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Add license and use console script to support windows cli.
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LICENSE-APACHE.txt

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Apache License
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Version 2.0, January 2004
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http://www.apache.org/licenses/
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TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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END OF TERMS AND CONDITIONS

LICENSE-MIT.txt

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Copyright (c) Twinleaf LLC
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Permission is hereby granted, free of charge, to any
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person obtaining a copy of this software and associated
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documentation files (the "Software"), to deal in the
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Software without restriction, including without
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limitation the rights to use, copy, modify, merge,
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publish, distribute, sublicense, and/or sell copies of
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the Software, and to permit persons to whom the Software
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is furnished to do so, subject to the following
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conditions:
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The above copyright notice and this permission notice
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shall be included in all copies or substantial portions
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of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF
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ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED
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TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
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PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
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SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
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CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
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OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR
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IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
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DEALINGS IN THE SOFTWARE.

README.md

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# Twinleaf Python
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# Twinleaf Python (using the Rust backend)
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**This library is experimental and under active development; interfaces are subject to change, and it will set your computer on fire.**
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**We welcome users to test and provide feedback.**
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**These tools only works with devices employing Twinleaf I/O Generation 2, generally devices shipped starting in 2025. For earlier devices please use the tio-python package**
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This package implements a communications protocol to work with [Twinleaf sensors](http://www.twinleaf.com) using [Twinleaf I/O (TIO)](https://github.com/twinleaf/libtio/blob/master/doc/TIO%20Protocol%20Overview.md) as the communications layer. Data from the sensors is received via PUB messages and sensor parameters may be changed using REQ/REP messages. This python package uses the twinleaf-rust backend to provide higher performance data handling.
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This python package uses the twinleaf-rust backend to provide higher performance data handling.
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## Installation
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Ensure the rust compiler is installed. Until the package is available from PyPI, install using pip: `pip install .` from the package source root.
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Common platforms are support installation from PyPI using:
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`pip install twinleaf`
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## Use
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Examples of basic usage can be found in the `examples` directory.
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A console script `itl` is installed to provide an interactive tool for configuring devices. We strongly
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## Programming
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The `twinleaf` module performs metaprogramming to construct an object that has methods that match the RPC calls available on the device. To interact with a Twinleaf CSB current supply, for example:
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```python
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import twinleaf
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csb = twinleaf.Device('COM1')
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csb.settings.coil.x.current(0.25) # mA
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```
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To receive data streams from a sensor such as the [Twinleaf VMR vector magnetometer](http://www.twinleaf.com/vector/VMR), use the named streams:
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```python
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import twinleaf
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vmr = twinleaf.Device()
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print(vmr.samples.vector(10))
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```
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## Migration from `tio-python`
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Whereas `tio-python` mixed data stream and rpc methods, this package separates two two under distinct namespaces `samples.*` and `settings.*`.
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Specifying a time duration for the number of samples is not yet supported; only a number of samples can be requested.
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## Prerequisites
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[Python](https://www.python.org/downloads/) >= 3.10 is required.
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## Windows issues
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Windows users who can't run python might need to [add python to their path](https://www.pythoncentral.io/add-python-to-path-python-is-not-recognized-as-an-internal-or-external-command/).
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Windows users who run into an error installing packages may need to [enable long paths](https://docs.microsoft.com/en-us/windows/win32/fileio/maximum-file-path-limitation).
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Windows console scripts are installed in an odd folder which may be added to your path:
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C:\Users\username\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\Scripts
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## Development
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Ensure the rust compiler is installed. Use `pip install -e .` to build the package.
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examples/tl-samples.py

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#!/usr/bin/env python3
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import twinleaf
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dev = twinleaf.Device()
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# columns = [] # All samples
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columns = ["imu.accel*"] # Wildcard
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# columns = ["imu.accel.x", "imu.accel.y", "imu.accel.z"] # Specific columns
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for sample in dev._samples(5, columns):
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print(sample)

pyproject.toml

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[project]
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name = "twinleaf"
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requires-python = ">=3.8"
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requires-python = ">=3.10"
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classifiers = [
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"Topic :: System :: Hardware :: Hardware Drivers",
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"Topic :: Scientific/Engineering :: Physics",
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"Topic :: Scientific/Engineering :: Interface Engine/Protocol Translator",
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"Programming Language :: Rust",
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"Programming Language :: Python :: Implementation :: CPython",
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"Programming Language :: Python :: Implementation :: PyPy",
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"License :: OSI Approved :: MIT License",
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"License :: OSI Approved :: Apache Software License",
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]
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dynamic = ["version"]
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dependencies = [
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"ipython>=9",
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]
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[project.scripts]
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itl = "twinleaf.itl:interact"
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[tool.maturin]
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features = ["pyo3/extension-module"]
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module-name = "twinleaf._twinleaf"
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data = "twinleaf.data"
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python-source = "python"
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import twinleaf._twinleaf
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import struct
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from types import SimpleNamespace
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from .itl import *
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class Device(_twinleaf.Device):
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def __new__(cls, url=None, route=None):
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def __new__(cls, url=None, route=None, announce=False, instantiate=True):
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device = super().__new__(cls, url, route)
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return device
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def __init__(self, url=None, route=None, instantiate=True):
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def __init__(self, url=None, route=None, announce=False, instantiate=True):
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super().__init__()
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if instantiate:
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self._instantiate_rpcs()
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self._instantiate_samples()
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self._instantiate_samples(announce)
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def _rpc_int(self, name: str, size: int, signed: bool, value: int | None = None) -> int:
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# print(name)
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cls = type('samples'+name,(), {'__name__':name, '__call__':samples_method})
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return cls
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def _instantiate_samples(self):
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def _instantiate_samples(self, announce: bool = False):
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metadata = self._get_metadata()
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dev_meta = metadata['device']
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if announce:
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print(f"{dev_meta['name']} ({dev_meta['serial_number']}) [{dev_meta['firmware_hash']}]")
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streams_flattened = []
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for stream, value in metadata['streams'].items():
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for column_name in value['columns'].keys():

python/twinleaf/itl.py

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#!/usr/bin/env python
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import twinleaf
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import argparse
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def interact(url: str = 'tcp://localhost'):
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parser = argparse.ArgumentParser(prog='itl',
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description='Interactive Twinleaf I/O.')
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parser.add_argument("url",
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nargs='?',
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default='tcp://localhost',
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help='URL: tcp://localhost')
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parser.add_argument("-s",
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default='',
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help='Routing: /0/1...')
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args = parser.parse_args()
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dev = twinleaf.Device(url=args.url, route=args.s, announce=True)
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dev._interact()
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if __name__ == "__main__":
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interact()

rust/Cargo.lock

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