e75bb1c2f3
- Colunas responsivas ao painel via @container/territory-list (P0→P3), sem scroll horizontal
- Contagem de municípios no nome ("Irecê (20)"); % e votos absorvidos na célula 2022 (hover = válidos)
- Célula 2026 no detalhe de Municípios (valor central + %, faixa de cenários no hover, leitura)
- Colunas de rede só leitura: Assessor, Liderança, Dobradinha (para todo o staff)
- Cobertura oculta por padrão no seletor; labels curtos (2022/2026/Captura/Cobertura)
- loadTerritoryOverview devolve { rows, references }; rollup puro com soma por cenário, hasEstimate e uniões de rede
338 lines
11 KiB
TypeScript
338 lines
11 KiB
TypeScript
import { describe, expect, it } from 'vitest'
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import {
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METROPOLITANO_DEMAIS_SUB_ROW_LABEL,
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METROPOLITANO_SALVADOR_SUB_ROW_LABEL,
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} from '@/lib/metropolitanoTerritoryPeers'
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import {
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computeTerritoryE12Rollup,
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computeTerritoryRollup,
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filterTerritoryRows,
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flattenTerritoryRows,
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meanCaptureRateOfMunicipalities,
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sortTerritoryRows,
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type TerritoryMunicipalityInput,
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} from '@/utilities/territory/territoryOverview'
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const emptyGoalCoverage = {
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goal: 0,
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committed: 0,
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coverageRatio: null as number | null,
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deficit: 0,
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}
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const input = (
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overrides: Partial<TerritoryMunicipalityInput> &
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Pick<TerritoryMunicipalityInput, 'slug' | 'region' | 'city'>,
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): TerritoryMunicipalityInput => ({
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name: overrides.slug,
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kind: 'municipio',
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votesByYear: { 2022: 0 },
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validVotesByYear: { 2022: 0 },
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estimateByScenario: { pessimistic: 0, central: 0, optimistic: 0 },
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hasEstimate: false,
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advisorIDs: [],
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leadershipIDs: [],
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stateDeputyIDs: [],
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ownVotes2022: 0,
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fieldCeiling2022: 0,
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goalCoverage: emptyGoalCoverage,
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...overrides,
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})
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const fixture: TerritoryMunicipalityInput[] = [
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// Irecê (TI 01) — 2 municípios, 1 com assessor
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input({
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slug: 'ibipeba',
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region: 'Irecê',
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city: 'Ibipeba',
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votesByYear: { 2014: 10, 2018: 20, 2022: 30 },
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validVotesByYear: { 2022: 1000 },
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estimateByScenario: { pessimistic: 35, central: 40, optimistic: 45 },
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hasEstimate: true,
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advisorIDs: [7],
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leadershipIDs: [11, 12],
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stateDeputyIDs: [1, 2],
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ownVotes2022: 30,
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fieldCeiling2022: 300,
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goalCoverage: { goal: 100, committed: 20, coverageRatio: 0.2, deficit: 80 },
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}),
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input({
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slug: 'irece',
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region: 'Irecê',
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city: 'Irecê',
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votesByYear: { 2014: 5, 2018: 15, 2022: 25 },
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validVotesByYear: { 2022: 2000 },
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estimateByScenario: { pessimistic: 33, central: 35, optimistic: 37 },
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advisorIDs: [],
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leadershipIDs: [11],
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stateDeputyIDs: [2, 3],
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ownVotes2022: 25,
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fieldCeiling2022: 100,
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goalCoverage: { goal: 50, committed: 10, coverageRatio: 0.2, deficit: 40 },
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}),
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// Velho Chico (TI 02) — 1 município, com assessor
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input({
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slug: 'barra',
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region: 'Velho Chico',
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city: 'Barra',
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votesByYear: { 2014: 100, 2018: 110, 2022: 120 },
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validVotesByYear: { 2022: 5000 },
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estimateByScenario: { pessimistic: 140, central: 150, optimistic: 160 },
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hasEstimate: true,
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advisorIDs: [7, 8],
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ownVotes2022: 120,
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fieldCeiling2022: 1200,
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}),
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// Metropolitano de Salvador (TI 26) — Salvador (1 zona) + Camaçari (demais)
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input({
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slug: 'salvador-ze-1',
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region: 'Metropolitano de Salvador',
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city: 'Salvador',
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kind: 'zona',
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votesByYear: { 2014: 1000, 2018: 1100, 2022: 1200 },
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validVotesByYear: { 2022: 40000 },
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estimateByScenario: { pessimistic: 1200, central: 1300, optimistic: 1400 },
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hasEstimate: true,
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advisorIDs: [9],
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stateDeputyIDs: [5],
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ownVotes2022: 1200,
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fieldCeiling2022: 12000,
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}),
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input({
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slug: 'camacari',
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region: 'Metropolitano de Salvador',
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city: 'Camaçari',
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votesByYear: { 2014: 200, 2018: 210, 2022: 220 },
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validVotesByYear: { 2022: 8000 },
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estimateByScenario: { pessimistic: 240, central: 250, optimistic: 260 },
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advisorIDs: [10],
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ownVotes2022: 220,
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fieldCeiling2022: 2200,
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}),
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]
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describe('computeTerritoryRollup', () => {
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const rows = computeTerritoryRollup(fixture)
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it('returns one row per TI (3 regions)', () => {
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expect(rows.map((row) => row.region).sort()).toEqual(
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['Irecê', 'Metropolitano de Salvador', 'Velho Chico'].sort(),
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)
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})
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it('sums votes per year and valid votes 2022', () => {
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const irece = rows.find((row) => row.region === 'Irecê')!
