基于Python与discord.py的Discord机器人数据存储方案选择咨询：文本文件、MongoDB还是JSON？

Hey there! Let's break down your three storage options based on your specific bot setup—small personal bot on a Windows PC, serving one server, handling only 15-30 users twice a month. Here's the breakdown:

1. JSON (Top Pick) #

This is the perfect fit for your scenario, and here's why:

• No extra dependencies: Python has a built-in json module, so you don't need to install or maintain any external software (critical for a personal Windows setup).
• Structured and flexible: You can store more than just user IDs if you ever need to—like the timestamp of the last audit, or the required role for compliance—without rewriting your entire storage logic. For example, your saved data could look like this:

  {
    "audit_date": "2024-05-20",
    "users_to_check": [1234567890, 0987654321]
  }
  

• Dead simple to implement: Reading and writing takes just a few lines of code. Clearing the list after each audit is as easy as overwriting the JSON file with an empty array or object.
• Lightweight: Even with 30 user entries, the file will be tiny—no performance hit on your PC.

2. Plain Text File (Simpler but Less Flexible) #

A text file (e.g., one user ID per line) works, but it's limited:

• Pros: Extremely simple to code with basic file I/O (open() function in Python). No learning curve if you want the most minimal solution.
• Cons: No structure. If you ever need to add more context (like audit dates, user roles), you'll have to invent your own formatting rules, which gets messy fast. It's only good for storing a flat list of IDs, with no room for future small expansions.

3. MongoDB (Overkill for Your Scenario) #

Skip this one entirely—here's why:

• Overhead: You'd need to install and run the MongoDB server on your Windows PC, which adds unnecessary background processes and maintenance work.
• Overfeatured: MongoDB is designed for large-scale, complex datasets with advanced querying needs. You're only dealing with a tiny list of users that gets cleared every two weeks—you'll never use 99% of its capabilities.
• Unnecessary complexity: You'd have to learn MongoDB's Python driver (pymongo) and deal with connection strings, collections, etc., which is a waste of time for your use case.

Final Verdict #

Go with JSON. It balances simplicity, flexibility, and zero extra setup—perfect for your small, personal bot workflow. You can have it up and running in minutes with Python's built-in tools, and it'll handle any minor future tweaks you might need.

内容的提问来源于stack exchange，提问作者Wes H.