// This file is @generated by prost-build.
/// The conversation resource.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Conversation {
    /// Immutable. The resource name of the conversation.
    /// Format:
    /// projects/{project}/locations/{location}/conversations/{conversation}
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
    /// The source of the audio and transcription for the conversation.
    #[prost(message, optional, tag = "2")]
    pub data_source: ::core::option::Option<ConversationDataSource>,
    /// Output only. The time at which the conversation was created.
    #[prost(message, optional, tag = "3")]
    pub create_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. The most recent time at which the conversation was updated.
    #[prost(message, optional, tag = "4")]
    pub update_time: ::core::option::Option<::prost_types::Timestamp>,
    /// The time at which the conversation started.
    #[prost(message, optional, tag = "17")]
    pub start_time: ::core::option::Option<::prost_types::Timestamp>,
    /// A user-specified language code for the conversation.
    #[prost(string, tag = "14")]
    pub language_code: ::prost::alloc::string::String,
    /// An opaque, user-specified string representing the human agent who handled
    /// the conversation.
    #[prost(string, tag = "5")]
    pub agent_id: ::prost::alloc::string::String,
    /// A map for the user to specify any custom fields. A maximum of 20 labels per
    /// conversation is allowed, with a maximum of 256 characters per entry.
    #[prost(btree_map = "string, string", tag = "6")]
    pub labels: ::prost::alloc::collections::BTreeMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    /// Conversation metadata related to quality management.
    #[prost(message, optional, tag = "24")]
    pub quality_metadata: ::core::option::Option<conversation::QualityMetadata>,
    /// Output only. The conversation transcript.
    #[prost(message, optional, tag = "8")]
    pub transcript: ::core::option::Option<conversation::Transcript>,
    /// Immutable. The conversation medium, if unspecified will default to
    /// PHONE_CALL.
    #[prost(enumeration = "conversation::Medium", tag = "9")]
    pub medium: i32,
    /// Output only. The duration of the conversation.
    #[prost(message, optional, tag = "10")]
    pub duration: ::core::option::Option<::prost_types::Duration>,
    /// Output only. The number of turns in the conversation.
    #[prost(int32, tag = "11")]
    pub turn_count: i32,
    /// Output only. The conversation's latest analysis, if one exists.
    #[prost(message, optional, tag = "12")]
    pub latest_analysis: ::core::option::Option<Analysis>,
    /// Output only. Latest summary of the conversation.
    #[prost(message, optional, tag = "20")]
    pub latest_summary: ::core::option::Option<ConversationSummarizationSuggestionData>,
    /// Output only. The annotations that were generated during the customer and
    /// agent interaction.
    #[prost(message, repeated, tag = "13")]
    pub runtime_annotations: ::prost::alloc::vec::Vec<RuntimeAnnotation>,
    /// Output only. All the matched Dialogflow intents in the call. The key
    /// corresponds to a Dialogflow intent, format:
    /// projects/{project}/agent/{agent}/intents/{intent}
    #[prost(btree_map = "string, message", tag = "18")]
    pub dialogflow_intents: ::prost::alloc::collections::BTreeMap<
        ::prost::alloc::string::String,
        DialogflowIntent,
    >,
    /// Obfuscated user ID which the customer sent to us.
    #[prost(string, tag = "21")]
    pub obfuscated_user_id: ::prost::alloc::string::String,
    /// Metadata that applies to the conversation.
    #[prost(oneof = "conversation::Metadata", tags = "7")]
    pub metadata: ::core::option::Option<conversation::Metadata>,
    /// A time to live expiration setting, can be either a specified timestamp or a
    /// duration from the time that the conversation creation request was received.
    /// Conversations with an expiration set will be removed up to 24 hours after
    /// the specified time.
    #[prost(oneof = "conversation::Expiration", tags = "15, 16")]
    pub expiration: ::core::option::Option<conversation::Expiration>,
}
/// Nested message and enum types in `Conversation`.
pub mod conversation {
    /// Call-specific metadata.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct CallMetadata {
        /// The audio channel that contains the customer.
        #[prost(int32, tag = "1")]
        pub customer_channel: i32,
        /// The audio channel that contains the agent.
        #[prost(int32, tag = "2")]
        pub agent_channel: i32,
    }
    /// Conversation metadata related to quality management.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct QualityMetadata {
        /// An arbitrary integer value indicating the customer's satisfaction rating.
        #[prost(int32, tag = "1")]
        pub customer_satisfaction_rating: i32,
        /// The amount of time the customer waited to connect with an agent.
        #[prost(message, optional, tag = "2")]
        pub wait_duration: ::core::option::Option<::prost_types::Duration>,
        /// An arbitrary string value specifying the menu path the customer took.
        #[prost(string, tag = "3")]
        pub menu_path: ::prost::alloc::string::String,
        /// Information about agents involved in the call.
        #[prost(message, repeated, tag = "4")]
        pub agent_info: ::prost::alloc::vec::Vec<quality_metadata::AgentInfo>,
    }
    /// Nested message and enum types in `QualityMetadata`.
    pub mod quality_metadata {
        /// Information about an agent involved in the conversation.
        #[allow(clippy::derive_partial_eq_without_eq)]
        #[derive(Clone, PartialEq, ::prost::Message)]
        pub struct AgentInfo {
            /// A user-specified string representing the agent.
            #[prost(string, tag = "1")]
            pub agent_id: ::prost::alloc::string::String,
            /// The agent's name.
            #[prost(string, tag = "2")]
            pub display_name: ::prost::alloc::string::String,
            /// A user-specified string representing the agent's team.
            #[prost(string, tag = "3")]
            pub team: ::prost::alloc::string::String,
            /// A user-provided string indicating the outcome of the agent's segment of
            /// the call.
            #[prost(string, tag = "4")]
            pub disposition_code: ::prost::alloc::string::String,
        }
    }
    /// A message representing the transcript of a conversation.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct Transcript {
        /// A list of sequential transcript segments that comprise the conversation.
        #[prost(message, repeated, tag = "1")]
        pub transcript_segments: ::prost::alloc::vec::Vec<transcript::TranscriptSegment>,
    }
    /// Nested message and enum types in `Transcript`.
    pub mod transcript {
        /// A segment of a full transcript.
        #[allow(clippy::derive_partial_eq_without_eq)]
        #[derive(Clone, PartialEq, ::prost::Message)]
        pub struct TranscriptSegment {
            /// The time that the message occurred, if provided.
            #[prost(message, optional, tag = "6")]
            pub message_time: ::core::option::Option<::prost_types::Timestamp>,
            /// The text of this segment.
            #[prost(string, tag = "1")]
            pub text: ::prost::alloc::string::String,
            /// A confidence estimate between 0.0 and 1.0 of the fidelity of this
            /// segment. A default value of 0.0 indicates that the value is unset.
            #[prost(float, tag = "2")]
            pub confidence: f32,
            /// A list of the word-specific information for each word in the segment.
            #[prost(message, repeated, tag = "3")]
            pub words: ::prost::alloc::vec::Vec<transcript_segment::WordInfo>,
            /// The language code of this segment as a
            /// [BCP-47](<https://www.rfc-editor.org/rfc/bcp/bcp47.txt>) language tag.
            /// Example: "en-US".
            #[prost(string, tag = "4")]
            pub language_code: ::prost::alloc::string::String,
            /// For conversations derived from multi-channel audio, this is the channel
            /// number corresponding to the audio from that channel. For
            /// audioChannelCount = N, its output values can range from '1' to 'N'. A
            /// channel tag of 0 indicates that the audio is mono.
            #[prost(int32, tag = "5")]
            pub channel_tag: i32,
            /// The participant of this segment.
            #[prost(message, optional, tag = "9")]
            pub segment_participant: ::core::option::Option<
                super::super::ConversationParticipant,
            >,
            /// CCAI metadata relating to the current transcript segment.
            #[prost(message, optional, tag = "10")]
            pub dialogflow_segment_metadata: ::core::option::Option<
                transcript_segment::DialogflowSegmentMetadata,
            >,
            /// The sentiment for this transcript segment.
            #[prost(message, optional, tag = "11")]
            pub sentiment: ::core::option::Option<super::super::SentimentData>,
        }
        /// Nested message and enum types in `TranscriptSegment`.
        pub mod transcript_segment {
            /// Word-level info for words in a transcript.
            #[allow(clippy::derive_partial_eq_without_eq)]
            #[derive(Clone, PartialEq, ::prost::Message)]
            pub struct WordInfo {
                /// Time offset of the start of this word relative to the beginning of
                /// the total conversation.
                #[prost(message, optional, tag = "1")]
                pub start_offset: ::core::option::Option<::prost_types::Duration>,
                /// Time offset of the end of this word relative to the beginning of the
                /// total conversation.
                #[prost(message, optional, tag = "2")]
                pub end_offset: ::core::option::Option<::prost_types::Duration>,
                /// The word itself. Includes punctuation marks that surround the word.
                #[prost(string, tag = "3")]
                pub word: ::prost::alloc::string::String,
                /// A confidence estimate between 0.0 and 1.0 of the fidelity of this
                /// word. A default value of 0.0 indicates that the value is unset.
                #[prost(float, tag = "4")]
                pub confidence: f32,
            }
            /// Metadata from Dialogflow relating to the current transcript segment.
            #[allow(clippy::derive_partial_eq_without_eq)]
            #[derive(Clone, PartialEq, ::prost::Message)]
            pub struct DialogflowSegmentMetadata {
                /// Whether the transcript segment was covered under the configured smart
                /// reply allowlist in Agent Assist.
                #[prost(bool, tag = "1")]
                pub smart_reply_allowlist_covered: bool,
            }
        }
    }
    /// Possible media for the conversation.
    #[derive(
        Clone,
        Copy,
        Debug,
        PartialEq,
        Eq,
        Hash,
        PartialOrd,
        Ord,
        ::prost::Enumeration
    )]
    #[repr(i32)]
    pub enum Medium {
        /// Default value, if unspecified will default to PHONE_CALL.
        Unspecified = 0,
        /// The format for conversations that took place over the phone.
        PhoneCall = 1,
        /// The format for conversations that took place over chat.
        Chat = 2,
    }
    impl Medium {
        /// String value of the enum field names used in the ProtoBuf definition.
        ///
        /// The values are not transformed in any way and thus are considered stable
        /// (if the ProtoBuf definition does not change) and safe for programmatic use.
        pub fn as_str_name(&self) -> &'static str {
            match self {
                Medium::Unspecified => "MEDIUM_UNSPECIFIED",
                Medium::PhoneCall => "PHONE_CALL",
                Medium::Chat => "CHAT",
            }
        }
        /// Creates an enum from field names used in the ProtoBuf definition.
        pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
            match value {
                "MEDIUM_UNSPECIFIED" => Some(Self::Unspecified),
                "PHONE_CALL" => Some(Self::PhoneCall),
                "CHAT" => Some(Self::Chat),
                _ => None,
            }
        }
    }
    /// Metadata that applies to the conversation.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum Metadata {
        /// Call-specific metadata.
        #[prost(message, tag = "7")]
        CallMetadata(CallMetadata),
    }
    /// A time to live expiration setting, can be either a specified timestamp or a
    /// duration from the time that the conversation creation request was received.
    /// Conversations with an expiration set will be removed up to 24 hours after
    /// the specified time.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum Expiration {
        /// The time at which this conversation should expire. After this time, the
        /// conversation data and any associated analyses will be deleted.
        #[prost(message, tag = "15")]
        ExpireTime(::prost_types::Timestamp),
        /// Input only. The TTL for this resource. If specified, then this TTL will
        /// be used to calculate the expire time.
        #[prost(message, tag = "16")]
        Ttl(::prost_types::Duration),
    }
}
/// The analysis resource.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Analysis {
    /// Immutable. The resource name of the analysis.
    /// Format:
    /// projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
    /// Output only. The time at which the analysis was requested.
    #[prost(message, optional, tag = "2")]
    pub request_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. The time at which the analysis was created, which occurs when
    /// the long-running operation completes.
    #[prost(message, optional, tag = "3")]
    pub create_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. The result of the analysis, which is populated when the
    /// analysis finishes.
    #[prost(message, optional, tag = "7")]
    pub analysis_result: ::core::option::Option<AnalysisResult>,
    /// To select the annotators to run and the phrase matchers to use
    /// (if any). If not specified, all annotators will be run.
    #[prost(message, optional, tag = "8")]
    pub annotator_selector: ::core::option::Option<AnnotatorSelector>,
}
/// The conversation source, which is a combination of transcript and audio.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ConversationDataSource {
    /// The source of the conversation.
    #[prost(oneof = "conversation_data_source::Source", tags = "1, 3")]
    pub source: ::core::option::Option<conversation_data_source::Source>,
}
/// Nested message and enum types in `ConversationDataSource`.
pub mod conversation_data_source {
    /// The source of the conversation.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum Source {
        /// A Cloud Storage location specification for the audio and transcript.
        #[prost(message, tag = "1")]
        GcsSource(super::GcsSource),
        /// The source when the conversation comes from Dialogflow.
        #[prost(message, tag = "3")]
        DialogflowSource(super::DialogflowSource),
    }
}
/// A Cloud Storage source of conversation data.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GcsSource {
    /// Cloud Storage URI that points to a file that contains the conversation
    /// audio.
    #[prost(string, tag = "1")]
    pub audio_uri: ::prost::alloc::string::String,
    /// Immutable. Cloud Storage URI that points to a file that contains the
    /// conversation transcript.
    #[prost(string, tag = "2")]
    pub transcript_uri: ::prost::alloc::string::String,
}
/// A Dialogflow source of conversation data.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DialogflowSource {
    /// Output only. The name of the Dialogflow conversation that this conversation
    /// resource is derived from. Format:
    /// projects/{project}/locations/{location}/conversations/{conversation}
    #[prost(string, tag = "1")]
    pub dialogflow_conversation: ::prost::alloc::string::String,
    /// Cloud Storage URI that points to a file that contains the conversation
    /// audio.
    #[prost(string, tag = "3")]
    pub audio_uri: ::prost::alloc::string::String,
}
/// The result of an analysis.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct AnalysisResult {
    /// The time at which the analysis ended.
    #[prost(message, optional, tag = "1")]
    pub end_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Metadata discovered during analysis.
    #[prost(oneof = "analysis_result::Metadata", tags = "2")]
    pub metadata: ::core::option::Option<analysis_result::Metadata>,
}
/// Nested message and enum types in `AnalysisResult`.
pub mod analysis_result {
    /// Call-specific metadata created during analysis.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct CallAnalysisMetadata {
        /// A list of call annotations that apply to this call.
