diff --git a/CDB/thijs_ConfigDb.json b/CDB/thijs_ConfigDb.json
new file mode 100644
index 0000000000000000000000000000000000000000..839a4e6d475d3f0783fb8a2bbda12e2163d93eb0
--- /dev/null
+++ b/CDB/thijs_ConfigDb.json
@@ -0,0 +1,108 @@
+{
+ "servers": {
+ "PCC": {
+ "1": {
+ "PCC": {
+ "LTS/PCC/1": {
+ "properties": {
+ "OPC_Server_Name": [
+ "host.docker.internal"
+ ]
+ }
+ }
+ }
+ }
+ },
+ "SDP": {
+ "1": {
+ "SDP": {
+ "LTS/SDP/1": {
+ "properties": {
+ "OPC_Server_Name": [
+ "host.docker.internal"
+ ]
+ }
+ }
+ }
+ }
+ },
+ "example_device": {
+ "1": {
+ "example_device": {
+ "LTS/example_device/1": {
+ "attribute_properties": {
+ "Ant_mask_RW": {
+ "archive_period": [
+ "600000"
+ ]
+ }
+ },
+ "properties": {
+ "OPC_Server_Name": [
+ "host.docker.internal"
+ ],
+ "OPC_Server_Port": [
+ "4842"
+ ],
+ "OPC_Time_Out": [
+ "5.0"
+ ]
+ }
+ }
+ }
+ }
+ },
+ "ini_device": {
+ "1": {
+ "ini_device": {
+ "LTS/ini_device/1": {
+ "attribute_properties": {
+ "Ant_mask_RW": {
+ "archive_period": [
+ "600000"
+ ]
+ }
+ },
+ "properties": {
+ "OPC_Server_Name": [
+ "host.docker.internal"
+ ],
+ "OPC_Server_Port": [
+ "4842"
+ ],
+ "OPC_Time_Out": [
+ "5.0"
+ ]
+ }
+ }
+ }
+ }
+ },
+ "SNMP": {
+ "1": {
+ "SNMP": {
+ "LTS/SNMP/1": {
+ "attribute_properties": {
+ "Ant_mask_RW": {
+ "archive_period": [
+ "600000"
+ ]
+ }
+ },
+ "properties": {
+ "SNMP_community": [
+ "public"
+ ],
+ "SNMP_host": [
+ "192.168.178.17"
+ ],
+ "SNMP_timeout": [
+ "5.0"
+ ]
+ }
+ }
+ }
+ }
+ }
+ }
+}
diff --git a/devices/PCC.py b/devices/PCC.py
index 266725ab410b9b56c6d326a61f22cd8e332d54d6..ff0ed0914f43272ab195b8a55f8f550e7fdd3ceb 100644
--- a/devices/PCC.py
+++ b/devices/PCC.py
@@ -117,13 +117,13 @@ class PCC(hardware_device):
# overloaded functions
# --------
@log_exceptions()
- def off(self):
+ def configure_for_off(self):
""" user code here. is called when the state is set to OFF """
# Stop keep-alive
self.OPCua_client.stop()
@log_exceptions()
- def initialise(self):
+ def configure_for_initialise(self):
""" user code here. is called when the state is set to INIT """
# Init the dict that contains function to OPC-UA function mappings.
diff --git a/devices/SDP.py b/devices/SDP.py
index 7db55b341b5a7a86bcef2b0e9f04a44639ad7d4b..2d14a96fc6f977749a920d7b1414a2febb7fe7b6 100644
--- a/devices/SDP.py
+++ b/devices/SDP.py
@@ -116,14 +116,14 @@ class SDP(hardware_device):
# overloaded functions
# --------
@log_exceptions()
- def off(self):
+ def configure_for_off(self):
""" user code here. is called when the state is set to OFF """
# Stop keep-alive
self.opcua_connection.stop()
@log_exceptions()
- def initialise(self):
+ def configure_for_initialise(self):
""" user code here. is called when the sate is set to INIT """
"""Initialises the attributes and properties of the SDP."""
