Class: CqlMeasure
- Inherits:
-
Object
- Object
- CqlMeasure
- Includes:
- Mongoid::Attributes::Dynamic, Mongoid::Document, Mongoid::Timestamps
- Defined in:
- lib/models/cql_measure.rb
Constant Summary collapse
- DEFAULT_EFFECTIVE_DATE =
Time.gm(2012,12,31,23,59).to_i
- MP_START_DATE =
Time.gm(2012,1,1,0,0).to_i
- TYPES =
["ep", "eh"]
Class Method Summary collapse
-
.for_patient(record) ⇒ Object
Find the measures matching a patient.
Instance Method Summary collapse
- #all_data_criteria ⇒ Object
-
#as_hqmf_model ⇒ Object
Returns the hqmf-parser’s ruby implementation of an HQMF document.
- #calculate_complexity ⇒ Object
-
#count_expression_logical_branches(expression) ⇒ Object
Recursively look through an expression to count the logical branches.
- #set_continuous_variable ⇒ Object
- #value_sets ⇒ Object
Class Method Details
.for_patient(record) ⇒ Object
Find the measures matching a patient
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# File 'lib/models/cql_measure.rb', line 63 def self.for_patient(record) where user_id: record.user_id, hqmf_set_id: { '$in' => record.measure_ids } end |
Instance Method Details
#all_data_criteria ⇒ Object
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# File 'lib/models/cql_measure.rb', line 95 def all_data_criteria as_hqmf_model.all_data_criteria end |
#as_hqmf_model ⇒ Object
Returns the hqmf-parser’s ruby implementation of an HQMF document. Rebuild from population_criteria, data_criteria, and measure_period JSON
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# File 'lib/models/cql_measure.rb', line 76 def as_hqmf_model json = { "id" => self.measure_id, "title" => self.title, "description" => self.description, "population_criteria" => self.population_criteria, "data_criteria" => self.data_criteria, "source_data_criteria" => self.source_data_criteria, "measure_period" => self.measure_period, "attributes" => self.measure_attributes, "populations" => self.populations, "hqmf_id" => self.hqmf_id, "hqmf_set_id" => self.hqmf_set_id, "hqmf_version_number" => self.hqmf_version_number, "cms_id" => self.cms_id } HQMF::Document.from_json(json) end |
#calculate_complexity ⇒ Object
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# File 'lib/models/cql_measure.rb', line 114 def calculate_complexity # We calculate the complexity for each statement, and (at least for now) store the result in the same way # we store the complexity for QDM variables # TODO: consider whether this is too much of a force fit self.complexity = { variables: [] } # Recursively look through an expression to count the logical branches def count_expression_logical_branches(expression) case expression when nil 0 when Array expression.map { |exp| count_expression_logical_branches(exp) }.sum when Hash case expression['type'] when 'And', 'Or', 'Not' count_expression_logical_branches(expression['operand']) when 'Query' # TODO: Do we need to look into the source side of the query? Can there be logical operators there? count_expression_logical_branches(expression['where']) + count_expression_logical_branches(expression['relationship']) else 1 end else 0 end end # Determine the complexity of each statement self.elm.each do |elm| if statements = elm.try(:[], 'library').try(:[], 'statements').try(:[], 'def') statements.each do |statement| self.complexity[:variables] << { name: statement['name'], complexity: count_expression_logical_branches(statement['expression']) } end end end self.complexity end |
#count_expression_logical_branches(expression) ⇒ Object
Recursively look through an expression to count the logical branches
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# File 'lib/models/cql_measure.rb', line 120 def count_expression_logical_branches(expression) case expression when nil 0 when Array expression.map { |exp| count_expression_logical_branches(exp) }.sum when Hash case expression['type'] when 'And', 'Or', 'Not' count_expression_logical_branches(expression['operand']) when 'Query' # TODO: Do we need to look into the source side of the query? Can there be logical operators there? count_expression_logical_branches(expression['where']) + count_expression_logical_branches(expression['relationship']) else 1 end else 0 end end |
#set_continuous_variable ⇒ Object
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# File 'lib/models/cql_measure.rb', line 101 def set_continuous_variable # The return value of this function is not related to whether or not this # measure is a CV measure. The true return value ensures false is not # accidentally returned here, which would cause the chain of 'before_*' to # stop executing. self.continuous_variable = populations.map {|x| x.keys}.flatten.uniq.include? HQMF::PopulationCriteria::MSRPOPL true end |
#value_sets ⇒ Object
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# File 'lib/models/cql_measure.rb', line 67 def value_sets = { oid: value_set_oids } [:user_id] = user.id if user? @value_sets ||= HealthDataStandards::SVS::ValueSet.in() @value_sets end |