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Lógica de negócio\n/OCRSearch.Domain            # Entidades\n/OCRSearch.Infrastructure    # Elasticsearch\n/OCRSearch.API               # Controllers e configuração\ncompose.yml                  # API + Elasticsearch + Kibana\n```\n\n---\n\n## Setup do Projeto\n\n### Pré-requisitos\n\n- [.NET 9 SDK](https://dotnet.microsoft.com/en-us/download) (se quiser rodar localmente)\n- [Docker](https://www.docker.com/)\n\n### Rodando API, Elasticsearch e Kibana com Docker\n\n```bash\ndocker-compose up --build -d\n```\n\nAcesse o Kibana: [http://localhost:5601](http://localhost:5601)\n\n### Rodando API localmente\n\n```bash\ndocker-compose up --build -d\ndocker stop ocr-search-api\ncd OCRSearch.Api \u0026\u0026 dotnet run\n```\n\nAcesse o Scalar: [http://localhost:5174/scalar/v1](http://localhost:5174/scalar/v1)\n\n---\n\n## Endpoints\n\n### Upload de Documento\n\n```http\nPOST /Upload-File\nContent-Type: multipart/form-data\n```\n\n**Key:**\n\n- file\n\n**Value:**\n\n- Arquivo (PDF e imagem)\n\n---\n\n### Buscar Documento\n\n```http\nGET /Search-File?content=texto\u0026size=\n```\n\n**Query Params:**\n\n- `content`: Termo de busca\n- `size`: Quantos documentos retornar\n\n**Retorno:**\n\n```json\n[\n  {\n    \"id\": \"abc123\",\n    \"name\": \"test.png\",\n    \"extension\": \".png\",\n    \"url\": \"https://some-url\",\n    \"extractedText\": \"bla bla bla bla bla\",\n    \"uploadedAt\": \"2025-04-27 15:42:30\"\n  }\n]\n```\n\n---\n\n## Licença\n\nProjeto open-source sob a licença MIT. 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