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AI / ML

AI

pyatlan.model.assets.core.a_i.AI(__pydantic_self__, **data: Any)

Bases: Catalog

Description

Source code in pyatlan/model/assets/core/referenceable.py 
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def __init__(__pydantic_self__, **data: Any) -> None:
    super().__init__(**data)
    __pydantic_self__.__fields_set__.update(["attributes", "type_name"])

Attributes

ETHICAL_AI_ACCOUNTABILITY_CONFIG: KeywordField = KeywordField('ethicalAIAccountabilityConfig', 'ethicalAIAccountabilityConfig') class-attribute

Accountability configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_BIAS_MITIGATION_CONFIG: KeywordField = KeywordField('ethicalAIBiasMitigationConfig', 'ethicalAIBiasMitigationConfig') class-attribute

Bias mitigation configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_ENVIRONMENTAL_CONSCIOUSNESS_CONFIG: KeywordField = KeywordField('ethicalAIEnvironmentalConsciousnessConfig', 'ethicalAIEnvironmentalConsciousnessConfig') class-attribute

Environmental consciousness configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_FAIRNESS_CONFIG: KeywordField = KeywordField('ethicalAIFairnessConfig', 'ethicalAIFairnessConfig') class-attribute

Fairness configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_PRIVACY_CONFIG: KeywordField = KeywordField('ethicalAIPrivacyConfig', 'ethicalAIPrivacyConfig') class-attribute

Privacy configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_RELIABILITY_AND_SAFETY_CONFIG: KeywordField = KeywordField('ethicalAIReliabilityAndSafetyConfig', 'ethicalAIReliabilityAndSafetyConfig') class-attribute

Reliability and safety configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_TRANSPARENCY_CONFIG: KeywordField = KeywordField('ethicalAITransparencyConfig', 'ethicalAITransparencyConfig') class-attribute

Transparency configuration for ensuring the ethical use of an AI asset

AIApplication

pyatlan.model.assets.core.a_i_application.AIApplication(__pydantic_self__, **data: Any)

Bases: AI

Description

Source code in pyatlan/model/assets/core/referenceable.py 
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def __init__(__pydantic_self__, **data: Any) -> None:
    super().__init__(**data)
    __pydantic_self__.__fields_set__.update(["attributes", "type_name"])

Attributes

AI_APPLICATION_DEVELOPMENT_STAGE: KeywordField = KeywordField('aiApplicationDevelopmentStage', 'aiApplicationDevelopmentStage') class-attribute

Development stage of the AI application

AI_APPLICATION_VERSION: KeywordField = KeywordField('aiApplicationVersion', 'aiApplicationVersion') class-attribute

Version of the AI application

MODELS: RelationField = RelationField('models') class-attribute

TBC

AIModel

pyatlan.model.assets.core.a_i_model.AIModel(__pydantic_self__, **data: Any)

Bases: AI

Description

Source code in pyatlan/model/assets/core/referenceable.py 
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def __init__(__pydantic_self__, **data: Any) -> None:
    super().__init__(**data)
    __pydantic_self__.__fields_set__.update(["attributes", "type_name"])

Attributes

AI_MODEL_DATASETS_DSL: TextField = TextField('aiModelDatasetsDSL', 'aiModelDatasetsDSL') class-attribute

Search DSL used to define which assets/datasets are part of the AI model.

AI_MODEL_STATUS: KeywordField = KeywordField('aiModelStatus', 'aiModelStatus') class-attribute

Status of the AI model.

AI_MODEL_VERSION: KeywordField = KeywordField('aiModelVersion', 'aiModelVersion') class-attribute

Version of the AI model.

AI_MODEL_VERSIONS: RelationField = RelationField('aiModelVersions') class-attribute

TBC

APPLICATIONS: RelationField = RelationField('applications') class-attribute

TBC

Functions

processes_batch_save(client, process_list: List[Process]) -> List classmethod

Saves a list of Process objects to Atlan in batches to optimize performance. We save the processes in batches of 20.

:param client: Atlan client instance for making API calls :param process_list: list of Process objects to save :returns: list of API responses from each batch save operation

Source code in pyatlan/model/assets/core/a_i_model.py 
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@classmethod
def processes_batch_save(cls, client, process_list: List[Process]) -> List:
    """
    Saves a list of Process objects to Atlan in batches to optimize performance.
    We save the processes in batches of 20.

    :param client: Atlan client instance for making API calls
    :param process_list: list of Process objects to save
    :returns: list of API responses from each batch save operation
    """
    batch_size = 20
    total_processes = len(process_list)
    responses = []

    for i in range(0, total_processes, batch_size):
        batch = process_list[i : i + batch_size]
        response = client.asset.save(batch)
        responses.append(response)

    return responses

processes_creator(ai_model: AIModel, dataset_dict: Dict[AIDatasetType, list]) -> List[Process] classmethod

Creates a list of Process objects representing the relationships between an AI model and its datasets.

