dev: добавлена строка эффективности + добавлено сохранение UML в директорию

params/operator_params.json

@@ -1,16 +1,16 @@
 {
-    "dist_open_start_1" : 0.005,
+    "dist_open_start_1": 0.005,
-    "dist_open_start_2" : 0.005,
+    "dist_open_start_2": 0.005,
-    "dist_open_after_1" : 0.006,
+    "dist_open_after_1": 0.006,
-    "dist_open_after_2" : 0.006,
+    "dist_open_after_2": 0.006,
-    "dist_open_end_1" : 0.010,
+    "dist_open_end_1": 0.01,
-    "dist_open_end_2" : 0.050,
+    "dist_open_end_2": 0.05,
-    "dist_close_end_1" : 0.005,
+    "dist_close_end_1": 0.005,
-    "dist_close_end_2" : 0.005,
+    "dist_close_end_2": 0.005,
-    "time_wielding" : 1,
+    "time_wielding": 1,
-    "time_command" : 0.060,
+    "time_command": 0.06,
-    "time_robot_movement" : 0.2,
+    "time_robot_movement": 0.2,
-    "object_thickness" : 4.5e-3,
+    "object_thickness": 0.0045,
-    "force_target" : 5000,
+    "force_target": 5000,
-    "force_capture" : 500
+    "force_capture": 500
 }

params/system_params.json

@@ -15,5 +15,9 @@
     "position_start_2": 0.08,
     "k_prop": 0.05,
     "time_capture": 100000,
-    "UML_time_scaler": 1000
+    "UML_time_scaler": 1000,
-}
+    "Closure_signal": "Closing",
+    "Squeeze_signal": "Squeeze",
+    "Welding_signal": "Welding",
+    "Release_signal": "Relief"
+}

src/gui/__init__.py

@@ -1,3 +1,3 @@
-from .plot_window import PlotWindow
+from .plot_window import Plotter
 from .settings_window import settingsWindow
-from .app  import app
+from .app  import tabWidgetGenerator

src/gui/app.py

@@ -3,77 +3,74 @@ import pyqtgraph as pg
 from src.utils import read_json, DiagramParser
 from src.uml import Request, UMLCreator
 from src.OptAlgorithm import OptAlgorithm
-from src.gui import PlotWindow, settingsWindow
+from src.gui import Plotter, settingsWindow
 
 
-class app:
+class tabWidgetGenerator:
-    def __init__(self):
+    def __init__(self, directory_to_save):
-
+        self.UMLgenerator = Request(server_url='http://www.plantuml.com/plantuml/svg/')
-        self.parser = DiagramParser()
+        self.uml_creator = UMLCreator(request_generator=self.UMLgenerator, path_to_save=directory_to_save)
-        self.request_generator = Request(server_url='http://www.plantuml.com/plantuml/svg/')
-
-        self.operSettings = settingsWindow("params\operator_params.json", 'Operator', self._update_settings)
-        self.sysSettings = settingsWindow("params\system_params.json", 'System', self._update_settings)
-        
-        self._load_preset()
-        
-
-    def _get_ideal_timings(self, opt: OptAlgorithm) -> list[float]:
-        data = opt.Ts
-        ideal_time = [data['tclose'], data['tgrow'], opt.getMarkOpen()]
-        return ideal_time
-
-    def _load_preset(self):
         self.operator_params = read_json("params/operator_params.json")
         self.system_params = read_json("params/system_params.json")
+        self.operSettings = settingsWindow("params\operator_params.json", 'Operator', self._update)
+        self.sysSettings = settingsWindow("params\system_params.json", 'System', self._update)
 
-        self.opt_algorithm = OptAlgorithm(operator_config=self.operator_params, system_config=self.system_params)
+        self.paths = []
-        self.ideal_times = self._get_ideal_timings(self.opt_algorithm)
+        self.plotters = []
+        self.bool_dicts = []
+        self.float_dicts = []
+        self.timings_dicts = []
+        self.modes = []
+        self.names = []
 
-        self.parser.setData("trace_samples/2024_11_08-19_30_49.csv")
+    def get_widget(self, path):
-        self.bool_dict = self.parser.getBoolDict()
+        self.paths.append(path) 
-        self.float_dict = self.parser.getFloatDict()
+        self.plotters.append(Plotter(show_settings_func=self._show_settings)) 
+        self._getParsedData(path)
+        self._update()
+        return self.plotters[-1].widget
+    
+    def _get_ideal_timings(self, opt: OptAlgorithm) -> list[float]:
+        data = opt.Ts
+        ideal_time = [data['tclose'], data['tgrow'], opt.getMarkOpen(), data["tmovement"]]
+        return ideal_time
 
-        self.plotter = PlotWindow(operator_config=self.operator_params,
+    def _getParsedData(self, path):
-                        system_config=self.system_params,
+        self.names.append(path)
-                        opt=self.opt_algorithm,
+        parser = DiagramParser(system_config=self.system_params)
-                        bool_dict=self.bool_dict,
+        parser.setData(path)
-                        float_dict=self.float_dict, 
+        self.bool_dicts.append(parser.getBoolDict())
-                        show_settings_func=self._show_settings)
+        self.float_dicts.append(parser.getFloatDict())
-        
+        self.timings_dicts.append(parser.getRealTimings())
-        self.uml_creator = UMLCreator(operator_config=self.operator_params,
+        self.modes.append(parser.getMode())
-                                system_config=self.system_params,                                      
-                                request_generator=self.request_generator,
-                                ideal_time=self.ideal_times,
-                                bool_dict=self.bool_dict,
-                                float_dict=self.float_dict)
-        
-        self.uml_creator.update_uml(operator_config=self.operator_params,
-                                system_config=self.system_params,
-                                request_generator=self.request_generator,
-                                ideal_time=self.ideal_times,
-                                bool_dict=self.bool_dict,
-                                float_dict=self.float_dict)
         
