Writing Domain Specific Languages with JSON Schema
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The document discusses the use of JSON Schema for writing domain-specific languages (DSLs), highlighting its role in validating JSON data against defined types. It covers basic JSON schema types, validation examples, and combines schemas for more complex data structures. Additionally, the document outlines various use cases for JSON Schema in web applications, specification languages, and object validation.
![JSON is weakly typed
{
“userName”: “Yos”,
“favouriteNumber”: 42,
“interests”: [“programming”, “swimming”]
}](https://image.slidesharecdn.com/writingdomainspecificlanguageswithjsonschema-180402070237/85/Writing-Domain-Specific-Languages-with-JSON-Schema-5-320.jpg)
![{
"type": "object",
"properties": {
"userName": {
"type": "string"
}
},
"required": ["userName"],
"additionalProperties": false,
}
JSON Schema 101 Valid Invalid
{
“userName”:
“foo”
}
{
“userName”: 1
}
{
“name”: “foo”
}
{}](https://image.slidesharecdn.com/writingdomainspecificlanguageswithjsonschema-180402070237/85/Writing-Domain-Specific-Languages-with-JSON-Schema-15-320.jpg)
![Additional JSON Schema Validations
{
"type": "number",
"minimum": 0,
"maximum": 100,
"exclusiveMaximum": true
}
{
"type": "string",
"pattern": "^(([0-9]{3}))?[0-9]{3}-[0-9]{4}$"
}](https://image.slidesharecdn.com/writingdomainspecificlanguageswithjsonschema-180402070237/85/Writing-Domain-Specific-Languages-with-JSON-Schema-17-320.jpg)
![Combining JSON Schemas
● AnyOf
● AllOf
● OneOf
● not
{
"anyOf": [
{ "type": "string" },
{ "type": "number" }
]
}](https://image.slidesharecdn.com/writingdomainspecificlanguageswithjsonschema-180402070237/85/Writing-Domain-Specific-Languages-with-JSON-Schema-18-320.jpg)
![Writing a DSL with JSON Schema
"waml": {
"description": "WAML Specification semantic version number.",
"type": "string",
"pattern": "^([0-9]{1,}.[0-9]{1,}.[0-9]{1,})$",
"enum": ["0.1.0"]
}](https://image.slidesharecdn.com/writingdomainspecificlanguageswithjsonschema-180402070237/85/Writing-Domain-Specific-Languages-with-JSON-Schema-34-320.jpg)
![Writing a DSL with JSON Schema
"Step": {
"type": "object",
"description": "A step represents a single user interaction.",
"oneOf": [
{
"$ref": "#/definitions/VisitStep"
},
{
"$ref": "#/definitions/ClickStep"
}
]
}](https://image.slidesharecdn.com/writingdomainspecificlanguageswithjsonschema-180402070237/85/Writing-Domain-Specific-Languages-with-JSON-Schema-36-320.jpg)
!["ClickStep": {
"type": "object",
"properties": {
"click": {
"oneOf": [
{
"type": "string"
},
{
"type": "object",
"properties": {
"selector": { "type": "string" },
"index": { "type": "integer", "minimum": 0 }
}
}
]
},
},
}](https://image.slidesharecdn.com/writingdomainspecificlanguageswithjsonschema-180402070237/85/Writing-Domain-Specific-Languages-with-JSON-Schema-37-320.jpg)
Writing Domain Specific Languages with JSON Schema
- 2. Writing Domain Specific Languages with JSON Schema Yos Riady yos.io bit.ly/2JbMTrn
- 3. Weak types in JSON What is JSON Schema? Introduction Schema Uses DSL Conclusion JSON Schema use cases Summary and further learning Writing a DSL with JSON Schema
- 5. JSON is weakly typed { “userName”: “Yos”, “favouriteNumber”: 42, “interests”: [“programming”, “swimming”] }
- 7. message Person { required string user_name = 1 optional int64 favourite_number = 2 repeated string interests = 3 } Protocol Buffers are strongly typed
- 9. How can we validate JSON data with types?
