import { expect } from 'chai' import { collectMissingVariables, getNextSteps } from '../source/engine/generateQuestions' import { enrichRule, rules as realRules } from '../source/engine/rules' import { analyse, parseAll } from '../source/engine/traverse' let stateSelector = () => null describe('collectMissingVariables', function() { it('should identify missing variables', function() { let rawRules = [ { nom: 'startHere', formule: 2, 'non applicable si': 'sum . evt . ko', espace: 'sum' }, { nom: 'evt', espace: 'sum', formule: { 'une possibilité': ['ko'] }, titre: 'Truc', question: '?' }, { nom: 'ko', espace: 'sum . evt' } ], rules = parseAll(rawRules.map(enrichRule)), analysis = analyse(rules, 'startHere')(stateSelector), result = collectMissingVariables(analysis.targets) expect(result).to.include('sum . evt . ko') }) it('should identify missing variables mentioned in expressions', function() { let rawRules = [ { nom: 'startHere', formule: 2, 'non applicable si': 'evt . nyet > evt . nope', espace: 'sum' }, { nom: 'nope', espace: 'sum . evt' }, { nom: 'nyet', espace: 'sum . evt' } ], rules = parseAll(rawRules.map(enrichRule)), analysis = analyse(rules, 'startHere')(stateSelector), result = collectMissingVariables(analysis.targets) expect(result).to.include('sum . evt . nyet') expect(result).to.include('sum . evt . nope') }) it('should ignore missing variables in the formula if not applicable', function() { let rawRules = [ { nom: 'startHere', formule: 'trois', 'non applicable si': '3 > 2', espace: 'sum' }, { nom: 'trois', espace: 'sum' } ], rules = parseAll(rawRules.map(enrichRule)), analysis = analyse(rules, 'startHere')(stateSelector), result = collectMissingVariables(analysis.targets) expect(result).to.be.empty }) it('should not report missing variables when "one of these" short-circuits', function() { let rawRules = [ { nom: 'startHere', formule: 'trois', 'non applicable si': { 'une de ces conditions': ['3 > 2', 'trois'] }, espace: 'sum' }, { nom: 'trois', espace: 'sum' } ], rules = parseAll(rawRules.map(enrichRule)), analysis = analyse(rules, 'startHere')(stateSelector), result = collectMissingVariables(analysis.targets) expect(result).to.be.empty }) it('should report "une possibilité" as a missing variable even though it has a formula', function() { let rawRules = [ { nom: 'startHere', formule: 'trois', espace: 'top' }, { nom: 'trois', formule: { 'une possibilité': ['ko'] }, espace: 'top' } ], rules = parseAll(rawRules.map(enrichRule)), analysis = analyse(rules, 'startHere')(stateSelector), result = collectMissingVariables(analysis.targets) expect(result).to.include('top . trois') }) it('should not report missing variables when "une possibilité" is inapplicable', function() { let rawRules = [ { nom: 'startHere', formule: 'trois', espace: 'top' }, { nom: 'trois', formule: { 'une possibilité': ['ko'] }, 'non applicable si': 1, espace: 'top' } ], rules = parseAll(rawRules.map(enrichRule)), analysis = analyse(rules, 'startHere')(stateSelector), result = collectMissingVariables(analysis.targets) expect(result).to.be.empty null }) it('should not report missing variables when "une possibilité" was answered', function() { let mySelector = name => ({ 'top . trois': 'ko' }[name]) let rawRules = [ { nom: 'startHere', formule: 'trois', espace: 'top' }, { nom: 'trois', formule: { 'une possibilité': ['ko'] }, espace: 'top' } ], rules = parseAll(rawRules.map(enrichRule)), analysis = analyse(rules, 'startHere')(mySelector), result = collectMissingVariables(analysis.targets) expect(result).to.be.empty }) it('should report missing variables in switch statements', function() { let rawRules = [ { nom: 'startHere', formule: { 'aiguillage numérique': { '11 > dix': '1000%', '3 > dix': '1100%', '1 > dix': '1200%' } }, espace: 'top' }, { nom: 'dix', espace: 'top' } ], rules = parseAll(rawRules.map(enrichRule)), analysis = analyse(rules, 'startHere')(stateSelector), result = collectMissingVariables(analysis.targets) expect(result).to.include('top . dix') }) it('should report missing variables in variations', function() { let rawRules = [ { nom: 'startHere', formule: { somme: ['variations'] }, espace: 'top' }, { nom: 'variations', espace: 'top', formule: { barème: { assiette: 2008, variations: [ { si: 'dix', alors: { 'multiplicateur des tranches': 'deux', tranches: [ { 'en-dessous de': 1, taux: 0.1 }, { de: 1, à: 2, taux: 'trois' }, { 'au-dessus de': 2, taux: 10 } ] } }, { si: '3 > 4', alors: { 'multiplicateur des tranches': 'quatre', tranches: [ { 'en-dessous de': 1, taux: 0.1 }, { de: 1, à: 2, taux: 1.8 }, { 'au-dessus de': 2, taux: 10 } ] } } ] } } }, { nom: 'dix', espace: 'top' }, { nom: 'deux', espace: 'top' }, { nom: 'trois', espace: 'top' }, { nom: 'quatre', espace: 'top' } ], rules = parseAll(rawRules.map(enrichRule)), analysis = analyse(rules, 'startHere')(stateSelector), result = collectMissingVariables(analysis.targets) expect(result).to.include('top . dix') expect(result).to.include('top . deux') expect(result).not.to.include('top . quatre') // TODO // expect(result).to.include('top . trois') }) it('should not report missing variables in switch for consequences of false conditions', function() { let rawRules = [ { nom: 'startHere', formule: { 'aiguillage numérique': { '8 > 10': '1000%', '1 > 2': 'dix' } }, espace: 'top' }, { nom: 'dix', espace: 'top' } ], rules = parseAll(rawRules.map(enrichRule)), analysis = analyse(rules, 'startHere')(stateSelector), result = collectMissingVariables(analysis.targets) expect(result).to.be.empty }) it('should report missing variables in consequence when its condition is unresolved', function() { let rawRules = [ { nom: 'startHere', formule: { 'aiguillage numérique': { '10 > 11': '1000%', '3 > dix': { douze: '560%', '1 > 2': '75015%' } } }, espace: 'top' }, { nom: 'douze', espace: 'top' }, { nom: 'dix', espace: 'top' } ], rules = parseAll(rawRules.map(enrichRule)), analysis = analyse(rules, 'startHere')(stateSelector), result = collectMissingVariables(analysis.targets) expect(result).to.include('top . dix') expect(result).to.include('top . douze') }) it('should not report missing variables when a switch short-circuits', function() { let rawRules = [ { nom: 'startHere', formule: { 'aiguillage numérique': { '11 > 10': '1000%', '3 > dix': '1100%', '1 > dix': '1200%' } }, espace: 'top' }, { nom: 'dix', espace: 'top' } ], rules = parseAll(rawRules.map(enrichRule)), analysis = analyse(rules, 'startHere')(stateSelector), result = collectMissingVariables(analysis.targets) expect(result).to.be.empty }) }) describe('nextSteps', function() { it('should generate questions', function() { let rawRules = [ { nom: 'sum', formule: { somme: [2, 'deux'] }, espace: 'top' }, { nom: 'deux', formule: 2, 'non applicable si': "top . sum . evt = 'ko'", espace: 'top' }, { nom: 'evt', espace: 'top . sum', formule: { 'une possibilité': ['ko'] }, titre: 'Truc', question: '?' }, { nom: 'ko', espace: 'top . sum . evt' } ], rules = parseAll(rawRules.map(enrichRule)), analysis = analyse(rules, 'sum')(stateSelector), result = collectMissingVariables(analysis.targets) expect(result).to.have.lengthOf(1) expect(result[0]).to.equal('top . sum . evt') }) it('should ask "motif CDD" if "CDD" applies', function() { let stateSelector = name => ({ 'contrat salarié . type de contrat': 'CDD', 'contrat salarié . salaire . brut de base': '2300' }[name]) let rules = parseAll(realRules.map(enrichRule)), analysis = analyse(rules, 'contrat salarié . salaire . net')( stateSelector ), result = collectMissingVariables(analysis.targets) expect(result).to.include('contrat salarié . CDD . motif') }) }) describe('getNextSteps', function() { it('should give priority to questions that advance most targets', function() { let missingVariablesByTarget = { chargé: { effectif: 34.01, cadre: 30 }, net: { cadre: 10.1 }, aides: { effectif: 32.0, cadre: 10 } } let result = getNextSteps(missingVariablesByTarget) expect(result[0]).to.equal('cadre') }) it('should give priority to questions by total weight when advancing the same target count', function() { let missingVariablesByTarget = { chargé: { effectif: 24.01, cadre: 30 }, net: { effectif: 24.01, cadre: 10.1 }, aides: {} } let result = getNextSteps(missingVariablesByTarget) expect(result[0]).to.equal('effectif') }) })