chore: Update discovery artifacts (#1477)
## Deleted keys were detected in the following stable discovery artifacts:
apigee v1 https://github.com/googleapis/google-api-python-client/commit/4485c5f3b32c9bda4f50a2a96c5870414f7d870f
sqladmin v1 https://github.com/googleapis/google-api-python-client/commit/41d51e34759b181692ed96d9d490a9cfc5a28459
## Deleted keys were detected in the following pre-stable discovery artifacts:
sqladmin v1beta4 https://github.com/googleapis/google-api-python-client/commit/41d51e34759b181692ed96d9d490a9cfc5a28459
transcoder v1beta1 https://github.com/googleapis/google-api-python-client/commit/1e0b0854e31f52013a8c5423efbd5e34c953e08c
## Discovery Artifact Change Summary:
feat(accesscontextmanager): update the api https://github.com/googleapis/google-api-python-client/commit/30216a669249442cac8f0fb8bb347b1352d8f087
feat(alertcenter): update the api https://github.com/googleapis/google-api-python-client/commit/39b084706537111e8403be6e69f0fc9d82b2f383
feat(apigee): update the api https://github.com/googleapis/google-api-python-client/commit/4485c5f3b32c9bda4f50a2a96c5870414f7d870f
feat(bigquery): update the api https://github.com/googleapis/google-api-python-client/commit/304bbde2360066caf55575e3be5a04fdc8bf8b09
feat(chromemanagement): update the api https://github.com/googleapis/google-api-python-client/commit/0ba28b47236a81a996a3607567b61ab38150617d
feat(cloudasset): update the api https://github.com/googleapis/google-api-python-client/commit/792aa5593ea64ceb4b565e950e153e396274b3b8
feat(cloudbuild): update the api https://github.com/googleapis/google-api-python-client/commit/6b06387ca29e76d26f257c7a4eb6864fe27e082e
feat(cloudchannel): update the api https://github.com/googleapis/google-api-python-client/commit/0b0444ea192f79c5564745be8b1d52b52a74d1fb
feat(cloudkms): update the api https://github.com/googleapis/google-api-python-client/commit/7dc278459cbd32bf15b39633327743cfa0beeea3
feat(composer): update the api https://github.com/googleapis/google-api-python-client/commit/92131bff38ab7644e549f3d71f9c0a84755455db
feat(container): update the api https://github.com/googleapis/google-api-python-client/commit/53d8b4b3e3c5d16ffd14ba1af1cf1769d9249067
feat(containeranalysis): update the api https://github.com/googleapis/google-api-python-client/commit/9ab94f3f4c2ccafdf8b298dad8c6a5c2aa61a606
feat(dialogflow): update the api https://github.com/googleapis/google-api-python-client/commit/b49bfdaedbed3378b061e85f937a36e97732fcd4
feat(iam): update the api https://github.com/googleapis/google-api-python-client/commit/0832247d126965b472a271167028499f015de1ae
feat(metastore): update the api https://github.com/googleapis/google-api-python-client/commit/dd83236343d603e964613b16e9afa25eff60f97c
feat(ondemandscanning): update the api https://github.com/googleapis/google-api-python-client/commit/6ffbe182425ec217230fc083e217676e915bb786
feat(osconfig): update the api https://github.com/googleapis/google-api-python-client/commit/e079d43be4291ca10be7caf432012c6553e0398e
feat(oslogin): update the api https://github.com/googleapis/google-api-python-client/commit/d3ec653bdd293a63ae0b3772ce83e1fda73d5de5
feat(pubsub): update the api https://github.com/googleapis/google-api-python-client/commit/06dfff22baec2551508b93e29e4c36fa442ab299
feat(pubsublite): update the api https://github.com/googleapis/google-api-python-client/commit/4287a7d537741391a9afe9e669b98010ed4fc0ab
feat(recaptchaenterprise): update the api https://github.com/googleapis/google-api-python-client/commit/ebfeb8fc00a1c6a8603b35640845c5cdacf53cb2
feat(recommender): update the api https://github.com/googleapis/google-api-python-client/commit/01f2d6cc989ce337537a51ead8ffd3d6fc7e6c5d
feat(speech): update the api https://github.com/googleapis/google-api-python-client/commit/601afcf08fd96421b64ef4c6f098f09f0748ce69
feat(sqladmin): update the api https://github.com/googleapis/google-api-python-client/commit/41d51e34759b181692ed96d9d490a9cfc5a28459
feat(tagmanager): update the api https://github.com/googleapis/google-api-python-client/commit/47a522aac79ae9283a0c7ee7a2d0716e605d8c21
feat(transcoder): update the api https://github.com/googleapis/google-api-python-client/commit/1e0b0854e31f52013a8c5423efbd5e34c953e08c
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+
