Best practices for handling exceptions include three points: First, avoid program crashes or masking problems; second, use specific exception types instead of general capture Exceptions; and finally, make sure resources are cleaned up correctly. Only exception types that clearly know how to handle, such as FileNotFoundError or json.JSONDecodeError, should be caught, and let the exception bubble for troubleshooting when uncertain. Add context information to the exception, record the operation data or status through logging, and use raise ... from excc to preserve the original context if necessary. Cleaning resources is preferred to use with statements or finally blocks to avoid resource leakage or secondary errors due to exceptions. Only by thinking clearly about the reasons for capturing, how to handle and subsequent state can the code be more robust.
The best practices for handling exceptions are actually two: don't let the program crash, and don't cover up the problem. The key is how to find a balance between stability and maintainability.
Use specific exception types instead of generalizing Exception
Many people write try...except Exception:
or worse, directly except:
. Although this seems stable, it is actually a mineburning. You may accidentally swallow a serious error, such as memory overflow or keyboard interrupt (Ctrl C), and you don't know what went wrong when debugging.
Suggested practices:
- Only capture exception types that you know how to deal with
- For example, when reading a file fails, grab
FileNotFoundError
, and when parsing JSON errors, catchjson.JSONDecodeError
- What to do if you are not sure? Then don't rush to catch, let it bubble up first
The advantage of doing this is: you can clearly know where and why it went wrong, and it is also convenient for subsequent troubleshooting.
Add useful context information to exceptions
Printing an exception name and reporting an error message is often not enough. For example, if you see ValueError: invalid literal for int() with base 10: 'abc'
, you know that the conversion string error occurred, but you don't know where the value came from and what the program's status was at that time.
You can do this:
- When logging in the except block, add the data or status of the current operation
- For example, "When trying to convert the age entered by the user to an integer, the input content is 'abc'"
- If you need to rethrow the exception, you can use
raise ... from exc
to preserve the original context
In this way, when others read the log or report error information, they can locate the root cause of the problem faster.
Cleaning up resources depends on finally or with, rather than relying on exception processes
Sometimes we write code like this:
try: f = open('file.txt') data = f.read() except Exception: print("Error") f.close()
There is a potential problem with this: if open()
succeeds but read()
reports an error, then f.close()
will execute normally. But if open()
fails, then variable f
is not defined at all, and an error will be reported after calling .close()
.
A better way:
- Use
with open(...) as f:
to automatically manage resources - Or put the cleaning logic in
finally
blocks to ensure that it will be executed regardless of error or not
This way, resource leakage or secondary errors will not occur due to abnormal interruption of the process.
Basically that's it. Exception handling is not complicated, but it is easy to be abused or lazy. The key is to think clearly: what are you going to capture? Why deal with it? What status should be returned after processing? Once you understand these, the code will naturally become robust.
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