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expect(irece.votesByYear).toEqual({ 2014: 15, 2018: 35, 2022: 55 })
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expect(irece.validVotes2022).toBe(3000)
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expect(irece.municipalityCount).toBe(2)
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})
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it('sums 2026 estimates per scenario', () => {
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const irece = rows.find((row) => row.region === 'Irecê')!
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expect(irece.estimateByScenario).toEqual({
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pessimistic: 68,
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central: 75,
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optimistic: 82,
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})
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})
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it('flags a territory as having an estimate when any municipality does', () => {
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const irece = rows.find((row) => row.region === 'Irecê')!
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const metro = rows.find((row) => row.region === 'Metropolitano de Salvador')!
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expect(irece.hasEstimate).toBe(true)
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expect(metro.hasEstimate).toBe(true)
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const allEmpty = computeTerritoryRollup([
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input({ slug: 'x', region: 'Velho Chico', city: 'X' }),
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])
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expect(allEmpty[0].hasEstimate).toBe(false)
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})
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it('unions advisors, leaderships and state deputies per territory (dedup)', () => {
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const irece = rows.find((row) => row.region === 'Irecê')!
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const velhoChico = rows.find((row) => row.region === 'Velho Chico')!
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const metro = rows.find((row) => row.region === 'Metropolitano de Salvador')!
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expect(irece.advisorIDs).toEqual([7])
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expect(irece.leadershipIDs).toEqual([11, 12])
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expect(irece.stateDeputyIDs).toEqual([1, 2, 3])
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expect(velhoChico.advisorIDs).toEqual([7, 8])
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expect(metro.advisorIDs).toEqual([9, 10])
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})
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it('counts municipalities with advisor', () => {
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const irece = rows.find((row) => row.region === 'Irecê')!
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expect(irece.withAdvisorCount).toBe(1)
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})
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it('computes % da própria votação as fraction of state total', () => {
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const stateTotal2022 = 30 + 25 + 120 + 1200 + 220 // 1395
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const velhoChico = rows.find((row) => row.region === 'Velho Chico')!
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expect(velhoChico.pctPropriaVotacao).toBeCloseTo(120 / stateTotal2022, 6)
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})
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it('decomposes Metropolitano into Salvador + Demais RMS sub-rows', () => {
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const metro = rows.find((row) => row.region === 'Metropolitano de Salvador')!
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expect(metro.subRows).toHaveLength(2)
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const salvador = metro.subRows![0]
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const demais = metro.subRows![1]
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expect(salvador.label).toBe(METROPOLITANO_SALVADOR_SUB_ROW_LABEL)
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expect(demais.label).toBe(METROPOLITANO_DEMAIS_SUB_ROW_LABEL)
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expect(salvador.municipalityCount).toBe(1)
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expect(demais.municipalityCount).toBe(1)
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// Sub-rows sum to the Metropolitano total.
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expect(salvador.votesByYear[2022] + demais.votesByYear[2022]).toBe(metro.votesByYear[2022])
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expect(salvador.estimateByScenario.central + demais.estimateByScenario.central).toBe(
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metro.estimateByScenario.central,
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)
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// Sub-rows carry their own network sets (Salvador zones × Demais RMS).
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expect(salvador.advisorIDs).toEqual([9])
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expect(demais.advisorIDs).toEqual([10])
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})
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it('returns zero % when state total is zero', () => {
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const empty = computeTerritoryRollup([input({ slug: 'x', region: 'Irecê', city: 'X' })])
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expect(empty[0].pctPropriaVotacao).toBe(0)
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})
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})
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describe('sortTerritoryRows', () => {
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const rows = computeTerritoryRollup(fixture)
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it('sorts by % da própria votação desc by default', () => {
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const sorted = sortTerritoryRows(rows, 'pct')
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expect(sorted[0].region).toBe('Metropolitano de Salvador')
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})
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it('keeps Metropolitano sub-rows attached to the parent', () => {
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const sorted = sortTerritoryRows(rows, 'municipalities', 'asc')
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const metro = sorted.find((row) => row.region === 'Metropolitano de Salvador')!
