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.. _development-workflow:
====================
Development workflow
====================
You already have your own forked copy of the matplotlib_ repository, by
following :ref:`forking`, :ref:`set-up-fork`, and you have configured
git_ by following :ref:`configure-git`.
Workflow summary
================
* Keep your ``master`` branch clean of edits that have not been merged
to the main matplotlib_ development repo. Your ``master`` then will follow
the main matplotlib_ repository.
* Start a new *feature branch* for each set of edits that you do.
* If you can avoid it, try not to merge other branches into your feature
branch while you are working.
* Ask for review!
This way of working really helps to keep work well organized, and in
keeping history as clear as possible.
See |emdash| for example |emdash| `linux git workflow`_.
Making a new feature branch
===========================
::
git checkout -b my-new-feature master
This will create and immediately check out a feature branch based on
``master``. To create a feature branch based on a maintenance branch,
use::
git fetch origin
git checkout -b my-new-feature origin/v1.0.x
Generally, you will want to keep this also on your public github_ fork
of matplotlib_. To do this, you `git push`_ this new branch up to your github_
repo. Generally (if you followed the instructions in these pages, and
by default), git will have a link to your github_ repo, called
``origin``. You push up to your own repo on github_ with::
git push origin my-new-feature
You will need to use this exact command, rather than simply ``git
push`` every time you want to push changes on your feature branch to
your github_ repo. However, in git >1.7 you can set up a link by
using the ``--set-upstream`` option::
git push --set-upstream origin my-new-feature
and then next time you need to push changes to your branch a simple
``git push`` will suffice. Note that ``git push`` pushes out all
branches that are linked to a remote branch.
The editing workflow
====================
Overview
--------
::
# hack hack
git add my_new_file
git commit -am 'NF - some message'
git push
In more detail
--------------
#. Make some changes
#. See which files have changed with ``git status`` (see `git status`_).
You'll see a listing like this one::
# On branch ny-new-feature
# Changed but not updated:
# (use "git add <file>..." to update what will be committed)
# (use "git checkout -- <file>..." to discard changes in working directory)
#
# modified: README
#
# Untracked files:
# (use "git add <file>..." to include in what will be committed)
#
# INSTALL
no changes added to commit (use "git add" and/or "git commit -a")
#. Check what the actual changes are with ``git diff`` (`git diff`_).
#. Add any new files to version control ``git add new_file_name`` (see
`git add`_).
#. To commit all modified files into the local copy of your repo,, do
``git commit -am 'A commit message'``. Note the ``-am`` options to
``commit``. The ``m`` flag just signals that you're going to type a
message on the command line. The ``a`` flag |emdash| you can just take on
faith |emdash| or see `why the -a flag?`_ |emdash| and the helpful use-case
description in the `tangled working copy problem`_. The `git commit`_ manual
page might also be useful.
#. To push the changes up to your forked repo on github_, do a ``git
push`` (see `git push`).
Asking for code review
======================
#. Go to your repo URL |emdash| e.g. ``http://github.com/your-user-name/matplotlib``.
#. Click on the *Branch list* button:
.. image:: branch_list.png
#. Click on the *Compare* button for your feature branch |emdash| here ``my-new-feature``:
.. image:: branch_list_compare.png
#. If asked, select the *base* and *comparison* branch names you want to
compare. Usually these will be ``master`` and ``my-new-feature``
(where that is your feature branch name).
#. At this point you should get a nice summary of the changes. Copy the
URL for this, and post it to the `matplotlib mailing list`_, asking for
review. The URL will look something like:
``http://github.com/your-user-name/matplotlib/compare/master...my-new-feature``.
There's an example at
http://github.com/matthew-brett/nipy/compare/master...find-install-data
See: http://github.com/blog/612-introducing-github-compare-view for
more detail.
The generated comparison, is between your feature branch
``my-new-feature``, and the place in ``master`` from which you branched
``my-new-feature``. In other words, you can keep updating ``master``
without interfering with the output from the comparison. More detail?
Note the three dots in the URL above (``master...my-new-feature``) and
see :ref:`dot2-dot3`.
Asking for your changes to be merged into the main repo
=======================================================
When you are ready to ask for the merge of your code:
#. Go to the URL of your forked repo, say
``http://github.com/your-user-name/matplotlib.git``.
