blob: 75b56bac29a228d22b36a0bc8baa1f7780839b6f [file] [log] [blame]
#!/usr/bin/env python3
# Copyright (C) 2017 The Android Open Source Project
# 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
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import annotations
import argparse
import collections
from concurrent.futures import Future, ThreadPoolExecutor
from dataclasses import dataclass
import datetime
import json
import logging
import os
from pathlib import Path
import sys
from typing import Any, Callable, Dict, Iterator, List, Optional, Set, Tuple, Union
from simpleperf_report_lib import ReportLib, SymbolStruct
from simpleperf_utils import (
Addr2Nearestline, AddrRange, BaseArgumentParser, BinaryFinder, Disassembly, get_script_dir,
log_exit, Objdump, open_report_in_browser, ReadElf, ReportLibOptions, SourceFileSearcher)
class HtmlWriter(object):
def __init__(self, output_path: Union[Path, str]):
self.fh = open(output_path, 'w')
self.tag_stack = []
def close(self):
def open_tag(self, tag: str, **attrs: Dict[str, str]) -> HtmlWriter:
attr_str = ''
for key in attrs:
attr_str += ' %s="%s"' % (key, attrs[key])
self.fh.write('<%s%s>' % (tag, attr_str))
return self
def close_tag(self, tag: Optional[str] = None):
if tag:
assert tag == self.tag_stack[-1]
self.fh.write('</%s>\n' % self.tag_stack.pop())
def add(self, text: str) -> HtmlWriter:
return self
def add_file(self, file_path: Union[Path, str]) -> HtmlWriter:
file_path = os.path.join(get_script_dir(), file_path)
with open(file_path, 'r') as f:
return self
def modify_text_for_html(text: str) -> str:
return text.replace('>', '&gt;').replace('<', '&lt;')
def hex_address_for_json(addr: int) -> str:
""" To handle big addrs (nears uint64_max) in Javascript, store addrs as hex strings in Json.
return '0x%x' % addr
class EventScope(object):
def __init__(self, name: str): = name
self.processes: Dict[int, ProcessScope] = {} # map from pid to ProcessScope
self.sample_count = 0
self.event_count = 0
def get_process(self, pid: int) -> ProcessScope:
process = self.processes.get(pid)
if not process:
process = self.processes[pid] = ProcessScope(pid)
return process
def get_sample_info(self, gen_addr_hit_map: bool) -> Dict[str, Any]:
result = {}
result['eventName'] =
result['eventCount'] = self.event_count
processes = sorted(self.processes.values(), key=lambda a: a.event_count, reverse=True)
result['processes'] = [process.get_sample_info(gen_addr_hit_map)
for process in processes]
return result
def threads(self) -> Iterator[ThreadScope]:
for process in self.processes.values():
for thread in process.threads.values():
yield thread
def libraries(self) -> Iterator[LibScope]:
for process in self.processes.values():
for thread in process.threads.values():
for lib in thread.libs.values():
yield lib
class ProcessScope(object):
def __init__(self, pid: int): = pid = ''
self.event_count = 0
self.threads: Dict[int, ThreadScope] = {} # map from tid to ThreadScope
def get_thread(self, tid: int, thread_name: str) -> ThreadScope:
thread = self.threads.get(tid)
if not thread:
thread = self.threads[tid] = ThreadScope(tid) = thread_name
if == tid: = thread_name
return thread
def get_sample_info(self, gen_addr_hit_map: bool) -> Dict[str, Any]:
result = {}
result['pid'] =
result['eventCount'] = self.event_count
# Sorting threads by sample count is better for profiles recorded with --trace-offcpu.
threads = sorted(self.threads.values(), key=lambda a: a.sample_count, reverse=True)
result['threads'] = [thread.get_sample_info(gen_addr_hit_map)
for thread in threads]
return result
def merge_by_thread_name(self, process: ProcessScope):
self.event_count += process.event_count
thread_list: List[ThreadScope] = list(
self.threads.values()) + list(process.threads.values())
new_threads: Dict[str, ThreadScope] = {} # map from thread name to ThreadScope
for thread in thread_list:
cur_thread = new_threads.get(
if cur_thread is None:
new_threads[] = thread
self.threads = {}
for thread in new_threads.values():
self.threads[thread.tid] = thread
class ThreadScope(object):
def __init__(self, tid: int):
self.tid = tid = ''
self.event_count = 0
self.sample_count = 0
self.libs: Dict[int, LibScope] = {} # map from lib_id to LibScope
self.call_graph = CallNode(-1)
self.reverse_call_graph = CallNode(-1)
def add_callstack(
self, event_count: int, callstack: List[Tuple[int, int, int]],
build_addr_hit_map: bool):
""" callstack is a list of tuple (lib_id, func_id, addr).
For each i > 0, callstack[i] calls callstack[i-1]."""
hit_func_ids: Set[int] = set()
for i, (lib_id, func_id, addr) in enumerate(callstack):
# When a callstack contains recursive function, only add for each function once.
if func_id in hit_func_ids:
lib = self.libs.get(lib_id)
if not lib:
lib = self.libs[lib_id] = LibScope(lib_id)
function = lib.get_function(func_id)
function.subtree_event_count += event_count
if i == 0:
lib.event_count += event_count
function.event_count += event_count
function.sample_count += 1
if build_addr_hit_map:
function.build_addr_hit_map(addr, event_count if i == 0 else 0, event_count)
# build call graph and reverse call graph
node = self.call_graph
for item in reversed(callstack):
node = node.get_child(item[1])
node.event_count += event_count
node = self.reverse_call_graph
for item in callstack:
node = node.get_child(item[1])
node.event_count += event_count
def update_subtree_event_count(self):
def limit_percents(self, min_func_limit: float, min_callchain_percent: float,
hit_func_ids: Set[int]):
for lib in self.libs.values():
to_del_funcs = []
for function in lib.functions.values():
if function.subtree_event_count < min_func_limit:
for func_id in to_del_funcs:
del lib.functions[func_id]
min_limit = min_callchain_percent * 0.01 * self.call_graph.subtree_event_count
self.call_graph.cut_edge(min_limit, hit_func_ids)
self.reverse_call_graph.cut_edge(min_limit, hit_func_ids)
def get_sample_info(self, gen_addr_hit_map: bool) -> Dict[str, Any]:
result = {}
result['tid'] = self.tid
result['eventCount'] = self.event_count
result['sampleCount'] = self.sample_count
result['libs'] = [lib.gen_sample_info(gen_addr_hit_map)
for lib in self.libs.values()]
result['g'] = self.call_graph.gen_sample_info()
result['rg'] = self.reverse_call_graph.gen_sample_info()
return result
def merge(self, thread: ThreadScope):
self.event_count += thread.event_count
self.sample_count += thread.sample_count
for lib_id, lib in thread.libs.items():
cur_lib = self.libs.get(lib_id)
if cur_lib is None:
self.libs[lib_id] = lib
def sort_call_graph_by_function_name(self, get_func_name: Callable[[int], str]) -> None:
class LibScope(object):
def __init__(self, lib_id: int):
self.lib_id = lib_id
self.event_count = 0
self.functions: Dict[int, FunctionScope] = {} # map from func_id to FunctionScope.
def get_function(self, func_id: int) -> FunctionScope:
function = self.functions.get(func_id)
if not function:
function = self.functions[func_id] = FunctionScope(func_id)
return function
def gen_sample_info(self, gen_addr_hit_map: bool) -> Dict[str, Any]:
result = {}
result['libId'] = self.lib_id
result['eventCount'] = self.event_count
result['functions'] = [func.gen_sample_info(gen_addr_hit_map)
for func in self.functions.values()]
return result
def merge(self, lib: LibScope):
self.event_count += lib.event_count
for func_id, function in lib.functions.items():
cur_function = self.functions.get(func_id)
if cur_function is None:
self.functions[func_id] = function
class FunctionScope(object):
def __init__(self, func_id: int):
self.func_id = func_id
self.sample_count = 0
self.event_count = 0
self.subtree_event_count = 0
self.addr_hit_map = None # map from addr to [event_count, subtree_event_count].
