style: изменил расположение слоев. поменял цвета

.gitignore

@@ -1,7 +1,9 @@
 /__pycache__
 /tck_venv
 /.venv
+/.vscode
 /.idea
 /venv
 *.txt
 *.svg
+/test.py

params/operator_params.json

@@ -1,16 +1,306 @@
 {
-    "dist_open_start_1": 0.005,
-    "dist_open_start_2": 0.005,
-    "dist_open_after_1": 0.006,
-    "dist_open_after_2": 0.006,
-    "dist_open_end_1": 0.01,
-    "dist_open_end_2": 0.05,
-    "dist_close_end_1": 0.005,
-    "dist_close_end_2": 0.005,
-    "time_wielding": 1,
-    "time_command": 0.0,
-    "time_robot_movement": 0.2,
-    "object_thickness": 0.0045,
-    "force_target": 5000,
-    "force_capture": 500
+    "distance_h_start_1": [
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003
+    ],
+    "distance_h_start_2": [
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005
+    ],
+    "distance_s_1": [
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001
+    ],
+    "distance_s_2": [
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001,
+        0.001
+    ],
+    "distance_l_1": [
+        0.02,
+        0.02,
+        0.02,
+        0.02,
+        0.02,
+        0.02,
+        0.02,
+        0.02,
+        0.02,
+        0.02,
+        0.02,
+        0.02,
+        0.02,
+        0.02
+    ],
+    "distance_l_2": [
+        0.0275,
+        0.03,
+        0.033,
+        0.033,
+        0.033,
+        0.033,
+        0.033,
+        0.033,
+        0.033,
+        0.033,
+        0.033,
+        0.033,
+        0.033,
+        0.033
+    ],
+    "distance_h_end1": [
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003,
+        0.003
+    ],
+    "distance_h_end2": [
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005,
+        0.005
+    ],
+    "time_wielding": [
+        1.332,
+        1.644,
+        1.644,
+        1.428,
+        1.284,
+        1.308,
+        1.272,
+        1.38,
+        1.416,
+        1.392,
+        1.38,
+        1.404,
+        1.452,
+        1.452
+    ],
+    "time_command": [
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0
+    ],
+    "time_robot_movement": [
+        0.314,
+        0.331,
+        0.356,
+        0.428,
+        0.418,
+        0.454,
+        0.458,
+        0.44,
+        0.49,
+        0.47,
+        0.44,
+        0.425,
+        0.464,
+        0.5
+    ],
+    "object_thickness": [
+        0.0045,
+        0.0045,
+        0.0045,
+        0.0045,
+        0.0045,
+        0.0045,
+        0.0045,
+        0.0045,
+        0.0045,
+        0.0045,
+        0.0045,
+        0.0045,
+        0.0045,
+        0.0045
+    ],
+    "force_target": [
+        5000.0,
+        5000.0,
+        5000.0,
+        5000.0,
+        5000.0,
+        5000.0,
+        5000.0,
+        5000.0,
+        5000.0,
+        5000.0,
+        5000.0,
+        5000.0,
+        5000.0,
+        5000.0
+    ],
+    "force_capture": [
+        500.0,
+        500.0,
+        500.0,
+        500.0,
+        500.0,
+        500.0,
+        500.0,
+        500.0,
+        500.0,
+        500.0,
+        500.0,
+        500.0,
+        500.0,
+        500.0
+    ],
+    "Tesla closing": [
+        0.216,
+        0.228,
+        0.252,
+        0.216,
+        0.228,
+        0.216,
+        0.228,
+        0.228,
+        0.228,
+        0.216,
+        0.228,
+        0.216,
+        0.216,
+        0.216
+    ],
+    "Tesla squeeze": [
+        0.276,
+        0.288,
+        0.264,
+        0.264,
+        0.276,
+        0.276,
+        0.312,
+        0.276,
+        0.24,
+        0.24,
+        0.24,
+        0.24,
+        0.24,
+        0.24
+    ],
+    "Tesla welding": [
+        1.332,
+        1.644,
+        1.644,
+        1.428,
+        1.284,
+        1.308,
+        1.272,
+        1.38,
+        1.416,
+        1.392,
+        1.38,
+        1.404,
+        1.452,
+        1.452
+    ],
+    "Tesla oncomming_relief": [
+        0.528,
+        0.528,
+        0.54,
+        0.636,
+        0.504,
+        0.468,
+        0.492,
+        0.54,
+        0.563,
+        0.588,
+        0.541,
+        0.564,
+        0.576,
+        0.507
+    ],
+    "Tesla summary time": [
+        2.34,
+        2.652,
+        2.796,
+        2.4,
+        2.208,
+        2.34,
+        2.256,
+        2.544,
+        2.405,
+        2.405,
+        2.358,
+        2.37,
+        2.442,
+        1.908
+    ]
 }

params/system_params.json

@@ -1,22 +1,62 @@
 {
-    "trace_storage_path": "D:/downloads/a22",
-    "monitor_update_period": 100,
-    "a_max_1": 5.41,
-    "v_max_1": 0.278,
-    "a_max_2": 35.81,
-    "v_max_2": 0.7,
-    "mass_1": 270,
-    "mass_2": 1,
-    "k_hardness_1": 2148570,
-    "k_hardness_2": 0,
-    "torque_max_1": 20,
-    "torque_max_2": 0,
-    "transmission_ratio_1": 0.00125,
-    "transmission_ratio_2": 1,
-    "position_start_1": 0.08,
-    "position_start_2": 0.08,
-    "k_prop": 0.05,
-    "time_capture": 100000,
-    "UML_time_scaler": 1000
-
+    "trace_storage_path": [
+        "D:/downloads/a22"
+    ],
+    "monitor_update_period": [
+        1000.0
+    ],
+    "a_max_1": [
+        7.96
+    ],
+    "v_max_1": [
+        0.499
+    ],
+    "a_max_2": [
+        35.81
+    ],
+    "v_max_2": [
+        0.75
+    ],
+    "mass_1": [
+        270.0
+    ],
+    "mass_2": [
+        1.0
+    ],
+    "k_hardness_1": [
+        2148570.0
+    ],
+    "k_hardness_2": [
+        0.0
+    ],
+    "torque_max_1": [
+        13.8
+    ],
+    "torque_max_2": [
+        0.0
+    ],
+    "transmission_ratio_1": [
+        0.00125
+    ],
+    "transmission_ratio_2": [
+        1.0
+    ],
+    "contact_distance_1": [
+        0.02
+    ],
+    "contact_distance_2": [
+        0.081
+    ],
+    "k_prop": [
+        0.075
+    ],
+    "time_capture": [
+        1000.0
+    ],
+    "UML_time_scaler": [
+        1000.0
+    ],
+    "Range ME, mm": [
+        115.0
+    ]
 }

src/OptAlgorithm/ConstantCalculator.py

@@ -1,4 +1,4 @@
-from src.OptAlgorithm.AutoConfigClass import AutoConfigClass
+from OptAlgorithm.AutoConfigClass import AutoConfigClass
 from numpy import sqrt
 
 class ConstantCalculator(AutoConfigClass):
@@ -14,8 +14,6 @@ class ConstantCalculator(AutoConfigClass):
         
     def calc(self):
         constants = {}
-        #self.smin1t = self.smin1 - self.dblock / 2
-        #self.smin2t = self.smin2 - self.dblock / 2
         constants["Fprop"] = self.k_prop * self.force_target
         constants["freq"] = sqrt(self.k_hardness_1 / self.mass_1)
         constants["eff_control"] = self.torque_max_1 / self.transmission_ratio_1

src/OptAlgorithm/OptAlgorithm.py

@@ -1,7 +1,7 @@
-from src.OptAlgorithm.PhaseCalc import PhaseCalc
-from src.OptAlgorithm.OptTimeCalculator import OptTimeCalculator
-from src.OptAlgorithm.AutoConfigClass import AutoConfigClass
-from src.OptAlgorithm.ConstantCalculator import ConstantCalculator
+from OptAlgorithm.PhaseCalc import PhaseCalc
+from OptAlgorithm.OptTimeCalculator import OptTimeCalculator
+from OptAlgorithm.AutoConfigClass import AutoConfigClass
+from OptAlgorithm.ConstantCalculator import ConstantCalculator
 
 from numpy import cos, sin, sqrt, cbrt, arcsin
 
@@ -16,16 +16,18 @@ class OptAlgorithm(AutoConfigClass):
 
         calc = OptTimeCalculator(operator_config, system_config)
 
-        self.Ts = calc.T(self.dist_open_start_1,
-                         self.dist_open_start_2,
-                         self.dist_open_after_1,
-                         self.dist_open_after_2,
-                         self.dist_open_end_1,
-                         self.dist_open_end_2)
+        self.Ts = calc.T(self.distance_h_start_1,
+                         self.distance_h_start_2,
+                         self.distance_s_1,
+                         self.distance_s_2,
+                         self.distance_l_1,
+                         self.distance_l_2)
         
+        self.x1_start = self.contact_distance_1 - self.distance_h_start_1
+        self.x2_start = self.contact_distance_2 - self.distance_h_start_2
         
-        self.x1Contact = self.dist_open_start_1 + self.position_start_1
-        self.x2Contact = self.dist_open_start_2 + self.position_start_2
+        self.x1_contact = self.contact_distance_1
+        self.x2_contact = self.contact_distance_2
         
         self.pos0s, self.movementV0s = calc.Tmovement(self.getSpecific, self.getMarkOpen())
         
@@ -46,8 +48,7 @@ class OptAlgorithm(AutoConfigClass):
         
         t2 = max(t - self.Ts["tclose_1_acc"], 0)
         x1 = self.a_max_1 * self.Ts["tclose_1_acc"] * t2
-        
-        return x0 + x1 + self.position_start_1
+        return x0 + x1 + self.x1_start
         
     def V2Close(self, t: float):
         if t < self.Ts["tclose_2_acc"]:
@@ -68,7 +69,7 @@ class OptAlgorithm(AutoConfigClass):
         t3 = max(min(t - self.Ts["tclose_2_speed"]- self.Ts["tclose_2_acc"], self.Ts["tclose_2_acc"]), 0)
         x2 = self.a_max_2 * self.Ts["tclose_2_acc"] * t3 - self.a_max_2 * t3 * t3 / 2
         
