db-crud-automated 0.0.10

A Python package for connecting with databases.

🚀 Unified Database Connector Package

Overview

*DB Crud Automated is a powerful tool designed to simplify and automate database operations, particularly for MongoDB. This library allows developers to easily connect to a MongoDB database and perform Create, Read, Update, and Delete (CRUD) operations with minimal setup and code. The goal of Database Automator is to streamline database interactions and enhance productivity for developers working with databases.

Goal

The primary objective of Database Automator is to automate functionalities for connecting to MongoDB and executing CRUD operations efficiently. The library aims to provide a user-friendly interface that abstracts the complexities of database interactions.

Future Improvements

• Support for additional databases such as MySQL, Cassandra, and others.
• Enhanced error handling and logging features.
• More comprehensive documentation and examples soon.

Installation

To install Database Automator, you can use pip. Run the following command in your terminal:

pip install db-crud-automated

Features

• ✅ Easy Connection: Simplifies the process of connecting to MongoDB.
• 🔄 CRUD Operations: Provides straightforward methods to perform Create, Read, Update, and Delete operations.
• 🌱 Extensibility: Future support for other databases such as MySQL and Cassandra.

Usage

Here’s a quick example of how to use the mongo_operation class to connect to a MongoDB database and perform CRUD operations:

Example

from mongodb_connect.mongo_crud import mongo_operation

# Initialize the MongoDB operation class
mongo_client = mongo_operation(client_url='your_mongodb_uri', 
                               database_name='your_database_name', 
                               collection_name='your_collection_name')

# Create a new record
record = {'name': 'John Doe', 'age': 30}
mongo_client.insert_record(record, collection_name='your_collection_name')

# Bulk insert records from a CSV file
mongo_client.bulk_insert('path_to_your_file.csv', collection_name='your_collection_name')

# You can also use a list of records for insertion
records_list = [
    {'name': 'Alice', 'age': 25},
    {'name': 'Bob', 'age': 28}
]
mongo_client.insert_record(records_list, collection_name='your_collection_name')

Contributing

🤝 Contributions are welcome! If you have suggestions or improvements, please open an issue or submit a pull request.

License

📝 This project is licensed under the MIT License. See the LICENSE file for details.

Contact

📧 For questions or support, feel free to reach out via email at [e-mail].

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