#!/usr/bin/env python3
# Copyright 2016 gRPC authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Run performance tests locally or remotely."""

from __future__ import print_function

import argparse
import collections
import itertools
import json
import os
import pipes
import re
import sys
import time

import six

import performance.scenario_config as scenario_config
import python_utils.jobset as jobset
import python_utils.report_utils as report_utils

_ROOT = os.path.abspath(os.path.join(os.path.dirname(sys.argv[0]), "../.."))
os.chdir(_ROOT)

_REMOTE_HOST_USERNAME = "jenkins"

_SCENARIO_TIMEOUT = 3 * 60
_WORKER_TIMEOUT = 3 * 60
_NETPERF_TIMEOUT = 60
_QUIT_WORKER_TIMEOUT = 2 * 60


class QpsWorkerJob:
    """Encapsulates a qps worker server job."""

    def __init__(self, spec, language, host_and_port, perf_file_base_name=None):
        self._spec = spec
        self.language = language
        self.host_and_port = host_and_port
        self._job = None
        self.perf_file_base_name = perf_file_base_name

    def start(self):
        self._job = jobset.Job(
            self._spec, newline_on_success=True, travis=True, add_env={}
        )

    def is_running(self):
        """Polls a job and returns True if given job is still running."""
        return self._job and self._job.state() == jobset._RUNNING

    def kill(self):
        if self._job:
            self._job.kill()
            self._job = None


def create_qpsworker_job(
    language, shortname=None, port=10000, remote_host=None, perf_cmd=None
):
    cmdline = language.worker_cmdline() + ["--driver_port=%s" % port]

    if remote_host:
        host_and_port = "%s:%s" % (remote_host, port)
    else:
        host_and_port = "localhost:%s" % port

    perf_file_base_name = None
    if perf_cmd:
        perf_file_base_name = "%s-%s" % (host_and_port, shortname)
        # specify -o output file so perf.data gets collected when worker stopped
        cmdline = (
            perf_cmd + ["-o", "%s-perf.data" % perf_file_base_name] + cmdline
        )

    worker_timeout = _WORKER_TIMEOUT
    if remote_host:
        user_at_host = "%s@%s" % (_REMOTE_HOST_USERNAME, remote_host)
        ssh_cmd = ["ssh"]
        cmdline = ["timeout", "%s" % (worker_timeout + 30)] + cmdline
        ssh_cmd.extend(
            [
                str(user_at_host),
                "cd ~/performance_workspace/grpc/ && %s" % " ".join(cmdline),
            ]
        )
        cmdline = ssh_cmd

    jobspec = jobset.JobSpec(
        cmdline=cmdline,
        shortname=shortname,
        timeout_seconds=worker_timeout,  # workers get restarted after each scenario
        verbose_success=True,
    )
    return QpsWorkerJob(jobspec, language, host_and_port, perf_file_base_name)


def create_scenario_jobspec(
    scenario_json,
    workers,
    remote_host=None,
    bq_result_table=None,
    server_cpu_load=0,
):
    """Runs one scenario using QPS driver."""
    # setting QPS_WORKERS env variable here makes sure it works with SSH too.
    cmd = 'QPS_WORKERS="%s" ' % ",".join(workers)
    if bq_result_table:
        cmd += 'BQ_RESULT_TABLE="%s" ' % bq_result_table
    cmd += "tools/run_tests/performance/run_qps_driver.sh "
    cmd += "--scenarios_json=%s " % pipes.quote(
        json.dumps({"scenarios": [scenario_json]})
    )
    cmd += "--scenario_result_file=scenario_result.json "
    if server_cpu_load != 0:
        cmd += (
            "--search_param=offered_load --initial_search_value=1000"
            " --targeted_cpu_load=%d --stride=500 --error_tolerance=0.01"
            % server_cpu_load
        )
    if remote_host:
        user_at_host = "%s@%s" % (_REMOTE_HOST_USERNAME, remote_host)
        cmd = 'ssh %s "cd ~/performance_workspace/grpc/ && "%s' % (
            user_at_host,
            pipes.quote(cmd),
        )

    return jobset.JobSpec(
        cmdline=[cmd],
        shortname="%s" % scenario_json["name"],
        timeout_seconds=_SCENARIO_TIMEOUT,
        shell=True,
        verbose_success=True,
    )


