367 lines
17 KiB
Plaintext
367 lines
17 KiB
Plaintext
PEP: 481
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Title: Migrate CPython to Git, Github, and Phabricator
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Version: $Revision$
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Last-Modified: $Date$
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Author: Donald Stufft <donald@stufft.io>
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Status: Withdrawn
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Type: Process
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Content-Type: text/x-rst
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Created: 29-Nov-2014
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Post-History: 29-Nov-2014
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Abstract
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========
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.. note:: This PEP has been withdrawn, if you're looking for the PEP
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documenting the move to Github, please refer to PEP 512.
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This PEP proposes migrating the repository hosting of CPython and the
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supporting repositories to Git and Github. It also proposes adding Phabricator
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as an alternative to Github Pull Requests to handle reviewing changes. This
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particular PEP is offered as an alternative to PEP 474 and PEP 462 which aims
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to achieve the same overall benefits but restricts itself to tools that support
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Mercurial and are completely Open Source.
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Rationale
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=========
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CPython is an open source project which relies on a number of volunteers
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donating their time. As an open source project it relies on attracting new
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volunteers as well as retaining existing ones in order to continue to have
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a healthy amount of manpower available. In addition to increasing the amount of
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manpower that is available to the project, it also needs to allow for effective
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use of what manpower *is* available.
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The current toolchain of the CPython project is a custom and unique combination
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of tools which mandates a workflow that is similar to one found in a lot of
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older projects, but which is becoming less and less popular as time goes on.
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The one-off nature of the CPython toolchain and workflow means that any new
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contributor is going to need spend time learning the tools and workflow before
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they can start contributing to CPython. Once a new contributor goes through
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the process of learning the CPython workflow they also are unlikely to be able
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to take that knowledge and apply it to future projects they wish to contribute
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to. This acts as a barrier to contribution which will scare off potential new
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contributors.
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In addition the tooling that CPython uses is under-maintained, antiquated,
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and it lacks important features that enable committers to more effectively use
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their time when reviewing and approving changes. The fact that it is
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under-maintained means that bugs are likely to last for longer, if they ever
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get fixed, as well as it's more likely to go down for extended periods of time.
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The fact that it is antiquated means that it doesn't effectively harness the
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capabilities of the modern web platform. Finally the fact that it lacks several
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important features such as a lack of pre-testing commits and the lack of an
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automatic merge tool means that committers have to do needless busy work to
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commit even the simplest of changes.
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Version Control System
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----------------------
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The first decision that needs to be made is the VCS of the primary server side
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repository. Currently the CPython repository, as well as a number of supporting
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repositories, uses Mercurial. When evaluating the VCS we must consider the
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capabilities of the VCS itself as well as the network effect and mindshare of
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the community around that VCS.
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There are really only two real options for this, Mercurial and Git. Between the
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two of them the technical capabilities are largely equivalent. For this reason
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this PEP will largely ignore the technical arguments about the VCS system and
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will instead focus on the social aspects.
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It is not possible to get exact numbers for the number of projects or people
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which are using a particular VCS, however we can infer this by looking at
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several sources of information for what VCS projects are using.
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The Open Hub (previously Ohloh) statistics [#openhub-stats]_ show that 37% of
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the repositories indexed by The Open Hub are using Git (second only to SVN
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which has 48%) while Mercurial has just 2% (beating only bazaar which has 1%).
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This has Git being just over 18 times as popular as Mercurial on The Open Hub.
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Another source of information on the popular of the difference VCSs is PyPI
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itself. This source is more targeted at the Python community itself since it
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represents projects developed for Python. Unfortunately PyPI does not have a
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standard location for representing this information, so this requires manual
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processing. If we limit our search to the top 100 projects on PyPI (ordered
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by download counts) we can see that 62% of them use Git while 22% of them use
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Mercurial while 13% use something else. This has Git being just under 3 times
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as popular as Mercurial for the top 100 projects on PyPI.
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Obviously from these numbers Git is by far the more popular DVCS for open
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source projects and choosing the more popular VCS has a number of positive
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benefits.
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For new contributors it increases the likelihood that they will have already
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learned the basics of Git as part of working with another project or if they
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are just now learning Git, that they'll be able to take that knowledge and
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apply it to other projects. Additionally a larger community means more people
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writing how to guides, answering questions, and writing articles about Git
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which makes it easier for a new user to find answers and information about
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the tool they are trying to learn.
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Another benefit is that by nature of having a larger community, there will be
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more tooling written *around* it. This increases options for everything from
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GUI clients, helper scripts, repository hosting, etc.
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Repository Hosting
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------------------
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This PEP proposes allowing GitHub Pull Requests to be submitted, however GitHub
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does not have a way to submit Pull Requests against a repository that is not
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hosted on GitHub. This PEP also proposes that in addition to GitHub Pull
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Requests Phabricator's Differential app can also be used to submit proposed
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changes and Phabricator *does* allow submitting changes against a repository
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that is not hosted on Phabricator.
