Project Overview

An AWS Lambda-based serverless project for managing user data, integrating Pydantic for data validation, API Gateway for HTTP endpoints, and Amazon RDS for storage.

Project Structure

aws-lambda-user-management/
│
├── src/
│   ├── app.py               # Main Lambda handler
│   ├── db.py                # Database connection
│   ├── user_models.py       # Pydantic data models
│   └── user_service.py      # User management logic
└── template.yaml            # AWS SAM template

Using Pydantic for Data Validation

from pydantic import BaseModel, EmailStr

class User(BaseModel):
    username: str
    email: EmailStr
    password: str

Lambda Handler with Pydantic

from user_models import User

def lambda_handler(event, context):
    data = User(**event['body'])  # Pydantic validation
    # Proceed with user logic

Benefits

• Secure and scalable serverless architecture
• Reliable data validation with Pydantic
• Seamless integration with AWS services