
MicroShed Testing offers a fast and simple way of writing and running true-to-production integration tests for Java microservice applications. MicroShed Testing exercises your containerized application from outside the container so you are testing the exact same image that runs in production.
MicroShed Testing aims to:
- be easy to get started with
- work with any Java EE, Jakarta EE or MicroProfile runtime
- provide true-to-production tests
Add Add microshed-testing-testcontainers
and junit-jupiter
as test-scoped dependencies to a Maven project
Run with Maven:
./gradlew publishToMavenLocal
cd sample-apps/maven-app
mvn clean install
Run with Gradle:
./gradlew :microshed-testing-jaxrs-json:test
NOTE: The first run will take longer due to downloading required container layers. Subsequent runs will be faster.
Runs with JEE containers: TomEE, OpenLiberty etc
Sample Java-RS application
Microshed integration tests for Java - RS example
Potential Value Opportunities
Potential Challenges
Candidate Solutions
Webinars voice to Google docs text
speech to text recognition
requires:
Windows 10, Chrome, Google ChromeVox extension, Google Docs, Google Drive, CABLE-Input ( VB-Audio-Cable )
steps after setup done
create new gdoc
select tools voice typing
test
use the audio input from the speaker with the CABLE-INPUT device
start the webinar presentation in another window
voice typing runs in the gdoc
after webinar recording stops, format sentences and paragraphs using groovy script
optionally, download gdoc as a docx file if needed
https://www.howtogeek.com/364369/how-to-record-your-pc%E2%80%99s-audio-with-virtual-audio-cable/
API Test Tools List
An API or Application programming interface is a collection of software functions and procedures through which other software applications can be accessed or executed. In API Testing you use software to send calls to the API, get output and log the system's response. For Agile development, Api Testing becomes important as shorter development cycles put more pressure on automated testing.
Here is a list of top Web Services Testing Tools
1) SOAtest
Parasoft SOAtest is the industry-leading API testing solution, which simplifies the process of creating automated end-to-end test scenarios across multiple layers of modern applications (i.e. mobile, REST APIs, SOAP services, Microservices, databases, Web UIs, ESBs, or mainframes) from a single intuitive interface.
- Rapid and scriptless test creation: Automatically generate tests from a service definition to test design of an API. Use drag and drop tools for data driving, looping and performing complex assertions
- Save time building tests: SOAtest plug-in leverages artificial intelligence to automatically convert UI tests into scriptless API test scenarios
- Change management: SOAtest can identify service schema changes and automatically update your library of tests
- Maximum scalability: Integration for existing SDLC test frameworks and CI infrastructures. Seamless integration with load testing and service virtualization
- Robust and flexible integration: Broad support for 120+ protocols and message formats including JMS, MQ, TCP, File, Copybook, FIX, EDI and many more
2) API Fortress
API Fortress is the most powerful API testing and monitoring solution for REST and SOAP APIs.
- Comprehensive test generation with a single click.
- Web-based collaborative tool for teams. Works within your browser and requires no downloads.
- Intuitive UI that is easy to use at any skill level.
- Simple one-click automation. Test during development and deployments (CI/CD), and monitor functional uptime.
- Robust notification and data integrations.
- Works in the cloud, on-premises, or both in an ad hoc manner.
Hundreds of enterprises have already made the switch. More power, less confusion. The easiest way to automate your API testing and monitoring strategy.
3) Checkly
Checkly is a fresh new API monitoring and site transaction monitoring platform. With its great UI and dashboards, monitoring your crucial API endpoints and vital site click paths has never been easier.
- Flexible and deep API monitoring with support for GraphQL, XML, JSON and extensive request customisation.
- Puppeteer scripted browser clicks flows with assertions and screenshots.
- Email, SMS, Slack and Pagerduty alerting integrations.
- Great public, customisable dashboards & status pages for customers or in the office.
- Full scripting flexibility: use Node.js code to set up custom requests or reset test data.
- Easy CI/CD integration for ad hoc tests and validation.
