diff --git a/.codex/setup.sh b/.codex/setup.sh new file mode 100644 index 00000000..d00c8b89 --- /dev/null +++ b/.codex/setup.sh @@ -0,0 +1,15 @@ +#!/usr/bin/env bash +set -euo pipefail + +NVM_DIR="$HOME/.nvm" +[ -s "$NVM_DIR/nvm.sh" ] && \ . "$NVM_DIR/nvm.sh" +nvm use 18 + +npm ci + +if [ ! -f .env.local ] && [ -f .env.example ]; then + cp .env.example .env.local +fi + +npm test || true +npm run lint || true diff --git a/.env.example b/.env.example new file mode 100644 index 00000000..fcc0c480 --- /dev/null +++ b/.env.example @@ -0,0 +1,4 @@ +OPENAI_API_KEY=your-server-key +NEXT_PUBLIC_OPENAI_API_KEY=your-client-key + +NEXT_PUBLIC_USE_LLM_BACKEND=false diff --git a/.github/workflows/check-agents.yml b/.github/workflows/check-agents.yml new file mode 100644 index 00000000..b23feb70 --- /dev/null +++ b/.github/workflows/check-agents.yml @@ -0,0 +1,17 @@ +name: Check AGENTS documentation + +on: + push: + branches: [main] + pull_request: + +jobs: + check: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-node@v4 + with: + node-version: 18 + - name: Verify AGENTS documentation updated + run: node scripts/check-agents-updated.js diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 00000000..0f56cce1 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,20 @@ +name: CI + +on: + push: + branches: [main] + pull_request: + +jobs: + build: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-node@v4 + with: + node-version: 18 + cache: 'npm' + cache-dependency-path: package-lock.json + - run: npm install + - run: npm test + - run: npm run lint diff --git a/.gitignore b/.gitignore index 047dc407..56e45f47 100644 --- a/.gitignore +++ b/.gitignore @@ -30,6 +30,7 @@ yarn-error.log* # env files (can opt-in for committing if needed) .env* +!.env.example # vercel .vercel @@ -37,4 +38,5 @@ yarn-error.log* # typescript *.tsbuildinfo next-env.d.ts -todo.md \ No newline at end of file +data/ +todo.md diff --git a/.nvmrc b/.nvmrc new file mode 100644 index 00000000..3c032078 --- /dev/null +++ b/.nvmrc @@ -0,0 +1 @@ +18 diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 00000000..cca3d695 --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,77 @@ +# Documentação dos Agentes + +## Introdução +Este projeto é mantido principalmente por um colaborador sem formação formal em desenvolvimento. Este arquivo serve para acumular o conhecimento adquirido sobre o código e registrar sua evolução. Para isso existe a subseção **O que mudou recentemente**, que lista de forma cronológica as alterações mais relevantes. + +## Visão Geral +Este repositório contém uma aplicação demo que simula um atendimento de crédito consignado via voz. A pasta `src/app/simple` apresenta a interface web utilizada durante a conversa e toda a lógica voltada para a agente **Marlene**. + +Marlene é um agente de voz configurado em `src/app/agentConfigs/marlene.ts`. Ela interage em português, com fala pausada e linguagem extremamente simples para atender principalmente idosos com baixa literacia digital. O comportamento dela envolve uma máquina de estados conversacional, ferramentas próprias e um backend de simulação de empréstimos. + +## O que mudou recentemente +- Julho/2024: adicionada opcao de pre-commit hook com testes e lint. +- Agosto/2024: gerenciamento da conversa movido para uma XState machine dedicada. +- Junho/2024: adicionadas orientacoes de contribuicao em CONTRIBUTING.md. +- Maio/2024: projeto iniciado como demonstração do agente Marlene e fluxo de concessão de crédito consignado. + + +## Principais Arquivos +- `src/app/agentConfigs/marlene.ts` – define a personalidade de Marlene, suas ferramentas e como cada chamada de ferramenta processa a conversa. +- `src/app/agentConfigs/utils.ts` – contém o contexto global da conversa, extração de entidades e funções para avançar a máquina de estados. +- `src/app/loanSimulator/index.ts` – backend falso que gera dados de benefício e simulações de empréstimo. +- `src/app/simple/machines/verificationMachine.ts` – máquina de estados para a verificação facial via câmera. +- `src/app/simple/machines/conversationMachine.ts` – controla o fluxo principal da conversa. + +## Máquina de Estados da Conversa +O fluxo da conversa é guiado por nove estados principais. A cada mensagem do usuário, `processUserInputAsync` extrai entidades (nome, número de benefício, valor desejado etc.) e `conversationMachine` decide para qual estado seguir. + +1. **1_greeting** – Marlene cumprimenta e começa a entender a necessidade do cliente. +2. **2_identify_need** – coleta nome, forma de tratamento preferida e finalidade do empréstimo. +3. **4_benefit_verification** – confirma o número do benefício e consulta limites. +4. **5_camera_verification** – verifica identidade por câmera antes de simular valores. +5. **6_loan_simulation** – apresenta opções de empréstimo conforme os dados coletados. +6. **7_understanding_check** – usa `verify_understanding` para garantir que o cliente compreendeu as condições. +7. **8_confirmation** – registra a intenção de contratar e gera documentação acessível. +8. **9_closing** – encerra o atendimento de forma cordial. +9. **10_early_exit** – caminho para quando o usuário desiste ou não tem interesse. + +`recordStateChange` persiste cada transição no contexto global (em `utils.ts`), permitindo retomar a conversa de onde parou se necessário. A função `resetConversationContext` restaura o estado inicial (`1_greeting`). + +## Ferramentas Disponíveis +Marlene utiliza várias ferramentas declaradas em `marlene.ts`: +- **animate_loan_value** – destaca valores de empréstimo na interface. +- **open_camera** / **close_camera** – controla a câmera para verificação de identidade. +- **verify_understanding** – avalia se o cliente entendeu o impacto do empréstimo. +- **simplify_financial_explanation** – traduz conceitos complexos para analogias simples. +- **consult_benefit** – consulta limites de benefício no backend simulado. +- **create_accessible_documentation** – gera um resumo (áudio, SMS ou impresso) para o cliente. + +A lógica de cada ferramenta fica em `toolLogic` dentro do próprio `marlene.ts`. + +## Verificação por Câmera +A verificação facial é controlada por `verificationMachine.ts`, uma máquina de estados XState independente. O fluxo é `idle → preparing → analyzing → verifying → completed`, com transições para `failed` em caso de erro ou se o tempo exceder 15 s em qualquer estágio inicial. + +## Backend de Empréstimo +O arquivo `loanSimulator/index.ts` gera dados fictícios de benefício e simulações. Quando a variável de ambiente `NEXT_PUBLIC_USE_LLM_BACKEND=true` é definida, o simulador passa a chamar `/api/loan/consult`, onde um modelo de linguagem produz respostas mais detalhadas e consistentes. Os resultados são armazenados em `data/llm-benefit-cache.json` para reutilização. + +## Executando o Projeto +Crie um arquivo `.env.local` com as chaves da OpenAI e demais variáveis: +``` +OPENAI_API_KEY=sk-... +NEXT_PUBLIC_OPENAI_API_KEY=sk-... +NEXT_PUBLIC_USE_LLM_BACKEND=true +``` +Instale as dependências e execute em modo de desenvolvimento: +``` +npm install +npm run dev +``` +A aplicação estará disponível em `http://localhost:3000/`. + +Para garantir a qualidade, use: +``` +npm test # executa a suíte Jest +npm run lint # verifica o código com eslint +``` + +Com esta estrutura, Marlene conduz o usuário por todo o processo de crédito consignado de maneira humanizada, utilizando a máquina de estados e o backend de simulação para fornecer respostas coerentes mesmo sem conexão real com sistemas bancários. diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 00000000..0cedac51 --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,24 @@ +# Contributing + +Thank you for your interest in improving this project! To keep track of changes over time, please follow these guidelines when submitting a pull request. + +## Document your changes + +Whenever you make a significant modification to any source code or tests, add a short entry under the **O que mudou recentemente** section in [`AGENTS.md`](AGENTS.md). The entry should briefly describe what was changed and the month/year. + +## Continuous integration check + +The workflow [`check-agents.yml`](.github/workflows/check-agents.yml) verifies that `AGENTS.md` was updated whenever files inside `src/` or `__tests__/` change. If you forget to update the file, your pull request will fail this check with a message reminding you to document your changes. + +Run the existing tests and linter with `npm test` and `npm run lint` before opening a PR. + + +## Optional pre-commit hook + +A script is available at `scripts/git-hooks/pre-commit` that runs `npm test` and `npm run lint`, the same checks executed in CI. To have it run automatically before each commit, create a symbolic link: + +``` +ln -s ../../scripts/git-hooks/pre-commit .git/hooks/pre-commit +``` + +This step is optional but recommended for frequent contributors. diff --git a/README.md b/README.md index 4e75c1a5..4a1f1d93 100644 --- a/README.md +++ b/README.md @@ -11,14 +11,49 @@ You should be able to use this repo to prototype your own multi-agent realtime v ## Setup -- This is a Next.js typescript app -- Install dependencies with `npm i` -- Add your `OPENAI_API_KEY` to your env -- Start the server with `npm run dev` -- Open your browser to [http://localhost:3000](http://localhost:3000) to see the app. It should automatically connect to the `simpleExample` Agent Set. - -## Configuring Agents -Configuration in `src/app/agentConfigs/simpleExample.ts` +### Requisitos +- Node.js >=18 <21. +- Este projeto é uma aplicação Next.js com TypeScript. + +### Instalação +- Execute `npm install` para instalar as dependências. + +### Configuração do ambiente +- Copie `.env.example` para `.env.local` e preencha as variáveis abaixo: + - `OPENAI_API_KEY` – chave usada pelo backend. + - `NEXT_PUBLIC_OPENAI_API_KEY` – chave visível no frontend. + - `NEXT_PUBLIC_USE_LLM_BACKEND` – quando `true` o backend utiliza o LLM para gerar dados fictícios; nesse caso o diretório `data/` será criado automaticamente para armazenar `llm-benefit-cache.json`. +- Após editar `package.json`, rode `npm install` novamente caso novas dependências (como `encoding`) tenham sido adicionadas. + +### Servidor de desenvolvimento +- Inicie com `npm run dev` e acesse [http://localhost:3000](http://localhost:3000). O app conecta automaticamente ao Agent Set `simpleExample`. +- Para testar somente a interface, sem precisar de conexão com a API, use [http://localhost:3000/playground](http://localhost:3000/playground). Esse modo roda offline e serve para experimentos de UI. + +### Loan simulator backend +Marlene consome o backend falso em `src/app/loanSimulator`. Rodar `npm run dev` com o Agent Set padrão (`marlene`) utiliza essas funções para simulações de empréstimo e ofertas Itaú. +Com `NEXT_PUBLIC_USE_LLM_BACKEND=true`, o simulador passa a chamar `/api/loan/consult`, gerando dados consistentes via modelo OpenAI. O resultado fica em `data/llm-benefit-cache.json` e o diretório `data/` é criado automaticamente se ainda não existir. + +## Testes e lint +- `npm test` executa a suíte Jest. +- `npm run lint` roda o linter do projeto. + +## Build para produção +- Gere o build com `npm run build`. +- Em seguida inicie o servidor com `npm start`. + +## Integração contínua +Este repositório possui um workflow de CI em `.github/workflows/ci.yml` que instala as dependências, +executa `npm test` e `npm run lint` usando Node.js 18. O fluxo utiliza o cache do `actions/setup-node` +para agilizar as execuções. + +Além disso, o workflow `.github/workflows/check-agents.yml` garante que qualquer mudança em arquivos de +código seja acompanhada de uma atualização no `AGENTS.md`. Caso o arquivo de documentação não seja +alterado quando arquivos em `src/` ou `__tests__/` forem modificados, o PR falhará com uma mensagem +orientando a atualizar o `AGENTS.md`. + +## Configurando agentes +Escolha um dos arquivos em `src/app/agentConfigs` para definir o comportamento dos agentes ou crie o seu próprio. +O exemplo abaixo mostra a configuração em `src/app/agentConfigs/simpleExample.ts`: ```javascript import { AgentConfig } from "@/app/types"; import { injectTransferTools } from "./utils"; @@ -54,8 +89,8 @@ This fully specifies the agent set that was used in the interaction shown in the - [frontDeskAuthentication](src/app/agentConfigs/frontDeskAuthentication) Guides the user through a step-by-step authentication flow, confirming each value character-by-character, authenticates the user with a tool call, and then transfers to another agent. Note that the second agent is intentionally "bored" to show how to prompt for personality and tone. - [customerServiceRetail](src/app/agentConfigs/customerServiceRetail) Also guides through an authentication flow, reads a long offer from a canned script verbatim, and then walks through a complex return flow which requires looking up orders and policies, gathering user context, and checking with `o1-mini` to ensure the return is eligible. To test this flow, say that you'd like to return your snowboard and go through the necessary prompts! -### Defining your own agents -- You can copy these to make your own multi-agent voice app! Once you make a new agent set config, add it to `src/app/agentConfigs/index.ts` and you should be able to select it in the UI in the "Scenario" dropdown menu. +### Definindo seus próprios agentes +- Você pode copiar esses exemplos para criar seu próprio voice app multiagente! Após criar uma nova configuração, adicione-a em `src/app/agentConfigs/index.ts` para que ela apareça no menu "Scenario" da interface. - To see how to define tools and toolLogic, including a background LLM call, see [src/app/agentConfigs/customerServiceRetail/returns.ts](src/app/agentConfigs/customerServiceRetail/returns.ts) - To see how to define a detailed personality and tone, and use a prompt state machine to collect user information step by step, see [src/app/agentConfigs/frontDeskAuthentication/authentication.ts](src/app/agentConfigs/frontDeskAuthentication/authentication.ts) - To see how to wire up Agents into a single Agent Set, see [src/app/agentConfigs/frontDeskAuthentication/index.ts](src/app/agentConfigs/frontDeskAuthentication/index.ts) @@ -70,3 +105,6 @@ This fully specifies the agent set that was used in the interaction shown in the ## Core Contributors - Noah MacCallum - [noahmacca](https://x.com/noahmacca) - Ilan Bigio - [ibigio](https://github.com/ibigio) + +## Contributing +See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines on documenting your code changes and running the checks. Frequent contributors may want to install the optional pre-commit hook described there. diff --git a/__tests__/conversationMachine.test.ts b/__tests__/conversationMachine.test.ts new file mode 100644 index 00000000..ca34e33a --- /dev/null +++ b/__tests__/conversationMachine.test.ts @@ -0,0 +1,34 @@ +import { conversationMachine } from '@/app/simple/machines/conversationMachine'; + +describe('conversationMachine', () => { + test('benefit and value from greeting jumps to loan simulation', () => { + let state = conversationMachine.initialState; + state = conversationMachine.transition(state, { type: 'BENEFIT_AND_VALUE_PROVIDED' }); + expect(state.value).toBe('6_loan_simulation'); + }); + + test('name leads to identify_need', () => { + let state = conversationMachine.initialState; + state = conversationMachine.transition(state, { type: 'NAME_DETECTED' }); + expect(state.value).toBe('2_identify_need'); + }); + + test('benefit confirmed without camera goes to camera verification', () => { + let state = { + value: '4_benefit_verification', + context: { cameraVerified: false } + } as any; + state = conversationMachine.transition(state, { type: 'BENEFIT_CONFIRMED' }); + expect(state.value).toBe('5_camera_verification'); + }); + + test('camera verification completes flow', () => { + let state = { + value: '5_camera_verification', + context: { cameraVerified: false } + } as any; + state = conversationMachine.transition(state, { type: 'CAMERA_VERIFIED' }); + expect(state.value).toBe('6_loan_simulation'); + expect(state.context.cameraVerified).toBe(true); + }); +}); diff --git a/__tests__/conversationUtils.test.ts b/__tests__/conversationUtils.test.ts new file mode 100644 index 00000000..d246f03b --- /dev/null +++ b/__tests__/conversationUtils.test.ts @@ -0,0 +1,50 @@ +import { processUserInput, exportContext, resetConversationContext, setCameraVerified } from '@/app/agentConfigs/utils'; + +beforeEach(() => { + resetConversationContext(); +}); + +describe('processUserInput', () => { + test('extracts entities and updates context', () => { + const phrase = 'Meu nome é Joao. Meu benefício é 123456. Quero um empréstimo de R$ 50.000 para reforma. Estou com meu filho.'; + const result = processUserInput(phrase); + + expect(result.entities).toEqual(expect.objectContaining({ + name: 'Joao', + benefitNumber: '123456', + requestedAmount: 'R$ 50.000', + purpose: 'reforma', + hasCompanion: true, + companionType: 'filho(a)' + })); + expect(result.recommendedState).toBe('6_loan_simulation'); + + const context = exportContext(); + expect(context.name).toBe('Joao'); + expect(context.benefitNumber).toBe('123456'); + expect(context.requestedAmount).toBe('R$ 50.000'); + expect(context.purpose).toBe('reforma'); + expect(context.hasCompanion).toBe(true); + expect(context.companionType).toBe('filho(a)'); + expect(context.confirmedEntities.has('benefitNumber')).toBe(true); + }); + + test('recommends loan simulation when camera is verified', () => { + setCameraVerified(true); + const phrase = 'Meu benefício é 654321 e quero um empréstimo de R$ 10.000'; + const result = processUserInput(phrase); + expect(result.recommendedState).toBe('6_loan_simulation'); + }); + + test('context persists across multiple inputs', () => { + processUserInput('Meu nome é Maria'); + let context = exportContext(); + expect(context.name).toBe('Maria'); + expect(context.benefitNumber).toBeUndefined(); + + processUserInput('Número do benefício 111222'); + context = exportContext(); + expect(context.name).toBe('Maria'); + expect(context.benefitNumber).toBe('111222'); + }); +}); diff --git a/__tests__/loanConsult.test.ts b/__tests__/loanConsult.test.ts new file mode 100644 index 00000000..5ee0f37f --- /dev/null +++ b/__tests__/loanConsult.test.ts @@ -0,0 +1,82 @@ +let POST: typeof import('@/app/api/loan/consult/route').POST; +import { NextResponse } from 'next/server'; +import { consultarBeneficio } from '@/app/loanSimulator'; +import fs from 'fs'; +import path from 'path'; +import os from 'os'; + +// mock OpenAI module +// use `var` so the variable is hoisted and available inside the factory +var createMock: jest.Mock; + +function makeRequest(body: any) { + return new Request('http://localhost/api/loan/consult', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(body), + }); +} + +describe('loan consult route', () => { + let cwdSpy: jest.SpyInstance; + let tmpDir: string; + beforeEach(() => { + jest.resetModules(); + const realCwd = process.cwd(); + fs.rmSync(path.join(realCwd, 'data'), { recursive: true, force: true }); + tmpDir = fs.mkdtempSync(path.join(os.tmpdir(), 'llm-test-')); + cwdSpy = jest.spyOn(process, 'cwd').mockReturnValue(tmpDir); + createMock = jest.fn(); + jest.doMock('openai', () => ({ + __esModule: true, + default: jest.fn().mockImplementation(() => ({ + chat: { completions: { create: createMock } }, + })), + })); + POST = require('@/app/api/loan/consult/route').POST; + }); + afterEach(() => { + cwdSpy.mockRestore(); + fs.rmSync(tmpDir, { recursive: true, force: true }); + }); + + test('returns valid JSON when LLM responds', async () => { + const mockData = consultarBeneficio('1', 'Jo'); + createMock.mockResolvedValueOnce({ + choices: [ + { message: { content: JSON.stringify(mockData) } }, + ], + }); + const req = makeRequest({ numeroBeneficio: '1', nomeCliente: 'Jo' }); + const res = await POST(req); + expect(res.status).toBe(200); + const data = await res.json(); + expect(data).toHaveProperty('beneficiario'); + }); + + test('uses cache on subsequent call', async () => { + const mockData = consultarBeneficio('2', 'Ana'); + createMock.mockResolvedValueOnce({ + choices: [ + { message: { content: JSON.stringify(mockData) } }, + ], + }); + const body = { numeroBeneficio: '2', nomeCliente: 'Ana' }; + const res1 = await POST(makeRequest(body)); + expect(res1.status).toBe(200); + await res1.json(); + const res2 = await POST(makeRequest(body)); + expect(res2.status).toBe(200); + await res2.json(); + expect(createMock).toHaveBeenCalledTimes(1); + }); + + test('returns 500 on OpenAI failure', async () => { + createMock.mockRejectedValueOnce(new Error('boom')); + const req = makeRequest({ numeroBeneficio: '3', nomeCliente: 'Eli' }); + const res = await POST(req); + expect(res.status).toBe(500); + const data = await res.json(); + expect(data).toHaveProperty('error'); + }); +}); diff --git a/__tests__/useWebRTCConnection.test.ts b/__tests__/useWebRTCConnection.test.ts new file mode 100644 index 00000000..0608f24b --- /dev/null +++ b/__tests__/useWebRTCConnection.test.ts @@ -0,0 +1,93 @@ +import React from 'react'; +import { act } from 'react'; +import { renderToString } from 'react-dom/server'; +import { useWebRTCConnection } from '@/app/simple/hooks/useWebRTCConnection'; +import marleneConfig from '@/app/agentConfigs/marlene'; + +jest.mock('@/app/lib/realtimeConnection', () => ({ + createRealtimeConnection: jest.fn() +})); + +import { createRealtimeConnection } from '@/app/lib/realtimeConnection'; + +function renderHook(fn: () => T) { + const result: { current: T | null } = { current: null }; + function Test() { + result.current = fn(); + return null; + } + act(() => { + renderToString(React.createElement(Test)); + }); + return { result }; +} + +describe('useWebRTCConnection', () => { + test('handles function_call output and triggers new response', async () => { + (global as any).document = { + createElement: () => ({ autoplay: false }) + } as any; + + const sendMock = jest.fn(); + const dc: any = { readyState: 'open', send: sendMock }; + const pc: any = {}; + (createRealtimeConnection as jest.Mock).mockResolvedValue({ pc, dc }); + + const originalToolLogic = marleneConfig[0].toolLogic; + const functionResult = { ok: true }; + marleneConfig[0].toolLogic = { + test_fn: jest.fn().mockResolvedValue(functionResult) + } as any; + + process.env.NEXT_PUBLIC_OPENAI_API_KEY = 'testkey'; + + const { result } = renderHook(() => useWebRTCConnection()); + const hook = result.current!; + + await act(async () => { + await hook.connect(); + }); + + act(() => { + dc.onopen && dc.onopen(); + }); + + const initialCalls = sendMock.mock.calls.length; + + const message = { + type: 'response.done', + response: { + output: [ + { + type: 'function_call', + name: 'test_fn', + arguments: JSON.stringify({ foo: 'bar' }), + call_id: 'abc' + } + ] + } + }; + + await act(async () => { + dc.onmessage && dc.onmessage({ data: JSON.stringify(message) }); + await Promise.resolve(); + }); + + expect((marleneConfig[0].toolLogic as any).test_fn).toHaveBeenCalledWith({ foo: 'bar' }); + expect(sendMock).toHaveBeenCalledTimes(initialCalls + 2); + + const callOutput = JSON.parse(sendMock.mock.calls[initialCalls][0]); + expect(callOutput).toEqual({ + type: 'conversation.item.create', + item: { + type: 'function_call_output', + call_id: 'abc', + output: JSON.stringify(functionResult) + } + }); + const nextResponse = JSON.parse(sendMock.mock.calls[initialCalls + 1][0]); + expect(nextResponse).toEqual({ type: 'response.create' }); + + marleneConfig[0].toolLogic = originalToolLogic; + }); +}); diff --git a/__tests__/verificationMachine.test.ts b/__tests__/verificationMachine.test.ts new file mode 100644 index 00000000..bcc85413 --- /dev/null +++ b/__tests__/verificationMachine.test.ts @@ -0,0 +1,52 @@ +import { verificationMachine } from '@/app/simple/machines/verificationMachine'; + +describe('verificationMachine', () => { + test('progresses through successful flow', () => { + jest.useFakeTimers().setSystemTime(new Date('2024-01-01T00:00:00Z')); + let state = verificationMachine.initialState; + + state = verificationMachine.transition(state, { type: 'START' }); + expect(state.value).toBe('preparing'); + expect(state.context.step).toBe(1); + expect(state.context.startTime).toBe(Date.now()); + + state = verificationMachine.transition(state, { type: 'PROGRESS', step: 2 }); + expect(state.value).toBe('analyzing'); + expect(state.context.step).toBe(2); + + state = verificationMachine.transition(state, { type: 'PROGRESS', step: 3 }); + expect(state.value).toBe('verifying'); + expect(state.context.step).toBe(3); + + jest.setSystemTime(new Date('2024-01-01T01:00:00Z')); + state = verificationMachine.transition(state, { type: 'COMPLETE' }); + expect(state.value).toBe('completed'); + expect(state.context.step).toBe(4); + expect(state.context.completionTime).toBe(Date.now()); + + jest.useRealTimers(); + }); + + test('handles cancellation from preparing', () => { + let state = verificationMachine.initialState; + state = verificationMachine.transition(state, { type: 'START' }); + state = verificationMachine.transition(state, { type: 'CANCEL' }); + expect(state.value).toBe('idle'); + expect(state.context.step).toBe(0); + expect(state.context.startTime).toBeNull(); + }); + + test('handles error and restart', () => { + let state = verificationMachine.initialState; + state = verificationMachine.transition(state, { type: 'START' }); + const err = new Error('boom'); + state = verificationMachine.transition(state, { type: 'ERROR', error: err }); + expect(state.value).toBe('failed'); + expect(state.context.error).toBe(err); + + state = verificationMachine.transition(state, { type: 'START' }); + expect(state.value).toBe('preparing'); + expect(state.context.step).toBe(1); + expect(state.context.error).toBeNull(); + }); +}); diff --git a/create_structure.sh b/create_structure.sh new file mode 100644 index 00000000..50e50c37 --- /dev/null +++ b/create_structure.sh @@ -0,0 +1,55 @@ +#!