mongo-easy 0.1.1

A simple and intuitive MongoDB helper library for everyone

Mongo Easy 🧠🍃

Mongo Easy is a beginner-friendly Python library that makes working with MongoDB super simple and readable — even for non-coders. Whether you're building a script, a CLI tool, or just learning databases, Mongo Easy helps you do CRUD operations with minimal setup and code.

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🔥 Features

• ⚡ One-line connect() to MongoDB
• 📁 Simple save(), find(), update(), and delete() functions
• 🧰 Optional collection aliases (alias("users", "u"))
• 🧪 Easy-to-read code — perfect for learners or quick scripting
• 💻 Built-in CLI to run MongoDB operations from your terminal
• 📤 CSV/JSON import/export
• 🧪 Test suite included
• 🧩 Custom utils for common DB tasks

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🚀 Installation

pip install mongo-easy

Or clone for development:

git clone https://github.com/prakhardoneria/mongo_easy.git
cd mongo_easy
pip install -e .

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🛠️ Quick Start

from mongo_easy.core.connection import connect
from mongo_easy.core.crud import save, find

connect()  # connect to local MongoDB

# Insert a document
save("users", {"name": "Alice", "age": 30})

# Query documents
users = find("users", {"age": {"$gte": 18}})
print(users)

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🧪 CLI Usage

# List all collections
mongo-easy list

# Insert a user
mongo-easy insert users --data '{"name": "Bob", "age": 25}'

# Find users
mongo-easy find users --filter '{"age": {"$gt": 20}}'

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🧩 Modules

• core: Core CRUD operations + MongoDB connection
• cli: Command-line interface helpers
• io: CSV/JSON import/export
• aliasing: Define shortcuts for collection names
• utils: Common utility functions for MongoDB operations

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🧰 Example

from mongo_easy import connect, save, find

connect("mongodb://localhost:27017", db_name="school")

save("students", {"name": "John", "grade": "A"})
students = find("students", {"grade": "A"})

for s in students:
    print(s)

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📁 Project Structure

mongo_easy/
├── core/
├── cli/
├── io/
├── aliasing/
├── utils/
├── tests/
├── examples/
└── docs/

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📄 Docs

• Getting Started
• Function Reference
• CLI Guide
• FAQ

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🧪 Testing

pytest

Use mongomock for offline tests (optional).

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🤝 Contributing

Pull requests are welcome! Check out the Contributing Guide (or create one!) to get started.

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📝 License

MIT License. Use it freely and star it if you love it ⭐

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🙌 Author

Made with ❤️ by Prakhar Doneria