        #[prost(message, repeated, tag = "2")]
        pub annotations: ::prost::alloc::vec::Vec<super::CallAnnotation>,
        /// All the entities in the call.
        #[prost(btree_map = "string, message", tag = "3")]
        pub entities: ::prost::alloc::collections::BTreeMap<
            ::prost::alloc::string::String,
            super::Entity,
        >,
        /// Overall conversation-level sentiment for each channel of the call.
        #[prost(message, repeated, tag = "4")]
        pub sentiments: ::prost::alloc::vec::Vec<super::ConversationLevelSentiment>,
        /// All the matched intents in the call.
        #[prost(btree_map = "string, message", tag = "6")]
        pub intents: ::prost::alloc::collections::BTreeMap<
            ::prost::alloc::string::String,
            super::Intent,
        >,
        /// All the matched phrase matchers in the call.
        #[prost(btree_map = "string, message", tag = "7")]
        pub phrase_matchers: ::prost::alloc::collections::BTreeMap<
            ::prost::alloc::string::String,
            super::PhraseMatchData,
        >,
        /// Overall conversation-level issue modeling result.
        #[prost(message, optional, tag = "8")]
        pub issue_model_result: ::core::option::Option<super::IssueModelResult>,
    }
    /// Metadata discovered during analysis.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum Metadata {
        /// Call-specific metadata created by the analysis.
        #[prost(message, tag = "2")]
        CallAnalysisMetadata(CallAnalysisMetadata),
    }
}
/// Issue Modeling result on a conversation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct IssueModelResult {
    /// Issue model that generates the result.
    /// Format: projects/{project}/locations/{location}/issueModels/{issue_model}
    #[prost(string, tag = "1")]
    pub issue_model: ::prost::alloc::string::String,
    /// All the matched issues.
    #[prost(message, repeated, tag = "2")]
    pub issues: ::prost::alloc::vec::Vec<IssueAssignment>,
}
/// One channel of conversation-level sentiment data.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ConversationLevelSentiment {
    /// The channel of the audio that the data applies to.
    #[prost(int32, tag = "1")]
    pub channel_tag: i32,
    /// Data specifying sentiment.
    #[prost(message, optional, tag = "2")]
    pub sentiment_data: ::core::option::Option<SentimentData>,
}
/// Information about the issue.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct IssueAssignment {
    /// Resource name of the assigned issue.
    #[prost(string, tag = "1")]
    pub issue: ::prost::alloc::string::String,
    /// Score indicating the likelihood of the issue assignment.
    /// currently bounded on \[0,1\].
    #[prost(double, tag = "2")]
    pub score: f64,
    /// Immutable. Display name of the assigned issue. This field is set at time of
    /// analyis and immutable since then.
    #[prost(string, tag = "3")]
    pub display_name: ::prost::alloc::string::String,
}
/// A piece of metadata that applies to a window of a call.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CallAnnotation {
    /// The channel of the audio where the annotation occurs. For single-channel
    /// audio, this field is not populated.
    #[prost(int32, tag = "1")]
    pub channel_tag: i32,
    /// The boundary in the conversation where the annotation starts, inclusive.
    #[prost(message, optional, tag = "4")]
    pub annotation_start_boundary: ::core::option::Option<AnnotationBoundary>,
    /// The boundary in the conversation where the annotation ends, inclusive.
    #[prost(message, optional, tag = "5")]
    pub annotation_end_boundary: ::core::option::Option<AnnotationBoundary>,
    /// The data in the annotation.
    #[prost(oneof = "call_annotation::Data", tags = "10, 11, 12, 13, 15, 16, 17, 18")]
    pub data: ::core::option::Option<call_annotation::Data>,
}
/// Nested message and enum types in `CallAnnotation`.
pub mod call_annotation {
    /// The data in the annotation.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum Data {
        /// Data specifying an interruption.
        #[prost(message, tag = "10")]
        InterruptionData(super::InterruptionData),
        /// Data specifying sentiment.
        #[prost(message, tag = "11")]
        SentimentData(super::SentimentData),
        /// Data specifying silence.
        #[prost(message, tag = "12")]
        SilenceData(super::SilenceData),
        /// Data specifying a hold.
        #[prost(message, tag = "13")]
        HoldData(super::HoldData),
        /// Data specifying an entity mention.
        #[prost(message, tag = "15")]
        EntityMentionData(super::EntityMentionData),
        /// Data specifying an intent match.
        #[prost(message, tag = "16")]
        IntentMatchData(super::IntentMatchData),
        /// Data specifying a phrase match.
        #[prost(message, tag = "17")]
        PhraseMatchData(super::PhraseMatchData),
        /// Data specifying an issue match.
        #[prost(message, tag = "18")]
        IssueMatchData(super::IssueMatchData),
    }
}
/// A point in a conversation that marks the start or the end of an annotation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct AnnotationBoundary {
    /// The index in the sequence of transcribed pieces of the conversation where
    /// the boundary is located. This index starts at zero.
    #[prost(int32, tag = "1")]
    pub transcript_index: i32,
    /// A detailed boundary, which describes a more specific point.
    #[prost(oneof = "annotation_boundary::DetailedBoundary", tags = "3")]
    pub detailed_boundary: ::core::option::Option<annotation_boundary::DetailedBoundary>,
}
/// Nested message and enum types in `AnnotationBoundary`.
pub mod annotation_boundary {
    /// A detailed boundary, which describes a more specific point.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum DetailedBoundary {
        /// The word index of this boundary with respect to the first word in the
        /// transcript piece. This index starts at zero.
        #[prost(int32, tag = "3")]
        WordIndex(i32),
    }
}
/// 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.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Entity {
    /// The representative name for the entity.
    #[prost(string, tag = "1")]
    pub display_name: ::prost::alloc::string::String,
    /// The entity type.
    #[prost(enumeration = "entity::Type", tag = "2")]
    pub r#type: i32,
    /// 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.
    #[prost(btree_map = "string, string", tag = "3")]
    pub metadata: ::prost::alloc::collections::BTreeMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    /// 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.
    #[prost(float, tag = "4")]
    pub salience: f32,
    /// The aggregate sentiment expressed for this entity in the conversation.
    #[prost(message, optional, tag = "5")]
    pub sentiment: ::core::option::Option<SentimentData>,
}
/// Nested message and enum types in `Entity`.
pub mod entity {
    /// The type of the entity. For most entity types, the associated metadata is a
    /// Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`). The table
    /// below lists the associated fields for entities that have different
    /// metadata.
    #[derive(
        Clone,
        Copy,
        Debug,
        PartialEq,
        Eq,
        Hash,
        PartialOrd,
        Ord,
        ::prost::Enumeration
    )]
    #[repr(i32)]
    pub enum Type {
        /// Unspecified.
        Unspecified = 0,
        /// Person.
        Person = 1,
        /// Location.
        Location = 2,
        /// Organization.
        Organization = 3,
        /// Event.
        Event = 4,
        /// Artwork.
        WorkOfArt = 5,
        /// Consumer product.
        ConsumerGood = 6,
        /// Other types of entities.
        Other = 7,
        /// Phone number.
        ///
        /// The metadata lists the phone number (formatted according to local
        /// convention), plus whichever additional elements appear in the text:
        ///
        /// * `number` - The actual number, broken down into sections according to
        /// local convention.
        /// * `national_prefix` - Country code, if detected.
        /// * `area_code` - Region or area code, if detected.
        /// * `extension` - Phone extension (to be dialed after connection), if
        /// detected.
        PhoneNumber = 9,
        /// Address.
        ///
        /// The metadata identifies the street number and locality plus whichever
        /// additional elements appear in the text:
        ///
        /// * `street_number` - Street number.
        /// * `locality` - City or town.
        /// * `street_name` - Street/route name, if detected.
        /// * `postal_code` - Postal code, if detected.
        /// * `country` - Country, if detected.
        /// * `broad_region` - Administrative area, such as the state, if detected.
        /// * `narrow_region` - Smaller administrative area, such as county, if
        /// detected.
        /// * `sublocality` - Used in Asian addresses to demark a district within a
        /// city, if detected.
        Address = 10,
        /// Date.
        ///
        /// The metadata identifies the components of the date:
        ///
        /// * `year` - Four digit year, if detected.
        /// * `month` - Two digit month number, if detected.
        /// * `day` - Two digit day number, if detected.
        Date = 11,
        /// Number.
        ///
        /// The metadata is the number itself.
        Number = 12,
        /// Price.
        ///
        /// The metadata identifies the `value` and `currency`.
        Price = 13,
    }
    impl Type {
        /// String value of the enum field names used in the ProtoBuf definition.
        ///
        /// The values are not transformed in any way and thus are considered stable
        /// (if the ProtoBuf definition does not change) and safe for programmatic use.
        pub fn as_str_name(&self) -> &'static str {
            match self {
                Type::Unspecified => "TYPE_UNSPECIFIED",
                Type::Person => "PERSON",
                Type::Location => "LOCATION",
                Type::Organization => "ORGANIZATION",
                Type::Event => "EVENT",
                Type::WorkOfArt => "WORK_OF_ART",
                Type::ConsumerGood => "CONSUMER_GOOD",
                Type::Other => "OTHER",
                Type::PhoneNumber => "PHONE_NUMBER",
                Type::Address => "ADDRESS",
                Type::Date => "DATE",
                Type::Number => "NUMBER",
                Type::Price => "PRICE",
            }
        }
        /// Creates an enum from field names used in the ProtoBuf definition.
        pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
            match value {
                "TYPE_UNSPECIFIED" => Some(Self::Unspecified),
                "PERSON" => Some(Self::Person),
                "LOCATION" => Some(Self::Location),
                "ORGANIZATION" => Some(Self::Organization),
                "EVENT" => Some(Self::Event),
                "WORK_OF_ART" => Some(Self::WorkOfArt),
                "CONSUMER_GOOD" => Some(Self::ConsumerGood),
                "OTHER" => Some(Self::Other),
                "PHONE_NUMBER" => Some(Self::PhoneNumber),
                "ADDRESS" => Some(Self::Address),
                "DATE" => Some(Self::Date),
                "NUMBER" => Some(Self::Number),
                "PRICE" => Some(Self::Price),
                _ => None,
            }
        }
    }
}
/// The data for an intent.
/// Represents a detected intent in the conversation, for example MAKES_PROMISE.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Intent {
    /// The unique identifier of the intent.
    #[prost(string, tag = "1")]
    pub id: ::prost::alloc::string::String,
    /// The human-readable name of the intent.
    #[prost(string, tag = "2")]
    pub display_name: ::prost::alloc::string::String,
}
/// The data for a matched phrase matcher.
/// Represents information identifying a phrase matcher for a given match.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct PhraseMatchData {
    /// The unique identifier (the resource name) of the phrase matcher.
    #[prost(string, tag = "1")]
    pub phrase_matcher: ::prost::alloc::string::String,
    /// The human-readable name of the phrase matcher.
    #[prost(string, tag = "2")]
    pub display_name: ::prost::alloc::string::String,
}
/// The data for a Dialogflow intent.
/// Represents a detected intent in the conversation, e.g. MAKES_PROMISE.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DialogflowIntent {
    /// The human-readable name of the intent.
    #[prost(string, tag = "1")]
    pub display_name: ::prost::alloc::string::String,
}
/// The data for an interruption annotation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct InterruptionData {}
/// The data for a silence annotation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct SilenceData {}
/// The data for a hold annotation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct HoldData {}
/// The data for an entity mention annotation.
/// This represents a mention of an `Entity` in the conversation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct EntityMentionData {
    /// The key of this entity in conversation entities.
    /// Can be used to retrieve the exact `Entity` this mention is attached to.
    #[prost(string, tag = "1")]
    pub entity_unique_id: ::prost::alloc::string::String,
    /// The type of the entity mention.
    #[prost(enumeration = "entity_mention_data::MentionType", tag = "2")]
    pub r#type: i32,
    /// Sentiment expressed for this mention of the entity.
    #[prost(message, optional, tag = "3")]
    pub sentiment: ::core::option::Option<SentimentData>,
}
/// Nested message and enum types in `EntityMentionData`.
pub mod entity_mention_data {
    /// The supported types of mentions.
    #[derive(
        Clone,
        Copy,
        Debug,
        PartialEq,
        Eq,
        Hash,
        PartialOrd,
        Ord,
        ::prost::Enumeration
    )]
    #[repr(i32)]
    pub enum MentionType {
        /// Unspecified.
        Unspecified = 0,
        /// Proper noun.
        Proper = 1,
        /// Common noun (or noun compound).
        Common = 2,
    }
    impl MentionType {
        /// String value of the enum field names used in the ProtoBuf definition.
        ///
        /// The values are not transformed in any way and thus are considered stable
        /// (if the ProtoBuf definition does not change) and safe for programmatic use.
        pub fn as_str_name(&self) -> &'static str {
            match self {
                MentionType::Unspecified => "MENTION_TYPE_UNSPECIFIED",
                MentionType::Proper => "PROPER",
                MentionType::Common => "COMMON",
            }
        }
        /// Creates an enum from field names used in the ProtoBuf definition.
        pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
            match value {
                "MENTION_TYPE_UNSPECIFIED" => Some(Self::Unspecified),
                "PROPER" => Some(Self::Proper),
                "COMMON" => Some(Self::Common),
                _ => None,
            }
        }
    }
}
/// 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.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct IntentMatchData {
    /// The id of the matched intent.
    /// Can be used to retrieve the corresponding intent information.
    #[prost(string, tag = "1")]
    pub intent_unique_id: ::prost::alloc::string::String,
}
/// The data for a sentiment annotation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct SentimentData {
    /// A non-negative number from 0 to infinity which represents the abolute
    /// magnitude of sentiment regardless of score.
    #[prost(float, tag = "1")]
    pub magnitude: f32,
    /// The sentiment score between -1.0 (negative) and 1.0 (positive).
    #[prost(float, tag = "2")]
    pub score: f32,
}
/// The data for an issue match annotation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct IssueMatchData {
    /// Information about the issue's assignment.
    #[prost(message, optional, tag = "1")]
    pub issue_assignment: ::core::option::Option<IssueAssignment>,
}
/// The issue model resource.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct IssueModel {
    /// Immutable. The resource name of the issue model.
    /// Format:
    /// projects/{project}/locations/{location}/issueModels/{issue_model}
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
    /// The representative name for the issue model.
    #[prost(string, tag = "2")]
    pub display_name: ::prost::alloc::string::String,
    /// Output only. The time at which this issue model was created.
    #[prost(message, optional, tag = "3")]
    pub create_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. The most recent time at which the issue model was updated.
    #[prost(message, optional, tag = "4")]
    pub update_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. Number of issues in this issue model.
