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fades is a system that automatically handles the virtualenvs in the cases normally found when writing scripts and simple programs, and even helps to administer big projects.
.. image:: resources/logo256.png
fades will automagically create a new virtualenv (or reuse a previous created one), installing the necessary dependencies, and execute your script inside that virtualenv, with the only requirement of executing the script with fades and also marking the required dependencies.
(If you don't have a clue why this is necessary or useful, I'd recommend you
to read this small text about
Python and the Management of Dependencies <https://github.com/PyAr/fades/blob/master/docs/pydepmanag.rst>_ .)
The first non-option parameter (if any) would be then the child program to execute, and any other parameters after that are passed as is to that child script.
fades can also be executed without passing a child script to execute:
in this mode it will open a Python interactive interpreter inside the
created/reused virtualenv (taking dependencies from
Click in the following image to see a video/screencast that shows most of fades features in just 5'...
.. image:: resources/video/screenshot.png :target: https://www.youtube.com/watch?v=BCTd_TyCm98
these several small GIFs <resources/gifs/gifs.rst>_ that
show each a particular
fades functionality, but please keep also reading
for more detailed information...
When you write an script, you have to take two special measures:
need to execute it with fades (not python)
need to mark those dependencies
At the moment you execute the script, fades will search a virtualenv with the marked dependencies, if it doesn't exists fades will create it, and execute the script in that environment.
You can always call your script directly with fades::
However, for you to not forget about fades and to not execute it directly with python, it's better if you put at the beggining of the script the indication for the operating system that it should be executed with fades... ::
...and also set the executable bit in the script::
chmod +x yourscript.py
You can also execute scripts directly from the web, passing directly the URL of the pastebin where the script is pasted (most common pastebines are supported, pastebin.com, gist, linkode.org, but also it's supported if the URL points to the script directly)::
The procedure to mark a module imported by the script as a dependency to be installed by fades is by using a comment.
This comment will normally be in the same line of the import (recommended, less confusing and less error prone in the future), but it also can be in the previous one.
The simplest comment is like::
import somemodule # fades from somepackage import othermodule # fades
fades is mandatory, in this examples the repository is PyPI,
About different repositories_ below for other examples.
With that comment, fades will install automatically in the virtualenv the
somepackage from PyPI.
Also, you can indicate a particular version condition, examples::
import somemodule # fades == 3 import somemodule # fades >= 2.1 import somemodule # fades >=2.1,<2.8,!=2.6.5
Sometimes, the project itself doesn't match the name of the module; in these cases you can specify the project name (optionally, before the version)::
import bs4 # fades beautifulsoup4 import bs4 # fades beautifulsoup4 == 4.2
If no script or program is passed to execute, fades will provide a virtualenv with all the indicated dependencies, and then open an interactive interpreter in the context of that virtualenv.
Here is where it comes very handy the
-i/--ipython option, if that REPL
is preferred over the standard one.
In the case of using an interactive interpreter, it's also very useful to
make fades to automatically import all the indicated dependencies,
Apart of marking the imports in the source file, there are other ways to tell fades which dependencies to install in the virtualenv.
One way is through command line, passing the
This option can be specified multiple times (once per dependency), and
each time the format is
repository::dependency. The dependency may
have versions specifications, and the repository is optional (defaults
Another way is to specify the dependencies in a text file, one dependency
per line, with each line having the format previously described for
--dependency parameter. This file is then indicated to fades
--requirement parameter. This option can be specified
In case of multiple definitions of the same dependency, command line overrides everything else, and requirements file overrides what is specified in the source code.
Finally, you can include package names in the script docstring, after a line where "fades" is written, until the end of the docstring; for example::
"""Script to do stuff. It's a very important script. We need some dependencies to run ok, installed by fades: request otherpackage """
fades supports installing the required dependencies from multiples repositories: besides PyPI, you can specify URLs that can point to projects from GitHub, Launchpad, etc. (basically, everything that is supported by
When a dependency is specified, fades deduces the proper repository. For example, in the following examples fades will install requests from the latest revision from PyPI in the first case, and in the second case the latest revision from the project itself from GitHub::
-d requests -d git+https://github.com/kennethreitz/requests.git#egg=requests
If you prefer, you can be explicit about which kind of repository fades should use, prefixing the dependency with the special token double colon (
-d pypi::requests -d vcs::git+https://github.com/kennethreitz/requests.git#egg=requests
There are two basic repositories:
pypi which will make fades to install the desired dependency from PyPI, and
vcs, which will make fades to treat the dependency as a URL for a version control system site. In the first case, for PyPI, a full range of version comparators can be specified, as usual. For
vcs repositories, though, the comparison is always exact: if the very same dependency is specified, a virtualenv is reused, otherwise a new one will be created and populated.
