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wmakeouthill / repository
Portfólio full-stack (Java 17 + Spring Boot + Angular 20) com chat com IA. Backend busca conteúdo dinamicamente do GitHub. Deploy: GitHub Pages via Actions e aplicação completa no Google Cloud Run via CI/CD.
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Este repositório contém o portfólio profissional do Wesley Correia (wmakeouthill), composto por:
certificados-wesley).frontend-maven-plugin já configurado)docs/)flowchart LR
subgraph Browser
A[SPA Angular 20<br/>(hero, projects, chat-widget, contact)]
end
subgraph Backend[Backend Spring Boot 3.2.3]
B1[ChatController<br/>\n/api/chat]
B2[ContactController<br/>\n/api/contact]
B3[ProjectsController<br/>\n/api/projects]
B4[SpaController<br/>\nServiço do build Angular]
UC_CHAT[ChatUseCase]
UC_CONTACT[EnviarEmailContatoUseCase]
UC_PROJECTS[ListarProjetosGithubUseCase<br/>+ ObterMarkdownProjetoUseCase]
B1 --> UC_CHAT
B2 --> UC_CONTACT
B3 --> UC_PROJECTS
end
subgraph Domínio
D1[PortfolioPromptService<br/>\nMonta system prompt com markdowns]
D2[ContextSearchService<br/>\nBusca trechos relevantes dos .md]
end
subgraph Infra[Infraestrutura / Adaptadores]
AI[OpenAIAdapter<br/>\nAIChatPort + Fallback]
GH[GithubApiAdapter<br/>\nProjetos + Linguagens]
GH_CONTENT[GithubPortfolioContentAdapter<br/>\nBusca markdowns do GitHub]
CACHE[GithubContentCache<br/>\nTTL 5min]
MAIL[GmailAdapter]
BUDGET[TokenBudgetService<br/>\nOtimiza tokens]
end
subgraph Cloud[Google Cloud]
SM[(Secret Manager)]
CR[(Cloud Run)]
OA[(OpenAI API)]
GITHUB[(GitHub API)]
end
A <-- HTTP --> B1
A <-- HTTP --> B2
A <-- HTTP --> B3
A <-- HTTP --> B4
UC_CHAT --> D1
UC_CHAT --> D2
UC_CHAT --> BUDGET
D1 --> GH_CONTENT
D2 --> GH_CONTENT
BUDGET --> AI
UC_CONTACT --> MAIL
UC_PROJECTS --> GH
AI --> OA
GH --> GITHUB
GH_CONTENT --> CACHE
GH_CONTENT --> GITHUB
MAIL --> SM
Backend --> CR
CR --> Browser
.
├── backend/ # API em Spring Boot + servidor do SPA
│ ├── src/main/java/com/wmakeouthill/portfolio
│ │ ├── application/ # DTOs, ports e use cases (camada de aplicação)
│ │ ├── domain/ # Entidades, modelos e serviços de domínio
│ │ └── infrastructure/ # Adaptadores Web, OpenAI, GitHub, Email, etc.
│ ├── src/main/resources/
│ │ ├── application.properties # Configuração principal
│ │ └── static/ # Build do Angular (copiado no build)
│ │ # Nota: Markdowns são buscados dinamicamente do GitHub (repo: certificados-wesley)
│ └── pom.xml # Build + integração com frontend
│
├── frontend/ # Aplicação Angular 20 (SPA do portfólio)
│ ├── src/app/
│ │ ├── components/ # Seções do portfólio (standalone)
│ │ │ ├── header/
│ │ │ ├── hero/
│ │ │ ├── about/
│ │ │ ├── skills/
│ │ │ ├── experience/
│ │ │ ├── education/
│ │ │ ├── projects/
│ │ │ ├── certifications/
│ │ │ ├── contact/
│ │ │ ├── pdf-viewer/
│ │ │ ├── cv-modal/
│ │ │ ├── readme-modal/
│ │ │ ├── chat-widget/ # Chat com IA + composables
│ │ │ └── footer/
│ │ ├── services/ # GitHub, E‑mail, Markdown, Chat IA
│ │ ├── models/ # Interfaces TypeScript
│ │ └── utils/ # Utils (API URL, session‑storage, etc.)
│ ├── public/ # Assets, ícones, currículos, etc.
