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@ -1,161 +1,701 @@
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from PyQt5 import QtCore, QtGui, QtWidgets
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from PyQt5.QtCore import QSize, Qt
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from PyQt5.Qt import *
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from PyQt5.QtCore import QSize, Qt, QTimer, QEvent
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from PyQt5.QtGui import QPixmap, QIcon
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from PyQt5.QtWidgets import QHBoxLayout, QAbstractItemView, QTableView, QVBoxLayout, QSplitter, \
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QApplication, QGroupBox, QLabel, QGridLayout, QLineEdit, QComboBox, QTextEdit, QCheckBox,QVBoxLayout,QListView, QMainWindow
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from PyQt5.QtWidgets import QListWidget, QStackedWidget, QFrame
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from PyQt5.QtWidgets import QListWidgetItem, QSizePolicy
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from PyQt5.QtWidgets import QWidget, QSpacerItem, QHeaderView
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from PyQt5.QtWebEngineWidgets import QWebEngineView
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from PyQt5.QtWebEngineWidgets import QWebEnginePage
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from utils.DBModels.ProtocolModel import InfluxMem
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from PyQt5.QtWidgets import (QApplication, QGridLayout, QListWidget, QListWidgetItem,
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QToolBar, QAction, QLabel, QWidget, QVBoxLayout, QHBoxLayout,
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QSplitter, QGroupBox, QLineEdit, QComboBox, QTextEdit,
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QCheckBox, QFrame, QSpacerItem, QSizePolicy, QHeaderView, QToolButton)
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from PyQt5.QtWebEngineWidgets import QWebEngineView, QWebEnginePage
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from utils import Globals
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from model.HistoryDBModel.HistoryDBManage import HistoryDBManage
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import datetime
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import pyecharts.options as opts
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from pyecharts.charts import Line
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import matplotlib.pyplot as plt
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import matplotlib.dates as mdates
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from matplotlib.backends.backend_qtagg import FigureCanvasQTAgg as FigureCanvas
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from matplotlib.backends.backend_qt import NavigationToolbar2QT as NavigationToolbar
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from matplotlib.figure import Figure
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import numpy as np
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from Static import static
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class HistoryTrend(object):
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def __init__(self, view):
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self.line = Line(init_opts= opts.InitOpts(width = str(view.size().width() - 20) + 'px', height = str(view.size().height() - 30) + 'px'))
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self.setOpts()
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def addXAxis(self, xAxis):
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self.line.add_xaxis(xaxis_data=xAxis)
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def addYAxis(self, lineName, yAxis):
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self.line.add_yaxis(
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series_name=lineName,
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y_axis=yAxis,
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markpoint_opts=opts.MarkPointOpts(
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data=[
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opts.MarkPointItem(type_="max", name="最大值"),
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opts.MarkPointItem(type_="min", name="最小值"),
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]
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),
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markline_opts=opts.MarkLineOpts(
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data=[opts.MarkLineItem(type_="average", name="平均值")]
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),
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)
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def setOpts(self):
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self.line.set_global_opts(
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title_opts=opts.TitleOpts(title="趋势图"),
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tooltip_opts=opts.TooltipOpts(trigger="axis"),
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toolbox_opts=opts.ToolboxOpts(is_show=True),
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xaxis_opts=opts.AxisOpts(type_="category", boundary_gap=False),
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datazoom_opts=[
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opts.DataZoomOpts(xaxis_index=0, range_start=0, range_end=100),
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],
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)
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@property
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def html(self):
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return self.line.render_embed()
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import datetime
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import sys
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import pandas as pd
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import bisect
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from matplotlib.widgets import RectangleSelector
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import matplotlib.patches as patches
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from matplotlib.widgets import SpanSelector
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from matplotlib.gridspec import GridSpec
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# 配置中文字体支持
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plt.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei', 'DejaVu Sans']
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plt.rcParams['axes.unicode_minus'] = False
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class TrendWidgets(QWidget):
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def __init__(self, parent=None):
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super(TrendWidgets, self).__init__(parent)
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# self.setAttribute(Qt.WA_StyledBackground, True) # 移除无效属性
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self.gridLayout = QtWidgets.QGridLayout(self)
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self.gridLayout.setObjectName("gridLayout")
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def __init__(self):
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super().__init__()
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self.setWindowTitle("历史趋势浏览器")
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self.setMinimumSize(120, 120)
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# 设置窗口标志，禁用窗口拖拽
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self.setWindowFlags(QtCore.Qt.WindowType.Window)
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# 初始化数据
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self.historyDB = None
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self.currentVarName = None
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self.xData = []
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self.yData = []
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# 多变量支持
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self.multiVarData = {} # 存储多个变量的数据 {varName: {'x': [], 'y': []}}
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self.selectedVars = [] # 当前选中的变量列表
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self.varColors = {} # 存储变量颜色 {varName: color}
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# 初始化历史缩放记录
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self.history = []
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self.historyIndex = 0
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# 主布局
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mainLayout = QHBoxLayout(self)
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mainLayout.setSpacing(10)
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mainLayout.setContentsMargins(10, 10, 10, 10)
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# 左侧变量列表区域
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self.createVariableListPanel()
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mainLayout.addWidget(self.variableListGroup, 1) # 1份宽度
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# 右侧趋势图区域
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self.trendViewerGroup = QWidget()
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self.createTrendViewerPanel()
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mainLayout.addWidget(self.trendViewerGroup, 6) # 6份宽度
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# 连接信号
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self.connectSignals()
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Globals.setValue('HistoryWidget', self)
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def createVariableListPanel(self):
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# 创建变量列表面板
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self.variableListGroup = QGroupBox("变量列表")
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layout = QVBoxLayout(self.variableListGroup)
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# 搜索框单独一行
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searchInputLayout = QHBoxLayout()
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self.searchInput = QLineEdit()
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self.searchInput.setPlaceholderText("搜索变量...")
