From 47b959695f53c73689ca6d3a5828849354f8950e Mon Sep 17 00:00:00 2001 From: adazemar Date: Tue, 31 Aug 2021 17:17:55 +0200 Subject: [PATCH] feat: use powerapi 1.0.0 --- smartwatts/__main__.py | 118 +- smartwatts/actor.py | 237 +- smartwatts/context.py | 23 - smartwatts/formula.py | 2 + smartwatts/handler.py | 227 -- smartwatts/test_utils/reports.py | 3083 +++++++++++++++++ test/__init__.py | 0 ...mperf_to_zero_must_not_crash_the_system.py | 70 +- test/acceptation/test_normal_behaviour.py | 78 +- ...hwpc_report_must_not_make_formula_crash.py | 71 - test/hwpc_reports.py | 3054 ---------------- test/mongo_utils.py | 167 - 12 files changed, 3448 insertions(+), 3682 deletions(-) delete mode 100644 smartwatts/handler.py create mode 100644 smartwatts/test_utils/reports.py delete mode 100644 test/__init__.py delete mode 100644 test/acceptation/test_rapl_report_without_hwpc_report_must_not_make_formula_crash.py delete mode 100644 test/hwpc_reports.py delete mode 100644 test/mongo_utils.py diff --git a/smartwatts/__main__.py b/smartwatts/__main__.py index 9a9d7e6..34c543b 100644 --- a/smartwatts/__main__.py +++ b/smartwatts/__main__.py @@ -21,19 +21,22 @@ from collections import OrderedDict from typing import Dict + from powerapi import __version__ as powerapi_version -from powerapi.actor import ActorInitError -from powerapi.backendsupervisor import BackendSupervisor -from powerapi.cli.parser import ComponentSubParser, store_true -from powerapi.cli.tools import CommonCLIParser, PusherGenerator, PullerGenerator, ReportModifierGenerator +from powerapi.dispatcher import DispatcherActor, RouteTable from powerapi.cli import ConfigValidator +from powerapi.cli.tools import ComponentSubParser, store_true, ReportModifierGenerator, PullerGenerator, PusherGenerator, CommonCLIParser +from powerapi.message import DispatcherStartMessage +from powerapi.report import HWPCReport, FormulaReport from powerapi.dispatch_rule import HWPCDispatchRule, HWPCDepthLevel -from powerapi.dispatcher import DispatcherActor, RouteTable from powerapi.filter import Filter -from powerapi.report import HWPCReport +from powerapi.actor import InitializationException +from powerapi.supervisor import Supervisor + + from smartwatts import __version__ as smartwatts_version -from smartwatts.actor import SmartWattsFormulaActor +from smartwatts.actor import SmartWattsFormulaActor, SmartwattsValues from smartwatts.context import SmartWattsFormulaScope, SmartWattsFormulaConfig from smartwatts.topology import CPUTopology @@ -74,29 +77,30 @@ def generate_smartwatts_parser() -> ComponentSubParser: return parser -def setup_cpu_formula_actor(fconf, route_table, report_filter, cpu_topology, pushers) -> DispatcherActor: +def filter_rule(msg): + return True + + +def setup_cpu_formula_actor(supervisor, fconf, route_table, report_filter, cpu_topology, formula_pushers, power_pushers): """ Setup CPU formula actor. + :param supervisor: Actor supervisor :param fconf: Global configuration :param route_table: Reports routing table :param report_filter: Reports filter :param cpu_topology: CPU topology information :param pushers: Reports pushers - :return: Initialized CPU dispatcher actor """ - def cpu_formula_factory(name: str, _): - scope = SmartWattsFormulaScope.CPU - config = SmartWattsFormulaConfig(scope, fconf['sensor-reports-frequency'], fconf['cpu-rapl-ref-event'], fconf['cpu-error-threshold'], cpu_topology, fconf['learn-min-samples-required'], fconf['learn-history-window-size']) - return SmartWattsFormulaActor(name, pushers, config) - - cpu_dispatcher = DispatcherActor('cpu_dispatcher', cpu_formula_factory, route_table) - report_filter.filter(lambda msg: True, cpu_dispatcher) - return cpu_dispatcher + formula_config = SmartWattsFormulaConfig(SmartWattsFormulaScope.CPU, fconf['sensor-reports-frequency'], fconf['cpu-rapl-ref-event'], fconf['cpu-error-threshold'], cpu_topology, fconf['learn-min-samples-required'], fconf['learn-history-window-size']) + dispatcher_start_message = DispatcherStartMessage('system', 'cpu_dispatcher', SmartWattsFormulaActor, SmartwattsValues(formula_pushers, power_pushers, formula_config), route_table, 'cpu') + cpu_dispatcher = supervisor.launch(DispatcherActor, dispatcher_start_message) + report_filter.filter(filter_rule, cpu_dispatcher) -def setup_dram_formula_actor(fconf, route_table, report_filter, cpu_topology, pushers) -> DispatcherActor: +def setup_dram_formula_actor(supervisor, fconf, route_table, report_filter, cpu_topology, formula_pushers, power_pushers): """ Setup DRAM formula actor. + :param supervisor: Actor supervisor :param fconf: Global configuration :param route_table: Reports routing table :param report_filter: Reports filter @@ -104,14 +108,10 @@ def setup_dram_formula_actor(fconf, route_table, report_filter, cpu_topology, pu :param pushers: Reports pushers :return: Initialized DRAM dispatcher actor """ - def dram_formula_factory(name: str, _): - scope = SmartWattsFormulaScope.DRAM - config = SmartWattsFormulaConfig(scope, fconf['sensor-reports-frequency'], fconf['dram-rapl-ref-event'], fconf['dram-error-threshold'], cpu_topology, fconf['learn-min-samples-required'], fconf['learn-min-samples-required']) - return SmartWattsFormulaActor(name, pushers, config) - - dram_dispatcher = DispatcherActor('dram_dispatcher', dram_formula_factory, route_table) + formula_config = SmartWattsFormulaConfig(SmartWattsFormulaScope.DRAM, fconf['sensor-reports-frequency'], fconf['dram-rapl-ref-event'], fconf['dram-error-threshold'], cpu_topology, fconf['learn-min-samples-required'], fconf['learn-history-window-size']) + dispatcher_start_message = DispatcherStartMessage('system', 'dram_dispatcher', SmartWattsFormulaActor, SmartwattsValues(formula_pushers, power_pushers, formula_config), route_table, 'dram') + dram_dispatcher = supervisor.launch(DispatcherActor, dispatcher_start_message) report_filter.filter(lambda msg: True, dram_dispatcher) - return dram_dispatcher def run_smartwatts(args) -> None: @@ -135,46 +135,53 @@ def run_smartwatts(args) -> None: report_filter = Filter() - report_modifier_list = ReportModifierGenerator().generate(config) - - pullers = PullerGenerator(report_filter, report_modifier_list).generate(args) - - pushers = PusherGenerator().generate(args) - - dispatchers = {} - - logging.info('CPU formula is %s' % ('DISABLED' if fconf['disable-cpu-formula'] else 'ENABLED')) - if not fconf['disable-cpu-formula']: - logging.info('CPU formula parameters: RAPL_REF=%s ERROR_THRESHOLD=%sW' % (fconf['cpu-rapl-ref-event'], fconf['cpu-error-threshold'])) - dispatchers['cpu'] = setup_cpu_formula_actor(fconf, route_table, report_filter, cpu_topology, pushers) + report_modifier_list = ReportModifierGenerator().generate(fconf) - logging.info('DRAM formula is %s' % ('DISABLED' if fconf['disable-dram-formula'] else 'ENABLED')) - if not fconf['disable-dram-formula']: - logging.info('DRAM formula parameters: RAPL_REF=%s ERROR_THRESHOLD=%sW' % (fconf['dram-rapl-ref-event'], fconf['dram-error-threshold'])) - dispatchers['dram'] = setup_dram_formula_actor(fconf, route_table, report_filter, cpu_topology, pushers) - - actors = OrderedDict(**pushers, **dispatchers, **pullers) + supervisor = Supervisor(args['verbose']) def term_handler(_, __): - for _, actor in actors.items(): - actor.soft_kill() + supervisor.shutdown() exit(0) signal.signal(signal.SIGTERM, term_handler) signal.signal(signal.SIGINT, term_handler) - - supervisor = BackendSupervisor(args['stream']) try: logging.info('Starting SmartWatts actors...') - for actor_list in [pushers, dispatchers, pullers]: - for _, actor in actor_list.items(): - supervisor.launch_actor(actor) - except ActorInitError as exn: - logging.error('Actor initialization error: ' + exn.message) - supervisor.kill_actors() + + + + pushers_info = PusherGenerator().generate(args) + pushers_formula = {} + pushers_power = {} + for pusher_name in pushers_info: + pusher_cls, pusher_start_message = pushers_info[pusher_name] + if pusher_start_message.database.report_type == HWPCReport: + pushers_power[pusher_name] = supervisor.launch(pusher_cls, pusher_start_message) + elif pusher_start_message.database.report_type == FormulaReport: + pushers_formula[pusher_name] = supervisor.launch(pusher_cls, pusher_start_message) + + logging.info('CPU formula is %s' % ('DISABLED' if fconf['disable-cpu-formula'] else 'ENABLED')) + if not fconf['disable-cpu-formula']: + logging.info('CPU formula parameters: RAPL_REF=%s ERROR_THRESHOLD=%sW' % (fconf['cpu-rapl-ref-event'], fconf['cpu-error-threshold'])) + setup_cpu_formula_actor(supervisor, fconf, route_table, report_filter, cpu_topology, pushers_formula, pushers_power) + + logging.info('DRAM formula is %s' % ('DISABLED' if fconf['disable-dram-formula'] else 'ENABLED')) + if not fconf['disable-dram-formula']: + logging.info('DRAM formula parameters: RAPL_REF=%s ERROR_THRESHOLD=%sW' % (fconf['dram-rapl-ref-event'], fconf['dram-error-threshold'])) + setup_dram_formula_actor(supervisor, fconf, route_table, report_filter, cpu_topology, pushers_formula, pushers_power) + + pullers_info = PullerGenerator(report_filter, report_modifier_list).generate(args) + for puller_name in pullers_info: + puller_cls, puller_start_message = pullers_info[puller_name] + supervisor.launch(puller_cls, puller_start_message) + + except InitializationException as exn: + logging.error('Actor initialization error: ' + exn.msg) + supervisor.shutdown() + exit(-1) logging.info('SmartWatts is now running...') - supervisor.join() + supervisor.monitor() logging.info('SmartWatts is shutting down...') @@ -236,10 +243,9 @@ def get_config_from_cli(): config = get_config_from_file(config_file_path) if config_file_path is not None else get_config_from_cli() if not SmartwattsConfigValidator.validate(config): exit(-1) - print(config) - logging.basicConfig(level=logging.WARNING if config['verbose'] else logging.INFO) logging.captureWarnings(True) + logging.debug(str(config)) run_smartwatts(config) exit(0) diff --git a/smartwatts/actor.py b/smartwatts/actor.py index 22743cc..29df8cf 100644 --- a/smartwatts/actor.py +++ b/smartwatts/actor.py @@ -13,43 +13,230 @@ # # You should have received a copy of the GNU Affero General Public License # along with this program. If not, see . +from typing import Dict +from collections import OrderedDict, defaultdict +from math import ldexp, fabs -import logging +from thespian.actors import ActorAddress +from sklearn.exceptions import NotFittedError -from powerapi.formula import FormulaActor -from powerapi.handler import PoisonPillMessageHandler -from powerapi.message import PoisonPillMessage -from powerapi.report import HWPCReport +from powerapi.formula import AbstractCpuDramFormula, FormulaValues +from powerapi.message import FormulaStartMessage +from powerapi.report import HWPCReport, FormulaReport, PowerReport -from smartwatts.context import SmartWattsFormulaState -from smartwatts.handler import ReportHandler +from .context import SmartWattsFormulaConfig +from .formula import SmartWattsFormula -class SmartWattsFormulaActor(FormulaActor): + +class SmartwattsValues(FormulaValues): + def __init__(self, formula_pushers: Dict[str, ActorAddress], power_pushers: Dict[str, ActorAddress], config: SmartWattsFormulaConfig): + """ + :param pushers: Pusher actors + :param config: Configuration of the formula + """ + FormulaValues.__init__(self, power_pushers) + self.config = config + self.formula_pushers = formula_pushers + + +class SmartWattsFormulaActor(AbstractCpuDramFormula): """ This actor handle the reports for the SmartWatts formula. """ - def __init__(self, name, pushers, config): + def __init__(self): + AbstractCpuDramFormula.__init__(self, FormulaStartMessage) + + self.config = None + self.ticks = None + self.formula = None + + def _initialization(self, message: FormulaStartMessage): + AbstractCpuDramFormula._initialization(self, message) + self.config = message.values.config + self.formula_pushers = message.values.formula_pushers + self.ticks = OrderedDict() + self.formula = SmartWattsFormula(self.config.cpu_topology, self.config.history_window_size) + + + def receiveMsg_HWPCReport(self, message: HWPCReport, sender: ActorAddress): """ - Initialize new SmartWatts formula actor. - :param name: Name of the actor - :param pushers: Pusher actors - :param config: Configuration of the formula + Process a HWPC report and send the result(s) to a pusher actor. + :param msg: Received message + :param state: Current actor state + :return: New actor state + :raise: UnknowMessageTypeException when the given message is not an HWPCReport """ - FormulaActor.__init__(self, name, pushers, logging.WARNING) - self.state:State = SmartWattsFormulaState(self, pushers, self.formula_metadata, config) + self.log_debug('received message ' + str(message)) + self.ticks.setdefault(message.timestamp, {}).update({message.target: message}) - self.low_exception.append(ValueError) - self.low_exception.append(ZeroDivisionError) - self.low_exception.append(TypeError) - self.low_exception.append(KeyError) - self.low_exception.append(IndexError) + # start to process the oldest tick only after receiving at least 5 ticks. + # we wait before processing the ticks in order to mitigate the possible delay of the sensor/database. + if len(self.ticks) > 5: + power_reports, formula_reports = self._process_oldest_tick() + for report in power_reports: + for name, pusher in self.pushers.items(): + self.send(pusher, report) + self.log_debug('send ' + str(report) + ' to ' + name) + for report in formula_reports: + for name, pusher in self.formula_pushers.items(): + self.send(pusher, report) + self.log_debug('send ' + str(report) + ' to ' + name) - def setup(self): + def _process_oldest_tick(self): """ - Setup the messages handlers. + Process the oldest tick stored in the stack and generate power reports for the running target(s). + :return: Power reports of the running target(s) """ - FormulaActor.setup(self) - self.add_handler(PoisonPillMessage, PoisonPillMessageHandler(self.state)) - self.add_handler(HWPCReport, ReportHandler(self.state)) + timestamp, hwpc_reports = self.ticks.popitem(last=False) + + # reports of the current tick + power_reports = [] + formula_reports = [] + + # prepare required events group of Global target + try: + global_report = hwpc_reports.pop('all') + except KeyError: + # cannot process this tick without the reference measurements + return power_reports, formula_reports + + rapl = self._gen_rapl_events_group(global_report) + avg_msr = self._gen_msr_events_group(global_report) + global_core = self._gen_agg_core_report_from_running_targets(hwpc_reports) + + + # compute RAPL power report + rapl_power = rapl[self.config.rapl_event] + power_reports.append(self._gen_power_report(timestamp, 