In both cases (specifying the repository explicitly or implicitly) there is no difference if the dependency is specified in the command line, in a
requirements.txt file, in the script's docstring, etc. In the case of marking the
import directly in the script, it slightly different.
When marking the
import it normally happens that the package itself to be installed has the name of the imported module, and because of that it can only be found in PyPI. So, in the following cases the
pypi repository is not only deduced, but unavoidable::
import requests # fades from foo import bar # fades import requests # fades <= 3
But if the package is specified (normally needed because it's different than the module name), or if a version control system URL is specified, the same possibilities stated above are available: let fades to deduce the proper repository or mark it explicitly::
import bs4 # fades beautifulsoup import bs4 # fades pypi::beautifulsoup import requests # fades git+https://github.com/kennethreitz/requests.git#egg=requests import requests # fades vcs::git+https://github.com/kennethreitz/requests.git#egg=requests
One last detail about the
vcs repository: the format to write the URLs is the same (as it's passed without modifications) than what
pip itself supports (see
pip docs <https://pip.readthedocs.io/en/stable/reference/pip_install/#vcs-support>_ for more details).
Furthermore, you can install from local projects. It's just fine to use a
dependency that starts with
file:. E.g. (please note the triple slash,
because we're mixing the protocol indication with the path)::
fades -d file:///home/crazyuser/myproject/allstars/
You can influence several details of all the virtualenv related process.
The most important detail is which version of Python will be used in the virtualenv. Of course, the corresponding version of Python needs to be installed in your system, but you can control exactly which one to use.
No matter which way you're executing the script (see above), you can
--python argument, indicating the Python version to
be used just with the number (
2.7), the whole name (
the whole path (
Other detail is the verbosity of fades when telling what is doing. By default, fades only will use stderr to tell if a virtualenv is being created, and to let the user know that is doing an operation that requires an active network connection (e.g. installing a new dependency).
If you call fades with
--verbose, it will send all internal
debugging lines to stderr, which may be very useful if any problem arises.
On the other hand if you pass the
--quiet parameter, fades
will not show anything (unless it has a real problem), so the original
script stderr is not polluted at all.
If you want to use IPython shell you need to call fades with
--ipython option. This option will add IPython as a dependency to fades
and it will launch this shell instead of the python one.
You can also use
--system-site-packages to create a venv with access to
the system libs.
Finally, no matter how the virtualenv was created, you can always get the
base directory of the virtualenv in your system using the
-x/--exec parameter allows you to execute any program (not just
a Python one) in the context of the virtualenv.
By default the mandatory given argument is considered the executable
name, relative to the virtualenv's
bin directory, so this is
specially useful to execute installed scripts/program by the declared
fades -d flake8 -x flake8 my_script_to_be_verified_by_flake8.py
Take in consideration that you can pass an absolute path and it will be respected (but not a relative path, as it will depend of the virtualenv location).
For example, if you want to run a shell script that in turn runs a Python program that needs to be executed in the context of the virtualenv, you can do the following::
fades -r requirements.txt --exec /var/lib/foobar/special.sh
Finally, if the intended code to run is prepared to be executed as a module
(what you would normally run as
python3 -m some_module), you can
use the same parameter with fades to run that module inside the virtualenv::
fades -r requirements.txt -m some_module
When you tell fades to create a virtualenv using one dependency and don't specify a version, it will install the latest one from PyPI.
For example, you do
fades -d foobar and it installs foobar in
version 7. At some point, there is a new version of foobar in PyPI,
version 8, but if do
fades -d foobar it will just reuse previously
created virtualenv, with version 7, not downloading the new version and
creating a new virtualenv with it!
You can tell fades to do otherwise, just do::
fades -d foobar --check-updates
...and fades will search updates for the package on PyPI, and as it will found version 8, will create a new virtualenv using the latest version.
From this moment on, if you request
fades -d foobar it will bring the
virtualenv with the new version. If you want to get a virtualenv with
not-the-latest version for any dependency, just specify the proper versions.
You can even use the
--check-updates parameter when specifying the package
version. Say you call
fades -d foobar==7, fades will install version 7 no
matter which one is the latest. But if you do::
fades -d foobar==7 --check-updates
...it will still use version 7, but will inform you that a new version is available!
One nice benefit of fades is that every time dependencies change in your project, you actually get to use a new virtualenv automatically.
If you don't pin the dependencies in your requirements file, this has
another nice side effect: everytime you use them in a new environment (or
if you have
--check-updates set) you will get latest versions, effectively
avoiding the trap of sticking in old versions forever.
