Class: Google::Cloud::VisionAI::V1::FacetProperty

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/visionai/v1/warehouse.rb

Overview

Central configuration for a facet.

Defined Under Namespace

Classes: CustomRangeBucketSpec, DateTimeBucketSpec, FixedRangeBucketSpec

Instance Attribute Summary collapse

Instance Attribute Details

#bucket_type ⇒ ::Google::Cloud::VisionAI::V1::FacetBucketType

Returns Facet bucket type e.g. value, range.

Returns:



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# File 'proto_docs/google/cloud/visionai/v1/warehouse.rb', line 2190

class FacetProperty
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # If bucket type is FIXED_RANGE, specify how values are bucketized. Use
  # FixedRangeBucketSpec when you want to create multiple buckets with equal
  # granularities. Using integer bucket value as an example, when
  # bucket_start = 0, bucket_granularity = 10, bucket_count = 5, this facet
  # will be aggregated via the following buckets:
  # [-inf, 0), [0, 10), [10, 20), [20, 30), [30, inf).
  # Notably, bucket_count <= 1 is an invalid spec.
  # @!attribute [rw] bucket_start
  #   @return [::Google::Cloud::VisionAI::V1::FacetValue]
  #     Lower bound of the bucket. NOTE: Only integer type is currently supported
  #     for this field.
  # @!attribute [rw] bucket_granularity
  #   @return [::Google::Cloud::VisionAI::V1::FacetValue]
  #     Bucket granularity. NOTE: Only integer type is currently supported for
  #     this field.
  # @!attribute [rw] bucket_count
  #   @return [::Integer]
  #     Total number of buckets.
  class FixedRangeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # If bucket type is CUSTOM_RANGE, specify how values are bucketized. Use
  # integer bucket value as an example, when the endpoints are 0, 10, 100, and
  # 1000, we will generate the following facets:
  # [-inf, 0), [0, 10), [10, 100), [100, 1000), [1000, inf).
  # Notably:
  # - endpoints must be listed in ascending order. Otherwise, the SearchConfig
  #   API will reject the facet config.
  # - < 1 endpoints is an invalid spec.
  # @!attribute [rw] endpoints
  #   @return [::Array<::Google::Cloud::VisionAI::V1::FacetValue>]
  #     Currently, only integer type is supported for this field.
  class CustomRangeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # If bucket type is DATE, specify how date values are bucketized.
  # @!attribute [rw] granularity
  #   @return [::Google::Cloud::VisionAI::V1::FacetProperty::DateTimeBucketSpec::Granularity]
  #     Granularity of date type facet.
  class DateTimeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Granularity enum for the datetime bucket.
    module Granularity
      # Unspecified granularity.
      GRANULARITY_UNSPECIFIED = 0

      # Granularity is year.
      YEAR = 1

      # Granularity is month.
      MONTH = 2

      # Granularity is day.
      DAY = 3
    end
  end
end

#custom_range_bucket_spec ⇒ ::Google::Cloud::VisionAI::V1::FacetProperty::CustomRangeBucketSpec

Returns Custom range facet bucket config.

Returns:



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# File 'proto_docs/google/cloud/visionai/v1/warehouse.rb', line 2190