-        return x0 + x1 + x2 + self.position_start_2
+        return x0 + x1 + x2 + self.x2_start
         
     def FClose(self, t: float):
         return 0
@@ -95,7 +96,7 @@ class OptAlgorithm(AutoConfigClass):
     def X1Grow(self, t: float):
         F = self.FGrow(t)
         x = F / self.k_hardness_1
-        return x + self.x1Contact
+        return x + self.x1_contact
         
     def V2Grow(self, t: float):
         """
@@ -109,7 +110,7 @@ class OptAlgorithm(AutoConfigClass):
         Считается, что верхний электрод не влияет на набор усилия,
         функция не реализована!, возвращает 0. Устанавливайте kturn = 0
         """
-        return self.x2Contact
+        return self.x2_contact
         
     def FGrow(self, t: float):
         v0 = self.a_max_1 * self.Ts["tclose_1_acc"]
@@ -161,7 +162,7 @@ class OptAlgorithm(AutoConfigClass):
         t3 = max(min(t - self.Ts["topen_1_speed"]- self.Ts["topen_1_acc"], self.Ts["topen_1_acc"]), 0)
         x2 = -self.a_max_1 * self.Ts["topen_1_acc"] * t3 + self.a_max_1 * t3 * t3 / 2
         
-        return xm + x0 + x1 + x2 + self.x1Contact
+        return xm + x0 + x1 + x2 + self.x1_contact
         
     def V2Open(self, t: float):
         
@@ -187,18 +188,18 @@ class OptAlgorithm(AutoConfigClass):
         t3 = max(min(t - self.Ts["topen_2_speed"]- self.Ts["topen_2_acc"], self.Ts["topen_2_acc"]), 0)
         x2 = -self.a_max_2 * self.Ts["topen_2_acc"] * t3 + self.a_max_2 * t3 * t3 / 2
         
-        return x0 + x1 + x2 + self.x2Contact
+        return x0 + x1 + x2 + self.x2_contact
         
     def FOpen(self, t: float):
         x1 = self.X1Open(t)
         x2 = self.X2Open(t)
-        F = self.k_hardness_1 * max(0, (x1 - self.x1Contact))
+        F = self.k_hardness_1 * max(0, (x1 - self.x1_contact))
         return F
     
     def FMovement(self, t: float):
         x1 = self.X1Movement(t)
         x2 = self.X2Movement(t)
-        F = self.k_hardness_1 * max(0, (x1 - self.x1Contact))
+        F = self.k_hardness_1 * max(0, (x1 - self.x1_contact))
         return F
     
     def X1Movement(self, t: float):

src/OptAlgorithm/OptTimeCalculator.py

@@ -1,7 +1,7 @@
 from numpy import sqrt, arcsin, arccos, cos, sin
 
-from src.OptAlgorithm.AutoConfigClass import AutoConfigClass
-from src.OptAlgorithm.ConstantCalculator import ConstantCalculator
+from OptAlgorithm.AutoConfigClass import AutoConfigClass
+from OptAlgorithm.ConstantCalculator import ConstantCalculator
 
 class OptTimeCalculator(AutoConfigClass):
     
@@ -19,7 +19,7 @@ class OptTimeCalculator(AutoConfigClass):
         v0q = min(sqrt(2 * self.a_max_1 * h1), self.v_max_1)
         v0 = min(v0q, sqrt(1/(self.k_hardness_1*self.mass_1))* self.Ftogrow)
         t1 = v0 / self.a_max_1
-        t2t = max(0, (h1 - (self.a_max_1 * t1 * t1 /2)) / v0q)
+        t2t = max(0, (h1 - (self.a_max_1 * t1 * t1 /2)) / v0)
         T1 = t1 + t2t
         
         t21 = sqrt(h2/self.a_max_2)
@@ -67,10 +67,10 @@ class OptTimeCalculator(AutoConfigClass):
         
         if s1 >= l1:
             raise Exception("""S1 >= L1 - недопустимый сценарий,
-                            проверьте dist_open_after_1, dist_close_end_1""")
+                            проверьте distance_s_1, distance_h_end1""")
         if s2 >= l2:
             raise Exception("""S2 >= L2 - недопустимый сценарий,
-                            проверьте dist_open_after_2, dist_close_end_2""")
+                            проверьте distance_s_2, distance_h_end2""")
             
         s1 += Fs1
         topen_1_mark = sqrt(2 * s1 / self.a_max_1)
@@ -134,23 +134,23 @@ class OptTimeCalculator(AutoConfigClass):
         return self.allTimes
     
     def Tmovement(self, closeAlgo, tmark) -> None:
-        contact = [self.dist_open_start_1 + self.position_start_1, self.dist_open_start_2 + self.position_start_2]
+        contact = [self.contact_distance_1, self.contact_distance_2]
         v0s = []
         pos0s = []
         for i in range(1,3): 
             if tmark < 0:
                 raise Exception("""Отрицательное время этапа раскрытия, 
-                                проверьте dist_open_after_{1,2}, time_command""")
+                                проверьте distance_s_{1,2}, time_command""")
             v0 = closeAlgo("V"+str(i), "Open", tmark)
             v0s.append(v0)
             x0 = closeAlgo("X"+str(i), "Open", tmark)
-            x1 = contact[i-1] - self.__dict__["dist_close_end_"+str(i)]
+            x1 = contact[i-1] - self.__dict__["distance_h_end"+str(i)]
             x = x1 - x0
             pos0s.append(closeAlgo("X"+str(i), "Open", tmark))
             Tfull = self.time_robot_movement
             
             
-            L = self.__dict__["dist_open_end_"+str(i)]
+            L = self.__dict__["distance_l_"+str(i)]
             maxL = contact[i-1] - L - x0
             self.Tmovementi(i, x, Tfull, v0, maxL)
         return pos0s, v0s
@@ -164,7 +164,7 @@ class OptTimeCalculator(AutoConfigClass):
         sqrtval = a**2 * (a**2 * (Tfull+2*t3)**2 - 8 * a * Sfull + 2 * a* v0 * (Tfull+2*t3) - 3 *v0**2)
         if sqrtval < 0:
             raise Exception("""Невозможно с S_{i} добраться но H*_{i} за указанное время, 
-                            проверьте dist_open_after_{i}, dist_close_end_{i}, time_command, time_robot_movement""")
+                            проверьте distance_s_{i}, distance_h_end{i}, time_command, time_robot_movement""")
         t1max = ((Tfull+2*t3) + v0/a)/(2) - sqrt(sqrtval) * sqrt(2)/(4*a**2)
         t1 = min(t1max, (vmax- abs(v0))/a)
         t1 = max(0, min(t1, -v0/a + sqrt(v0**2 / (a**2) + (abs(maxL)-v0*v0/a)/a)))
@@ -204,27 +204,29 @@ class OptTimeCalculator(AutoConfigClass):
         self.allTimes["tmovement"] = T
         
     def calcFirstClose(self, T : float, s : float) -> tuple[float, float]:
+        v0q = min(sqrt(2 * self.a_max_1 * s), self.v_max_1)
+        v0 = min(v0q, sqrt(1/(self.k_hardness_1*self.mass_1))* self.Ftogrow)
         t1 = T - sqrt(max(0, T**2 - 2 * s / self.a_max_1))
-        t1 = min(t1, self.v_max_1 / self.a_max_1)
-        t2 = sqrt(max(0, T**2 - 2 * s / self.a_max_1))
+        t1 = min(t1, v0 / self.a_max_1)
+        t2 = max(0, (s - self.a_max_1*t1**2/2) / (self.a_max_1*t1))
         return t1, t2
     
     def calcFirstOpen(self, T : float, s : float) -> tuple[float, float]:
         t1 = T / 2 - sqrt(max(0, T**2 - 4 * s / self.a_max_1)) / 2
         t1 = min(t1, self.v_max_1 / self.a_max_1)
-        t2 = sqrt(max(0, T * T - 4 * s / self.a_max_1))
+        t2 = max(0, (s - self.a_max_1*t1**2/2) / (self.a_max_1*t1))
         return t1, t2
         
     def calcSecondOpen(self, T : float, s : float) -> tuple[float, float]:
         t1 = T / 2 - sqrt(max(0, T**2 - 4 * s / self.a_max_2)) / 2
         t1 = min(t1, self.v_max_2 / self.a_max_2)
-        t2 = sqrt(max(0, T * T - 4 * s / self.a_max_2))
+        t2 = max(0, (s - self.a_max_2*t1**2/2) / (self.a_max_2*t1))
         return t1, t2
     
     def calcSecondClose(self, T : float, s : float) -> tuple[float, float]:
         t1 = T / 2 - sqrt(max(0, T**2 - 4 * s / self.a_max_2)) / 2
         t1 = min(t1, self.v_max_2 / self.a_max_2)
-        t2 = sqrt(max(0, T * T - 4 * s / self.a_max_2))
+        t2 = max(0, (s - self.a_max_2*t1**2/2) / (self.a_max_2*t1))
         return t1, t2
     
     def calcSecondOpenOffset(self, t1 : float, t2 : float, sq : float) -> float:

src/controller/controller.py

@@ -1,16 +1,20 @@
 from PyQt5.QtWidgets import QWidget
 from PyQt5.QtCore import pyqtSignal
 
-from src.utils.base.base import BaseController
+from utils.base.base import BaseController
 
 
 class Controller(BaseController):
 
     signal_widgets = pyqtSignal(list)
     signal_settings = pyqtSignal(list)
+    signal_monitor = pyqtSignal(str)
 
     def send_widgets(self, widgets: list[QWidget]) -> None:
         self.signal_widgets.emit(widgets)
     
     def push_settings(self, settings: list[dict]) -> None:
         self.signal_settings.emit(settings)
+
+    def open_custom_file (self, filepath: str) -> None:
+        self.signal_monitor.emit(filepath)

src/controller/converter.py

@@ -3,7 +3,7 @@ import pandas as pd
 #FIXME: костыль для выключения предупреждения "replace deprecated". Потом надо поправить.
 pd.set_option('future.no_silent_downcasting', True)
 
-from src.utils.base.base import BaseDataConverter
+from utils.base.base import BaseDataConverter
 
 
 class DataConverter(BaseDataConverter):

src/controller/mediator.py

@@ -3,18 +3,22 @@ import pandas as pd
 from typing import Union
 from PyQt5.QtWidgets import QWidget
 