4) APImetrics
APImetrics active API monitoring gives you up-to-date, accurate reporting of all the APIs and micro-services you supply or depend on, and how they impact your business.
- Test API collections in the real world, from real application servers, hosted on the cloud servers your clients use including AWS, Azure, Google and IBM
- Identify content errors, passing ‘failures’ and networking configuration problems
- State of the art AI trained on a database of over 1 billion API calls to identify hard to spot issues and take you straight to problems
- Integrated analysis and reporting including real time alerts, dashboards and quality scoring with Cloud API Service Consistency (CASC) Scores, a credit score for your API, benchmark your API to your industry
5) Ping API
Ping-API is API testing allows to write test script in JavaScript and CoffeeScript to test your APIs. It allows inspecting HTTP API call with a complete request and response data. For any failures, the user gets a notification through email, slack or Hipchat.
Features:
- Ping- API to schedule test in every minutes or hour
- Support for writing script to set request headers, body and URL parameters. It supports for writing script to validate response headers and body
- Validate CRUD flow and log in to Ping API
Download link: https://ping-api.com/
6) HP QTP(UFT)
It provides an extensible framework helpful in executing and building the functionality of headless system that do not have a user interface. It helps to test the headless technologies like Databases and Webservices, JMS, etc. By using the API test conversion tool, you can convert soapUI tests to UFT (QTP) API tests.
7) vREST
vREST provides an online solution for automated testing, mocking, automated recording and specification of REST/HTTP APIs/RESTful APIs.
- It provides an exhaustive tool to quickly validate your REST APIs
- It delivers zero defect web applications with less effort in API testing
- To validate your web application no skilled resources are required, and it can generate documentation for your API specifications
- API mocks can be created in vREST with the help of Mock Server Functionality. User can directly start developing frontend using mock HTTP requests
8) Postman
Postman is a plugin in Google Chrome, and it can be used for testing API services. It is a powerful HTTP client to test web services. For manual or exploratory testing, Postman is a good choice for testing API.
- With Postman, almost all modern web API data can be extracted
- You can write Boolean tests within Postman Interface
- You can create a collection of REST calls and save each call as part of a collection for execution in future
- Unlike CURL, it is not a command line based tool, which makes this tool hassle free of pasting text into command line window
- For transmitting and receiving REST information, Postman is more reliable
9) HttpMaster
It is a web development tool to automate web application testing, including API testing, service testing and website testing. It is primarily used as web API test tool to automate testing of web API calls.
HttpMaster is a best choice for API testing as it has got
- Several http methods (GET, POST, DELETE etc.)
- Dynamic parameters of various data types to make batches of different API requests
- Various validation types and advanced validation expressions
10) Rest-assured
It’s a popular framework to test REST services in Java.
Learn more about Rest-Assured
11) Karate DSL
Karate is a new API testing framework base on cucumber library. Karate DSL allows testers to write meaningful tests for web service using a domain-specific language.
Features:
- It supports configuration switching/staging, multi-threaded parallel execution
- Allows testing and generating reports just like any standard Java Project
- Possible to write tests even for the non-programmers
- The karate API testing tool allows re-use of payload-data and user-defined functions across tests.
Download link: https://github.com/intuit/karate
12) Rest Console
HTTP client and Request visualizer and constructor API testing tool. It helps developers to build, debug and test RESTful APIS.
Features:
- Construct POST or PUT body via raw input
- Easy query parameters creation
- Add custom headers through intuitive UI
- Keyboard navigation and shortcuts
Download link: https://github.com/ahmadnassri/restconsole
13) Hippie-Swagger
Hippie-swagger is a tool for testing APIS. It supports a clear assertion syntax, for extending test behavior. It also allows clean printing reports.
Features:
- It will fail test whenever swagger documentation is either erroneous or missing
- Readable and accurate assertation messages
- Validated parameters, request, response, pats, etc.
Download link: https://github.com/CacheControl/hippie-swagger
14) Pyresttest
PyRestTest is a Python-based REST API testing platform. It supports tests in JSON or YAML config files. Therefore, there is no code needed.
