chore: Update discovery artifacts (#1269)
* chore(accessapproval): update the api
* chore(accesscontextmanager): update the api
* chore(apigateway): update the api
* chore(area120tables): update the api
* chore(bigquerydatatransfer): update the api
* chore(billingbudgets): update the api
* chore(calendar): update the api
* chore(chat): update the api
* chore(cloudbilling): update the api
* chore(cloudfunctions): update the api
* chore(cloudkms): update the api
* chore(cloudprofiler): update the api
* chore(cloudscheduler): update the api
* chore(cloudshell): update the api
* chore(cloudtasks): update the api
* chore(composer): update the api
* chore(datalabeling): update the api
* chore(datamigration): update the api
* chore(deploymentmanager): update the api
* chore(dlp): update the api
* chore(doubleclickbidmanager): update the api
* chore(drive): update the api
* chore(driveactivity): update the api
* chore(eventarc): update the api
* chore(fcm): update the api
* chore(firebaseml): update the api
* chore(firestore): update the api
* chore(gameservices): update the api
* chore(genomics): update the api
* chore(groupsmigration): update the api
* chore(iam): update the api
* chore(language): update the api
* chore(libraryagent): update the api
* chore(lifesciences): update the api
* chore(logging): update the api
* chore(monitoring): update the api
* chore(policytroubleshooter): update the api
* chore(recommendationengine): update the api
* chore(recommender): update the api
* chore(redis): update the api
* chore(runtimeconfig): update the api
* chore(script): update the api
* chore(serviceconsumermanagement): update the api
* chore(servicedirectory): update the api
* chore(servicenetworking): update the api
* chore(serviceusage): update the api
* chore(sheets): update the api
* chore(texttospeech): update the api
* chore(toolresults): update the api
* chore(transcoder): update the api
* chore(translate): update the api
* chore(vision): update the api
* chore(workflows): update the api
Co-authored-by: Yoshi Automation <yoshi-automation@google.com>
Co-authored-by: Anthonios Partheniou <partheniou@google.com>
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+
+<h1><a href="dialogflow_v2beta1.html">Dialogflow API</a> . <a href="dialogflow_v2beta1.projects.html">projects</a> . <a href="dialogflow_v2beta1.projects.conversations.html">conversations</a> . <a href="dialogflow_v2beta1.projects.conversations.messages.html">messages</a></h1>
+<h2>Instance Methods</h2>
+<p class="toc_element">
+ <code><a href="#batchCreate">batchCreate(parent, body=None, x__xgafv=None)</a></code></p>
+<p class="firstline">Batch ingests messages to conversation. Customers can use this RPC to ingest historical messages to conversation.</p>
+<p class="toc_element">
+ <code><a href="#close">close()</a></code></p>
+<p class="firstline">Close httplib2 connections.</p>
+<p class="toc_element">
+ <code><a href="#list">list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p>
+<p class="firstline">Lists messages that belong to a given conversation. `messages` are ordered by `create_time` in descending order. To fetch updates without duplication, send request with filter `create_time_epoch_microseconds > [first item's create_time of previous request]` and empty page_token.</p>
+<p class="toc_element">
+ <code><a href="#list_next">list_next(previous_request, previous_response)</a></code></p>
+<p class="firstline">Retrieves the next page of results.</p>
+<h3>Method Details</h3>
+<div class="method">
+ <code class="details" id="batchCreate">batchCreate(parent, body=None, x__xgafv=None)</code>
+ <pre>Batch ingests messages to conversation. Customers can use this RPC to ingest historical messages to conversation.
+
+Args:
+ parent: string, Required. Resource identifier of the conversation to create message. Format: `projects//locations//conversations/`. (required)
+ body: object, The request body.
+ The object takes the form of:
+
+{ # The request message for Conversations.BatchCreateMessagesRequest.
+ "requests": [ # Required. A maximum of 1000 Messages can be created in a batch. CreateMessageRequest.message.send_time is required. All created messages will have identical Message.create_time.
+ { # The request message to create one Message. Currently it is only used in BatchCreateMessagesRequest.
+ "message": { # Represents a message posted into a conversation. # Required. The message to create. Message.participant is required.
+ "content": "A String", # Required. The message content.
+ "createTime": "A String", # Output only. The time when the message was created in Contact Center AI.
+ "languageCode": "A String", # Optional. The message language. This should be a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US".
+ "messageAnnotation": { # Represents the result of annotation for the message. # Output only. The annotation for the message.
+ "containEntities": True or False, # Required. Indicates whether the text message contains entities.
+ "parts": [ # Optional. The collection of annotated message parts ordered by their position in the message. You can recover the annotated message by concatenating [AnnotatedMessagePart.text].
