yandex-cloud 2025.4.14

#[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 TextAnnotation {
    /// 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>,
    #[prost(message, repeated, tag = "5")]
    pub tables: ::prost::alloc::vec::Vec<Table>,
    /// Full text recognized from image.
    #[prost(string, tag = "6")]
    pub full_text: ::prost::alloc::string::String,
    /// Angle of image rotation.
    #[prost(enumeration = "Angle", tag = "7")]
    pub rotate: i32,
}
#[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>,
    /// A list of detected languages
    #[prost(message, repeated, tag = "3")]
    pub languages: ::prost::alloc::vec::Vec<block::DetectedLanguage>,
    /// Block position from full_text string.
    #[prost(message, repeated, tag = "4")]
    pub text_segments: ::prost::alloc::vec::Vec<TextSegments>,
}
/// Nested message and enum types in `Block`.
pub mod block {
    #[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,
    }
}
#[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 text.
    #[prost(string, tag = "2")]
    pub text: ::prost::alloc::string::String,
    /// Recognized words.
    #[prost(message, repeated, tag = "3")]
    pub words: ::prost::alloc::vec::Vec<Word>,
    /// Line position from full_text string.
    #[prost(message, repeated, tag = "4")]
    pub text_segments: ::prost::alloc::vec::Vec<TextSegments>,
    /// Angle of line rotation.
    #[prost(enumeration = "Angle", tag = "5")]
    pub orientation: i32,
}
#[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,
    /// ID of the recognized word in entities array.
    #[prost(int64, tag = "3")]
    pub entity_index: i64,
    /// Word position from full_text string.
    #[prost(message, repeated, tag = "4")]
    pub text_segments: ::prost::alloc::vec::Vec<TextSegments>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct TextSegments {
    /// Start character position from full_text string.
    #[prost(int64, tag = "1")]
    pub start_index: i64,
    /// Text segment length.
    #[prost(int64, tag = "2")]
    pub length: i64,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Table {
    /// Area on the page where the table is located.
    #[prost(message, optional, tag = "1")]
    pub bounding_box: ::core::option::Option<Polygon>,
    /// Number of rows in table.
    #[prost(int64, tag = "2")]
    pub row_count: i64,
    /// Number of columns in table.
    #[prost(int64, tag = "3")]
    pub column_count: i64,
    /// Table cells.
    #[prost(message, repeated, tag = "4")]
    pub cells: ::prost::alloc::vec::Vec<TableCell>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct TableCell {
    /// Area on the page where the table cell is located.
    #[prost(message, optional, tag = "1")]
    pub bounding_box: ::core::option::Option<Polygon>,
    /// Row index.
    #[prost(int64, tag = "2")]
    pub row_index: i64,
    /// Column index.
    #[prost(int64, tag = "3")]
    pub column_index: i64,
    /// Column span.
    #[prost(int64, tag = "4")]
    pub column_span: i64,
    /// Row span.
    #[prost(int64, tag = "5")]
    pub row_span: i64,
    /// Text in cell.
    #[prost(string, tag = "6")]
    pub text: ::prost::alloc::string::String,
    /// Table cell position from full_text string.
    #[prost(message, repeated, tag = "7")]
    pub text_segments: ::prost::alloc::vec::Vec<TextSegments>,
}
#[derive(Clone, Copy, Debug, PartialEq, Eq, Hash, PartialOrd, Ord, ::prost::Enumeration)]
#[repr(i32)]
pub enum Angle {
    Unspecified = 0,
    Angle0 = 1,
    Angle90 = 2,
    Angle180 = 3,
    Angle270 = 4,
}
impl Angle {
    /// 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 {
            Angle::Unspecified => "ANGLE_UNSPECIFIED",
            Angle::Angle0 => "ANGLE_0",
            Angle::Angle90 => "ANGLE_90",
            Angle::Angle180 => "ANGLE_180",
            Angle::Angle270 => "ANGLE_270",
        }
    }
    /// Creates an enum from field names used in the ProtoBuf definition.
    pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
        match value {
            "ANGLE_UNSPECIFIED" => Some(Self::Unspecified),
            "ANGLE_0" => Some(Self::Angle0),
            "ANGLE_90" => Some(Self::Angle90),
            "ANGLE_180" => Some(Self::Angle180),
            "ANGLE_270" => Some(Self::Angle270),
            _ => None,
        }
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct RecognizeTextRequest {
    /// Specifications of the ([MIME type](<https://en.wikipedia.org/wiki/Media_type>)). Each specification contains the file to analyze and features to use for analysis. Restrictions:
    /// * Supported file formats: `JPEG`, `PNG`, `PDF`.
