Error Handling and Debugging
The Mathpix Python SDK is designed to surface informative errors when issues occur, helping you debug problems effectively.
Common Error Types
- Authentication Errors:
These occur if yourapp_id
orapp_key
are missing, invalid, or expired.
Check your credentials and environment setup.
- Network Errors:
If the Mathpix API server is unreachable, a network error will be raised.
Ensure your internet connection is active and that firewall rules are not blocking access toapi.mathpix.com
.
- Invalid Input Errors:
Errors related to invalid file formats, unsupported media types, or incorrect parameters passed to the API methods.
- Rate Limit Errors:
If you exceed your Mathpix usage limits (requests per second or per month), you will receive a rate limiting error.
Contact Mathpix support if you need a higher quota.
Debugging Tips
- Enable logging in your application to capture error messages and full responses.
- Carefully inspect any error messages returned by API calls — they usually include helpful explanations.
- Check your authentication method and token expiration if requests suddenly start failing.
- Validate file paths and URLs when uploading documents or images.
- Ensure you are passing the correct parameters expected by each SDK method.
Example Error Handling
from mpxpy.mathpix_client import MathpixClient
from mpxpy.exceptions import MathpixClientError
client = MathpixClient()
try:
image = client.image_new(file_path="nonexistent.jpg")
mmd = image.mmd()
except MathpixClientError as e:
print(f"MathpixClientError: {e}")
except Exception as e:
print(f"Unexpected error: {e}")
If your error handling needs to distinguish between types of problems (e.g., authentication issues vs. file errors), you can catch and process exceptions accordingly.