Closed ocefpaf closed 9 years ago
Just for the record in case someone needs the a list that installs all the packages present at conda-recipes.
airsea
boost
cfchecker
compliance-checker
flopy
folium
gensim
geojson
ipython
iris
jsanimation
liblas
mplleaflet
mysql-python
oceans
octant
prettyplotlib
pymc
pyoos
rasterio
sparqlwrapper
tappy
thredds_crawler
ulmo
And finally, to close the issue, these are the packages that will be installed with the conda-requirements.txt
.
conda create -n env_name --file conda-requirements.txt
source activate env_name
conda list -e
# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
beautifulsoup4=4.3.2=py27_0
biggus=0.7.0=np18py27_0
cairo=1.12.2=2
cartopy=0.11.1=np18py27_0
cdat-lite=5.2.1=np18py27_1
cfchecker=2.0.5=np18py27_1
ctd=0.2.1=np18py27_0
curl=7.30.0=0
dateutil=2.1=py27_2
fiona=1.1.4=np18py27_0
folium=0.1.2_dev_5417cc9=np18py27_0
freetype=2.4.10=0
gdal=1.10.1=np18py27_2
geojson=1.0.7=py27_0
geos=3.3.3=0
gsw=3.0.3=np18py27_0
hdf5=1.8.9=1
iris=1.7.2=np18py27_0
jinja2=2.7.3=py27_1
jpeg=8d=0
lcms=1.19=0
libnetcdf=4.2.1.1=1
libpng=1.5.13=1
libxml2=2.9.0=0
libxslt=1.1.28=0
lxml=3.4.0=py27_0
markupsafe=0.23=py27_0
matplotlib=1.4.0=np18py27_0
mock=1.0.1=py27_0
netcdf4=1.1.1=np18py27_0
nose=1.3.4=py27_0
numpy=1.8.2=py27_0
oceans=0.2.1=np18py27_0
openpyxl=1.8.5=py27_0
openssl=1.0.1h=1
owslib=0.8.7=py27_0
paegan=1.1.1=np18py27_0
pandas=0.14.1=np18py27_0
pil=1.1.7=py27_1
pixman=0.26.2=0
proj4=4.8.0=0
py=1.4.25=py27_0
py2cairo=1.10.0=py27_1
pyepsg=0.2.0=py27_0
pyke=1.1.1=py27_0
pyoos=0.6.2=np18py27_2
pyparsing=2.0.1=py27_0
pyqt=4.10.4=py27_0
pyshp=1.2.1=py27_0
pytest=2.6.3=py27_0
python=2.7.8=1
python-dateutil=2.2=py27_0
pytz=2014.7=py27_0
qt=4.8.5=0
readline=6.2=2
requests=2.4.3=py27_0
scipy=0.14.0=np18py27_0
seawater=3.3.2=np18py27_0
setuptools=5.8=py27_0
shapely=1.4.1=py27_0
sip=4.15.5=py27_0
six=1.8.0=py27_0
sqlite=3.8.4.1=0
system=5.8=1
tk=8.5.15=0
udunits=2.2.17=0
vincent=0.4.4=py27_0
zlib=1.2.7=0
@ocefpaf , I'm a bit confused. The first simple requirements.txt
with just iris, pyoos, oceans and geojson
. What was that the environment for?
When I tried to install from your channel into my existing environment on Wakari Enterprise, I got a glib error. I then tried to create a new environment, and when I tried to run a notebook in that environment, I got a "ipython not installed" error.
My bad for mixing e-mails messages and github issues. But here are some extra information that should be together with this issue:
conda create -n $ENV_NAME --clone=/opt/wakari/anaconda
to get the "system" ipython into the environment. (I did not add that into the file because of 1. That file is a working in progress until we solve 3.) --clone=/opt/wakari/anaconda
together with a custom binstar channel we must make the binaries on the channel compatible with wakari. The best way to achieve that, in my opinion, is to build the packages inside wakari.Sadly 3 is not possible! We cannot install conda-build
inside an environment, nor we have access to root. I believe that the easiest way to get everything working is to build the binaries inside conda. Conda official packages are built on centos 6 distro, we could try to use a virtual machine with a similar configuration, but I think that is too much. It is probably easier to ask them to install conda-build by default and let us build our packages there.
@ocefpaf , I'm a bit confused. The first simple requirements.txt with just iris, pyoos, oceans and geojson. What was that the environment for?
Glad you asked! Last night I went down the networkx rabbit hole to create a file with the minimum requirements that would install all the dependencies we need:
http://nbviewer.ipython.org/gist/ocefpaf/1b20846a5b066b0a0ab1
(I if figure out how to create directions in the Graph I can get the answer in one plot.)
The second "requirements " is the list of the installed packages using the simple one thanks to the dependency chain.
*PS: IMHO the binstar packaging naming is wrong:
linux-64/ctd-0.2.1-np18py27_0.tar.bz2
should be:
linux-64-GLIBCXX_3.4.19/ctd-0.2.1-build0-np1.8.2py2.7.8_0.tar.bz2
and we should get meaningful error messages when trying to installed it on a different configuration.
Option 3 is now available and I am slowly build all conda packages using binstar build.
@rsignell-usgs as promised here is the
conda-requrement.txt
that runs all of system-test using my binstar channel:https://binstar.org/ocefpaf/
The channel was created from a https://github.com/ioos/conda-recipes fork, all the modifications are already in a PR to the main repository.