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Kirill Smelkov
slapos.buildout
Commits
8abbd0be
Commit
8abbd0be
authored
Feb 15, 2017
by
Jim Fulton
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doc/contents.rst
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topics/index
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8abbd0be
=============================
Getting
started
with
Buildout
=============================
..
contents
::
..
note
::
In
the
Buildout
documentation
,
we
'll use the word
*buildout* to refer to:
- The Buildout software
We'
ll
capitalize
the
word
when
we
do
this
.
-
A
particular
application
of
Buildout
,
which
has
a
buildout
configuration
.
We
'll use lower case to refer to these.
- A ``buildout`` section in a Buildout configuration (in a
particular buildout).
We'
ll
use
a
lowercase
fix
-
width
font
for
these
.
First
steps
===========
The
easiest
way
to
install
Buildout
is
with
pip
::
pip
install
zc
.
buildout
To
use
Buildout
,
you
need
to
provide
a
Buildout
configuration
.
Here
is
a
minimal
configuration
::
[
buildout
]
parts
=
A
minimal
(
and
useless
)
Buildout
configuration
has
a
``
buildout
``
section
with
a
parts
option
.
If
we
run
Buildout
::
buildout
Four
directories
are
created
:
bin
A
directory
to
hold
executables
.
develop
-
eggs
A
directory
to
hold
develop
egg
links
.
More
about
these
later
.
eggs
A
directory
that
hold
installed
packages
in
egg
[#
egg
]
_
format
.
parts
A
directory
that
provides
a
default
location
for
installed
parts
.
Buildout
configuration
files
use
an
`
INI
syntax
<
https
://
en
.
wikipedia
.
org
/
wiki
/
INI_file
>`
_
[#
configparser
]
_
.
Configuration
is
arranged
in
sections
,
beginning
with
section
names
in
square
brackets
.
Section
options
are
names
,
followed
by
equal
signs
,
followed
by
values
.
Values
may
be
continued
over
multiple
lines
as
long
as
the
continuation
lines
start
with
whitespace
.
Buildout
is
all
about
building
stuff
and
the
stuff
to
be
built
are
specified
using
*
parts
*.
The
parts
to
be
built
are
listed
in
the
``
parts
``
option
.
For
each
part
,
there
must
be
a
section
with
the
same
name
that
names
the
software
to
build
the
part
and
optionally
provides
parameters
to
control
how
the
part
is
built
.
Installing
software
===================
In
this
tutorial
,
we
're going to install a simple database server.
The details of the server aren'
t
important
.
It
just
provides
a
useful
example
that
illustrates
a
number
of
ways
that
Buildout
can
make
things
easier
.
We
'll start by adding a part to install the server software. We'
ll
update
our
Buildout
configuration
to
add
a
``
zeo
``
part
::
[
buildout
]
parts
=
zeo
[
zeo
]
recipe
=
zc
.
recipe
.
egg
eggs
=
ZEO
We
added
the
part
name
,
``
zeo
``
to
the
``
parts
``
option
in
the
``
buildout
``
section
.
We
also
added
a
``
zeo
``
section
with
two
options
:
recipe
The
standard
``
recipe
``
option
names
the
software
component
that
will
implement
the
part
.
The
value
is
a
Python
distribution
requirement
,
as
would
be
used
with
``
pip
``.
In
this
case
,
we
've
specified `zc.recipe.egg
<https://pypi.python.org/pypi/zc.recipe.egg>`_ which is the name of
a Python project that provides a number of recipe implementations.
eggs
A list of distribution requirements, one per
line. [#requirements-one-per-line]_ (The name of this option is
unfortunate, because the values are requirements, not egg names.)
Listed requirements are installed, along with their dependencies. In
addition, any scripts provided by the listed requirements (but not
their dependencies) are installed in the ``bin`` directory.
If we run this [#gcc]_::
buildout
Then a number of things will happen:
- ``zc.recipe.egg`` will be downloaded and installed in your ``eggs``
directory.
