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Скачать или смотреть How to Copy Objects in Python: A Guide to Creating Documents from Another Object in MongoDB

  • vlogize
  • 2025-07-23
  • 1
How to Copy Objects in Python: A Guide to Creating Documents from Another Object in MongoDB
Create object from another object in Pythonpythonmongodbclassobject
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Описание к видео How to Copy Objects in Python: A Guide to Creating Documents from Another Object in MongoDB

Learn the best practices for copying specific properties of objects in Python using MongoDB. This guide provides a clear guide to improve your data handling skills!
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This video is based on the question https://stackoverflow.com/q/67772925/ asked by the user 'Cipriana' ( https://stackoverflow.com/u/12181511/ ) and on the answer https://stackoverflow.com/a/67773067/ provided by the user 'surya' ( https://stackoverflow.com/u/11094041/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Create object from another object in Python

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Introduction

When working with databases such as MongoDB, you may find yourself needing to copy certain documents from one database to another. This is especially relevant when you only want to extract specific properties from each document. In this post, we will explore how to effectively create a new object from another object in Python.

Consider a scenario where you have a source document structured as follows:

[[See Video to Reveal this Text or Code Snippet]]

Your goal is to create a new document that contains only specific fields from the original, in this format:

[[See Video to Reveal this Text or Code Snippet]]

This article will detail how you can achieve this with step-by-step guidance.

Part 1: Creating a Custom Document Class

In your initial approach, you attempted to create a new class to handle document creation. While this is certainly a valid approach, a few adjustments can streamline the process. Here’s how you would define your Document class:

[[See Video to Reveal this Text or Code Snippet]]

Explanation of the Class Structure

Constructor Method (__init__): This method is called when we create a new instance of our Document class. The topic and email attributes are initialized with the values passed in.

Part 2: Fetching and Inserting Data

To copy the data from the source database, you will need to retrieve the documents and create a new instance of your Document class for each of them.
Here’s how you would do it:

[[See Video to Reveal this Text or Code Snippet]]

Key Points to Note

Fetching Data: The find() method retrieves all documents from the collectionName.

Creating New Instances: For each document retrieved, you create a new Document instance.

Inserting into New Database: The insert_one() method inserts the new document into the target database.

Part 3: A Simpler Approach with Dictionaries

While using a class is a great way to organize your code, there is a more straightforward way to handle this by utilizing Python dictionaries. Given that the response is in a dictionary format, you can simplify your process:

[[See Video to Reveal this Text or Code Snippet]]

Advantages of Using Dictionaries

Less Complexity: You avoid the overhead of defining and managing a class.

Direct Manipulation: You can directly access and modify data structures without needing a dedicated class.

Conclusion

Copying documents in MongoDB using Python can be performed efficiently either with custom classes or directly with dictionaries. For new Python programmers, it's often easier to stick to dictionaries until you are more comfortable with classes and object-oriented programming paradigms.

Feel free to explore both methods and choose the one that best fits your coding style and project needs. Happy coding!

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