PEP: 565 Title: Show DeprecationWarning in __main__ Author: Nick Coghlan Status: Draft Type: Standards Track Content-Type: text/x-rst Created: 12-Nov-2017 Python-Version: 3.7 Post-History: 12-Nov-2017 Abstract ======== In Python 2.7 and Python 3.2, the default warning filters were updated to hide DeprecationWarning by default, such that deprecation warnings in development tools that were themselves written in Python (e.g. linters, static analysers, test runners, code generators) wouldn't be visible to their users unless they explicitly opted in to seeing them. However, this change has had the unfortunate side effect of making DeprecationWarning markedly less effective at its primary intended purpose: providing advance notice of breaking changes in APIs (whether in CPython, the standard library, or in third party libraries) to users of those APIs. To improve this situation, this PEP proposes a single adjustment to the default warnings filter: displaying deprecation warnings attributed to the main module by default. This change will mean that code entered at the interactive prompt and code in single file scripts will revert to reporting these warnings by default, while they will continue to be silenced by default for packaged code distributed as part of an importable module. The PEP also proposes a number of small adjustments to the reference interpreter and standard library documentation to help make the warnings subsystem more approachable for new Python developers. Specification ============= The current set of default warnings filters consists of:: ignore::DeprecationWarning ignore::PendingDeprecationWarning ignore::ImportWarning ignore::BytesWarning ignore::ResourceWarning The default ``unittest`` test runner then uses ``warnings.catch_warnings()`` ``warnings.simplefilter('default')`` to override the default filters while running test cases. The change proposed in this PEP is to update the default warning filter list to be:: default::DeprecationWarning:__main__ ignore::DeprecationWarning ignore::PendingDeprecationWarning ignore::ImportWarning ignore::BytesWarning ignore::ResourceWarning This means that in cases where the nominal location of the warning (as determined by the ``stacklevel`` parameter to ``warnings.warn``) is in the ``__main__`` module, the first occurrence of each DeprecationWarning will once again be reported. This change will lead to DeprecationWarning being displayed by default for: * code executed directly at the interactive prompt * code executed directly as part of a single-file script While continuing to be hidden by default for: * code imported from another module in a ``zipapp`` archive's ``__main__.py`` file * code imported from another module in an executable package's ``__main__`` submodule * code imported from an executable script wrapper generated at installation time based on a ``console_scripts`` or ``gui_scripts`` entry point definition As a result, API deprecation warnings encountered by development tools written in Python should continue to be hidden by default for users of those tools While not its originally intended purpose, the standard library documentation will also be updated to explicitly recommend the use of ``FutureWarning`` (rather than ``DeprecationWarning``) for backwards compatibility warnings that are intended to be seen by *users* of an application. This will give the following three distinct categories of backwards compatibility warning, with three different intended audiences: * ``PendingDeprecationWarning``: reported by default only in test runners that override the default set of warning filters. The intended audience is Python developers that take an active interest in ensuring the future compatibility of their software (e.g. professional Python application developers with specific support obligations). * ``DeprecationWarning``: reported by default for code that runs directly in the ``__main__`` module (as such code is considered relatively unlikely to have a dedicated test suite), but relies on test suite based reporting for code in other modules. The intended audience is Python developers that are at risk of upgrades to their dependencies (including upgrades to Python itself) breaking their software (e.g. developers using Python to script environments where someone else is in control of the timing of dependency upgrades). * ``FutureWarning``: always reported by default. The intended audience is users of applications written in Python, rather than other Python developers (e.g. warning about use of a deprecated setting in a configuration file format). Given its presence in the standard library since Python 2.3, ``FutureWarning`` would then also have a secondary use case for libraries and frameworks that support multiple Python versions: as a more reliably visible alternative to ``DeprecationWarning`` in Python 2.7 and versions of Python 3.x prior to 3.7. Motivation ========== As discussed in [1_] and mentioned in [2_], Python 2.7 and Python 3.2 changed the default handling of ``DeprecationWarning`` such that: * the warning was hidden by default during normal code execution * the ``unittest`` test runner was updated to re-enable it when running tests The intent was to avoid cases of tooling output like the following:: $ devtool mycode/ /usr/lib/python3.6/site-packages/devtool/cli.py:1: DeprecationWarning: 'async' and 'await' will become reserved keywords in Python 3.7 async = True ... actual tool output ... Even when `devtool` is a tool specifically for Python programmers, this is not a particularly useful warning, as it will be shown on every invocation, even though the main helpful step an end user can take is to report a bug to the developers of ``devtool``. The warning is even less helpful for general purpose developer tools that are used across more languages than just Python. However, this change proved to have unintended consequences for the following audiences: * anyone using a test runner other than the default one built into ``unittest`` (since the request for third party test runners to change their default warnings filters was never made explicitly) * anyone using the default ``unittest`` test runner to test their Python code in a subprocess (since even ``unittest`` only adjusts the warnings settings in the current process) * anyone writing Python code at the interactive prompt or as part of a directly executed script that didn't have a Python level test suite at all In these cases, ``DeprecationWarning`` ended up become almost entirely equivalent to ``PendingDeprecationWarning``: it was simply never seen at all. Limitations on PEP Scope ======================== This PEP exists specifically to explain both the proposed addition to the default warnings filter for 3.7, *and* to more clearly articulate the rationale for the original change to the handling of DeprecationWarning back in Python 2.7 and 3.2. This PEP does not solve all known problems with the current approach to handling deprecation warnings. Most notably: * the default ``unittest`` test runner does not currently report deprecation warnings emitted at module import time, as the warnings filter override is only put in place during test execution, not during test discovery and loading. * the default ``unittest`` test runner does not currently report deprecation warnings in subprocesses, as the warnings filter override is applied directly to the loaded ``warnings`` module, not to the ``PYTHONWARNINGS`` environment variable. * the standard library doesn't provide a straightforward way to opt-in to seeing all warnings emitted *by* a particular dependency prior to upgrading it (the third-party ``warn`` module [3_] does provide this, but enabling it involves monkeypatching the standard library's ``warnings`` module). * re-enabling deprecation warnings by default in __main__ doesn't help in handling cases where software has been factored out into support modules, but those modules still have little or no automated test coverage. Near term, the best currently available answer is to run such applications with ``PYTHONWARNINGS=default::DeprecationWarning`` or ``python -W default::DeprecationWarning`` and pay attention to their ``stderr`` output. Longer term, this is really a question for researchers working on static analysis of Python code: how to reliably find usage of deprecated APIs, and how to infer that an API or parameter is deprecated based on ``warnings.warn`` calls, without actually running either the code providing the API or the code accessing it While these are real problems with the status quo, they're excluded from consideration in this PEP because they're going to require more complex solutions than a single additional entry in the default warnings filter, and resolving them at least potentially won't require going through the PEP process. For anyone interested in pursuing them further, the first two would be ``unittest`` module enhancement requests, the third would be a ``warnings`` module enhancement request, while the last would only require a PEP if inferring API deprecations from their contents was deemed to be an intractable code analysis problem, and an explicit function and parameter marker syntax in annotations was proposed instead. References ========== .. [1] stdlib-sig thread proposing the original default filter change (https://mail.python.org/pipermail/stdlib-sig/2009-November/000789.html) .. [2] Python 2.7 notification of the default warnings filter change (https://docs.python.org/3/whatsnew/2.7.html#changes-to-the-handling-of-deprecation-warnings) .. [3] Emitting warnings based on the location of the warning itself (https://pypi.org/project/warn/) Copyright ========= This document has been placed in the public domain. .. 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