# map from (source_file_id, line) to [event_count, subtree_event_count].
self.line_hit_map = None
def build_addr_hit_map(self, addr: int, event_count: int, subtree_event_count: int):
if self.addr_hit_map is None:
self.addr_hit_map = {}
count_info = self.addr_hit_map.get(addr)
if count_info is None:
self.addr_hit_map[addr] = [event_count, subtree_event_count]
count_info[0] += event_count
count_info[1] += subtree_event_count
def build_line_hit_map(self, source_file_id: int, line: int, event_count: int,
subtree_event_count: int):
if self.line_hit_map is None:
self.line_hit_map = {}
key = (source_file_id, line)
count_info = self.line_hit_map.get(key)
if count_info is None:
self.line_hit_map[key] = [event_count, subtree_event_count]
count_info[0] += event_count
count_info[1] += subtree_event_count
def gen_sample_info(self, gen_addr_hit_map: bool) -> Dict[str, Any]:
result = {}
result['f'] = self.func_id
result['c'] = [self.sample_count, self.event_count, self.subtree_event_count]
if self.line_hit_map:
items = []
for key in self.line_hit_map:
count_info = self.line_hit_map[key]
item = {'f': key[0], 'l': key[1], 'e': count_info[0], 's': count_info[1]}
result['s'] = items
if gen_addr_hit_map and self.addr_hit_map:
items = []
for addr in sorted(self.addr_hit_map):
count_info = self.addr_hit_map[addr]
{'a': hex_address_for_json(addr),
'e': count_info[0],
's': count_info[1]})
result['a'] = items
return result
def merge(self, function: FunctionScope):
self.sample_count += function.sample_count
self.event_count += function.event_count
self.subtree_event_count += function.subtree_event_count
self.addr_hit_map = self.__merge_hit_map(self.addr_hit_map, function.addr_hit_map)
self.line_hit_map = self.__merge_hit_map(self.line_hit_map, function.line_hit_map)
def __merge_hit_map(map1: Optional[Dict[int, List[int]]],
map2: Optional[Dict[int, List[int]]]) -> Optional[Dict[int, List[int]]]:
if not map1:
return map2
if not map2:
return map1
for key, value2 in map2.items():
value1 = map1.get(key)
if value1 is None:
map1[key] = value2
value1[0] += value2[0]
value1[1] += value2[1]
return map1
class CallNode(object):
def __init__(self, func_id: int):
self.event_count = 0
self.subtree_event_count = 0
self.func_id = func_id
# map from func_id to CallNode
self.children: Dict[int, CallNode] = collections.OrderedDict()
def get_child(self, func_id: int) -> CallNode:
child = self.children.get(func_id)
if not child:
child = self.children[func_id] = CallNode(func_id)
return child
def update_subtree_event_count(self):
self.subtree_event_count = self.event_count
for child in self.children.values():
self.subtree_event_count += child.update_subtree_event_count()
return self.subtree_event_count
def cut_edge(self, min_limit: float, hit_func_ids: Set[int]):
to_del_children = []
for key in self.children:
child = self.children[key]
if child.subtree_event_count < min_limit:
child.cut_edge(min_limit, hit_func_ids)
for key in to_del_children:
del self.children[key]
def gen_sample_info(self) -> Dict[str, Any]:
result = {}
result['e'] = self.event_count
result['s'] = self.subtree_event_count
result['f'] = self.func_id
result['c'] = [child.gen_sample_info() for child in self.children.values()]
return result
def merge(self, node: CallNode):
self.event_count += node.event_count
self.subtree_event_count += node.subtree_event_count
for key, child in node.children.items():
cur_child = self.children.get(key)
if cur_child is None:
self.children[key] = child
def sort_by_function_name(self, get_func_name: Callable[[int], str]) -> None:
if self.children:
child_func_ids = list(self.children.keys())
new_children = collections.OrderedDict()
for func_id in child_func_ids:
new_children[func_id] = self.children[func_id]
self.children = new_children
for child in self.children.values():
class LibInfo:
