188 lines
7.9 KiB
JavaScript
188 lines
7.9 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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it('should ignore missing variables in the formula if not applicable', 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: "trois", "non applicable si" : "3 > 2", espace: "sum"},
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{nom: "trois", espace: "sum"}],
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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.deep.equal({})
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});
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it('should not report missing variables when "one of these" short-circuits', 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: "trois", "non applicable si" : {"une de ces conditions": ["3 > 2", "trois"]}, espace: "sum"},
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{nom: "trois", espace: "sum"}],
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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.deep.equal({})
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});
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it('should report missing variables in switch statements', function() {
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let rawRules = [
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{ nom: "startHere", formule: {somme: ["logic"]}, espace: "top"},
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{ nom: "logic", formule: {"aiguillage numérique": {
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"11 > dix":"1000%",
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"3 > dix":"1100%",
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"1 > dix":"1200%"
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}}, espace: "top"},
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{nom: "dix", espace: "top"}],
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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('top . dix')
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});
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it('should not report missing variables in switch for consequences of false conditions', function() {
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let rawRules = [
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{ nom: "startHere", formule: {somme: ["logic"]}, espace: "top"},
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{ nom: "logic", formule: {"aiguillage numérique": {
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"8 > 10":"1000%",
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"1 > 2":"dix"
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}}, espace: "top"},
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{nom: "dix", espace: "top"}],
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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.deep.equal({})
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});
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it('should report missing variables in consequence even if its condition is unresolved', function() {
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let rawRules = [
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{ nom: "startHere", formule: { somme: ["logic"] }, espace: "top" },
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{ nom: "logic",
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formule: {
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"aiguillage numérique": {
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"10 > 11": "1000%",
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"3 > dix": {
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"douze": "560%",
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"1 > 2": "75015%" }
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}
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},
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espace: "top"
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},
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{ nom: "douze", espace: "top" },
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{ nom: "dix", espace: "top" }
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],
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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('top . dix')
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expect(result).to.have.property('top . douze')
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});
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it('should not report missing variables when a switch short-circuits', function() {
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let rawRules = [
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{ nom: "startHere", formule: {somme: ["logic"]}, espace: "top"},
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{ nom: "logic", formule: {"aiguillage numérique": {
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"11 > 10":"1000%",
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"3 > dix":"1100%",
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"1 > dix":"1200%"
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}}, espace: "top"},
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{nom: "dix", espace: "top"}],
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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.deep.equal({})
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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("Quelle est la durée du contrat ?")
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expect(R.path(["question","props","label"])(result[5])).to.equal("Combien de jours de congés ne seront pas pris ?")
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});
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});
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