class FacetProperty
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # If bucket type is FIXED_RANGE, specify how values are bucketized. Use
  # FixedRangeBucketSpec when you want to create multiple buckets with equal
  # granularities. Using integer bucket value as an example, when
  # bucket_start = 0, bucket_granularity = 10, bucket_count = 5, this facet
  # will be aggregated via the following buckets:
  # [-inf, 0), [0, 10), [10, 20), [20, 30), [30, inf).
  # Notably, bucket_count <= 1 is an invalid spec.
  # @!attribute [rw] bucket_start
  #   @return [::Google::Cloud::VisionAI::V1::FacetValue]
  #     Lower bound of the bucket. NOTE: Only integer type is currently supported
  #     for this field.
  # @!attribute [rw] bucket_granularity
  #   @return [::Google::Cloud::VisionAI::V1::FacetValue]
  #     Bucket granularity. NOTE: Only integer type is currently supported for
  #     this field.
  # @!attribute [rw] bucket_count
  #   @return [::Integer]
  #     Total number of buckets.
  class FixedRangeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # If bucket type is CUSTOM_RANGE, specify how values are bucketized. Use
  # integer bucket value as an example, when the endpoints are 0, 10, 100, and
  # 1000, we will generate the following facets:
  # [-inf, 0), [0, 10), [10, 100), [100, 1000), [1000, inf).
  # Notably:
  # - endpoints must be listed in ascending order. Otherwise, the SearchConfig
  #   API will reject the facet config.
  # - < 1 endpoints is an invalid spec.
  # @!attribute [rw] endpoints
  #   @return [::Array<::Google::Cloud::VisionAI::V1::FacetValue>]
  #     Currently, only integer type is supported for this field.
  class CustomRangeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # If bucket type is DATE, specify how date values are bucketized.
  # @!attribute [rw] granularity
  #   @return [::Google::Cloud::VisionAI::V1::FacetProperty::DateTimeBucketSpec::Granularity]
  #     Granularity of date type facet.
  class DateTimeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Granularity enum for the datetime bucket.
    module Granularity
      # Unspecified granularity.
      GRANULARITY_UNSPECIFIED = 0

      # Granularity is year.
      YEAR = 1

      # Granularity is month.
      MONTH = 2

      # Granularity is day.
      DAY = 3
    end
  end
end

#datetime_bucket_spec ⇒ ::Google::Cloud::VisionAI::V1::FacetProperty::DateTimeBucketSpec

Returns Datetime range facet bucket config.

Returns:



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# File 'proto_docs/google/cloud/visionai/v1/warehouse.rb', line 2190

class FacetProperty
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # If bucket type is FIXED_RANGE, specify how values are bucketized. Use
  # FixedRangeBucketSpec when you want to create multiple buckets with equal
  # granularities. Using integer bucket value as an example, when
  # bucket_start = 0, bucket_granularity = 10, bucket_count = 5, this facet
  # will be aggregated via the following buckets:
  # [-inf, 0), [0, 10), [10, 20), [20, 30), [30, inf).
  # Notably, bucket_count <= 1 is an invalid spec.
  # @!attribute [rw] bucket_start
  #   @return [::Google::Cloud::VisionAI::V1::FacetValue]
  #     Lower bound of the bucket. NOTE: Only integer type is currently supported
  #     for this field.
  # @!attribute [rw] bucket_granularity
  #   @return [::Google::Cloud::VisionAI::V1::FacetValue]
  #     Bucket granularity. NOTE: Only integer type is currently supported for
  #     this field.
  # @!attribute [rw] bucket_count
  #   @return [::Integer]
  #     Total number of buckets.
  class FixedRangeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # If bucket type is CUSTOM_RANGE, specify how values are bucketized. Use
  # integer bucket value as an example, when the endpoints are 0, 10, 100, and
  # 1000, we will generate the following facets:
  # [-inf, 0), [0, 10), [10, 100), [100, 1000), [1000, inf).
  # Notably:
  # - endpoints must be listed in ascending order. Otherwise, the SearchConfig
  #   API will reject the facet config.
  # - < 1 endpoints is an invalid spec.
  # @!attribute [rw] endpoints
  #   @return [::Array<::Google::Cloud::VisionAI::V1::FacetValue>]
  #     Currently, only integer type is supported for this field.
  class CustomRangeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # If bucket type is DATE, specify how date values are bucketized.
  # @!attribute [rw] granularity
  #   @return [::Google::Cloud::VisionAI::V1::FacetProperty::DateTimeBucketSpec::Granularity]
  #     Granularity of date type facet.
  class DateTimeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Granularity enum for the datetime bucket.
    module Granularity
      # Unspecified granularity.
      GRANULARITY_UNSPECIFIED = 0

      # Granularity is year.
      YEAR = 1

      # Granularity is month.
      MONTH = 2

      # Granularity is day.
      DAY = 3
    end
  end
end

#display_name ⇒ ::String

Returns Display name of the facet. To be used by UI for facet rendering.

