yandex-cloud 2025.4.14

#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ClassAnnotation {
    /// Properties extracted by a specified model.
    ///
    /// For example, if you ask to evaluate the image quality,
    /// the service could return such properties as `good` and `bad`.
    #[prost(message, repeated, tag = "1")]
    pub properties: ::prost::alloc::vec::Vec<Property>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Property {
    /// Property name.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
    /// Probability of the property, from 0 to 1.
    #[prost(double, tag = "2")]
    pub probability: f64,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Polygon {
    /// The bounding polygon vertices.
    #[prost(message, repeated, tag = "1")]
    pub vertices: ::prost::alloc::vec::Vec<Vertex>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Vertex {
    /// X coordinate in pixels.
    #[prost(int64, tag = "1")]
    pub x: i64,
    /// Y coordinate in pixels.
    #[prost(int64, tag = "2")]
    pub y: i64,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct FaceAnnotation {
    /// An array of detected faces for the specified image.
    #[prost(message, repeated, tag = "1")]
    pub faces: ::prost::alloc::vec::Vec<Face>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Face {
    /// Area on the image where the face is located.
    #[prost(message, optional, tag = "1")]
    pub bounding_box: ::core::option::Option<Polygon>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ImageCopySearchAnnotation {
    /// Number of image copies
    #[prost(int64, tag = "1")]
    pub copy_count: i64,
    /// Top relevance result of image copy search
    #[prost(message, repeated, tag = "2")]
    pub top_results: ::prost::alloc::vec::Vec<CopyMatch>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CopyMatch {
    /// url of image
    #[prost(string, tag = "1")]
    pub image_url: ::prost::alloc::string::String,
    /// url of page that contains image
    #[prost(string, tag = "2")]
    pub page_url: ::prost::alloc::string::String,
    /// page title that contains image
    #[prost(string, tag = "3")]
    pub title: ::prost::alloc::string::String,
    /// image description
    #[prost(string, tag = "4")]
    pub description: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct TextAnnotation {
    /// Pages of the recognized file.
    ///
    /// For JPEG and PNG files contains only 1 page.
    #[prost(message, repeated, tag = "1")]
    pub pages: ::prost::alloc::vec::Vec<Page>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Page {
    /// Page width in pixels.
    #[prost(int64, tag = "1")]
    pub width: i64,
    /// Page height in pixels.
    #[prost(int64, tag = "2")]
    pub height: i64,
    /// Recognized text blocks in this page.
    #[prost(message, repeated, tag = "3")]
    pub blocks: ::prost::alloc::vec::Vec<Block>,
    /// Recognized entities
    #[prost(message, repeated, tag = "4")]
    pub entities: ::prost::alloc::vec::Vec<Entity>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Entity {
    /// Entity name
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
    /// Recognized entity text
    #[prost(string, tag = "2")]
    pub text: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Block {
    /// Area on the page where the text block is located.
    #[prost(message, optional, tag = "1")]
    pub bounding_box: ::core::option::Option<Polygon>,
    /// Recognized lines in this block.
    #[prost(message, repeated, tag = "2")]
    pub lines: ::prost::alloc::vec::Vec<Line>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Line {
    /// Area on the page where the line is located.
    #[prost(message, optional, tag = "1")]
    pub bounding_box: ::core::option::Option<Polygon>,
    /// Recognized words in this line.
    #[prost(message, repeated, tag = "2")]
    pub words: ::prost::alloc::vec::Vec<Word>,
    /// Confidence of the OCR results for the line. Range [0, 1].
    #[prost(double, tag = "3")]
    pub confidence: f64,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Word {
    /// Area on the page where the word is located.
    #[prost(message, optional, tag = "1")]
    pub bounding_box: ::core::option::Option<Polygon>,
    /// Recognized word value.
    #[prost(string, tag = "2")]
    pub text: ::prost::alloc::string::String,
    /// Confidence of the OCR results for the word. Range [0, 1].
    #[prost(double, tag = "3")]
    pub confidence: f64,
    /// A list of detected languages together with confidence.
