text: from typing import Union, List, Optional
  
  from pyspark.sql.types import StructType, StructField, StringType, ArrayType, DataType
  
  
  # This file is auto-generated by generate_schema so do not edit it manually
  # noinspection PyPep8Naming
  class PeriodSchema:
      """
      A time period defined by a start and end date and optionally time.
      """
  
      # noinspection PyDefaultArgument
      @staticmethod
      def get_schema(
          max_nesting_depth: Optional[int] = 6,
          nesting_depth: int = 0,
          nesting_list: List[str] = [],
          max_recursion_limit: Optional[int] = 2,
          include_extension: Optional[bool] = False,
          extension_fields: Optional[List[str]] = [
              "valueBoolean",
              "valueCode",
              "valueDate",
              "valueDateTime",
              "valueDecimal",
              "valueId",
              "valueInteger",
              "valuePositiveInt",
              "valueString",
              "valueTime",
              "valueUnsignedInt",
              "valueUri",
              "valueUrl",
          ],
          extension_depth: int = 0,
          max_extension_depth: Optional[int] = 2,
          include_modifierExtension: Optional[bool] = False,
      ) -> Union[StructType, DataType]:
          """
          A time period defined by a start and end date and optionally time.
  
  
          id: Unique id for the element within a resource (for internal references). This
              may be any string value that does not contain spaces.
  
          extension: May be used to represent additional information that is not part of the basic
              definition of the element. To make the use of extensions safe and manageable,
              there is a strict set of governance  applied to the definition and use of
              extensions. Though any implementer can define an extension, there is a set of
              requirements that SHALL be met as part of the definition of the extension.
  
          start: The start of the period. The boundary is inclusive.
  
          end: The end of the period. If the end of the period is missing, it means no end
              was known or planned at the time the instance was created. The start may be in
              the past, and the end date in the future, which means that period is
              expected/planned to end at that time.
  
          """
          from spark_fhir_schemas.r4.complex_types.extension import ExtensionSchema
          from spark_fhir_schemas.r4.simple_types.datetime import dateTimeSchema
  
          if (
              max_recursion_limit and nesting_list.count("Period") >= max_recursion_limit
          ) or (max_nesting_depth and nesting_depth >= max_nesting_depth):
              return StructType([StructField("id", StringType(), True)])
          # add my name to recursion list for later
          my_nesting_list: List[str] = nesting_list + ["Period"]
          schema = StructType(
              [
                  # Unique id for the element within a resource (for internal references). This
                  # may be any string value that does not contain spaces.
                  StructField("id", StringType(), True),
                  # May be used to represent additional information that is not part of the basic
                  # definition of the element. To make the use of extensions safe and manageable,
                  # there is a strict set of governance  applied to the definition and use of
                  # extensions. Though any implementer can define an extension, there is a set of
                  # requirements that SHALL be met as part of the definition of the extension.
                  StructField(
                      "extension",
                      ArrayType(
                          ExtensionSchema.get_schema(
                              max_nesting_depth=max_nesting_depth,
                              nesting_depth=nesting_depth + 1,
                              nesting_list=my_nesting_list,
                              max_recursion_limit=max_recursion_limit,
                              include_extension=include_extension,
                              extension_fields=extension_fields,
                              extension_depth=extension_depth,
                              max_extension_depth=max_extension_depth,
                              include_modifierExtension=include_modifierExtension,
                          )
                      ),
                      True,
                  ),
                  # The start of the period. The boundary is inclusive.
                  StructField(
                      "start",
                      dateTimeSchema.get_schema(
                          max_nesting_depth=max_nesting_depth,
                          nesting_depth=nesting_depth + 1,
                          nesting_list=my_nesting_list,
                          max_recursion_limit=max_recursion_limit,
                          include_extension=include_extension,
                          extension_fields=extension_fields,
                          extension_depth=extension_depth + 1,
                          max_extension_depth=max_extension_depth,
                          include_modifierExtension=include_modifierExtension,
                      ),
                      True,
                  ),
                  # The end of the period. If the end of the period is missing, it means no end
                  # was known or planned at the time the instance was created. The start may be in
                  # the past, and the end date in the future, which means that period is
                  # expected/planned to end at that time.
                  StructField(
                      "end",
                      dateTimeSchema.get_schema(
                          max_nesting_depth=max_nesting_depth,
                          nesting_depth=nesting_depth + 1,
                          nesting_list=my_nesting_list,
                          max_recursion_limit=max_recursion_limit,
                          include_extension=include_extension,
                          extension_fields=extension_fields,
                          extension_depth=extension_depth + 1,
                          max_extension_depth=max_extension_depth,
                          include_modifierExtension=include_modifierExtension,
                      ),
                      True,
                  ),
              ]
          )
          if not include_extension:
              schema.fields = [
                  c
                  if c.name != "extension"
                  else StructField("extension", StringType(), True)
                  for c in schema.fields
              ]
  
          if not include_modifierExtension:
              schema.fields = [
                  c
                  if c.name != "modifierExtension"
                  else StructField("modifierExtension", StringType(), True)
                  for c in schema.fields
              ]
  
          return schema
  