'rapl', self.config.rapl_event, 0.0, rapl_power, 1.0)) + + if global_core == {}: + return power_reports, formula_reports + + # fetch power model to use + pkg_frequency = self.formula.compute_pkg_frequency(avg_msr) + model = self.formula.get_power_model(avg_msr) + + # compute Global target power report + try: + raw_global_power = model.compute_power_estimation(global_core) + power_reports.append(self._gen_power_report(timestamp, 'global', model.hash, raw_global_power, raw_global_power, 1.0)) + except NotFittedError: + model.store_report_in_history(rapl_power, global_core) + model.learn_power_model(self.config.min_samples_required, 0.0, self.config.cpu_topology.tdp) + return power_reports, formula_reports + + # compute per-target power report + for target_name, target_report in hwpc_reports.items(): + target_core = self._gen_core_events_group(target_report) + raw_target_power = model.compute_power_estimation(target_core) + target_power, target_ratio = model.cap_power_estimation(raw_target_power, raw_global_power) + target_power = model.apply_intercept_share(target_power, target_ratio) + power_reports.append(self._gen_power_report(timestamp, target_name, model.hash, raw_target_power, target_power, target_ratio)) + + # compute power model error from reference + model_error = fabs(rapl_power - raw_global_power) + + # store global report + model.store_report_in_history(rapl_power, global_core) + + # learn new power model if error exceeds the error threshold + if model_error > self.config.error_threshold: + model.learn_power_model(self.config.min_samples_required, 0.0, self.config.cpu_topology.tdp) + + # store information about the power model used for this tick + formula_reports.append(self._gen_formula_report(timestamp, pkg_frequency, model, model_error)) + return power_reports, formula_reports + + + def _gen_formula_report(self, timestamp, pkg_frequency, model, error): + """ + Generate a formula report using the given parameters. + :param timestamp: Timestamp of the measurements + :param pkg_frequency: Package average frequency + :param model: Power model used for the estimation + :param error: Error rate of the model + :return: Formula report filled with the given parameters + """ + metadata = { + 'scope': self.config.scope.value, + 'socket': self.socket, + 'layer_frequency': model.frequency, + 'pkg_frequency': pkg_frequency, + 'samples': len(model.history), + 'id': model.id, + 'error': error, + 'intercept': model.model.intercept_, + 'coef': str(model.model.coef_) + } + return FormulaReport(timestamp, self.sensor, model.hash, metadata) + + def _gen_power_report(self, timestamp, target, formula, raw_power, power, ratio): + """ + Generate a power report using the given parameters. + :param timestamp: Timestamp of the measurements + :param target: Target name + :param formula: Formula identifier + :param power: Power estimation + :return: Power report filled with the given parameters + """ + metadata = { + 'scope': self.config.scope.value, + 'socket': self.socket, + 'formula': formula, + 'ratio': ratio, + 'predict': raw_power, + } + return PowerReport(timestamp, self.sensor, target, power, metadata) + + def _gen_rapl_events_group(self, system_report): + """ + Generate an events group with the RAPL reference event converted in Watts for the current socket. + :param system_report: The HWPC report of the System target + :return: A dictionary containing the RAPL reference event with its value converted in Watts + """ + cpu_events = next(iter(system_report.groups['rapl'][str(self.socket)].values())) + energy = ldexp(cpu_events[self.config.rapl_event], -32) / (self.config.reports_frequency / 1000) + return {self.config.rapl_event: energy} + + def _gen_msr_events_group(self, system_report): + """ + Generate an events group with the average of the MSR counters for the current socket. + :param system_report: The HWPC report of the System target + :return: A dictionary containing the average of the MSR counters + """ + msr_events_group = defaultdict(int) + msr_events_count = defaultdict(int) + for _, cpu_events in system_report.groups['msr'][str(self.socket)].items(): + for event_name, event_value in {k: v for k, v in cpu_events.items() if not k.startswith('time_')}.items(): + msr_events_group[event_name] += event_value + msr_events_count[event_name] += 1 + return {k: (v / msr_events_count[k]) for k, v in msr_events_group.items()} + + def _gen_core_events_group(self, report): + """ + Generate an events group with Core events for the current socket. + The events value are the sum of the value for each CPU. + :param report: The HWPC report of any target + :return: A dictionary containing the Core events of the current socket + """ + core_events_group = defaultdict(int) + for _, cpu_events in report.groups['core'][str(self.socket)].items(): + for event_name, event_value in {k: v for k, v in cpu_events.items() if not k.startswith('time_')}.items(): + core_events_group[event_name] += event_value + + return core_events_group + + def _gen_agg_core_report_from_running_targets(self, targets_report): + """ + Generate an aggregate Core events group of the running targets for the current socket. + :param targets_report: List of Core events group of the running targets + :return: A dictionary containing an aggregate of the Core events for the running targets of the current socket + """ + agg_core_events_group = defaultdict(int) + for _, target_report in targets_report.items(): + for event_name, event_value in self._gen_core_events_group(target_report).items(): + agg_core_events_group[event_name] += event_value + + return agg_core_events_group diff --git a/smartwatts/context.py b/smartwatts/context.py index 013a384..5d1e6bf 100644 --- a/smartwatts/context.py +++ b/smartwatts/context.py @@ -17,8 +17,6 @@ import re from enum import Enum -from powerapi.formula import FormulaState - class SmartWattsFormulaScope(Enum): """ @@ -51,24 +49,3 @@ def __init__(self, scope, reports_frequency, rapl_event, error_threshold, cpu_to self.cpu_topology = cpu_topology self.min_samples_required = min_samples_required self.history_window_size = history_window_size - - -class SmartWattsFormulaState(FormulaState): - """ - State of the SmartWatts formula actor. - """ - - def __init__(self, actor, pushers, metadata, config): - """ - Initialize a new formula state object. - :param actor: Actor of the formula - :param pushers: Dictionary of available pushers - :param config: Configuration of the formula - """ - FormulaState.__init__(self, actor, pushers, metadata) - self.config = config - - m = re.search(r'^\(\'(.*)\', \'(.*)\', \'(.