CfnTopicPropsMixin
- class aws_cdk.mixins_preview.aws_quicksight.mixins.CfnTopicPropsMixin(props, *, strategy=None)
Bases:
MixinCreates a new Q topic.
- See:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-quicksight-topic.html
- CloudformationResource:
AWS::QuickSight::Topic
- Mixin:
true
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview import mixins from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins cfn_topic_props_mixin = quicksight_mixins.CfnTopicPropsMixin(quicksight_mixins.CfnTopicMixinProps( aws_account_id="awsAccountId", config_options=quicksight_mixins.CfnTopicPropsMixin.TopicConfigOptionsProperty( q_business_insights_enabled=False ), custom_instructions=quicksight_mixins.CfnTopicPropsMixin.CustomInstructionsProperty( custom_instructions_string="customInstructionsString" ), data_sets=[quicksight_mixins.CfnTopicPropsMixin.DatasetMetadataProperty( calculated_fields=[quicksight_mixins.CfnTopicPropsMixin.TopicCalculatedFieldProperty( aggregation="aggregation", allowed_aggregations=["allowedAggregations"], calculated_field_description="calculatedFieldDescription", calculated_field_name="calculatedFieldName", calculated_field_synonyms=["calculatedFieldSynonyms"], cell_value_synonyms=[quicksight_mixins.CfnTopicPropsMixin.CellValueSynonymProperty( cell_value="cellValue", synonyms=["synonyms"] )], column_data_role="columnDataRole", comparative_order=quicksight_mixins.CfnTopicPropsMixin.ComparativeOrderProperty( specifed_order=["specifedOrder"], treat_undefined_specified_values="treatUndefinedSpecifiedValues", use_ordering="useOrdering" ), default_formatting=quicksight_mixins.CfnTopicPropsMixin.DefaultFormattingProperty( display_format="displayFormat", display_format_options=quicksight_mixins.CfnTopicPropsMixin.DisplayFormatOptionsProperty( blank_cell_format="blankCellFormat", currency_symbol="currencySymbol", date_format="dateFormat", decimal_separator="decimalSeparator", fraction_digits=123, grouping_separator="groupingSeparator", negative_format=quicksight_mixins.CfnTopicPropsMixin.NegativeFormatProperty( prefix="prefix", suffix="suffix" ), prefix="prefix", suffix="suffix", unit_scaler="unitScaler", use_blank_cell_format=False, use_grouping=False ) ), disable_indexing=False, expression="expression", is_included_in_topic=False, never_aggregate_in_filter=False, non_additive=False, not_allowed_aggregations=["notAllowedAggregations"], semantic_type=quicksight_mixins.CfnTopicPropsMixin.SemanticTypeProperty( falsey_cell_value="falseyCellValue", falsey_cell_value_synonyms=["falseyCellValueSynonyms"], sub_type_name="subTypeName", truthy_cell_value="truthyCellValue", truthy_cell_value_synonyms=["truthyCellValueSynonyms"], type_name="typeName", type_parameters={ "type_parameters_key": "typeParameters" } ), time_granularity="timeGranularity" )], columns=[quicksight_mixins.CfnTopicPropsMixin.TopicColumnProperty( aggregation="aggregation", allowed_aggregations=["allowedAggregations"], cell_value_synonyms=[quicksight_mixins.CfnTopicPropsMixin.CellValueSynonymProperty( cell_value="cellValue", synonyms=["synonyms"] )], column_data_role="columnDataRole", column_description="columnDescription", column_friendly_name="columnFriendlyName", column_name="columnName", column_synonyms=["columnSynonyms"], comparative_order=quicksight_mixins.CfnTopicPropsMixin.ComparativeOrderProperty( specifed_order=["specifedOrder"], treat_undefined_specified_values="treatUndefinedSpecifiedValues", use_ordering="useOrdering" ), default_formatting=quicksight_mixins.CfnTopicPropsMixin.DefaultFormattingProperty( display_format="displayFormat", display_format_options=quicksight_mixins.CfnTopicPropsMixin.DisplayFormatOptionsProperty( blank_cell_format="blankCellFormat", currency_symbol="currencySymbol", date_format="dateFormat", decimal_separator="decimalSeparator", fraction_digits=123, grouping_separator="groupingSeparator", negative_format=quicksight_mixins.CfnTopicPropsMixin.NegativeFormatProperty( prefix="prefix", suffix="suffix" ), prefix="prefix", suffix="suffix", unit_scaler="unitScaler", use_blank_cell_format=False, use_grouping=False ) ), disable_indexing=False, is_included_in_topic=False, never_aggregate_in_filter=False, non_additive=False, not_allowed_aggregations=["notAllowedAggregations"], semantic_type=quicksight_mixins.CfnTopicPropsMixin.SemanticTypeProperty( falsey_cell_value="falseyCellValue", falsey_cell_value_synonyms=["falseyCellValueSynonyms"], sub_type_name="subTypeName", truthy_cell_value="truthyCellValue", truthy_cell_value_synonyms=["truthyCellValueSynonyms"], type_name="typeName", type_parameters={ "type_parameters_key": "typeParameters" } ), time_granularity="timeGranularity" )], data_aggregation=quicksight_mixins.CfnTopicPropsMixin.DataAggregationProperty( dataset_row_date_granularity="datasetRowDateGranularity", default_date_column_name="defaultDateColumnName" ), dataset_arn="datasetArn", dataset_description="datasetDescription", dataset_name="datasetName", filters=[quicksight_mixins.CfnTopicPropsMixin.TopicFilterProperty( category_filter=quicksight_mixins.CfnTopicPropsMixin.TopicCategoryFilterProperty( category_filter_function="categoryFilterFunction", category_filter_type="categoryFilterType", constant=quicksight_mixins.CfnTopicPropsMixin.TopicCategoryFilterConstantProperty( collective_constant=quicksight_mixins.CfnTopicPropsMixin.CollectiveConstantProperty( value_list=["valueList"] ), constant_type="constantType", singular_constant="singularConstant" ), inverse=False ), date_range_filter=quicksight_mixins.CfnTopicPropsMixin.TopicDateRangeFilterProperty( constant=quicksight_mixins.CfnTopicPropsMixin.TopicRangeFilterConstantProperty( constant_type="constantType", range_constant=quicksight_mixins.CfnTopicPropsMixin.RangeConstantProperty( maximum="maximum", minimum="minimum" ) ), inclusive=False ), filter_class="filterClass", filter_description="filterDescription", filter_name="filterName", filter_synonyms=["filterSynonyms"], filter_type="filterType", numeric_equality_filter=quicksight_mixins.CfnTopicPropsMixin.TopicNumericEqualityFilterProperty( aggregation="aggregation", constant=quicksight_mixins.CfnTopicPropsMixin.TopicSingularFilterConstantProperty( constant_type="constantType", singular_constant="singularConstant" ) ), numeric_range_filter=quicksight_mixins.CfnTopicPropsMixin.TopicNumericRangeFilterProperty( aggregation="aggregation", constant=quicksight_mixins.CfnTopicPropsMixin.TopicRangeFilterConstantProperty( constant_type="constantType", range_constant=quicksight_mixins.CfnTopicPropsMixin.RangeConstantProperty( maximum="maximum", minimum="minimum" ) ), inclusive=False ), operand_field_name="operandFieldName", relative_date_filter=quicksight_mixins.CfnTopicPropsMixin.TopicRelativeDateFilterProperty( constant=quicksight_mixins.CfnTopicPropsMixin.TopicSingularFilterConstantProperty( constant_type="constantType", singular_constant="singularConstant" ), relative_date_filter_function="relativeDateFilterFunction", time_granularity="timeGranularity" ) )], named_entities=[quicksight_mixins.CfnTopicPropsMixin.TopicNamedEntityProperty( definition=[quicksight_mixins.CfnTopicPropsMixin.NamedEntityDefinitionProperty( field_name="fieldName", metric=quicksight_mixins.CfnTopicPropsMixin.NamedEntityDefinitionMetricProperty( aggregation="aggregation", aggregation_function_parameters={ "aggregation_function_parameters_key": "aggregationFunctionParameters" } ), property_name="propertyName", property_role="propertyRole", property_usage="propertyUsage" )], entity_description="entityDescription", entity_name="entityName", entity_synonyms=["entitySynonyms"], semantic_entity_type=quicksight_mixins.CfnTopicPropsMixin.SemanticEntityTypeProperty( sub_type_name="subTypeName", type_name="typeName", type_parameters={ "type_parameters_key": "typeParameters" } ) )] )], description="description", folder_arns=["folderArns"], name="name", tags=[CfnTag( key="key", value="value" )], topic_id="topicId", user_experience_version="userExperienceVersion" ), strategy=mixins.PropertyMergeStrategy.OVERRIDE )
Create a mixin to apply properties to
AWS::QuickSight::Topic.- Parameters:
props (
Union[CfnTopicMixinProps,Dict[str,Any]]) – L1 properties to apply.strategy (
Optional[PropertyMergeStrategy]) – (experimental) Strategy for merging nested properties. Default: - PropertyMergeStrategy.MERGE
Methods
- apply_to(construct)
Apply the mixin properties to the construct.