    #[prost(message, repeated, tag = "4")]
    pub languages: ::prost::alloc::vec::Vec<word::DetectedLanguage>,
    /// Id of recognized word in entities array
    #[prost(int64, tag = "5")]
    pub entity_index: i64,
}
/// Nested message and enum types in `Word`.
pub mod word {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct DetectedLanguage {
        /// Detected language code.
        #[prost(string, tag = "1")]
        pub language_code: ::prost::alloc::string::String,
        /// Confidence of detected language. Range [0, 1].
        #[prost(double, tag = "2")]
        pub confidence: f64,
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct BatchAnalyzeRequest {
    /// A list of specifications. Each specification contains the file to analyze and features to use for analysis.
    ///
    /// Restrictions:
    /// * Supported file formats: `JPEG`, `PNG`.
    /// * Maximum file size: 1 MB.
    /// * Image size should not exceed 20M pixels (length x width).
    #[prost(message, repeated, tag = "1")]
    pub analyze_specs: ::prost::alloc::vec::Vec<AnalyzeSpec>,
    /// ID of the folder to which you have access.
    /// Required for authorization with a user account (see \[yandex.cloud.iam.v1.UserAccount\] resource).
    /// Don't specify this field if you make the request on behalf of a service account.
    #[prost(string, tag = "2")]
    pub folder_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct AnalyzeSpec {
    /// Requested features to use for analysis.
    ///
    /// Max count of requested features for one file is 8.
    #[prost(message, repeated, tag = "3")]
    pub features: ::prost::alloc::vec::Vec<Feature>,
    /// [MIME type](<https://en.wikipedia.org/wiki/Media_type>) of content (for example, `` application/pdf ``).
    #[prost(string, tag = "4")]
    pub mime_type: ::prost::alloc::string::String,
    #[prost(oneof = "analyze_spec::Source", tags = "1, 5")]
    pub source: ::core::option::Option<analyze_spec::Source>,
}
/// Nested message and enum types in `AnalyzeSpec`.
pub mod analyze_spec {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum Source {
        /// Image content, represented as a stream of bytes.
        /// Note: As with all bytes fields, protobuffers use a pure binary representation, whereas JSON representations use base64.
        #[prost(bytes, tag = "1")]
        Content(::prost::alloc::vec::Vec<u8>),
        #[prost(string, tag = "5")]
        Signature(::prost::alloc::string::String),
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Feature {
    /// Type of requested feature.
    #[prost(enumeration = "feature::Type", tag = "1")]
    pub r#type: i32,
    #[prost(oneof = "feature::Config", tags = "2, 3")]
    pub config: ::core::option::Option<feature::Config>,
}
/// Nested message and enum types in `Feature`.
pub mod feature {
    #[derive(
        Clone,
        Copy,
        Debug,
        PartialEq,
        Eq,
        Hash,
        PartialOrd,
        Ord,
        ::prost::Enumeration
    )]
    #[repr(i32)]
    pub enum Type {
        Unspecified = 0,
        /// Text detection (OCR) feature.
        TextDetection = 1,
        /// Classification feature.
        Classification = 2,
        /// Face detection feature.
        FaceDetection = 3,
        /// Image copy search.
        ImageCopySearch = 4,
    }
    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::TextDetection => "TEXT_DETECTION",
                Type::Classification => "CLASSIFICATION",
                Type::FaceDetection => "FACE_DETECTION",
                Type::ImageCopySearch => "IMAGE_COPY_SEARCH",
            }
        }
        /// 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),
                "TEXT_DETECTION" => Some(Self::TextDetection),
                "CLASSIFICATION" => Some(Self::Classification),
                "FACE_DETECTION" => Some(Self::FaceDetection),
                "IMAGE_COPY_SEARCH" => Some(Self::ImageCopySearch),
                _ => None,
            }
        }
    }
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum Config {
        /// Required for the `CLASSIFICATION` type. Specifies configuration for the classification feature.
        #[prost(message, tag = "2")]
        ClassificationConfig(super::FeatureClassificationConfig),
        /// Required for the `TEXT_DETECTION` type. Specifies configuration for the text detection (OCR) feature.