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For this reason this PEP proposes using GitHub as the canonical location of
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the repository with a read-only mirror located in Phabricator. If at some point
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in the future GitHub is no longer desired, then repository hosting can easily
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be moved to solely in Phabricator and the ability to accept GitHub Pull
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Requests dropped.
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In addition to hosting the repositories on Github, a read only copy of all
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repositories will also be mirrored onto the PSF Infrastructure.
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Code Review
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-----------
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Currently CPython uses a custom fork of Rietveld which has been modified to
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not run on Google App Engine which is really only able to be maintained
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currently by one person. In addition it is missing out on features that are
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present in many modern code review tools.
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This PEP proposes allowing both Github Pull Requests and Phabricator changes
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to propose changes and review code. It suggests both so that contributors can
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select which tool best enables them to submit changes, and reviewers can focus
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on reviewing changes in the tooling they like best.
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GitHub Pull Requests
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~~~~~~~~~~~~~~~~~~~~
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GitHub is a very popular code hosting site and is increasingly becoming the
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primary place people look to contribute to a project. Enabling users to
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contribute through GitHub is enabling contributors to contribute using tooling
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that they are likely already familiar with and if they are not they are likely
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to be able to apply to another project.
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GitHub Pull Requests have a fairly major advantage over the older "submit a
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patch to a bug tracker" model. It allows developers to work completely within
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their VCS using standard VCS tooling so it does not require creating a patch
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file and figuring out what the right location is to upload it to. This lowers
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the barrier for sending a change to be reviewed.
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On the reviewing side, GitHub Pull Requests are far easier to review, they have
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nice syntax highlighted diffs which can operate in either unified or side by
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side views. They allow expanding the context on a diff up to and including the
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entire file. Finally they allow commenting inline and on the pull request as
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a whole and they present that in a nice unified way which will also hide
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comments which no longer apply. Github also provides a "rendered diff" view
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which enables easily viewing a diff of rendered markup (such as rst) instead
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of needing to review the diff of the raw markup.
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The Pull Request work flow also makes it trivial to enable the ability to
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pre-test a change before actually merging it. Any particular pull request can
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have any number of different types of "commit statuses" applied to it, marking
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the commit (and thus the pull request) as either in a pending, successful,
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errored, or failure state. This makes it easy to see inline if the pull request
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is passing all of the tests, if the contributor has signed a CLA, etc.
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Actually merging a Github Pull Request is quite simple, a core reviewer simply
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needs to press the "Merge" button once the status of all the checks on the
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Pull Request are green for successful.
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GitHub also has a good workflow for submitting pull requests to a project
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completely through their web interface. This would enable the Python
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documentation to have "Edit on GitHub" buttons on every page and people who
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discover things like typos, inaccuracies, or just want to make improvements to
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the docs they are currently writing can simply hit that button and get an in
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browser editor that will let them make changes and submit a pull request all
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from the comfort of their browser.
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Phabricator
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~~~~~~~~~~~
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In addition to GitHub Pull Requests this PEP also proposes setting up a
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Phabricator instance and pointing it at the GitHub hosted repositories. This
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will allow utilizing the Phabricator review applications of Differential and
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Audit.
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Differential functions similarly to GitHub pull requests except that they
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require installing the ``arc`` command line tool to upload patches to
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Phabricator.
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Whether to enable Phabricator for any particular repository can be chosen on
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a case-by-case basis, this PEP only proposes that it must be enabled for the
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CPython repository, however for smaller repositories such as the PEP repository
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it may not be worth the effort.
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Criticism
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=========
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X is not written in Python
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--------------------------
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One feature that the current tooling (Mercurial, Rietveld) has is that the
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primary language for all of the pieces are written in Python. It is this PEPs
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belief that we should focus on the *best* tools for the job and not the *best*
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tools that happen to be written in Python. Volunteer time is a precious
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resource to any open source project and we can best respect and utilize that
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time by focusing on the benefits and downsides of the tools themselves rather
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than what language their authors happened to write them in.
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One concern is the ability to modify tools to work for us, however one of
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the Goals here is to *not* modify software to work for us and instead adapt
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ourselves to a more standard workflow. This standardization pays off in the
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ability to re-use tools out of the box freeing up developer time to actually
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work on Python itself as well as enabling knowledge sharing between projects.
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However, if we do need to modify the tooling, Git itself is largely written in
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C the same as CPython itself is. It can also have commands written for it using
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any language, including Python. Phabricator is written in PHP which is a fairly
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common language in the web world and fairly easy to pick up. GitHub itself is
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largely written in Ruby but given that it's not Open Source there is no ability
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to modify it so it's implementation language is completely meaningless.
