Merge branch 'optimize-matcher' (not yet seeing the performance enhancement i was hoping for...)

This commit is contained in:
Joeri Exelmans 2024-12-09 11:49:01 +01:00
commit da5856b33b
3 changed files with 152 additions and 65 deletions

View file

@ -1,3 +1,4 @@
# Artificial model transformation thingy to measure performance
# Model transformation experiment
from state.devstate import DevState
@ -31,48 +32,77 @@ if __name__ == "__main__":
Many:Class
ManyB:Class
Other:Class
OtherB:Class
OtherC:Class
ass:Association(Many->ManyB)
ass2:Association(Rare->Many)
"""
dsl_mm_id = parser.parse_od(state, dsl_mm_cs, mm=scd_mmm_id)
dsl_m_cs = """
rare:Rare
many0:Many
many0B:Many
many1:Many
many1B:Many
many2:Many
many2B:Many
many3:Many
many3B:Many
many4:Many
many4B:Many
many5:ManyB
many6:ManyB
many7:ManyB
many8:ManyB
many50:ManyB
many60:ManyB
many70:ManyB
many80:ManyB
many51:ManyB
many61:ManyB
many71:ManyB
many81:ManyB
many501:ManyB
many601:ManyB
many701:ManyB
many801:ManyB
many5Z:ManyB
many6Z:ManyB
many7Z:ManyB
many8Z:ManyB
many50Z:ManyB
many60Z:ManyB
many70Z:ManyB
many80Z:ManyB
many51Z:ManyB
many61Z:ManyB
many71Z:ManyB
many81Z:ManyB
many501Z:ManyB
many601Z:ManyB
many701Z:ManyB
many801Z:ManyB
Other0:Other
Other1:Other
Other2:Other
Other3:Other
Other0B:Other
Other1B:Other
Other2B:Other
Other3B:Other
Other0C:Other
Other1C:Other
Other2C:Other
Other3C:Other
:ass (many2->many6)
:ass (many3->many8)
# other0:Other
# other1:OtherC
# other2:Other
# other3:Other
# other4:Other
# other5:OtherB
# other6:OtherB
# other7:OtherB
# other8:OtherB
# other9:OtherB
# other10:OtherB
# other11:OtherC
# other12:OtherC
# other13:OtherC
# other14:OtherC
# other1099:OtherB
# other1199:OtherC
# other1299:OtherC
# other1399:OtherC
# other1499:OtherC
:ass2 (rare -> many0)
:ass2 (rare -> many1)
:ass2 (rare -> many2)
"""
dsl_m_id = parser.parse_od(state, dsl_m_cs, mm=dsl_mm_id)
@ -86,17 +116,22 @@ if __name__ == "__main__":
# TODO: enable more powerful constraints
pattern_cs = f"""
# object to match
rare:{prefix}Rare {{
rare:RAM_Rare {{
}}
many:{prefix}Many
manyB:{prefix}ManyB
manyB2:{prefix}ManyB
many:RAM_Many
manyB:RAM_ManyB
manyB2:RAM_ManyB
:RAM_ass (many -> manyB)
:RAM_ass (many -> manyB2)
:RAM_ass2 (rare -> many)
"""
pattern_id = parser.parse_od(state, pattern_cs, mm=ramified_mm_id)
with Timer("find all matches"):
matches = list(match_od(state, dsl_m_id, dsl_mm_id, pattern_id, ramified_mm_id))
for i in range(100):
matches = list(match_od(state, dsl_m_id, dsl_mm_id, pattern_id, ramified_mm_id))
for match in matches:

View file

@ -12,7 +12,7 @@ import itertools
import re
import functools
from util.timer import Timer
from util.timer import Timer, counted
class _is_edge:
def __repr__(self):
@ -286,6 +286,27 @@ def match_od(state, host_m, host_mm, pattern_m, pattern_mm, pivot={}):
g_names, guest = model_to_graph(state, pattern_m, pattern_mm,
_filter=is_matchable)
# precompute the candidates for every guest vertex:
guest_to_host_candidate_vtxs = {}
vtxs_of_host_type = {}
for g_vtx in guest.vtxs:
object_node = g_vtx.node_id
if hasattr(g_vtx, 'typ'):
orig_class_node = ramify.get_original_type(bottom, g_vtx.typ)
orig_class_name = odapi.get_name(orig_class_node)
if orig_class_name in vtxs_of_host_type:
cands = vtxs_of_host_type[orig_class_name]
else:
cands = vtxs_of_host_type[orig_class_name] = len(odapi.get_all_instances(orig_class_name, include_subtypes=True))
else:
cands = len(host.vtxs)
guest_to_host_candidate_vtxs[g_vtx] = cands
# print(guest_to_host_candidate_vtxs)
# transform 'pivot' into something VF2 understands
graph_pivot = {
g_names[guest_name] : h_names[host_name]
for guest_name, host_name in pivot.items()
@ -339,7 +360,7 @@ def match_od(state, host_m, host_mm, pattern_m, pattern_mm, pivot={}):
compare = RAMCompare(bottom, services_od.OD(host_mm, host_m, state))
matcher = MatcherVF2(host, guest, compare)
matcher = MatcherVF2(host, guest, compare, guest_to_host_candidate_vtxs)
for m in matcher.match(graph_pivot):
# Convert mapping
name_mapping = {}