#. Click on the 'Pull request' button:
.. image:: pull_button.png
Enter a message; we suggest you select only ``matplotlib`` as the
recipient. The message will go to the `matplotlib mailing list`_. Please
feel free to add others from the list as you like.
#. If the branch is to be merged into a maintenance branch on the main
repo, make sure the "base branch" indicates the maintenance branch
and not master. Github can not automatically determine the branch
to merge into.
Staying up to date with changes in the central repository
=========================================================
This updates your working copy from the upstream `matplotlib github`_
repo.
Overview
--------
::
# go to your master branch
git checkout master
# pull changes from github
git fetch upstream
# merge from upstream
git merge --ff-only upstream/master
In detail
---------
We suggest that you do this only for your ``master`` branch, and leave
your 'feature' branches unmerged, to keep their history as clean as
possible. This makes code review easier::
git checkout master
Make sure you have done :ref:`linking-to-upstream`.
Merge the upstream code into your current development by first pulling
the upstream repo to a copy on your local machine::
git fetch upstream
then merging into your current branch::
git merge --ff-only upstream/master
The ``--ff-only`` option guarantees that if you have mistakenly
committed code on your ``master`` branch, the merge fails at this point.
If you were to merge ``upstream/master`` to your ``master``, you
would start to diverge from the upstream. If this command fails, see
the section on accidents_.
The letters 'ff' in ``--ff-only`` mean 'fast forward', which is a
special case of merge where git can simply update your branch to point
to the other branch and not do any actual merging of files. For
``master`` and other integration branches this is exactly what you
want.
Other integration branches
--------------------------
Some people like to keep separate local branches corresponding to the
maintenance branches on github. At the time of this writing, ``v1.0.x``
is the active maintenance branch. If you have such a local branch,
treat is just as ``master``: don't commit on it, and before starting
new branches off of it, update it from upstream::
git checkout v1.0.x
git fetch upstream
git merge --ff-only upstream/v1.0.x
But you don't necessarily have to have such a branch. Instead, if you
are preparing a bugfix that applies to the maintenance branch, fetch
from upstream and base your bugfix on the remote branch::
git fetch upstream
git checkout -b my-bug-fix upstream/v1.0.x
.. _accidents:
Recovering from accidental commits on master
--------------------------------------------
If you have accidentally committed changes on ``master`` and
``git merge --ff-only`` fails, don't panic! First find out how much
you have diverged::
git diff upstream/master...master
If you find that you want simply to get rid of the changes, reset
your ``master`` branch to the upstream version::
git reset --hard upstream/master
As you might surmise from the words 'reset' and 'hard', this command
actually causes your changes to the current branch to be lost, so
think twice.
If, on the other hand, you find that you want to preserve the changes,
create a feature branch for them::
git checkout -b my-important-changes
Now ``my-important-changes`` points to the branch that has your
changes, and you can safely reset ``master`` as above |emdash| but
make sure to reset the correct branch::
git checkout master
git reset --hard upstream/master
Deleting a branch on github_
============================
::
git checkout master
# delete branch locally
git branch -D my-unwanted-branch
# delete branch on github
git push origin :my-unwanted-branch
(Note the colon ``:`` before ``test-branch``. See also:
http://github.com/guides/remove-a-remote-branch
Several people sharing a single repository
==========================================
If you want to work on some stuff with other people, where you are all
committing into the same repository, or even the same branch, then just
share it via github_.
First fork matplotlib into your account, as from :ref:`forking`.
Then, go to your forked repository github page, say
``http://github.com/your-user-name/matplotlib``
Click on the 'Admin' button, and add anyone else to the repo as a
collaborator:
.. image:: pull_button.png
Now all those people can do::
git clone git@githhub.com:your-user-name/matplotlib.git
Remember that links starting with ``git@`` use the ssh protocol and are
read-write; links starting with ``git://`` are read-only.
Your collaborators can then commit directly into that repo with the
usual::
git commit -am 'ENH - much better code'
git push origin master # pushes directly into your repo
Exploring your repository
=========================
To see a graphical representation of the repository branches and
commits::
gitk --all
To see a linear list of commits for this branch::
git log
You can also look at the `network graph visualizer`_ for your github_
repo.
.. include:: links.inc
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