#! /usr/bin/python # # Copyright 2016 the V8 project authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. # import argparse import heapq import json from matplotlib import colors from matplotlib import pyplot import numpy import struct __DESCRIPTION = """ Process v8.ignition_dispatches_counters.json and list top counters, or plot a dispatch heatmap. Please note that those handlers that may not or will never dispatch (e.g. Return or Throw) do not show up in the results. """ __HELP_EPILOGUE = """ examples: # Print the hottest bytecodes in descending order, reading from # default filename v8.ignition_dispatches_counters.json (default mode) $ tools/ignition/bytecode_dispatches_report.py # Print the hottest 15 bytecode dispatch pairs reading from data.json $ tools/ignition/bytecode_dispatches_report.py -t -n 15 data.json # Save heatmap to default filename v8.ignition_dispatches_counters.svg $ tools/ignition/bytecode_dispatches_report.py -p # Save heatmap to filename data.svg $ tools/ignition/bytecode_dispatches_report.py -p -o data.svg # Open the heatmap in an interactive viewer $ tools/ignition/bytecode_dispatches_report.py -p -i # Display the top 5 sources and destinations of dispatches to/from LdaZero $ tools/ignition/bytecode_dispatches_report.py -f LdaZero -n 5 """ __COUNTER_BITS = struct.calcsize("P") * 8 # Size in bits of a pointer __COUNTER_MAX = 2**__COUNTER_BITS - 1 def warn_if_counter_may_have_saturated(dispatches_table): for source, counters_from_source in dispatches_table.items(): for destination, counter in counters_from_source.items(): if counter == __COUNTER_MAX: print "WARNING: {} -> {} may have saturated.".format(source, destination) def find_top_bytecode_dispatch_pairs(dispatches_table, top_count): def flattened_counters_generator(): for source, counters_from_source in dispatches_table.items(): for destination, counter in counters_from_source.items(): yield source, destination, counter return heapq.nlargest(top_count, flattened_counters_generator(), key=lambda x: x[2]) def print_top_bytecode_dispatch_pairs(dispatches_table, top_count): top_bytecode_dispatch_pairs = ( find_top_bytecode_dispatch_pairs(dispatches_table, top_count)) print "Top {} bytecode dispatch pairs:".format(top_count) for source, destination, counter in top_bytecode_dispatch_pairs: print "{:>12d}\t{} -> {}".format(counter, source, destination) def find_top_bytecodes(dispatches_table): top_bytecodes = [] for bytecode, counters_from_bytecode in dispatches_table.items(): top_bytecodes.append((bytecode, sum(counters_from_bytecode.values()))) top_bytecodes.sort(key=lambda x: x[1], reverse=True) return top_bytecodes def print_top_bytecodes(dispatches_table): top_bytecodes = find_top_bytecodes(dispatches_table) print "Top bytecodes:" for bytecode, counter in top_bytecodes: print "{:>12d}\t{}".format(counter, bytecode) def find_top_dispatch_sources(dispatches_table, destination, top_count): def source_counters_generator(): for source, table_row in dispatches_table.items(): if destination in table_row: yield source, table_row[destination] return heapq.nlargest(top_count, source_counters_generator(), key=lambda x: x[1]) def print_top_dispatch_sources_and_destinations(dispatches_table, bytecode, top_count): top_sources = find_top_dispatch_sources(dispatches_table, bytecode, top_count) top_destinations = heapq.nlargest(top_count, dispatches_table[bytecode].items(), key=lambda x: x[1]) print "Top sources of dispatches to {}:".format(bytecode) for source_name, counter in top_sources: print "{:>12d}\t{}".format(counter, source_name) print "\nTop destinations of dispatches from {}:".format(bytecode) for destination_name, counter in top_destinations: print "{:>12d}\t{}".format(counter, destination_name) def build_counters_matrix(dispatches_table): labels = sorted(dispatches_table.keys()) counters_matrix = numpy.empty([len(labels), len(labels)], dtype=int) for from_index, from_name in enumerate(labels): current_row = dispatches_table[from_name]; for to_index, to_name in enumerate(labels): counters_matrix[from_index, to_index] = current_row.get(to_name, 0) # Reverse y axis for a nicer appearance xlabels = labels ylabels = list(reversed(xlabels)) counters_matrix = numpy.flipud(counters_matrix) return counters_matrix, xlabels, ylabels def plot_dispatches_table(dispatches_table, figure, axis): counters_matrix, xlabels, ylabels = build_counters_matrix(dispatches_table) image = axis.pcolor( counters_matrix, cmap="jet", norm=colors.LogNorm(), edgecolor="grey", linestyle="dotted", linewidth=0.5 ) axis.xaxis.set( ticks=numpy.arange(0.5, len(xlabels)), label="From bytecode handler" ) axis.xaxis.tick_top() axis.set_xlim(0, len(xlabels)) axis.set_xticklabels(xlabels, rotation="vertical") axis.yaxis.set( ticks=numpy.arange(0.5, len(ylabels)), label="To bytecode handler", ticklabels=ylabels ) axis.set_ylim(0, len(ylabels)) figure.colorbar( image, ax=axis, fraction=0.01, pad=0.01 ) def parse_command_line(): command_line_parser = argparse.ArgumentParser( formatter_class=argparse.RawDescriptionHelpFormatter, description=__DESCRIPTION, epilog=__HELP_EPILOGUE ) command_line_parser.add_argument( "--plot-size", "-s", metavar="N", default=30, help="shorter side in inches of the output plot (default 30)" ) command_line_parser.add_argument( "--plot", "-p", action="store_true", help="plot dispatch pairs heatmap" ) command_line_parser.add_argument( "--interactive", "-i", action="store_true", help="open the heatmap in an interactive viewer, instead of writing to file" ) command_line_parser.add_argument( "--top-bytecode-dispatch-pairs", "-t", action="store_true", help="print the top bytecode dispatch pairs" ) command_line_parser.add_argument( "--top-entries-count", "-n", metavar="N", type=int, default=10, help="print N top entries when running with -t or -f (default 10)" ) command_line_parser.add_argument( "--top-dispatches-for-bytecode", "-f", metavar="<bytecode name>", help="print top dispatch sources and destinations to the specified bytecode" ) command_line_parser.add_argument( "--output-filename", "-o", metavar="<output filename>", default="v8.ignition_dispatches_table.svg", help=("file to save the plot file to. File type is deduced from the " "extension. PDF, SVG, PNG supported") ) command_line_parser.add_argument( "input_filename", metavar="<input filename>", default="v8.ignition_dispatches_table.json", nargs='?', help="Ignition counters JSON file" ) return command_line_parser.parse_args() def main(): program_options = parse_command_line() with open(program_options.input_filename) as stream: dispatches_table = json.load(stream) warn_if_counter_may_have_saturated(dispatches_table) if program_options.plot: figure, axis = pyplot.subplots() plot_dispatches_table(dispatches_table, figure, axis) if program_options.interactive: pyplot.show() else: figure.set_size_inches(program_options.plot_size, program_options.plot_size) pyplot.savefig(program_options.output_filename) elif program_options.top_bytecode_dispatch_pairs: print_top_bytecode_dispatch_pairs( dispatches_table, program_options.top_entries_count) elif program_options.top_dispatches_for_bytecode: print_top_dispatch_sources_and_destinations( dispatches_table, program_options.top_dispatches_for_bytecode, program_options.top_entries_count) else: print_top_bytecodes(dispatches_table) if __name__ == "__main__": main()