-from src.utils.base.base import BaseMediator, BaseDirectoryMonitor, BaseDataConverter, BasePlotWidget
+from utils.base.base import BaseMediator, BaseDirectoryMonitor, BaseDataConverter, BasePlotWidget, BasePointPassportFormer
 
 
 class Mediator(BaseMediator):
 
     def notify(self,
-               source: Union[BaseDirectoryMonitor, BaseDataConverter, BasePlotWidget],
-               data: Union[list[str], list[pd.DataFrame], list[QWidget]]):
+               source: Union[BaseDirectoryMonitor, BaseDataConverter, BasePointPassportFormer, BasePlotWidget],
+               data: Union[list[str], list[pd.DataFrame], list[list], list[QWidget]]):
+        
         if issubclass(source.__class__, BaseDirectoryMonitor):
             self._converter.convert_data(data)
 
         if issubclass(source.__class__, BaseDataConverter):
+            self._passportFormer.form_passports(data)
+
+        if issubclass(source.__class__, BasePointPassportFormer):
             self._plot.build(data)
 
         if issubclass(source.__class__, BasePlotWidget):
@@ -22,7 +26,7 @@ class Mediator(BaseMediator):
         
     def push_settings(self, settings: list[dict]):
         self._monitor.update_settings(settings)
-        self._plot.update_settings(settings)
+        self._passportFormer.update_settings(settings)
         self._monitor.force_all_dir()
 
 

src/controller/monitor.py

@@ -3,7 +3,7 @@ import os
 
 from loguru import logger
 
-from src.utils.base.base import BaseDirectoryMonitor
+from utils.base.base import BaseDirectoryMonitor
 
 
 class DirectoryMonitor(BaseDirectoryMonitor):
@@ -29,8 +29,8 @@ class DirectoryMonitor(BaseDirectoryMonitor):
     def update_settings(self, data: list[dict]) -> None:
         self.stop()
         operator_params, system_params = data
-        self._directory_path = system_params['trace_storage_path']
-        self._update_time = system_params['monitor_update_period']
+        self._directory_path = system_params['trace_storage_path'][0]
+        self._update_time = system_params['monitor_update_period'][0]
         self._init_state()
         self.start()
 
@@ -47,5 +47,9 @@ class DirectoryMonitor(BaseDirectoryMonitor):
         else:
             logger.info(f"Failed pushing {str(all_files)}")
 
-
+    def custom_dir_extract(self, dict_path:str ):
+        files = os.listdir(dict_path)
+        if files is not None:
+            all_files = [os.path.join(dict_path, file) for file in files]
+            self._mediator.notify(self, all_files)
 

src/controller/passportFormer.py

@@ -0,0 +1,84 @@
+from utils.base.base import BasePointPassportFormer, BaseIdealDataBuilder
+import pandas as pd
+
+
+
+class idealDataBuilder(BaseIdealDataBuilder):
+    def get_closingDF(self) -> pd.DataFrame:
+        return self._get_data(self.Ts['tclose'], self.calcPhaseClose)
+    
+    def get_compressionDF(self) -> pd.DataFrame:
+        return self._get_data(self.Ts['tgrow'], self.calcPhaseGrow)
+    
+    def get_openingDF(self) -> pd.DataFrame:
+        return self._get_data(self.getMarkOpen(), self.calcPhaseOpen)
+    
+    def get_oncomingDF(self) -> pd.DataFrame:
+        return self._get_data(self.Ts['tmovement'], self.calcPhaseMovement)
+
+    def get_weldingDF(self) -> pd.DataFrame:
+        data = []
+        X1, X2, V1, V2, F = self.calcPhaseGrow(self.Ts['tgrow'])
+        data.append({"time":0, "Position FE":X1,"Position ME":X2, "Rotor Speed FE":V1, "Rotor Speed ME":V2, "Force":F})
+        data.append({"time":self.welding_time, "Position FE":X1,"Position ME":X2, "Rotor Speed FE":V1, "Rotor Speed ME":V2, "Force":F})
+        return pd.DataFrame(data)
+    
+    def get_ideal_timings(self) -> list[float]:
+        data = self.Ts
+        ideal_timings = [data['tclose'], data['tgrow'], self.welding_time, self.getMarkOpen(), data['tmovement']] # TODO: add data['tmovement'], Oncoming не учитывается в производительности
+        return ideal_timings
+    
+class PassportFormer(BasePointPassportFormer):
+  
+    def form_passports(self, data: list[pd.DataFrame]) -> list[list[pd.DataFrame, dict, int]]:
+        return_data = [self._build_passports_pocket(dataframe) for dataframe in data]
+        self._mediator.notify(self, return_data)
+            
+
+    def _build_passports_pocket(self, dataframe: pd.DataFrame) -> list[pd.DataFrame, dict, int]:
+        events, point_quantity = self._filter_events(dataframe["time"], dataframe)
+        if point_quantity == 0:
+            return []
+        
+        system_settings = {key: value[0] for key, value in self._params[1].items()}
+
+        tesla_time = sum(self._params[0].get("Tesla summary time", []))
+        useful_data = {"tesla_time": tesla_time,
+                        "range_ME": system_settings["Range ME, mm"],
+                        "k_hardness": system_settings["k_hardness_1"]
+                        }
+
+        points_pocket = []
+
+        time_is_valid = not dataframe["time"].isna().all()
+        
+        if time_is_valid: 
+
+            idx_shift = True if events[self._stages[-1]][0][0] == 0 else False
+            
+            for i in range(point_quantity):
+                operator_settings = {
+                    key: (value[i] if i < len(value) else value[0])
+                    for key, value in self._params[0].items()
+                }
+                params_list = [operator_settings, system_settings]
+                cache_key = self._generate_cache_key(params_list)
+                if cache_key in self._ideal_data_cashe :
+                    ideal_data = self._ideal_data_cashe[cache_key]
+                    print(f"Cache hit")
+                else:
+                    ideal_data = self._build_ideal_data(idealDataBuilder=idealDataBuilder, params=params_list)
+                    self._ideal_data_cashe[cache_key] = ideal_data
+                    print(f"Cache miss. Computed and cached.")
+                idx = i+1 if idx_shift else i
+                point_timeframe = [events[self._stages[0]][0][i], events[self._stages[-1]][1][idx]]
+                point_events = {key: [value[0][i], value[1][i]] for key, value in events.items()}
+                useful_p_data = {"thickness": operator_settings["object_thickness"],
+                                    "L2": operator_settings["distance_l_2"],
+                                    "force": operator_settings["force_target"]}
+
+                points_pocket.append([point_timeframe, ideal_data, point_events, useful_p_data])
+            return dataframe, points_pocket, useful_data
+            
+    def update_settings(self, params: list[dict, dict]):
+        self._params = params

src/gui/mainGui.py

@@ -3,8 +3,8 @@ from typing import Optional
 
 from PyQt5 import QtWidgets
 from PyQt5.QtCore import Qt
-from src.utils.base.base import BaseMainWindow, BaseController
-from src.gui.settings_window import settingsWindow
+from utils.base.base import BaseMainWindow, BaseController
+from gui.settings_window import settingsWindow
 
 class MainWindow(BaseMainWindow):
     def __init__(self, 
@@ -14,8 +14,9 @@ class MainWindow(BaseMainWindow):
         self.initUI()
         self.set_style(self)
         self.settings_button.clicked.connect(self._show_settings)
-        self.operSettings = settingsWindow("params\operator_params.json", 'Operator', self._updater_trigger)
-        self.sysSettings = settingsWindow("params\system_params.json", 'System', self._updater_trigger)
+        self.select_dir_button.clicked.connect(self._select_dir)
+        self.operSettings = settingsWindow("params/operator_params.json", 'Operator', self._updater_trigger)
+        self.sysSettings = settingsWindow("params/system_params.json", 'System', self._updater_trigger)
 
     def initUI(self) -> None:
         self.tabWidget = QtWidgets.QTabWidget()
@@ -23,9 +24,17 @@ class MainWindow(BaseMainWindow):
         self.tabWidget.tabCloseRequested.connect(self._close_tab)
         layout = QtWidgets.QVBoxLayout()
         layout.addWidget(self.tabWidget)
+
         self.settings_button = QtWidgets.QPushButton("Show settings")
         self.settings_button.setFixedWidth(160)
-        layout.addWidget(self.settings_button)
+        self.select_dir_button = QtWidgets.QPushButton("Open directory")
+        self.select_dir_button.setFixedWidth(175)
+        button_layout = QtWidgets.QHBoxLayout()
+        button_layout.setSpacing(2)
+        button_layout.addWidget(self.settings_button)
+        button_layout.addWidget(self.select_dir_button)
+
+        layout.addLayout(button_layout)
         self.setLayout(layout)
 
     def show_plot_tabs(self, plot_widgets: list[QtWidgets.QWidget]) -> None:
@@ -45,7 +54,7 @@ class MainWindow(BaseMainWindow):
 
     def keyPressEvent(self, a0):
         if a0.key() == Qt.Key_F5:
-            self.clear()
+            pass
 
     def _show_settings(self):
         self.operSettings.show()
@@ -63,6 +72,10 @@ class MainWindow(BaseMainWindow):
     def _close_tab(self, index:int) -> None:
         self.tabWidget.removeTab(index)
     
+    def _select_dir(self):
+        folder_path = QtWidgets.QFileDialog.getExistingDirectory(self, 'Select directory', "")
+        if folder_path:
+            self._controller.open_custom_file(folder_path)
 
 
 

src/gui/plotter.py

@@ -1,210 +1,351 @@
 import pandas as pd
-from PyQt5.QtWidgets import QWidget, QVBoxLayout, QLabel
+from PyQt5.QtWidgets import QWidget, QVBoxLayout, QLabel, QGraphicsRectItem
+import copy
+
+
 import pyqtgraph as pg
-import numpy as np
-from numpy import floating
-from typing import Optional, Any, NamedTuple
+from typing import Optional, Any
 
