Paste the snippet of code and hit enter, this will install the remote debugger for P圜harm to use. Open Terminal at the bottom of the P圜harm window Give an appropriate name for remote debugging such as Remote DebuggingĬopy the snippet of code that consists of pip install pydevd-pycharm Like the Unit tests and workbench we need to add it as a configuration, open the configuration menu by navigating to Run->Edit Configurations.

This section assumes you have followed all previous instructions for debugging Python in workbench and unit tests. This functionality is useful for debugging Python code that is spawned in separate threads, such as Python algorithms called from C++ and system tests.Ī P圜harm Professional license is required to use the Remote Debugging feature. In the left hand side select the option that is Project: /qt/applications/workbench/workbench/projectrecovery this achieves exactly the same as the previous step.Ĭustom is for passing custom arguments to the Unittests executable such as these: ĭebug Python in system tests/remote debugging ¶ If no project has been selected already, open the Mantid source code as a project. We use DebugWithRelRuntime for Conda specific builds to allow debugging due to Debug not being functional with the Release ABIs. You can replace it with any other build type such as Debug or Release. The assumption has been made that you have setup and built Mantid already, if you have not, please do so before hand by following, this guide.Īt any point in these instructions where DebugWithRelRuntime is used (including in file paths), Setup Python development environment with Conda ¶ If you haven’t installed P圜harm yet do that now, P圜harm can be installed from here. The main difference for our workflow is that professional offers support for remote debugging which can help with debugging Python code that is called from C++, such as algorithms called from Python interfaces.

There are two versions of P圜harm that are in use in the team, Community and Professional. Setup Python development environment with Condaĭebug Python in system tests/remote debugging

Pycharm professional