 
-    def _update_settings(self, _):
+    def _update(self, _ = None):
         self.operator_params = self.operSettings.getParams()
         self.system_params = self.sysSettings.getParams()
 
-        self.opt_algorithm = OptAlgorithm(operator_config=self.operator_params, system_config=self.system_params)
+        opt_algorithm = OptAlgorithm(operator_config=self.operator_params, system_config=self.system_params)
-        self.ideal_times = self._get_ideal_timings(self.opt_algorithm)
+        ideal_times = self._get_ideal_timings(opt_algorithm)
-
-        self.uml_creator.update_uml(system_config=self.system_params,
-                                request_generator=self.request_generator,
-                                ideal_time=self.ideal_times,
-                                bool_dict=self.bool_dict,
-                                float_dict=self.float_dict)
         
-        self.plotter.update_data(operator_config=self.operator_params,
+        for i in range (len(self.plotters)):
+            self.plotters[i].update_data(operator_config=self.operator_params,
                         system_config=self.system_params,
-                        opt=self.opt_algorithm,
+                        opt=opt_algorithm,
-                        bool_dict=self.bool_dict,
+                        bool_dict=self.bool_dicts[i],
-                        float_dict=self.float_dict)
+                        ideal_time=ideal_times,
+                        float_dict=self.float_dicts[i],
+                        mode = self.modes[i],
+                        timings_dict=self.timings_dicts[i])
+
+        self.uml_creator.update_uml(operator_config=self.operator_params,
+                                    system_config=self.system_params,
+                                ideal_time=ideal_times,
+                                bool_dict=self.bool_dicts[i],
+                                float_dict=self.float_dicts[i],
+                                mode = self.modes[i], 
+                                timings_dict=self.timings_dicts[i],
+                                name = self.names[i])
+        
         
     def _show_settings(self):
         self.operSettings.show()
@@ -82,5 +79,7 @@ class app:
 
 if __name__ == '__main__':
     pg.mkQApp("Plotting")
-    temp = app()
+    temp = tabWidgetGenerator()
+    widget = temp.get_widget("trace_samples/2024_11_08-19_30_49.csv")
+    widget.show()
     pg.exec()

src/gui/plot_window.py

@@ -1,5 +1,6 @@
 import pyqtgraph as pg
 from pyqtgraph.Qt import QtWidgets
+from PyQt5.QtCore import Qt
 import numpy as np
 
 from src.gui import qt_settings as qts
@@ -7,22 +8,10 @@ from src.gui import qt_settings as qts
 from src.OptAlgorithm import OptAlgorithm
 
 
-class PlotWindow:
+class Plotter:
-    def __init__(self,
+    def __init__(self, show_settings_func):
-                 system_config : dict,
-                 operator_config: dict,
-                 opt: OptAlgorithm,
-                 bool_dict: dict,
-                 float_dict: dict, show_settings_func):
         pg.setConfigOptions(antialias=True)
-        self.opt = opt
-        self.bool_dict = bool_dict
-        self.float_dict = float_dict
-        self.scaler = int(system_config['UML_time_scaler'])
-        self.WeldTime = operator_config['time_wielding'] #[sec]
         self.alpha = 100 #[0-255 прозрачность фона]
-        
-        self._getIdealTimings()
         self._init_ui()
         self.settings_button.clicked.connect(show_settings_func)
         
@@ -31,15 +20,22 @@ class PlotWindow:
                     system_config : dict,
                     operator_config: dict,
                     opt: OptAlgorithm,
+                    ideal_time: list[float],
                     bool_dict: dict,
-                    float_dict: dict):
+                    float_dict: dict,
+                    timings_dict: dict,
+                    mode: bool):
         self.opt = opt
         self.bool_dict = bool_dict
         self.float_dict = float_dict
+        self.timings_dict = timings_dict
+        self.idealTime = ideal_time
+        self.theor_mode = mode
         self.scaler = int(system_config['UML_time_scaler'])
         self.WeldTime = operator_config['time_wielding'] #[sec]
-        self._getIdealTimings()
+        self.WeldData = self.opt.calcPhaseGrow(self.idealTime[1])
         self._updatePlots()
+        
     
     def _init_ui(self):
         self.widget = QtWidgets.QWidget()
@@ -53,7 +49,15 @@ class PlotWindow:
         layout.addWidget(self.win)
         self.settings_button = QtWidgets.QPushButton("Show settings")
         self.settings_button.setFixedWidth(160)
-        layout.addWidget(self.settings_button)
+        info_layout = QtWidgets.QHBoxLayout()
+        layout.addLayout(info_layout)
+        info_layout.addWidget(self.settings_button, alignment = Qt.AlignLeft)
+        info_layout.setSpacing(20)
+        self.efficiency = QtWidgets.QLabel()
+        info_layout.addWidget(self.efficiency, alignment = Qt.AlignRight)
+
+        
+        
 
         self.p11, self.l11 = self._init_graph('Electrode force, closure', 'Force', 'N', 'Time', 'ms')
         #self.p21, _ = self._init_graph('Electrode force, compression', 'Force', 'N', 'Time', 'ms')
@@ -74,9 +78,7 @@ class PlotWindow:
         self.p11.setAutoVisible(x=False, y=True)
         self.p12.setAutoVisible(x=False, y=True)
         self.p13.setAutoVisible(x=False, y=True)
-        self._updatePlots()
         self.widget.setStyleSheet(qts.dark_style)
-        self.widget.show()
 
     def _init_graph(self, title, Yname, Yunits, Xname, Xunits):
         plot = self.win.addPlot(title = title)
@@ -95,40 +97,125 @@ class PlotWindow:
         self.p13.clear()
         self.l13.clear()
 