*)\'\)$', actor.name) # TODO: Need a better way to get these information - self.dispatcher = m.group(1) - self.sensor = m.group(2) - self.socket = int(m.group(3)) diff --git a/smartwatts/formula.py b/smartwatts/formula.py index 8498c3f..2706c62 100644 --- a/smartwatts/formula.py +++ b/smartwatts/formula.py @@ -197,6 +197,8 @@ def compute_pkg_frequency(self, system_msr): :param system_msr: MSR events group of System target :return: Average frequency of the Package """ + import logging + extra_args = {'actor_name': 'FORMULA'} return (self.cpu_topology.get_base_frequency() * system_msr['APERF']) / system_msr['MPERF'] def get_power_model(self, system_core): diff --git a/smartwatts/handler.py b/smartwatts/handler.py deleted file mode 100644 index 1e41db4..0000000 --- a/smartwatts/handler.py +++ /dev/null @@ -1,227 +0,0 @@ -# Copyright (C) 2018 INRIA -# Copyright (C) 2018 University of Lille -# -# This program is free software: you can redistribute it and/or modify -# it under the terms of the GNU Affero General Public License as -# published by the Free Software Foundation, either version 3 of the -# License, or (at your option) any later version. -# -# This program 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 Affero General Public License for more details. -# -# You should have received a copy of the GNU Affero General Public License -# along with this program. If not, see . - -from collections import OrderedDict, defaultdict -from math import ldexp, fabs - -from powerapi.handler import Handler -from powerapi.message import UnknowMessageTypeException -from powerapi.report import HWPCReport, PowerReport -from powerapi.report.formula_report import FormulaReport -from sklearn.exceptions import NotFittedError - -from smartwatts.formula import SmartWattsFormula - - -class ReportHandler(Handler): - """ - This reports handler process the HWPC reports to compute a per-target power estimation. - """ - - def __init__(self, state): - """ - Initialize a new report handler. - :param state: State of the actor - """ - Handler.__init__(self, state) - self.state = state - self.ticks = OrderedDict() - self.formula = SmartWattsFormula(state.config.cpu_topology, state.config.history_window_size) - - def _gen_rapl_events_group(self, system_report): - """ - Generate an events group with the RAPL reference event converted in Watts for the current socket. - :param system_report: The HWPC report of the System target - :return: A dictionary containing the RAPL reference event with its value converted in Watts - """ - cpu_events = next(iter(system_report.groups['rapl'][str(self.state.socket)].values())) - energy = ldexp(cpu_events[self.state.config.rapl_event], -32) / (self.state.config.reports_frequency / 1000) - return {self.state.config.rapl_event: energy} - - def _gen_msr_events_group(self, system_report): - """ - Generate an events group with the average of the MSR counters for the current socket. - :param system_report: The HWPC report of the System target - :return: A dictionary containing the average of the MSR counters - """ - msr_events_group = defaultdict(int) - msr_events_count = defaultdict(int) - for _, cpu_events in system_report.groups['msr'][str(self.state.socket)].items(): - for event_name, event_value in {k: v for k, v in cpu_events.items() if not k.startswith('time_')}.items(): - msr_events_group[event_name] += event_value - msr_events_count[event_name] += 1 - - return {k: (v / msr_events_count[k]) for k, v in msr_events_group.items()} - - def _gen_core_events_group(self, report): - """ - Generate an events group with Core events for the current socket. - The events value are the sum of the value for each CPU. - :param report: The HWPC report of any target - :return: A dictionary containing the Core events of the current socket - """ - core_events_group = defaultdict(int) - for _, cpu_events in report.groups['core'][str(self.state.socket)].items(): - for event_name, event_value in {k: v for k, v in cpu_events.items() if not k.startswith('time_')}.items(): - core_events_group[event_name] += event_value - - return core_events_group - - def _gen_agg_core_report_from_running_targets(self, targets_report): - """ - Generate an aggregate Core events group of the running targets for the current socket. - :param targets_report: List of Core events group of the running targets - :return: A dictionary containing an aggregate of the Core events for the running targets of the current socket - """ - agg_core_events_group = defaultdict(int) - for _, target_report in targets_report.items(): - for event_name, event_value in self._gen_core_events_group(target_report).items(): - agg_core_events_group[event_name] += event_value - - return agg_core_events_group - - def _gen_power_report(self, timestamp, target, formula, raw_power, power, ratio): - """ - Generate a power report using the given parameters. - :param timestamp: Timestamp of the measurements - :param target: Target name - :param formula: Formula identifier - :param power: Power estimation - :return: Power report filled with the given parameters - """ - metadata = { - 'scope': self.state.config.scope.value, - 'socket': self.state.socket, - 'formula': formula, - 'ratio': ratio, - 'predict': raw_power, - } - return PowerReport(timestamp, self.state.sensor, target, self.state.socket, power, metadata) - - def _gen_formula_report(self, timestamp, pkg_frequency, model, error): - """ - Generate a formula report using the given parameters. - :param timestamp: Timestamp of the measurements - :param pkg_frequency: Package average frequency - :param model: Power model used for the estimation - :param error: Error rate of the model - :return: Formula report filled with the given parameters - """ - metadata = { - 'scope': self.state.config.scope.value, - 'socket': self.state.socket, - 'layer_frequency': model.frequency, - 'pkg_frequency': pkg_frequency, - 'samples': len(model.history), - 'id': model.id, - 'error': error, - 'intercept': model.model.intercept_, - 'coef': str(model.model.coef_) - } - return FormulaReport(timestamp, self.state.sensor, model.hash, metadata) - - def _process_oldest_tick(self): - """ - Process the oldest tick stored in the stack and generate power reports for the running target(s). - :return: Power reports of the running target(s) - """ - timestamp, hwpc_reports = self.ticks.popitem(last=False) - - # reports of the current tick - power_reports = [] - formula_reports = [] - - # prepare required events group of Global target - try: - global_report = hwpc_reports.pop('all') - except KeyError: - # cannot process this tick without the reference measurements - return power_reports, formula_reports - - rapl = self._gen_rapl_events_group(global_report) - avg_msr = self._gen_msr_events_group(global_report) - global_core = self._gen_agg_core_report_from_running_targets(hwpc_reports) - - # compute RAPL power report - rapl_power = rapl[self.state.config.rapl_event] - power_reports.append(self._gen_power_report(timestamp, 'rapl', self.state.config.rapl_event, 0.0, rapl_power, 1.0)) - - if global_core == {}: - return power_reports, formula_reports - - # fetch power model to use - pkg_frequency = self.formula.compute_pkg_frequency(avg_msr) - model = self.formula.get_power_model(avg_msr) - - # compute Global target power report - try: - raw_global_power = model.compute_power_estimation(global_core) - power_reports.append(self._gen_power_report(timestamp, 'global', model.hash, raw_global_power, raw_global_power, 1.0)) - except NotFittedError: - model.store_report_in_history(rapl_power, global_core) - model.learn_power_model(self.state.config.min_samples_required, 0.0, self.state.config.cpu_topology.tdp) - return power_reports, formula_reports - - # compute per-target power report - for target_name, target_report in hwpc_reports.items(): - target_core = self._gen_core_events_group(target_report) - raw_target_power = model.compute_power_estimation(target_core) - target_power, target_ratio = model.cap_power_estimation(raw_target_power, raw_global_power) - target_power = model.apply_intercept_share(target_power, target_ratio) - power_reports.append(self._gen_power_report(timestamp, target_name, model.hash, raw_target_power, target_power, target_ratio)) - - # compute power model error from reference - model_error = fabs(rapl_power - raw_global_power) - - # store global report - model.store_report_in_history(rapl_power, global_core) - - # learn new power model if error exceeds the error threshold - if model_error > self.state.config.error_threshold: - model.learn_power_model(self.state.config.min_samples_required, 0.0, self.state.config.cpu_topology.tdp) - - # store information about the power model used for this tick - formula_reports.append(self._gen_formula_report(timestamp, pkg_frequency, model, model_error)) - return power_reports, formula_reports - - def _process_report(self, report): - """ - Process the received report and trigger the processing of the old ticks. - :param report: HWPC report of a target - """ - self.ticks.setdefault(report.timestamp, {}).update({report.target: report}) - - # start to process the oldest tick only after receiving at least 5 ticks. - # we wait before processing the ticks in order to mitigate the possible delay of the sensor/database. - if len(self.ticks) > 5: - power_reports, formula_reports = self._process_oldest_tick() - for report in [*power_reports, *formula_reports]: - for _, pusher in self.state.pushers.items(): - if isinstance(report, pusher.state.report_model.get_type()): - pusher.send_data(report) - - def handle(self, msg): - """ - Process a report and send the result(s) to a pusher actor. - :param msg: Received message - :param state: Current actor state - :return: New actor state - :raise: UnknowMessageTypeException when the given message is not an HWPCReport - """ - if not isinstance(msg, HWPCReport): - raise UnknowMessageTypeException(type(msg)) - - self._process_report(msg) diff --git a/smartwatts/test_utils/reports.py b/smartwatts/test_utils/reports.py new file mode 100644 index 0000000..88ca78c --- /dev/null +++ b/smartwatts/test_utils/reports.py @@ -0,0 +1,3083 @@ +import pytest + +import time + + +@pytest.fixture +def smartwatts_timeline_with_mperf_0(smartwatts_timeline): + found_second_time = False + for report in smartwatts_timeline: + if report['target'] == 'all': + if found_second_time: + for n in range(8): + smartwatts_timeline[1]['groups']['msr']['0'][str(n)]['MPERF'] = 0 + smartwatts_timeline[1]['groups']['msr']['0'][str(n)]['APERF'] = 0 + smartwatts_timeline[1]['groups']['msr']['0'][str(n)]['TSC'] = 0 + return smartwatts_timeline + found_second_time = True + + +@pytest.fixture +def smartwatts_timeline_without_hwpc_for_first_tick(smartwatts_timeline): + timeline = [] + for report in smartwatts_timeline: + if report['timestamp'] == '2021-01-13T09:51:22.630': + if report['target'] == 'all': + timeline.append(report) + else: +a timeline.append(report) + return timeline + + +@pytest.fixture +def smartwatts_timeline(): + return [ + { + "timestamp" : "2021-01-13T09:51:22.630", + "sensor" : "sensor_test", + "target" : "influxdb", + "groups" : { + "core" : { + "0" : { + "3" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 79254, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 2383, + "time_enabled" : 122154, + "time_running" : 122154, + "LLC_MISSES" : 4103, + "INSTRUCTIONS_RETIRED" : 24072 + }, + "4" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 0, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 0, + "time_enabled" : 0, + "time_running" : 0, + "LLC_MISSES" : 0, + "INSTRUCTIONS_RETIRED" : 0 + }, + "5" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 51635, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 1553, + "time_enabled" : 108519, + "time_running" : 108519, + "LLC_MISSES" : 642, + "INSTRUCTIONS_RETIRED" : 18021 + }, + "6" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 63518, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 1910, + "time_enabled" : 101443, + "time_running" : 101443, + "LLC_MISSES" : 2336, + "INSTRUCTIONS_RETIRED" : 23063 + }, + "7" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 131742, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 3961, + "time_enabled" : 209288, + "time_running" : 209288, + "LLC_MISSES" : 5967, + "INSTRUCTIONS_RETIRED" : 55970 + }, + "0" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 75510, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 2271, + "time_enabled" : 167403, + "time_running" : 167403, + "LLC_MISSES" : 1077, + "INSTRUCTIONS_RETIRED" : 31693 + }, + "1" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 43801, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 1318, + "time_enabled" : 99324, + "time_running" : 99324, + "LLC_MISSES" : 750, + "INSTRUCTIONS_RETIRED" : 15011 + }, + "2" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 75943, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 2284, + "time_enabled" : 118303, + "time_running" : 118303, + "LLC_MISSES" : 2028, + "INSTRUCTIONS_RETIRED" : 18388 + } + } + } + } + }, + { + "timestamp" : "2021-01-13T09:51:22.630", + "sensor" : "sensor_test", + "target" : "all", + "groups" : { + "rapl" : { + "0" : { + "7" : { + "RAPL_ENERGY_PKG" : 5709496320, + "time_enabled" : 1006717449, + "time_running" : 1006717449 + } + } + }, + "msr" : { + "0" : { + "3" : { + "MPERF" : 10186295, + "APERF" : 6150323, + "TSC" : 2121754824, + "time_enabled" : 1006413700, + "time_running" : 1006413700 + }, + "4" : { + "MPERF" : 24201573, + "APERF" : 10436356, + "TSC" : 2121865508, + "time_enabled" : 1006472122, + "time_running" : 1006472122 + }, + "5" : { + "MPERF" : 17879092, + "APERF" : 10289712, + "TSC" : 2121984872, + "time_enabled" : 1006530973, + "time_running" : 1006530973 + }, + "6" : { + "MPERF" : 34007870, + "APERF" : 15421716, + "TSC" : 2122038304, + "time_enabled" : 1006558126, + "time_running" : 1006558126 + }, + "7" : { + "MPERF" : 13972511, + "APERF" : 5978347, + "TSC" : 2122110822, + "time_enabled" : 1006566148, + "time_running" : 1006566148 + }, + "0" : { + "MPERF" : 29646849, + "APERF" : 12319312, + "TSC" : 2122153094, + "time_enabled" : 1006580601, + "time_running" : 1006580601 + }, + "1" : { + "MPERF" : 20587012, + "APERF" : 19838920, + "TSC" : 2122185970, + "time_enabled" : 1006560540, + "time_running" : 1006560540 + }, + "2" : { + "MPERF" : 14593955, + "APERF" : 8920739, + "TSC" : 2122333634, + "time_enabled" : 1006640193, + "time_running" : 1006640193 + } + } + } + } + }, + { + "_id" : "5ffec29a7391b52aff60cb25", + "timestamp" : "2021-01-13T09:51:22.630", + "sensor" : "sensor_test", + "target" : "mongo", + "groups" : { + "core" : { + "0" : { + "3" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 0, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 0, + "time_enabled" : 0, + "time_running" : 0, + "LLC_MISSES" : 0, + "INSTRUCTIONS_RETIRED" : 0 + }, + "4" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 523558, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 15743, + "time_enabled" : 776267, + "time_running" : 776267, + "LLC_MISSES" : 36075, + "INSTRUCTIONS_RETIRED" : 156161 + }, + "5" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 736796, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 22157, + "time_enabled" : 1188332, + "time_running" : 1188332, + "LLC_MISSES" : 47853, + "INSTRUCTIONS_RETIRED" : 247959 + }, + "6" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 350678, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 