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# task-analyzer.py - comprehensive perf tasks analysis
# SPDX-License-Identifier: GPL-2.0
# Copyright (c) 2022, Hagen Paul Pfeifer <hagen@jauu.net>
# Licensed under the terms of the GNU GPL License version 2
#
# Usage:
#
#     perf record -e sched:sched_switch -a -- sleep 10
#     perf script report task-analyzer
#

from __future__ import print_function
import sys
import os
import string
import argparse
import decimal


sys.path.append(
    os.environ["PERF_EXEC_PATH"] + "/scripts/python/Perf-Trace-Util/lib/Perf/Trace"
)
from perf_trace_context import *
from Core import *

# Definition of possible ASCII color codes
_COLORS = {
    "grey": "\033[90m",
    "red": "\033[91m",
    "green": "\033[92m",
    "yellow": "\033[93m",
    "blue": "\033[94m",
    "violet": "\033[95m",
    "reset": "\033[0m",
}

# Columns will have a static size to align everything properly
# Support of 116 days of active update with nano precision
LEN_SWITCHED_IN = len("9999999.999999999")  # 17
LEN_SWITCHED_OUT = len("9999999.999999999")  # 17
LEN_CPU = len("000")
LEN_PID = len("maxvalue")  # 8
LEN_TID = len("maxvalue")  # 8
LEN_COMM = len("max-comms-length")  # 16
LEN_RUNTIME = len("999999.999")  # 10
# Support of 3.45 hours of timespans
LEN_OUT_IN = len("99999999999.999")  # 15
LEN_OUT_OUT = len("99999999999.999")  # 15
LEN_IN_IN = len("99999999999.999")  # 15
LEN_IN_OUT = len("99999999999.999")  # 15


# py2/py3 compatibility layer, see PEP469
try:
    dict.iteritems
except AttributeError:
    # py3
    def itervalues(d):
        return iter(d.values())

    def iteritems(d):
        return iter(d.items())

else:
    # py2
    def itervalues(d):
        return d.itervalues()

    def iteritems(d):
        return d.iteritems()


def _check_color():
    global _COLORS
    """user enforced no-color or if stdout is no tty we disable colors"""
    if sys.stdout.isatty() and args.stdio_color != "never":
        return
    _COLORS = {
        "grey": "",
        "red": "",
        "green": "",
        "yellow": "",
        "blue": "",
        "violet": "",
        "reset": "",
    }


def _parse_args():
    global args
    parser = argparse.ArgumentParser(description="Analyze tasks behavior")
    parser.add_argument(
        "--time-limit",
        default=[],
        help=
            "print tasks only in time[s] window e.g"
        " --time-limit 123.111:789.222(print all between 123.111 and 789.222)"
        " --time-limit 123: (print all from 123)"
        " --time-limit :456 (print all until incl. 456)",
    )
    parser.add_argument(
        "--summary", action="store_true", help="print addtional runtime information"
    )
    parser.add_argument(
        "--summary-only", action="store_true", help="print only summary without traces"
    )
    parser.add_argument(
        "--summary-extended",
        action="store_true",
        help="print the summary with additional information of max inter task times"
            " relative to the prev task",
    )
    parser.add_argument(
        "--ns", action="store_true", help="show timestamps in nanoseconds"
    )
    parser.add_argument(
        "--ms", action="store_true", help="show timestamps in miliseconds"
    )
    parser.add_argument(
        "--extended-times",
        action="store_true",
        help="Show the elapsed times between schedule in/schedule out"
            " of this task and the schedule in/schedule out of previous occurrence"
            " of the same task",
    )
    parser.add_argument(
        "--filter-tasks",
        default=[],
        help="filter out unneeded tasks by tid, pid or processname."
        " E.g --filter-task 1337,/sbin/init ",
    )
    parser.add_argument(
        "--limit-to-tasks",
        default=[],
        help="limit output to selected task by tid, pid, processname."
        " E.g --limit-to-tasks 1337,/sbin/init",
    )
    parser.add_argument(
        "--highlight-tasks",
        default="",
        help="colorize special tasks by their pid/tid/comm."
        " E.g. --highlight-tasks 1:red,mutt:yellow"
        " Colors available: red,grey,yellow,blue,violet,green",
    )
    parser.add_argument(
        "--rename-comms-by-tids",
        default="",
        help="rename task names by using tid (<tid>:<newname>,<tid>:<newname>)"
            " This option is handy for inexpressive processnames like python interpreted"
            " process. E.g --rename 1337:my-python-app",
    )
    parser.add_argument(
        "--stdio-color",
        default="auto",
        choices=["always", "never", "auto"],
        help="always, never or auto, allowing configuring color output"
            " via the command line",
    )
    args = parser.parse_args()
    args.tid_renames = dict()

    _argument_filter_sanity_check()
    _argument_prepare_check()


def time_uniter(unit):
    picker = {
        "s": 1,
        "ms": 1e3,
        "us": 1e6,
        "ns": 1e9,
    }
    return picker[unit]


def _init_db():
    global db
    db = dict()
    db["running"] = dict()
    db["cpu"] = dict()
    db["tid"] = dict()
    db["global"] = []
    if args.summary or args.summary_extended or args.summary_only:
        db["task_info"] = dict()
        db["runtime_info"] = dict()
        # min values for summary depending on the header
        db["task_info"]["pid"] = len("PID")
        db["task_info"]["tid"] = len("TID")
        db["task_info"]["comm"] = len("Comm")
        db["runtime_info"]["runs"] = len("Runs")
        db["runtime_info"]["acc"] = len("Accumulated")
        db["runtime_info"]["max"] = len("Max")
        db["runtime_info"]["max_at"] = len("Max At")
        db["runtime_info"]["min"] = len("Min")
        db["runtime_info"]["mean"] = len("Mean")
        db["runtime_info"]["median"] = len("Median")
        if args.summary_extended:
            db["inter_times"] = dict()
            db["inter_times"]["out_in"] = len("Out-In")
            db["inter_times"]["inter_at"] = len("At")
            db["inter_times"]["out_out"] = len("Out-Out")
            db["inter_times"]["in_in"] = len("In-In")
            db["inter_times"]["in_out"] = len("In-Out")


def _median(numbers):
    """phython3 hat statistics module - we have nothing"""
    n = len(numbers)
    index = n // 2
    if n % 2:
        return sorted(numbers)[index]
    return sum(sorted(numbers)[index - 1 : index + 1]) / 2


def _mean(numbers):
    return sum(numbers) / len(numbers)


class Timespans(object):
    """
    The elapsed time between two occurrences of the same task is being tracked with the
    help of this class. There