View file

@ -4,7 +4,7 @@
import itertools
from util.timer import Timer
from util.timer import Timer, counted
# like finding the 'strongly connected componenets', but edges are navigable in any direction
def find_connected_components(graph):
@ -81,6 +81,11 @@ class MatcherState:
state = MatcherState()
state.h_unmatched_vtxs = [vtx for vtx in host.vtxs if vtx not in pivot.values()]
state.g_unmatched_vtxs = [vtx for vtx in guest.vtxs if vtx not in pivot.keys()]
# if guest_to_host_candidates != None:
# state.g_unmatched_vtxs.sort(
# # performance thingy:
# # try to match guest vtxs with few candidates first (fail early!):
# key=lambda guest_vtx: guest_to_host_candidates.get(guest_vtx, 0))
state.mapping_vtxs = pivot
state.r_mapping_vtxs = { v: k for k,v in state.mapping_vtxs.items() }
return state
@ -129,27 +134,42 @@ class MatcherState:
# return self.make_hashable().__repr__()
return "VTXS: "+self.mapping_vtxs.__repr__()+"\nEDGES: "+self.mapping_edges.__repr__()
class MatcherVF2:
# Guest is the pattern
def __init__(self, host, guest, compare_fn):
def __init__(self, host, guest, compare_fn, guest_to_host_candidates=None):
self.host = host
self.guest = guest
self.compare_fn = compare_fn
# map guest vertex to number of candidate vertices in host graph:
if guest_to_host_candidates != None:
self.guest_to_host_candidates = guest_to_host_candidates
else:
# atttempt to match every guest vertex with every host vertex (slow!)
self.guest_to_host_candidates = { g_vtx : len(host.vtxs) for g_vtx in guest.vtxs }
# with Timer("find_connected_components - guest"):
self.guest_vtx_to_component, self.guest_component_to_vtxs = find_connected_components(guest)
# print("number of guest connected components:", len(self.guest_component_to_vtxs))
for component in self.guest_component_to_vtxs:
pass
# sort vertices in component such that the vertices of the rarest type (with the fewest element) occurs first
component.sort(key=lambda guest_vtx: guest_to_host_candidates[guest_vtx])
if len(self.guest_component_to_vtxs) > 1:
print("warning: pattern has multiple components:", len(self.guest_component_to_vtxs))
def match(self, pivot={}):
yield from self._match(
state=MatcherState.make_initial(self.host, self.guest, pivot),
already_visited=set())
# @counted
def _match(self, state, already_visited, indent=0):
# input()
num_matches = 0
def print_debug(*args):
pass
# print(" "*indent, *args) # uncomment to see a trace of the matching process
@ -161,7 +181,7 @@ class MatcherVF2:
if hashable in already_visited:
print_debug(" SKIP - ALREADY VISITED")
# print_debug(" ", hashable)
return
return 0
# print_debug(" ", [hash(a) for a in already_visited])
# print_debug(" ADD STATE")
# print_debug(" ", hash(hashable))
@ -173,7 +193,7 @@ class MatcherVF2:
print_debug(" ", state.mapping_vtxs)
print_debug(" ", state.mapping_edges)
yield state
return
return 1
def read_edge(edge, direction):
if direction == "outgoing":
@ -184,6 +204,7 @@ class MatcherVF2:
raise Exception("wtf!")
def attempt_grow(direction, indent):
num_matches = 0
for g_matched_vtx, h_matched_vtx in state.mapping_vtxs.items():
print_debug('attempt_grow', direction)
for g_candidate_edge in getattr(g_matched_vtx, direction):
@ -204,69 +225,79 @@ class MatcherVF2:
print_debug('grow edge', g_candidate_edge, ':', h_candidate_edge, id(g_candidate_edge), id(h_candidate_edge))
new_state = state.grow_edge(h_candidate_edge, g_candidate_edge)
h_candidate_vtx = read_edge(h_candidate_edge, direction)
yield from attempt_match_vtxs(
num_matches += yield from attempt_match_vtxs(
new_state,
g_candidate_vtx,
h_candidate_vtx,
indent+1)
print_debug('backtrack edge', g_candidate_edge, ':', h_candidate_edge, id(g_candidate_edge), id(h_candidate_edge))
return num_matches
def attempt_match_vtxs(state, g_candidate_vtx, h_candidate_vtx, indent):
print_debug('attempt_match_vtxs')
if g_candidate_vtx in state.mapping_vtxs:
if state.mapping_vtxs[g_candidate_vtx] != h_candidate_vtx:
print_debug(" nope, guest already mapped (mismatch)")
return # guest vtx is already mapped but doesn't match host vtx
return 0 # guest vtx is already mapped but doesn't match host vtx
