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  • ocefpaf · 5 ✖

issue 1

  • Getting netCDF4 to work on RTD · 5 ✖

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  • CONTRIBUTOR 5
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
262408119 https://github.com/pydata/xarray/issues/1106#issuecomment-262408119 https://api.github.com/repos/pydata/xarray/issues/1106 MDEyOklzc3VlQ29tbWVudDI2MjQwODExOQ== ocefpaf 950575 2016-11-23T00:38:20Z 2016-11-23T00:38:20Z CONTRIBUTOR

@ocefpaf where you able to make any progress on this?

Sorry but no. I will look at it again but I do remember seeing some extra conda install commands issued after the env was create, and that may lead to undesirable up-downgrade of packages. If possible, the RTD env should install everything in one go, with a single conda env create environment.yml.

PS: Not sure what your timezone is but due to my ignorance on RTD it would be nice if we could touch base on gitter at some point. We can probably figure this out quickly.

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  Getting netCDF4 to work on RTD 188565022
260033149 https://github.com/pydata/xarray/issues/1106#issuecomment-260033149 https://api.github.com/repos/pydata/xarray/issues/1106 MDEyOklzc3VlQ29tbWVudDI2MDAzMzE0OQ== ocefpaf 950575 2016-11-11T19:16:10Z 2016-11-11T19:16:10Z CONTRIBUTOR

We are talking about two different issues here. I'll open another issue for the rasm file.

Ah OK. Sorry for the noise.

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  Getting netCDF4 to work on RTD 188565022
260030024 https://github.com/pydata/xarray/issues/1106#issuecomment-260030024 https://api.github.com/repos/pydata/xarray/issues/1106 MDEyOklzc3VlQ29tbWVudDI2MDAzMDAyNA== ocefpaf 950575 2016-11-11T19:02:01Z 2016-11-11T19:10:48Z CONTRIBUTOR

The error is visible here the latest build logs are available here thanks!

Thanks @fmaussion I can see that there are multiple conda install commands the the subsequent ones change the env. For example:

``` conda install --yes --name latest sphinx==1.3.5 Pygments==2.1.1 docutils==0.12 mock pillow==3.0.0 sphinx_rtd_theme==0.1.7 alabaster>=0.7,<0.8,!=0.7.5

Fetching package metadata: .... Solving package specifications: .........

Package plan for installation in environment /home/docs/checkouts/readthedocs.org/user_builds/xray/conda/latest:

The following NEW packages will be INSTALLED:

jbig:             2.1-0       
sphinx_rtd_theme: 0.1.7-py27_0

The following packages will be DOWNGRADED:

freetype:         2.6.3-1      --> 2.5.5-1     
jpeg:             9b-0         --> 8d-2        
libtiff:          4.0.6-7      --> 4.0.6-2     
pillow:           3.4.2-py27_0 --> 3.0.0-py27_1
pygments:         2.1.3-py27_1 --> 2.1.1-py27_0
sphinx:           1.4.8-py27_0 --> 1.3.5-py27_0
tk:               8.5.19-0     --> 8.5.18-0

```

That jpeg change is not desirable!

I also cannot see the full log from conda env create --name latest --file /home/docs/checkouts/readthedocs.org/user_builds/xray/checkouts/latest/doc/environment.yml.

It's the same environment, I'm literally typing "git checkout master" or "git checkout v0.8.2" in my xarray-dev conda environment (on Python 3.5)

I am not sure it is due to the change I mention above. I will make a few experiments and report back.

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  Getting netCDF4 to work on RTD 188565022
260027475 https://github.com/pydata/xarray/issues/1106#issuecomment-260027475 https://api.github.com/repos/pydata/xarray/issues/1106 MDEyOklzc3VlQ29tbWVudDI2MDAyNzQ3NQ== ocefpaf 950575 2016-11-11T18:50:37Z 2016-11-11T18:50:37Z CONTRIBUTOR

Can you point me to the error and some details on RTD. They may need to update the conda version to get it to work.

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  Getting netCDF4 to work on RTD 188565022
259823644 https://github.com/pydata/xarray/issues/1106#issuecomment-259823644 https://api.github.com/repos/pydata/xarray/issues/1106 MDEyOklzc3VlQ29tbWVudDI1OTgyMzY0NA== ocefpaf 950575 2016-11-10T22:15:17Z 2016-11-10T22:15:17Z CONTRIBUTOR

@fmaussion I am away from a laptop to test this but the following change should fix it (depending on the conda version you have there) :

yaml channels: - conda-forge - defaults

By explicitly adding defaults below conda-forge you will ensure that the right set of packages will be downloaded thanks to the channel preference feature in recent conda version.

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  Getting netCDF4 to work on RTD 188565022

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