- ``ZEO`` and its dependencies will be downloaded and installed. (ZEO
is a small Python database server.)
- A number of scripts will be installed in the ``bin`` directory. One
in particular, ``runzeo`` is used to run a ZEO server.
Generating configuration and custom scripts
===========================================
The ``runzeo`` program doesn'
t
daemonize
itself
.
Rather
,
it
's meant to
be used with a dedicated daemonizer like `zdaemon
<https://pypi.python.org/pypi/zdaemon>`_ or `supervisord
<http://supervisord.org/>`_. We'
ll
use
a
`
recipe
to
set
up
zdaemon
<
https
://
pypi
.
python
.
org
/
pypi
/
zc
.
zdaemonrecipe
>`
_
.
Our
Buildout
configuration
becomes
::
[
buildout
]
parts
=
zeo
server
[
zeo
]
recipe
=
zc
.
recipe
.
egg
eggs
=
ZEO
[
server
]
recipe
=
zc
.
zdaemonrecipe
program
=
${
buildout
:
bin
-
directory
}/
runzeo
-
f
${
buildout
:
directory
}/
data
.
fs
-
a
127.0.0.1
:
8200
Here
we
've added a new ``server`` part that uses ``zc.zdaemonrecipe``.
We used a ``program`` option to define what program should be run.
There are a couple of interesting things to note about this option:
- We used :doc:`variable substitutions
<topics/variables-extensing-and-substitutions>`:
``${buildout:directory}``
Expands to the full path of the buildout directory.
``${buildout:bin-directory}``
Expands to the full path of the buildout'
s
``
bin
``
directory
.
Variable
substitution
provides
a
way
to
access
Buildout
settings
and
share
information
between
parts
and
avoid
repetition
.
-
We
spread
the
program
over
multiple
lines
.
A
configuration
value
can
be
spread
over
multiple
lines
as
long
as
the
continuation
lines
begin
with
whitespace
.
The
interpretation
of
a
value
is
up
to
the
recipe
that
uses
it
.
The
``
zc
.
zdaemonrecipe
``
recipe
combines
the
program
value
into
a
single
line
.
If
we
run
Buildout
::
buildout
-
The
``
zc
.
zdaemonrecipe
``
recipe
will
be
downloaded
and
installed
in
the
eggs
directory
.
-
A
``
server
``
script
is
added
to
the
``
bin
``
directory
.
This
script
is
generated
by
the
recipe
.
It
can
be
run
like
::
bin
.
server
start
to
start
a
server
and
::
bin
.
server
stop
to
stop
it
.
The
script
references
a
zdaemon
configuration
file
generated
by
the
recipe
in
``
parts
/
server
/
zdaemon
.
conf
``.
-
A
zdaemon
configuration
script
is
generated
in
``
parts
/
server
/
zdaemon
.
conf
``
that
looks
something
like
::
<
runner
>
daemon
on
directory
/
Users
/
jim
/
t
/
0214
/
parts
/
server
program
/
Users
/
jim
/
t
/
0214
/
bin
/
runzeo
-
f
/
Users
/
jim
/
t
/
0214
/
data
.
fs
-
a
127.0.0.1
:
8200
socket
-
name
/
Users
/
jim
/
t
/
0214
/
parts
/
server
/
zdaemon
.
sock
transcript
/
Users
/
jim
/
t
/
0214
/
parts
/
server
/
transcript
.
log
</
runner
>
<
eventlog
>
<
logfile
>
path
/
Users
/
jim
/
t
/
0214
/
parts
/
server
/
transcript
.
log
</
logfile
>
</
eventlog
>
The
**
details
aren
't important**, other than the fact that the script
reflects part options and the actual buildout location.
Version control
===============
In this example, the only file that needs to be checked into version
control is the configuration file, ``buildout.cfg``. Everything else
is generated. Someone else could check out the project, and get the
same result [#if-same-environment]_.
