virtual environment not in deb

[benman1]

Hi,
thanks for this tool. I've watched the intro talk on youtube, went through the tutorial, and a lot of what I could find online. This is the first time I am building a deb package, and I am not sure I understand the mechanics behind it yet. I am working with python3.4 which maybe makes it a bit more complicated. My problem is that the virtual environment does not seem to be included when I run dpkg -c package-name.deb.

After patching up pyversions to return python3.4 (it doesn't return anything otherwise), I can run the install with different rules such as these:

%:
        dh $@ --with python3 --builtin-venv

or

%:
        dh $@ --with python3 --builtin-venv --buildsystem=pybuild

or

%:
        dh $@ --with python3

I've tried a lot of things already. It does download python packages in some of these configurations, however I never see them in the deb.

Please help!

[FlogFr]

Have you tried to add python-virtualenv in your --with argument?

For instance my debian rules looks like this:

%:
    dh $@ --with systemd,python-virtualenv

override_dh_virtualenv:
    dh_virtualenv --setuptools --python /usr/bin/python3

[benman1]

Hi again!
thanks for that. It goes much further now in the build process. However, now I have problems integrating scikit learn:

   dh_strip
[...]
strip --remove-section=.comment --remove-section=.note --strip-unneeded debian/packagename/usr/share/python/packagename/lib/python3.4/site-packages/sklearn/linear_model/sgd_fast.cpython-34m.so
Not enough room for program headers, try linking with -N
BFD: debian/packagename/usr/share/python/packagename/lib/python3.4/site-packages/sklearn/linear_model/stSBnUjs: Not enough room for program headers, try linking with -N
strip:debian/packagename/usr/share/python/packagename/lib/python3.4/site-packages/sklearn/linear_model/stSBnUjs[.note.gnu.build-id]: Bad value
BFD: debian/packagename/usr/share/python/packagename/lib/python3.4/site-packages/sklearn/linear_model/stSBnUjs: Not enough room for program headers, try linking with -N
strip:debian/packagename/usr/share/python/packagename/lib/python3.4/site-packages/sklearn/linear_model/stSBnUjs: Bad value
dh_strip: strip --remove-section=.comment --remove-section=.note --strip-unneeded debian/packagename/usr/share/python/packagename/lib/python3.4/site-packages/sklearn/linear_model/sgd_fast.cpython-34m.so returned exit code 1
make: *** [binary] Error 29
dpkg-buildpackage: error: debian/rules binary gave error exit status 2

I am not sure how to resolve this. I'll be trying a bit more - feedback appreciated.

As a comment, I had to make several adjustments to get to this point. I was trying out with different versions of the dh-virtualenv package to avoid certain errors that only occur with some of the flags. In the end, I went back to using the deb package based on github and uninstall the pip installed version.

I first got this error:

   [...]
debian/rules clean
dh clean --with systemd,python-virtualenv
dh: unable to load addon systemd: Can't locate Debian/Debhelper/Sequence/systemd.pm in @INC (you may need to install the Debian::Debhelper::Sequence::systemd module) (@INC contains: /etc/perl /usr/local
/lib/perl/5.18.2 /usr/local/share/perl/5.18.2 /usr/lib/perl5 /usr/share/perl5 /usr/lib/perl/5.18 /usr/share/perl/5.18 /usr/local/lib/site_perl .) at (eval 13) line 2.
BEGIN failed--compilation aborted at (eval 13) line 2.

But installing a new package fixed it:

 sudo apt-get install dh-systemd

Cheers!

[jhermann]

If you use dh-systemd in your rules, then that must be part of your build-depends.

[benman1]

I think you misread. systemd is not the problem. That was a comment on how to fix systemd issues.

Again, my problem is:

dh_strip: strip --remove-section=.comment --remove-section=.note --strip-unneeded debian/packagename/usr/share/python/packagename/lib/python3.4/site-packages/sklearn/linear_model/sgd_fast.cpython-34m.so returned exit code 1
make: *** [binary] Error 29
dpkg-buildpackage: error: debian/rules binary gave error exit status 2

[nailor]

Hi,

sounds like you have been hit by issue #150. There are some solutions in there that might work for installing packages like sklearn.

[jhermann]

Current thread is #203, closing this.