Features:
- It’s minimal dependencies, which allows easy deployment on-server for smoke tests/health checks
- This API testing tool will return exit codes on failure
- Pyresttest allows to generate/extract and validate mechanisms to build test scenarios
Download link: https://github.com/svanoort/pyresttest
15) Airborne
Airborne is an API automation testing tool used for testing Rest APIs.
Features:
- Airborne is a programming framework, so it has no user interface apart from the text file to create code
- To use airborne, you just need to remember a few key methods in the toolset and some ruby and rspec fundamentals
Download link: https://github.com/brooklynDev/airborne
16) JMeter
JMeter is used for functional API testing which includes needed to test an API. It also has features which help to boost the performance of API testing.
Features:
- It can be used for both static as well as dynamic resources performance testing
- It supports replaying of test results
- It can automatically work with CSV files. This helps test team to produce unique parameter values for API tests
Download link: http://jmeter.apache.org/
17) APIpray Inspector
Apiary allows monitoring the API during the design phase by capturing both request and response. It allows the user to write API blueprints and lets the user view them Apiary editor or Apiary.jo.
Features:
- Role-based access control over API documents.
- It allows to add and remove team members from API design projects
- API Blueprint management dashboard
Download link: https://apiary.io/
18) SOAP Sonar
SOAPSonar is an API testing and diagnostics platform for SOAP, XML, REST-based web services. Use external sources like Excel, MS SQL, Oracle or any ODBC Database for automated tests.
Features:
- Identifies Web Services vulnerabilities like Malware Threat and SQL Injection
- Web Service Functional Testing with Success Rule Framework and Concurrent Client Load Testing
- Native HP QC Integration, and supports integration with Hudson, Ant, and JUnit
Download link: http://www.crosschecknet.com/
19) API Science
API science allows monitoring the health, availability, and performance of web APIs. The tool enables monitoring Private, Partner and Public APIs. This tool allows the user to know if any API ever goes down so that needed action should be taken to bring it back up.
Features:
- It is multi-step & Powered by JavaScript
- Powerful reporting mechanism helps to get insights into historical trends and spot future issues.
- Supports JSON, REST, XML, and Oauth
- Helps to manage API supply chain
Download link: https://www.apiscience.com/
20) Apigee
Apigee is a cross-cloud API testing tool. It allows the user to measure and test API performance, supports and build API using other editors like Swagger. It offers security and governance policies across all APIs.
Features:
- Allows to design monitor, deploy, and scale APIs
- Easily create API proxies from the Open API Specification and deploy them in the cloud
- Identify performance issues by tracking API traffic, error rates, and response times
Download link: http://apigee.com/
21) Tricentis
Tricentis is a robust web services testing tool. Prominent API Testing features of Tricentis Tosca are –
- It supports a wide array of protocols including HTTP(s) JMS, AMQP, Rabbit MQ, TIBCO EMS, SOAP, REST, IBM MQ,NET TCP
- It integrates into the Agile and DevOps Cycle
- It uses model-based test automation that makes script maintenance easy.
- Enables end-to-end testing as API tests can be used across mobile, cross-browser, packaged apps, etc.
Tricentis’ 400+ customers include global names from the Top 500 brands such as ExxonMobil, HBO, Whole Foods, Toyota, Allianz, BMW, Starbucks, Deutsche Bank, Lexmark, Orange, A&E, Vantiv, Vodafone, Telstra and UBS.
Download link: https://www.tricentis.com/automated-software-testing-tool-trial/
22) SOAP UI
The most widely popular tool for API testing in the world, SoapUI allows you to test REST and SOAP APIs with ease – as it has been built specifically for API testing.