+ { # Represents a part of a message possibly annotated with an entity. The part can be an entity or purely a part of the message between two entities or message start/end.
+ "entityType": "A String", # Optional. The [Dialogflow system entity type](https://cloud.google.com/dialogflow/docs/reference/system-entities) of this message part. If this is empty, Dialogflow could not annotate the phrase part with a system entity.
+ "formattedValue": "", # Optional. The [Dialogflow system entity formatted value ](https://cloud.google.com/dialogflow/docs/reference/system-entities) of this message part. For example for a system entity of type `@sys.unit-currency`, this may contain: { "amount": 5, "currency": "USD" }
+ "text": "A String", # Required. A part of a message possibly annotated with an entity.
+ },
+ ],
+ },
+ "name": "A String", # Optional. The unique identifier of the message. Format: `projects//locations//conversations//messages/`.
+ "participant": "A String", # Output only. The participant that sends this message.
+ "participantRole": "A String", # Output only. The role of the participant.
+ "sendTime": "A String", # Optional. The time when the message was sent.
+ "sentimentAnalysis": { # The result of sentiment analysis. Sentiment analysis inspects user input and identifies the prevailing subjective opinion, especially to determine a user's attitude as positive, negative, or neutral. For Participants.DetectIntent, it needs to be configured in DetectIntentRequest.query_params. For Participants.StreamingDetectIntent, it needs to be configured in StreamingDetectIntentRequest.query_params. And for Participants.AnalyzeContent and Participants.StreamingAnalyzeContent, it needs to be configured in ConversationProfile.human_agent_assistant_config # Output only. The sentiment analysis result for the message.
+ "queryTextSentiment": { # The sentiment, such as positive/negative feeling or association, for a unit of analysis, such as the query text. # The sentiment analysis result for `query_text`.
+ "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents the absolute magnitude of sentiment, regardless of score (positive or negative).
+ "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 (positive sentiment).
+ },
+ },
+ },
+ "parent": "A String", # Required. Resource identifier of the conversation to create message. Format: `projects//locations//conversations/`.
+ },
+ ],
+}
+
+ x__xgafv: string, V1 error format.
+ Allowed values
+ 1 - v1 error format
+ 2 - v2 error format
+
+Returns:
+ An object of the form:
+
+ { # The request message for Conversations.BatchCreateMessagesResponse.
+ "messages": [ # Messages created.
+ { # Represents a message posted into a conversation.
+ "content": "A String", # Required. The message content.
+ "createTime": "A String", # Output only. The time when the message was created in Contact Center AI.
+ "languageCode": "A String", # Optional. The message language. This should be a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US".
+ "messageAnnotation": { # Represents the result of annotation for the message. # Output only. The annotation for the message.
+ "containEntities": True or False, # Required. Indicates whether the text message contains entities.
+ "parts": [ # Optional. The collection of annotated message parts ordered by their position in the message. You can recover the annotated message by concatenating [AnnotatedMessagePart.text].
+ { # Represents a part of a message possibly annotated with an entity. The part can be an entity or purely a part of the message between two entities or message start/end.
+ "entityType": "A String", # Optional. The [Dialogflow system entity type](https://cloud.google.com/dialogflow/docs/reference/system-entities) of this message part. If this is empty, Dialogflow could not annotate the phrase part with a system entity.
+ "formattedValue": "", # Optional. The [Dialogflow system entity formatted value ](https://cloud.google.com/dialogflow/docs/reference/system-entities) of this message part. For example for a system entity of type `@sys.unit-currency`, this may contain: { "amount": 5, "currency": "USD" }
+ "text": "A String", # Required. A part of a message possibly annotated with an entity.
+ },
+ ],
+ },
+ "name": "A String", # Optional. The unique identifier of the message. Format: `projects//locations//conversations//messages/`.
+ "participant": "A String", # Output only. The participant that sends this message.
+ "participantRole": "A String", # Output only. The role of the participant.
+ "sendTime": "A String", # Optional. The time when the message was sent.
+ "sentimentAnalysis": { # The result of sentiment analysis. Sentiment analysis inspects user input and identifies the prevailing subjective opinion, especially to determine a user's attitude as positive, negative, or neutral. For Participants.DetectIntent, it needs to be configured in DetectIntentRequest.query_params. For Participants.StreamingDetectIntent, it needs to be configured in StreamingDetectIntentRequest.query_params. And for Participants.AnalyzeContent and Participants.StreamingAnalyzeContent, it needs to be configured in ConversationProfile.human_agent_assistant_config # Output only. The sentiment analysis result for the message.
+ "queryTextSentiment": { # The sentiment, such as positive/negative feeling or association, for a unit of analysis, such as the query text. # The sentiment analysis result for `query_text`.
+ "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents the absolute magnitude of sentiment, regardless of score (positive or negative).