-from src.utils.base.base import BasePlotWidget
-from src.utils.base.base import BaseIdealDataBuilder
-
-
-class idealDataBuilder(BaseIdealDataBuilder):
-    def get_closingDF(self) -> pd.DataFrame:
-        return self._get_data(self.Ts['tclose'], self.calcPhaseClose)
-    
-    def get_compressionDF(self) -> pd.DataFrame:
-        return self._get_data(self.Ts['tgrow'], self.calcPhaseGrow)
-    
-    def get_openingDF(self) -> pd.DataFrame:
-        return self._get_data(self.getMarkOpen(), self.calcPhaseOpen)
-    
-    def get_oncomingDF(self) -> pd.DataFrame:
-        return self._get_data(self.Ts['tmovement'], self.calcPhaseMovement)
-
-    def get_weldingDF(self) -> pd.DataFrame:
-        data = []
-        X1, X2, V1, V2, F = self.calcPhaseGrow(self.Ts['tgrow'])
-        data.append({"time":0, "Posicion FE":X1,"Posicion ME":X2, "Rotor Speed FE":V1, "Rotor Speed ME":V2, "Force":F}) 
-        data.append({"time":self.welding_time, "Posicion FE":X1,"Posicion ME":X2, "Rotor Speed FE":V1, "Rotor Speed ME":V2, "Force":F}) 
-        return pd.DataFrame(data)
-    
-    def get_ideal_timings(self) -> list[float, float, float, float]:
-        data = self.Ts
-        ideal_timings = [data['tclose'], data['tgrow'], self.welding_time, self.getMarkOpen()] # TODO: add data['tmovement'], Oncoming не учитывается в производительности
-        return ideal_timings
-
-
-class ProcessStage(NamedTuple):
-    mean_value: floating[Any]
-    start_index: int
-    finish_index: int
+from utils.base.base import BasePlotWidget
 
+class ProcessStage():
+    mean_value:int
+    start_index:int
+    finish_index:int
 
 class PlotWidget(BasePlotWidget):
+
+    def _create_navigator(self, 
+                        time_region:tuple[float, float],
+                        main_plot: pg.PlotWidget,
+                        dataframe: pd.DataFrame,
+                        real_signals: list[dict[str, Any]]) -> list[pg.PlotWidget, pg.LinearRegionItem]:
+        """
+        Создаёт график-навигатор, отображающий все данные в уменьшенном масштабе.
+        """
+        navigator = pg.PlotWidget(title="Navigator")
+        navigator.setFixedHeight(100) 
+
+        for signal in real_signals:
+            if signal["name"] in dataframe.columns:
+                x = dataframe["time"]
+                y = dataframe[signal["name"]]
+                
+                x_downsampled, y_downsampled = self._downsample_data(x, y, max_points=1000)
+                navigator.plot(x_downsampled, y_downsampled, pen=signal["pen"], name=signal["name"])
+
+        ROI_region = pg.LinearRegionItem(values=time_region, movable=True, brush=pg.mkBrush(0, 0, 255, 100))
+        navigator.addItem(ROI_region)
+
+        # Связываем изменение региона навигатора с обновлением области просмотра основного графика
+        ROI_region.sigRegionChanged.connect(lambda: self._sync_main_plot_with_navigator(main_plot, ROI_region))
+
+        return navigator, ROI_region
+
+    def _downsample_data(self, x, y, max_points=5000):
+        """
+        Понижает разрешение данных до заданного количества точек для улучшения производительности навигатора.
+        """
+        if len(x) > max_points:
+            factor = len(x) // max_points
+            x_downsampled = x[::factor]
+            y_downsampled = y[::factor]
+            return x_downsampled, y_downsampled
+        return x, y
+
+    def _sync_main_plot_with_navigator(self, 
+                                    main_plot: pg.PlotWidget,
+                                    region: pg.LinearRegionItem):
+        """
+        Синхронизирует область просмотра основного графика с регионом навигатора.
+        """
+        x_min, x_max = region.getRegion()
+        if main_plot:
+            main_plot.blockSignals(True)
+            main_plot.setXRange(x_min, x_max, padding=0)
+            main_plot.blockSignals(False)
+        
     def _create_curve_ideal(self,
-                             stage: str,
-                             signal: str, 
+                            signal: dict[str, Any],
+                            ideal_data: pd.DataFrame,
                             start_timestamp: float,
                             finish_timestamp: float) -> Optional[pg.PlotDataItem]:
-        data = self._stage_ideals[stage]
-
-        if start_timestamp and finish_timestamp:
-            plot = pg.PlotDataItem(x=start_timestamp+data["time"], y=data[signal["name"]], pen=signal["pen"])
-            return plot
+        """
+        Создаёт идеальную кривую для сигнала, если заданы корректные временные рамки.
+        """
+        if start_timestamp is not None and finish_timestamp is not None:
+            return pg.PlotDataItem(
+                x=start_timestamp + ideal_data["time"],
+                y=ideal_data[signal["name"]],
+                pen=signal["pen"]
+            )
         return None
 
     def _create_stage_region(self,
                              stage: str,
                              start_timestamp: float,
-                             finish_timestamp: float) -> Optional[pg.LinearRegionItem]:
-
-        if start_timestamp and finish_timestamp:
+                             finish_timestamp: float,
+                             transparency: int) -> Optional[pg.LinearRegionItem]:
+        """
+        Создает регион для определённого этапа, если заданы временные рамки.
+        """
+        if start_timestamp is not None and finish_timestamp is not None:
             region = pg.LinearRegionItem([start_timestamp, finish_timestamp], movable=False)
-            region.setBrush(pg.mkBrush(self._stage_colors[stage]))
+            color = self._stage_colors.get(stage, [100, 100, 100, 100])
+            region.setBrush(pg.mkBrush(color[:3] + [transparency]))
             return region
         return None
 
-    def _get_timestamp(self,
-                         stage: str,
-                         times: pd.Series,
-                         dataframe: pd.DataFrame) -> Optional[list[float]]:
-        stage_diff = np.diff(dataframe[stage])
-        start_index = np.where(stage_diff == 1)[0]
-        finish_index = np.where(stage_diff == -1)[0]
-        if start_index.size:
-            start_timestamp = times[start_index[0]]
-            finish_timestamp = times[finish_index[0]] if finish_index.size else times[len(times) - 1]
-            return start_timestamp, finish_timestamp
-        return None
-
     @staticmethod
     def _init_plot_widget(title: str) -> tuple[pg.PlotWidget, pg.LegendItem]:
         plot_widget = pg.PlotWidget(title=title)
+        # Оптимизация отображения графиков
+        plot_widget.setDownsampling(auto=True, mode='peak')
         plot_widget.showGrid(x=True, y=True)
+        plot_widget.setClipToView(True)
         legend = pg.LegendItem((80, 60), offset=(70, 20))
         legend.setParentItem(plot_widget.graphicsItem())
         return plot_widget, legend
 
-    def get_stage_info(self,
-                       stage: str,
+    def _add_stage_regions(self,
+                           plot_widget: pg.PlotWidget,
+                           point_events: dict[str, list[float]],
+                           dataframe_headers: list[str],
+                           transparency: int = 75) -> None:
+        """
+        Добавляет регионы для реальных этапов, если все стадии есть в заголовках датафрейма.
+        """
+        stages = point_events.keys()
+        if all(stage in dataframe_headers for stage in stages):
+            for stage in stages:
+                start_t, end_t = point_events[stage]
+                region = self._create_stage_region(stage, start_t, end_t, transparency)
+                if region is not None:
+                    region.setZValue(-20)
+                    plot_widget.addItem(region)
+
+    def _add_ideal_stage_regions(self,
+                                 plot_widget: pg.PlotWidget,
+                                 ideal_data: dict[str, Any],
+                                 point_events: dict[str, list[float]],
+                                 transparency: int = 125) -> None:
+        """
+        Добавляет регионы для идеальных этапов.
+        """
+        ideal_timings = ideal_data["Ideal timings"]
+        stages = list(point_events.keys())
+        for i, stage in enumerate(stages):
+            start_t = point_events[stage][0]
+            end_t = start_t + ideal_timings[i]
+            region = self._create_stage_region(stage, start_t, end_t, transparency)
+            if region:
+                region.setZValue(-10)
+                plot_widget.addItem(region)
+
+    def _add_ideal_signals(self,
+                           plot_widget: pg.PlotWidget,
+                           ideal_data: dict[str, Any],
+                           point_events: dict[str, list[float]],
+                           ideal_signals: list[dict[str, Any]]) -> None:
+        """
+        Добавляет идеальные сигналы для каждого этапа.
+        """
+        for stage in point_events.keys():
+            for signal in ideal_signals:
+                curve = self._create_curve_ideal(
+                    signal,
+                    ideal_data[stage],
+                    point_events[stage][0],
+                    point_events[stage][1]
+                )
+                if curve:
+                    curve.setZValue(10)
+                    plot_widget.addItem(curve)
+
+    def _add_real_signals(self,
+                          plot_widget: pg.PlotWidget,
                           dataframe: pd.DataFrame,
-                       signal_name: str) -> Optional[ProcessStage]:
-        if stage in self._stages:
-            stage_diff = np.diff(dataframe[stage])
-            start_index = np.where(stage_diff == 1)[0]
-            finish_index = np.where(stage_diff == -1)[0]
-
-            data = dataframe[signal_name] if signal_name in dataframe.columns.tolist() else []
-
-            if data.size and start_index.size:
-                start = start_index[0]
-                finish = finish_index[0] if finish_index.size else (len(data) - 1)
-                data_slice = data[start:finish]
-                mean = np.mean(data_slice)
-                return ProcessStage(mean_value=mean, start_index=int(start), finish_index=int(finish))
-            return None
-        
-    def _build_widget(self, dataframe: pd.DataFrame) -> QWidget:
-        widget = QWidget()
-        layout = QVBoxLayout()
-
-        time_axis = dataframe["time"]
+                          real_signals: list[dict[str, Any]],
+                          legend: pg.LegendItem) -> None:
+        """
+        Добавляет реальные сигналы из dataframe на виджет.
+        """
         dataframe_headers = dataframe.columns.tolist()
-
-        for channel, description in self._plt_channels.items():
-            plot_widget, legend = self._init_plot_widget(title=channel)
-
-            settings = description["Settings"]
-            if settings["stages"] and all([stage in dataframe_headers for stage in self._stages]):
-                for stage in self._stages:
-                    start_timestamp, finish_timestamp = self._get_timestamp(stage, time_axis, dataframe)
-                    region = self._create_stage_region(stage, start_timestamp, finish_timestamp)
-                    if region:
-                        plot_widget.addItem(region)
-                    
-                    for signal in description["Ideal_signals"]:
-                        ideal_plot = self._create_curve_ideal(stage, signal, start_timestamp, finish_timestamp)
-                        if ideal_plot:
-                            plot_widget.addItem(ideal_plot)
-
-                end_timestamp = time_axis[len(time_axis) - 1]
-                region = self._create_stage_region("Oncoming", finish_timestamp, end_timestamp)
-                if region:
-                        plot_widget.addItem(region)
-
-                for signal in description["Ideal_signals"]:
-                    ideal_plot = self._create_curve_ideal("Oncoming", signal, finish_timestamp, end_timestamp)
-                    if ideal_plot:
-                            plot_widget.addItem(ideal_plot)
-
-            if settings["performance"] and all([stage in dataframe_headers for stage in self._stages]):
-                delta_timestamp = 0
-                for stage in self._stages:
-                    start_timestamp, finish_timestamp = self._get_timestamp(stage, time_axis, dataframe)
-                    delta_timestamp += finish_timestamp - start_timestamp
-
-                ideal_delta = self._opt.get_cycle_time()
-                performance = round(ideal_delta/delta_timestamp*100, 2)
-                performance_label = QLabel(f"Performance = {performance} %")
-                layout.addWidget(performance_label)
-
-            if settings["zoom"]:
-                if max(time_axis) < 5.0:
-                    stages = [self.get_stage_info("Welding",
-                                                  dataframe,
-                                                  signal["name"]) for signal in description["Real_signals"]]
-                    if stages:
-                        means_raw = [stage.mean_value for stage in stages]
-                        mean = max(means_raw)
-                        start = time_axis[stages[0].start_index]
-                        finish = time_axis[stages[0].finish_index]
-
-                        overshoot = pg.BarGraphItem(x0=0,
-                                                    y0=mean - mean * 0.05,
-                                                    height=mean * 0.05 * 2,
-                                                    width=start,
-                                                    brush=pg.mkBrush([0, 250, 0, 100]))
-                        plot_widget.addItem(overshoot)
-
-                        stable = pg.BarGraphItem(x0=start,
-                                                 y0=mean - mean * 0.015,
-                                                 height=mean * 0.015 * 2,
-                                                 width=finish - start,
-                                                 brush=pg.mkBrush([0, 250, 0, 100]))
-                        plot_widget.addItem(stable)
-
-                        plot_widget.setYRange(mean - 260, mean + 260)
-                        plot_widget.setInteractive(False)
-                else:
-                    max_value = min([max(dataframe[signal["name"]]) for signal in description["Real_signals"]])
-                    region = pg.LinearRegionItem([max_value - max_value * 0.015,
-                                                  max_value + max_value * 0.015],
-                                                 movable=False,
-                                                 orientation="horizontal")
-
-                    region.setBrush(pg.mkBrush([0, 250, 0, 100]))
-                    plot_widget.setYRange(max_value - 200, max_value + 200)
-                    plot_widget.setXRange(3.5, 4.5)
-                    plot_widget.addItem(region)
-                    plot_widget.setInteractive(False)
-
-            for signal in description["Real_signals"]:
+        for signal in real_signals:
             if signal["name"] in dataframe_headers:
-                    plot = plot_widget.plot(time_axis, dataframe[signal["name"]], pen=signal["pen"])
+                plot = plot_widget.plot(dataframe["time"], dataframe[signal["name"]], pen=signal["pen"], fast=True)
+                plot.setZValue(0)
                 legend.addItem(plot, signal["name"])
 