+<h1><a href="contactcenterinsights_v1.html">Contact Center AI Insights API</a> . <a href="contactcenterinsights_v1.projects.html">projects</a> . <a href="contactcenterinsights_v1.projects.locations.html">locations</a> . <a href="contactcenterinsights_v1.projects.locations.conversations.html">conversations</a> . <a href="contactcenterinsights_v1.projects.locations.conversations.analyses.html">analyses</a></h1>
+<h2>Instance Methods</h2>
+<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="#create">create(parent, body=None, x__xgafv=None)</a></code></p>
+<p class="firstline">Creates an analysis. The long running operation is done when the analysis has completed.</p>
+<p class="toc_element">
+ <code><a href="#delete">delete(name, x__xgafv=None)</a></code></p>
+<p class="firstline">Deletes an analysis.</p>
+<p class="toc_element">
+ <code><a href="#get">get(name, x__xgafv=None)</a></code></p>
+<p class="firstline">Gets an analysis.</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 analyses.</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="close">close()</code>
+ <pre>Close httplib2 connections.</pre>
+</div>
+
+<div class="method">
+ <code class="details" id="create">create(parent, body=None, x__xgafv=None)</code>
+ <pre>Creates an analysis. The long running operation is done when the analysis has completed.
+
+Args:
+ parent: string, Required. The parent resource of the analysis. (required)
+ body: object, The request body.
+ The object takes the form of:
+
+{ # The analysis resource.
+ "analysisResult": { # The result of an analysis. # Output only. The result of the analysis, which is populated when the analysis finishes.
+ "callAnalysisMetadata": { # Call-specific metadata created during analysis. # Call-specific metadata created by the analysis.
+ "annotations": [ # A list of call annotations that apply to this call.
+ { # A piece of metadata that applies to a window of a call.
+ "annotationEndBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation ends, inclusive.
+ "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.
+ "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.
+ },
+ "annotationStartBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation starts, inclusive.
+ "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.
+ "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.
+ },
+ "channelTag": 42, # The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.
+ "entityMentionData": { # The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation. # Data specifying an entity mention.
+ "entityUniqueId": "A String", # The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to.
+ "sentiment": { # The data for a sentiment annotation. # Sentiment expressed for this mention of the entity.
+ "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
+ "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive).
+ },
+ "type": "A String", # The type of the entity mention.
+ },
+ "holdData": { # The data for a hold annotation. # Data specifying a hold.
+ },
+ "intentMatchData": { # The data for an intent match. Represents an intent match for a text segment in the conversation. A text segment can be part of a sentence, a complete sentence, or an utterance with multiple sentences. # Data specifying an intent match.
+ "intentUniqueId": "A String", # The id of the matched intent. Can be used to retrieve the corresponding intent information.
+ },
+ "interruptionData": { # The data for an interruption annotation. # Data specifying an interruption.
+ },
+ "phraseMatchData": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. # Data specifying a phrase match.
+ "displayName": "A String", # The human-readable name of the phrase matcher.
+ "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher.
+ },
+ "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment.
+ "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
+ "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive).
+ },
+ "silenceData": { # The data for a silence annotation. # Data specifying silence.
+ },
+ },
+ ],
+ "entities": { # All the entities in the call.
+ "a_key": { # The data for an entity annotation. Represents a phrase in the conversation that is a known entity, such as a person, an organization, or location.
+ "displayName": "A String", # The representative name for the entity.
+ "metadata": { # Metadata associated with the entity. For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`), if they are available. For the metadata associated with other entity types, see the Type table below.