+ "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 (positive sentiment).
+ },
+ },
+ },
+ ],
+}</pre>
+</div>
+
+<div class="method">
+ <code class="details" id="close">close()</code>
+ <pre>Close httplib2 connections.</pre>
+</div>
+
+<div class="method">
+ <code class="details" id="list">list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</code>
+ <pre>Lists messages that belong to a given conversation. `messages` are ordered by `create_time` in descending order. To fetch updates without duplication, send request with filter `create_time_epoch_microseconds > [first item's create_time of previous request]` and empty page_token.
+
+Args:
+ parent: string, Required. The name of the conversation to list messages for. Format: `projects//locations//conversations/` (required)
+ filter: string, Optional. Filter on message fields. Currently predicates on `create_time` and `create_time_epoch_microseconds` are supported. `create_time` only support milliseconds accuracy. E.g., `create_time_epoch_microseconds > 1551790877964485` or `create_time > 2017-01-15T01:30:15.01Z`. For more information about filtering, see [API Filtering](https://aip.dev/160).
+ pageSize: integer, Optional. The maximum number of items to return in a single page. By default 100 and at most 1000.
+ pageToken: string, Optional. The next_page_token value returned from a previous list request.
+ x__xgafv: string, V1 error format.
+ Allowed values
+ 1 - v1 error format
+ 2 - v2 error format
+
+Returns:
+ An object of the form:
+
+ { # The response message for Conversations.ListMessages.
+ "messages": [ # Required. The list of messages. There will be a maximum number of items returned based on the page_size field in the request. `messages` is sorted by `create_time` in descending order.
+ { # Represents a message posted into a conversation.
+ "content": "A String", # Required. The message content.
+ "createTime": "A String", # Output only. The time when the message was created in Contact Center AI.
+ "languageCode": "A String", # Optional. The message language. This should be a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US".
+ "messageAnnotation": { # Represents the result of annotation for the message. # Output only. The annotation for the message.
+ "containEntities": True or False, # Required. Indicates whether the text message contains entities.
+ "parts": [ # Optional. The collection of annotated message parts ordered by their position in the message. You can recover the annotated message by concatenating [AnnotatedMessagePart.text].
+ { # Represents a part of a message possibly annotated with an entity. The part can be an entity or purely a part of the message between two entities or message start/end.
+ "entityType": "A String", # Optional. The [Dialogflow system entity type](https://cloud.google.com/dialogflow/docs/reference/system-entities) of this message part. If this is empty, Dialogflow could not annotate the phrase part with a system entity.
+ "formattedValue": "", # Optional. The [Dialogflow system entity formatted value ](https://cloud.google.com/dialogflow/docs/reference/system-entities) of this message part. For example for a system entity of type `@sys.unit-currency`, this may contain: { "amount": 5, "currency": "USD" }
+ "text": "A String", # Required. A part of a message possibly annotated with an entity.
+ },
+ ],
+ },
+ "name": "A String", # Optional. The unique identifier of the message. Format: `projects//locations//conversations//messages/`.
+ "participant": "A String", # Output only. The participant that sends this message.
+ "participantRole": "A String", # Output only. The role of the participant.
+ "sendTime": "A String", # Optional. The time when the message was sent.
+ "sentimentAnalysis": { # The result of sentiment analysis. Sentiment analysis inspects user input and identifies the prevailing subjective opinion, especially to determine a user's attitude as positive, negative, or neutral. For Participants.DetectIntent, it needs to be configured in DetectIntentRequest.query_params. For Participants.StreamingDetectIntent, it needs to be configured in StreamingDetectIntentRequest.query_params. And for Participants.AnalyzeContent and Participants.StreamingAnalyzeContent, it needs to be configured in ConversationProfile.human_agent_assistant_config # Output only. The sentiment analysis result for the message.
+ "queryTextSentiment": { # The sentiment, such as positive/negative feeling or association, for a unit of analysis, such as the query text. # The sentiment analysis result for `query_text`.
+ "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents the absolute magnitude of sentiment, regardless of score (positive or negative).
+ "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 (positive sentiment).
+ },
+ },
+ },
+ ],
+ "nextPageToken": "A String", # Optional. Token to retrieve the next page of results, or empty if there are no more results in the list.
+}</pre>
+</div>
+
+<div class="method">
+ <code class="details" id="list_next">list_next(previous_request, previous_response)</code>
+ <pre>Retrieves the next page of results.
+
+Args:
+ previous_request: The request for the previous page. (required)
+ previous_response: The response from the request for the previous page. (required)
+
+Returns:
+ A request object that you can call 'execute()' on to request the next
+ page. Returns None if there are no more items in the collection.
+ </pre>
+</div>
+
+</body></html>
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