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How to use count_actual_rps method in yandex-tank

Best Python code snippet using yandex-tank

plugin.py

Source:plugin.py

...204            self.rps_metrics['actual_rps_metrics_obj'] = self.data_session.new_true_metric(205                meta=dict(self.meta, name=self.ACTUAL_RPS_METRICS_NAME),206                raw=True, aggregate=False, parent=None, case=None207            )208        df = self.count_actual_rps(data, last_piece)209        if not df.empty:210            self.rps_metrics['actual_rps_metrics_obj'].put(df)211    def parse_stpd(self):212        """  Reads rps plan from stpd file """213        stpd_file = self.core.info.get_value(['stepper', 'stpd_file'])214        if not stpd_file:215            logger.info('No stpd found, no planned_rps metrics')216            return pandas.DataFrame()217        rows_list = []218        test_start = int(self.core.info.get_value(['generator', 'test_start'], 0) * 10 ** 3)219        pattern = r'^\d+ (\d+)\s*.*$'220        regex = re.compile(pattern)221        try:222            with open(stpd_file) as stpd:223                for line in stpd:224                    if regex.match(line):225                        timestamp = int((int(line.split(' ')[1]) + test_start) / 1e3)  # seconds226                        rows_list.append(timestamp)227        except Exception:228            logger.warning('Failed to parse stpd file')229            logger.debug('', exc_info=True)230            return pandas.DataFrame()231        return self.rps_series_to_df(pandas.Series(rows_list))232    def count_actual_rps(self, data, last_piece):233        """ Counts actual rps on base of input chunk. Uses buffer for latest timestamp in df. """234        if not last_piece and not data.empty:235            concat_ts = pandas.concat([(data.ts / 1e6).astype(int), self.rps_metrics['actual_rps_latest']])236            self.rps_metrics['actual_rps_latest'] = concat_ts.loc[lambda s: s == concat_ts.max()]237            series_to_send = concat_ts.loc[lambda s: s < concat_ts.max()]238            df = self.rps_series_to_df(series_to_send) if series_to_send.any else pandas.DataFrame([])239        else:240            df = self.rps_series_to_df(self.rps_metrics['actual_rps_latest'])241            self.rps_metrics['actual_rps_latest'] = pandas.Series()242        return df243    @staticmethod244    def monitoring_data_to_dfs(data):245        panels = {}246        for chunk in data:...

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