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expect(metro.subRows).toHaveLength(2)
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})
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it('sorts ascending when dir=asc', () => {
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const sorted = sortTerritoryRows(rows, 'votes2022', 'asc')
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expect(sorted[0].votesByYear[2022] ?? 0).toBeLessThanOrEqual(
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sorted[sorted.length - 1].votesByYear[2022] ?? 0,
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)
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})
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})
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describe('flattenTerritoryRows', () => {
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it('places Metropolitano sub-rows immediately after their parent', () => {
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const rows = sortTerritoryRows(computeTerritoryRollup(fixture), 'region', 'asc')
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const flattened = flattenTerritoryRows(rows)
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const metroIndex = flattened.findIndex(
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(row) => row.variant === 'parent' && row.region === 'Metropolitano de Salvador',
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)
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expect(flattened.slice(metroIndex, metroIndex + 3).map((row) => row.variant)).toEqual([
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'parent',
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'sub',
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'sub',
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])
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expect(flattened[metroIndex + 1]).toMatchObject({
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variant: 'sub',
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parentRegion: 'Metropolitano de Salvador',
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label: METROPOLITANO_SALVADOR_SUB_ROW_LABEL,
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})
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})
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})
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describe('filterTerritoryRows', () => {
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const rows = computeTerritoryRollup(fixture)
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it('combines accent-insensitive search and selected regions', () => {
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expect(
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filterTerritoryRows(rows, {
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q: 'irece',
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regions: ['Irecê', 'Velho Chico'],
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}).map((row) => row.region),
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).toEqual(['Irecê'])
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})
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it('treats com assessor as complete coverage and sem assessor as any gap', () => {
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// Velho Chico (1/1) and Metropolitano (Salvador + Camaçari both with advisor) are complete.
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expect(
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filterTerritoryRows(rows, { coverage: 'com_assessor' }).map((row) => row.region),
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).toEqual(['Velho Chico', 'Metropolitano de Salvador'])
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// Irecê has only ibipeba with an advisor → a gap.
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expect(
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filterTerritoryRows(rows, { coverage: 'sem_assessor' }).map((row) => row.region),
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).toEqual(['Irecê'])
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})
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it('keeps Metropolitano sub-rows attached when the parent matches', () => {
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const [metropolitano] = filterTerritoryRows(rows, { q: 'metropolitano' })
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expect(metropolitano.subRows).toHaveLength(2)
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})
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})
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describe('computeTerritoryE12Rollup (MAUP)', () => {
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const rows = computeTerritoryRollup(fixture)
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it('uses ratio of aggregates, not mean of ratios, when municipalities differ', () => {
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const heterogeneous: TerritoryMunicipalityInput[] = [
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input({
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slug: 'a',
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region: 'Irecê',
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city: 'A',
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ownVotes2022: 10,
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fieldCeiling2022: 100,
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goalCoverage: emptyGoalCoverage,
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}),
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input({
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slug: 'b',
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region: 'Irecê',
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city: 'B',
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ownVotes2022: 90,
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fieldCeiling2022: 100,
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goalCoverage: emptyGoalCoverage,
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}),
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]
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const rollup = computeTerritoryE12Rollup(heterogeneous)
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const mean = meanCaptureRateOfMunicipalities(heterogeneous)
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expect(rollup.captureRate).toBeCloseTo(0.5, 6)
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expect(mean).toBeCloseTo(0.5, 6)
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// Same in this symmetric case — use skewed ceilings to diverge.
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const skewed: TerritoryMunicipalityInput[] = [
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input({
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slug: 'low',
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region: 'Irecê',
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city: 'Low',
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ownVotes2022: 10,
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fieldCeiling2022: 1000,
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goalCoverage: emptyGoalCoverage,
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}),
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input({
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slug: 'high',
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region: 'Irecê',
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city: 'High',
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ownVotes2022: 90,
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fieldCeiling2022: 100,
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goalCoverage: emptyGoalCoverage,
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}),
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]
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const skewedRollup = computeTerritoryE12Rollup(skewed)
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const skewedMean = meanCaptureRateOfMunicipalities(skewed)!
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expect(skewedRollup.captureRate).toBeCloseTo(100 / 1100, 6)
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expect(skewedMean).not.toBeCloseTo(skewedRollup.captureRate!, 4)
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})
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it('names the municipality with the largest goal deficit as critical', () => {
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const irece = rows.find((row) => row.region === 'Irecê')!
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expect(irece.criticalMunicipality).toEqual({
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slug: 'ibipeba',
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name: 'ibipeba',
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deficit: 80,
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})
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expect(irece.goalCoverage.goal).toBe(150)
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expect(irece.goalCoverage.committed).toBe(30)
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})
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it('computes capture stats on Metropolitano sub-rows', () => {
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const metro = rows.find((row) => row.region === 'Metropolitano de Salvador')!
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const salvador = metro.subRows![0]
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expect(salvador.captureRate).not.toBeNull()
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expect(salvador.medianCapture).not.toBeNull()
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})
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})
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