- Quick and Easy Test Creation: Point-and-click, drag-and-drop, functionality makes complicated tasks (like working with JSON and XML) simple
- Powerful data-driven testing: Load data from Excel, files, and databases to simulate the way consumers interact with your APIs
- Reusability of Scripts: Reuse your functional test cases as load tests and security scans in just a few clicks
- Seamless Integrations: Integrates with 13 API management platforms, supports REST, SOAP, JMS, and IoT
SoapUI Pro is used by thousands of leading companies around the world, including: Apple, Microsoft, Cisco, Oracle, HP, NASA, eBay, MasterCard, Intel, FedEx, and Pfizer
Download link: https://smartbear.com/product/ready-api/soapui/overview/
Behave - BDD test framework using Python
https://behave.readthedocs.io/en/latest/
https://github.com/behave/behave
Behavior-driven development (or BDD) is an agile software development technique that encourages collaboration between developers, QA and non-technical or business participants in a software project.
behave uses tests written in a natural language style, backed up by Python code.
First, install *behave*.
Now make a directory called "features/". In that directory create a file called "example.feature" containing:
# -- FILE: features/example.feature
Feature: Showing off behave
Scenario: Run a simple test
Given we have behave installed
When we implement 5 tests
Then behave will test them for us!
Make a new directory called "features/steps/". In that directory create a file called "example_steps.py" containing:
# -- FILE: features/steps/example_steps.py
from behave import given, when, then, step
@given('we have behave installed')
def step_impl(context):
pass
@when('we implement {number:d} tests')
def step_impl(context, number): # -- NOTE: number is converted into integer
assert number > 1 or number == 0
context.tests_count = number
@then('behave will test them for us!')
def step_impl(context):
assert context.failed is False
assert context.tests_count >= 0
Run behave:
$ behave
Feature: Showing off behave # features/example.feature:2
Scenario: Run a simple test # features/example.feature:4
Given we have behave installed # features/steps/example_steps.py:4
When we implement 5 tests # features/steps/example_steps.py:8
Then behave will test them for us! # features/steps/example_steps.py:13
1 feature passed, 0 failed, 0 skipped
1 scenario passed, 0 failed, 0 skipped
3 steps passed, 0 failed, 0 skipped, 0 undefined
Now, continue reading to learn how to get the most out of behave. To get started, we recommend the tutorial and then the feature testing language and api references.
- behave documentation: latest edition, stable edition, PDF
- behave.example: Behave Examples and Tutorials (docs, executable examples).
JBehave - Java BDD framework - eos
Create a BDD story with example scenarios
A story is a collection of scenarios, each detailing different examples of the behaviour of a given increment of functionality of the system.
trader_is_alerted_of_status.story.
Given a stock of symbol STK1 and a threshold of 10.0 When the stock is traded at 5.0 Then the alert status should be OFF |
Scenario
: trader is not alerted below threshold
Given
a stock of symbol STK1 and a threshold of 10.0
When
the stock is traded at 5.0
Then
the alert status should be OFF
Scenario
: trader is alerted above threshold
Given
a stock of symbol STK1 and a threshold of 10.0
When
the stock is traded at 11.0
Then
the alert status should be ON
Map scenarios to Java methods with annotations
https://jbehave.org/reference/stable/developing-stories.html#writing
The scenario writer can specify the annotated methods in a POJO, i.e. without needing to extend/implement any JBehave class/interface. Of course, the Steps instances may inherit or implement other class/interface as required by the model of the application under test.
public class TraderSteps { // look, Ma, I'm a POJO!! private Stock stock; @Given ( "a stock of symbol $symbol and a threshold of $threshold" ) public void aStock(String symbol, double threshold) { stock = new Stock(symbol, threshold); } @When ( "the stock is traded at $price" ) public void theStockIsTradedAt( double price) { stock.tradeAt(price); } @Then ( "the alert status should be $status" ) public void theAlertStatusShouldBe(String status) { ensureThat(stock.getStatus().name(), equalTo(status)); } } |
Configure Stories with data scenarios
At the heart of the JBehave running of stories lies the Embedder, which provides an entry point to all of JBehave's functionality that is embeddable into other launchers, such as IDEs or CLIs. JBehave complements the Embedder with an Embeddable which represents a runnable facade to the Embedder.
