Nice work! Thanks! Doru
> On Nov 22, 2018, at 5:56 PM, Norbert Hartl <norb...@hartl.name> wrote: > > JSONSchema > =========== > > This is an implementation of JSON Schema for the pharo language. It is used > to define the structure and values of a JSON string and to validate it. The > schema itself can be externalized for being consumed by a third party. > > I like to announce the availability of a JSON schema implementation for > pharo. As part of my implementation of OpenAPI (which is to be released a bit > later) I factored out the JSON schema part into its own repository because I > think it is useful. I release it even it is not really finished. Code is > mostly undocumented and a lot of features are missing from the full spec. I > will improve it slowly and add features as I need them or they being requested > > Hope you like it! > > Norbert > > ==== > > The documentation so far (from https://github.com/zweidenker/JSONSchema) > > It can be loaded by downloading it in pharo via > > Metacello new > repository: 'github://zweidenker/JSONSchema'; > baseline: #JSONSchema; > load > > Defining a schema > ------------------------- > > These are the expression to create a schema model inside pharo. > > schema := { > #name -> JSONSchema string. > #dateAndTime -> (JSONSchema stringWithFormat: 'date-time'). > #numberOfPets -> JSONSchema number } asJSONSchema. > > > defines as schema that can parse the following JSON: > > jsonString := '{ > "name" : "John Doe", > "dateAndTime" : "1970-01-01T14:00:00", > "numberOfPets" : 3 > }'. > > Reading/Writing a value using a schema > ------------------------------------------------------ > > To parse the value from JSON we only need to invoke: > > value := schema read: jsonString > > The object in value will have name as a string, dateAndTime as a DateAndTime > object and numberOfPets as a SmallInteger object. > > The schema can also be used to write out the value as JSON. This is > especially useful if we want to ensure that only valid JSON is written. For > this invoke > > jsonString := schema write: value. > > Serialize/Materialize a schema > ---------------------------------------- > > Addtionally to reading and writing objects a schema can be serialized to > string. > > schemaString := NeoJSONWriter toStringPretty: schema. > > gives > > { > "type" : "object", > "properties" : { > "name" : { > "type" : "string" > }, > "numberOfPets" : { > "type" : "number" > }, > "dateAndTime" : { > "type" : "string", > "format" : "date-time" > } > } > } > > > If we would get a schema as string we can instantiate by invoking > > schema := JSONSchema fromString: schemaString. > > Nested schemas > ----------------------- > > Schemas can be nested in any depth. And it can be specified by using the > literal Array syntax. > > schema := { > #name -> JSONSchema string. > #address -> { > #street -> JSONSchema string. > #number -> JSONSchema number > } } asJSONSchema > > Constraints > --------------- > > JSON Schema has a defined set of constraints that can be specified. E.g. for > a number the inerval of the value can be specified by > > numberSchema := JSONSchema number. > numberSchema interval > minimum: 1; > exclusiveMaximum: 100 > > constraining the number value to be greater or equal to 1 and smaller than > 100. > -- www.feenk.com "What is more important: To be happy, or to make happy?"
