Skip to main content

Post-processing of composite structures based on Ansys DPF

Project description

PyAnsys Python PyPI GH-CI Codecov MIT Black

PyDPF - Composites enables the post-processing of composite structures based on Ansys DPF and the DPF Composites plugin. So it is a Python wrapper which implements classes on top of DPF Composites operators and data accessors for short fiber and layered composites (layered shell and solid elements). This module can be used to postprocess fiber reinforced plastics and layered composites, and to implement custom failure criteria and computation. For information demonstrating the behavior and usage of PyDPF - Composites, see Examples in the DPF Composite documentation.

Contribute

Install in development mode

Installing PyDPF - Composites in development mode allows you to modify the source and enhance it.

Before attempting to contribute to PyDPF - Composites, ensure that you are thoroughly familiar with the PyAnsys Developer’s Guide.

  1. Clone the repository:

    git clone https://github.com/ansys/pydpf-composites
    cd pydpf-composites
  2. Install dependencies:

    python -m pip install pipx
    pipx ensurepath
    # Minimum required poetry version is 1.2.0
    pipx install poetry
    pipx install pip
    pipx install tox

    PyDPF - Composites uses Poetry to manage the development environment.

  3. Create a virtual environment and install the package with the development dependencies:

    poetry install --all-extras
  4. Activate the virtual environment:

    poetry shell

Test

There are different ways to run the PyDPF - Composites tests, depending on how the DPF server is started.

  1. Run tests with a Docker container:

    Follow the steps in Getting the DPF server Docker image to get and run the DPF docker image. Run the tests with the following command

    pytest . --port 50052
  2. Run tests with a DPF server started from the Ansys installer. The Ansys version must be 2023 R2 or later.

    pytest . --ansys-path "C:\Program Files\Ansys Inc\v232"
  3. Run tests with a Docker container from Github (Ansys Internal only):

    docker pull ghcr.io/ansys/pydpf-composites:latest
    pytest .

Build documentation

Follow the description in Getting the DPF server Docker image image to get and run the dpf docker image.

On Windows, build the documentation with:

tox -e doc-windows

On Linux, build the documentation with:

tox -e doc-linux

Ansys internal only: Build the docs with the latest container from Github:

docker pull ghcr.io/ansys/pydpf-composites:latest
docker run -d -p 50052:50052 -e ANSYSLMD_LICENSE_FILE=1055@mylicserver -e ANSYS_DPF_ACCEPT_LA=Y ghcr.io/ansys/pydpf-composites:latest
tox -e doc-windows

Run style checks

The style checks use pre-commit and can be run through tox:

tox -e style

The style checks can also be configured to run automatically before each git commit:

pre-commit install

View documentation

Documentation for the latest stable release of PyDPF - Composites is hosted at PyDPF - Composites 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ansys_dpf_composites-0.7.0.tar.gz (84.3 kB view details)

Uploaded Source

Built Distribution

ansys_dpf_composites-0.7.0-py3-none-any.whl (153.4 kB view details)

Uploaded Python 3

File details

Details for the file ansys_dpf_composites-0.7.0.tar.gz.

File metadata

  • Download URL: ansys_dpf_composites-0.7.0.tar.gz
  • Upload date:
  • Size: 84.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.12

File hashes

Hashes for ansys_dpf_composites-0.7.0.tar.gz
Algorithm Hash digest
SHA256 9810b494081d8a9f8633283d1ec1c5c606fc765bac927096dc9a5bc31b184c1e
MD5 94f3383f387c24e18ef9e0017ec00ef3
BLAKE2b-256 d613e1a309927318c79a2b47d93c6f954ae23753304427dfa91dfd096bbc0ef4

See more details on using hashes here.

File details

Details for the file ansys_dpf_composites-0.7.0-py3-none-any.whl.

File metadata

File hashes

Hashes for ansys_dpf_composites-0.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ef24962281987a5365379a7d3ff70e9f72f17305e14449e26458835549de68d5
MD5 02db055226e69d73c069fca1bc92badb
BLAKE2b-256 9e1d11a66967e11588ee55cc26a3b3596bae50ebaf2773a0dd86009e9ccdf5cd

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page