I have installed and old version by mistake of django-registration and it seems quite complicated to fix it to the new one. So since i am just starting a project anew, how can I uninstall completely the module django-registration?
Remove the folder /usr/local/pythonX.Y/site-packages/django-registration where X.Y is your python version, which you can find by running python --version
If pip is installed then simply fire following command, that's it.
pip uninstall django-registration
Also you can confirm it by going to /lib directory at root or at virtual environment level.
e.g.
/lib/python2.7/site-packages/
If you cant see directory named registration means django-registration has been removed.
Related
I had my mac osx working fine with python 2.7.10, and I've installed python3 via brew install python3.
on my bash_profile I then create an alias python=python3.
but when I
>>python3
I got:
Your PYTHONPATH points to a site-packages dir for Python 2.x but you are running Python 3.x!
PYTHONPATH is currently: "/usr/local/lib/python2.7/site-packages:"
You should unset PYTHONPATH to fix this.
then I ran brew uninstall python3, but things did not come to previous configuration, and I couldn't run neither python versions anymore.
>>python now gives me:
-bash: python3: command not found
I tried then to brew link python3, since it appeared to be there, but to no avail.
now, If I which python, I get:
/usr/local/bin/python.
how do I fix this mess, minding that I want to keep both 2.7 and 3.5?
ps. my bash_profile now:
export PATH=“/usr/local/bin:/usr/local/sbin:/usr/bin:~/bin:./bin:$PATH"
"export PYTHONPATH="/usr/local/lib/python2.7/site-packages:$PYTHONPATH"
Attempt to set the PYTHONPATH environment variable manually to point to the correct python installation. If you want both, set it to both (separated with a ; semicolon) and just specify in the cmd python2 or python3 depending on which you want to open.
This explains how to access the enviorment variables on OSX:
Setting environment variables in OS X?
Sorry, I'd provide more detail but I only run Linux and Windows on my home machines so I don't know much about OSX.
edit: actually, you may need to seperate different locations with a , comma rather then semicolon. Don't know, look at the existing ones to see how it is.
I used brew to install python 2.7 and 3.5 on Mac. SOMEHOW I have this site-packages directory /usr/local/lib/python2.7/site-packages.
But every python interpreter on the system points to every other site-packages directory EXCEPT this one. How do I use THIS site-packages directory?
(This is all because I need Vips. I'd installed this before, but now I'm using a different machine and I can't figure out how on Earth I got it to work before.)
The vips docs have a checklist and an explanation of what happens when Python tried to import vips:
http://www.vips.ecs.soton.ac.uk/supported/current/doc/html/libvips/using-from-python.html
But briefly you need to:
You have several Pythons installed, make sure you are invoking the brew one.
Make sure that that Python has a gi repository containing the Vips.py overrides.
Make sure you have a Vips-8.0.typelib file in /usr/local/lib/lib/girepository-1.0/.
SOLVED.
I didn't want to have to resort to resetting my dev box to factory settings, but I did. I hope this helps somebody...
If Python already exists on your system, and you're planning on installing Python yourself or with Homebrew (because you only get python2.7 out of the box), make sure you install the new Python first. Then put the install location first in your PATH. Then install your modules. In that order. I knew something was wrong, so I uninstalled Python/3 and Vips. But when I reinstalled them, for whatever reason Vips still didn't know to bind itself to the Python in /usr/local/Cellar. Even though I had /usr/local/Cellar first in PATH.
So to recap -- first install Homebrew, then set the PATH, then install python/python3, and finally install Vips. And you're good to go.
I'm trying to use the GLPK solver with Pyomo. I have a working model that's been tested, but keep getting an error saying GLPK can't be found.
WARNING: Could not locate the 'glpsol' executable, which is required for solver 'glpk'
I've installed glpk sucessfully. I also added the directory to my path variable so the executed can be called globally. I tested this with glpsol --help from my command line, and see the help info printed.
The below thread says it should be working, but alas, it is not.
How do you install glpk-solver along with pyomo in Winpython
Any ideas?
This answer is late but I want to share the solution that worked for me.
solvername='glpk'
solverpath_folder='C:\\glpk\\w64' #does not need to be directly on c drive
solverpath_exe='C:\\glpk\\w64\\glpsol' #does not need to be directly on c drive
I used to do this:
sys.path.append(solverpath_folder)
solver=SolverFactory(solvername)
This works for the cbc solver in coin-or but it does not work for glpk. Then I tried something different:
solver=SolverFactory(solvername,executable=solverpath_exe)
This worked for both cbc and glpk. No idea why this works (I really didn't do anything else).