- Parameters:
construct (
IConstruct)- Return type:
- supports(construct)
Check if this mixin supports the given construct.
- Parameters:
construct (
IConstruct)- Return type:
bool
Attributes
- CFN_PROPERTY_KEYS = ['awsAccountId', 'configOptions', 'customInstructions', 'dataSets', 'description', 'folderArns', 'name', 'tags', 'topicId', 'userExperienceVersion']
Static Methods
- classmethod is_mixin(x)
(experimental) Checks if
xis a Mixin.- Parameters:
x (
Any) – Any object.- Return type:
bool- Returns:
true if
xis an object created from a class which extendsMixin.- Stability:
experimental
CellValueSynonymProperty
- class CfnTopicPropsMixin.CellValueSynonymProperty(*, cell_value=None, synonyms=None)
Bases:
objectA structure that represents the cell value synonym.
- Parameters:
cell_value (
Optional[str]) – The cell value.synonyms (
Optional[Sequence[str]]) – Other names or aliases for the cell value.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins cell_value_synonym_property = quicksight_mixins.CfnTopicPropsMixin.CellValueSynonymProperty( cell_value="cellValue", synonyms=["synonyms"] )
Attributes
- cell_value
The cell value.
- synonyms
Other names or aliases for the cell value.
CollectiveConstantProperty
- class CfnTopicPropsMixin.CollectiveConstantProperty(*, value_list=None)
Bases:
objectA structure that represents a collective constant.
- Parameters:
value_list (
Optional[Sequence[str]]) – A list of values for the collective constant.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins collective_constant_property = quicksight_mixins.CfnTopicPropsMixin.CollectiveConstantProperty( value_list=["valueList"] )
Attributes
- value_list
A list of values for the collective constant.
ComparativeOrderProperty
- class CfnTopicPropsMixin.ComparativeOrderProperty(*, specifed_order=None, treat_undefined_specified_values=None, use_ordering=None)
Bases:
objectThe order in which data is displayed for the column when it’s used in a comparative context.
- Parameters:
specifed_order (
Optional[Sequence[str]]) – The list of columns to be used in the ordering.treat_undefined_specified_values (
Optional[str]) – The treat of undefined specified values. Valid values for this structure areLEASTandMOST.use_ordering (
Optional[str]) – The ordering type for a column. Valid values for this structure areGREATER_IS_BETTER,LESSER_IS_BETTERandSPECIFIED.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins comparative_order_property = quicksight_mixins.CfnTopicPropsMixin.ComparativeOrderProperty( specifed_order=["specifedOrder"], treat_undefined_specified_values="treatUndefinedSpecifiedValues", use_ordering="useOrdering" )
Attributes
- specifed_order
The list of columns to be used in the ordering.
- treat_undefined_specified_values
The treat of undefined specified values.
Valid values for this structure are
LEASTandMOST.
- use_ordering
The ordering type for a column.
Valid values for this structure are
GREATER_IS_BETTER,LESSER_IS_BETTERandSPECIFIED.
CustomInstructionsProperty
- class CfnTopicPropsMixin.CustomInstructionsProperty(*, custom_instructions_string=None)
Bases:
object- Parameters:
custom_instructions_string (
Optional[str])- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins custom_instructions_property = quicksight_mixins.CfnTopicPropsMixin.CustomInstructionsProperty( custom_instructions_string="customInstructionsString" )
Attributes
DataAggregationProperty
- class CfnTopicPropsMixin.DataAggregationProperty(*, dataset_row_date_granularity=None, default_date_column_name=None)
Bases:
objectThe definition of a data aggregation.
- Parameters:
dataset_row_date_granularity (
Optional[str]) – The level of time precision that is used to aggregateDateTimevalues.default_date_column_name (
Optional[str]) – The column name for the default date.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins data_aggregation_property = quicksight_mixins.CfnTopicPropsMixin.DataAggregationProperty( dataset_row_date_granularity="datasetRowDateGranularity", default_date_column_name="defaultDateColumnName" )
Attributes
- dataset_row_date_granularity
The level of time precision that is used to aggregate
DateTimevalues.
- default_date_column_name
The column name for the default date.
DatasetMetadataProperty
- class CfnTopicPropsMixin.DatasetMetadataProperty(*, calculated_fields=None, columns=None, data_aggregation=None, dataset_arn=None, dataset_description=None, dataset_name=None, filters=None, named_entities=None)
Bases:
objectA structure that represents a dataset.
- Parameters:
calculated_fields (
Union[IResolvable,Sequence[Union[IResolvable,TopicCalculatedFieldProperty,Dict[str,Any]]],None]) – The list of calculated field definitions.columns (
Union[IResolvable,Sequence[Union[IResolvable,TopicColumnProperty,Dict[str,Any]]],None]) – The list of column definitions.data_aggregation (
Union[IResolvable,DataAggregationProperty,Dict[str,Any],None]) – The definition of a data aggregation.dataset_arn (
Optional[str]) – The Amazon Resource Name (ARN) of the dataset.dataset_description (
Optional[str]) – The description of the dataset.dataset_name (
Optional[str]) – The name of the dataset.filters (
Union[IResolvable,Sequence[Union[IResolvable,TopicFilterProperty,Dict[str,Any]]],None]) – The list of filter definitions.named_entities (
Union[IResolvable,Sequence[Union[IResolvable,TopicNamedEntityProperty,Dict[str,Any]]],None]) – The list of named entities definitions.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins dataset_metadata_property = quicksight_mixins.CfnTopicPropsMixin.DatasetMetadataProperty( calculated_fields=[quicksight_mixins.CfnTopicPropsMixin.TopicCalculatedFieldProperty( aggregation="aggregation", allowed_aggregations=["allowedAggregations"], calculated_field_description="calculatedFieldDescription", calculated_field_name="calculatedFieldName", calculated_field_synonyms=["calculatedFieldSynonyms"], cell_value_synonyms=[quicksight_mixins.CfnTopicPropsMixin.CellValueSynonymProperty( cell_value="cellValue", synonyms=["synonyms"] )], column_data_role="columnDataRole", comparative_order=quicksight_mixins.CfnTopicPropsMixin.ComparativeOrderProperty( specifed_order=["specifedOrder"], treat_undefined_specified_values="treatUndefinedSpecifiedValues", use_ordering="useOrdering" ), default_formatting=quicksight_mixins.CfnTopicPropsMixin.DefaultFormattingProperty( display_format="displayFormat", display_format_options=quicksight_mixins.CfnTopicPropsMixin.DisplayFormatOptionsProperty( blank_cell_format="blankCellFormat", currency_symbol="currencySymbol", date_format="dateFormat", decimal_separator="decimalSeparator", fraction_digits=123, grouping_separator="groupingSeparator", negative_format=quicksight_mixins.CfnTopicPropsMixin.NegativeFormatProperty( prefix="prefix", suffix="suffix" ), prefix="prefix", suffix="suffix", unit_scaler="unitScaler", use_blank_cell_format=False, use_grouping=False ) ), disable_indexing=False, expression="expression", is_included_in_topic=False, never_aggregate_in_filter=False, non_additive=False, not_allowed_aggregations=["notAllowedAggregations"], semantic_type=quicksight_mixins.CfnTopicPropsMixin.SemanticTypeProperty( falsey_cell_value="falseyCellValue", falsey_cell_value_synonyms=["falseyCellValueSynonyms"], sub_type_name="subTypeName", truthy_cell_value="truthyCellValue", truthy_cell_value_synonyms=["truthyCellValueSynonyms"], type_name="typeName", type_parameters={ "type_parameters_key": "typeParameters" } ), time_granularity="timeGranularity" )], columns=[quicksight_mixins.CfnTopicPropsMixin.TopicColumnProperty( aggregation="aggregation", allowed_aggregations=["allowedAggregations"], cell_value_synonyms=[quicksight_mixins.CfnTopicPropsMixin.CellValueSynonymProperty( cell_value="cellValue", synonyms=["synonyms"] )], column_data_role="columnDataRole", column_description="columnDescription", column_friendly_name="columnFriendlyName", column_name="columnName", column_synonyms=["columnSynonyms"], comparative_order=quicksight_mixins.CfnTopicPropsMixin.ComparativeOrderProperty( specifed_order=["specifedOrder"], treat_undefined_specified_values="treatUndefinedSpecifiedValues", use_ordering="useOrdering" ), default_formatting=quicksight_mixins.CfnTopicPropsMixin.DefaultFormattingProperty( display_format="displayFormat", display_format_options=quicksight_mixins.CfnTopicPropsMixin.DisplayFormatOptionsProperty( blank_cell_format="blankCellFormat", currency_symbol="currencySymbol", date_format="dateFormat", decimal_separator="decimalSeparator", fraction_digits=123, grouping_separator="groupingSeparator", negative_format=quicksight_mixins.CfnTopicPropsMixin.NegativeFormatProperty( prefix="prefix", suffix="suffix" ), prefix="prefix", suffix="suffix", unit_scaler="unitScaler", use_blank_cell_format=False, use_grouping=False ) ), disable_indexing=False, is_included_in_topic=False, never_aggregate_in_filter=False, non_additive=False, not_allowed_aggregations=["notAllowedAggregations"], semantic_type=quicksight_mixins.CfnTopicPropsMixin.SemanticTypeProperty( falsey_cell_value="falseyCellValue", falsey_cell_value_synonyms=["falseyCellValueSynonyms"], sub_type_name="subTypeName", truthy_cell_value="truthyCellValue", truthy_cell_value_synonyms=["truthyCellValueSynonyms"], type_name="typeName", type_parameters={ "type_parameters_key": "typeParameters" } ), time_granularity="timeGranularity" )], data_aggregation=quicksight_mixins.CfnTopicPropsMixin.DataAggregationProperty( dataset_row_date_granularity="datasetRowDateGranularity", default_date_column_name="defaultDateColumnName" ), dataset_arn="datasetArn", dataset_description="datasetDescription", dataset_name="datasetName", filters=[quicksight_mixins.CfnTopicPropsMixin.TopicFilterProperty( category_filter=quicksight_mixins.CfnTopicPropsMixin.TopicCategoryFilterProperty( category_filter_function="categoryFilterFunction", category_filter_type="categoryFilterType", constant=quicksight_mixins.CfnTopicPropsMixin.TopicCategoryFilterConstantProperty( collective_constant=quicksight_mixins.CfnTopicPropsMixin.CollectiveConstantProperty( value_list=["valueList"] ), constant_type="constantType", singular_constant="singularConstant" ), inverse=False ), date_range_filter=quicksight_mixins.CfnTopicPropsMixin.TopicDateRangeFilterProperty( constant=quicksight_mixins.CfnTopicPropsMixin.TopicRangeFilterConstantProperty( constant_type="constantType", range_constant=quicksight_mixins.CfnTopicPropsMixin.RangeConstantProperty( maximum="maximum", minimum="minimum" ) ), inclusive=False ), filter_class="filterClass", filter_description="filterDescription", filter_name="filterName", filter_synonyms=["filterSynonyms"], filter_type="filterType", numeric_equality_filter=quicksight_mixins.CfnTopicPropsMixin.TopicNumericEqualityFilterProperty( aggregation="aggregation", constant=quicksight_mixins.CfnTopicPropsMixin.TopicSingularFilterConstantProperty( constant_type="constantType", singular_constant="singularConstant" ) ), numeric_range_filter=quicksight_mixins.CfnTopicPropsMixin.TopicNumericRangeFilterProperty( aggregation="aggregation", constant=quicksight_mixins.CfnTopicPropsMixin.TopicRangeFilterConstantProperty( constant_type="constantType", range_constant=quicksight_mixins.CfnTopicPropsMixin.RangeConstantProperty( maximum="maximum", minimum="minimum" ) ), inclusive=False ), operand_field_name="operandFieldName", relative_date_filter=quicksight_mixins.CfnTopicPropsMixin.TopicRelativeDateFilterProperty( constant=quicksight_mixins.CfnTopicPropsMixin.TopicSingularFilterConstantProperty( constant_type="constantType", singular_constant="singularConstant" ), relative_date_filter_function="relativeDateFilterFunction", time_granularity="timeGranularity" ) )], named_entities=[quicksight_mixins.CfnTopicPropsMixin.TopicNamedEntityProperty( definition=[quicksight_mixins.CfnTopicPropsMixin.NamedEntityDefinitionProperty( field_name="fieldName", metric=quicksight_mixins.CfnTopicPropsMixin.NamedEntityDefinitionMetricProperty( aggregation="aggregation", aggregation_function_parameters={ "aggregation_function_parameters_key": "aggregationFunctionParameters" } ), property_name="propertyName", property_role="propertyRole", property_usage="propertyUsage" )], entity_description="entityDescription", entity_name="entityName", entity_synonyms=["entitySynonyms"], semantic_entity_type=quicksight_mixins.CfnTopicPropsMixin.SemanticEntityTypeProperty( sub_type_name="subTypeName", type_name="typeName", type_parameters={ "type_parameters_key": "typeParameters" } ) )] )
Attributes
- calculated_fields
The list of calculated field definitions.
- columns
The list of column definitions.
- data_aggregation
The definition of a data aggregation.
- dataset_arn
The Amazon Resource Name (ARN) of the dataset.
- dataset_description
The description of the dataset.
- dataset_name
The name of the dataset.
- filters
The list of filter definitions.
- named_entities
The list of named entities definitions.
DefaultFormattingProperty
- class CfnTopicPropsMixin.DefaultFormattingProperty(*, display_format=None, display_format_options=None)
Bases:
objectA structure that represents a default formatting definition.
- Parameters:
display_format (
Optional[str]) – The display format. Valid values for this structure areAUTO,PERCENT,CURRENCY,NUMBER,DATE, andSTRING.display_format_options (
Union[IResolvable,DisplayFormatOptionsProperty,Dict[str,Any],None]) – The additional options for display formatting.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins default_formatting_property = quicksight_mixins.CfnTopicPropsMixin.DefaultFormattingProperty( display_format="displayFormat", display_format_options=quicksight_mixins.CfnTopicPropsMixin.DisplayFormatOptionsProperty( blank_cell_format="blankCellFormat", currency_symbol="currencySymbol", date_format="dateFormat", decimal_separator="decimalSeparator", fraction_digits=123, grouping_separator="groupingSeparator", negative_format=quicksight_mixins.CfnTopicPropsMixin.NegativeFormatProperty( prefix="prefix", suffix="suffix" ), prefix="prefix", suffix="suffix", unit_scaler="unitScaler", use_blank_cell_format=False, use_grouping=False ) )
Attributes
- display_format
The display format.
Valid values for this structure are
AUTO,PERCENT,CURRENCY,NUMBER,DATE, andSTRING.
- display_format_options
The additional options for display formatting.
DisplayFormatOptionsProperty
- class CfnTopicPropsMixin.DisplayFormatOptionsProperty(*, blank_cell_format=None, currency_symbol=None, date_format=None, decimal_separator=None, fraction_digits=None, grouping_separator=None, negative_format=None, prefix=None, suffix=None, unit_scaler=None, use_blank_cell_format=None, use_grouping=None)
Bases:
objectA structure that represents additional options for display formatting.
