Module src.daemons.turbostat

Expand source code
# Copyright (c) 2019 Universidade da Coruña
# Authors:
#     - Jonatan Enes [main](jonatan.enes@udc.es, jonatan.enes.alvarez@gmail.com)
#     - Roberto R. Expósito
#     - Juan Touriño
#
# This file is part of the BDWatchdog framework, from
# now on referred to as BDWatchdog.
#
# BDWatchdog is free software: you can redistribute it
# and/or modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation, either version 3
# of the License, or (at your option) any later version.
#
# BDWatchdog is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with BDWatchdog. If not, see <http://www.gnu.org/licenses/>.


from __future__ import print_function
import sys
import os
import subprocess
import signal
from daemon import runner
import socket

import MetricsFeeder.src.daemons.daemon_utils as daemon_utils
from MetricsFeeder.src.daemons.daemon_utils import MonitoringDaemon

SERVICE_NAME = "Turbostat_" + str(socket.gethostname())

_base_path = os.path.dirname(os.path.abspath(__file__))

config_path = "conf/turbostat_config.ini"

config_keys = [
    "TURBOSTAT_SAMPLING_FREQUENCY",
    "POST_ENDPOINT_PATH",
    "POST_DOC_BUFFER_TIMEOUT",
    "PYTHONUNBUFFERED",
    "TEMPLATE_PATH",
    "METRICS_PATH",
    "TAGS_PATH",
    "POST_DOC_BUFFER_LENGTH",
    "POST_SEND_DOCS_TIMEOUT",
    "POST_SEND_DOCS_FAILED_TRIES",
    "HEARTBEAT_ENABLED",
    "BDW_LOG_DIR",
    "BDW_PID_DIR"
]

default_environment_values = {
    "TURBOSTAT_SAMPLING_FREQUENCY": "5",
    "POST_ENDPOINT_PATH": "http://opentsdb:4242/api/put",
    "POST_DOC_BUFFER_TIMEOUT": "10",
    "PYTHONUNBUFFERED": "yes",
    "TEMPLATE_PATH": os.path.join(_base_path, "../pipelines/templates/"),
    "METRICS_PATH": os.path.join(_base_path, "../pipelines/metrics/"),
    "TAGS_PATH": os.path.join(_base_path, "../pipelines/tags/"),
    "POST_DOC_BUFFER_LENGTH": "1000",  # Don't go over 1500 or post packet will be too large and may cause error
    "POST_SEND_DOCS_TIMEOUT": "10",
    "POST_SEND_DOCS_FAILED_TRIES": "6",
    "HEARTBEAT_ENABLED": "false",
    "BDW_LOG_DIR":os.path.join(_base_path, "logs/"),
    "BDW_PID_DIR":os.path.join(_base_path, "pids/")
}


def eprint(*args, **kwargs):
    print(*args, file=sys.stderr, **kwargs)


def turbostat_is_runnable(environment):
    # Run a bogus 'ls' command with turbostat statistics
    # If the command doesn't fail, turbostat works
    return daemon_utils.command_is_runnable(['turbostat', 'ls'])


class Turbostat(MonitoringDaemon):
    def run(self):
        self.launch_pipeline()
        self.launch_heartbeat()
        self.loop()

    def create_pipeline(self):
        processes_list = []

        # Create the data source
        turbostat = subprocess.Popen([
            'turbostat',
            '-i',
            self.environment["TURBOSTAT_SAMPLING_FREQUENCY"],
            # '--processor' # variable not longer recognized although the manual still reports it in the latest versions
        ],
            stdout=subprocess.PIPE)
        processes_list.append(turbostat)

        first_sed = self.create_pipe(['sed', '-u', '-e', 's/^[ \t]*//'],
                                     self.environment, turbostat.stdout, subprocess.PIPE)
        processes_list.append(first_sed)

        second_sed = self.create_pipe(['sed', '-u', '-e', 's/[[:space:]]\+/,/g'],
                                      self.environment, first_sed.stdout, subprocess.PIPE)
        processes_list.append(second_sed)

        turbostat_to_json = self.create_pipe(["python3", os.path.join(_base_path, "../turbostat/turbostat_to_json.py")],
                                            self.environment, second_sed.stdout, subprocess.PIPE)
        processes_list.append(turbostat_to_json)

        send_to_opentsdb = self.create_pipe(["python3", os.path.join(_base_path, "../pipelines/send_to_OpenTSDB.py")],
                                            self.environment, turbostat_to_json.stdout, subprocess.PIPE)
        processes_list.append(send_to_opentsdb)

        return processes_list


if __name__ == '__main__':
    environment = daemon_utils.initialize_environment(config_path, config_keys, default_environment_values)
    app = Turbostat(SERVICE_NAME, environment)
    handler = app.get_handler()
    app.is_runnable = turbostat_is_runnable
    app.not_runnable_message = "Turbostat program is not runnable, if it is installed, run the " + \
                               "'scripts/allow_turbostat.sh' and try again or run turbostat manually and check " \
                               "for errors.\n" + \
                               "Also, remember that programs like turbostat can't be executed on virtual " + \
                               "machine due to their need of hardware assisted technologies."

