diff options
Diffstat (limited to 'report/validation_access.rb')
| -rwxr-xr-x | report/validation_access.rb | 49 |
1 files changed, 35 insertions, 14 deletions
diff --git a/report/validation_access.rb b/report/validation_access.rb index e2a3978..4d9ed9f 100755 --- a/report/validation_access.rb +++ b/report/validation_access.rb @@ -195,30 +195,50 @@ class Reports::ValidationDB Lib::OTPredictions.new( data.data, data.compounds ) end + @@accept_values = {} + def get_accept_values( validation, subjectid=nil ) - # PENDING So far, one has to load the whole dataset to get the accept_value from ambit - test_target_datasets = validation.test_target_dataset_uri - test_target_datasets = validation.test_dataset_uri unless test_target_datasets - res = nil - test_target_datasets.split(";").each do |test_target_dataset| - d = Lib::DatasetCache.find( test_target_dataset, subjectid ) - raise "cannot get test target dataset for accept values, dataset: "+test_target_dataset.to_s unless d - accept_values = d.accept_values(validation.prediction_feature) - raise "cannot get accept values from dataset "+test_target_dataset.to_s+" for feature "+ - validation.prediction_feature+":\n"+d.features[validation.prediction_feature].to_yaml unless accept_values!=nil - raise "different accept values" if res && res!=accept_values - res = accept_values + begin + return @@accept_values[validation.prediction_feature] if @@accept_values[validation.prediction_feature] + LOGGER.debug "get accept values ..." + pred = OpenTox::Feature.find(validation.prediction_feature) + accept = pred.metadata[OT.acceptValue] + accept = accept[0] if accept.is_a?(Array) and accept.size==1 and accept[0].is_a?(Array) + raise unless accept.is_a?(Array) and accept.size>1 + @@accept_values[validation.prediction_feature] = accept + LOGGER.debug "get accept values ... #{accept} #{accept.size}" + accept + rescue + # PENDING So far, one has to load the whole dataset to get the accept_value from ambit + test_target_datasets = validation.test_target_dataset_uri + test_target_datasets = validation.test_dataset_uri unless test_target_datasets + res = nil + test_target_datasets.split(";").each do |test_target_dataset| + d = Lib::DatasetCache.find( test_target_dataset, subjectid ) + raise "cannot get test target dataset for accept values, dataset: "+test_target_dataset.to_s unless d + accept_values = d.accept_values(validation.prediction_feature) + raise "cannot get accept values from dataset "+test_target_dataset.to_s+" for feature "+ + validation.prediction_feature+":\n"+d.features[validation.prediction_feature].to_yaml unless accept_values!=nil + raise "different accept values" if res && res!=accept_values + res = accept_values + end + res end - res end def feature_type( validation, subjectid=nil ) - OpenTox::Model::Generic.new(validation.model_uri).feature_type(subjectid) + if validation.model_uri.include?(";") + model_uri = validation.model_uri.split(";")[0] + else + model_uri = validation.model_uri + end + OpenTox::Model::Generic.new(model_uri).feature_type(subjectid) #get_model(validation).classification? end def predicted_variable(validation, subjectid=nil) raise "cannot derive model depended props for merged validations" if Lib::MergeObjects.merged?(validation) + raise "multiple models in this validation, cannot get one predicted variable (#{validation.model_uri})" if validation.model_uri.include?(";") model = OpenTox::Model::Generic.find(validation.model_uri, subjectid) raise OpenTox::NotFoundError.new "model not found '"+validation.model_uri+"'" unless model model.predicted_variable(subjectid) @@ -226,6 +246,7 @@ class Reports::ValidationDB def predicted_confidence(validation, subjectid=nil) raise "cannot derive model depended props for merged validations" if Lib::MergeObjects.merged?(validation) + raise "multiple models in this validation, cannot get one predicted confidence (#{validation.model_uri})" if validation.model_uri.include?(";") model = OpenTox::Model::Generic.find(validation.model_uri, subjectid) raise OpenTox::NotFoundError.new "model not found '"+validation.model_uri+"'" unless model model.predicted_confidence(subjectid) |