Add triage notes about redistributors

docs/html/development/issue-triage.md

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+```{note}
+This section of the documentation is currently being written. pip
+developers welcome your help to complete this documentation. If
+you're interested in helping out, please let us know in the
+[tracking issue](https://github.com/pypa/pip/issues/6583), or
+just submit a pull request and mention it in that tracking issue.
+```
+
+# Issue Triage
+
+This serves as an introduction to issue tracking in pip as well as
+how to help triage reported issues.
+
+## Issue Tracker
+
+The [pip issue tracker](https://github.com/pypa/pip/issues) is hosted on
+GitHub alongside the project.
+
+Currently, the issue tracker is used for bugs, feature requests, and general
+user support.
+
+In the pip issue tracker, we make use of labels and milestones to organize and
+track work.
+
+### Labels
+
+Issue labels are used to:
+
+1. Categorize issues
+2. Provide status information for contributors and reporters
+3. Help contributors find tasks to work on
+
+The current set of labels are divided into several categories identified by
+prefix:
+
+**C - Category**
+: which area of `pip` functionality a feature request or issue is related to
+
+**K - Kind**
+**O - Operating System**
+: for issues that are OS-specific
+
+**P - Project/Platform**
+: related to something external to `pip`
+
+**R - Resolution**
+: no more discussion is really needed, an action has been identified and the
+issue is waiting or closed
+
+**S - State**
+: for some automatic labels and other indicators that work is needed
+
+**type**
+: the role or flavor of an issue
+
+The specific labels falling into each category have a description that can be
+seen on the [Labels](https://github.com/pypa/pip/labels) page.
+
+In addition, there are several standalone labels:
+
+**good first issue**
+: this label marks an issue as beginner-friendly and shows up in banners that
+GitHub displays for first-time visitors to the repository
+
+**triage**
+: default label given to issues when they are created
+
+**trivial**
+: special label for pull requests that removes the
+{ref}`news file requirement <choosing-news-entry-type>`
+
+**needs rebase or merge**
+
+: this is a special label used by BrownTruck to mark PRs that have merge
+conflicts
+
+### Automation
+
+There are several helpers to manage issues and pull requests.
+
+Issues created on the issue tracker are automatically given the
+`triage` label by the
+[triage-new-issues](https://github.com/apps/triage-new-issues)
+bot. The label is automatically removed when another label is added.
+
+When an issue needs feedback from the author we can label it with
+`S: awaiting response`. When the author responds, the
+[no-response](https://github.com/apps/no-response) bot removes the label.
+
+After an issue has been closed for 30 days, the
+[lock](https://github.com/apps/lock) bot locks the issue and adds the
+`S: auto-locked` label. This allows us to avoid monitoring existing closed
+issues, but unfortunately prevents and references to issues from showing up as
+links on the closed issue.
+
+## Triage Issues
+
+Users can make issues for a number of reasons:
+
+1. Suggestions about pip features that could be added or improved
+2. Problems using pip
+3. Concerns about pip usability
+4. General packaging problems to be solved with pip
+5. Problems installing or using Python packages
+6. Problems managing virtual environments
+7. Problems managing Python installations
+
+To triage issues means to identify what kind of issue is happening and
+
+- confirm bugs
+- provide support
+- discuss and design around the uses of the tool
+
+Specifically, to address an issue:
+
+1. Read issue title
+2. Scan issue description
+3. Ask questions
+4. If time is available, try to reproduce
+5. Search for or remember related issues and link to them
+6. Identify an appropriate area of concern (if applicable)
+
+Keep in mind that all communication is happening with other people and
+should be done with respect per the
+[Code of Conduct](https://www.pypa.io/en/latest/code-of-conduct/).
