jogo-da-vida-paralelo's Introduction
# Trabalho Final Programação para Sistemas Paralelos e Distribuídos ## Como rodar Para rodar o projeto desenvolvido é necessário possuir instalada a ferramenta [Docker](https://www.docker.com/) e [Docker Compose](https://docs.docker.com/compose/). Caso você não possua essas ferramentas, é possível instalá-la seguindo suas documentações oficiais: * Arch: [Docker Desktop](https://docs.docker.com/desktop/install/archlinux/); [Docker Engine](https://wiki.archlinux.org/title/docker#Installation); [Docker Compose](https://wiki.archlinux.org/title/docker#Docker_Compose) * Ubuntu: [Docker Desktop](https://docs.docker.com/desktop/install/ubuntu/); [Docker Engine](https://docs.docker.com/engine/install/ubuntu/); [Docker Compose](https://docs.docker.com/compose/install/linux/#install-using-the-repository) * Windows: [Docker Desktop](https://docs.docker.com/desktop/install/windows-install/) * Mac: [Docker Desktop](https://docs.docker.com/desktop/install/mac-install/) Após a instalação do Docker, basta executar o comando abaixo para criar os containers que irão executar as ferramentas Elastic Search, Kibana, Zookeeper e Kafka. ```bash $ docker compose up ``` O último container instanciado inicia um consumidor do tópico Kafka e fica disponível para execução do código do Jogo da Vida, desenvolvido em C, com as bibliotecas MPI e OMP. O consumidor espera receber uma mensagem no formato: ```json { "powmin": powmin, "powmax": powmax, "method": metodo } ``` Sendo `powmin` e `powmax` valores inteiros, enquanto `method` espera uma string. Para facilitar o envio de dados para o consumidor foi criado um código Python que realiza esse processo. Para executá-lo é necessário criar um ambiente virtual. Isso pode ser feito seguindo o tutorial da [Dataquest](https://www.dataquest.io/blog/a-complete-guide-to-python-virtual-environments/). Dentro do ambiente virtual instale as dependências com o comando `pip install -f requirements.txt`. Por fim basta executar o arquivo `producer.py` com o comando: ```bash python3 producer.py ```
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