Google Native

Pulumi Official
Package maintained by Pulumi
v0.18.2 published on Monday, May 2, 2022 by Pulumi

getParticipant

Retrieves a conversation participant.

Using getParticipant

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function getParticipant(args: GetParticipantArgs, opts?: InvokeOptions): Promise<GetParticipantResult>
function getParticipantOutput(args: GetParticipantOutputArgs, opts?: InvokeOptions): Output<GetParticipantResult>
def get_participant(conversation_id: Optional[str] = None,
                    location: Optional[str] = None,
                    participant_id: Optional[str] = None,
                    project: Optional[str] = None,
                    opts: Optional[InvokeOptions] = None) -> GetParticipantResult
def get_participant_output(conversation_id: Optional[pulumi.Input[str]] = None,
                    location: Optional[pulumi.Input[str]] = None,
                    participant_id: Optional[pulumi.Input[str]] = None,
                    project: Optional[pulumi.Input[str]] = None,
                    opts: Optional[InvokeOptions] = None) -> Output[GetParticipantResult]
func LookupParticipant(ctx *Context, args *LookupParticipantArgs, opts ...InvokeOption) (*LookupParticipantResult, error)
func LookupParticipantOutput(ctx *Context, args *LookupParticipantOutputArgs, opts ...InvokeOption) LookupParticipantResultOutput

> Note: This function is named LookupParticipant in the Go SDK.

public static class GetParticipant 
{
    public static Task<GetParticipantResult> InvokeAsync(GetParticipantArgs args, InvokeOptions? opts = null)
    public static Output<GetParticipantResult> Invoke(GetParticipantInvokeArgs args, InvokeOptions? opts = null)
}
public static CompletableFuture<GetParticipantResult> getParticipant(GetParticipantArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet
Fn::Invoke:
  Function: google-native:dialogflow/v2beta1:getParticipant
  Arguments:
    # Arguments dictionary

The following arguments are supported:

ConversationId string
Location string
ParticipantId string
Project string
ConversationId string
Location string
ParticipantId string
Project string
conversationId String
location String
participantId String
project String
conversationId string
location string
participantId string
project string
conversationId String
location String
participantId String
project String

getParticipant Result

The following output properties are available:

DocumentsMetadataFilters Dictionary<string, string>

Optional. Key-value filters on the metadata of documents returned by article suggestion. If specified, article suggestion only returns suggested documents that match all filters in their Document.metadata. Multiple values for a metadata key should be concatenated by comma. For example, filters to match all documents that have 'US' or 'CA' in their market metadata values and 'agent' in their user metadata values will be documents_metadata_filters { key: "market" value: "US,CA" } documents_metadata_filters { key: "user" value: "agent" }

Name string

Optional. The unique identifier of this participant. Format: projects//locations//conversations//participants/.

ObfuscatedExternalUserId string

Optional. Obfuscated user id that should be associated with the created participant. You can specify a user id as follows: 1. If you set this field in CreateParticipantRequest or UpdateParticipantRequest, Dialogflow adds the obfuscated user id with the participant. 2. If you set this field in AnalyzeContent or StreamingAnalyzeContent, Dialogflow will update Participant.obfuscated_external_user_id. Dialogflow uses this user id for following purposes: 1) Billing and measurement. If user with the same obfuscated_external_user_id is created in a later conversation, dialogflow will know it's the same user. 2) Agent assist suggestion personalization. For example, Dialogflow can use it to provide personalized smart reply suggestions for this user. Note: * Please never pass raw user ids to Dialogflow. Always obfuscate your user id first. * Dialogflow only accepts a UTF-8 encoded string, e.g., a hex digest of a hash function like SHA-512. * The length of the user id must be <= 256 characters.

Role string

Immutable. The role this participant plays in the conversation. This field must be set during participant creation and is then immutable.

