#!/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

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),
        ]
        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 overflows 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):\s*(.*)', app.stdout)
        run_results['num_tx_seqerrs'] = int(match.group(2)) if match else -1
        match = re.search(r'(Num underflows detected):\s*(.*)', app.stdout)
        run_results['num_tx_underruns'] = int(match.group(2)) if match else -1
        match = re.search(r'(Num timeouts):\s*(.*)', app.stdout)
        run_results['num_timeouts'] = 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'] == 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