More than just a package installer
==================================
The example shown above illustrates how Buildout is more than just a
package installer, like ``pip``. Using Buildout recipes, we can
install custom scripts and configuration files, and much more. For
example, we could use `configure and make
<https://pypi.python.org/pypi/zc.recipe.cmmi>`_ to install non-Python
software from source, we could run JavaScript builders, or do anything
else that can be automated with Python.
Buildout is a simple automation framework. There are hundreds of
recipes to choose from and :doc:`writing new recipes is easy
<topics/writing-recipes>`.
Repeatability
=============
A major goal of Buildout is to provide repeatability. But what does
this mean exactly?
If two buildouts with the same configuration are built in the same
environments at the same time, they should produce the same result,
regardless of their build history.
That definition is rather dense. Let'
s
look
at
the
pieces
:
Buildout
environment
--------------------
A
Buildout
environment
includes
the
operating
system
and
the
Python
installation
it
's run with. The more a buildout depends on its
environment, the more variation is likely between builds.
If a Python installation is shared, packages installed by one
application affect other applications, including buildouts. This can
lead to unexpected errors. This is why it'
s
recommended
to
use
a
`
virtual
environment
<
https
://
virtualenv
.
pypa
.
io
/
en
/
stable
/>`
_
or
a
"clean python"
built
from
source
with
no
third
-
party
packages
installed
.
(
It
's a little hypocritical to recommend installing Buildout into an
otherwise clean environment, which is why Buildout provides a
:doc:`bootstrapping mechanism <topics/bootstrapping>` which allows
setting up a buildout without having to sully a virtual environment or
clean Python install.)
To limit dependence on the operating system, people sometimes install
libraries or even database servers as Buildout parts.
Modern Linux container technology (e.g. `Docker
<https://www.docker.com/>`_) makes it a lot easier to control the
environment. If you develop entirely with respect to a particular
container image, you can have repeatability with respect to that
image, which is usually good enough because the environment, defined
by the image is itself repeatable and unshared with other
applications.
Python requirement versions
---------------------------
Another potential source of variation is the versions of Python
dependencies used.
Newest versions
_______________
If you don'
t
specify
versions
,
Buildout
will
always
try
to
get
the
most
recent
version
of
everything
it
installs
.
This
is
a
major
reason
that
Buildout
can
be
slow
.
It
checks
for
new
versions
every
time
it
runs
.
It
does
this
to
satisfy
the
repeatability
requirement
above
.
If
it
didn
't do this, then an older buildout would likely have
different versions of Python packages than newer buildouts.
To speed things up, you can use the ``-N`` Buildout option to tell
Buildout to *not* check for newer versions of Python requirements::
buildout -N
This relaxes repeatability, but with little risk if there was a recent
run without this option.
Pinned versions
_______________
You can also pin required versions in two ways. You can specify them
where you list them, as in::
[zeo]
recipe = zc.recipe.egg
eggs = ZEO <5.0
In this example, we'
ve
requested
a
version
of
ZEO
less
than
5.0
.
The
more
common
way
to
pin
version
is
using
a
``
versions
``
section
::
[
buildout
]
parts
=
zeo
server
[
zeo
]
recipe
=
zc
.
recipe
.
egg
eggs
=
ZEO
[
server
]
recipe
=
zc
.
zdaemonrecipe
program
=
${
buildout
:
bin
-
directory
}/
runzeo
-
f
${
buildout
:
directory
}/
data
.
fs
-
a
127.0.0.1
:
8200
[
versions
]
ZEO
=
5.0.4
Larger
projects
may
need
to
pin
many
versions
,
so
it
's common to put
versions in their own file::
[buildout]
extends = versions.cfg
parts = zeo server
[zeo]
recipe = zc.recipe.egg
eggs = ZEO
[server]
recipe = zc.zdaemonrecipe
program =
${buildout:bin-directory}/runzeo
-f ${buildout:directory}/data.fs
-a 127.0.0.1:8200
Here, we'
ve
used
the
Buildout
``
extends
``
option
to
say
that
configurations
should
be
read
from
the
named
file
(
or
files
)
and
that
configuration
in
the
current
file
should
override
configuration
in
the
extended
files
.