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self.searchInput.textChanged.connect(self.filterVarList)
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self.searchInput.setMinimumWidth(220)
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searchInputLayout.addWidget(self.searchInput)
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layout.addLayout(searchInputLayout)
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# 变量列表
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self.varListWidget = QListWidget()
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self.varListWidget.setObjectName("varListWidget")
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self.varListWidget.itemDoubleClicked.connect(self.showVarTrend)
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self.gridLayout.addWidget(self.varListWidget, 0, 0, 15, 4)
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# 趋势图WebView
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self.trendWebView = QWebEngineView()
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self.trendWebView.setObjectName("trendWebView")
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self.gridLayout.addWidget(self.trendWebView, 0, 4, 15, 22)
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self.gridLayout.setSpacing(10)
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self.gridLayout.setContentsMargins(20, 20, 20, 20)
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Globals.setValue('HistoryWidget', self)
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self.varListWidget.itemSelectionChanged.connect(self.onVarSelected)
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layout.addWidget(self.varListWidget)
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# 时间选择+便捷查询区域
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searchLayout = QHBoxLayout()
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from PyQt5.QtCore import QDateTime
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self.startTimeEdit = QtWidgets.QDateTimeEdit()
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self.startTimeEdit.setDisplayFormat("yyyy-MM-dd HH:mm:ss")
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self.startTimeEdit.setCalendarPopup(True)
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self.endTimeEdit = QtWidgets.QDateTimeEdit()
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self.endTimeEdit.setDisplayFormat("yyyy-MM-dd HH:mm:ss")
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self.endTimeEdit.setCalendarPopup(True)
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now = QDateTime.currentDateTime()
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self.startTimeEdit.setDateTime(now.addDays(-1))
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self.endTimeEdit.setDateTime(now)
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searchLayout.addWidget(self.startTimeEdit)
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searchLayout.addWidget(self.endTimeEdit)
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self.quickRangeCombo = QtWidgets.QComboBox()
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self.quickRangeCombo.addItems(["最近一天", "最近6小时", "最近1小时", "最近30分钟", "自定义"])
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self.quickRangeCombo.currentIndexChanged.connect(self.onQuickRangeChanged)
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searchLayout.addWidget(self.quickRangeCombo)
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self.queryBtn = QToolButton()
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self.queryBtn.setText("查询")
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self.queryBtn.setToolTip("按时间范围查询变量数据")
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self.queryBtn.clicked.connect(self.onTimeRangeQuery)
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searchLayout.addWidget(self.queryBtn)
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layout.addLayout(searchLayout)
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# 按钮区域
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buttonLayout = QHBoxLayout()
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# 刷新按钮
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refreshBtn = QToolButton()
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refreshBtn.setText("刷新列表")
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refreshBtn.clicked.connect(self.refreshVarList)
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buttonLayout.addWidget(refreshBtn)
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# 添加到趋势图按钮
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addToTrendBtn = QToolButton()
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addToTrendBtn.setText("添加到趋势图")
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addToTrendBtn.setToolTip("将选中的变量添加到趋势图")
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addToTrendBtn.clicked.connect(self.addSelectedVarsToTrend)
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buttonLayout.addWidget(addToTrendBtn)
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# 清除所有变量按钮
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clearAllBtn = QToolButton()
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clearAllBtn.setText("清除所有")
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clearAllBtn.setToolTip("清除趋势图中的所有变量")
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clearAllBtn.clicked.connect(self.clearAllVars)
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buttonLayout.addWidget(clearAllBtn)
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layout.addLayout(buttonLayout)
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self.variableListGroup.setLayout(layout)
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# 记录当前时间范围
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self._query_time_range = (self.startTimeEdit.dateTime().toPyDateTime(), self.endTimeEdit.dateTime().toPyDateTime())
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def createTrendViewerPanel(self):
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# 创建趋势图查看器面板
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layout = QVBoxLayout(self.trendViewerGroup)
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layout.setContentsMargins(0, 0, 0, 0)
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layout.setSpacing(5)
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# 创建包含图表的组框
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chartGroup = QGroupBox()
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chartLayout = QVBoxLayout(chartGroup)
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chartLayout.setContentsMargins(5, 5, 5, 5)
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# 创建matplotlib图表，设置主图和缩略图比例为6:1
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self.figure = Figure(figsize=(12, 8), dpi=100)
