Contribute#

Overall guidance on contributing to a PyAnsys repository appears in Contribute in the PyAnsys Developer’s Guide. Ensure that you are thoroughly familiar with this guide, paying particular attention to Guidelines and Best Practices, before attempting to contribute to PyAEDT.

The following contribution information is specific to PyAEDT.

Clone the repository#

To clone and install the latest version of PyAEDT in development mode, run:

git clone https://github.com/ansys/pyaedt
cd pyaedt
python -m pip install --upgrade pip
pip install -e .

Post issues#

Use the PyAEDT Issues page to submit questions, report bugs, and request new features.

To reach the product support team, email pyansys.core@ansys.com.

View PyAEDT documentation#

Documentation for the latest stable release of PyAEDT is hosted at PyAEDT Documentation.

In the upper right corner of the documentation’s title bar, there is an option for switching from viewing the documentation for the latest stable release to viewing the documentation for the development version or previously released versions.

Code style#

PyAEDT complies with the PyAnsys code style. pre-commit is applied within the CI/CD to ensure compliance. The pre-commit Python package can be installed and run as follows:

pip install pre-commit
pre-commit run --all-files

You can also install this as a pre-commit hook with:

pre-commit install

This way, it’s not possible for you to push code that fails the style checks. For example:

$ pre-commit install
$ git commit -am "Add my cool feature."
black....................................................................Passed
isort (python)...........................................................Passed
flake8...................................................................Passed
codespell................................................................Passed
debug statements (python)................................................Passed
trim trailing whitespace.................................................Passed
Validate GitHub Workflows................................................Passed
blacken-docs.............................................................Passed

Naming conventions#

Consistency of names helps improve readability and ease of use. Starting with release 0.8 a concerted effort has been made to improve consistency of naming and adherence to :ref:`PEP-8<https://peps.python.org/pep-0008/>`_.

For example, methods used to create or access entities in AEDT require that a name be passed to the method or function as an argument. It is tempting to include context as part of that variable name. For example, while it is tempting to use setupname as an argument to :meth:`Hfss.create_setup`_, the context “setup” is explicitly defined by the method name. The variable name provides a more compact description of the variable in this context.

In previous PyAEDT versions, you can also find both setup_name and setupname used for various methods or classes. Improving naming consistency improves maintainability and readability.

The following table illustrates the recommended conventions:

Keywords and object names#

Old name

New name

Example

setupname, setup_name, sweepname

name

Hfss.create_setup(), Hfss.create_linear_step_sweep()

usethickness

thickness

Hfss.assign_coating()

entities

assignment

Maxwell.assign_current_density()

entity_list

assignment

Maxwell.assign_symmetry()

Take care to use descriptive names for variables and classes that adhere to PEP-8 and are consistent with conventions already used in PyAEDT.

Log errors#

PyAEDT has an internal logging tool named Messenger and a log file that is automatically generated in the project folder.

The following examples demonstrate how Messenger is used to write both to the internal AEDT message windows and the log file:

self.logger.error("This is an error message.")
self.logger.warning("This is a warning message.")
self.logger.info("This is an info message.")

These examples demonstrate how to write messages only to the log file:

self.logger.error("This is an error message.")
self.logger.warning("This is a warning message.")
self.logger.info("This is an info message.")

Handle exceptions#

PyAEDT uses a specific decorator, @pyaedt_function_handler, to handle exceptions caused by methods and by the AEDT API. This exception handler decorator makes PyAEDT fault tolerant to errors that can occur in any method.

For example:

@pyaedt_function_handler()
def my_method(self, var):
    pass

Every method can return a value of True when successful or False when failed. When a failure occurs, the error handler returns information about the error in both the console and log file.

Here is an example of an error:

----------------------------------------------------------------------------------
PyAEDT error on method create_box:  General or AEDT error. Check again
the arguments provided:
    position = [0, 0, 0]
    dimensions_list = [0, 10, 10]
    name = None
    material = None
----------------------------------------------------------------------------------

(-2147352567, 'Exception occurred.', (0, None, None, None, 0, -2147024381), None)
  File "C:\GIT\repos\AnsysAutomation\PyAEDT\Primitives.py", line 1930, in create_box
    o.name = self.oeditor.createbox(vArg1, vArg2)

************************************************************
Method Docstring:

Create a box.

Parameters
----------
...

Hard-coded values#

Do not write hard-coded values to the registry. Instead, use the Configuration service.

Maximum line length#

Best practice is to keep the length at or below 120 characters for code, and comments. Lines longer than this might not display properly on some terminals and tools or might be difficult to follow.