To
continue
the
example
,
our
``
versions
.
cfg
``
file
might
look
like
::
[
versions
]
ZEO
=
5.0.4
We
can
use
the
``
update
-
versions
-
file
``
option
to
ask
Buildout
to
maintain
our
``
versions
.
cfg
``
file
for
us
::
[
buildout
]
extends
=
versions
.
cfg
show
-
picked
-
versions
=
true
update
-
versions
-
file
=
versions
.
cfg
parts
=
zeo
server
[
zeo
]
recipe
=
zc
.
recipe
.
egg
eggs
=
ZEO
[
server
]
recipe
=
zc
.
zdaemonrecipe
program
=
${
buildout
:
bin
-
directory
}/
runzeo
-
f
${
buildout
:
directory
}/
data
.
fs
-
a
127.0.0.1
:
8200
With
``
update
-
versions
-
file
``,
whenever
Buildout
gets
the
newest
version
for
a
requirement
(
subject
to
requirement
constraints
),
it
appends
the
version
to
the
named
file
,
along
with
a
comment
saying
when
and
why
the
requirement
is
installed
.
If
you
later
want
to
upgrade
a
dependency
,
just
edit
this
file
with
the
new
version
,
or
to
remove
the
entry
altogether
and
Buildout
will
add
a
new
entry
the
next
time
it
runs
.
We
also
used
the
``
show
-
picked
-
versions
``
to
tell
Buildout
to
tell
us
when
it
got
(
picked
)
the
newest
version
of
a
requirement
.
When
versions
are
pinned
,
Buildout
doesn
't look for new versions of
the requirements, which can speed buildouts quite a bit. In fact, The
``-N`` option doesn'
t
provide
any
speedup
for
projects
whose
requirement
versions
are
all
pinned
.
When
should
you
pin
versions
?
_____________________________
The
rule
of
thumb
is
that
you
should
pin
versions
for
a
whole
system
,
such
as
an
application
or
service
.
You
do
this
because
after
integration
tests
,
you
want
to
be
sure
that
you
can
reproduce
the
tested
configuration
.
You
shouldn
't pin versions for a component, such as a library, because
doing so inhibits the ability for users of your component to integrate it
with their dependencies, which may overlap with yours. If you know
that your component only works a range of versions of some dependency,
the express the range in your project requirements. Don'
t
require
specific
versions
.
Buildout
versions
and
automatic
upgrade
---------------------------------------
In
the
interest
of
repeatability
,
Buildout
can
upgrade
itself
or
its
dependencies
to
use
the
newest
versions
or
downgrade
to
respect
pinned
versions
.
This
only
happens
if
you
run
Buildout
from
a
buildout
's own
``bin`` directory. If you'
ve
been
running
the
examples
,
you
may
have
noticed
the
message
::
Not
upgrading
because
not
running
a
local
buildout
command
.
We
can
use
Buildout
's ``bootstrap`` command to install a local
buildout script::
buildout bootstrap
Then, if the installed script is used::
bin/buildout
Then Buildout will upgrade or downgrade to be consistent with version
requirements. See the :doc:`bootstrapping topic
<topics/bootstrapping>` to learn more about bootstrapping.
Python development projects
===========================
A very common Buildout use case is to manage the development of a
library or main part of an application written in Python. Buildout
facilitates this with the ``develop`` option::
[buildout]
develop = .
...
The ``develop`` option takes one more more paths to project `setup.py
<https://docs.python.org/3.6/distutils/setupscript.html>`_ files or,
more commonly, directories containing them. Buildout then creates
"develop eggs" [#develop-eggs]_ for the corresponding projects.
With develop eggs, you can modify the sources and the modified sources
are reflected in future Python runs (or after `reloads
<https://docs.python.org/3/library/imp.html?highlight=reload#imp.reload>`_).
For libraries that you plan to distribute using the Python packaging
infrastructure, You'
ll
need
to
write
a
setup
file
,
because
it
's needed
to generate a distribution.
