brk-code

great_expectations の API リファレンス

great_expectations (great-expectations/great_expectations) の公開 API 85 件 —— クラス 57、関数 8、メソッド 20。実際のソースを静的解析して抽出した正確なシグネチャを掲載しています。

リポジトリ: great-expectations/great_expectations

種別件数
クラス57
関数8
メソッド20

API 一覧

funcci.checks.validate_docs_snippets.parse_grep(lines:list[str]) -> list[str]
Parse the grep output and exclude known issues.
funccontrib.cli.great_expectations_contrib.cli.cli(ctx:click.Context) -> None
Welcome to the great_expectations_contrib CLI!
classgreat_expectations.checkpoint.actions.OpsgenieAlertAction
Sends an Opsgenie alert.
classgreat_expectations.checkpoint.actions.PagerdutyAlertAction
Sends a PagerDuty event.
methodgreat_expectations.checkpoint.checkpoint.Checkpoint.save() -> None
Save the current state of this Checkpoint.
classgreat_expectations.checkpoint.checkpoint.CheckpointResult
The result of running a Checkpoint.
classgreat_expectations.compatibility.aws.REDSHIFT_TYPES
Namespace for Redshift dialect types.
classgreat_expectations.compatibility.bigquery.BIGQUERY_TYPES
Namespace for Bigquery dialect types
classgreat_expectations.compatibility.databricks.DATABRICKS_TYPES
Namespace for Databricks dialect types
classgreat_expectations.compatibility.postgresql.POSTGRESQL_TYPES
Namespace for PostgreSQL dialect types.
classgreat_expectations.compatibility.snowflake.SNOWFLAKE_TYPES
Namespace for Snowflake dialect types.
classgreat_expectations.core.batch.Batch
A Batch is a selection of records from a Data Asset.
methodgreat_expectations.core.batch.Batch.data() -> BatchDataType | None
Getter for Batch data
methodgreat_expectations.core.batch.Batch.head(n_rows:int=5, fetch_all:bool=False) -> pd.DataFrame
Return the first n rows from the Batch.
classgreat_expectations.core.batch_definition.BatchDefinition
Configuration for a batch of data.
methodgreat_expectations.core.batch_definition.BatchDefinition.get_batch(batch_parameters:Optional[BatchParameters]=None) -> Batch
Retrieves a batch from the underlying asset.
classgreat_expectations.core.configuration.AbstractConfig
Abstract base class for Config objects.
classgreat_expectations.core.expectation_suite.ExpectationSuite
Set-like collection of Expectations.
methodgreat_expectations.core.expectation_suite.ExpectationSuite.add_expectation(expectation:_TExpectation) -> _TExpectation
Add an Expectation to the collection.
methodgreat_expectations.core.expectation_suite.ExpectationSuite.delete_expectation(expectation:Expectation) -> Expectation
Delete an Expectation from the collection.
methodgreat_expectations.core.expectation_suite.ExpectationSuite.save() -> None
Save this ExpectationSuite.
classgreat_expectations.core.expectation_validation_result.ExpectationValidationResult
An Expectation validation result.
classgreat_expectations.core.serializer.AbstractConfigSerializer
Serializer interface.
methodgreat_expectations.core.serializer.AbstractConfigSerializer.serialize(obj:AbstractConfig) -> dict
Serialize to serializer specific data type.
funcgreat_expectations.core.suite_parameters.get_suite_parameter_key(suite_parameter:SuiteParameterDict) -> str
Get the key of a suite parameter.
funcgreat_expectations.core.util.sniff_s3_compression(s3_url:S3Url) -> Union[str, None]
Attempts to get read_csv compression from s3_url
funcgreat_expectations.data_context.store.gx_cloud_store_backend.close_session(session:requests.Session)
Close the session.
classgreat_expectations.data_context.store.tuple_store_backend.TupleFilesystemStoreBackend
Uses a local filepath as a store.
classgreat_expectations.data_context.types.base.DataContextConfig
Config class for DataContext.
classgreat_expectations.data_context.types.resource_identifiers.BatchIdentifier
A BatchIdentifier tracks
classgreat_expectations.data_context.util.PasswordMasker
Used to mask passwords in Datasources.
methodgreat_expectations.data_context.util.PasswordMasker.sanitize_config(config:dict) -> dict
Mask sensitive fields in a Dict.
classgreat_expectations.datasource.fluent.config.GxConfig
Represents the full fluent configuration file.
classgreat_expectations.datasource.fluent.fabric.FabricPowerBIDatasource
Microsoft Fabric Datasource.
classgreat_expectations.datasource.fluent.fabric.PowerBIDax
Microsoft PowerBI DAX.
classgreat_expectations.datasource.fluent.fabric.PowerBIMeasure
Microsoft PowerBI Measure.
classgreat_expectations.datasource.fluent.fabric.PowerBITable
Microsoft PowerBI Table.
classgreat_expectations.datasource.fluent.interfaces.Batch
This represents a batch of data.
methodgreat_expectations.datasource.fluent.interfaces.Batch.columns() -> List[str]
Return column names of this Batch.
methodgreat_expectations.datasource.fluent.interfaces.Batch.head(n_rows:StrictInt=5, fetch_all:StrictBool=False) -> HeadData
Return the first n rows of this Batch.
methodgreat_expectations.datasource.fluent.interfaces.Datasource.get_batch(batch_request:BatchRequest) -> Batch
A Batch that corresponds to the BatchRequest.
