Ethereum: trying to run python code in command prompt, but it does not work
As a developer who spends most of their time working with python and its ecosystem, I recently encountered an unexpected issue while trying to run my python code on the ethereum blockchain. In this article, we’ll explore why my testet API Code does not work when running it directly from command prompt (or anaconda Prompt), and what steps I would resolve the problem.
The issue: Running Code in Command Prompt
To start with, let’s assume that I have a simple python script that connects to Binance Testnet using their testet API:
`python
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 command prompt (or anaconda prompt), it throws an error:
`
$ python testnet_api.py
Traceback (Most Recent 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: ‘nonetype’ object is not subscriptable
`
The error message indicates that the Response variable isnone, which means that the get request to the Binance Api failed.
The Solution: Using a Framework Testing
To resolve this issue, I decided to use a testing framework like pytest to test my code. HERE’S AN UPDATED VERSION OF THE SCRIPT:
`python
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 manually write the API Request. The testing framework will automatically simulate the requests and verify that they are successful.
The Benefit: More Reliability
By using a testing framework, I can ensure that my code is working correctly and catch any potential issues before running it on production servers. This has severe benefits, including:
- Reduced Downtime: If an issue occurs during testing, I can quickly identify and fix the problem without disrupting the entire system.
- Increased reliability: Testing frameworks like
pytesthelp to isolate issues and prevented them from spreading to other parts of the codebase.
Conclusion
In conclusion, running python code in command prompt (or anaconda prompt) can be a challenging experience, especially when it comes to testing Apis. By using a testing framework like pytest, I was able to resolve the issue and ensure that my testet api code is working correctly. This approach has severe benefits, including including reliability and reduced downntime.
As a developer, it’s essential to be aware of these potential issues and take steps to mitigate them. In this case, using a testing framework like pytest helped me to catch an error and resolve the problem quickly. By following best practices for testing and debugging code, we can ensure that our applications are reliable, efficient, and secure.
Additional tips
- Always test your code thoroughly before running it in production.
- Use a testing framework like
pytestor` unittest ‘to write tests for your code.
- Keep your dependencies up-to-date 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 has been helpful in illustrating the issue and solution with ethereum testnet API. If you have any questions or comments, please feel free to ask!