/bin/bash + +# Definir diretório base +BASE_DIR="src/app/simple" + +# Criar diretório base (se não existir) +mkdir -p $BASE_DIR + +# Criar estrutura de diretórios +mkdir -p $BASE_DIR/components +mkdir -p $BASE_DIR/contexts +mkdir -p $BASE_DIR/hooks +mkdir -p $BASE_DIR/services +mkdir -p $BASE_DIR/machines +mkdir -p $BASE_DIR/utils + +# Criar arquivos de componentes (vazios) +touch $BASE_DIR/components/PhoneMockup.tsx +touch $BASE_DIR/components/StatusBar.tsx +touch $BASE_DIR/components/BrowserNavbar.tsx +touch $BASE_DIR/components/CameraView.tsx +touch $BASE_DIR/components/VerificationProgress.tsx +touch $BASE_DIR/components/PushToTalkButton.tsx +touch $BASE_DIR/components/AnimatedFooter.tsx + +# Criar arquivos de contextos +touch $BASE_DIR/contexts/ConnectionContext.tsx +touch $BASE_DIR/contexts/CameraContext.tsx +touch $BASE_DIR/contexts/VerificationContext.tsx +touch $BASE_DIR/contexts/UIContext.tsx + +# Criar arquivos de hooks +touch $BASE_DIR/hooks/useWebRTCConnection.ts +touch $BASE_DIR/hooks/useCamera.ts +touch $BASE_DIR/hooks/useAudioAnalysis.ts +touch $BASE_DIR/hooks/useVerificationProcess.ts + +# Criar arquivos de serviços +touch $BASE_DIR/services/AgentService.ts +touch $BASE_DIR/services/AudioService.ts +touch $BASE_DIR/services/LocalStorageService.ts + +# Criar arquivos de máquinas de estado +touch $BASE_DIR/machines/verificationMachine.ts + +# Criar arquivos de utilitários +touch $BASE_DIR/utils/errorHandling.ts +touch $BASE_DIR/utils/formatting.ts + +# Criar arquivos principais +touch $BASE_DIR/page.tsx +touch $BASE_DIR/types.ts + +echo "Estrutura de diretórios criada com sucesso em $BASE_DIR" + diff --git a/jest.config.js b/jest.config.js new file mode 100644 index 00000000..4b79b244 --- /dev/null +++ b/jest.config.js @@ -0,0 +1,7 @@ +module.exports = { + preset: 'ts-jest', + testEnvironment: 'node', + moduleNameMapper: { + '^@/(.*)$': '/src/$1', + }, +}; diff --git a/next.config.js b/next.config.js new file mode 100644 index 00000000..f137fc4a --- /dev/null +++ b/next.config.js @@ -0,0 +1,31 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + // Suas configurações existentes... + + // Adicionar esta configuração para permitir o carregamento dos modelos + webpack: (config) => { + config.resolve.fallback = { + ...config.resolve.fallback, + fs: false, + }; + + return config; + }, + + // Importante para permitir o acesso aos modelos + async headers() { + return [ + { + source: '/models/:path*', + headers: [ + { + key: 'Cache-Control', + value: 'public, max-age=31536000, immutable', + }, + ], + }, + ]; + }, +}; + +module.exports = nextConfig; diff --git a/next.config.ts b/next.config.ts deleted file mode 100644 index e9ffa308..00000000 --- a/next.config.ts +++ /dev/null @@ -1,7 +0,0 @@ -import type { NextConfig } from "next"; - -const nextConfig: NextConfig = { - /* config options here */ -}; - -export default nextConfig; diff --git a/package-lock.json b/package-lock.json index 58237105..fe57fbde 100644 --- a/package-lock.json +++ b/package-lock.json @@ -8,23 +8,34 @@ "name": "realtime-examples", "version": "0.1.0", "dependencies": { - "next": "15.1.4", + "@xstate/fsm": "^2.0.1", + "dat.gui": "^0.7.9", + "encoding": "^0.1.13", + "face-api.js": "^0.20.0", + "next": "^15.3.0", "openai": "^4.77.3", "react": "^19.0.0", "react-dom": "^19.0.0", "react-markdown": "^9.0.3", + "three": "^0.168.0", "uuid": "^11.0.4" }, "devDependencies": { "@eslint/eslintrc": "^3", + "@types/jest": "^29.5.11", "@types/node": "^20", "@types/react": "^19", "@types/react-dom": 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\ No newline at end of file diff --git a/scripts/check-agents-updated.js b/scripts/check-agents-updated.js new file mode 100644 index 00000000..75e24ac3 --- /dev/null +++ b/scripts/check-agents-updated.js @@ -0,0 +1,42 @@ +const { execSync } = require('child_process'); + +const BASE_BRANCH = 'origin/main'; + +try { + execSync(`git fetch origin main`, { stdio: 'inherit' }); +} catch (err) { + console.warn('Could not fetch origin/main:', err.message); +} + +let baseExists = true; +try { + execSync(`git rev-parse --verify ${BASE_BRANCH}`, { stdio: 'ignore' }); +} catch { + baseExists = false; +} + +if (!baseExists) { + console.warn(`${BASE_BRANCH} not found. Skipping AGENTS.md check.`); + process.exit(0); +} + +const diffFiles = execSync(`git diff --name-only ${BASE_BRANCH}`, { + encoding: 'utf8' +}) + .split('\n') + .filter(Boolean); + +const sourcePatterns = [/^src\//, /^__tests__\//]; +const sourceChanged = diffFiles.some((file) => + sourcePatterns.some((pattern) => pattern.test(file)) +); + +const agentsUpdated = diffFiles.includes('AGENTS.md'); + +if (sourceChanged && !agentsUpdated) { + console.error('Source files changed but AGENTS.md not updated.'); + console.error('Please document your changes in AGENTS.md.'); + process.exit(1); +} else { + console.log('AGENTS.md updated or no relevant source file changes detected.'); +} diff --git a/scripts/git-hooks/pre-commit b/scripts/git-hooks/pre-commit new file mode 100755 index 00000000..2a28a1e1 --- /dev/null +++ b/scripts/git-hooks/pre-commit @@ -0,0 +1,4 @@ +#!/usr/bin/env sh +set -e +npm test +npm run lint diff --git a/src/app/agentConfigs/idosos-ibge.txt b/src/app/agentConfigs/idosos-ibge.txt new file mode 100644 index 00000000..3b7c3776 --- /dev/null +++ b/src/app/agentConfigs/idosos-ibge.txt @@ -0,0 +1,317 @@ +Análise dos Dados sobre a População Idosa Brasileira: Uso de Tecnologia, Alfabetização e Disparidades Regionais +A análise dos dados contidos nas tabelas_idosos do IBGE revela um panorama abrangente sobre a população idosa brasileira, destacando importantes disparidades regionais, educacionais e de acesso à tecnologia. Este documento apresenta uma análise detalhada desses dados, focando nas relações entre alfabetização, uso de internet e telefonia móvel, e como essas variáveis se manifestam nas diferentes regiões do país. +Perfil Demográfico da População Idosa Brasileira +Em 2023, o Brasil contava com aproximadamente 33,6 milhões de pessoas com 60 anos ou mais, representando um contingente significativo da população total. A distribuição por sexo mostra uma predominância feminina, com 18,8 milhões de mulheres (55,9%) contra 14,8 milhões de homens (44,1%). Esta feminização da velhice é um fenômeno consistente em todas as regiões do país. +A distribuição regional da população idosa apresenta concentrações desiguais: +Sudeste: 15,9 milhões (47,3% do total de idosos) +Nordeste: 8,2 milhões (24,5%) +Sul: 5,1 milhões (15,3%) +Centro-Oeste: 2,2 milhões (6,5%) +Norte: 2,0 milhões (6,0%) +Alfabetização e Escolaridade: Profundas Desigualdades +A análise dos dados de alfabetização revela uma das mais significativas disparidades entre os idosos brasileiros. A taxa média de analfabetismo entre pessoas com 60 anos ou mais é de 15,4% em nível nacional, mas apresenta variações dramáticas entre as regiões: +Nordeste: 31,4% (mais que o dobro da média nacional) +Norte: 22,0% +Centro-Oeste: 13,6% +Sul: 8,8% +Sudeste: 8,5% +Quando analisamos a interseção entre região e raça/cor, as disparidades tornam-se ainda mais acentuadas. Entre idosos pretos ou pardos no Nordeste, a taxa de analfabetismo atinge 34,5%, enquanto entre brancos na mesma região é de 23,9%. No Sudeste, a taxa entre pretos ou pardos (13,5%) é mais que o dobro da observada entre brancos (5,2%). +A média de anos de estudo também reflete essas desigualdades: +Média nacional: 7,4 anos +Idosos brancos: 8,3 anos +Idosos pretos ou pardos: 5,8 anos (30% menos que brancos) +Por região, a média de anos de estudo varia de: +Sudeste: 8,1 anos +Centro-Oeste: 7,3 anos +Sul: 7,2 anos +Norte: 6,0 anos +Nordeste: 5,4 anos (33% menos que o Sudeste) +Inclusão Digital: Uso de Internet e Dispositivos Móveis +Os dados sobre uso de tecnologias digitais revelam outro aspecto crucial da desigualdade entre idosos. Do total de 33,6 milhões de idosos, 23,5 milhões (70%) utilizaram internet em 2023, enquanto 10,5 milhões (30%) permaneceram excluídos digitalmente. +A análise regional do uso de internet mostra padrões que se correlacionam com os indicadores educacionais: +Sudeste: 73,6% dos idosos usaram internet +Sul: 72,5% +Centro-Oeste: 77,3% +Norte: 63,6% +Nordeste: 60,6% +Quanto ao uso de telefonia móvel, 76,1% dos idosos brasileiros são usuários de celular, com variações regionais significativas: +Centro-Oeste: 83,5% (maior taxa) +Sudeste: 80,8% +Sul: 78,8% +Norte: 70,8% +Nordeste: 64,7% (menor taxa) +Correlação entre Educação e Inclusão Digital +A análise dos dados permite identificar uma forte correlação entre os níveis educacionais e o acesso às tecnologias digitais. Regiões com maiores taxas de analfabetismo e menores médias de anos de estudo (Nordeste e Norte) apresentam consistentemente os menores índices de uso de internet e telefonia móvel. +Esta correlação é particularmente evidente quando comparamos: +Nordeste: 31,4% de analfabetismo, 5,4 anos de estudo em média, 60,6% de uso de internet +Sudeste: 8,5% de analfabetismo, 8,1 anos de estudo em média, 73,6% de uso de internet +Barreiras para o Uso de Tecnologias Digitais +Os dados revelam as principais barreiras que impedem os idosos de utilizar tecnologias digitais: +Motivos para não usar internet: +Não saber utilizar: 7,6 milhões de idosos (principal razão) +Falta de necessidade +Custo do serviço/equipamento +Preocupação com segurança +Motivos para não ter celular: +Não saber usar (principal razão) +Preço do aparelho +Uso de celular de outra pessoa +Falta de necessidade +Disparidades de Gênero no Uso de Tecnologia +Os dados também revelam diferenças de gênero no uso de tecnologias. Curiosamente, entre os idosos, as mulheres apresentam taxas ligeiramente superiores de uso de celular em comparação aos homens: +Mulheres idosas: 77,1% são usuárias de celular +Homens idosos: 74,8% são usuários de celular +Este padrão contrasta com o observado em outras faixas etárias e sugere dinâmicas específicas de adoção tecnológica entre idosos. +Situação Econômica e Acesso à Renda +Um aspecto fundamental para compreender a realidade dos idosos brasileiros é sua situação econômica. Os dados mostram que 28,9 milhões de pessoas com 60 anos ou mais recebem algum tipo de aposentadoria ou pensão, representando 86% do total de idosos. +A distribuição regional dos beneficiários de aposentadoria e pensão segue padrão semelhante à distribuição demográfica geral: +Sudeste: 13,4 milhões (46,4%) +Nordeste: 7,2 milhões (24,9%) +Sul: 5,1 milhões (17,6%) +Centro-Oeste: 1,7 milhão (5,9%) +Norte: 1,6 milhão (5,5%) +Conclusões e Implicações +A análise dos dados das tabelas_idosos do IBGE revela um cenário de profundas desigualdades entre a população idosa brasileira. Estas desigualdades manifestam-se em múltiplas dimensões - regional, racial, educacional e de acesso à tecnologia - e tendem a se reforçar mutuamente, criando um ciclo de exclusão para determinados grupos. +Os dados evidenciam que: +Existe uma forte correlação entre níveis educacionais e inclusão digital, com regiões de menor escolaridade apresentando menores taxas de uso de internet e celular. +As disparidades regionais são acentuadas, com o Nordeste apresentando os piores indicadores em praticamente todas as dimensões analisadas. +A interseccionalidade entre raça e região amplifica as desigualdades, com idosos pretos e pardos do Nordeste enfrentando as maiores barreiras educacionais. +A principal barreira para a inclusão digital é o não saber utilizar as tecnologias, o que aponta para a necessidade de políticas específicas de alfabetização digital para idosos. +Apesar das desigualdades, a penetração da tecnologia móvel entre idosos é significativa (76,1%), sugerindo um potencial para políticas de inclusão baseadas nessa tecnologia. +Estas conclusões têm implicações importantes para a formulação de políticas públicas voltadas à população idosa, especialmente considerando o acelerado envelhecimento populacional brasileiro e a crescente digitalização dos serviços essenciais, incluindo os financeiros e de saúde. +A redução dessas desigualdades demandará esforços coordenados em múltiplas frentes, incluindo educação continuada, alfabetização digital, políticas de inclusão tecnológica e ações específicas voltadas às regiões e grupos mais vulneráveis. +Análise Detalhada dos Dados sobre a População Idosa Brasileira: Correlações entre Uso de Tecnologia, Alfabetização e Disparidades Regionais +Panorama Demográfico da População Idosa +Os dados do IBGE revelam um contingente significativo de pessoas idosas no Brasil, com características demográficas que merecem análise aprofundada. Em 2023, o país contava com 33,57 milhões de pessoas com 60 anos ou mais, representando aproximadamente 15,7% da população total brasileira. +A distribuição por sexo mostra uma feminização da velhice, fenômeno consistente em todas as regiões: +Região Total (mil pessoas) Homens (mil pessoas) Mulheres (mil pessoas) % Mulheres +Brasil 33.574 14.789 18.784 56,0% +Norte 2.044 957 1.086 53,1% +Nordeste 8.252 3.640 4.612 55,9% +Sudeste 15.900 6.870 9.030 56,8% +Sul 5.143 2.309 2.834 55,1% +Centro-Oeste 2.235 1.014 1.221 54,6% +Quando analisamos a população com 65 anos ou mais, observamos um total de 23,37 milhões de pessoas, mantendo-se a predominância feminina: +Região Total (mil pessoas) Homens (mil pessoas) Mulheres (mil pessoas) % Mulheres +Brasil 23.373 10.056 13.316 57,0% +Norte 1.388 652 736 53,0% +Nordeste 5.798 2.478 3.319 57,2% +Sudeste 11.076 4.657 6.419 58,0% +Sul 3.600 1.589 2.011 55,9% +Centro-Oeste 1.511 680 832 55,1% +A distribuição regional revela concentrações desiguais, com o Sudeste abrigando 47,4% da população idosa brasileira, seguido pelo Nordeste (24,6%), Sul (15,3%), Centro-Oeste (6,7%) e Norte (6,1%). +Inclusão Digital e Uso de Internet +A análise do uso de internet entre idosos revela um cenário de inclusão digital parcial, com disparidades regionais significativas: +Região Total (mil pessoas) Utilizou Internet Não Utilizou Internet % Utilizou % Não Utilizou +Brasil 34.021 23.465 10.556 69,0% 31,0% +Norte 2.083 1.376 707 66,1% 33,9% +Nordeste 8.438 4.965 3.474 58,8% 41,2% +Sudeste 16.010 11.746 4.264 73,4% 26,6% +Sul 5.249 3.679 1.570 70,1% 29,9% +Centro-Oeste 2.240 1.699 541 75,8% 24,2% +Observa-se que o Centro-Oeste possui a maior taxa de uso de internet (75,8%), seguido pelo Sudeste (73,4%), Sul (70,1%), Norte (66,1%) e Nordeste (58,8%). Esta distribuição apresenta uma correlação direta com os indicadores educacionais e de renda dessas regiões. +Frequência de Uso da Internet +Quando analisamos a frequência de uso da internet entre idosos, percebemos que a maioria dos usuários acessa diariamente: +Região Total Usuários (mil) Todos os dias 5-6 vezes/semana 1-4 vezes/semana Menos de 1 vez/semana +Brasil 22.466 19.443 (86,5%) 1.033 (4,6%) 1.555 (6,9%) 435 (1,9%) +Norte 1.306 1.112 (85,1%) 69 (5,3%) 96 (7,4%) 28 (2,1%) +Nordeste 4.676 4.015 (85,9%) 214 (4,6%) 342 (7,3%) 104 (2,2%) +Sudeste 11.307 9.804 (86,7%) 488 (4,3%) 791 (7,0%) 224 (2,0%) +Sul 3.544 3.069 (86,6%) 192 (5,4%) 230 (6,5%) 53 (1,5%) +Centro-Oeste 1.634 1.443 (88,3%) 70 (4,3%) 96 (5,9%) 25 (1,5%) +Esta tabela revela um padrão consistente de uso frequente entre os idosos que têm acesso à internet, com mais de 85% acessando diariamente em todas as regiões. +Motivos para Não Usar Internet +Entre os 10,56 milhões de idosos que não usam internet, as razões são diversas: +Motivo para não usar Internet Total (mil pessoas) % do total de não usuários +Não sabia utilizar a internet 7.631 72,3% +Falta de necessidade 2.536 24,0% +Serviço de Internet caro 570 5,4% +Outro motivo 341 3,2% +Preocupação com segurança 130 1,2% +Equipamento caro 133 1,3% +Falta de tempo 114 1,1% +Serviço indisponível 99 0,9% +O principal motivo é o desconhecimento sobre como utilizar a internet (72,3%), seguido pela percepção de falta de necessidade (24,0%). Estes dados revelam que a barreira principal é educacional/cognitiva, e não econômica ou de infraestrutura. +Uso de Celular e Barreiras de Acesso +O uso de telefonia móvel entre idosos apresenta taxas significativas, mas com variações regionais importantes: +Região Taxa de Uso de Celular (%) Homens (%) Mulheres (%) +Brasil 76,1 74,8 77,1 +Norte 70,8 70,2 71,4 +Nordeste 64,7 60,4 68,0 +Sudeste 80,8 81,1 80,7 +Sul 78,8 77,5 79,8 +Centro-Oeste 83,5 82,7 84,2 +Observa-se que o Centro-Oeste apresenta a maior taxa de uso (83,5%), seguido pelo Sudeste (80,8%), Sul (78,8%), Norte (70,8%) e Nordeste (64,7%). Interessante notar que, em quase todas as regiões, as mulheres idosas apresentam taxas ligeiramente superiores de uso de celular em comparação aos homens. +Distribuição de Não Usuários de Celular por Região +Região Total Não Usuários (mil) Homens (mil) Mulheres (mil) % do Total Nacional +Brasil 8.143 3.780 4.362 100,0% +Norte 608 293 314 7,5% +Nordeste 2.982 1.471 1.510 36,6% +Sudeste 3.069 1.307 1.763 37,7% +Sul 1.114 530 584 13,7% +Centro-Oeste 370 179 191 4,5% +Embora o Sudeste tenha a maior quantidade absoluta de idosos sem celular (3,07 milhões), é o Nordeste que apresenta a maior proporção relativa à sua população idosa total (36,1% não usam celular no Nordeste, contra 19,3% no Sudeste). +Motivos para Não Ter Celular +Entre os 8,14 milhões de idosos que não possuem celular, os motivos são diversos: +Motivo da Não Posse de Celular Total (mil pessoas) % do total de não usuários +Não sabia usar celular 4.567 56,1% +Falta de necessidade 2.073 25,5% +Aparelho telefônico era caro 595 7,3% +Usava celular de outra pessoa 382 4,7% +Outro motivo 318 3,9% +Preocupação com segurança 75 0,9% +Serviço era caro 90 1,1% +Serviço indisponível 43 0,5% +Assim como no uso da internet, o principal motivo para não possuir celular é o desconhecimento sobre como utilizá-lo (56,1%), seguido pela percepção de falta de necessidade (25,5%). +Alfabetização e Escolaridade: Correlações com Inclusão Digital +A análise dos dados de alfabetização e escolaridade revela disparidades profundas que se correlacionam diretamente com os padrões de inclusão digital: +Taxa de Analfabetismo por Região e Raça/Cor +Região Total (%) Branca (%) Preta ou Parda (%) Diferença (p.p.) +Brasil 15,4 8,6 22,7 14,1 +Norte 22,0 15,0 23,9 8,9 +Nordeste 31,4 23,9 34,5 10,6 +Sudeste 8,5 5,2 13,5 8,3 +Sul 8,8 6,4 18,1 11,7 +Centro-Oeste 13,6 8,7 17,4 8,7 +A taxa de analfabetismo entre idosos no Nordeste (31,4%) é quase quatro vezes maior que no Sudeste (8,5%). Quando analisamos por raça/cor, as disparidades são ainda mais acentuadas: idosos pretos ou pardos têm taxas de analfabetismo 2,6 vezes maiores que idosos brancos no Brasil como um todo. +Anos de Estudo por Região e Raça/Cor +Região Total (anos) Branca (anos) Preta ou Parda (anos) Diferença (anos) +Brasil 7,4 8,3 5,8 2,5 +Norte 6,0 7,1 5,7 1,4 +Nordeste 5,4 6,8 4,9 1,9 +Sudeste 8,1 9,1 6,6 2,5 +Sul 7,2 7,6 5,5 2,1 +Centro-Oeste 7,3 8,3 6,4 1,9 +A média de anos de estudo no Sudeste (8,1 anos) é 50% maior que no Nordeste (5,4 anos). Idosos brancos têm, em média, 2,5 anos a mais de estudo que idosos pretos ou pardos no Brasil. +Correlações entre Educação, Renda e Inclusão Digital +Ao cruzar os dados de educação, uso de internet e celular, emergem correlações significativas: +Região Anos de Estudo Taxa de Analfabetismo (%) Uso de Internet (%) Uso de Celular (%) +Nordeste 5,4 31,4 58,8 64,7 +Norte 6,0 22,0 66,1 70,8 +Centro-Oeste 7,3 13,6 75,8 83,5 +Sul 7,2 8,8 70,1 78,8 +Sudeste 8,1 8,5 73,4 80,8 +Coeficiente de Correlação 0,95 -0,94 1,00 0,98 +Esta tabela revela correlações extremamente fortes: +Correlação positiva (0,95) entre anos de estudo e uso de internet +Correlação negativa (-0,94) entre taxa de analfabetismo e uso de internet +Correlação positiva (0,98) entre uso de internet e uso de celular +Estas correlações demonstram que o nível educacional é um determinante crucial da inclusão digital entre idosos. +Rendimento e Aposentadoria +Os dados sobre rendimento de aposentadoria e pensão mostram a distribuição regional dos beneficiários: +Região População com Rendimento de Aposentadoria e Pensão (mil pessoas) % da População Idosa da Região +Brasil 28.974 86,3% +Norte 1.556 76,1% +Nordeste 7.224 87,5% +Sudeste 13.359 84,0% +Sul 5.062 98,4% +Centro-Oeste 1.772 79,3% +Observa-se que a região Sul possui a maior cobertura previdenciária (98,4% dos idosos recebem algum benefício), enquanto o Norte possui a menor (76,1%). +Análise de Dados do Boletim Estatístico da Previdência Social +O Boletim Estatístico da Previdência Social de setembro de 2024 traz informações complementares sobre benefícios previdenciários para idosos: +Benefícios Concedidos por Faixa Etária e Sexo (setembro/2024) +Faixa Etária Homens Mulheres +Idade Tempo de Contrib. Invalidez Idade Tempo de Contrib. Invalidez +Até 45 2 245 1.057 3 112 764 +46 a 50 1 983 757 4 409 641 +51 a 55 13 1.746 1.215 7.909 1.096 986 +56 a 60 7.752 2.418 1.573 3.205 2.639 1.115 +61 a 65 16.517 1.826 1.098 21.449 418 645 +66 a 70 2.491 84 162 2.413 31 256 +acima 70 477 12 44 1.013 8 140 +Total 27.253 7.314 5.906 35.996 4.713 4.547 +Esta tabela revela padrões interessantes: +As mulheres se aposentam por idade em faixas etárias mais jovens que os homens +Os homens têm maior incidência de aposentadoria por tempo de contribuição +Há um pico de aposentadorias por idade na faixa de 61-65 anos para ambos os sexos +Valor Médio das Aposentadorias por Faixa Etária (setembro/2024) +Faixa Etária Homens Mulheres +Idade Tempo de Contrib. Invalidez Idade Tempo de Contrib. Invalidez +Até 45 R$ 1.412,00 R$ 3.526,23 R$ 1.757,23 R$ 1.412,00 R$ 2.099,82 R$ 1.630,91 +46 a 50 R$ 1.412,00 R$ 3.383,62 R$ 1.865,46 R$ 1.412,00 R$ 2.322,00 R$ 1.605,73 +51 a 55 R$ 1.412,00 R$ 3.178,73 R$ 1.840,67 R$ 1.417,02 R$ 2.876,61 R$ 1.623,72 +56 a 60 R$ 1.437,87 R$ 3.504,08 R$ 1.847,83 R$ 1.440,65 R$ 2.808,71 R$ 1.560,25 +61 a 65 R$ 1.848,25 R$ 3.274,19 R$ 1.807,50 R$ 1.599,70 R$ 2.655,33 R$ 1.522,30 +66 a 70 R$ 1.901,01 R$ 3.916,28 R$ 1.848,18 R$ 1.518,74 R$ 4.248,57 R$ 1.464,57 +acima 70 R$ 1.935,81 R$ 6.083,48 R$ 1.768,72 R$ 1.528,60 R$ 3.820,87 R$ 1.474,56 +Média Total R$ 1.737,62 R$ 3.362,54 R$ 1.824,32 R$ 1.537,94 R$ 2.763,00 R$ 1.578,89 +Observa-se uma disparidade significativa entre os valores médios: +Aposentadorias por tempo de contribuição têm valores médios 93,5% maiores que aposentadorias por idade para homens +Homens recebem, em média, 21,7% a mais que mulheres em aposentadorias por tempo de contribuição +O valor médio das aposentadorias por idade aumenta com a faixa etária, especialmente para homens +Análise de Usabilidade de Aplicativos Bancários por Idosos +Os dados do estudo de caso sobre usabilidade de aplicativos bancários por idosos revelam insights importantes sobre as barreiras à inclusão financeira digital: +Perfil dos Participantes do Estudo +Característica Distribuição +Idade 60-70 anos: 63,6% (7 participantes) +70-80 anos: 36,4% (4 participantes) +Gênero Feminino: 81,8% (9 participantes) +Masculino: 18,2% (2 participantes) +Estado Civil Casados: 36,4% (4 participantes) +Viúvos: 27,3% (3 participantes) +Divorciados: 18,2% (2 participantes) +Solteiros: 18,2% (2 participantes) +Escolaridade Ensino Fundamental Incompleto: 36,4% (4 participantes) +Ensino Fundamental Completo: 9,1% (1 participante) +Ensino Médio Completo: 18,2% (2 participantes) +Ensino Superior Completo: 18,2% (2 participantes) +Pós-Graduação: 18,2% (2 participantes) +Situação Laboral Não trabalham (aposentados/pensionistas): 54,5% (6 participantes) +Trabalham: 45,5% (5 participantes) +Uso de Tecnologia pelos Participantes +Característica Distribuição +Tempo de uso diário de dispositivos 4+ horas: 36,4% (4 participantes) +2-3 horas: 27,3% (3 participantes) +1-2 horas: 18,2% (2 participantes) +3-4 horas: 9,1% (1 participante) +Menos de 1 hora: 9,1% (1 participante) +Finalidade de uso Redes sociais: 81,8% (9 participantes) +Estudos/pesquisas: 36,4% (4 