Resolve to a conda-provided Python system, as these are not compatible with virtualenv.Īs a consequence, one must make sure that adding conda to the DSS PATH variable does not add conda-provided Python to this PATH as well: The builtin DSS environment is installed with conda (installer option “-C”) but one wishes to build virtualenv-based managedĭSS builds conda environments by calling the conda command as found in the PATH environment variable of the DSS user account.ĭSS builds virtualenv-based environments by looking up the corresponding Python command in PATH (ie python2.7, python3.5, etc.). The builtin DSS environment is installed with virtualenv (default installer option) but one wishes to build conda-based managed In order to change the underlying Python subsystem (for example, to switch the builtin environment from python2.7 to python3.6) you need to rebuild the builtinĭSS can simultaneously use conda and non-conda (i.e. Upon DSS upgrades, the builtin Python environment is preserved, and the installer simply switches the mandatory set of packages to their new versions. See Installing Python packages.įor test purposes, the builtin Python environment used by DSS can be launched with DATA_DIR/bin/python The DATA_DIR/bin/pip command can be used to list or otherwise manage the contents of the builtin Python environment.
#Python3.6 list directory contents code
User code can run either in the builtinĮnvironment, or using a code environment. PATH/TO/dataiku-dss-VERSION/installer.sh -d DATA_DIR -p PORT -P /usr/bin/python3.5ĭSS uses this builtin environment to run internal Python code necessary to the proper working of DSS. PATH/TO/dataiku-dss-VERSION/installer.sh -d DATA_DIR -p PORT -P /usr/local/bin/python3.6 # Error: Python 3.5 is not supported for the builtin Python environment # (it can be used for managed code environments though) # Use a specific version of Python 3.6 installed on the host # It may be necessary to add '-n' to skip the dependency check for the system-default Python 3.6 PATH/TO/dataiku-dss-VERSION/installer.sh -d DATA_DIR -p PORT -P python3.6 PATH/TO/dataiku-dss-VERSION/installer.sh -d DATA_DIR -p PORT
These can be built with different versions of Python, and different sets of installed packages. In addition to this builtin environment, DSS can dynamically build and manage multiple additional Python environments, to run user-provided Python code. See Initial setup of the builtin Python environment. Starting with DSS 6.0, the builtin environment may be based on Python 2.7 or Python 3.6, to be chosen at installation time. These are setup by the DSS installerĪnd updated accordingly on DSS upgrades. This builtin Python environment comes with a default set of packages, suitable for this version of DSS. To run all Python-based internal DSS operations, and is also used as a default environment to run user-provided Python code. The DSS installation phase creates an initial “builtin” Python environment, which is used Using Anaconda Python for the builtin environmentĭSS comes with native Python integration. Rebuilding the builtin Python environmentĪdvanced: using a fully custom Python environment Initial setup of the builtin Python environmentĬhoosing the version of Python for the builtin environment
#Python3.6 list directory contents pdf
Setting up DSS item exports to PDF or images.Using Anaconda Python for the builtin environment.
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