Skip to main content

NextFEM REST API wrapper in pure Python

Project description

NextFEMpy

NextFEM REST API wrapper in pure Python, to be used with NextFEM Designer or NextFEM Server. It is a complete set of REST API call, wrapped in Python functions, distinguishing between mandatory and optional arguments.

If you're looking for NextFEMpy source, look into /nextfempy folder. If you're looking for sample code using nextfempy, look into /samples folder.

Installation instructions

pip install nextfempy

Upgrading instructions

pip install nextfempy --upgrade

Usage

Before using with your local installation of NextFEM Designer, start the plugin REST API Server.

from nextfempy import NextFEMrest
# connect to local copy of NextFEM Designer
nf=NextFEMapiREST.NextFEMrest()

To handle a property:

nf.autoMassInX=False
print(str(nf.autoMassInX))

To call a NextFEM API method:

nf.addOrModifyCustomData("test","Test")
print(nf.getCustomData("test"))

Sample code

A simple 3D frame using REST API. Remember to start the plugin REST API Server in NextFEM Designer.

import os
from nextfempy import NextFEMrest

# current dir, to be used eventually to save model
dir = os.path.dirname(os.path.realpath(__file__))
# connects to the open instance of NextFEM Designer with REST API server plugin running on your machine
nf=NextFEMrest()

# clear model
nf.newModel()
# material and section
mat=nf.addMatFromLib("C25/30"); print("Mat="+str(mat))
cSect=nf.addCircSection(0.2)
bSect=nf.addRectSection(0.2,0.2)
# nodes
n1=nf.addNode(0,0,0); n2=nf.addNode(0,0,3)
n3=nf.addNode(3,0,0); n4=nf.addNode(3,0,3)
n5=nf.addNode(0,3,0); n6=nf.addNode(0,3,3)
n7=nf.addNode(3,3,0); n8=nf.addNode(3,3,3)
# beams
b1=nf.addBeam(n1,n2,cSect,mat); b2=nf.addBeam(n3,n4,cSect,mat)
b3=nf.addBeam(n2,n4,bSect,mat)
b4=nf.addBeam(n5,n6,cSect,mat); b5=nf.addBeam(n7,n8,cSect,mat)
b6=nf.addBeam(n6,n8,bSect,mat)
b7=nf.addBeam(n2,n6,bSect,mat); b8=nf.addBeam(n4,n8,bSect,mat)
# restraints
nf.setBC(n1,True,True,True,True,True,True)
nf.setBC(n3,True,True,True,True,True,True)
nf.setBC(n5,True,True,True,True,True,True)
nf.setBC(n7,True,True,True,True,True,True)
# loading
nf.addLoadCase("sw"); nf.setSelfWeight("sw")
nf.addLoadCase("perm"); nf.addLoadCase("var")
# floorload type
print(nf.setFloorLoad("floor1","perm",-2.5,0,0,1)); print(nf.setFloorLoad("floor1","var",-3,0,0,1))
# floor plane on beams - nodes 2,4,8,6
print("Apply loading plane: " + str(nf.addFloorPlane("floor1",2,n2,n4,n8,n6)))

# analysis: run all loadcases and print outcome
print(nf.RunModel())
nf.refreshDesignerView(0,True)

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

nextfempy-0.3.4.tar.gz (50.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nextfempy-0.3.4-py3-none-any.whl (50.4 kB view details)

Uploaded Python 3

File details

Details for the file nextfempy-0.3.4.tar.gz.

File metadata

  • Download URL: nextfempy-0.3.4.tar.gz
  • Upload date:
  • Size: 50.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for nextfempy-0.3.4.tar.gz
Algorithm Hash digest
SHA256 2971aec0d38808c026b850a01e7e8caa80ba06798704d5f95dcebb9ecf8b575c
MD5 09af272e22a181a98884fe32591a8bcb
BLAKE2b-256 05e4fd69fefa895389d3af69306754b79df726c8ac5e430b27f1c40337ecfc60

See more details on using hashes here.

File details

Details for the file nextfempy-0.3.4-py3-none-any.whl.

File metadata

  • Download URL: nextfempy-0.3.4-py3-none-any.whl
  • Upload date:
  • Size: 50.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for nextfempy-0.3.4-py3-none-any.whl
Algorithm Hash digest
SHA256 1be2136a47b291e5c9f307809517ece1660098dacec09e828aee2c281e1daf32
MD5 31be80f2affb4660e8d2c4defb147ea1
BLAKE2b-256 24735be048d9af490d2a8dd202ffc66b80f41f09298eef1357e368f7b33bffce

See more details on using hashes here.

Supported by

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