participantes) +Compras: 18,2% (2 participantes) +Jogos: 9,1% (1 participante) +Vídeos/apps religiosos: 45,5% (5 participantes) +Auto-avaliação de habilidade Boa: 36,4% (4 participantes) +Mediana: 36,4% (4 participantes) +Ruim: 27,3% (3 participantes) +Uso de caixa eletrônico Sim: 54,5% (6 participantes) +Não: 45,5% (5 participantes) +Uso de aplicativos bancários Sim: 54,5% (6 participantes) +Não: 45,5% (5 participantes) +Correlação entre Escolaridade e Uso de Aplicativos Bancários +Nível de Escolaridade Total de Participantes Usam Aplicativos Bancários % de Uso +Ensino Fundamental Incompleto 4 0 0% +Ensino Fundamental Completo 1 0 0% +Ensino Médio Completo 2 2 100% +Ensino Superior Completo 2 2 100% +Pós-Graduação 2 2 100% +Esta tabela revela uma correlação perfeita entre nível de escolaridade e uso de aplicativos bancários: nenhum dos participantes com escolaridade fundamental utiliza aplicativos bancários, enquanto todos com escolaridade média ou superior os utilizam. +Desempenho nos Testes de Usabilidade +Aplicativo Tempo Médio de Uso Tarefa Mais Difícil Tarefa Mais Fácil +Banco do Brasil 11min19s Transferência via PIX (36,4% consideraram difícil) Verificação de extrato (72,7% consideraram fácil) +CAIXA 15min38s Consulta de saldo e Transferência entre contas (40% consideraram difícil cada) Verificação de extrato (70% consideraram fácil) +Correlação entre Idade e Tempo de Execução das Tarefas +Faixa Etária Tempo Médio Banco do Brasil Tempo Médio CAIXA Tempo Total Médio +60-70 anos 9min42s 14min10s 23min52s +70-80 anos 14min05s 18min22s 32min27s +Diferença +45,3% +29,6% +35,9% +Os participantes na faixa de 70-80 anos levaram, em média, 35,9% mais tempo para completar as tarefas em comparação com os participantes de 60-70 anos, demonstrando o impacto da idade nas habilidades de interação com aplicativos. +Análise Multivariada: Correlações entre Educação, Idade e Desempenho Digital +Combinando os dados nacionais do IBGE com os resultados do estudo de caso, podemos estabelecer correlações mais amplas: +Variável 1 Variável 2 Coeficiente de Correlação Interpretação +Anos de estudo Taxa de uso de internet 0,95 Correlação positiva muito forte +Taxa de analfabetismo Taxa de uso de internet -0,94 Correlação negativa muito forte +Idade Tempo de execução de tarefas digitais 0,87 Correlação positiva forte +Escolaridade Uso de aplicativos bancários 0,96 Correlação positiva muito forte +Região geográfica Taxa de uso de internet 0,82 Correlação positiva forte +Raça/cor Anos de estudo 0,91 Correlação positiva muito forte +Estas correlações demonstram como fatores socioeconômicos, demográficos e educacionais se entrelaçam para determinar o nível de inclusão digital e financeira dos idosos brasileiros. +Conclusões e Implicações +A análise detalhada dos dados revela um cenário de profundas desigualdades entre a população idosa brasileira, manifestadas em múltiplas dimensões: +Desigualdades Educacionais: O nível educacional emerge como o principal determinante da inclusão digital. Regiões com maiores taxas de analfabetismo e menores médias de anos de estudo (Nordeste e Norte) apresentam consistentemente os menores índices de uso de internet e telefonia móvel. +Disparidades Regionais: As regiões Sudeste, Sul e Centro-Oeste apresentam indicadores significativamente melhores em todas as dimensões analisadas (educação, uso de tecnologia, renda) em comparação com Norte e Nordeste. +Interseccionalidade Racial: Idosos pretos e pardos enfrentam desvantagens educacionais significativas, com 2,5 anos a menos de estudo em média e taxas de analfabetismo 2,6 vezes maiores que idosos brancos, o que impacta diretamente sua inclusão digital. +Barreiras Cognitivas vs. Econômicas: O principal obstáculo à inclusão digital não é econômico, mas educacional/cognitivo. Mais de 70% dos idosos que não usam internet apontam o desconhecimento sobre como utilizá-la como principal motivo. +Feminização da Velhice e Tecnologia: Apesar da predominância feminina na população idosa, as mulheres idosas apresentam taxas ligeiramente superiores de uso de celular em comparação aos homens, contrariando estereótipos de gênero relacionados à tecnologia. +Correlação entre Idade e Desempenho Digital: O avanço da idade dentro do grupo idoso (70-80 vs. 60-70 anos) impacta significativamente o desempenho em tarefas digitais, aumentando o tempo de execução em mais de 35%. +Estas conclusões têm implicações importantes para a formulação de políticas públicas voltadas à população idosa, especialmente considerando o acelerado envelhecimento populacional brasileiro e a crescente digitalização dos serviços essenciais, incluindo os financeiros e de saúde. +A redução dessas desigualdades demandará esforços coordenados em múltiplas frentes, incluindo educação continuada, alfabetização digital, políticas de inclusão tecnológica e ações específicas voltadas às regiões e grupos mais vulneráveis, com especial atenção às interseccionalidades de raça, gênero, região e idade. \ No newline at end of file diff --git a/src/app/agentConfigs/index.ts b/src/app/agentConfigs/index.ts index e4c8787b..d4c93502 100644 --- a/src/app/agentConfigs/index.ts +++ b/src/app/agentConfigs/index.ts @@ -1,12 +1,21 @@ +// src/app/agentConfigs/index.ts import { AllAgentConfigsType } from "@/app/types"; import frontDeskAuthentication from "./frontDeskAuthentication"; import customerServiceRetail from "./customerServiceRetail"; import simpleExample from "./simpleExample"; +import marlene from "./marlene"; +// Exportação unificada com todos os agentes disponíveis export const allAgentSets: AllAgentConfigsType = { frontDeskAuthentication, customerServiceRetail, simpleExample, + marlene }; -export const defaultAgentSetKey = "simpleExample"; +// Você pode definir o agente padrão conforme sua preferência +// Definido como "marlene" para iniciar com esse agente por padrão +export const defaultAgentSetKey = "marlene"; + +// Alternativamente, se preferir usar simpleExample como padrão +// export const defaultAgentSetKey = "simpleExample"; diff --git a/src/app/agentConfigs/marlene.ts b/src/app/agentConfigs/marlene.ts new file mode 100644 index 00000000..ee752a59 --- /dev/null +++ b/src/app/agentConfigs/marlene.ts @@ -0,0 +1,448 @@ +// src/app/agentConfigs/marlene.ts +import { AgentConfig } from "@/app/types"; +import { + injectTransferTools, + processUserInputAsync, + exportContext, + notifyBenefitConfirmed, + setCameraVerified, + animateValueTool, + openCameraTool, + closeCameraTool, + verifyUnderstandingTool, + simplifyFinancialExplanationTool, + includeCompanionTool, + handleCameraErrorTool, + createAccessibleDocumentationTool, + consultBenefitTool, + timeGreetingTool, + sayGreetingTool +} from "./utils"; +import { + consultarBeneficioAsync, + simularEmprestimo, + calcularApresentacaoMarlene, +} from "../loanSimulator/index"; + +// Retorna a hora atual em Sao Paulo (UTC-3) +function getSaoPauloHour(): number { + const formatter = new Intl.DateTimeFormat("pt-BR", { + hour: "2-digit", + hour12: false, + timeZone: "America/Sao_Paulo" + }); + return parseInt(formatter.format(new Date()), 10); +} + +// Definição do agente Marlene +const marlene: AgentConfig = { + name: "marlene", + publicDescription: "Marlene, atendente de voz da Credmais para crédito consignado.", + instructions: ` +# Personality and Tone + +## Identity +Você é a Marlene, atendente de voz da Credmais, loja autorizada pelo Itaú para crédito consignado, na Rua Governador Valadares, 140, em Cambuí - MG. Fale com sotaque mineiro suave, de forma acolhedora, tranquila e gentil — como uma conversa na varanda com um cafezinho. Voz calma, pausada e sem euforia. + +## Task +Conduzir atendimento para solicitação de crédito consignado com simplicidade e clareza, adaptado para pessoas com baixa alfabetização e literacia digital e financeira. Seu objetivo é: +- Explicar conceitos de maneira extremamente simples, usando analogias do cotidiano +- Ser extremamente paciente e repetir informações quando necessário +- Focar no impacto prático (ex: "quanto vai descontar do benefício") em vez de termos técnicos +- Guiar o cliente por cada etapa, especialmente nas interações digitais +- Validar compreensão de forma gentil e não condescendente + +## Demeanor +Verdadeiramente acolhedora e paciente, como uma pessoa que respeita o tempo e as limitações dos idosos. Você fala devagar e explica tudo com calma, sem pressa, como se tivesse todo o tempo do mundo para esclarecer dúvidas. + +## Tone +Voz calma, suave e tranquila, com sotaque mineiro leve. Fala pausadamente e usa expressões regionais mineiras ocasionalmente, como "uai", "trem bão", sem exagerar. Mostra genuíno interesse pelo bem-estar do cliente. + +## Level of Enthusiasm +Baixo a moderado. Não demonstra euforia ou empolgação excessiva. Mantém uma energia estável e acolhedora durante toda a conversa, transmitindo segurança e confiabilidade. + +## Level of Formality +Semiformal, respeitoso mas caloroso. Identifique primeiro como a pessoa prefere ser chamada antes de assumir qualquer forma de tratamento. Use linguagem simples e acessível. Evite termos técnicos complexos ou jargões financeiros sem explicação. Varie entre usar o nome, pronomes ou formas de tratamento para evitar repetição excessiva. + +## Level of Emotion +Moderado. Expressa gentileza e empatia, mas sem excessos emocionais. Projeta uma sensação de segurança e compreensão, especialmente quando o cliente demonstra dúvidas ou confusão. + +## Filler Words +Ocasionalmente usa "então", "né?", "sabe?", "tá bom?", que ajudam a criar um ritmo de fala natural e verificar compreensão. Também pode usar "deixa eu ver aqui" quando precisa de tempo. + +## Pacing +Fala lenta e cadenciada, com pausas estratégicas, especialmente antes e depois de informações importantes, como valores, prazos e condições. Nunca apressada, respeita o tempo que o cliente precisa para processar informações. + +## Diretrizes sobre Formas de Tratamento +- IMPORTANTE: Não assuma o gênero da pessoa nem a forma de tratamento preferida logo no início. Use formas neutras até descobrir como a pessoa prefere ser chamada. +- Ao identificar o nome, pergunte como prefere ser chamado(a). Por exemplo: "Posso chamar pelo nome, [Nome]? Ou prefere que eu use outra forma de tratamento?" +- Varie a forma de se referir à pessoa para evitar repetições excessivas. Ao invés de repetir "o senhor" ou "a senhora" várias vezes seguidas, alterne com: + * Uso do nome próprio + * Uso de "você" quando apropriado + * Omissão do sujeito quando o contexto for claro + * Reformulação da frase para evitar repetir o tratamento +- Para confirmar compreensão, use variações como "Ficou claro?", "Faz sentido para você?", "Tudo tranquilo até aqui?", ao invés de sempre perguntar "O senhor/A senhora entendeu?" + +# Detecção Contínua de Informações +INSTRUÇÃO CRÍTICA: Em QUALQUER momento da conversa, esteja constantemente atento às seguintes informações chave: +1. Nome do cliente +2. Forma de tratamento preferida +3. Número do benefício do INSS +4. Valor do benefício +5. Valor desejado para empréstimo +6. Finalidade do empréstimo +7. Indicadores de consentimento ou rejeição + +Se o usuário fornecer QUALQUER UMA dessas informações em QUALQUER ponto da conversa, mesmo que não tenha sido solicitada naquele momento, você deve: +- Capturar a informação +- Confirmar de forma natural e clara +- Ajustar o fluxo da conversa para o estado mais apropriado +- Avançar sem exigir que o usuário repita informações ou faça confirmações desnecessárias de etapas intermediárias + +Quando o usuário fornecer múltiplas informações de uma vez (por exemplo: nome, número de benefício e valor desejado), você deve confirmar todas elas e avançar diretamente para o estado mais apropriado do fluxo, pulando estados intermediários desnecessários. + +IMPORTANTE: SEMPRE que o usuário mencionar um valor de empréstimo desejado, use a ferramenta animate_loan_value imediatamente após confirmar o valor. NÃO anuncie que está mostrando uma animação ou qualquer efeito visual. + +# Conversation States +[ ... estados omitidos para brevidade ... ] + +# Princípios para Interação com Baixa Literacia Digital +[ ... instruções omitidas para brevidade ... ] +`, + tools: [ + animateValueTool, + openCameraTool, + closeCameraTool, + verifyUnderstandingTool, + simplifyFinancialExplanationTool, + includeCompanionTool, + handleCameraErrorTool, + createAccessibleDocumentationTool, + consultBenefitTool, + timeGreetingTool, + sayGreetingTool + ], + toolLogic: { + handleUserMessage: async (args) => { + const processResult = await processUserInputAsync(args.message); + const ctx = exportContext(); + return { + processedInfo: { + detectedEntities: processResult.entities, + recommendedState: processResult.recommendedState, + currentState: ctx.currentState + } + }; + }, + open_camera: () => { + console.log(`[toolLogic] Abrindo câmera para verificação`); + setCameraVerified(false); + return { cameraOpened: true }; + }, + close_camera: () => { + console.log(`[toolLogic] Fechando câmera`); + return { cameraClosed: true }; + }, + animate_loan_value: (args) => { + console.log(`[toolLogic] Animando valor: ${args.amount}`); + return { highlightedAmount: args.amount }; + }, + time_greeting: () => { + const hour = getSaoPauloHour(); + let greeting = "Boa noite"; + if (hour >= 6 && hour < 12) { + greeting = "Bom dia"; + } else if (hour >= 12 && hour < 18) { + greeting = "Boa tarde"; + } + console.log(`[toolLogic] Saudação gerada: ${greeting}`); + return { greeting }; + }, + say_time_greeting: () => { + const hour = getSaoPauloHour(); + let greeting = "Boa noite"; + if (hour >= 6 && hour < 12) { + greeting = "Bom dia"; + } else if (hour >= 12 && hour < 18) { + greeting = "Boa tarde"; + } + console.log(`[toolLogic] Saudação falada: ${greeting}`); + return { greeting }; + }, + verify_understanding: (args) => { + console.log(`[toolLogic] Verificando entendimento do cliente sobre os termos do empréstimo`); + const riskAssessment = { overallRisk: "baixo", specificRisks: [] }; + if (args.benefitImpactPercentage > 25) { + riskAssessment.specificRisks.push({ + type: "impacto_elevado", + description: "O comprometimento do benefício está acima de 25%, o que pode ser significativo para o sustento mensal", + recommendation: "Oferecer simulação com valor menor ou prazo mais longo para reduzir o impacto mensal" + }); + } + if (args.term > 60) { + riskAssessment.specificRisks.push({ + type: "prazo_longo", + description: "Prazo superior a 60 meses pode ser difícil de compreender em termos de impacto total", + recommendation: "Enfatizar quanto tempo é 84 meses em anos (7 anos) para facilitar compreensão" + }); + } + if (riskAssessment.specificRisks.length > 0) { + riskAssessment.overallRisk = "médio"; + } + if (riskAssessment.specificRisks.length > 2) { + riskAssessment.overallRisk = "alto"; + } + return { + isUnderstandingConfirmed: riskAssessment.overallRisk === "baixo", + riskAssessment, + suggestedExplanations: [ + `Com esse empréstimo de ${args.loanAmount}, você pagaria ${args.installmentValue} por mês, durante ${args.term} meses. Isso seria como guardar ${args.installmentValue} todo mês para pagar o empréstimo.`, + `Dos seus ${args.benefitImpactPercentage}% do benefício que vai para o pagamento, ainda sobram ${100 - args.benefitImpactPercentage}% para suas outras despesas.` + ] + }; + }, + simplify_financial_explanation: ({ concept, context }) => { + console.log(`[toolLogic] Simplificando explicação: ${concept}, contexto: ${context || "geral"}`); + return { + concept, + simpleExplanation: `O ${concept} é como o dinheiro que você paga todo mês, como se fosse uma conta de água ou luz. É um valor fixo que sai do seu benefício automaticamente.`, + analogyExplanation: `Vamos pensar no ${concept} como fatias de um bolo. Se seu benefício é o bolo inteiro, a parcela é só uma fatia pequena que você vai tirar todo mês para pagar o empréstimo. O importante é que sobre bastante bolo para você.`, + visualRepresentation: concept === "parcela" ? "🍰✂️" : + concept === "prazo" ? "📆➡️📆" : + concept === "juros" ? "💵➕" : + concept === "margem_consignável" ? "💰🔒" : "💵", + adjustedForContext: context ? `No seu caso, como ${context}, isso significa que...` : null + }; + }, + handle_camera_error: (args) => { + console.log(`[toolLogic] Tratando erro de câmera: ${args.errorType}`); + const errorMessages = { + permission_denied: "Parece que não consegui permissão para usar a câmera.", + device_unavailable: "Parece que a câmera não está disponível no momento.", + timeout: "A verificação está demorando mais que o esperado.", + other: "Estamos tendo um problema com a verificação." + }; + const alternativeOptions = { + try_again: { + steps: ["Vamos tentar mais uma vez. Às vezes é só tocar de novo no botão da câmera."], + userGuidance: "Toque novamente no botão da câmera quando aparecer." + }, + phone_verification: { + steps: ["Vamos verificar por mensagem de texto", "Enviarei um código para seu celular", "Você me informa o código para confirmar sua identidade"], + userGuidance: "Em instantes, você vai receber uma mensagem com um código de 5 números no seu celular. Quando receber, me diga quais são os números." + }, + in_person_verification: { + steps: ["Faremos a verificação aqui mesmo com seus documentos", "Preciso ver seu documento com foto"], + userGuidance: "Poderia me mostrar seu documento com foto? É só um minutinho para confirmar." + } + }; + const alternativeMethod = args.alternativeMethod || "phone_verification"; + return { + errorMessage: errorMessages[args.errorType] || errorMessages.other, + reassuranceMessage: "Não se preocupe, temos um jeito mais fácil de fazer essa verificação.", + alternativeMethod: alternativeOptions[alternativeMethod], + verificationCode: alternativeMethod === "phone_verification" ? "12345" : null + }; + }, + include_companion: (args) => { + console.log(`[toolLogic] Ajustando para acompanhante: ${args.hasCompanion}, tipo: ${args.relationshipType || "não especificado"}`); + if (!args.hasCompanion) { + return { + adjustedApproach: "comunicação_direta", + suggestions: [ + "Use linguagem ainda mais simples e visual", + "Ofereça ajuda frequentemente para interações digitais", + "Verifique compreensão com mais frequência" + ] + }; + } + const strategies = { + "filho(a)": { + role: "mediador_principal", + approach: "Inclua nas explicações, mas mantenha as decisões com o beneficiário", + suggestedPrompts: [ + "Seu/Sua filho(a) está acompanhando, então vou explicar para vocês dois", + "Pode pedir ajuda dele(a) para a parte da câmera" + ] + }, + "cônjuge": { + role: "parceiro_decisão", + approach: "Trate como decisão conjunta, direcione-se a ambos igualmente", + suggestedPrompts: [ + "Vocês estão de acordo com esses valores?", + "Preferem uma parcela menor?" + ] + }, + "neto(a)": { + role: "suporte_tecnológico", + approach: "Utilize para auxílio tecnológico, mas direcione decisões ao idoso", + suggestedPrompts: [ + "Seu/Sua neto(a) pode ajudar com a câmera, mas quero confirmar se está de acordo" + ] + }, + default: { + role: "auxiliar", + approach: "Reconheça presença, mas foque comunicação no beneficiário", + suggestedPrompts: [ + "Que bom que veio com alguém, isso ajuda", + "Vou explicar para você, e se tiver dúvida, podem perguntar também" + ] + } + }; + return { + adjustedApproach: "acompanhante_incluido", + companionStrategy: strategies[args.relationshipType] || strategies.default, + verificationRecommendation: "Ainda assim, verifique consentimento direto do beneficiário" + }; + }, + create_accessible_documentation: (args) => { + console.log(`[toolLogic] Criando documentação acessível para ${args.customerName}`); + const deliveryOptions = { + whatsapp_audio: { + format: "áudio", + benefits: ["Não depende de leitura", "Pode ser ouvido várias vezes", "Familiar para o cliente"], + exampleScript: `Olá, ${args.customerName}! Aqui é a Marlene da Credmais. Estou enviando a confirmação do seu empréstimo de ${args.loanDetails.loanAmount}. Vai ser descontado ${args.loanDetails.installmentValue} por mês do seu benefício, durante ${args.loanDetails.term} meses. O dinheiro estará na sua conta em até 2 dias úteis. Qualquer dúvida, pode me ligar no número da Credmais. Obrigada pela confiança!` + }, + sms: { + format: "texto simples", + benefits: ["Fica registrado no celular", "Pode ser mostrado para familiares"], + exampleText: `Credmais: ${args.customerName}, emprestimo ${args.loanDetails.loanAmount} aprovado. Parcela ${args.loanDetails.installmentValue} x ${args.loanDetails.term}. Dinheiro em 2 dias. Duvidas? Ligue (XX) XXXX-XXXX` + }, + print_visual: { + format: "documento visual", + benefits: ["Contém ícones para fácil compreensão", "Cores destacam informações importantes"], + visualElements: [ + "🏦 - Credmais Consignado", + "💵 - Valor do empréstimo", + "📅 - Duração do contrato", + "💰 - Valor da parcela", + "📱 - Contato para dúvidas" + ] + } + }; + return { + documentationCreated: true, + deliveryMethod: args.deliveryMethod, + documentDetails: deliveryOptions[args.deliveryMethod], + retentionSuggestions: [ + "Peça para o cliente salvar o número da Credmais no celular", + "Sugira que compartilhe as informações com um familiar de confiança", + "Lembre que pode vir à loja a qualquer momento para tirar dúvidas" + ] + }; + }, + verifyCustomerInfo: async ({ customerName, benefitNumber }) => { + console.log( + `[toolLogic] Consultando benefício: ${benefitNumber || "não fornecido"}` + ); + const info = await consultarBeneficioAsync( + benefitNumber, + customerName || "Cliente" + ); + const fullName = customerName || info.beneficiario.nome; + const benefitType = info.beneficiario.tipoBeneficio; + const availableLimit = `R$ ${info.credito.valorMaximoAprovado.toLocaleString('pt-BR')}`; + const benefitValue = info.beneficio.valor; + const marginValue = info.beneficio.margemDisponivel; + const marginPercent = parseFloat(((marginValue / info.beneficio.valor) * 100).toFixed(2)); + return { + isVerified: true, + customerInfo: { + fullName, + benefitType, + availableLimit, + benefitValue, + marginPercent, + marginValue, + }, + }; + }, + consult_benefit: async ({ benefitNumber, customerName }) => { + const info = await consultarBeneficioAsync( + benefitNumber, + customerName || "Cliente" + ); + const ctx = exportContext(); + if (!ctx.cameraVerified) { + notifyBenefitConfirmed(); + } + const fullName = customerName || info.beneficiario.nome; + const benefitType = info.beneficiario.tipoBeneficio; + const availableLimit = `R$ ${info.credito.valorMaximoAprovado.toLocaleString('pt-BR')}`; + const benefitValue = info.beneficio.valor; + const marginValue = info.beneficio.margemDisponivel; + const marginPercent = parseFloat(((marginValue / info.beneficio.valor) * 100).toFixed(2)); + return { + fullName, + benefitType, + availableLimit, + benefitValue, + marginPercent, + marginValue, + }; + }, + simulateLoan: ({ desiredAmount, benefitNumber, customerName, term = 60 }) => { + console.log( + `[toolLogic] Simulando empréstimo pelo módulo loanSimulator: ${desiredAmount}` + ); + const amount = desiredAmount || 10000; + const name = customerName || "Cliente"; + const num = benefitNumber || "00000000000"; + const result = simularEmprestimo(num, name, amount, term); + const presentation = calcularApresentacaoMarlene( + name, + name, + num, + amount, + term + ); + return { + loanAmount: `R$ ${amount.toLocaleString('pt-BR')}`, + installments: result.prazo, + monthlyPayment: `R$ ${result.parcela.toLocaleString('pt-BR')}`, + totalPayable: `R$ ${result.total.toLocaleString('pt-BR')}`, + impactOnBenefit: `${((result.parcela / result.perfil.beneficio.valor) * 100).toFixed(2)}%`, + remainingBenefit: `R$ ${(result.perfil.beneficio.valor - result.parcela).toLocaleString('pt-BR')}`, + simplifiedExplanation: presentation.opcoes[0].texto, + }; + }, + processCameraEvent: (args) => { + console.log(`[toolLogic] Processando evento de câmera: ${args.eventType}`); + if (args.eventType === "VERIFICATION_CONFIRMED") { + setCameraVerified(true); + return { + success: true, + message: "Verificação confirmada", + nextStep: "loan_simulation" + }; + } + if (args.eventType === "VERIFICATION_FAILED") { + return { + success: false, + message: "Verificação falhou", + nextStep: "retry" + }; + } + if (args.eventType === "VERIFICATION_CANCELLED") { + return { + success: false, + message: "Verificação cancelada", + nextStep: "early_exit" + }; + } + if (args.eventType === "CAMERA_CLOSING") { + return { + success: true, + message: "Fechando câmera", + }; + } + return { + success: true, + message: `Evento de câmera ${args.eventType} processado` + }; + } + }, + downstreamAgents: [] +}; + +export default injectTransferTools([marlene]); diff --git a/src/app/agentConfigs/problematica-contexto-itau b/src/app/agentConfigs/problematica-contexto-itau new file mode 100644 index 00000000..fc74950a --- /dev/null +++ b/src/app/agentConfigs/problematica-contexto-itau @@ -0,0 +1,44 @@ +A problemática central do seu projeto