159 lines
4.2 KiB
JavaScript
159 lines
4.2 KiB
JavaScript
import formValueTypes from 'Components/conversation/formValueTypes'
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import Input from 'Components/conversation/Input'
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import Question from 'Components/conversation/Question'
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import SelectGéo from 'Components/conversation/select/SelectGéo'
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import SelectAtmp from 'Components/conversation/select/SelectTauxRisque'
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import {
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add,
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countBy,
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descend,
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flatten,
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fromPairs,
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head,
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identity,
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is,
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keys,
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map,
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mergeWith,
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pair,
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pick,
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prop,
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reduce,
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sortWith,
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toPairs,
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unless,
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values
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} from 'ramda'
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import React from 'react'
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import { findRuleByDottedName, queryRule } from './rules'
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/*
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COLLECTE DES VARIABLES MANQUANTES
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*********************************
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on collecte les variables manquantes : celles qui sont nécessaires pour
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remplir les objectifs de la simulation (calculer des cotisations) mais qui n'ont pas
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encore été renseignées
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TODO perf : peut-on le faire en même temps que l'on traverse l'AST ?
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Oui sûrement, cette liste se complète en remontant l'arbre. En fait, on le fait déjà pour nodeValue,
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et quand nodeValue vaut null, c'est qu'il y a des missingVariables ! Il suffit donc de remplacer les
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null par un tableau, et d'ailleurs utiliser des fonction d'aide pour mutualiser ces tests.
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missingVariables: {variable: [objectives]}
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*/
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export let collectMissingVariablesByTarget = (targets = []) =>
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fromPairs(targets.map(target => [target.dottedName, target.missingVariables]))
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export let getNextSteps = missingVariablesByTarget => {
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let byCount = ([, [count]]) => count
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let byScore = ([, [, score]]) => score
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let missingByTotalScore = reduce(
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mergeWith(add),
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{},
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values(missingVariablesByTarget)
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)
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let innerKeys = flatten(map(keys, values(missingVariablesByTarget))),
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missingByTargetsAdvanced = countBy(identity, innerKeys)
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let missingByCompound = mergeWith(
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pair,
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missingByTargetsAdvanced,
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missingByTotalScore
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),
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pairs = toPairs(missingByCompound),
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sortedPairs = sortWith([descend(byCount), descend(byScore)], pairs)
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return map(head, sortedPairs)
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}
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export let collectMissingVariables = targets =>
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getNextSteps(collectMissingVariablesByTarget(targets))
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let isVariant = rule => queryRule(rule.raw)('formule . une possibilité')
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let buildVariantTree = (allRules, path) => {
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let rec = path => {
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let node = findRuleByDottedName(allRules, path)
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if (!node) throw new Error(`La règle ${path} est introuvable`)
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let variant = isVariant(node),
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variants = variant && unless(is(Array), prop('possibilités'))(variant),
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shouldBeExpanded = variant && true, //variants.find( v => relevantPaths.find(rp => contains(path + ' . ' + v)(rp) )),
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canGiveUp = variant && !variant['choix obligatoire']
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return Object.assign(
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node,
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shouldBeExpanded
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? {
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canGiveUp,
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children: variants.map(v => rec(path + ' . ' + v))
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}
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: null
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)
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}
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return rec(path)
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}
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// This function takes the unknown rule and finds which React component should be displayed to get a user input through successive if statements
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// That's not great, but we won't invest more time until we have more diverse input components and a better type system.
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export let getInputComponent = rules => dottedName => {
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let rule = findRuleByDottedName(rules, dottedName)
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let commonProps = {
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key: dottedName,
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fieldName: dottedName,
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...pick(['dottedName', 'title', 'question', 'defaultValue'], rule)
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}
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if (isVariant(rule))
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return (
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<Question
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{...{
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...commonProps,
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choices: buildVariantTree(rules, dottedName)
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}}
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/>
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)
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if (rule.API && rule.API === 'géo')
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return <SelectGéo {...{ ...commonProps }} />
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if (rule.API) throw new Error("Le seul API implémenté est l'API géo")
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if (rule.format == null)
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return (
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<Question
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{...{
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...commonProps,
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choices: [
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{ value: 'non', label: 'Non' },
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{ value: 'oui', label: 'Oui' }
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]
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}}
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/>
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)
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if (rule.suggestions == 'atmp-2017')
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return (
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<SelectAtmp
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{...{
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...commonProps,
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valueType: formValueTypes[rule.format],
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suggestions: rule.suggestions
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}}
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/>
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)
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// Now the numeric input case
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return (
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<Input
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{...{
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...commonProps,
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valueType: formValueTypes[rule.format],
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suggestions: rule.suggestions,
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rulePeriod: rule.période
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}}
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/>
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)
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}
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