JBehave allows many different ways to configure Embeddable Java classes that allow the parsing and running of textual stories.
JBehave provides two main Embeddable implementations:
- ConfigurableEmbedder: allows the specification of the Configuration and CandidateSteps.
- InjectableEmbedder: allows the injection of a fully specified Embedder.
JUnit-enabled Embeddables
JUnit is supported out-of-the-box via several Embeddables implementations:
- JUnitStory: provides a one-to-one mapping with the textual story via the StoryPathResolver.
- JUnitStories: provides a many-to-one mapping with the textual story paths explicitly specified by overriding the storyPaths() method.
In the case of one-to-one mapping, our abstract base TraderStory would look like:
We then extend this base class with a class for each story, e.g. TraderIsAletedOfStatus.java
, which maps to out textual story in same package.
In the case of many-to-one mapping:
public class TraderStories extends JUnitStories { private final CrossReference xref = new CrossReference(); public TraderStories() { configuredEmbedder().embedderControls().doGenerateViewAfterStories(true).doIgnoreFailureInStories(false) .doIgnoreFailureInView(true).doVerboseFailures(true).useThreads(2).useStoryTimeoutInSecs(60); //configuredEmbedder().useEmbedderControls(new PropertyBasedEmbedderControls()); } @Override public Configuration configuration() { Class<? extends Embeddable> embeddableClass = this.getClass(); Properties viewResources = new Properties(); viewResources.put("decorateNonHtml", "true"); viewResources.put("reports", "ftl/jbehave-reports-with-totals.ftl"); // Start from default ParameterConverters instance ParameterConverters parameterConverters = new ParameterConverters(); // factory to allow parameter conversion and loading from external resources (used by StoryParser too) ExamplesTableFactory examplesTableFactory = new ExamplesTableFactory(new LocalizedKeywords(), new LoadFromClasspath(embeddableClass), parameterConverters); // add custom converters parameterConverters.addConverters(new DateConverter(new SimpleDateFormat("yyyy-MM-dd")), new ExamplesTableConverter(examplesTableFactory)); return new MostUsefulConfiguration() .useStoryLoader(new LoadFromClasspath(embeddableClass)) .useStoryParser(new RegexStoryParser(examplesTableFactory)) .useStoryReporterBuilder(new StoryReporterBuilder() .withCodeLocation(CodeLocations.codeLocationFromClass(embeddableClass)) .withDefaultFormats() .withViewResources(viewResources) .withFormats(CONSOLE, TXT, HTML_TEMPLATE, XML_TEMPLATE) .withFailureTrace(true) .withFailureTraceCompression(true) .withCrossReference(xref)) .useParameterConverters(parameterConverters) // use '%' instead of '$' to identify parameters .useStepPatternParser(new RegexPrefixCapturingPatternParser( "%")) .useStepMonitor(xref.getStepMonitor()); } @Override public InjectableStepsFactory stepsFactory() { return new InstanceStepsFactory(configuration(), new TraderSteps(new TradingService()), new AndSteps(), new MetaParametrisationSteps(), new CalendarSteps(), new PriorityMatchingSteps(), new PendingSteps(), new SandpitSteps(), new SearchSteps(), new BeforeAfterSteps(), new CompositeSteps(), new NamedParametersSteps()); } @Override protected List<String> storyPaths() { // Specify story paths as URLs String codeLocation = codeLocationFromClass(this.getClass()).getFile(); return new StoryFinder().findPaths(codeLocation, asList("**/trader_is_alerted_of_status.story", "**/traders_can_be_subset.story"), asList(""), "file:" + codeLocation); } }
JUnit AnnotatedEmbedderRunner
JBehave also provides an implementation of JUnit's Runner, AnnotatedEmbedderRunner, which is runnable via JUnit's @RunWith annotation:
Integration with other frameworks
As remarked above, JBehave does not impose any tie-in with any framework to run stories. It only requires access to the Embedder to run the stories. The following snippet shows, for example, how to use SpringJUnit4ClassRunner to compose and inject steps instances and them the stories:
Run Stories
JBehave provides fully annotatation-based support for specifying configuration and dependency injection. The running stories will go into more details of the different ways to run stories. Or if you want to learn more about JBehave's step matching mechanism, you'll want to explore the concept of candidate steps in more detail.