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gs = GridSpec(7, 1, figure=self.figure)
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self.ax_main = self.figure.add_subplot(gs[:6, 0]) # 主图，占6份
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self.ax_overview = self.figure.add_subplot(gs[6, 0]) # 缩略图，占1份
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self.canvas = FigureCanvas(self.figure)
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chartLayout.addWidget(self.canvas, 20)
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# 底部信息栏（含状态显示）
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infoLayout = QHBoxLayout()
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infoLayout.setContentsMargins(5, 5, 5, 5)
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self.varNameLabel = QLabel("当前变量: 无")
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self.dataCountLabel = QLabel("数据点: 0")
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self.timeRangeLabel = QLabel("时间范围: 无数据")
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self.statusLabel = QLabel("就绪")
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self.statusLabel.setFont(QtGui.QFont("Arial", 9))
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self.statusLabel.setStyleSheet("color: #555; padding: 2px;")
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infoLayout.addWidget(self.varNameLabel)
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infoLayout.addStretch()
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infoLayout.addWidget(self.dataCountLabel)
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infoLayout.addStretch()
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infoLayout.addWidget(self.timeRangeLabel)
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infoLayout.addStretch()
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infoLayout.addWidget(self.statusLabel)
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chartLayout.addLayout(infoLayout, 1)
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layout.addWidget(chartGroup)
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# 悬浮信息气泡label
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self.infoBubble = QLabel(self.trendViewerGroup)
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self.infoBubble.setStyleSheet("background:rgba(255,255,220,0.95); border:1px solid #aaa; border-radius:4px; padding:4px; color:#222;")
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self.infoBubble.setFont(QtGui.QFont("Consolas", 10))
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self.infoBubble.setVisible(False)
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# 连接鼠标事件，支持拖拽平移
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self.canvas.mpl_connect('motion_notify_event', self.on_mouse_move)
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self.canvas.mpl_connect('axes_leave_event', self.on_mouse_leave)
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self.canvas.mpl_connect('scroll_event', self.on_mouse_wheel)
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self.canvas.mpl_connect('button_press_event', self.on_mouse_press)
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self.canvas.mpl_connect('button_release_event', self.on_mouse_release)
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# 拖拽状态
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self._is_panning = False
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self._pan_start_x = None
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self._pan_start_xlim = None
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# 初始化选择器
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self.selector = None
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self.is_selecting = False
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self.zoom_start = None
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# 添加SpanSelector用于区间选择
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self.span = SpanSelector(
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self.ax_overview, self.on_select, 'horizontal',
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useblit=True, interactive=True, props=dict(alpha=0.3, facecolor='orange')
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)
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# 绑定双击事件恢复全局视图
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self.canvas.mpl_connect('button_press_event', self.on_overview_double_click)
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self._selected_range = None # 记录选中区间
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# 设置下方缩略图x轴显示更多时间内容
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import matplotlib.dates as mdates
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from matplotlib.ticker import MaxNLocator
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self.ax_overview.xaxis.set_major_locator(mdates.AutoDateLocator())
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self.ax_overview.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))
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def connectSignals(self):
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# 连接所有信号
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self.ax_overview.callbacks.connect('xlim_changed', self.on_overview_xlim_changed)
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def exchangeProject(self):
|
|
|
|
|
# 项目切换时调用
|
|
|
|
|
self.historyDB = Globals.getValue('historyDBManage')
|
|
|
|
|
self.refreshVarList()
|
|
|
|
|
|
|
|
|
|
def deleteMem(self):
|
|
|
|
|
pass # 历史mem相关功能已废弃
|
|
|
|
|
|
|
|
|
|
def itemCheckstate(self):
|
|
|
|
|
pass # 历史mem相关功能已废弃
|
|
|
|
|
|
|
|
|
|
@QtCore.pyqtSlot(str)
|
|
|
|
|
def on_lineEdit_textChanged(self, text):
|
|
|
|
|
pass # 历史mem相关功能已废弃
|
|
|
|
|
|
|
|
|
|
def listContext(self, position):
|
|
|
|
|
pass # 历史mem相关功能已废弃
|
|
|
|
|
|
|
|
|
|
def delVarRecard(self):
|
|
|
|
|
pass # 历史mem相关功能已废弃
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def getMems(self):
|
|
|
|
|
pass # 历史mem相关功能已废弃
|
|
|
|
|
|
|
|
|
|
def refreshList(self, index):
|
|
|
|
|
pass # 历史mem相关功能已废弃
|
|
|
|
|
|
|
|
|
|
def createHtml(self, varNames):
|
|
|
|
|
pass # 历史mem相关功能已废弃
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def refreshVarList(self):
|
|
|
|
|
# 显示进度条
|
|
|
|
|
# 刷新变量列表
|
|
|
|
|
self.varListWidget.clear()
|
|
|
|
|
varNames = []
|
|
|
|
|
try:
|
|
|
|
|
sql = f'SELECT DISTINCT("varName") FROM "{self.historyDB.table}"'
|
|
|
|
|
df = self.historyDB.client.query(sql, mode="pandas")
|
|
|
|
|
import pandas as pd
|
|
|
|
|
if isinstance(df, pd.DataFrame) and 'varName' in df.columns:
|
|
|
|
|
varNames = df['varName'].tolist()
|
|
|
|
|
except Exception as e:
|
|
|
|
|
print(f"获取变量名失败: {e}")
|
|
|
|
|
varNames = []
|
|
|
|
|
self.statusLabel.setText("正在加载变量列表...")
