Package Methods (0.13.4a0)

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Summary of entries of Methods for documentai-toolbox.

google.cloud.documentai_toolbox.utilities.gcs_utilities._get_client_info

_get_client_info(
    module: typing.Optional[str] = None,
) -> google.api_core.gapic_v1.client_info.ClientInfo

Returns a custom user agent header.

See more: google.cloud.documentai_toolbox.utilities.gcs_utilities._get_client_info

google.cloud.documentai_toolbox.utilities.gcs_utilities._get_storage_client

_get_storage_client(
    module: typing.Optional[str] = None,
) -> google.cloud.storage.client.Client

Returns a Storage client with custom user agent header.

See more: google.cloud.documentai_toolbox.utilities.gcs_utilities._get_storage_client

google.cloud.documentai_toolbox.utilities.gcs_utilities.create_batches

create_batches(
    gcs_bucket_name: str, gcs_prefix: str, batch_size: int = 1000
) -> typing.List[
    google.cloud.documentai_v1.types.document_io.BatchDocumentsInputConfig
]

Create batches of documents in Cloud Storage to process with batch_process_documents().

See more: google.cloud.documentai_toolbox.utilities.gcs_utilities.create_batches

google.cloud.documentai_toolbox.utilities.gcs_utilities.create_gcs_uri

create_gcs_uri(gcs_bucket_name: str, gcs_prefix: str) -> str

Creates a Cloud Storage uri from the bucket_name and prefix.

See more: google.cloud.documentai_toolbox.utilities.gcs_utilities.create_gcs_uri

google.cloud.documentai_toolbox.utilities.gcs_utilities.get_blob

get_blob(
    gcs_uri: str, module: typing.Optional[str] = "get-bytes"
) -> google.cloud.storage.blob.Blob

Returns a blob from Cloud Storage.

See more: google.cloud.documentai_toolbox.utilities.gcs_utilities.get_blob

google.cloud.documentai_toolbox.utilities.gcs_utilities.get_blobs

get_blobs(
    gcs_uri: typing.Optional[str] = None,
    gcs_bucket_name: typing.Optional[str] = None,
    gcs_prefix: typing.Optional[str] = "/",
    module: typing.Optional[str] = "get-bytes",
) -> typing.List[google.cloud.storage.blob.Blob]

Returns a list of blobs from Cloud Storage.

See more: google.cloud.documentai_toolbox.utilities.gcs_utilities.get_blobs

google.cloud.documentai_toolbox.utilities.gcs_utilities.get_bytes

get_bytes(gcs_bucket_name: str, gcs_prefix: str) -> typing.List[bytes]

Returns a list of bytes of json files from Cloud Storage.

See more: google.cloud.documentai_toolbox.utilities.gcs_utilities.get_bytes

google.cloud.documentai_toolbox.utilities.gcs_utilities.list_gcs_document_tree

list_gcs_document_tree(
    gcs_bucket_name: str, gcs_prefix: str
) -> typing.Dict[str, typing.List[str]]

Returns a list path to files in Cloud Storage folder.

See more: google.cloud.documentai_toolbox.utilities.gcs_utilities.list_gcs_document_tree

google.cloud.documentai_toolbox.utilities.gcs_utilities.print_gcs_document_tree

print_gcs_document_tree(
    gcs_bucket_name: str, gcs_prefix: str, files_to_display: int = 4
) -> None

Prints a tree of filenames in a Cloud Storage folder.

See more: google.cloud.documentai_toolbox.utilities.gcs_utilities.print_gcs_document_tree

google.cloud.documentai_toolbox.utilities.gcs_utilities.split_gcs_uri

split_gcs_uri(gcs_uri: str) -> typing.Tuple[str, str]

Splits a Cloud Storage uri into the bucket_name and prefix.

See more: google.cloud.documentai_toolbox.utilities.gcs_utilities.split_gcs_uri

google.cloud.documentai_toolbox.utilities.gcs_utilities.upload_file

upload_file(
    gcs_output_directory: str,
    file_name: str,
    file_content: str,
    content_type: str = "application/json",
    module: typing.Optional[str] = "upload-file",
) -> None

Uploads the converted docproto to gcs.

See more: google.cloud.documentai_toolbox.utilities.gcs_utilities.upload_file

google.cloud.documentai_toolbox.wrappers.document._apply_text_offset

_apply_text_offset(
    documentai_object: typing.Union[typing.Dict[str, typing.Dict], typing.List],
    text_offset: int,
) -> None

Applies a text offset to all text_segments in documentai_object.