Returns:

  • (::String) —

    Display name of the facet. To be used by UI for facet rendering.



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# File 'proto_docs/google/cloud/visionai/v1/warehouse.rb', line 2190

class FacetProperty
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # If bucket type is FIXED_RANGE, specify how values are bucketized. Use
  # FixedRangeBucketSpec when you want to create multiple buckets with equal
  # granularities. Using integer bucket value as an example, when
  # bucket_start = 0, bucket_granularity = 10, bucket_count = 5, this facet
  # will be aggregated via the following buckets:
  # [-inf, 0), [0, 10), [10, 20), [20, 30), [30, inf).
  # Notably, bucket_count <= 1 is an invalid spec.
  # @!attribute [rw] bucket_start
  #   @return [::Google::Cloud::VisionAI::V1::FacetValue]
  #     Lower bound of the bucket. NOTE: Only integer type is currently supported
  #     for this field.
  # @!attribute [rw] bucket_granularity
  #   @return [::Google::Cloud::VisionAI::V1::FacetValue]
  #     Bucket granularity. NOTE: Only integer type is currently supported for
  #     this field.
  # @!attribute [rw] bucket_count
  #   @return [::Integer]
  #     Total number of buckets.
  class FixedRangeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # If bucket type is CUSTOM_RANGE, specify how values are bucketized. Use
  # integer bucket value as an example, when the endpoints are 0, 10, 100, and
  # 1000, we will generate the following facets:
  # [-inf, 0), [0, 10), [10, 100), [100, 1000), [1000, inf).
  # Notably:
  # - endpoints must be listed in ascending order. Otherwise, the SearchConfig
  #   API will reject the facet config.
  # - < 1 endpoints is an invalid spec.
  # @!attribute [rw] endpoints
  #   @return [::Array<::Google::Cloud::VisionAI::V1::FacetValue>]
  #     Currently, only integer type is supported for this field.
  class CustomRangeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # If bucket type is DATE, specify how date values are bucketized.
  # @!attribute [rw] granularity
  #   @return [::Google::Cloud::VisionAI::V1::FacetProperty::DateTimeBucketSpec::Granularity]
  #     Granularity of date type facet.
  class DateTimeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Granularity enum for the datetime bucket.
    module Granularity
      # Unspecified granularity.
      GRANULARITY_UNSPECIFIED = 0

      # Granularity is year.
      YEAR = 1

      # Granularity is month.
      MONTH = 2

      # Granularity is day.
      DAY = 3
    end
  end
end

#fixed_range_bucket_spec ⇒ ::Google::Cloud::VisionAI::V1::FacetProperty::FixedRangeBucketSpec

Returns Fixed range facet bucket config.

Returns:



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# File 'proto_docs/google/cloud/visionai/v1/warehouse.rb', line 2190