|
|
|
|
|
if not self.historyDB or not hasattr(self.historyDB, 'getAllVarNames'):
|
|
|
|
|
self.statusLabel.setText("未连接历史数据库，无法获取变量列表")
|
|
|
|
|
return
|
|
|
|
|
varNames = self.historyDB.getAllVarNames()
|
|
|
|
|
# print(varNames)
|
|
|
|
|
# 对变量名称进行排序
|
|
|
|
|
varNames.sort(key=lambda x: x.lower())
|
|
|
|
|
# 添加排序后的变量到列表
|
|
|
|
|
for name in varNames:
|
|
|
|
|
item = QListWidgetItem(str(name))
|
|
|
|
|
item = QListWidgetItem(name)
|
|
|
|
|
self.varListWidget.addItem(item)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def showVarTrend(self, item):
|
|
|
|
|
varName = item.text()
|
|
|
|
|
# 查询该变量历史数据
|
|
|
|
|
data, timeList = self.historyDB.queryVarHistory(varName)
|
|
|
|
|
if not data or not timeList:
|
|
|
|
|
self.trendWebView.setHtml('<h3>无历史数据</h3>')
|
|
|
|
|
self.statusLabel.setText(f"已加载 {len(varNames)} 个变量（已排序）")
|
|
|
|
|
|
|
|
|
|
def sortVarList(self):
|
|
|
|
|
# 手动排序变量列表
|
|
|
|
|
try:
|
|
|
|
|
varNames = []
|
|
|
|
|
for i in range(self.varListWidget.count()):
|
|
|
|
|
item = self.varListWidget.item(i)
|
|
|
|
|
if item and not item.isHidden():
|
|
|
|
|
varNames.append(item.text())
|
|
|
|
|
varNames.sort(key=lambda x: x.lower())
|
|
|
|
|
self.varListWidget.clear()
|
|
|
|
|
for name in varNames:
|
|
|
|
|
item = QListWidgetItem(name)
|
|
|
|
|
self.varListWidget.addItem(item)
|
|
|
|
|
self.statusLabel.setText(f"已排序 {len(varNames)} 个变量")
|
|
|
|
|
except Exception as e:
|
|
|
|
|
self.statusLabel.setText(f"排序失败: {str(e)}")
|
|
|
|
|
|
|
|
|
|
def addSelectedVarsToTrend(self):
|
|
|
|
|
# 将选中的变量添加到趋势图
|
|
|
|
|
selectedItems = self.varListWidget.selectedItems()
|
|
|
|
|
if not selectedItems:
|
|
|
|
|
self.statusLabel.setText("请先选择要添加的变量")
|
|
|
|
|
return
|
|
|
|
|
# 构建趋势图
|
|
|
|
|
line = Line(init_opts=opts.InitOpts(width='900px', height='500px'))
|
|
|
|
|
line.add_xaxis(timeList)
|
|
|
|
|
line.add_yaxis(varName, data)
|
|
|
|
|
line.set_global_opts(
|
|
|
|
|
title_opts=opts.TitleOpts(title=f"{varName} 历史趋势"),
|
|
|
|
|
tooltip_opts=opts.TooltipOpts(trigger="axis"),
|
|
|
|
|
xaxis_opts=opts.AxisOpts(type_="category", boundary_gap=False),
|
|
|
|
|
datazoom_opts=[opts.DataZoomOpts(xaxis_index=0, range_start=0, range_end=100)],
|
|
|
|
|
|
|
|
|
|
addedCount = 0
|
|
|
|
|
for item in selectedItems:
|
|
|
|
|
varName = item.text()
|
|
|
|
|
if varName not in self.selectedVars:
|
|
|
|
|
self.selectedVars.append(varName)
|
|
|
|
|
self.loadVarData(varName)
|
|
|
|
|
addedCount += 1
|
|
|
|
|
if addedCount > 0:
|
|
|
|
|
self.updateMultiVarChart()
|
|
|
|
|
self.statusLabel.setText(f"已添加 {addedCount} 个变量到趋势图")
|
|
|
|
|
else:
|
|
|
|
|
self.statusLabel.setText("选中的变量已在趋势图中")
|
|
|
|
|
|
|
|
|
|
def onTimeRangeQuery(self):
|
|
|
|
|
# 查询按钮点击，记录时间范围
|
|
|
|
|
self._query_time_range = (
|
|
|
|
|
self.startTimeEdit.dateTime().toPyDateTime(),
|
|
|
|
|
self.endTimeEdit.dateTime().toPyDateTime()
|
|
|
|
|
)
|
|
|
|
|
html = line.render_embed()
|
|
|
|
|
page = QWebEnginePage(self.trendWebView)
|
|
|
|
|
page.setHtml('<meta charset="utf-8">\n<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=0">\n' + html)
|
|
|
|
|
self.trendWebView.setPage(page)
|
|
|
|
|
self.trendWebView.reload()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
import datetime
|
|
|
|
|
# 重新加载所有已选变量的数据
|
|
|
|
|
for varName in self.selectedVars:
|
|
|
|
|
start_time, end_time = self._query_time_range
|
|
|
|
|
if isinstance(start_time, datetime.datetime):
|
|
|
|
|
start_time = start_time.isoformat()
|
|
|
|
|
if isinstance(end_time, datetime.datetime):
|
|
|
|
|
end_time = end_time.isoformat()
|
|
|
|
|
if self.historyDB and hasattr(self.historyDB, 'queryVarHistory'):
|
|
|
|
|
data, timeList = self.historyDB.queryVarHistory(varName, start_time, end_time)
|
|
|
|
|
xData = []
|
|
|
|
|
for t in timeList:
|
|
|
|
|
dt = None
|
|
|
|
|
if isinstance(t, datetime.datetime):
|
|
|
|
|
dt = t
|
|
|
|
|
elif hasattr(t, 'to_pydatetime'):
|
|
|
|
|
dt = t.to_pydatetime()
|
|
|
|
|
elif isinstance(t, str):
|
|
|
|
|
try:
|
|
|
|
|
dt = datetime.datetime.fromisoformat(t)
|
|
|
|
|
except:
|
|
|
|
|
continue
|
|
|
|
|
if dt:
|
|
|
|
|
xData.append(dt)
|
|
|
|
|
self.multiVarData[varName] = {'x': xData, 'y': data}
|
|
|
|
|
self.updateMultiVarChart()
|
|
|
|
|
self.statusLabel.setText(f"已设置时间范围: {self._query_time_range[0].strftime('%Y-%m-%d %H:%M:%S')} ~ {self._query_time_range[1].strftime('%Y-%m-%d %H:%M:%S')}")
|
|
|
|
|
|
|
|
|
|
def loadVarData(self, varName):
|
|
|
|
|
# 加载单个变量的数据，按选定时间范围
|
|
|
|
|
try:
|
|
|
|
|
self.statusLabel.setText(f"加载 {varName} 数据...")