name: str
build_id: str
class LibSet(object):
""" Collection of shared libraries used in """
def __init__(self):
self.lib_name_to_id: Dict[str, int] = {}
self.libs: List[LibInfo] = []
def get_lib_id(self, lib_name: str) -> Optional[int]:
return self.lib_name_to_id.get(lib_name)
def add_lib(self, lib_name: str, build_id: str) -> int:
""" Return lib_id of the newly added lib. """
lib_id = len(self.libs)
self.libs.append(LibInfo(lib_name, build_id))
self.lib_name_to_id[lib_name] = lib_id
return lib_id
def get_lib(self, lib_id: int) -> LibInfo:
return self.libs[lib_id]
class Function(object):
""" Represent a function in a shared library. """
def __init__(self, lib_id: int, func_name: str, func_id: int, start_addr: int, addr_len: int):
self.lib_id = lib_id
self.func_name = func_name
self.func_id = func_id
self.start_addr = start_addr
self.addr_len = addr_len
self.source_info = None
self.disassembly = None
class FunctionSet(object):
""" Collection of functions used in """
def __init__(self):
self.name_to_func: Dict[Tuple[int, str], Function] = {}
self.id_to_func: Dict[int, Function] = {}
def get_func_id(self, lib_id: int, symbol: SymbolStruct) -> int:
key = (lib_id, symbol.symbol_name)
function = self.name_to_func.get(key)
if function is None:
func_id = len(self.id_to_func)
function = Function(lib_id, symbol.symbol_name, func_id, symbol.symbol_addr,
self.name_to_func[key] = function
self.id_to_func[func_id] = function
return function.func_id
def get_func_name(self, func_id: int) -> str:
return self.id_to_func[func_id].func_name
def trim_functions(self, left_func_ids: Set[int]):
""" Remove functions excepts those in left_func_ids. """
for function in self.name_to_func.values():
if function.func_id not in left_func_ids:
del self.id_to_func[function.func_id]
# name_to_func will not be used.
self.name_to_func = None
class SourceFile(object):
""" A source file containing source code hit by samples. """
def __init__(self, file_id: int, abstract_path: str):
self.file_id = file_id
self.abstract_path = abstract_path # path reported by addr2line
self.real_path: Optional[str] = None # file path in the file system
self.requested_lines: Optional[Set[int]] = set()
self.line_to_code: Dict[int, str] = {} # map from line to code in that line.
def request_lines(self, start_line: int, end_line: int):
self.requested_lines |= set(range(start_line, end_line + 1))
def add_source_code(self, real_path: str):
self.real_path = real_path
with open(real_path, 'r') as f:
source_code = f.readlines()
max_line = len(source_code)
for line in self.requested_lines:
if line > 0 and line <= max_line:
self.line_to_code[line] = source_code[line - 1]
# requested_lines is no longer used.
self.requested_lines = None
class SourceFileSet(object):
""" Collection of source files. """
def __init__(self):
self.path_to_source_files: Dict[str, SourceFile] = {} # map from file path to SourceFile.
def get_source_file(self, file_path: str) -> SourceFile:
source_file = self.path_to_source_files.get(file_path)
if not source_file:
source_file = SourceFile(len(self.path_to_source_files), file_path)
self.path_to_source_files[file_path] = source_file
return source_file
def load_source_code(self, source_dirs: List[str]):
file_searcher = SourceFileSearcher(source_dirs)
for source_file in self.path_to_source_files.values():
real_path = file_searcher.get_real_path(source_file.abstract_path)
if real_path:
class RecordData(object):
"""RecordData reads, and generates data used by report_html.js in json format.
All generated items are listed as below:
1. recordTime: string
2. machineType: string
3. androidVersion: string
4. recordCmdline: string
5. totalSamples: int
6. processNames: map from pid to processName.
7. threadNames: map from tid to threadName.
8. libList: an array of libNames, indexed by libId.