diff --git a/devices/clients/ini_client.py b/devices/clients/ini_client.py
new file mode 100644
index 0000000000000000000000000000000000000000..2f4d714b57dd57d327795fe59fd6edf43eb4c9fa
--- /dev/null
+++ b/devices/clients/ini_client.py
@@ -0,0 +1,192 @@
+from util.comms_client import CommClient
+import configparser
+import numpy
+
+__all__ = ["ini_client"]
+
+
+numpy_to_ini_dict = {
+ numpy.int64: int,
+ numpy.double: float,
+ numpy.float64: float,
+ numpy.bool_: bool,
+ str: str
+}
+
+numpy_to_ini_get_dict = {
+ numpy.int64: configparser.ConfigParser.getint,
+ numpy.double: configparser.ConfigParser.getfloat,
+ numpy.float64: configparser.ConfigParser.getfloat,
+ numpy.bool_: configparser.ConfigParser.getboolean,
+ str: str
+}
+
+ini_to_numpy_dict = {
+ int: numpy.int64,
+ float: numpy.float64,
+ bool: numpy.bool_,
+ str: numpy.str_
+}
+
+import os
+
+class ini_client(CommClient):
+ """
+ this class provides an example implementation of a comms_client.
+ Durirng initialisation it creates a correctly shaped zero filled value. on read that value is returned and on write its modified.
+ """
+
+ def start(self):
+ super().start()
+
+ def __init__(self, filename, fault_func, streams, try_interval=2):
+ """
+ initialises the class and tries to connect to the client.
+ """
+ self.config = configparser.ConfigParser()
+ self.filename = filename
+
+ super().__init__(fault_func, streams, try_interval)
+
+ # Explicitly connect
+ if not self.connect():
+ # hardware or infra is down -- needs fixing first
+ fault_func()
+ return
+
+ def connect(self):
+ self.config_file = open(self.filename, "r")
+
+ self.connected = True # set connected to true
+ return True # if successful, return true. otherwise return false
+
+ def disconnect(self):
+ self.connected = False # always force a reconnect, regardless of a successful disconnect
+ self.streams.debug_stream("disconnected from the 'client' ")
+
+ def _setup_annotation(self, annotation):
+ """
+ this function gives the client access to the comm client annotation data given to the attribute wrapper.
+ The annotation data can be used to provide whatever extra data is necessary in order to find/access the monitor/control point.
+
+ the annotation can be in whatever format may be required. it is up to the user to handle its content
+ example annotation may include:
+ - a file path and file line/location
+ - COM object path
+
+ Annotations:
+ name: Required, the name of the ini variable
+ section: Required, the section of the ini variable
+
+ """
+
+ # as this is an example, just print the annotation
+ self.streams.debug_stream("annotation: {}".format(annotation))
+ name = annotation.get('name')
+ if name is None:
+ ValueError("ini client requires a variable `name` in the annotation to set/get")
+ section = annotation.get('section')
+ if section is None:
+ ValueError("requires a `section` specified in the annotation to open")
+
+ return section, name
+
+
+ def _setup_value_conversion(self, attribute):
+ """
+ gives the client access to the attribute_wrapper object in order to access all
+ necessary data such as dimensionality and data type
+ """
+
+ dim_y = attribute.dim_y
+ dim_x = attribute.dim_x
+
+ dtype = attribute.numpy_type
+
+ return dim_y, dim_x, dtype
+
+ def _setup_mapping(self, name, section, dtype, dim_y, dim_x):
+ """
+ takes all gathered data to configure and return the correct read and write functions
+ """
+
+ def read_function():
+ self.config.read_file(self.config_file)
+ value = self.config.get(section, name)
+
+ value = data_handler(value, dtype)
+
+ if dim_y > 1:
+ # if data is an image, slice it according to the y dimensions
+ value = numpy.array(numpy.split(value, indices_or_sections=dim_y))
+
+ return value
+
+ def write_function(value):
+
+ if type(value) is list:
+ write_value = ", ".join([str(v) for v in value])
+
+ else:
+ write_value = str(value)
+
+ self.config.read_file(self.config_file)
+ self.config.set(section, name, write_value)
+ fp = open(self.filename, 'w')
+ self.config.write(fp)
+
+ return read_function, write_function
+
+ def setup_attribute(self, annotation=None, attribute=None):
+ """
+ MANDATORY function: is used by the attribute wrapper to get read/write functions.
