FlatSchema

Value Members

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

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

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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

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6. final def asInstanceOf[T0]: T0

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

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9. def equals(arg0: Any): Boolean

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10. def finalize(): Unit

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11. def flattenJsonSchema(jSchema: JValue, splitProduct: Boolean): Validation[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

12. implicit val formats: DefaultFormats.type

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

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14. def hashCode(): Int

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15. final def isInstanceOf[T0]: Boolean

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

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17. final def notify(): Unit

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18. final def notifyAll(): Unit

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19. 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

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

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21. def toString(): String

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22. final def wait(): Unit

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

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

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