- Parameters:
blank_cell_format (
Optional[str]) – Determines the blank cell format.currency_symbol (
Optional[str]) – The currency symbol, such asUSD.date_format (
Optional[str]) – Determines theDateTimeformat.decimal_separator (
Optional[str]) – Determines the decimal separator.fraction_digits (
Union[int,float,None]) – Determines the number of fraction digits. Default: - 0grouping_separator (
Optional[str]) – Determines the grouping separator.negative_format (
Union[IResolvable,NegativeFormatProperty,Dict[str,Any],None]) – The negative format.prefix (
Optional[str]) – The prefix value for a display format.suffix (
Optional[str]) – The suffix value for a display format.unit_scaler (
Optional[str]) – The unit scaler. Valid values for this structure are:NONE,AUTO,THOUSANDS,MILLIONS,BILLIONS, andTRILLIONS.use_blank_cell_format (
Union[bool,IResolvable,None]) – A Boolean value that indicates whether to use blank cell format. Default: - falseuse_grouping (
Union[bool,IResolvable,None]) – A Boolean value that indicates whether to use grouping. Default: - false
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins display_format_options_property = quicksight_mixins.CfnTopicPropsMixin.DisplayFormatOptionsProperty( blank_cell_format="blankCellFormat", currency_symbol="currencySymbol", date_format="dateFormat", decimal_separator="decimalSeparator", fraction_digits=123, grouping_separator="groupingSeparator", negative_format=quicksight_mixins.CfnTopicPropsMixin.NegativeFormatProperty( prefix="prefix", suffix="suffix" ), prefix="prefix", suffix="suffix", unit_scaler="unitScaler", use_blank_cell_format=False, use_grouping=False )
Attributes
- blank_cell_format
Determines the blank cell format.
- currency_symbol
The currency symbol, such as
USD.
- date_format
Determines the
DateTimeformat.
- decimal_separator
Determines the decimal separator.
- fraction_digits
Determines the number of fraction digits.
- grouping_separator
Determines the grouping separator.
- negative_format
The negative format.
- prefix
The prefix value for a display format.
- suffix
The suffix value for a display format.
- unit_scaler
The unit scaler.
Valid values for this structure are:
NONE,AUTO,THOUSANDS,MILLIONS,BILLIONS, andTRILLIONS.
- use_blank_cell_format
A Boolean value that indicates whether to use blank cell format.
- use_grouping
A Boolean value that indicates whether to use grouping.
NamedEntityDefinitionMetricProperty
- class CfnTopicPropsMixin.NamedEntityDefinitionMetricProperty(*, aggregation=None, aggregation_function_parameters=None)
Bases:
objectA structure that represents a metric.
- Parameters:
aggregation (
Optional[str]) – The aggregation of a named entity. Valid values for this structure areSUM,MIN,MAX,COUNT,AVERAGE,DISTINCT_COUNT,STDEV,STDEVP,VAR,VARP,PERCENTILE,MEDIAN, andCUSTOM.aggregation_function_parameters (
Union[Mapping[str,str],IResolvable,None]) – The additional parameters for an aggregation function.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins named_entity_definition_metric_property = quicksight_mixins.CfnTopicPropsMixin.NamedEntityDefinitionMetricProperty( aggregation="aggregation", aggregation_function_parameters={ "aggregation_function_parameters_key": "aggregationFunctionParameters" } )
Attributes
- aggregation
The aggregation of a named entity.
Valid values for this structure are
SUM,MIN,MAX,COUNT,AVERAGE,DISTINCT_COUNT,STDEV,STDEVP,VAR,VARP,PERCENTILE,MEDIAN, andCUSTOM.
- aggregation_function_parameters
The additional parameters for an aggregation function.
NamedEntityDefinitionProperty
- class CfnTopicPropsMixin.NamedEntityDefinitionProperty(*, field_name=None, metric=None, property_name=None, property_role=None, property_usage=None)
Bases:
objectA structure that represents a named entity.
- Parameters:
field_name (
Optional[str]) – The name of the entity.metric (
Union[IResolvable,NamedEntityDefinitionMetricProperty,Dict[str,Any],None]) – The definition of a metric.property_name (
Optional[str]) – The property name to be used for the named entity.property_role (
Optional[str]) – The property role. Valid values for this structure arePRIMARYandID.property_usage (
Optional[str]) – The property usage. Valid values for this structure areINHERIT,DIMENSION, andMEASURE.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins named_entity_definition_property = quicksight_mixins.CfnTopicPropsMixin.NamedEntityDefinitionProperty( field_name="fieldName", metric=quicksight_mixins.CfnTopicPropsMixin.NamedEntityDefinitionMetricProperty( aggregation="aggregation", aggregation_function_parameters={ "aggregation_function_parameters_key": "aggregationFunctionParameters" } ), property_name="propertyName", property_role="propertyRole", property_usage="propertyUsage" )
Attributes
- field_name
The name of the entity.
- metric
The definition of a metric.
- property_name
The property name to be used for the named entity.
- property_role
The property role.
Valid values for this structure are
PRIMARYandID.
- property_usage
The property usage.
Valid values for this structure are
INHERIT,DIMENSION, andMEASURE.
NegativeFormatProperty
- class CfnTopicPropsMixin.NegativeFormatProperty(*, prefix=None, suffix=None)
Bases:
objectA structure that represents a negative format.
- Parameters:
prefix (
Optional[str]) – The prefix for a negative format.suffix (
Optional[str]) – The suffix for a negative format.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins negative_format_property = quicksight_mixins.CfnTopicPropsMixin.NegativeFormatProperty( prefix="prefix", suffix="suffix" )
Attributes
- prefix
The prefix for a negative format.
- suffix
The suffix for a negative format.
RangeConstantProperty
- class CfnTopicPropsMixin.RangeConstantProperty(*, maximum=None, minimum=None)
Bases:
objectThe value of the constant that is used to specify the endpoints of a range filter.
- Parameters:
maximum (
Optional[str]) – The maximum value for a range constant.minimum (
Optional[str]) – The minimum value for a range constant.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins range_constant_property = quicksight_mixins.CfnTopicPropsMixin.RangeConstantProperty( maximum="maximum", minimum="minimum" )
Attributes
- maximum
The maximum value for a range constant.
- minimum
The minimum value for a range constant.
SemanticEntityTypeProperty
- class CfnTopicPropsMixin.SemanticEntityTypeProperty(*, sub_type_name=None, type_name=None, type_parameters=None)
Bases:
objectA structure that represents a semantic entity type.
- Parameters:
sub_type_name (
Optional[str]) – The semantic entity sub type name.type_name (
Optional[str]) – The semantic entity type name.type_parameters (
Union[Mapping[str,str],IResolvable,None]) – The semantic entity type parameters.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins semantic_entity_type_property = quicksight_mixins.CfnTopicPropsMixin.SemanticEntityTypeProperty( sub_type_name="subTypeName", type_name="typeName", type_parameters={ "type_parameters_key": "typeParameters" } )
Attributes
- sub_type_name
The semantic entity sub type name.
- type_name
The semantic entity type name.
- type_parameters
The semantic entity type parameters.
SemanticTypeProperty
- class CfnTopicPropsMixin.SemanticTypeProperty(*, falsey_cell_value=None, falsey_cell_value_synonyms=None, sub_type_name=None, truthy_cell_value=None, truthy_cell_value_synonyms=None, type_name=None, type_parameters=None)
Bases:
objectA structure that represents a semantic type.
