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gcp_documentai_processor_version

`ancestors`

Type: UNORDERED_LIST_STRING

`create_time`

Type: TIMESTAMP
Provider name: createTime
Description: Output only. The time the processor version was created.

`deprecation_info`

Type: STRUCT
Provider name: deprecationInfo
Description: Output only. If set, information about the eventual deprecation of this version.

deprecation_time
Type: TIMESTAMP
Provider name: deprecationTime
Description: The time at which this processor version will be deprecated.
replacement_processor_version
Type: STRING
Provider name: replacementProcessorVersion
Description: If set, the processor version that will be used as a replacement.

`document_schema`

Type: STRUCT
Provider name: documentSchema
Description: Output only. The schema of the processor version. Describes the output.

description
Type: STRING
Provider name: description
Description: Description of the schema.
entity_types
Type: UNORDERED_LIST_STRUCT
Provider name: entityTypes
Description: Entity types of the schema.
- base_types
  Type: UNORDERED_LIST_STRING
  Provider name: baseTypes
  Description: The entity type that this type is derived from. For now, one and only one should be set.
- enum_values
  Type: STRUCT
  Provider name: enumValues
  Description: If specified, lists all the possible values for this entity. This should not be more than a handful of values. If the number of values is >10 or could change frequently use the EntityType.value_ontology field and specify a list of all possible values in a value ontology file.
  - values
    Type: UNORDERED_LIST_STRING
    Provider name: values
    Description: The individual values that this enum values type can include.
- gcp_display_name
  Type: STRING
  Provider name: displayName
  Description: User defined name for the type.
- name
  Type: STRING
  Provider name: name
  Description: Name of the type. It must be unique within the schema file and cannot be a “Common Type”. The following naming conventions are used: - Use snake_casing. - Name matching is case-sensitive. - Maximum 64 characters. - Must start with a letter. - Allowed characters: ASCII letters [a-z0-9_-]. (For backward compatibility internal infrastructure and tooling can handle any ascii character.) - The / is sometimes used to denote a property of a type. For example line_item/amount. This convention is deprecated, but will still be honored for backward compatibility.
- properties
  Type: UNORDERED_LIST_STRUCT
  Provider name: properties
  Description: Description the nested structure, or composition of an entity.
  - gcp_display_name
    Type: STRING
    Provider name: displayName
    Description: User defined name for the property.
  - method
    Type: STRING
    Provider name: method
    Description: Specifies how the entity’s value is obtained.
    Possible values:
    - METHOD_UNSPECIFIED - Unspecified method. It defaults to EXTRACT.
    - EXTRACT - The entity’s value is directly extracted as-is from the document text.
    - DERIVE - The entity’s value is derived through inference and is not necessarily an exact text extraction from the document.
  - name
    Type: STRING
    Provider name: name
    Description: The name of the property. Follows the same guidelines as the EntityType name.
  - occurrence_type
    Type: STRING
    Provider name: occurrenceType
    Description: Occurrence type limits the number of instances an entity type appears in the document.
    Possible values:
    - OCCURRENCE_TYPE_UNSPECIFIED - Unspecified occurrence type.
    - OPTIONAL_ONCE - There will be zero or one instance of this entity type. The same entity instance may be mentioned multiple times.
    - OPTIONAL_MULTIPLE - The entity type will appear zero or multiple times.
    - REQUIRED_ONCE - The entity type will only appear exactly once. The same entity instance may be mentioned multiple times.
    - REQUIRED_MULTIPLE - The entity type will appear once or more times.
  - value_type
    Type: STRING
    Provider name: valueType
    Description: A reference to the value type of the property. This type is subject to the same conventions as the Entity.base_types field.
gcp_display_name
Type: STRING
Provider name: displayName
Description: Display name to show to users.
metadata
Type: STRUCT
Provider name: metadata
Description: Metadata of the schema.
- document_allow_multiple_labels
  Type: BOOLEAN
  Provider name: documentAllowMultipleLabels
  Description: If true, on a given page, there can be multiple document annotations covering it.
- document_splitter
  Type: BOOLEAN
  Provider name: documentSplitter
  Description: If true, a document entity type can be applied to subdocument (splitting). Otherwise, it can only be applied to the entire document (classification).
- prefixed_naming_on_properties
  Type: BOOLEAN
  Provider name: prefixedNamingOnProperties
  Description: If set, all the nested entities must be prefixed with the parents.
- skip_naming_validation
  Type: BOOLEAN
  Provider name: skipNamingValidation
  Description: If set, we will skip the naming format validation in the schema. So the string values in DocumentSchema.EntityType.name and DocumentSchema.EntityType.Property.name will not be checked.

`gcp_display_name`

Type: STRING
Provider name: displayName
Description: The display name of the processor version.

`gen_ai_model_info`

Type: STRUCT
Provider name: genAiModelInfo
Description: Output only. Information about Generative AI model-based processor versions.

custom_gen_ai_model_info
Type: STRUCT
Provider name: customGenAiModelInfo
Description: Information for a custom Generative AI model created by the user.
- base_processor_version_id
  Type: STRING
  Provider name: baseProcessorVersionId
  Description: The base processor version ID for the custom model.
- custom_model_type
  Type: STRING
  Provider name: customModelType
  Description: The type of custom model created by the user.
  Possible values:
  - CUSTOM_MODEL_TYPE_UNSPECIFIED - The model type is unspecified.
  - VERSIONED_FOUNDATION - The model is a versioned foundation model.
  - FINE_TUNED - The model is a finetuned foundation model.
foundation_gen_ai_model_info
Type: STRUCT
Provider name: foundationGenAiModelInfo
Description: Information for a pretrained Google-managed foundation model.
- finetuning_allowed
  Type: BOOLEAN
  Provider name: finetuningAllowed
  Description: Whether finetuning is allowed for this base processor version.
- min_train_labeled_documents
  Type: INT32
  Provider name: minTrainLabeledDocuments
  Description: The minimum number of labeled documents in the training dataset required for finetuning.