9. functionMap: map from functionId to funcData.
funcData = {
l: libId
f: functionName
s: [sourceFileId, startLine, endLine] [optional]
d: [(disassembly, addr)] [optional]
10. sampleInfo = [eventInfo]
eventInfo = {
processes: [processInfo]
processInfo = {
threads: [threadInfo]
threadInfo = {
libs: [libInfo],
g: callGraph,
rg: reverseCallgraph
libInfo = {
functions: [funcInfo]
funcInfo = {
f: functionId
c: [sampleCount, eventCount, subTreeEventCount]
s: [sourceCodeInfo] [optional]
a: [addrInfo] (sorted by addrInfo.addr) [optional]
callGraph and reverseCallGraph are both of type CallNode.
callGraph shows how a function calls other functions.
reverseCallGraph shows how a function is called by other functions.
CallNode {
e: selfEventCount
s: subTreeEventCount
f: functionId
c: [CallNode] # children
sourceCodeInfo {
f: sourceFileId
l: line
e: eventCount
s: subtreeEventCount
addrInfo {
a: addr
e: eventCount
s: subtreeEventCount
11. sourceFiles: an array of sourceFile, indexed by sourceFileId.
sourceFile {
code: # a map from line to code for that line.
def __init__(
self, binary_cache_path: Optional[str],
ndk_path: Optional[str],
build_addr_hit_map: bool):
self.binary_cache_path = binary_cache_path
self.ndk_path = ndk_path
self.build_addr_hit_map = build_addr_hit_map
self.meta_info: Optional[Dict[str, str]] = None
self.cmdline: Optional[str] = None
self.arch: Optional[str] = None Dict[str, EventScope] = {}
self.libs = LibSet()
self.functions = FunctionSet()
self.total_samples = 0
self.source_files = SourceFileSet()
self.gen_addr_hit_map_in_record_info = False
self.binary_finder = BinaryFinder(binary_cache_path, ReadElf(ndk_path))
def load_record_file(self, record_file: str, report_lib_options: ReportLibOptions):
lib = ReportLib()
# If not showing ip for unknown symbols, the percent of the unknown symbol may be
# accumulated to very big, and ranks first in the sample table.
if self.binary_cache_path:
self.meta_info = lib.MetaInfo()
self.cmdline = lib.GetRecordCmd()
self.arch = lib.GetArch()
while True:
raw_sample = lib.GetNextSample()
if not raw_sample:
raw_event = lib.GetEventOfCurrentSample()
symbol = lib.GetSymbolOfCurrentSample()
callchain = lib.GetCallChainOfCurrentSample()
event = self._get_event(
self.total_samples += 1
event.sample_count += 1
event.event_count += raw_sample.period
process = event.get_process(
process.event_count += raw_sample.period
thread = process.get_thread(raw_sample.tid, raw_sample.thread_comm)
thread.event_count += raw_sample.period
thread.sample_count += 1
lib_id = self.libs.get_lib_id(symbol.dso_name)
if lib_id is None:
lib_id = self.libs.add_lib(symbol.dso_name, lib.GetBuildIdForPath(symbol.dso_name))
func_id = self.functions.get_func_id(lib_id, symbol)
callstack = [(lib_id, func_id, symbol.vaddr_in_file)]
for i in range(
symbol = callchain.entries[i].symbol
lib_id = self.libs.get_lib_id(symbol.dso_name)
if lib_id is None:
lib_id = self.libs.add_lib(
symbol.dso_name, lib.GetBuildIdForPath(symbol.dso_name))
func_id = self.functions.get_func_id(lib_id, symbol)
callstack.append((lib_id, func_id, symbol.vaddr_in_file))
if len(callstack) > MAX_CALLSTACK_LENGTH:
callstack = callstack[:MAX_CALLSTACK_LENGTH]
thread.add_callstack(raw_sample.period, callstack, self.build_addr_hit_map)
for event in
for thread in event.threads:
def aggregate_by_thread_name(self):
for event in
new_processes = {} # from process name to ProcessScope
for process in event.processes.values():
cur_process = new_processes.get(
if cur_process is None:
new_processes[] = process
event.processes = {}
for process in new_processes.values():
event.processes[] = process
def limit_percents(self, min_func_percent: float, min_callchain_percent: float):
hit_func_ids: Set[int] = set()
for event in
min_limit = event.event_count * min_func_percent * 0.01
to_del_processes = []
for process in event.processes.values():
to_del_threads = []
for thread in process.threads.values():
if thread.call_graph.subtree_event_count < min_limit:
thread.limit_percents(min_limit, min_callchain_percent, hit_func_ids)
for thread in to_del_threads:
del process.threads[thread]
if not process.threads:
for process in to_del_processes:
del event.processes[process]
def sort_call_graph_by_function_name(self) -> None:
for event in
for process in event.processes.values():
for thread in process.threads.values():
def _get_event(self, event_name: str) -> EventScope:
if event_name not in[event_name] = EventScope(event_name)
def add_source_code(self, source_dirs: List[str], filter_lib: Callable[[str], bool], jobs: int):
""" Collect source code information:
1. Find line ranges for each function in FunctionSet.
2. Find line for each addr in FunctionScope.addr_hit_map.
3. Collect needed source code in SourceFileSet.
addr2line = Addr2Nearestline(self.ndk_path, self.binary_finder, False)
# Request line range for each function.
for function in self.functions.id_to_func.values():
if function.func_name == 'unknown':
lib_info = self.libs.get_lib(function.lib_id)
if filter_lib(
addr2line.add_addr(, lib_info.build_id,
function.start_addr, function.start_addr)
addr2line.add_addr(, lib_info.build_id, function.start_addr,
function.start_addr + function.addr_len - 1)
# Request line for each addr in FunctionScope.addr_hit_map.
for event in
for lib in event.libraries:
lib_info = self.libs.get_lib(lib.lib_id)
if filter_lib(
for function in lib.functions.values():
func_addr = self.functions.id_to_func[function.func_id].start_addr
for addr in function.addr_hit_map:
addr2line.add_addr(, lib_info.build_id, func_addr, addr)
# Set line range for each function.
for function in self.functions.id_to_func.values():
if function.func_name == 'unknown':
dso = addr2line.get_dso(self.libs.get_lib(function.lib_id).name)
if not dso:
start_source = addr2line.get_addr_source(dso, function.start_addr)
end_source = addr2line.get_addr_source(dso, function.start_addr + function.addr_len - 1)
if not start_source or not end_source:
start_file_path, start_line = start_source[-1]
end_file_path, end_line = end_source[-1]
if start_file_path != end_file_path or start_line > end_line:
source_file = self.source_files.get_source_file(start_file_path)
source_file.request_lines(start_line, end_line)
function.source_info = (source_file.file_id, start_line, end_line)
# Build FunctionScope.line_hit_map.
for event in
for lib in event.libraries:
dso = addr2line.get_dso(self.libs.get_lib(lib.lib_id).name)
if not dso:
for function in lib.functions.values():
for addr in function.addr_hit_map:
source = addr2line.get_addr_source(dso, addr)
if not source:
for file_path, line in source:
source_file = self.source_files.get_source_file(file_path)
# Show [line - 5, line + 5] of the line hit by a sample.
source_file.request_lines(line - 5, line + 5)
count_info = function.addr_hit_map[addr]
function.build_line_hit_map(source_file.file_id, line, count_info[0],
# Collect needed source code in SourceFileSet.
def add_disassembly(self, filter_lib: Callable[[str], bool], jobs: int):
""" Collect disassembly information:
1. Use objdump to collect disassembly for each function in FunctionSet.
2. Set flag to dump addr_hit_map when generating record info.
objdump = Objdump(self.ndk_path, self.binary_finder)
lib_functions: Dict[int, List[Function]] = collections.defaultdict(list)
for function in self.functions.id_to_func.values():
if function.func_name == 'unknown':
with ThreadPoolExecutor(jobs) as executor:
futures: List[Future] = []
for lib_id, functions in lib_functions.items():
lib = self.libs.get_lib(lib_id)
if not filter_lib(
dso_info = objdump.get_dso_info(, lib.build_id)
if not dso_info:
# If there are not many functions, it's faster to disassemble them one by one.
# Otherwise it's faster to disassemble the whole binary.
if len(functions) < jobs:
for function in functions:
futures.append(executor.submit(self._disassemble_function, objdump,
dso_info, function))
futures.append(executor.submit(self._disassemble_binary, objdump, dso_info,
for future in futures:
self.gen_addr_hit_map_in_record_info = True
def _disassemble_function(self, objdump: Objdump, dso_info, function: Function):
result = objdump.disassemble_function(dso_info, AddrRange(function.start_addr,
if result:
function.disassembly = result.lines
def _disassemble_binary(self, objdump: Objdump, dso_info, functions: List[Function]):
functions.sort(key=lambda f: f.start_addr)
addr_ranges = [AddrRange(f.start_addr, f.addr_len) for f in functions]
result = objdump.disassemble_functions(dso_info, addr_ranges)
if result:
for i in range(len(functions)):
functions[i].disassembly = result[i].lines
def gen_record_info(self) -> Dict[str, Any]:
""" Return json data which will be used by report_html.js. """
record_info = {}
timestamp = self.meta_info.get('timestamp')
if timestamp:
t = datetime.datetime.fromtimestamp(int(timestamp))
t =
record_info['recordTime'] = t.strftime('%Y-%m-%d (%A) %H:%M:%S')
product_props = self.meta_info.get('product_props')
machine_type = self.arch
if product_props:
manufacturer, model, name = product_props.split(':')
machine_type = '%s (%s) by %s, arch %s' % (model, name, manufacturer, self.arch)
record_info['machineType'] = machine_type
record_info['androidVersion'] = self.meta_info.get('android_version', '')
record_info['androidBuildFingerprint'] = self.meta_info.get('android_build_fingerprint', '')
record_info['kernelVersion'] = self.meta_info.get('kernel_version', '')
record_info['recordCmdline'] = self.cmdline
record_info['totalSamples'] = self.total_samples
record_info['processNames'] = self._gen_process_names()
record_info['threadNames'] = self._gen_thread_names()
record_info['libList'] = self._gen_lib_list()
record_info['functionMap'] = self._gen_function_map()
record_info['sampleInfo'] = self._gen_sample_info()
record_info['sourceFiles'] = self._gen_source_files()
return record_info
def _gen_process_names(self) -> Dict[int, str]:
process_names: Dict[int, str] = {}
for event in
for process in event.processes.values():
process_names[] =
return process_names
def _gen_thread_names(self) -> Dict[int, str]:
thread_names: Dict[int, str] = {}
for event in
for process in event.processes.values():
for thread in process.threads.values():
thread_names[thread.tid] =
return thread_names
def _gen_lib_list(self) -> List[str]:
return [modify_text_for_html( for lib in self.libs.libs]
def _gen_function_map(self) -> Dict[int, Any]:
func_map: Dict[int, Any] = {}
for func_id in sorted(self.functions.id_to_func):
function = self.functions.id_to_func[func_id]
func_data = {}
func_data['l'] = function.lib_id
func_data['f'] = modify_text_for_html(function.func_name)
if function.source_info:
func_data['s'] = function.source_info
if function.disassembly:
disassembly_list = []
for code, addr in function.disassembly:
func_data['d'] = disassembly_list
func_map[func_id] = func_data
return func_map
def _gen_sample_info(self) -> List[Dict[str, Any]]:
return [event.get_sample_info(self.gen_addr_hit_map_in_record_info)
for event in]
def _gen_source_files(self) -> List[Dict[str, Any]]:
source_files = sorted(self.source_files.path_to_source_files.values(),
key=lambda x: x.file_id)
file_list = []
for source_file in source_files:
file_data = {}
if not source_file.real_path:
file_data['path'] = ''
file_data['code'] = {}
file_data['path'] = source_file.real_path
code_map = {}
for line in source_file.line_to_code:
code_map[line] = modify_text_for_html(source_file.line_to_code[line])
file_data['code'] = code_map
return file_list
URLS = {
'jquery': '',
'bootstrap4-css': '',
'bootstrap4': '',
'dataTable': '',
'dataTable-bootstrap4': '',
'dataTable-css': '',
'gstatic-charts': '',
class ReportGenerator(object):
def __init__(self, html_path: Union[Path, str]):
self.hw = HtmlWriter(html_path)
for css in ['bootstrap4-css', 'dataTable-css']:
self.hw.open_tag('link', rel='stylesheet', type='text/css', href=URLS[css]).close_tag()
for js in ['jquery', 'bootstrap4-popper', 'bootstrap4', 'dataTable', 'dataTable-bootstrap4',
self.hw.open_tag('script', src=URLS[js]).close_tag()
"google.charts.load('current', {'packages': ['corechart', 'table']});").close_tag()
self.hw.open_tag('style', type='text/css').add("""
.colForLine { width: 50px; }
.colForCount { width: 100px; }
.tableCell { font-size: 17px; }
.boldTableCell { font-weight: bold; font-size: 17px; }
def write_content_div(self):
self.hw.open_tag('div', id='report_content').close_tag()
def write_record_data(self, record_data: Dict[str, Any]):
self.hw.open_tag('script', id='record_data', type='application/json')
def write_script(self):
def finish(self):
def get_args() -> argparse.Namespace:
parser = BaseArgumentParser(description='report profiling data')
parser.add_argument('-i', '--record_file', nargs='+', default=[''], help="""
Set profiling data file to report.""")