def create_quit_jobspec(workers, remote_host=None):
    """Runs quit using QPS driver."""
    # setting QPS_WORKERS env variable here makes sure it works with SSH too.
    cmd = 'QPS_WORKERS="%s" cmake/build/qps_json_driver --quit' % ",".join(
        w.host_and_port for w in workers
    )
    if remote_host:
        user_at_host = "%s@%s" % (_REMOTE_HOST_USERNAME, remote_host)
        cmd = 'ssh %s "cd ~/performance_workspace/grpc/ && "%s' % (
            user_at_host,
            pipes.quote(cmd),
        )

    return jobset.JobSpec(
        cmdline=[cmd],
        shortname="shutdown_workers",
        timeout_seconds=_QUIT_WORKER_TIMEOUT,
        shell=True,
        verbose_success=True,
    )


def create_netperf_jobspec(
    server_host="localhost", client_host=None, bq_result_table=None
):
    """Runs netperf benchmark."""
    cmd = 'NETPERF_SERVER_HOST="%s" ' % server_host
    if bq_result_table:
        cmd += 'BQ_RESULT_TABLE="%s" ' % bq_result_table
    if client_host:
        # If netperf is running remotely, the env variables populated by Jenkins
        # won't be available on the client, but we need them for uploading results
        # to BigQuery.
        jenkins_job_name = os.getenv("KOKORO_JOB_NAME")
        if jenkins_job_name:
            cmd += 'KOKORO_JOB_NAME="%s" ' % jenkins_job_name
        jenkins_build_number = os.getenv("KOKORO_BUILD_NUMBER")
        if jenkins_build_number:
            cmd += 'KOKORO_BUILD_NUMBER="%s" ' % jenkins_build_number

    cmd += "tools/run_tests/performance/run_netperf.sh"
    if client_host:
        user_at_host = "%s@%s" % (_REMOTE_HOST_USERNAME, client_host)
        cmd = 'ssh %s "cd ~/performance_workspace/grpc/ && "%s' % (
            user_at_host,
            pipes.quote(cmd),
        )

    return jobset.JobSpec(
        cmdline=[cmd],
        shortname="netperf",
        timeout_seconds=_NETPERF_TIMEOUT,
        shell=True,
        verbose_success=True,
    )


def archive_repo(languages):
    """Archives local version of repo including submodules."""
    cmdline = ["tar", "-cf", "../grpc.tar", "../grpc/"]
    if "java" in languages:
        cmdline.append("../grpc-java")
    if "go" in languages:
        cmdline.append("../grpc-go")
    if "node" in languages:
        cmdline.append("../grpc-node")

    archive_job = jobset.JobSpec(
        cmdline=cmdline, shortname="archive_repo", timeout_seconds=3 * 60
    )

    jobset.message("START", "Archiving local repository.", do_newline=True)
    num_failures, _ = jobset.run(
        [archive_job], newline_on_success=True, maxjobs=1
    )
    if num_failures == 0:
        jobset.message(
            "SUCCESS",
            "Archive with local repository created successfully.",
            do_newline=True,
        )
    else:
        jobset.message(
            "FAILED", "Failed to archive local repository.", do_newline=True
        )
        sys.exit(1)


def prepare_remote_hosts(hosts, prepare_local=False):
    """Prepares remote hosts (and maybe prepare localhost as well)."""
    prepare_timeout = 10 * 60
    prepare_jobs = []
    for host in hosts:
        user_at_host = "%s@%s" % (_REMOTE_HOST_USERNAME, host)
        prepare_jobs.append(
            jobset.JobSpec(
                cmdline=["tools/run_tests/performance/remote_host_prepare.sh"],
                shortname="remote_host_prepare.%s" % host,
                environ={"USER_AT_HOST": user_at_host},
                timeout_seconds=prepare_timeout,
            )
        )
    if prepare_local:
        # Prepare localhost as well
        prepare_jobs.append(
            jobset.JobSpec(
                cmdline=["tools/run_tests/performance/kill_workers.sh"],
                shortname="local_prepare",
                timeout_seconds=prepare_timeout,
            )
        )
    jobset.message("START", "Preparing hosts.", do_newline=True)
    num_failures, _ = jobset.run(
        prepare_jobs, newline_on_success=True, maxjobs=10
    )
    if num_failures == 0:
        jobset.message(
            "SUCCESS", "Prepare step completed successfully.", do_newline=True
        )
    else:
        jobset.message(
            "FAILED", "Failed to prepare remote hosts.", do_newline=True
        )
        sys.exit(1)