:param ai_model: the AI model for which to create processes :param dataset_dict: dictionary mapping AI dataset types to lists of assets :returns: list of Process objects representing the AI model's data lineage :raises ValueError: when the AI model is missing required attributes (guid or name)

Source code in pyatlan/model/assets/core/a_i_model.py 
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@classmethod
def processes_creator(
    cls,
    ai_model: AIModel,
    dataset_dict: Dict[AIDatasetType, list],
) -> List[Process]:
    """
    Creates a list of Process objects representing the relationships between an AI model and its datasets.

    :param ai_model: the AI model for which to create processes
    :param dataset_dict: dictionary mapping AI dataset types to lists of assets
    :returns: list of Process objects representing the AI model's data lineage
    :raises ValueError: when the AI model is missing required attributes (guid or name)
    """
    if not ai_model.guid or not ai_model.name:
        raise ValueError("AI model must have both guid and name attributes")
    process_list = []
    for key, value_list in dataset_dict.items():
        for value in value_list:
            asset_type = Asset._convert_to_real_type_(value)
            if key == AIDatasetType.OUTPUT:
                process_name = f"{ai_model.name} -> {value.name}"
                process_created = Process.creator(
                    name=process_name,
                    connection_qualified_name="default/ai/dataset",
                    inputs=[AIModel.ref_by_guid(guid=ai_model.guid)],
                    outputs=[asset_type.ref_by_guid(guid=value.guid)],  # type: ignore
                    extra_hash_params={key.value},
                )
                process_created.ai_dataset_type = key
            else:
                process_name = f"{value.name} -> {ai_model.name}"
                process_created = Process.creator(
                    name=process_name,
                    connection_qualified_name="default/ai/dataset",
                    inputs=[asset_type.ref_by_guid(guid=value.guid)],  # type: ignore
                    outputs=[AIModel.ref_by_guid(guid=ai_model.guid)],
                    extra_hash_params={key.value},
                )
                process_created.ai_dataset_type = key
            process_list.append(process_created)

    return process_list

AIModelVersion

pyatlan.model.assets.core.a_i_model_version.AIModelVersion(__pydantic_self__, **data: Any)

Bases: AI

Description

Source code in pyatlan/model/assets/core/referenceable.py 
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def __init__(__pydantic_self__, **data: Any) -> None:
    super().__init__(**data)
    __pydantic_self__.__fields_set__.update(["attributes", "type_name"])

Attributes

AI_MODEL: RelationField = RelationField('aiModel') class-attribute

TBC

DatabricksAIModelContext

pyatlan.model.assets.core.databricks_a_i_model_context.DatabricksAIModelContext(__pydantic_self__, **data: Any)

Bases: AIModel

Description

Source code in pyatlan/model/assets/core/referenceable.py 
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def __init__(__pydantic_self__, **data: Any) -> None:
    super().__init__(**data)
    __pydantic_self__.__fields_set__.update(["attributes", "type_name"])

Attributes

AI_MODEL_DATASETS_DSL: TextField = TextField('aiModelDatasetsDSL', 'aiModelDatasetsDSL') class-attribute

Search DSL used to define which assets/datasets are part of the AI model.

AI_MODEL_STATUS: KeywordField = KeywordField('aiModelStatus', 'aiModelStatus') class-attribute

Status of the AI model.

AI_MODEL_VERSION: KeywordField = KeywordField('aiModelVersion', 'aiModelVersion') class-attribute

Version of the AI model.

CALCULATION_VIEW_NAME: KeywordTextField = KeywordTextField('calculationViewName', 'calculationViewName.keyword', 'calculationViewName') class-attribute

Simple name of the calculation view in which this SQL asset exists, or empty if it does not exist within a calculation view.

CALCULATION_VIEW_QUALIFIED_NAME: KeywordField = KeywordField('calculationViewQualifiedName', 'calculationViewQualifiedName') class-attribute

Unique name of the calculation view in which this SQL asset exists, or empty if it does not exist within a calculation view.

DATABASE_NAME: KeywordTextField = KeywordTextField('databaseName', 'databaseName.keyword', 'databaseName') class-attribute

Simple name of the database in which this SQL asset exists, or empty if it does not exist within a database.

DATABASE_QUALIFIED_NAME: KeywordField = KeywordField('databaseQualifiedName', 'databaseQualifiedName') class-attribute

Unique name of the database in which this SQL asset exists, or empty if it does not exist within a database.

DATABRICKS_AI_MODEL_CONTEXT_METASTORE_ID: KeywordField = KeywordField('databricksAIModelContextMetastoreId', 'databricksAIModelContextMetastoreId') class-attribute

The id of the model, common across versions.