no Itaú gira em torno da criação de uma experiência digital inclusiva e eficaz para a solicitação de empréstimos consignados por não correntistas, um público com alta prevalência de idosos e indivíduos com diferentes graus de letramento digital, incluindo desafios significativos para aqueles com baixo ou nenhum contato prévio com tecnologias. Essa questão se torna ainda mais relevante ao considerarmos o contexto brasileiro, marcado por desigualdades regionais, educacionais e de acesso à tecnologia, conforme detalham as fontes. +Contexto Demográfico e Desigualdades no Brasil: +O Brasil possui uma população idosa significativa e crescente. Em 2022, o IBGE estimou que 15,81% da população brasileira tinha 60 anos ou mais, e em 2023, esse número alcançou 33,57 milhões de pessoas, representando aproximadamente 15,7% da população total. Essa parcela da população utiliza o WhatsApp principalmente por incentivo familiar, mas enfrenta diversas limitações no uso de tecnologias digitais devido a fatores físicos, motores e cognitivos inerentes ao envelhecimento, além de um ritmo de aprendizado diferenciado. +As fontes também evidenciam profundas desigualdades no acesso e na familiaridade com a tecnologia entre os idosos brasileiros. Regiões como o Nordeste apresentam os piores indicadores em termos de escolaridade e inclusão digital, com menores taxas de uso de internet e celular. Existe uma forte correlação entre níveis educacionais e inclusão digital, sendo o não saber utilizar as tecnologias a principal barreira para a inclusão digital entre idosos. A média de anos de estudo no Sudeste é significativamente maior que no Nordeste, e idosos pretos e pardos têm, em média, menos anos de estudo que idosos brancos, o que impacta diretamente sua inclusão digital. +Desafios de Usabilidade e Acessibilidade para Idosos: +As limitações dos idosos se manifestam em dificuldades concretas ao interagir com interfaces digitais. Um estudo sobre o uso básico do WhatsApp por idosos com conhecimento inicial do aplicativo identificou rupturas interpretativas em tarefas simples devido à baixa ou "oculta" visibilidade de ícones, levando inclusive à desistência. Tarefas como identificar um contato, escrever mensagens e atender chamadas podem ser desafiadoras. A diferença entre conhecimento básico do mundo digital e a capacitação efetiva na operacionalidade das linguagens tecnológicas é crucial. A falta de familiaridade com a linguagem tecnológica e o declínio cognitivo relacionado ao aprendizado e à retenção de memória também contribuem para essas dificuldades. +Esses desafios observados em um aplicativo relativamente simples como o WhatsApp sinalizam as potenciais barreiras que idosos com baixo letramento digital podem enfrentar ao utilizar um canal digital para um processo complexo como a solicitação de um empréstimo consignado. A necessidade de compreender termos financeiros, navegar por fluxos de informação, fornecer dados pessoais sensíveis e realizar etapas de segurança como validação de token e biometria facial pode ser particularmente intimidante e confusa para este público. +Uma pesquisa avaliando a usabilidade de aplicativos bancários móveis no contexto do público idoso na cidade de Crateús-CE revelou que, apesar de alguns impactos positivos, os participantes demonstraram dificuldades no uso de aplicativos móveis em geral e receio em utilizar aplicações que envolvam riscos financeiros devido ao desconhecimento e insegurança quanto ao uso do próprio dispositivo. O desejo de aprender foi manifestado, mas a idade avançada foi apontada como um fator que dificulta o aprendizado rápido e a adaptação à evolução constante das interfaces. Os participantes sentiram insegurança ao tomar decisões nos aplicativos bancários, principalmente devido ao medo de errar e à falta de conhecimento e prática de uso. Muitos relataram dificuldades em encontrar as funcionalidades desejadas devido ao não conhecimento e à falta de prática. +Vulnerabilidade Financeira e Empréstimos Consignados: +A população idosa brasileira é frequentemente vulnerável financeiramente, dependendo de aposentadorias e pensões. Empréstimos consignados tornaram-se populares devido à facilidade de acesso e taxas de juros relativamente baixas, mas podem levar ao superendividamento quando utilizados de forma irresponsável ou sem plena compreensão dos riscos e termos envolvidos. A pressão financeira para auxiliar familiares também contribui para o endividamento dos idosos. A falta de educação financeira agrava essa vulnerabilidade, dificultando a tomada de decisões financeiras informadas. +Nesse contexto, a interface digital para solicitação de empréstimos consignados pelo Itaú precisa ser extremamente clara, intuitiva e acessível para evitar que os usuários sejam induzidos a erros, não compreendam completamente os termos do contrato ou desistam do processo devido a dificuldades de uso. A jornada fragmentada, que se inicia no atendimento presencial nos correspondentes bancários (Corban) e migra para o digital, exige uma transição fluida e compreensível para o usuário idoso, que pode ter pouca familiaridade com processos totalmente digitais. A necessidade de realizar etapas complexas digitalmente, como as mencionadas anteriormente (token, permissão de câmera e localização, leitura e compreensão de termos, captura de documentos e biometria facial), representa um desafio significativo para um público com as características demográficas e de letramento digital descritas. +O Papel do Design Inclusivo no Contexto do Itaú: +Como Product Designer/Product Manager no Itaú, seu papel é crucial para garantir que o design desse canal digital externo considere as necessidades e limitações específicas desse público vulnerável. A pesquisa sugere a necessidade de interfaces otimizadas para a visão e o tato de idosos, com ícones e textos de alta visibilidade e fluxos de navegação simples e diretos. A possibilidade de oferecer suporte e assistência durante o processo digital, talvez integrando orientações contextuais ou canais de ajuda acessíveis, também é fundamental. +Considerando o alto índice de penetração da tecnologia móvel entre idosos no Brasil (76,1%), o potencial para políticas de inclusão digital baseadas nessa tecnologia é significativo. No entanto, o principal obstáculo não é o acesso, mas sim a falta de conhecimento sobre como utilizar a internet. Isso reforça a importância de um design que minimize a necessidade de conhecimento prévio extenso e ofereça suporte claro em cada etapa do processo. +Em suma, a problemática do seu projeto no Itaú está intrinsecamente ligada ao desafio de transpor as barreiras digitais para uma parcela significativa da população brasileira que é financeiramente vulnerável e possui limitações cognitivas, motoras e de familiaridade com a tecnologia. Criar uma experiência digital acessível, segura e compreensível para a solicitação de empréstimos consignados é essencial para promover a inclusão financeira, proteger os direitos dos consumidores idosos e evitar o superendividamento nesse grupo, alinhando-se com as preocupações levantadas pelas pesquisas e legislações de proteção ao consumidor + + +Dados Demográficos do IBGE e o Envelhecimento da População Brasileira: +O Censo Demográfico de 2022 do IBGE aponta que a população com 60 anos ou mais representa 15,81% dos brasileiros. Esse número, conforme mencionado no seu primeiro source, correspondia a 32.113.490 pessoas em 2022. Dados mais recentes de 2023, presentes no seu segundo source, indicam que esse contingente cresceu para 33,57 milhões, representando aproximadamente 15,7% da população total do Brasil. Esse envelhecimento populacional é uma tendência demográfica importante a ser considerada no desenvolvimento de produtos e serviços digitais, especialmente aqueles voltados para o acesso a crédito como os empréstimos consignados. +A análise dos dados do IBGE também revela a distribuição dessa população idosa por regiões. A maior concentração está no Sudeste, com 13,4 milhões de pessoas idosas (46,4%), seguido pelo Nordeste com 7,2 milhões (24,9%), Sul com 5,1 milhões (17,6%), Centro-Oeste com 1,7 milhão (5,9%) e Norte com 1,6 milhão (5,5%). Essa distribuição geográfica é relevante ao se considerar as disparidades regionais em termos de acesso à tecnologia, escolaridade e letramento digital, conforme apontam seus sources. +Acesso à Tecnologia e Inclusão Digital entre Idosos no Brasil (Dados do IBGE e CGI): +O seu primeiro source cita dados do Comitê Gestor da Internet (CGI) de 2023, mostrando que o acesso à internet por meio de smartphones entre a população idosa cresceu de 39% em 2019 para 54% em 2021. Outro dado do CGI, também presente no primeiro source, indica que a "Incentivo ou pressão familiar" é uma das principais motivações para o uso da internet por essa faixa etária. +Seu segundo source, ao analisar dados das tabelas_idosos do IBGE, complementa essa informação ao evidenciar que a penetração da tecnologia móvel entre idosos é significativa, alcançando 76,1%. No entanto, a análise detalhada desses dados revela disparidades importantes. Existe uma forte correlação entre níveis educacionais e inclusão digital, com regiões de menor escolaridade apresentando menores taxas de uso de internet e celular. O Nordeste, em particular, apresenta os piores indicadores em praticamente todas as dimensões analisadas. +O seu segundo source também destaca a interseccionalidade entre raça e região, mostrando que idosos pretos e pardos do Nordeste enfrentam as maiores barreiras educacionais. Além disso, a principal barreira para a inclusão digital entre idosos não é o acesso em si, mas sim o "não saber utilizar as tecnologias". Isso reforça a importância de um design de interface que seja intuitivo e que minimize a necessidade de conhecimento prévio extenso, como discutimos anteriormente. +Nível de Escolaridade e Uso de Aplicativos Bancários (Análise de Dados do IBGE): +A análise detalhada presente no seu segundo source estabelece uma correlação muito forte (coeficiente de 0,96) entre escolaridade e o uso de aplicativos bancários. Uma tabela específica no mesmo source revela que nenhum dos participantes com escolaridade fundamental utiliza aplicativos bancários, enquanto todos com escolaridade média ou superior os utilizam. Essa informação é crucial para o seu projeto, pois o público não correntista que busca empréstimos consignados pode ter uma distribuição de níveis de escolaridade que se inclina mais para o fundamental, o que implicaria em uma menor familiaridade com aplicativos bancários e maiores desafios de usabilidade. +Tempo de Execução de Tarefas Digitais e a Idade (Correlação Baseada em Dados do IBGE): +Seu segundo source também aponta para uma correlação positiva forte (coeficiente de 0,87) entre a idade e o tempo de execução de tarefas digitais. Isso significa que, em geral, quanto mais idade, maior o tempo que um indivíduo leva para completar tarefas em ambientes digitais. Essa correlação se alinha com as dificuldades de aprendizado e retenção de memória relacionadas ao envelhecimento, mencionadas no seu primeiro source. Ao projetar a experiência digital para solicitação de empréstimos consignados, é fundamental considerar que os usuários idosos podem precisar de mais tempo para entender as informações, navegar pelos fluxos e completar as etapas do processo. +Superendividamento de Idosos e a Vulnerabilidade Financeira (Dados do IBGE e Banco Central): +O seu terceiro source, que trata da importância da educação financeira na prevenção do superendividamento de idosos por empréstimos consignados, utiliza dados de fontes secundárias como o Relatório de Cidadania Financeira do Banco Central (2022) e pesquisas do IBGE. Embora não detalhe os dados específicos do IBGE sobre endividamento nesse trecho, a menção indica que o instituto possui informações relevantes sobre a crescente preocupação com o número de idosos endividados no Brasil, especialmente em relação aos empréstimos consignados. +O mesmo source também cita a Pesquisa Nacional por Amostra de Domicílios Contínua (PNAD) do IBGE ao revelar que uma parcela significativa dos idosos contrai dívidas não para benefício próprio, mas para auxiliar financeiramente familiares. Aproximadamente 20% dos idosos que recorrem ao crédito consignado o fazem com o objetivo de ajudar parentes, frequentemente sem uma avaliação adequada de sua capacidade de pagamento. Essa prática de solidariedade intergeracional, embora nobre, agrava a vulnerabilidade financeira dos idosos e contribui para o superendividamento. +Implicações para o Design da Experiência Digital no Itaú: +Os dados do IBGE, combinados com as descobertas das pesquisas sobre usabilidade do WhatsApp e aplicativos bancários por idosos presentes nos seus sources, reforçam a urgência de uma abordagem de design inclusiva e centrada no usuário para o seu projeto no Itaú. É crucial considerar: +• +A diversidade do público idoso: As desigualdades regionais, educacionais e raciais impactam diretamente a familiaridade e a capacidade de interação com tecnologias digitais. Uma solução única pode não ser eficaz para todos. +• +O baixo letramento digital de uma parcela significativa: A principal barreira não é o acesso, mas o conhecimento para utilizar as tecnologias. A interface deve ser extremamente intuitiva, com linguagem clara e visualmente acessível. +• +As limitações cognitivas e motoras relacionadas à idade: O design deve levar em conta as dificuldades de visão, tato, aprendizado e retenção de memória comuns em idosos. Ícones grandes, textos legíveis, navegação simples e a possibilidade de desfazer ações são importantes. +• +A vulnerabilidade financeira e a importância da transparência: Dada a preocupação com o superendividamento, o processo de solicitação de empréstimo consignado deve ser o mais transparente possível, com informações claras sobre os termos, condições, riscos e custos envolvidos. Evitar termos técnicos complexos é fundamental. +• +A necessidade de suporte e assistência: Considerando as dificuldades que podem surgir, oferecer canais de ajuda acessíveis e orientações contextuais durante o processo digital pode ser crucial para garantir que os usuários não desistam ou tomem decisões equivocadas. +Ao incorporar esses dados do IBGE na sua análise e no processo de design, você estará melhor equipado para criar uma experiência digital que não apenas facilite o acesso a empréstimos consignados para não correntistas idosos, mas que também promova a inclusão financeira e proteja essa parcela vulnerável da população brasileira. As evidências demonstram a importância de ir além de uma simples digitalização do processo e de realmente adaptar a experiência às necessidades e capacidades dos usuários idosos no contexto brasileiro. \ No newline at end of file diff --git a/src/app/agentConfigs/problematica-contexto-itau.txt b/src/app/agentConfigs/problematica-contexto-itau.txt new file mode 100644 index 00000000..fc74950a --- /dev/null +++ b/src/app/agentConfigs/problematica-contexto-itau.txt @@ -0,0 +1,44 @@ +A problemática central do seu projeto no Itaú gira em torno da criação de uma experiência digital inclusiva e eficaz para a solicitação de empréstimos consignados por não correntistas, um público com alta prevalência de idosos e indivíduos com diferentes graus de letramento digital, incluindo desafios significativos para aqueles com baixo ou nenhum contato prévio com tecnologias. Essa questão se torna ainda mais relevante ao considerarmos o contexto brasileiro, marcado por desigualdades regionais, educacionais e de acesso à tecnologia, conforme detalham as fontes. +Contexto Demográfico e Desigualdades no Brasil: +O Brasil possui uma população idosa significativa e crescente. Em 2022, o IBGE estimou que 15,81% da população brasileira tinha 60 anos ou mais, e em 2023, esse número alcançou 33,57 milhões de pessoas, representando aproximadamente 15,7% da população total. Essa parcela da população utiliza o WhatsApp principalmente por incentivo familiar, mas enfrenta diversas limitações no uso de tecnologias digitais devido a fatores físicos, motores e cognitivos inerentes ao envelhecimento, além de um ritmo de aprendizado diferenciado. +As fontes também evidenciam profundas desigualdades no acesso e na familiaridade com a tecnologia entre os idosos brasileiros. Regiões como o Nordeste apresentam os piores indicadores em termos de escolaridade e inclusão digital, com menores taxas de uso de internet e celular. Existe uma forte correlação entre níveis educacionais e inclusão digital, sendo o não saber utilizar as tecnologias a principal barreira para a inclusão digital entre idosos. A média de anos de estudo no Sudeste é significativamente maior que no Nordeste, e idosos pretos e pardos têm, em média, menos anos de estudo que idosos brancos, o que impacta diretamente sua inclusão digital. +Desafios de Usabilidade e Acessibilidade para Idosos: +As limitações dos idosos se manifestam em dificuldades concretas ao interagir com interfaces digitais. Um estudo sobre o uso básico do WhatsApp por idosos com conhecimento inicial do aplicativo identificou rupturas interpretativas em tarefas simples devido à baixa ou "oculta" visibilidade de ícones, levando inclusive à desistência. Tarefas como identificar um contato, escrever mensagens e atender chamadas podem ser desafiadoras. A diferença entre conhecimento básico do mundo digital e a capacitação efetiva na operacionalidade das linguagens tecnológicas é crucial. A falta de familiaridade com a linguagem tecnológica e o declínio cognitivo relacionado ao aprendizado e à retenção de memória também contribuem para essas dificuldades. +Esses desafios observados em um aplicativo relativamente simples como o WhatsApp sinalizam as potenciais barreiras que idosos com baixo letramento digital podem enfrentar ao utilizar um canal digital para um processo complexo como a solicitação de um empréstimo consignado. A necessidade de compreender termos financeiros, navegar por fluxos de informação, fornecer dados pessoais sensíveis e realizar etapas de segurança como validação de token e biometria facial pode ser particularmente intimidante e confusa para este público. +Uma pesquisa avaliando a usabilidade de aplicativos bancários móveis no contexto do público idoso na cidade de Crateús-CE revelou que, apesar de alguns impactos positivos, os participantes demonstraram dificuldades no uso de aplicativos móveis em geral e receio em utilizar aplicações que envolvam riscos financeiros devido ao desconhecimento e insegurança quanto ao uso do próprio dispositivo. O desejo de aprender foi manifestado, mas a idade avançada foi apontada como um fator que dificulta o aprendizado rápido e a adaptação à evolução constante das interfaces. Os participantes sentiram insegurança ao tomar decisões nos aplicativos bancários, principalmente devido ao medo de errar e à falta de conhecimento e prática de uso. Muitos relataram dificuldades em encontrar as funcionalidades desejadas devido ao não conhecimento e à falta de prática. +Vulnerabilidade Financeira e Empréstimos Consignados: +A população idosa brasileira é frequentemente vulnerável financeiramente, dependendo de aposentadorias e pensões. Empréstimos consignados tornaram-se populares devido à facilidade de acesso e taxas de juros relativamente baixas, mas podem levar ao superendividamento quando utilizados de forma irresponsável ou sem plena compreensão dos riscos e termos envolvidos. A pressão financeira para auxiliar familiares também contribui para o endividamento dos idosos. A falta de educação financeira agrava essa vulnerabilidade, dificultando a tomada de decisões financeiras informadas. +Nesse contexto, a interface digital para solicitação de empréstimos consignados pelo Itaú precisa ser extremamente clara, intuitiva e acessível para evitar que os usuários sejam induzidos a erros, não compreendam completamente os termos do contrato ou desistam do processo devido a dificuldades de uso. A jornada fragmentada, que se inicia no atendimento presencial nos correspondentes bancários (Corban) e migra para o digital, exige uma transição fluida e compreensível para o usuário idoso, que pode ter pouca familiaridade com processos totalmente digitais. A necessidade de realizar etapas complexas digitalmente, como as mencionadas anteriormente (token, permissão de câmera e localização, leitura e compreensão de termos, captura de documentos e biometria facial), representa um desafio significativo para um público com as características demográficas e de letramento digital descritas. +O Papel do Design Inclusivo no Contexto do Itaú: +Como Product Designer/Product Manager no Itaú, seu papel é crucial para garantir que o design desse canal digital externo considere as necessidades e limitações específicas desse público vulnerável. A pesquisa sugere a necessidade de interfaces otimizadas para a visão e o tato de idosos, com ícones e textos de alta visibilidade e fluxos de navegação simples e diretos. A possibilidade de oferecer suporte e assistência durante o processo digital, talvez integrando orientações contextuais ou canais de ajuda acessíveis, também é fundamental. +Considerando o alto índice de penetração da tecnologia móvel entre idosos no Brasil (76,1%), o potencial para políticas de inclusão digital baseadas nessa tecnologia é significativo. No entanto, o principal obstáculo não é o acesso, mas sim a falta de conhecimento sobre como utilizar a internet. Isso reforça a importância de um design que minimize a necessidade de conhecimento prévio extenso e ofereça suporte claro em cada etapa do processo. +Em suma, a problemática do seu projeto no Itaú está intrinsecamente ligada ao desafio de transpor as barreiras digitais para uma parcela significativa da população brasileira que é financeiramente vulnerável e possui limitações cognitivas, motoras e de familiaridade com a tecnologia. Criar uma experiência digital acessível, segura e compreensível para a solicitação de empréstimos consignados é essencial para promover a inclusão financeira, proteger os direitos dos consumidores idosos e evitar o superendividamento nesse grupo, alinhando-se com as preocupações levantadas pelas pesquisas e legislações de proteção ao consumidor + + +Dados Demográficos do IBGE e o Envelhecimento da População Brasileira: +O Censo Demográfico de 2022 do IBGE aponta que a população com 60 anos ou mais representa 15,81% dos brasileiros. Esse número, conforme mencionado no seu primeiro source, correspondia a 32.113.490 pessoas em 2022. Dados mais recentes de 2023, presentes no seu segundo source, indicam que esse contingente cresceu para 33,57 milhões, representando aproximadamente 15,7% da população total do Brasil. Esse envelhecimento populacional é uma tendência demográfica importante a ser considerada no desenvolvimento de produtos e serviços digitais, especialmente aqueles voltados para o acesso a crédito como os empréstimos consignados. +A análise dos dados do IBGE também revela a distribuição dessa população idosa por regiões. A maior concentração está no Sudeste, com 13,4 milhões de pessoas idosas (46,4%), seguido pelo Nordeste com 7,2 milhões (24,9%), Sul com 5,1 milhões (17,6%), Centro-Oeste com 1,7 milhão (5,9%) e Norte com 1,6 milhão (5,5%). Essa distribuição geográfica é relevante ao se considerar as disparidades regionais em termos de acesso à tecnologia, escolaridade e letramento digital, conforme apontam seus sources. +Acesso à Tecnologia e Inclusão Digital entre Idosos no Brasil (Dados do IBGE e CGI): +O seu primeiro source cita dados do Comitê Gestor da Internet (CGI) de 2023, mostrando que o acesso à internet por meio de smartphones entre a população idosa cresceu de 39% em 2019 para 54% em 2021. Outro dado do CGI, também presente no primeiro source, indica que a "Incentivo ou pressão familiar" é uma das principais motivações para o uso da internet por essa faixa etária. +Seu segundo source, ao analisar dados das tabelas_idosos do IBGE, complementa essa informação ao evidenciar que a penetração da tecnologia móvel entre idosos é significativa, alcançando 76,1%. No entanto, a análise detalhada desses dados revela disparidades importantes. Existe uma forte correlação entre níveis educacionais e inclusão digital, com regiões de menor escolaridade apresentando menores taxas de uso de internet e celular. O Nordeste, em particular, apresenta os piores indicadores em praticamente todas as dimensões analisadas. +O seu segundo source também destaca a interseccionalidade entre raça e região, mostrando que idosos pretos e pardos do Nordeste enfrentam as maiores barreiras educacionais. Além disso, a principal barreira para a inclusão digital entre idosos não é o acesso em si, mas sim o "não saber utilizar as tecnologias". Isso reforça a importância de um design de interface que seja intuitivo e que minimize a necessidade de conhecimento prévio extenso, como discutimos anteriormente. +Nível