parser.add_argument('-o', '--report_path', default='report.html', help='Set output html file')
parser.add_argument('--min_func_percent', default=0.01, type=float, help="""
Set min percentage of functions shown in the report.
For example, when set to 0.01, only functions taking >= 0.01%% of total
event count are collected in the report.""")
parser.add_argument('--min_callchain_percent', default=0.01, type=float, help="""
Set min percentage of callchains shown in the report.
It is used to limit nodes shown in the function flamegraph. For example,
when set to 0.01, only callchains taking >= 0.01%% of the event count of
the starting function are collected in the report.""")
parser.add_argument('--add_source_code', action='store_true', help='Add source code.')
parser.add_argument('--source_dirs', nargs='+', help='Source code directories.')
parser.add_argument('--add_disassembly', action='store_true', help='Add disassembled code.')
parser.add_argument('--binary_filter', nargs='+', help="""Annotate source code and disassembly
only for selected binaries.""")
'-j', '--jobs', type=int, default=os.cpu_count(),
help='Use multithreading to speed up disassembly and source code annotation.')
parser.add_argument('--ndk_path', nargs=1, help='Find tools in the ndk path.')
parser.add_argument('--no_browser', action='store_true', help="Don't open report in browser.")
parser.add_argument('--aggregate-by-thread-name', action='store_true', help="""aggregate
samples by thread name instead of thread id. This is useful for
showing multiple generated for the same app.""")
return parser.parse_args()
def main():
sys.setrecursionlimit(MAX_CALLSTACK_LENGTH * 2 + 50)
args = get_args()
# 1. Process args.
binary_cache_path = 'binary_cache'
if not os.path.isdir(binary_cache_path):
if args.add_source_code or args.add_disassembly:
log_exit("""binary_cache/ doesn't exist. Can't add source code or disassembled code
without collected binaries. Please run to
collect binaries for current profiling data, or run
without -nb option.""")
binary_cache_path = None
if args.add_source_code and not args.source_dirs:
log_exit('--source_dirs is needed to add source code.')
build_addr_hit_map = args.add_source_code or args.add_disassembly
ndk_path = None if not args.ndk_path else args.ndk_path[0]
if < 1:
log_exit('Invalid --jobs option.')
# 2. Produce record data.
record_data = RecordData(binary_cache_path, ndk_path, build_addr_hit_map)
for record_file in args.record_file:
record_data.load_record_file(record_file, args.report_lib_options)
if args.aggregate_by_thread_name:
record_data.limit_percents(args.min_func_percent, args.min_callchain_percent)
def filter_lib(lib_name: str) -> bool:
if not args.binary_filter:
return True
for binary in args.binary_filter:
if binary in lib_name:
return True
return False
if args.add_source_code:
record_data.add_source_code(args.source_dirs, filter_lib,
if args.add_disassembly:
# 3. Generate report html.
report_generator = ReportGenerator(args.report_path)
if not args.no_browser:
open_report_in_browser(args.report_path)"Report generated at '%s'." % args.report_path)
if __name__ == '__main__':