Skip to main content

Perform compliance and sustainability analysis on materials data stored in Granta MI.

Project description

PyAnsys Python PyPI GH-CI Codecov MIT Black pre-commit.ci status

ansys-grantami-bomanalytics

Project Overview

PyGranta BoM Analytics is part of the larger PyAnsys effort to facilitate the use of Ansys technologies directly from Python.

The MI Restricted Substances and MI Sustainability solutions for Granta MI include REST APIs for:

  • Evaluating compliance of products, assemblies, specifications, and materials against legislations.

  • Evaluating the environmental performance of products, assemblies, materials and processes.

This package abstracts automatically-generated code into an easy-to-use client library.

Installation

Install the ansys-grantami-bomanalytics package with this code:

pip install ansys-grantami-bomanalytics

To install a release compatible with a specific version of Granta MI, use the PyGranta meta-package with a requirement specifier:

pip install pygranta==2023.2.0

Alternatively, clone and install this package with this code:

git clone https://github.com/ansys/grantami-bomanalytics
cd grantami-bomanalytics
pip install .

Documentation

The PyGranta BoM Analytics Documentation provides comprehensive installation and usage information.

Usage

Here’s a brief example of how to use PyGranta BoM Analytics:

# Connect and query the Granta service.

>>> from pprint import pprint
>>> from ansys.grantami.bomanalytics import Connection, queries
>>> cxn = Connection("http://my_grantami_server/mi_servicelayer").with_autologon().connect()
>>> query = (
...     queries.MaterialImpactedSubstancesQuery()
...     .with_material_ids(['plastic-abs-pvc-flame'])
...     .with_legislation_ids(['Candidate_AnnexXV'])
... )

# Print out the result from the query.

>>> result = cxn.run(query)
>>> pprint(result.impacted_substances)
[<ImpactedSubstance: {"cas_number": 10108-64-2, "percent_amount": 1.9}>,
 <ImpactedSubstance: {"cas_number": 107-06-2, "percent_amount": None}>,
 <ImpactedSubstance: {"cas_number": 115-96-8, "percent_amount": 15.0}>,
...

Testing

For information on testing, see the Contributing section of the documentation.

License

PyGranta BoM Analytics is provided under the terms of the MIT license. You can find this license in the LICENSE file at the root of the repository.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

File details

Details for the file ansys_grantami_bomanalytics-2.1.0a0-py3-none-any.whl.

File metadata

File hashes

Hashes for ansys_grantami_bomanalytics-2.1.0a0-py3-none-any.whl
Algorithm Hash digest
SHA256 0c08b340ae9a7d0888754dab2b6bfc534b4a305b419ed9f3ee703cab2316253f
MD5 d9eca9769438bc3ea007345c4e612540
BLAKE2b-256 1d6c624459989aa17fa65fb7cc95ca5644c92464d7ad54248eedac9f4b253c34

See more details on using hashes here.

Supported by

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