+
+The lifecycle of an issue (bug or support) generally looks like:
+
+1. waiting for triage (marked with label `triage`)
+
+2. confirming issue - some discussion with the user, gathering
+   details, trying to reproduce the issue (may be marked with a specific
+   category, `S: awaiting-response`, `S: discussion-needed`, or
+   `S: need-repro`)
+
+3. confirmed - the issue is pretty consistently reproducible in a
+   straightforward way, or a mechanism that could be causing the issue has been
+   identified
+
+4. awaiting fix - the fix is identified and no real discussion on the issue
+   is needed, should be marked `R: awaiting PR`
+
+5. closed - can be for several reasons
+
+   - fixed
+   - could not be reproduced, no more details could be obtained, and no
+     progress can be made
+   - actual issue was with another project or related to system
+     configuration and pip cannot (or will not) be adapted for it
+
+### Requesting information
+
+Requesting more information to better understand the context and environment
+that led to the issue. Examples of specific information that may be useful
+depending on the situation:
+
+- pip debug: `pip debug`
+- pip version: `pip -V`
+- Python version: `python -VV`
+- Python path: `python -c 'import sys; print(sys.executable)'`
+- `python` on `PATH`: Unix: `which python`; Windows: `where python`
+- Python as resolved by the shell: `type python`
+- Origin of pip (get-pip.py, OS-level package manager, ensurepip, manual
+  installation)
+- Using a virtual environment (with `--system-site-packages`?)
+- Using a conda environment
+- `PATH` environment variable
+- Network situation (e.g. airgapped environment, firewalls)
+- `--verbose` output of a failing command
+- (Unix) `strace` output from a failing command (be careful not to output
+  into the same directory as a package that's being installed, otherwise pip
+  will loop forever copying the log file...)
+- (Windows)
+  [procmon](https://docs.microsoft.com/en-us/sysinternals/downloads/procmon)
+  output during a failing command
+  ([example request](https://github.com/pypa/pip/issues/6814#issuecomment-516611389))
+- Listing of files relevant to the issue (e.g. `ls -l venv/lib/pythonX.Y/problem-package.dist-info/`)
+- whether the unexpected behavior ever worked as expected - if so then what
+  were the details of the setup (same information as above)
+
+Generally, information is good to request if it can help confirm or rule out
+possible sources of error. We shouldn't request information that does not
+improve our understanding of the situation.
+
+### Reproducing issues
+
+Whenever an issue happens and the cause isn't obvious, it is important
+that we be able to reproduce it independently. This serves several purposes:
+
+1. If it is a pip bug, then any fix will need tests - a good reproducer
+   is most of the way towards that.
+2. If it is not reproducible using the provided instructions, that helps
+   rule out a lot of possible causes.
+3. A clear set of instructions is an easy way to get on the same page as
+   someone reporting an issue.
+
+The best way to reproduce an issue is with a script.
+
+A script can be copied into a file and executed, whereas shell output
+has to be manually copied a line at a time.
+
+Scripts to reproduce issues should be:
+
+- portable (few/no assumptions about the system, other that it being Unix or Windows as applicable)
+- non-destructive
+- convenient
+- require little/no setup on the part of the runner
+
+Examples:
+
+- creating and installing multiple wheels with different versions
+  ([link](https://github.com/pypa/pip/issues/4331#issuecomment-520156471))
+- using a small web server for authentication errors
+  ([link](https://github.com/pypa/pip/issues/2920#issuecomment-508953118))
+- using docker to test system or global configuration-related issues
+  ([link](https://github.com/pypa/pip/issues/5533#issuecomment-520159896))
+- using docker to test special filesystem permission/configurations
+  ([link](https://github.com/pypa/pip/issues/6364#issuecomment-507074729))
+- using docker for global installation with get-pip
+  ([link](https://github.com/pypa/pip/issues/6498#issuecomment-513501112))
+- get-pip on system with no `/usr/lib64`
+  ([link](https://github.com/pypa/pip/issues/5379#issuecomment-515270576))
+- reproducing with `pip` from current development branch
+  ([link](https://github.com/pypa/pip/issues/6707#issue-467770959))
+
+### Reaching resolution
+
+Some user support questions are more related to system configuration than pip.