    #[prost(int64, tag = "8")]
    pub issue_count: i64,
    /// Output only. State of the model.
    #[prost(enumeration = "issue_model::State", tag = "5")]
    pub state: i32,
    /// Configs for the input data that used to create the issue model.
    #[prost(message, optional, tag = "6")]
    pub input_data_config: ::core::option::Option<issue_model::InputDataConfig>,
    /// Output only. Immutable. The issue model's label statistics on its training
    /// data.
    #[prost(message, optional, tag = "7")]
    pub training_stats: ::core::option::Option<IssueModelLabelStats>,
    /// Type of the model.
    #[prost(enumeration = "issue_model::ModelType", tag = "9")]
    pub model_type: i32,
    /// Language of the model.
    #[prost(string, tag = "10")]
    pub language_code: ::prost::alloc::string::String,
}
/// Nested message and enum types in `IssueModel`.
pub mod issue_model {
    /// Configs for the input data used to create the issue model.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct InputDataConfig {
        /// Medium of conversations used in training data. This field is being
        /// deprecated. To specify the medium to be used in training a new issue
        /// model, set the `medium` field on `filter`.
        #[deprecated]
        #[prost(enumeration = "super::conversation::Medium", tag = "1")]
        pub medium: i32,
        /// Output only. Number of conversations used in training. Output only.
        #[prost(int64, tag = "2")]
        pub training_conversations_count: i64,
        /// A filter to reduce the conversations used for training the model to a
        /// specific subset.
        #[prost(string, tag = "3")]
        pub filter: ::prost::alloc::string::String,
    }
    /// State of the model.
    #[derive(
        Clone,
        Copy,
        Debug,
        PartialEq,
        Eq,
        Hash,
        PartialOrd,
        Ord,
        ::prost::Enumeration
    )]
    #[repr(i32)]
    pub enum State {
        /// Unspecified.
        Unspecified = 0,
        /// Model is not deployed but is ready to deploy.
        Undeployed = 1,
        /// Model is being deployed.
        Deploying = 2,
        /// Model is deployed and is ready to be used. A model can only be used in
        /// analysis if it's in this state.
        Deployed = 3,
        /// Model is being undeployed.
        Undeploying = 4,
        /// Model is being deleted.
        Deleting = 5,
    }
    impl State {
        /// String value of the enum field names used in the ProtoBuf definition.
        ///
        /// The values are not transformed in any way and thus are considered stable
        /// (if the ProtoBuf definition does not change) and safe for programmatic use.
        pub fn as_str_name(&self) -> &'static str {
            match self {
                State::Unspecified => "STATE_UNSPECIFIED",
                State::Undeployed => "UNDEPLOYED",
                State::Deploying => "DEPLOYING",
                State::Deployed => "DEPLOYED",
                State::Undeploying => "UNDEPLOYING",
                State::Deleting => "DELETING",
            }
        }
        /// Creates an enum from field names used in the ProtoBuf definition.
        pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
            match value {
                "STATE_UNSPECIFIED" => Some(Self::Unspecified),
                "UNDEPLOYED" => Some(Self::Undeployed),
                "DEPLOYING" => Some(Self::Deploying),
                "DEPLOYED" => Some(Self::Deployed),
                "UNDEPLOYING" => Some(Self::Undeploying),
                "DELETING" => Some(Self::Deleting),
                _ => None,
            }
        }
    }
    /// Type of the model.
    #[derive(
        Clone,
        Copy,
        Debug,
        PartialEq,
        Eq,
        Hash,
        PartialOrd,
        Ord,
        ::prost::Enumeration
    )]
    #[repr(i32)]
    pub enum ModelType {
        /// Unspecified model type.
        Unspecified = 0,
        /// Type V1.
        TypeV1 = 1,
        /// Type V2.
        TypeV2 = 2,
    }
    impl ModelType {
        /// String value of the enum field names used in the ProtoBuf definition.
        ///
        /// The values are not transformed in any way and thus are considered stable
        /// (if the ProtoBuf definition does not change) and safe for programmatic use.
        pub fn as_str_name(&self) -> &'static str {
            match self {
                ModelType::Unspecified => "MODEL_TYPE_UNSPECIFIED",
                ModelType::TypeV1 => "TYPE_V1",
                ModelType::TypeV2 => "TYPE_V2",
            }
        }
        /// Creates an enum from field names used in the ProtoBuf definition.
        pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
            match value {
                "MODEL_TYPE_UNSPECIFIED" => Some(Self::Unspecified),
                "TYPE_V1" => Some(Self::TypeV1),
                "TYPE_V2" => Some(Self::TypeV2),
                _ => None,
            }
        }
    }
}
/// The issue resource.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Issue {
    /// Immutable. The resource name of the issue.
    /// Format:
    /// projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
    /// The representative name for the issue.
    #[prost(string, tag = "2")]
    pub display_name: ::prost::alloc::string::String,
    /// Output only. The time at which this issue was created.
    #[prost(message, optional, tag = "3")]
    pub create_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. The most recent time that this issue was updated.
    #[prost(message, optional, tag = "4")]
    pub update_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. Resource names of the sample representative utterances that
    /// match to this issue.
    #[prost(string, repeated, tag = "6")]
    pub sample_utterances: ::prost::alloc::vec::Vec<::prost::alloc::string::String>,
}
/// Aggregated statistics about an issue model.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct IssueModelLabelStats {
    /// Number of conversations the issue model has analyzed at this point in time.
    #[prost(int64, tag = "1")]
    pub analyzed_conversations_count: i64,
    /// Number of analyzed conversations for which no issue was applicable at this
    /// point in time.
    #[prost(int64, tag = "2")]
    pub unclassified_conversations_count: i64,
    /// Statistics on each issue. Key is the issue's resource name.
    #[prost(btree_map = "string, message", tag = "3")]
    pub issue_stats: ::prost::alloc::collections::BTreeMap<
        ::prost::alloc::string::String,
        issue_model_label_stats::IssueStats,
    >,
}
/// Nested message and enum types in `IssueModelLabelStats`.
pub mod issue_model_label_stats {
    /// Aggregated statistics about an issue.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct IssueStats {
        /// Issue resource.
        /// Format:
        /// projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}
        #[prost(string, tag = "1")]
        pub issue: ::prost::alloc::string::String,
        /// Number of conversations attached to the issue at this point in time.
        #[prost(int64, tag = "2")]
        pub labeled_conversations_count: i64,
        /// Display name of the issue.
        #[prost(string, tag = "3")]
        pub display_name: ::prost::alloc::string::String,
    }
}
/// The phrase matcher resource.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct PhraseMatcher {
    /// The resource name of the phrase matcher.
    /// Format:
    /// projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
    /// Output only. Immutable. The revision ID of the phrase matcher.
    /// A new revision is committed whenever the matcher is changed, except when it
    /// is activated or deactivated. A server generated random ID will be used.
    /// Example: locations/global/phraseMatchers/my-first-matcher@1234567
    #[prost(string, tag = "2")]
    pub revision_id: ::prost::alloc::string::String,
    /// The customized version tag to use for the phrase matcher. If not specified,
    /// it will default to `revision_id`.
    #[prost(string, tag = "3")]
    pub version_tag: ::prost::alloc::string::String,
    /// Output only. The timestamp of when the revision was created. It is also the
    /// create time when a new matcher is added.
    #[prost(message, optional, tag = "4")]
    pub revision_create_time: ::core::option::Option<::prost_types::Timestamp>,
    /// The human-readable name of the phrase matcher.
    #[prost(string, tag = "5")]
    pub display_name: ::prost::alloc::string::String,
    /// Required. The type of this phrase matcher.
    #[prost(enumeration = "phrase_matcher::PhraseMatcherType", tag = "6")]
    pub r#type: i32,
    /// Applies the phrase matcher only when it is active.
    #[prost(bool, tag = "7")]
    pub active: bool,
    /// A list of phase match rule groups that are included in this matcher.
    #[prost(message, repeated, tag = "8")]
    pub phrase_match_rule_groups: ::prost::alloc::vec::Vec<PhraseMatchRuleGroup>,
    /// Output only. The most recent time at which the activation status was
    /// updated.
    #[prost(message, optional, tag = "9")]
    pub activation_update_time: ::core::option::Option<::prost_types::Timestamp>,
    /// The role whose utterances the phrase matcher should be matched
    /// against. If the role is ROLE_UNSPECIFIED it will be matched against any
    /// utterances in the transcript.
    #[prost(enumeration = "conversation_participant::Role", tag = "10")]
    pub role_match: i32,
    /// Output only. The most recent time at which the phrase matcher was updated.
    #[prost(message, optional, tag = "11")]
    pub update_time: ::core::option::Option<::prost_types::Timestamp>,
}
/// Nested message and enum types in `PhraseMatcher`.
pub mod phrase_matcher {
    /// Specifies how to combine each phrase match rule group to determine whether
    /// there is a match.
    #[derive(
        Clone,
        Copy,
        Debug,
        PartialEq,
        Eq,
        Hash,
        PartialOrd,
        Ord,
        ::prost::Enumeration
    )]
    #[repr(i32)]
    pub enum PhraseMatcherType {
        /// Unspecified.
        Unspecified = 0,
        /// Must meet all phrase match rule groups or there is no match.
        AllOf = 1,
        /// If any of the phrase match rule groups are met, there is a match.
        AnyOf = 2,
    }
    impl PhraseMatcherType {
        /// String value of the enum field names used in the ProtoBuf definition.
        ///
        /// The values are not transformed in any way and thus are considered stable
        /// (if the ProtoBuf definition does not change) and safe for programmatic use.
        pub fn as_str_name(&self) -> &'static str {
            match self {
                PhraseMatcherType::Unspecified => "PHRASE_MATCHER_TYPE_UNSPECIFIED",
                PhraseMatcherType::AllOf => "ALL_OF",
                PhraseMatcherType::AnyOf => "ANY_OF",
            }
        }
        /// Creates an enum from field names used in the ProtoBuf definition.
        pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
            match value {
                "PHRASE_MATCHER_TYPE_UNSPECIFIED" => Some(Self::Unspecified),
                "ALL_OF" => Some(Self::AllOf),
                "ANY_OF" => Some(Self::AnyOf),
                _ => None,
            }
        }
    }
}
/// A message representing a rule in the phrase matcher.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct PhraseMatchRuleGroup {
    /// Required. The type of this phrase match rule group.
    #[prost(
        enumeration = "phrase_match_rule_group::PhraseMatchRuleGroupType",
        tag = "1"
    )]
    pub r#type: i32,
    /// A list of phrase match rules that are included in this group.
    #[prost(message, repeated, tag = "2")]
    pub phrase_match_rules: ::prost::alloc::vec::Vec<PhraseMatchRule>,
}
/// Nested message and enum types in `PhraseMatchRuleGroup`.
pub mod phrase_match_rule_group {
    /// Specifies how to combine each phrase match rule for whether there is a
    /// match.
    #[derive(
        Clone,
        Copy,
        Debug,
        PartialEq,
        Eq,
        Hash,
        PartialOrd,
        Ord,
        ::prost::Enumeration
    )]
    #[repr(i32)]
    pub enum PhraseMatchRuleGroupType {
        /// Unspecified.
        Unspecified = 0,
        /// Must meet all phrase match rules or there is no match.
        AllOf = 1,
        /// If any of the phrase match rules are met, there is a match.
        AnyOf = 2,
    }
    impl PhraseMatchRuleGroupType {
        /// String value of the enum field names used in the ProtoBuf definition.
        ///
        /// The values are not transformed in any way and thus are considered stable
        /// (if the ProtoBuf definition does not change) and safe for programmatic use.
        pub fn as_str_name(&self) -> &'static str {
            match self {
                PhraseMatchRuleGroupType::Unspecified => {
                    "PHRASE_MATCH_RULE_GROUP_TYPE_UNSPECIFIED"
                }
                PhraseMatchRuleGroupType::AllOf => "ALL_OF",
                PhraseMatchRuleGroupType::AnyOf => "ANY_OF",
            }
        }
        /// Creates an enum from field names used in the ProtoBuf definition.
        pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
            match value {
                "PHRASE_MATCH_RULE_GROUP_TYPE_UNSPECIFIED" => Some(Self::Unspecified),
                "ALL_OF" => Some(Self::AllOf),
                "ANY_OF" => Some(Self::AnyOf),
                _ => None,
            }
        }
    }
}
/// The data for a phrase match rule.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct PhraseMatchRule {
    /// Required. The phrase to be matched.
    #[prost(string, tag = "1")]
    pub query: ::prost::alloc::string::String,
    /// Specifies whether the phrase must be missing from the transcript segment or
    /// present in the transcript segment.
    #[prost(bool, tag = "2")]
    pub negated: bool,
    /// Provides additional information about the rule that specifies how to apply
    /// the rule.
    #[prost(message, optional, tag = "3")]
    pub config: ::core::option::Option<PhraseMatchRuleConfig>,
}
/// Configuration information of a phrase match rule.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct PhraseMatchRuleConfig {
    /// The configuration of the phrase match rule.
    #[prost(oneof = "phrase_match_rule_config::Config", tags = "1")]
    pub config: ::core::option::Option<phrase_match_rule_config::Config>,
}
/// Nested message and enum types in `PhraseMatchRuleConfig`.
pub mod phrase_match_rule_config {
    /// The configuration of the phrase match rule.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum Config {
        /// The configuration for the exact match rule.
        #[prost(message, tag = "1")]
        ExactMatchConfig(super::ExactMatchConfig),
    }
}
/// Exact match configuration.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ExactMatchConfig {
    /// Whether to consider case sensitivity when performing an exact match.
    #[prost(bool, tag = "1")]
    pub case_sensitive: bool,
}
/// The settings resource.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Settings {
    /// Immutable. The resource name of the settings resource.
    /// Format:
    /// projects/{project}/locations/{location}/settings
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
    /// Output only. The time at which the settings was created.
    #[prost(message, optional, tag = "2")]
    pub create_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. The time at which the settings were last updated.
    #[prost(message, optional, tag = "3")]
    pub update_time: ::core::option::Option<::prost_types::Timestamp>,
    /// A language code to be applied to each transcript segment unless the segment
    /// already specifies a language code. Language code defaults to "en-US" if it
    /// is neither specified on the segment nor here.
    #[prost(string, tag = "4")]
    pub language_code: ::prost::alloc::string::String,
    /// The default TTL for newly-created conversations. If a conversation has a
    /// specified expiration, that value will be used instead. Changing this
    /// value will not change the expiration of existing conversations.
    /// Conversations with no expire time persist until they are deleted.
