Resolving Pybit Error “Http status code is not 200” when running `session.query_kline`

What will you learn?

In this tutorial, you will learn how to effectively handle the error message “Http status code is not 200” that occurs while executing the session.query_kline function. You will understand how to implement proper error-handling techniques in Python scripts to manage non-200 HTTP responses gracefully.

Introduction to the Problem and Solution

Encountering the Pybit error “Http status code is not 200” signifies that the HTTP request made by session.query_kline did not receive a successful response with a status code of 200. This issue can arise due to various factors like network interruptions, incorrect API endpoints, or authorization problems.

To resolve this problem, it’s crucial to incorporate robust error-handling mechanisms in your Python script. By utilizing exception handling strategies, you can effectively address instances where the HTTP status code differs from 200 and provide appropriate fallback solutions or corrective actions.


    # Attempt to execute session.query_kline
    response = session.query_kline()

    if response.status_code == 200:
        # Process returned data when status code is 200
        # Handle non-200 status codes appropriately

except Exception as e:
    # Handle exceptions raised during query execution
    print(f"An error occurred: {str(e)}")

# Copyright PHD

Code with credits – Credits:


In the provided solution: – We use a try-except block to encapsulate the execution of session.query_kline. – Check if the HTTP response’s status code is equal to 200 for a successful request. – If the status code is not 200, we call a function handle_error_response() to manage non-successful responses. – Any exceptions raised during query execution are caught and displayed using exception handling with print.

By structuring our code in this manner, we can effectively handle errors related to non-200 HTTP responses and ensure our script behaves predictably even under adverse conditions.

Common Errors Handled in Code:

  1. What does a non-HTTP status code indicate?

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  2. How does the try-except block help in managing errors?

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  3. Can I customize the error message based on different types of non-200 responses?

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  4. Is it necessary always to print out an error message? Are there alternative approaches?

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  5. Should I retry the failed request automatically after encountering a non-200 response?

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  6. How can I log these errors for future reference or debugging purposes?

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  7. Are there specific libraries or modules that assist in handling such errors more efficiently?

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  8. Will implementing such error-handling logic impact performance significantly?

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  9. Can multiple except blocks be used for different types of exceptions within one try block contextually?

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  10. What best practices should be followed while designing custom error handling for API requests like this?

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Effective error management is vital in Python applications, especially when interacting with external services like APIs where unexpected issues can occur. By integrating robust error-handling mechanisms as demonstrated above, you ensure your scripts are resilient and capable of handling diverse scenarios proficiently.

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