diff -r 4e8b98454baa -r 800c432b34c8 eric7/MicroPython/MicroPythonGraphWidget.py
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/eric7/MicroPython/MicroPythonGraphWidget.py Sat May 15 18:45:04 2021 +0200
@@ -0,0 +1,363 @@
+# -*- coding: utf-8 -*-
+
+# Copyright (c) 2019 - 2021 Detlev Offenbach <detlev@die-offenbachs.de>
+#
+
+"""
+Module implementing the MicroPython graph widget.
+"""
+
+from collections import deque
+import bisect
+import os
+import time
+import csv
+import contextlib
+
+from PyQt5.QtCore import pyqtSignal, pyqtSlot, Qt
+from PyQt5.QtGui import QPainter
+from PyQt5.QtWidgets import (
+ QWidget, QHBoxLayout, QVBoxLayout, QToolButton, QSizePolicy, QSpacerItem,
+ QLabel, QSpinBox
+)
+from PyQt5.QtChart import QChartView, QChart, QLineSeries, QValueAxis
+
+from E5Gui import E5MessageBox
+from E5Gui.E5Application import e5App
+
+import UI.PixmapCache
+import Preferences
+
+
+class MicroPythonGraphWidget(QWidget):
+ """
+ Class implementing the MicroPython graph widget.
+
+ @signal dataFlood emitted to indicate, that too much data is received
+ """
+ dataFlood = pyqtSignal()
+
+ def __init__(self, parent=None):
+ """
+ Constructor
+
+ @param parent reference to the parent widget
+ @type QWidget
+ """
+ super().__init__(parent)
+
+ self.__layout = QHBoxLayout()
+ self.__layout.setContentsMargins(2, 2, 2, 2)
+ self.setLayout(self.__layout)
+
+ self.__chartView = QChartView(self)
+ self.__chartView.setSizePolicy(
+ QSizePolicy.Policy.Expanding, QSizePolicy.Policy.Expanding)
+ self.__layout.addWidget(self.__chartView)
+
+ self.__verticalLayout = QVBoxLayout()
+ self.__verticalLayout.setContentsMargins(0, 0, 0, 0)
+ self.__layout.addLayout(self.__verticalLayout)
+
+ self.__saveButton = QToolButton(self)
+ self.__saveButton.setIcon(UI.PixmapCache.getIcon("fileSave"))
+ self.__saveButton.setToolTip(self.tr("Press to save the raw data"))
+ self.__saveButton.clicked.connect(self.on_saveButton_clicked)
+ self.__verticalLayout.addWidget(self.__saveButton)
+ self.__verticalLayout.setAlignment(self.__saveButton,
+ Qt.AlignmentFlag.AlignHCenter)
+
+ spacerItem = QSpacerItem(20, 20, QSizePolicy.Policy.Minimum,
+ QSizePolicy.Policy.Expanding)
+ self.__verticalLayout.addItem(spacerItem)
+
+ label = QLabel(self.tr("max. X:"))
+ self.__verticalLayout.addWidget(label)
+ self.__verticalLayout.setAlignment(label,
+ Qt.AlignmentFlag.AlignHCenter)
+
+ self.__maxX = 100
+ self.__maxXSpinBox = QSpinBox()
+ self.__maxXSpinBox.setMinimum(100)
+ self.__maxXSpinBox.setMaximum(1000)
+ self.__maxXSpinBox.setSingleStep(100)
+ self.__maxXSpinBox.setToolTip(self.tr(
+ "Enter the maximum number of data points to be plotted."))
