Represents the parameters of human assist query.
Inherits
- Object
 
Extended By
- Google::Protobuf::MessageExts::ClassMethods
 
Includes
- Google::Protobuf::MessageExts
 
Methods
#documents_metadata_filters
def documents_metadata_filters() -> ::Google::Protobuf::Map{::String => ::String} Returns 
 -  (::Google::Protobuf::Map{::String => ::String}) — Key-value filters on the metadata of documents returned by article suggestion. If specified, article suggestion only returns suggested documents that match all filters in their Document.metadata. Multiple values for a metadata key should be concatenated by comma. For example, filters to match all documents that have 'US' or 'CA' in their market metadata values and 'agent' in their user metadata values will be 
documents_metadata_filters { key: "market" value: "US,CA" } documents_metadata_filters { key: "user" value: "agent" } 
#documents_metadata_filters=
def documents_metadata_filters=(value) -> ::Google::Protobuf::Map{::String => ::String} Parameter 
 -  value (::Google::Protobuf::Map{::String => ::String}) — Key-value filters on the metadata of documents returned by article suggestion. If specified, article suggestion only returns suggested documents that match all filters in their Document.metadata. Multiple values for a metadata key should be concatenated by comma. For example, filters to match all documents that have 'US' or 'CA' in their market metadata values and 'agent' in their user metadata values will be 
documents_metadata_filters { key: "market" value: "US,CA" } documents_metadata_filters { key: "user" value: "agent" } 
 Returns 
 -  (::Google::Protobuf::Map{::String => ::String}) — Key-value filters on the metadata of documents returned by article suggestion. If specified, article suggestion only returns suggested documents that match all filters in their Document.metadata. Multiple values for a metadata key should be concatenated by comma. For example, filters to match all documents that have 'US' or 'CA' in their market metadata values and 'agent' in their user metadata values will be 
documents_metadata_filters { key: "market" value: "US,CA" } documents_metadata_filters { key: "user" value: "agent" }