PyAnsys Tools Report#
Contents#
README file#
Find here below the contents of the repository’s main README file.
PyAnsys Tools Report#
Ansys tool for reporting your Python environment’s package versions and hardware resources in a standardized way.
Table of contents#
Introduction#
The PyAnsys Tools Report is a PyAnsys package to homogenize among all the different repositories the output of system and environment reports related to Ansys products. Its main goals are:
Provide an homogeneous output style to system and environment reports.
Allows for customization when reporting Ansys variables and libraries.
You are welcome to help contribute to it in any possible way. Please submit an issue with any proposal you may have.
Documentation and issues#
See the documentation page for more details.
You are welcome to help contribute to it in any possible way. Please submit here an issue with any proposal you may have. This is the best place to post questions and code.
How does it work?#
This repository basically contains a simple Python package which you can import as follows (once installed):
import ansys.tools.report as pyansys_report
Once imported, you can then start playing around with it:
# Instantiate a "default" Report
rep = pyansys_report.Report()
Refer to the online documentation to see the details of the module.
Installation#
This package may be installed following two procedures: either the pip package manager installation or the manual installation. The process to be followed for each of them is shown in the upcoming sections.
The pyansys-tools-report
package currently supports Python >=3.10 on Windows, Mac OS, and Linux.
Standard installation#
Install the latest release from PyPi with:
pip install pyansys-tools-report
Alternatively, install the latest from GitHub via:
pip install git+https://github.com/ansys/pyansys-tools-report.git
For a local “development” version, install with (requires pip >= 22.0):
git clone https://github.com/ansys/pyansys-tools-report.git
cd pyansys-tools-report
pip install .
Offline installation#
If you lack an internet connection on your install machine, the recommended way of installing PyAnsys Tools Report is downloading the wheelhouse archive from the Releases Page for your corresponding machine architecture.
Each wheelhouse archive contains all the python wheels necessary to install PyAnsys Tools Report from scratch on Windows and Linux for Python >=3.10. You can install this on an isolated system with a fresh python or on a virtual environment.
For example, on Linux with Python 3.10, unzip it and install it with the following:
unzip pyansys-tools-report-v0.8.1-wheelhouse-Linux-3.10.zip wheelhouse
pip install pyansys-tools-report -f wheelhouse --no-index --upgrade --ignore-installed
If you’re on Windows with Python 3.10, unzip to a wheelhouse
directory and
install using the same command as before.
Consider installing using a virtual environment. More information on general PyAnsys development can be found in the PyAnsys Developer’s Guide.
Rendering the docs#
In case you were interested in rendering the docs locally, you need to clone the repository and install the docs requirements first:
git clone https://github.com/ansys/pyansys-tools-report.git
cd pyansys-tools-report
pip install -e .[doc]
Once you have the requirements, render the docs by running the following:
make -C doc html
This generates the HTML version of the docs, which you may find in the following directory:
cd doc/_build/html
You can also clean the build directory by running the following command:
make -C doc clean
Running the tests#
In case you were interested in running the tests locally, you need to clone the repository and install the test requirements first:
git clone https://github.com/ansys/pyansys-tools-report.git
cd pyansys-tools-report
pip install -e .[test]
Once you have the requirements, run the tests by running the following:
pytest
The pyproject.toml
file already contains some default configuration for running the tests. Please,
take a look at it if you may want to run it with your own configuration.
Requirements#
This Python package does not contain specific requirements files. Instead, its requirements may
be found within the pyproject.toml
file which defines the package. Thus, when the package is
installed it automatically detects the dependencies needed and installs them.