DocumentsMetadataFilters map[string]string

Optional. Key-value filters on the metadata of documents returned by article suggestion. If specified, article suggestion only returns suggested documents that match all filters in their Document.metadata. Multiple values for a metadata key should be concatenated by comma. For example, filters to match all documents that have 'US' or 'CA' in their market metadata values and 'agent' in their user metadata values will be documents_metadata_filters { key: "market" value: "US,CA" } documents_metadata_filters { key: "user" value: "agent" }

Name string

Optional. The unique identifier of this participant. Format: projects//locations//conversations//participants/.

ObfuscatedExternalUserId string

Optional. Obfuscated user id that should be associated with the created participant. You can specify a user id as follows: 1. If you set this field in CreateParticipantRequest or UpdateParticipantRequest, Dialogflow adds the obfuscated user id with the participant. 2. If you set this field in AnalyzeContent or StreamingAnalyzeContent, Dialogflow will update Participant.obfuscated_external_user_id. Dialogflow uses this user id for following purposes: 1) Billing and measurement. If user with the same obfuscated_external_user_id is created in a later conversation, dialogflow will know it's the same user. 2) Agent assist suggestion personalization. For example, Dialogflow can use it to provide personalized smart reply suggestions for this user. Note: * Please never pass raw user ids to Dialogflow. Always obfuscate your user id first. * Dialogflow only accepts a UTF-8 encoded string, e.g., a hex digest of a hash function like SHA-512. * The length of the user id must be <= 256 characters.

Role string

Immutable. The role this participant plays in the conversation. This field must be set during participant creation and is then immutable.

documentsMetadataFilters Map

Optional. Key-value filters on the metadata of documents returned by article suggestion. If specified, article suggestion only returns suggested documents that match all filters in their Document.metadata. Multiple values for a metadata key should be concatenated by comma. For example, filters to match all documents that have 'US' or 'CA' in their market metadata values and 'agent' in their user metadata values will be documents_metadata_filters { key: "market" value: "US,CA" } documents_metadata_filters { key: "user" value: "agent" }

name String

Optional. The unique identifier of this participant. Format: projects//locations//conversations//participants/.

obfuscatedExternalUserId String

Optional. Obfuscated user id that should be associated with the created participant. You can specify a user id as follows: 1. If you set this field in CreateParticipantRequest or UpdateParticipantRequest, Dialogflow adds the obfuscated user id with the participant. 2. If you set this field in AnalyzeContent or StreamingAnalyzeContent, Dialogflow will update Participant.obfuscated_external_user_id. Dialogflow uses this user id for following purposes: 1) Billing and measurement. If user with the same obfuscated_external_user_id is created in a later conversation, dialogflow will know it's the same user. 2) Agent assist suggestion personalization. For example, Dialogflow can use it to provide personalized smart reply suggestions for this user. Note: * Please never pass raw user ids to Dialogflow. Always obfuscate your user id first. * Dialogflow only accepts a UTF-8 encoded string, e.g., a hex digest of a hash function like SHA-512. * The length of the user id must be <= 256 characters.

role String

Immutable. The role this participant plays in the conversation. This field must be set during participant creation and is then immutable.

documentsMetadataFilters {[key: string]: string}

Optional. Key-value filters on the metadata of documents returned by article suggestion. If specified, article suggestion only returns suggested documents that match all filters in their Document.metadata. Multiple values for a metadata key should be concatenated by comma. For example, filters to match all documents that have 'US' or 'CA' in their market metadata values and 'agent' in their user metadata values will be documents_metadata_filters { key: "market" value: "US,CA" } documents_metadata_filters { key: "user" value: "agent" }

name string

Optional. The unique identifier of this participant. Format: projects//locations//conversations//participants/.