+    def _add_performance_label(self,
+                               layout: QVBoxLayout,
+                               TWC_time: float,
+                               ideal_time: float,
+                               tesla_time: float) -> None:
+        """
+        Добавляет QLabel с информацией о производительности.
+        """
+        tesla_TWC = round((1 - TWC_time/tesla_time)*100, 2) if tesla_time else 0.0
+        tesla_ideal = round((1 - ideal_time/tesla_time)*100, 2) if tesla_time else 0.0
+        TWC_ideal = round((ideal_time/TWC_time)*100, 2) if TWC_time else 0.0
+
+        performance_label = QLabel(
+            f"Сокращение длительности: фактическое = {tesla_TWC} %, "
+            f"идеальное = {tesla_ideal} %; КДИП = {TWC_ideal}%"
+        )
+        self.set_style(performance_label)
+        layout.addWidget(performance_label)
+        performance_label.update()
+
+    def _mirror_shift_data(self,
+                           valid_str: str,
+                           signals: list[dict],
+                           dataframe: pd.DataFrame, 
+                           shift: float) -> pd.DataFrame:
+        keys = dataframe.keys()
+        for signal in signals:
+            if valid_str in signal["name"] and signal["name"] in keys:
+                dataframe[signal["name"]] = dataframe[signal["name"]].apply(lambda x: shift-x)
+        return dataframe
+    
+    def _shift_data(self,
+                    valid_str: str,
+                    signals: list[dict],
+                    dataframe: pd.DataFrame, 
+                    shift: float) -> pd.DataFrame:
+        keys = dataframe.keys()
+        for signal in signals:
+            if valid_str in signal["name"] and signal["name"] in keys:
+                dataframe[signal["name"]] = dataframe[signal["name"]].apply(lambda x: x + shift)
+        return dataframe
+    
+
+    def _build_widget(self, data: list[Any]) -> QWidget:
+        """
+        Собирает графический виджет для одного набора данных.
+        Параметр `data` предполагается списком: [dataframe, points_pocket, useful_data].
+        """
+        widget = QWidget()
+        layout = QVBoxLayout(widget)
+
+        dataframe, points_pocket, useful_data = data
+        tesla_time = useful_data["tesla_time"]
+        range_ME = useful_data["range_ME"]
+        k_hardness = useful_data["k_hardness"]
+        dataframe_headers = dataframe.columns.tolist()
+
+        for widget_num, (channel, description) in enumerate(self._plt_channels.items()):
+            plot_widget, legend = self._init_plot_widget(title=channel)
+            settings = description["Settings"]
+
+            TWC_time = 0.0
+            ideal_time = 0.0
+            worst_perf = 2
+            
+            # TODO: рассчитать корректный параметр range 
+            if settings["mirror ME"]:
+                dataframe = self._mirror_shift_data("ME", description["Real_signals"], dataframe, range_ME)
+
+            # Итерация по точкам
+            for cur_point, point_data in enumerate(points_pocket):
+                # point_data структура: [point_timeframe, ideal_data, point_events]
+                point_timeframe, ideal_dat, point_events, useful_p_data = point_data
+                ideal_data = copy.deepcopy(ideal_dat)
+                
+                # TODO: проверить корректность расчетов
+                if settings["force compensation FE"]:
+                    force = useful_p_data["force"]
+                    F_comp = - force/k_hardness
+                    point_idxs = dataframe[(dataframe["time"] >= point_timeframe[0]) & (dataframe["time"] <= point_timeframe[1])].index
+
+                    dataframe.loc[point_idxs] = self._shift_data("FE", description["Real_signals"], dataframe.loc[point_idxs], F_comp)
+
+                # Модифицируем данные для отображения гарфика
+                if settings["ideals"] and settings["mirror ME"]:
+                    for stage in point_events.keys():
+                        ideal_data[stage] = self._mirror_shift_data("ME", description["Ideal_signals"], ideal_data[stage], range_ME)
+
+                # Добавляем реальные стадии
+                if settings["stages"]:
+                    self._add_stage_regions(plot_widget, point_events, dataframe_headers, 75)
+
+                # TODO: подобрать не вырвеглазные цвета, возможно ограничить зону
+                if settings["workpiece"]:
+                    x1 = point_timeframe[0]
+                    dx = point_timeframe[1] - x1
+                    y1 = useful_p_data["L2"]*1000
+                    dy = useful_p_data["thickness"]*1000
+
+                    rect_item = QGraphicsRectItem(x1, y1, dx, dy)
+                    rect_item.setZValue(-5)
+                    rect_item.setBrush(pg.mkBrush('grey'))
+                    rect_item.setPen(pg.mkPen('black', width=3))
+                    plot_widget.addItem(rect_item)
+
+                # Добавляем идеальные стадии и идеальные сигналы
+                if settings["ideals"]:
+                    self._add_ideal_stage_regions(plot_widget, ideal_data, point_events, 100)
+                    self._add_ideal_signals(plot_widget, ideal_data, point_events, description["Ideal_signals"])
+
+                # Подсчёт производительности
+                if settings["performance"]:
+                    is_last_point = (cur_point == len(points_pocket) - 1)
+                    if is_last_point:
+                        TWC_delta = sum([point_events[stage][1] - point_events[stage][0] for stage in ["Closing", "Squeeze", "Welding"]])
+                        ideal_delta = sum(ideal_data["Ideal timings"][0:3])
+                    else:
+                        TWC_delta = point_timeframe[1] - point_timeframe[0]
+                        ideal_delta = ideal_data["Ideal cycle"]
+                    TWC_time += TWC_delta
+                    ideal_time += ideal_delta
+                    curr_perf = ideal_delta/TWC_delta if TWC_delta != 0 else 1
+                    if curr_perf < worst_perf:
+                        worst_perf = curr_perf
+                        worst_timeframe = point_timeframe
+
+            # Добавляем реальные сигналы
+            self._add_real_signals(plot_widget, dataframe, description["Real_signals"], legend)
+            if widget_num == 0:
+                main_plot = plot_widget
+            else:
+                # Связываем остальные графики с основным графиком
+                plot_widget.setXLink(main_plot)
+
+            # Если есть настройка производительности, добавляем label
+            if settings["performance"]:
+                self._add_performance_label(layout, TWC_time, ideal_time, tesla_time)
+                navigator, ROI_region = self._create_navigator(worst_timeframe, main_plot, dataframe, description["Real_signals"])
+            
             layout.addWidget(plot_widget)
                 
+        layout.addWidget(navigator)
+        self._sync_main_plot_with_navigator(main_plot, ROI_region)
+        main_plot.sigXRangeChanged.connect(lambda _, plot=main_plot, region=ROI_region: self._sync_navigator_with_main(main_plot=plot, region=region))
+            
         widget.setLayout(layout)
         return widget
     
-    def build(self, data: list[pd.DataFrame]) -> None:
+    def _sync_navigator_with_main(self, main_plot: pg.PlotWidget, region:pg.LinearRegionItem):
+        """
+        Синхронизирует регион навигатора с областью просмотра основного графика.
+        """
+        if region:
+            x_min, x_max = main_plot
+            region.blockSignals(True)  # Предотвращаем рекурсию
+            region.setRegion([x_min, x_max])
+            region.blockSignals(False)
+
+    def build(self, data: list[list[Any]]) -> None:
+        """
+        Создает набор виджетов по предоставленному списку данных.
+        Предполагается, что data — это список элементов вида:
+        [
+            [dataframe, points_pocket, tesla_time],
+            [dataframe, points_pocket, tesla_time],
+            ...
+        ]
+        """
         widgets = [self._build_widget(data_sample) for data_sample in data]
         self._mediator.notify(self, widgets)
 
