mongo-schematic 0.1.1

MongoSchematic CLI for MongoDB schema analysis, drift detection, and migrations

MongoSchematic CLI

MongoSchematic is a modern, developer-first tool for MongoDB schema management. It helps you infer schemas from existing data, detect drift, generate code, and handle migrations with confidence.

Features

• 🔍 Schema Inference: Automatically infer schemas from your MongoDB collections.
• 🚨 Drift Detection: Detect when your data deviates from your schema/models.
• 🛠️ Code Generation: Generate Pydantic models (Python) and TypeScript interfaces.
• 📄 Documentation: Build static HTML documentation for your database.
• 🎲 Data Seeding: Populate your database with realistic dummy data.
• 🔄 Migrations: Generate and execute versioned migration scripts.
• 🛡️ Validation: Validate documents against your defined schemas.
• 🤖 AI-Powered: Optional Gemini AI integration for schema recommendations.

Installation

pip install mongo-schematic

Quick Start

1. Initialize

Generate a default configuration file:

mschema init

2. Analyze a Collection

Infer the schema from an existing collection and save it:

mschema analyze --collection users --save schemas/users.v1.yml

3. Generate Code

Create a Pydantic model for your application:

mschema generate models --schema schemas/users.v1.yml --type pydantic --out models/user.py

4. Detect Drift

Check if your live data matches your schema:

mschema drift detect --schema schemas/users.v1.yml --collection users

Documentation

For full usage details including database-wide commands, CI/CD integration, and migration workflows, see the Usage Guide.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.