add profiler to give performance insights, seems like matching is usually the bottleneck
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3 changed files with 130 additions and 54 deletions
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@ -8,6 +8,7 @@ from concrete_syntax.common import indent
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from transformation.matcher import match_od
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from transformation.rewriter import rewrite
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from transformation.cloner import clone_od
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from util.timer import Timer
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class Rule:
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def __init__(self, nacs: list[UUID], lhs: UUID, rhs: UUID):
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@ -18,6 +19,9 @@ class Rule:
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PP = pprint.PrettyPrinter(depth=4)
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class _NAC_MATCHED(Exception):
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pass
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# Helper for executing NAC/LHS/RHS-type rules
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class RuleMatcherRewriter:
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def __init__(self, state, mm: UUID, mm_ramified: UUID):
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@ -36,37 +40,53 @@ class RuleMatcherRewriter:
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try:
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# First we iterate over LHS-matches:
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for i, lhs_match in enumerate(lhs_matcher):
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# for i, lhs_match in enumerate(lhs_matcher):
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x=0
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while True:
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try:
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with Timer(f"MATCH LHS {rule_name}"):
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lhs_match = lhs_matcher.__next__()
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x += 1
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nac_matched = False
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for nac in nacs:
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# For every LHS-match, we see if there is a NAC-match:
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nac_matcher = match_od(self.state,
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host_m=m,
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host_mm=self.mm,
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pattern_m=nac,
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pattern_mm=self.mm_ramified,
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pivot=lhs_match) # try to "grow" LHS-match with NAC-match
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nac_matched = False
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try:
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for j, nac_match in enumerate(nac_matcher):
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# The NAC has at least one match
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# (there could be more, but we know enough, so let's not waste CPU/MEM resources and proceed to next LHS match)
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nac_matched = True
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break
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except Exception as e:
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# The exception may originate from eval'ed condition-code in LHS or NAC
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# Decorate exception with some context, to help with debugging
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e.add_note(f"while matching NAC of '{rule_name}'")
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raise
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for i_nac, nac in enumerate(nacs):
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# For every LHS-match, we see if there is a NAC-match:
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nac_matcher = match_od(self.state,
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host_m=m,
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host_mm=self.mm,
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pattern_m=nac,
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pattern_mm=self.mm_ramified,
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pivot=lhs_match) # try to "grow" LHS-match with NAC-match
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if nac_matched:
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break
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try:
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# for nac_match in nac_matcher:
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while True:
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try:
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with Timer(f"MATCH NAC{i_nac} {rule_name}"):
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nac_match = nac_matcher.__next__()
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raise _NAC_MATCHED()
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except StopIteration:
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break # no more nac-matches
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# The NAC has at least one match
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# (there could be more, but we know enough, so let's not waste CPU/MEM resources and proceed to next LHS match)
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nac_matched = True
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break
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except Exception as e:
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# The exception may originate from eval'ed condition-code in LHS or NAC
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# Decorate exception with some context, to help with debugging
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e.add_note(f"while matching NAC of '{rule_name}'")
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raise
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except _NAC_MATCHED:
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continue # continue with next LHS-match
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if not nac_matched:
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# There were no NAC matches -> yield LHS-match!
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yield lhs_match
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except StopIteration:
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break # no more lhs-matches
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except Exception as e:
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@ -102,17 +122,27 @@ class ActionGenerator:
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def __call__(self, od: ODAPI):
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at_least_one_match = False
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for rule_name, rule in self.rule_dict.items():
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for lhs_match in self.matcher_rewriter.match_rule(od.m, rule.lhs, rule.nacs, rule_name):
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# We got a match!
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def do_action(od, rule, lhs_match, rule_name):
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new_m, rhs_match = self.matcher_rewriter.exec_rule(od.m, rule.lhs, rule.rhs, lhs_match, rule_name)
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msgs = [f"executed rule '{rule_name}'\n" + indent(PP.pformat(rhs_match), 6)]
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return (ODAPI(od.state, new_m, od.mm), msgs)
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yield (
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rule_name + '\n' + indent(PP.pformat(lhs_match), 6), # description of action
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functools.partial(do_action, od, rule, lhs_match, rule_name) # the action itself (as a callback)
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)
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at_least_one_match = True
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match_iterator = self.matcher_rewriter.match_rule(od.m, rule.lhs, rule.nacs, rule_name)
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x = 0
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while True:
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try:
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# if True:
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with Timer(f"MATCH RULE {rule_name}"):
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lhs_match = match_iterator.__next__()
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x += 1
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# We got a match!
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def do_action(od, rule, lhs_match, rule_name):
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with Timer(f"EXEC RHS {rule_name}"):
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new_m, rhs_match = self.matcher_rewriter.exec_rule(od.m, rule.lhs, rule.rhs, lhs_match, rule_name)
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msgs = [f"executed rule '{rule_name}'\n" + indent(PP.pformat(rhs_match), 6)]
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return (ODAPI(od.state, new_m, od.mm), msgs)
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yield (
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rule_name + '\n' + indent(PP.pformat(lhs_match), 6), # description of action
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functools.partial(do_action, od, rule, lhs_match, rule_name) # the action itself (as a callback)
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)
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at_least_one_match = True
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except StopIteration:
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break
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return at_least_one_match
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# Given a list of actions (in high -> low priority), will always yield the highest priority enabled actions.
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