mysql-database 0.1.6

easy calls to mysql databases

A lightweight and dynamic wrapper around mysql.connector to simplify MySQL database interactions with schema-driven table creation, automatic connection handling, and Python object mapping.

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pip install easy-mysql

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📁 Project Structure

Your project must include a schemas/ folder (or custom path) containing JSON schema files for each database.

Example:

schemas/
└── mydatabase.json

in this case the database name will be 'mydatabase'

Each file should follow this format:

{
  "users": {
    "name": "VARCHAR(255)",
    "email": "VARCHAR(255)",
    "active": "BOOLEAN"
  },
  
  "products": {
    "title": "VARCHAR(255)",
    "price": "FLOAT",
    "users_id": "INT"
  }
}

to use FOREIGN KEY create an INT column <foreign_table>_id: for example in the schema above users_id will be assosiated with the table users

🚀 Usage Example

from easy_mysql import Database, DatabaseCreds

# Define credentials
creds = DatabaseCreds(
    host="localhost",
    user="root",
    password="yourpassword",
    port=3306
)

# Initialize database (auto-creates DB and tables if they don't exist)
db = Database(name="mydatabase", creds=creds)

# Add object
user_id = db.add_object("users", {
    "name": "Alice",
    "email": "[e-mail]",
    "active": True
})

# Get list of user objects
users = db.get_list_of_objects("users")

# Get user by ID
user = db.get_object_by_id("users", user_id)

# Update user
db.update_object("users", user_id, {"active": False})

# Delete user
db.delete_object("users", user_id)

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🔍 Advanced Usage

Get filtered list of objects:

db.get_filtered_list_of_objects(
    object_type="users",
    filter="alice",
    include_columns=['name', 'email']
    as_dict=True
)

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📄 License

MIT License. See LICENSE file for details.

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