DATABRICKS_AI_MODEL_SCHEMA: RelationField = RelationField('databricksAIModelSchema') class-attribute

TBC

DATABRICKS_AI_MODEL_VERSIONS: RelationField = RelationField('databricksAIModelVersions') class-attribute

TBC

DBT_MODELS: RelationField = RelationField('dbtModels') class-attribute

TBC

DBT_SEED_ASSETS: RelationField = RelationField('dbtSeedAssets') class-attribute

TBC

DBT_SOURCES: RelationField = RelationField('dbtSources') class-attribute

TBC

DBT_TESTS: RelationField = RelationField('dbtTests') class-attribute

TBC

ETHICAL_AI_ACCOUNTABILITY_CONFIG: KeywordField = KeywordField('ethicalAIAccountabilityConfig', 'ethicalAIAccountabilityConfig') class-attribute

Accountability configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_BIAS_MITIGATION_CONFIG: KeywordField = KeywordField('ethicalAIBiasMitigationConfig', 'ethicalAIBiasMitigationConfig') class-attribute

Bias mitigation configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_ENVIRONMENTAL_CONSCIOUSNESS_CONFIG: KeywordField = KeywordField('ethicalAIEnvironmentalConsciousnessConfig', 'ethicalAIEnvironmentalConsciousnessConfig') class-attribute

Environmental consciousness configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_FAIRNESS_CONFIG: KeywordField = KeywordField('ethicalAIFairnessConfig', 'ethicalAIFairnessConfig') class-attribute

Fairness configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_PRIVACY_CONFIG: KeywordField = KeywordField('ethicalAIPrivacyConfig', 'ethicalAIPrivacyConfig') class-attribute

Privacy configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_RELIABILITY_AND_SAFETY_CONFIG: KeywordField = KeywordField('ethicalAIReliabilityAndSafetyConfig', 'ethicalAIReliabilityAndSafetyConfig') class-attribute

Reliability and safety configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_TRANSPARENCY_CONFIG: KeywordField = KeywordField('ethicalAITransparencyConfig', 'ethicalAITransparencyConfig') class-attribute

Transparency configuration for ensuring the ethical use of an AI asset

IS_PROFILED: BooleanField = BooleanField('isProfiled', 'isProfiled') class-attribute

Whether this asset has been profiled (true) or not (false).

LAST_PROFILED_AT: NumericField = NumericField('lastProfiledAt', 'lastProfiledAt') class-attribute

Time (epoch) at which this asset was last profiled, in milliseconds.

QUERY_COUNT: NumericField = NumericField('queryCount', 'queryCount') class-attribute

Number of times this asset has been queried.

QUERY_COUNT_UPDATED_AT: NumericField = NumericField('queryCountUpdatedAt', 'queryCountUpdatedAt') class-attribute

Time (epoch) at which the query count was last updated, in milliseconds.

QUERY_USER_COUNT: NumericField = NumericField('queryUserCount', 'queryUserCount') class-attribute

Number of unique users who have queried this asset.

QUERY_USER_MAP: KeywordField = KeywordField('queryUserMap', 'queryUserMap') class-attribute

Map of unique users who have queried this asset to the number of times they have queried it.

SCHEMA_NAME: KeywordTextField = KeywordTextField('schemaName', 'schemaName.keyword', 'schemaName') class-attribute

Simple name of the schema in which this SQL asset exists, or empty if it does not exist within a schema.

SCHEMA_QUALIFIED_NAME: KeywordField = KeywordField('schemaQualifiedName', 'schemaQualifiedName') class-attribute

Unique name of the schema in which this SQL asset exists, or empty if it does not exist within a schema.

SQL_AI_MODEL_CONTEXT_QUALIFIED_NAME: KeywordField = KeywordField('sqlAIModelContextQualifiedName', 'sqlAIModelContextQualifiedName') class-attribute

Unique name of the context in which the model versions exist, or empty if it does not exist within an AI model context.

SQL_DBT_MODELS: RelationField = RelationField('sqlDbtModels') class-attribute

TBC

SQL_DBT_SOURCES: RelationField = RelationField('sqlDBTSources') class-attribute

TBC

SQL_IS_SECURE: BooleanField = BooleanField('sqlIsSecure', 'sqlIsSecure') class-attribute

Whether this asset is secure (true) or not (false).

TABLE_NAME: KeywordTextField = KeywordTextField('tableName', 'tableName.keyword', 'tableName') class-attribute

Simple name of the table in which this SQL asset exists, or empty if it does not exist within a table.

TABLE_QUALIFIED_NAME: KeywordField = KeywordField('tableQualifiedName', 'tableQualifiedName') class-attribute

Unique name of the table in which this SQL asset exists, or empty if it does not exist within a table.

VIEW_NAME: KeywordTextField = KeywordTextField('viewName', 'viewName.keyword', 'viewName') class-attribute

Simple name of the view in which this SQL asset exists, or empty if it does not exist within a view.

