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PEP 490 – Chain exceptions at C level
PEP 490 – Chain exceptions at C level
- Author:
- Victor Stinner <vstinner at python.org>
- Status:
- Rejected
- Type:
- Standards Track
- Created:
- 25-Mar-2015
- Python-Version:
- 3.6
Chain exceptions at C level, as already done at Python level.
Python 3 introduced a new killer feature: exceptions are chained by
default, PEP 3134.
Example:
try:
raise TypeError("err1")
except TypeError:
raise ValueError("err2")
Output:
Traceback (most recent call last):
File "test.py", line 2, in <module>
raise TypeError("err1")
TypeError: err1
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "test.py", line 4, in <module>
raise ValueError("err2")
ValueError: err2
Exceptions are chained by default in Python code, but not in
extensions written in C.
A new private _PyErr_ChainExceptions() function was introduced in
Python 3.4.3 and 3.5 to chain exceptions. Currently, it must be called
explicitly to chain exceptions and its usage is not trivial.
Example of _PyErr_ChainExceptions() usage from the zipimport
module to chain the previous OSError to a new ZipImportError
exception:
PyObject *exc, *val, *tb;
PyErr_Fetch(&exc, &val, &tb);
PyErr_Format(ZipImportError, "can't open Zip file: %R", archive);
_PyErr_ChainExceptions(exc, val, tb);
This PEP proposes to also chain exceptions automatically at C level to
stay consistent and give more information on failures to help
debugging. The previous example becomes simply:
PyErr_Format(ZipImportError, "can't open Zip file: %R", archive);
Modify C functions raising exceptions of the Python C API to
automatically chain exceptions: modify PyErr_SetString(),
PyErr_Format(), PyErr_SetNone(), etc.
Keeping the previous exception is not always interesting when the new
exception contains information of the previous exception or even more
information, especially when the two exceptions have the same type.
Example of an useless exception chain with int(str):
TypeError: a bytes-like object is required, not 'type'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: int() argument must be a string, a bytes-like object or a number, not 'type'
The new TypeError exception contains more information than the
previous exception. The previous exception should be hidden.
The PyErr_Clear() function can be called to clear the current
exception before raising a new exception, to not chain the current
exception with a new exception.
Some functions save and then restore the current exception. If a new
exception is raised, the exception is currently displayed into
sys.stderr or ignored depending on the function. Some of these
functions should be modified to chain exceptions instead.
Examples of function ignoring the new exception(s):
ptrace_enter_call(): ignore exception
subprocess_fork_exec(): ignore exception raised by enable_gc()
t_bootstrap() of the _thread module: ignore exception raised
by trying to display the bootstrap function to sys.stderr
PyDict_GetItem(), _PyDict_GetItem_KnownHash(): ignore
exception raised by looking for a key in the dictionary
_PyErr_TrySetFromCause(): ignore exception
PyFrame_LocalsToFast(): ignore exception raised by
dict_to_map()
_PyObject_Dump(): ignore exception. _PyObject_Dump() is used
to debug, to inspect a running process, it should not modify the
Python state.
Py_ReprLeave(): ignore exception “because there is no way to
report them”
type_dealloc(): ignore exception raised by
remove_all_subclasses()
PyObject_ClearWeakRefs(): ignore exception?
call_exc_trace(), call_trace_protected(): ignore exception
remove_importlib_frames(): ignore exception
do_mktuple(), helper used by Py_BuildValue() for example:
ignore exception?
flush_io(): ignore exception
sys_write(), sys_format(): ignore exception
_PyTraceback_Add(): ignore exception
PyTraceBack_Print(): ignore exception
Examples of function displaying the new exception to sys.stderr:
atexit_callfuncs(): display exceptions with
PyErr_Display() and return the latest exception, the function
calls multiple callbacks and only returns the latest exception
sock_dealloc(): log the ResourceWarning exception with
PyErr_WriteUnraisable()
slot_tp_del(): display exception with
PyErr_WriteUnraisable()
_PyGen_Finalize(): display gen_close() exception with
PyErr_WriteUnraisable()
slot_tp_finalize(): display exception raised by the
__del__() method with PyErr_WriteUnraisable()
PyErr_GivenExceptionMatches(): display exception raised by
PyType_IsSubtype() with PyErr_WriteUnraisable()
A side effect of chaining exceptions is that exceptions store
traceback objects which store frame objects which store local
variables. Local variables are kept alive by exceptions. A common
issue is a reference cycle between local variables and exceptions: an
exception is stored in a local variable and the frame indirectly
stored in the exception. The cycle only impacts applications storing
exceptions.
The reference cycle can now be fixed with the new
traceback.TracebackException object introduced in Python 3.5. It
stores information required to format a full textual traceback without
storing local variables.
The asyncio is impacted by the reference cycle issue. This module
is also maintained outside Python standard library to release a
version for Python 3.3. traceback.TracebackException will maybe
be backported in a private asyncio module to fix reference cycle
issues.
A new private _PyErr_ChainExceptions() function is enough to chain
manually exceptions.
Exceptions will only be chained explicitly where it makes sense.
Functions like PyErr_SetString() don’t chain automatically
exceptions. To make the usage of _PyErr_ChainExceptions() easier,
new private functions are added:
_PyErr_SetStringChain(exc_type, message)
_PyErr_FormatChain(exc_type, format, ...)
_PyErr_SetNoneChain(exc_type)
_PyErr_SetObjectChain(exc_type, exc_value)
Helper functions to raise specific exceptions like
_PyErr_SetKeyError(key) or PyErr_SetImportError(message, name,
path) don’t chain exceptions. The generic
_PyErr_ChainExceptions(exc_type, exc_value, exc_tb) should be used
to chain exceptions with these helper functions.
- PEP 3134 – Exception Chaining and Embedded Tracebacks
(Python 3.0):
new
__context__ and __cause__ attributes for exceptions
- PEP 415 – Implement context suppression with exception attributes
(Python 3.3):
raise exc from None
- PEP 409 – Suppressing exception context
(superseded by the PEP 415)
The header file Include/pyerror.h declares functions related to
exceptions.
Functions raising exceptions:
PyErr_SetNone(exc_type)
PyErr_SetObject(exc_type, exc_value)
PyErr_SetString(exc_type, message)
PyErr_Format(exc, format, ...)
Helpers to raise specific exceptions:
PyErr_BadArgument()
PyErr_BadInternalCall()
PyErr_NoMemory()
PyErr_SetFromErrno(exc)
PyErr_SetFromWindowsErr(err)
PyErr_SetImportError(message, name, path)
_PyErr_SetKeyError(key)
_PyErr_TrySetFromCause(prefix_format, ...)
Manage the current exception:
PyErr_Clear(): clear the current exception,
like except: pass
PyErr_Fetch(exc_type, exc_value, exc_tb)
PyErr_Restore(exc_type, exc_value, exc_tb)
PyErr_GetExcInfo(exc_type, exc_value, exc_tb)
PyErr_SetExcInfo(exc_type, exc_value, exc_tb)
Others function to handle exceptions:
PyErr_ExceptionMatches(exc): check to implement
except exc: ...
PyErr_GivenExceptionMatches(exc1, exc2)
PyErr_NormalizeException(exc_type, exc_value, exc_tb)
_PyErr_ChainExceptions(exc_type, exc_value, exc_tb)
Chain exceptions:
Changes preventing to loose exceptions:
The PEP was rejected on 2017-09-12 by Victor Stinner. It was decided in
the python-dev discussion to not chain C exceptions by default, but
instead chain them explicitly only where it makes sense.
This document has been placed in the public domain.
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