FlatSchema

Value Members

1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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6. final def eq(arg0: AnyRef): Boolean

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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9. def flattenJsonSchema(jSchema: JValue, splitProduct: Boolean): Validated[String, FlatSchema]

   

   Flattens a JsonSchema into a usable Map of Strings and Attributes.

   Flattens a JsonSchema into a usable Map of Strings and Attributes. - Will grab the first properties list and begin the recursive function - Will then return the validated object containing paths, attributes, etc

   jSchema

   the JSON Schema which we will process

   splitProduct

   whether we need to split product types to different keys

   returns

   a validated map of keys and attributes or a failure string

10. implicit val formats: DefaultFormats.type

    

11. final def getClass(): Class[_]

    

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12. def hashCode(): Int

    

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13. final def isInstanceOf[T0]: Boolean

    

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14. final def ne(arg0: AnyRef): Boolean

    

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15. final def notify(): Unit

    

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16. final def notifyAll(): Unit

    

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17. def splitProductTypes(schema: Map[String, Map[String, String]]): Map[String, Map[String, String]]

    

    Split every product type into several primitive types.

    Split every product type into several primitive types. Preserves nulls and other properties in all output types

    eg. {"oneKey": {"type": "string,number,null"}} => {"oneKey_string": {"type": "string,null"}, " oneKey_number": {"type": "number,null"}}

    schema

    map of schema keys to JSON Schema properties

    returns

    updated map where product types are splitted

18. final def synchronized[T0](arg0: ⇒ T0): T0

    

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19. def toString(): String

    

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20. final def wait(): Unit

    

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21. final def wait(arg0: Long, arg1: Int): Unit

    

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22. final def wait(arg0: Long): Unit

    

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