However, this has a bad side. If it happens that a dependency of your project released a revision between the moment you run the tests and the moment your project is deployed to the server, it may happen that you actually put in production an untested combination. Furthermore, it may happen that even if you do pin your dependencies, the dependencies of those dependencies may not be pinned, and you get into the same situation.
For example, you may have the
requests == 2.19.1 dependency, but
requests declares its own dependencies, for example
chardet >= 3.0.2, and when running tests locally you may get
3.0.3, but nothing guarantees you that when deploying your
project to a server (effectively building everything from scratch) you will
not get a newer version of
chardet, which may be totally fine but in fact
it's something that you did NOT test locally.
Here is where fades comes to the rescue with the
--freeze option. If
this parameter is given, fades will operate exactly as it normally would,
but also will dump the result of
pip freeze into the specified file.
So to continue with the example above, you could run your tests like::
fades -d "requests == 2.19.1" --freeze=reqs-frozen.txt -x python3 -m unittest
...which will leave you
reqs-frozen.txt with a content similar to::
certifi==2018.4.16 chardet==3.0.4 pip==18.0 requests==2.19.1 ...
And then you could use that file for deployment, which has all packages pinned, so you will get exactly what you was expecting.
For particular use cases you can send specifics arguments to
python. using the
--python-options respectively. You have to use that argument for each argument
fades -d requests --virtualenv-options="--always-copy" --virtualenv-options="--extra-search-dir=/tmp"
fades -d requests --pip-options="--index-url='http://example.com'"
fades --python-options=-B foo.py
You can also configure fades using
.ini config files. fades will search config files in
/etc/fades/fades.ini, the path indicated by
xdg for your system
So you can have different settings at system, user and project level.
With fades installed you can get your config dir running::
python -c "from fades.helpers import get_confdir; print(get_confdir())"
The config files are in
.ini format. (configparser) and fades will search for a
You have to use the same configurations that in the CLI. The only difference is with the config options with a dash, it has to be replaced with a underscore.::
[fades] ipython=true verbose=true python=python3 check_updates=true dependency=requests;django>=1.8 # separated by semicolon
There is a little difference in how fades handle these settings: "dependency", "pip-options" and "virtualenv-options". In these cases you have to use a semicolon separated list.
The most important thing is that these options will be merged. So if you configure in
/etc/fades/fades.ini "dependency=requests" you will have requests in all the virtualenvs
created by fades.
When using fades virtual environments are something you should not have to think about. fades will do the right thing and create a new virtualenv that matches the required dependencies. There are cases however when you'll want to do some clean up to remove unnecessary virtual environments from disk.
By running fades with the
--rm argument, fades will remove the
virtualenv matching the provided UUID if such a virtualenv exists (one easy
way to find out the virtualenv's UUID is calling fades with the
Another way to clean up the cache is to remove all venvs that haven't been used for some time.
In order to do this you need to call fades with
When fades it's called with this option, it runs in mantain mode, this means that fades will exit
after finished this task.
All virtualenvs that haven't been used for more days than the value indicated in param will be
It is recommended to have some automatically way of run this option; ie, add a cron task that perform this command::
foo.py under fades, passing the
--bar parameter to the child program, in a virtualenv with the dependencies indicated in the source code::
fades foo.py --bar
foo.py under fades, showing all the fades messages (verbose mode)::
fades -v foo.py
foo.py under fades (passing the
--bar parameter to it), in a virtualenv with the dependencies indicated in the source code and also
dependency2 (any version > 3.2)::
fades -d dependency1 -d "dependency2>3.2" foo.py --bar
Execute the Python interactive interpreter in a virtualenv with
fades -d dependency1
Execute the Python interactive interpreter in a virtualenv after installing there all dependencies taken from the
fades -r requirements.txt
Execute the Python interactive interpreter in a virtualenv after installing there all dependencies taken from files
fades -r requirements.txt -r requirements_devel.txt
django-admin.py script to start a new project named
foo, without having to have django previously installed::
fades -d django -x django-admin.py startproject foo
Remove a virtualenv matching the given uuid from disk and cache index::
fades --rm 89a2bf83-c280-4918-a78d-c35506efd69d
Download the script from the given pastebin and executes it (previously building a virtualenv for the dependencies indicated in that pastebin, of course)::
Run all the tests in a project (running
pytest directly as a module, for better behaviour) and at the same time freeze dependencies for later deployment::
fades -r requirements.txt --freeze -m pytest -v
Including fades in project helper scripts makes it easy to stop worrying about the virtualenv activation/deactivation when working in that project, and also solves the problem of needing to update/change/fix an already created virtualenv if the dependencies change.