-        self._plotRealData()
+        if not self.theor_mode:
-        times = np.arange(20000)/10
+            self._plotRealData()
-        self._plotIdealData(times)
+        self._form_idealdatGraph()
+        self._calcOurScore()
+
+    def _calcOurScore (self):
+        success = []
+        start = np.array(self.timings_dict["closure"])[:, 0]
+        end = np.array(self.timings_dict["opening"])[:, 1]
+        points_timings = end-start
+
+        ideal_time = sum(self.idealTime[:3])+self.WeldTime
+        for point in points_timings:
+            success.append(int(ideal_time/point * 100))
+        if len(success) > 1:
+            maxS = max(success)
+            minS = min(success)
+            average = int(sum(success[:])/len(success))
+            self.efficiency.setText(f'Efficiency Maximum: {maxS}%, Average: {average}%, Minimum: {minS}%' )
+        else:
+            self.efficiency.setText(f'Efficiency Maximum: {success[0]}' )
+        self.efficiency.setStyleSheet(qts.BigSuccessLabel)
+
+
+    def _form_idealdatGraph(self):
+
+        if self.theor_mode:
+            self.timings_dict["closure"] = [[0, self.idealTime[0]]]
+            self.timings_dict["compression"] = [[self.idealTime[0], sum(self.idealTime[:2])]]
+            self.timings_dict["welding"] = [[sum(self.idealTime[:2]), sum(self.idealTime[:2])+self.WeldTime]]
+            self.timings_dict["opening"] = [[sum(self.idealTime[:2])+self.WeldTime, sum(self.idealTime[:3])+self.WeldTime]]
+
+        delta = 10 #points_per_ms
+        for key, items in self.timings_dict.items():
+            for item in items:
+                item_data = []
+                time_data = []
+                              
+                if key == 'closure':
+                    ideal_time = self.idealTime[0]
+                    calc = self.opt.calcPhaseClose
+                    color = qts.RGBA[0]
+                    for i in range(0, int(ideal_time*self.scaler)*delta):
+                        time = i/delta
+                        item_data.append(calc(time/self.scaler))
+                        time_data.append(time+item[0]*self.scaler)
+                        #print (item_data[-1], time_data[-1])
+                    self._plotIdealData(np.array(time_data), np.array(item_data).T)
+                    self._addBackgroundSplitter([item[0]*self.scaler,item[0]*self.scaler + time], color)
+                    
+                elif key == 'compression':
+                    ideal_time = self.idealTime[1]
+                    calc = self.opt.calcPhaseGrow
+                    color = qts.RGBA[1]
+
+                    for i in range(int(ideal_time*self.scaler)*delta, 0, -1):
+                        time = i/delta
+                        item_data.append(calc(time/self.scaler))
+                        time_data.append(item[1]*self.scaler-(ideal_time*self.scaler-time))
+                        #print (item_data[-1], time_data[-1])
+                    self._plotIdealData(np.array(time_data), np.array(item_data).T)
+                    self._addBackgroundSplitter([(item[1]-ideal_time)*self.scaler, item[1]*self.scaler], color)
+
+                    temp = item_data[0][4]
+                    x = [time_data[0], time_data[-1], time_data[-1]-0.0001]
+                    y = [temp, temp, temp]
+                    a1, b1, c1 = self._calculate_equidistant(x, y, 2.5, 3)
+                    self.p11.addItem(a1)
+                    self.p11.addItem(b1)
+                    self.p11.addItem(c1)
+
+                elif key == 'welding':
+                    ideal_time = self.WeldTime
+                    calc = self._returnWeldData
+                    color = qts.RGBA[2]
+
+                    for i in range(0, int(ideal_time*self.scaler)*delta):
+                        time = i/delta
+                        item_data.append(calc(time/self.scaler))
+                        time_data.append(time+item[0]*self.scaler)
+                        #print (item_data[-1], time_data[-1])
+                    self._plotIdealData(np.array(time_data), np.array(item_data).T)
+                    self._addBackgroundSplitter([item[0]*self.scaler,item[0]*self.scaler + time], color)
+
+                    x = [time_data[0], time_data[-1], time_data[-1]+0.0001]
+                    y = [item_data[0][4], item_data[0][4], item_data[0][4]]
+                    a1, b1, c1 = self._calculate_equidistant(x, y, 0.75, 3)
+                    self.p11.addItem(a1)
+                    self.p11.addItem(b1)
+                    self.p11.addItem(c1)
+
+                elif key == 'opening':
+                    calc = self.opt.calcPhaseOpen
+                    ideal_time = self.idealTime[2]
+                    ideal_closure = self.idealTime[3]
+                    color = qts.RGBA[3]
+                    color_closure = qts.RGBA[4]
+
+                    for i in range(0, int(ideal_time*self.scaler)*delta):
+                        time = i/delta
+                        item_data.append(calc(time/self.scaler))
+                        time_data.append(time+item[0]*self.scaler)
+                        #print (item_data[-1], time_data[-1])
+                    self._plotIdealData(np.array(time_data), np.array(item_data).T)
+                    self._addBackgroundSplitter([item[0]*self.scaler,item[0]*self.scaler + time], color)
+
+                    item_data = []
+                    time_data = []
+                    for i in range(0, int(ideal_closure*self.scaler)*delta):
+                        time = i/delta
+                        item_data.append(self.opt.calcPhaseMovement(time/self.scaler))
+                        time_data.append(time+item[1]*self.scaler)
+                    self._plotIdealData(np.array(time_data), np.array(item_data).T)
+                    self._addBackgroundSplitter([item[1]*self.scaler,item[1]*self.scaler + time], color_closure)     
+
+    def _returnWeldData(self, _):
+        return self.WeldData
 