See more: google.cloud.documentai_toolbox.wrappers.document._apply_text_offset

google.cloud.documentai_toolbox.wrappers.document._bigquery_column_name

_bigquery_column_name(input_string: str) -> str

Converts a string into a BigQuery column name.

See more: google.cloud.documentai_toolbox.wrappers.document._bigquery_column_name

google.cloud.documentai_toolbox.wrappers.document._dict_to_bigquery

_dict_to_bigquery(
    dic: typing.Dict[str, typing.Union[str, typing.List[str]]],
    dataset_name: str,
    table_name: str,
    project_id: typing.Optional[str],
) -> google.cloud.bigquery.job.load.LoadJob

Loads dictionary to a BigQuery table.

See more: google.cloud.documentai_toolbox.wrappers.document._dict_to_bigquery

google.cloud.documentai_toolbox.wrappers.document._entities_from_shards

_entities_from_shards(
    shards: typing.List[google.cloud.documentai_v1.types.document.Document],
) -> typing.List[google.cloud.documentai_toolbox.wrappers.entity.Entity]

Returns a list of Entities and Properties from a list of documentai.Document shards.

See more: google.cloud.documentai_toolbox.wrappers.document._entities_from_shards

google.cloud.documentai_toolbox.wrappers.document._get_batch_process_metadata

_get_batch_process_metadata(
    operation_name: str,
    location: typing.Optional[str] = None,
    timeout: typing.Optional[float] = None,
) -> google.cloud.documentai_v1.types.document_processor_service.BatchProcessMetadata

Get BatchProcessMetadata from a batch_process_documents() long-running operation.

See more: google.cloud.documentai_toolbox.wrappers.document._get_batch_process_metadata

google.cloud.documentai_toolbox.wrappers.document._get_shards

_get_shards(
    gcs_bucket_name: str, gcs_prefix: str
) -> typing.List[google.cloud.documentai_v1.types.document.Document]

Returns a list of documentai.Document shards from a Cloud Storage folder.

See more: google.cloud.documentai_toolbox.wrappers.document._get_shards

google.cloud.documentai_toolbox.wrappers.document._insert_into_dictionary_with_list

_insert_into_dictionary_with_list(
    dic: typing.Dict[str, typing.Union[str, typing.List[str]]], key: str, value: str
) -> typing.Dict[str, typing.Union[str, typing.List[str]]]

Inserts value into a dictionary that can contain lists.

See more: google.cloud.documentai_toolbox.wrappers.document._insert_into_dictionary_with_list

google.cloud.documentai_toolbox.wrappers.document._pages_from_shards

_pages_from_shards(
    shards: typing.List[google.cloud.documentai_v1.types.document.Document],
) -> typing.List[google.cloud.documentai_toolbox.wrappers.page.Page]

Returns a list of Pages from a list of documentai.Document shards.

See more: google.cloud.documentai_toolbox.wrappers.document._pages_from_shards

google.cloud.documentai_toolbox.wrappers.page._get_children_of_element

_get_children_of_element(
    element: typing.Union[
        google.cloud.documentai_v1.types.document.Document.Page.Paragraph,
        google.cloud.documentai_v1.types.document.Document.Page,
        google.cloud.documentai_v1.types.document.Document.Page.Token,
        google.cloud.documentai_v1.types.document.Document.Page.Block,
        google.cloud.documentai_v1.types.document.Document.Page.Symbol,
    ],
    children: typing.List[
        typing.Union[
            google.cloud.documentai_v1.types.document.Document.Page.Paragraph,
            google.cloud.documentai_v1.types.document.Document.Page,
            google.cloud.documentai_v1.types.document.Document.Page.Token,
            google.cloud.documentai_v1.types.document.Document.Page.Block,
            google.cloud.documentai_v1.types.document.Document.Page.Symbol,
        ]
    ],
) -> typing.List[
    typing.Union[
        google.cloud.documentai_v1.types.document.Document.Page.Paragraph,
        google.cloud.documentai_v1.types.document.Document.Page,
        google.cloud.documentai_v1.types.document.Document.Page.Token,
        google.cloud.documentai_v1.types.document.Document.Page.Block,
        google.cloud.documentai_v1.types.document.Document.Page.Symbol,
    ]
]

Returns a list of children inside element.

See more: google.cloud.documentai_toolbox.wrappers.page._get_children_of_element

google.cloud.documentai_toolbox.wrappers.page._get_hocr_bounding_box

_get_hocr_bounding_box(
    element_with_layout: typing.Union[
        google.cloud.documentai_v1.types.document.Document.Page.Paragraph,
        google.cloud.documentai_v1.types.document.Document.Page,
        google.cloud.documentai_v1.types.document.Document.Page.Token,
        google.cloud.documentai_v1.types.document.Document.Page.Block,
        google.cloud.documentai_v1.types.document.Document.Page.Symbol,
    ],
    page_dimension: google.cloud.documentai_v1.types.document.Document.Page.Dimension,
) -> typing.Optional[str]

Returns a hOCR bounding box string.