+ self.__maxXSpinBox.setValue(self.__maxX)
+ self.__maxXSpinBox.setAlignment(Qt.AlignmentFlag.AlignRight)
+ self.__verticalLayout.addWidget(self.__maxXSpinBox)
+
+ # holds the data to be checked for plotable data
+ self.__inputBuffer = []
+ # holds the raw data
+ self.__rawData = []
+ self.__dirty = False
+
+ self.__maxY = 1000
+ self.__flooded = False # flag indicating a data flood
+
+ self.__data = [deque([0] * self.__maxX)]
+ self.__series = [QLineSeries()]
+
+ # Y-axis ranges
+ self.__yRanges = [1, 5, 10, 25, 50, 100, 250, 500, 1000]
+
+ # setup the chart
+ self.__chart = QChart()
+ self.__chart.legend().hide()
+ self.__chart.addSeries(self.__series[0])
+ self.__axisX = QValueAxis()
+ self.__axisX.setRange(0, self.__maxX)
+ self.__axisX.setLabelFormat("time")
+ self.__axisY = QValueAxis()
+ self.__axisY.setRange(-self.__maxY, self.__maxY)
+ self.__axisY.setLabelFormat("%d")
+ self.__chart.setAxisX(self.__axisX, self.__series[0])
+ self.__chart.setAxisY(self.__axisY, self.__series[0])
+ self.__chartView.setChart(self.__chart)
+ self.__chartView.setRenderHint(QPainter.RenderHint.Antialiasing)
+ self.preferencesChanged()
+
+ self.__maxXSpinBox.valueChanged.connect(self.__handleMaxXChanged)
+
+ @pyqtSlot()
+ def preferencesChanged(self):
+ """
+ Public slot to apply changed preferences.
+ """
+ chartColorTheme = Preferences.getMicroPython("ChartColorTheme")
+ if chartColorTheme == -1:
+ # automatic selection of light or dark depending on desktop
+ # color scheme
+ if e5App().usesDarkPalette():
+ self.__chart.setTheme(QChart.ChartTheme.ChartThemeDark)
+ else:
+ self.__chart.setTheme(QChart.ChartTheme.ChartThemeLight)
+ else:
+ self.__chart.setTheme(chartColorTheme)
+
+ @pyqtSlot(bytes)
+ def processData(self, data):
+ """
+ Public slot to process the raw data.
+
+ It takes raw bytes, checks the data for a valid tuple of ints or
+ floats and adds the data to the graph. If the the length of the bytes
+ data is greater than 1024 then a dataFlood signal is emitted to ensure
+ eric can take action to remain responsive.
+
+ @param data raw data received from the connected device via the main
+ device widget
+ @type bytes
+ """
+ # flooding guard
+ if self.__flooded:
+ return
+
+ if len(data) > 1024:
+ self.__flooded = True
+ self.dataFlood.emit()
+ return
+
+ # disable the inputs while processing data
+ self.__saveButton.setEnabled(False)
+ self.__maxXSpinBox.setEnabled(False)
+
+ data = data.replace(b"\r\n", b"\n").replace(b"\r", b"\n")
+ self.__inputBuffer.append(data)
+
+ # check if the data contains a Python tuple containing numbers (int
+ # or float) on a single line
+ inputBytes = b"".join(self.__inputBuffer)
+ lines = inputBytes.splitlines(True)
+ for line in lines:
+ if not line.endswith(b"\n"):
+ # incomplete line (last line); skip it
+ break
+
+ line = line.strip()
+ if line.startswith(b"(") and line.endswith(b")"):
+ # it may be a tuple we are interested in
+ rawValues = [val.strip() for val in line[1:-1].split(b",")]
+ values = []
+ for raw in rawValues:
+ with contextlib.suppress(ValueError):
+ values.append(int(raw))
+ # ok, it is an integer
+ continue
+ try:
+ values.append(float(raw))
+ except ValueError:
+ # it is not an int or float, ignore it
+ continue
+ if values:
+ self.__addData(tuple(values))
+
+ self.__inputBuffer = []
+ if lines[-1] and not lines[-1].endswith(b"\n"):
+ # Append any left over bytes for processing next time data is
+ # received.
+ self.__inputBuffer.append(lines[-1])
+
+ # re-enable the inputs
+ self.__saveButton.setEnabled(True)
+ self.__maxXSpinBox.setEnabled(True)
+
+ def __addData(self, values):
+ """
+ Private method to add a tuple of values to the graph.
+
+ It ensures there are the required number of line series, adds the data
+ to the line series and updates the range of the chart so the chart
+ displays nicely.