This is an example of how a script to run your project may look like::
if (command -v fades > /dev/null) then # fades FTW! fades -r requirements.txt bin/start else echo 2 # hope you are in the correct virtualenv python3 bin/start fi
To run the tests, it's super handy to have a script that also takes care of the development dependencies::
"$@"fades -r requirements.txt -r reqs-dev.txt -x python -m pytest -s
The virtualenvs created by fades depend on the Python version used to create them, considering its major and minor version.
This means that if run fades with a Python version and then run it again with a different Python version, it may need to create a new virtualenv.
Let's see some examples. Let's say you run fades with
is a symlink in your
python3.4 (running it directly
by hand or because fades is installed to use that Python version).
If you have Python 3.4.2 installed in your system, and it's upgraded to Python 3.4.3, fades will keep reusing the already created virtualenvs, as only the micro version changed, not minor or major.
But if Python 3.5 is installed in your system, and the default
is pointed to this new one, fades will start creating all the
virtualenvs again, with this new version.
This is a good thing, because you want that the dependencies installed with one specific Python in the virtualenv are kept being used by the same Python version.
However, if you want to avoid this behaviour, be sure to always call fades
with the specific Python version (
for example), so it won't matter if a new version is available in the
Several instructions to install
fades in different platforms.
In some systems you can install
fades directly, no needing to
install previously any dependency.
If you are in debian unstable or testing, just do:
sudo apt-get install fades
For Arch Linux, you can install it from the AUR using any
AUR helper <https://wiki.archlinux.org/index.php/AUR_helpers>_, e.g. with
pikaur -S fades
In systems with Snaps:
snap install fades --classic
--classic? Because it's the only way that
fades could, from
inside the snap, access the rest of the system in case you want to
use a different Python version, or a dependency that needs
For Mac OS X (and
brew install fades
Else, keep reading to know how to install the dependencies first, and
fades in your system next.
Besides needing Python 3.3 or greater, fades depends also on the
pkg_resources package, that comes in with
It's installed almost everywhere, but in any case,
you can install it in Ubuntu/Debian with::
apt-get install python3-setuptools
And on Arch Linux with::
pacman -S python-setuptools
It also depends on
python-xdg package. This package should be
installed on any GNU/Linux OS wiht a freedesktop.org GUI. However it
is an optional dependency.
You can install it in Ubuntu/Debian with::
apt-get install python3-xdg
And on Arch Linux with::
pacman -S python-xdg
Fades also needs the
package to support different Python versions for child execution. (see the
If you are NOT in debian unstable or testing (if you are, see
above for better instructions), you can use this
Download it and install doing::
sudo dpkg -i fades_*.deb
pip3 install fades
Finally you can always get the multiplatform tarball and install it in the old fashion way::
wget http://ftp.debian.org/debian/pool/main/f/fades/fades_9.0.1.orig.tar.gz tar -xf fades_*.tar.gz cd fades-* sudo ./setup.py install
Yes! Branch the project and use the executable::
git clone https://github.com/PyAr/fades.git cd fades bin/fades your_script.py
Windows is a platform supported by fades.
However, we don't have a proper Windows installer (a
.msi), but you can install it using
pip, or from the tarball,
or try it directly from the project. All these options are properly
We do want to have a Windows installer. If you can help us in this regard, please contact us. Also we would want a Travis running in Windows so that GitHub runs all the tests in this platform too before landing any code. Thanks!
You can ask any question or send any recommendation or request to
mailing list <http://listas.python.org.ar/mailman/listinfo/fades>_.
Come chat with us on IRC. The #fades channel is located at the
Freenode <http://freenode.net/>_ network.
Also, you can open an issue
here <https://github.com/PyAr/fades/issues/new>_ (please do if you
find any problem!).
Thanks in advance for your time.
Quick guide to get you up and running in fades development.
Clone the project::
git clone firstname.lastname@example.org:PyAr/fades.git
fades manages it's own dependencies, so there is nothing extra you need to install.
To try it, just do::
When starting development, at all times, and specially before wrapping up a new branch, you need to be sure that all tests pass ok.
This is very simple, actually, just run::
That will not only check test cases, but also that the code complies with aesthetic recommendations, and that the README document has a proper format.
If you want to run one particular test, just specify it. Example::
Just pick an issue from
the list <https://github.com/PyAr/fades/issues>_.
./test is happy, commit, push, create a pull request, etc.
Please, if you aim for creating a Pull Request with new code (functionality or fixes), include tests for your changes.