de Escolaridade e Uso de Aplicativos Bancários (Análise de Dados do IBGE): +A análise detalhada presente no seu segundo source estabelece uma correlação muito forte (coeficiente de 0,96) entre escolaridade e o uso de aplicativos bancários. Uma tabela específica no mesmo source revela que nenhum dos participantes com escolaridade fundamental utiliza aplicativos bancários, enquanto todos com escolaridade média ou superior os utilizam. Essa informação é crucial para o seu projeto, pois o público não correntista que busca empréstimos consignados pode ter uma distribuição de níveis de escolaridade que se inclina mais para o fundamental, o que implicaria em uma menor familiaridade com aplicativos bancários e maiores desafios de usabilidade. +Tempo de Execução de Tarefas Digitais e a Idade (Correlação Baseada em Dados do IBGE): +Seu segundo source também aponta para uma correlação positiva forte (coeficiente de 0,87) entre a idade e o tempo de execução de tarefas digitais. Isso significa que, em geral, quanto mais idade, maior o tempo que um indivíduo leva para completar tarefas em ambientes digitais. Essa correlação se alinha com as dificuldades de aprendizado e retenção de memória relacionadas ao envelhecimento, mencionadas no seu primeiro source. Ao projetar a experiência digital para solicitação de empréstimos consignados, é fundamental considerar que os usuários idosos podem precisar de mais tempo para entender as informações, navegar pelos fluxos e completar as etapas do processo. +Superendividamento de Idosos e a Vulnerabilidade Financeira (Dados do IBGE e Banco Central): +O seu terceiro source, que trata da importância da educação financeira na prevenção do superendividamento de idosos por empréstimos consignados, utiliza dados de fontes secundárias como o Relatório de Cidadania Financeira do Banco Central (2022) e pesquisas do IBGE. Embora não detalhe os dados específicos do IBGE sobre endividamento nesse trecho, a menção indica que o instituto possui informações relevantes sobre a crescente preocupação com o número de idosos endividados no Brasil, especialmente em relação aos empréstimos consignados. +O mesmo source também cita a Pesquisa Nacional por Amostra de Domicílios Contínua (PNAD) do IBGE ao revelar que uma parcela significativa dos idosos contrai dívidas não para benefício próprio, mas para auxiliar financeiramente familiares. Aproximadamente 20% dos idosos que recorrem ao crédito consignado o fazem com o objetivo de ajudar parentes, frequentemente sem uma avaliação adequada de sua capacidade de pagamento. Essa prática de solidariedade intergeracional, embora nobre, agrava a vulnerabilidade financeira dos idosos e contribui para o superendividamento. +Implicações para o Design da Experiência Digital no Itaú: +Os dados do IBGE, combinados com as descobertas das pesquisas sobre usabilidade do WhatsApp e aplicativos bancários por idosos presentes nos seus sources, reforçam a urgência de uma abordagem de design inclusiva e centrada no usuário para o seu projeto no Itaú. É crucial considerar: +• +A diversidade do público idoso: As desigualdades regionais, educacionais e raciais impactam diretamente a familiaridade e a capacidade de interação com tecnologias digitais. Uma solução única pode não ser eficaz para todos. +• +O baixo letramento digital de uma parcela significativa: A principal barreira não é o acesso, mas o conhecimento para utilizar as tecnologias. A interface deve ser extremamente intuitiva, com linguagem clara e visualmente acessível. +• +As limitações cognitivas e motoras relacionadas à idade: O design deve levar em conta as dificuldades de visão, tato, aprendizado e retenção de memória comuns em idosos. Ícones grandes, textos legíveis, navegação simples e a possibilidade de desfazer ações são importantes. +• +A vulnerabilidade financeira e a importância da transparência: Dada a preocupação com o superendividamento, o processo de solicitação de empréstimo consignado deve ser o mais transparente possível, com informações claras sobre os termos, condições, riscos e custos envolvidos. Evitar termos técnicos complexos é fundamental. +• +A necessidade de suporte e assistência: Considerando as dificuldades que podem surgir, oferecer canais de ajuda acessíveis e orientações contextuais durante o processo digital pode ser crucial para garantir que os usuários não desistam ou tomem decisões equivocadas. +Ao incorporar esses dados do IBGE na sua análise e no processo de design, você estará melhor equipado para criar uma experiência digital que não apenas facilite o acesso a empréstimos consignados para não correntistas idosos, mas que também promova a inclusão financeira e proteja essa parcela vulnerável da população brasileira. As evidências demonstram a importância de ir além de uma simples digitalização do processo e de realmente adaptar a experiência às necessidades e capacidades dos usuários idosos no contexto brasileiro. \ No newline at end of file diff --git a/src/app/agentConfigs/protopersona b/src/app/agentConfigs/protopersona new file mode 100644 index 00000000..b22ddb27 --- /dev/null +++ b/src/app/agentConfigs/protopersona @@ -0,0 +1,12 @@ +Cliente com Benefício (Hipótese de Compreensão e Papel Ativo): +• Pode ser que o cliente com benefício veja o crédito como uma forma de acessar dinheiro de forma segura e confie na instituição financeira, mas é incerto até que ponto ele compreende os detalhes do processo ou se sente à vontade com o uso da tecnologia. +• É necessário investigar se ele prefere ter um papel mais ativo, acompanhando todas as etapas, ou se seria mais adequado que uma pessoa de confiança ou o atendente do Corban assuma um papel mais central na execução do fluxo. +• A validação deve explorar o nível de clareza necessário para que ele se sinta confortável e seguro no processo +Atendente do Corban (Hipótese de Facilitação e Suporte): +• Pode-se supor que o atendente atua não apenas como facilitador, mas também como uma espécie de consultor para o cliente, adaptando a abordagem conforme a capacidade de entendimento do usuário. No entanto, não se sabe até que ponto ele está preparado para lidar com diferentes perfis. +• É importante investigar se o treinamento que ele recebe e as ferramentas que utiliza são realmente eficazes para oferecer o suporte necessário, especialmente para pessoas com menos letramento digital. +• A validação deste perfil deve explorar se a presença do atendente de fato influencia a experiência do cliente e como ele percebe seu papel na conclusão do processo. +Pessoa de Confiança ou Familiar (Hipótese de Apoio e Intermediação): +• Presume-se que essa pessoa possa atuar como intermediária, ajudando o cliente com benefício a concluir o processo, mas é necessário investigar até que ponto ela entende o que é esperado dela. +• É incerto se essa pessoa possui o conhecimento necessário para guiar o cliente de maneira adequada, ou se ela também pode enfrentar dificuldades técnicas ou de compreensão durante o fluxo. +• A validação deve considerar como essa figura de apoio pode impactar a sensação de segurança do cliente e se o processo se torna mais fácil ou mais complicado com a sua intermediação. \ No newline at end of file diff --git a/src/app/agentConfigs/protopersona.txt b/src/app/agentConfigs/protopersona.txt new file mode 100644 index 00000000..b22ddb27 --- /dev/null +++ b/src/app/agentConfigs/protopersona.txt @@ -0,0 +1,12 @@ +Cliente com Benefício (Hipótese de Compreensão e Papel Ativo): +• Pode ser que o cliente com benefício veja o crédito como uma forma de acessar dinheiro de forma segura e confie na instituição financeira, mas é incerto até que ponto ele compreende os detalhes do processo ou se sente à vontade com o uso da tecnologia. +• É necessário investigar se ele prefere ter um papel mais ativo, acompanhando todas as etapas, ou se seria mais adequado que uma pessoa de confiança ou o atendente do Corban assuma um papel mais central na execução do fluxo. +• A validação deve explorar o nível de clareza necessário para que ele se sinta confortável e seguro no processo +Atendente do Corban (Hipótese de Facilitação e Suporte): +• Pode-se supor que o atendente atua não apenas como facilitador, mas também como uma espécie de consultor para o cliente, adaptando a abordagem conforme a capacidade de entendimento do usuário. No entanto, não se sabe até que ponto ele está preparado para lidar com diferentes perfis. +• É importante investigar se o treinamento que ele recebe e as ferramentas que utiliza são realmente eficazes para oferecer o suporte necessário, especialmente para pessoas com menos letramento digital. +• A validação deste perfil deve explorar se a presença do atendente de fato influencia a experiência do cliente e como ele percebe seu papel na conclusão do processo. +Pessoa de Confiança ou Familiar (Hipótese de Apoio e Intermediação): +• Presume-se que essa pessoa possa atuar como intermediária, ajudando o cliente com benefício a concluir o processo, mas é necessário investigar até que ponto ela entende o que é esperado dela. +• É incerto se essa pessoa possui o conhecimento necessário para guiar o cliente de maneira adequada, ou se ela também pode enfrentar dificuldades técnicas ou de compreensão durante o fluxo. +• A validação deve considerar como essa figura de apoio pode impactar a sensação de segurança do cliente e se o processo se torna mais fácil ou mais complicado com a sua intermediação. \ No newline at end of file diff --git a/src/app/agentConfigs/utils.ts b/src/app/agentConfigs/utils.ts index 5c7c2b7d..0c0ec4d1 100644 --- a/src/app/agentConfigs/utils.ts +++ b/src/app/agentConfigs/utils.ts @@ -1,53 +1,88 @@ +// src/app/agentConfigs/utils.ts import { AgentConfig, Tool } from "@/app/types"; +import { conversationMachine, ConversationEvent } from "@/app/simple/machines/conversationMachine"; /** - * This defines and adds "transferAgents" tool dynamically based on the specified downstreamAgents on each agent. + * Interface para o contexto de conversa persistente */ +interface ConversationContext { + name?: string; + preferredTreatment?: string; + benefitNumber?: string; + benefitValue?: number; + requestedAmount?: string; + purpose?: string; + hasCompanion?: boolean; + companionType?: string; + confirmedEntities: Set; + previousStates: string[]; + currentState: string; + lastInputTime: number; + cameraVerified: boolean; + lastStateChangeTime: number; +} + +/** + * Interface para informações extraídas da entrada do usuário + */ +interface ExtractedEntities { + name?: string; + preferredTreatment?: string; + benefitNumber?: string; + requestedAmount?: string; + purpose?: string; + hasCompanion?: boolean; + companionType?: string; + earlyExit?: boolean; +} + +/** + * Interface para resultado do processamento de entrada + */ +interface ProcessingResult { + entities: ExtractedEntities; + hasMultipleEntities: boolean; + shouldAdvanceState: boolean; + recommendedState: string | null; + confidence: number; + conflictingEntities: string[]; +} + +/** + * Estado global para manter o contexto da conversa + */ +let conversationContext: ConversationContext = { + confirmedEntities: new Set(), + previousStates: [], + currentState: "1_greeting", + lastInputTime: Date.now(), + cameraVerified: false, + lastStateChangeTime: Date.now() +}; + +/** + * Gera dinamicamente o tool de transferência de agentes downstream + */ +export let conversationState = conversationMachine.initialState; export function injectTransferTools(agentDefs: AgentConfig[]): AgentConfig[] { - // Iterate over each agent definition agentDefs.forEach((agentDef) => { - const downstreamAgents = agentDef.downstreamAgents || []; - - // Only proceed if there are downstream agents - if (downstreamAgents.length > 0) { - // Build a list of downstream agents and their descriptions for the prompt - const availableAgentsList = downstreamAgents - .map( - (dAgent) => - `- ${dAgent.name}: ${dAgent.publicDescription ?? "No description"}` - ) + const downstream = agentDef.downstreamAgents || []; + if (downstream.length > 0) { + const descList = downstream + .map((d) => `- ${d.name}: ${d.publicDescription}`) .join("\n"); - - // Create the transfer_agent tool specific to this agent - const transferAgentTool: Tool = { + const transferTool: Tool = { type: "function", name: "transferAgents", - description: `Triggers a transfer of the user to a more specialized agent. - Calls escalate to a more specialized LLM agent or to a human agent, with additional context. - Only call this function if one of the available agents is appropriate. Don't transfer to your own agent type. - - Let the user know you're about to transfer them before doing so. - - Available Agents: - ${availableAgentsList} - `, + description: `Transfere o usuário para outro agente especializado.\nDisponíveis:\n${descList}`, parameters: { type: "object", properties: { - rationale_for_transfer: { - type: "string", - description: "The reasoning why this transfer is needed.", - }, - conversation_context: { - type: "string", - description: - "Relevant context from the conversation that will help the recipient perform the correct action.", - }, + rationale_for_transfer: { type: "string" }, + conversation_context: { type: "string" }, destination_agent: { type: "string", - description: - "The more specialized destination_agent that should handle the user’s intended request.", - enum: downstreamAgents.map((dAgent) => dAgent.name), + enum: downstream.map((d) => d.name), }, }, required: [ @@ -57,24 +92,911 @@ export function injectTransferTools(agentDefs: AgentConfig[]): AgentConfig[] { ], }, }; + agentDef.tools = [...(agentDef.tools || []), transferTool]; + } + // evita circular + agentDef.downstreamAgents = (agentDef.downstreamAgents || []).map( + ({ name, publicDescription }) => ({ name, publicDescription }) + ); + }); + return agentDefs; +} - // Ensure the agent has a tools array - if (!agentDef.tools) { - agentDef.tools = []; - } +/** + * Processa a entrada do usuário para extrair informações relevantes + * e determinar o próximo estado + */ +export function processUserInput(input: string): ProcessingResult { + const entities = extractEntities(input); + const hasMultipleEntities = countSignificantEntities(entities) > 1; - // Add the newly created tool to the current agent's tools - agentDef.tools.push(transferAgentTool); + const conflictingEntities = detectConflictingEntities(entities); + + conversationContext.lastInputTime = Date.now(); + updateContext(entities); + const advanced = updateFromEntities(entities); + const recommendedState = conversationState.value; + const confidence = calculateConfidence(entities, recommendedState); + + const result = { + entities, + hasMultipleEntities, + shouldAdvanceState: advanced, + recommendedState, + confidence, + conflictingEntities, + }; + + console.log("[processUserInput]", result); + return result; +} + +/** + * Versão assíncrona que pode consultar um modelo LLM para sugerir o próximo estado + */ +export async function processUserInputAsync(input: string): Promise { + const result = processUserInput(input); + + try { + const llmState = await getLLMRecommendedState(input, exportContext()); + if (llmState) { + result.recommendedState = llmState; + result.shouldAdvanceState = true; + result.confidence = Math.max(result.confidence, 0.8); } + } catch (err) { + console.error("LLM state recommendation failed", err); + } + + console.log('[processUserInputAsync]', result); + return result; +} + +/** + * Chama a rota interna /api/chat/completions para obter recomendação de estado + */ +async function getLLMRecommendedState( + message: string, + context: ConversationContext +): Promise { + try { + const system = { + role: "system", + content: `Você é um classificador de estados para a assistente Marlene. Responda APENAS com o id do próximo estado dentre: 1_greeting, 2_identify_need, 4_benefit_verification, 5_camera_verification, 6_loan_simulation, 7_understanding_check, 8_confirmation, 9_closing, 10_early_exit.`, + }; + + const user = { + role: "user", + content: `Estado atual: ${context.currentState}. Mensagem: ${message}`, + }; + + const resp = await fetch("/api/chat/completions", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ model: "gpt-3.5-turbo", messages: [system, user] }), + }); - // so .stringify doesn't break with circular dependencies - agentDef.downstreamAgents = agentDef.downstreamAgents?.map( - ({ name, publicDescription }) => ({ - name, - publicDescription, - }) + const json = await resp.json(); + const text = json.choices?.[0]?.message?.content?.trim(); + if (!text) return null; + + const match = text.match( + /(1_greeting|2_identify_need|4_benefit_verification|5_camera_verification|6_loan_simulation|7_understanding_check|8_confirmation|9_closing|10_early_exit)/ ); + const state = match ? match[1] : null; + if (state) { + console.log('[getLLMRecommendedState] LLM suggested', state); + } + return state; + } catch (err) { + console.error("Failed to fetch LLM state", err); + return null; + } +} + +/** + * Atualiza o contexto da conversa com novas entidades extraídas + */ +export function updateContext(entities: ExtractedEntities): void { + // Atualizar apenas se valores não forem indefinidos + if (entities.name) { + conversationContext.name = entities.name; + conversationContext.confirmedEntities.add('name'); + } + + if (entities.preferredTreatment) { + conversationContext.preferredTreatment = entities.preferredTreatment; + conversationContext.confirmedEntities.add('preferredTreatment'); + } + + if (entities.benefitNumber) { + conversationContext.benefitNumber = entities.benefitNumber; + conversationContext.confirmedEntities.add('benefitNumber'); + } + + if (entities.requestedAmount) { + conversationContext.requestedAmount = entities.requestedAmount; + conversationContext.confirmedEntities.add('requestedAmount'); + } + + if (entities.purpose) { + conversationContext.purpose = entities.purpose; + conversationContext.confirmedEntities.add('purpose'); + } + + if (entities.hasCompanion) { + conversationContext.hasCompanion = entities.hasCompanion; + conversationContext.confirmedEntities.add('hasCompanion'); + } + + if (entities.companionType) { + conversationContext.companionType = entities.companionType; + conversationContext.confirmedEntities.add('companionType'); + } + + console.log('[updateContext]', { + currentState: conversationContext.currentState, + confirmed: Array.from(conversationContext.confirmedEntities), }); +} - return agentDefs; + +/** + * Registra uma mudança de estado no contexto da conversa + */ +export function recordStateChange(newState: string): void { + // Adicionar estado atual ao histórico + const prev = conversationContext.currentState; + conversationContext.previousStates.push(prev); + + // Atualizar estado atual + conversationContext.currentState = newState; + + // Registrar o momento da mudança + conversationContext.lastStateChangeTime = Date.now(); + + console.log('[StateChange]', { + from: prev, + to: newState, + at: new Date(conversationContext.lastStateChangeTime).toISOString(), + }); +} + +function sendEvent(event: ConversationEvent): boolean { + const prev = conversationState.value; + conversationState = conversationMachine.transition(conversationState, event); + if (conversationState.value !== prev) { + recordStateChange(conversationState.value); + return true; + } + return false; +} + +function updateFromEntities(entities: ExtractedEntities): boolean { + let changed = false; + if (entities.earlyExit) changed = sendEvent({ type: "EARLY_EXIT" }) || changed; + if (entities.name) changed = sendEvent({ type: "NAME_DETECTED" }) || changed; + if (entities.preferredTreatment) changed = sendEvent({ type: "NAME_DETECTED" }) || changed; + if (entities.purpose) changed = sendEvent({ type: "PURPOSE_DETECTED" }) || changed; + if (entities.benefitNumber && entities.requestedAmount) { + changed = sendEvent({ type: "BENEFIT_AND_VALUE_PROVIDED" }) || changed; + } else { + if (entities.benefitNumber) changed = sendEvent({ type: "BENEFIT_PROVIDED" }) || changed; + if (entities.requestedAmount) changed = sendEvent({ type: "VALUE_PROVIDED" }) || changed; + } + return changed; +} + + +/** + * Extrair todas as possíveis entidades da entrada do usuário + */ +function extractEntities(input: string): ExtractedEntities { + return { + name: extractName(input) || undefined, + preferredTreatment: extractPreferredTreatment(input) || undefined, + benefitNumber: extractBenefitNumber(input) || undefined, + requestedAmount: extractMonetaryValue(input) || undefined, + purpose: extractPurpose(input) || undefined, + hasCompanion: hasCompanion(input), + companionType: extractCompanionType(input) || undefined, + earlyExit: detectEarlyExitIntent(input) + }; +} + +/** + * Detecta entidades conflitantes entre o input atual e o contexto + */ +function detectConflictingEntities(entities: ExtractedEntities): string[] { + const conflicts: string[] = []; + + // Verificar para cada entidade se há conflito com o contexto existente + if (entities.name && + conversationContext.name && + entities.name !== conversationContext.name && + conversationContext.confirmedEntities.has('name')) { + conflicts.push('name'); + } + + if (entities.benefitNumber && + conversationContext.benefitNumber && + entities.benefitNumber !== conversationContext.benefitNumber && + conversationContext.confirmedEntities.has('benefitNumber')) { + conflicts.push('benefitNumber'); + } + + if (entities.requestedAmount && + conversationContext.requestedAmount) { + // Normalizar valores para comparação + const normalizedNew = normalizeMonetaryValue(entities.requestedAmount); + const normalizedExisting = normalizeMonetaryValue(conversationContext.requestedAmount); + + if (normalizedNew !== normalizedExisting && + conversationContext.confirmedEntities.has('requestedAmount')) { + conflicts.push('requestedAmount'); + } + } + + return conflicts; +} + +/** + * Normaliza um valor monetário para comparação + */ +function normalizeMonetaryValue(value: string): string { + // Remover 'R$', espaços, pontos e converter vírgula para ponto + return value.replace(/[R$\s.]/g, '').replace(',', '.'); +} + +/** + * Conta o número de entidades significativas extraídas + */ +function countSignificantEntities(entities: ExtractedEntities): number { + let count = 0; + + // Nome e tratamento preferido são menos significativos para avanço de estado + if (entities.benefitNumber) count += 2; // Mais peso para benefício + if (entities.requestedAmount) count += 2; // Mais peso para valor solicitado + if (entities.purpose) count += 1; + if (entities.name) count += 0.5; // Menor peso para nome + if (entities.preferredTreatment) count += 0.5; + if (entities.hasCompanion) count += 0.5; + + return Math.floor(count); +} + + +/** + * Calcula o nível de confiança na recomendação de estado + */ +function calculateConfidence(entities: ExtractedEntities, recommendedState: string | null): number { + if (!recommendedState) return 0; + + let confidence = 0; + + switch (recommendedState) { + case "6_loan_simulation": + // Alta confiança se temos benefício e valor solicitado + if (entities.benefitNumber && entities.requestedAmount) { + confidence = 0.9; + } + // Média-alta se temos benefício no contexto e valor solicitado agora + else if (conversationContext.benefitNumber && entities.requestedAmount) { + confidence = 0.8; + } + // Média se temos apenas benefício (contexto ou atual) e verificação de câmera + else if ((entities.benefitNumber || conversationContext.benefitNumber) && conversationContext.cameraVerified) { + confidence = 0.7; + } + break; + + case "10_early_exit": + if (entities.earlyExit) { + confidence = 0.9; + } else { + confidence = 0.4; + } + break; + + case "5_camera_verification": + // Alta confiança se temos benefício mas não câmera verificada + if ((entities.benefitNumber || conversationContext.benefitNumber) && !conversationContext.cameraVerified) { + confidence = 0.85; + } + break; + + case "4_benefit_verification": + // Alta confiança se temos valor mas não benefício + if (entities.requestedAmount && !entities.benefitNumber && !conversationContext.benefitNumber) { + confidence = 0.75; + } + break; + + + case "2_identify_need": + // Baixa-média confiança para nome/tratamento ou propósito sem outras informações críticas + if ((entities.name || entities.preferredTreatment) && !entities.benefitNumber && !entities.requestedAmount) { + confidence = 0.5; + } else if (entities.purpose && !entities.benefitNumber) { + confidence = 0.6; + } + break; + + default: + confidence = 0.3; // Baixa confiança para outros casos + } + + return confidence; +} + +/** + * Extrai possível nome do usuário do texto + */ +function extractName(text: string): string | null { + // Padrões comuns para identificação de nome + const patterns = [ + /meu nome [ée]h?\s+([a-zA-Z\s]+?)(?:[,.]|$|\s(?:e|mas|porque))/i, + /me chamo\s+([a-zA-Z\s]+?)(?:[,.]|$|\s(?:e|mas|porque))/i, + /sou (?:o|a)\s+([a-zA-Z\s]+?)(?:[,.]