Attribute Error from dask 1.1.1 about graphchain

[CMCDragonkai]

I think the optimize function expects a simple dictionary, but what is copied into the core.optimize function is actually a high level graph. The high level graph is not just a simple dictionary: http://docs.dask.org/en/latest/high-level-graphs.html#highlevelgraphs

[CMCDragonkai]

I believe this PR dask/dask#4092 is what changed the underlying Dask graph representation and has broken graphchain.

[lsorber]

Thanks for the bug report @CMCDragonkai. We're working on a PR to add support for HighLevelGraphs!

[lsorber]

Published graphchain v1.1.0 to PyPI. Let us know if you encounter any other issues!

[CMCDragonkai]

Since you changed the pytest options, I get this error now:

pytest: error: unrecognized arguments: --cov=graphchain

It seems there was an additional option added in with setup.cfg. But this option is not recognised in pytest 4.2.1.

[lsorber]

You'll need the pytest-cov extension [1] for pytest to work with the bundled setup.cfg. Or, you can also choose not to use our setup.cfg (which we use for development, not in the graphchain distribution).

[1] https://anaconda.org/search?q=pytest-cov

[CMCDragonkai]

Should pytest-cov then be part of the list of dependencies specified somewhere?

[lsorber]

If you installed graphchain with pip install graphchain, you should have all the required runtime dependencies. The runtime dependencies are listed in setup.py [1].

If you want to modify or contribute to graphchain, then you do indeed need additional dependencies. Those are listed in the local conda environment spec [2]. You can install these with conda env create -f environment.local.yml, followed by source activate graphchain-local-env.

[1] https://github.com/radix-ai/graphchain/blob/master/setup.py#L31
[2] https://github.com/radix-ai/graphchain/blob/master/environment.local.yml