    #[prost(message, optional, tag = "5")]
    pub conversation_ttl: ::core::option::Option<::prost_types::Duration>,
    /// A map that maps a notification trigger to a Pub/Sub topic. Each time a
    /// specified trigger occurs, Insights will notify the corresponding Pub/Sub
    /// topic.
    ///
    /// Keys are notification triggers. Supported keys are:
    ///
    /// * "all-triggers": Notify each time any of the supported triggers occurs.
    /// * "create-analysis": Notify each time an analysis is created.
    /// * "create-conversation": Notify each time a conversation is created.
    /// * "export-insights-data": Notify each time an export is complete.
    /// * "update-conversation": Notify each time a conversation is updated via
    /// UpdateConversation.
    ///
    /// Values are Pub/Sub topics. The format of each Pub/Sub topic is:
    /// projects/{project}/topics/{topic}
    #[prost(btree_map = "string, string", tag = "6")]
    pub pubsub_notification_settings: ::prost::alloc::collections::BTreeMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    /// Default analysis settings.
    #[prost(message, optional, tag = "7")]
    pub analysis_config: ::core::option::Option<settings::AnalysisConfig>,
    /// Default DLP redaction resources to be applied while ingesting
    /// conversations.
    #[prost(message, optional, tag = "10")]
    pub redaction_config: ::core::option::Option<RedactionConfig>,
    /// Optional. Default Speech-to-Text resources to be used while ingesting audio
    /// files. Optional, CCAI Insights will create a default if not provided.
    #[prost(message, optional, tag = "11")]
    pub speech_config: ::core::option::Option<SpeechConfig>,
}
/// Nested message and enum types in `Settings`.
pub mod settings {
    /// Default configuration when creating Analyses in Insights.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct AnalysisConfig {
        /// Percentage of conversations created using Dialogflow runtime integration
        /// to analyze automatically, between \[0, 100\].
        #[prost(double, tag = "1")]
        pub runtime_integration_analysis_percentage: f64,
        /// Percentage of conversations created using the UploadConversation endpoint
        /// to analyze automatically, between \[0, 100\].
        #[prost(double, tag = "6")]
        pub upload_conversation_analysis_percentage: f64,
        /// To select the annotators to run and the phrase matchers to use
        /// (if any). If not specified, all annotators will be run.
        #[prost(message, optional, tag = "5")]
        pub annotator_selector: ::core::option::Option<super::AnnotatorSelector>,
    }
}
/// DLP resources used for redaction while ingesting conversations.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct RedactionConfig {
    /// The fully-qualified DLP deidentify template resource name.
    /// Format:
    /// `projects/{project}/deidentifyTemplates/{template}`
    #[prost(string, tag = "1")]
    pub deidentify_template: ::prost::alloc::string::String,
    /// The fully-qualified DLP inspect template resource name.
    /// Format:
    /// `projects/{project}/locations/{location}/inspectTemplates/{template}`
    #[prost(string, tag = "2")]
    pub inspect_template: ::prost::alloc::string::String,
}
/// Speech-to-Text configuration.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct SpeechConfig {
    /// The fully-qualified Speech Recognizer resource name.
    /// Format:
    /// `projects/{project_id}/locations/{location}/recognizer/{recognizer}`
    #[prost(string, tag = "1")]
    pub speech_recognizer: ::prost::alloc::string::String,
}
/// An annotation that was generated during the customer and agent interaction.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct RuntimeAnnotation {
    /// The unique identifier of the annotation.
    /// Format:
    /// projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}
    #[prost(string, tag = "1")]
    pub annotation_id: ::prost::alloc::string::String,
    /// The time at which this annotation was created.
    #[prost(message, optional, tag = "2")]
    pub create_time: ::core::option::Option<::prost_types::Timestamp>,
    /// The boundary in the conversation where the annotation starts, inclusive.
    #[prost(message, optional, tag = "3")]
    pub start_boundary: ::core::option::Option<AnnotationBoundary>,
    /// The boundary in the conversation where the annotation ends, inclusive.
    #[prost(message, optional, tag = "4")]
    pub end_boundary: ::core::option::Option<AnnotationBoundary>,
    /// The feedback that the customer has about the answer in `data`.
    #[prost(message, optional, tag = "5")]
    pub answer_feedback: ::core::option::Option<AnswerFeedback>,
    /// The data in the annotation.
    #[prost(oneof = "runtime_annotation::Data", tags = "6, 7, 8, 9, 10, 12")]
    pub data: ::core::option::Option<runtime_annotation::Data>,
}
/// Nested message and enum types in `RuntimeAnnotation`.
pub mod runtime_annotation {
    /// The data in the annotation.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum Data {
        /// Agent Assist Article Suggestion data.
        #[prost(message, tag = "6")]
        ArticleSuggestion(super::ArticleSuggestionData),
        /// Agent Assist FAQ answer data.
        #[prost(message, tag = "7")]
        FaqAnswer(super::FaqAnswerData),
        /// Agent Assist Smart Reply data.
        #[prost(message, tag = "8")]
        SmartReply(super::SmartReplyData),
        /// Agent Assist Smart Compose suggestion data.
        #[prost(message, tag = "9")]
        SmartComposeSuggestion(super::SmartComposeSuggestionData),
        /// Dialogflow interaction data.
        #[prost(message, tag = "10")]
        DialogflowInteraction(super::DialogflowInteractionData),
        /// Conversation summarization suggestion data.
        #[prost(message, tag = "12")]
        ConversationSummarizationSuggestion(
            super::ConversationSummarizationSuggestionData,
        ),
    }
}
/// The feedback that the customer has about a certain answer in the
/// conversation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct AnswerFeedback {
    /// The correctness level of an answer.
    #[prost(enumeration = "answer_feedback::CorrectnessLevel", tag = "1")]
    pub correctness_level: i32,
    /// Indicates whether an answer or item was clicked by the human agent.
    #[prost(bool, tag = "2")]
    pub clicked: bool,
    /// Indicates whether an answer or item was displayed to the human agent in the
    /// agent desktop UI.
    #[prost(bool, tag = "3")]
    pub displayed: bool,
}
/// Nested message and enum types in `AnswerFeedback`.
pub mod answer_feedback {
    /// The correctness level of an answer.
    #[derive(
        Clone,
        Copy,
        Debug,
        PartialEq,
        Eq,
        Hash,
        PartialOrd,
        Ord,
        ::prost::Enumeration
    )]
    #[repr(i32)]
    pub enum CorrectnessLevel {
        /// Correctness level unspecified.
        Unspecified = 0,
        /// Answer is totally wrong.
        NotCorrect = 1,
        /// Answer is partially correct.
        PartiallyCorrect = 2,
        /// Answer is fully correct.
        FullyCorrect = 3,
    }
    impl CorrectnessLevel {
        /// String value of the enum field names used in the ProtoBuf definition.
        ///
        /// The values are not transformed in any way and thus are considered stable
        /// (if the ProtoBuf definition does not change) and safe for programmatic use.
        pub fn as_str_name(&self) -> &'static str {
            match self {
                CorrectnessLevel::Unspecified => "CORRECTNESS_LEVEL_UNSPECIFIED",
                CorrectnessLevel::NotCorrect => "NOT_CORRECT",
                CorrectnessLevel::PartiallyCorrect => "PARTIALLY_CORRECT",
                CorrectnessLevel::FullyCorrect => "FULLY_CORRECT",
            }
        }
        /// Creates an enum from field names used in the ProtoBuf definition.
        pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
            match value {
                "CORRECTNESS_LEVEL_UNSPECIFIED" => Some(Self::Unspecified),
                "NOT_CORRECT" => Some(Self::NotCorrect),
                "PARTIALLY_CORRECT" => Some(Self::PartiallyCorrect),
                "FULLY_CORRECT" => Some(Self::FullyCorrect),
                _ => None,
            }
        }
    }
}
/// Agent Assist Article Suggestion data.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ArticleSuggestionData {
    /// Article title.
    #[prost(string, tag = "1")]
    pub title: ::prost::alloc::string::String,
    /// Article URI.
    #[prost(string, tag = "2")]
    pub uri: ::prost::alloc::string::String,
    /// The system's confidence score that this article is a good match for this
    /// conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely
    /// certain).
    #[prost(float, tag = "3")]
    pub confidence_score: f32,
    /// Map that contains metadata about the Article Suggestion and the document
    /// that it originates from.
    #[prost(btree_map = "string, string", tag = "4")]
    pub metadata: ::prost::alloc::collections::BTreeMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    /// The name of the answer record.
    /// Format:
    /// projects/{project}/locations/{location}/answerRecords/{answer_record}
    #[prost(string, tag = "5")]
    pub query_record: ::prost::alloc::string::String,
    /// The knowledge document that this answer was extracted from.
    /// Format:
    /// projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}
    #[prost(string, tag = "6")]
    pub source: ::prost::alloc::string::String,
}
/// Agent Assist frequently-asked-question answer data.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct FaqAnswerData {
    /// The piece of text from the `source` knowledge base document.
    #[prost(string, tag = "1")]
    pub answer: ::prost::alloc::string::String,
    /// The system's confidence score that this answer is a good match for this
    /// conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely
    /// certain).
    #[prost(float, tag = "2")]
    pub confidence_score: f32,
    /// The corresponding FAQ question.
    #[prost(string, tag = "3")]
    pub question: ::prost::alloc::string::String,
    /// Map that contains metadata about the FAQ answer and the document that
    /// it originates from.
    #[prost(btree_map = "string, string", tag = "4")]
    pub metadata: ::prost::alloc::collections::BTreeMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    /// The name of the answer record.
    /// Format:
    /// projects/{project}/locations/{location}/answerRecords/{answer_record}
    #[prost(string, tag = "5")]
    pub query_record: ::prost::alloc::string::String,
    /// The knowledge document that this answer was extracted from.
    /// Format:
    /// projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}.
    #[prost(string, tag = "6")]
    pub source: ::prost::alloc::string::String,
}
/// Agent Assist Smart Reply data.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct SmartReplyData {
    /// The content of the reply.
    #[prost(string, tag = "1")]
    pub reply: ::prost::alloc::string::String,
    /// The system's confidence score that this reply is a good match for this
    /// conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely
    /// certain).
    #[prost(double, tag = "2")]
    pub confidence_score: f64,
    /// Map that contains metadata about the Smart Reply and the document from
    /// which it originates.
    #[prost(btree_map = "string, string", tag = "3")]
    pub metadata: ::prost::alloc::collections::BTreeMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    /// The name of the answer record.
    /// Format:
    /// projects/{project}/locations/{location}/answerRecords/{answer_record}
    #[prost(string, tag = "4")]
    pub query_record: ::prost::alloc::string::String,
}
/// Agent Assist Smart Compose suggestion data.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct SmartComposeSuggestionData {
    /// The content of the suggestion.
    #[prost(string, tag = "1")]
    pub suggestion: ::prost::alloc::string::String,
    /// The system's confidence score that this suggestion is a good match for this
    /// conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely
    /// certain).
    #[prost(double, tag = "2")]
    pub confidence_score: f64,
    /// Map that contains metadata about the Smart Compose suggestion and the
    /// document from which it originates.
    #[prost(btree_map = "string, string", tag = "3")]
    pub metadata: ::prost::alloc::collections::BTreeMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    /// The name of the answer record.
    /// Format:
    /// projects/{project}/locations/{location}/answerRecords/{answer_record}
    #[prost(string, tag = "4")]
    pub query_record: ::prost::alloc::string::String,
}
/// Dialogflow interaction data.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DialogflowInteractionData {
    /// The Dialogflow intent resource path. Format:
    /// projects/{project}/agent/{agent}/intents/{intent}
    #[prost(string, tag = "1")]
    pub dialogflow_intent_id: ::prost::alloc::string::String,
    /// The confidence of the match ranging from 0.0 (completely uncertain) to 1.0
    /// (completely certain).
    #[prost(float, tag = "2")]
    pub confidence: f32,
}
/// Conversation summarization suggestion data.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ConversationSummarizationSuggestionData {
    /// The summarization content that is concatenated into one string.
    #[prost(string, tag = "1")]
    pub text: ::prost::alloc::string::String,
    /// The summarization content that is divided into sections. The key is the
    /// section's name and the value is the section's content. There is no
    /// specific format for the key or value.
    #[prost(btree_map = "string, string", tag = "5")]
    pub text_sections: ::prost::alloc::collections::BTreeMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    /// The confidence score of the summarization.
    #[prost(float, tag = "2")]
    pub confidence: f32,
    /// A map that contains metadata about the summarization and the document
    /// from which it originates.
    #[prost(btree_map = "string, string", tag = "3")]
    pub metadata: ::prost::alloc::collections::BTreeMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    /// The name of the answer record.
    /// Format:
    /// projects/{project}/locations/{location}/answerRecords/{answer_record}
    #[prost(string, tag = "4")]
    pub answer_record: ::prost::alloc::string::String,
    /// The name of the model that generates this summary.
    /// Format:
    /// projects/{project}/locations/{location}/conversationModels/{conversation_model}
    #[prost(string, tag = "6")]
    pub conversation_model: ::prost::alloc::string::String,
}
/// The call participant speaking for a given utterance.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ConversationParticipant {
    /// Deprecated. Use `dialogflow_participant_name` instead.
    /// The name of the Dialogflow participant. Format:
    /// projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}
    #[deprecated]
    #[prost(string, tag = "1")]
    pub dialogflow_participant: ::prost::alloc::string::String,
    /// Obfuscated user ID from Dialogflow.
    #[prost(string, tag = "3")]
    pub obfuscated_external_user_id: ::prost::alloc::string::String,
    /// The role of the participant.
    #[prost(enumeration = "conversation_participant::Role", tag = "2")]
    pub role: i32,
    #[prost(oneof = "conversation_participant::Participant", tags = "5, 6")]
    pub participant: ::core::option::Option<conversation_participant::Participant>,
}
/// Nested message and enum types in `ConversationParticipant`.
pub mod conversation_participant {
    /// The role of the participant.
    #[derive(
        Clone,
        Copy,
        Debug,
        PartialEq,
        Eq,
        Hash,
        PartialOrd,
        Ord,
        ::prost::Enumeration
    )]
    #[repr(i32)]
    pub enum Role {
        /// Participant's role is not set.
        Unspecified = 0,
        /// Participant is a human agent.
        HumanAgent = 1,
        /// Participant is an automated agent.
        AutomatedAgent = 2,
        /// Participant is an end user who conversed with the contact center.
        EndUser = 3,
        /// Participant is either a human or automated agent.
        AnyAgent = 4,
    }
    impl Role {
        /// String value of the enum field names used in the ProtoBuf definition.