VIEW_QUALIFIED_NAME: KeywordField = KeywordField('viewQualifiedName', 'viewQualifiedName') class-attribute

Unique name of the view in which this SQL asset exists, or empty if it does not exist within a view.

DatabricksAIModelVersion

pyatlan.model.assets.core.databricks_a_i_model_version.DatabricksAIModelVersion(__pydantic_self__, **data: Any)

Bases: AIModelVersion

Description

Source code in pyatlan/model/assets/core/referenceable.py 
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def __init__(__pydantic_self__, **data: Any) -> None:
    super().__init__(**data)
    __pydantic_self__.__fields_set__.update(["attributes", "type_name"])

Attributes

CALCULATION_VIEW_NAME: KeywordTextField = KeywordTextField('calculationViewName', 'calculationViewName.keyword', 'calculationViewName') class-attribute

Simple name of the calculation view in which this SQL asset exists, or empty if it does not exist within a calculation view.

CALCULATION_VIEW_QUALIFIED_NAME: KeywordField = KeywordField('calculationViewQualifiedName', 'calculationViewQualifiedName') class-attribute

Unique name of the calculation view in which this SQL asset exists, or empty if it does not exist within a calculation view.

DATABASE_NAME: KeywordTextField = KeywordTextField('databaseName', 'databaseName.keyword', 'databaseName') class-attribute

Simple name of the database in which this SQL asset exists, or empty if it does not exist within a database.

DATABASE_QUALIFIED_NAME: KeywordField = KeywordField('databaseQualifiedName', 'databaseQualifiedName') class-attribute

Unique name of the database in which this SQL asset exists, or empty if it does not exist within a database.

DATABRICKS_AI_MODEL_CONTEXT: RelationField = RelationField('databricksAIModelContext') class-attribute

TBC

DATABRICKS_AI_MODEL_VERSION_ALIASES: KeywordField = KeywordField('databricksAIModelVersionAliases', 'databricksAIModelVersionAliases') class-attribute

The aliases of the model.

DATABRICKS_AI_MODEL_VERSION_ARTIFACT_URI: KeywordField = KeywordField('databricksAIModelVersionArtifactUri', 'databricksAIModelVersionArtifactUri') class-attribute

Artifact uri for the model.

DATABRICKS_AI_MODEL_VERSION_DATASET_COUNT: NumericField = NumericField('databricksAIModelVersionDatasetCount', 'databricksAIModelVersionDatasetCount') class-attribute

Number of datasets.

DATABRICKS_AI_MODEL_VERSION_ID: NumericField = NumericField('databricksAIModelVersionId', 'databricksAIModelVersionId') class-attribute

The id of the model, unique to every version.

DATABRICKS_AI_MODEL_VERSION_METRICS: KeywordField = KeywordField('databricksAIModelVersionMetrics', 'databricksAIModelVersionMetrics') class-attribute

Metrics for an individual experiment.

DATABRICKS_AI_MODEL_VERSION_PARAMS: KeywordField = KeywordField('databricksAIModelVersionParams', 'databricksAIModelVersionParams') class-attribute

Params with key mapped to value for an individual experiment.

DATABRICKS_AI_MODEL_VERSION_RUN_END_TIME: NumericField = NumericField('databricksAIModelVersionRunEndTime', 'databricksAIModelVersionRunEndTime') class-attribute

The run end time of the model.

DATABRICKS_AI_MODEL_VERSION_RUN_ID: KeywordField = KeywordField('databricksAIModelVersionRunId', 'databricksAIModelVersionRunId') class-attribute

The run id of the model.

DATABRICKS_AI_MODEL_VERSION_RUN_NAME: KeywordField = KeywordField('databricksAIModelVersionRunName', 'databricksAIModelVersionRunName') class-attribute

The run name of the model.

DATABRICKS_AI_MODEL_VERSION_RUN_START_TIME: NumericField = NumericField('databricksAIModelVersionRunStartTime', 'databricksAIModelVersionRunStartTime') class-attribute

The run start time of the model.

DATABRICKS_AI_MODEL_VERSION_SOURCE: KeywordField = KeywordField('databricksAIModelVersionSource', 'databricksAIModelVersionSource') class-attribute

Source artifact link for the model.

DATABRICKS_AI_MODEL_VERSION_STATUS: KeywordField = KeywordField('databricksAIModelVersionStatus', 'databricksAIModelVersionStatus') class-attribute

The status of the model.

