Eventarc V1 API - Class Google::Cloud::Eventarc::V1::Pipeline::Mediation::Transformation (v1.2.0)

Reference documentation and code samples for the Eventarc V1 API class Google::Cloud::Eventarc::V1::Pipeline::Mediation::Transformation.

Transformation defines the way to transform an incoming message.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#transformation_template

def transformation_template() -> ::String
Returns
  • (::String) —

    Optional. The CEL expression template to apply to transform messages. The following CEL extension functions are provided for use in this CEL expression:

    • merge: map1.merge(map2) -> map3
      • Merges the passed CEL map with the existing CEL map the function is applied to.
      • If the same key exists in both maps, if the key's value is type map both maps are merged else the value from the passed map is used.
    • denormalize: map.denormalize() -> map
      • Denormalizes a CEL map such that every value of type map or key in the map is expanded to return a single level map.
      • The resulting keys are "." separated indices of the map keys.
      • For example: { "a": 1, "b": { "c": 2, "d": 3 } "e": [4, 5] } .denormalize() -> { "a": 1, "b.c": 2, "b.d": 3, "e.0": 4, "e.1": 5 }
    • setField: map.setField(key, value) -> message
      • Sets the field of the message with the given key to the given value.
      • If the field is not present it will be added.
      • If the field is present it will be overwritten.
      • The key can be a dot separated path to set a field in a nested message.
      • Key must be of type string.
      • Value may be any valid type.
    • removeFields: map.removeFields([key1, key2, ...]) -> message
      • Removes the fields of the map with the given keys.
      • The keys can be a dot separated path to remove a field in a nested message.
      • If a key is not found it will be ignored.
      • Keys must be of type string.
    • toMap: [map1, map2, ...].toMap() -> map
      • Converts a CEL list of CEL maps to a single CEL map
    • toDestinationPayloadFormat(): message.data.toDestinationPayloadFormat() -> string or bytes
      • Converts the message data to the destination payload format specified in Pipeline.Destination.output_payload_format
      • This function is meant to be applied to the message.data field.
      • If the destination payload format is not set, the function will return the message data unchanged.
    • toCloudEventJsonWithPayloadFormat: message.toCloudEventJsonWithPayloadFormat() -> map
      • Converts a message to the corresponding structure of JSON format for CloudEvents
      • This function applies toDestinationPayloadFormat() to the message data. It also sets the corresponding datacontenttype of the CloudEvent, as indicated by Pipeline.Destination.output_payload_format. If no output_payload_format is set it will use the existing datacontenttype on the CloudEvent if present, else leave datacontenttype absent.
      • This function expects that the content of the message will adhere to the standard CloudEvent format. If it doesn’t then this function will fail.
      • The result is a CEL map that corresponds to the JSON representation of the CloudEvent. To convert that data to a JSON string it can be chained with the toJsonString function.

#transformation_template=

def transformation_template=(value) -> ::String
Parameter
  • value (::String) —

    Optional. The CEL expression template to apply to transform messages. The following CEL extension functions are provided for use in this CEL expression:

