text: #!/usr/bin/env python3
  # Copyright (c) 2004-present Facebook All rights reserved.
  # Use of this source code is governed by a BSD-style
  # license that can be found in the LICENSE file.
  
  import warnings
  from datetime import datetime
  from typing import Callable, Dict, List, Mapping, Optional, Sequence, Tuple, Union, cast
  
  from dacite import Config, from_dict
  
  from .common.data_class import (
      TYPE_AND_FIELD_NAME,
      DataTypeName,
      PropertyDefinition,
      PropertyValue,
      ReturnType,
  )
  from .common.data_enum import Entity
  from .exceptions import EntityNotFoundError
  from .graphql.enum.property_kind import PropertyKind
  from .graphql.fragment.equipment_port_definition import EquipmentPortDefinitionFragment
  from .graphql.fragment.equipment_position_definition import (
      EquipmentPositionDefinitionFragment,
  )
  from .graphql.fragment.property import PropertyFragment
  from .graphql.input.equipment_port import EquipmentPortInput
  from .graphql.input.equipment_position import EquipmentPositionInput
  from .graphql.input.property import PropertyInput
  from .graphql.input.property_type import PropertyTypeInput
  
  
  def format_to_type_and_field_name(type_key: str) -> Optional[DataTypeName]:
      formated = TYPE_AND_FIELD_NAME.get(type_key, None)
      return formated
  
  
  def get_graphql_input_field(
      property_type_name: str, type_key: str, value: PropertyValue
  ) -> Dict[str, PropertyValue]:
      formated_type = format_to_type_and_field_name(type_key)
      if formated_type is None:
          raise Exception(
              f"property type {property_type_name} has not supported type {type_key}"
          )
      if type_key == "string":
          assert isinstance(value, str) or isinstance(
              value, bytes
          ), f"property {property_type_name} is not of type {type_key}"
      elif type_key == "gps_location":
          assert isinstance(
              value, tuple
          ), f"property {property_type_name} is not of type {type_key}"
          gps_value = value
          assert (
              len(gps_value) == 2
              and isinstance(gps_value[0], float)
              and isinstance(gps_value[1], float)
          ), f"property {property_type_name} is not of type tuple(float, float)"
          return {
              formated_type.graphql_field_name[0]: gps_value[0],
              formated_type.graphql_field_name[1]: gps_value[1],
          }
      else:
          assert isinstance(
              value, formated_type.data_type
          ), f"property {property_type_name} is not of type {type_key}"
  
      return {formated_type.graphql_field_name[0]: cast(PropertyValue, value)}
  
  
  def get_graphql_property_type_inputs(
      property_types: Sequence[PropertyDefinition],
      properties_dict: Mapping[str, PropertyValue],
  ) -> List[PropertyTypeInput]:
      """This function gets existing property types and dictionary, where key - are type names, and keys - new values
      formats data, validates existence of keys from `properties_dict` in `property_types` and returns list of PropertyTypeInput
  
          Args:
              property_types (List[ `pyinventory.common.data_class.PropertyDefinition` ]): list of existing property types
              properties_dict (Dict[str, PropertyValue]): dictionary of properties, where
              - str - name of existing property
              - PropertyValue - new value of existing type for this property
  
          Returns:
              List['pyinventory.graphql.input.property_type.PropertyTypeInput']
  
          Raises:
              `pyinventory.exceptions.EntityNotFoundError`: if there any unknown property name in `properties_dict` keys
      """
      properties = []
      property_type_names = {}
  
      for property_type in property_types:
          property_type_names[property_type.property_name] = property_type
  
      for name, value in properties_dict.items():
          if name not in property_type_names:
              raise EntityNotFoundError(entity=Entity.PropertyType, entity_name=name)
          property_type_id = property_type_names[name].id
          assert property_type_id is not None, f"property {name} has no id"
          assert not property_type_names[name].is_fixed, f"property {name} is fixed"
          result: Dict[str, Union[PropertyValue, PropertyKind]] = {
              "id": property_type_id,
              "name": name,
              "type": PropertyKind(property_type_names[name].property_kind),
          }
          result.update(
              get_graphql_input_field(
                  property_type_name=name,
                  type_key=property_type_names[name].property_kind.value,
                  value=value,
              )
          )
          properties.append(
              from_dict(
                  data_class=PropertyTypeInput, data=result, config=Config(strict=True)
              )
          )
  
      return properties
  
  
  def get_graphql_property_inputs(
      property_types: Sequence[PropertyDefinition],
      properties_dict: Mapping[str, PropertyValue],
  ) -> List[PropertyInput]:
      """This function gets existing property types and dictionary, where key - are type names, and keys - new values
      formats data, validates existence of keys from `properties_dict` in `property_types` and returns list of PropertyInput
  
