bianbu-linux-6.6/tools/perf/scripts/python/gecko.py
Anup Sharma 5aacd7f08a perf scripts python: Add classes and conversion functions
This commit introduces new classes and conversion functions to
facilitate the representation of Gecko profile information. The new
classes Frame, Stack, Sample, and Thread are added to handle specific
components of the profile data, also link to the origin docs has been
commented out.

Additionally, Inside the Thread class _to_json_dict() method has been
created that converts the current thread data into the corresponding
format expected by the GeckoThread JSON schema, as per the Gecko
profile format specification.

Signed-off-by: Anup Sharma <anupnewsmail@gmail.com>
Cc: Adrian Hunter <adrian.hunter@intel.com>
Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com>
Cc: Ian Rogers <irogers@google.com>
Cc: Ingo Molnar <mingo@redhat.com>
Cc: Jiri Olsa <jolsa@kernel.org>
Cc: Mark Rutland <mark.rutland@arm.com>
Cc: Namhyung Kim <namhyung@kernel.org>
Cc: Peter Zijlstra <peterz@infradead.org>
Link: https://lore.kernel.org/r/ab7b40bd32df7101a6f8b4a3aa41570b63b831ac.1689961706.git.anupnewsmail@gmail.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
2023-07-28 19:01:16 -03:00

174 lines
5.3 KiB
Python

# firefox-gecko-converter.py - Convert perf record output to Firefox's gecko profile format
# SPDX-License-Identifier: GPL-2.0
#
# The script converts perf.data to Gecko Profile Format,
# which can be read by https://profiler.firefox.com/.
#
# Usage:
#
# perf record -a -g -F 99 sleep 60
# perf script report gecko > output.json
import os
import sys
from dataclasses import dataclass, field
from typing import List, Dict, Optional, NamedTuple, Set, Tuple, Any
# Add the Perf-Trace-Util library to the Python path
sys.path.append(os.environ['PERF_EXEC_PATH'] + \
'/scripts/python/Perf-Trace-Util/lib/Perf/Trace')
from perf_trace_context import *
from Core import *
StringID = int
StackID = int
FrameID = int
CategoryID = int
Milliseconds = float
# start_time is intialiazed only once for the all event traces.
start_time = None
# https://github.com/firefox-devtools/profiler/blob/53970305b51b9b472e26d7457fee1d66cd4e2737/src/types/gecko-profile.js#L156
class Frame(NamedTuple):
string_id: StringID
relevantForJS: bool
innerWindowID: int
implementation: None
optimizations: None
line: None
column: None
category: CategoryID
subcategory: int
# https://github.com/firefox-devtools/profiler/blob/53970305b51b9b472e26d7457fee1d66cd4e2737/src/types/gecko-profile.js#L216
class Stack(NamedTuple):
prefix_id: Optional[StackID]
frame_id: FrameID
# https://github.com/firefox-devtools/profiler/blob/53970305b51b9b472e26d7457fee1d66cd4e2737/src/types/gecko-profile.js#L90
class Sample(NamedTuple):
stack_id: Optional[StackID]
time_ms: Milliseconds
responsiveness: int
@dataclass
class Thread:
"""A builder for a profile of the thread.
Attributes:
comm: Thread command-line (name).
pid: process ID of containing process.
tid: thread ID.
samples: Timeline of profile samples.
frameTable: interned stack frame ID -> stack frame.
stringTable: interned string ID -> string.
stringMap: interned string -> string ID.
stackTable: interned stack ID -> stack.
stackMap: (stack prefix ID, leaf stack frame ID) -> interned Stack ID.
frameMap: Stack Frame string -> interned Frame ID.
comm: str
pid: int
tid: int
samples: List[Sample] = field(default_factory=list)
frameTable: List[Frame] = field(default_factory=list)
stringTable: List[str] = field(default_factory=list)
stringMap: Dict[str, int] = field(default_factory=dict)
stackTable: List[Stack] = field(default_factory=list)
stackMap: Dict[Tuple[Optional[int], int], int] = field(default_factory=dict)
frameMap: Dict[str, int] = field(default_factory=dict)
"""
comm: str
pid: int
tid: int
samples: List[Sample] = field(default_factory=list)
frameTable: List[Frame] = field(default_factory=list)
stringTable: List[str] = field(default_factory=list)
stringMap: Dict[str, int] = field(default_factory=dict)
stackTable: List[Stack] = field(default_factory=list)
stackMap: Dict[Tuple[Optional[int], int], int] = field(default_factory=dict)
frameMap: Dict[str, int] = field(default_factory=dict)
def _to_json_dict(self) -> Dict:
"""Converts current Thread to GeckoThread JSON format."""
# Gecko profile format is row-oriented data as List[List],
# And a schema for interpreting each index.
# Schema:
# https://github.com/firefox-devtools/profiler/blob/main/docs-developer/gecko-profile-format.md
# https://github.com/firefox-devtools/profiler/blob/53970305b51b9b472e26d7457fee1d66cd4e2737/src/types/gecko-profile.js#L230
return {
"tid": self.tid,
"pid": self.pid,
"name": self.comm,
# https://github.com/firefox-devtools/profiler/blob/53970305b51b9b472e26d7457fee1d66cd4e2737/src/types/gecko-profile.js#L51
"markers": {
"schema": {
"name": 0,
"startTime": 1,
"endTime": 2,
"phase": 3,
"category": 4,
"data": 5,
},
"data": [],
},
# https://github.com/firefox-devtools/profiler/blob/53970305b51b9b472e26d7457fee1d66cd4e2737/src/types/gecko-profile.js#L90
"samples": {
"schema": {
"stack": 0,
"time": 1,
"responsiveness": 2,
},
"data": self.samples
},
# https://github.com/firefox-devtools/profiler/blob/53970305b51b9b472e26d7457fee1d66cd4e2737/src/types/gecko-profile.js#L156
"frameTable": {
"schema": {
"location": 0,
"relevantForJS": 1,
"innerWindowID": 2,
"implementation": 3,
"optimizations": 4,
"line": 5,
"column": 6,
"category": 7,
"subcategory": 8,
},
"data": self.frameTable,
},
# https://github.com/firefox-devtools/profiler/blob/53970305b51b9b472e26d7457fee1d66cd4e2737/src/types/gecko-profile.js#L216
"stackTable": {
"schema": {
"prefix": 0,
"frame": 1,
},
"data": self.stackTable,
},
"stringTable": self.stringTable,
"registerTime": 0,
"unregisterTime": None,
"processType": "default",
}
# Uses perf script python interface to parse each
# event and store the data in the thread builder.
def process_event(param_dict: Dict) -> None:
global start_time
global tid_to_thread
time_stamp = (param_dict['sample']['time'] // 1000) / 1000
pid = param_dict['sample']['pid']
tid = param_dict['sample']['tid']
comm = param_dict['comm']
# Start time is the time of the first sample
if not start_time:
start_time = time_stamp
# Trace_end runs at the end and will be used to aggregate
# the data into the final json object and print it out to stdout.
def trace_end() -> None:
pass