Managing Configurations in Python Projects

When building a Python project, managing configurations can quickly become a headache. You have different environments like development, testing, and production, each with its own set of configurations. You want to keep things organized, avoid hardcoding sensitive information, and make it easy to switch between environments. In this post, I'll walk you through how I tackled this problem using Pydantic and dotenv files. Let's dive in! The Problem: Managing Multiple Environments In any non-trivial project, you'll likely have at least three environments: Development (dev): Where you write and test your code locally Testing (test): Where automated tests run Production (prod): Where your application runs in the real world Each environment has its own configuration. For example, database credentials, API keys, and file paths might differ between development and production. Hardcoding these values is a no-go—it's error-prone and insecure. Instead, we want to manage these configurations extern