          Args:
              property_types (Sequence[ `pyinventory.common.data_class.PropertyDefinition` ]): list of existing property types
              properties_dict (Mapping[str, PropertyValue]): dictionary of properties, where
                  str: name of existing property
                  PropertyValue: new value of existing type for this property
  
          Returns:
              List[ `pyinventory.graphql.input.property.PropertyInput` ]
  
          Raises:
              `pyinventory.exceptions.EntityNotFoundError`: if there any unknown property name in properties_dict keys
  
          Example:
              ```
              property_types = LOCATION_TYPES[location_type].property_types
              properties = get_graphql_property_inputs(property_types, properties_dict)
              ```
      """
      properties = []
      property_type_names = {}
  
      for property_type in property_types:
          property_type_names[property_type.property_name] = property_type
  
      for name, value in properties_dict.items():
          if name not in property_type_names:
              raise EntityNotFoundError(entity=Entity.PropertyType, entity_name=name)
          property_type_id = property_type_names[name].id
          assert property_type_id is not None, f"property {name} has no id"
          assert not property_type_names[name].is_fixed, f"property {name} is fixed"
          result: Dict[str, PropertyValue] = {"propertyTypeID": property_type_id}
          result.update(
              get_graphql_input_field(
                  property_type_name=name,
                  type_key=property_type_names[name].property_kind.value,
                  value=value,
              )
          )
          properties.append(
              from_dict(data_class=PropertyInput, data=result, config=Config(strict=True))
          )
  
      return properties
  
  
  def _get_property_value(
      property_type: str, property: PropertyFragment
  ) -> Tuple[PropertyValue, ...]:
      formated_name = format_to_type_and_field_name(property_type)
      if formated_name is None:
          raise AssertionError(f"Unknown property type - {property_type}")
  
      str_fields = formated_name.graphql_field_name
      values = []
      for str_field in str_fields:
          if property_type == "date":
              date_data = property.__dict__[str_field]
              values.append(datetime.strptime(cast(str, date_data), "%Y-%m-%d").date())
          else:
              values.append(property.__dict__[str_field])
      return tuple(value for value in values)
  
  
  def get_position_definition_input(
      position_definition: EquipmentPositionDefinitionFragment, is_new: bool = True
  ) -> EquipmentPositionInput:
      return EquipmentPositionInput(
          name=position_definition.name,
          id=position_definition.id if not is_new else None,
          index=position_definition.index,
          visibleLabel=position_definition.visibleLabel,
      )
  
  
  def get_port_definition_input(
      port_definition: EquipmentPortDefinitionFragment, is_new: bool = True
  ) -> EquipmentPortInput:
      return EquipmentPortInput(
          name=port_definition.name,
          id=port_definition.id if not is_new else None,
          index=port_definition.index,
          visibleLabel=port_definition.visibleLabel,
      )
  
  
  def deprecated(
      deprecated_in: str,
      deprecated_by: str
      # pyre-fixme[34]: `Variable[ReturnType]` isn't present in the function's parameters.
  ) -> Callable[[Callable[..., ReturnType]], Callable[..., ReturnType]]:
      def wrapped(func: Callable[..., ReturnType]) -> Callable[..., ReturnType]:
          def wrapper(*args: str, **kwargs: int) -> Callable[..., ReturnType]:
              func_name = func.__name__
              message = f"{func_name} is deprecated in {deprecated_in}. Use the {deprecated_by} function instead."
              warnings.warn(message, DeprecationWarning, stacklevel=2)
              return cast(Callable[..., ReturnType], func(*args, **kwargs))
  
          return cast(Callable[..., ReturnType], wrapper)
  
      return wrapped
  