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GitHub is not Free/Open Source
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------------------------------
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GitHub is a big part of this proposal and someone who tends more to ideology
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rather than practicality may be opposed to this PEP on that grounds alone. It
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is this PEPs belief that while using entirely Free/Open Source software is an
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attractive idea and a noble goal, that valuing the time of the contributors by
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giving them good tooling that is well maintained and that they either already
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know or if they learn it they can apply to other projects is a more important
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concern than treating whether something is Free/Open Source is a hard
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requirement.
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However, history has shown us that sometimes benevolent proprietary companies
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can stop being benevolent. This is hedged against in a few ways:
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* We are not utilizing the GitHub Issue Tracker, both because it is not
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powerful enough for CPython but also because for the primary CPython
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repository the ability to take our issues and put them somewhere else if we
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ever need to leave GitHub relies on GitHub continuing to allow API access.
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* We are utilizing the GitHub Pull Request workflow, however all of those
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changes live inside of Git. So a mirror of the GitHub repositories can easily
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contain all of those Pull Requests. We would potentially lose any comments if
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GitHub suddenly turned "evil", but the changes themselves would still exist.
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* We are utilizing the GitHub repository hosting feature, however since this is
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just git moving away from GitHub is as simple as pushing the repository to
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a different location. Data portability for the repository itself is extremely
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high.
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* We are also utilizing Phabricator to provide an alternative for people who
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do not wish to use GitHub. This also acts as a fallback option which will
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already be in place if we ever need to stop using GitHub.
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Relying on GitHub comes with a number of benefits beyond just the benefits of
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the platform itself. Since it is a commercially backed venture it has a full-time
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staff responsible for maintaining its services. This includes making sure
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they stay up, making sure they stay patched for various security
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vulnerabilities, and further improving the software and infrastructure as time
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goes on.
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Mercurial is better than Git
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----------------------------
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Whether Mercurial or Git is better on a technical level is a highly subjective
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opinion. This PEP does not state whether the mechanics of Git or Mercurial is
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better and instead focuses on the network effect that is available for either
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option. Since this PEP proposes switching to Git this leaves the people who
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prefer Mercurial out, however those users can easily continue to work with
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Mercurial by using the hg-git [#hg-git]_ extension for Mercurial which will
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let it work with a repository which is Git on the serverside.
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CPython Workflow is too Complicated
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-----------------------------------
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One sentiment that came out of previous discussions was that the multi branch
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model of CPython was too complicated for Github Pull Requests. It is the belief
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of this PEP that statement is not accurate.
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Currently any particular change requires manually creating a patch for 2.7 and
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3.x which won't change at all in this regards.
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If someone submits a fix for the current stable branch (currently 3.4) the
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GitHub Pull Request workflow can be used to create, in the browser, a Pull
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Request to merge the current stable branch into the master branch (assuming
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there is no merge conflicts). If there is a merge conflict that would need to
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be handled locally. This provides an improvement over the current situation
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where the merge must always happen locally.
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Finally if someone submits a fix for the current development branch currently
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then this has to be manually applied to the stable branch if it desired to
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include it there as well. This must also happen locally as well in the new
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workflow, however for minor changes it could easily be accomplished in the
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GitHub web editor.
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Looking at this, I do not believe that *any* system can hide the complexities
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involved in maintaining several long running branches. The only thing that the
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tooling can do is make it as easy as possible to submit changes.
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Example: Scientific Python
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==========================
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One of the key ideas behind the move to both git and Github is that a feature
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of a DVCS, the repository hosting, and the workflow used is the social network
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and size of the community using said tools. We can see this is true by looking
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at an example from a sub-community of the Python community: The Scientific
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Python community. They have already migrated most of the key pieces of the
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SciPy stack onto Github using the Pull Request-based workflow. This process
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started with IPython, and as more projects moved over it became a natural
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default for new projects in the community.
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They claim to have seen a great benefit from this move, in that it enables
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casual contributors to easily move between different projects within their
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sub-community without having to learn a special, bespoke workflow and a
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different toolchain for each project. They've found that when people can use
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their limited time on actually contributing instead of learning the different
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tools and workflows, not only do they contribute more to one project, but
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that they also expand out and contribute to other projects. This move has also
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been attributed to the increased tendency for members of that community to go
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so far as publishing their research and educational materials on Github as
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well.
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This example showcases the real power behind moving to a highly popular
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toolchain and workflow, as each variance introduces yet another hurdle for new
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and casual contributors to get past and it makes the time spent learning that
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workflow less reusable with other projects.
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References
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==========
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.. [#openhub-stats] `Open Hub Statistics <https://www.openhub.net/repositories/compare>`
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.. [#hg-git] `Hg-Git mercurial plugin <https://hg-git.github.io/>`
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Copyright
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=========
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This document has been placed in the public domain.
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..
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Local Variables:
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mode: indented-text
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indent-tabs-mode: nil
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sentence-end-double-space: t
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fill-column: 70
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coding: utf-8
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End:
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