FERS_calculations
FERS_calculations is a high-performance library for Rust-backed calculations in mechanical engineering. It can process JSON input files to deliver fast and accurate results. While it can be run as a standalone tool, integration with FERS_core simplifies input creation and workflow management.
Features
- Standalone Functionality: Run directly by providing a valid JSON input file.
- Rust-Powered Performance: Designed for speed and reliability in computational tasks.
- Python Integration: Seamless integration with
FERS_corefor easy preprocessing and result handling. - Engineer-Friendly Design: Minimal coding effort required for complex structural engineering calculations.
Installation
pip install fers_calculations
This installs the pre-built Rust bindings -- no Rust toolchain required.
Usage
Standalone (Python)
You can call fers_calculations directly from Python without FERS_core:
import fers_calculations
# Load your JSON input
with open("001_cantilever_with_end_load.json") as f:
json_data = f.read()
# Run the analysis
results_json = fers_calculations.calculate_from_json(json_data)
# Save the results
with open("results.json", "w") as f:
f.write(results_json)
Premium licensing and timeouts
Passing api_key unlocks Premium model limits. That is the only thing that makes
the library contact the network — omit it and no request is ever sent.
Because a licence check is a network call, it is bounded. If ferscloud.com does
not answer within license_timeout seconds (default 30) the call raises
fers_calculations.FersTimeoutError before the solve starts, so retrying is
always safe:
import fers_calculations
try:
fers_calculations.calculate_to_file(
json_data, "results.json", api_key=KEY, license_timeout=60
)
except fers_calculations.FersTimeoutError:
... # transient — retry or skip this model
FersTimeoutError subclasses the built-in TimeoutError, so except TimeoutError
catches it too. A definitive failure — an invalid key, a non-premium account, an
unreachable host — raises RuntimeError instead, since retrying those is pointless.
license_timeout bounds the licence handshake only, not the solve. To put a
hard ceiling on a whole solve, run it in a killable subprocess.
Two environment variables are read (real process environment only — .env files
are loaded by the CLI binary, never by this extension module):
| Variable | Purpose | Default |
|---|---|---|
FERS_LICENSE_TIMEOUT |
Default license_timeout, in seconds |
30 |
FERS_CLOUD_URL |
Base URL of the licence API | https://ferscloud.com |
With FERS_core (recommended)
For a more ergonomic workflow, install FERS_core which handles model creation, calling the Rust engine, and post-processing / visualisation:
pip install fers-core
from fers_core import FERS
model = FERS.from_json("001_cantilever_with_end_load.json")
model.calculate()
model.plot_results_3d()
See FERS_core on PyPI for full documentation.
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