+ must return the read and write functions
+ """
+
+ # process the comms_annotation
+ section, name = self._setup_annotation(annotation)
+
+ # get all the necessary data to set up the read/write functions from the attribute_wrapper
+ dim_y, dim_x, dtype = self._setup_value_conversion(attribute)
+
+ # configure and return the read/write functions
+ read_function, write_function = self._setup_mapping(name, section, dtype, dim_y, dim_x)
+
+ # return the read/write functions
+ return read_function, write_function
+
+def data_handler(string, dtype):
+ value = []
+
+ if dtype is numpy.bool_:
+ # Handle special case for Bools
+ for i in string.split(","):
+ i = i.strip(" ")
+ if "True" == i:
+ value.append(True)
+ elif "False" == i:
+ value.append(False)
+ else:
+ raise ValueError("String to bool failed. String is not True/False, but is: '{}'".format(i))
+
+ value = dtype(value)
+
+ elif dtype is numpy.str_:
+ for i in string.split(","):
+ val = numpy.str_(i)
+ value.append(val)
+
+ value = numpy.array(value)
+
+ else:
+ # regular case, go through the separator
+ for i in string.split(","):
+ i = i.replace(" ", "")
+ val = dtype(i)
+ value.append(val)
+
+
+ # convert values from buildin type to numpy type
+ value = dtype(value)
+
+ return value
diff --git a/devices/ini_device.py b/devices/ini_device.py
index 5b11d236017c19bea6bd951e694518a08ec1900c..0b81611830e9ed14e76141ee583a1e6a7ddb8c60 100644
--- a/devices/ini_device.py
+++ b/devices/ini_device.py
@@ -15,10 +15,12 @@ from tango.server import device_property
from tango import AttrWriteType
from tango import DevState
# Additional import
-from src.attribute_wrapper import attribute_wrapper
-from src.hardware_device import hardware_device
+from util.attribute_wrapper import attribute_wrapper
+from util.hardware_device import hardware_device
+import configparser
+import numpy
from clients.ini_client import *
@@ -26,6 +28,32 @@ from clients.ini_client import *
__all__ = ["ini_device"]
+def write_ini_file(filename):
+ with open(filename, 'w') as configfile:
+
+ config = configparser.ConfigParser()
+ config['scalar'] = {}
+ config['scalar']['double_scalar_R'] = '1.2'
+ config['scalar']['bool_scalar_R'] = 'True'
+ config['scalar']['int_scalar_R'] = '5'
+ config['scalar']['str_scalar_R'] = 'this is a test'
+
+ config['spectrum'] = {}
+ config['spectrum']['double_spectrum_R'] = '1.2, 2.3, 3.4, 4.5'
+ config['spectrum']['bool_spectrum_R'] = 'True, True, False, False'
+ config['spectrum']['int_spectrum_R'] = '1, 2, 3, 4'
+ config['spectrum']['str_spectrum_R'] = '"a", "b", "c", "d"'
+
+ config['image'] = {}
+ config['image']['double_image_R'] = '1.2, 2.3, 3.4, 4.5, 5.6, 6.7'
+ config['image']['bool_image_R'] = 'True, True, False, False, True, False'
+ config['image']['int_image_R'] = '1, 2, 3, 4, 5, 6'
+ config['image']['str_image_R'] = '"a", "b", "c", "d", "e", "f"'
+
+ config.write(configfile)
+
+
+
class ini_device(hardware_device):
"""
This class is the minimal (read empty) implementation of a class using 'hardware_device'
@@ -41,61 +69,42 @@ class ini_device(hardware_device):
...
