91 lines
4.2 KiB
JavaScript
91 lines
4.2 KiB
JavaScript
import R from 'ramda'
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import {expect} from 'chai'
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import {rules as realRules, enrichRule} from '../source/engine/rules'
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import {analyseSituation, analyseTopDown} from '../source/engine/traverse'
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import {buildNextSteps, collectMissingVariables, getObjectives} from '../source/engine/generateQuestions'
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let stateSelector = (name) => null
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describe('getObjectives', function() {
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it('should derive objectives from the root rule', function() {
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let rawRules = [
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{nom: "startHere", formule: {somme: [2, "deux"]}, espace: "sum"},
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{nom: "deux", formule: 2, "non applicable si" : "sum . evt . ko", espace: "sum"},
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{nom: "evt", espace: "sum", formule: {"une possibilité":["ko"]}, titre: "Truc", question:"?"},
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{nom: "ko", espace: "sum . evt"}],
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rules = rawRules.map(enrichRule),
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{root, parsedRules} = analyseTopDown(rules,"startHere")(stateSelector),
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result = getObjectives(stateSelector, root, parsedRules)
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expect(result).to.have.lengthOf(1)
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expect(result[0]).to.have.property('name','deux')
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});
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});
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describe('collectMissingVariables', function() {
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it('should identify missing variables', function() {
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let rawRules = [
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{nom: "startHere", formule: {somme: [2, "deux"]}, espace: "sum"},
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{nom: "deux", formule: 2, "non applicable si" : "sum . evt . ko", espace: "sum"},
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{nom: "evt", espace: "sum", formule: {"une possibilité":["ko"]}, titre: "Truc", question:"?"},
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{nom: "ko", espace: "sum . evt"}],
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rules = rawRules.map(enrichRule),
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situation = analyseTopDown(rules,"startHere")(stateSelector),
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result = collectMissingVariables()(stateSelector,situation)
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expect(result).to.have.property('sum . evt . ko')
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});
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it('should identify missing variables mentioned in expressions', function() {
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let rawRules = [
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{nom: "startHere", formule: {somme: [2, "deux"]}, espace: "sum"},
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{nom: "deux", formule: 2, "non applicable si" : "evt . nyet > evt . nope", espace: "sum"},
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{nom: "nope", espace: "sum . evt"},
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{nom: "nyet", espace: "sum . evt"}],
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rules = rawRules.map(enrichRule),
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situation = analyseTopDown(rules,"startHere")(stateSelector),
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result = collectMissingVariables()(stateSelector,situation)
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expect(result).to.have.property('sum . evt . nyet')
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expect(result).to.have.property('sum . evt . nope')
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});
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});
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describe('buildNextSteps', function() {
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it('should generate questions', function() {
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let rawRules = [
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{nom: "sum", formule: {somme: [2, "deux"]}, espace: "top"},
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{nom: "deux", formule: 2, "non applicable si" : "top . sum . evt . ko", espace: "top"},
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{nom: "evt", espace: "top . sum", formule: {"une possibilité":["ko"]}, titre: "Truc", question:"?"},
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{nom: "ko", espace: "top . sum . evt"}],
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rules = rawRules.map(enrichRule),
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situation = analyseTopDown(rules,"sum")(stateSelector),
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result = buildNextSteps(stateSelector, rules, situation)
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expect(result).to.have.lengthOf(1)
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expect(R.path(["question","props","label"])(result[0])).to.equal("?")
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});
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it('should generate questions from the real rules', function() {
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let rules = realRules.map(enrichRule),
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situation = analyseTopDown(rules,"surcoût CDD")(stateSelector),
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objectives = getObjectives(stateSelector, situation.root, situation.parsedRules),
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result = buildNextSteps(stateSelector, rules, situation)
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expect(objectives).to.have.lengthOf(4)
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expect(result).to.have.lengthOf(6)
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expect(R.path(["question","props","label"])(result[0])).to.equal("Pensez-vous être confronté à l'un de ces événements au cours du contrat ?")
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expect(R.path(["question","props","label"])(result[1])).to.equal("Quel est le motif de recours au CDD ?")
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expect(R.path(["question","props","label"])(result[2])).to.equal("Quel est le salaire brut ?")
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expect(R.path(["question","props","label"])(result[3])).to.equal("Est-ce un contrat jeune vacances ?")
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expect(R.path(["question","props","label"])(result[4])).to.equal("Combien de jours de congés ne seront pas pris ?")
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expect(R.path(["question","props","label"])(result[5])).to.equal("Quelle est la durée du contrat ?")
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});
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});
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