- Parameters:
falsey_cell_value (
Optional[str]) – The semantic type falsey cell value.falsey_cell_value_synonyms (
Optional[Sequence[str]]) – The other names or aliases for the false cell value.sub_type_name (
Optional[str]) – The semantic type sub type name.truthy_cell_value (
Optional[str]) – The semantic type truthy cell value.truthy_cell_value_synonyms (
Optional[Sequence[str]]) – The other names or aliases for the true cell value.type_name (
Optional[str]) – The semantic type name.type_parameters (
Union[Mapping[str,str],IResolvable,None]) – The semantic type parameters.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins semantic_type_property = quicksight_mixins.CfnTopicPropsMixin.SemanticTypeProperty( falsey_cell_value="falseyCellValue", falsey_cell_value_synonyms=["falseyCellValueSynonyms"], sub_type_name="subTypeName", truthy_cell_value="truthyCellValue", truthy_cell_value_synonyms=["truthyCellValueSynonyms"], type_name="typeName", type_parameters={ "type_parameters_key": "typeParameters" } )
Attributes
- falsey_cell_value
The semantic type falsey cell value.
- falsey_cell_value_synonyms
The other names or aliases for the false cell value.
- sub_type_name
The semantic type sub type name.
- truthy_cell_value
The semantic type truthy cell value.
- truthy_cell_value_synonyms
The other names or aliases for the true cell value.
- type_name
The semantic type name.
- type_parameters
The semantic type parameters.
TopicCalculatedFieldProperty
- class CfnTopicPropsMixin.TopicCalculatedFieldProperty(*, aggregation=None, allowed_aggregations=None, calculated_field_description=None, calculated_field_name=None, calculated_field_synonyms=None, cell_value_synonyms=None, column_data_role=None, comparative_order=None, default_formatting=None, disable_indexing=None, expression=None, is_included_in_topic=None, never_aggregate_in_filter=None, non_additive=None, not_allowed_aggregations=None, semantic_type=None, time_granularity=None)
Bases:
objectA structure that represents a calculated field.
- Parameters:
aggregation (
Optional[str]) – The default aggregation. Valid values for this structure areSUM,MAX,MIN,COUNT,DISTINCT_COUNT, andAVERAGE.allowed_aggregations (
Optional[Sequence[str]]) – The list of aggregation types that are allowed for the calculated field. Valid values for this structure areCOUNT,DISTINCT_COUNT,MIN,MAX,MEDIAN,SUM,AVERAGE,STDEV,STDEVP,VAR,VARP, andPERCENTILE.calculated_field_description (
Optional[str]) – The calculated field description.calculated_field_name (
Optional[str]) – The calculated field name.calculated_field_synonyms (
Optional[Sequence[str]]) – The other names or aliases for the calculated field.cell_value_synonyms (
Union[IResolvable,Sequence[Union[IResolvable,CellValueSynonymProperty,Dict[str,Any]]],None]) – The other names or aliases for the calculated field cell value.column_data_role (
Optional[str]) – The column data role for a calculated field. Valid values for this structure areDIMENSIONandMEASURE.comparative_order (
Union[IResolvable,ComparativeOrderProperty,Dict[str,Any],None]) – The order in which data is displayed for the calculated field when it’s used in a comparative context.default_formatting (
Union[IResolvable,DefaultFormattingProperty,Dict[str,Any],None]) – The default formatting definition.disable_indexing (
Union[bool,IResolvable,None]) – A Boolean value that indicates if a calculated field is visible in the autocomplete.expression (
Optional[str]) – The calculated field expression.is_included_in_topic (
Union[bool,IResolvable,None]) – A boolean value that indicates if a calculated field is included in the topic. Default: - falsenever_aggregate_in_filter (
Union[bool,IResolvable,None]) – A Boolean value that indicates whether to never aggregate calculated field in filters. Default: - falsenon_additive (
Union[bool,IResolvable,None]) – The non additive for the table style target. Default: - falsenot_allowed_aggregations (
Optional[Sequence[str]]) – The list of aggregation types that are not allowed for the calculated field. Valid values for this structure areCOUNT,DISTINCT_COUNT,MIN,MAX,MEDIAN,SUM,AVERAGE,STDEV,STDEVP,VAR,VARP, andPERCENTILE.semantic_type (
Union[IResolvable,SemanticTypeProperty,Dict[str,Any],None]) – The semantic type.time_granularity (
Optional[str]) – The level of time precision that is used to aggregateDateTimevalues.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins topic_calculated_field_property = quicksight_mixins.CfnTopicPropsMixin.TopicCalculatedFieldProperty( aggregation="aggregation", allowed_aggregations=["allowedAggregations"], calculated_field_description="calculatedFieldDescription", calculated_field_name="calculatedFieldName", calculated_field_synonyms=["calculatedFieldSynonyms"], cell_value_synonyms=[quicksight_mixins.CfnTopicPropsMixin.CellValueSynonymProperty( cell_value="cellValue", synonyms=["synonyms"] )], column_data_role="columnDataRole", comparative_order=quicksight_mixins.CfnTopicPropsMixin.ComparativeOrderProperty( specifed_order=["specifedOrder"], treat_undefined_specified_values="treatUndefinedSpecifiedValues", use_ordering="useOrdering" ), default_formatting=quicksight_mixins.CfnTopicPropsMixin.DefaultFormattingProperty( display_format="displayFormat", display_format_options=quicksight_mixins.CfnTopicPropsMixin.DisplayFormatOptionsProperty( blank_cell_format="blankCellFormat", currency_symbol="currencySymbol", date_format="dateFormat", decimal_separator="decimalSeparator", fraction_digits=123, grouping_separator="groupingSeparator", negative_format=quicksight_mixins.CfnTopicPropsMixin.NegativeFormatProperty( prefix="prefix", suffix="suffix" ), prefix="prefix", suffix="suffix", unit_scaler="unitScaler", use_blank_cell_format=False, use_grouping=False ) ), disable_indexing=False, expression="expression", is_included_in_topic=False, never_aggregate_in_filter=False, non_additive=False, not_allowed_aggregations=["notAllowedAggregations"], semantic_type=quicksight_mixins.CfnTopicPropsMixin.SemanticTypeProperty( falsey_cell_value="falseyCellValue", falsey_cell_value_synonyms=["falseyCellValueSynonyms"], sub_type_name="subTypeName", truthy_cell_value="truthyCellValue", truthy_cell_value_synonyms=["truthyCellValueSynonyms"], type_name="typeName", type_parameters={ "type_parameters_key": "typeParameters" } ), time_granularity="timeGranularity" )
Attributes
- aggregation
The default aggregation.
Valid values for this structure are
SUM,MAX,MIN,COUNT,DISTINCT_COUNT, andAVERAGE.
- allowed_aggregations
The list of aggregation types that are allowed for the calculated field.
Valid values for this structure are
COUNT,DISTINCT_COUNT,MIN,MAX,MEDIAN,SUM,AVERAGE,STDEV,STDEVP,VAR,VARP, andPERCENTILE.
- calculated_field_description
The calculated field description.
- calculated_field_name
The calculated field name.
- calculated_field_synonyms
The other names or aliases for the calculated field.
- cell_value_synonyms
The other names or aliases for the calculated field cell value.
- column_data_role
The column data role for a calculated field.
Valid values for this structure are
DIMENSIONandMEASURE.
- comparative_order
The order in which data is displayed for the calculated field when it’s used in a comparative context.
- default_formatting
The default formatting definition.
- disable_indexing
A Boolean value that indicates if a calculated field is visible in the autocomplete.
- expression
The calculated field expression.
- is_included_in_topic
A boolean value that indicates if a calculated field is included in the topic.
- never_aggregate_in_filter
A Boolean value that indicates whether to never aggregate calculated field in filters.
- non_additive
The non additive for the table style target.
- not_allowed_aggregations
The list of aggregation types that are not allowed for the calculated field.
Valid values for this structure are
COUNT,DISTINCT_COUNT,MIN,MAX,MEDIAN,SUM,AVERAGE,STDEV,STDEVP,VAR,VARP, andPERCENTILE.
- semantic_type
The semantic type.
- time_granularity
The level of time precision that is used to aggregate
DateTimevalues.
TopicCategoryFilterConstantProperty
- class CfnTopicPropsMixin.TopicCategoryFilterConstantProperty(*, collective_constant=None, constant_type=None, singular_constant=None)
Bases:
objectA constant used in a category filter.