DBT_MODELS: RelationField = RelationField('dbtModels') class-attribute

TBC

DBT_SEED_ASSETS: RelationField = RelationField('dbtSeedAssets') class-attribute

TBC

DBT_SOURCES: RelationField = RelationField('dbtSources') class-attribute

TBC

DBT_TESTS: RelationField = RelationField('dbtTests') class-attribute

TBC

ETHICAL_AI_ACCOUNTABILITY_CONFIG: KeywordField = KeywordField('ethicalAIAccountabilityConfig', 'ethicalAIAccountabilityConfig') class-attribute

Accountability configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_BIAS_MITIGATION_CONFIG: KeywordField = KeywordField('ethicalAIBiasMitigationConfig', 'ethicalAIBiasMitigationConfig') class-attribute

Bias mitigation configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_ENVIRONMENTAL_CONSCIOUSNESS_CONFIG: KeywordField = KeywordField('ethicalAIEnvironmentalConsciousnessConfig', 'ethicalAIEnvironmentalConsciousnessConfig') class-attribute

Environmental consciousness configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_FAIRNESS_CONFIG: KeywordField = KeywordField('ethicalAIFairnessConfig', 'ethicalAIFairnessConfig') class-attribute

Fairness configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_PRIVACY_CONFIG: KeywordField = KeywordField('ethicalAIPrivacyConfig', 'ethicalAIPrivacyConfig') class-attribute

Privacy configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_RELIABILITY_AND_SAFETY_CONFIG: KeywordField = KeywordField('ethicalAIReliabilityAndSafetyConfig', 'ethicalAIReliabilityAndSafetyConfig') class-attribute

Reliability and safety configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_TRANSPARENCY_CONFIG: KeywordField = KeywordField('ethicalAITransparencyConfig', 'ethicalAITransparencyConfig') class-attribute

Transparency configuration for ensuring the ethical use of an AI asset

IS_PROFILED: BooleanField = BooleanField('isProfiled', 'isProfiled') class-attribute

Whether this asset has been profiled (true) or not (false).

LAST_PROFILED_AT: NumericField = NumericField('lastProfiledAt', 'lastProfiledAt') class-attribute

Time (epoch) at which this asset was last profiled, in milliseconds.

QUERY_COUNT: NumericField = NumericField('queryCount', 'queryCount') class-attribute

Number of times this asset has been queried.

QUERY_COUNT_UPDATED_AT: NumericField = NumericField('queryCountUpdatedAt', 'queryCountUpdatedAt') class-attribute

Time (epoch) at which the query count was last updated, in milliseconds.

QUERY_USER_COUNT: NumericField = NumericField('queryUserCount', 'queryUserCount') class-attribute

Number of unique users who have queried this asset.

QUERY_USER_MAP: KeywordField = KeywordField('queryUserMap', 'queryUserMap') class-attribute

Map of unique users who have queried this asset to the number of times they have queried it.

SCHEMA_NAME: KeywordTextField = KeywordTextField('schemaName', 'schemaName.keyword', 'schemaName') class-attribute

Simple name of the schema in which this SQL asset exists, or empty if it does not exist within a schema.

SCHEMA_QUALIFIED_NAME: KeywordField = KeywordField('schemaQualifiedName', 'schemaQualifiedName') class-attribute

Unique name of the schema in which this SQL asset exists, or empty if it does not exist within a schema.

SQL_AI_MODEL_CONTEXT_QUALIFIED_NAME: KeywordField = KeywordField('sqlAIModelContextQualifiedName', 'sqlAIModelContextQualifiedName') class-attribute

Unique name of the context in which the model versions exist, or empty if it does not exist within an AI model context.

SQL_DBT_MODELS: RelationField = RelationField('sqlDbtModels') class-attribute

TBC

SQL_DBT_SOURCES: RelationField = RelationField('sqlDBTSources') class-attribute

TBC

SQL_IS_SECURE: BooleanField = BooleanField('sqlIsSecure', 'sqlIsSecure') class-attribute

Whether this asset is secure (true) or not (false).

TABLE_NAME: KeywordTextField = KeywordTextField('tableName', 'tableName.keyword', 'tableName') class-attribute

Simple name of the table in which this SQL asset exists, or empty if it does not exist within a table.

TABLE_QUALIFIED_NAME: KeywordField = KeywordField('tableQualifiedName', 'tableQualifiedName') class-attribute

Unique name of the table in which this SQL asset exists, or empty if it does not exist within a table.

VIEW_NAME: KeywordTextField = KeywordTextField('viewName', 'viewName.keyword', 'viewName') class-attribute

Simple name of the view in which this SQL asset exists, or empty if it does not exist within a view.

VIEW_QUALIFIED_NAME: KeywordField = KeywordField('viewQualifiedName', 'viewQualifiedName') class-attribute

Unique name of the view in which this SQL asset exists, or empty if it does not exist within a view.