+It's important to treat these issues with the same care and attention as
+others, specifically:
+
+1. Unless the issue is very old and the user doesn't seem active, wait for
+   confirmation before closing the issue
+
+2. Direct the user to the most appropriate forum for their questions:
+
+   - For Ubuntu, [askubuntu](https://askubuntu.com/)
+   - For Other linuxes/unixes, [serverfault](https://serverfault.com/)
+   - For network connectivity issues,
+     [serverfault](https://serverfault.com/)
+
+3. Just because a user support question is best solved using some other forum
+   doesn't mean that we can't make things easier. Try to extract and
+   understand from the user query how things could have been made easier for
+   them or you, for example with better warning or error messages. If an issue
+   does not exist covering that case then create one. If an issue does exist then
+   make sure to reference that issue before closing this one.
+
+4. A user may be having trouble installing a package, where the package
+   `setup.py` or build-backend configuration is non-trivial. In these cases we
+   can help to troubleshoot but the best advice is going to be to direct them
+   to the support channels for the related projects.
+
+5. Do not be hasty to assume it is one cause or another. What looks like
+   someone else's problem may still be an issue in pip or at least something
+   that could be improved.
+
+6. For general discussion on Python packaging:
+
+   - [pypa/packaging](https://github.com/pypa/packaging-problems)
+   - [discuss.python.org/packaging](https://discuss.python.org/c/packaging)
+
+### Closing issues
+
+An issue may be considered resolved and closed when:
+
+- for each possible improvement or problem represented in the issue
+  discussion:
+
+  - Consensus has been reached on a specific action and the actions
+    appear to be external to the project, with no follow up needed
+    in the project afterwards.
+
+    - PEP updates (with a corresponding issue in
+      [python/peps](https://github.com/python/peps))
+    - already tracked by another issue
+
+  - A project-specific issue has been identified and the issue no
+    longer occurs as of the latest commit on the main branch.
+
+- An enhancement or feature request no longer has a proponent and the maintainers
+  don't think it's worth keeping open.
+
+- An issue has been identified as a duplicate, and it is clearly a duplicate (i.e. the
+  original report was very good and points directly to the issue)
+
+- The issue has been fixed, and can be independently validated as no longer being an
+  issue. If this is with code then the specific change/PR that led to it should be
+  identified and posted for tracking.
+
+## Common issues
+
+1. network-related issues - any issue involving retries, address lookup, or
+   anything like that are typically network issues.
+
+2. issues related to having multiple Python versions, or an OS package
+   manager-managed pip/python installation (specifically with Debian/Ubuntu).
+   These typically present themselves as:
+
+   1. Not being able to find installed packages
+   2. basic libraries not able to be found, fundamental OS components missing
+   3. In these situations you will want to make sure that we know how they got
+      their Python and pip. Knowing the relevant package manager commands can
+      help, e.g. `dpkg -S`.
+
+## For issues caused by changes by redistributors
+
+Certain issues are caused by patches that redistributors of Python/pip
+make to Python/pip.
+
+Certain redistributors have shared preferred wording to redirect users
+to their issue trackers.
+
+Fedora, RHEL, CentOS (and probably other derivatives – Rocky, Scientific, CloudLinux):
+
+```
+This issue looks like it's caused by changes that Fedora or Red Hat
+made in their pip packaging. Please file a Fedora bug at
+https://bugzilla.redhat.com/enter_bug.cgi?product=Fedora&component=python-pip
+
+cc @encukou @hroncok
+```
+
+Debian:
+
+```
+This issue looks like it's caused by changes that Debian made in
+their pip packaging. Please file a bug with Debian, with
+`reportbug python3-pip` [Docs](https://www.debian.org/Bugs/Reporting).
+You can link to this issue in your bug report.
+
+In the meantime, you may be able to work-around your issue by upgrading
+pip inside your virtualenv: `python -m pip install -U pip`
+```
+
+Ubuntu:
+
+```
+This issue looks like it's caused by changes that Ubuntu made in
+their pip packaging. Please file a bug with Ubuntu, with
+`ubuntu-bug python3-pip` [Docs](https://help.ubuntu.com/community/ReportingBugs).
+You can link to this issue in your bug report.
+
+In the meantime, you may be able to work-around your issue by upgrading
+pip inside your virtualenv: `python -m pip install -U pip`
+```