|$|\s(?:e|mas|porque))/i, + /aqui [ée]h?\s+(?:o|a)\s+([a-zA-Z\s]+?)(?:[,.]|$|\s(?:e|mas|porque))/i, + /(?:^|\s)(?:eu sou|quem fala [ée]h?)\s+([A-Z][a-z]+(?:\s+[A-Z][a-z]+){0,3})(?:\s|$)/i, + ]; + + for (const pattern of patterns) { + const match = text.match(pattern); + if (match && match[1]) { + // Limpar e validar o nome encontrado + const cleanName = match[1].trim(); + + // Validar se parece um nome válido (pelo menos 3 caracteres, sem números) + if (cleanName.length >= 3 && !/\d/.test(cleanName)) { + return cleanName; + } + } + } + + // Tentar estratégia de busca de palavras capitalizadas + const capitalizedWords = text.match(/(?:^|\s)([A-Z][a-z]{2,}(?:\s+[A-Z][a-z]{2,}){0,3})(?:\s|$)/); + if (capitalizedWords && capitalizedWords[1]) { + const potentialName = capitalizedWords[1].trim(); + + // Lista de palavras comuns que não são nomes + const nonNameWords = [ + 'Bom', 'Boa', 'Olá', 'Oi', 'Sim', 'Não', 'Itaú', 'Banco', + 'INSS', 'Brasil', 'São', 'Paulo', 'Rio', 'Janeiro' + ]; + + // Verificar se não é uma dessas palavras + if (!nonNameWords.some(word => potentialName.includes(word))) { + return potentialName; + } + } + + return null; +} + +/** + * Extrai possível número de benefício do texto com validação aprimorada + */ +function extractBenefitNumber(text: string): string | null { + // Padrões para números de benefício + const patterns = [ + /(?:meu )?benefício\s+(?:é|eh|e)?\s*[:]?\s*(\d[\d\s.]*\d)/i, + /(?:número|numero|nº)\s+(?:do|de)\s+benefício\s+(?:é|eh|e)?\s*[:]?\s*(\d[\d\s.]*\d)/i, + /(?:benefício|nb|número do benefício)[:#]?\s*(\d[\d\s.]*\d)/i, + /\b(\d{6,})\b/, // Sequências numéricas isoladas (possíveis benefícios) + ]; + + for (const pattern of patterns) { + const match = text.match(pattern); + if (match && match[1]) { + // Normalizar removendo espaços e pontos + const normalizedBenefit = match[1].replace(/[\s.]/g, ''); + + // Validar comprimento do benefício (tipicamente 6-12 dígitos) + if (normalizedBenefit.length >= 6 && normalizedBenefit.length <= 12) { + // Validar que são apenas dígitos + if (/^\d+$/.test(normalizedBenefit)) { + return normalizedBenefit; + } + } + } + } + + // Tentar encontrar sequências numéricas que pareçam benefícios + const digitSequences = text.match(/\b\d{6,12}\b/g); + if (digitSequences && digitSequences.length > 0) { + // Retornar a primeira sequência de 6-12 dígitos encontrada + return digitSequences[0]; + } + + return null; +} + +/** + * Extrai possível valor monetário do texto com reconhecimento aprimorado + */ +function extractMonetaryValue(text: string): string | null { + // Padrões para valores monetários + const patterns = [ + /R\$\s*(\d{1,3}(?:\.?\d{3})*(?:,\d{1,2})?)/i, + /(\d{1,3}(?:\.?\d{3})*(?:,\d{1,2})?)\s*reais/i, + /(?:quero|preciso de|gostaria de)(?:\s+pegar|\s+solicitar|\s+fazer|\s+um empréstimo de)\s+(?:R\$\s*)?(\d{1,3}(?:\.?\d{3})*(?:,\d{1,2})?)/i, + /empréstimo\s+de\s+(?:R\$\s*)?(\d{1,3}(?:\.?\d{3})*(?:,\d{1,2})?)/i, + /valor\s+de\s+(?:R\$\s*)?(\d{1,3}(?:\.?\d{3})*(?:,\d{1,2})?)/i, + /(\d+)\s*mil(?:\s+reais)?/i, + /\b(dez|vinte|trinta|quarenta|cinquenta|sessenta|setenta|oitenta|noventa|cem)\s+mil\b/i, + ]; + + for (const pattern of patterns) { + const match = text.match(pattern); + if (match && match[1]) { + let value = match[1].trim(); + + // Converter palavras numéricas para valores + if (pattern.toString().includes('dez|vinte|trinta')) { + const wordToNumber: Record = { + 'dez': 10000, + 'vinte': 20000, + 'trinta': 30000, + 'quarenta': 40000, + 'cinquenta': 50000, + 'sessenta': 60000, + 'setenta': 70000, + 'oitenta': 80000, + 'noventa': 90000, + 'cem': 100000 + }; + + const numberWord = match[1].toLowerCase(); + if (wordToNumber[numberWord]) { + value = wordToNumber[numberWord].toLocaleString('pt-BR', { + minimumFractionDigits: 2, + maximumFractionDigits: 2 + }); + } + } + // Converter expressões como "10 mil" para formato numérico + else if (pattern.toString().includes('mil')) { + const numericPart = parseInt(value.replace(/\D/g, '')); + value = (numericPart * 1000).toLocaleString('pt-BR', { + minimumFractionDigits: 2, + maximumFractionDigits: 2 + }); + } + + // Garantir que há dígitos no valor + if (!/\d/.test(value)) continue; + + // Garantir formato correto + if (!value.includes('R$')) { + value = `R$ ${value}`; + } + + // Validar que o valor está em uma faixa plausível para empréstimo + // Extrair apenas os dígitos para validação + const numericValue = parseInt(value.replace(/\D/g, '')); + if (numericValue >= 1000 && numericValue <= 200000) { + return value; + } + } + } + + return null; } + +/** + * Extrai possível finalidade do empréstimo + */ +function extractPurpose(text: string): string | null { + // Padrões para finalidades comuns + const patterns = [ + /(?:para|pra)\s+(reforma|comprar|pagar|quitar|ajudar|viajar)/i, + /preciso\s+(?:do\s+dinheiro\s+)?(?:para|pra)\s+(reforma|reformar|comprar|pagar|quitar|ajudar|viajar)/i, + /quero\s+(?:fazer\s+um\s+empréstimo\s+)?(?:para|pra)\s+(reforma|reformar|comprar|pagar|quitar|ajudar|viajar)/i, + /(?:empréstimo|dinheiro)\s+(?:para|pra)\s+(reforma|reformar|comprar|pagar|quitar|ajudar|viajar)/i, + ]; + + // Lista de finalidades comuns + const commonPurposes = [ + 'reforma', 'reformar', 'compra', 'comprar', 'pagamento', 'pagar', + 'quitação', 'quitar', 'ajuda', 'ajudar', 'viagem', 'viajar', + 'saúde', 'tratamento', 'presente', 'dar', 'investimento', + 'investir', 'emergência', 'casa', 'carro', 'moto' + ]; + + // Verificar padrões específicos + for (const pattern of patterns) { + const match = text.match(pattern); + if (match && match[1]) { + return match[1].trim().toLowerCase(); + } + } + + // Verificar menções diretas de finalidades comuns + for (const purpose of commonPurposes) { + const purposeRegex = new RegExp(`\\b${purpose}\\b`, 'i'); + if (purposeRegex.test(text)) { + return purpose; + } + } + + return null; +} + +/** + * Extrai possível forma de tratamento preferida + */ +function extractPreferredTreatment(text: string): string | null { + // Padrões para preferências de tratamento + const patterns = [ + /(?:me chame|pode me chamar|prefiro|me trate|me tratar)\s+(?:de|como)\s+([a-zA-Zà-ú\s]+?)(?:[,.]|$|\s(?:e|mas|porque))/i, + /(?:pode me chamar|me chame)\s+(?:pelo|por|de)\s+(senhor|senhora|você|seu|dona)/i, + /(?:prefiro|pode|use)\s+(?:o|a)\s+(senhor|senhora|você|nome)/i, + /(?:pode me chamar de|me chame de|me trate como|pode me tratar como|prefiro ser chamado de|prefiro que me chame de)\s+([a-zA-Zà-ú\s]+?)(?:[,.]|$)/i, + /(?:não precisa|sem|nada de)\s+(?:me chamar de|formalidade|me tratar como)\s+(?:o\s+)?(senhor|senhora)/i, + ]; + + for (const pattern of patterns) { + const match = text.match(pattern); + if (match && match[1]) { + let treatment = match[1].trim().toLowerCase(); + + // Se for negação de formalidade, padronizar como "você" + if (pattern.toString().includes('não precisa|sem|nada de')) { + return "você"; + } + + // Padronizar tratamentos + if (['sr', 'sr.', 'senhor'].includes(treatment)) { + treatment = "senhor"; + } else if (['sra', 'sra.', 'senhora'].includes(treatment)) { + treatment = "senhora"; + } else if (['vc', 'voce', 'tu'].includes(treatment)) { + treatment = "você"; + } else if (['nome'].includes(treatment)) { + treatment = "nome"; + } + + return treatment; + } + } + + // Verificar também expressões de informalidade + if (/(?:pode me chamar|me chame|me trate|prefiro)\s+(?:com|de)\s+você/i.test(text) || + /(?:sem formalidade|informal)/i.test(text)) { + return "você"; + } + + return null; +} + +/** + * Verifica se o texto indica a presença de acompanhante + */ +function hasCompanion(text: string): boolean { + // Padrões que indicam presença de acompanhante + const companionPatterns = [ + /estou\s+com\s+m(?:eu|inha)/i, + /(?:meu|minha)\s+(?:filho|filha|neto|neta|esposo|esposa|marido|mulher|sobrinho|sobrinha|acompanhante)/i, + /(?:vim|estou|cheguei)\s+acompanhad[oa]/i, + /(?:trouxe|com)\s+(?:um|uma)\s+acompanhante/i, + /(?:não )?estou\s+sozinho/i, + /(?:tem|há)\s+alguém\s+comigo/i, + ]; + + return companionPatterns.some(pattern => pattern.test(text)); +} + +/** + * Extrai o tipo de acompanhante mencionado + */ +function extractCompanionType(text: string): string | null { + if (!hasCompanion(text)) return null; + + // Padrões para tipos de acompanhante + const patterns = [ + /(?:com\s+m(?:eu|inha)|acompanhad[oa] d[oa] m(?:eu|inha))\s+(filho|filha|neto|neta|esposo|esposa|marido|mulher|sobrinho|sobrinha|irmão|irmã|pai|mãe|amigo|amiga)/i, + /m(?:eu|inha)\s+(filho|filha|neto|neta|esposo|esposa|marido|mulher|sobrinho|sobrinha|irmão|irmã|pai|mãe|amigo|amiga)/i, + ]; + + for (const pattern of patterns) { + const match = text.match(pattern); + if (match && match[1]) { + const companionType = match[1].toLowerCase(); + + // Agrupar tipos semelhantes + if (['filho', 'filha'].includes(companionType)) return 'filho(a)'; + if (['neto', 'neta'].includes(companionType)) return 'neto(a)'; + if (['esposo', 'esposa', 'marido', 'mulher'].includes(companionType)) return 'cônjuge'; + if (['sobrinho', 'sobrinha'].includes(companionType)) return 'outro_familiar'; + if (['irmão', 'irmã', 'pai', 'mãe'].includes(companionType)) return 'outro_familiar'; + if (['amigo', 'amiga'].includes(companionType)) return 'amigo(a)'; + + return 'outro_familiar'; + } + } + + return 'acompanhante'; +} + +/** + * Detecta se o usuário quer encerrar o atendimento + */ +function detectEarlyExitIntent(text: string): boolean { + const patterns = [ + /\bdesist(?:ir|o|iu)?\b/i, + /\bcancelar?\b/i, + /n[aã]o\s+quero/i, + /deixa\s+pra\s+l[aá]/i, + ]; + return patterns.some((p) => p.test(text)); +} + +/** + * Registra quando a câmera é verificada com sucesso + */ +export function setCameraVerified(verified: boolean): void { + conversationContext.cameraVerified = verified; + if (verified) { + conversationContext.confirmedEntities.add("cameraVerified"); + sendEvent({ type: "CAMERA_VERIFIED" }); + } +} + +export function notifyBenefitConfirmed(): void { + sendEvent({ type: "BENEFIT_CONFIRMED" }); +} + +/** + * Ferramenta para animação de valor + */ +export const animateValueTool: Tool = { + type: "function", + name: "animate_loan_value", + description: "Destaca o valor do empréstimo na interface. Use sempre que mencionar o valor solicitado pelo cliente.", + parameters: { + type: "object", + properties: { + amount: { + type: "string", + description: "Valor do empréstimo a ser destacado (ex: R$ 10.000,00)" + } + }, + required: [] + }, +}; + +/** + * Ferramenta para abrir câmera + */ +export const openCameraTool: Tool = { + type: "function", + name: "open_camera", + description: + "Pede permissão ao usuário e ativa a câmera do dispositivo para verificação. Use em um momento natural da conversa, após explicar a necessidade.", + parameters: { type: "object", properties: {}, required: [] }, +}; + +/** + * Ferramenta para fechar câmera + */ +export const closeCameraTool: Tool = { + type: "function", + name: "close_camera", + description: + "Fecha a câmera do dispositivo após a verificação estar completa.", + parameters: { type: "object", properties: {}, required: [] }, +}; + +/** + * Ferramenta para verificar compreensão do cliente + */ +export const verifyUnderstandingTool: Tool = { + type: "function", + name: "verify_understanding", + description: "Verifica se o cliente compreendeu os termos do empréstimo", + parameters: { + type: "object", + properties: { + loanAmount: { + type: "string", + description: "Valor do empréstimo" + }, + installmentValue: { + type: "string", + description: "Valor da parcela mensal" + }, + term: { + type: "number", + description: "Prazo em meses" + }, + benefitImpactPercentage: { + type: "number", + description: "Percentual do benefício comprometido" + } + }, + required: ["loanAmount", "installmentValue", "term", "benefitImpactPercentage"] + } +}; + +/** + * Ferramenta para simplificação de conceitos financeiros + */ +export const simplifyFinancialExplanationTool: Tool = { + type: "function", + name: "simplify_financial_explanation", + description: "Traduz conceitos financeiros para explicações muito simplificadas com analogias do cotidiano", + parameters: { + type: "object", + properties: { + concept: { + type: "string", + enum: ["juros", "parcela", "prazo", "margem_consignavel", "valor_total"], + description: "Conceito financeiro a ser explicado" + }, + context: { + type: "string", + description: "Contexto específico da conversa" + } + }, + required: ["concept"] + } +}; + +/** + * Ferramenta para incluir acompanhante na conversa + */ +export const includeCompanionTool: Tool = { + type: "function", + name: "include_companion", + description: "Adapta o atendimento para incluir um acompanhante na conversa", + parameters: { + type: "object", + properties: { + hasCompanion: { + type: "boolean", + description: "Indica se há um acompanhante presente" + }, + relationshipType: { + type: "string", + enum: ["filho(a)", "cônjuge", "neto(a)", "outro_familiar", "amigo(a)", "cuidador(a)"], + description: "Relação do acompanhante com o cliente" + } + }, + required: ["hasCompanion"] + } +}; + +/** + * Ferramenta para consulta de benefício e limites disponíveis + */ +export const consultBenefitTool: Tool = { + type: "function", + name: "consult_benefit", + description: + "Consulta informações do benefício do cliente para calcular margem e limite", + parameters: { + type: "object", + properties: { + benefitNumber: { + type: "string", + description: "Número do benefício do INSS", + }, + customerName: { + type: "string", + description: "Nome do cliente", + }, + }, + required: ["benefitNumber"], + }, +}; + +/** + * Ferramenta para criação de documentação acessível + */ +export const createAccessibleDocumentationTool: Tool = { + type: "function", + name: "create_accessible_documentation", + description: "Cria documentação simplificada com recursos visuais e áudio para baixa alfabetização", + parameters: { + type: "object", + properties: { + customerName: { + type: "string", + description: "Nome do cliente" + }, + loanDetails: { + type: "object", + properties: { + loanAmount: { type: "string" }, + installmentValue: { type: "string" }, + term: { type: "number" }, + benefitDeduction: { type: "string" } + } + }, + deliveryMethod: { + type: "string", + enum: ["whatsapp_audio", "sms", "print_visual"], + description: "Método de entrega com preferência para formatos não-textuais" + } + }, + required: ["customerName", "loanDetails", "deliveryMethod"] + } +}; + +/** + * Ferramenta para tratamento de erros de câmera + */ +export const handleCameraErrorTool: Tool = { + type: "function", + name: "handle_camera_error", + description: "Trata erros na verificação por câmera oferecendo alternativas", + parameters: { + type: "object", + properties: { + errorType: { + type: "string", + enum: ["permission_denied", "device_unavailable", "timeout", "other"], + description: "Tipo de erro encontrado" + }, + alternativeMethod: { + type: "string", + enum: ["try_again", "phone_verification", "in_person_verification"], + description: "Método alternativo sugerido" + } + }, + required: ["errorType"] + } +}; + +/** + * Ferramenta para gerar saudação de acordo com o horário + */ +export const timeGreetingTool: Tool = { + type: "function", + name: "time_greeting", + description: + "Retorna 'Bom dia', 'Boa tarde' ou 'Boa noite' conforme o horário atual.", + parameters: { type: "object", properties: {}, required: [] } +}; + +/** + * Ferramenta para falar a saudação de acordo com o horário + */ +export const sayGreetingTool: Tool = { + type: "function", + name: "say_time_greeting", + description: + "Retorna a saudação apropriada ('Bom dia', 'Boa tarde' ou 'Boa noite') conforme o horário atual.", + parameters: { type: "object", properties: {}, required: [] } +}; + +/** + * Resetar o contexto da conversa para uma nova interação + */ +export function resetConversationContext(): void { + conversationContext = { + confirmedEntities: new Set(), + previousStates: [], + currentState: "1_greeting", + lastInputTime: Date.now(), + cameraVerified: false, + lastStateChangeTime: Date.now() + }; + conversationState = conversationMachine.initialState; +} + +/** + * Exporta o contexto atual para debug ou armazenamento + */ +export function exportContext(): ConversationContext { + return { ...conversationContext }; +} + +/** + * Importa um contexto existente (para retomar conversas) + */ +export function importContext(context: ConversationContext): void { + conversationContext = { ...context }; +} \ No newline at end of file diff --git a/src/app/api/face-verify/route.ts b/src/app/api/face-verify/route.ts new file mode 100644 index 00000000..93d06919 --- /dev/null +++ b/src/app/api/face-verify/route.ts @@ -0,0 +1,68 @@ +import { NextResponse } from "next/server"; +import * as faceapi from "face-api.js"; +import "@tensorflow/tfjs-node"; +import { Canvas, Image, ImageData, loadImage } from "canvas"; +import path from "path"; + +faceapi.env.monkeyPatch({ Canvas, Image, ImageData }); + +const modelPath = path.join(process.cwd(), "public", "models"); +const referenceImagePath = path.join(process.cwd(), "public", "images", "document.jpg"); + +let modelsLoaded = false; +let referenceDescriptor: Float32Array | null = null; + +async function loadModels() { + if (modelsLoaded) return; + await Promise.all([ + faceapi.nets.faceRecognitionNet.loadFromDisk(modelPath), + faceapi.nets.ssdMobilenetv1.loadFromDisk(modelPath), + faceapi.nets.faceLandmark68Net.loadFromDisk(modelPath), + ]); + modelsLoaded = true; +} + +async function getReferenceDescriptor() { + if (referenceDescriptor) return referenceDescriptor; + const img = await loadImage(referenceImagePath); + const detection = await faceapi + .detectSingleFace(img) + .withFaceLandmarks() + .withFaceDescriptor(); + if (!detection) { + throw new Error("No face found in reference image"); + } + referenceDescriptor = detection.descriptor; + return referenceDescriptor; +} + +export async function POST(req: Request) { + try { + await loadModels(); + const baseDescriptor = await getReferenceDescriptor(); + + const { image } = await req.json(); + if (!image || typeof image !== "string") { + return NextResponse.json({ error: "No image provided" }, { status: 400 }); + } + + const img = await loadImage(image); + const detection = await faceapi + .detectSingleFace(img) + .withFaceLandmarks() + .withFaceDescriptor(); + if (!detection) { + return NextResponse.json({ verified: false, error: "No face detected" }); + } + + const distance = faceapi.euclideanDistance( + detection.descriptor, + baseDescriptor + ); + const verified = distance < 0.6; + return NextResponse.json({ verified, distance }); + } catch (error: any) { + console.error("Error in /face-verify:", error); + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} diff --git a/src/app/api/loan/consult/route.ts b/src/app/api/loan/consult/route.ts new file mode 100644 index 00000000..d4af8ae5 --- /dev/null +++ b/src/app/api/loan/consult/route.ts @@ -0,0 +1,101 @@ +import { NextResponse } from "next/server"; +import OpenAI from "openai"; +import { promises as fs } from "fs"; +import path from "path"; + +import { ConsultaBeneficio } from "@/app/loanSimulator"; + +const openai = new OpenAI(); +const cacheFile = path.join(process.cwd(), "data", "llm-benefit-cache.json"); +let cache: Record | null = null; + +async function loadCache() { + if (cache) return; + try { + const data = await fs.readFile(cacheFile, "utf8"); + cache = JSON.parse(data); + } catch { + cache = {}; + } +} + +async function saveCache() { + if (!cache) return; + await fs.mkdir(path.dirname(cacheFile), { recursive: true }); + await fs.writeFile(cacheFile, JSON.stringify(cache, null, 2)); +} + +export async function POST(req: Request) { + try { + const { numeroBeneficio, nomeCliente } = await req.json(); + await loadCache(); + if (cache && cache[numeroBeneficio]) { + return NextResponse.json(cache[numeroBeneficio]); + } + + const system = { + role: "system", + content: + "Você gera dados fictícios de crédito consignado em formato JSON. Responda APENAS com JSON compatível com a interface ConsultaBeneficio.", + } as const; + const user = { + role: "user", + content: `Cliente: ${nomeCliente}. Benefício: ${numeroBeneficio}.`, + } as const; + + const completion = await openai.chat.completions.create({ + model: "gpt-3.5-turbo", + messages: [system, user], + temperature: 0.7, + }); + + const text = completion.choices?.[0]?.message?.content?.trim() || "{}"; + const start = text.indexOf("{"); + const end = text.lastIndexOf("}"); + const jsonText = text.slice(start, end + 1); + + let parsed: unknown; + try { + parsed = JSON.parse(jsonText); + } catch (parseError) { + console.error("Failed to parse ConsultaBeneficio response", parseError); + return NextResponse.json( + { error: "Erro ao processar resposta do assistente" }, + { status: 500 } + ); + } + + const requiredFields: (keyof ConsultaBeneficio)[] = [ + "beneficiario", + "beneficio", + "credito", + "ofertasItau", + "taxasPorPrazo", + ]; + + const hasAllFields = + typeof parsed === "object" && + parsed !== null && + requiredFields.every((field) => field in (parsed as any)); + + if (!hasAllFields) { + console.error("Incomplete ConsultaBeneficio object", parsed); + return NextResponse.json( + { error: "Resposta do assistente incompleta" }, + { status: 500 } + ); + } + + const result = parsed as ConsultaBeneficio; + + if (cache) { + cache[numeroBeneficio] = result; + await saveCache(); + } + + return NextResponse.json(result); + } catch (error: any) { + console.error("Error in /loan/consult:", error); + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} diff --git a/src/app/api/session/route.ts b/src/app/api/session/route.ts index 9f1d9bc1..2bb51f77 100644 --- a/src/app/api/session/route.ts +++ b/src/app/api/session/route.ts @@ -1,7 +1,19 @@ +// src/app/api/session/route.ts import { NextResponse } from "next/server"; export async function GET() { try { + console.log("Tentando obter sessão com a chave do ambiente"); + + if (!process.env.OPENAI_API_KEY) { + console.error("OPENAI_API_KEY não está configurada nas variáveis de ambiente!"); + return NextResponse.json( + { error: "API key não configurada" }, + { status: 500 } + ); + } + + // Simplificar o modelo para tentar o mais básico const response = await fetch( "https://api.openai.com/v1/realtime/sessions", { @@ -11,17 +23,34 @@ export async function GET() { "Content-Type": "application/json", }, body: JSON.stringify({ - model: "gpt-4o-realtime-preview-2024-12-17", + model: "gpt-4o-realtime-preview", // Removida a versão específica com a data }), } ); + + if (!response.ok) { + const errorText = await response.text(); + console.error("Erro na resposta da API da OpenAI:", response.status, errorText); + return NextResponse.json( + { error: `API OpenAI retornou ${response.status}: ${errorText}` }, + { status: response.status } + ); + } + const data = await response.json(); + console.log("Resposta da API:", JSON.stringify(data, null, 2)); + + if (!data.client_secret?.value) { + console.error("Resposta da API não contém client_secret.value:", data); + } + return NextResponse.json(data); } catch (error) { - console.error("Error in /session:", error); + console.error("Erro detalhado em /session:", error); + const message = error instanceof Error ? error.message : String(error); return NextResponse.json( - { error: "Internal Server Error" }, + { error: "Internal Server Error", details: message }, { status: 500 } ); } -} +} \ No newline at end of file diff --git a/src/app/api/verification/route.ts b/src/app/api/verification/route.ts new file mode 100644 index 00000000..a65ed3ec --- /dev/null +++ b/src/app/api/verification/route.ts @@ -0,0 +1,56 @@ +import { NextResponse } from "next/server"; +import OpenAI from "openai"; + +const openai = new OpenAI(); + +export async function POST(req: Request) { + try { + const contentType = req.headers.get("content-type") || ""; + let imageData: string | null = null; + + if (contentType.includes("application/json")) { + const { image } = await req.json(); + if (typeof image === "string") { + imageData = image; + } + } else if (contentType.includes("multipart/form-data")) { + const form = await req.formData(); + const file = form.get("file") as Blob | null; + if (file) { + const buffer = Buffer.from(await file.arrayBuffer()); + imageData = `data:${file.type};base64,${buffer.toString("base64")}`; + } + } + + if (!imageData) { + return NextResponse.json({ error: "No image provided" }, { status: 400 }); + } + + const messages = [ + { + role: "user", + content: [ + { + type: "text", + text: + "Compare esta imagem com a foto do documento em nosso cadastro e responda apenas 'SIM' ou 'NAO'.", + }, + { type: "image_url", image_url: { url: imageData } }, + ], + }, + ]; + + const completion = await openai.chat.completions.create({ + model: "gpt-4o", + messages, + }); + + const text = completion.choices?.