-    def _getIdealTimings(self):
-        data = self.opt.Ts
-        self.idealTime = [data['tclose'], data['tgrow'], self.opt.getMarkOpen(), data["tmovement"]]
 
-    def _form_idealdatGraph(self, times):
-        self.idealPhase0 = (self.idealTime[0])*self.scaler                                                        #Подъезд
-        self.idealPhase1 = (self.idealTime[0]+ self.idealTime[1])*self.scaler                                    #Сжатие
-        self.idealPhase2 = (self.idealTime[0]+ self.idealTime[1] + self.WeldTime)*self.scaler                     #Сварка
-        self.idealPhase3 = (self.idealTime[0]+ self.idealTime[1] + self.idealTime[2] + self.WeldTime)*self.scaler #Разъезд
-        self.idealPhase4 = (sum(self.idealTime[:4]) + self.WeldTime)*self.scaler #Последнее смыкание  #TODO добавить идеальное время вместо 0.25
-        self.x_splitter = np.array([[0, self.idealPhase0],
-             [self.idealPhase0, self.idealPhase1],
-             [self.idealPhase1, self.idealPhase2],
-             [self.idealPhase2, self.idealPhase3],
-             [self.idealPhase3, self.idealPhase4]])
-        data = []
-        for time in times:
-            if time <= self.idealPhase0:
-                x_fe, x_me, v_fe, v_me, f = self.opt.calcPhaseClose(time/self.scaler)
-            elif time <= self.idealPhase1:
-                x_fe, x_me, v_fe, v_me, f = self.opt.calcPhaseGrow(time/self.scaler-self.idealTime[0])
-            elif time <= self.idealPhase2:
-                x_fe, x_me, v_fe, v_me, f = data[-1]
-            elif time <= self.idealPhase3:
-                x_fe, x_me, v_fe, v_me, f = self.opt.calcPhaseOpen(time/self.scaler-self.idealTime[0]-self.idealTime[1]-self.WeldTime)
-            else:
-                x_fe, x_me, v_fe, v_me, f = self.opt.calcPhaseMovement(time/self.scaler-sum(self.idealTime[:3])-self.WeldTime)
-            data.append([x_fe, x_me, v_fe, v_me, f])
-        data = np.array(data).T
-        return data
 
     def _plotRealData(self):
         for i, (key, dat) in enumerate(self.float_dict.items()):
@@ -146,62 +233,46 @@ class PlotWindow:
                 self.l13.addItem(curve, key)
         return dat[0]
 
-    def _plotIdealData(self, times):
+    def _plotIdealData(self, time, data):
-        data = self._form_idealdatGraph(times)
+        x_fe = pg.PlotDataItem(time, data[0]*1000, pen=pg.mkPen(color=qts.colors[8], width=2), name='x_fe', autoDownsample=True, downsample=True)
-
+        x_me = pg.PlotDataItem(time, data[1]*1000, pen=pg.mkPen(color=qts.colors[9], width=2), name='x_me', autoDownsample=True, downsample=True)
-        x_fe = pg.PlotDataItem(times, data[0]*1000, pen=pg.mkPen(color=qts.colors[8], width=2), name='x_fe', autoDownsample=True, downsample=True)
+        v_fe = pg.PlotDataItem(time, data[2]*1000, pen=pg.mkPen(color=qts.colors[8], width=2), name='v_fe', autoDownsample=True, downsample=True)
-        x_me = pg.PlotDataItem(times, data[1]*1000, pen=pg.mkPen(color=qts.colors[9], width=2), name='x_me', autoDownsample=True, downsample=True)
+        v_me = pg.PlotDataItem(time, data[3]*1000, pen=pg.mkPen(color=qts.colors[9], width=2), name='v_me', autoDownsample=True, downsample=True)
-        v_fe = pg.PlotDataItem(times, data[2]*1000, pen=pg.mkPen(color=qts.colors[8], width=2), name='v_fe', autoDownsample=True, downsample=True)
+        f = pg.PlotDataItem(time, data[4], pen=pg.mkPen(color=qts.colors[8], width=2), name='f', autoDownsample=True, downsample=True)
-        v_me = pg.PlotDataItem(times, data[3]*1000, pen=pg.mkPen(color=qts.colors[9], width=2), name='v_me', autoDownsample=True, downsample=True)
-        f = pg.PlotDataItem(times, data[4], pen=pg.mkPen(color=qts.colors[8], width=2), name='f', autoDownsample=True, downsample=True)
 