"""
- double_scalar_RW = attribute_wrapper(comms_annotation={"section": "scalar", "name": "double_scalar"}, datatype=numpy.double, access=AttrWriteType.READ_WRITE)
- double_scalar_R = attribute_wrapper(comms_annotation={"section": "scalar", "name": "double_scalar"}, datatype=numpy.double)
- bool_scalar_RW = attribute_wrapper(comms_annotation={"section": "scalar", "name": "bool_scalar"}, datatype=numpy.bool_, access=AttrWriteType.READ_WRITE)
- bool_scalar_R = attribute_wrapper(comms_annotation={"section": "scalar", "name": "bool_scalar"}, datatype=numpy.bool_)
- int_scalar_RW = attribute_wrapper(comms_annotation={"section": "scalar", "name": "int_scalar"}, datatype=numpy.int64, access=AttrWriteType.READ_WRITE)
- int_scalar_R = attribute_wrapper(comms_annotation={"section": "scalar", "name": "int_scalar"}, datatype=numpy.int64)
- str_scalar_RW = attribute_wrapper(comms_annotation={"section": "scalar", "name": "str_scalar"}, datatype=numpy.str, access=AttrWriteType.READ_WRITE)
- str_scalar_R = attribute_wrapper(comms_annotation={"section": "scalar", "name": "str_scalar"}, datatype=numpy.str)
-
- double_spectrum_RW = attribute_wrapper(comms_annotation={"section": "spectrum", "name": "double_spectrum"}, datatype=numpy.double, dims=(4,), access=AttrWriteType.READ_WRITE)
- double_spectrum_R = attribute_wrapper(comms_annotation={"section": "spectrum", "name": "double_spectrum"}, datatype=numpy.double, dims=(4,))
- bool_spectrum_RW = attribute_wrapper(comms_annotation={"section": "spectrum", "name": "bool_spectrum"}, datatype=numpy.bool_, dims=(4,), access=AttrWriteType.READ_WRITE)
- bool_spectrum_R = attribute_wrapper(comms_annotation={"section": "spectrum", "name": "bool_spectrum"}, datatype=numpy.bool_, dims=(4,))
- int_spectrum_RW = attribute_wrapper(comms_annotation={"section": "spectrum", "name": "int_spectrum"}, datatype=numpy.int64, dims=(4,), access=AttrWriteType.READ_WRITE)
- int_spectrum_R = attribute_wrapper(comms_annotation={"section": "spectrum", "name": "int_spectrum"}, datatype=numpy.int64, dims=(4,))
- str_spectrum_RW = attribute_wrapper(comms_annotation={"section": "spectrum", "name": "str_spectrum"}, datatype=numpy.str, dims=(4,), access=AttrWriteType.READ_WRITE)
- str_spectrum_R = attribute_wrapper(comms_annotation={"section": "spectrum", "name": "str_spectrum"}, datatype=numpy.str, dims=(4,))
-
- double_image_RW = attribute_wrapper(comms_annotation={"section": "image", "name": "double_image"}, datatype=numpy.double, dims=(3, 2), access=AttrWriteType.READ_WRITE)
- double_image_R = attribute_wrapper(comms_annotation={"section": "image", "name": "double_image"}, datatype=numpy.double, dims=(3, 2))
- bool_image_RW = attribute_wrapper(comms_annotation={"section": "image", "name": "bool_image"}, datatype=numpy.bool_, dims=(3, 2), access=AttrWriteType.READ_WRITE)
- bool_image_R = attribute_wrapper(comms_annotation={"section": "image", "name": "bool_image"}, datatype=numpy.bool_, dims=(3, 2))
- int_image_RW = attribute_wrapper(comms_annotation={"section": "image", "name": "int_image"}, datatype=numpy.int64, dims=(3, 2), access=AttrWriteType.READ_WRITE)
- int_image_R = attribute_wrapper(comms_annotation={"section": "image", "name": "int_image"}, datatype=numpy.int64, dims=(3, 2))
- str_image_RW = attribute_wrapper(comms_annotation={"section": "image", "name": "str_image"}, datatype=numpy.str, dims=(3, 2), access=AttrWriteType.READ_WRITE)
- str_image_R = attribute_wrapper(comms_annotation={"section": "image", "name": "str_image"}, datatype=numpy.str, dims=(3, 2))
-
-
- def always_executed_hook(self):
- """Method always executed before any TANGO command is executed."""