https://jbehave.org/reference/stable/running-stories.html
Running Stories
JBehave is designed to be embedded in different development environments. The JBehave Core module contains support for running stories as JUnit tests - which can be run either in your favourite IDE or in your command-line build that supports JUnit tests. Other unit testing frameworks, e.g. TestNG or Spring Test, can also be used very easily, c.f. FAQ.
You can also run stories using the JBehave Ant tasks or Maven goals, which provide a facade around the Embedder functionality.
JBehave provides the Embedder as the core entry point to running stories. The Embedder can be configured in multiple way, c.f. the configuration.
Multiple running modes
Stories can be run in different modes:
- as embeddables: An Embeddable is an abstraction of a running mode, which can run a single story, e.g. if extending JUnitStory or can run multiple stories, e.g. if extending JUnitStories. The Embeddable instances allow their configuration.
- as paths: once we have specified an instance of an Embedder, with its configuration, we run stories specified by paths.
with annotated embedder runner: an AnnotatedEmbedderRunner is an implementation of the JUnit Runner, which allows annotated specification of the Embedder to be used to run the stories. C.f. configuration on
how to use annotatations to configure the Embedder.
with annotated path runner: an AnnotatedPathRunner is an extension of AnnotatedEmbedderRunner which creates a JUnit suite containing each story path and resolving the path to a human readable form that plays nicely with any IDE that provides JUnit integration.
Running Stories in a framework-neutral way
The Embedder can also be used to run the stories in any IDE environment, without the need to extend any base class. In the following example we use JUnit annotatation to denote different running instances:
where the TraderEmbedder/URLTraderEmbedder define the configuration using the loading from the classpath and URL resources, respectively. E.g.:
Running Remote Stories
JBehave supports running both local and remote stories. To run remote stories, we need to use a URL-based loader with an appropriate remote code location. The difference w.r.t. the local run is minimal:
Ignoring Failures Running Stories
By default, the story runners are configured to fail-fast, i.e. the execution will stop at first failed story (but will complete execution of the all the scenarios in the story first). To allow the generation of a complete stories view (reporting how many stories failed), the runners need to be enabled to run stories with ignoreFailureInStories flag set to true. In this way, all stories will run and the failure will be assessed only during the view generation. If any stories failed, the build will fail correspondingly. Should the need to ignore failure in the view arise (although generally not recommended), one can set the ignoreFailureInView flag to true.
View Reports
https://jbehave.org/reference/stable/reporting-stories.html
Reporting is an essential element of BDD as it allows to monitor the outcome of the stories that have been run. At the heart of JBehave's reporting is the StoryReporter, to which events are reported as they occur.
Currently, the story reporters supported are:
- ConsoleOutput: a text-based console output
- IdeOnlyConsoleOutput: a text-based console output, which only reports events when running in IDEs (Eclipse and IDEA supported).
- TxtOutput: a text-based file output
- HtmlOutput: an HTML file output
- HtmlTemplateOutput: an HTML template-based file output. By default, a Freemarker-based template processor is used but a different implementation based on a different templating system can be provided.
- XmlOutput: an XML file output
- PostStoryStatisticsCollector: collects statistics and stores them as properties after story is run
- DelegatingStoryReporter: used by the StoryReporterBuilder to delegate to any number of reporters as a proxy.
The StoryReporterBuilder allows to configure multiple story reporters with pre-configured formats: CONSOLE, TXT, HTML, HTML_TEMPLATE and XML.
JBehave tips
create JBehave REST api templates in Groovy dynamically to eliminate custom mappings for each BDD test - only need self documenting BDD scripts that are dynamically loaded to Groovy smart BDD test classes
Step-by-step guide for Example
sample code block