         self.p11.addItem(f)
-        self.l11.addItem(f, 'Ideal force')
+        #self.l11.addItem(f, 'Ideal force')
 
         self.p12.addItem(x_fe)
-        self.l12.addItem(x_fe, 'FE POS')
+        #self.l12.addItem(x_fe, 'FE POS')
         self.p12.addItem(x_me)
-        self.l12.addItem(x_me, 'ME POS')
+        #self.l12.addItem(x_me, 'ME POS')
 
         self.p13.addItem(v_fe)
-        self.l13.addItem(v_fe, 'FE VEL')
+        #self.l13.addItem(v_fe, 'FE VEL')
         self.p13.addItem(v_me)
-        self.l13.addItem(v_me, 'ME VEL')
+        #self.l13.addItem(v_me, 'ME VEL')
-        self._addBackgroundSplitter()
+        #self._addBackgroundSplitter()
-        self._addEquidistances(times, data)
+        #self._addEquidistances(time, data)
 
-    def _addBackgroundSplitter(self):
+    def _addBackgroundSplitter(self, x, color):
         alpha = self.alpha
         y01 = np.array([10000, 10000])
         y0_1 = np.array([-10000, -10000])
-        for i, _ in enumerate(self.x_splitter):
+        a01 = pg.PlotDataItem(x, y01, pen=pg.mkPen(color=qts.colors[8], width=2), name=' ')
-            a01 = pg.PlotDataItem(_, y01, pen=pg.mkPen(color=qts.colors[8], width=2), name=' ')
+        a0_1 = pg.PlotDataItem(x, y0_1, pen=pg.mkPen(color=qts.colors[8], width=2), name=' ')
-            a0_1 = pg.PlotDataItem(_, y0_1, pen=pg.mkPen(color=qts.colors[8], width=2), name=' ')
+        bg1 = pg.FillBetweenItem(a01, a0_1, color+(alpha,))
-            bg1 = pg.FillBetweenItem(a01, a0_1, qts.RGBA[i]+(alpha,))
+        bg2 = pg.FillBetweenItem(a01, a0_1, color+(alpha,))
-            bg2 = pg.FillBetweenItem(a01, a0_1, qts.RGBA[i]+(alpha,))
+        bg3 = pg.FillBetweenItem(a01, a0_1, color+(alpha,))
-            bg3 = pg.FillBetweenItem(a01, a0_1, qts.RGBA[i]+(alpha,))
+        self.p11.addItem(bg1)
-            self.p11.addItem(bg1)
+        self.p12.addItem(bg2)
-            self.p12.addItem(bg2)
+        self.p13.addItem(bg3)
-            self.p13.addItem(bg3)
 
         self.p11.setYRange(-1000, 5000)
         self.p12.setYRange(-50, 250)
         self.p13.setYRange(-400, 400)
 
-    def _addEquidistances(self, times, data):
-        a1, b1, c1 = self._calculate_equidistant('fill', max(data[4]), 2.5, self.x_splitter[1], 3)
-        self.p11.addItem(a1)
-        self.p11.addItem(b1)
-        self.p11.addItem(c1)
-
-        a1, b1, c1 = self._calculate_equidistant(times, data[4], 0.75, self.x_splitter[2], 3)
-        self.p11.addItem(a1)
-        self.p11.addItem(b1)
-        self.p11.addItem(c1)
-
         
-
-
     def _makeFiller(self, x1, y1, x2, y2, color):
         alpha = self.alpha
         eq1 = pg.PlotDataItem(x1, y1, pen=pg.mkPen(color='#000000', width=1))
@@ -210,11 +281,7 @@ class PlotWindow:
         return eq1, eq2, bg
 
 
-    def _calculate_equidistant(self, x, y, percent, splitter, color):
+    def _calculate_equidistant(self, x, y, percent, color):
-        if str(x) == 'fill':
-            x = [splitter[0]+0.001, splitter[0]+0.002, splitter[1]-0.002, splitter[1]-0.001]
-            y = [y, y, y, y]
-        
         if len(x) != len(y):
             raise ValueError("x и y должны быть одного размера")
         distance = max(y)/100*percent
@@ -224,19 +291,17 @@ class PlotWindow:
         y_eq2 = []
 
         for i in range(0, len(x) - 1):
-            if splitter[0]<=  x[i] and x[i] <= splitter[1]:
+            dx = x[i + 1] - x[i]
-                
+            dy = y[i + 1] - y[i]
-                dx = x[i + 1] - x[i]
+            length = np.sqrt(dx ** 2 + dy ** 2)
-                dy = y[i + 1] - y[i]
+            sinA = dy/length
-                length = np.sqrt(dx ** 2 + dy ** 2)
+            sinB = dx/length
-                sinA = dy/length
+            
-                sinB = dx/length
+            nx = -sinA*distance
-                
+            ny = sinB*distance
-                nx = -sinA*distance
+            x_eq1.append(x[i] + nx)
-                ny = sinB*distance
+            y_eq1.append(y[i] + ny)
-                x_eq1.append(x[i] + nx)
+            x_eq2.append(x[i] - nx)
-                y_eq1.append(y[i] + ny)
+            y_eq2.append(y[i] - ny)
-                x_eq2.append(x[i] - nx)
-                y_eq2.append(y[i] - ny)
         
         return self._makeFiller(np.array(x_eq1), np.array(y_eq1), np.array(x_eq2), np.array(y_eq2), color)

