How to use count_actual_rps method in yandex-tank

Best Python code snippet using yandex-tank

plugin.py

Source:plugin.py Github

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...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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