-    def update_settings(self, data: list[dict]):
-        self._initIdealBuilder(idealDataBuilder=idealDataBuilder, data=data)
-
-
 

src/gui/settings_window.py

@@ -1,57 +1,186 @@
-import pyqtgraph as pg
-from pyqtgraph.Qt import QtWidgets
-from pyqtgraph.parametertree import Parameter, ParameterTree
+from typing import Callable, Optional, Any
+from PyQt5.QtWidgets import (
+    QWidget, QPushButton, QLineEdit, QHBoxLayout, QVBoxLayout, QLabel, QTableWidget, QTableWidgetItem
+)
+from PyQt5.QtGui import QIntValidator
 
-from src.utils.json_tools import read_json, write_json
-from src.gui import qt_settings as qts
+from utils.json_tools import read_json, write_json
+from gui import qt_settings as qts
 
-class settingsWindow(QtWidgets.QWidget):
-    def __init__(self, path: str, name: str, upd_func):
-        super(settingsWindow, self).__init__()
-        self.settingsPath = path
-        self.name = name
+class settingsWindow(QWidget):
+    def __init__(self, path: str, name: str, upd_func: Callable[[], None]):
+        """
+        Окно настроек для редактирования параметров.
+        
+        :param path: Путь к файлу настроек (JSON).
+        :param name: Название набора настроек.
+        :param upd_func: Функция обновления (коллбэк).
+        """
+        super().__init__()
+        self._settingsPath = path
+        self._name = name
+        self._data: dict[str, list[Any]] = {}
+        self._upd_func = upd_func
+
+        self._num_points: Optional[QLineEdit] = None
+        self._param_table: Optional[QTableWidget] = None
 
-        self.data = {}
-        self.params = None
         self.load_settings()
         self._init_ui()
-        self.params.sigTreeStateChanged.connect(upd_func)
 
     def load_settings(self) -> None:
-        self.data = read_json(self.settingsPath)
+        """Загружает настройки из JSON-файла."""
+        data = read_json(self._settingsPath)
+        if isinstance(data, dict):
+            self._data = data
+        else:
+            self._data = {}
 
     def write_settings(self) -> None:
-        self.getParams()
-        write_json(self.settingsPath, self.data)
-
-    def _getTreeStructure(self) -> list:
-        params = []
-        for key, value in self.data.items():
-            params.append({'name': str(key), 'type': type(value).__name__, 'value': value})
-        params.append({'name': 'Save', 'type': 'action'})
-        return params
-    
-    def _init_ui(self) -> None:
-        temp = self._getTreeStructure()
-        self.params = Parameter.create(name=self.name, type='group', children=temp)
-        self.params.param('Save').sigActivated.connect(self.write_settings)
-
-        ParamsTree = ParameterTree()
-        ParamsTree.setParameters(self.params, showTop=True)
-        layout = QtWidgets.QGridLayout()
-        layout.addWidget(ParamsTree, 0,0)
-        self.setLayout(layout)
-        self.setStyleSheet(qts.white_style)
-       # self.show()
+        """Записывает текущие настройки в JSON-файл."""
+        write_json(self._settingsPath, self._data)
 
     def getParams(self) -> dict:
-        self.data = {}
-        for p in self.params:
-            if p.name() != 'Save':
-                self.data[p.name()] = p.value()
-        return self.data
+        """Возвращает текущий словарь параметров."""
+        return self._data
+
+    def _init_ui(self) -> None:
+        """Инициализирует UI: кнопки, поля ввода, таблицу."""
+        save_button = QPushButton("Save")
+        restore_button = QPushButton("Restore")
+
+        self._num_points = QLineEdit()
+        self._num_points.setPlaceholderText("Enter the number of welding points")
+        self._num_points.setValidator(QIntValidator())
+
+        control_layout = QHBoxLayout()
+        control_layout.addWidget(save_button)
+        control_layout.addWidget(restore_button)
+        control_layout.addWidget(self._num_points)
+
+        save_button.pressed.connect(self._save)
+        restore_button.pressed.connect(self._restore)
+        self._num_points.editingFinished.connect(self._expand)
+
+        self._param_table = QTableWidget()
+        self._populate_table()
+
+        layout = QVBoxLayout()
+        header = QLabel(self._name)
+        layout.addWidget(header)
+        layout.addLayout(control_layout)
+        layout.addWidget(self._param_table)
+        self.setLayout(layout)
+        self.setStyleSheet(qts.white_style)
+
+    def _populate_table(self) -> None:
+        """Заполняет таблицу значениями из self._data."""
+        # Если нет данных для заполнения
+        if not self._data:
+            self._param_table.setRowCount(0)
+            self._param_table.setColumnCount(0)
+            return
+
+        # Предполагаем, что у всех ключей одинаковая длина списков параметров.
+        first_key = next(iter(self._data), None)
+        if first_key is None:
+            self._param_table.setRowCount(0)
+            self._param_table.setColumnCount(0)
+            return
+
+        column_count = len(self._data[first_key]) + 1
+        self._param_table.setRowCount(len(self._data))
+        self._param_table.setColumnCount(column_count)
+
+        for i, (key, items) in enumerate(self._data.items()):
+            self._param_table.setItem(i, 0, QTableWidgetItem(key))
+            for j, item in enumerate(items):
+                self._param_table.setItem(i, j+1, QTableWidgetItem(str(item)))
+
+    def _save(self) -> None:
+        """Сохраняет текущие параметры из таблицы в self._data и вызывает _upd_func()."""
+        new_data = {}
+        row_count = self._param_table.rowCount()
+        col_count = self._param_table.columnCount()
+
+        for i in range(row_count):
+            key_item = self._param_table.item(i, 0)
+            if key_item is None:
+                continue
+            key = key_item.text()
+
+            # Если ключ пустой, пропускаем
+            if not key:
+                continue
+
+            row_data = []
+            for j in range(1, col_count):
+                cell_item = self._param_table.item(i, j)
+                if cell_item is None:
+                    continue
+                param_str = cell_item.text()
+                # Если ключ не trace_storage_path, конвертируем в float
+                if key != "trace_storage_path":
+                    try:
+                        param = float(param_str)
+                    except ValueError:
+                        param = 0.0
+                else:
+                    param = param_str
+                row_data.append(param)
+
+            new_data[key] = row_data
+
+        self._data = new_data
+        self.write_settings()
+        self._upd_func()
+
+    def _restore(self) -> None:
+        """Перезагружает данные из файла и обновляет таблицу."""
+        self.load_settings()
+        self._populate_table()
+
+    def _expand(self) -> None:
+        """Расширяет количество столбцов таблицы в зависимости от введённого значения."""
+        if not self._num_points:
+            return
+
+        num_points_text = self._num_points.text()
+        if not num_points_text.isdigit():
+            return
+
+        num_points = int(num_points_text)
+        if num_points < 0:
+            return
+
+        prev_columns = self._param_table.columnCount()
+        desired_columns = num_points + 1
+
+        if desired_columns <= prev_columns:
+            return
+
+        self._param_table.setColumnCount(desired_columns)
+
+        # Новые столбцы заполняем последним известным параметром для каждого ключа
+        for i, (key, items) in enumerate(self._data.items()):
+            # Если нет данных, пропускаем
+            if not items:
+                continue
+            last_value = str(items[-1])
+            for col in range(prev_columns, desired_columns):
+                self._param_table.setItem(i, col, QTableWidgetItem(last_value))
+                # Добавляем новый элемент также в self._data для консистентности
+                # После этого можно будет сохранить при нажатии Save
+            # Дополним также и в self._data
+            additional_count = desired_columns - prev_columns
+            self._data[key].extend([float(last_value) if key != "trace_storage_path" else last_value] * additional_count)
+
+
+        
+
 
 if __name__ == '__main__':
+    import pyqtgraph as pg
     app = pg.mkQApp("Parameter Tree Example")
     window = settingsWindow('params\operator_params.json', 'operator')
     app.exec()

src/main.py

@@ -1,26 +1,31 @@
 import sys
+import pyqtgraph as pg
 from PyQt5 import QtWidgets
 
-from src.gui.mainGui import MainWindow
-from src.controller.monitor import DirectoryMonitor
-from src.controller.mediator import Mediator
-from src.controller.converter import DataConverter
-from src.gui.plotter import PlotWidget
-from src.controller.controller import Controller
+from gui.mainGui import MainWindow
+from controller.monitor import DirectoryMonitor
+from controller.mediator import Mediator
+from controller.converter import DataConverter
+from gui.plotter import PlotWidget
+from controller.controller import Controller
+from controller.passportFormer import PassportFormer
 
 
 def main():
+    pg.setConfigOptions(useOpenGL=False, antialias=False)
     app = QtWidgets.QApplication(sys.argv)
     monitor = DirectoryMonitor()
     data_converter = DataConverter()
     plot_widget_builder = PlotWidget()
     controller = Controller()
+    passport_former = PassportFormer()
     window = MainWindow(controller)
-    mediator = Mediator(monitor, data_converter, plot_widget_builder, controller)
+    mediator = Mediator(monitor, data_converter, passport_former, plot_widget_builder, controller)
     window.show()
 
     controller.signal_widgets.connect(window.show_plot_tabs)
     controller.signal_settings.connect(mediator.push_settings)
+    controller.signal_monitor.connect(monitor.custom_dir_extract)
 
     window.push_settings()
 

src/performance/performance.py

@@ -0,0 +1,25 @@
+from typing import Optional
+import os
+import numpy as np
+import pandas as pd
+
+from roboter import Performance
+
+class PerformanceProcessor:
+
+    def calc_performance(self, path:str, TWC_raw:pd.DataFrame):
+        factory = Performance()
+        comm_df, rob_df, TWC_df = factory.job(path, TWC_raw)
+        
+
+
+
+
+
+        
+
+
+
+
+if __name__ == "__main__":
+    path = "D:\downloads\Test2\TeslaTIME29_71_KRCIO.dat"

