#!/usr/bin/env python # # Copyright 2015-2016 Ettus Research LLC # Copyright 2018 Ettus Research, a National Instruments Company # # SPDX-License-Identifier: GPL-3.0-or-later # """ Test using benchmark_rate. """ import re from uhd_test_base import uhd_example_test_case DEFAULT_O_THRESHOLD = 1000 DEFAULT_U_THRESHOLD = 1000 DEFAULT_D_THRESHOLD = 50 DEFAULT_S_THRESHOLD = 50 class uhd_benchmark_rate_test(uhd_example_test_case): """ Run benchmark_rate in various configurations. """ tests = {} def setup_example(self): """ Set args. """ self.test_params = uhd_benchmark_rate_test.tests def run_test(self, test_name, test_args): """ Runs benchmark_rate with the given parameters. Parses output and writes results to file. We always run both tx and rx. """ # rel_samp_err_threshold = 0.1 # 10% off is still quite generous samp_rate = test_args.get('rate', 1e6) duration = test_args.get('duration', 1) chan = test_args.get('chan', '0') n_chans = len(chan.split(",")) expected_samples = n_chans * duration * samp_rate self.log.info('Running test {n}, Channel = {c}, Sample Rate = {r}'.format( n=test_name, c=chan, r=samp_rate, )) args = [ self.create_addr_args_str(), '--duration', str(duration), '--channels', str(chan), '--overrun-threshold', str(test_args.get('acceptable-overruns', DEFAULT_O_THRESHOLD)), '--underrun-threshold', str(test_args.get('acceptable-underruns', DEFAULT_U_THRESHOLD)), '--drop-threshold', str(test_args.get('acceptable-D', DEFAULT_D_THRESHOLD)), '--seq-threshold', str(test_args.get('acceptable-S', DEFAULT_S_THRESHOLD)), ] if 'tx' in test_args.get('direction', ''): args.append('--tx_rate') args.append(str(samp_rate)) if 'rx' in test_args.get('direction', ''): args.append('--rx_rate') args.append(str(samp_rate)) (app, run_results) = self.run_example('benchmark_rate', args) match = re.search(r'(Num received samples):\s*(.*)', app.stdout) run_results['num_rx_samples'] = int(match.group(2)) if match else -1 if run_results['num_rx_samples'] != -1: run_results['rel_rx_samples_error'] = 1.0 * abs( run_results['num_rx_samples'] - test_args.get('rx_buffer', 0) - expected_samples ) / expected_samples else: run_results['rel_rx_samples_error'] = 100 match = re.search(r'(Num dropped samples):\s*(.*)', app.stdout) run_results['num_rx_dropped'] = int(match.group(2)) if match else -1 match = re.search(r'(Num overruns detected):\s*(.*)', app.stdout) run_results['num_rx_overruns'] = int(match.group(2)) if match else -1 match = re.search(r'(Num transmitted samples):\s*(.*)', app.stdout) run_results['num_tx_samples'] = int(match.group(2)) if match else -1 if run_results['num_tx_samples'] != -1: run_results['rel_tx_samples_error'] = 1.0 * abs( run_results['num_tx_samples'] - test_args.get('tx_buffer', 0) - expected_samples ) / expected_samples else: run_results['rel_tx_samples_error'] = 100 match = re.search(r'(Num sequence errors \(Tx\)):\s*(.*)', app.stdout) run_results['num_tx_seqerrs'] = int(match.group(2)) if match else -1 match = re.search(r'(Num underruns detected):\s*(.*)', app.stdout) run_results['num_tx_underruns'] = int(match.group(2)) if match else -1 match = re.search(r'(Num timeouts \(Rx\)):\s*(.*)', app.stdout) run_results['num_timeouts_rx'] = int(match.group(2)) if match else -1 run_results['passed'] = all([ run_results['return_code'] == 0, run_results['num_rx_dropped'] == 0, run_results['num_tx_seqerrs'] == 0, run_results['num_tx_underruns'] <= test_args.get('acceptable-underruns', 0), run_results['num_rx_samples'] > 0, run_results['num_tx_samples'] > 0, run_results['num_timeouts_rx'] == 0, # run_results['rel_rx_samples_error'] < rel_samp_err_threshold, # run_results['rel_tx_samples_error'] < rel_samp_err_threshold, ]) self.report_example_results(test_name, run_results) return run_results