11. Triaging an Issue

When you have the Developer role on the issue tracker you are able to triage issues directly without any assistance.

11.1. Fields

11.1.1. Title

Should be properly descriptive of what the issue is about. Occasionally people file an issue that either has too generic of a title or end up thinking they filed about X but in fact it turns out to be about Y and thus the title is now wrong.

11.1.2. Type

Describes the type of issue. If something does not fit within any specific type then simply do not set it.

behavior
Wrong or unexpected behavior, result, or exception. This includes most of the bugs.
crash
Hard crashes of the Python interpreter – possibly with a core dump or a Windows error box.
compile error
Errors reported by the compiler while compiling Python.
resource usage
Situations where too many resources (e.g. memory) are used.
security
Issues that might have security implications. If you think the issue should not be made public, please report it to security@python.org instead.
performance
Situations where too much time is necessary to complete the task.
enhancement
Issues that propose the addition of new functionality, such as new functions, classes, modules, or even new arguments for existing functions. Also used for improvements in the documentation and test suite and for other refactorings.

11.1.3. Stage

What is needed next to advance the issue. The stage needn’t be set until it is clear that the issue warrants fixing.

test needed
The bug reporter should post a script or instructions to let a triager or developer reproduce the issue.
needs patch
The issue lacks a patch to solve the problem (i.e. fixing the bug, or adding the requested improvement).
patch review
There is a patch, but it needs reviewing or is in the process of being reviewed. This can be done by any triager as well as a core developer.
commit review
A triager performed a patch review and it looks good to them, but a core developer needs to commit the patch (and do a quick once-over to make sure nothing was overlooked).
committed/rejected
The issue is considered closed and dealt with.

11.1.4. Components

What part of Python is affected by the issue. This is a multi-select field. Be aware that what component is chosen may cause the issue to be auto-assigned, i.e. the issue tracker may automatically fill in the Assigned To field after you press Submit changes.

The following component(s) should be selected if the issue applies to:

2to3 (2.x to 3.0 conversion tool)
The 2to3 conversion tool in Lib/lib2to3.
Benchmarks
The benchmarks in the benchmarks repo.
Build
The build process.
ctypes
The ctypes package in Lib/ctypes.
Demos and Tools
The files in Tools and Tools/demo.
Devguide
The Developer’s guide.
Distutils
The distutils package in Lib/distutils.
Distutils2
The packaging module in Lib/packaging.
Documentation
The documentation in Doc (used to build the HTML doc at http://docs.python.org/).
email
The email package and related modules.
Extension Modules
C modules in Modules.
IDLE
The Lib/idlelib package.
Installation
The installation process.
Interpreter Core
The interpreter core, the built-in objects in Objects, the Python, Grammar and Parser dirs.
IO
The I/O system, Lib/io.py and Modules/_io.
Library (Lib)
Python modules in Lib.
Macintosh
The Mac OS X operating system.
Regular Expressions
The Lib/re.py and Modules/_sre.c modules.
Tests

The unittest and doctest frameworks in Lib/unittest and Lib/doctest.py.

The CPython tests in Lib/test, the test runner in Lib/test/regrtest.py and the Lib/test/support.py module.

Tkinter
The Lib/tkinter package.
Unicode
Unicode, codecs, str vs bytes, Objects/unicodeobject.c.
Windows
The Windows operating system.
XML
The Lib/xml package.

11.1.5. Versions

The known versions of Python that the issue affects and should be fixed for. Thus if an issue for a new feature is assigned for e.g., Python 3.3 but is not applied before Python 3.3.0 is released, this field should be updated to say Python 3.4 as the version and drop Python 3.3.

11.1.6. Priority

How important is this issue?

low
This is for low-impact bugs, or feature requests of little utility.
normal
The default value for most issues, which deserve fixing but without any urgency to do so.
high
Make some effort to fix the issue before the next final release.
critical
This issue should definitely be fixed before the next final release.
deferred blocker
The issue will not hold up the next release, but will be promoted to a release blocker for the following release, e.g., won’t block the next release of a1 but will block a2.
release blocker
The issue must be fixed before any release is made, e.g., will block the next release even if it is an alpha release.

As a guideline, critical and above are usually reserved for crashes, serious regressions or breakage of very important APIs. Whether a bug is a release blocker is a decision better left to the release manager so, in any doubt, add him or her to the nosy list.

11.1.7. Keywords

Various flags about the issue. Multiple values are possible.

buildbot
A buildbot triggered the issue being reported.
easy
Fixing the issue should not take longer than a day for someone new to contributing to Python to solve.
gsoc
The issue would fit as, or is related to, a GSoC project.
needs review
The patch attached to the issue is in need of a review.
patch
There is a patch attached to the issue.
3.3regression
The issue is a regression in 3.3.

11.1.8. Nosy List

A list of people who may be interested in an issue. It is acceptable to add someone to the nosy list if you think the issue should be brought to their attention. Use the Experts Index to know who wants to be added to the nosy list for issues targeting specific areas.

If you are logged in and have JavaScript enabled, you can use the [+] button to add yourself to the nosy list (remember to click on “Submit Changes” afterwards). Note that you are added to the nosy automatically when you submit a message. The nosy list also has an autocomplete that lets you search from the lists of developers and Experts Index. The search is case-insensitive and works for real names, modules, interest areas, etc., and only adds the username(s) to the nosy once an entry is selected.

11.1.9. Assigned To

Who is expected to take the next step in resolving the issue. It is acceptable to assign an issue to someone if the issue cannot move forward without their help, e.g., they need to make a technical decision to allow the issue to move forward. Also consult the Experts Index as certain stdlib modules should always be assigned to a specific person.

11.1.10. Dependencies

The issue requires the listed issue(s) to be resolved first before it can move forward.

11.1.11. Superseder

The issue is a duplicate of the listed issue(s).

11.1.12. Status

open
Issue is not resolved.
languishing
The issue has no clear solution , e.g., no agreement on a technical solution or if it is even a problem worth fixing.
pending
The issue is blocked until someone (often the OP) provides some critical information; the issue will be closed after a set amount of time if no reply comes in. Useful when someone opens an issue that lacks enough information to reproduce the bug reported. Requesting additional information and setting status to pending indicates that the issue should be closed if the necessary information is never provided.
closed
The issue has been resolved (somehow).

11.1.13. Resolution

Why the issue is in its current state (not usually used for “open”).

duplicate
Duplicate of another issue; should have the Superseder field filled out.
fixed
A fix for the issue was committed.
invalid
For some reason the issue is invalid (e.g. the perceived problem is not a bug in Python).
later
Issue is to be worked on at a later date.
out of date
The issue has already been fixed, or the problem doesn’t exist anymore for other reasons.
postponed
Issue will not be worked on at the moment.
rejected
Issue was rejected (especially for feature requests).
remind
The issue is acting as a reminder for someone.
wont fix
Issue will not be fixed, typically because it would cause a backwards-compatibility problem.
works for me
Bug cannot be reproduced.

11.1.14. Mercurial Repository

HTTP link to a Mercurial repository that contains a patch for the issue. A Create Patch button will appear that computes a diff for the head revision of the remote branch and attaches it to the issue. The button supports only CPython patches.

If you don’t indicate a remote branch, default is used. You can indicate a remote branch by adding #BRANCH to the end of the URL.