Skip to main content

Epics Channel Access for Python

Project description

PyEpics: Epics Channel Access for Python

https://github.com/pyepics/pyepics/actions/workflows/test-with-conda.yml/badge.svg https://img.shields.io/pypi/v/pyepics.svg https://img.shields.io/badge/docs-read-brightgreen https://zenodo.org/badge/4185/pyepics/pyepics.svg

PyEpics is a Python interface to the EPICS Channel Access (CA) library for the EPICS control system.

The PyEpics module includes both low-level (C-like) and higher-level access (with Python objects) to the EPICS Channnel Access (CA) protocol. Python’s ctypes library is used to wrap the basic CA functionality, with higher level objects on top of that basic interface. This approach has several advantages including no need for extension code written in C, better thread-safety, and easier installation on multiple platforms.

Installation

This package is supported and tested with Python 3.8 through 3.12. Shared libraries needed for Epics Channel Access are provided for Windows, MacOS, and Linux, and used by default. If you wish to use your own versions of the CA shared libraries, that can be controlled with an environmental variable.

To install the package, use:

pip install pyepics

To install from source, download the source kit for the latest release from PyPI (https://pypi.org/project/pyepics/) or Github (https://github.com/pyepics/pyepics/releases), unpack that and use:

pip install .

For additional installation details, see the INSTALL file. Binary installers for Windows are available.

License

This code is distributed under the Epics Open License

Overview

Pyepics provides two principle modules: ca, and pv, and functions caget(), caput(), and cainfo() for the simplest of interaction with EPICS. In addition, there are modules for Epics Motors and Alarms, autosave support via CA, and special widget classes for using EPICS PVs with wxPython.

caget(), caput() and cainfo()

The simplest interface to EPICS Channel Access provides functions caget(), caput(), and cainfo(), similar to the EZCA interface and to the EPICS-supplied command line utilities. These all take the name of an Epics Process Variable as the first argument:

 ~> python
 >>> from epics import caget, caput, cainfo
 >>> print(caget('XXX:m1.VAL'))
1.200
>>> caput('XXX:m1.VAL',2.30)
1
>>> cainfo('XXX.m1.VAL')
== XXX:m1.VAL  (double) ==
   value      = 2.3
   char_value = 2.3000
   count      = 1
   units      = mm
   precision  = 4
   host       = xxx.aps.anl.gov:5064
   access     = read/write
   status     = 1
   severity   = 0
   timestamp  = 1265996455.417 (2010-Feb-12 11:40:55.417)
   upper_ctrl_limit    = 200.0
   lower_ctrl_limit    = -200.0
   upper_disp_limit    = 200.0
   lower_disp_limit    = -200.0
   upper_alarm_limit   = 0.0
   lower_alarm_limit   = 0.0
   upper_warning_limit = 0.0
   lower_warning       = 0.0
   PV is monitored internally
   no user callbacks defined.
=============================

PV: Object Oriented CA interface

The general concept is that an Epics Process Variable is implemented as a Python PV object, which provides a natural way to interact with EPICS.

>>> import epics
>>> pv = epics.PV('PVName')
>>> pv.connected
True
>>> pv.get()
3.14
>>> pv.put(2.71)

Channel Access features that are included here:

  • user callbacks - user-supplied Python function(s) that are run when a PV’s value, access rights, or connection status changes

  • control values - a full Control DBR record can be requested

  • enumeration strings - enum PV types have integer or string representation, and you get access to both

  • put with wait - The PV.put() method can optionally wait until the record is done processing (with timeout)

Features that you won’t have to worry about:

  • connection management (unless you choose to worry about this)

  • PV record types - this is handled automatically.

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

pyepics-3.5.10.tar.gz (6.2 MB view details)

Uploaded Source

Built Distribution

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

pyepics-3.5.10-py3-none-any.whl (5.3 MB view details)

Uploaded Python 3

File details

Details for the file pyepics-3.5.10.tar.gz.

File metadata

  • Download URL: pyepics-3.5.10.tar.gz
  • Upload date:
  • Size: 6.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.13

File hashes

Hashes for pyepics-3.5.10.tar.gz
Algorithm Hash digest
SHA256 f390cf9be40aba757b9528888114bc14d8db01086d0c93914720b1772460375b
MD5 1cae8d7ea20edcb6049eafc0b046f094
BLAKE2b-256 695729e1e9ef11ba2a3419f489946ae1d8190025a1e4f4e1c1686758bb2b6e0a

See more details on using hashes here.

File details

Details for the file pyepics-3.5.10-py3-none-any.whl.

File metadata

  • Download URL: pyepics-3.5.10-py3-none-any.whl
  • Upload date:
  • Size: 5.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.13

File hashes

Hashes for pyepics-3.5.10-py3-none-any.whl
Algorithm Hash digest
SHA256 c9fac2c54f2b595268e66fc348cf5ec24e63718e7dbd07d73d1b37d4da6bfee1
MD5 19279e91da239e53b29b81c1009bede2
BLAKE2b-256 d636e517fd83bd97d6bfe4105e0c6b322070c5cc36fb56a8fab2866e319f8804

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