SnowflakeAIModelContext

pyatlan.model.assets.core.snowflake_a_i_model_context.SnowflakeAIModelContext(__pydantic_self__, **data: Any)

Bases: AIModel

Description

Source code in pyatlan/model/assets/core/referenceable.py 
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def __init__(__pydantic_self__, **data: Any) -> None:
    super().__init__(**data)
    __pydantic_self__.__fields_set__.update(["attributes", "type_name"])

Attributes

AI_MODEL_DATASETS_DSL: TextField = TextField('aiModelDatasetsDSL', 'aiModelDatasetsDSL') class-attribute

Search DSL used to define which assets/datasets are part of the AI model.

AI_MODEL_STATUS: KeywordField = KeywordField('aiModelStatus', 'aiModelStatus') class-attribute

Status of the AI model.

AI_MODEL_VERSION: KeywordField = KeywordField('aiModelVersion', 'aiModelVersion') class-attribute

Version of the AI model.

CALCULATION_VIEW_NAME: KeywordTextField = KeywordTextField('calculationViewName', 'calculationViewName.keyword', 'calculationViewName') class-attribute

Simple name of the calculation view in which this SQL asset exists, or empty if it does not exist within a calculation view.

CALCULATION_VIEW_QUALIFIED_NAME: KeywordField = KeywordField('calculationViewQualifiedName', 'calculationViewQualifiedName') class-attribute

Unique name of the calculation view in which this SQL asset exists, or empty if it does not exist within a calculation view.

DATABASE_NAME: KeywordTextField = KeywordTextField('databaseName', 'databaseName.keyword', 'databaseName') class-attribute

Simple name of the database in which this SQL asset exists, or empty if it does not exist within a database.

DATABASE_QUALIFIED_NAME: KeywordField = KeywordField('databaseQualifiedName', 'databaseQualifiedName') class-attribute

Unique name of the database in which this SQL asset exists, or empty if it does not exist within a database.

DBT_MODELS: RelationField = RelationField('dbtModels') class-attribute

TBC

DBT_SEED_ASSETS: RelationField = RelationField('dbtSeedAssets') class-attribute

TBC

DBT_SOURCES: RelationField = RelationField('dbtSources') class-attribute

TBC

DBT_TESTS: RelationField = RelationField('dbtTests') class-attribute

TBC

ETHICAL_AI_ACCOUNTABILITY_CONFIG: KeywordField = KeywordField('ethicalAIAccountabilityConfig', 'ethicalAIAccountabilityConfig') class-attribute

Accountability configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_BIAS_MITIGATION_CONFIG: KeywordField = KeywordField('ethicalAIBiasMitigationConfig', 'ethicalAIBiasMitigationConfig') class-attribute

Bias mitigation configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_ENVIRONMENTAL_CONSCIOUSNESS_CONFIG: KeywordField = KeywordField('ethicalAIEnvironmentalConsciousnessConfig', 'ethicalAIEnvironmentalConsciousnessConfig') class-attribute

Environmental consciousness configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_FAIRNESS_CONFIG: KeywordField = KeywordField('ethicalAIFairnessConfig', 'ethicalAIFairnessConfig') class-attribute

Fairness configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_PRIVACY_CONFIG: KeywordField = KeywordField('ethicalAIPrivacyConfig', 'ethicalAIPrivacyConfig') class-attribute

Privacy configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_RELIABILITY_AND_SAFETY_CONFIG: KeywordField = KeywordField('ethicalAIReliabilityAndSafetyConfig', 'ethicalAIReliabilityAndSafetyConfig') class-attribute

Reliability and safety configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_TRANSPARENCY_CONFIG: KeywordField = KeywordField('ethicalAITransparencyConfig', 'ethicalAITransparencyConfig') class-attribute

Transparency configuration for ensuring the ethical use of an AI asset

IS_PROFILED: BooleanField = BooleanField('isProfiled', 'isProfiled') class-attribute

Whether this asset has been profiled (true) or not (false).

LAST_PROFILED_AT: NumericField = NumericField('lastProfiledAt', 'lastProfiledAt') class-attribute

Time (epoch) at which this asset was last profiled, in milliseconds.

QUERY_COUNT: NumericField = NumericField('queryCount', 'queryCount') class-attribute

Number of times this asset has been queried.

QUERY_COUNT_UPDATED_AT: NumericField = NumericField('queryCountUpdatedAt', 'queryCountUpdatedAt') class-attribute

Time (epoch) at which the query count was last updated, in milliseconds.

QUERY_USER_COUNT: NumericField = NumericField('queryUserCount', 'queryUserCount') class-attribute

Number of unique users who have queried this asset.

QUERY_USER_MAP: KeywordField = KeywordField('queryUserMap', 'queryUserMap') class-attribute

Map of unique users who have queried this asset to the number of times they have queried it.

SCHEMA_NAME: KeywordTextField = KeywordTextField('schemaName', 'schemaName.keyword', 'schemaName') class-attribute

Simple name of the schema in which this SQL asset exists, or empty if it does not exist within a schema.

