Struct GoogleCloudDocumentaiV1Document 

pub struct GoogleCloudDocumentaiV1Document {

    pub chunked_document: Option<GoogleCloudDocumentaiV1DocumentChunkedDocument>,
    pub content: Option<Vec<u8>>,
    pub docid: Option<String>,
    pub document_layout: Option<GoogleCloudDocumentaiV1DocumentDocumentLayout>,
    pub entities: Option<Vec<GoogleCloudDocumentaiV1DocumentEntity>>,
    pub entities_revision_id: Option<String>,
    pub entities_revisions: Option<Vec<GoogleCloudDocumentaiV1DocumentEntitiesRevision>>,
    pub entity_relations: Option<Vec<GoogleCloudDocumentaiV1DocumentEntityRelation>>,
    pub entity_validation_output: Option<GoogleCloudDocumentaiV1DocumentEntityValidationOutput>,
    pub error: Option<GoogleRpcStatus>,
    pub mime_type: Option<String>,
    pub pages: Option<Vec<GoogleCloudDocumentaiV1DocumentPage>>,
    pub revisions: Option<Vec<GoogleCloudDocumentaiV1DocumentRevision>>,
    pub shard_info: Option<GoogleCloudDocumentaiV1DocumentShardInfo>,
    pub text: Option<String>,
    pub text_changes: Option<Vec<GoogleCloudDocumentaiV1DocumentTextChange>>,
    pub text_styles: Option<Vec<GoogleCloudDocumentaiV1DocumentStyle>>,
    pub uri: Option<String>,
}

Document represents the canonical document resource in Document AI. It is an interchange format that provides insights into documents and allows for collaboration between users and Document AI to iterate and optimize for quality.

This type is not used in any activity, and only used as part of another schema.

Fields

chunked_document: Option<GoogleCloudDocumentaiV1DocumentChunkedDocument>

Document chunked based on chunking config.

content: Option<Vec<u8>>

Optional. Inline document content, represented as a stream of bytes. Note: As with all bytes fields, protobuffers use a pure binary representation, whereas JSON representations use base64.

docid: Option<String>

Optional. An internal identifier for document. Should be loggable (no PII).

document_layout: Option<GoogleCloudDocumentaiV1DocumentDocumentLayout>

Parsed layout of the document.

entities: Option<Vec<GoogleCloudDocumentaiV1DocumentEntity>>

A list of entities detected on Document.text. For document shards, entities in this list may cross shard boundaries.

entities_revision_id: Option<String>

The entity revision id that document.entities field is based on. If this field is set and entities_revisions is not empty, the entities in document.entities field are the entities in the entity revision with this id and document.entity_validation_output field is the entity_validation_output field in this entity revision.

entities_revisions: Option<Vec<GoogleCloudDocumentaiV1DocumentEntitiesRevision>>

A list of entity revisions. The entity revisions are appended to the document in the processing order. This field can be used for comparing the entity extraction results at different stages of the processing.

entity_relations: Option<Vec<GoogleCloudDocumentaiV1DocumentEntityRelation>>

Placeholder. Relationship among Document.entities.

entity_validation_output: Option<GoogleCloudDocumentaiV1DocumentEntityValidationOutput>

The entity validation output for the document. This is the validation output for document.entities field.

error: Option<GoogleRpcStatus>

Any error that occurred while processing this document.

mime_type: Option<String>

An IANA published media type (MIME type).

pages: Option<Vec<GoogleCloudDocumentaiV1DocumentPage>>

Visual page layout for the Document.

revisions: Option<Vec<GoogleCloudDocumentaiV1DocumentRevision>>

Placeholder. Revision history of this document.

shard_info: Option<GoogleCloudDocumentaiV1DocumentShardInfo>

Information about the sharding if this document is sharded part of a larger document. If the document is not sharded, this message is not specified.

text: Option<String>

Optional. UTF-8 encoded text in reading order from the document.

text_changes: Option<Vec<GoogleCloudDocumentaiV1DocumentTextChange>>

Placeholder. A list of text corrections made to Document.text. This is usually used for annotating corrections to OCR mistakes. Text changes for a given revision may not overlap with each other.

text_styles: Option<Vec<GoogleCloudDocumentaiV1DocumentStyle>>

Styles for the Document.text.

uri: Option<String>

Optional. Currently supports Google Cloud Storage URI of the form gs://bucket_name/object_name. Object versioning is not supported. For more information, refer to Google Cloud Storage Request URIs.

Trait Implementations

impl Clone for GoogleCloudDocumentaiV1Document

fn clone(&self) -> GoogleCloudDocumentaiV1Document

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for GoogleCloudDocumentaiV1Document

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for GoogleCloudDocumentaiV1Document

fn default() -> GoogleCloudDocumentaiV1Document

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudDocumentaiV1Document

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudDocumentaiV1Document

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Part for GoogleCloudDocumentaiV1Document