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# Get a list of all prediction models
# @param [Header] Accept one of text/uri-list,
# @return [text/uri-list] list of all prediction models
get "/model/?" do
models = Model::Validation.all
case @accept
when "text/uri-list"
uri_list = models.collect{|model| uri("/model/#{model.model_id}")}
return uri_list.join("\n") + "\n"
when "application/json"
models = JSON.parse models.to_json
models.each_index do |idx|
models[idx][:URI] = uri("/model/#{models[idx]["model_id"]["$oid"]}")
models[idx][:crossvalidation_uri] = uri("/crossvalidation/#{models[idx]["crossvalidation_id"]["$oid"]}") if models[idx]["crossvalidation_id"]
end
return models.to_json
else
bad_request_error "Mime type #{@accept} is not supported."
end
end
get "/model/:id/?" do
model = Model::Lazar.find params[:id]
resource_not_found_error "Model with id: #{params[:id]} not found." unless model
model[:URI] = uri("/model/#{model.id}")
# model[:neighbor_algorithm_parameters][:feature_dataset_uri] = uri("/dataset/#{model[:neighbor_algorithm_parameters][:feature_dataset_id]}") if model[:neighbor_algorithm_parameters][:feature_dataset_id]
model[:training_dataset_uri] = uri("/dataset/#{model.training_dataset_id}") if model.training_dataset_id
model[:prediction_feature_uri] = uri("/dataset/#{model.prediction_feature_id}") if model.prediction_feature_id
return model.to_json
end
post "/model/:id/?" do
identifier = params[:identifier].split(",")
begin
# get compound from SMILES
compounds = identifier.collect{ |i| Compound.from_smiles i.strip }
rescue
@error_report = "Attention, '#{params[:identifier]}' is not a valid SMILES string."
return @error_report
end
model = Model::Lazar.find params[:id]
batch = {}
compounds.each do |compound|
prediction = model.predict(compound)
batch[compound] = {:id => compound.id, :inchi => compound.inchi, :smiles => compound.smiles, :model => model, :prediction => prediction}
end
return batch.to_json
end
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