Reference documentation and code samples for the Dialogflow V2 API class Google::Cloud::Dialogflow::V2::AssistQueryParameters.
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" }