src/gui/qt_settings.py

@@ -233,7 +233,13 @@ QPushButton:disabled {
 }
 
 """
-
+BigSuccessLabel = """
+QLabel {
+    color: #ffffff;
+    font-size: 26px;
+    font-weight: bold;
+    font-family: "Segoe UI", sans-serif;
+}"""
 
 colors = [
     '#FF6F61',  # яркий коралловый

src/main.py

@@ -1,12 +1,115 @@
-import pyqtgraph as pg
+import sys
+import os
+import time
+from PyQt5.QtWidgets import (
+    QApplication,
+    QMainWindow,
+    QTabWidget,
+    QWidget,
+    QVBoxLayout,
+    QLabel,
+)
+from PyQt5.QtCore import Qt, QThread, pyqtSignal, QObject, QFileSystemWatcher
+from PyQt5.QtGui import QIcon
+from src.gui import qt_settings as qts
+
+# Импортируйте ваш класс `app` здесь
+# Предполагается, что класс `app` предоставляет интерфейс для отображения данных
+# Если `app` не предоставляет виджет, возможно, потребуется его модифицировать
+from src.gui.app import tabWidgetGenerator
+
+
+class DirectoryWatcher(QObject):
+
+    file_created = pyqtSignal(str)
+
+    def __init__(self, directory_path):
+        super().__init__()
+        self.directory_path = directory_path
+        self.watcher = QFileSystemWatcher()
+        self.watcher.addPath(self.directory_path)
+        self.existing_files = set(os.listdir(self.directory_path))
+        self.watcher.directoryChanged.connect(self.on_directory_changed)
+      
+
+    def on_directory_changed(self, _):
+        try:
+            current_files = set(os.listdir(self.directory_path))
+            new_files = current_files - self.existing_files
+            self.existing_files = current_files
+            for file in new_files:
+                if file.lower().endswith(".csv"):
+                    full_path = os.path.join(self.directory_path, file)
+                    self.file_created.emit(full_path)
+        except Exception as e:
+            print(f"Ошибка при обработке изменений директории: {e}")
+
+
+class MainWindow(QMainWindow):
+    def __init__(self, directory_to_watch):
+        super().__init__()
+        self.setWindowTitle("Мониторинг CSV-файлов")
+        self.setGeometry(100, 100, 800, 600)
+
+        self.tabs = QTabWidget()
+        self.tabs.setStyleSheet(qts.dark_style)
+        self.tabGen = tabWidgetGenerator(directory_to_watch)
+        self.handle_new_file()
+        self.setCentralWidget(self.tabs)
+
+        # self.setWindowIcon(QIcon("path_to_icon.png"))
+        self.start_directory_watcher(directory_to_watch)
+        
+
+    def start_directory_watcher(self, directory_path):
+        self.watcher_thread = QThread()
+        self.watcher = DirectoryWatcher(directory_path)
+        self.watcher.moveToThread(self.watcher_thread)
+
+        self.watcher.file_created.connect(self.handle_new_file)
+        self.watcher_thread.started.connect(self.watcher.on_directory_changed)
+
+        self.watcher_thread.start()
+
+    def handle_new_file(self, file_path = None):
+        time.sleep(0.2)
+        if file_path:
+            file_name = os.path.basename(file_path)
+        else:
+            file_path = None
+            file_name = 'Ideal'
+
+        tab_widget = self.tabGen.get_widget(path=file_path)
+
+        tab = QWidget()
+        layout = QVBoxLayout()
+        layout.addWidget(tab_widget)
+
+        label = QLabel(f"{file_name}")
+        label.setAlignment(Qt.AlignCenter)
+        layout.addWidget(label)
+        tab.setLayout(layout)
+
+        self.tabs.addTab(tab, file_name)
+
+    def closeEvent(self, event):
+        self.watcher_thread.quit()
+        self.watcher_thread.wait()
+        event.accept()
 
-from src.gui import app
 
 def main():
-    pg.mkQApp("Plotting")
+    directory_to_watch = "D:/downloads/a22"
-    temp = app()
+
-    pg.exec()
+    if not os.path.isdir(directory_to_watch):
+        print(f"Директория не найдена: {directory_to_watch}")
+        sys.exit(1)
+
+    app_instance = QApplication(sys.argv)
+    window = MainWindow(directory_to_watch)
+    window.show()
+    sys.exit(app_instance.exec_())
 
 
-if __name__ == '__main__':
+if __name__ == "__main__":
     main()

src/uml/creator.py

@@ -2,40 +2,49 @@ from src.uml.request_generator import Request
 
 
 class UMLCreator:
-    def __init__(self, 
+    def __init__(self, request_generator: Request, path_to_save: str):
-                 system_config: dict,
-                 operator_config: dict,
-                 request_generator: Request,
-                 ideal_time: list[float],
-                 bool_dict: dict,
-                 float_dict: dict):
         self._request_generator = request_generator
-        self._ideal_time = ideal_time
+        self.path_to_save = path_to_save
-        self.bool_dict = bool_dict
-        self.float_dict = float_dict
-        self.scaler = int(system_config['UML_time_scaler'])
-        self.WeldTime = operator_config['time_wielding']
 
