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-rw-r--r--js/src/devtools/rootAnalysis/t/testlib.py231
1 files changed, 231 insertions, 0 deletions
diff --git a/js/src/devtools/rootAnalysis/t/testlib.py b/js/src/devtools/rootAnalysis/t/testlib.py
new file mode 100644
index 0000000000..a7187395c6
--- /dev/null
+++ b/js/src/devtools/rootAnalysis/t/testlib.py
@@ -0,0 +1,231 @@
+import json
+import os
+import re
+import subprocess
+import sys
+from collections import defaultdict, namedtuple
+
+from sixgill import Body
+
+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"
+ if "-fexceptions" not in options and "-fno-exceptions" not in options:
+ options += " -fno-exceptions"
+ cmd = "{CXX} -c {source} -O3 -std=c++17 -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 > 0:
+ 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, startPhase="gcTypes", upto=None):
+ open("defaults.py", "w").write(
+ """\
+analysis_scriptdir = '{scriptdir}'
+sixgill_bin = '{bindir}'
+""".format(
+ scriptdir=scriptdir, bindir=self.cfg.sixgill_bin
+ )
+ )
+ cmd = [
+ sys.executable,
+ os.path.join(scriptdir, "analyze.py"),
+ ["-q", "", "-v"][min(self.verbose, 2)],
+ ]
+ cmd += ["--first", startPhase]
+ if upto:
+ cmd += ["--last", upto]
+ cmd.append("--source=%s" % self.indir)
+ cmd.append("--js=%s" % self.cfg.js)
+ if self.cfg.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_json_file(self, filename, reviver=None):
+ fullpath = os.path.join(self.outdir, filename)
+ with open(fullpath) as fh:
+ return json.load(fh, object_hook=reviver)
+
+ 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"):
+ return self.load_json_file(filename)
+
+ def load_funcInfo(self, filename="limitedFunctions.lst"):
+ return self.load_json_file(filename)
+
+ 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"):
+ pass
+
+ 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("hazards.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]