        ///
        /// The values are not transformed in any way and thus are considered stable
        /// (if the ProtoBuf definition does not change) and safe for programmatic use.
        pub fn as_str_name(&self) -> &'static str {
            match self {
                Role::Unspecified => "ROLE_UNSPECIFIED",
                Role::HumanAgent => "HUMAN_AGENT",
                Role::AutomatedAgent => "AUTOMATED_AGENT",
                Role::EndUser => "END_USER",
                Role::AnyAgent => "ANY_AGENT",
            }
        }
        /// Creates an enum from field names used in the ProtoBuf definition.
        pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
            match value {
                "ROLE_UNSPECIFIED" => Some(Self::Unspecified),
                "HUMAN_AGENT" => Some(Self::HumanAgent),
                "AUTOMATED_AGENT" => Some(Self::AutomatedAgent),
                "END_USER" => Some(Self::EndUser),
                "ANY_AGENT" => Some(Self::AnyAgent),
                _ => None,
            }
        }
    }
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum Participant {
        /// The name of the participant provided by Dialogflow. Format:
        /// projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}
        #[prost(string, tag = "5")]
        DialogflowParticipantName(::prost::alloc::string::String),
        /// A user-specified ID representing the participant.
        #[prost(string, tag = "6")]
        UserId(::prost::alloc::string::String),
    }
}
/// The View resource.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct View {
    /// Immutable. The resource name of the view.
    /// Format:
    /// projects/{project}/locations/{location}/views/{view}
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
    /// The human-readable display name of the view.
    #[prost(string, tag = "2")]
    pub display_name: ::prost::alloc::string::String,
    /// Output only. The time at which this view was created.
    #[prost(message, optional, tag = "3")]
    pub create_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. The most recent time at which the view was updated.
    #[prost(message, optional, tag = "4")]
    pub update_time: ::core::option::Option<::prost_types::Timestamp>,
    /// String with specific view properties, must be non-empty.
    #[prost(string, tag = "5")]
    pub value: ::prost::alloc::string::String,
}
/// Selector of all available annotators and phrase matchers to run.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct AnnotatorSelector {
    /// Whether to run the interruption annotator.
    #[prost(bool, tag = "1")]
    pub run_interruption_annotator: bool,
    /// Whether to run the silence annotator.
    #[prost(bool, tag = "2")]
    pub run_silence_annotator: bool,
    /// Whether to run the active phrase matcher annotator(s).
    #[prost(bool, tag = "3")]
    pub run_phrase_matcher_annotator: bool,
    /// The list of phrase matchers to run. If not provided, all active phrase
    /// matchers will be used. If inactive phrase matchers are provided, they will
    /// not be used. Phrase matchers will be run only if
    /// run_phrase_matcher_annotator is set to true. Format:
    /// projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
    #[prost(string, repeated, tag = "4")]
    pub phrase_matchers: ::prost::alloc::vec::Vec<::prost::alloc::string::String>,
    /// Whether to run the sentiment annotator.
    #[prost(bool, tag = "5")]
    pub run_sentiment_annotator: bool,
    /// Whether to run the entity annotator.
    #[prost(bool, tag = "6")]
    pub run_entity_annotator: bool,
    /// Whether to run the intent annotator.
    #[prost(bool, tag = "7")]
    pub run_intent_annotator: bool,
    /// Whether to run the issue model annotator. A model should have already been
    /// deployed for this to take effect.
    #[prost(bool, tag = "8")]
    pub run_issue_model_annotator: bool,
    /// The issue model to run. If not provided, the most recently deployed topic
    /// model will be used. The provided issue model will only be used for
    /// inference if the issue model is deployed and if run_issue_model_annotator
    /// is set to true. If more than one issue model is provided, only the first
    /// provided issue model will be used for inference.
    #[prost(string, repeated, tag = "10")]
    pub issue_models: ::prost::alloc::vec::Vec<::prost::alloc::string::String>,
    /// Whether to run the summarization annotator.
    #[prost(bool, tag = "9")]
    pub run_summarization_annotator: bool,
    /// Configuration for the summarization annotator.
    #[prost(message, optional, tag = "11")]
    pub summarization_config: ::core::option::Option<
        annotator_selector::SummarizationConfig,
    >,
}
/// Nested message and enum types in `AnnotatorSelector`.
pub mod annotator_selector {
    /// Configuration for summarization.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct SummarizationConfig {
        /// Summarization must use either a preexisting conversation profile or one
        /// of the supported default models.
        #[prost(oneof = "summarization_config::ModelSource", tags = "1, 2")]
        pub model_source: ::core::option::Option<summarization_config::ModelSource>,
    }
    /// Nested message and enum types in `SummarizationConfig`.
    pub mod summarization_config {
        /// Summarization model to use, if `conversation_profile` is not used.
        #[derive(
            Clone,
            Copy,
            Debug,
            PartialEq,
            Eq,
            Hash,
            PartialOrd,
            Ord,
            ::prost::Enumeration
        )]
        #[repr(i32)]
        pub enum SummarizationModel {
            /// Unspecified summarization model.
            Unspecified = 0,
            /// The CCAI baseline model.
            BaselineModel = 1,
        }
        impl SummarizationModel {
            /// String value of the enum field names used in the ProtoBuf definition.
            ///
            /// The values are not transformed in any way and thus are considered stable
            /// (if the ProtoBuf definition does not change) and safe for programmatic use.
            pub fn as_str_name(&self) -> &'static str {
                match self {
                    SummarizationModel::Unspecified => "SUMMARIZATION_MODEL_UNSPECIFIED",
                    SummarizationModel::BaselineModel => "BASELINE_MODEL",
                }
            }
            /// Creates an enum from field names used in the ProtoBuf definition.
            pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
                match value {
                    "SUMMARIZATION_MODEL_UNSPECIFIED" => Some(Self::Unspecified),
                    "BASELINE_MODEL" => Some(Self::BaselineModel),
                    _ => None,
                }
            }
        }
        /// Summarization must use either a preexisting conversation profile or one
        /// of the supported default models.
        #[allow(clippy::derive_partial_eq_without_eq)]
        #[derive(Clone, PartialEq, ::prost::Oneof)]
        pub enum ModelSource {
            /// Resource name of the Dialogflow conversation profile.
            /// Format:
            /// projects/{project}/locations/{location}/conversationProfiles/{conversation_profile}
            #[prost(string, tag = "1")]
            ConversationProfile(::prost::alloc::string::String),
            /// Default summarization model to be used.
            #[prost(enumeration = "SummarizationModel", tag = "2")]
            SummarizationModel(i32),
        }
    }
}
/// The request for calculating conversation statistics.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CalculateStatsRequest {
    /// Required. The location of the conversations.
    #[prost(string, tag = "1")]
    pub location: ::prost::alloc::string::String,
    /// A filter to reduce results to a specific subset. This field is useful for
    /// getting statistics about conversations with specific properties.
    #[prost(string, tag = "2")]
    pub filter: ::prost::alloc::string::String,
}
/// The response for calculating conversation statistics.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CalculateStatsResponse {
    /// The average duration of all conversations. The average is calculated using
    /// only conversations that have a time duration.
    #[prost(message, optional, tag = "1")]
    pub average_duration: ::core::option::Option<::prost_types::Duration>,
    /// The average number of turns per conversation.
    #[prost(int32, tag = "2")]
    pub average_turn_count: i32,
    /// The total number of conversations.
    #[prost(int32, tag = "3")]
    pub conversation_count: i32,
    /// A map associating each smart highlighter display name with its respective
    /// number of matches in the set of conversations.
    #[prost(btree_map = "string, int32", tag = "4")]
    pub smart_highlighter_matches: ::prost::alloc::collections::BTreeMap<
        ::prost::alloc::string::String,
        i32,
    >,
    /// A map associating each custom highlighter resource name with its respective
    /// number of matches in the set of conversations.
    #[prost(btree_map = "string, int32", tag = "5")]
    pub custom_highlighter_matches: ::prost::alloc::collections::BTreeMap<
        ::prost::alloc::string::String,
        i32,
    >,
    /// A map associating each issue resource name with its respective number of
    /// matches in the set of conversations. Key has the format:
    /// `projects/<Project-ID>/locations/<Location-ID>/issueModels/<Issue-Model-ID>/issues/<Issue-ID>`
    /// Deprecated, use `issue_matches_stats` field instead.
    #[prost(btree_map = "string, int32", tag = "6")]
    pub issue_matches: ::prost::alloc::collections::BTreeMap<
        ::prost::alloc::string::String,
        i32,
    >,
    /// A map associating each issue resource name with its respective number of
    /// matches in the set of conversations. Key has the format:
    /// `projects/<Project-ID>/locations/<Location-ID>/issueModels/<Issue-Model-ID>/issues/<Issue-ID>`
    #[prost(btree_map = "string, message", tag = "8")]
    pub issue_matches_stats: ::prost::alloc::collections::BTreeMap<
        ::prost::alloc::string::String,
        issue_model_label_stats::IssueStats,
    >,
    /// A time series representing the count of conversations created over time
    /// that match that requested filter criteria.
    #[prost(message, optional, tag = "7")]
    pub conversation_count_time_series: ::core::option::Option<
        calculate_stats_response::TimeSeries,
    >,
}
/// Nested message and enum types in `CalculateStatsResponse`.
pub mod calculate_stats_response {
    /// A time series representing conversations over time.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct TimeSeries {
        /// The duration of each interval.
        #[prost(message, optional, tag = "1")]
        pub interval_duration: ::core::option::Option<::prost_types::Duration>,
        /// An ordered list of intervals from earliest to latest, where each interval
        /// represents the number of conversations that transpired during the time
        /// window.
        #[prost(message, repeated, tag = "2")]
        pub points: ::prost::alloc::vec::Vec<time_series::Interval>,
    }
    /// Nested message and enum types in `TimeSeries`.
    pub mod time_series {
        /// A single interval in a time series.
        #[allow(clippy::derive_partial_eq_without_eq)]
        #[derive(Clone, PartialEq, ::prost::Message)]
        pub struct Interval {
            /// The start time of this interval.
            #[prost(message, optional, tag = "1")]
            pub start_time: ::core::option::Option<::prost_types::Timestamp>,
            /// The number of conversations created in this interval.
            #[prost(int32, tag = "2")]
            pub conversation_count: i32,
        }
    }
}
/// Metadata for a create analysis operation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CreateAnalysisOperationMetadata {
    /// Output only. The time the operation was created.
    #[prost(message, optional, tag = "1")]
    pub create_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. The time the operation finished running.
    #[prost(message, optional, tag = "2")]
    pub end_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. The Conversation that this Analysis Operation belongs to.
    #[prost(string, tag = "3")]
    pub conversation: ::prost::alloc::string::String,
    /// Output only. The annotator selector used for the analysis (if any).
    #[prost(message, optional, tag = "4")]
    pub annotator_selector: ::core::option::Option<AnnotatorSelector>,
}
/// Request to create a conversation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CreateConversationRequest {
    /// Required. The parent resource of the conversation.
    #[prost(string, tag = "1")]
    pub parent: ::prost::alloc::string::String,
    /// Required. The conversation resource to create.
    #[prost(message, optional, tag = "2")]
    pub conversation: ::core::option::Option<Conversation>,
    /// A unique ID for the new conversation. This ID will become the final
    /// component of the conversation's resource name. If no ID is specified, a
    /// server-generated ID will be used.
    ///
    /// This value should be 4-64 characters and must match the regular
    /// expression `^\[a-z0-9-\]{4,64}$`. Valid characters are `[a-z][0-9]-`
    #[prost(string, tag = "3")]
    pub conversation_id: ::prost::alloc::string::String,
}
/// Request to upload a conversation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct UploadConversationRequest {
    /// Required. The parent resource of the conversation.
    #[prost(string, tag = "1")]
    pub parent: ::prost::alloc::string::String,
    /// Required. The conversation resource to create.
    #[prost(message, optional, tag = "2")]
    pub conversation: ::core::option::Option<Conversation>,
    /// Optional. A unique ID for the new conversation. This ID will become the
    /// final component of the conversation's resource name. If no ID is specified,
    /// a server-generated ID will be used.
    ///
    /// This value should be 4-64 characters and must match the regular
    /// expression `^\[a-z0-9-\]{4,64}$`. Valid characters are `[a-z][0-9]-`
    #[prost(string, tag = "3")]
    pub conversation_id: ::prost::alloc::string::String,
    /// Optional. DLP settings for transcript redaction. Will default to the config
    /// specified in Settings.
    #[prost(message, optional, tag = "4")]
    pub redaction_config: ::core::option::Option<RedactionConfig>,
    /// Optional. Speech-to-Text configuration. Will default to the config
    /// specified in Settings.
    #[prost(message, optional, tag = "11")]
    pub speech_config: ::core::option::Option<SpeechConfig>,
}
/// The metadata for an UploadConversation operation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct UploadConversationMetadata {
    /// Output only. The time the operation was created.
    #[prost(message, optional, tag = "1")]
    pub create_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. The time the operation finished running.
    #[prost(message, optional, tag = "2")]
    pub end_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. The original request.
    #[prost(message, optional, tag = "3")]
    pub request: ::core::option::Option<UploadConversationRequest>,
    /// Output only. The operation name for a successfully created analysis
    /// operation, if any.
    #[prost(string, tag = "4")]
    pub analysis_operation: ::prost::alloc::string::String,
    /// Output only. The redaction config applied to the uploaded conversation.
    #[prost(message, optional, tag = "5")]
    pub applied_redaction_config: ::core::option::Option<RedactionConfig>,
}
/// Request to list conversations.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListConversationsRequest {
    /// Required. The parent resource of the conversation.
    #[prost(string, tag = "1")]
    pub parent: ::prost::alloc::string::String,
    /// The maximum number of conversations to return in the response. A valid page
    /// size ranges from 0 to 1,000 inclusive. If the page size is zero or
    /// unspecified, a default page size of 100 will be chosen. Note that a call
    /// might return fewer results than the requested page size.
    #[prost(int32, tag = "2")]
    pub page_size: i32,
    /// The value returned by the last `ListConversationsResponse`. This value
    /// indicates that this is a continuation of a prior `ListConversations` call
    /// and that the system should return the next page of data.
    #[prost(string, tag = "3")]
    pub page_token: ::prost::alloc::string::String,
    /// A filter to reduce results to a specific subset. Useful for querying
    /// conversations with specific properties.
    #[prost(string, tag = "4")]
    pub filter: ::prost::alloc::string::String,
    /// The level of details of the conversation. Default is `BASIC`.