|
|
|
|
|
import datetime
|
|
|
|
|
if hasattr(self, '_query_time_range') and self._query_time_range:
|
|
|
|
|
start_time, end_time = self._query_time_range
|
|
|
|
|
else:
|
|
|
|
|
start_time = None
|
|
|
|
|
end_time = None
|
|
|
|
|
# 从数据库获取数据
|
|
|
|
|
if self.historyDB and hasattr(self.historyDB, 'queryVarHistory'):
|
|
|
|
|
print(start_time, end_time)
|
|
|
|
|
data, timeList = self.historyDB.queryVarHistory(varName, start_time, end_time)
|
|
|
|
|
# 直接使用数据库返回的时间，不做任何时区转换
|
|
|
|
|
xData = []
|
|
|
|
|
for t in timeList:
|
|
|
|
|
if isinstance(t, datetime.datetime):
|
|
|
|
|
xData.append(t)
|
|
|
|
|
elif isinstance(t, pd.Timestamp):
|
|
|
|
|
xData.append(t.to_pydatetime())
|
|
|
|
|
elif isinstance(t, str):
|
|
|
|
|
try:
|
|
|
|
|
# 直接按本地时间字符串解析
|
|
|
|
|
xData.append(datetime.datetime.fromisoformat(t))
|
|
|
|
|
except:
|
|
|
|
|
xData.append(datetime.datetime.now())
|
|
|
|
|
else:
|
|
|
|
|
xData.append(datetime.datetime.now())
|
|
|
|
|
# 存储数据
|
|
|
|
|
self.multiVarData[varName] = {'x': xData, 'y': data}
|
|
|
|
|
# 分配颜色
|
|
|
|
|
if varName not in self.varColors:
|
|
|
|
|
colors = ['blue', 'red', 'green', 'cyan', 'magenta', 'yellow', 'black']
|
|
|
|
|
colorIndex = len(self.varColors) % len(colors)
|
|
|
|
|
self.varColors[varName] = colors[colorIndex]
|
|
|
|
|
except Exception as e:
|
|
|
|
|
self.statusLabel.setText(f"加载 {varName} 数据失败: {str(e)}")
|
|
|
|
|
|
|
|
|
|
def updateMultiVarChart(self):
|
|
|
|
|
import matplotlib.dates as mdates
|
|
|
|
|
# 更新多变量图表
|
|
|
|
|
self.ax_main.clear()
|
|
|
|
|
self.ax_overview.clear()
|
|
|
|
|
# 设置网格
|
|
|
|
|
self.ax_main.grid(True, alpha=0.3)
|
|
|
|
|
self.ax_overview.grid(True, alpha=0.3)
|
|
|
|
|
# 复用数据处理逻辑，提升性能
|
|
|
|
|
for varName in self.selectedVars:
|
|
|
|
|
if varName in self.multiVarData:
|
|
|
|
|
data = self.multiVarData[varName]
|
|
|
|
|
if data['x'] and data['y']:
|
|
|
|
|
# 处理断线数据（复用逻辑）
|
|
|
|
|
x_processed, y_processed = self._process_break_line_data(data['x'], data['y'])
|
|
|
|
|
|
|
|
|
|
# 缩略图：显示全量数据
|
|
|
|
|
self.ax_overview.plot(x_processed, y_processed, color=self.varColors[varName], linewidth=1, alpha=0.7)
|
|
|
|
|
|
|
|
|
|
# 主图：根据选中区间显示数据
|
|
|
|
|
if self._selected_range is not None:
|
|
|
|
|
xlim = self._selected_range
|
|
|
|
|
# 筛选区间数据
|
|
|
|
|
x_num = [mdates.date2num(xx) for xx in x_processed if xx is not None]
|
|
|
|
|
x_filtered, y_filtered = [], []
|
|
|
|
|
for xx, yy in zip(x_processed, y_processed):
|
|
|
|
|
if xx is not None:
|
|
|
|
|
xn = mdates.date2num(xx)
|
|
|
|
|
if xlim[0] <= xn <= xlim[1]:
|
|
|
|
|
x_filtered.append(xx)
|
|
|
|
|
y_filtered.append(yy)
|
|
|
|
|
x_main, y_main = x_filtered, y_filtered
|
|
|
|
|
else:
|
|
|
|
|
# 没有选择范围时，主图显示全部数据
|
|
|
|
|
x_main, y_main = x_processed, y_processed
|
|
|
|
|
|
|
|
|
|
self.ax_main.plot(x_main, y_main, color=self.varColors[varName], linewidth=2, marker='o', markersize=4, label=varName)
|
|
|
|
|
# 设置时间格式
|
|
|
|
|
self.ax_main.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M:%S'))
|
|
|
|
|
# 增加主图和缩略图的坐标轴刻度数量，并显示完整日期时间
|
|
|
|
|
from matplotlib.ticker import MaxNLocator
|
|
|
|
|
self.ax_main.xaxis.set_major_locator(mdates.AutoDateLocator())
|
|
|
|
|
self.ax_main.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d %H:%M:%S'))
|
|
|
|
|
self.ax_main.yaxis.set_major_locator(MaxNLocator(nbins=16, prune=None))
|
|
|
|
|
self.ax_overview.xaxis.set_major_locator(mdates.AutoDateLocator())
|
|
|
|
|
self.ax_overview.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d %H:%M:%S'))
|
|
|
|
|
self.ax_overview.yaxis.set_major_locator(MaxNLocator(nbins=16, prune=None))
|
|
|
|
|
# 刻度数量更多
|
|
|
|
|
self.ax_main.xaxis.set_major_locator(MaxNLocator(nbins=16, prune=None))
|
|
|
|
|
self.ax_overview.xaxis.set_major_locator(MaxNLocator(nbins=16, prune=None))
|
|
|
|
|
# 设置标签
|
|
|
|
|
self.ax_main.set_title('历史趋势图', fontsize=12, fontweight='bold')
|
|
|
|
|
self.ax_main.set_ylabel('数值')
|
|
|
|
|
self.ax_overview.set_xlabel('时间')
|
|
|
|
|
self.ax_overview.set_ylabel('数值')
|
|
|
|
|
# 添加图例
|
|
|
|
|
if self.selectedVars:
|
|
|
|
|
self.ax_main.legend(loc='upper right')
|
|
|
|
|
# 自动调整布局
|
|
|
|
|
self.figure.tight_layout()
|
|
|
|
|
# 刷新画布
|
|
|
|
|
self.canvas.draw()
|
|
|
|
|
|
|
|
|
|
def _process_break_line_data(self, x_raw, y_raw):
|
|
|
|
|
"""处理断线数据：间隔大于2分钟的点不连线"""
|
|
|
|
|
x, y = [], []
|
|
|
|
|
prev_time = None
|
|
|
|
|
for xi, yi in zip(x_raw, y_raw):
|
|
|
|
|
if prev_time is not None and (xi - prev_time).total_seconds() > 60:
|
|
|
|
|
# 断线时只在y中插入None，x继续插入当前时间戳
|
|
|
|
|
x.append(xi)
|
|
|
|
|
y.append(None)
|
|
|
|
|
x.append(xi)
|
|
|
|
|
y.append(yi)
|
|
|
|
|
prev_time = xi
