controls/DebugVariablePanel/DebugVariableItem.py
author Andrey Skvortsov <andrej.skvortzov@gmail.com>
Tue, 22 Aug 2017 14:15:49 +0000
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child 1832 0f1081928d65
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Initial Bitbucket Pipelines configuration
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# This file is part of Beremiz, a Integrated Development Environment for
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# programming IEC 61131-3 automates supporting plcopen standard and CanFestival.
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#
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# Copyright (C) 2012: Edouard TISSERANT and Laurent BESSARD
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#
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# See COPYING file for copyrights details.
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#
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# This program is free software; you can redistribute it and/or
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# modify it under the terms of the GNU General Public License
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# as published by the Free Software Foundation; either version 2
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# of the License, or (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301, USA.
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import numpy
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import binascii
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from graphics.DebugDataConsumer import DebugDataConsumer, TYPE_TRANSLATOR
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# -------------------------------------------------------------------------------
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#                 Constant for calculate CRC for string variables
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# -------------------------------------------------------------------------------
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STRING_CRC_SIZE = 8
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STRING_CRC_MASK = 2 ** STRING_CRC_SIZE - 1
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# -------------------------------------------------------------------------------
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#                          Debug Variable Item Class
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# -------------------------------------------------------------------------------
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class DebugVariableItem(DebugDataConsumer):
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    """
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    Class that implements an element that consumes debug values for PLC variable and
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    stores received values for displaying them in graphic panel or table
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    """
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    def __init__(self, parent, variable, store_data=False):
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        """
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        Constructor
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        @param parent: Reference to debug variable panel
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        @param variable: Path of variable to debug
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        """
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        DebugDataConsumer.__init__(self)
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        self.Parent = parent
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        self.Variable = variable
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        self.StoreData = store_data
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        # Get Variable data type
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        self.RefreshVariableType()
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    def __del__(self):
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        """
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        Destructor
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        """
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        # Reset reference to debug variable panel
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        self.Parent = None
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    def SetVariable(self, variable):
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        """
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        Set path of variable
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        @param variable: Path of variable to debug
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        """
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        if self.Parent is not None and self.Variable != variable:
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            # Store variable path
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            self.Variable = variable
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            # Get Variable data type
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            self.RefreshVariableType()
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            # Refresh debug variable panel
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            self.Parent.RefreshView()
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    def GetVariable(self, mask=None):
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        """
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        Return path of variable
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        @param mask: Mask to apply to variable path [var_name, '*',...]
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        @return: String containing masked variable path
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        """
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        # Apply mask to variable name
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        if mask is not None:
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            # '#' correspond to parts that are different between all items
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            # Extract variable path parts
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            parts = self.Variable.split('.')
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            # Adjust mask size to size of variable path
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            mask = mask + ['*'] * max(0, len(parts) - len(mask))
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            # Store previous mask
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            last = None
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            # Init masked variable path
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            variable = ""
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            for m, p in zip(mask, parts):
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                # Part is not masked, add part prefixed with '.' is previous
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                # wasn't masked
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                if m == '*':
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                    variable += ('.' if last == '*' else '') + p
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                # Part is mask, add '..' if first or previous wasn't masked
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                elif last is None or last == '*':
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                    variable += '..'
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                last = m
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            return variable
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        return self.Variable
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    def RefreshVariableType(self):
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        """
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        Get and store variable data type
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        """
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        self.VariableType = self.Parent.GetDataType(self.Variable)
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        # Reset data stored
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        self.ResetData()
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    def GetVariableType(self):
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        """
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        Return variable data type
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        @return: Variable data type
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        """
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        return self.VariableType
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    def GetData(self, start_tick=None, end_tick=None):
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        """
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        Return data stored contained in given range
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        @param start_tick: Start tick of given range (default None, first data)
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        @param end_tick: end tick of given range (default None, last data)
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        @return: Data as numpy.array([(tick, value, forced),...])
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        """
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        # Return immediately if data empty or none
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        if self.Data is None or len(self.Data) == 0:
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            return self.Data
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        # Find nearest data outside given range indexes
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        start_idx = (self.GetNearestData(start_tick, -1)
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                     if start_tick is not None
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                     else 0)
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        end_idx = (self.GetNearestData(end_tick, 1)
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                   if end_tick is not None
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                   else len(self.Data))
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        # Return data between indexes
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        return self.Data[start_idx:end_idx]
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    def GetRawValue(self, index):
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        """
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        Return raw value at given index for string variables
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        @param index: Variable value index
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        @return: Variable data type
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        """
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        if self.VariableType in ["STRING", "WSTRING"] and index < len(self.RawData):
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            return self.RawData[index][0]
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        return ""
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    def GetValueRange(self):
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        """
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        Return variable value range
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        @return: (minimum_value, maximum_value)
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        """
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        return self.MinValue, self.MaxValue
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    def GetDataAndValueRange(self, start_tick, end_tick, full_range=True):
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        """
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        Return variable data and value range for a given tick range
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        @param start_tick: Start tick of given range (default None, first data)
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        @param end_tick: end tick of given range (default None, last data)
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        @param full_range: Value range is calculated on whole data (False: only
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        calculated on data in given range)
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        @return: (numpy.array([(tick, value, forced),...]),
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                  min_value, max_value)
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        """
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        # Get data in given tick range
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        data = self.GetData(start_tick, end_tick)
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        # Value range is calculated on whole data
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        if full_range:
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            return data, self.MinValue, self.MaxValue
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        # Check that data in given range is not empty
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        values = data[:, 1]
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        if len(values) > 0:
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            # Return value range for data in given tick range
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            return (data,
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                    data[numpy.argmin(values), 1],