def build_on_remote_hosts(
    hosts, languages=list(scenario_config.LANGUAGES.keys()), build_local=False
):
    """Builds performance worker on remote hosts (and maybe also locally)."""
    build_timeout = 45 * 60
    # Kokoro VMs (which are local only) do not have caching, so they need more time to build
    local_build_timeout = 60 * 60
    build_jobs = []
    for host in hosts:
        user_at_host = "%s@%s" % (_REMOTE_HOST_USERNAME, host)
        build_jobs.append(
            jobset.JobSpec(
                cmdline=["tools/run_tests/performance/remote_host_build.sh"]
                + languages,
                shortname="remote_host_build.%s" % host,
                environ={"USER_AT_HOST": user_at_host, "CONFIG": "opt"},
                timeout_seconds=build_timeout,
            )
        )
    if build_local:
        # start port server locally
        build_jobs.append(
            jobset.JobSpec(
                cmdline=["python", "tools/run_tests/start_port_server.py"],
                shortname="local_start_port_server",
                timeout_seconds=2 * 60,
            )
        )
        # Build locally as well
        build_jobs.append(
            jobset.JobSpec(
                cmdline=["tools/run_tests/performance/build_performance.sh"]
                + languages,
                shortname="local_build",
                environ={"CONFIG": "opt"},
                timeout_seconds=local_build_timeout,
            )
        )
    jobset.message("START", "Building.", do_newline=True)
    num_failures, _ = jobset.run(
        build_jobs, newline_on_success=True, maxjobs=10
    )
    if num_failures == 0:
        jobset.message("SUCCESS", "Built successfully.", do_newline=True)
    else:
        jobset.message("FAILED", "Build failed.", do_newline=True)
        sys.exit(1)


def create_qpsworkers(languages, worker_hosts, perf_cmd=None):
    """Creates QPS workers (but does not start them)."""
    if not worker_hosts:
        # run two workers locally (for each language)
        workers = [(None, 10000), (None, 10010)]
    elif len(worker_hosts) == 1:
        # run two workers on the remote host (for each language)
        workers = [(worker_hosts[0], 10000), (worker_hosts[0], 10010)]
    else:
        # run one worker per each remote host (for each language)
        workers = [(worker_host, 10000) for worker_host in worker_hosts]

    return [
        create_qpsworker_job(
            language,
            shortname="qps_worker_%s_%s" % (language, worker_idx),
            port=worker[1] + language.worker_port_offset(),
            remote_host=worker[0],
            perf_cmd=perf_cmd,
        )
        for language in languages
        for worker_idx, worker in enumerate(workers)
    ]


def perf_report_processor_job(
    worker_host, perf_base_name, output_filename, flame_graph_reports
):
    print("Creating perf report collection job for %s" % worker_host)
    cmd = ""
    if worker_host != "localhost":
        user_at_host = "%s@%s" % (_REMOTE_HOST_USERNAME, worker_host)
        cmd = (
            "USER_AT_HOST=%s OUTPUT_FILENAME=%s OUTPUT_DIR=%s PERF_BASE_NAME=%s"
            " tools/run_tests/performance/process_remote_perf_flamegraphs.sh"
            % (
                user_at_host,
                output_filename,
                flame_graph_reports,
                perf_base_name,
            )
        )
    else:
        cmd = (
            "OUTPUT_FILENAME=%s OUTPUT_DIR=%s PERF_BASE_NAME=%s"
            " tools/run_tests/performance/process_local_perf_flamegraphs.sh"
            % (output_filename, flame_graph_reports, perf_base_name)
        )

    return jobset.JobSpec(
        cmdline=cmd,
        timeout_seconds=3 * 60,
        shell=True,
        verbose_success=True,
        shortname="process perf report",
    )


