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# Copyright 2015-2017 ARM Limited
#
# 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.
#
"""Definitions of scheduler events registered by the FTrace class"""
from trappy.base import Base
from trappy.dynamic import register_ftrace_parser, register_dynamic_ftrace
class SchedLoadAvgSchedGroup(Base):
"""Corresponds to Linux kernel trace event sched_load_avg_sched_group"""
unique_word = "sched_load_avg_sg:"
"""The unique word that will be matched in a trace line"""
_cpu_mask_column = "cpus"
pivot = "cpus"
"""The Pivot along which the data is orthogonal"""
def finalize_object(self):
"""This condition is necessary to force column 'cpus' to be printed
as 8 digits w/ leading 0
"""
if self._cpu_mask_column in self.data_frame.columns:
dfr = self.data_frame[self._cpu_mask_column].apply('{:0>8}'.format)
self.data_frame[self._cpu_mask_column] = dfr
register_ftrace_parser(SchedLoadAvgSchedGroup, "sched")
class SchedLoadAvgTask(Base):
"""Corresponds to Linux kernel trace event sched_load_avg_task"""
unique_word = "sched_load_avg_task:"
"""The unique word that will be matched in a trace line"""
pivot = "pid"
"""The Pivot along which the data is orthogonal"""
def get_pids(self, key=""):
"""Returns a list of (comm, pid) that contain
'key' in their 'comm'."""
dfr = self.data_frame.drop_duplicates(subset=['comm', 'pid'])
dfr = dfr.ix[:, ['comm', 'pid']]
return dfr[dfr['comm'].str.contains(key)].values.tolist()
register_ftrace_parser(SchedLoadAvgTask, "sched")
# pylint doesn't like globals that are not ALL_CAPS
# pylint: disable=invalid-name
SchedLoadAvgCpu = register_dynamic_ftrace("SchedLoadAvgCpu",
"sched_load_avg_cpu:", "sched",
pivot="cpu")
"""Load and Utilization Signals for CPUs"""
SchedContribScaleFactor = register_dynamic_ftrace("SchedContribScaleFactor",
"sched_contrib_scale_f:",
"sched")
"""Event to register tracing of contrib factor"""
class SchedCpuCapacity(Base):
"""Corresponds to Linux kernel trace event sched/cpu_capacity"""
unique_word = "cpu_capacity:"
"""The unique word that will be matched in a trace line"""
pivot = "cpu"
"""The Pivot along which the data is orthogonal"""
def finalize_object(self):
"""This renaming is necessary because our cpu related pivot is 'cpu'
and not 'cpu_id'. Otherwise you cannot 'mix and match' with other
classes
"""
self.data_frame.rename(columns={'cpu_id':'cpu'}, inplace=True)
self.data_frame.rename(columns={'state' :'capacity'}, inplace=True)
register_ftrace_parser(SchedCpuCapacity, "sched")
SchedWakeup = register_dynamic_ftrace("SchedWakeup", "sched_wakeup:", "sched",
parse_raw=True)
"""Register SchedWakeup Event"""
SchedWakeupNew = register_dynamic_ftrace("SchedWakeupNew", "sched_wakeup_new:",
"sched", parse_raw=True)
"""Register SchedWakeupNew Event"""
# pylint: enable=invalid-name
class SchedSwitch(Base):
"""Parse sched_switch"""
unique_word = "sched_switch:"
def __init__(self):
super(SchedSwitch, self).__init__(parse_raw=True)
def append_data(self, time, comm, pid, tgid, cpu, data):
data_rep = data.replace(" ==> ", " ")
super(SchedSwitch, self).append_data(time, comm, pid, tgid, cpu,
data_rep)
register_ftrace_parser(SchedSwitch, "sched")
class SchedCpuFrequency(Base):
"""Corresponds to Linux kernel trace event power/cpu_frequency"""
unique_word = "cpu_frequency:"
"""The unique word that will be matched in a trace line"""
pivot = "cpu"
"""The Pivot along which the data is orthogonal"""
def finalize_object(self):
"""This renaming is necessary because our cpu related pivot is 'cpu'
and not 'cpu_id'. Otherwise you cannot 'mix and match' with other
classes
"""
self.data_frame.rename(columns={'cpu_id':'cpu'}, inplace=True)
self.data_frame.rename(columns={'state' :'frequency'}, inplace=True)
register_ftrace_parser(SchedCpuFrequency, "sched")
register_dynamic_ftrace("SchedMigrateTask", "sched_migrate_task:", "sched")
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