I am trying to create a conda package to distribute a python tool. Part of the tool is cythonized, and it works perfectly using python setup.py install. I create the tar properly but when I try to install it, the package does not contain the .py files that links the python imports and the .so files. So when I try to import that packages I get a module not found.
The only think I have found around cython and conda is to introduce cython requirement in the build/run section in the meta.yaml, but I don't know why those .py files are not included.
This is my meta.yaml
package:
name: project
version: 1.0.0
source:
path: /home/user/project
requirements:
build:
- python >=2.7
- jinja2
- numpy
- scipy
- matplotlib
- pysam
- setuptools
- h5py
- cython
run:
- python >=2.7
- jinja2
- numpy
- scipy
- matplotlib
- pysam >=0.8
- setuptools
- h5py
- cython
build:
preserve_egg_dir: True
entry_points:
- exec_file = project.run_exec:main
about:
license: GPL3
summary: "PROJECT"
my setup.py file looks like
from setuptools import setup, find_packages
from distutils.core import Extension
from Cython.Build import cythonize
extensions = [Extension('project.src.norm', ['project/src/norm.pyx'])]
setup(
name="PROJECT",
packages=find_packages(),
version="1.0.0",
description="PROJECT",
author='Lab',
author_email='email',
url='http://',
license='LICENSE.txt',
include_package_data=True,
entry_points={'console_scripts': ['exec_file = project.run_exec:main']},
zip_safe=False,
ext_modules=cythonize(extensions),
classifiers=[
'Development Status :: 4 - Beta',
'Environment :: Console',
'Intended Audience :: Bioinformaticians',
'License :: OSI Approved :: BSD License',
'Operating System :: MacOS',
'Operating System :: Microsoft :: Windows',
'Operating System :: POSIX',
'Programming Language :: Python :: 2.7',
]
)
The directory structures is
project/
setup.py
__init__.py
MANIFEST.in
requirements.txt
README.md
info/
meta.yaml
build.sh
bld.bat
project/
src/
norm.pyx
run_exec.py
subproject/
<etc...>
EDITED:
Today I tried using python setup.py bdist_conda but the behavior is the same, or it is a conda issue or it is an specific problem on my configuration.
if that is the case I guess is is setup.py....