Scenario = collections.namedtuple("Scenario", "jobspec workers name")


def create_scenarios(
    languages,
    workers_by_lang,
    remote_host=None,
    regex=".*",
    category="all",
    bq_result_table=None,
    netperf=False,
    netperf_hosts=[],
    server_cpu_load=0,
):
    """Create jobspecs for scenarios to run."""
    all_workers = [
        worker
        for workers in list(workers_by_lang.values())
        for worker in workers
    ]
    scenarios = []
    _NO_WORKERS = []

    if netperf:
        if not netperf_hosts:
            netperf_server = "localhost"
            netperf_client = None
        elif len(netperf_hosts) == 1:
            netperf_server = netperf_hosts[0]
            netperf_client = netperf_hosts[0]
        else:
            netperf_server = netperf_hosts[0]
            netperf_client = netperf_hosts[1]
        scenarios.append(
            Scenario(
                create_netperf_jobspec(
                    server_host=netperf_server,
                    client_host=netperf_client,
                    bq_result_table=bq_result_table,
                ),
                _NO_WORKERS,
                "netperf",
            )
        )

    for language in languages:
        for scenario_json in language.scenarios():
            if re.search(regex, scenario_json["name"]):
                categories = scenario_json.get(
                    "CATEGORIES", ["scalable", "smoketest"]
                )
                if category in categories or category == "all":
                    workers = workers_by_lang[str(language)][:]
                    # 'SERVER_LANGUAGE' is an indicator for this script to pick
                    # a server in different language.
                    custom_server_lang = scenario_json.get(
                        "SERVER_LANGUAGE", None
                    )
                    custom_client_lang = scenario_json.get(
                        "CLIENT_LANGUAGE", None
                    )
                    scenario_json = scenario_config.remove_nonproto_fields(
                        scenario_json
                    )
                    if custom_server_lang and custom_client_lang:
                        raise Exception(
                            "Cannot set both custom CLIENT_LANGUAGE and"
                            " SERVER_LANGUAGEin the same scenario"
                        )
                    if custom_server_lang:
                        if not workers_by_lang.get(custom_server_lang, []):
                            print(
                                "Warning: Skipping scenario %s as"
                                % scenario_json["name"]
                            )
                            print(
                                "SERVER_LANGUAGE is set to %s yet the language"
                                " has not been selected with -l"
                                % custom_server_lang
                            )
                            continue
                        for idx in range(0, scenario_json["num_servers"]):
                            # replace first X workers by workers of a different language
                            workers[idx] = workers_by_lang[custom_server_lang][
                                idx
                            ]
                    if custom_client_lang:
                        if not workers_by_lang.get(custom_client_lang, []):
                            print(
                                "Warning: Skipping scenario %s as"
                                % scenario_json["name"]
                            )
                            print(
                                "CLIENT_LANGUAGE is set to %s yet the language"
                                " has not been selected with -l"
                                % custom_client_lang
                            )
                            continue
                        for idx in range(
                            scenario_json["num_servers"], len(workers)
                        ):
                            # replace all client workers by workers of a different language,
                            # leave num_server workers as they are server workers.
                            workers[idx] = workers_by_lang[custom_client_lang][
                                idx
                            ]
                    scenario = Scenario(
                        create_scenario_jobspec(
                            scenario_json,
                            [w.host_and_port for w in workers],
                            remote_host=remote_host,
                            bq_result_table=bq_result_table,
                            server_cpu_load=server_cpu_load,
                        ),
                        workers,
                        scenario_json["name"],
                    )
                    scenarios.append(scenario)

    return scenarios


def finish_qps_workers(jobs, qpsworker_jobs):
    """Waits for given jobs to finish and eventually kills them."""
    retries = 0
    num_killed = 0
    while any(job.is_running() for job in jobs):
        for job in qpsworker_jobs:
            if job.is_running():
                print('QPS worker "%s" is still running.' % job.host_and_port)
        if retries > 10:
            print("Killing all QPS workers.")
            for job in jobs:
                job.kill()
                num_killed += 1
        retries += 1
        time.sleep(3)
    print("All QPS workers finished.")
    return num_killed


profile_output_files = []


# Collect perf text reports and flamegraphs if perf_cmd was used
# Note the base names of perf text reports are used when creating and processing
# perf data. The scenario name uniqifies the output name in the final
# perf reports directory.
# Alos, the perf profiles need to be fetched and processed after each scenario
# in order to avoid clobbering the output files.
def run_collect_perf_profile_jobs(
    hosts_and_base_names, scenario_name, flame_graph_reports
):
    perf_report_jobs = []
    global profile_output_files
    for host_and_port in hosts_and_base_names:
        perf_base_name = hosts_and_base_names[host_and_port]
        output_filename = "%s-%s" % (scenario_name, perf_base_name)
        # from the base filename, create .svg output filename
        host = host_and_port.split(":")[0]
        profile_output_files.append("%s.svg" % output_filename)
        perf_report_jobs.append(
            perf_report_processor_job(
                host, perf_base_name, output_filename, flame_graph_reports
            )
        )

