How to use thinkorm to easily convert and import database data

How to use ThinkORM to easily implement data conversion and import into the database

Introduction:
In the actual development process, we often need to obtain data from a data source, convert it and import it into the database middle. This process may involve complex data processing and format conversion, causing a lot of trouble and time-consuming. ThinkORM is a lightweight ORM framework that provides a convenient data operation interface that can help us simplify the process of data conversion and import. This article will introduce how to use ThinkORM to implement database data conversion and import through code examples.

1. Installing and configuring ThinkORM
   First, we need to install ThinkORM. It can be installed through pip and run the following command:

   pip install thinkorm

   After the installation is completed, we also need to configure the database connection information. In the project configuration file, add the following configuration:

   DATABASE = {
    'driver': 'mysql',
    'host': 'localhost',
    'port': 3306,
    'user': 'root',
    'password': 'root',
    'database': 'test',
    'charset': 'utf8',
   }

   Modify the database connection information in the above configuration items to ensure that it matches the actual situation.

2. Create data model
   ThinkORM uses a data model to define the mapping relationship between database tables and fields. We need to create a data model class, inherit from ThinkORM's Model class, and define relevant fields and table names. The following is a simple example:

   from thinkorm import Model, CharField, IntegerField
   
   class User(Model):
    username = CharField(max_length=20)
    age = IntegerField()

   In the above code, we define a data model class named User, which contains two fields: username and age. These fields are mapped to corresponding tables and fields in the database.

3. Data conversion and import
   Next, we will introduce how to use ThinkORM for data conversion and import operations. Suppose we have a file named user.csv, which contains user data. The format of each row of data is: username, age. The following is an example user.csv file:

   John,25
   Mary,30

   We can use Python's csv module to read the csv file and convert the data into a data model object, and finally import the data through the save() method of the data model into the database. The following is the complete sample code:

   import csv
   from thinkorm import DBManager
   from models import User
   
   db_manager = DBManager()
   
   with open('user.csv', 'r') as file:
    reader = csv.reader(file)
    for row in reader:
        username, age = row
        user = User(username=username, age=age)
        db_manager.save(user)
   
   db_manager.commit()

   The logic of the above code is: first, create a DBManager instance to manage database connections. Then, use the csv module to read the user.csv file and process each line of data line by line. Assign the user name and age of each row of data to the corresponding variables, then create a User object and convert the row of data into a data model object. Finally, call the save() method of DBManager to save the data model object to the database.

It should be noted that we also need to call the commit() method of DBManager to submit the transaction and perform the save operation immediately.

Summary:
By using ThinkORM, we can easily implement data conversion and import into the database. It provides a convenient data operation interface and simplifies the process of data processing and format conversion. This article demonstrates how to use ThinkORM to implement data import operations through code examples, hoping to be helpful to readers in actual development.

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