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  • 6718f394692dd bpthumb

    Cho Rin

    Member
    03/20/2025 at 4:56 pm in reply to: How to convert cURL commands to Python requests?

    Your Python equivalent of the cURL command is mostly correct, but here are a few enhancements to improve its efficiency, readability, and error handling:

    import requests
    # Define the API endpoint
    url = "https://api.example.com/data"
    # Set up headers
    headers = {
        "Authorization": "Bearer your_api_key",
        "Content-Type": "application/json"
    }
    # Define the payload
    data = {
        "key": "value"
    }
    try:
        # Send the request with a timeout to avoid hanging requests
        response = requests.post(url, headers=headers, json=data, timeout=10)
        # Raise an HTTPError for bad responses (4xx and 5xx)
        response.raise_for_status()
        # Process the response
        print("Success:", response.json())
    except requests.exceptions.HTTPError as http_err:
        print(f"HTTP error occurred: {http_err}")
    except requests.exceptions.ConnectionError:
        print("Connection error. Please check your internet connection.")
    except requests.exceptions.Timeout:
        print("Request timed out. Try increasing the timeout value.")
    except requests.exceptions.RequestException as err:
        print(f"An error occurred: {err}")
    

    Improvements Over the Original Code:
    Error Handling – Uses response.raise_for_status() to handle HTTP errors properly. Also, try-except blocks catch connection issues, timeouts, and other request-related exceptions.
    Timeout – Adds a timeout (timeout=10) to prevent indefinite hanging.
    Improved Debugging – Prints specific error messages for different failure cases.
    More Readable Structure – Groups variables logically, making the code easier to modify and scale.
    This approach ensures that your API request is more robust, efficient, and user-friendly.