- pass
-
- def delete_device(self):
- """Hook to delete resources allocated in init_device.
-
- This method allows for any memory or other resources allocated in the
- init_device method to be released. This method is called by the device
- destructor and by the device Init command (a Tango built-in).
- """
- self.debug_stream("Shutting down...")
-
- self.Off()
- self.debug_stream("Shut down. Good bye.")
+ double_scalar_RW = attribute_wrapper(comms_annotation={"section": "scalar", "name": "double_scalar_RW"}, datatype=numpy.double, access=AttrWriteType.READ_WRITE)
+ double_scalar_R = attribute_wrapper(comms_annotation={"section": "scalar", "name": "double_scalar_R"}, datatype=numpy.double)
+ bool_scalar_RW = attribute_wrapper(comms_annotation={"section": "scalar", "name": "bool_scalar_RW"}, datatype=numpy.bool_, access=AttrWriteType.READ_WRITE)
+ bool_scalar_R = attribute_wrapper(comms_annotation={"section": "scalar", "name": "bool_scalar_R"}, datatype=numpy.bool_)
+ int_scalar_RW = attribute_wrapper(comms_annotation={"section": "scalar", "name": "int_scalar_RW"}, datatype=numpy.int64, access=AttrWriteType.READ_WRITE)
+ int_scalar_R = attribute_wrapper(comms_annotation={"section": "scalar", "name": "int_scalar_R"}, datatype=numpy.int64)
+ str_scalar_RW = attribute_wrapper(comms_annotation={"section": "scalar", "name": "str_scalar_RW"}, datatype=numpy.str_, access=AttrWriteType.READ_WRITE)
+ str_scalar_R = attribute_wrapper(comms_annotation={"section": "scalar", "name": "str_scalar_R"}, datatype=numpy.str_)
+
+ double_spectrum_RW = attribute_wrapper(comms_annotation={"section": "spectrum", "name": "double_spectrum_RW"}, datatype=numpy.double, dims=(4,), access=AttrWriteType.READ_WRITE)
+ double_spectrum_R = attribute_wrapper(comms_annotation={"section": "spectrum", "name": "double_spectrum_R"}, datatype=numpy.double, dims=(4,))
+ bool_spectrum_RW = attribute_wrapper(comms_annotation={"section": "spectrum", "name": "bool_spectrum_RW"}, datatype=numpy.bool_, dims=(4,), access=AttrWriteType.READ_WRITE)
+ bool_spectrum_R = attribute_wrapper(comms_annotation={"section": "spectrum", "name": "bool_spectrum_R"}, datatype=numpy.bool_, dims=(4,))
+ int_spectrum_RW = attribute_wrapper(comms_annotation={"section": "spectrum", "name": "int_spectrum_RW"}, datatype=numpy.int64, dims=(4,), access=AttrWriteType.READ_WRITE)
+ int_spectrum_R = attribute_wrapper(comms_annotation={"section": "spectrum", "name": "int_spectrum_R"}, datatype=numpy.int64, dims=(4,))
+ str_spectrum_RW = attribute_wrapper(comms_annotation={"section": "spectrum", "name": "str_spectrum_RW"}, datatype=numpy.str_, dims=(4,), access=AttrWriteType.READ_WRITE)
+ str_spectrum_R = attribute_wrapper(comms_annotation={"section": "spectrum", "name": "str_spectrum_R"}, datatype=numpy.str_, dims=(4,))
+
+ double_image_RW = attribute_wrapper(comms_annotation={"section": "image", "name": "double_image_RW"}, datatype=numpy.double, dims=(3, 2), access=AttrWriteType.READ_WRITE)
+ double_image_R = attribute_wrapper(comms_annotation={"section": "image", "name": "double_image_R"}, datatype=numpy.double, dims=(3, 2))
+ bool_image_RW = attribute_wrapper(comms_annotation={"section": "image", "name": "bool_image_RW"}, datatype=numpy.bool_, dims=(3, 2), access=AttrWriteType.READ_WRITE)
