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vg_to_opt_trace.py
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vg_to_opt_trace.py
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# Convert a raw trace created by the Valgrind OPT C backend to a format
# that the OPT frontend can digest, making various optimizations and
# clean-ups along the way to beautify the trace
# Created 2015-10-04 by Philip Guo
# pass in full path name of a source file, which should end in '.c' or '.cpp'.
# assumes that the Valgrind-produced trace is $basename.vgtrace
# (without the '.c.' or '.cpp' extension)
#
# optionally, if you want to pass an error message to display at the end
# of the trace, pass it in via the --end-of-trace-error-msg argument
# this is pretty brittle and dependent on the user's gcc version and
# such because it generates code to conform to certain calling
# conventions, frame pointer settings (DON'T omit it!), etc., eeek
#
# we're assuming that the user has compiled with:
# gcc -ggdb -O0 -fno-omit-frame-pointer
#
# on a platform like:
'''
$ gcc -v
Using built-in specs.
COLLECT_GCC=gcc
COLLECT_LTO_WRAPPER=/usr/lib/gcc/x86_64-linux-gnu/4.8/lto-wrapper
Target: x86_64-linux-gnu
Configured with: ../src/configure -v --with-pkgversion='Ubuntu 4.8.4-2ubuntu1~14.04' --with-bugurl=file:///usr/share/doc/gcc-4.8/README.Bugs --enable-languages=c,c++,java,go,d,fortran,objc,obj-c++ --prefix=/usr --program-suffix=-4.8 --enable-shared --enable-linker-build-id --libexecdir=/usr/lib --without-included-gettext --enable-threads=posix --with-gxx-include-dir=/usr/include/c++/4.8 --libdir=/usr/lib --enable-nls --with-sysroot=/ --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-gnu-unique-object --disable-libmudflap --enable-plugin --with-system-zlib --disable-browser-plugin --enable-java-awt=gtk --enable-gtk-cairo --with-java-home=/usr/lib/jvm/java-1.5.0-gcj-4.8-amd64/jre --enable-java-home --with-jvm-root-dir=/usr/lib/jvm/java-1.5.0-gcj-4.8-amd64 --with-jvm-jar-dir=/usr/lib/jvm-exports/java-1.5.0-gcj-4.8-amd64 --with-arch-directory=amd64 --with-ecj-jar=/usr/share/java/eclipse-ecj.jar --enable-objc-gc --enable-multiarch --disable-werror --with-arch-32=i686 --with-abi=m64 --with-multilib-list=m32,m64,mx32 --with-tune=generic --enable-checking=release --build=x86_64-linux-gnu --host=x86_64-linux-gnu --target=x86_64-linux-gnu
Thread model: posix
gcc version 4.8.4 (Ubuntu 4.8.4-2ubuntu1~14.04)
'''
import json
import os
import pprint
import sys
from optparse import OptionParser
pp = pprint.PrettyPrinter(indent=2)
RECORD_SEP = '=== pg_trace_inst ==='
MAX_STEPS = 1000
ONLY_ONE_REC_PER_LINE = True
all_execution_points = []
# False if record isn't parsed properly or is an exception
def process_record(lines):
if not lines:
return True # 'nil success case to keep the parser going
err_lines = []
stdout_lines = []
regular_lines = []
for e in lines:
if e.startswith('ERROR: '):
err_lines.append(e)
elif e.startswith('STDOUT: '):
stdout_lines.append(e)
elif e.startswith('MAX_STEPS_EXCEEDED'):
pass # oof
else:
regular_lines.append(e)
rec = '\n'.join(regular_lines)
try:
# sometimes floating-point values print as:
# "val":******
# when they're weird values like overflow and NaN. in those
# cases, replace with "val": null so as not to crash the json
# parser
rec = rec.replace('"val":******', '"val":null')
obj = json.loads(rec)
except ValueError:
print >> sys.stderr, "Ugh, bad record!", rec
return False
assert len(stdout_lines) == 1 # always have one!
