💡 Quick Solutions

{% if exception_type == "TypeError" and "JSON serializable" in exception_message %}

JSON Serialization Error:

• Check for Python set() objects in your data - use list() instead
• Verify all data types are JSON serializable (str, int, list, dict, bool, None)
• Use json.dumps(data, default=str) for complex objects
• Check for datetime objects - convert them to strings first

{% elif exception_type == "AttributeError" %}

Attribute Error:

• Check if the object has the attribute you're trying to access
• Verify the object is not None before accessing attributes
• Use hasattr(object, 'attribute') to safely check for attributes
• Check for typos in attribute names

{% elif exception_type == "ImportError" or exception_type == "ModuleNotFoundError" %}

Import Error:

• Check if the module is installed: pip install module_name
• Verify the module path and spelling
• Check your PYTHONPATH configuration
• Make sure you're in the correct virtual environment

{% elif exception_type == "KeyError" %}

Key Error:

• Check if the key exists in the dictionary before accessing it
• Use dict.get('key', default_value) for safe access
• Verify the key spelling and case sensitivity
• Print the dictionary keys to debug: print(dict.keys())

{% elif exception_type == "IndexError" %}

Index Error:

• Check if the list/array has enough elements before accessing by index
• Use len(list) to verify the list size
• Remember that Python uses 0-based indexing
• Use try/except for safe index access

{% else %}

General Debugging Tips:

• Check the stack trace below for the exact line causing the error
• Verify your input data and parameters
• Use the profiler button above to get detailed request information
• Check application logs for additional context
• Add debugging print statements to trace the execution flow

{% endif %}

{{ traceback }}