See more: google.cloud.documentai_toolbox.wrappers.page._get_hocr_bounding_box

google.cloud.documentai_toolbox.wrappers.page._table_rows_from_documentai_table_rows

_table_rows_from_documentai_table_rows(
    table_rows: typing.List[
        google.cloud.documentai_v1.types.document.Document.Page.Table.TableRow
    ],
    text: str,
) -> typing.List[typing.List[str]]

Returns a list of rows from table_rows.

See more: google.cloud.documentai_toolbox.wrappers.page._table_rows_from_documentai_table_rows

google.cloud.documentai_toolbox.wrappers.page._text_from_layout

_text_from_layout(
    layout: google.cloud.documentai_v1.types.document.Document.Page.Layout, text: str
) -> str

Returns a text from a single layout element.

See more: google.cloud.documentai_toolbox.wrappers.page._text_from_layout

google.cloud.documentai_toolbox.wrappers.page._trim_text

_trim_text(text: str) -> str

Remove extra space characters from text (blank, newline, tab, etc.) .

See more: google.cloud.documentai_toolbox.wrappers.page._trim_text

google.cloud.documentai_toolbox.wrappers.document.Document.convert_document_to_annotate_file_json_response

convert_document_to_annotate_file_json_response() -> str

Convert OCR data from Document.proto to JSON str of AnnotateFileResponse for Vision API.

See more: google.cloud.documentai_toolbox.wrappers.document.Document.convert_document_to_annotate_file_json_response

google.cloud.documentai_toolbox.wrappers.document.Document.convert_document_to_annotate_file_response

convert_document_to_annotate_file_response() -> (
    google.cloud.vision_v1.types.image_annotator.AnnotateFileResponse
)

Convert OCR data from Document.proto to AnnotateFileResponse.proto for Vision API.

See more: google.cloud.documentai_toolbox.wrappers.document.Document.convert_document_to_annotate_file_response

google.cloud.documentai_toolbox.wrappers.document.Document.entities_to_bigquery

entities_to_bigquery(
    dataset_name: str, table_name: str, project_id: typing.Optional[str] = None
) -> google.cloud.bigquery.job.load.LoadJob

Adds extracted entities to a BigQuery table.

See more: google.cloud.documentai_toolbox.wrappers.document.Document.entities_to_bigquery

google.cloud.documentai_toolbox.wrappers.document.Document.entities_to_dict

entities_to_dict() -> typing.Dict[str, typing.Union[str, typing.List[str]]]

Returns Dictionary of entities in document.

See more: google.cloud.documentai_toolbox.wrappers.document.Document.entities_to_dict

google.cloud.documentai_toolbox.wrappers.document.Document.export_hocr_str

export_hocr_str(title: str) -> str

Exports a string hOCR version of the Document.

See more: google.cloud.documentai_toolbox.wrappers.document.Document.export_hocr_str

google.cloud.documentai_toolbox.wrappers.document.Document.export_images

export_images(
    output_path: str, output_file_prefix: str, output_file_extension: str
) -> typing.List[str]

Exports images from Document.entities to files.

See more: google.cloud.documentai_toolbox.wrappers.document.Document.export_images

google.cloud.documentai_toolbox.wrappers.document.Document.form_fields_to_bigquery

form_fields_to_bigquery(
    dataset_name: str, table_name: str, project_id: typing.Optional[str] = None
) -> google.cloud.bigquery.job.load.LoadJob

Adds extracted form fields to a BigQuery table.

See more: google.cloud.documentai_toolbox.wrappers.document.Document.form_fields_to_bigquery

google.cloud.documentai_toolbox.wrappers.document.Document.form_fields_to_dict

form_fields_to_dict() -> typing.Dict[str, typing.Union[str, typing.List[str]]]

Returns dictionary of form fields in document.

See more: google.cloud.documentai_toolbox.wrappers.document.Document.form_fields_to_dict

google.cloud.documentai_toolbox.wrappers.document.Document.from_batch_process_metadata

from_batch_process_metadata(
    metadata: google.cloud.documentai_v1.types.document_processor_service.BatchProcessMetadata,
) -> typing.List[google.cloud.documentai_toolbox.wrappers.document.Document]

Loads Documents from Cloud Storage, using the output from BatchProcessMetadata.

