Source code for galaxy.jobs.metrics.instrumenters.collectl

"""The module describes the ``collectl`` job metrics plugin."""
import logging
import os
import shutil

from galaxy import util
from . import InstrumentPlugin
from .. import formatting
from ..collectl import (
    cli,
    processes,
    subsystems
)

log = logging.getLogger(__name__)

# By default, only grab statistics for user processes (as identified by
# username).
DEFAULT_PROCFILT_ON = "username"
DEFAULT_SUBSYSTEMS = "process"
# Set to zero to flush every collection.
DEFAULT_FLUSH_INTERVAL = "0"

FORMATTED_RESOURCE_TITLES = {
    "PCT": "Percent CPU Usage",
    "RSYS": "Disk Reads",
    "WSYS": "Disk Writes",
}

EMPTY_COLLECTL_FILE_MESSAGE = "Skipping process summary due to empty file... job probably did not run long enough for collectl to gather data."


class CollectlFormatter(formatting.JobMetricFormatter):

    def format(self, key, value):
        if key == "pid":
            return ("Process ID", int(value))
        elif key == "raw_log_path":
            return ("Relative Path of Full Collectl Log", value)
        elif key == "process_max_AccumT":
            return ("Job Runtime (System+User)", formatting.seconds_to_str(float(value)))
        else:
            _, stat_type, resource_type = key.split("_", 2)
            if resource_type.startswith("Vm"):
                value_str = "%s KB" % int(value)
            elif resource_type in ["RSYS", "WSYS"] and stat_type in ["count", "max", "sum"]:
                value_str = "%d (# system calls)" % int(value)
            else:
                value_str = str(value)
            resource_title = FORMATTED_RESOURCE_TITLES.get(resource_type, resource_type)
            return ("%s (%s)" % (resource_title, stat_type), value_str)


[docs]class CollectlPlugin(InstrumentPlugin):
    """ Run collectl along with job to capture system and/or process data
    according to specified collectl subsystems.
    """
    plugin_type = "collectl"
    formatter = CollectlFormatter()

[docs]    def __init__(self, **kwargs):
        self.__configure_paths(kwargs)
        self.__configure_subsystems(kwargs)
        saved_logs_path = kwargs.get("saved_logs_path", "")
        if "app" in kwargs:
            log.debug("Found path for saved logs: %s" % saved_logs_path)
            saved_logs_path = kwargs["app"].config.resolve_path(saved_logs_path)
        self.saved_logs_path = saved_logs_path
        self.__configure_collectl_recorder_args(kwargs)
        self.summarize_process_data = util.asbool(kwargs.get("summarize_process_data", True))
        self.log_collectl_program_output = util.asbool(kwargs.get("log_collectl_program_output", False))
        if self.summarize_process_data:
            if subsystems.get_subsystem("process") not in self.subsystems:
                raise Exception("Collectl plugin misconfigured - cannot summarize_process_data without process subsystem being enabled.")

            process_statistics = kwargs.get("process_statistics", None)
            # None will let processes module use default set of statistics
            # defined there.
            self.process_statistics = processes.parse_process_statistics(process_statistics)

[docs]    def pre_execute_instrument(self, job_directory):
        commands = []
        # Capture PID of process so we can walk its ancestors when building
        # statistics for the whole job.
        commands.append('''echo "$$" > '%s' ''' % self.__pid_file(job_directory))
        # Run collectl in record mode to capture process and system level
        # statistics according to supplied subsystems.
        commands.append(self.__collectl_record_command(job_directory))
        return commands

[docs]    def post_execute_instrument(self, job_directory):
        commands = []
        # collectl dies when job script completes, perhaps capture pid of
        # collectl above and check if it is still alive to allow tracking if
        # collectl ran successfully through the whole job.
        return commands