+ bool_image_R = attribute_wrapper(comms_annotation={"section": "image", "name": "bool_image_R"}, datatype=numpy.bool_, dims=(3, 2))
+ int_image_RW = attribute_wrapper(comms_annotation={"section": "image", "name": "int_image_RW"}, datatype=numpy.int64, dims=(3, 2), access=AttrWriteType.READ_WRITE)
+ int_image_R = attribute_wrapper(comms_annotation={"section": "image", "name": "int_image_R"}, datatype=numpy.int64, dims=(3, 2))
+ str_image_RW = attribute_wrapper(comms_annotation={"section": "image", "name": "str_image_RW"}, datatype=numpy.str_, dims=(3, 2), access=AttrWriteType.READ_WRITE)
+ str_image_R = attribute_wrapper(comms_annotation={"section": "image", "name": "str_image_R"}, datatype=numpy.str_, dims=(3, 2))
# --------
# overloaded functions
# --------
- def initialise(self):
+ def configure_for_initialise(self):
""" user code here. is called when the sate is set to INIT """
"""Initialises the attributes and properties of the PCC."""
- self.set_state(DevState.INIT)
-
# set up the OPC ua client
- self.ini_client = ini_client("example/example.ini", self.Fault, self)
+ self.ini_client = ini_client("example.ini", self.Fault, self)
# map an access helper class
for i in self.attr_list():
@@ -108,6 +117,9 @@ class ini_device(hardware_device):
# Run server
# ----------
def main(args=None, **kwargs):
+ write_ini_file("example.ini")
+
+
"""Main function of the hardware device module."""
return run((ini_device,), args=args, **kwargs)
diff --git a/devices/util/archiver.py b/devices/util/archiver.py
old mode 100755
new mode 100644
diff --git a/devices/util/get_internal_attribute_history.py b/devices/util/get_internal_attribute_history.py
old mode 100755
new mode 100644
diff --git a/devices/util/hardware_device.py b/devices/util/hardware_device.py
index 7d547447260e249d571bdd46d077a32ecc6ac58e..e0c9154c703a7cb82c42e9cdd7db76d68a011e05 100644
--- a/devices/util/hardware_device.py
+++ b/devices/util/hardware_device.py
@@ -23,7 +23,7 @@ __all__ = ["hardware_device"]
from util.wrappers import only_in_states, fault_on_error
-#@log_exceptions
+#@log_exceptions()
class hardware_device(Device):
"""
@@ -85,7 +85,7 @@ class hardware_device(Device):
self.set_state(DevState.INIT)
self.setup_value_dict()
- self.initialise()
+ self.configure_for_initialise()
self.set_state(DevState.STANDBY)
@@ -100,7 +100,7 @@ class hardware_device(Device):
:return:None
"""
- self.on()
+ self.configure_for_on()
self.set_state(DevState.ON)
@command()
@@ -119,7 +119,7 @@ class hardware_device(Device):
# Turn off
self.set_state(DevState.OFF)
- self.off()
+ self.configure_for_off()
# Turn off again, in case of race conditions through reconnecting
self.set_state(DevState.OFF)
@@ -138,18 +138,18 @@ class hardware_device(Device):
:return:None
"""
- self.fault()
+ self.configure_for_fault()
self.set_state(DevState.FAULT)
# functions that can be overloaded
- def fault(self):
+ def configure_for_fault(self):
pass
- def off(self):
+ def configure_for_off(self):
pass
- def on(self):
+ def configure_for_on(self):
pass
- def initialise(self):
+ def configure_for_initialise(self):
pass
def always_executed_hook(self):
diff --git a/devices/util/lofar2_config.py b/devices/util/lofar2_config.py
old mode 100755
new mode 100644
diff --git a/devices/util/lofar_logging.py b/devices/util/lofar_logging.py
index aa7d3633138679c63fd1934cf8d5638df7b1cedf..4bedad018047614c16d65b75816ac12dc7dbd7d0 100644
