Use Different Data Formats Under Single Resource in RAML Specification
In this article, we will discuss how to use different data types with different formats under a single resource in a RAML Specification.
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Join For FreeWhat Is RAML?
RAML, which stands for "RESTful API Modeling Language," is a YAML-based language for describing RESTful APIs. It is a blueprint before developing an API that makes it easier for both developers and stakeholders to understand the API's structure and behavior.
What Are Data Types?
Data types are used to specify the structure or type of data exchanged between the client and server. This allows to validate the request and response payloads and maintain payload standards.
Built-In Data Types
RAML includes several built-in or primitive data types that represent basic types of values. Some of the common built-in data types include:
- String: Represents textual data.
- Number: Represents numeric values.
- Integer: Represents whole numbers.
- Boolean: Represents true or false values.
- Date-Only: Represents a date without a time component.
- Time-Only: Represents a time without a date component.
- DateTime: Represents a date and time.
User-Defined Data Types
You can also define custom or user-defined data types in RAML. These types can have specific properties with their own data types. This allows you to create structured and reusable components for your API.
Use Case
Create a RAML with a single resource with different data types and formats and publish it on Exchange.
Goals
- Create a RAML Specification.
- Create Datatype files.
- Create a resource /user and add the required information.
- Verify endpoints using mocking services.
- Publish to Exchange.
Step 1: Create RAML Specification
- Create an account on the Anypoint Platform.
- Navigate to the Design Center and create a RAML Specification.
- Give an appropriate name to your specification.
Step 2: Create DataType Files
- Create a folder “dataTypes” in the files section.
- Create a folder dataTypes and add request and response data types as below.
- jsonDataTypeOne
- jsonDataTypeTwo
- xmlDataType
- responseDataType
jsonDataTypeOne
#%RAML 1.0 DataType
type: object
properties:
name:
type: string
example: "Caroline"
age:
type: number
example: 22
active:
type: boolean
example: true
jsonDataTypeTwo
#%RAML 1.0 DataType
type: object
properties:
name:
type: string
example: "Caroline"
age:
type: number
example: 22
address:
type: string
example: "145 Main St, Dallas, TX"
xmlDataType
#%RAML 1.0 DataType
type: object
properties:
top:
type: object
properties:
abc:
xml:
attribute: true
name: abc
xmlNamespace:
xml:
attribute: true
namespace: http://google.com
node:
type: string
example:
<xml>
<top abc="123" xmlns="http://google.com">
<node>12345</node>
</top>
</xml>
responseDataType
#%RAML 1.0 DataType
type: object
properties:
message:
type: string
example: "success"
payload:
type: object
example: {}
Step 3: Create Resource/Users
Below is the sample RAML specification.
#%RAML 1.0
title: test
types:
jsonTypeOne: !include dataTypes/jsonDataTypeOne.raml
jsonTypeTwo: !include dataTypes/jsonDataTypeTwo.raml
xmlType: !include dataTypes/xmlDataType.raml
responseType: !include dataTypes/responseDataType.raml
/users:
post:
body:
application/json:
type: jsonTypeOne | jsonTypeTwo
application/xml:
type: xmlType
responses:
200:
body:
application/json:
type: responseType
In the above RAML specification, “|” symbol is used in the body type, which means that it can accept either jsonTypeOne or jsonTypeTwo. In addition to this we can also send xmlType.
Step 4: Verify Endpoints Using Mocking Services
In the above image, we can see that it accepts both json type and xml type. Also it allows user to choose between jsonTypeOne or jsonTypeTwo.
Step 5: Publish to Exchange
Once the RAML specification is ready and verified using mocking services, you can publish the specification to the Anypoint Exchange. Publishing to Exchange will enable your users to verify the endpoints from their end before starting the implementation.
Summary
In conclusion, a single resource can have different data types with different formats and users can implement them as per their requirements.
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