SCHEMA_QUALIFIED_NAME: KeywordField = KeywordField('schemaQualifiedName', 'schemaQualifiedName') class-attribute

Unique name of the schema in which this SQL asset exists, or empty if it does not exist within a schema.

SNOWFLAKE_AI_MODEL_SCHEMA: RelationField = RelationField('snowflakeAIModelSchema') class-attribute

TBC

SNOWFLAKE_AI_MODEL_VERSIONS: RelationField = RelationField('snowflakeAIModelVersions') class-attribute

TBC

SQL_AI_MODEL_CONTEXT_QUALIFIED_NAME: KeywordField = KeywordField('sqlAIModelContextQualifiedName', 'sqlAIModelContextQualifiedName') class-attribute

Unique name of the context in which the model versions exist, or empty if it does not exist within an AI model context.

SQL_DBT_MODELS: RelationField = RelationField('sqlDbtModels') class-attribute

TBC

SQL_DBT_SOURCES: RelationField = RelationField('sqlDBTSources') class-attribute

TBC

SQL_IS_SECURE: BooleanField = BooleanField('sqlIsSecure', 'sqlIsSecure') class-attribute

Whether this asset is secure (true) or not (false).

TABLE_NAME: KeywordTextField = KeywordTextField('tableName', 'tableName.keyword', 'tableName') class-attribute

Simple name of the table in which this SQL asset exists, or empty if it does not exist within a table.

TABLE_QUALIFIED_NAME: KeywordField = KeywordField('tableQualifiedName', 'tableQualifiedName') class-attribute

Unique name of the table in which this SQL asset exists, or empty if it does not exist within a table.

VIEW_NAME: KeywordTextField = KeywordTextField('viewName', 'viewName.keyword', 'viewName') class-attribute

Simple name of the view in which this SQL asset exists, or empty if it does not exist within a view.

VIEW_QUALIFIED_NAME: KeywordField = KeywordField('viewQualifiedName', 'viewQualifiedName') class-attribute

Unique name of the view in which this SQL asset exists, or empty if it does not exist within a view.

SnowflakeAIModelVersion

pyatlan.model.assets.core.snowflake_a_i_model_version.SnowflakeAIModelVersion(__pydantic_self__, **data: Any)

Bases: AIModelVersion

Description

Source code in pyatlan/model/assets/core/referenceable.py 
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def __init__(__pydantic_self__, **data: Any) -> None:
    super().__init__(**data)
    __pydantic_self__.__fields_set__.update(["attributes", "type_name"])

Attributes

CALCULATION_VIEW_NAME: KeywordTextField = KeywordTextField('calculationViewName', 'calculationViewName.keyword', 'calculationViewName') class-attribute

Simple name of the calculation view in which this SQL asset exists, or empty if it does not exist within a calculation view.

CALCULATION_VIEW_QUALIFIED_NAME: KeywordField = KeywordField('calculationViewQualifiedName', 'calculationViewQualifiedName') class-attribute

Unique name of the calculation view in which this SQL asset exists, or empty if it does not exist within a calculation view.

DATABASE_NAME: KeywordTextField = KeywordTextField('databaseName', 'databaseName.keyword', 'databaseName') class-attribute

Simple name of the database in which this SQL asset exists, or empty if it does not exist within a database.

DATABASE_QUALIFIED_NAME: KeywordField = KeywordField('databaseQualifiedName', 'databaseQualifiedName') class-attribute

Unique name of the database in which this SQL asset exists, or empty if it does not exist within a database.

DBT_MODELS: RelationField = RelationField('dbtModels') class-attribute

TBC

DBT_SEED_ASSETS: RelationField = RelationField('dbtSeedAssets') class-attribute

TBC

DBT_SOURCES: RelationField = RelationField('dbtSources') class-attribute

TBC

DBT_TESTS: RelationField = RelationField('dbtTests') class-attribute

TBC

ETHICAL_AI_ACCOUNTABILITY_CONFIG: KeywordField = KeywordField('ethicalAIAccountabilityConfig', 'ethicalAIAccountabilityConfig') class-attribute

Accountability configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_BIAS_MITIGATION_CONFIG: KeywordField = KeywordField('ethicalAIBiasMitigationConfig', 'ethicalAIBiasMitigationConfig') class-attribute

Bias mitigation configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_ENVIRONMENTAL_CONSCIOUSNESS_CONFIG: KeywordField = KeywordField('ethicalAIEnvironmentalConsciousnessConfig', 'ethicalAIEnvironmentalConsciousnessConfig') class-attribute

Environmental consciousness configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_FAIRNESS_CONFIG: KeywordField = KeywordField('ethicalAIFairnessConfig', 'ethicalAIFairnessConfig') class-attribute

Fairness configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_PRIVACY_CONFIG: KeywordField = KeywordField('ethicalAIPrivacyConfig', 'ethicalAIPrivacyConfig') class-attribute

Privacy configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_RELIABILITY_AND_SAFETY_CONFIG: KeywordField = KeywordField('ethicalAIReliabilityAndSafetyConfig', 'ethicalAIReliabilityAndSafetyConfig') class-attribute

Reliability and safety configuration for ensuring the ethical use of an AI asset

ETHICAL_AI_TRANSPARENCY_CONFIG: KeywordField = KeywordField('ethicalAITransparencyConfig', 'ethicalAITransparencyConfig') class-attribute

Transparency configuration for ensuring the ethical use of an AI asset

IS_PROFILED: BooleanField = BooleanField('isProfiled', 'isProfiled') class-attribute

Whether this asset has been profiled (true) or not (false).