Version: Python 2.7 or Python 3.7 (tested both), glpk 4.65
You can install glpk solver using this command -
brew install glpk
Installing the glpk package worked for me. As I use Anaconda:
conda install -c conda-forge glpk
This was after already including the 'glpsol' exectuable's folder path in my PATH variables.
So it looks like the set path variable is not handled by your Python installation.
A normal Python installation is set up for a seperated "PYTHONPATH" environment variable to look up additional modules.
There is also the option to make an entry in the windows registry or (like you already mentioned) move the files to the Python home directory, which is recognized relative to your installation directory if "PYTHONHOME" is not set.
More information in the Python Documentary under 3.3.3.
https://docs.python.org/2/using/windows.html#finding-modules
I was having the same issue. I don't know if this is a solution but it definitely got the solver working.
After downloading the Windows installation. I copied all the files in the w64 folder and pasted them directly into my Python working directory.
After that my python code could locate the solver.
NOTE: this was for Python 3.4.3.4, Windows 8.1 64 bit
Reading the source code here suggests you try:
from pyutilib.services import register_executable, registered_executable
register_executable(name='glpsol')
maybe will it give a clue
I had the same issue on Windows 10 and it was down to glpk being installed in a different conda environment. Full steps for installing pyomo and glpk below.
Test the installation by running 'Repeated Solves' example from https://pyomo.readthedocs.io/en/latest/working_models.html
Instructions (run at an anaconda prompt)
conda create --name myenv
conda activate myenv
conda install -c conda-forge pyomo
conda install -c conda-forge pyomo.extras
conda install -c conda-forge glpk
Run spyder from myenv so that if finds everything
spyder activate myenv
Here is the relevant part where pyomo 6.2 searches for the glpsol executable
https://github.com/Pyomo/pyomo/blob/568c6595a56570c6ea69c3ae3198b73b9f473abd/pyomo/common/fileutils.py#L288
def _path():
return (os.environ.get('PATH','') or os.defpath).split(os.pathsep)
There are two options to solve the PATH problem:
Putting the executable in an available folder in PATH (recommended practice). The glpsol executable must be in one of the folders present in the PATH system environment variable. Use in your code print(os.environ['PATH']) to see the available folders and put it there.
Adding the folder to PATH at runtime. You can add it to the system PATH statically or use code to add it dynamically (only while your script is running):
GLPK_FOLDER_PATH = "path/to/glpk"
os.environ["PATH"] += os.pathsep + str(GLPK_FOLDER_PATH)
In my case, my Python project has a virtual environment .venv, and I have an installation process that pastes the files essential to the glpsol executable when I install the project inside the .venv/Scripts folder. Because that folder is added automatically to the system PATH when Python is called from the virtual environment, libraries like Pyomo can find it. And I don't have to remember to add the folder to PATH at runtime whenever I want to use Pyomo.
For anyone that has the same issue, I found a workaround (not a solution!). I copied all the glpk files into my C:/Python27 directory, and (Surprise!) Python can now find them.
I'll hold out for a real solution before accepting this one.
For my django projects I have created a nice working workflow. Using buildout to 'bootstrap' a project and the apps I have developed based on versions. The rest are packages and apps installed from pypi. I work on ubuntu, and my servers are on ubuntu. This works like a charm.
Now there is a new developer who works on windows. He has a lot of troubles getting the buildout working the same way I Am using it.
Is there a special way or other way I should use buildout for setting it up for windows?
the usage of easy install seems to be the problem....
Windows user:
I have installed numpy and matplotlib with installers for windows(x64). But buildout still tries to compile matplotlib. The compilation is not working. I tried GCC as a compiler. Can I prevent buildout from compiling and using the installed packages?
If something has a dependency on numpy or matplotlib, buildout will try to install it, period. So you have two basic solutions:
Don't explicitly say you want numpy or matplotlib. Depend on it that you and your colleague already installed it globally. Buildout won't try to install what it doesn't know about :-)
Use syseggrecipe to explicitly tell buildout to look for a package in your global install:
[buildout]
parts =
sysegg
django
....
[sysegg]
recipe = syseggrecipe
eggs =
matplotlib
numpy
[django]
recipe = djangorecipe
....
Make sure the sysegg part is pretty much right at the start of your parts list. syseggrecipe places a link to your globally installed version in your buildout's develop-eggs/ directory, thereby telling buildout about the package's existence.
Warning: I'm not sure is syseggrecipe works 100% on windows, as it uses symlinks. Pull requests that fix it (if it turns out to be a problem) are welcome.
I am tearing my hair out trying to install Spatialite for GeoDjango!
I am already using Homebrew, it's generally easy and convenient so I initially tried to follow the Homebrew instructions for GeoDjango.