 
     def _build_data(self):
-        sig = [
+        real_data = []
-            "Closing",
+        ideal_data = []
-            "Relief",
+        if not self.theor_mode:
-            "Squeeze",
+           
-            "Welding"
+            for key, items in self.timings_dict.items():
-        ]
+                if key == 'closure': ideal_time = self._ideal_time[0]
-        closure = [self.bool_dict[sig[0]][1][0], self.bool_dict[sig[0]][2][0]]
+                elif key == 'compression': ideal_time = self._ideal_time[1]
-        compression = [self.bool_dict[sig[2]][1][0], self.bool_dict[sig[2]][2][0]]
+                elif key == 'welding': ideal_time = self.WeldTime
-        opening = [self.bool_dict[sig[1]][1][0], self.bool_dict[sig[1]][-1][0]]
+                elif key == 'opening': ideal_time = self._ideal_time[2]
+                
+                for item in items:
+                    real_data.append([item[0]*self.scaler+0.0001, str(key) + '#green'])
+                    real_data.append([item[1]*self.scaler, '{-}'])
+                    
+                    if key == 'compression':
+                        ideal_data.append([(item[1]-ideal_time)*self.scaler, str(key) + '#yellow'])
+                        ideal_data.append([(item[1]-0.0001)*self.scaler, '{-}'])
+                    else:
+                        ideal_data.append([item[0]*self.scaler+0.0001, str(key) + '#yellow'])
+                        ideal_data.append([(item[0]+ideal_time)*self.scaler, '{-}'])
+                        if key == 'opening':
+                            ideal_data.append([item[1]*self.scaler+0.0001, 'coming #yellow'])
+                            ideal_data.append([(item[1]+self._ideal_time[3])*self.scaler, '{-}'])
 
-        real_data = [
+        else: 
-            [closure[0]*self.scaler, 'closure #green'],
+            real_data = []
-            [closure[1]*self.scaler, '{-}'],
+            ideal_data = [
-            [compression[0]*self.scaler+0.0001, 'compression #green'],
+                [0.0, 'closure #yellow'],
-            [compression[1]*self.scaler, 'welding #green'],
+                [self._ideal_time[0] * self.scaler, '{-}'],
-            [opening[0]*self.scaler+0.0001, 'opening  #green'],
+                [(self._ideal_time[0] + 0.0001) * self.scaler, 'compression #yellow'],
-            [opening[1]*self.scaler, '{-}'],
+                [sum(self._ideal_time[:2]) * self.scaler, '{-}'],
-        ]
+                [(sum(self._ideal_time[:2])+ 0.0001) * self.scaler, 'welding #yellow'],
+                [(sum(self._ideal_time[:2]) + self.WeldTime)*self.scaler, '{-}'],
+                [(sum(self._ideal_time[:2]) + 0.0001 + self.WeldTime) * self.scaler, 'opening #yellow'],
+                [(sum(self._ideal_time[:3]) + self.WeldTime) * self.scaler, 'coming #yellow'],
+                [(sum(self._ideal_time[:4]) + self.WeldTime) * self.scaler, '{-}'],
+            ]
 
         client_data = [
             [0.0 * self.scaler, 'closure'],
@@ -48,31 +57,15 @@ class UMLCreator:
             [0.300 * self.scaler, '{-}'],
         ]
 
-        ideal_data = [
+        
-            [0.0 * self.scaler, 'closure #yellow'],
-            [self._ideal_time[0] * self.scaler, '{-}'],
-            [(self._ideal_time[0] + 0.0001) * self.scaler, 'compression #yellow'],
-            [(self._ideal_time[0] + self._ideal_time[1]) * self.scaler, '{-}'],
-            [(self._ideal_time[0] + self._ideal_time[1]+ 0.0001) * self.scaler, 'welding #yellow'],
-            [(self._ideal_time[0] + self._ideal_time[1] + self.WeldTime)*self.scaler, '{-}'],
-            [(self._ideal_time[0] + self._ideal_time[1] + 0.0001 + self.WeldTime) * self.scaler, 'opening #yellow'],
-            [(self._ideal_time[0] + self._ideal_time[1] + self._ideal_time[2] + self.WeldTime) * self.scaler, '{-}'],
-        ]
         return real_data, client_data, ideal_data, self.bool_dict
 
-    def _get_time(self, signals = '', states = ''):
-        res = []
-        for i, sig in enumerate(signals):
-            if states: state = states[i]
-            else: state = 'high'
-            index1 = next ((i for i, _ in enumerate(self.bool_dict[sig]) if _[1]==state), -1)
-            time = self.bool_dict[sig][index1][0]
-            res.append(time)
-        return res
-
     def _generate_svg(self, real_data, client_data, ideal_data, bool_data) -> None:
-        try:
+        
-            self._request_generator.clear()
+        self._request_generator.clear()
+        self._request_generator.appendStr('scale 25 as 50 pixels')
+        
+        if not self.theor_mode:
             self._request_generator.addLineStyle('biba', 'red', 2)
 
             for i, [signal, changes] in enumerate(bool_data.items()):
@@ -85,28 +78,33 @@ class UMLCreator:
 
             self._request_generator.addConcise('RD', 'Real data')
             self._request_generator.setTimestamps('RD', real_data)
-            self._request_generator.addConcise('CD', 'Client data')
+        else: self.name = self.path_to_save + '/Ideal'
-            self._request_generator.setTimestamps('CD', client_data)
-            self._request_generator.addConcise('ID', 'Ideal data')
-            self._request_generator.setTimestamps('ID', ideal_data)
-
-            self._request_generator.generateSVG()
 
