Welcome to NXSDataWriter's documentation!¶

Authors: Jan Kotanski, Eugen Wintersberger, Halil Pasic

Introduction¶

NXSDataWriter is a Tango server which allows to store NeXuS Data in H5 files.

The server provides storing data from other Tango devices, various databases as well as passed by a user client via JSON strings.

Tango Server API: https://nexdatas.github.io/nxsdatawriter/doc_html

Source code: https://github.com/nexdatas/nxsdatawriter
Project Web page: https://nexdatas.github.io/nxsdatawriter
NexDaTaS Web page: https://nexdatas.github.io

Installation¶

Install the dependencies:

pninexus or h5py, tango, numpy, nxstools, sphinx

From sources¶

Download the latest NexDaTaS version from

https://github.com/nexdatas/nxsdatawriter

Extract sources and run

$ python setup.py install

Debian packages¶

Debian bookworm, bullseye, buster or Ubuntu lunar, jammy, focal packages can be found in the HDRI repository.

To install the debian packages, add the PGP repository key

$ sudo su
$ curl -s http://repos.pni-hdri.de/debian_repo.pub.gpg | gpg --no-default-keyring --keyring gnupg-ring:/etc/apt/trusted.gpg.d/debian-hdri-repo.gpg --import
$ chmod 644 /etc/apt/trusted.gpg.d/debian-hdri-repo.gpg

and then download the corresponding source list

$ cd /etc/apt/sources.list.d
$ wget http://repos.pni-hdri.de/bookworm-pni-hdri.list

To install tango server

$ apt-get update
$ apt-get install nxswriter

or

$ apt-get update
$ apt-get install nxswriter3

for older python3 releases.

To install only the python3 package

$ apt-get update
$ apt-get install python3-nxswriter

and for python2

$ apt-get update
$ apt-get install python-nxswriter

if exists.

From pip¶

To install it from pip you can

$ python3 -m venv myvenv
$ . myvenv/bin/activate

$ pip install nxswriter

Moreover it is also good to install

$ pip install pytango
$ pip install pymysqldb
$ pip install psycopg2-binary
$ pip install cx-oracle

Setting NeXus Writer Server¶

To set up NeXus Writer Server run

$ nxsetup -x NXSDataWriter

The nxsetup command comes from the python-nxstools package.

Client code¶

In order to use Nexus Data Server one has to write a client code. Some simple client codes are in the nexdatas repository. In this section we add some comments related to the client code.

# To use the Tango Server we must import the tango module and
# create DeviceProxy for the server.

import tango

device = "p09/tdw/r228"
dpx = tango.DeviceProxy(device)
dpx.set_timeout_millis(10000)

dpx.Init()

# Here device corresponds to a name of our Nexus Data Server.
# The Init() method resets the state of the server.

dpx.FileName = "test.h5"
dpx.OpenFile()

# We set the name of the output HDF5 file and open it.

# Now we are ready to pass the XML settings describing a structure of
# the output file as well as defining a way of data storing.
# Examples of the XMLSettings can be found in the XMLExamples directory.

with open("test.xml", 'r') as fl:
    xml = fl.read()
dpx.XMLSettings = xml

dpx.JSONRecord = '{"data": {"parameterA":0.2},
                      "decoders":{"DESY2D":"desydecoders.desy2Ddec.desy2d"},
                      "datasources":{
                           "MCLIENT":"sources.DataSources.LocalClientSource"}
}'

dpx.OpenEntry()

# We read our XML settings settings from a file and pass them to the server via
# the XMLSettings attribute. Then we open an entry group related to the XML
# configuration. Optionally, we can also set JSONRecord, i.e. an attribute
# which contains a global JSON string with data needed to store during opening
# the entry and also other stages of recording. If external decoder for
# DevEncoded data is need one can registred it passing its packages and
# class names in JSONRecord,
# e.g. "desy2d" class of "DESY2D" label in "desydecoders.desy2Ddec" package.
# Similarly making use of "datasources" records of the JSON string one can
# registred additional datasources. The OpenEntry method stores data defined
# in the XML string with strategy=INIT.
# The JSONRecord attribute can be changed during recording our data.

# After finalization of the configuration process we can start recording
# the main experiment data in a STEP mode.

dpx.Record('{"data": {"p09/counter/exp.01":0.1, "p09/counter/exp.02":1.1}}')

# Every time we call the Record method all nexus fields defined with
# strategy=STEP are extended by one record unit and the assigned to them data
# is stored. As the method argument we pass a local JSON string with the client
# data. To record the client data one can also use the global JSONRecord string.
# Contrary to the global JSON string the local one is only
# valid during one record step.

dpx.Record('{"data": {"emittance_x": 0.1},  "triggers":["trigger1", "trigger2"]  }')

# If you denote in your XML configuration string some fields by additional
# trigger attributes you may ask the server to store your data only in specific
# record steps. This can be helpful if you want to store your data in
# asynchronous mode. To this end you define in the local JSON string a list of
# triggers which are used in the current record step.

dpx.JSONRecord = '{"data": {"parameterB":0.3}}'
dpx.CloseEntry()

# After scanning experiment data in 'STEP' mode we close the entry.
# To this end we call the CloseEntry method which also stores data defined
# with strategy=FINAL. Since our HDF5 file can contain many entries we can again
# open the entry and repeat our record procedure. If we define more than one entry
# in one XML setting string the defined entries are recorded parallel
# with the same steps.

# Finally, we can close our output file by

dpx.CloseFile()

Additionally, one can use asynchronous versions of OpenEntry, Record, CloseEntry, i.e. OpenEntryAsynch, RecordAsynch, CloseEntryAsynch. In this case data is stored in a background thread and during this writing Tango Data Server has a state RUNNING.

In order to build the XML configurations in the easy way the authors of the server provide for this purpose a specialized GUI tool, Component Designer. The attached to the server XML examples was created by XMLFile class defined in XMLCreator/simpleXML.py.