    #[prost(enumeration = "ConversationView", tag = "5")]
    pub view: i32,
}
/// The response of listing conversations.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListConversationsResponse {
    /// The conversations that match the request.
    #[prost(message, repeated, tag = "1")]
    pub conversations: ::prost::alloc::vec::Vec<Conversation>,
    /// A token which can be sent as `page_token` to retrieve the next page. If
    /// this field is set, it means there is another page available. If it is not
    /// set, it means no other pages are available.
    #[prost(string, tag = "2")]
    pub next_page_token: ::prost::alloc::string::String,
}
/// The request to get a conversation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetConversationRequest {
    /// Required. The name of the conversation to get.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
    /// The level of details of the conversation. Default is `FULL`.
    #[prost(enumeration = "ConversationView", tag = "2")]
    pub view: i32,
}
/// The request to update a conversation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct UpdateConversationRequest {
    /// Required. The new values for the conversation.
    #[prost(message, optional, tag = "1")]
    pub conversation: ::core::option::Option<Conversation>,
    /// The list of fields to be updated.
    #[prost(message, optional, tag = "2")]
    pub update_mask: ::core::option::Option<::prost_types::FieldMask>,
}
/// The request to delete a conversation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DeleteConversationRequest {
    /// Required. The name of the conversation to delete.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
    /// If set to true, all of this conversation's analyses will also be deleted.
    /// Otherwise, the request will only succeed if the conversation has no
    /// analyses.
    #[prost(bool, tag = "2")]
    pub force: bool,
}
/// The request to ingest conversations.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct IngestConversationsRequest {
    /// Required. The parent resource for new conversations.
    #[prost(string, tag = "1")]
    pub parent: ::prost::alloc::string::String,
    /// Configuration that applies to all conversations.
    #[prost(message, optional, tag = "4")]
    pub conversation_config: ::core::option::Option<
        ingest_conversations_request::ConversationConfig,
    >,
    /// Optional. DLP settings for transcript redaction. Optional, will default to
    /// the config specified in Settings.
    #[prost(message, optional, tag = "5")]
    pub redaction_config: ::core::option::Option<RedactionConfig>,
    /// Optional. Default Speech-to-Text configuration. Optional, will default to
    /// the config specified in Settings.
    #[prost(message, optional, tag = "6")]
    pub speech_config: ::core::option::Option<SpeechConfig>,
    /// Configuration for an external data store containing objects that will
    /// be converted to conversations.
    #[prost(oneof = "ingest_conversations_request::Source", tags = "2")]
    pub source: ::core::option::Option<ingest_conversations_request::Source>,
    /// Configuration for converting individual `source` objects to conversations.
    #[prost(oneof = "ingest_conversations_request::ObjectConfig", tags = "3")]
    pub object_config: ::core::option::Option<
        ingest_conversations_request::ObjectConfig,
    >,
}
/// Nested message and enum types in `IngestConversationsRequest`.
pub mod ingest_conversations_request {
    /// Configuration for Cloud Storage bucket sources.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct GcsSource {
        /// Required. The Cloud Storage bucket containing source objects.
        #[prost(string, tag = "1")]
        pub bucket_uri: ::prost::alloc::string::String,
        /// Optional. Specifies the type of the objects in `bucket_uri`.
        #[prost(enumeration = "gcs_source::BucketObjectType", tag = "2")]
        pub bucket_object_type: i32,
    }
    /// Nested message and enum types in `GcsSource`.
    pub mod gcs_source {
        #[derive(
            Clone,
            Copy,
            Debug,
            PartialEq,
            Eq,
            Hash,
            PartialOrd,
            Ord,
            ::prost::Enumeration
        )]
        #[repr(i32)]
        pub enum BucketObjectType {
            /// The object type is unspecified and will default to `TRANSCRIPT`.
            Unspecified = 0,
            /// The object is a transcript.
            Transcript = 1,
            /// The object is an audio file.
            Audio = 2,
        }
        impl BucketObjectType {
            /// String value of the enum field names used in the ProtoBuf definition.
            ///
            /// The values are not transformed in any way and thus are considered stable
            /// (if the ProtoBuf definition does not change) and safe for programmatic use.
            pub fn as_str_name(&self) -> &'static str {
                match self {
                    BucketObjectType::Unspecified => "BUCKET_OBJECT_TYPE_UNSPECIFIED",
                    BucketObjectType::Transcript => "TRANSCRIPT",
                    BucketObjectType::Audio => "AUDIO",
                }
            }
            /// Creates an enum from field names used in the ProtoBuf definition.
            pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
                match value {
                    "BUCKET_OBJECT_TYPE_UNSPECIFIED" => Some(Self::Unspecified),
                    "TRANSCRIPT" => Some(Self::Transcript),
                    "AUDIO" => Some(Self::Audio),
                    _ => None,
                }
            }
        }
    }
    /// Configuration for processing transcript objects.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct TranscriptObjectConfig {
        /// Required. The medium transcript objects represent.
        #[prost(enumeration = "super::conversation::Medium", tag = "1")]
        pub medium: i32,
    }
    /// Configuration that applies to all conversations.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct ConversationConfig {
        /// An opaque, user-specified string representing the human agent who handled
        /// the conversations.
        #[prost(string, tag = "1")]
        pub agent_id: ::prost::alloc::string::String,
        /// Optional. Indicates which of the channels, 1 or 2, contains the agent.
        /// Note that this must be set for conversations to be properly displayed and
        /// analyzed.
        #[prost(int32, tag = "2")]
        pub agent_channel: i32,
        /// Optional. Indicates which of the channels, 1 or 2, contains the agent.
        /// Note that this must be set for conversations to be properly displayed and
        /// analyzed.
        #[prost(int32, tag = "3")]
        pub customer_channel: i32,
    }
    /// Configuration for an external data store containing objects that will
    /// be converted to conversations.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum Source {
        /// A cloud storage bucket source. Note that any previously ingested objects
        /// from the source will be skipped to avoid duplication.
        #[prost(message, tag = "2")]
        GcsSource(GcsSource),
    }
    /// Configuration for converting individual `source` objects to conversations.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum ObjectConfig {
        /// Configuration for when `source` contains conversation transcripts.
        #[prost(message, tag = "3")]
        TranscriptObjectConfig(TranscriptObjectConfig),
    }
}
/// The metadata for an IngestConversations operation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct IngestConversationsMetadata {
    /// Output only. The time the operation was created.
    #[prost(message, optional, tag = "1")]
    pub create_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. The time the operation finished running.
    #[prost(message, optional, tag = "2")]
    pub end_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. The original request for ingest.
    #[prost(message, optional, tag = "3")]
    pub request: ::core::option::Option<IngestConversationsRequest>,
    /// Output only. Partial errors during ingest operation that might cause the
    /// operation output to be incomplete.
    #[prost(message, repeated, tag = "4")]
    pub partial_errors: ::prost::alloc::vec::Vec<super::super::super::rpc::Status>,
    /// Output only. Statistics for IngestConversations operation.
    #[prost(message, optional, tag = "5")]
    pub ingest_conversations_stats: ::core::option::Option<
        ingest_conversations_metadata::IngestConversationsStats,
    >,
}
/// Nested message and enum types in `IngestConversationsMetadata`.
pub mod ingest_conversations_metadata {
    /// Statistics for IngestConversations operation.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct IngestConversationsStats {
        /// Output only. The number of objects processed during the ingest operation.
        #[prost(int32, tag = "1")]
        pub processed_object_count: i32,
        /// Output only. The number of objects skipped because another conversation
        /// with the same transcript uri had already been ingested.
        #[prost(int32, tag = "2")]
        pub duplicates_skipped_count: i32,
        /// Output only. The number of new conversations added during this ingest
        /// operation.
        #[prost(int32, tag = "3")]
        pub successful_ingest_count: i32,
        /// Output only. The number of objects which were unable to be ingested due
        /// to errors. The errors are populated in the partial_errors field.
        #[prost(int32, tag = "4")]
        pub failed_ingest_count: i32,
    }
}
/// The response to an IngestConversations operation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct IngestConversationsResponse {}
/// The request to create an analysis.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CreateAnalysisRequest {
    /// Required. The parent resource of the analysis.
    #[prost(string, tag = "1")]
    pub parent: ::prost::alloc::string::String,
    /// Required. The analysis to create.
    #[prost(message, optional, tag = "2")]
    pub analysis: ::core::option::Option<Analysis>,
}
/// The request to list analyses.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListAnalysesRequest {
    /// Required. The parent resource of the analyses.
    #[prost(string, tag = "1")]
    pub parent: ::prost::alloc::string::String,
    /// 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.
    #[prost(int32, tag = "2")]
    pub page_size: i32,
    /// 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.
    #[prost(string, tag = "3")]
    pub page_token: ::prost::alloc::string::String,
    /// A filter to reduce results to a specific subset. Useful for querying
    /// conversations with specific properties.
    #[prost(string, tag = "4")]
    pub filter: ::prost::alloc::string::String,
}
/// The response to list analyses.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListAnalysesResponse {
    /// The analyses that match the request.
    #[prost(message, repeated, tag = "1")]
    pub analyses: ::prost::alloc::vec::Vec<Analysis>,
    /// A token, which can be sent as `page_token` to retrieve the next page.
    /// If this field is omitted, there are no subsequent pages.
    #[prost(string, tag = "2")]
    pub next_page_token: ::prost::alloc::string::String,
}
/// The request to get an analysis.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetAnalysisRequest {
    /// Required. The name of the analysis to get.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
}
/// The request to delete an analysis.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DeleteAnalysisRequest {
    /// Required. The name of the analysis to delete.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
}
/// The request to analyze conversations in bulk.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct BulkAnalyzeConversationsRequest {
    /// Required. The parent resource to create analyses in.
    #[prost(string, tag = "1")]
    pub parent: ::prost::alloc::string::String,
    /// Required. Filter used to select the subset of conversations to analyze.
    #[prost(string, tag = "2")]
    pub filter: ::prost::alloc::string::String,
    /// Required. Percentage of selected conversation to analyze, between
    /// \[0, 100\].
    #[prost(float, tag = "3")]
    pub analysis_percentage: f32,
    /// To select the annotators to run and the phrase matchers to use
    /// (if any). If not specified, all annotators will be run.
    #[prost(message, optional, tag = "8")]
    pub annotator_selector: ::core::option::Option<AnnotatorSelector>,
}
/// The metadata for a bulk analyze conversations operation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct BulkAnalyzeConversationsMetadata {
    /// The time the operation was created.
    #[prost(message, optional, tag = "1")]
    pub create_time: ::core::option::Option<::prost_types::Timestamp>,
    /// The time the operation finished running.
    #[prost(message, optional, tag = "2")]
    pub end_time: ::core::option::Option<::prost_types::Timestamp>,
    /// The original request for bulk analyze.
    #[prost(message, optional, tag = "3")]
    pub request: ::core::option::Option<BulkAnalyzeConversationsRequest>,
    /// The number of requested analyses that have completed successfully so far.
    #[prost(int32, tag = "4")]
    pub completed_analyses_count: i32,
    /// The number of requested analyses that have failed so far.
    #[prost(int32, tag = "5")]
    pub failed_analyses_count: i32,
    /// Total number of analyses requested. Computed by the number of conversations
    /// returned by `filter` multiplied by `analysis_percentage` in the request.
    #[prost(int32, tag = "6")]
    pub total_requested_analyses_count: i32,
    /// Output only. Partial errors during bulk analyze operation that might cause
    /// the operation output to be incomplete.
    #[prost(message, repeated, tag = "7")]
    pub partial_errors: ::prost::alloc::vec::Vec<super::super::super::rpc::Status>,
}
/// The response for a bulk analyze conversations operation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct BulkAnalyzeConversationsResponse {
    /// Count of successful analyses.
    #[prost(int32, tag = "1")]
    pub successful_analysis_count: i32,
    /// Count of failed analyses.
    #[prost(int32, tag = "2")]
    pub failed_analysis_count: i32,
}
/// The request to delete conversations in bulk.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct BulkDeleteConversationsRequest {
    /// Required. The parent resource to delete conversations from.
    /// Format:
    /// projects/{project}/locations/{location}
    #[prost(string, tag = "1")]
    pub parent: ::prost::alloc::string::String,
    /// Filter used to select the subset of conversations to delete.
    #[prost(string, tag = "2")]
    pub filter: ::prost::alloc::string::String,
    /// Maximum number of conversations to delete.
    #[prost(int32, tag = "3")]
    pub max_delete_count: i32,
    /// If set to true, all of this conversation's analyses will also be deleted.
    /// Otherwise, the request will only succeed if the conversation has no
    /// analyses.
    #[prost(bool, tag = "4")]
    pub force: bool,
}
/// The metadata for a bulk delete conversations operation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct BulkDeleteConversationsMetadata {
    /// The time the operation was created.
    #[prost(message, optional, tag = "1")]
    pub create_time: ::core::option::Option<::prost_types::Timestamp>,
    /// The time the operation finished running.
    #[prost(message, optional, tag = "2")]
    pub end_time: ::core::option::Option<::prost_types::Timestamp>,
    /// The original request for bulk delete.
    #[prost(message, optional, tag = "3")]
    pub request: ::core::option::Option<BulkDeleteConversationsRequest>,
    /// Partial errors during bulk delete conversations operation that might cause
    /// the operation output to be incomplete.
    #[prost(message, repeated, tag = "4")]
    pub partial_errors: ::prost::alloc::vec::Vec<super::super::super::rpc::Status>,
}
/// The response for a bulk delete conversations operation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct BulkDeleteConversationsResponse {}
/// The request to export insights.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ExportInsightsDataRequest {
    /// Required. The parent resource to export data from.
    #[prost(string, tag = "1")]
    pub parent: ::prost::alloc::string::String,
    /// A filter to reduce results to a specific subset. Useful for exporting
    /// conversations with specific properties.
    #[prost(string, tag = "3")]
    pub filter: ::prost::alloc::string::String,
    /// A fully qualified KMS key name for BigQuery tables protected by CMEK.
    /// Format:
    /// projects/{project}/locations/{location}/keyRings/{keyring}/cryptoKeys/{key}/cryptoKeyVersions/{version}
    #[prost(string, tag = "4")]
    pub kms_key: ::prost::alloc::string::String,
    /// Options for what to do if the destination table already exists.
    #[prost(enumeration = "export_insights_data_request::WriteDisposition", tag = "5")]
    pub write_disposition: i32,
    /// Exporter destination.
