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# Shims for translation to the new architecture (TM).
# Author: Andreas Maunz, 2012
module OpenTox
# Shims for the feature class
class Feature
# Load a feature from URI
# @param [String] Feature URI
# @return [OpenTox::Feature] Feature object with the full data
def self.find(uri, subjectid=nil)
return nil unless uri
f = OpenTox::Feature.new uri, subjectid
f.get
f
end
# Load a feature given its title. create it if not present, using metadata.
# When metadata is empty, nil is returned
# @param[String] title Feature title
# @param[Hash] metadata Feature metadata
# @return [OpenTox::Feature] Feature object with the full data, or nil, if not found
def self.find_by_title(title, metadata)
feature_uri = nil
sparql = "SELECT DISTINCT ?feature WHERE { ?feature <#{RDF.type}> <#{RDF::OT['feature'.capitalize]}>. ?feature <#{RDF::DC.title}> '#{title.to_s}' }"
feature_uri = OpenTox::Backend::FourStore.query(sparql,"text/uri-list").split("\n").first # is nil for non-existing feature
if feature_uri.nil? and metadata.size>0
feature = OpenTox::Feature.new feature_uri, @subjectid
feature.title = title
feature.metadata = metadata
feature.put
else
feature = OpenTox::Feature.find(feature_uri, @subjectid)
end
feature
end
# Find out feature type
# Classification takes precedence
# @return [String] Feature type
def feature_type
bad_request_error "rdf type of feature '#{@uri}' not set" unless self[RDF.type]
if self[RDF.type].include?(OT.NominalFeature)
"classification"
elsif [RDF.type].to_a.flatten.include?(OT.NumericFeature)
"regression"
else
"unknown"
end
end
# Get accept values
# @param[String] Feature URI
# @return[Array] Accept values
def accept_values
accept_values = self[OT.acceptValue]
accept_values.sort if accept_values
accept_values
end
end
end
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