classgreat_expectations.datasource.fluent.invalid_datasource.InvalidAsset
A DataAsset that is invalid.
classgreat_expectations.datasource.fluent.invalid_datasource.InvalidDatasource
A Datasource that is invalid.
methodgreat_expectations.datasource.fluent.snowflake_datasource.SnowflakeDsn.account() -> AccountIdentifier
Alias for account_identifier.
methodgreat_expectations.datasource.fluent.snowflake_datasource.SnowflakeDsn.account_identifier() -> AccountIdentifier
Alias for host.
classgreat_expectations.exceptions.exceptions.PluginClassNotFoundError
A module import failed.
classgreat_expectations.exceptions.exceptions.PluginModuleNotFoundError
A module import failed.
methodgreat_expectations.execution_engine.execution_engine.ExecutionEngine.batch_manager() -> BatchManager
Getter for batch_manager
classgreat_expectations.expectations.expectation.BatchExpectation
Base class for BatchExpectations.
classgreat_expectations.expectations.expectation.ColumnMapExpectation
Base class for ColumnMapExpectations.
classgreat_expectations.expectations.expectation.ColumnPairMapExpectation
Base class for ColumnPairMapExpectations.
classgreat_expectations.expectations.expectation.Expectation
Base class for all Expectations.
classgreat_expectations.expectations.expectation.QueryExpectation
Base class for QueryExpectations.
classgreat_expectations.expectations.metadata_types.FailureSeverity
Severity levels for Expectation failures.
classgreat_expectations.expectations.metrics.metric_provider.MetricProvider
Base class for all metric providers.
classgreat_expectations.expectations.row_conditions.Column
Specify the column in a condition statement.
classgreat_expectations.expectations.row_conditions.Condition
Base class for conditions.
methodgreat_expectations.experimental.metric_repository.cloud_data_store.CloudDataStore.add(value:T) -> uuid.UUID
Add a value to the DataStore.
funcgreat_expectations.experimental.metric_repository.cloud_data_store.close_session(session:requests.Session)
Close the session.
methodgreat_expectations.experimental.metric_repository.data_store.DataStore.add(value:T) -> uuid.UUID
Add a value to the DataStore.
classgreat_expectations.experimental.metric_repository.metrics.Metric
Abstract computed metric.
classgreat_expectations.metrics.batch.batch_column_types.BatchColumnTypes
Table schema
classgreat_expectations.metrics.batch.row_count.BatchRowCount
Count of rows in a table
classgreat_expectations.metrics.batch.sample_values.SampleValues
Sample rows from a table
classgreat_expectations.metrics.column.distinct_values.ColumnDistinctValues
List of distinct values in a column
classgreat_expectations.metrics.column.distinct_values_count.ColumnDistinctValuesCount
Count of distinct values in a column
classgreat_expectations.metrics.column.mean.ColumnMean
Mean of values in a column
classgreat_expectations.metrics.column.null_count.ColumnNullCount
Count of null values in a column
classgreat_expectations.metrics.column.values_non_null.ColumnValuesNonNullCount
Count of non-null values in a column
classgreat_expectations.metrics.metric.Metric
The abstract base class for defining all metrics.
classgreat_expectations.render.components.AtomicDiagnosticRendererType
Available atomic diagnostic renderer names
classgreat_expectations.render.components.AtomicRendererType
Available atomic renderer types
classgreat_expectations.render.components.LegacyDiagnosticRendererType
Available legacy diagnostic renderer names
classgreat_expectations.render.components.LegacyRendererType
Available legacy renderer types
classgreat_expectations.render.components.RendererPrefix
Available renderer prefixes
methodgreat_expectations.render.renderer.renderer.Renderer.render(checkpoint_result:CheckpointResult) -> Any
Render interface method.
classgreat_expectations.render.renderer_configuration.RendererSchema
Json schema for values found in renderers.
funcgreat_expectations.render.util.ordinal(num)
Convert a number to ordinal
classgreat_expectations.render.view.view.DefaultMarkdownPageView
Convert a document to markdown format.
methodgreat_expectations.render.view.view.DefaultMarkdownPageView.render(document:list, template=None, **kwargs) -> list[str] | str
Handle list as well as single document
classgreat_expectations.types.connect_args.ConnectArgs
Type definition for connection arguments.
funcgreat_expectations.util.is_sane_slack_webhook(url:str) -> bool
Really basic sanity checking.
classgreat_expectations.validator.metric_configuration.MetricConfiguration
An interface for configuring Metrics.
classgreat_expectations.validator.v1_validator.Validator
Validator.
methodgreat_expectations.validator.validator.Validator.columns(domain_kwargs:Optional[Dict[str, Any]]=None) -> List[str]
Convenience method to obtain Batch columns.

この情報について

掲載しているシグネチャは great-expectations/great_expectations の公開ソースコードを Python の ast モジュールで静的解析し、引数名・デフォルト値・ 型注釈・戻り値型をそのまま抽出したものです。実装コードは保存していません。 詳しくは仕組みの解説をご覧ください。

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