Source code for node_environment

# This file is part of Sympathy for Data.
# Copyright (c) 2022 Combine Control Systems AB
#
# SYMPATHY FOR DATA COMMERCIAL LICENSE
# You should have received a link to the License with Sympathy for Data.
import numpy as np
from sympathy.api import node
from sympathy.api.nodeconfig import Tag, Tags, Port, Ports




class GetEnvironment(node.Node):
    """
    Get selected variables as a table with two columns, `Name` and `Value`.

    Available variables include global variables, workflow variables and
    environment variables from the operating system.

    This node can be used to add some external control to the workflow.
    Each name will only occur once in the output and a separate transpose
    node can be used to get a table with multiple columns instead of rows.
    """
    name = 'Get Environment to Table'
    nodeid = 'org.sysess.sympathy.environment.get'
    author = 'Erik der Hagopian'
    icon = 'environment_table.svg'
    tags = Tags(Tag.Input.Environment)
    outputs = Ports([Port.Table('Variables', name='variables')])
    related = ['org.sysess.sympathy.data.table.transposetablenew']

    parameters = node.parameters()
    parameters.set_list(
        'variables', label='Select variables', description='Select variables.',
        editor=node.editors.multilist_editor(edit=True))

    def adjust_parameters(self, node_context):
        node_context.parameters['variables'].adjust(
            list(node_context.variables))

    def execute(self, node_context):
        variables = dict(node_context.variables)
        output = node_context.output['variables']
        selected = node_context.parameters['variables'].selected_names(
            list(variables))
        names = []
        values = []

        for name in selected:
            names.append(name)
            values.append(variables[name])

        output['Name'] = np.array(names)
        output['Value'] = np.array(values)