    #[prost(oneof = "export_insights_data_request::Destination", tags = "2")]
    pub destination: ::core::option::Option<export_insights_data_request::Destination>,
}
/// Nested message and enum types in `ExportInsightsDataRequest`.
pub mod export_insights_data_request {
    /// A BigQuery Table Reference.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct BigQueryDestination {
        /// A project ID or number. If specified, then export will attempt to
        /// write data to this project instead of the resource project. Otherwise,
        /// the resource project will be used.
        #[prost(string, tag = "3")]
        pub project_id: ::prost::alloc::string::String,
        /// Required. The name of the BigQuery dataset that the snapshot result
        /// should be exported to. If this dataset does not exist, the export call
        /// returns an INVALID_ARGUMENT error.
        #[prost(string, tag = "1")]
        pub dataset: ::prost::alloc::string::String,
        /// The BigQuery table name to which the insights data should be written.
        /// If this table does not exist, the export call returns an INVALID_ARGUMENT
        /// error.
        #[prost(string, tag = "2")]
        pub table: ::prost::alloc::string::String,
    }
    /// Specifies the action that occurs if the destination table already exists.
    #[derive(
        Clone,
        Copy,
        Debug,
        PartialEq,
        Eq,
        Hash,
        PartialOrd,
        Ord,
        ::prost::Enumeration
    )]
    #[repr(i32)]
    pub enum WriteDisposition {
        /// Write disposition is not specified. Defaults to WRITE_TRUNCATE.
        Unspecified = 0,
        /// If the table already exists, BigQuery will overwrite the table data and
        /// use the schema from the load.
        WriteTruncate = 1,
        /// If the table already exists, BigQuery will append data to the table.
        WriteAppend = 2,
    }
    impl WriteDisposition {
        /// String value of the enum field names used in the ProtoBuf definition.
        ///
        /// The values are not transformed in any way and thus are considered stable
        /// (if the ProtoBuf definition does not change) and safe for programmatic use.
        pub fn as_str_name(&self) -> &'static str {
            match self {
                WriteDisposition::Unspecified => "WRITE_DISPOSITION_UNSPECIFIED",
                WriteDisposition::WriteTruncate => "WRITE_TRUNCATE",
                WriteDisposition::WriteAppend => "WRITE_APPEND",
            }
        }
        /// Creates an enum from field names used in the ProtoBuf definition.
        pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
            match value {
                "WRITE_DISPOSITION_UNSPECIFIED" => Some(Self::Unspecified),
                "WRITE_TRUNCATE" => Some(Self::WriteTruncate),
                "WRITE_APPEND" => Some(Self::WriteAppend),
                _ => None,
            }
        }
    }
    /// Exporter destination.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum Destination {
        /// Specified if sink is a BigQuery table.
        #[prost(message, tag = "2")]
        BigQueryDestination(BigQueryDestination),
    }
}
/// Metadata for an export insights operation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ExportInsightsDataMetadata {
    /// Output only. The time the operation was created.
    #[prost(message, optional, tag = "1")]
    pub create_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. The time the operation finished running.
    #[prost(message, optional, tag = "2")]
    pub end_time: ::core::option::Option<::prost_types::Timestamp>,
    /// The original request for export.
    #[prost(message, optional, tag = "3")]
    pub request: ::core::option::Option<ExportInsightsDataRequest>,
    /// Partial errors during export operation that might cause the operation
    /// output to be incomplete.
    #[prost(message, repeated, tag = "4")]
    pub partial_errors: ::prost::alloc::vec::Vec<super::super::super::rpc::Status>,
}
/// Response for an export insights operation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ExportInsightsDataResponse {}
/// The request to create an issue model.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CreateIssueModelRequest {
    /// Required. The parent resource of the issue model.
    #[prost(string, tag = "1")]
    pub parent: ::prost::alloc::string::String,
    /// Required. The issue model to create.
    #[prost(message, optional, tag = "2")]
    pub issue_model: ::core::option::Option<IssueModel>,
}
/// Metadata for creating an issue model.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CreateIssueModelMetadata {
    /// Output only. The time the operation was created.
    #[prost(message, optional, tag = "1")]
    pub create_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. The time the operation finished running.
    #[prost(message, optional, tag = "2")]
    pub end_time: ::core::option::Option<::prost_types::Timestamp>,
    /// The original request for creation.
    #[prost(message, optional, tag = "3")]
    pub request: ::core::option::Option<CreateIssueModelRequest>,
}
/// The request to update an issue model.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct UpdateIssueModelRequest {
    /// Required. The new values for the issue model.
    #[prost(message, optional, tag = "1")]
    pub issue_model: ::core::option::Option<IssueModel>,
    /// The list of fields to be updated.
    #[prost(message, optional, tag = "2")]
    pub update_mask: ::core::option::Option<::prost_types::FieldMask>,
}
/// Request to list issue models.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListIssueModelsRequest {
    /// Required. The parent resource of the issue model.
    #[prost(string, tag = "1")]
    pub parent: ::prost::alloc::string::String,
}
/// The response of listing issue models.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListIssueModelsResponse {
    /// The issue models that match the request.
    #[prost(message, repeated, tag = "1")]
    pub issue_models: ::prost::alloc::vec::Vec<IssueModel>,
}
/// The request to get an issue model.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetIssueModelRequest {
    /// Required. The name of the issue model to get.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
}
/// The request to delete an issue model.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DeleteIssueModelRequest {
    /// Required. The name of the issue model to delete.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
}
/// Metadata for deleting an issue model.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DeleteIssueModelMetadata {
    /// Output only. The time the operation was created.
    #[prost(message, optional, tag = "1")]
    pub create_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. The time the operation finished running.
    #[prost(message, optional, tag = "2")]
    pub end_time: ::core::option::Option<::prost_types::Timestamp>,
    /// The original request for deletion.
    #[prost(message, optional, tag = "3")]
    pub request: ::core::option::Option<DeleteIssueModelRequest>,
}
/// The request to deploy an issue model.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DeployIssueModelRequest {
    /// Required. The issue model to deploy.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
}
/// The response to deploy an issue model.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DeployIssueModelResponse {}
/// Metadata for deploying an issue model.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DeployIssueModelMetadata {
    /// Output only. The time the operation was created.
    #[prost(message, optional, tag = "1")]
    pub create_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. The time the operation finished running.
    #[prost(message, optional, tag = "2")]
    pub end_time: ::core::option::Option<::prost_types::Timestamp>,
    /// The original request for deployment.
    #[prost(message, optional, tag = "3")]
    pub request: ::core::option::Option<DeployIssueModelRequest>,
}
/// The request to undeploy an issue model.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct UndeployIssueModelRequest {
    /// Required. The issue model to undeploy.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
}
/// The response to undeploy an issue model.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct UndeployIssueModelResponse {}
/// Metadata for undeploying an issue model.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct UndeployIssueModelMetadata {
    /// Output only. The time the operation was created.
    #[prost(message, optional, tag = "1")]
    pub create_time: ::core::option::Option<::prost_types::Timestamp>,
    /// Output only. The time the operation finished running.
    #[prost(message, optional, tag = "2")]
    pub end_time: ::core::option::Option<::prost_types::Timestamp>,
    /// The original request for undeployment.
    #[prost(message, optional, tag = "3")]
    pub request: ::core::option::Option<UndeployIssueModelRequest>,
}
/// The request to get an issue.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetIssueRequest {
    /// Required. The name of the issue to get.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
}
/// Request to list issues.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListIssuesRequest {
    /// Required. The parent resource of the issue.
    #[prost(string, tag = "1")]
    pub parent: ::prost::alloc::string::String,
}
/// The response of listing issues.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListIssuesResponse {
    /// The issues that match the request.
    #[prost(message, repeated, tag = "1")]
    pub issues: ::prost::alloc::vec::Vec<Issue>,
}
/// The request to update an issue.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct UpdateIssueRequest {
    /// Required. The new values for the issue.
    #[prost(message, optional, tag = "1")]
    pub issue: ::core::option::Option<Issue>,
    /// The list of fields to be updated.
    #[prost(message, optional, tag = "2")]
    pub update_mask: ::core::option::Option<::prost_types::FieldMask>,
}
/// The request to delete an issue.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DeleteIssueRequest {
    /// Required. The name of the issue to delete.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
}
/// Request to get statistics of an issue model.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CalculateIssueModelStatsRequest {
    /// Required. The resource name of the issue model to query against.
    #[prost(string, tag = "1")]
    pub issue_model: ::prost::alloc::string::String,
}
/// Response of querying an issue model's statistics.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CalculateIssueModelStatsResponse {
    /// The latest label statistics for the queried issue model. Includes results
    /// on both training data and data labeled after deployment.
    #[prost(message, optional, tag = "4")]
    pub current_stats: ::core::option::Option<IssueModelLabelStats>,
}
/// Request to create a phrase matcher.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CreatePhraseMatcherRequest {
    /// Required. The parent resource of the phrase matcher. Required. The location
    /// to create a phrase matcher for. Format: `projects/<Project
    /// ID>/locations/<Location ID>` or `projects/<Project
    /// Number>/locations/<Location ID>`
    #[prost(string, tag = "1")]
    pub parent: ::prost::alloc::string::String,
    /// Required. The phrase matcher resource to create.
    #[prost(message, optional, tag = "2")]
    pub phrase_matcher: ::core::option::Option<PhraseMatcher>,
}
/// Request to list phrase matchers.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListPhraseMatchersRequest {
    /// Required. The parent resource of the phrase matcher.
    #[prost(string, tag = "1")]
    pub parent: ::prost::alloc::string::String,
    /// The maximum number of phrase matchers 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.
    #[prost(int32, tag = "2")]
    pub page_size: i32,
    /// The value returned by the last `ListPhraseMatchersResponse`. This value
    /// indicates that this is a continuation of a prior `ListPhraseMatchers` call
    /// and that the system should return the next page of data.
    #[prost(string, tag = "3")]
    pub page_token: ::prost::alloc::string::String,
    /// A filter to reduce results to a specific subset. Useful for querying
    /// phrase matchers with specific properties.
    #[prost(string, tag = "4")]
    pub filter: ::prost::alloc::string::String,
}
/// The response of listing phrase matchers.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListPhraseMatchersResponse {
    /// The phrase matchers that match the request.
    #[prost(message, repeated, tag = "1")]
    pub phrase_matchers: ::prost::alloc::vec::Vec<PhraseMatcher>,
    /// A token, which can be sent as `page_token` to retrieve the next page.
    /// If this field is omitted, there are no subsequent pages.
    #[prost(string, tag = "2")]
    pub next_page_token: ::prost::alloc::string::String,
}
/// The request to get a a phrase matcher.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetPhraseMatcherRequest {
    /// Required. The name of the phrase matcher to get.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
}
/// The request to delete a phrase matcher.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DeletePhraseMatcherRequest {
    /// Required. The name of the phrase matcher to delete.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
}
/// The request to update a phrase matcher.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct UpdatePhraseMatcherRequest {
    /// Required. The new values for the phrase matcher.
    #[prost(message, optional, tag = "1")]
    pub phrase_matcher: ::core::option::Option<PhraseMatcher>,
    /// The list of fields to be updated.
    #[prost(message, optional, tag = "2")]
    pub update_mask: ::core::option::Option<::prost_types::FieldMask>,
}
/// The request to get project-level settings.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetSettingsRequest {
    /// Required. The name of the settings resource to get.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
}
/// The request to update project-level settings.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct UpdateSettingsRequest {
    /// Required. The new settings values.
    #[prost(message, optional, tag = "1")]
    pub settings: ::core::option::Option<Settings>,
    /// Required. The list of fields to be updated.
    #[prost(message, optional, tag = "2")]
    pub update_mask: ::core::option::Option<::prost_types::FieldMask>,
}
/// The request to create a view.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CreateViewRequest {
    /// Required. The parent resource of the view. Required. The location to create
    /// a view for.
    /// Format: `projects/<Project ID>/locations/<Location ID>` or
    /// `projects/<Project Number>/locations/<Location ID>`
    #[prost(string, tag = "1")]
    pub parent: ::prost::alloc::string::String,
    /// Required. The view resource to create.
    #[prost(message, optional, tag = "2")]
    pub view: ::core::option::Option<View>,
}
/// The request to get a view.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetViewRequest {
    /// Required. The name of the view to get.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
}
/// The request to list views.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListViewsRequest {
    /// Required. The parent resource of the views.
    #[prost(string, tag = "1")]
    pub parent: ::prost::alloc::string::String,
    /// The maximum number of views to return in the response. If this
    /// value is zero, the service will select a default size. A call may return
    /// fewer objects than requested. A non-empty `next_page_token` in the response
    /// indicates that more data is available.
    #[prost(int32, tag = "2")]
    pub page_size: i32,
    /// The value returned by the last `ListViewsResponse`; indicates
    /// that this is a continuation of a prior `ListViews` call and
    /// the system should return the next page of data.
    #[prost(string, tag = "3")]
    pub page_token: ::prost::alloc::string::String,
}
/// The response of listing views.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListViewsResponse {
    /// The views that match the request.
    #[prost(message, repeated, tag = "1")]
    pub views: ::prost::alloc::vec::Vec<View>,
    /// A token, which can be sent as `page_token` to retrieve the next page.
    /// If this field is omitted, there are no subsequent pages.
    #[prost(string, tag = "2")]
    pub next_page_token: ::prost::alloc::string::String,
}
/// The request to update a view.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct UpdateViewRequest {
    /// Required. The new view.
    #[prost(message, optional, tag = "1")]
    pub view: ::core::option::Option<View>,
    /// The list of fields to be updated.
    #[prost(message, optional, tag = "2")]
    pub update_mask: ::core::option::Option<::prost_types::FieldMask>,
}
/// The request to delete a view.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DeleteViewRequest {
    /// Required. The name of the view to delete.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
}
/// Represents the options for viewing a conversation.
#[derive(Clone, Copy, Debug, PartialEq, Eq, Hash, PartialOrd, Ord, ::prost::Enumeration)]
#[repr(i32)]
pub enum ConversationView {
    /// The conversation view is not specified.
    ///
    /// * Defaults to `FULL` in `GetConversationRequest`.
    /// * Defaults to `BASIC` in `ListConversationsRequest`.
    Unspecified = 0,
    /// Populates all fields in the conversation.
    Full = 2,
    /// Populates all fields in the conversation except the transcript.
    Basic = 1,
}
impl ConversationView {
    /// String value of the enum field names used in the ProtoBuf definition.