|
|
|
|
|
return x, y
|
|
|
|
|
|
|
|
|
|
def filterVarList(self, text):
|
|
|
|
|
# 本地过滤变量列表
|
|
|
|
|
for i in range(self.varListWidget.count()):
|
|
|
|
|
item = self.varListWidget.item(i)
|
|
|
|
|
if item is not None:
|
|
|
|
|
item.setHidden(text.lower() not in item.text().lower())
|
|
|
|
|
|
|
|
|
|
def onVarSelected(self):
|
|
|
|
|
# 当选中一个变量时（非双击）
|
|
|
|
|
selectedItems = self.varListWidget.selectedItems()
|
|
|
|
|
if selectedItems:
|
|
|
|
|
self.statusLabel.setText(f"已选择: {selectedItems[0].text()}")
|
|
|
|
|
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def showVarTrend(self, item):
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# 显示选中变量的趋势图（与多变量流程一致）
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varName = item.text()
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self.currentVarName = varName
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self.statusLabel.setText(f"加载 {varName} 历史趋势...")
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# 清空多变量数据，只保留当前变量
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self.selectedVars = [varName]
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self.multiVarData = {}
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self.varColors = {}
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self.loadVarData(varName)
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# 更新UI信息
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if varName in self.multiVarData:
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data = self.multiVarData[varName]['y']
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xdata = self.multiVarData[varName]['x']
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else:
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data = []
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xdata = []
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self.varNameLabel.setText(f"当前变量: {varName}")
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self.dataCountLabel.setText(f"数据点: {len(data)}")
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if xdata:
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import datetime
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import pandas as pd
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def to_dt(t):
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if isinstance(t, datetime.datetime):
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return t
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elif isinstance(t, pd.Timestamp):
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return t.to_pydatetime()
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elif isinstance(t, (int, float)):
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return datetime.datetime.fromtimestamp(t)
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else:
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return datetime.datetime.now()
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start_time = to_dt(xdata[0]).strftime('%Y-%m-%d %H:%M')
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end_time = to_dt(xdata[-1]).strftime('%Y-%m-%d %H:%M')
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self.timeRangeLabel.setText(f"时间范围: {start_time} - {end_time}")
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else:
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self.timeRangeLabel.setText("时间范围: 无数据")
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# 刷新多变量趋势图
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self.updateMultiVarChart()
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self.resetZoom()
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|
self.statusLabel.setText(f"{varName} 趋势已显示")
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def updateChart(self):
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# 用当前数据更新图表
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|
self.ax_main.clear()
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self.ax_overview.clear()
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|
# 设置网格
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self.ax_main.grid(True, alpha=0.3)
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self.ax_overview.grid(True, alpha=0.3)
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|
|
# 绘制数据
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|
if self.xData and self.yData:
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|
self.ax_main.plot(self.xData, self.yData,
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|
color='blue',