- 10. Enter JSON Schema { “userName”: { “type”: “string” }, “favouriteNumber”: { “type”: “integer” }, “interests”: { “type”: “array”, “items”: { “type”: “string”} } }
- 11. JSON Schema helps you validate JSON data.
- 13. JSON Schema 101 { "type": "string" } Valid Invalid “foo” 123 false
- 14. JSON Schema Basic Types ● string ● Numeric types ● object ● array ● boolean ● null
- 15. { "type": "object", "properties": { "userName": { "type": "string" } }, "required": ["userName"], "additionalProperties": false, } JSON Schema 101 Valid Invalid { “userName”: “foo” } { “userName”: 1 } { “name”: “foo” } {}
- 16. JSON Schema 101 Invalid Validation Message { “userName”: 1 } Field .userName should be a string { “name”: “foo” } Should NOT have additional properties {} Should have required property ‘userName’
- 17. Additional JSON Schema Validations { "type": "number", "minimum": 0, "maximum": 100, "exclusiveMaximum": true } { "type": "string", "pattern": "^(([0-9]{3}))?[0-9]{3}-[0-9]{4}$" }
- 18. Combining JSON Schemas ● AnyOf ● AllOf ● OneOf ● not { "anyOf": [ { "type": "string" }, { "type": "number" } ] }
- 19. Structuring Complex Schemas { "definitions": { "person": { ... } }, "type": "object", "properties": { "user": { "$ref": "#/definitions/person" } } }
- 22. Use Cases for JSON Schema ● Message / data validation ○ Object Relational Mappers (ORMs) ● Schemaless objects in Web Applications ● Content Management in Headless CMSes ● Writing Specification Languages ○ OpenAPI / Swagger ○ AWS States Language ○ WAML
- 24. Dynamic forms
- 25. Content Modeling in Headless CMSes
- 26. Content Modeling in Headless CMSes
- 28. Weak types in JSON What is JSON Schema? Introduction Schema Uses DSL Conclusion JSON Schema use cases Summary and further learning Writing a DSL with JSON Schema
- 29. Writing a DSL with JSON Schema
- 30. Domain Specific Languages ● Computer language specialized to a particular application domain ○ In contrast to General Purpose Languages (GPLs)
- 32. Web Automation Markup Language (waml.io)
- 33. waml.io/editor
- 34. Writing a DSL with JSON Schema "waml": { "description": "WAML Specification semantic version number.", "type": "string", "pattern": "^([0-9]{1,}.[0-9]{1,}.[0-9]{1,})$", "enum": ["0.1.0"] }
- 35. Writing a DSL with JSON Schema "steps": { "type": "array", "minItems": 1, "items": { "$ref": "#/definitions/Step" } }
- 36. Writing a DSL with JSON Schema "Step": { "type": "object", "description": "A step represents a single user interaction.", "oneOf": [ { "$ref": "#/definitions/VisitStep" }, { "$ref": "#/definitions/ClickStep" } ] }
- 37. "ClickStep": { "type": "object", "properties": { "click": { "oneOf": [ { "type": "string" }, { "type": "object", "properties": { "selector": { "type": "string" }, "index": { "type": "integer", "minimum": 0 } } } ] }, }, }
- 39. Weak types in JSON What is JSON Schema? Introduction Schema Uses DSL Conclusion JSON Schema use cases Summary and further learning Writing a DSL with JSON Schema
- 40. ● JSON is weakly typed ● JSON Schema ○ What is JSON Schema? ○ JSON validation with JSON Schema ○ Use cases ● Domain Specific Languages ○ What are DSLs? ○ Writing a DSL with JSON Schema In Closing
- 42. Writing Domain Specific Languages with JSON Schema Yos Riady yos.io bit.ly/2JbMTrn
- 43. Q&A