    app.check_if_runnable()

    # Capture reload signal and propagate
    signal.signal(signal.SIGHUP, app.reload_pipeline)

    # Run service
    serv = runner.DaemonRunner(app)
    serv.daemon_context.files_preserve = [handler.stream]
    # try:
    #     serv.do_action()
    # except runner.DaemonRunnerStopFailureError:
    #     pass
    serv.do_action()

Functions

def eprint(*args, **kwargs)
Expand source code
def eprint(*args, **kwargs):
    print(*args, file=sys.stderr, **kwargs)
def turbostat_is_runnable(environment)
Expand source code
def turbostat_is_runnable(environment):
    # Run a bogus 'ls' command with turbostat statistics
    # If the command doesn't fail, turbostat works
    return daemon_utils.command_is_runnable(['turbostat', 'ls'])

Classes

class Turbostat (service_name, environment)
Expand source code
class Turbostat(MonitoringDaemon):
    def run(self):
        self.launch_pipeline()
        self.launch_heartbeat()
        self.loop()

    def create_pipeline(self):
        processes_list = []

        # Create the data source
        turbostat = subprocess.Popen([
            'turbostat',
            '-i',
            self.environment["TURBOSTAT_SAMPLING_FREQUENCY"],
            # '--processor' # variable not longer recognized although the manual still reports it in the latest versions
        ],
            stdout=subprocess.PIPE)
        processes_list.append(turbostat)

        first_sed = self.create_pipe(['sed', '-u', '-e', 's/^[ \t]*//'],
                                     self.environment, turbostat.stdout, subprocess.PIPE)
        processes_list.append(first_sed)

        second_sed = self.create_pipe(['sed', '-u', '-e', 's/[[:space:]]\+/,/g'],
                                      self.environment, first_sed.stdout, subprocess.PIPE)
        processes_list.append(second_sed)

        turbostat_to_json = self.create_pipe(["python3", os.path.join(_base_path, "../turbostat/turbostat_to_json.py")],
                                            self.environment, second_sed.stdout, subprocess.PIPE)
        processes_list.append(turbostat_to_json)

        send_to_opentsdb = self.create_pipe(["python3", os.path.join(_base_path, "../pipelines/send_to_OpenTSDB.py")],
                                            self.environment, turbostat_to_json.stdout, subprocess.PIPE)
        processes_list.append(send_to_opentsdb)

        return processes_list

Ancestors

  • MetricsFeeder.src.daemons.daemon_utils.MonitoringDaemon

Methods

def create_pipeline(self)

Method documentation

Expand source code
def create_pipeline(self):
    processes_list = []

    # Create the data source
    turbostat = subprocess.Popen([
        'turbostat',
        '-i',
        self.environment["TURBOSTAT_SAMPLING_FREQUENCY"],
        # '--processor' # variable not longer recognized although the manual still reports it in the latest versions
    ],
        stdout=subprocess.PIPE)
    processes_list.append(turbostat)

    first_sed = self.create_pipe(['sed', '-u', '-e', 's/^[ \t]*//'],
                                 self.environment, turbostat.stdout, subprocess.PIPE)
    processes_list.append(first_sed)

    second_sed = self.create_pipe(['sed', '-u', '-e', 's/[[:space:]]\+/,/g'],
                                  self.environment, first_sed.stdout, subprocess.PIPE)
    processes_list.append(second_sed)

    turbostat_to_json = self.create_pipe(["python3", os.path.join(_base_path, "../turbostat/turbostat_to_json.py")],
                                        self.environment, second_sed.stdout, subprocess.PIPE)
    processes_list.append(turbostat_to_json)

    send_to_opentsdb = self.create_pipe(["python3", os.path.join(_base_path, "../pipelines/send_to_OpenTSDB.py")],
                                        self.environment, turbostat_to_json.stdout, subprocess.PIPE)
    processes_list.append(send_to_opentsdb)

    return processes_list
def run(self)
Expand source code
def run(self):
    self.launch_pipeline()
    self.launch_heartbeat()
    self.loop()