    • merge: map1.merge(map2) -> map3
      • Merges the passed CEL map with the existing CEL map the function is applied to.
      • If the same key exists in both maps, if the key's value is type map both maps are merged else the value from the passed map is used.
    • denormalize: map.denormalize() -> map
      • Denormalizes a CEL map such that every value of type map or key in the map is expanded to return a single level map.
      • The resulting keys are "." separated indices of the map keys.
      • For example: { "a": 1, "b": { "c": 2, "d": 3 } "e": [4, 5] } .denormalize() -> { "a": 1, "b.c": 2, "b.d": 3, "e.0": 4, "e.1": 5 }
    • setField: map.setField(key, value) -> message
      • Sets the field of the message with the given key to the given value.
      • If the field is not present it will be added.
      • If the field is present it will be overwritten.
      • The key can be a dot separated path to set a field in a nested message.
      • Key must be of type string.
      • Value may be any valid type.
    • removeFields: map.removeFields([key1, key2, ...]) -> message
      • Removes the fields of the map with the given keys.
      • The keys can be a dot separated path to remove a field in a nested message.
      • If a key is not found it will be ignored.
      • Keys must be of type string.
    • toMap: [map1, map2, ...].toMap() -> map
      • Converts a CEL list of CEL maps to a single CEL map
    • toDestinationPayloadFormat(): message.data.toDestinationPayloadFormat() -> string or bytes
      • Converts the message data to the destination payload format specified in Pipeline.Destination.output_payload_format
      • This function is meant to be applied to the message.data field.
      • If the destination payload format is not set, the function will return the message data unchanged.
    • toCloudEventJsonWithPayloadFormat: message.toCloudEventJsonWithPayloadFormat() -> map
      • Converts a message to the corresponding structure of JSON format for CloudEvents
      • This function applies toDestinationPayloadFormat() to the message data. It also sets the corresponding datacontenttype of the CloudEvent, as indicated by Pipeline.Destination.output_payload_format. If no output_payload_format is set it will use the existing datacontenttype on the CloudEvent if present, else leave datacontenttype absent.
      • This function expects that the content of the message will adhere to the standard CloudEvent format. If it doesn’t then this function will fail.
      • The result is a CEL map that corresponds to the JSON representation of the CloudEvent. To convert that data to a JSON string it can be chained with the toJsonString function.
Returns
  • (::String) —

    Optional. The CEL expression template to apply to transform messages. The following CEL extension functions are provided for use in this CEL expression:

    • merge: map1.merge(map2) -> map3
      • Merges the passed CEL map with the existing CEL map the function is applied to.
      • If the same key exists in both maps, if the key's value is type map both maps are merged else the value from the passed map is used.
    • denormalize: map.denormalize() -> map
      • Denormalizes a CEL map such that every value of type map or key in the map is expanded to return a single level map.
      • The resulting keys are "." separated indices of the map keys.
      • For example: { "a": 1, "b": { "c": 2, "d": 3 } "e": [4, 5] } .denormalize() -> { "a": 1, "b.c": 2, "b.d": 3, "e.0": 4, "e.1": 5 }
    • setField: map.setField(key, value) -> message
      • Sets the field of the message with the given key to the given value.
      • If the field is not present it will be added.
      • If the field is present it will be overwritten.
      • The key can be a dot separated path to set a field in a nested message.
      • Key must be of type string.
      • Value may be any valid type.
    • removeFields: map.removeFields([key1, key2, ...]) -> message
      • Removes the fields of the map with the given keys.
      • The keys can be a dot separated path to remove a field in a nested message.
      • If a key is not found it will be ignored.
      • Keys must be of type string.
    • toMap: [map1, map2, ...].toMap() -> map
      • Converts a CEL list of CEL maps to a single CEL map
    • toDestinationPayloadFormat(): message.data.toDestinationPayloadFormat() -> string or bytes
      • Converts the message data to the destination payload format specified in Pipeline.Destination.output_payload_format
      • This function is meant to be applied to the message.data field.
      • If the destination payload format is not set, the function will return the message data unchanged.
    • toCloudEventJsonWithPayloadFormat: message.toCloudEventJsonWithPayloadFormat() -> map
      • Converts a message to the corresponding structure of JSON format for CloudEvents
      • This function applies toDestinationPayloadFormat() to the message data. It also sets the corresponding datacontenttype of the CloudEvent, as indicated by Pipeline.Destination.output_payload_format. If no output_payload_format is set it will use the existing datacontenttype on the CloudEvent if present, else leave datacontenttype absent.
      • This function expects that the content of the message will adhere to the standard CloudEvent format. If it doesn’t then this function will fail.
      • The result is a CEL map that corresponds to the JSON representation of the CloudEvent. To convert that data to a JSON string it can be chained with the toJsonString function.