    jobset.message(
        "START", "Collecting perf reports from qps workers", do_newline=True
    )
    failures, _ = jobset.run(
        perf_report_jobs, newline_on_success=True, maxjobs=1
    )
    jobset.message(
        "SUCCESS", "Collecting perf reports from qps workers", do_newline=True
    )
    return failures


def main():
    argp = argparse.ArgumentParser(description="Run performance tests.")
    argp.add_argument(
        "-l",
        "--language",
        choices=["all"] + sorted(scenario_config.LANGUAGES.keys()),
        nargs="+",
        required=True,
        help="Languages to benchmark.",
    )
    argp.add_argument(
        "--remote_driver_host",
        default=None,
        help=(
            "Run QPS driver on given host. By default, QPS driver is run"
            " locally."
        ),
    )
    argp.add_argument(
        "--remote_worker_host",
        nargs="+",
        default=[],
        help="Worker hosts where to start QPS workers.",
    )
    argp.add_argument(
        "--dry_run",
        default=False,
        action="store_const",
        const=True,
        help="Just list scenarios to be run, but don't run them.",
    )
    argp.add_argument(
        "-r",
        "--regex",
        default=".*",
        type=str,
        help="Regex to select scenarios to run.",
    )
    argp.add_argument(
        "--bq_result_table",
        default=None,
        type=str,
        help='Bigquery "dataset.table" to upload results to.',
    )
    argp.add_argument(
        "--category",
        choices=["smoketest", "all", "scalable", "sweep"],
        default="all",
        help="Select a category of tests to run.",
    )
    argp.add_argument(
        "--netperf",
        default=False,
        action="store_const",
        const=True,
        help="Run netperf benchmark as one of the scenarios.",
    )
    argp.add_argument(
        "--server_cpu_load",
        default=0,
        type=int,
        help=(
            "Select a targeted server cpu load to run. 0 means ignore this flag"
        ),
    )
    argp.add_argument(
        "-x",
        "--xml_report",
        default="report.xml",
        type=str,
        help="Name of XML report file to generate.",
    )
    argp.add_argument(
        "--perf_args",
        help=(
            'Example usage: "--perf_args=record -F 99 -g". '
            "Wrap QPS workers in a perf command "
            "with the arguments to perf specified here. "
            '".svg" flame graph profiles will be '
            "created for each Qps Worker on each scenario. "
            'Files will output to "<repo_root>/<args.flame_graph_reports>" '
            "directory. Output files from running the worker "
            "under perf are saved in the repo root where its ran. "
            'Note that the perf "-g" flag is necessary for '
            "flame graphs generation to work (assuming the binary "
            "being profiled uses frame pointers, check out "
            '"--call-graph dwarf" option using libunwind otherwise.) '
            'Also note that the entire "--perf_args=<arg(s)>" must '
            "be wrapped in quotes as in the example usage. "
            'If the "--perg_args" is unspecified, "perf" will '
            "not be used at all. "
            "See http://www.brendangregg.com/perf.html "
            "for more general perf examples."
        ),
    )
    argp.add_argument(
        "--skip_generate_flamegraphs",
        default=False,
        action="store_const",
        const=True,
        help=(
            "Turn flame graph generation off. "
            'May be useful if "perf_args" arguments do not make sense for '
            'generating flamegraphs (e.g., "--perf_args=stat ...")'
        ),
    )
    argp.add_argument(
        "-f",
        "--flame_graph_reports",
        default="perf_reports",
        type=str,
        help=(
            "Name of directory to output flame graph profiles to, if any are"
            " created."
        ),
    )
    argp.add_argument(
        "-u",
        "--remote_host_username",
        default="",
        type=str,
        help='Use a username that isn\'t "Jenkins" to SSH into remote workers.',
    )

    args = argp.parse_args()

    global _REMOTE_HOST_USERNAME
    if args.remote_host_username:
        _REMOTE_HOST_USERNAME = args.remote_host_username

    languages = set(
        scenario_config.LANGUAGES[l]
        for l in itertools.chain.from_iterable(
            six.iterkeys(scenario_config.LANGUAGES) if x == "all" else [x]
            for x in args.language
        )
    )

