Data Source: oci_ai_document_processor_job

This data source provides details about a specific Processor Job resource in Oracle Cloud Infrastructure Ai Document service.

Get the details of a processor job.

Example Usage

data "oci_ai_document_processor_job" "test_processor_job" {
	#Required
	processor_job_id = oci_ai_document_processor_job.test_processor_job.id
}

Argument Reference

The following arguments are supported:

• processor_job_id - (Required) Processor job id.

Attributes Reference

The following attributes are exported:

• compartment_id - The compartment identifier.
• display_name - The display name of the processor job.
• id - The id of the processor job.
• input_location - The location of the inputs.
  • data - Raw document data with Base64 encoding.
  • object_locations - The list of ObjectLocations.
    • bucket - The Object Storage bucket name.
    • namespace - The Object Storage namespace name.
    • object - The Object Storage object name.
    • page_range - The page ranges to be analysed.
  • page_range - The page ranges to be analysed.
  • source_type - The type of input location. The allowed values are:
    • OBJECT_STORAGE_LOCATIONS: A list of object locations in Object Storage.
    • INLINE_DOCUMENT_CONTENT: The content of an inline document.
• lifecycle_details - The detailed status of FAILED state.
• output_location - The object storage location where to store analysis results.
  • bucket - The Object Storage bucket name.
  • namespace - The Object Storage namespace.
  • prefix - The Object Storage folder name.
• percent_complete - How much progress the operation has made, compared to the total amount of work to be performed.
• processor_config - The configuration of a processor.
  • document_type - The document type.
  • features - The types of document analysis requested.
    • feature_type - The type of document analysis requested. The allowed values are:
      • LANGUAGE_CLASSIFICATION: Detect the language.
      • TEXT_EXTRACTION: Recognize text.
      • TABLE_EXTRACTION: Detect and extract data in tables.
      • KEY_VALUE_EXTRACTION: Extract form fields.
      • DOCUMENT_CLASSIFICATION: Identify the type of document.
      • DOCUMENT_ELEMENTS_EXTRACTION: Extract information from bar code
    • generate_searchable_pdf - Whether or not to generate a searchable PDF file.
    • max_results - The maximum number of results to return.
    • model_id - Unique identifier custom model OCID that should be used for inference.
    • selection_mark_detection - Whether checkbox detection feature is enabled or disabled.
    • tenancy_id - The custom model tenancy ID when modelId represents aliasName.
  • is_zip_output_enabled - Whether or not to generate a ZIP file containing the results.
  • language - The document language, abbreviated according to the BCP 47 Language-Tag syntax.
  • model_id - Unique identifier custom model OCID that should be used for inference.
  • normalization_fields - A string-to-object map where the key is the normalization field and the object contains information about the field.
    • map - A wrapped map.
      • normalization_type - A string mapping to the normalization type.
  • processor_type - The type of the processor.
• state - The current state of the processor job.
• time_accepted - The job acceptance time.
• time_finished - The job finish time.
• time_started - The job start time.