10545, + "time_enabled" : 649281, + "time_running" : 649281, + "LLC_MISSES" : 19895, + "INSTRUCTIONS_RETIRED" : 89412 + }, + "7" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 466103, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 14016, + "time_enabled" : 634350, + "time_running" : 634350, + "LLC_MISSES" : 28115, + "INSTRUCTIONS_RETIRED" : 175997 + }, + "0" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 3282451, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 98702, + "time_enabled" : 4438891, + "time_running" : 4438891, + "LLC_MISSES" : 121118, + "INSTRUCTIONS_RETIRED" : 2872655 + }, + "1" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 122499, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 3683, + "time_enabled" : 179754, + "time_running" : 179754, + "LLC_MISSES" : 8023, + "INSTRUCTIONS_RETIRED" : 41321 + }, + "2" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 0, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 0, + "time_enabled" : 0, + "time_running" : 0, + "LLC_MISSES" : 0, + "INSTRUCTIONS_RETIRED" : 0 + } + } + } + } + }, + { + "_id" : "5ffec29a7391b52aff60cb26", + "timestamp" : "2021-01-13T09:51:22.630", + "sensor" : "sensor_test", + "target" : "powerapi-sensor", + "groups" : { + "core" : { + "0" : { + "3" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 932307, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 16283, + "time_enabled" : 711870, + "time_running" : 711870, + "LLC_MISSES" : 11876, + "INSTRUCTIONS_RETIRED" : 158847 + }, + "4" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 3845305, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 102779, + "time_enabled" : 4313669, + "time_running" : 4313669, + "LLC_MISSES" : 53091, + "INSTRUCTIONS_RETIRED" : 5482273 + }, + "5" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 1084259, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 28975, + "time_enabled" : 1240389, + "time_running" : 1240389, + "LLC_MISSES" : 22033, + "INSTRUCTIONS_RETIRED" : 408392 + }, + "6" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 1023975, + "CPU_CLK_THREAD_UNHALTED:REF_P" : 27363, + "time_enabled" : 1185371, + "time_running" : 1185371, + "LLC_MISSES" : 9612, + "INSTRUCTIONS_RETIRED" : 389700 + }, + "7" : { + "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 0, + "CPU_CLK_THREAD_UNHALTED:REF_P" 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"time_running" : 1606596, + "LLC_MISSES" : 2219, + "INSTRUCTIONS_RETIRED" : 13328 + } + } + } + } + } + ] diff --git a/test/__init__.py b/test/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/test/acceptation/test_hwpc_report_with_mperf_to_zero_must_not_crash_the_system.py b/test/acceptation/test_hwpc_report_with_mperf_to_zero_must_not_crash_the_system.py index d594989..69bc23a 100644 --- a/test/acceptation/test_hwpc_report_with_mperf_to_zero_must_not_crash_the_system.py +++ b/test/acceptation/test_hwpc_report_with_mperf_to_zero_must_not_crash_the_system.py @@ -24,52 +24,66 @@ The first hwpc report contains mperf value equals to 0 Test if the system don't crash after receiving the first report and deal with the other report """ +from datetime import datetime import pytest import pymongo from smartwatts.__main__ import run_smartwatts - -from test.mongo_utils import gen_base_db_test_with_mperf_zero -from test.mongo_utils import clean_base_db_test - - -DB_URI = "mongodb://localhost:27017/" +from smartwatts.test_utils.reports import smartwatts_timeline_with_mperf_0, smartwatts_timeline +from powerapi.test_utils.actor import shutdown_system +from powerapi.test_utils.db.mongo import mongo_database +from powerapi.test_utils.db.mongo import MONGO_URI, MONGO_INPUT_COLLECTION_NAME, MONGO_OUTPUT_COLLECTION_NAME, MONGO_DATABASE_NAME @pytest.fixture -def database(): - db = gen_base_db_test_with_mperf_zero(DB_URI, 10) - yield db - clean_base_db_test(DB_URI) +def mongodb_content(smartwatts_timeline_with_mperf_0): + return smartwatts_timeline_with_mperf_0 def check_db(): - mongo = pymongo.MongoClient(DB_URI) - c_input = mongo['MongoDB1']['test_hwrep'] - c_output = mongo['MongoDB1']['test_result'] + mongo = pymongo.MongoClient(MONGO_URI) + c_input = mongo[MONGO_DATABASE_NAME][MONGO_INPUT_COLLECTION_NAME] + c_output = mongo[MONGO_DATABASE_NAME][MONGO_OUTPUT_COLLECTION_NAME] assert c_output.count_documents({}) == (c_input.count_documents({}) / 4) - 6 - for report in c_input.find()[4:20]: - if report['target'] == 'all': - query = {'timestamp': report['timestamp'], 'sensor': report['sensor'], + for report in c_input.find({'target':'all'})[1:5]: + ts = datetime.strptime(report['timestamp'], "%Y-%m-%dT%H:%M:%S.%f") + query = {'timestamp': ts, 'sensor': report['sensor'], 'target': 'rapl'} - assert c_output.count_documents(query) == 1 + assert c_output.count_documents(query) == 1 -def test_normal_behaviour(database): +def test_normal_behaviour(mongo_database, shutdown_system): config = {'verbose': 0, 'stream': False, - 'input': {'mongodb': {'puller_mongodb': {'name': 'puller_mongodb', 'model': 'HWPCReport', 'uri': DB_URI, - 'db': 'MongoDB1', 'collection': 'test_hwrep'}}}, - 'output': {'mongodb': {'power': {'model': 'PowerReport', 'name': 'power', 'uri': DB_URI, 'db': 'MongoDB1', - 'collection': 'test_result'}, - 'formula': {'model': 'FormulaReport', 'name': 'formula', 'uri': DB_URI, - 'db': 'MongoDB1', 'collection': 'test_result_formula'}}}, - 'formula': {'smartwatts': {'disable-cpu-formula': False, 'disable-dram-formula': True, 'cpu-rapl-ref-event': 'RAPL_ENERGY_PKG', - 'cpu-tdp': 125, 'cpu-base-clock': 100, 'cpu-ratio-min': 4, 'cpu-ratio-base': 19, 'cpu-ratio-max': 42, - 'cpu-error-threshold': 2.0, 'sensor-reports-frequency': 1000, 'learn-min-samples-required': 10, - 'learn-history-window-size': 60}}} + 'input': {'puller_mongodb': {'type': 'mongodb', + 'model': 'HWPCReport', + 'uri': MONGO_URI, + 'db': MONGO_DATABASE_NAME, + 'collection': MONGO_INPUT_COLLECTION_NAME}}, + 'output': {'power_pusher': {'type': 'mongodb', + 'model': 'PowerReport', + 'uri': MONGO_URI, + 'db': MONGO_DATABASE_NAME, + 'collection': MONGO_OUTPUT_COLLECTION_NAME}, + 'formula_pusher': {'type': 'mongodb', + 'model': 'FormulaReport', + 'uri': MONGO_URI, + 'db': MONGO_DATABASE_NAME, + 'collection': 'test_result_formula'}}, + 'formula': {'disable-cpu-formula': False, + 'disable-dram-formula': True, + 'cpu-rapl-ref-event': 'RAPL_ENERGY_PKG', + 'cpu-tdp': 125, + 'cpu-base-clock': 100, + 'cpu-ratio-min': 4, + 'cpu-ratio-base': 19, + 'cpu-ratio-max': 42, + 'cpu-error-threshold': 2.0, + 'sensor-reports-frequency': 1000, + 'learn-min-samples-required': 10, + 'learn-history-window-size': 60}} run_smartwatts(config) check_db() diff --git a/test/acceptation/test_normal_behaviour.py b/test/acceptation/test_normal_behaviour.py index 3ac306c..60ce0f9 100644 --- a/test/acceptation/test_normal_behaviour.py +++ b/test/acceptation/test_normal_behaviour.py @@ -15,60 +15,76 @@ # along with this program. If not, see . """ -Run smartwatts on a mongodb database that contain 10 hwpc report per target +Run smartwatts on a mongodb database that contain 10 hwpc report per target : - all - mongodb - influxdb - sensor as the model can't fit with 10 report , it should only return power report for the entire system containing RAPL data + +We test if smartwatts return 5 powerReport for rapl target """ +from datetime import datetime import pytest import pymongo from smartwatts.