if h_candidate_vtx in state.r_mapping_vtxs:
if state.r_mapping_vtxs[h_candidate_vtx] != g_candidate_vtx:
print_debug(" nope, host already mapped (mismatch)")
return # host vtx is already mapped but doesn't match guest vtx
return 0 # host vtx is already mapped but doesn't match guest vtx
g_outdegree = len(g_candidate_vtx.outgoing)
h_outdegree = len(h_candidate_vtx.outgoing)
if g_outdegree > h_outdegree:
print_debug(" nope, outdegree")
return
return 0
g_indegree = len(g_candidate_vtx.incoming)
h_indegree = len(h_candidate_vtx.incoming)
if g_indegree > h_indegree:
print_debug(" nope, indegree")
return
return 0
if not self.compare_fn(g_candidate_vtx, h_candidate_vtx):
print_debug(" nope, bad compare")
return
return 0
new_state = state.grow_vtx(
h_candidate_vtx,
g_candidate_vtx)
print_debug('grow vtx', g_candidate_vtx, ':', h_candidate_vtx, id(g_candidate_vtx), id(h_candidate_vtx))
yield from self._match(new_state, already_visited, indent+1)
num_matches = yield from self._match(new_state, already_visited, indent+1)
print_debug('backtrack vtx', g_candidate_vtx, ':', h_candidate_vtx, id(g_candidate_vtx), id(h_candidate_vtx))
return num_matches
print_debug('preferred...')
yield from attempt_grow('outgoing', indent+1)
yield from attempt_grow('incoming', indent+1)
num_matches += yield from attempt_grow('outgoing', indent+1)
num_matches += yield from attempt_grow('incoming', indent+1)
print_debug('least preferred...')
if state.boundary != None:
g_boundary_vtx, _ = state.boundary
guest_boundary_component = self.guest_vtx_to_component[g_boundary_vtx]
# only try guest vertices that are in a different component (all vertices in the same component are already discovered via 'attempt_grow')
guest_components_to_try = (c for i,c in enumerate(self.guest_component_to_vtxs) if i != guest_boundary_component)
# for the host vertices however, we have to try them from all components, because different connected components of our pattern (=guest) could be mapped onto the same connected component in the host
else:
guest_components_to_try = self.guest_component_to_vtxs
if num_matches == 0:
print_debug('least preferred...')
if state.boundary != None:
g_boundary_vtx, _ = state.boundary
guest_boundary_component = self.guest_vtx_to_component[g_boundary_vtx]
# only try guest vertices that are in a different component (all vertices in the same component are already discovered via 'attempt_grow')
guest_components_to_try = (c for i,c in enumerate(self.guest_component_to_vtxs) if i != guest_boundary_component)
# for the host vertices however, we have to try them from all components, because different connected components of our pattern (=guest) could be mapped onto the same connected component in the host
else:
guest_components_to_try = self.guest_component_to_vtxs
for g_component in guest_components_to_try:
# we only need to pick ONE vertex from the component
# in the future, this can be optimized further by picking the vertex of the type with the fewest instances
g_candidate_vtx = g_component[0]
if g_candidate_vtx in state.mapping_vtxs:
print_debug("skip (already matched)", g_candidate_vtx)
continue
for h_candidate_vtx in state.h_unmatched_vtxs:
yield from attempt_match_vtxs(state, g_candidate_vtx, h_candidate_vtx, indent+1)
for g_component in guest_components_to_try:
# we only need to pick ONE vertex from the component
# in the future, this can be optimized further by picking the vertex of the type with the fewest instances
g_candidate_vtx = g_component[0]
g_vtx_matches = 0
g_vtx_max = self.guest_to_host_candidates[g_candidate_vtx]
# print(' guest vtx has', g_vtx_max, ' host candidates')
if g_candidate_vtx in state.mapping_vtxs:
print_debug("skip (already matched)", g_candidate_vtx)
continue
for h_candidate_vtx in state.h_unmatched_vtxs:
N = yield from attempt_match_vtxs(state, g_candidate_vtx, h_candidate_vtx, indent+1)
g_vtx_matches += N > 0
num_matches += N
if g_vtx_matches == g_vtx_max:
print("EARLY STOP")
break # found all matches
if indent == 0:
print_debug('visited', len(already_visited), 'states total')
return num_matches
# demo time...
if __name__ == "__main__":