It is comparable to the execution of pip wheel -no-deps. Differences to build #īuild is a simple tool which can among other things build This is now covered in Build System Interface. ’pip wheel’ uses the build system interface as described here: Recompiling your software during every install. Wheel is a built-package format, and offers the advantage of not Description #īuild Wheel archives for your requirements and dependencies. Python packages installed by the python setup.py install command Ĭustom Python packages, that actually do not need to be installed but only copied in the DSS Python libraries folder.Py - m pip wheel. The additional Python packages installed by DATA_DIR/bin/pip or added to DATA_DIR/lib/python are preserved by DSS upgrades.

We upgrade these dependencies of DSS when releasing a new version, after they are properly qualified and we made sure everything works together. Notably, you must not change the version of the pandas, numpy and scikit-learn packages in the built-in environment. Modifying the version of these packages is not supported and may result in causing DSS to stop functioning. If you require another version of Python, please use a code environment.Ī number of packages are preinstalled in the built-in environment. The built-in Python environment uses Python 2.7, 3.6 or 3.7, as chosen at installation time. Importantly, this implies that in order to install packages in the built-in environment, you must NOT use the pip or python commands of your system, but use the pip or python commands of the DSS virtualenv. The built-in Python environment uses the Python virtualenv mechanism. Please pay attention to the following notes: API Node & API Deployer: Real-time APIs.Automation scenarios, metrics, and checks.Installing a “python setup.py install” package.

Installing in the built-in DSS environment (not recommended).

Installing in a specific code environment (recommended).

Pip update package