code: def __get_config(self, data_sources=None):
          
  
          if not data_sources:
              # For testing
              data_sources = ["gerrit", "git", "github_issues", "mls"]
  
          # In new_config a dict with all the metrics for all data sources is created
          new_config = {}
          for ds in data_sources:
              ds_config = self.ds2class[ds].get_section_metrics()
              for section in ds_config:
                  if section not in new_config:
                      # Just create the section with the data for the ds
                      new_config[section] = ds_config[section]
                  else:
                      for metric_section in ds_config[section]:
                          if ds_config[section][metric_section] is not None:
                              if (metric_section not in new_config[section] or
                                  new_config[section][metric_section] is None):
                                  new_config[section][metric_section] = ds_config[section][metric_section]
                              else:
                                  new_config[section][metric_section] += ds_config[section][metric_section]
  
          # Fields that are not linked to a data source
          new_config['overview']['activity_file_csv'] = "data_source_evolution.csv"
          new_config['overview']['efficiency_file_csv'] = "efficiency.csv"
          new_config['project_process']['time_to_close_title'] = "Days to close (median and average)"
          new_config['project_process']['time_to_close_review_title'] = "Days to close review (median and average)"
  
          for i in range(0, len(data_sources)):
              ds = data_sources[i]
              ds_config = self.ds2class[ds].get_section_metrics()
              activity_metrics = ds_config['project_activity']['metrics']
              new_config['project_activity']['ds' + str(i + 1) + "_metrics"] = activity_metrics
  
          return new_config
docs: Build a dictionary with the Report configuration with the data sources and metrics to be included
          in each section of the report
          :param data_sources: list of data sources to be included in the report
          :return: a dict with the data sources and metrics to be included in the report