I’m making baby steps towards having a repeatable installation for my tools.  But I’m now stuck, so help would be appreciated.

I have a tool that works and is in the test toolshed (alveoimport in Data Sources). 

It depends on my python package which is now part of bioconda (pyalveo, version 0.6). 

I can run my tool via planemo, which works I think because I have pyalveo installed in a local venv.  

If I try to run the docker image (derived from  bgruening/galaxy-stable but with the testtoolshed added) I am able to install my tool, but it doesn’t pick up the dependency, so it doesn’t work. 

I tried running with planemo turning on conda dependency resolution (following https://pypi.python.org/pypi/planemo/): 

planemo serve --galaxy_branch release_16.01 --conda_dependency_resolution .

It seems to have a go, but fails:

So, what’s the easiest route to a Galaxy deployment with my tool installed. The Docker route would be best I think, but what do I have to add to bgruening/galaxy-stable to have conda find my dependencies.

Thanks in advance,

Steve