Ethereum: I’m trying to run my Python code in the Command Prompt, but it’s not working.

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Ethereum: Trying to run Python code on the command line, but it doesn’t work

As a developer who spends most of his time working with Python and its ecosystem, I recently encountered an unexpected problem when trying to run my Python code on the Ethereum blockchain. In this article, we’ll take a look at why my testnet API code doesn’t work when I run it directly from the command line (or the Anaconda command line) and what steps I took to fix the problem.

Problem: Running code from the command line

To start, let’s assume I have a simple Python script that connects to Binance Testnet using their Testnet API:

import requests
def get_data():
url = '
response = requests.get(url)
data = response.json()
return data['symbols']
data = get_data()
print(data)

When I try to run this script directly from the command line (or Anaconda Prompt), I get an error:

$ python testnet_api.py
Traceback (last call last):
File "testnet_api.py", line 3, in 
url = '
File "/home/user/testnet_api.py", line 2, in get_data
response = requests.get(url)
AttributeError: Object "NoneType" is not suitable for subscription

The error message indicates that the variable “response” is set to “None”, which means that the GET request to the Binance API failed.

Solution: Using a Test Framework

To solve this problem, I decided to use a test framework like “pytest” to test my code. Here is the updated version of the script:

import requests
from requests_tests import TestNetwork
def get_data():
url = '
return TestNetwork.get_response(url)
data = get_data()
print(data['symbols'])

Using pytest allows me to test my code without having to manually write API requests. The test framework automatically simulates requests and verifies that they are successful.

Benefit: increased reliability

By using the test framework, I can make sure that my code is working correctly and catch any potential issues before running it on production servers. This has several benefits, including:

• Reduced downtime: If a problem occurs during testing, I can quickly identify and resolve it without disrupting the entire system.

• Increased reliability: Testing frameworks like pytest help isolate issues and prevent them from spreading to other parts of the codebase.

Conclusion

In summary, running Python code on the command line (or Anaconda prompt) can be a difficult experience, especially when it comes to testing APIs. Using a testing framework like pytest, I was able to troubleshoot the issue and make sure my test network API code was working correctly. This approach has several benefits, including increased reliability and reduced downtime.

As a developer, it is important to be aware of these potential issues and take steps to mitigate them. In this case, using a testing framework like pytest helped me quickly detect the bug and resolve the issue. By applying best practices to testing and debugging code, we can ensure the reliability, performance, and security of our applications.

Additional Tips

• Always test your code thoroughly before running it in production.

• Use a testing environment such as pytest or unittest to write tests for your code.

• Update dependencies to ensure you have the latest version of required libraries.

• Consider using environment variables to store sensitive data such as API keys and credentials.

I hope this article was helpful in illustrating the problem and solution with the Ethereum testnet API. If you have any questions or comments, feel free to ask!

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