--- a/devices/util/lofar_logging.py
+++ b/devices/util/lofar_logging.py
@@ -1,5 +1,6 @@
import logging
from functools import wraps
+import sys
# Always also log the hostname because it makes the origin of the log clear.
import socket
@@ -14,7 +15,7 @@ def configure_logger(logger: logging.Logger, log_extra=None):
# log to the tcp_input of logstash in our ELK stack
handler = AsynchronousLogstashHandler("elk", 5959, database_path='pending_log_messages.db')
- # configure log messages
+ # configure log messages
formatter = LogstashFormatter(extra=log_extra, tags=["python", "lofar"])
handler.setFormatter(formatter)
diff --git a/devices/util/startup.py b/devices/util/startup.py
old mode 100755
new mode 100644
index f98097f994afc340fdb168311bcb524445658f1d..0f4bcbe702b1bd1edb873234763d56455b6009b4
--- a/devices/util/startup.py
+++ b/devices/util/startup.py
@@ -34,4 +34,3 @@ def startup(device: str, force_restart: bool):
else:
print("Device {} has successfully reached ON state.".format(device))
return proxy
-
diff --git a/docker-compose/jupyter/Dockerfile b/docker-compose/jupyter/Dockerfile
index 97ef7ca63daa60331ae0e8dee8f5d70fa143be44..da3f1da1c5bc09fa4a1861377d2533faca70535a 100644
--- a/docker-compose/jupyter/Dockerfile
+++ b/docker-compose/jupyter/Dockerfile
@@ -13,7 +13,7 @@ RUN sudo jupyter nbextension enable jupyter_bokeh --py --sys-prefix
# Install profiles for ipython & jupyter
COPY ipython-profiles /opt/ipython-profiles/
-RUN sudo chown tango.tango -R /opt/ipython-profiles
+RUN sudo chmod a+rw -R /opt/ipython-profiles
COPY jupyter-kernels /usr/local/share/jupyter/kernels/
# Install patched jupyter executable
@@ -27,5 +27,6 @@ ADD https://github.com/krallin/tini/releases/download/${TINI_VERSION}/tini /usr/
RUN sudo chmod +x /usr/bin/tini
# Make sure Jupyter can write to the home directory
-ENV HOME=/home/tango
-RUN chmod a+rwx /home/tango
+ENV HOME=/home/user
+RUN sudo mkdir -p $HOME
+RUN sudo chmod a+rwx $HOME
diff --git a/jupyter-notebooks/ini_device.ipynb b/jupyter-notebooks/ini_device.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..ba365f263ca35e627b0430f26a02d53af059333a
--- /dev/null
+++ b/jupyter-notebooks/ini_device.ipynb
@@ -0,0 +1,238 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 128,
+ "id": "waiting-chance",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import time\n",
+ "import numpy"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 146,
+ "id": "moving-alexandria",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "d=DeviceProxy(\"LTS/ini_device/1\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 198,
+ "id": "ranking-aluminum",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Device is now in on state\n"
+ ]
+ }
+ ],
+ "source": [
+ "state = str(d.state())\n",
+ "\n",
+ "if state == \"OFF\":\n",
+ " d.initialise()\n",
+ " time.sleep(1)\n",
+ "state = str(d.state())\n",
+ "if state == \"STANDBY\":\n",
+ " d.on()\n",
+ "state = str(d.state())\n",
+ "if state == \"ON\":\n",
+ " print(\"Device is now in on state\")\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 199,
+ "id": "beneficial-evidence",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "double_scalar_RW [0.]\n",