- Parameters:
collective_constant (
Union[IResolvable,CollectiveConstantProperty,Dict[str,Any],None]) – A collective constant used in a category filter. This element is used to specify a list of values for the constant.constant_type (
Optional[str]) – The type of category filter constant. This element is used to specify whether a constant is a singular or collective. Valid values areSINGULARandCOLLECTIVE.singular_constant (
Optional[str]) – A singular constant used in a category filter. This element is used to specify a single value for the constant.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins topic_category_filter_constant_property = quicksight_mixins.CfnTopicPropsMixin.TopicCategoryFilterConstantProperty( collective_constant=quicksight_mixins.CfnTopicPropsMixin.CollectiveConstantProperty( value_list=["valueList"] ), constant_type="constantType", singular_constant="singularConstant" )
Attributes
- collective_constant
A collective constant used in a category filter.
This element is used to specify a list of values for the constant.
- constant_type
The type of category filter constant.
This element is used to specify whether a constant is a singular or collective. Valid values are
SINGULARandCOLLECTIVE.
- singular_constant
A singular constant used in a category filter.
This element is used to specify a single value for the constant.
TopicCategoryFilterProperty
- class CfnTopicPropsMixin.TopicCategoryFilterProperty(*, category_filter_function=None, category_filter_type=None, constant=None, inverse=None)
Bases:
objectA structure that represents a category filter.
- Parameters:
category_filter_function (
Optional[str]) – The category filter function. Valid values for this structure areEXACTandCONTAINS.category_filter_type (
Optional[str]) – The category filter type. This element is used to specify whether a filter is a simple category filter or an inverse category filter.constant (
Union[IResolvable,TopicCategoryFilterConstantProperty,Dict[str,Any],None]) – The constant used in a category filter.inverse (
Union[bool,IResolvable,None]) – A Boolean value that indicates if the filter is inverse. Default: - false
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins topic_category_filter_property = quicksight_mixins.CfnTopicPropsMixin.TopicCategoryFilterProperty( category_filter_function="categoryFilterFunction", category_filter_type="categoryFilterType", constant=quicksight_mixins.CfnTopicPropsMixin.TopicCategoryFilterConstantProperty( collective_constant=quicksight_mixins.CfnTopicPropsMixin.CollectiveConstantProperty( value_list=["valueList"] ), constant_type="constantType", singular_constant="singularConstant" ), inverse=False )
Attributes
- category_filter_function
The category filter function.
Valid values for this structure are
EXACTandCONTAINS.
- category_filter_type
The category filter type.
This element is used to specify whether a filter is a simple category filter or an inverse category filter.
- constant
The constant used in a category filter.
- inverse
A Boolean value that indicates if the filter is inverse.
TopicColumnProperty
- class CfnTopicPropsMixin.TopicColumnProperty(*, aggregation=None, allowed_aggregations=None, cell_value_synonyms=None, column_data_role=None, column_description=None, column_friendly_name=None, column_name=None, column_synonyms=None, comparative_order=None, default_formatting=None, disable_indexing=None, is_included_in_topic=None, never_aggregate_in_filter=None, non_additive=None, not_allowed_aggregations=None, semantic_type=None, time_granularity=None)
Bases:
objectRepresents a column in a dataset.
- Parameters:
aggregation (
Optional[str]) – The type of aggregation that is performed on the column data when it’s queried.allowed_aggregations (
Optional[Sequence[str]]) – The list of aggregation types that are allowed for the column. Valid values for this structure areCOUNT,DISTINCT_COUNT,MIN,MAX,MEDIAN,SUM,AVERAGE,STDEV,STDEVP,VAR,VARP, andPERCENTILE.cell_value_synonyms (
Union[IResolvable,Sequence[Union[IResolvable,CellValueSynonymProperty,Dict[str,Any]]],None]) – The other names or aliases for the column cell value.column_data_role (
Optional[str]) – The role of the column in the data. Valid values areDIMENSIONandMEASURE.column_description (
Optional[str]) – A description of the column and its contents.column_friendly_name (
Optional[str]) – A user-friendly name for the column.column_name (
Optional[str]) – The name of the column.column_synonyms (
Optional[Sequence[str]]) – The other names or aliases for the column.comparative_order (
Union[IResolvable,ComparativeOrderProperty,Dict[str,Any],None]) – The order in which data is displayed for the column when it’s used in a comparative context.default_formatting (
Union[IResolvable,DefaultFormattingProperty,Dict[str,Any],None]) – The default formatting used for values in the column.disable_indexing (
Union[bool,IResolvable,None]) – A Boolean value that indicates whether the column shows in the autocomplete functionality.is_included_in_topic (
Union[bool,IResolvable,None]) – A Boolean value that indicates whether the column is included in the query results. Default: - falsenever_aggregate_in_filter (
Union[bool,IResolvable,None]) – A Boolean value that indicates whether to aggregate the column data when it’s used in a filter context. Default: - falsenon_additive (
Union[bool,IResolvable,None]) – The non additive value for the column. Default: - falsenot_allowed_aggregations (
Optional[Sequence[str]]) – The list of aggregation types that are not allowed for the column. Valid values for this structure areCOUNT,DISTINCT_COUNT,MIN,MAX,MEDIAN,SUM,AVERAGE,STDEV,STDEVP,VAR,VARP, andPERCENTILE.semantic_type (
Union[IResolvable,SemanticTypeProperty,Dict[str,Any],None]) – The semantic type of data contained in the column.time_granularity (
Optional[str]) – The level of time precision that is used to aggregateDateTimevalues.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins topic_column_property = quicksight_mixins.CfnTopicPropsMixin.TopicColumnProperty( aggregation="aggregation", allowed_aggregations=["allowedAggregations"], cell_value_synonyms=[quicksight_mixins.CfnTopicPropsMixin.CellValueSynonymProperty( cell_value="cellValue", synonyms=["synonyms"] )], column_data_role="columnDataRole", column_description="columnDescription", column_friendly_name="columnFriendlyName", column_name="columnName", column_synonyms=["columnSynonyms"], comparative_order=quicksight_mixins.CfnTopicPropsMixin.ComparativeOrderProperty( specifed_order=["specifedOrder"], treat_undefined_specified_values="treatUndefinedSpecifiedValues", use_ordering="useOrdering" ), default_formatting=quicksight_mixins.CfnTopicPropsMixin.DefaultFormattingProperty( display_format="displayFormat", display_format_options=quicksight_mixins.CfnTopicPropsMixin.DisplayFormatOptionsProperty( blank_cell_format="blankCellFormat", currency_symbol="currencySymbol", date_format="dateFormat", decimal_separator="decimalSeparator", fraction_digits=123, grouping_separator="groupingSeparator", negative_format=quicksight_mixins.CfnTopicPropsMixin.NegativeFormatProperty( prefix="prefix", suffix="suffix" ), prefix="prefix", suffix="suffix", unit_scaler="unitScaler", use_blank_cell_format=False, use_grouping=False ) ), disable_indexing=False, is_included_in_topic=False, never_aggregate_in_filter=False, non_additive=False, not_allowed_aggregations=["notAllowedAggregations"], semantic_type=quicksight_mixins.CfnTopicPropsMixin.SemanticTypeProperty( falsey_cell_value="falseyCellValue", falsey_cell_value_synonyms=["falseyCellValueSynonyms"], sub_type_name="subTypeName", truthy_cell_value="truthyCellValue", truthy_cell_value_synonyms=["truthyCellValueSynonyms"], type_name="typeName", type_parameters={ "type_parameters_key": "typeParameters" } ), time_granularity="timeGranularity" )
Attributes
- aggregation
The type of aggregation that is performed on the column data when it’s queried.
- allowed_aggregations
The list of aggregation types that are allowed for the column.
Valid values for this structure are
COUNT,DISTINCT_COUNT,MIN,MAX,MEDIAN,SUM,AVERAGE,STDEV,STDEVP,VAR,VARP, andPERCENTILE.
- cell_value_synonyms
The other names or aliases for the column cell value.
- column_data_role
The role of the column in the data.
Valid values are
DIMENSIONandMEASURE.
- column_description
A description of the column and its contents.
- column_friendly_name
A user-friendly name for the column.
- column_name
The name of the column.
- column_synonyms
The other names or aliases for the column.
- comparative_order
The order in which data is displayed for the column when it’s used in a comparative context.