# it's encoded as JSON in a single line
stdout_str = json.loads(stdout_lines[0][len('STDOUT: '):])
# take the first error only
err_str = err_lines[0] if err_lines else None
x = process_json_obj(obj, err_str, stdout_str)
all_execution_points.append(x)
# it's a good idea to fail-fast on first exception since it's
# pedagogically bad to keep executing despite errors
if x['event'] == 'exception':
return False
return True
def process_json_obj(obj, err_str, stdout_str):
#print '---'
#pp.pprint(obj)
#print
assert len(obj['stack']) > 0 # C programs always have a main at least!
obj['stack'].reverse() # make the stack grow down to follow convention
top_stack_entry = obj['stack'][-1]
# create an execution point object
ret = {}
heap = {}
stack = []
enc_globals = {}
ret['heap'] = heap
ret['stack_to_render'] = stack
ret['globals'] = enc_globals
# sometimes there are no globals in a trace
if 'ordered_globals' in obj:
ret['ordered_globals'] = obj['ordered_globals']
else:
ret['ordered_globals'] = []
ret['line'] = obj['line']
ret['func_name'] = top_stack_entry['func_name'] # use the 'topmost' entry's name
if err_str:
ret['event'] = 'exception'
ret['exception_msg'] = err_str + '\n(Stopped running after the first error. Please fix your code.)'
else:
ret['event'] = 'step_line'
ret['stdout'] = stdout_str
if 'globals' in obj:
for g_var, g_val in obj['globals'].iteritems():
enc_globals[g_var] = encode_value(g_val, heap)
for e in obj['stack']:
stack_obj = {}
stack.append(stack_obj)
stack_obj['func_name'] = e['func_name']
stack_obj['ordered_varnames'] = e['ordered_varnames']
stack_obj['is_highlighted'] = e is top_stack_entry
# hacky: does FP (the frame pointer) serve as a unique enough frame ID?
# sometimes it's set to 0 :/
stack_obj['frame_id'] = e['FP']
stack_obj['unique_hash'] = stack_obj['func_name'] + '_' + stack_obj['frame_id']
if 'line' in e:
stack_obj['line'] = e['line']
# unsupported
stack_obj['is_parent'] = False
stack_obj['is_zombie'] = False
stack_obj['parent_frame_id_list'] = []
enc_locals = {}
stack_obj['encoded_locals'] = enc_locals
for local_var, local_val in e['locals'].iteritems():
enc_locals[local_var] = encode_value(local_val, heap)
#pp.pprint(ret)
#print [(e['func_name'], e['frame_id']) for e in ret['stack_to_render']]
return ret
# returns an encoded value in OPT format and possibly mutates the heap
def encode_value(obj, heap):
if obj['kind'] == 'base':
return ['C_DATA', obj['addr'], obj['type'], obj['val']]
elif obj['kind'] == 'pointer':
if 'deref_val' in obj:
encode_value(obj['deref_val'], heap) # update the heap
return ['C_DATA', obj['addr'], 'pointer', obj['val']]
elif obj['kind'] == 'struct':
ret = ['C_STRUCT', obj['addr'], obj['type']]
# sort struct members by address so that they look ORDERED
members = obj['val'].items()
members.sort(key=lambda e: e[1]['addr'])
for k, v in members:
entry = [k, encode_value(v, heap)] # TODO: is an infinite loop possible here?
ret.append(entry)
return ret
elif obj['kind'] == 'array':
# backwards compatibility for old 1-D array format:
if 'dimensions' not in obj or len(obj['dimensions']) < 2:
ret = ['C_ARRAY', obj['addr']]
for e in obj['val']:
ret.append(encode_value(e, heap)) # TODO: is an infinite loop possible here?
return ret
else:
# put dimensions as the 3rd element:
ret = ['C_MULTIDIMENSIONAL_ARRAY', obj['addr'], obj['dimensions']]
for e in obj['val']:
ret.append(encode_value(e, heap)) # TODO: is an infinite loop possible here?
return ret
elif obj['kind'] == 'typedef':
# pass on the typedef type name into obj['val'], then recurse
obj['val']['type'] = obj['type']
return encode_value(obj['val'], heap)
elif obj['kind'] == 'heap_block':
assert obj['addr'] not in heap
new_elt = ['C_ARRAY', obj['addr']]
for e in obj['val']:
new_elt.append(encode_value(e, heap)) # TODO: is an infinite loop possible here?