    # Put together set of remote hosts where to run and build
    remote_hosts = set()
    if args.remote_worker_host:
        for host in args.remote_worker_host:
            remote_hosts.add(host)
    if args.remote_driver_host:
        remote_hosts.add(args.remote_driver_host)

    if not args.dry_run:
        if remote_hosts:
            archive_repo(languages=[str(l) for l in languages])
            prepare_remote_hosts(remote_hosts, prepare_local=True)
        else:
            prepare_remote_hosts([], prepare_local=True)

    build_local = False
    if not args.remote_driver_host:
        build_local = True
    if not args.dry_run:
        build_on_remote_hosts(
            remote_hosts,
            languages=[str(l) for l in languages],
            build_local=build_local,
        )

    perf_cmd = None
    if args.perf_args:
        print("Running workers under perf profiler")
        # Expect /usr/bin/perf to be installed here, as is usual
        perf_cmd = ["/usr/bin/perf"]
        perf_cmd.extend(re.split("\s+", args.perf_args))

    qpsworker_jobs = create_qpsworkers(
        languages, args.remote_worker_host, perf_cmd=perf_cmd
    )

    # get list of worker addresses for each language.
    workers_by_lang = dict([(str(language), []) for language in languages])
    for job in qpsworker_jobs:
        workers_by_lang[str(job.language)].append(job)

    scenarios = create_scenarios(
        languages,
        workers_by_lang=workers_by_lang,
        remote_host=args.remote_driver_host,
        regex=args.regex,
        category=args.category,
        bq_result_table=args.bq_result_table,
        netperf=args.netperf,
        netperf_hosts=args.remote_worker_host,
        server_cpu_load=args.server_cpu_load,
    )

    if not scenarios:
        raise Exception("No scenarios to run")

    total_scenario_failures = 0
    qps_workers_killed = 0
    merged_resultset = {}
    perf_report_failures = 0

    for scenario in scenarios:
        if args.dry_run:
            print(scenario.name)
        else:
            scenario_failures = 0
            try:
                for worker in scenario.workers:
                    worker.start()
                jobs = [scenario.jobspec]
                if scenario.workers:
                    # TODO(jtattermusch): ideally the "quit" job won't show up
                    # in the report
                    jobs.append(
                        create_quit_jobspec(
                            scenario.workers,
                            remote_host=args.remote_driver_host,
                        )
                    )
                scenario_failures, resultset = jobset.run(
                    jobs, newline_on_success=True, maxjobs=1
                )
                total_scenario_failures += scenario_failures
                merged_resultset = dict(
                    itertools.chain(
                        six.iteritems(merged_resultset),
                        six.iteritems(resultset),
                    )
                )
            finally:
                # Consider qps workers that need to be killed as failures
                qps_workers_killed += finish_qps_workers(
                    scenario.workers, qpsworker_jobs
                )

            if (
                perf_cmd
                and scenario_failures == 0
                and not args.skip_generate_flamegraphs
            ):
                workers_and_base_names = {}
                for worker in scenario.workers:
                    if not worker.perf_file_base_name:
                        raise Exception(
                            "using perf buf perf report filename is unspecified"
                        )
                    workers_and_base_names[
                        worker.host_and_port
                    ] = worker.perf_file_base_name
                perf_report_failures += run_collect_perf_profile_jobs(
                    workers_and_base_names,
                    scenario.name,
                    args.flame_graph_reports,
                )

    # Still write the index.html even if some scenarios failed.
    # 'profile_output_files' will only have names for scenarios that passed
    if perf_cmd and not args.skip_generate_flamegraphs:
        # write the index fil to the output dir, with all profiles from all scenarios/workers
        report_utils.render_perf_profiling_results(
            "%s/index.html" % args.flame_graph_reports, profile_output_files
        )

    report_utils.render_junit_xml_report(
        merged_resultset,
        args.xml_report,
        suite_name="benchmarks",
        multi_target=True,
    )

    if total_scenario_failures > 0 or qps_workers_killed > 0:
        print(
            "%s scenarios failed and %s qps worker jobs killed"
            % (total_scenario_failures, qps_workers_killed)
        )
        sys.exit(1)

    if perf_report_failures > 0:
        print("%s perf profile collection jobs failed" % perf_report_failures)
        sys.exit(1)


if __name__ == "__main__":
    main()