If you'
re
writing
an
application
that
won
't be distributed as a
separate Python distribution, writing a setup script can feel
like overkill, but it'
s
useful
for
:
-
naming
your
project
,
so
you
can
refer
to
it
like
any
Python
requirement
in
your
Buildout
configuration
,
and
for
-
specifying
the
requirements
your
application
code
uses
,
separate
from
requirements
your
buildout
might
have
.
Fortunately
,
an
application
setup
script
can
be
minimal
.
Here
's an
example::
from setuptools import setup
setup(name='
main
', install_requires = ['
bobo
', '
WebTest
'])
We suggest copying and modifying the example above, using it as
boilerplate. As is probably clear, the setup arguments used:
name
The name of your application. This is the name you'
ll
use
in
Buildout
configuration
where
you
want
to
refer
to
application
code
.
install_requires
A
list
of
requirement
strings
for
Python
distributions
your
application
depends
on
directly
.
A
*
minimal
*
[#
typical
-
dev
-
project
]
_
development
Buildout
configuration
for
a
project
with
a
setup
script
like
the
one
above
might
look
something
like
this
::
[
buildout
]
develop
=
.
parts
=
py
[
py
]
recipe
=
zc
.
recipe
.
egg
eggs
=
main
interpreter
=
py
There
's a new option, ``interpreter``, which names an *interpreter*
script to be generated. An interpreter script [#interpreter-script]_
mimics a Python interpreter with its path set to include the
requirements specified in the eggs option and their (transitive)
dependencies. We can run the interpreter::
bin/py
To get an interactive Python prompt, or you can run a script with it::
bin/py somescript.py
If you need to work on multiple interdependent projects at the same
time, you can name multiple directories in the ``develop`` option,
typically pointing to multiple check outs. A popular Buildout
extension, `mr.developer <https://pypi.python.org/pypi/mr.developer>`_,
automates this process.
Where to go from here?
======================
This depends on what you want to do. We suggest perusing the :doc:`topics
<topics/index>` based on your needs and interest.
The :doc:`reference <reference>` section can give you important
details, as well as let you know about features not touched on here.
.. [#egg] You may have heard bad things about eggs. This stems in
part from the way that eggs were applied to regular Python
installs. We think eggs, which were inspired by `jar
<https://en.wikipedia.org/wiki/JAR_(file_format)>`_, when used as
an installation format, are a good fit for Buildout'
s
goals
.
Learn
more
in
the
topic
on
:
doc
:`
Buildout
and
packaging
<
topics
/
buildout
-
and
-
packaging
>`.
..
[#
configparser
]
Buildout
uses
a
variation
(
fork
)
of
standard
``
ConfigParser
``
module
and
follows
(
mostly
)
the
same
parsing
rules
.
..
[#
requirements
-
one
-
per
-
line
]
Requirements
can
have
whitespace
characters
as
in
``
ZEO
<=
5
``,
so
they
're separated by newlines.
.. [#gcc] Currently, this example requires the ability to build
Python extensions and requires access to development tools.
.. [#if-same-environment] This assumes the same environment and that
dependencies haven'
t
changed
.
We
'll explain further in the
section on repeatability.
.. [#develop-eggs] pip calls these `"editable" installs
<https://pip.pypa.io/en/stable/reference/pip_install/#editable-installs>`_.
.. [#typical-dev-project] A more typical development buildout will
include at least a part to specify a test runner. A development
buildout might define other support parts, like JavaScript
builders, database servers, development web-servers and
so on.
.. [#interpreter-script] An interpreter script is similar to the
``bin/python`` program included in a virtual environment, except
that it'
s
lighter
weight
and
has
exactly
the
packages
listed
in
the
``
eggs
``
option
and
their
dependencies
,
plus
whatever
comes
from
the
Python
environment
.
doc/topics/index.rst
View file @
8abbd0be
...
...
@@ -6,3 +6,8 @@ Buildout Topics
:maxdepth: 2
.. todo:
variables-extensing-and-substitutions
writing-recipes
bootstrapping
buildout-and-packaging
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