But this stops short of installing any database, i.e. Spatialite. The next step is to try and install Spatialite itself, but there are no Homebrew-specific instructions provided by Django docs.
I found this tutorial which looks perfect - a Homebrew and virtualenv-friendly install of Spatialite for GeoDjango.
But it doesn't work... it appears that my pysqlite is linked against the non-spatial-enabled version of SQLite that comes with OS X, rather than the Spatial-ised one I installed from Homebrew, I get this error when Django tried to connect to the db:
"The pysqlite library does not support C extension loading. Both SQLite and pysqlite must be configured to allow the loading of extensions to use SpatiaLite."
The author of pysqlite hasn't responded to my pleas for help on Github and I haven't found anything via Google.
So I went back to the drawing board and decided to follow the "Mac OS X-specific instructions" in the GeoDjango docs... by installing the various geo libs from the KyngChaos binary packages.
The docs say "Install the packages in the order they are listed above" but I found I couldn't install UnixImageIO without installing PROJ first. The link in the docs to download Spatialite binaries (http://www.gaia-gis.it/spatialite-2.3.1/binaries.html) is broken so I used the "Spatialite Tools v4.1" from KyngChaos instead.
Proceeding to the next step I get this error:
$ spatialite geodjango.db "SELECT InitSpatialMetaData();"
SQLite header and source version mismatch
2013-10-17 12:57:35 c78be6d786c19073b3a6730dfe3fb1be54f5657a
2013-09-03 17:11:13 7dd4968f235d6e1ca9547cda9cf3bd570e1609ef
Not really sure what's wrong at this point.
There is someone else here on SO who has gone the KyngChaos route and just ends up with the same "Both SQLite and pysqlite must be configured to allow the loading of extensions" error I got from the Homebrew route anyway.
I found this ticket #17756 for adding pyspatialite support to Django - pyspatialite is supposed to be an easier way to pip install everything but unfortunately it doesn't work either (see comments towards bottom of ticket).
I'm a bit reluctant to start trying to build everything from source by hand as it seems likely I'll just run into the same problems again, but spending hours Googling for info about cryptic compiler errors, magic flags and paths etc along the way.
I'm about ready to give up and just use Postgres/PostGIS.
I was able to get this working now, using the tip here:
https://github.com/ghaering/pysqlite/issues/60#issuecomment-50345210
I'm not sure if it was using the real paths that fixed it, or just the Homebrew kegs or underlying packages have been updated and now install cleanly. Still, it works now.
I reproduce below the steps I took:
brew update
brew install sqlite # 3.8.5
brew install libspatialite # 4.2.0
brew install spatialite-tools # 4.1.1
git clone https://github.com/ghaering/pysqlite.git
cd pysqlite
(where brew reported I had existing versions I unlinked them and installed the latest as commented above)
then edited setup.cfg to comment out #define=SQLITE_OMIT_LOAD_EXTENSION and specify the paths:
include_dirs=/usr/local/opt/sqlite/include
library_dirs=/usr/local/opt/sqlite/lib
activated the virtualenv where I want it installed, then
python setup.py build
python setup.py install
(build_static still fails with clang: error: no such file or directory: 'sqlite3.c')
(maybe I should have done pip install . as suggested in the github issue)
now the spatialite geodjango.db "SELECT InitSpatialMetaData();" succeeds, albeit with an ignorable error:
InitSpatiaMetaData() error:"table spatial_ref_sys already exists"
i.e. it's probably not even necessary to run that command
When I was istalling this i follow this instructions https://docs.djangoproject.com/en/dev/ref/contrib/gis/install/spatialite/#pysqlite2
pysqlite2
If you’ve decided to use a newer version of pysqlite2 instead of the sqlite3 Python stdlib module, then you need to make sure it can load external extensions (i.e. the required enable_load_extension method is available so SpatiaLite can be loaded).
This might involve building it yourself. For this, download pysqlite2 2.6, and untar:
$ wget https://pypi.python.org/packages/source/p/pysqlite/pysqlite-2.6.3.tar.gz
$ tar xzf pysqlite-2.6.3.tar.gz
$ cd pysqlite-2.6.3
Next, use a text editor (e.g., emacs or vi) to edit the setup.cfg file to look like the following:
[build_ext]
#define=
include_dirs=/usr/local/include
library_dirs=/usr/local/lib
libraries=sqlite3
#define=SQLITE_OMIT_LOAD_EXTENSION
I had the same error: SQLite header and source version mismatch.
For me it was enough to update libsqlite3-dev.
After that invoking $ spatialite geo.db "SELECT InitSpatialMetaData();" creates proper database.