__main__ import run_smartwatts +from smartwatts.test_utils.reports import smartwatts_timeline -from test.mongo_utils import gen_base_db_test -from test.mongo_utils import clean_base_db_test - - -DB_URI = "mongodb://localhost:27017/" - -@pytest.fixture -def database(): - db = gen_base_db_test(DB_URI, 10) - yield db - clean_base_db_test(DB_URI) +from powerapi.test_utils.actor import shutdown_system +from powerapi.test_utils.db.mongo import mongo_database +from powerapi.test_utils.db.mongo import MONGO_URI, MONGO_INPUT_COLLECTION_NAME, MONGO_OUTPUT_COLLECTION_NAME, MONGO_DATABASE_NAME def check_db(): - mongo = pymongo.MongoClient(DB_URI) - c_input = mongo['MongoDB1']['test_hwrep'] - c_output = mongo['MongoDB1']['test_result'] + mongo = pymongo.MongoClient(MONGO_URI) + c_input = mongo[MONGO_DATABASE_NAME][MONGO_INPUT_COLLECTION_NAME] + c_output = mongo[MONGO_DATABASE_NAME][MONGO_OUTPUT_COLLECTION_NAME] assert c_output.count_documents({}) == (c_input.count_documents({}) / 4) - 5 - for report in c_input.find()[:20]: - if report['target'] == 'all': - query = {'timestamp': report['timestamp'], 'sensor': report['sensor'], + for report in c_input.find({'target': 'all'})[:5]: + ts = datetime.strptime(report['timestamp'], "%Y-%m-%dT%H:%M:%S.%f") + query = {'timestamp': ts, 'sensor': report['sensor'], 'target': 'rapl'} - assert c_output.count_documents(query) == 1 + assert c_output.count_documents(query) == 1 + +@pytest.fixture +def mongodb_content(smartwatts_timeline): + return smartwatts_timeline -def test_normal_behaviour(database): +def test_normal_behaviour(mongo_database, shutdown_system): config = {'verbose': 0, 'stream': False, - 'input': {'mongodb': {'puller_mongodb': {'name': 'puller_mongodb', 'model': 'HWPCReport', 'uri': DB_URI, - 'db': 'MongoDB1', 'collection': 'test_hwrep'}}}, - 'output': {'mongodb': {'power': {'model': 'PowerReport', 'name': 'power', 'uri': DB_URI, 'db': 'MongoDB1', - 'collection': 'test_result'}, - 'formula': {'model': 'FormulaReport', 'name': 'formula', 'uri': DB_URI, - 'db': 'MongoDB1', 'collection': 'test_result_formula'}}}, - 'formula': {'smartwatts': {'disable-cpu-formula': False, 'disable-dram-formula': True, 'cpu-rapl-ref-event': 'RAPL_ENERGY_PKG', - 'cpu-tdp': 125, 'cpu-base-clock': 100, 'cpu-ratio-min': 4, 'cpu-ratio-base': 19, 'cpu-ratio-max': 42, - 'cpu-error-threshold': 2.0, 'sensor-reports-frequency': 1000, 'learn-min-samples-required': 10, - 'learn-history-window-size': 60}}} - + 'input': {'puller_mongodb': {'type': 'mongodb', + 'model': 'HWPCReport', + 'uri': MONGO_URI, + 'db': MONGO_DATABASE_NAME, + 'collection': MONGO_INPUT_COLLECTION_NAME}}, + 'output': {'power_pusher': {'type': 'mongodb', + 'model': 'PowerReport', + 'uri': MONGO_URI, + 'db': MONGO_DATABASE_NAME, + 'collection': MONGO_OUTPUT_COLLECTION_NAME}, + 'formula_pusher': {'type': 'mongodb', + 'model': 'FormulaReport', + 'uri': MONGO_URI, + 'db': MONGO_DATABASE_NAME, + 'collection': 'test_result_formula'}}, + 'formula': {'disable-cpu-formula': False, + 'disable-dram-formula': True, + 'cpu-rapl-ref-event': 'RAPL_ENERGY_PKG', + 'cpu-tdp': 125, + 'cpu-base-clock': 100, + 'cpu-ratio-min': 4, + 'cpu-ratio-base': 19, + 'cpu-ratio-max': 42, + 'cpu-error-threshold': 2.0, + 'sensor-reports-frequency': 1000, + 'learn-min-samples-required': 10, + 'learn-history-window-size': 60}} run_smartwatts(config) check_db() diff --git a/test/acceptation/test_rapl_report_without_hwpc_report_must_not_make_formula_crash.py b/test/acceptation/test_rapl_report_without_hwpc_report_must_not_make_formula_crash.py deleted file mode 100644 index bd2fff4..0000000 --- a/test/acceptation/test_rapl_report_without_hwpc_report_must_not_make_formula_crash.py +++ /dev/null @@ -1,71 +0,0 @@ -# Copyright (C) 2018 INRIA -# Copyright (C) 2018 University of Lille -# -# This program is free software: you can redistribute it and/or modify -# it under the terms of the GNU Affero General Public License as -# published by the Free Software Foundation, either version 3 of the -# License, or (at your option) any later version. -# -# This program 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 Affero General Public License for more details. -# -# You should have received a copy of the GNU Affero General Public License -# along with this program. If not, see . - -""" -Run smartwatts on a mongodb database that contain 10 hwpc report per target and 11 rapl report -- mongodb -- influxdb -- sensor -""" -import pytest - -import pymongo - -from smartwatts.__main__ import run_smartwatts - -from test.mongo_utils import gen_base_db_test -from test.mongo_utils import clean_base_db_test - - -DB_URI = "mongodb://localhost:27017/" - -@pytest.fixture -def database(): - db = gen_base_db_test(DB_URI, 10, with_first_empty=True) - yield db - clean_base_db_test(DB_URI) - - -def check_db(): - mongo = pymongo.MongoClient(DB_URI) - c_input = mongo['MongoDB1']['test_hwrep'] - c_output = mongo['MongoDB1']['test_result'] - - assert c_output.count_documents({}) == int(c_input.count_documents({}) / 4) - - for report in c_input.find()[:20]: - if report['target'] == 'all': - query = {'timestamp': report['timestamp'], 'sensor': report['sensor'], - 'target': 'rapl'} - assert c_output.count_documents(query) == 1 - - -def test_normal_behaviour(database): - config = {'verbose': 0, - 'stream': False, - 'input': {'mongodb': {'puller_mongodb': {'name': 'puller_mongodb', 'model': 'HWPCReport', 'uri': DB_URI, - 'db': 'MongoDB1', 'collection': 'test_hwrep'}}}, - 'output': {'mongodb': {'power': {'model': 'PowerReport', 'name': 'power', 'uri': DB_URI, 'db': 'MongoDB1', - 'collection': 'test_result'}, - 'formula': {'model': 'FormulaReport', 'name': 'formula', 'uri': DB_URI, - 'db': 'MongoDB1', 'collection': 'test_result_formula'}}}, - 'formula': {'smartwatts': {'disable-cpu-formula': False, 'disable-dram-formula': True, 'cpu-rapl-ref-event': 'RAPL_ENERGY_PKG', - 'cpu-tdp': 125, 'cpu-base-clock': 100, 'cpu-ratio-min': 4, 'cpu-ratio-base': 19, 'cpu-ratio-max': 42, - 'cpu-error-threshold': 2.0, 'sensor-reports-frequency': 1000, 'learn-min-samples-required': 4, - 'learn-history-window-size': 60}}} - - run_smartwatts(config) - check_db() diff --git a/test/hwpc_reports.py b/test/hwpc_reports.py deleted file mode 100644 index d7b588c..0000000 --- a/test/hwpc_reports.py +++ /dev/null @@ -1,3054 +0,0 @@ -import time - -reports = [ - { - "_id" : "5ffec29a7391b52aff60cb23", - "timestamp" : int(time.mktime(time.strptime("2021-01-13T09:51:22.630", "%Y-%m-%dT%H:%M:%S.