+ "a_key": "A String",
+ },
+ "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range. The salience score for an entity provides information about the importance or centrality of that entity to the entire document text. Scores closer to 0 are less salient, while scores closer to 1.0 are highly salient.
+ "sentiment": { # The data for a sentiment annotation. # The aggregate sentiment expressed for this entity in the conversation.
+ "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
+ "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive).
+ },
+ "type": "A String", # The entity type.
+ },
+ },
+ "intents": { # All the matched intents in the call.
+ "a_key": { # The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE.
+ "displayName": "A String", # The human-readable name of the intent.
+ "id": "A String", # The unique identifier of the intent.
+ },
+ },
+ "issueModelResult": { # Issue Modeling result on a conversation. # Overall conversation-level issue modeling result.
+ "issueModel": "A String", # Issue model that generates the result.
+ "issues": [ # All the matched issues.
+ { # Information about the issue.
+ "issue": "A String", # Resource name of the assigned issue.
+ "score": 3.14, # Score indicating the likelihood of the issue assignment. currently bounded on [0,1].
+ },
+ ],
+ },
+ "phraseMatchers": { # All the matched phrase matchers in the call.
+ "a_key": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match.
+ "displayName": "A String", # The human-readable name of the phrase matcher.
+ "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher.
+ },
+ },
+ "sentiments": [ # Overall conversation-level sentiment for each channel of the call.
+ { # One channel of conversation-level sentiment data.
+ "channelTag": 42, # The channel of the audio that the data applies to.
+ "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment.
+ "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
+ "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive).
+ },
+ },
+ ],
+ },
+ "endTime": "A String", # The time at which the analysis ended.
+ },
+ "createTime": "A String", # Output only. The time at which the analysis was created, which occurs when the long-running operation completes.
+ "name": "A String", # Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}
+ "requestTime": "A String", # Output only. The time at which the analysis was requested.
+}
+
+ x__xgafv: string, V1 error format.
+ Allowed values
+ 1 - v1 error format
+ 2 - v2 error format
+
+Returns:
+ An object of the form:
+
+ { # This resource represents a long-running operation that is the result of a network API call.
+ "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+ "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+ "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+ "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+ {
+ "a_key": "", # Properties of the object. Contains field @type with type URL.
+ },
+ ],
+ "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+ },
+ "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+ "a_key": "", # Properties of the object. Contains field @type with type URL.
+ },
+ "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+ "response": { # The normal response of the operation in case of success. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+ "a_key": "", # Properties of the object. Contains field @type with type URL.
+ },
+}</pre>
+</div>
+
+<div class="method">
+ <code class="details" id="delete">delete(name, x__xgafv=None)</code>
+ <pre>Deletes an analysis.
+
+Args:
+ name: string, Required. The name of the analysis to delete. (required)
+ x__xgafv: string, V1 error format.
+ Allowed values
+ 1 - v1 error format
+ 2 - v2 error format
+
+Returns:
+ An object of the form:
+
+ { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for `Empty` is empty JSON object `{}`.
+}</pre>
+</div>
+
+<div class="method">
+ <code class="details" id="get">get(name, x__xgafv=None)</code>
+ <pre>Gets an analysis.
+
+Args:
+ name: string, Required. The name of the analysis to get. (required)
+ x__xgafv: string, V1 error format.
+ Allowed values
+ 1 - v1 error format
+ 2 - v2 error format
+
+Returns:
+ An object of the form:
+
+ { # The analysis resource.
+ "analysisResult": { # The result of an analysis. # Output only. The result of the analysis, which is populated when the analysis finishes.
+ "callAnalysisMetadata": { # Call-specific metadata created during analysis. # Call-specific metadata created by the analysis.
+ "annotations": [ # A list of call annotations that apply to this call.
+ { # A piece of metadata that applies to a window of a call.
+ "annotationEndBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation ends, inclusive.
+ "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.
+ "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.
+ },
+ "annotationStartBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation starts, inclusive.
+ "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.
+ "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.
+ },
+ "channelTag": 42, # The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.
+ "entityMentionData": { # The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation. # Data specifying an entity mention.
