SchemaCreateCoerced

Alias:SchemaCreateCoerced, GenerateSchemaCoerced

Output:Entity

Create a new schema by analysing the entity properties and values in an array or an entity stream. This Step is best used with flat data sources such as Concordance or CSV as it does additional processing to infer the data types of strings.

Parameter	Type	Required	Position	Default Value	Summary
Entities	array<entity>	✔	1		The array to get the lat element of
AllowExtraProperties	bool			false	Whether properties other than the explicitly defined properties are allowed.
BooleanFalseFormats	string or array<string> or entity			False	Strings which represent falsity This can either be a string, and array of string, or an entity mapping field names to strings or arrays of string
BooleanTrueFormats	string or array<string> or entity			True	Strings which represent truth. This can either be a string, and array of string, or an entity mapping field names to strings or arrays of string
CaseSensitive	bool			False	Whether transformations are case sensitive
DateInputFormats	string or array<string> or entity			yyyy-MM-ddTHH:mm:ssK	ISO 8601 Date Formats to use for strings representing dates This can either be a string, and array of string, or an entity mapping field names to strings or arrays of string
NullFormats	string or array<string> or entity			No null values	Strings which represent null This can either be a string, and array of string, or an entity mapping field names to strings or arrays of string
SchemaName	string			Schema	The name of the schema to create

Examples

Even though IntegerProperty is represented as a string in the input entity (quoted), it is converted to an integer in the schema.

SCL

SchemaCreateCoerced Entities: [('StringProperty': "abc" 'IntegerProperty': "123")] SchemaName: 'My Schema'

Expected Output

('title': "My Schema" 'type': "object" 'additionalProperties': False 'properties': ('StringProperty': ('type': "string") 'IntegerProperty': ('type': "integer")) 'required': ["StringProperty", "IntegerProperty"])