+ "double_scalar_R [1.2]\n",
+ "bool_scalar_RW [False]\n",
+ "bool_scalar_R [ True]\n",
+ "int_scalar_RW [0]\n",
+ "int_scalar_R [5]\n",
+ "str_scalar_RW ('',)\n",
+ "str_scalar_R ('this is',)\n",
+ "double_spectrum_RW [0. 0. 0. 0.]\n",
+ "double_spectrum_R [1.2 2.3 3.4 4.5]\n",
+ "bool_spectrum_RW [False False False False]\n",
+ "bool_spectrum_R [ True True False False]\n",
+ "int_spectrum_RW [0 0 0 0]\n",
+ "int_spectrum_R [1 2 3 4]\n",
+ "str_spectrum_RW ('', '', '', '')\n",
+ "str_spectrum_R ('\"a\"', ' \"b\"', ' \"c\"', ' \"d\"')\n",
+ "double_image_RW [[0. 0. 0.]\n",
+ " [0. 0. 0.]]\n",
+ "double_image_R [[1.2 2.3 3.4]\n",
+ " [4.5 5.6 6.7]]\n",
+ "bool_image_RW [[False False False]\n",
+ " [False False False]]\n",
+ "bool_image_R [[ True True False]\n",
+ " [False True False]]\n",
+ "int_image_RW [[0 0 0]\n",
+ " [0 0 0]]\n",
+ "int_image_R [[1 2 3]\n",
+ " [4 5 6]]\n",
+ "str_image_RW (('', '', ''), ('', '', ''))\n",
+ "str_image_R (('\"a\"', ' \"b\"', ' \"c\"'), (' \"d\"', ' \"e\"', ' \"f\"'))\n",
+ "State <function __get_command_func.<locals>.f at 0x7f3efee95c80>\n",
+ "Status <function __get_command_func.<locals>.f at 0x7f3efee95c80>\n"
+ ]
+ }
+ ],
+ "source": [
+ "attr_names = d.get_attribute_list()\n",
+ "\n",
+ "for i in attr_names:\n",
+ " try:\n",
+ " exec(\"print(i, d.{})\".format(i))\n",
+ " except:\n",
+ " pass\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 93,
+ "id": "sharing-mechanics",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([0])"
+ ]
+ },
+ "execution_count": 93,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "d.int_scalar_RW"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 203,
+ "id": "2f03759a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "d.str_image_RW = [[\"1\", \"2\", \"3\"],[\"4\", \"5\", \"6\"]]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 204,
+ "id": "3187f3bb",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(('1', '2', '3'), ('4', '5', '6'))"
+ ]
+ },
+ "execution_count": 204,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "d.str_image_RW"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 192,
+ "id": "eb406dce",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "\"['a', 'b', 'c', 'd', 'e', 'f']\""
+ ]
+ },
+ "execution_count": 192,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "numpy.str_([\"a\", \"b\", \"c\", \"d\", \"e\", \"f\"])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 197,
+ "id": "7b270085",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "6"
+ ]
+ },
+ "execution_count": 197,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "array = []\n",
+ "string = '\"a\", \"b\", \"c\", \"d\", \"e\", \"f\"'\n",
+ "\n",
+ "for i in string.split(\",\"):\n",
+ " value = numpy.str_(i)\n",
+ " array.append(value)\n",
+ "\n",
+ "len(array)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "69ecc437",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "StationControl",
+ "language": "python",
+ "name": "stationcontrol"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.7.3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}