+ "entityUniqueId": "A String", # The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to.
+ "sentiment": { # The data for a sentiment annotation. # Sentiment expressed for this mention of the entity.
+ "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
+ "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive).
+ },
+ "type": "A String", # The type of the entity mention.
+ },
+ "holdData": { # The data for a hold annotation. # Data specifying a hold.
+ },
+ "intentMatchData": { # The data for an intent match. Represents an intent match for a text segment in the conversation. A text segment can be part of a sentence, a complete sentence, or an utterance with multiple sentences. # Data specifying an intent match.
+ "intentUniqueId": "A String", # The id of the matched intent. Can be used to retrieve the corresponding intent information.
+ },
+ "interruptionData": { # The data for an interruption annotation. # Data specifying an interruption.
+ },
+ "phraseMatchData": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. # Data specifying a phrase match.
+ "displayName": "A String", # The human-readable name of the phrase matcher.
+ "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher.
+ },
+ "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment.
+ "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
+ "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive).
+ },
+ "silenceData": { # The data for a silence annotation. # Data specifying silence.
+ },
+ },
+ ],
+ "entities": { # All the entities in the call.
+ "a_key": { # The data for an entity annotation. Represents a phrase in the conversation that is a known entity, such as a person, an organization, or location.
+ "displayName": "A String", # The representative name for the entity.
+ "metadata": { # Metadata associated with the entity. For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`), if they are available. For the metadata associated with other entity types, see the Type table below.
+ "a_key": "A String",
+ },
+ "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range. The salience score for an entity provides information about the importance or centrality of that entity to the entire document text. Scores closer to 0 are less salient, while scores closer to 1.0 are highly salient.
+ "sentiment": { # The data for a sentiment annotation. # The aggregate sentiment expressed for this entity in the conversation.
+ "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
+ "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive).
+ },
+ "type": "A String", # The entity type.
+ },
+ },
+ "intents": { # All the matched intents in the call.
+ "a_key": { # The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE.
+ "displayName": "A String", # The human-readable name of the intent.
+ "id": "A String", # The unique identifier of the intent.
+ },
+ },
+ "issueModelResult": { # Issue Modeling result on a conversation. # Overall conversation-level issue modeling result.
+ "issueModel": "A String", # Issue model that generates the result.
+ "issues": [ # All the matched issues.
+ { # Information about the issue.
+ "issue": "A String", # Resource name of the assigned issue.
+ "score": 3.14, # Score indicating the likelihood of the issue assignment. currently bounded on [0,1].
+ },
+ ],
+ },
+ "phraseMatchers": { # All the matched phrase matchers in the call.
+ "a_key": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match.
+ "displayName": "A String", # The human-readable name of the phrase matcher.
+ "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher.
+ },
+ },
+ "sentiments": [ # Overall conversation-level sentiment for each channel of the call.
+ { # One channel of conversation-level sentiment data.
+ "channelTag": 42, # The channel of the audio that the data applies to.
+ "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment.
+ "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
+ "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive).
+ },
+ },
+ ],
+ },
+ "endTime": "A String", # The time at which the analysis ended.
+ },
+ "createTime": "A String", # Output only. The time at which the analysis was created, which occurs when the long-running operation completes.
+ "name": "A String", # Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}
+ "requestTime": "A String", # Output only. The time at which the analysis was requested.
+}</pre>
+</div>
+
+<div class="method">
+ <code class="details" id="list">list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</code>
+ <pre>Lists analyses.
+
+Args:
+ parent: string, Required. The parent resource of the analyses. (required)
+ filter: string, A filter to reduce results to a specific subset. Useful for querying conversations with specific properties.
+ pageSize: integer, The maximum number of analyses to return in the response. If this value is zero, the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.
+ pageToken: string, The value returned by the last `ListAnalysesResponse`; indicates that this is a continuation of a prior `ListAnalyses` call and the system should return the next page of data.
+ x__xgafv: string, V1 error format.
+ Allowed values
+ 1 - v1 error format
+ 2 - v2 error format
+
+Returns:
+ An object of the form:
+
+ { # The response to list analyses.