heap[obj['addr']] = new_elt
# TODO: what about heap-to-heap pointers?
else:
assert False
if __name__ == '__main__':
parser = OptionParser(usage="Create an OPT trace from a Valgrind trace")
parser.add_option("--create_jsvar", dest="js_varname", default=None,
help="Create a JavaScript variable out of the trace")
parser.add_option("--jsondump", dest="jsondump", action="store_true", default=False,
help="Dump compact JSON as output")
parser.add_option("--prettydump", dest="prettydump", action="store_true", default=False,
help="Dump pretty-printed JSON as output")
parser.add_option("--end-of-trace-error-msg", dest="end_of_trace_error_msg", default=None,
help="Display this error message at the end of the trace")
(options, args) = parser.parse_args()
fn = args[0]
basename, ext = os.path.splitext(fn)
assert ext in ('.c', '.cpp')
cur_record_lines = []
success = True
for line in open(basename + '.vgtrace'):
line = line.strip()
if line == RECORD_SEP:
success = process_record(cur_record_lines)
if not success:
break
cur_record_lines = []
else:
cur_record_lines.append(line)
# only parse final record if we've been successful so far; i.e., die
# on the first failed parse
if success:
success = process_record(cur_record_lines)
# now do some filtering action based on heuristics
filtered_execution_points = []
for pt in all_execution_points:
# any execution point with a 0x0 frame pointer is bogus
frame_ids = [e['frame_id'] for e in pt['stack_to_render']]
func_names = [e['func_name'] for e in pt['stack_to_render']]
if '0x0' in frame_ids:
continue
# any point with DUPLICATE frame_ids is bogus, since it means
# that the frame_id of some frame hasn't yet been updated
if len(set(frame_ids)) < len(frame_ids):
continue
# any point with a weird '???' function name is bogus
# but we shouldn't have any more by now
#assert '???' not in func_names # actually nevermind on this for now - we still sometimes get '???' so just skip those
if '???' in func_names:
continue
#print func_names, frame_ids
filtered_execution_points.append(pt)
final_execution_points = []
if filtered_execution_points:
final_execution_points.append(filtered_execution_points[0])
# finally, make sure that each successive entry contains
# frame_ids that are either identical to the previous one, or
# differ by the addition or subtraction of one element at the
# end, which represents a function call or return, respectively.
# there are weird cases like:
#
# [u'main'] [u'0xFFEFFFE30']
# [u'main'] [u'0xFFEFFFE30']
# [u'foo'] [u'0xFFEFFFDC0'] <- bogus
# [u'main', u'foo'] [u'0xFFEFFFE30', u'0xFFEFFFDC0']
# [u'main', u'foo'] [u'0xFFEFFFE30', u'0xFFEFFFDC0']
#
# where the middle entry should be FILTERED OUT since it's
# missing 'main' for some reason
for prev, cur in zip(filtered_execution_points, filtered_execution_points[1:]):
prev_frame_ids = [e['frame_id'] for e in prev['stack_to_render']]
cur_frame_ids = [e['frame_id'] for e in cur['stack_to_render']]
# identical, we're good to go
if prev_frame_ids == cur_frame_ids:
final_execution_points.append(cur)
elif len(prev_frame_ids) < len(cur_frame_ids):
# cur_frame_ids is prev_frame_ids + 1 extra element on
# the end -> function call
if prev_frame_ids == cur_frame_ids[:-1]:
final_execution_points.append(cur)
elif len(prev_frame_ids) > len(cur_frame_ids):
# cur_frame_ids is prev_frame_ids MINUS the last element on
# the end -> function return
if cur_frame_ids == prev_frame_ids[:-1]:
final_execution_points.append(cur)
assert len(final_execution_points) <= len(filtered_execution_points)
cur_ind = 1
# now mark 'call' and' 'return' events via the same heuristic as above
for prev, cur in zip(final_execution_points, final_execution_points[1:]):
prev_frame_ids = [e['frame_id'] for e in prev['stack_to_render']]
cur_frame_ids = [e['frame_id'] for e in cur['stack_to_render']]
if len(prev_frame_ids) < len(cur_frame_ids):
if prev_frame_ids == cur_frame_ids[:-1]:
cur['event'] = 'call'