src/performance/roboter.py

@@ -0,0 +1,203 @@
+from __future__ import annotations
+from abc import ABC, abstractmethod
+from typing import Optional
+import os
+import numpy as np
+import pandas as pd
+
+
+
+class BasePerformanceFactory(ABC):
+
+    @abstractmethod
+    def factory_method(self):
+        ...
+    
+    def job(self):
+        ...
+
+    def _get_file_data(self, path) -> pd.DataFrame:
+        head, file = self._dat_parser(path)
+        self.dat_name = file[:-4]
+        path_r64 = os.path.dirname(path) + '\\' + file
+        time_axis, dataframe = self._r64_parser(path_r64, head)
+        dataframe = pd.concat([dataframe, time_axis], axis=1)
+        return dataframe
+    
+    def _dat_parser(self, path: str) -> list[dict, str]:
+        with open(path, 'r') as file:
+            head = {'channels': 0}
+            inside_channel = False
+            channels = 0
+            for line in file:
+                line = line.strip()          
+                if line == '#BEGINCHANNELHEADER' or line == "#BEGINGLOBALHEADER":
+                    inside_channel = True
+                    
+                elif line == '#ENDCHANNELHEADER' or line == "#ENDGLOBALHEADER":
+                    inside_channel = False
+                    pass
+                # Формирование словаря
+                elif inside_channel:
+                    _, data = line.split(',')
+                    match _:
+                        case '102':
+                            head['rob_id'] = data
+                        case '200':
+                            ch_name = data
+                            if ch_name != 'Zeit': channels +=1
+                            head[ch_name] = {}
+                        case '202':
+                            head[ch_name]['unit'] = data
+                        case '211':
+                            file = data
+                        case '220':
+                            head[ch_name]['len'] = int(data)
+                        case '221':
+                            head[ch_name]['num'] = int(data)
+                        case '241':
+                            head[ch_name]['multiplyer'] = float(data)
+            head['channels'] = int(channels)
+        return head, file
+
+    def _r64_parser(self, path: str, head: dict) -> Optional[list[pd.Series, pd.DataFrame]]:
+        ch = head['channels']
+        keys = list(head.keys())[-ch:]
+        len_timestamps = head['Zeit']['len']
+        t_step = head['Zeit']['multiplyer']
+        time_axis = pd.Series(np.arange(0, len_timestamps*t_step, t_step))
+        time_axis.name = 'time'
+        dataframe = pd.DataFrame({})
+        with open(path, 'rb') as file:
+            data = file.read()
+            floats = np.frombuffer(data, dtype='<d')  # Little-endian double
+        for key in keys:
+            step = head[key]['num']-1
+            result = pd.Series(np.array(floats[step::ch])* head[key]['multiplyer'])
+            result.name = key
+            dataframe = pd.concat([dataframe, result], axis=1)
+        return time_axis, dataframe
+
+
+class BaseProduct(ABC):
+    def __init__(self):
+        self._signals = []
+
+    def _find_indexes(self,
+                       signal: str,  
+                       dataframe: pd.DataFrame) -> list[list[float], list[float]]:
+        stage_diff = np.diff(dataframe[signal])
+        start_idx = np.where(stage_diff == 1)
+        finish_idx = np.where(stage_diff == -1)
+        return start_idx[0], finish_idx[0]
+    
+    def _find_events(self, 
+                        dataframe: pd.DataFrame, 
+                        signals: list[str]) -> Optional[dict[dict[pd.Series]]]: 
+        intervals = {}
+        end_time = 0
+        for signal in signals:
+            start_idx, finish_idx = np.array(self._find_indexes(signal, dataframe))
+            start_series = dataframe.loc[start_idx, "time"].reset_index(drop=True)
+            end_series = dataframe.loc[finish_idx, "time"].reset_index(drop=True)
+            end_series.fillna(end_time)
+            intervals[signal] = {"rise": start_series,
+                                "fall": end_series}
+        return intervals
+    
+    def _form_intervals(self, 
+                        start: pd.Series, 
+                        end: pd.Series) -> dict:
+        if len(start) != len(end):
+            for i in range(1, len(end)):
+                if end[i-1] > start[i]:
+                   start = start.drop(i).reset_index(drop=True)
+        intervals = {'start':start.tolist, 'end':end.tolist}
+        return intervals
+    
+    @abstractmethod
+    def operation(self):
+        ...
+
+
+class Performance(BasePerformanceFactory):
+    
+    def robot_method(self) -> BaseProduct:
+        return RobotData()
+    
+    def TWC_method(self) -> BaseProduct:
+        return TWC_Data()
+    
+    def comm_method(self) -> BaseProduct:
+        return CommData()
+    
+    def job(self, path:str, TWC_raw:pd.DataFrame) -> list[pd.DataFrame, list[pd.DataFrame], list[pd.DataFrame]]:
+        robot = self.robot_method()
+        TWC = self.TWC_method()
+        comm=self.comm_method()
+        dataframe = self._get_file_data(path)
+        rob_comm, rob_df = robot.operation(dataframe)
+        TWC_comm, TWC_df = TWC.operation(TWC_raw)
+        comm_df = comm.operation(rob_comm, TWC_comm)
+        return comm_df, rob_df, TWC_df
+
+
+class RobotData(BaseProduct):
+    def __init__(self):
+        self._signals = [
+            "$OUT3012", 
+            "$IN3003", 
+            "$OUT3003", 
+            "$OUT3244"
+        ]
+
+    def operation(self, dataframe: pd.DataFrame) -> list[dict, pd.DataFrame]:
+        events = self._find_events(dataframe, self._signals)
+        communication_sig = {'sent':events["$OUT3244"]["fall"], 'received':events[""][""]}
+        point_interval = self._form_intervals(start=events["$OUT3012"]["rise"], end=events["$OUT3012"]["fall"])
+        movement_interval = self._form_intervals(start=events["$OUT3244"]["rise"], end=events["$OUT3244"]["fall"])
+        return communication_sig, pd.DataFrame({'in_point':point_interval,
+                                                'in_move':movement_interval})
+
+    
+class TWC_Data(BaseProduct):
+    def __init__(self):
+        self._signals = [
+            "Closing",
+            "Squeeze",
+            "Welding",
+            "Relief", 
+            "Oncoming"
+        ]
+
+    def operation(self, dataframe: pd.DataFrame) -> list[dict, pd.DataFrame]:
+        events = self._find_events(dataframe, self._signals)
+        communication_sig = {'sent':events[""][""], 'received':events[""][""]} #ситара что-то делает -конец сигнала
+        closing_interval = self._form_intervals(start=events["Closing"]["rise"], end=events["Closing"]["fall"])
+        squeeze_interval = self._form_intervals(start=events["Squeeze"]["rise"], end=events["Squeeze"]["fall"])
+        relief_interval = self._form_intervals(start=events["Relief"]["rise"], end=events["Relief"]["fall"])
+        oncoming_interval = self._form_intervals(start=events["Oncoming"]["rise"], end=events["Oncoming"]["fall"])
+        return communication_sig, pd.DataFrame({'in_closing':closing_interval,
+                                                'in_squeeze':squeeze_interval,
+                                                'in_relief':relief_interval,
+                                                'in_oncoming':oncoming_interval})
+
+class CommData(BaseProduct):
+    """
+    Определяет промежуток, в который происходит взаимодействие между нодами.
+    Подразумевается следующая структура: node: tuple(list, list)
+    node[0] - время отправки пакетов. node[1] - время приема пакетов.
+    """
+
+    def operation(self, node1: dict, node2: dict) -> pd.DataFrame:
+        n1_to_n2 = self._form_intervals(start=node1['sent'], end=node2['received'])
+        n2_to_n1 = self._form_intervals(start=node2['sent'], end=node1['received'])
+        return pd.concat([pd.DataFrame(n1_to_n2), pd.DataFrame(n2_to_n1)])
+        
+        
+            
+
+            
+   
+
+

src/utils/base/base.py

@@ -1,33 +1,42 @@
 from __future__ import annotations
 
 import os
-from typing import Optional, Union
+from typing import Optional, Union, Any
+from cachetools import LRUCache
 
 import pandas as pd
 from PyQt5.QtCore import QThread, QObject, QTimer
 from PyQt5.QtWidgets import QWidget, QTabWidget
-from src.OptAlgorithm import OptAlgorithm
+from PyQt5.QtOpenGL import QGLWidget
+from OptAlgorithm import OptAlgorithm
 import pandas as pd
+import pandas as pd
+import numpy as np
+
+
 
 
 class BaseMediator:
     def __init__(self,
                  monitor: BaseDirectoryMonitor,
                  converter: BaseDataConverter,
+                 passportFormer: BasePointPassportFormer,
                  plot: BasePlotWidget,
                  controller: BaseController):
         self._monitor = monitor
         self._monitor.mediator = self
         self._converter = converter
         self._converter.mediator = self
+        self._passportFormer = passportFormer
+        self._passportFormer.mediator = self
         self._plot = plot
         self._plot.mediator = self
         self._controller = controller
         self._controller.mediator = self
 
     def notify(self,
-               source: Union[BaseDirectoryMonitor, BaseDataConverter, BasePlotWidget, BaseMainWindow],
-               data: Union[list[str], list[pd.DataFrame], list[QWidget], list[dict]]):
+               source: Union[BaseDirectoryMonitor, BaseDataConverter, BasePointPassportFormer, BasePlotWidget],
+               data: Union[list[str], list[pd.DataFrame], list[list], list[QWidget]]):
         ...
     def push_settings (self, data: list[dict]):
         ...
@@ -70,7 +79,7 @@ class BaseDirectoryMonitor:
         self._files = files
 
     def start(self):
-        self.update_timer.start(self._update_time)
+        self.update_timer.start(int(self._update_time))
 
     def stop(self):
         self.update_timer.stop()
@@ -103,26 +112,23 @@ class BasePlotWidget:
         super().__init__()
         self._mediator = mediator
 