+ "analyses": [ # The analyses that match the request.
+ { # The analysis resource.
+ "analysisResult": { # The result of an analysis. # Output only. The result of the analysis, which is populated when the analysis finishes.
+ "callAnalysisMetadata": { # Call-specific metadata created during analysis. # Call-specific metadata created by the analysis.
+ "annotations": [ # A list of call annotations that apply to this call.
+ { # A piece of metadata that applies to a window of a call.
+ "annotationEndBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation ends, inclusive.
+ "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.
+ "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.
+ },
+ "annotationStartBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation starts, inclusive.
+ "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.
+ "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.
+ },
+ "channelTag": 42, # The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.
+ "entityMentionData": { # The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation. # Data specifying an entity mention.
+ "entityUniqueId": "A String", # The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to.
+ "sentiment": { # The data for a sentiment annotation. # Sentiment expressed for this mention of the entity.
+ "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
+ "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive).
+ },
+ "type": "A String", # The type of the entity mention.
+ },
+ "holdData": { # The data for a hold annotation. # Data specifying a hold.
+ },
+ "intentMatchData": { # The data for an intent match. Represents an intent match for a text segment in the conversation. A text segment can be part of a sentence, a complete sentence, or an utterance with multiple sentences. # Data specifying an intent match.
+ "intentUniqueId": "A String", # The id of the matched intent. Can be used to retrieve the corresponding intent information.
+ },
+ "interruptionData": { # The data for an interruption annotation. # Data specifying an interruption.
+ },
+ "phraseMatchData": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. # Data specifying a phrase match.
+ "displayName": "A String", # The human-readable name of the phrase matcher.
+ "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher.
+ },
+ "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment.
+ "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
+ "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive).
+ },
+ "silenceData": { # The data for a silence annotation. # Data specifying silence.
+ },
+ },
+ ],
+ "entities": { # All the entities in the call.
+ "a_key": { # The data for an entity annotation. Represents a phrase in the conversation that is a known entity, such as a person, an organization, or location.
+ "displayName": "A String", # The representative name for the entity.
+ "metadata": { # Metadata associated with the entity. For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`), if they are available. For the metadata associated with other entity types, see the Type table below.
+ "a_key": "A String",
+ },
+ "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range. The salience score for an entity provides information about the importance or centrality of that entity to the entire document text. Scores closer to 0 are less salient, while scores closer to 1.0 are highly salient.
+ "sentiment": { # The data for a sentiment annotation. # The aggregate sentiment expressed for this entity in the conversation.
+ "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
+ "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive).
+ },
+ "type": "A String", # The entity type.
+ },
+ },
+ "intents": { # All the matched intents in the call.
+ "a_key": { # The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE.
+ "displayName": "A String", # The human-readable name of the intent.
+ "id": "A String", # The unique identifier of the intent.
+ },
+ },
+ "issueModelResult": { # Issue Modeling result on a conversation. # Overall conversation-level issue modeling result.
+ "issueModel": "A String", # Issue model that generates the result.
+ "issues": [ # All the matched issues.
+ { # Information about the issue.
+ "issue": "A String", # Resource name of the assigned issue.
+ "score": 3.14, # Score indicating the likelihood of the issue assignment. currently bounded on [0,1].
+ },
+ ],
+ },
+ "phraseMatchers": { # All the matched phrase matchers in the call.
+ "a_key": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match.
+ "displayName": "A String", # The human-readable name of the phrase matcher.
+ "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher.
+ },
+ },
+ "sentiments": [ # Overall conversation-level sentiment for each channel of the call.
+ { # One channel of conversation-level sentiment data.
+ "channelTag": 42, # The channel of the audio that the data applies to.
+ "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment.
+ "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
+ "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive).
+ },
+ },
+ ],
+ },
+ "endTime": "A String", # The time at which the analysis ended.
+ },
+ "createTime": "A String", # Output only. The time at which the analysis was created, which occurs when the long-running operation completes.
+ "name": "A String", # Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}
+ "requestTime": "A String", # Output only. The time at which the analysis was requested.
+ },
+ ],
+ "nextPageToken": "A String", # A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.
+}</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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