class FacetProperty
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # If bucket type is FIXED_RANGE, specify how values are bucketized. Use
  # FixedRangeBucketSpec when you want to create multiple buckets with equal
  # granularities. Using integer bucket value as an example, when
  # bucket_start = 0, bucket_granularity = 10, bucket_count = 5, this facet
  # will be aggregated via the following buckets:
  # [-inf, 0), [0, 10), [10, 20), [20, 30), [30, inf).
  # Notably, bucket_count <= 1 is an invalid spec.
  # @!attribute [rw] bucket_start
  #   @return [::Google::Cloud::VisionAI::V1::FacetValue]
  #     Lower bound of the bucket. NOTE: Only integer type is currently supported
  #     for this field.
  # @!attribute [rw] bucket_granularity
  #   @return [::Google::Cloud::VisionAI::V1::FacetValue]
  #     Bucket granularity. NOTE: Only integer type is currently supported for
  #     this field.
  # @!attribute [rw] bucket_count
  #   @return [::Integer]
  #     Total number of buckets.
  class FixedRangeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # If bucket type is CUSTOM_RANGE, specify how values are bucketized. Use
  # integer bucket value as an example, when the endpoints are 0, 10, 100, and
  # 1000, we will generate the following facets:
  # [-inf, 0), [0, 10), [10, 100), [100, 1000), [1000, inf).
  # Notably:
  # - endpoints must be listed in ascending order. Otherwise, the SearchConfig
  #   API will reject the facet config.
  # - < 1 endpoints is an invalid spec.
  # @!attribute [rw] endpoints
  #   @return [::Array<::Google::Cloud::VisionAI::V1::FacetValue>]
  #     Currently, only integer type is supported for this field.
  class CustomRangeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # If bucket type is DATE, specify how date values are bucketized.
  # @!attribute [rw] granularity
  #   @return [::Google::Cloud::VisionAI::V1::FacetProperty::DateTimeBucketSpec::Granularity]
  #     Granularity of date type facet.
  class DateTimeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Granularity enum for the datetime bucket.
    module Granularity
      # Unspecified granularity.
      GRANULARITY_UNSPECIFIED = 0

      # Granularity is year.
      YEAR = 1

      # Granularity is month.
      MONTH = 2

      # Granularity is day.
      DAY = 3
    end
  end
end

#mapped_fields ⇒ ::Array<::String>

Returns Name of the facets, which are the dimensions users want to use to refine search results. mapped_fields will match UserSpecifiedDataSchema keys.

For example, user can add a bunch of UGAs with the same key, such as player:adam, player:bob, player:charles. When multiple mapped_fields are specified, will merge their value together as final facet value. E.g. home_team: a, home_team:b, away_team:a, away_team:c, when facet_field = [home_team, away_team], facet_value will be [a, b, c].

UNLESS this is a 1:1 facet dimension (mapped_fields.size() == 1) AND the mapped_field equals the parent SearchConfig.name, the parent must also contain a SearchCriteriaProperty that maps to the same fields. mapped_fields must not be empty.

Returns:

  • (::Array<::String>) —

    Name of the facets, which are the dimensions users want to use to refine search results. mapped_fields will match UserSpecifiedDataSchema keys.

    For example, user can add a bunch of UGAs with the same key, such as player:adam, player:bob, player:charles. When multiple mapped_fields are specified, will merge their value together as final facet value. E.g. home_team: a, home_team:b, away_team:a, away_team:c, when facet_field = [home_team, away_team], facet_value will be [a, b, c].

    UNLESS this is a 1:1 facet dimension (mapped_fields.size() == 1) AND the mapped_field equals the parent SearchConfig.name, the parent must also contain a SearchCriteriaProperty that maps to the same fields. mapped_fields must not be empty.



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# File 'proto_docs/google/cloud/visionai/v1/warehouse.rb', line 2190

class FacetProperty
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # If bucket type is FIXED_RANGE, specify how values are bucketized. Use
  # FixedRangeBucketSpec when you want to create multiple buckets with equal
  # granularities. Using integer bucket value as an example, when
  # bucket_start = 0, bucket_granularity = 10, bucket_count = 5, this facet
  # will be aggregated via the following buckets:
  # [-inf, 0), [0, 10), [10, 20), [20, 30), [30, inf).
  # Notably, bucket_count <= 1 is an invalid spec.
  # @!attribute [rw] bucket_start
  #   @return [::Google::Cloud::VisionAI::V1::FacetValue]
  #     Lower bound of the bucket. NOTE: Only integer type is currently supported
  #     for this field.
  # @!attribute [rw] bucket_granularity
  #   @return [::Google::Cloud::VisionAI::V1::FacetValue]
  #     Bucket granularity. NOTE: Only integer type is currently supported for
  #     this field.
  # @!attribute [rw] bucket_count
  #   @return [::Integer]
  #     Total number of buckets.
  class FixedRangeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # If bucket type is CUSTOM_RANGE, specify how values are bucketized. Use
  # integer bucket value as an example, when the endpoints are 0, 10, 100, and
  # 1000, we will generate the following facets:
  # [-inf, 0), [0, 10), [10, 100), [100, 1000), [1000, inf).
  # Notably:
  # - endpoints must be listed in ascending order. Otherwise, the SearchConfig
  #   API will reject the facet config.
  # - < 1 endpoints is an invalid spec.
  # @!attribute [rw] endpoints
  #   @return [::Array<::Google::Cloud::VisionAI::V1::FacetValue>]
  #     Currently, only integer type is supported for this field.
  class CustomRangeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # If bucket type is DATE, specify how date values are bucketized.
  # @!attribute [rw] granularity
  #   @return [::Google::Cloud::VisionAI::V1::FacetProperty::DateTimeBucketSpec::Granularity]
  #     Granularity of date type facet.
  class DateTimeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Granularity enum for the datetime bucket.
    module Granularity
      # Unspecified granularity.
      GRANULARITY_UNSPECIFIED = 0

