I have a directory structure like so:
Package/
setup.py
src/
__init__.py
__main__.py
code.py
I often use this setup because it works better with python setup.py develop
Package_root/
setup.py
src/
Package/
__init__.py
__main__.py
code.py
It's probably not (yet) the detailed answer you're expecting but I think it's worth trying for the three use cases.
setup( ...
package_dir = {'': 'src'},
entry_points = {'console_scripts': ['Package = Package.__main__:main'],},
packages = find_packages(exclude=["Package.egg_info",]),
...)
from code import .........
fails because there is no Python package installed on your system named code
. There is a Python module on your system named code
, but in your import statement you don't specify the package that your code
module can be found in.
The purpose of the __init__.py
file that you have in src/
tells Python that the src/
directory should be treated a Python package, with its contents as the modules within the package. Since code.py
is located in src/
along with your __init__.py
file, your code
module is located in your src
package.
Now that you know which package your code
module can be found in, you can import stuff from it with:
from src.code import .........
Also, as a side note: The __init__.py
does its job just by being present in your src/
directory, so it doesn't even need to contain any code. For that reason it's generally a good idea to leave the __init__.py
file blank.
You have almost everything you need (even a bit more)! I'd go with the following setup:
code.py:
foo = 1
__init__.py:
from .code import foo
Doing a relative import here because __init__.py
will be used when importing the whole package. Note that we explicitly mark the import as relative by using the .
-syntax because this is required for Python 3 (and in Python 2 if you did from __future__ import absolute_import
).
__main__.py:
from Package import foo
print('foo = ', foo)
This is the package's main script and so we use an absolute import
statement. By doing so we assume that the package has been installed (or at least has been put on the path); and that is the way packages should be dealt with! You might think that this conflicts with your third use case but actually there is no reason not to pip install
when dealing with a package. And it really isn't a big deal (especially when using a virtualenv)!
If your concern is to tinker with the source files and readily observe the changes by running the __main__.py
file then you can simply install the package using the -e
("editable") switch: pip install -e .
(assuming you are in directory Package
). With your current directory structure, however, this won't work because the -e
switch will place an egg-link
to the directory containing the setup.py
file; this directory does not contain a package named Package
but src
instead (I have a question about that).
Instead, if you follow the convention to name the root directory of a package's source after the package itself (that is Package
for your example) then installing with -e
is not a problem: Python does find the required package Package
in the corresponding directory:
$ tree Package/
Package/
├── setup.py
└── Package <-- Renamed "src" to "Package" because that's the package's name.
├── code.py
├── __init__.py
└── __main__.py
This also lets you omit the extra definition of package_dir={'Package': 'src'}
in setup.py
.
A note about setup.py
: For the three use cases which you've specified there is no need to define an entry point. That is you can skip the line entry_points={ 'console_scripts': ['Package = src.__main__:main' ] }
. By shipping a __main__.py
module python -m Package
will readily execute the code in this module. You can also add an extra if-clause:
def main():
print('foo = ', foo)
if __name__ == '__main__':
main()
The entry point on the other hand lets you directly execute the code in __main__.main
from the CLI; that is running $ Package
will execute the corresponding code.
The bottom line is that I'd always use pip install
when dealing with packages. And why not, especially if you've already created a setup.py
file? If changes to the package are to be applied "in real-time" then you can install with the -e
switch (this might require a renaming of the src
folder, see above). So your third use case would read as "Download the source and pip install (-e) Package
(within a virtualenv); then you can run python __main__.py
".
__main__.py
without pip install
If you don't want to install the package via pip but still be able to run the __main__.py
script, I'd still go with the above setup. Then we need to make sure that the from Package import ...
statement(s) are still succeeding and this can be achieved by extending the import path (note that the this requires the src
directory to be renamed to the package's name!).
PYTHONPATH
For Linux bash you can set the Pythonpath as follows:
export PYTHONPATH=$PYTHONPATH:/path/to/Package
Or if you're in the same directory as __main__.py
:
export PYTHONPATH=$PYTHONPATH:`cd ..; pwd`
Of course there are different ways for different operating systems.
__main__.py
You (or rather your colleague) could add the following lines to the top of the script (before the from Package import ...
statements):
import sys
sys.path.append('/path/to/Package')
sitecustomize.py
You can place a module named sitecustomize.py in the lib/python3.5/site-packages/
directory of your Python installation which contains the following lines:
import sys
sys.path.append('/path/to/Package')
main.py
scriptSo you'd have the following layout:
$ tree Package/
Package/
├── main.py <-- Add this file.
├── setup.py
└── src
├── code.py
├── __init__.py
└── __main__.py
where main.py
contains
import src.__main__
Now __main__.py
is treated as a part of the src
package and the relative import will work.
Instead of running python src/__main__.py
you would run python main.py
now.