`google_managed`

Type: BOOLEAN
Provider name: googleManaged
Description: Output only. Denotes that this ProcessorVersion is managed by Google.

`kms_key_name`

Type: STRING
Provider name: kmsKeyName
Description: Output only. The KMS key name used for encryption.

`kms_key_version_name`

Type: STRING
Provider name: kmsKeyVersionName
Description: Output only. The KMS key version with which data is encrypted.

`labels`

Type: UNORDERED_LIST_STRING

`latest_evaluation`

Type: STRUCT
Provider name: latestEvaluation
Description: Output only. The most recently invoked evaluation for the processor version.

aggregate_metrics
Type: STRUCT
Provider name: aggregateMetrics
Description: An aggregate of the statistics for the evaluation with fuzzy matching on.
- f1_score
  Type: FLOAT
  Provider name: f1Score
  Description: The calculated f1 score.
- false_negatives_count
  Type: INT32
  Provider name: falseNegativesCount
  Description: The amount of false negatives.
- false_positives_count
  Type: INT32
  Provider name: falsePositivesCount
  Description: The amount of false positives.
- ground_truth_document_count
  Type: INT32
  Provider name: groundTruthDocumentCount
  Description: The amount of documents with a ground truth occurrence.
- ground_truth_occurrences_count
  Type: INT32
  Provider name: groundTruthOccurrencesCount
  Description: The amount of occurrences in ground truth documents.
- precision
  Type: FLOAT
  Provider name: precision
  Description: The calculated precision.
- predicted_document_count
  Type: INT32
  Provider name: predictedDocumentCount
  Description: The amount of documents with a predicted occurrence.
- predicted_occurrences_count
  Type: INT32
  Provider name: predictedOccurrencesCount
  Description: The amount of occurrences in predicted documents.
- recall
  Type: FLOAT
  Provider name: recall
  Description: The calculated recall.
- total_documents_count
  Type: INT32
  Provider name: totalDocumentsCount
  Description: The amount of documents that had an occurrence of this label.
- true_positives_count
  Type: INT32
  Provider name: truePositivesCount
  Description: The amount of true positives.
aggregate_metrics_exact
Type: STRUCT
Provider name: aggregateMetricsExact
Description: An aggregate of the statistics for the evaluation with fuzzy matching off.
- f1_score
  Type: FLOAT
  Provider name: f1Score
  Description: The calculated f1 score.
- false_negatives_count
  Type: INT32
  Provider name: falseNegativesCount
  Description: The amount of false negatives.
- false_positives_count
  Type: INT32
  Provider name: falsePositivesCount
  Description: The amount of false positives.
- ground_truth_document_count
  Type: INT32
  Provider name: groundTruthDocumentCount
  Description: The amount of documents with a ground truth occurrence.
- ground_truth_occurrences_count
  Type: INT32
  Provider name: groundTruthOccurrencesCount
  Description: The amount of occurrences in ground truth documents.
- precision
  Type: FLOAT
  Provider name: precision
  Description: The calculated precision.
- predicted_document_count
  Type: INT32
  Provider name: predictedDocumentCount
  Description: The amount of documents with a predicted occurrence.
- predicted_occurrences_count
  Type: INT32
  Provider name: predictedOccurrencesCount
  Description: The amount of occurrences in predicted documents.
- recall
  Type: FLOAT
  Provider name: recall
  Description: The calculated recall.
- total_documents_count
  Type: INT32
  Provider name: totalDocumentsCount
  Description: The amount of documents that had an occurrence of this label.
- true_positives_count
  Type: INT32
  Provider name: truePositivesCount
  Description: The amount of true positives.
evaluation
Type: STRING
Provider name: evaluation
Description: The resource name of the evaluation.
operation
Type: STRING
Provider name: operation
Description: The resource name of the Long Running Operation for the evaluation.

`model_type`

Type: STRING
Provider name: modelType
Description: Output only. The model type of this processor version.
Possible values:

MODEL_TYPE_UNSPECIFIED - The processor version has unspecified model type.
MODEL_TYPE_GENERATIVE - The processor version has generative model type.
MODEL_TYPE_CUSTOM - The processor version has custom model type.

`name`

Type: STRING
Provider name: name
Description: Identifier. The resource name of the processor version. Format: projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processor_version}

`organization_id`

Type: STRING

`parent`

Type: STRING

`project_id`

Type: STRING

`project_number`

Type: STRING

`resource_name`

Type: STRING

`satisfies_pzi`

Type: BOOLEAN
Provider name: satisfiesPzi
Description: Output only. Reserved for future use.

`satisfies_pzs`

Type: BOOLEAN
Provider name: satisfiesPzs
Description: Output only. Reserved for future use.

`state`

Type: STRING
Provider name: state
Description: Output only. The state of the processor version.
Possible values:

STATE_UNSPECIFIED - The processor version is in an unspecified state.
DEPLOYED - The processor version is deployed and can be used for processing.
DEPLOYING - The processor version is being deployed.
UNDEPLOYED - The processor version is not deployed and cannot be used for processing.
UNDEPLOYING - The processor version is being undeployed.
CREATING - The processor version is being created.
DELETING - The processor version is being deleted.
FAILED - The processor version failed and is in an indeterminate state.
IMPORTING - The processor version is being imported.

`tags`

Type: UNORDERED_LIST_STRING