- default_formatting
The default formatting used for values in the column.
- disable_indexing
A Boolean value that indicates whether the column shows in the autocomplete functionality.
- is_included_in_topic
A Boolean value that indicates whether the column is included in the query results.
- never_aggregate_in_filter
A Boolean value that indicates whether to aggregate the column data when it’s used in a filter context.
- non_additive
The non additive value for the column.
- not_allowed_aggregations
The list of aggregation types that are not allowed for the column.
Valid values for this structure are
COUNT,DISTINCT_COUNT,MIN,MAX,MEDIAN,SUM,AVERAGE,STDEV,STDEVP,VAR,VARP, andPERCENTILE.
- semantic_type
The semantic type of data contained in the column.
- time_granularity
The level of time precision that is used to aggregate
DateTimevalues.
TopicConfigOptionsProperty
- class CfnTopicPropsMixin.TopicConfigOptionsProperty(*, q_business_insights_enabled=None)
Bases:
objectConfiguration options for a
Topic.- Parameters:
q_business_insights_enabled (
Union[bool,IResolvable,None]) – Enables Amazon Q Business Insights for aTopic.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins topic_config_options_property = quicksight_mixins.CfnTopicPropsMixin.TopicConfigOptionsProperty( q_business_insights_enabled=False )
Attributes
- q_business_insights_enabled
Enables Amazon Q Business Insights for a
Topic.
TopicDateRangeFilterProperty
- class CfnTopicPropsMixin.TopicDateRangeFilterProperty(*, constant=None, inclusive=None)
Bases:
objectA filter used to restrict data based on a range of dates or times.
- Parameters:
constant (
Union[IResolvable,TopicRangeFilterConstantProperty,Dict[str,Any],None]) – The constant used in a date range filter.inclusive (
Union[bool,IResolvable,None]) – A Boolean value that indicates whether the date range filter should include the boundary values. If set to true, the filter includes the start and end dates. If set to false, the filter excludes them. Default: - false
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins topic_date_range_filter_property = quicksight_mixins.CfnTopicPropsMixin.TopicDateRangeFilterProperty( constant=quicksight_mixins.CfnTopicPropsMixin.TopicRangeFilterConstantProperty( constant_type="constantType", range_constant=quicksight_mixins.CfnTopicPropsMixin.RangeConstantProperty( maximum="maximum", minimum="minimum" ) ), inclusive=False )
Attributes
- constant
The constant used in a date range filter.
- inclusive
A Boolean value that indicates whether the date range filter should include the boundary values.
If set to true, the filter includes the start and end dates. If set to false, the filter excludes them.
TopicFilterProperty
- class CfnTopicPropsMixin.TopicFilterProperty(*, category_filter=None, date_range_filter=None, filter_class=None, filter_description=None, filter_name=None, filter_synonyms=None, filter_type=None, numeric_equality_filter=None, numeric_range_filter=None, operand_field_name=None, relative_date_filter=None)
Bases:
objectA structure that represents a filter used to select items for a topic.
- Parameters:
category_filter (
Union[IResolvable,TopicCategoryFilterProperty,Dict[str,Any],None]) – The category filter that is associated with this filter.date_range_filter (
Union[IResolvable,TopicDateRangeFilterProperty,Dict[str,Any],None]) – The date range filter.filter_class (
Optional[str]) – The class of the filter. Valid values for this structure areENFORCED_VALUE_FILTER,CONDITIONAL_VALUE_FILTER, andNAMED_VALUE_FILTER.filter_description (
Optional[str]) – A description of the filter used to select items for a topic.filter_name (
Optional[str]) – The name of the filter.filter_synonyms (
Optional[Sequence[str]]) – The other names or aliases for the filter.filter_type (
Optional[str]) – The type of the filter. Valid values for this structure areCATEGORY_FILTER,NUMERIC_EQUALITY_FILTER,NUMERIC_RANGE_FILTER,DATE_RANGE_FILTER, andRELATIVE_DATE_FILTER.numeric_equality_filter (
Union[IResolvable,TopicNumericEqualityFilterProperty,Dict[str,Any],None]) – The numeric equality filter.numeric_range_filter (
Union[IResolvable,TopicNumericRangeFilterProperty,Dict[str,Any],None]) – The numeric range filter.operand_field_name (
Optional[str]) – The name of the field that the filter operates on.relative_date_filter (
Union[IResolvable,TopicRelativeDateFilterProperty,Dict[str,Any],None]) – The relative date filter.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins topic_filter_property = quicksight_mixins.CfnTopicPropsMixin.TopicFilterProperty( category_filter=quicksight_mixins.CfnTopicPropsMixin.TopicCategoryFilterProperty( category_filter_function="categoryFilterFunction", category_filter_type="categoryFilterType", constant=quicksight_mixins.CfnTopicPropsMixin.TopicCategoryFilterConstantProperty( collective_constant=quicksight_mixins.CfnTopicPropsMixin.CollectiveConstantProperty( value_list=["valueList"] ), constant_type="constantType", singular_constant="singularConstant" ), inverse=False ), date_range_filter=quicksight_mixins.CfnTopicPropsMixin.TopicDateRangeFilterProperty( constant=quicksight_mixins.CfnTopicPropsMixin.TopicRangeFilterConstantProperty( constant_type="constantType", range_constant=quicksight_mixins.CfnTopicPropsMixin.RangeConstantProperty( maximum="maximum", minimum="minimum" ) ), inclusive=False ), filter_class="filterClass", filter_description="filterDescription", filter_name="filterName", filter_synonyms=["filterSynonyms"], filter_type="filterType", numeric_equality_filter=quicksight_mixins.CfnTopicPropsMixin.TopicNumericEqualityFilterProperty( aggregation="aggregation", constant=quicksight_mixins.CfnTopicPropsMixin.TopicSingularFilterConstantProperty( constant_type="constantType", singular_constant="singularConstant" ) ), numeric_range_filter=quicksight_mixins.CfnTopicPropsMixin.TopicNumericRangeFilterProperty( aggregation="aggregation", constant=quicksight_mixins.CfnTopicPropsMixin.TopicRangeFilterConstantProperty( constant_type="constantType", range_constant=quicksight_mixins.CfnTopicPropsMixin.RangeConstantProperty( maximum="maximum", minimum="minimum" ) ), inclusive=False ), operand_field_name="operandFieldName", relative_date_filter=quicksight_mixins.CfnTopicPropsMixin.TopicRelativeDateFilterProperty( constant=quicksight_mixins.CfnTopicPropsMixin.TopicSingularFilterConstantProperty( constant_type="constantType", singular_constant="singularConstant" ), relative_date_filter_function="relativeDateFilterFunction", time_granularity="timeGranularity" ) )
Attributes
- category_filter
The category filter that is associated with this filter.
- date_range_filter
The date range filter.
- filter_class
The class of the filter.
Valid values for this structure are
ENFORCED_VALUE_FILTER,CONDITIONAL_VALUE_FILTER, andNAMED_VALUE_FILTER.
- filter_description
A description of the filter used to select items for a topic.
- filter_name
The name of the filter.
- filter_synonyms
The other names or aliases for the filter.
- filter_type
The type of the filter.
Valid values for this structure are
CATEGORY_FILTER,NUMERIC_EQUALITY_FILTER,NUMERIC_RANGE_FILTER,DATE_RANGE_FILTER, andRELATIVE_DATE_FILTER.
- numeric_equality_filter
The numeric equality filter.
- numeric_range_filter
The numeric range filter.
- operand_field_name
The name of the field that the filter operates on.
- relative_date_filter
The relative date filter.
TopicNamedEntityProperty
- class CfnTopicPropsMixin.TopicNamedEntityProperty(*, definition=None, entity_description=None, entity_name=None, entity_synonyms=None, semantic_entity_type=None)
Bases:
objectA structure that represents a named entity.