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linewidth=2,
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marker='o',
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|
markersize=4,
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label=self.currentVarName)
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|
|
# 概览图（降采样）
|
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|
|
step = max(1, len(self.xData) // 10)
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|
|
x_overview = self.xData[::step]
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|
|
y_overview = self.yData[::step]
|
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|
|
self.ax_overview.plot(x_overview, y_overview,
|
|
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|
|
color='blue',
|
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|
|
linewidth=1,
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|
|
alpha=0.7)
|
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|
|
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|
|
|
|
# 设置时间格式
|
|
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|
|
self.ax_main.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M:%S'))
|
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|
|
self.ax_overview.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M:%S'))
|
|
|
|
|
|
|
|
|
|
# 设置标签
|
|
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|
|
self.ax_main.set_title('历史趋势图', fontsize=12, fontweight='bold')
|
|
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|
|
self.ax_main.set_ylabel('数值')
|
|
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|
|
self.ax_overview.set_xlabel('时间')
|
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|
|
self.ax_overview.set_ylabel('数值')
|
|
|
|
|
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|
|
|
|
# 添加图例
|
|
|
|
|
if self.currentVarName:
|
|
|
|
|
self.ax_main.legend(loc='upper right')
|
|
|
|
|
|
|
|
|
|
# 自动调整布局
|
|
|
|
|
self.figure.tight_layout()
|
|
|
|
|
|
|
|
|
|
# 刷新画布
|
|
|
|
|
self.canvas.draw()
|
|
|
|
|
|
|
|
|
|
def on_mouse_press(self, event):
|
|
|
|
|
# 鼠标左键按下，准备平移
|
|
|
|
|
if event.inaxes == self.ax_main and event.button == 1 and event.xdata is not None:
|
|
|
|
|
self._is_panning = True
|
|
|
|
|
self._pan_start_x = event.xdata
|
|
|
|
|
self._pan_start_xlim = self.ax_main.get_xlim()
|
|
|
|
|
|
|
|
|
|
def on_mouse_release(self, event):
|
|
|
|
|
# 鼠标左键松开，结束平移
|
|
|
|
|
if self._is_panning:
|
|
|
|
|
self._is_panning = False
|
|
|
|
|
self._pan_start_x = None
|
|
|
|
|
self._pan_start_xlim = None
|
|
|
|
|
# 拖拽结束后再重绘
|
|
|
|
|
self.canvas.draw_idle()
|
|
|
|
|
|
|
|
|
|
def on_mouse_move(self, event):
|
|
|
|
|
# 鼠标移动事件，显示悬浮气泡+平移主图
|
|
|
|
|
if self._is_panning and event.inaxes == self.ax_main and event.xdata is not None and self._pan_start_x is not None:
|
|
|
|
|
dx = event.xdata - self._pan_start_x
|
|
|
|
|
xlim0, xlim1 = self._pan_start_xlim
|
|
|
|
|
self.ax_main.set_xlim(xlim0 - dx, xlim1 - dx)
|
|
|
|
|
# 拖拽时不重绘，提高流畅度
|
|
|
|
|
# self.canvas.draw_idle()
|
|
|
|
|
# 悬浮气泡逻辑（不变）
|
|
|
|
|
if event.inaxes == self.ax_main and event.xdata is not None and event.ydata is not None:
|
|
|
|
|
info_text = f"时间: {mdates.num2date(event.xdata).strftime('%Y-%m-%d %H:%M:%S')}<br>"
|
|
|
|
|
if self.selectedVars:
|
|
|
|
|
for varName in self.selectedVars:
|
|
|
|
|
if varName in self.multiVarData:
|
|
|
|
|
data = self.multiVarData[varName]
|
|
|
|
|
if data['x'] and data['y']:
|
|
|
|
|
closest_idx = self.find_closest_point(data['x'], event.xdata)
|
|
|
|
|
if closest_idx is not None and closest_idx < len(data['y']):
|
|
|
|
|
value = data['y'][closest_idx]
|
|
|
|
|
info_text += f"{varName}: {value:.3f}<br>"
|
|
|
|
|
self.infoBubble.setText(f"<span style='white-space:pre'>{info_text}</span>")
|
|
|
|
|
x = int(event.guiEvent.x())
|
|
|
|
|
y = int(event.guiEvent.y())
|
|
|
|
|
self.infoBubble.move(x + 16, y + 8)
|
|
|
|
|
self.infoBubble.adjustSize()
|
|
|
|
|
self.infoBubble.setVisible(True)
|
|
|
|
|
else:
|
|
|
|
|
self.infoBubble.setVisible(False)
|
|
|
|
|
# self.canvas.draw() # 性能优化：去除重绘
|
|
|
|
|
|
|
|
|
|
def on_mouse_leave(self, event):
|
|
|
|
|
# 鼠标离开主图时隐藏气泡
|
|
|
|
|
self.infoBubble.setVisible(False)
|
|
|
|
|
|
|
|
|
|
def find_closest_point(self, x_data, target_x):
|
|
|
|
|
# 找到最接近目标X值的数据点索引
|
|
|
|
|
if not x_data:
|
|
|
|
|
return None
|
|
|
|
|
|
|
|
|
|
# 将datetime转换为matplotlib日期
|
|
|
|
|
if isinstance(x_data[0], datetime.datetime):
|
|
|
|
|
x_nums = mdates.date2num(x_data)
|
|
|
|
|
else:
|
|
|
|
|
x_nums = x_data
|
|
|
|
|
|
|
|
|
|
# 使用二分查找
|
|
|
|
|
left = 0
|
|
|
|
|
right = len(x_nums) - 1
|
|
|
|
|
while left <= right:
|
|
|
|
|
mid = (left + right) // 2
|
|
|
|
|
if x_nums[mid] == target_x:
|
|
|
|
|
return mid
|
|
|
|
|
elif x_nums[mid] < target_x:
|
|
|
|
|
left = mid + 1
|
|
|
|
|
else:
|
|
|
|
|
right = mid - 1
|
|
|
|
|
# 找到最接近的点
|
|
|
|
|
if left >= len(x_nums):
|
|
|
|
|
return len(x_nums) - 1
|
|
|
|
|
elif right < 0:
|
|
|
|
|
return 0
|
|
|
|
|
else:
|
|
|
|
|
if abs(x_nums[left] - target_x) < abs(x_nums[right] - target_x):
|
|
|
|
|
return left
|
|
|
|
|
else:
|
|
|
|
|
return right
|
|
|
|
|
|
|
|
|
|
def on_overview_xlim_changed(self, event_ax):
|
|
|
|
|
# 当概览图范围变化时更新主图
|
|
|
|
|
if event_ax == self.ax_overview:
|
|
|
|
|
x1, x2 = self.ax_overview.get_xlim()
|
|
|
|
|
self.ax_main.set_xlim(x1)
|
|
|
|
|
self.canvas.draw()
|
|
|
|
|
|
|
|
|
|
def resetZoom(self):
|
|
|
|
|
# 重置到完整视图
|
|
|
|
|
if self.xData:
|
|
|
|
|
self.ax_main.set_xlim(min(self.xData), max(self.xData))
|
|
|
|
|
self.ax_overview.set_xlim(min(self.xData), max(self.xData))
|
|
|
|
|
self.canvas.draw()
|
|
|
|
|
|
|
|
|
|
def zoomBack(self):
|
|
|
|
|
# 退到上一个视图
|
|
|
|
|
if self.history and self.historyIndex > 0:
|
|
|
|
|
self.historyIndex -= 1
|
|
|
|
|
self.applyZoom(self.history[self.historyIndex])
|
|
|
|
|
self.backBtn.setEnabled(self.historyIndex > 0)
|
|
|
|
|
self.forwardBtn.setEnabled(True)
|
|
|
|
|
|
|
|
|
|
def zoomForward(self):
|
|
|
|
|
# 进到下一个视图
|
|
|
|
|
if self.history and self.historyIndex < len(self.history) - 1:
|
|
|
|
|
self.historyIndex += 1
|
|
|
|
|
self.applyZoom(self.history[self.historyIndex])
|
|
|
|
|
self.forwardBtn.setEnabled(self.historyIndex < len(self.history) - 1)
|
|
|
|
|
self.backBtn.setEnabled(True)
|
|
|
|
|
def applyZoom(self, zoom_range):
|
|
|
|
|
# 应用指定的缩放范围
|
|
|
|
|
x1, x2 = zoom_range
|
|
|
|
|
self.ax_main.set_xlim(x1, x2)
|
|
|
|
|
self.canvas.draw()
|
|
|
|
|
|
|
|
|
|
def enableRectZoom(self):
|
|
|
|
|
# 启用框选缩放模式
|
|
|
|
|
self.statusLabel.setText("模式: 框选缩放 - 在概览图中拖动选择区域")
|
|
|
|
|
|
|
|
|
|
def enablePanMode(self):
|
|
|
|
|
# 启用平移模式
|
|
|
|
|
self.statusLabel.setText("模式: 平移视图 - 在主图中拖动移动视图")
|
|
|
|
|
def onProjectChanged(self):
|
|
|
|
|
# 项目更改时处理
|
|
|
|
|
self.exchangeProject()
|
|
|
|
|
def clearAllVars(self):
|
|
|
|
|
# 清除趋势图中的所有变量
|
|
|
|
|
self.selectedVars = []
|
|
|
|
|
self.multiVarData = {}
|
|
|
|
|
self.varColors = {}
|
|
|
|
|
self.ax_main.clear()
|
|
|
|
|
self.ax_overview.clear()
|
|
|
|
|
self.ax_main.grid(True, alpha=0.3)
|
|
|
|
|
self.ax_overview.grid(True, alpha=0.3)
|
|
|
|
|
self.canvas.draw()
|
|
|
|
|
self.statusLabel.setText("趋势图已清除")
|
|
|
|
|
self.varNameLabel.setText("当前变量: 无")
|
|
|
|
|
self.dataCountLabel.setText("数据点: 0")
|
|
|
|
|
self.timeRangeLabel.setText("时间范围: 无数据")
|
|
|
|
|
self.resetZoom()
|
|
|
|
|
|
|
|
|
|
def on_select(self, xmin, xmax):
|
|
|
|
|
# SpanSelector回调，记录选中区间并更新主趋势图
|
|
|
|
|
self._selected_range = (xmin, xmax)
|
|
|
|
|
self.updateMultiVarChart()
|
|
|
|
|
|
|
|
|
|
def on_overview_double_click(self, event):
|
|
|
|
|
# 双击下方缩略图恢复全局视图
|
|
|
|
|
if event.dblclick and event.inaxes == self.ax_overview:
|
|
|
|
|
self.ax_main.set_xlim(auto=True)
|
|
|
|
|
self.canvas.draw_idle()
|
|
|
|
|
|
|
|
|
|
def on_mouse_wheel(self, event):
|
|
|
|
|
# 鼠标滚轮缩放主趋势图X轴
|
|
|
|
|
if event.inaxes == self.ax_main and event.xdata is not None:
|
|
|
|
|
xlim = self.ax_main.get_xlim()
|
|
|
|
|
x_center = event.xdata
|
|
|
|
|
# 缩放因子，滚轮向上放大，向下缩小
|
|
|
|
|
scale_factor = 0.8 if event.button == 'up' else 1.25
|
|
|
|
|
x_left = x_center - (x_center - xlim[0]) * scale_factor
|
|
|
|
|
x_right = x_center + (xlim[1] - x_center) * scale_factor
|
|
|
|
|
self.ax_main.set_xlim(x_left, x_right)
|
|
|
|
|
self.canvas.draw_idle()
|
|
|
|
|
|
|
|
|
|
def onQuickRangeChanged(self, idx):
|
|
|
|
|
from PyQt5.QtCore import QDateTime
|
|
|
|
|
now = QDateTime.currentDateTime()
|
|
|
|
|
if idx == 0: # 最近一天
|
|
|
|
|
self.startTimeEdit.setDateTime(now.addDays(-1))
|
|
|
|
|
self.endTimeEdit.setDateTime(now)
|
|
|
|
|
elif idx == 1: # 最近6小时
|
|
|
|
|
self.startTimeEdit.setDateTime(now.addSecs(-6*3600))
|
|
|
|
|
self.endTimeEdit.setDateTime(now)
|
|
|
|
|
elif idx == 2: # 最近1小时
|
|
|
|
|
self.startTimeEdit.setDateTime(now.addSecs(-3600))
|
|
|
|
|
self.endTimeEdit.setDateTime(now)
|
|
|
|
|
elif idx == 3: # 最近30分钟
|
|
|
|
|
self.startTimeEdit.setDateTime(now.addSecs(-1800))
|
|
|
|
|
self.endTimeEdit.setDateTime(now)
|
|
|
|
|
# idx==4为自定义，不做处理
|
|
|
|
|
# 自动触发查询
|
|
|
|
|
if idx != 4:
|
|
|
|
|
self.onTimeRangeQuery()
|
|
|
|
|
|
|
|
|
|
# 使用示例
|
|
|
|
|
if __name__ == "__main__":
|
|
|
|
|
app = QApplication(sys.argv)
|
|
|
|
|
window = TrendWidgets()
|
|
|
|
|
window.show()
|
|
|
|
|
sys.exit(app.exec_())
|