        #[prost(message, tag = "3")]
        TextDetectionConfig(super::FeatureTextDetectionConfig),
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct FeatureClassificationConfig {
    /// Model to use for image classification.
    #[prost(string, tag = "1")]
    pub model: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct FeatureTextDetectionConfig {
    /// List of the languages to recognize text.
    /// Specified in [ISO 639-1](<https://en.wikipedia.org/wiki/ISO_639-1>) format (for example, `ru`).
    #[prost(string, repeated, tag = "1")]
    pub language_codes: ::prost::alloc::vec::Vec<::prost::alloc::string::String>,
    /// Model to use for text detection.
    /// Possible values:
    /// * `page` (default): this model is suitable for detecting multiple text entries in an image.
    /// * `line`: this model is suitable for cropped images with one line of text.
    #[prost(string, tag = "2")]
    pub model: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct BatchAnalyzeResponse {
    /// Request results.
    /// Results have the same order as specifications in the request.
    #[prost(message, repeated, tag = "1")]
    pub results: ::prost::alloc::vec::Vec<AnalyzeResult>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct AnalyzeResult {
    /// Results for each requested feature.
    /// Feature results have the same order as in the request.
    #[prost(message, repeated, tag = "2")]
    pub results: ::prost::alloc::vec::Vec<FeatureResult>,
    /// Return error in case of error with file processing.
    #[prost(message, optional, tag = "1")]
    pub error: ::core::option::Option<
        super::super::super::super::super::google::rpc::Status,
    >,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct FeatureResult {
    /// Return error in case of error during the specified feature processing.
    #[prost(message, optional, tag = "1")]
    pub error: ::core::option::Option<
        super::super::super::super::super::google::rpc::Status,
    >,
    #[prost(oneof = "feature_result::Feature", tags = "2, 3, 4, 5")]
    pub feature: ::core::option::Option<feature_result::Feature>,
}
/// Nested message and enum types in `FeatureResult`.
pub mod feature_result {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum Feature {
        /// Text detection (OCR) result.
        #[prost(message, tag = "2")]
        TextDetection(super::TextAnnotation),
        /// Classification result.
        #[prost(message, tag = "3")]
        Classification(super::ClassAnnotation),
        /// Face detection result.
        #[prost(message, tag = "4")]
        FaceDetection(super::FaceAnnotation),
        /// Image Copy Search result.
        #[prost(message, tag = "5")]
        ImageCopySearch(super::ImageCopySearchAnnotation),
    }
}
/// Generated client implementations.
pub mod vision_service_client {
    #![allow(unused_variables, dead_code, missing_docs, clippy::let_unit_value)]
    use tonic::codegen::*;
    use tonic::codegen::http::Uri;
    /// A set of methods for the Vision service.
    #[derive(Debug, Clone)]
    pub struct VisionServiceClient<T> {
        inner: tonic::client::Grpc<T>,
    }
    impl VisionServiceClient<tonic::transport::Channel> {
        /// Attempt to create a new client by connecting to a given endpoint.
        pub async fn connect<D>(dst: D) -> Result<Self, tonic::transport::Error>
        where
            D: TryInto<tonic::transport::Endpoint>,
            D::Error: Into<StdError>,
        {
            let conn = tonic::transport::Endpoint::new(dst)?.connect().await?;
            Ok(Self::new(conn))
        }
    }
    impl<T> VisionServiceClient<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,
        ) -> VisionServiceClient<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,
        {
            VisionServiceClient::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
        }
        /// Analyzes a batch of images and returns results with annotations.
        pub async fn batch_analyze(
            &mut self,
            request: impl tonic::IntoRequest<super::BatchAnalyzeRequest>,
        ) -> std::result::Result<
            tonic::Response<super::BatchAnalyzeResponse>,
            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(
                "/yandex.cloud.ai.vision.v1.VisionService/BatchAnalyze",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.vision.v1.VisionService",
                        "BatchAnalyze",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
    }
}