-        self._stages = [
-            "Closing",
-            "Squeeze",
-            "Welding",
-            "Relief"
-        ]
-
         self._stage_colors = {
-            "Closing": [208, 28, 31, 100],
-            "Squeeze": [45, 51, 89, 150],
-            "Welding": [247, 183, 24, 100],
-            "Relief": [0, 134, 88, 100],
-            "Oncoming": [222, 184, 135, 100]
+                "Closing": [220, 20, 60, 100],     # Crimson
+                "Squeeze": [30, 144, 255, 100],    # Dodger Blue
+                "Welding": [128, 128, 128, 100],   # Gray
+                "Relief": [34, 139, 34, 100],       # Forest Green
+                "Oncomming": [255, 165, 0, 100]     # Orange
             }
         self._plt_channels = {
             "Electrode Force, N & Welding Current, kA": {
                 "Settings": {
                     "zoom": False,
                     "stages": True, 
-                    "performance": True
+                    "performance": True,
+                    "ideals": True,
+                    "mirror ME": False,
+                    "workpiece": False,
+                    "force compensation FE": False
                 },
                 "Real_signals": [
                     {
@@ -145,26 +151,34 @@ class BasePlotWidget:
                     }
                 ]
             },
-            "Electrode Force, N": {
+            "Electrode Position, mm": {
                 "Settings": {
-                    "zoom": True,
-                    "stages": False, 
-                    "performance": False
+                    "zoom": False,
+                    "stages": True, 
+                    "performance": False,
+                    "ideals": True, 
+                    "mirror ME": True,
+                    "workpiece": True, 
+                    "force compensation FE": True
                 },
                 "Real_signals": [
                     {
-                        "name": "Electrode Force, N ME",
-                        "pen": 'r',
+                        "name": "Rotor Position, mm ME",
+                        "pen": {'color': 'r', 'width':2},
                     },
                     {
-                        "name": "Electrode Force, N FE",
-                        "pen": 'w',
+                        "name": "Rotor Position, mm FE",
+                        "pen": {'color': 'w', 'width':2},
                     }
                 ],
                 "Ideal_signals": [
                     {
-                        "name": "Force",
-                        "pen": {'color': 'r', 'width':3},
+                        "name": "Position ME",
+                        "pen": {'color': 'g', 'width':4},
+                    },
+                    {
+                        "name": "Position FE",
+                        "pen": {'color': 'b', 'width':4},
                     }
                 ]
             },
@@ -172,7 +186,11 @@ class BasePlotWidget:
                 "Settings": {
                     "zoom": False,
                     "stages": True, 
-                    "performance": False
+                    "performance": False,
+                    "ideals": True, 
+                    "mirror ME": False,
+                    "workpiece": False, 
+                    "force compensation FE": False
                 },
                 "Real_signals": [
                     {
@@ -189,29 +207,26 @@ class BasePlotWidget:
                 "Ideal_signals": [
                     {
                         "name": "Rotor Speed ME",
-                        "pen": {'color': 'y', 'width':3},
+                        "pen": {'color': 'g', 'width':3},
                         "zoom": False
                     },
                     {
                         "name": "Rotor Speed FE",
-                        "pen": {'color': 'g', 'width':3},
+                        "pen": {'color': 'b', 'width':3},
                         "zoom": False
                     }
                 ]
             },
         }
-    def _initIdealBuilder(self, 
-                    idealDataBuilder: Optional[BaseIdealDataBuilder] = None,
-                    data: list[dict] = None):
-        self.opt = idealDataBuilder(data)
+    def set_style(self, object: Union[QTabWidget, QWidget]) -> None:
+        object.setStyleSheet(
+            """QLabel {
+                    color: #ffffff;
+                    font-size: 26px;
+                    font-weight: bold;
+                    font-family: "Segoe UI", sans-serif;
+                }""")
     
-        self._stage_ideals = {
-            "Closing": self._opt.get_closingDF(),
-            "Squeeze": self._opt.get_compressionDF(),
-            "Welding": self._opt.get_weldingDF(),
-            "Relief": self._opt.get_openingDF(), 
-            "Oncoming": self._opt.get_oncomingDF()
-        }
     @property
     def mediator(self) -> BaseMediator:
         return self._mediator
@@ -231,8 +246,6 @@ class BasePlotWidget:
     def build(self, data: list[pd.DataFrame]) -> list[QWidget]:
         ...
 
-    def update_settings(self, data: list[dict]) -> None:
-        ...
 
 class BaseController(QObject):
 
@@ -242,21 +255,25 @@ class BaseController(QObject):
     def push_settings(self, settings: list[dict]) -> None:
         ...
     
+    def open_custom_file (self, filepath: str) -> None:
+        ...
+
 
-# FIXME: WeldingDF показывает только 1 секунду
 class BaseIdealDataBuilder(OptAlgorithm):
-    def __init__(self, data: list[dict]):
-        operator_params, system_params = data
+
+    def __init__(self, params: list[dict]):
+        operator_params, system_params = params
         self.mul = system_params['time_capture']
         self.welding_time = operator_params['time_wielding']
         super().__init__(operator_params, system_params)
     
+
     def _get_data(self, end_timestamp:float, func:function) -> pd.DataFrame:
         data = []
         for i in range (0, int(end_timestamp*self.mul)):
             time = i/self.mul
             X1, X2, V1, V2, F = func(time)
-            data.append({"time":time, "Posicion FE":X1*1000,"Posicion ME":X2*1000, "Rotor Speed FE":V1*1000, "Rotor Speed ME":V2*1000, "Force":F}) 
+            data.append({"time":time, "Position FE":X1*1000,"Position ME":X2*1000, "Rotor Speed FE":V1*1000, "Rotor Speed ME":V2*1000, "Force":F})
         return pd.DataFrame(data)
 
     def get_closingDF(self) -> pd.DataFrame:
@@ -336,3 +353,157 @@ class BaseMainWindow(QWidget):
                     font-family: "Segoe UI", sans-serif;
                 }
                 """)
+        
+class BasePointPassportFormer:
+
+    def __init__(self,
+                 mediator: Optional[BaseMediator] = None):
+        self._mediator = mediator
+        self._clear_stage = "Welding"
+        self._stages = [
+            "Closing",
+            "Squeeze",
+            "Welding",
+            "Relief",
+            "Oncomming"
+        ]
+        self._tesla_stages = [
+            "Tesla squeeze",
+            "Tesla closing",
+            "Tesla welding",
+            "Tesla oncomming_relief"
+        ]
+        self._params = []
+        self._ideal_data_cashe = LRUCache(maxsize=1000)
+        self._OptAlgorithm_operator_params = [
+            "dist_open_start_1", 
+            "dist_open_start_2", 
+            "dist_open_after_1", 
+            "dist_open_after_2", 
+            "dist_open_end_1", 
+            "dist_open_end_2", 
+            "dist_close_end_1", 
+            "dist_close_end_2", 
+            "time_command", 
+            "time_robot_movement", 
+            "object_thickness", 
+            "force_target", 
+            "force_capture",
+            "time_wielding"]
+        self._OptAlgorithm_system_params = [
+            "a_max_1", 
+            "v_max_1", 
+            "a_max_2", 
+            "v_max_2", 
+            "mass_1", 
+            "mass_2", 
+            "k_hardness_1", 
+            "k_hardness_2", 
+            "torque_max_1", 
+            "torque_max_2", 
+            "transmission_ratio_1", 
+            "transmission_ratio_2", 
+            "position_start_1", 
+            "position_start_2", 
+            "k_prop", 
+            "time_capture"]
+
+    def _find_indexes(self,
+                       signal: str,  
+                       dataframe: pd.DataFrame) -> tuple[np.ndarray, np.ndarray]:
+        stage_diff = np.diff(dataframe[signal])
+        start_idx = np.where(stage_diff == 1)
+        finish_idx = np.where(stage_diff == -1)
+        return start_idx[0], finish_idx[0]
+    
+    def _find_events(self, 
+                    signal: str,
+                    times:pd.Series,
+                    dataframe: pd.DataFrame) -> tuple[list[float], list[float]]: 
+        start_idx, finish_idx = self._find_indexes(signal, dataframe)
+       
+        if len(start_idx) > 0 and len(finish_idx) > 0 and start_idx[0] > finish_idx[0]:
+            start_idx = np.insert(start_idx, 0, 0)
+        start_list = times.iloc[start_idx].tolist() if len(start_idx) > 0 else []
+        end_list = times.iloc[finish_idx].tolist() if len(finish_idx) > 0 else []
+        if len(start_list) - len(end_list) == 1:
+            end_list.append(float(times.iloc[-1]))
+
+        return start_list, end_list
+    
+    def _filter_events(self,
+                        times: pd.Series,
+                        dataframe: pd.DataFrame) -> tuple[dict[str, list[list[float]]], int]:
+        events = {}
+        point_quantity = 0
+        if self._clear_stage in self._stages:
+            start_list, end_list = self._find_events(self._clear_stage, times, dataframe)
+            point_quantity = len(start_list)
+            if point_quantity == 0:
+                #TODO: добавить обработку исключения
+                return []
+            
+            for stage in self._stages:
+                start_list, end_list = self._find_events(stage, times, dataframe)
+                temp = min([len(start_list), len(end_list)])
+                if temp < point_quantity:
+                    print ("cant find enough", stage)
+                    start_list += [0]*(point_quantity - temp)
+                    end_list += [1]*(point_quantity - temp)
+
+                events[stage] = [start_list, end_list]
+        return events, point_quantity
+    
+    def _build_ideal_data(self, 
+                    idealDataBuilder: Optional[BaseIdealDataBuilder] = None,
+                    params: list[dict] = None) -> dict:  
+        self.opt = idealDataBuilder(params)
+        stage_ideals = {
+            "Closing": self._opt.get_closingDF(),
+            "Squeeze": self._opt.get_compressionDF(),
+            "Welding": self._opt.get_weldingDF(),
+            "Relief": self._opt.get_openingDF(), 
+            "Oncomming": self._opt.get_oncomingDF(),
+            "Ideal cycle": self._opt.get_cycle_time(),
+            "Ideal timings": self._opt.get_ideal_timings()
+        }
+        return stage_ideals
+    
+    def form_passports(self) -> list[list[pd.DataFrame, dict, list]]:
+        ...
+    
+    def update_settings(self, params: list) -> None:
+        ...
+    
+    def _generate_cache_key(self, 
+                            params_list: list[dict[str, Any]]) -> tuple[tuple[tuple[str, Any], ...], tuple[tuple[str, Any], ...]]:
+        """
+        Преобразует params_list в хешируемый ключ для кэша.
+        """
+        operator_settings, system_settings = params_list
+
+        # Преобразуем словари в отсортированные кортежи пар ключ-значение
+        operator_tuple = frozenset((key, value) 
+                                for key, value in operator_settings.items()
+                                if str(key) in self._OptAlgorithm_operator_params)
+        
+        system_tuple = frozenset((key, value) 
+                                for key, value in system_settings.items()
+                                if str(key) in self._OptAlgorithm_system_params)
+        return (operator_tuple, system_tuple)
+
+    @property
+    def opt(self) -> BaseIdealDataBuilder:
+        return self._opt
+    
+    @opt.setter
+    def opt(self, opt: BaseIdealDataBuilder):
+        self._opt = opt
+
+    @property
+    def mediator(self) -> BaseMediator:
+        return self._mediator
+
+    @mediator.setter
+    def mediator(self, mediator: BaseMediator) -> None:
+        self._mediator = mediator