# This is an automatically generated code sample.
# To make this code sample work in your Oracle Cloud tenancy,
# please replace the values for any parameters whose current values do not fit
# your use case (such as resource IDs, strings containing ‘EXAMPLE’ or ‘unique_id’, and
# boolean, number, and enum parameters with values not fitting your use case).

from datetime import datetime
import oci

# Create a default config using DEFAULT profile in default location
# Refer to
# https://docs.cloud.oracle.com/en-us/iaas/Content/API/Concepts/sdkconfig.htm#SDK_and_CLI_Configuration_File
# for more info
config = oci.config.from_file()


# Initialize service client with default config file
ai_document_client = oci.ai_document.AIServiceDocumentClient(config)


# Send the request to service, some parameters are not required, see API
# doc for more info
analyze_document_response = ai_document_client.analyze_document(
    analyze_document_details=oci.ai_document.models.AnalyzeDocumentDetails(
        features=[
            oci.ai_document.models.DocumentTextExtractionFeature(
                feature_type="TEXT_EXTRACTION",
                generate_searchable_pdf=True)],
        document=oci.ai_document.models.InlineDocumentDetails(
            source="INLINE",
            data="rV0P62f1LavsKYUfSVDf"),
        compartment_id="ocid1.test.oc1..<unique_ID>EXAMPLE-compartmentId-Value",
        output_location=oci.ai_document.models.OutputLocation(
            namespace_name="EXAMPLE-namespaceName-Value",
            bucket_name="EXAMPLE-bucketName-Value",
            prefix="EXAMPLE-prefix-Value"),
        language="EXAMPLE-language-Value",
        document_type="RESUME",
        ocr_data=oci.ai_document.models.AnalyzeDocumentResult(
            document_metadata=oci.ai_document.models.DocumentMetadata(
                page_count=972,
                mime_type="EXAMPLE-mimeType-Value"),
            pages=[
                oci.ai_document.models.Page(
                    page_number=825,
                    dimensions=oci.ai_document.models.Dimensions(
                        width=5597.337,
                        height=7137.1055,
                        unit="PIXEL"),
                    detected_document_types=[
                        oci.ai_document.models.DetectedDocumentType(
                            document_type="EXAMPLE-documentType-Value",
                            confidence=0.19541651)],
                    detected_languages=[
                        oci.ai_document.models.DetectedLanguage(
                            language="EXAMPLE-language-Value",
                            confidence=0.79712635)],
                    words=[
                        oci.ai_document.models.Word(
                            text="EXAMPLE-text-Value",
                            confidence=0.9629695,
                            bounding_polygon=oci.ai_document.models.BoundingPolygon(
                                normalized_vertices=[
                                    oci.ai_document.models.NormalizedVertex(
                                        x=0.43590617,
                                        y=0.56785935)]))],
                    lines=[
                        oci.ai_document.models.Line(
                            text="EXAMPLE-text-Value",
                            confidence=0.071392,
                            bounding_polygon=oci.ai_document.models.BoundingPolygon(
                                normalized_vertices=[
                                    oci.ai_document.models.NormalizedVertex(
                                        x=0.6321008,
                                        y=0.1555137)]),
                            word_indexes=[99])],
                    tables=[
                        oci.ai_document.models.Table(
                            row_count=451,
                            column_count=363,
                            header_rows=[
                                oci.ai_document.models.TableRow(
                                    cells=[
                                        oci.ai_document.models.Cell(
                                            text="EXAMPLE-text-Value",
                                            row_index=100,
                                            column_index=996,
                                            confidence=0.55034184,
                                            bounding_polygon=oci.ai_document.models.BoundingPolygon(
                                                normalized_vertices=[
                                                    oci.ai_document.models.NormalizedVertex(
                                                        x=0.17865944,
                                                        y=0.5997238)]),
                                            word_indexes=[498])])],
                            confidence=0.7910629,
                            bounding_polygon=oci.ai_document.models.BoundingPolygon(
                                normalized_vertices=[
                                    oci.ai_document.models.NormalizedVertex(
                                        x=0.8503256,
                                        y=0.972577)]))],
                    document_fields=[
                        oci.ai_document.models.DocumentField(
                            field_type="LINE_ITEM_FIELD",
                            field_value=oci.ai_document.models.ValueDate(
                                value_type="DATE",
                                confidence=0.6491414,
                                bounding_polygon=oci.ai_document.models.BoundingPolygon(
                                    normalized_vertices=[
                                        oci.ai_document.models.NormalizedVertex(
                                            x=0.5260045,
                                            y=0.67866457)]),
                                word_indexes=[811],
                                value=datetime.strptime(
                                    "2023-07-17T14:01:50.312Z",
                                    "%Y-%m-%dT%H:%M:%S.%fZ"),
                                text="EXAMPLE-text-Value"),
                            field_label=oci.ai_document.models.FieldLabel(
                                name="EXAMPLE-name-Value",
                                confidence=0.87386376),
                            field_name=oci.ai_document.models.FieldName(
                                name="EXAMPLE-name-Value",
                                confidence=0.41928542,
                                bounding_polygon=oci.ai_document.models.BoundingPolygon(
                                    normalized_vertices=[
                                        oci.ai_document.models.NormalizedVertex(
                                            x=0.33267272,
                                            y=0.29615927)]),
                                word_indexes=[919]))])],
            detected_document_types=[
                oci.ai_document.models.DetectedDocumentType(
                    document_type="EXAMPLE-documentType-Value",
                    confidence=0.54375917)],
            detected_languages=[
                oci.ai_document.models.DetectedLanguage(
                    language="EXAMPLE-language-Value",
                    confidence=0.4496519)],
            document_classification_model_version="EXAMPLE-documentClassificationModelVersion-Value",
            language_classification_model_version="EXAMPLE-languageClassificationModelVersion-Value",
            text_extraction_model_version="EXAMPLE-textExtractionModelVersion-Value",
            key_value_extraction_model_version="EXAMPLE-keyValueExtractionModelVersion-Value",
            table_extraction_model_version="EXAMPLE-tableExtractionModelVersion-Value",
            errors=[
                oci.ai_document.models.ProcessingError(
                    code="EXAMPLE-code-Value",
                    message="EXAMPLE-message-Value")],
            searchable_pdf="swzxWkajMaFbgLX5S2Aw")),
    if_match="EXAMPLE-ifMatch-Value",
    opc_request_id="RBW9FP7JE2JKQBFCBOXM<unique_ID>")

# Get the data from response
print(analyze_document_response.data)

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