    ///
    /// The values are not transformed in any way and thus are considered stable
    /// (if the ProtoBuf definition does not change) and safe for programmatic use.
    pub fn as_str_name(&self) -> &'static str {
        match self {
            ConversationView::Unspecified => "CONVERSATION_VIEW_UNSPECIFIED",
            ConversationView::Full => "FULL",
            ConversationView::Basic => "BASIC",
        }
    }
    /// Creates an enum from field names used in the ProtoBuf definition.
    pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
        match value {
            "CONVERSATION_VIEW_UNSPECIFIED" => Some(Self::Unspecified),
            "FULL" => Some(Self::Full),
            "BASIC" => Some(Self::Basic),
            _ => None,
        }
    }
}
/// Generated client implementations.
pub mod contact_center_insights_client {
    #![allow(unused_variables, dead_code, missing_docs, clippy::let_unit_value)]
    use tonic::codegen::*;
    use tonic::codegen::http::Uri;
    /// An API that lets users analyze and explore their business conversation data.
    #[derive(Debug, Clone)]
    pub struct ContactCenterInsightsClient<T> {
        inner: tonic::client::Grpc<T>,
    }
    impl<T> ContactCenterInsightsClient<T>
    where
        T: tonic::client::GrpcService<tonic::body::BoxBody>,
        T::Error: Into<StdError>,
        T::ResponseBody: Body<Data = Bytes> + Send + 'static,
        <T::ResponseBody as Body>::Error: Into<StdError> + Send,
    {
        pub fn new(inner: T) -> Self {
            let inner = tonic::client::Grpc::new(inner);
            Self { inner }
        }
        pub fn with_origin(inner: T, origin: Uri) -> Self {
            let inner = tonic::client::Grpc::with_origin(inner, origin);
            Self { inner }
        }
        pub fn with_interceptor<F>(
            inner: T,
            interceptor: F,
        ) -> ContactCenterInsightsClient<InterceptedService<T, F>>
        where
            F: tonic::service::Interceptor,
            T::ResponseBody: Default,
            T: tonic::codegen::Service<
                http::Request<tonic::body::BoxBody>,
                Response = http::Response<
                    <T as tonic::client::GrpcService<tonic::body::BoxBody>>::ResponseBody,
                >,
            >,
            <T as tonic::codegen::Service<
                http::Request<tonic::body::BoxBody>,
            >>::Error: Into<StdError> + Send + Sync,
        {
            ContactCenterInsightsClient::new(InterceptedService::new(inner, interceptor))
        }
        /// Compress requests with the given encoding.
        ///
        /// This requires the server to support it otherwise it might respond with an
        /// error.
        #[must_use]
        pub fn send_compressed(mut self, encoding: CompressionEncoding) -> Self {
            self.inner = self.inner.send_compressed(encoding);
            self
        }
        /// Enable decompressing responses.
        #[must_use]
        pub fn accept_compressed(mut self, encoding: CompressionEncoding) -> Self {
            self.inner = self.inner.accept_compressed(encoding);
            self
        }
        /// Limits the maximum size of a decoded message.
        ///
        /// Default: `4MB`
        #[must_use]
        pub fn max_decoding_message_size(mut self, limit: usize) -> Self {
            self.inner = self.inner.max_decoding_message_size(limit);
            self
        }
        /// Limits the maximum size of an encoded message.
        ///
        /// Default: `usize::MAX`
        #[must_use]
        pub fn max_encoding_message_size(mut self, limit: usize) -> Self {
            self.inner = self.inner.max_encoding_message_size(limit);
            self
        }
        /// Creates a conversation.
        pub async fn create_conversation(
            &mut self,
            request: impl tonic::IntoRequest<super::CreateConversationRequest>,
        ) -> std::result::Result<tonic::Response<super::Conversation>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/CreateConversation",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "CreateConversation",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Create a longrunning conversation upload operation. This method differs
        /// from CreateConversation by allowing audio transcription and optional DLP
        /// redaction.
        pub async fn upload_conversation(
            &mut self,
            request: impl tonic::IntoRequest<super::UploadConversationRequest>,
        ) -> std::result::Result<
            tonic::Response<super::super::super::super::longrunning::Operation>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/UploadConversation",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "UploadConversation",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Updates a conversation.
        pub async fn update_conversation(
            &mut self,
            request: impl tonic::IntoRequest<super::UpdateConversationRequest>,
        ) -> std::result::Result<tonic::Response<super::Conversation>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/UpdateConversation",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "UpdateConversation",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Gets a conversation.
        pub async fn get_conversation(
            &mut self,
            request: impl tonic::IntoRequest<super::GetConversationRequest>,
        ) -> std::result::Result<tonic::Response<super::Conversation>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/GetConversation",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "GetConversation",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Lists conversations.
        pub async fn list_conversations(
            &mut self,
            request: impl tonic::IntoRequest<super::ListConversationsRequest>,
        ) -> std::result::Result<
            tonic::Response<super::ListConversationsResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/ListConversations",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "ListConversations",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Deletes a conversation.
        pub async fn delete_conversation(
            &mut self,
            request: impl tonic::IntoRequest<super::DeleteConversationRequest>,
        ) -> std::result::Result<tonic::Response<()>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/DeleteConversation",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "DeleteConversation",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Creates an analysis. The long running operation is done when the analysis
        /// has completed.
        pub async fn create_analysis(
            &mut self,
            request: impl tonic::IntoRequest<super::CreateAnalysisRequest>,
        ) -> std::result::Result<
            tonic::Response<super::super::super::super::longrunning::Operation>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/CreateAnalysis",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "CreateAnalysis",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Gets an analysis.
        pub async fn get_analysis(
            &mut self,
            request: impl tonic::IntoRequest<super::GetAnalysisRequest>,
        ) -> std::result::Result<tonic::Response<super::Analysis>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/GetAnalysis",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "GetAnalysis",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Lists analyses.
        pub async fn list_analyses(
            &mut self,
            request: impl tonic::IntoRequest<super::ListAnalysesRequest>,
        ) -> std::result::Result<
            tonic::Response<super::ListAnalysesResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/ListAnalyses",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "ListAnalyses",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Deletes an analysis.
        pub async fn delete_analysis(
            &mut self,
            request: impl tonic::IntoRequest<super::DeleteAnalysisRequest>,
        ) -> std::result::Result<tonic::Response<()>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/DeleteAnalysis",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "DeleteAnalysis",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Analyzes multiple conversations in a single request.
        pub async fn bulk_analyze_conversations(
            &mut self,
            request: impl tonic::IntoRequest<super::BulkAnalyzeConversationsRequest>,
        ) -> std::result::Result<
            tonic::Response<super::super::super::super::longrunning::Operation>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/BulkAnalyzeConversations",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "BulkAnalyzeConversations",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Deletes multiple conversations in a single request.
        pub async fn bulk_delete_conversations(
            &mut self,
            request: impl tonic::IntoRequest<super::BulkDeleteConversationsRequest>,
        ) -> std::result::Result<
            tonic::Response<super::super::super::super::longrunning::Operation>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/BulkDeleteConversations",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "BulkDeleteConversations",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Imports conversations and processes them according to the user's
        /// configuration.
        pub async fn ingest_conversations(
            &mut self,
            request: impl tonic::IntoRequest<super::IngestConversationsRequest>,
        ) -> std::result::Result<
            tonic::Response<super::super::super::super::longrunning::Operation>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/IngestConversations",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "IngestConversations",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Export insights data to a destination defined in the request body.
        pub async fn export_insights_data(
            &mut self,
            request: impl tonic::IntoRequest<super::ExportInsightsDataRequest>,
        ) -> std::result::Result<
            tonic::Response<super::super::super::super::longrunning::Operation>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/ExportInsightsData",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "ExportInsightsData",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Creates an issue model.
        pub async fn create_issue_model(
            &mut self,
            request: impl tonic::IntoRequest<super::CreateIssueModelRequest>,
        ) -> std::result::Result<
            tonic::Response<super::super::super::super::longrunning::Operation>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/CreateIssueModel",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "CreateIssueModel",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Updates an issue model.
        pub async fn update_issue_model(
            &mut self,
            request: impl tonic::IntoRequest<super::UpdateIssueModelRequest>,
        ) -> std::result::Result<tonic::Response<super::IssueModel>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/UpdateIssueModel",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "UpdateIssueModel",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Gets an issue model.
        pub async fn get_issue_model(
            &mut self,
            request: impl tonic::IntoRequest<super::GetIssueModelRequest>,
        ) -> std::result::Result<tonic::Response<super::IssueModel>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/GetIssueModel",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "GetIssueModel",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Lists issue models.
        pub async fn list_issue_models(
            &mut self,
            request: impl tonic::IntoRequest<super::ListIssueModelsRequest>,
        ) -> std::result::Result<
            tonic::Response<super::ListIssueModelsResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/ListIssueModels",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "ListIssueModels",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Deletes an issue model.
        pub async fn delete_issue_model(
            &mut self,
            request: impl tonic::IntoRequest<super::DeleteIssueModelRequest>,
        ) -> std::result::Result<
            tonic::Response<super::super::super::super::longrunning::Operation>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/DeleteIssueModel",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "DeleteIssueModel",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Deploys an issue model. Returns an error if a model is already deployed.
        /// An issue model can only be used in analysis after it has been deployed.
        pub async fn deploy_issue_model(
            &mut self,
            request: impl tonic::IntoRequest<super::DeployIssueModelRequest>,
        ) -> std::result::Result<
            tonic::Response<super::super::super::super::longrunning::Operation>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/DeployIssueModel",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "DeployIssueModel",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Undeploys an issue model.
        /// An issue model can not be used in analysis after it has been undeployed.
        pub async fn undeploy_issue_model(
            &mut self,
            request: impl tonic::IntoRequest<super::UndeployIssueModelRequest>,
        ) -> std::result::Result<
            tonic::Response<super::super::super::super::longrunning::Operation>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/UndeployIssueModel",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "UndeployIssueModel",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Gets an issue.
        pub async fn get_issue(
            &mut self,
            request: impl tonic::IntoRequest<super::GetIssueRequest>,
        ) -> std::result::Result<tonic::Response<super::Issue>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/GetIssue",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "GetIssue",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Lists issues.
        pub async fn list_issues(
            &mut self,
            request: impl tonic::IntoRequest<super::ListIssuesRequest>,
        ) -> std::result::Result<
            tonic::Response<super::ListIssuesResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/ListIssues",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "ListIssues",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Updates an issue.
        pub async fn update_issue(
            &mut self,
            request: impl tonic::IntoRequest<super::UpdateIssueRequest>,
        ) -> std::result::Result<tonic::Response<super::Issue>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/UpdateIssue",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "UpdateIssue",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Deletes an issue.
        pub async fn delete_issue(
            &mut self,
            request: impl tonic::IntoRequest<super::DeleteIssueRequest>,
        ) -> std::result::Result<tonic::Response<()>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/DeleteIssue",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "DeleteIssue",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Gets an issue model's statistics.
        pub async fn calculate_issue_model_stats(
            &mut self,
            request: impl tonic::IntoRequest<super::CalculateIssueModelStatsRequest>,
        ) -> std::result::Result<
            tonic::Response<super::CalculateIssueModelStatsResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/CalculateIssueModelStats",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "CalculateIssueModelStats",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Creates a phrase matcher.
        pub async fn create_phrase_matcher(
            &mut self,
            request: impl tonic::IntoRequest<super::CreatePhraseMatcherRequest>,
        ) -> std::result::Result<tonic::Response<super::PhraseMatcher>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/CreatePhraseMatcher",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "CreatePhraseMatcher",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Gets a phrase matcher.
        pub async fn get_phrase_matcher(
            &mut self,
            request: impl tonic::IntoRequest<super::GetPhraseMatcherRequest>,
        ) -> std::result::Result<tonic::Response<super::PhraseMatcher>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/GetPhraseMatcher",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "GetPhraseMatcher",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Lists phrase matchers.
        pub async fn list_phrase_matchers(
            &mut self,
            request: impl tonic::IntoRequest<super::ListPhraseMatchersRequest>,
        ) -> std::result::Result<
            tonic::Response<super::ListPhraseMatchersResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/ListPhraseMatchers",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "ListPhraseMatchers",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Deletes a phrase matcher.
        pub async fn delete_phrase_matcher(
            &mut self,
            request: impl tonic::IntoRequest<super::DeletePhraseMatcherRequest>,
        ) -> std::result::Result<tonic::Response<()>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/DeletePhraseMatcher",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "DeletePhraseMatcher",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Updates a phrase matcher.
        pub async fn update_phrase_matcher(
            &mut self,
            request: impl tonic::IntoRequest<super::UpdatePhraseMatcherRequest>,
        ) -> std::result::Result<tonic::Response<super::PhraseMatcher>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/UpdatePhraseMatcher",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "UpdatePhraseMatcher",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Gets conversation statistics.
        pub async fn calculate_stats(
            &mut self,
            request: impl tonic::IntoRequest<super::CalculateStatsRequest>,
        ) -> std::result::Result<
            tonic::Response<super::CalculateStatsResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/CalculateStats",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "CalculateStats",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Gets project-level settings.
        pub async fn get_settings(
            &mut self,
            request: impl tonic::IntoRequest<super::GetSettingsRequest>,
        ) -> std::result::Result<tonic::Response<super::Settings>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/GetSettings",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "GetSettings",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Updates project-level settings.
        pub async fn update_settings(
            &mut self,
            request: impl tonic::IntoRequest<super::UpdateSettingsRequest>,
        ) -> std::result::Result<tonic::Response<super::Settings>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/UpdateSettings",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "UpdateSettings",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Creates a view.
        pub async fn create_view(
            &mut self,
            request: impl tonic::IntoRequest<super::CreateViewRequest>,
        ) -> std::result::Result<tonic::Response<super::View>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/CreateView",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "CreateView",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Gets a view.
        pub async fn get_view(
            &mut self,
            request: impl tonic::IntoRequest<super::GetViewRequest>,
        ) -> std::result::Result<tonic::Response<super::View>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/GetView",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "GetView",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Lists views.
        pub async fn list_views(
            &mut self,
            request: impl tonic::IntoRequest<super::ListViewsRequest>,
        ) -> std::result::Result<
            tonic::Response<super::ListViewsResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/ListViews",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "ListViews",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Updates a view.
        pub async fn update_view(
            &mut self,
            request: impl tonic::IntoRequest<super::UpdateViewRequest>,
        ) -> std::result::Result<tonic::Response<super::View>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/UpdateView",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "UpdateView",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Deletes a view.
        pub async fn delete_view(
            &mut self,
            request: impl tonic::IntoRequest<super::DeleteViewRequest>,
        ) -> std::result::Result<tonic::Response<()>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/google.cloud.contactcenterinsights.v1.ContactCenterInsights/DeleteView",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "google.cloud.contactcenterinsights.v1.ContactCenterInsights",
                        "DeleteView",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
    }
}