gsab 0.2.0

Google Sheets as a Backend — a database-like interface for Google Sheets.

Google Sheets as Backend (GSAB)

A Python library that enables using Google Sheets as a database backend with features like schema validation and encryption.

Features

• 🔒 Secure Google Sheets integration with OAuth2
• 📊 Schema validation and type checking
• 🔐 Field-level encryption for sensitive data
• 🌐 Async/await support
• 📝 Comprehensive logging

Installation

pip install gsab

Quick Start

1. Set up Google Cloud Project and enable Google Sheets API:

   • Go to Google Cloud Console
   • Create a new project or select existing one
   • Enable Google Sheets API
   • Create OAuth 2.0 credentials
   • Download credentials JSON file

2. Set up environment variables:

GOOGLE_CREDENTIALS_PATH=/path/to/credentials.json
ENCRYPTION_KEY=your-encryption-key

3. Basic Usage:

from gsab import SheetConnection, Schema, Field, FieldType, SheetManager

# Define your schema
schema = Schema("users", [
    Field("id", FieldType.INTEGER, required=True, unique=True),
    Field("email", FieldType.STRING, required=True),
    Field("password", FieldType.STRING, required=True, encrypted=True)
])

# Connect and use
async def main():
    connection = SheetConnection()
    await connection.connect()
    
    sheet_manager = SheetManager(connection, schema)
    
    # Create a new sheet
    sheet = await sheet_manager.create_sheet("Users Data")
    
    # Insert data
    await sheet_manager.insert({
        "id": 1,
        "email": "[e-mail]",
        "password": "secretpass123"  # Will be automatically encrypted
    })

Schema Definition

Define your data structure with type checking and validation:

from gsab import Schema, Field, FieldType, ValidationRule

schema = Schema("users", [
    Field("id", FieldType.INTEGER, required=True, unique=True),
    Field("email", FieldType.STRING, required=True),
    Field("age", FieldType.INTEGER, min_value=0, max_value=150),
    Field("password", FieldType.STRING, required=True, encrypted=True)
])

Security Features

Field Encryption

Sensitive data is automatically encrypted when the field is marked with encrypted=True:

# Fields marked as encrypted will be automatically handled
schema = Schema("users", [
    Field("ssn", FieldType.STRING, encrypted=True),
    Field("credit_card", FieldType.STRING, encrypted=True)
])

License

This project is licensed under the MIT License - see the LICENSE.md file for details.