    /// * Maximum file size: see \[documentation\](/docs/vision/concepts/limits).
    /// * Image size should not exceed 20M pixels (length x width).
    /// * The number of pages in a PDF file should not exceed 1.
    #[prost(string, tag = "2")]
    pub mime_type: ::prost::alloc::string::String,
    /// [List of the languages](/docs/vision/concepts/ocr/supported-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 = "3")]
    pub language_codes: ::prost::alloc::vec::Vec<::prost::alloc::string::String>,
    /// \[Model\](/docs/vision/concepts/ocr/template-recognition#models) to use for text detection.
    #[prost(string, tag = "4")]
    pub model: ::prost::alloc::string::String,
    #[prost(oneof = "recognize_text_request::Source", tags = "1")]
    pub source: ::core::option::Option<recognize_text_request::Source>,
}
/// Nested message and enum types in `RecognizeTextRequest`.
pub mod recognize_text_request {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum Source {
        /// Bytes with data
        #[prost(bytes, tag = "1")]
        Content(::prost::alloc::vec::Vec<u8>),
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct RecognizeTextResponse {
    /// Recognized text blocks in page or text from entities.
    #[prost(message, optional, tag = "1")]
    pub text_annotation: ::core::option::Option<TextAnnotation>,
    /// Page number in PDF file.
    #[prost(int64, tag = "2")]
    pub page: i64,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetRecognitionRequest {
    /// Operation ID of async recognition request.
    #[prost(string, tag = "1")]
    pub operation_id: ::prost::alloc::string::String,
}
/// Generated client implementations.
pub mod text_recognition_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 OCR service.
    #[derive(Debug, Clone)]
    pub struct TextRecognitionServiceClient<T> {
        inner: tonic::client::Grpc<T>,
    }
    impl TextRecognitionServiceClient<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> TextRecognitionServiceClient<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,
        ) -> TextRecognitionServiceClient<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,
        {
            TextRecognitionServiceClient::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
        }
        /// To send the image for text recognition.
        pub async fn recognize(
            &mut self,
            request: impl tonic::IntoRequest<super::RecognizeTextRequest>,
        ) -> std::result::Result<
            tonic::Response<tonic::codec::Streaming<super::RecognizeTextResponse>>,
            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.ocr.v1.TextRecognitionService/Recognize",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.ocr.v1.TextRecognitionService",
                        "Recognize",
                    ),
                );
            self.inner.server_streaming(req, path, codec).await
        }
    }
}
/// Generated client implementations.
pub mod text_recognition_async_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 managing operations for asynchronous API requests.
    #[derive(Debug, Clone)]
    pub struct TextRecognitionAsyncServiceClient<T> {
        inner: tonic::client::Grpc<T>,
    }
    impl TextRecognitionAsyncServiceClient<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> TextRecognitionAsyncServiceClient<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,
        ) -> TextRecognitionAsyncServiceClient<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,
        {
            TextRecognitionAsyncServiceClient::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
        }
        /// To send the image for asynchronous text recognition.
        pub async fn recognize(
            &mut self,
            request: impl tonic::IntoRequest<super::RecognizeTextRequest>,
        ) -> std::result::Result<
            tonic::Response<super::super::super::super::operation::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(
                "/yandex.cloud.ai.ocr.v1.TextRecognitionAsyncService/Recognize",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.ocr.v1.TextRecognitionAsyncService",
                        "Recognize",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// To get recognition results.
        pub async fn get_recognition(
            &mut self,
            request: impl tonic::IntoRequest<super::GetRecognitionRequest>,
        ) -> std::result::Result<
            tonic::Response<tonic::codec::Streaming<super::RecognizeTextResponse>>,
            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.ocr.v1.TextRecognitionAsyncService/GetRecognition",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.ocr.v1.TextRecognitionAsyncService",
                        "GetRecognition",
                    ),
                );
            self.inner.server_streaming(req, path, codec).await
        }
    }
}