Hello @support ,
I've been using cvxpy in the server environment which I installed by running
!conda install -y -c conda-forge cvxpy
in init.ipynb. But whenever this environment is newly initialized, the module is gone and I have to run this cell again (which takes awfully long).
Is this normal or is there something wrong with my environment?
My current workaround is placing these lines before the import
try: import cvxpy as cp except ImportError: import subprocess cmd = 'conda install -y -c conda-forge cvxpy'.split() rn = subprocess.run(cmd) import cvxpy as cp
Is there a better way?
@antinomy Sorry for delay, maybe we do not completely understand. When is exactly gone the module? Each strategy has its own environment. So the behavior looks ok, the module should be intalled each time a new strategy is defined. But maybe you mean a different problem, correct?
It's actually the same strategy / environment, not a new one.
If I haven't used it for a while (say, a few hours or a day) and open it again by clicking on the Jupyter button, it says:
Initialization of the virtual environment. The notebook will be ready in 15 seconds.
And when I try to run the strategy that worked fine a few hours or a day ago, I get the ModuleNotFoundError and have to install the module again.
Everything else is still there as it was before - the strategy, custom files - just not cvxpy.
@antinomy Hi, we checked, this is the default behaviour. The solution you used is also the recommended one...
The reason is that after a timeout, the strategy container is removed and it has to be recreated.
@antinomy Conda may take a lot of time to install just one module. Try to use
pip install cvxpyinstead.
Yes, pip is way faster. Thanks!
I might have found an even faster solution but I guess I have to wait a few hours to find out if it really works.
Here's what I did:
- I created a folder in /root/books called "modules" to install cvxpy there to make it persistent:
!mkdir modules && pip install --target=modules cvxpy
- Then if the import fails in the strategy, it creates symbolic links in /usr/local/lib/python3.7/site-packages/ that point to the content of /root/books/modules/
try: import cvxpy as cp except ImportError: import os source = '/root/book/modules/' target = '/usr/local/lib/python3.7/site-packages/' for dirpath, dirnames, filenames in os.walk(source): source_path = dirpath.replace(source, '') target_path = os.path.join(target, source_path) if not os.path.exists(target_path) and not os.path.islink(target_path): os.symlink(dirpath, target_path) continue for file in filenames: source_file = os.path.join(dirpath, file) target_file = os.path.join(target, source_path, file) if not os.path.exists(target_file) and not os.path.islink(target_file): os.symlink(source_file, target_file) import cvxpy as cp
Creating the symlinks only takes 0.07 seconds, so fingers crossed
UPDATE (a few hours later):
It actually worked. When I just reopened the strategy, the environment was newly initialized. First I tried just importing cvxpy and got the ModuleNotFoundError. Then I ran the strategy including the code above: cvxpy was imported correctly and the strategy ran.
I'm not sure if that solution works for every module because I don't know if pip might also write something to other directories than site-packages.
Anyway, I'm happy with this solution.
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