│ └── package.json # Scripts e dependências (Angular 20)
│
├── docs/ # Artefatos estáticos usados pelo GitHub Pages
├── deploy.sh / Dockerfile.* # Scripts de build e deploy
└── README.md # (este arquivo)
O backend segue uma arquitetura limpa (application / domain / infrastructure) e expõe as seguintes APIs principais:
Chat com IA
POST /api/chat
ChatRequest (mensagem do usuário + metadados)ChatResponse (resposta da IA)X-Session-ID para manter contexto de conversa por sessão.POST /api/chat/clear
X-Session-ID.Contato
POST /api/contact
ContactRequestEnviarEmailContatoUseCase + adaptador de e‑mail (Gmail/SMTP).Projetos
GET /api/projects
GithubRepositoryDto) usando a API do GitHub.GET /api/projects/{projectName}/markdown
certificados-wesley.portfolio-content/projects/{projectName}.md ou portfolio-content/trabalhos/{projectName}.md.lol-matchmaking-fazenda → busca em certificados-wesley/portfolio-content/projects/lol-matchmaking-fazenda.md.Chat com IA (OpenAI + Fallback de modelos + Budget de tokens)
OpenAIAdapter (AIChatPort).openai.api.key, ouOPENAI_API_KEY.openai.model – modelo principal (padrão: gpt-5-mini);openai.models.fallback – lista separada por vírgula (gpt-4o-mini,gpt-3.5-turbo);openai.max-tokens – limite de tokens de saída (padrão: 4000).[modelo principal + fallbacks];O backend não usa mais arquivos estáticos em portfolio-content/. Todo o conteúdo é buscado dinamicamente do repositório GitHub certificados-wesley:
@Primary) substitui o antigo ClasspathPortfolioContentAdapter (deprecated).portfolio-content/*.md (raiz)portfolio-content/projects/*.mdportfolio-content/trabalhos/*.mdA aplicação Angular é uma SPA moderna, responsiva e focada em experiência de leitura do portfólio, com:
hero, about, skills, experience, education, projects, certifications, contact, footer.chat-widget + composables use-...).pdf-viewer + cv-modal).readme-modal + markdown.service).github.service) para listar repositórios.O frontend é empacotado na pasta dist/portfolio/browser e depois:
backend/src/main/resources/static durante o build Maven; ebackend/target/classes/static para rodar diretamente do JAR.Este projeto utiliza apenas um subconjunto da stack completa descrita em backend/src/main/resources/portfolio-content/STACKS.md. Em alto nível:
Backend
Frontend
inject, RxJS 7.8.0)pdfjs-dist, marked, mermaid, prismjs, lottie-webDevOps / Deploy
frontend-maven-plugin)DEPLOY-GOOGLE-CLOUD-RUN.md).Para uma descrição bem mais detalhada de tecnologias, níveis de proficiência e contexto por projeto, consulte STACKS.md.
No diretório backend/:
cd backend
mvn clean package
# Executar a aplicação
mvn spring-boot:run
O Maven irá:
frontend-maven-plugin);npm install no diretório frontend/;npm run build -- --configuration=production;src/main/resources/static e target/classes/static.Depois disso, acesse:
http://localhost:8080http://localhost:8080/api/...No diretório frontend/:
cd frontend
npm install
npm run start:local # ou: npm start
# Frontend: http://localhost:4200
Se quiser apontar o frontend para um backend local, garanta que os serviços usem a URL adequada em api-url.util.ts (por padrão, http://localhost:8080).
O repositório possui a pasta docs/, utilizada pelo GitHub Pages. O fluxo típico é:
Build do frontend:
cd fr
Selected from shared topics, language and repository description—not editorial ratings.
PeetlaMahesh123 /
💻 A personal portfolio featuring full stack development projects built with Java, React, and MySQL. 🚀 It demonstrates my problem-solving abilities and real-world application development skills. 📈 Continuously learning and improving to build better software solutions.
56/100 healthabhishekprajapatt /
🛒 ShopNow - ShopNow is a full-stack e-commerce web application built with modern technologies available in both client and server folders. This project was developed as a portfolio piece to demonstrate proficiency in Java, Spring Boot, TypeScript, React, and cloud-native practices.
52/100 healthTokenCounter e logs estruturados.Servir o SPA (Angular)
SpaController intercepta requisições não‑API:
static/static/index.html para rotas client‑side (/, /projects, etc.).wmakeouthill /
Portfólio full-stack para gestão de barbearias (Java 17 + Spring Boot + Angular 20 + Ionic + Capacitor). Backend com autenticação JWT, API REST e geolocalização. Frontend mobile híbrido com sistema de agendamentos, avaliações e vínculo barbeiros-barbearias.
44/100 healthAI-TEENU /
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src="https://github-readme-stats.vercel.app/api/pin/?username=AI-TEENU&repo=AI-TEENU&title_color=0891b2&text_color=ffffff&icon_color=0891b2&bg_color=1c1917&hide_border=true&locale=en" /></a></div><br /><br /><br /><br /><br /><br /><br /> ### Support Me <a href="https://www.buymeacoffee.com/royalteenur"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" width="200" /></a>
37/100 healthPallu27899 /
This is my portfolio website which includes my journey as full stack java backend developer.
31/100 healthKomalkopnar622 /
This is my portfolio website which includes my journey as full stack java backend developer.
32/100 health