- Parameters:
definition (
Union[IResolvable,Sequence[Union[IResolvable,NamedEntityDefinitionProperty,Dict[str,Any]]],None]) – The definition of a named entity.entity_description (
Optional[str]) – The description of the named entity.entity_name (
Optional[str]) – The name of the named entity.entity_synonyms (
Optional[Sequence[str]]) – The other names or aliases for the named entity.semantic_entity_type (
Union[IResolvable,SemanticEntityTypeProperty,Dict[str,Any],None]) – The type of named entity that a topic represents.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins topic_named_entity_property = quicksight_mixins.CfnTopicPropsMixin.TopicNamedEntityProperty( definition=[quicksight_mixins.CfnTopicPropsMixin.NamedEntityDefinitionProperty( field_name="fieldName", metric=quicksight_mixins.CfnTopicPropsMixin.NamedEntityDefinitionMetricProperty( aggregation="aggregation", aggregation_function_parameters={ "aggregation_function_parameters_key": "aggregationFunctionParameters" } ), property_name="propertyName", property_role="propertyRole", property_usage="propertyUsage" )], entity_description="entityDescription", entity_name="entityName", entity_synonyms=["entitySynonyms"], semantic_entity_type=quicksight_mixins.CfnTopicPropsMixin.SemanticEntityTypeProperty( sub_type_name="subTypeName", type_name="typeName", type_parameters={ "type_parameters_key": "typeParameters" } ) )
Attributes
- definition
The definition of a named entity.
- entity_description
The description of the named entity.
- entity_name
The name of the named entity.
- entity_synonyms
The other names or aliases for the named entity.
- semantic_entity_type
The type of named entity that a topic represents.
TopicNumericEqualityFilterProperty
- class CfnTopicPropsMixin.TopicNumericEqualityFilterProperty(*, aggregation=None, constant=None)
Bases:
objectA filter that filters topics based on the value of a numeric field.
The filter includes only topics whose numeric field value matches the specified value.
- Parameters:
aggregation (
Optional[str]) – An aggregation function that specifies how to calculate the value of a numeric field for a topic. Valid values for this structure areNO_AGGREGATION,SUM,AVERAGE,COUNT,DISTINCT_COUNT,MAX,MEDIAN,MIN,STDEV,STDEVP,VAR, andVARP.constant (
Union[IResolvable,TopicSingularFilterConstantProperty,Dict[str,Any],None]) – The constant used in a numeric equality filter.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins topic_numeric_equality_filter_property = quicksight_mixins.CfnTopicPropsMixin.TopicNumericEqualityFilterProperty( aggregation="aggregation", constant=quicksight_mixins.CfnTopicPropsMixin.TopicSingularFilterConstantProperty( constant_type="constantType", singular_constant="singularConstant" ) )
Attributes
- aggregation
An aggregation function that specifies how to calculate the value of a numeric field for a topic.
Valid values for this structure are
NO_AGGREGATION,SUM,AVERAGE,COUNT,DISTINCT_COUNT,MAX,MEDIAN,MIN,STDEV,STDEVP,VAR, andVARP.
- constant
The constant used in a numeric equality filter.
TopicNumericRangeFilterProperty
- class CfnTopicPropsMixin.TopicNumericRangeFilterProperty(*, aggregation=None, constant=None, inclusive=None)
Bases:
objectA filter that filters topics based on the value of a numeric field.
The filter includes only topics whose numeric field value falls within the specified range.
- Parameters:
aggregation (
Optional[str]) – An aggregation function that specifies how to calculate the value of a numeric field for a topic, Valid values for this structure areNO_AGGREGATION,SUM,AVERAGE,COUNT,DISTINCT_COUNT,MAX,MEDIAN,MIN,STDEV,STDEVP,VAR, andVARP.constant (
Union[IResolvable,TopicRangeFilterConstantProperty,Dict[str,Any],None]) – The constant used in a numeric range filter.inclusive (
Union[bool,IResolvable,None]) – A Boolean value that indicates whether the endpoints of the numeric range are included in the filter. If set to true, topics whose numeric field value is equal to the endpoint values will be included in the filter. If set to false, topics whose numeric field value is equal to the endpoint values will be excluded from the filter. Default: - false
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins topic_numeric_range_filter_property = quicksight_mixins.CfnTopicPropsMixin.TopicNumericRangeFilterProperty( aggregation="aggregation", constant=quicksight_mixins.CfnTopicPropsMixin.TopicRangeFilterConstantProperty( constant_type="constantType", range_constant=quicksight_mixins.CfnTopicPropsMixin.RangeConstantProperty( maximum="maximum", minimum="minimum" ) ), inclusive=False )
Attributes
- aggregation
An aggregation function that specifies how to calculate the value of a numeric field for a topic, Valid values for this structure are
NO_AGGREGATION,SUM,AVERAGE,COUNT,DISTINCT_COUNT,MAX,MEDIAN,MIN,STDEV,STDEVP,VAR, andVARP.
- constant
The constant used in a numeric range filter.
- inclusive
A Boolean value that indicates whether the endpoints of the numeric range are included in the filter.
If set to true, topics whose numeric field value is equal to the endpoint values will be included in the filter. If set to false, topics whose numeric field value is equal to the endpoint values will be excluded from the filter.
TopicRangeFilterConstantProperty
- class CfnTopicPropsMixin.TopicRangeFilterConstantProperty(*, constant_type=None, range_constant=None)
Bases:
objectA constant value that is used in a range filter to specify the endpoints of the range.
- Parameters:
constant_type (
Optional[str]) – The data type of the constant value that is used in a range filter. Valid values for this structure areRANGE.range_constant (
Union[IResolvable,RangeConstantProperty,Dict[str,Any],None]) – The value of the constant that is used to specify the endpoints of a range filter.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins topic_range_filter_constant_property = quicksight_mixins.CfnTopicPropsMixin.TopicRangeFilterConstantProperty( constant_type="constantType", range_constant=quicksight_mixins.CfnTopicPropsMixin.RangeConstantProperty( maximum="maximum", minimum="minimum" ) )
Attributes
- constant_type
The data type of the constant value that is used in a range filter.
Valid values for this structure are
RANGE.
- range_constant
The value of the constant that is used to specify the endpoints of a range filter.
TopicRelativeDateFilterProperty
- class CfnTopicPropsMixin.TopicRelativeDateFilterProperty(*, constant=None, relative_date_filter_function=None, time_granularity=None)
Bases:
objectA structure that represents a relative date filter.
- Parameters:
constant (
Union[IResolvable,TopicSingularFilterConstantProperty,Dict[str,Any],None]) – The constant used in a relative date filter.relative_date_filter_function (
Optional[str]) – The function to be used in a relative date filter to determine the range of dates to include in the results. Valid values for this structure areBEFORE,AFTER, andBETWEEN.time_granularity (
Optional[str]) – The level of time precision that is used to aggregateDateTimevalues.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins topic_relative_date_filter_property = quicksight_mixins.CfnTopicPropsMixin.TopicRelativeDateFilterProperty( constant=quicksight_mixins.CfnTopicPropsMixin.TopicSingularFilterConstantProperty( constant_type="constantType", singular_constant="singularConstant" ), relative_date_filter_function="relativeDateFilterFunction", time_granularity="timeGranularity" )
Attributes
- constant
The constant used in a relative date filter.
- relative_date_filter_function
The function to be used in a relative date filter to determine the range of dates to include in the results.
Valid values for this structure are
BEFORE,AFTER, andBETWEEN.
- time_granularity
The level of time precision that is used to aggregate
DateTimevalues.
TopicSingularFilterConstantProperty
- class CfnTopicPropsMixin.TopicSingularFilterConstantProperty(*, constant_type=None, singular_constant=None)
Bases:
objectA structure that represents a singular filter constant, used in filters to specify a single value to match against.
- Parameters:
constant_type (
Optional[str]) – The type of the singular filter constant. Valid values for this structure areSINGULAR.singular_constant (
Optional[str]) – The value of the singular filter constant.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_quicksight import mixins as quicksight_mixins topic_singular_filter_constant_property = quicksight_mixins.CfnTopicPropsMixin.TopicSingularFilterConstantProperty( constant_type="constantType", singular_constant="singularConstant" )
Attributes
- constant_type
The type of the singular filter constant.
Valid values for this structure are
SINGULAR.
- singular_constant
The value of the singular filter constant.