Automated Birthday Wisher

Step 1: Project Foundation and Environment Setup. The first step is to create a structured project directory and set up a clean Python environment. This ensures that your project dependencies are managed correctly and your code is organized from the start.

Step 2: Secure Credential Management. To avoid hardcoding sensitive information like your email password or API keys directly in the script, you will set up a system to manage them securely using environment variables.

Step 3: Data Storage and Retrieval (CSV Method). You will start by setting up a simple and local data source using a CSV file. This file will store the birthday information, and you will write Python code using the `pandas` library to read and process it.

Step 4: Core Logic for Birthday Checking. This is the heart of the application. You will implement the logic to check if the current date matches any of the birthdays from the data you loaded.

Step 5: Dynamic Email Composition. To make your wishes feel personal and not robotic, you'll create multiple email templates and a mechanism to randomly select and personalize one for each birthday person.

Step 6: Building the Email Sending Module. You will now create a reusable function to handle the technical details of connecting to an SMTP server and sending the composed email.

Step 7: Enhancement - Refactoring with Object-Oriented Programming (OOP). To make your code more organized, reusable, and easier to maintain, you will refactor your functions into classes.

Step 8: Enhancement - Integrating with Google Sheets. As an upgrade from the local CSV file, you will add the functionality to read birthday data directly from a Google Sheet. This is a common requirement in many real-world applications.

Step 9: Enhancement - Implementing Logging. To monitor your application's activity and diagnose issues, you will add logging. The script will write information about who was wished, any errors encountered, and when it ran to a log file.

Step 10: Automation and Scheduling. The final step is to make your script run automatically every day without manual intervention. You will learn about two common ways to achieve this: a local cron job and a cloud-based scheduler.