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DOCKER_REGISTRY_HOST=nexus.engageska-portugal.pt
DOCKER_REGISTRY_USER=ska-docker

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"""
Automated test for https://github.com/taurus-org/taurus/issues/1118

It requires docker-compose to be installed.

- If the bug is not present, it finishes in after counting to 30 and 
printing "SUCCESS!"
- If the bug is present, crashes (non-zero exit value) at some point of the 
count (~15)

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from taurus.qt.qtgui.application import TaurusApplication
from taurus.qt.qtgui.display import TaurusLabel

if __name__ == "__main__":
    import sys
    app = TaurusApplication(cmd_line_parser=None)

    w = TaurusLabel()

    w.setModel("eval:m1={sys/tg_test/1/};m2={asdasdasd};m1+m2")

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import sys
import taurus
from taurus.external.qt import Qt
from taurus.qt.qtgui.application import TaurusApplication
from taurus.qt.qtgui.base import TaurusBaseComponent


class MyLabel(Qt.QLabel, TaurusBaseComponent):
    """A taurus-ified QLabel that sums 2 attributes"""

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# Inspired in https://tango-controls.readthedocs.io/en/latest/tutorials-and-howtos/how-tos/how-to-pytango.html#using-database-object

import tango

class_name = 'TangoTest'
db = tango.Database()

devnames = []
for name in db.get_instance_name_list(class_name):
    server_name = '/'.join((class_name, name))

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import os
import sys
from PyQt5 import Qt, uic


class MyCalc(Qt.QWidget):
    """A specialized QLineEdit (implemented using signal connections declared
    in the loaded .ui file)
    """

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#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""Basic DS for testing events"""

import numpy
from tango import DevState
from tango.server import Device, attribute

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# this is an example to answer the question in 
# https://www.tango-controls.org/community/forum/c/development/python/quickest-way-to-write-a-command-line-taurus-client/

import taurus
import time


def print_attr_value(src, _type, value):
    print("[{t:}] {name:}={rvalue:}".format(
        t=value.time.isoformat(),

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Scenario:

we want to create a conda environment using packages from arbitrary channels in a machine with no internet access (let's say that we want a machine with keras, sklearn and all taurus dependencies installed)

first create the environment on a connected machine

It is better to use a clean conda installation, so we will use a miniconda docker container

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# Powershell script for installing taurus dependencies on a windows10 machine using conda
# I use it for provisioning a vagrant win10 machine

# Install SSL as a workaround for conda bug https://github.com/conda/conda/issues/6064
echo "Installing SSL"
wget "https://slproweb.com/download/Win64OpenSSL-1_1_1a.msi" -OutFile "$env:TMP\SSL.msi"
msiexec /quiet /i "$env:TMP\SSL.msi"
echo "Downloading conda"
$condainstallerurl = "https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe"
$condainstaller = "$env:TMP\\Miniconda3-latest-Windows-x86_64.exe"