code: def collect_datasources(self):
      
      report_count = 0
      if self.status != 'OK':
        return False
      diff_datasource = sorted(set(self.reports[0].datasource) & set(self.reports[1].datasource))
      if diff_datasource:
        self.reports[0].datasource = diff_datasource
        self.reports[1].datasource = diff_datasource
      else:
        self.status = 'NO_COMMON_STATS'
        logger.error('No common metrics were found between the two reports')
        return False
      for report in self.reports:
        report.label = report_count
        report_count += 1
        report.local_location = os.path.join(self.resource_directory, str(report.label))
        try:
          os.makedirs(report.local_location)
        except OSError as exeption:
          if exeption.errno != errno.EEXIST:
            raise
        if report.remote_location != 'local':
          naarad.httpdownload.download_url_list(map(lambda x: report.remote_location + '/' + self.resource_path + '/' + x + '.csv', report.datasource),
                                                report.local_location)
        else:
          for filename in report.datasource:
            try:
              shutil.copy(os.path.join(os.path.join(report.location, self.resource_path), filename + '.csv'), report.local_location)
            except IOError as exeption:
              continue
      return True
docs: Identify what time series exist in both the diffed reports and download them to the diff report resources directory
      :return: True/False : return status of whether the download of time series resources succeeded.