# optimization -- when you find a 'call' instruction,
# look ahead in the trace to find all *consecutive*
# entries with the same frame_ids and on the same line,
# then eliminate those from the trace.
#
# if we don't do this optimization, then the visualizer
# will show multiple steps for entering a function call,
# with formal parameters being filled in with their
# values along the way; while this is somewhat
# informative, it's also kinda extraneous. instead, we
# want to skip over all parameter initialization and
# jump right into the function body right away with all
# the parameters initialized
lookahead = final_execution_points[cur_ind+1:] # start at the next index
for future_step in lookahead:
future_frame_ids = [e['frame_id'] for e in future_step['stack_to_render']]
if cur_frame_ids == future_frame_ids and cur['line'] == future_step['line']:
future_step['to_delete'] = True
else:
# BREAK AS SOON AS you change lines or stack
# frame_id contents, since we don't want to be
# over-eager and cut out *non-consecutive*
# elements from the trace
break
elif len(prev_frame_ids) > len(cur_frame_ids):
if cur_frame_ids == prev_frame_ids[:-1]:
prev['event'] = 'return'
cur_ind += 1 # tricky indent
# make the last statement a faux 'return', presumably from main
if success:
if options.end_of_trace_error_msg:
# make last statement an exception if end_of_trace_error_msg passed in
final_execution_points[-1]['event'] = 'exception'
final_execution_points[-1]['exception_msg'] = options.end_of_trace_error_msg
else:
# make last statement a faux 'return', presumably from main
final_execution_points[-1]['event'] = 'return'
# kludgy: don't do to_delete for return events, since if we do this,
# then we may be skipping return events for one-liner functions like
# int getInt() { return static_const_member;}
# due to our above optimization to cut out all events on the same
# line as a 'call' instruction. in a one-liner function, the call
# and return are on the same line, so we don't want to delete the return
for e in final_execution_points:
if e['event'] == 'return':
if 'to_delete' in e:
del e['to_delete']
# only keep the FIRST 'step_line' event for any given line, to match what
# a line-level debugger would do
# (try to do this before other optimizations)
if ONLY_ONE_REC_PER_LINE:
tmp = []
prev_event = None
prev_line = None
prev_frame_ids = None
for elt in final_execution_points:
skip = False
cur_event = elt['event']
cur_line = elt['line']
cur_frame_ids = [e['frame_id'] for e in elt['stack_to_render']]
if prev_frame_ids:
if cur_event == prev_event == 'step_line':
if cur_line == prev_line and cur_frame_ids == prev_frame_ids:
skip = True
if not skip:
tmp.append(elt)
prev_event = cur_event
prev_line = cur_line
prev_frame_ids = cur_frame_ids
final_execution_points = tmp # the ole' switcheroo
# optimization: if we're returning to the SAME LINE in the
# caller as it originally called this function with, then
# skip this step since it's redundant. for example:
'''
void* foo() {
void *x = malloc(1);
return x;
}
int main() {
void *x = foo(); // <-- there is an extraneous step here AFTER foo returns but
// before its return value is assigned to x. this optimization
// eliminates this step to clean up the trace a bit
}
'''
for prev, cur, next in zip(final_execution_points, final_execution_points[1:], final_execution_points[2:]):
if prev['event'] == 'return' and len(prev['stack_to_render']) > 1:
prev_caller = prev['stack_to_render'][-2]
cur_top = cur['stack_to_render'][-1]
# one additional subtle caveat is that we should delete only
# if cur['func_name'] == next['func_name'] because otherwise
# we will be directly jumping into another function without
# first showing the return to cur, which may look JARRING
if (cur_top['frame_id'] == prev_caller['frame_id']) and \
(cur_top['line'] == prev_caller['line']) and \
(cur['func_name'] == next['func_name']):
cur['to_delete'] = True
# now eliminate all steps before the first call to 'main' to clean up the trace,
# especially for C++ code with weird pre-main initializers
for e in final_execution_points:
if e['func_name'] == 'main':
break # GET OUT!
else:
e['to_delete'] = True
for e in final_execution_points:
if 'to_delete' in e:
print >> sys.stderr, 'to_delete:', json.dumps(e)
final_execution_points = [e for e in final_execution_points if 'to_delete' not in e]
if len(final_execution_points) > MAX_STEPS:
# truncate to MAX_STEPS entries
final_execution_points = final_execution_points[:MAX_STEPS]
final_execution_points[-1]['event'] = 'instruction_limit_reached'
final_execution_points[-1]['exception_msg'] = 'Stopped after running ' + str(MAX_STEPS) + ' steps. Please shorten your code,\nsince Python Tutor is not designed to handle long-running code.'
cod = open(fn).read()
# produce the final trace, voila!
final_res = {'code': cod, 'trace': final_execution_points}
# use sort_keys to get some sensible ordering on object keys
if options.js_varname:
s = json.dumps(final_res, indent=2, sort_keys=True)
print 'var ' + options.js_varname + ' = ' + s + ';'
elif options.jsondump:
print json.dumps(final_res, sort_keys=True)
elif options.prettydump:
print json.dumps(final_res, indent=2, sort_keys=True)
else:
assert False