%f"))), - "sensor" : "sensor_test", - "target" : "influxdb", - "groups" : { - "core" : { - "0" : { - "3" : { - "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 79254, - "CPU_CLK_THREAD_UNHALTED:REF_P" : 2383, - "time_enabled" : 122154, - "time_running" : 122154, - "LLC_MISSES" : 4103, - "INSTRUCTIONS_RETIRED" : 24072 - }, - "4" : { - "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 0, - "CPU_CLK_THREAD_UNHALTED:REF_P" : 0, - "time_enabled" : 0, - "time_running" : 0, - "LLC_MISSES" : 0, - "INSTRUCTIONS_RETIRED" : 0 - }, - "5" : { - "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 51635, - "CPU_CLK_THREAD_UNHALTED:REF_P" : 1553, - "time_enabled" : 108519, - "time_running" : 108519, - "LLC_MISSES" : 642, - "INSTRUCTIONS_RETIRED" : 18021 - }, - "6" : { - "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 63518, - "CPU_CLK_THREAD_UNHALTED:REF_P" : 1910, - "time_enabled" : 101443, - "time_running" : 101443, - "LLC_MISSES" : 2336, - "INSTRUCTIONS_RETIRED" : 23063 - }, - "7" : { - "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 131742, - "CPU_CLK_THREAD_UNHALTED:REF_P" : 3961, - "time_enabled" : 209288, - "time_running" : 209288, - "LLC_MISSES" : 5967, - "INSTRUCTIONS_RETIRED" : 55970 - }, - "0" : { - "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 75510, - "CPU_CLK_THREAD_UNHALTED:REF_P" : 2271, - "time_enabled" : 167403, - "time_running" : 167403, - "LLC_MISSES" : 1077, - "INSTRUCTIONS_RETIRED" : 31693 - }, - "1" : { - "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 43801, - "CPU_CLK_THREAD_UNHALTED:REF_P" : 1318, - "time_enabled" : 99324, - "time_running" : 99324, - "LLC_MISSES" : 750, - "INSTRUCTIONS_RETIRED" : 15011 - }, - "2" : { - "CPU_CLK_THREAD_UNHALTED:THREAD_P" : 75943, - "CPU_CLK_THREAD_UNHALTED:REF_P" : 2284, - "time_enabled" : 118303, - "time_running" : 118303, - "LLC_MISSES" : 2028, - "INSTRUCTIONS_RETIRED" : 18388 - } - } - } - } - }, - { - "_id" : "5ffec29a7391b52aff60cb24", - "timestamp" : int(time.mktime(time.strptime("2021-01-13T09:51:22.630", "%Y-%m-%dT%H:%M:%S.%f"))), - "sensor" : "sensor_test", - "target" : "all", - "groups" : { - "rapl" : { - "0" : { - "7" : { - "RAPL_ENERGY_PKG" : 5709496320, - "time_enabled" : 1006717449, - "time_running" : 1006717449 - } - } - }, - "msr" : { - "0" : { - "3" : { - "MPERF" : 10186295, - "APERF" : 6150323, - "TSC" : 2121754824, - "time_enabled" : 1006413700, - "time_running" : 1006413700 - }, - "4" : { - "MPERF" : 24201573, - "APERF" : 10436356, - "TSC" : 2121865508, - "time_enabled" : 1006472122, - "time_running" : 1006472122 - }, - "5" : { - "MPERF" : 17879092, - "APERF" : 10289712, - "TSC" : 2121984872, - "time_enabled" : 1006530973, - "time_running" : 1006530973 - }, - "6" : { - "MPERF" : 34007870, - "APERF" : 15421716, - "TSC" : 2122038304, - "time_enabled" : 1006558126, - "time_running" : 1006558126 - }, - "7" : { - "MPERF" : 13972511, - "APERF" : 5978347, - "TSC" : 2122110822, - "time_enabled" : 1006566148, - "time_running" : 1006566148 - }, - "0" : { - "MPERF" : 29646849, - "APERF" : 12319312, - "TSC" : 2122153094, - 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"time_enabled" : 1606596, - "time_running" : 1606596, - "LLC_MISSES" : 2219, - "INSTRUCTIONS_RETIRED" : 13328 - } - } - } - } - } -] diff --git a/test/mongo_utils.py b/test/mongo_utils.py deleted file mode 100644 index 95ad356..0000000 --- a/test/mongo_utils.py +++ /dev/null @@ -1,167 +0,0 @@ -# Copyright (c) 2018, INRIA -# Copyright (c) 2018, University of Lille -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, this -# list of conditions and the following disclaimer. - -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. - -# * Neither the name of the copyright holder nor the names of its -# contributors may be used to endorse or promote products derived from -# this software without specific prior written permission. - -# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" -# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE -# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE -# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE -# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL -# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR -# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER -# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, -# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE -# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import datetime -import pymongo - -import test.hwpc_reports as hwpc_reports -# import test.hwpc_reports_with_first_empty as hwpc_reports_with_first_empty -# import test.hwpc_reports_msr_zero as hwpc_reports_msr_zero -def generate_colection(db, name, capped, item_generator, size=None): - """ - generate a collection and fill it - - :param db: the database to insert the collectio - :param str name: name of the collection - :param boolean capped: True if the collection must be capped, in this case, - the size parameter must be set - :param item_generator: generator that generate items to be stored on the - collection - :param int size: (in case capped is set to True) max size of the collection - """ - # delete collection if it already exist - db[name].drop() - - # create collection - if capped: - db.create_collection(name, capped=True, size=size) - else: - db.create_collection(name) - - for item in item_generator(): - db[name].insert_one(item) - - -def make_generator_unit_mongo(nb_items, with_first_empty): - """ - Generate *nb_items* HWPCReport - """ - reports = hwpc_reports.reports if not with_first_empty else hwpc_reports_with_first_empty.reports - def generator(): - for report in reports: - yield report - return generator - - -def gen_base_test_unit_mongo(uri): - """ - create a database that will be used by mongodb unit test - """ - mongo = pymongo.MongoClient(uri) - db = mongo['test_mongodb'] - - generate_colection(db, 'test_mongodb1', False, - make_generator_unit_mongo(10)) - generate_colection(db, 'test_mongodb2', True, - make_generator_unit_mongo(10), size=(256 * 40)) - generate_colection(db, 'test_mongodb3', False, - make_generator_unit_mongo(2)) - mongo.close() - - -def clean_base_test_unit_mongo(uri): - """ - drop test_mongodb1, test_mongodb2 and test_mongodb3 collections - """ - mongo = pymongo.MongoClient(uri) - db_names = mongo.list_database_names() - for name in db_names: - if "test_" in name: - for col in mongo[name].list_collection_names(): - mongo[name][col].drop() - mongo.close() - - -def make_generator_unit_filter(sensor_names): - def generator(): - for n in range(len(sensor_names)): - for i in range(2): - yield generate_hwpc_report(n * 2 + i, sensor_names[n], 'system', i) - return generator - - -def gen_base_test_unit_filter(uri): - """ - create a database that will be used by filter unit test - """ - mongo = pymongo.MongoClient(uri) - db = mongo['test_filter'] - generate_colection(db, 'test_filter1', False, make_generator_unit_filter( - ["sensor_test1", "sensor_test2", "sensor_test3"])) - mongo.close() - - -def clean_base_test_unit_filter(uri): - """ - drop test_filter1 collection - """ - mongo = pymongo.MongoClient(uri) - db = mongo['test_filter'] - db['test_filter1'].drop() - mongo.close() - - -def gen_base_db_test(uri, nb_items, with_first_empty=False): - """ - Generate a mongoDB database named MongoDB1 containing *nb_items* HWPC report - in the test_hwrep collection - """ - mongo = pymongo.MongoClient(uri) - db = mongo['MongoDB1'] - generate_colection(db, 'test_hwrep', False, - make_generator_unit_mongo(nb_items, with_first_empty)) - mongo.close() - - -def gen_base_db_test_with_mperf_zero(uri, nb_items): - """ - Generate a mongoDB database named MongoDB1 containing *nb_items* HWPC report - in the test_hwrep collection - """ - mongo = pymongo.MongoClient(uri) - db = mongo['MongoDB1'] - - def generator(): - for report in hwpc_reports_msr_zero.reports: - yield report - - generate_colection(db, 'test_hwrep', False, generator) - mongo.close() - -def clean_base_db_test(uri): - """ - drop test_hwrep and test_result collections - """ - mongo = pymongo.MongoClient(uri) - db = mongo['MongoDB1'] - db['test_hwrep'].drop() - - db['test_result'].drop() - db['test_result_formula'].drop() - mongo.close()