Skip to main content

A python library for controlling ITLA and microITLA devices.

Project description

pytla

pytla the Python (Integrable) Tunable Laser Assembly library!

This is meant to be an open source and relatively user friendly way to interact with Integrable Tubable Laser Assembly lasers. The pytla package provides a base class ITLA that can be extended for specific manufacturer requirements with another yaml register file to specify the new registers.

Current Specs Followed

  • OIF-ITLA-MSA-01.3.
    • This communication scheme supports microITLA 1.1 devices as well.
  • OIF-ITLA-MSA-01.2.
    • Some older devices still adhere to the 1.2 standard. These can be accessed by setting version='1.2 parameter on ITLA object initialization. Example below.
    • If you are receiving unexpected execution errors on register functions like _fcf3 it is likely you need to use version='1.2'.

Status

This is very much a work in progress. Use at your own risk. I would call this pre-alpha but most functionality exists and we use it at SpectrumLab.

Hidden functions for each register (names the same as each register but in lowercase) are available. Some registers still don't have user friendly functions defined for them.

It would be nice if we could include documentation for the hidden register functions for each class in the pytla docs.

Examples

default use (with MSA-01.3 lasers)

# import, initialize, and connect to laser
import itla
import time
from itla.itla_errors import CPExcpetion

laser = itla.ITLA('/dev/ttyUSB0', 9600)
laser.connect()

# Set the frequency to 193.560 THz
laser.set_frequency(193.560)

# Set the power to 10 dBm
laser.set_power(10)

# enable the laser
# enabling takes some time so a CPExcpetion will be thrown
# It is necessary to catch this explicitly so the user
# doesnt continue on without explicitly handling this time delay
# (at least until we implement checking the pending bit in nop)
try:
    laser.enable()
except CPException:
    time.sleep(30)

More info about features available currently can be found in pytla docs.

version selection

You can also select the 1.2 spec if your laser does not yet support 1.3. This is as simple as setting version in initialization of your ITLA object.

# import, initialize, and connect to laser
import itla
import time
from itla.itla_errors import CPExcpetion

laser = itla.ITLA('/dev/ttyUSB0', 9600, version='1.2')
laser.connect()

# Set the frequency to 193.560 THz
laser.set_frequency(193.560)

# Set the power to 10 dBm
laser.set_power(10)

# enable the laser
# enable the laser
# enabling takes some time so a CPExcpetion will be thrown
# It is necessary to catch this explicitly so the user
# doesnt continue on without explicitly handling this time delay
# (at least until we implement checking the pending bit in nop)
try:
    laser.enable()
except CPException:
    time.sleep(30)

Currently supported options under version

  • version='1.3' (OIF-ITLA-MSA-01.3)
  • version='1.2' (OIF-ITLA-MSA-01.2)

Pure Photonics

We have also implemented a class for PurePhotonics lasers as an example of how easy it can be for manufacturers to extend this library to control their own ITLA based lasers.

# import, initialize, and connect to laser
import itla
import time
from itla.itla_errors import CPExcpetion

pplaser = itla.PPLaser('/dev/ttyUSB0')
pplaser.connect()

# Set the frequency to 193.560 THz
laser.set_frequency(193.560)

# Set the power to 10 dBm
laser.set_power(10)

# enable the laser
# enable the laser
# enabling takes some time so a CPExcpetion will be thrown
# It is necessary to catch this explicitly so the user
# doesnt continue on without explicitly handling this time delay
# (at least until we implement checking the pending bit in nop)
try:
    laser.enable()
except CPException:
    time.sleep(30)

laser.whispermode()

Paradigm

The basic paradigm we have used for implementing this library is one in which functions are created for all registers based on a yaml file specifying and describing each register. These are all implemented as hidden functions with a single underscore.

For simplicity all ITLA register functions are named as follows: assuming we have some register named REGISTER in the ITLA documentation the corresponding function would be _register().

For Manufacturers

If you would like to have a specific class available for your particular type of laser please create a yaml file as specified below and submit it for inclusion. Please also provide any details for the order of operations required to enable or activate your features.

This library was designed to be simple to extend for implementing manufacturer specific registers and functions. The first step is to create a yaml file containing all of the additional registers your laser will utilize. Each entry should have the following format.

RegisterName:
  register: 0x00
  fnname: registername
  description: >
    Here we provide a description of this particular register for documentation
    purposes. It is best to format this the same way you would a docstring as it
    will be read as a docstring.
  readonly: [true/false]
  AEA: [true/false]
  signed: [true/false]

MYREGISTER:
  register: 0xFE
  fnname: myregister
  description: >
  This is my very own register. I can write a signed integer to it or read it back.
  readonly: true
  AEA: false
  signed: true

You can name your register whatever you'd like and name the function for accessing it to whatever you'd like as long as it is acceptable for python. Generally a best practice is to make the register function name all lowercase and change dashes to underscores. The register value must be numeric. It can be base 10 but best practice is hex values.

Assuming you have installed the pytla package and your yaml register file is in the same folder as the file with the MyLaser class you can create a class with hidden functions for your registers implemented in addition to the basic ITLA1.3 registers and wrapper functions.

Realistically, unless you are OIF and you are defining a 1.4 or 2.0 spec, you should not need to write a class that depends directly on ITLABase. Instead, you are likely adding functionality to the 1.3 (or older) standard.

from itla.itla13 import ITLA13

class MyLaser(ITLA13):

    def __init__(self, port, baudrate=9600):
        register_files = ['myregisters.yaml']
        super().__init__(port, baudrate=baudrate, register_files=register_files)

    def myfunction(self, data=None):
        '''This function either writes an integer to register 0xFE or reads an
            integer from 0xFE
        '''

        if data is not None:
            response = self._myregister()

        elif type(data) is int:
            response = self._myregister(data)

        else
           raise TypeError("Must be an int!")

        return int.from_bytes(response, 'big', signed=True)

Acknowlegements

This work was done as a part of projects for

  • Montana State University
  • Spectrum Lab

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

pytla-0.1.0.tar.gz (25.5 kB view details)

Uploaded Source

Built Distribution

pytla-0.1.0-py3-none-any.whl (32.1 kB view details)

Uploaded Python 3

File details

Details for the file pytla-0.1.0.tar.gz.

File metadata

  • Download URL: pytla-0.1.0.tar.gz
  • Upload date:
  • Size: 25.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.10

File hashes

Hashes for pytla-0.1.0.tar.gz
Algorithm Hash digest
SHA256 a7bbe0c0b4fa4b03bf39bddc05906bd07d2b06066bc40ba7d4b2c24f8dfb4d7e
MD5 ffda024ae899aa32f66bff76b8e58881
BLAKE2b-256 99732a9ffe927e86d57631d1fea63e846bbbc56016fa1ec88793b8997390c0a9

See more details on using hashes here.

File details

Details for the file pytla-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: pytla-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 32.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.10

File hashes

Hashes for pytla-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3efb8e9b71466e49226ba7db17a12591f15a525bf8f3e95490caebe1eb6c61cc
MD5 ec007fcf576a82c5539b94e51ac7b833
BLAKE2b-256 bc6b94cb0aae18dd5f44ba8b4d0ba07c4fc7e65573818ed8527e7f989840c20b

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