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A Guide to Quickly Implementing Database Data Transformation and Connection with ThinkORM

M66 2025-07-18

Introduction

Database operations are a crucial part of web application development. To efficiently perform data transformation and connection, using an ORM (Object-Relational Mapping) tool is essential. ThinkORM is a simple yet powerful ORM tool that helps us quickly implement database operations, reducing the hassle of writing SQL manually. In this article, we will introduce how to use ThinkORM for database data transformation and connection.

Installing ThinkORM

First, you need to install ThinkORM in your project. Open the command line, navigate to your project directory, and run the following command to install it:

<span class="fun">pip install thinkorm</span>

Once installed, you can start using ThinkORM for database operations.

Configuring the Database Connection

Before using ThinkORM, you need to configure the database connection settings. Add the following code to your project configuration file (e.g., config.py):

# Import ThinkORM
from thinkorm import ThinkORM

# Configure database connection
db = ThinkORM(host='localhost', port=3306, user='root', password='123456', database='test')

Modify the host, port, user, password, and database fields according to your actual configuration.

Data Transformation Example

When performing database operations, we often need to transform data from the database into usable objects. Here is an example of data transformation:

from thinkorm import Model, StringField, IntegerField

# Define the data model
class User(Model):
    __table__ = 'user'
    id = IntegerField(primary_key=True)
    name = StringField()
    age = IntegerField()

# Query the user with id = 1
user = User.find_by(id=1)

# Transform the raw database data into a User object
user_obj = User.from_db_data(user)

# Print the User object's attributes
print(user_obj.id, user_obj.name, user_obj.age)

In the above code, we first define a User model that inherits from the ThinkORM Model class. In the model, we specify the table name and fields. Then, we use the User.find_by method to query the user with id = 1, which returns raw database data. Finally, we use the User.from_db_data method to transform the raw data into a User object, making it easy to access the attributes of the object.

Database Connection Example

In addition to data transformation, database connection is another common task. Here is an example of connecting to a database:

from thinkorm import Model, StringField, IntegerField

# Define the data model
class User(Model):
    __table__ = 'user'
    id = IntegerField(primary_key=True)
    name = StringField()
    age = IntegerField()

# Connect to the database
db.connect()

# Create the table if it does not exist
User.create_table()

# Insert data into the table
user = User(id=1, name='Tom', age=18)
user.save()

In this example, we define a User model and use db.connect to connect to the database. We then call User.create_table to create the table if it doesn't already exist. Finally, we use user.save to insert a new record into the database.

Conclusion

With ThinkORM, we can simplify database operations, especially data transformation and connection. This tool helps us avoid the hassle of writing SQL queries manually, making database operations more efficient. We hope this article helps you when working with ThinkORM for database tasks.