LAST_PROFILED_AT: NumericField = NumericField('lastProfiledAt', 'lastProfiledAt') class-attribute

Time (epoch) at which this asset was last profiled, in milliseconds.

QUERY_COUNT: NumericField = NumericField('queryCount', 'queryCount') class-attribute

Number of times this asset has been queried.

QUERY_COUNT_UPDATED_AT: NumericField = NumericField('queryCountUpdatedAt', 'queryCountUpdatedAt') class-attribute

Time (epoch) at which the query count was last updated, in milliseconds.

QUERY_USER_COUNT: NumericField = NumericField('queryUserCount', 'queryUserCount') class-attribute

Number of unique users who have queried this asset.

QUERY_USER_MAP: KeywordField = KeywordField('queryUserMap', 'queryUserMap') class-attribute

Map of unique users who have queried this asset to the number of times they have queried it.

SCHEMA_NAME: KeywordTextField = KeywordTextField('schemaName', 'schemaName.keyword', 'schemaName') class-attribute

Simple name of the schema in which this SQL asset exists, or empty if it does not exist within a schema.

SCHEMA_QUALIFIED_NAME: KeywordField = KeywordField('schemaQualifiedName', 'schemaQualifiedName') class-attribute

Unique name of the schema in which this SQL asset exists, or empty if it does not exist within a schema.

SNOWFLAKE_AI_MODEL_CONTEXT: RelationField = RelationField('snowflakeAIModelContext') class-attribute

TBC

SNOWFLAKE_AI_MODEL_VERSION_ALIASES: KeywordField = KeywordField('snowflakeAIModelVersionAliases', 'snowflakeAIModelVersionAliases') class-attribute

The aliases for the model version.

SNOWFLAKE_AI_MODEL_VERSION_FUNCTIONS: KeywordField = KeywordField('snowflakeAIModelVersionFunctions', 'snowflakeAIModelVersionFunctions') class-attribute

Functions used in the model version.

SNOWFLAKE_AI_MODEL_VERSION_METRICS: KeywordField = KeywordField('snowflakeAIModelVersionMetrics', 'snowflakeAIModelVersionMetrics') class-attribute

Metrics for an individual experiment.

SNOWFLAKE_AI_MODEL_VERSION_NAME: KeywordField = KeywordField('snowflakeAIModelVersionName', 'snowflakeAIModelVersionName') class-attribute

Version part of the model name.

SNOWFLAKE_AI_MODEL_VERSION_TYPE: KeywordField = KeywordField('snowflakeAIModelVersionType', 'snowflakeAIModelVersionType') class-attribute

The type of the model version.

SQL_AI_MODEL_CONTEXT_QUALIFIED_NAME: KeywordField = KeywordField('sqlAIModelContextQualifiedName', 'sqlAIModelContextQualifiedName') class-attribute

Unique name of the context in which the model versions exist, or empty if it does not exist within an AI model context.

SQL_DBT_MODELS: RelationField = RelationField('sqlDbtModels') class-attribute

TBC

SQL_DBT_SOURCES: RelationField = RelationField('sqlDBTSources') class-attribute

TBC

SQL_IS_SECURE: BooleanField = BooleanField('sqlIsSecure', 'sqlIsSecure') class-attribute

Whether this asset is secure (true) or not (false).

TABLE_NAME: KeywordTextField = KeywordTextField('tableName', 'tableName.keyword', 'tableName') class-attribute

Simple name of the table in which this SQL asset exists, or empty if it does not exist within a table.

TABLE_QUALIFIED_NAME: KeywordField = KeywordField('tableQualifiedName', 'tableQualifiedName') class-attribute

Unique name of the table in which this SQL asset exists, or empty if it does not exist within a table.

VIEW_NAME: KeywordTextField = KeywordTextField('viewName', 'viewName.keyword', 'viewName') class-attribute

Simple name of the view in which this SQL asset exists, or empty if it does not exist within a view.

VIEW_QUALIFIED_NAME: KeywordField = KeywordField('viewQualifiedName', 'viewQualifiedName') class-attribute

Unique name of the view in which this SQL asset exists, or empty if it does not exist within a view.