Hoverfly Cloud
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  • Introduction
  • Use cases for API Simulation
  • Key concepts
  • What's New
  • Dashboard
  • Simulation
    • Create simulations
    • Configuring Request Matchers
      • JSON Request Matchers on the Body
        • EXACT Matcher
        • JSON Matcher
        • JSON Partial Matcher
        • JSONPath Matcher
        • Regular Expression Matcher
      • Handling the response when Hoverfly cannot match
    • Building a JSON Response
      • Using a JSON object from the Request
      • Looping over a JSON array from the Request
    • Simulating Webhooks and Callbacks
    • Using templating in simulations
      • Render back any part of the Request
      • Render synthetic data
      • Faker functions
      • Render dates and times with offsets
      • Conditional logic
      • Looping over arrays
      • Variables and Arrays
      • Arithmetic operations
      • String operations
      • Validation operations
      • Simulating a persistent backend
      • Transitioning state between requests
      • Combining and nesting templating functions
      • Useful helper functions
      • Avoiding HTML encoding in function return values
    • Using data sources in simulations
      • Querying data sources
      • Updating data in data sources
      • Deleting data from data sources
      • Inserting data into a data source
      • Guidance on using the SQL like syntax
    • Working with Simulation Files
  • Service
    • Start a new service
    • Use a service
    • Update a service
    • Configuring Journal Indexing
  • Command line interface
    • Hoverfly Cloud CLI commands
  • Tutorials
    • Quickstart
    • Creating simulations and services
      • Tutorial 1: Create a service and simulation manually
      • Tutorial 2: Create a service and simulation by importing from a Swagger specification
      • Tutorial 3: Create a service and simulation by capturing real API traffic
    • Response Templating
      • Tutorial 4: Response Templating
    • Hoverfly service modes
      • Tutorial 5: Simulate, Capture, Spy and Passthrough modes
    • Automating with the CLI and API
      • Tutorial 6: Using the CLI and the Hoverfly Cloud API
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  1. Simulation

Building a JSON Response

Use Hoverfly Cloud templating to dynamically build JSON responses based on incoming request data like payload, path, query parameter or headers.

PreviousHandling the response when Hoverfly cannot matchNextUsing a JSON object from the Request

Last updated 3 months ago

Hoverfly Cloud uses {{handlebars syntax}} to provide template scripting with which you can build out a JSON response. Typically, this would involve relying on some data that arrives as part of the request, either as a JSON payload itself, or as part of the path, query parameter, or header.

Templating can be used to perform validation, logic, arithmetic and to generate synthetic data to be used in constructing the body of your response, amongst many other powerful capabilities.

This brief section will discuss the basics of using Hoverfly's templating to generate a JSON response.

You can read more about the other templating features .

here