obfuscatedExternalUserId string

Optional. Obfuscated user id that should be associated with the created participant. You can specify a user id as follows: 1. If you set this field in CreateParticipantRequest or UpdateParticipantRequest, Dialogflow adds the obfuscated user id with the participant. 2. If you set this field in AnalyzeContent or StreamingAnalyzeContent, Dialogflow will update Participant.obfuscated_external_user_id. Dialogflow uses this user id for following purposes: 1) Billing and measurement. If user with the same obfuscated_external_user_id is created in a later conversation, dialogflow will know it's the same user. 2) Agent assist suggestion personalization. For example, Dialogflow can use it to provide personalized smart reply suggestions for this user. Note: * Please never pass raw user ids to Dialogflow. Always obfuscate your user id first. * Dialogflow only accepts a UTF-8 encoded string, e.g., a hex digest of a hash function like SHA-512. * The length of the user id must be <= 256 characters.

role string

Immutable. The role this participant plays in the conversation. This field must be set during participant creation and is then immutable.

documents_metadata_filters Mapping[str, str]

Optional. Key-value filters on the metadata of documents returned by article suggestion. If specified, article suggestion only returns suggested documents that match all filters in their Document.metadata. Multiple values for a metadata key should be concatenated by comma. For example, filters to match all documents that have 'US' or 'CA' in their market metadata values and 'agent' in their user metadata values will be documents_metadata_filters { key: "market" value: "US,CA" } documents_metadata_filters { key: "user" value: "agent" }

name str

Optional. The unique identifier of this participant. Format: projects//locations//conversations//participants/.

obfuscated_external_user_id str

Optional. Obfuscated user id that should be associated with the created participant. You can specify a user id as follows: 1. If you set this field in CreateParticipantRequest or UpdateParticipantRequest, Dialogflow adds the obfuscated user id with the participant. 2. If you set this field in AnalyzeContent or StreamingAnalyzeContent, Dialogflow will update Participant.obfuscated_external_user_id. Dialogflow uses this user id for following purposes: 1) Billing and measurement. If user with the same obfuscated_external_user_id is created in a later conversation, dialogflow will know it's the same user. 2) Agent assist suggestion personalization. For example, Dialogflow can use it to provide personalized smart reply suggestions for this user. Note: * Please never pass raw user ids to Dialogflow. Always obfuscate your user id first. * Dialogflow only accepts a UTF-8 encoded string, e.g., a hex digest of a hash function like SHA-512. * The length of the user id must be <= 256 characters.

role str

Immutable. The role this participant plays in the conversation. This field must be set during participant creation and is then immutable.

documentsMetadataFilters Map

Optional. Key-value filters on the metadata of documents returned by article suggestion. If specified, article suggestion only returns suggested documents that match all filters in their Document.metadata. Multiple values for a metadata key should be concatenated by comma. For example, filters to match all documents that have 'US' or 'CA' in their market metadata values and 'agent' in their user metadata values will be documents_metadata_filters { key: "market" value: "US,CA" } documents_metadata_filters { key: "user" value: "agent" }

name String

Optional. The unique identifier of this participant. Format: projects//locations//conversations//participants/.

obfuscatedExternalUserId String

Optional. Obfuscated user id that should be associated with the created participant. You can specify a user id as follows: 1. If you set this field in CreateParticipantRequest or UpdateParticipantRequest, Dialogflow adds the obfuscated user id with the participant. 2. If you set this field in AnalyzeContent or StreamingAnalyzeContent, Dialogflow will update Participant.obfuscated_external_user_id. Dialogflow uses this user id for following purposes: 1) Billing and measurement. If user with the same obfuscated_external_user_id is created in a later conversation, dialogflow will know it's the same user. 2) Agent assist suggestion personalization. For example, Dialogflow can use it to provide personalized smart reply suggestions for this user. Note: * Please never pass raw user ids to Dialogflow. Always obfuscate your user id first. * Dialogflow only accepts a UTF-8 encoded string, e.g., a hex digest of a hash function like SHA-512. * The length of the user id must be <= 256 characters.

role String

Immutable. The role this participant plays in the conversation. This field must be set during participant creation and is then immutable.

Package Details

Repository
https://github.com/pulumi/pulumi-google-native
License
Apache-2.0