+        self._request_generator.addConcise('CD', 'Client data')
+        self._request_generator.setTimestamps('CD', client_data)
+        self._request_generator.addConcise('ID', 'Ideal data')
+        self._request_generator.setTimestamps('ID', ideal_data)
+        try:    
+            self._request_generator.generateSVG(self.name)
         except Exception as e:
             print(f"SVG generate error: {e}")
 
     def update_uml(self, 
                  operator_config: dict,
                  system_config : dict,
-                 request_generator: Request,
                  ideal_time: list[float],
                  bool_dict: dict,
-                 float_dict: dict):
+                 float_dict: dict,
+                 timings_dict: dict,
+                 mode: bool,
+                 name:str):
         
-        self._request_generator = request_generator
         self._ideal_time = ideal_time
         self.bool_dict = bool_dict
         self.float_dict = float_dict
+        self.timings_dict = timings_dict
+        self.theor_mode = mode
+        self.name = name
         self.scaler = int(system_config['UML_time_scaler'])
         self.WeldTime = operator_config['time_wielding']
         

src/uml/request_generator.py

@@ -48,10 +48,10 @@ class Request:
     def addLineStyle(self, name, color = 'green', thicknes = 1):
         self.lineStyles[name] = [f'LineColor {color}', f'LineThickness {thicknes}']
 
-    def generateSVG(self):
+    def generateSVG(self, name):
-        self._compileUML()
+        self._compileUML(name)
-        filename = abspath('UML.txt')
+        filename = abspath(f'{name}.txt')
-        self.server.processes_file(filename, outfile='UML.svg')
+        self.server.processes_file(filename, outfile=f'{name}.svg')
         #result = self.server.processes(self.stringUML)
         #return result
 
@@ -78,12 +78,11 @@ class Request:
             self.reqArr.append('}')
 
         self.reqArr.append('</style>')
-        self.reqArr.append('scale 10 as 50 pixels')
 
     def _addVariables(self):
         for var in self.variables: self.reqArr.append(str(var))
 
-    def _compileUML(self):
+    def _compileUML(self, name):
         self._addHeader()
         self._addVariables()
             
@@ -93,7 +92,7 @@ class Request:
                 
         self._endUML()
         self.stringUML = [line + '\n' for line in self.reqArr]
-        with open('UML.txt', 'w', encoding='utf-8') as file:
+        with open(f'{name}.txt', 'w', encoding='utf-8') as file:
             file.writelines(self.stringUML)
 
 

src/utils/diagram_parser.py

@@ -2,28 +2,60 @@ import pandas as pd
 import numpy as np
 
 class DiagramParser:
-    def __init__(self):
+    def __init__(self, system_config: dict):
         self.data = pd.DataFrame({})
+        self.signals = [system_config["Closure_signal"],
+                        system_config["Squeeze_signal"],
+                        system_config["Welding_signal"],
+                        system_config["Release_signal"]]
+        
+        self.boolDict = {}
+        self.floatDict = {}
+        self.timingsDict = {}
+        self.theor_mode = False
 
     def setData(self, path):
-        self.data = pd.read_csv(path)
+        if not path:
+            self.theor_mode = True
+        else:
+            self.data = pd.read_csv(path)
+            
+            for signalName in self.data.columns:
+                if type (self.data[signalName].iloc[0]) == np.bool:
+                    self.boolDict[signalName] = self._getBoolChanges(signalName)
 
-    def getBoolDict (self):
+            for signalName in self.data.columns:
-        boolDict = {}
+                if type (self.data[signalName].iloc[0]) == np.float64:
-        for signalName in self.data.columns:
+                    self.floatDict[signalName] = self._getFloatChanges(signalName)
-            if type (self.data[signalName].iloc[0]) == np.bool:
+            
-                boolDict[signalName] = self._getBoolChanges(signalName)
+            for key, items in self.boolDict.items():
-        return boolDict
+                if key == self.signals[0]: name = "closure"
-    
+                elif key == self.signals[1]: name =  "compression"
-    def getFloatDict (self):
+                elif key == self.signals[2]: name =  "welding"
-        floatDict = {}
+                elif key == self.signals[3]: name =  "opening"
-        for signalName in self.data.columns:
-            if type (self.data[signalName].iloc[0]) == np.float64:
-                floatDict[signalName] = self._getFloatChanges(signalName)
-        return floatDict
 
+                self.timingsDict[name] = []
+                len_items = len(items)
+                for i, item in enumerate(items):
+                    if item[1] == 'high':
+                        if i < len_items-1:
+                            self.timingsDict[name].append([items[i][0], items[i+1][0]])
+                        else:
+                            self.timingsDict[name].append([items[i][0], items[i][0]+0.01])
+        
+    def getBoolDict (self) -> dict:
+        return self.boolDict
     
-    def _getBoolChanges(self, signalName):
+    def getFloatDict (self) -> dict:
+        return self.floatDict
+    
+    def getRealTimings(self) -> dict:
+        return self.timingsDict
+    
+    def getMode(self) -> bool:
+        return self.theor_mode
+    
+    def _getBoolChanges(self, signalName) -> list:
         timeCode = self.data['time']
         signal_values = self.data[signalName]
         changes = []
@@ -38,7 +70,7 @@ class DiagramParser:
         return changes
     
 
-    def _getFloatChanges(self, signalName):
+    def _getFloatChanges(self, signalName) -> list:
         timeCode = self.data['time']
         signal_values = self.data[signalName]
         changes = []