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Скачать или смотреть How to Read a JSON File in Python and Validate User Credentials

  • vlogize
  • 2025-04-07
  • 6
How to Read a JSON File in Python and Validate User Credentials
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Описание к видео How to Read a JSON File in Python and Validate User Credentials

A step-by-step guide on how to read a JSON file in Python and validate user credentials using email and password comparisons.
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This video is based on the question https://stackoverflow.com/q/73816631/ asked by the user 'DanielDude' ( https://stackoverflow.com/u/18492793/ ) and on the answer https://stackoverflow.com/a/73816798/ provided by the user 'gerda die gandalfziege' ( https://stackoverflow.com/u/14856241/ ) 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: Python read JSON file dictionary

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
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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How to Read a JSON File in Python and Validate User Credentials

When working with user data in Python, you may find yourself needing to read information stored in a JSON file. This is especially common in scenarios where you want to validate user credentials—like checking if a user's email and password match what's stored in a file. If you've ever faced challenges in reading a JSON file and retrieving data accurately, you're not alone! Let's explore a sample problem and its solution in detail.

The Problem Statement

Imagine you have a JSON file containing user details such as email, password, and role. Your goal is to read this JSON file and check if a user's login attempt (input email and password) matches any entry in the JSON data.

Here's a simplified representation of the JSON file, users.json:

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

When attempting to read this file and validate user inputs, you might encounter errors, such as a TypeError indicating an "unhashable type". Let's dive into how to effectively read the JSON file and check for valid user credentials.

Step-by-Step Solution

1. Open and Read the JSON File

To begin, you'll need to read the contents of the JSON file using Python's built-in json library. Below is an implementation for a function that accomplishes this:

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

2. Set Up the User Input Loop

You want the program to continuously ask for the user's email and password until they either log in successfully or exceed a limit on failed attempts. Here is a snippet that outlines this process:

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

3. Validate User Credentials

You need to loop through each user entry in the JSON data and check if the provided email and password match any user. Here’s how you can do that effectively:

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

Important Changes:

Ensure that the key names used to retrieve values match exactly, including case sensitivity ("password" vs. "Password").

4. Implementing a Lockout Mechanism on Failed Attempts

You'd want to lock users out if they fail to provide correct credentials multiple times. This can be done by checking the count of failed attempts:

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

Complete Code

Here’s the complete solution integrating all the discussed components:

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

Conclusion

By following these steps, you can effectively read data from a JSON file and validate user login credentials in Python. Be sure to pay attention to the specifics—such as key names in your JSON data—to avoid common errors. Now you should be well on your way to handling user authentications securely and efficiently in your Python applications!

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