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import json
import os
import re
import subprocess
from sixgill import Body
from collections import defaultdict, namedtuple
scriptdir = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
HazardSummary = namedtuple(
"HazardSummary", ["function", "variable", "type", "GCFunction", "location"]
)
Callgraph = namedtuple(
"Callgraph",
[
"functionNames",
"nameToId",
"mangledToUnmangled",
"unmangledToMangled",
"calleesOf",
"callersOf",
"tags",
"calleeGraph",
"callerGraph",
],
)
def equal(got, expected):
if got != expected:
print("Got '%s', expected '%s'" % (got, expected))
def extract_unmangled(func):
return func.split("$")[-1]
class Test(object):
def __init__(self, indir, outdir, cfg, verbose=0):
self.indir = indir
self.outdir = outdir
self.cfg = cfg
self.verbose = verbose
def infile(self, path):
return os.path.join(self.indir, path)
def binpath(self, prog):
return os.path.join(self.cfg.sixgill_bin, prog)
def compile(self, source, options=""):
env = os.environ
env["CCACHE_DISABLE"] = "1"
cmd = "{CXX} -c {source} -O3 -std=c++11 -fplugin={sixgill} -fplugin-arg-xgill-mangle=1 {options}".format( # NOQA: E501
source=self.infile(source),
CXX=self.cfg.cxx,
sixgill=self.cfg.sixgill_plugin,
options=options,
)
if self.cfg.verbose:
print("Running %s" % cmd)
subprocess.check_call(["sh", "-c", cmd])
def load_db_entry(self, dbname, pattern):
"""Look up an entry from an XDB database file, 'pattern' may be an exact
matching string, or an re pattern object matching a single entry."""
if hasattr(pattern, "match"):
output = subprocess.check_output(
[self.binpath("xdbkeys"), dbname + ".xdb"], universal_newlines=True
)
matches = list(filter(lambda _: re.search(pattern, _), output.splitlines()))
if len(matches) == 0:
raise Exception("entry not found")
if len(matches) > 1:
raise Exception("multiple entries found")
pattern = matches[0]
output = subprocess.check_output(
[self.binpath("xdbfind"), "-json", dbname + ".xdb", pattern],
universal_newlines=True,
)
return json.loads(output)
def run_analysis_script(self, phase, upto=None):
open("defaults.py", "w").write(
"""\
analysis_scriptdir = '{scriptdir}'
sixgill_bin = '{bindir}'
""".format(
scriptdir=scriptdir, bindir=self.cfg.sixgill_bin
)
)
cmd = [
os.path.join(scriptdir, "analyze.py"),
"-v" if self.verbose else "-q",
phase,
]
if upto:
cmd += ["--upto", upto]
cmd.append("--source=%s" % self.indir)
cmd.append("--objdir=%s" % self.outdir)
cmd.append("--js=%s" % self.cfg.js)
if self.cfg.verbose:
cmd.append("--verbose")
print("Running " + " ".join(cmd))
subprocess.check_call(cmd)
def computeGCTypes(self):
self.run_analysis_script("gcTypes", upto="gcTypes")
def computeHazards(self):
self.run_analysis_script("gcTypes")
def load_text_file(self, filename, extract=lambda l: l):
fullpath = os.path.join(self.outdir, filename)
values = (extract(line.strip()) for line in open(fullpath, "r"))
return list(filter(lambda _: _ is not None, values))
def load_suppressed_functions(self):
return set(
self.load_text_file(
"limitedFunctions.lst", extract=lambda l: l.split(" ")[1]
)
)
def load_gcTypes(self):
def grab_type(line):
m = re.match(r"^(GC\w+): (.*)", line)
if m:
return (m.group(1) + "s", m.group(2))
return None
gctypes = defaultdict(list)
for collection, typename in self.load_text_file(
"gcTypes.txt", extract=grab_type
):
gctypes[collection].append(typename)
return gctypes
def load_typeInfo(self, filename="typeInfo.txt"):
with open(os.path.join(self.outdir, filename)) as fh:
return json.load(fh)
def load_gcFunctions(self):
return self.load_text_file("gcFunctions.lst", extract=extract_unmangled)
def load_callgraph(self):
data = Callgraph(
functionNames=["dummy"],
nameToId={},
mangledToUnmangled={},
unmangledToMangled={},
calleesOf=defaultdict(list),
callersOf=defaultdict(list),
tags=defaultdict(set),
calleeGraph=defaultdict(dict),
callerGraph=defaultdict(dict),
)
def lookup(id):
mangled = data.functionNames[int(id)]
return data.mangledToUnmangled.get(mangled, mangled)
def add_call(caller, callee, limit):
data.calleesOf[caller].append(callee)
data.callersOf[callee].append(caller)
data.calleeGraph[caller][callee] = True
data.callerGraph[callee][caller] = True
def process(line):
if line.startswith("#"):
name = line.split(" ", 1)[1]
data.nameToId[name] = len(data.functionNames)
data.functionNames.append(name)
return
if line.startswith("="):
m = re.match(r"^= (\d+) (.*)", line)
mangled = data.functionNames[int(m.group(1))]
unmangled = m.group(2)
data.nameToId[unmangled] = id
data.mangledToUnmangled[mangled] = unmangled
data.unmangledToMangled[unmangled] = mangled
return
limit = 0
m = re.match(r"^\w (?:/(\d+))? ", line)
if m:
limit = int(m[1])
tokens = line.split(" ")
if tokens[0] in ("D", "R"):
_, caller, callee = tokens
add_call(lookup(caller), lookup(callee), limit)
elif tokens[0] == "T":
data.tags[tokens[1]].add(line.split(" ", 2)[2])
elif tokens[0] in ("F", "V"):
m = re.match(r"^[FV] (\d+) (\d+) CLASS (.*?) FIELD (.*)", line)
caller, callee, csu, field = m.groups()
add_call(lookup(caller), lookup(callee), limit)
elif tokens[0] == "I":
m = re.match(r"^I (\d+) VARIABLE ([^\,]*)", line)
pass
self.load_text_file("callgraph.txt", extract=process)
return data
def load_hazards(self):
def grab_hazard(line):
m = re.match(
r"Function '(.*?)' has unrooted '(.*?)' of type '(.*?)' live across GC call '(.*?)' at (.*)", # NOQA: E501
line,
)
if m:
info = list(m.groups())
info[0] = info[0].split("$")[-1]
info[3] = info[3].split("$")[-1]
return HazardSummary(*info)
return None
return self.load_text_file("rootingHazards.txt", extract=grab_hazard)
def process_body(self, body):
return Body(body)
def process_bodies(self, bodies):
return [self.process_body(b) for b in bodies]
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