nifpga-fast-fifo-recv 0.101.3

An unofficial Python module for fast reading of data from NI FPGA FIFOs with a separate thread.

nifpga-fast-fifo-recv

An unofficial Python module for fast reading of data from NI FPGA FIFOs with a separate thread.

This module provides in Python a class and the methods to start a separate thread which acquire continously data and store them into a queue which can be read asynchronously. This allows to receive data from FPGA in Python ideally without loosing data even for fast data-rate.

The module is developed in Rust by using maturin, pyo3 and the Rust library nifpga-dll, an unofficial Rust bindings to NiFpga.dll library. As described in the example below, nifpga-fast-fifo-recv does not require the nifpga Python module but in typical applications is strongly recommended to use with it.

Disclaimer: The nifpga-fast-fifo-recv Python module is NOT an official NI library! This library is an independent and autonomous development, unaffiliated with NI.

Usage

Installation

pip install nifpga-fast-fifo-recv

Example

from nifpga_fast_fifo_recv import NifpgaFastFifoRecv
fifo = NifpgaFastFifoRecv(bitfile = "myfile.lvbitx",
                          signature = bitfile_signature,
                          ni_address = "RIO0",
                          run = False,
                          close_on_reset = True,
                          fifo = fifo_number,
                          dma_buffer_size = 500000,
                          fifo_reading_buffer = 10000,
                          min_packet = 2,
                          )

fifo.thread_start()

assert(fifo.thread_status()==True)

for i in range(0,100):
    data=fifo.get_data()
    print(data)
    do_something_complicate(data)
    
fifo.thread_stop()

assert(fifo.thread_status()==False)

Please note that in the example above run = False that means that the FPGA suppose to be already programmed with the identical bitfile and in a run state. This can be done by external program or a high-level LabView code, or the python script before or in a separate thread/process. For example, it is possible to make a script load, configure some register and run the bitfile by the standard nifpga library. Once it is running it is possible at the same time use into another thread or process the NifpgaFastFifoRecv, do the thread_start() and get_data().

If you do not need to control registers or other things you can directly run the bitfile from NifpgaFastFifoRecv simply by set run = True.

How to get the signature and the fifo_number (from FIFO name)

The nifpga_fast_fifo_recv in can work alone but in real application is used with nifpga. The bit file .lvbitx is actually an XML file. There is possible to find its signature and the correspondence between FIFO-number and FIFO name given at LabView compilation time. Note typically if you have a single fifo in the bitfile, fifo=0. The nifpga library can ease to extract the signature and the fifo number from the bitfile.

import nifpga
bitfile_reader = nifpga.Bitfile(bitfile)
bitfile_signature = bitfile_reader.signature
bitfile_fifo_number = {i: n for n, i in enumerate(self.bitfile_reader.fifos.keys())}
fifo_number = bitfile_fifo_number["MYFIFO"]

Object structure

The module structure is the following:

class NifpgaFastFifoRecv(object)
     |
     |  NifpgaFastFifoRecv(bitfile='X', signature='ABCD12345678', ni_address='RI0', run=False, close_on_reset=False, fifo=0, dma_buffer_size=50000, fifo_reading_buffer=10000, min_packet=1)
     |  
     |  Methods defined here:
     |  
     |  get_conf(self, /)
     |      get the current configuration
     |  
     |  get_data(self, /)
     |      get data from the internal queue
     |  
     |  thread_is_running(self, /)
     |      thread_is_running return true is thread is running
     |  
     |  thread_start(self, /)
     |      thread_start run the thread
     |  
     |  thread_stop(self, /)
     |      thread_stop stop the thread

Developer

In order to compile this project you need maturin

pip install maturin

and you need also the NiFpga.dll installed in your system.

License

Copyright (c) 2023 Istituto Italiano di Tecnologia

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.