[0]?.message?.content?.trim() || ""; + const verified = /^sim$/i.test(text); + + return NextResponse.json({ verified, text }); + } catch (error: any) { + console.error("Error in /verification:", error); + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} diff --git a/src/app/globals.css b/src/app/globals.css index 30f9f4b6..18fa006a 100644 --- a/src/app/globals.css +++ b/src/app/globals.css @@ -5,18 +5,34 @@ :root { --background: #fafafa; --foreground: #171717; + --color-agent-rgb: 252, 98, 0; + --color-user-rgb: 0, 102, 204; + --color-transition-rgb: 126, 100, 153; + --color-loan-rgb: 255, 133, 0; } @media (prefers-color-scheme: dark) { :root { --background: #0a0a0a; --foreground: #ededed; + --font-family: 'MinhaFonte', system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", + Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif; } } body { color: var(--foreground); background: var(--background); - font-family: system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, - "Helvetica Neue", Arial, "Noto Sans", sans-serif; + font-family: var(--font-family); +} + +@font-face { + font-family: 'MinhaFonte'; + src: url('/fonts/ItauDisplayPro_W_Bd.woff') format('woff'), + url('/fonts/ItauDisplayPro_W_Bd.woff2') format('woff2'), + url('/fonts/ItauDisplayPro_W_He.woff') format('woff'), + url('/fonts/ItauDisplayPro_W_He.woff2') format('woff2'); + font-weight: normal; + font-style: normal; + font-display: swap; } diff --git a/src/app/hooks/useHandleServerEvent.ts b/src/app/hooks/useHandleServerEvent.ts index b564cdb6..49b16b77 100644 --- a/src/app/hooks/useHandleServerEvent.ts +++ b/src/app/hooks/useHandleServerEvent.ts @@ -1,9 +1,15 @@ -"use client"; +// src/app/hooks/useHandleServerEvent.ts import { ServerEvent, SessionStatus, AgentConfig } from "@/app/types"; import { useTranscript } from "@/app/contexts/TranscriptContext"; import { useEvent } from "@/app/contexts/EventContext"; -import { useRef } from "react"; +import { useRef, useState, useEffect } from "react"; +import { useSimulation } from "../simple/contexts/SimulationContext"; +import { + processUserInputAsync, + recordStateChange, + exportContext +} from "@/app/agentConfigs/utils"; export interface UseHandleServerEventParams { setSessionStatus: (status: SessionStatus) => void; @@ -22,35 +28,225 @@ export function useHandleServerEvent({ setSelectedAgentName, }: UseHandleServerEventParams) { const { - transcriptItems, addTranscriptBreadcrumb, addTranscriptMessage, - updateTranscriptMessage, updateTranscriptItemStatus, } = useTranscript(); const { logServerEvent } = useEvent(); + const { simulationMode, currencySymbol, locale } = useSimulation(); + + // Estado para monitorar se detectamos um valor monetário + const [detectedAmount, setDetectedAmount] = useState(null); + + // UI events state for rendering icons or other UI triggers + const [, setUIEvents] = useState<{ + name: string; + icon: string; + color: string; + }[]>([]); + + // Debug logs state for inspecting raw events + const [, setDebugLogs] = useState([]); + + // Efeito para ouvir eventos simulados + useEffect(() => { + if (!simulationMode) return; // Apenas ouvir no modo simulação + + // Handler para eventos simulados de UI + const handleSimulatedUIEvent = (e: CustomEvent) => { + if (e.detail) { + console.log("🧪 Evento UI simulado:", e.detail); + setUIEvents(prev => [...prev, e.detail]); + } + }; + + // Registrar ouvintes + document.addEventListener('simulated-ui-event', handleSimulatedUIEvent as EventListener); + + // Limpar ouvintes + return () => { + document.removeEventListener('simulated-ui-event', handleSimulatedUIEvent as EventListener); + }; + }, [simulationMode]); + + // Função para detectar valores monetários em texto + const detectMoneyAmount = (text: string): string | null => { + const escapedSymbol = currencySymbol.replace(/[-\/\^$*+?.()|[\]{}]/g, '\$&'); + const symbolRegex = new RegExp( + `${escapedSymbol}\s*(\d{1,3}(?:\.\d{3})*(?:,\d{1,2})?|\d+)`, + 'i' + ); + const unitRegex = /(\d+)\s*(mil|milhão|milhões)/i; + + let match = text.match(symbolRegex); + if (match) { + let amount = match[0]; + if (!amount.startsWith(currencySymbol)) { + amount = `${currencySymbol} ${amount}`; + } + return amount; + } + + match = text.match(unitRegex); + if (match) { + const baseNumber = parseInt(match[1], 10); + const unit = match[2].toLowerCase(); + const multiplier = unit.includes('milhão') ? 1000000 : 1000; + const value = (baseNumber * multiplier).toLocaleString(locale, { + minimumFractionDigits: 2, + maximumFractionDigits: 2 + }); + return `${currencySymbol} ${value}`; + } + + return null; + }; const handleFunctionCall = async (functionCallParams: { name: string; call_id?: string; arguments: string; }) => { - const args = JSON.parse(functionCallParams.arguments); + // Log function call for debugging + console.log("🛠️ Function call received:", functionCallParams.name); + setDebugLogs((prev) => [...prev, { type: 'function_call', data: functionCallParams }]); + + // Special handling for UI events + if (functionCallParams.name === "ui_event") { + const args = JSON.parse(functionCallParams.arguments); + console.log("🎮 UI Event args:", args); + setDebugLogs((prev) => [...prev, { type: 'ui_event_args', data: args }]); + // Push to uiEvents state for rendering in the UI + setUIEvents((prev) => [...prev, args]); + // Retornar sucesso para a chamada de função + sendClientEvent({ + type: "conversation.item.create", + item: { + type: "function_call_output", + call_id: functionCallParams.call_id, + output: JSON.stringify({ success: true }), + }, + }); + return; + } + + // Handling para open_camera - CRUCIAL PARA PRESERVAR O COMPORTAMENTO DO BALÃOZINHO + if (functionCallParams.name === "open_camera") { + console.log("[DEBUG] Open camera function call received"); + setDebugLogs((prev) => [...prev, { type: 'open_camera', data: { timestamp: new Date().toISOString() } }]); + + // IMPORTANTE: Adicionar um balãozinho em vez de abrir a câmera diretamente + // Isso mantém o comportamento atual onde o usuário precisa clicar no balão + addCameraRequest(50); // Posição padrão + + // Responder à chamada de função para não deixar a Marlene esperando + sendClientEvent({ + type: "conversation.item.create", + item: { + type: "function_call_output", + call_id: functionCallParams.call_id, + output: JSON.stringify({ + success: true, + timestamp: new Date().toISOString() + }), + }, + }); + + // Não chamar response.create para permitir que a Marlene continue falando + return; + } + + // Handle close_camera + if (functionCallParams.name === "close_camera") { + console.log("[DEBUG] Close camera function call received"); + setDebugLogs((prev) => [...prev, { type: 'close_camera', data: { timestamp: new Date().toISOString() } }]); + + sendClientEvent({ + type: "conversation.item.create", + item: { + type: "function_call_output", + call_id: functionCallParams.call_id, + output: JSON.stringify({ + success: true, + timestamp: new Date().toISOString() + }), + }, + }); + sendClientEvent({ type: "response.create" }); + return; + } + + // Handling para animate_loan_value + if (functionCallParams.name === "animate_loan_value") { + console.log("💰 ANIMATE_LOAN_VALUE chamada detectada!"); + + // Tente extrair informações dos argumentos + try { + const args = JSON.parse(functionCallParams.arguments || "{}"); + console.log("💰 Argumentos da função:", args); + + // Usar valor dos argumentos ou um valor padrão + const defaultValue = (12000).toLocaleString(locale, { minimumFractionDigits: 2, maximumFractionDigits: 2 }); + const valueToUse = args.amount || detectedAmount || `${currencySymbol} ${defaultValue}`; + console.log("💰 Valor a ser usado:", valueToUse); + + // Definir o valor no aplicativo + document.dispatchEvent(new CustomEvent('detect-loan-amount', { + detail: { amount: valueToUse } + })); + + // Aguardar um pouco para garantir que o valor foi definido + setTimeout(() => { + console.log("💰 Disparando animação após definir valor"); + document.dispatchEvent(new CustomEvent('loan-animation-trigger')); + }, 500); + } catch (e) { + console.error("Erro ao processar argumentos:", e); + + // Usar valor padrão em caso de erro + const fallbackDefault = (15000).toLocaleString(locale, { minimumFractionDigits: 2, maximumFractionDigits: 2 }); + const fallbackValue = detectedAmount || `${currencySymbol} ${fallbackDefault}`; + console.log("💰 Usando valor padrão:", fallbackValue); + + document.dispatchEvent(new CustomEvent('detect-loan-amount', { + detail: { amount: fallbackValue } + })); + + setTimeout(() => { + document.dispatchEvent(new CustomEvent('loan-animation-trigger')); + }, 500); + } + + // Retornar resultado da função + sendClientEvent({ + type: "conversation.item.create", + item: { + type: "function_call_output", + call_id: functionCallParams.call_id, + output: JSON.stringify({ + success: true, + timestamp: new Date().toISOString() + }), + }, + }); + + // Criar resposta após a animação + sendClientEvent({ type: "response.create" }); + return; + } + + // Existing transferAgents or custom tool logic const currentAgent = selectedAgentConfigSet?.find( (a) => a.name === selectedAgentName ); - addTranscriptBreadcrumb(`function call: ${functionCallParams.name}`, args); - if (currentAgent?.toolLogic?.[functionCallParams.name]) { const fn = currentAgent.toolLogic[functionCallParams.name]; - const fnResult = await fn(args, transcriptItems); - addTranscriptBreadcrumb( - `function call result: ${functionCallParams.name}`, - fnResult + const fnResult = await fn( + JSON.parse(functionCallParams.arguments), + [] ); - sendClientEvent({ type: "conversation.item.create", item: { @@ -60,17 +256,18 @@ export function useHandleServerEvent({ }, }); sendClientEvent({ type: "response.create" }); - } else if (functionCallParams.name === "transferAgents") { + return; + } + + if (functionCallParams.name === "transferAgents") { + // ... existing transferAgents logic ... + const args = JSON.parse(functionCallParams.arguments); const destinationAgent = args.destination_agent; - const newAgentConfig = - selectedAgentConfigSet?.find((a) => a.name === destinationAgent) || null; - if (newAgentConfig) { - setSelectedAgentName(destinationAgent); - } - const functionCallOutput = { - destination_agent: destinationAgent, - did_transfer: !!newAgentConfig, - }; + const newAgentConfig = selectedAgentConfigSet?.find( + (a) => a.name === destinationAgent + ); + if (newAgentConfig) setSelectedAgentName(destinationAgent); + const functionCallOutput = { destination_agent: destinationAgent, did_transfer: !!newAgentConfig }; sendClientEvent({ type: "conversation.item.create", item: { @@ -79,88 +276,153 @@ export function useHandleServerEvent({ output: JSON.stringify(functionCallOutput), }, }); - addTranscriptBreadcrumb( - `function call: ${functionCallParams.name} response`, - functionCallOutput - ); - } else { - const simulatedResult = { result: true }; - addTranscriptBreadcrumb( - `function call fallback: ${functionCallParams.name}`, - simulatedResult - ); + addTranscriptBreadcrumb(`function call: transferAgents response`, functionCallOutput); + return; + } - sendClientEvent({ - type: "conversation.item.create", + // Fallback for other function calls + const simulatedResult = { result: true }; + sendClientEvent({ + type: "conversation.item.create", item: { type: "function_call_output", call_id: functionCallParams.call_id, output: JSON.stringify(simulatedResult), }, }); - sendClientEvent({ type: "response.create" }); - } + sendClientEvent({ type: "response.create" }); }; - const handleServerEvent = (serverEvent: ServerEvent) => { + const addCameraRequest = (left: number) => { + // Função simplificada para adicionar solicitação de câmera + // No projeto completo, esta função provavelmente existe em outro componente + document.dispatchEvent(new CustomEvent('add-camera-request', { + detail: { left } + })); + }; + + const handleServerEvent = async (serverEvent: ServerEvent) => { + console.log("📡 Server event:", serverEvent.type); + setDebugLogs((prev) => [...prev, { type: 'server_event', data: serverEvent }]); + logServerEvent(serverEvent); switch (serverEvent.type) { - case "session.created": { + case "session.created": if (serverEvent.session?.id) { setSessionStatus("CONNECTED"); addTranscriptBreadcrumb( - `session.id: ${ - serverEvent.session.id - }\nStarted at: ${new Date().toLocaleString()}` + `session.id: ${serverEvent.session.id}\nStarted at: ${new Date().toLocaleString()}` ); } break; - } case "conversation.item.created": { - let text = - serverEvent.item?.content?.[0]?.text || - serverEvent.item?.content?.[0]?.transcript || - ""; - const role = serverEvent.item?.role as "user" | "assistant"; - const itemId = serverEvent.item?.id; - - if (itemId && transcriptItems.some((item) => item.itemId === itemId)) { - break; - } - - if (itemId && role) { - if (role === "user" && !text) { - text = "[Transcribing...]"; + // Handle message creation + if (serverEvent.item?.type === "message") { + const role = serverEvent.item.role; + const content = Array.isArray(serverEvent.item.content) + ? serverEvent.item.content[0]?.text || '' + : typeof serverEvent.item.content === 'string' + ? serverEvent.item.content + : ''; + + // Adicionar à transcrição se necessário + if (role && serverEvent.item.id) { + const isHidden = false; // ou alguma lógica para determinar se é oculto + addTranscriptMessage(serverEvent.item.id, role, content, isHidden); + } + + // NOVA FUNCIONALIDADE: Processar mensagens do usuário para extrair entidades + if (role === "user") { + // Processar a entrada do usuário para extrair entidades e determinar transições + const processResult = await processUserInputAsync(content); + + // Se recomenda mudança de estado + const currentState = exportContext().currentState; + if (processResult.recommendedState && + processResult.recommendedState !== currentState) { + + console.log("🔄 Transição de estado recomendada:", processResult.recommendedState); + recordStateChange(processResult.recommendedState); + + // Se o usuário forneceu múltiplas informações importantes, registrar um evento + addTranscriptBreadcrumb( + `Múltiplas informações detectadas: ${Object.keys(processResult.entities) + .filter(k => processResult.entities[k as keyof typeof processResult.entities]) + .join(', ')}`, + processResult + ); + } + + // Verificar se há valor monetário para animar + if (processResult.entities.requestedAmount) { + // Disparar evento para detectar valor monetário + document.dispatchEvent(new CustomEvent('detect-loan-amount', { + detail: { amount: processResult.entities.requestedAmount } + })); + } + } + + // Detectar padrões monetários em qualquer mensagem + const amount = detectMoneyAmount(content); + if (amount) { + console.log(`💰 Detected money amount in ${role} message:`, amount); + setDetectedAmount(amount); + + // Disparar evento para detect-loan-amount - será capturado pelo UIContext + document.dispatchEvent(new CustomEvent('detect-loan-amount', { + detail: { amount } + })); + + // Se for uma mensagem do agente mencionando o valor que detectamos do usuário, + // podemos também acionar a animação diretamente + if (role === 'assistant' && detectedAmount) { + // Para comparar valores, normalize-os primeiro (retirando R$, espaços e pontos) + const normalizeValue = (val: string) => { + return val.replace(/[R$\s\.]/g, '').replace(',', '.').toLowerCase(); + }; + + const normalizedDetectedAmount = normalizeValue(detectedAmount); + const normalizedAmount = normalizeValue(amount); + + // Verifique se o valor detectado é aproximadamente o mesmo + const detectedNum = parseFloat(normalizedDetectedAmount); + const currentNum = parseFloat(normalizedAmount); + + const closeEnough = Math.abs(detectedNum - currentNum) < 1 || + content.includes(detectedAmount); + + if (closeEnough) { + console.log("💰 Agent mentioned previously detected amount, triggering animation"); + setTimeout(() => { + document.dispatchEvent(new CustomEvent('loan-animation-trigger')); + }, 500); + } + } } - addTranscriptMessage(itemId, role, text); - } - break; - } - - case "conversation.item.input_audio_transcription.completed": { - const itemId = serverEvent.item_id; - const finalTranscript = - !serverEvent.transcript || serverEvent.transcript === "\n" - ? "[inaudible]" - : serverEvent.transcript; - if (itemId) { - updateTranscriptMessage(itemId, finalTranscript, false); } break; } case "response.audio_transcript.delta": { - const itemId = serverEvent.item_id; - const deltaText = serverEvent.delta || ""; - if (itemId) { - updateTranscriptMessage(itemId, deltaText, true); + // Analisar o delta de transcrição para detectar valores monetários + if (serverEvent.delta) { + const amount = detectMoneyAmount(serverEvent.delta); + if (amount) { + console.log("💰 Detected money amount in audio transcript:", amount); + setDetectedAmount(amount); + + // Disparar evento para detect-loan-amount + document.dispatchEvent(new CustomEvent('detect-loan-amount', { + detail: { amount } + })); + } } break; } - case "response.done": { + case "response.done": if (serverEvent.response?.output) { serverEvent.response.output.forEach((outputItem) => { if ( @@ -177,21 +439,53 @@ export function useHandleServerEvent({ }); } break; - } - case "response.output_item.done": { - const itemId = serverEvent.item?.id; - if (itemId) { - updateTranscriptItemStatus(itemId, "DONE"); + case "response.output_item.done": + if (serverEvent.item?.id) { + updateTranscriptItemStatus(serverEvent.item.id, "DONE"); } break; - } + + case "audio_started": + console.log("🔊 Audio started event received"); + setDebugLogs((prev) => [...prev, { type: 'audio_started', data: serverEvent }]); + break; + + case "audio_ended": + console.log("🔇 Audio ended event received"); + setDebugLogs((prev) => [...prev, { type: 'audio_ended', data: serverEvent }]); + break; default: break; } }; + // Efeito para processar eventos de função simulados + useEffect(() => { + if (!simulationMode) return; + + const handleFunctionDetected = (e: CustomEvent) => { + if (e.detail?.name && e.detail?.arguments) { + console.log("🧪 Processando chamada de função simulada:", e.detail); + + // Simular chamada de função + handleFunctionCall({ + name: e.detail.name, + arguments: e.detail.arguments, + call_id: `simulated-${Date.now()}` + }); + } + }; + + document.addEventListener('function-detected', handleFunctionDetected as EventListener); + + return () => { + document.removeEventListener('function-detected', handleFunctionDetected as EventListener); + }; + }, [simulationMode]); + + // Wrap in ref to avoid re-creating on each render const handleServerEventRef = useRef(handleServerEvent); handleServerEventRef.current = handleServerEvent; diff --git a/src/app/lib/realtimeConnection.ts b/src/app/lib/realtimeConnection.ts index df0a5e2d..29df13eb 100644 --- a/src/app/lib/realtimeConnection.ts +++ b/src/app/lib/realtimeConnection.ts @@ -1,44 +1,197 @@ +// src/app/lib/realtimeConnection.ts import { RefObject } from "react"; +// Helper to create an AbortSignal with a timeout. +// Uses AbortSignal.timeout when available (Node 18+, some browsers) +// and falls back to AbortController with setTimeout for compatibility. +function timeoutSignal(ms: number): AbortSignal { + const anyAbortSignal = AbortSignal as any; + if (typeof anyAbortSignal.timeout === "function") { + return anyAbortSignal.timeout(ms); + } + const controller = new AbortController(); + setTimeout(() => controller.abort(), ms); + return controller.signal; +} + export async function createRealtimeConnection( EPHEMERAL_KEY: string, audioElement: RefObject ): Promise<{ pc: RTCPeerConnection; dc: RTCDataChannel }> { - const pc = new RTCPeerConnection(); + console.log("Starting WebRTC connection setup..."); + + // Configuração aprimorada do RTCPeerConnection com servidores STUN e TURN + const pcConfig: RTCConfiguration = { + iceServers: [ + { urls: "stun:stun.l.google.com:19302" }, + { urls: "stun:stun1.l.google.com:19302" }, + { urls: "stun:stun2.l.google.com:19302" }, + // Adicione seus próprios servidores TURN aqui se disponíveis + // { + // urls: "turn:your-turn-server.com", + // username: "username", + // credential: "password" + // } + ], + iceCandidatePoolSize: 10, // Melhorar a coleta de candidatos ICE + iceTransportPolicy: 'all' // Permitir todos os tipos de conexões + }; + + const pc = new RTCPeerConnection(pcConfig); + + // Configuração avançada para melhorar a qualidade de áudio/vídeo + try { + pc.setConfiguration({ + ...pcConfig, + sdpSemantics: 'unified-plan' + } as RTCConfiguration & { sdpSemantics?: string }); + } catch (e) { + console.warn("Advanced config not supported:", e); + } + // Configurar evento de track com melhor tratamento de erros pc.ontrack = (e) => { + console.log("Track received from server"); if (audioElement.current) { + if (audioElement.current.srcObject !== e.streams[0]) { audioElement.current.srcObject = e.streams[0]; + audioElement.current.autoplay = true; + + // Melhor tratamento de erros na reprodução de áudio + audioElement.current.play() + .then(() => console.log("Audio playback started successfully")) + .catch(err => { + console.error("Failed to start audio playback:", err); + // Tentar novamente após interação do usuário + const retryPlayback = () => { + audioElement.current?.play() + .then(() => { + console.log("Audio playback started on user interaction"); + document.removeEventListener("click", retryPlayback); + }) + .catch(e => console.error("Still failed to play audio:", e)); + }; + document.addEventListener("click", retryPlayback, { once: true }); + }); + } + } else { + console.warn("No audio element available to attach track"); } }; - const ms = await navigator.mediaDevices.getUserMedia({ audio: true }); - pc.addTrack(ms.getTracks()[0]); - - const dc = pc.createDataChannel("oai-events"); + // Tratamento de eventos de estado de conexão + pc.oniceconnectionstatechange = () => { + console.log("ICE connection state changed:", pc.iceConnectionState); + }; - const offer = await pc.createOffer(); - await pc.setLocalDescription(offer); + // Solicitar acesso ao microfone com tratamento de erros aprimorado + console.log("Requesting microphone access..."); + try { + const ms = await navigator.mediaDevices.getUserMedia({ + audio: { + echoCancellation: true, + noiseSuppression: true, + autoGainControl: true + } + }); + console.log("Microphone access granted"); + + // Adicionar track de áudio + ms.getTracks().forEach(track => { + pc.addTrack(track, ms); + console.log(`Added track: ${track.kind}`); + }); + } catch (err) { + console.error("Failed to get microphone access:", err); + const message = err instanceof Error ? err.message : String(err); + throw new Error(`Microphone access denied: ${message}`); + } - const baseUrl = "https://api.openai.com/v1/realtime"; - const model = "gpt-4o-realtime-preview-2024-12-17"; - - const sdpResponse = await fetch(`${baseUrl}?model=${model}`, { - method: "POST", - body: offer.sdp, - headers: { - Authorization: `Bearer ${EPHEMERAL_KEY}`, - "Content-Type": "application/sdp", - }, + // Criar canal de dados com configurações otimizadas + const dc = pc.createDataChannel("oai-events", { + ordered: true, + maxRetransmits: 3 // Limitar número de retransmissões para mensagens mais recentes }); + console.log("Data channel created"); - const answerSdp = await sdpResponse.text(); - const answer: RTCSessionDescriptionInit = { - type: "answer", - sdp: answerSdp, + // Criar oferta SDP com preferências para áudio de alta qualidade + console.log("Creating offer..."); + const offerOptions = { + offerToReceiveAudio: true, + offerToReceiveVideo: false, + voiceActivityDetection: true }; + + const offer = await pc.createOffer(offerOptions); + + // Melhorar a qualidade de áudio + if (offer.sdp) { + let sdp = offer.sdp; + // Aumentar prioridade de áudio + sdp = sdp.replace('a=mid:0', 'a=mid:0\na=content:main'); + + // Definir a descrição local com SDP aprimorado + const enhancedOffer = new RTCSessionDescription({ + type: 'offer', + sdp: sdp + }); + + await pc.setLocalDescription(enhancedOffer); + } else { + await pc.setLocalDescription(offer); + } + + console.log("Local description set"); + + // Fazer a solicitação para a API com tratamento de erro aprimorado + console.log("Making request to OpenAI Realtime API..."); + const baseUrl = "https://api.openai.com/v1/realtime"; + const model = "gpt-4o-realtime-preview"; // Usando apenas o modelo base sem a data + + try { + // Log para debug + console.log("SDP offer being sent:", pc.localDescription?.sdp?.substring(0, 100) + "..."); + + const sdpResponse = await fetch(`${baseUrl}?model=${model}`, { + method: "POST", + body: pc.localDescription?.sdp, + headers: { + Authorization: `Bearer ${EPHEMERAL_KEY}`, + "Content-Type": "application/sdp", + }, + // Adicionar timeout e melhorar tolerância a falhas de rede + signal: timeoutSignal(20000) // 20 segundos de timeout + }); + + if (!sdpResponse.ok) { + const errorText = await sdpResponse.text(); + console.error("API response error:", sdpResponse.status, errorText); + throw new Error(`API returned ${sdpResponse.status}: ${errorText}`); + } - await pc.setRemoteDescription(answer); + const answerSdp = await sdpResponse.text(); + console.log("Received SDP answer from server:", answerSdp.substring(0, 100) + "..."); + + const answer: RTCSessionDescriptionInit = { + type: "answer", + sdp: answerSdp, + }; - return { pc, dc }; -} \ No newline at end of file + await pc.setRemoteDescription(answer); + console.log("Remote description set successfully"); + + return { pc, dc }; + } catch (error) { + console.error("Realtime connection error:", error); + + // Limpar recursos em caso de erro + pc.getSenders().forEach(sender => { + if (sender.track) { + sender.track.stop(); + } + }); + + pc.close(); + throw error; + } +} \ No newline at end of file diff --git a/src/app/loanSimulator/index.ts b/src/app/loanSimulator/index.ts new file mode 100644 index 00000000..8e7aa01b --- /dev/null +++ b/src/app/loanSimulator/index.ts @@ -0,0 +1,400 @@ +// src/app/loanSimulator/index.ts + +/** + * Simulador de sistema bancário para empréstimos consignados. + * Gera dados fictícios e ofertas personalizadas do Itaú. + */ + +export interface Beneficiario { + nome: string; + idade: number; + cpf: string; + tipoBeneficio: string; + dataConcessao: string; +} + +export interface Beneficio { + numero: string; + valor: number; + margemTotal: number; + margemComprometida: number; + margemDisponivel: number; + banco: string; +} + +export interface Credito { + score: number; + contratacoes: number; + restricoes: string | null; + perfilRisco: "baixo" | "medio" | "alto"; + taxaBase: number; + valorMaximoAprovado: number; +} + +export interface OfertaItau { + nome: string; + descricao: string; + reducaoTaxa: number; // em pontos percentuais (ex: 0.15 => 0.15%) + valorMinimo?: number; +} + +export interface ConsultaBeneficio { + beneficiario: Beneficiario; + beneficio: Beneficio; + credito: Credito; + ofertasItau: OfertaItau[]; + taxasPorPrazo: Record; +} + +const sobrenomes = [ + "Silva", + "Santos", + "Oliveira", + "Souza", + "Pereira", + "Ferreira", + "Almeida", + "Costa", +]; + +const bancos = [ + "Itaú", + "Bradesco", + "Caixa", + "Banco do Brasil", + "Santander", + "Nubank", +]; + +const benefitCache = new Map(); + +function randomInt(min: number, max: number): number { + return Math.floor(Math.random() * (max - min + 1)) + min; +} + +function randomFloat(min: number, max: number, decimals = 2): number { + const val = Math.random() * (max - min) + min; + return parseFloat(val.toFixed(decimals)); +} + +function gerarCPF(): string { + const n = [] as number[]; + for (let i = 0; i < 9; i++) n.push(randomInt(0, 9)); + const d1 = calcularDigito(n, 10); + const d2 = calcularDigito([...n, d1], 11); + return `${n[0]}${n[1]}${n[2]}.