[docs]    def job_properties(self, job_id, job_directory):
        pid = open(self.__pid_file(job_directory), "r").read().strip()
        contents = os.listdir(job_directory)
        try:
            rel_path = filter(self._is_instrumented_collectl_log, contents)[0]
            path = os.path.join(job_directory, rel_path)
        except IndexError:
            message = "Failed to find collectl log in directory %s, files were %s" % (job_directory, contents)
            raise Exception(message)

        properties = dict(
            pid=int(pid),
        )

        if self.saved_logs_path:
            destination_rel_dir = os.path.join(*util.directory_hash_id(job_id))
            destination_rel_path = os.path.join(destination_rel_dir, rel_path)
            destination_path = os.path.join(self.saved_logs_path, destination_rel_path)
            destination_dir = os.path.dirname(destination_path)
            if not os.path.isdir(destination_dir):
                os.makedirs(destination_dir)
            shutil.copyfile(path, destination_path)
            properties["raw_log_path"] = destination_rel_path

        if self.summarize_process_data:
            # Run collectl in playback and generate statistics of interest
            summary_statistics = self.__summarize_process_data(pid, path)
            for statistic, value in summary_statistics:
                properties["process_%s" % "_".join(statistic)] = value

        return properties

    def __configure_paths(self, kwargs):
        # 95% of time I would expect collectl to just be installed with apt or
        # yum, but if it is manually installed on not on path, allow
        # configuration of explicit path - and allow path to be different
        # between galaxy job handler (local_collectl_path) and compute node
        # (remote_collectl_path).
        collectl_path = kwargs.get("collectl_path", "collectl")
        self.remote_collectl_path = kwargs.get("remote_collectl_path", collectl_path)
        self.local_collectl_path = kwargs.get("local_collectl_path", collectl_path)

    def __configure_subsystems(self, kwargs):
        raw_subsystems_str = kwargs.get("subsystems", DEFAULT_SUBSYSTEMS)
        raw_subsystems = util.listify(raw_subsystems_str, do_strip=True)
        self.subsystems = [subsystems.get_subsystem(_) for _ in raw_subsystems]

    def __configure_collectl_recorder_args(self, kwargs):
        collectl_recorder_args = kwargs.copy()

        # Allow deployer to configure separate system and process intervals,
        # but if they specify just one - use it for both. Thinking here is this
        # plugin's most useful feature is the process level information so
        # this is likely what the deployer is attempting to configure.
        if "interval" in kwargs and "interval2" not in kwargs:
            collectl_recorder_args["interval2"] = kwargs["interval"]

        if "flush" not in kwargs:
            collectl_recorder_args["flush"] = DEFAULT_FLUSH_INTERVAL

        procfilt_on = kwargs.get("procfilt_on", DEFAULT_PROCFILT_ON).lower()
        # Calculate explicit arguments, rest can just be passed through from
        # constructor arguments.
        explicit_args = dict(
            collectl_path=self.remote_collectl_path,
            procfilt=procfilt_argument(procfilt_on),
            subsystems=self.subsystems,
        )
        collectl_recorder_args.update(explicit_args)
        self.collectl_recorder_args = collectl_recorder_args

    def __summarize_process_data(self, pid, collectl_log_path):
        playback_cli_args = dict(
            collectl_path=self.local_collectl_path,
            playback_path=collectl_log_path,
            sep="9"
        )
        if not os.stat(collectl_log_path).st_size:
            log.debug(EMPTY_COLLECTL_FILE_MESSAGE)
            return []

        playback_cli = cli.CollectlCli(**playback_cli_args)
        return processes.generate_process_statistics(playback_cli, pid, self.process_statistics)

    def __collectl_recorder_cli(self, job_directory):
        cli_args = self.collectl_recorder_args.copy()
        cli_args["destination_path"] = self._instrument_file_path(job_directory, "log")
        return cli.CollectlCli(**cli_args)

    def __collectl_record_command(self, job_directory):
        collectl_cli = self.__collectl_recorder_cli(job_directory)
        if self.log_collectl_program_output:
            redirect_to = self._instrument_file_path(job_directory, "program_output")
        else:
            redirect_to = "/dev/null"
        return "%s > %s 2>&1 &" % (
            collectl_cli.build_command_line(),
            redirect_to,
        )

    def __pid_file(self, job_directory):
        return self._instrument_file_path(job_directory, "pid")

    def _is_instrumented_collectl_log(self, filename):
        prefix = self._instrument_file_name("log")
        return filename.startswith(prefix) and filename.endswith(".raw.gz")


def procfilt_argument(procfilt_on):
    if procfilt_on == "username":
        return "U$USER"
    elif procfilt_on == "uid":
        return "u$UID"
    else:
        # Ensure it is empty of None
        if procfilt_on or procfilt_on.lower() != "none":
            raise Exception("Invalid procfilt_on argument encountered")
        return ""


__all__ = ('CollectlPlugin', )