+
+ @param values tuple containing the data to be added
+ @type tuple of int or float
+ """
+ # store incoming data to be able to dump it as CSV upon request
+ self.__rawData.append(values)
+ self.__dirty = True
+
+ # check number of incoming values and adjust line series accordingly
+ if len(values) != len(self.__series):
+ valuesLen = len(values)
+ seriesLen = len(self.__series)
+ if valuesLen > seriesLen:
+ # add a nwe line series
+ for _index in range(valuesLen - seriesLen):
+ newSeries = QLineSeries()
+ self.__chart.addSeries(newSeries)
+ self.__chart.setAxisX(self.__axisX, newSeries)
+ self.__chart.setAxisY(self.__axisY, newSeries)
+ self.__series.append(newSeries)
+ self.__data.append(deque([0] * self.__maxX))
+ else:
+ # remove obsolete line series
+ for oldSeries in self.__series[valuesLen:]:
+ self.__chart.removeSeries(oldSeries)
+ self.__series = self.__series[:valuesLen]
+ self.__data = self.__data[:valuesLen]
+
+ # add the new values to the display and compute the maximum range
+ maxRanges = []
+ for index, value in enumerate(values):
+ self.__data[index].appendleft(value)
+ maxRanges.append(max([max(self.__data[index]),
+ abs(min(self.__data[index]))]))
+ if len(self.__data[index]) > self.__maxX:
+ self.__data[index].pop()
+
+ # re-scale the y-axis
+ maxYRange = max(maxRanges)
+ yRange = bisect.bisect_left(self.__yRanges, maxYRange)
+ if yRange < len(self.__yRanges):
+ self.__maxY = self.__yRanges[yRange]
+ elif maxYRange > self.__maxY:
+ self.__maxY += self.__maxY
+ elif maxYRange < self.__maxY / 2:
+ self.__maxY /= 2
+ self.__axisY.setRange(-self.__maxY, self.__maxY)
+
+ # ensure that floats are used to label the y-axis if the range is small
+ if self.__maxY <= 5:
+ self.__axisY.setLabelFormat("%2.2f")
+ else:
+ self.__axisY.setLabelFormat("%d")
+
+ # update the line series
+ for index, series in enumerate(self.__series):
+ series.clear()
+ xyValues = []
+ for x in range(self.__maxX):
+ value = self.__data[index][self.__maxX - 1 - x]
+ xyValues.append((x, value))
+ for xy in xyValues:
+ series.append(*xy)
+
+ @pyqtSlot()
+ def on_saveButton_clicked(self):
+ """
+ Private slot to save the raw data to a CSV file.
+ """
+ self.saveData()
+
+ def hasData(self):
+ """
+ Public method to check, if the chart contains some valid data.
+
+ @return flag indicating valid data
+ @rtype bool
+ """
+ return len(self.__rawData) > 0
+
+ def isDirty(self):
+ """
+ Public method to check, if the chart contains unsaved data.
+
+ @return flag indicating unsaved data
+ @rtype bool
+ """
+ return self.hasData() and self.__dirty
+
+ def saveData(self):
+ """
+ Public method to save the dialog's raw data.
+
+ @return flag indicating success
+ @rtype bool
+ """
+ baseDir = (
+ Preferences.getMicroPython("MpyWorkspace") or
+ Preferences.getMultiProject("Workspace") or
+ os.path.expanduser("~")
+ )
+ dataDir = os.path.join(baseDir, "data_capture")
+
+ if not os.path.exists(dataDir):
+ os.makedirs(dataDir)
+
+ # save the raw data as a CSV file
+ fileName = "{0}.csv".format(time.strftime("%Y%m%d-%H%M%S"))
+ fullPath = os.path.join(dataDir, fileName)
+ try:
+ with open(fullPath, "w") as csvFile:
+ csvWriter = csv.writer(csvFile)
+ csvWriter.writerows(self.__rawData)
+
+ self.__dirty = False
+ return True
+ except OSError as err:
+ E5MessageBox.critical(
+ self,
+ self.tr("Save Chart Data"),
+ self.tr(
+ """<p>The chart data could not be saved into file"""
+ """ <b>{0}</b>.</p><p>Reason: {1}</p>""").format(
+ fullPath, str(err)))
+ return False
+
+ @pyqtSlot(int)
+ def __handleMaxXChanged(self, value):
+ """
+ Private slot handling a change of the max. X spin box.
+
+ @param value value of the spin box
+ @type int
+ """
+ delta = value - self.__maxX
+ if delta == 0:
+ # nothing to change
+ return
+ elif delta > 0:
+ # range must be increased
+ for deq in self.__data:
+ deq.extend([0] * delta)
+ else:
+ # range must be decreased
+ data = []
+ for deq in self.__data:
+ data.append(deque(list(deq)[:value]))
+ self.__data = data
+
+ self.__maxX = value
+ self.__axisX.setRange(0, self.__maxX)