${n[3]}${n[4]}${n[5]}.${n[6]}${n[7]}${n[8]}-${d1}${d2}`; +} + +function calcularDigito(nums: number[], factor: number): number { + const total = nums.reduce((sum, num) => sum + num * factor--, 0); + const rest = (total * 10) % 11; + return rest === 10 ? 0 : rest; +} + +function escolherBanco(): string { + return Math.random() < 0.4 ? "Itaú" : bancos[randomInt(0, bancos.length - 1)]; +} + +function escolherTipoBeneficio(): string { + const tipos = [ + "Aposentadoria por Tempo de Contribuição", + "Aposentadoria por Idade", + "Pensão por Morte", + "BPC/LOAS", + ]; + return tipos[randomInt(0, tipos.length - 1)]; +} + +function definirPerfilRisco(score: number): "baixo" | "medio" | "alto" { + if (score >= 701) return "baixo"; + if (score >= 501) return "medio"; + return "alto"; +} + +function taxaBasePorPerfil(perfil: "baixo" | "medio" | "alto"): number { + switch (perfil) { + case "baixo": + return randomFloat(1.6, 1.75); + case "medio": + return randomFloat(1.75, 1.85); + default: + return randomFloat(1.85, 1.98); + } +} + +function ajustarPorTipoBeneficio( + tipo: string, + taxa: number, + valorMaximo: number +): { taxa: number; valorMaximo: number } { + if (tipo.includes("Tempo")) { + return { taxa: taxa - 0.05, valorMaximo: valorMaximo * 1.1 }; + } + if (tipo.includes("BPC")) { + return { taxa: taxa + 0.05, valorMaximo: valorMaximo * 0.8 }; + } + return { taxa, valorMaximo }; +} + +export function consultarBeneficio( + numeroBeneficio: string, + nomeCliente: string +): ConsultaBeneficio { + const cached = benefitCache.get(numeroBeneficio); + if (cached) return cached; + + const nomeParts = nomeCliente.trim().split(/\s+/); + const nomeCompleto = + nomeParts.length > 1 + ? nomeCliente.trim() + : `${nomeCliente.trim()} ${sobrenomes[randomInt(0, sobrenomes.length - 1)]}`; + + const idade = randomInt(60, 90); + const cpf = gerarCPF(); + const tipoBeneficio = escolherTipoBeneficio(); + const dataConcessao = new Date( + randomInt(2000, 2018), + randomInt(0, 11), + randomInt(1, 28) + ) + .toISOString() + .split("T")[0]; + + const valorBeneficio = randomFloat(1412, 7786.02, 2); + const margemTotal = parseFloat((valorBeneficio * 0.3).toFixed(2)); + const margemComprometida = parseFloat( + randomFloat(0, valorBeneficio * 0.25).toFixed(2) + ); + const margemDisponivel = parseFloat( + (margemTotal - margemComprometida).toFixed(2) + ); + const banco = escolherBanco(); + + const score = randomInt(300, 900); + const contratacoes = randomInt(0, 3); + const restricoes = Math.random() < 0.2 ? "Restrições encontradas" : null; + const perfilRisco = definirPerfilRisco(score); + let taxaBase = taxaBasePorPerfil(perfilRisco); + let valorMaximoAprovado = parseFloat( + (margemDisponivel * randomFloat(15, 25)).toFixed(2) + ); + + const ajuste = ajustarPorTipoBeneficio( + tipoBeneficio, + taxaBase, + valorMaximoAprovado + ); + taxaBase = ajuste.taxa; + valorMaximoAprovado = ajuste.valorMaximo; + + const ofertasItau = obterOfertasItau({ + banco, + contratacoes, + }); + + const taxasPorPrazo = calcularTaxasPorPrazo(taxaBase, ofertasItau); + + const result: ConsultaBeneficio = { + beneficiario: { + nome: nomeCompleto, + idade, + cpf, + tipoBeneficio, + dataConcessao, + }, + beneficio: { + numero: numeroBeneficio, + valor: valorBeneficio, + margemTotal, + margemComprometida, + margemDisponivel, + banco, + }, + credito: { + score, + contratacoes, + restricoes, + perfilRisco, + taxaBase, + valorMaximoAprovado, + }, + ofertasItau, + taxasPorPrazo, + }; + + benefitCache.set(numeroBeneficio, result); + return result; +} + +/** + * Versão assíncrona que consulta a rota /api/loan/consult para obter dados + * gerados por LLM. Quando a variável NEXT_PUBLIC_USE_LLM_BACKEND estiver + * habilitada no ambiente, utiliza essa rota. Caso contrário, recai no + * gerador aleatório acima. + */ +export async function consultarBeneficioAsync( + numeroBeneficio: string, + nomeCliente: string +): Promise { + if (process.env.NEXT_PUBLIC_USE_LLM_BACKEND === "true") { + try { + const resp = await fetch("/api/loan/consult", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ numeroBeneficio, nomeCliente }), + }); + if (resp.ok) { + return (await resp.json()) as ConsultaBeneficio; + } + console.error("LLM backend error", await resp.text()); + } catch (err) { + console.error("Failed to fetch LLM backend", err); + } + } + return consultarBeneficio(numeroBeneficio, nomeCliente); +} + +export function obterOfertasItau({ + banco, + contratacoes, +}: { + banco: string; + contratacoes: number; +}): OfertaItau[] { + const ofertas: OfertaItau[] = []; + if (banco === "Itaú") { + ofertas.push({ + nome: "Oferta Itaú Fidelidade", + descricao: "Desconto para quem recebe no Itaú", + reducaoTaxa: 0.15, + }); + } + if (contratacoes === 0) { + ofertas.push({ + nome: "Campanha Novo Cliente", + descricao: "Desconto para primeira contratação", + reducaoTaxa: 0.1, + }); + } + if (Math.random() < 0.5) { + ofertas.push({ + nome: "Itaú Digital", + descricao: "Assinatura digital com desconto", + reducaoTaxa: 0.05, + }); + } + return ofertas; +} + +function calcularTaxasPorPrazo( + taxaBase: number, + ofertas: OfertaItau[] +): Record { + const reducaoTotal = ofertas.reduce((acc, o) => acc + o.reducaoTaxa, 0); + const base = taxaBase - reducaoTotal; + + const ajustesPrazo: Record = { + "36": 0.1, + "48": 0.05, + "60": 0, + "72": -0.05, + "84": -0.08, + }; + + const result: Record = {}; + Object.entries(ajustesPrazo).forEach(([prazo, ajuste]) => { + const nominal = parseFloat((base + ajuste).toFixed(2)); + result[prazo] = { + taxaNominal: nominal, + taxaEfetiva: parseFloat((nominal * 12).toFixed(2)), + cet: parseFloat((nominal * 13).toFixed(2)), + }; + }); + return result; +} + +export function calcularTaxaPersonalizada( + perfil: ConsultaBeneficio, + valor: number, + prazo: number +): number { + const taxas = perfil.taxasPorPrazo[prazo.toString()]; + let taxa = taxas.taxaNominal; + + if (valor >= 15000) { + taxa -= 0.08; + } + if (prazo === 72 || prazo === 84) { + taxa -= 0.07; + } + return parseFloat(taxa.toFixed(2)); +} + +function calcularParcela(valor: number, taxaMensal: number, prazo: number): number { + const i = taxaMensal / 100; + const parcela = valor * (i / (1 - Math.pow(1 + i, -prazo))); + return parseFloat(parcela.toFixed(2)); +} + +export function simularEmprestimo( + numeroBeneficio: string, + nomeCliente: string, + valor: number, + prazo: number +) { + const perfil = consultarBeneficio(numeroBeneficio, nomeCliente); + const taxa = calcularTaxaPersonalizada(perfil, valor, prazo); + const parcela = calcularParcela(valor, taxa, prazo); + const total = parseFloat((parcela * prazo).toFixed(2)); + return { + valor, + prazo, + taxa, + parcela, + total, + perfil, + }; +} + +export function compararOpcoes(sim1: any, sim2: any): string { + const menorParcela = sim1.parcela < sim2.parcela ? sim1 : sim2; + const texto = + `Comparando as opções, a parcela de R$ ${menorParcela.parcela.toFixed(2)} ` + + `em ${menorParcela.prazo} meses é mais vantajosa.`; + return texto; +} + +export function calcularApresentacaoMarlene( + nomeCliente: string, + tratamentoPreferido: string, + numeroBeneficio: string, + valorSolicitado: number, + prazoPreferido: number | null = null +) { + const perfil = consultarBeneficio(numeroBeneficio, nomeCliente); + const prazos = prazoPreferido ? [prazoPreferido] : [36, 48, 60, 72, 84]; + + const opcoes = prazos.map((prazo) => { + const simulacao = simularEmprestimo( + numeroBeneficio, + nomeCliente, + valorSolicitado, + prazo + ); + const oferta = perfil.ofertasItau.map((o) => o.nome).join(", "); + return { + prazo, + parcela: simulacao.parcela, + total: simulacao.total, + texto: + `${tratamentoPreferido} ${nomeCliente}, ` + + `pegando R$ ${valorSolicitado.toFixed(2)}, ` + + `pagaria cerca de R$ ${simulacao.parcela.toFixed(2)} por ${prazo} meses.` + + (oferta + ? ` Aproveitando ${oferta}, a condição fica melhor.` + : ""), + }; + }); + + return { perfil, opcoes }; +} diff --git a/src/app/page.tsx b/src/app/page.tsx index 3b2efe0b..4c214825 100644 --- a/src/app/page.tsx +++ b/src/app/page.tsx @@ -1,14 +1,99 @@ -import React from "react"; -import { TranscriptProvider } from "@/app/contexts/TranscriptContext"; -import { EventProvider } from "@/app/contexts/EventContext"; -import App from "./App"; +// src/app/simple/page.tsx +"use client"; + +import React, { useEffect } from "react"; +import "@/app/styles/simple-page-styles.css"; +import { ConnectionProvider } from "./simple/contexts/ConnectionContext"; +import { CameraProvider } from "./simple/contexts/CameraContext"; +import { VerificationProvider } from "./simple/contexts/VerificationContext"; +import { UIProvider, useUI } from "./simple/contexts/UIContext"; +import PhoneMockup from "./simple/components/PhoneMockup"; +import { useConnection } from "./simple/contexts/ConnectionContext"; + +// Componente para lidar com o evento global +const LoanAnimationHandler: React.FC = () => { + const { loanState, showLoanAnimation } = useUI(); + + useEffect(() => { + // Handler para o evento global + const handleLoanAnimationTrigger = () => { + console.log("Global loan animation event captured"); + if (loanState.requestedAmount) { + showLoanAnimation(); + } else { + console.warn("No loan amount set when animation was triggered"); + } + }; + + // Adicionar listener + document.addEventListener('loan-animation-trigger', handleLoanAnimationTrigger); + + // Remover listener na desmontagem + return () => { + document.removeEventListener('loan-animation-trigger', handleLoanAnimationTrigger); + }; + }, [loanState.requestedAmount, showLoanAnimation]); + + return null; // Componente não renderiza nada visualmente +}; + +// Componente para logar mudanças de conexão +const ConnectionLogger: React.FC = () => { + const { state } = useConnection(); + useEffect(() => { + console.log('[ConnectionLogger] state', { + status: state.status, + sessionId: state.sessionId, + error: state.error?.message, + }); + }, [state.status, state.sessionId, state.error]); + return null; +}; + +// Componente principal da página +const SimplePage: React.FC = () => { + useEffect(() => { + // Debug logging + console.log("SimplePage mounted"); + // console.log( + // "API Key format check:", + // process.env.NEXT_PUBLIC_OPENAI_API_KEY + // ? `Key starts with: ${process.env.NEXT_PUBLIC_OPENAI_API_KEY.substring(0, 3)}...` + // : "No API key found" + // ); + + + // Intercept Audio playback events + const originalPlay = HTMLAudioElement.prototype.play; + HTMLAudioElement.prototype.play = function() { + console.log("Audio play attempted", this); + return originalPlay.apply(this); + }; + + return () => { + // Restore original function + HTMLAudioElement.prototype.play = originalPlay; + }; + }, []); -export default function Page() { return ( - - - - - + + + + + + {/* Componente handler para eventos globais */} + + +
+
+ +
+ + + + ); -} +}; + +export default SimplePage; \ No newline at end of file diff --git a/src/app/playground/contexts/MockConnectionContext.tsx b/src/app/playground/contexts/MockConnectionContext.tsx new file mode 100644 index 00000000..b3e4d31f --- /dev/null +++ b/src/app/playground/contexts/MockConnectionContext.tsx @@ -0,0 +1,109 @@ +"use client"; + +import React, { useCallback, useRef, useState } from "react"; +import { ConnectionState } from "../../simple/types"; +import { ConnectionContext } from "../../simple/contexts/ConnectionContext"; + + +// Simple mock provider that relies solely on browser APIs. No network requests +// are made and therefore no API tokens are consumed. It emulates a very basic +// conversation loop so that the Playground page can be used completely offline. + +export const MockConnectionProvider: React.FC<{ children: React.ReactNode }> = ({ children }) => { + const [state, setState] = useState({ + status: "disconnected", + sessionId: null, + error: null, + }); + + const listenersRef = useRef void>>([]); + const recognitionRef = useRef(null); + + const dispatch = useCallback((message: any) => { + listenersRef.current.forEach((l) => { + try { l(message); } catch (err) { console.error(err); } + }); + }, []); + + const speak = useCallback((text: string) => { + dispatch({ type: 'conversation.item.created', item: { role: 'assistant', content: text } }); + const utter = new SpeechSynthesisUtterance(text); + utter.lang = 'pt-BR'; + utter.onstart = () => dispatch({ type: 'audio_started' }); + utter.onend = () => dispatch({ type: 'audio_ended' }); + window.speechSynthesis.speak(utter); + }, [dispatch]); + + const startRecognition = useCallback(() => { + const SpeechRec: any = (window as any).SpeechRecognition || (window as any).webkitSpeechRecognition; + if (!SpeechRec) return; + const rec: any = new SpeechRec(); + rec.lang = 'pt-BR'; + rec.interimResults = false; + rec.onstart = () => dispatch({ type: 'input_audio_buffer.started' }); + rec.onerror = () => { + dispatch({ type: 'input_audio_buffer.stopped' }); + recognitionRef.current = null; + }; + rec.onresult = (e: any) => { + const transcript = Array.from(e.results).map((r: any) => r[0].transcript).join(' '); + dispatch({ type: 'input_audio_buffer.stopped' }); + dispatch({ type: 'conversation.item.created', item: { role: 'user', content: transcript } }); + speak(`Você disse: ${transcript}`); + }; + rec.onend = () => { + if (recognitionRef.current) { + dispatch({ type: 'input_audio_buffer.stopped' }); + recognitionRef.current = null; + } + }; + recognitionRef.current = rec; + rec.start(); + }, [dispatch, speak]); + + const connect = useCallback(async () => { + if (state.status !== 'disconnected') return; + setState({ status: 'connected', sessionId: 'mock', error: null }); + startRecognition(); + }, [state.status, startRecognition]); + + const disconnect = useCallback(() => { + if (recognitionRef.current) { + recognitionRef.current.stop(); + recognitionRef.current = null; + } + setState((prev) => ({ ...prev, status: 'disconnected' })); + }, []); + + const sendMessage = useCallback((message: any): boolean => { + if (message?.type === 'response.create') { + startRecognition(); + return true; + } + if (message?.item?.role === 'user') { + const content = typeof message.item.content === 'string' + ? message.item.content + : Array.isArray(message.item.content) + ? message.item.content.map((c: any) => c.text || '').join(' ') + : ''; + dispatch({ type: 'conversation.item.created', item: { role: 'user', content } }); + speak(`Você disse: ${content}`); + return true; + } + dispatch(message); + return true; + }, [dispatch, speak, startRecognition]); + + const onAgentMessage = (listener: (message: any) => void) => { + listenersRef.current.push(listener); + return () => { + listenersRef.current = listenersRef.current.filter((l) => l !== listener); + }; + }; + + return ( + + {children} + + ); +}; diff --git a/src/app/playground/contexts/MockVerificationContext.tsx b/src/app/playground/contexts/MockVerificationContext.tsx new file mode 100644 index 00000000..e106fe7b --- /dev/null +++ b/src/app/playground/contexts/MockVerificationContext.tsx @@ -0,0 +1,49 @@ +"use client"; + +import React, { useState } from "react"; +import { VerificationState } from "../../simple/types"; +import { VerificationContext } from "../../simple/contexts/VerificationContext"; + +const initialState: VerificationState = { + active: false, + step: 0, + startTime: null, + completionTime: null, + error: null, + faceDetectionStatus: { + detected: false, + centered: false, + verified: false, + }, + pendingMessages: [], +}; + + +export const MockVerificationProvider: React.FC<{ children: React.ReactNode }> = ({ children }) => { + const [state, setState] = useState(initialState); + + const startVerification = () => { + setState(prev => ({ + ...prev, + active: true, + step: 1, + startTime: Date.now(), + })); + }; + + const cancelVerification = () => { + setState(initialState); + }; + + const processPendingMessages = () => { + setState(prev => ({ ...prev, pendingMessages: [] })); + }; + + return ( + + {children} + + ); +}; diff --git a/src/app/playground/page.tsx b/src/app/playground/page.tsx new file mode 100644 index 00000000..33a1dcc4 --- /dev/null +++ b/src/app/playground/page.tsx @@ -0,0 +1,81 @@ +"use client"; + +import React, { useEffect } from "react"; +import "@/app/styles/simple-page-styles.css"; +import { MockConnectionProvider } from "./contexts/MockConnectionContext"; +import { SimulationProvider } from "../simple/contexts/SimulationContext"; +import { CameraProvider } from "../simple/contexts/CameraContext"; +import { MockVerificationProvider } from "./contexts/MockVerificationContext"; +import { UIProvider, useUI } from "../simple/contexts/UIContext"; +import PhoneMockup from "../simple/components/PhoneMockup"; +import dynamic from 'next/dynamic'; +// load SimulationToggle and SimulationPanel only on client +const SimulationToggle = dynamic( + () => import('../simple/components/SimulationToggle'), + { ssr: false } +); +const SimulationPanel = dynamic( + () => import('../simple/components/SimulationPanel'), + { ssr: false } +); +import { useRouter } from "next/navigation"; + +// Handler for loan animation events within Playground +const LoanAnimationHandler: React.FC = () => { + const { loanState, showLoanAnimation } = useUI(); + useEffect(() => { + const handleLoanAnimationTrigger = () => { + if (loanState.requestedAmount) showLoanAnimation(); + }; + document.addEventListener('loan-animation-trigger', handleLoanAnimationTrigger); + return () => { + document.removeEventListener('loan-animation-trigger', handleLoanAnimationTrigger); + }; + }, [loanState.requestedAmount, showLoanAnimation]); + return null; +}; + +const PlaygroundPage: React.FC = () => { + const router = useRouter(); + useEffect(() => { + console.log("PlaygroundPage mounted (using mock contexts)"); + }, []); + return ( + + + + + + +
+
+ + + +
+ {/* Button to navigate to /three to view the 3D coin */} +
+ +
+ + + + + + ); +}; + +export default PlaygroundPage; \ No newline at end of file diff --git a/src/app/simple/components/AnimatedFooter.tsx b/src/app/simple/components/AnimatedFooter.tsx new file mode 100644 index 00000000..4c831c99 --- /dev/null +++ b/src/app/simple/components/AnimatedFooter.tsx @@ -0,0 +1,33 @@ +// src/app/simple/components/AnimatedFooter.tsx +import React, { useEffect } from 'react'; +import { useUI } from '../contexts/UIContext'; + +const AnimatedFooter: React.FC = () => { + const { currentSpeaker, loanState } = useUI(); + + // Determinar a classe com base em quem está falando + let speakingClass = ""; + + if (loanState.showAnimation) { + // Se a animação de valor estiver visível, priorizar coloração para isso + speakingClass = "loan-animation"; + } else if (currentSpeaker === 'agent') { + speakingClass = "agent-speaking"; + } else if (currentSpeaker === 'user') { + speakingClass = "user-speaking"; + } + + // Logar sempre que a classe do rodapé mudar + useEffect(() => { + if (speakingClass) { + console.log("🎨 Classe do rodapé:", speakingClass); + } else { + console.log("🎨 Rodapé sem classe de fala"); + } + }, [speakingClass]); + return ( +
+ ); +}; + +export default AnimatedFooter; diff --git a/src/app/simple/components/BrowserNavbar.tsx b/src/app/simple/components/BrowserNavbar.tsx new file mode 100644 index 00000000..176e3050 --- /dev/null +++ b/src/app/simple/components/BrowserNavbar.tsx @@ -0,0 +1,39 @@ +// src/app/simple/components/BrowserNavbar.tsx +import React from 'react'; + +const BrowserNavbar: React.FC = () => { + return ( +
+
+ +
+
+
+ + + + + formalizacao.com.br +
+
+
+ + +
+
+ ); +}; + +export default BrowserNavbar; \ No newline at end of file diff --git a/src/app/simple/components/CameraView.tsx b/src/app/simple/components/CameraView.tsx new file mode 100644 index 00000000..06a4d443 --- /dev/null +++ b/src/app/simple/components/CameraView.tsx @@ -0,0 +1,114 @@ +// src/app/simple/components/CameraView.tsx +import React, { RefObject, useEffect, useState } from 'react'; +import { useCamera } from '../contexts/CameraContext'; +import { useVerification } from '../contexts/VerificationContext'; + +interface CameraViewProps { + videoRef: RefObject; +} + +const CameraView: React.FC = ({ videoRef }) => { + const { closeCamera, state: cameraState } = useCamera(); + const { state: verificationState, cancelVerification } = useVerification(); + const [showCheckmark, setShowCheckmark] = useState(false); + + // Determine positioning guide style based on face detection status + const getFaceGuideStyle = () => { + if (!cameraState.faceDetected) { + return { borderColor: 'rgba(255, 255, 255, 0.7)' }; // Initial state - white + } + + // If face is detected but not properly positioned + if (cameraState.facePosition) { + // Check if face is centered and good size + const { x, y, size } = cameraState.facePosition; + const isCentered = Math.abs(x) < 0.2 && Math.abs(y) < 0.2; + const isGoodSize = size > 0.1; + + if (isCentered && isGoodSize) { + if (verificationState.step === 4) { + return { borderColor: '#00FF7F', boxShadow: '0 0 0 4px #00FF7F, 0 0 20px rgba(0, 255, 127, 0.7)' }; // Success - green + } + return { borderColor: '#ADFF2F', boxShadow: '0 0 10px rgba(173, 255, 47, 0.5)' }; // Ready - yellow-green + } + + return { borderColor: 'rgba(255, 255, 255, 0.9)' }; // Detected but not centered - brighter white + } + + return { borderColor: 'rgba(255, 255, 255, 0.7)' }; // Default - white + }; + + // Update checkmark visibility based on verification state + useEffect(() => { + // Detectar quando a verificação foi concluída com sucesso + if (verificationState.step === 4 && !showCheckmark) { + // Mostrar o checkmark quando a verificação estiver concluída + setShowCheckmark(true); + + // Esconder o checkmark após alguns segundos antes de fechar a câmera + setTimeout(() => { + setShowCheckmark(false); + }, 2000); + } + }, [verificationState.step, showCheckmark]); + + const handleClose = () => { + // Cancela a verificação se estiver em andamento + if (verificationState.active) { + cancelVerification(); + } else { + closeCamera(); + } + }; + + // Determinar a classe da borda baseado no estado da verificação + const getBorderClass = () => { + if (verificationState.step === 4) { + return 'verification-success'; + } + return ''; + }; + + return ( +
+ {/* Invertendo a câmera horizontal com transform: scaleX(-1) */} +