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                    data[numpy.argmax(values), 1])
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        # Return default values
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        return data, None, None
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    def ResetData(self):
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        """
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        Reset data stored when store data option enabled
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        """
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        if self.StoreData and self.IsNumVariable():
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            # Init table storing data
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            self.Data = numpy.array([]).reshape(0, 3)
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            # Init table storing raw data if variable is strin
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            self.RawData = ([]
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                            if self.VariableType in ["STRING", "WSTRING"]
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                            else None)
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            # Init Value range variables
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            self.MinValue = None
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            self.MaxValue = None
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        else:
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            self.Data = None
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        # Init variable value
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        self.Value = ""
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    def IsNumVariable(self):
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        """
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        Return if variable data type is numeric. String variables are
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        considered as numeric (string CRC)
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        @return: True if data type is numeric
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        """
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        return (self.Parent.IsNumType(self.VariableType) or
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                self.VariableType in ["STRING", "WSTRING"])
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    def NewValues(self, ticks, values):
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        """
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        Function called by debug thread when a new debug value is available
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        @param tick: PLC tick when value was captured
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        @param value: Value captured
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        @param forced: Forced flag, True if value is forced (default: False)
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        """
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        DebugDataConsumer.NewValues(self, ticks[-1], values[-1], raw=None)
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        if self.Data is not None:
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            if self.VariableType in ["STRING", "WSTRING"]:
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                last_raw_data = (self.RawData[-1]
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                                 if len(self.RawData) > 0 else None)
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                last_raw_data_idx = len(self.RawData) - 1
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            data_values = []
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            for tick, (value, forced) in zip(ticks, values):
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                # Translate forced flag to float for storing in Data table
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                forced_value = float(forced)
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                # String data value is CRC
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                num_value = (binascii.crc32(value) & STRING_CRC_MASK
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                             if self.VariableType in ["STRING", "WSTRING"]
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                             else float(value))
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                # Update variable range values
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                self.MinValue = (min(self.MinValue, num_value)
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                                 if self.MinValue is not None
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                                 else num_value)
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                self.MaxValue = (max(self.MaxValue, num_value)
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                                 if self.MaxValue is not None
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                                 else num_value)
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                # In the case of string variables, we store raw string value and
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                # forced flag in raw data table. Only changes in this two values
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                # are stored. Index to the corresponding raw value is stored in
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                # data third column
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                if self.VariableType in ["STRING", "WSTRING"]:
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                    raw_data = (value, forced_value)
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                    if len(self.RawData) == 0 or last_raw_data != raw_data:
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                        last_raw_data_idx += 1
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                        last_raw_data = raw_data
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                        self.RawData.append(raw_data)
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                    extra_value = last_raw_data_idx
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                # In other case, data third column is forced flag
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                else:
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                    extra_value = forced_value
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                data_values.append(
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                    [float(tick), num_value, extra_value])
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            # Add New data to stored data table
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            self.Data = numpy.append(self.Data, data_values, axis=0)
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            # Signal to debug variable panel to refresh
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            self.Parent.HasNewData = True
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    def SetForced(self, forced):
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        """
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        Update Forced flag
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        @param forced: New forced flag
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        """
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        # Store forced flag
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        if self.Forced != forced:
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            self.Forced = forced
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            # Signal to debug variable panel to refresh
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            self.Parent.HasNewData = True
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    def SetValue(self, value):
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        """
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        Update value.
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        @param value: New value
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        """
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        # Remove quote and double quote surrounding string value to get raw value
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        if self.VariableType == "STRING" and value.startswith("'") and value.endswith("'") or \
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           self.VariableType == "WSTRING" and value.startswith('"') and value.endswith('"'):
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            value = value[1:-1]
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        # Store variable value
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        if self.Value != value:
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            self.Value = value
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            # Signal to debug variable panel to refresh
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            self.Parent.HasNewData = True
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    def GetValue(self, tick=None, raw=False):
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        """
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        Return current value or value and forced flag for tick given
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        @return: Current value or value and forced flag
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        """
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        # If tick given and stored data option enabled
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        if tick is not None and self.Data is not None:
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            # Return current value and forced flag if data empty
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            if len(self.Data) == 0:
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                return self.Value, self.IsForced()
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            # Get index of nearest data from tick given
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            idx = self.GetNearestData(tick, 0)
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            # Get value and forced flag at given index
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            value, forced = \
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                self.RawData[int(self.Data[idx, 2])] \
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                if self.VariableType in ["STRING", "WSTRING"] \
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                else self.Data[idx, 1:3]
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            # Get raw value if asked
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            if not raw:
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                value = TYPE_TRANSLATOR.get(
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                        self.VariableType, str)(value)
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            return value, forced
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        # Return raw value if asked
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        if not raw and self.VariableType in ["STRING", "WSTRING"]:
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            return TYPE_TRANSLATOR.get(
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                    self.VariableType, str)(self.Value)
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        return self.Value
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    def GetNearestData(self, tick, adjust):
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        """
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        Return index of nearest data from tick given
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        @param tick: Tick where find nearest data
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        @param adjust: Constraint for data position from tick
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                       -1: older than tick
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                       1:  newer than tick
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                       0:  doesn't matter
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        @return: Index of nearest data
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        """
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        # Return immediately if data is empty
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        if self.Data is None:
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            return None
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        # Extract data ticks
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        ticks = self.Data[:, 0]
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        # Get nearest data from tick
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        idx = numpy.argmin(abs(ticks - tick))
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        # Adjust data index according to constraint
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        if adjust < 0 and ticks[idx] > tick and idx > 0 or \
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           adjust > 0 and ticks[idx] < tick and idx < len(ticks):
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            idx += adjust
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        return idx