See more: google.cloud.documentai_toolbox.wrappers.document.Document.from_batch_process_metadata

google.cloud.documentai_toolbox.wrappers.document.Document.from_batch_process_operation

from_batch_process_operation(
    location: str, operation_name: str, timeout: typing.Optional[float] = None
) -> typing.List[google.cloud.documentai_toolbox.wrappers.document.Document]

Loads Documents from Cloud Storage, using the operation name returned from batch_process_documents().

See more: google.cloud.documentai_toolbox.wrappers.document.Document.from_batch_process_operation

google.cloud.documentai_toolbox.wrappers.document.Document.from_document_path

from_document_path(
    document_path: str,
) -> google.cloud.documentai_toolbox.wrappers.document.Document

Loads Document from local document_path.

See more: google.cloud.documentai_toolbox.wrappers.document.Document.from_document_path

google.cloud.documentai_toolbox.wrappers.document.Document.from_documentai_document

from_documentai_document(
    documentai_document: google.cloud.documentai_v1.types.document.Document,
) -> google.cloud.documentai_toolbox.wrappers.document.Document

Loads Document from local documentai_document.

See more: google.cloud.documentai_toolbox.wrappers.document.Document.from_documentai_document

google.cloud.documentai_toolbox.wrappers.document.Document.from_gcs

from_gcs(
    gcs_bucket_name: str, gcs_prefix: str, gcs_input_uri: typing.Optional[str] = None
) -> google.cloud.documentai_toolbox.wrappers.document.Document

Loads a Document from a Cloud Storage directory.

See more: google.cloud.documentai_toolbox.wrappers.document.Document.from_gcs

google.cloud.documentai_toolbox.wrappers.document.Document.from_gcs_uri

from_gcs_uri(
    gcs_uri: str, gcs_input_uri: typing.Optional[str] = None
) -> google.cloud.documentai_toolbox.wrappers.document.Document

Loads a Document from a Cloud Storage uri.

See more: google.cloud.documentai_toolbox.wrappers.document.Document.from_gcs_uri

google.cloud.documentai_toolbox.wrappers.document.Document.get_entity_by_type

get_entity_by_type(
    target_type: str,
) -> typing.List[google.cloud.documentai_toolbox.wrappers.entity.Entity]

Returns the list of Entities of target_type.

See more: google.cloud.documentai_toolbox.wrappers.document.Document.get_entity_by_type

google.cloud.documentai_toolbox.wrappers.document.Document.get_form_field_by_name

get_form_field_by_name(
    target_field: str,
) -> typing.List[google.cloud.documentai_toolbox.wrappers.page.FormField]

Returns the list of FormFields named target_field.

See more: google.cloud.documentai_toolbox.wrappers.document.Document.get_form_field_by_name

google.cloud.documentai_toolbox.wrappers.document.Document.search_pages

search_pages(
    target_string: typing.Optional[str] = None, pattern: typing.Optional[str] = None
) -> typing.List[google.cloud.documentai_toolbox.wrappers.page.Page]

Returns the list of Pages containing target_string or text matching pattern.

See more: google.cloud.documentai_toolbox.wrappers.document.Document.search_pages

google.cloud.documentai_toolbox.wrappers.document.Document.split_pdf

split_pdf(pdf_path: str, output_path: str) -> typing.List[str]

Splits local PDF file into multiple PDF files based on output from a Splitter/Classifier processor.

See more: google.cloud.documentai_toolbox.wrappers.document.Document.split_pdf

google.cloud.documentai_toolbox.wrappers.document.Document.to_merged_documentai_document

to_merged_documentai_document() -> (
    google.cloud.documentai_v1.types.document.Document
)

Exports a documentai.Document from the wrapped document with shards merged.

See more: google.cloud.documentai_toolbox.wrappers.document.Document.to_merged_documentai_document

google.cloud.documentai_toolbox.wrappers.entity.Entity.crop_image

crop_image(
    documentai_page: google.cloud.documentai_v1.types.document.Document.Page,
) -> typing.Optional[PIL.Image.Image]

Return image cropped from page image for detected entity.

See more: google.cloud.documentai_toolbox.wrappers.entity.Entity.crop_image

google.cloud.documentai_toolbox.wrappers.page.Page._get_elements

_get_elements(element_type: typing.Type, attribute_name: str) -> typing.List

Helper method to create elements based on specified type.

See more: google.cloud.documentai_toolbox.wrappers.page.Page._get_elements

google.cloud.documentai_toolbox.wrappers.page.Table.to_dataframe

to_dataframe() -> pandas.core.frame.DataFrame

Returns pd.DataFrame from documentai.table .

See more: google.cloud.documentai_toolbox.wrappers.page.Table.to_dataframe