      # Granularity is year.
      YEAR = 1

      # Granularity is month.
      MONTH = 2

      # Granularity is day.
      DAY = 3
    end
  end
end

#result_size ⇒ ::Integer

Returns Maximum number of unique bucket to return for one facet. Bucket number can be large for high-cardinality facet such as "player". We only return top-n most related ones to user. If it's <= 0, the server will decide the appropriate result_size.

Returns:

  • (::Integer) —

    Maximum number of unique bucket to return for one facet. Bucket number can be large for high-cardinality facet such as "player". We only return top-n most related ones to user. If it's <= 0, the server will decide the appropriate result_size.



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# File 'proto_docs/google/cloud/visionai/v1/warehouse.rb', line 2190

class FacetProperty
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # If bucket type is FIXED_RANGE, specify how values are bucketized. Use
  # FixedRangeBucketSpec when you want to create multiple buckets with equal
  # granularities. Using integer bucket value as an example, when
  # bucket_start = 0, bucket_granularity = 10, bucket_count = 5, this facet
  # will be aggregated via the following buckets:
  # [-inf, 0), [0, 10), [10, 20), [20, 30), [30, inf).
  # Notably, bucket_count <= 1 is an invalid spec.
  # @!attribute [rw] bucket_start
  #   @return [::Google::Cloud::VisionAI::V1::FacetValue]
  #     Lower bound of the bucket. NOTE: Only integer type is currently supported
  #     for this field.
  # @!attribute [rw] bucket_granularity
  #   @return [::Google::Cloud::VisionAI::V1::FacetValue]
  #     Bucket granularity. NOTE: Only integer type is currently supported for
  #     this field.
  # @!attribute [rw] bucket_count
  #   @return [::Integer]
  #     Total number of buckets.
  class FixedRangeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # If bucket type is CUSTOM_RANGE, specify how values are bucketized. Use
  # integer bucket value as an example, when the endpoints are 0, 10, 100, and
  # 1000, we will generate the following facets:
  # [-inf, 0), [0, 10), [10, 100), [100, 1000), [1000, inf).
  # Notably:
  # - endpoints must be listed in ascending order. Otherwise, the SearchConfig
  #   API will reject the facet config.
  # - < 1 endpoints is an invalid spec.
  # @!attribute [rw] endpoints
  #   @return [::Array<::Google::Cloud::VisionAI::V1::FacetValue>]
  #     Currently, only integer type is supported for this field.
  class CustomRangeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # If bucket type is DATE, specify how date values are bucketized.
  # @!attribute [rw] granularity
  #   @return [::Google::Cloud::VisionAI::V1::FacetProperty::DateTimeBucketSpec::Granularity]
  #     Granularity of date type facet.
  class DateTimeBucketSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Granularity enum for the datetime bucket.
    module Granularity
      # Unspecified granularity.
      GRANULARITY_UNSPECIFIED = 0

      # Granularity is year.
      YEAR = 1

      # Granularity is month.
      MONTH = 2

      # Granularity is day.
      DAY = 3
    end
  end
end