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Introduction

This repository contains the code examples with adaptions of the book "Architecture Patterns with Python". The link of the book is here

Requirements

  • Python 3.8+
  • Pytest
  • PostgreSQL
  • SQLAlchemy

Instructions to run the project

  1. Clone the project to your local machine
  2. Go to the directory you want and create a virtualenv with the command python -m venv <your_virtualenv>
  3. Active your virtualenv with the command source <your_virtualenv>/bin/activate
  4. Go to the project root and install project dependencies with the command pip install -r requirements.txt
  5. Create a .env file at the root of the project (See the file .env_example in this repository)

Done!! Now you need to run a docker container with Postgres

Configuring a container of Postgres

  1. Firstly, install Docker. If you already have it installed, skip this step. Otherwise, check the official documentation to install

Docker Documentation

  1. Create a PostgreSQL container with the command docker container run -d -p <host_port>:5432 --name <name_of_container> -e POSTGRES_USER=<your_user> -e POSTGRES_PASSWORD=<your_password> -e POSTGRES_DB=<your_db> postgres:latest

    2.1. Example: To run a container named mypostgres on the port 5433 with the database name mydb, the username admin and the password rootthe command is:

     docker container run -d -p 5433:5432 --name mypostgres -e POSTGRES_USER=admin -e POSTGRES_PASSWORD=root -e POSTGRES_DB=mydb postgres:latest
    
  2. After that, add the environment variable POSTGRES_URL="postgresql+psycopg2://user:password@host:port/dbname" into your .env file

  3. Add the other environment variable API_URL="http://localhost:4200" (or another port different of 4200) to run the API

That's it. :)