feat: add method to unify process values

deps/wazuh_testing/wazuh_testing/scripts/data_visualizations.py

@@ -20,6 +20,8 @@ def get_script_arguments():
                         help=f'Base name for the images. Default {None}.')
     parser.add_argument('-c', '--columns', dest='columns', default=None,
                         help=f'Path to Json with Columns to Plot. Default {None}.')
+    parser.add_argument('-u', '--unify', dest='unify', default=False,
+                        help=f'Unify process values. Default {False}.')  
 
     return parser.parse_args()
 
@@ -32,7 +34,7 @@ def main():
         makedirs(destination)
     dv = DataVisualizer(dataframes=options.csv_list, target=options.visualization_target,
                         compare=False, store_path=options.destination, base_name=options.name,
-                        columns_path=options.columns)
+                        columns_path=options.columns, unify=options.unify)
     dv.plot()
 
 

deps/wazuh_testing/wazuh_testing/tools/performance/visualization.py

@@ -32,7 +32,7 @@ class DataVisualizer:
         base_name (str, optional): base name used to store the images.
     """
     def __init__(self, dataframes, target, compare=False, store_path=gettempdir(), x_ticks_granularity='minutes',
-                 x_ticks_interval=1, base_name=None, columns_path=None):
+                 x_ticks_interval=1, base_name=None, columns_path=None, unify=False):
         self.dataframes_paths = dataframes
         self.dataframe = None
         self.compare = compare
@@ -48,6 +48,9 @@ def __init__(self, dataframes, target, compare=False, store_path=gettempdir(), x
         if target in ['binary', 'analysis', 'remote', 'agent', 'logcollector', 'wazuhdb']:
             self.columns_to_plot = self._load_columns_to_plot(columns_path)
 
+        if unify:
+            self._unify_dataframes()
+
     @staticmethod
     def _color_palette(size):
         """Create a list of different colors.
@@ -87,6 +90,17 @@ def _load_dataframes(self):
                 new_csv = pd.read_csv(df_path, index_col="Timestamp", parse_dates=True)
                 self.dataframe = pd.concat([self.dataframe, new_csv])
 
+    def _unify_dataframes(self):
+        """Unify dataframe values."""
+        df_row = self.dataframe.iloc[0]
+        df_names = [df_row['Daemon'], df_row['Version'], df_row['PID']]
+        columns_to_drop = ['Daemon', 'Version', 'PID']
+        columns_to_sum = self.dataframe.columns.drop(columns_to_drop)
+        self.dataframe = self.dataframe.groupby('Timestamp')[columns_to_sum].sum().reset_index(drop=False)
+
+        for index, value in enumerate(df_names):
+            self.dataframe.insert(index, columns_to_drop[index], value)
+
     def _set_x_ticks_interval(self, ax):
         """Set the number of labels that will appear in the X axis and their format.