diff --git a/src/performance/__pycache__/roboter.cpython-310.pyc b/src/performance/__pycache__/roboter.cpython-310.pyc
new file mode 100644
index 0000000..51c2cce
Binary files /dev/null and b/src/performance/__pycache__/roboter.cpython-310.pyc differ
diff --git a/src/performance/performance.py b/src/performance/performance.py
new file mode 100644
index 0000000..091e685
--- /dev/null
+++ b/src/performance/performance.py
@@ -0,0 +1,23 @@
+from typing import Optional
+import os
+import numpy as np
+import pandas as pd
+
+from roboter import RobotPerformance, TWC_Performance
+
+class PerformanceProcessor:
+
+    def calc_performance(self, path, df):
+        robot = RobotPerformance()
+        TWC = TWC_Performance()
+        rob_df = robot.job(path)
+        TWC_df = TWC.job(df)
+
+
+
+if __name__ == "__main__":
+    path = "D:\downloads\Test2\TeslaTIME29_71_KRCIO.dat"
+    robot = RobotPerformance()
+    #TWC = TWC_Performance()
+    result = robot.job(path)
+    print (result)
diff --git a/src/performance/roboter.py b/src/performance/roboter.py
new file mode 100644
index 0000000..b9da7be
--- /dev/null
+++ b/src/performance/roboter.py
@@ -0,0 +1,166 @@
+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, finish_idx
+    
+    def operation(self, dataframe: pd.DataFrame) -> pd.DataFrame: 
+        all_idx = np.array([])
+        for signal in self._signals:
+            start_idx, finish_idx = np.array(self._find_indexes(signal, dataframe))
+            all_idx = np.hstack([all_idx, start_idx[0], finish_idx[0]])
+        all_idx = np.sort(np.array(all_idx, dtype="int64"))
+        result = dataframe.loc[all_idx, self._signals + ["time"]]
+        return result
+
+
+class RobotPerformance(BasePerformanceFactory):
+    
+    def factory_method(self) -> BaseProduct:
+        return RobotDF()
+    
+    def job(self, path) -> pd.DataFrame:
+        product = self.factory_method()
+        dataframe = self._get_file_data(path)
+        rob_df = product.operation(dataframe)
+        in_point, in_moving, in_dialog = False, False, False
+        for index, row in rob_df.iterrows():
+            if row["$OUT3012"] == 1:
+                if not in_point:
+                    in_point = True
+                    start_point = row["time"]
+                else:
+                    in_point = False
+                    time_in_point = row["time"] - start_point
+            
+
+
+
+        return rob_df
+    
+
+
+class TWC_Performance(BasePerformanceFactory):
+
+    def factory_method(self) -> BaseProduct:
+        return TWC_DF()
+    
+    def job(self, TWC_DF: pd.DataFrame) -> pd.DataFrame:
+        product = self.factory_method()
+        result = product.operation(TWC_DF) 
+        return result
+
+
+class RobotDF(BaseProduct):
+    def __init__(self):
+        self._signals = [
+            "$OUT3012", 
+            "$IN3003", 
+            "$OUT3003"
+        ]
+
+    
+class TWC_DF(BaseProduct):
+    def __init__(self):
+        self._signals = [
+            "Closing",
+            "Squeeze",
+            "Welding",
+            "Relief"
+        ]
+
+
+        
+        
+            
+
+            
+   
+
+
diff --git a/src/utils/base/base.py b/src/utils/base/base.py
index ee0fd86..53d353e 100644
--- a/src/utils/base/base.py
+++ b/src/utils/base/base.py
@@ -335,4 +335,6 @@ class BaseMainWindow(QWidget):
                     font-weight: bold;
                     font-family: "Segoe UI", sans-serif;
                 }
-                """)
\ No newline at end of file
+                """)
+        
+        
\ No newline at end of file