require('nokogiri') require_relative '../app/models/models' require('generate_types') module QDM # PatientGeneration module can be used to generate patients with dataElements that are populated # with every possible attribute that said type supports module PatientGeneration # Generates patient(s) with fully-loaded dataElements if new_patient_for_each_type is false then a # single patient will be returned that has every data element on it def self.generate_exhastive_data_element_patients(new_patient_for_each_type = true, model_info_file = 'qdm-modelinfo-5.5.xml') datatypes = get_datatypes(File.join(File.dirname(__FILE__), "../modelinfo/#{model_info_file}")) patients = [] cqm_patient = nil qdm_patient = nil datatypes.each do |type| next if type.include? 'PatientCharacteristic' # 1 Patient Per data element type containing negated and non-negated type (if negatable) if cqm_patient.nil? || qdm_patient.nil? || new_patient_for_each_type cqm_patient = QDM::BaseTypeGeneration.generate_cqm_patient(type) qdm_patient = QDM::BaseTypeGeneration.generate_qdm_patient # Add patient characteristics sex = generate_loaded_datatype('QDM::PatientCharacteristicSex') race = generate_loaded_datatype('QDM::PatientCharacteristicRace') ethnicity = generate_loaded_datatype('QDM::PatientCharacteristicEthnicity') birthdate = generate_loaded_datatype('QDM::PatientCharacteristicBirthdate') qdm_patient.dataElements.push(sex) qdm_patient.dataElements.push(race) qdm_patient.dataElements.push(ethnicity) qdm_patient.dataElements.push(birthdate) cqm_patient.qdmPatient = qdm_patient end data_element = generate_loaded_datatype(type) qdm_patient.dataElements.push(data_element) # if type is negatable, add a negated version to the patient if data_element.fields.keys.include? 'negationRationale' negated_data_element = generate_loaded_datatype(type, true) qdm_patient.dataElements.push(negated_data_element) end patients.push(cqm_patient) end patients end def self.get_datatypes(modelinfo_file) modelinfo = File.open(modelinfo_file) { |f| Nokogiri::XML(f) } datatypes = [] # Loop through each typeInfo node (each of these is a QDM datatype) modelinfo.xpath('//ns4:typeInfo').each do |type| # Grab the name of this QDM datatype datatype_name = type.attributes['name'].value.split('.').last exclusion_array = %w[Component Identifier Patient ResultComponent FacilityLocation] # Store datatype and its attributes (reject irrelevant datatypes) next if datatype_name.include?('Negative') || datatype_name.include?('Positive') || datatype_name.include?('QDMBaseType') || (exclusion_array.include? datatype_name) datatypes.push(datatype_name) end datatypes end def self.generate_loaded_datatype(data_element_type, negate_data_element = false) data_element = QDM.const_get(data_element_type).new fields = data_element.typed_attributes.keys fields.each do |field_name| # Ignore these fields, they are used by mongo next if %w[_id _type].include? field_name if !data_element[field_name] || data_element[field_name] == [] populate_fields(field_name, data_element, negate_data_element) end end data_element end def self.populate_fields(field_name, data_element, negate_data_element) # There are certain fields that we want to populate manually if field_name == 'description' # Skip the setting of patient description for now elsif field_name == 'codeListId' # Skip the setting code list id. It is not used in a patient's data_element, only in the measure's elsif field_name == 'negationRationale' data_element[field_name] = QDM::BaseTypeGeneration.generate_code_field if negate_data_element elsif field_name == 'components' data_element[field_name] = [QDM::BaseTypeGeneration.generate_component] elsif field_name == 'result' # TODO: Result can be MANY Integer, Decimal, Code, Quantity or Ratio randomize this data_element[field_name] = QDM::BaseTypeGeneration.generate_code_field elsif %w[diagnoses dataElementCodes].include? field_name # TODO: Populate dataElementCodes with codes specifically for data element type data_element[field_name] = [QDM::BaseTypeGeneration.generate_code_field] elsif field_name == 'facilityLocations' # TODO: Randomize number of facility locations added data_element[field_name] = [QDM::BaseTypeGeneration.generate_facility_location] elsif field_name == 'facilityLocation' # TODO: Randomize number of facility locations added data_element[field_name] = QDM::BaseTypeGeneration.generate_facility_location elsif field_name == 'targetOutcome' # TODO: Randomize type of targetOutcome, use code for now data_element[field_name] = QDM::BaseTypeGeneration.generate_code_field else # Fallback to populating fields by expected type populate_field_by_type(field_name, data_element) end end def self.populate_field_by_type(field_name, data_element) field_type = data_element.fields[field_name].type if field_type == QDM::Code data_element[field_name] = QDM::BaseTypeGeneration.generate_code_field elsif field_type == DateTime data_element[field_name] = QDM::BaseTypeGeneration.generate_datetime elsif field_type == QDM::Interval data_element[field_name] = QDM::BaseTypeGeneration.generate_date_interval_field elsif field_type == QDM::Quantity data_element[field_name] = QDM::BaseTypeGeneration.generate_quantity elsif field_type == QDM::Identifier data_element[field_name] = QDM::BaseTypeGeneration.generate_qdm_id elsif field_type == Integer # TODO: randomize value data_element[field_name] = 3 else puts("Unknown Type in patient generator for field #{field_name}, type #{field_type} in #{data_element._type}") end end end end