def rw(views, queries, ontology, costs, preflist):
# generate the MCD theory
t = mcdsat.mcd.mcd_theory(queries[0], views, ontology)
# add preferences to the theory
if preflist:
pref_t = preferences.preference_clauses(queries[0], views, preflist, t)
else:
pref_t = t
# generate the RW theory based on the MCD theory
rw_t = mcdsat.rw.rw_theory(queries[0], views, pref_t)
# feed the theory to the d-DNNF compiler
nnf_filename = compile_ddnnf(rw_t)
# enumerate the models of the d-DNNF theory
models = enumerate_models(nnf_filename)
#TODO move somewhere more suitable
if options.logging_output_file:
modelcount = count_models(nnf_filename)
ff = open(options.logging_output_file + ".count", "w")
print >> ff, modelcount
ff.close()
esttime = model_enumeration_time(nnf_filename)
ff = open(options.logging_output_file + ".time", "w")
print >> ff, esttime
ff.close()
for m in models:
# print "".join([str(s)+"," for s in rw_rebuild(queries[0], views, rw_t, m)])
print rw_rebuild(queries[0], views, rw_t, m)
def bestrw(views, queries, ontology, costs, preflist):
# generate the MCD theory
t = mcdsat.mcd.mcd_theory(queries[0], views, ontology)
# add MCD preferences to the theory
pref_t = preferences.preference_clauses(queries[0], views, preflist, t)
# generate the RW theory based on the MCD theory
rw_t = mcdsat.rw.rw_theory(queries[0], views, pref_t)
# add RW preferences to the theory
pref_rw_t = preferences.preference_rw_clauses(queries[0], views, preflist, rw_t)
# feed the theory to the d-DNNF compiler
nnf_filename = compile_ddnnf(pref_rw_t)
# generate the the cost file
cost_file = preferences.preference_cost_file(preflist if preflist else [], pref_rw_t, len(views))
# find the best model of the d-DNNF theory and its cost
(cost, model) = enumerate_best_model(nnf_filename, cost_file)
#TODO move somewhere more suitable
if options.logging_output_file:
modelcount = count_models(nnf_filename)
ff = open(options.logging_output_file + ".count", "w")
print >> ff, modelcount
ff.close()
esttime = model_enumeration_time(nnf_filename)
ff = open(options.logging_output_file + ".time", "w")
print >> ff, esttime
ff.close()
print cost, rw_rebuild(queries[0], views, pref_rw_t, model)
def mcd(views, queries, ontology, costs, preflist):
# generate the MCD theory
t = mcdsat.mcd.mcd_theory(queries[0], views, ontology)
# add preferences to the theory
if preflist:
pref_t = preferences.preference_clauses(queries[0], views, preflist, t)
else:
pref_t = t
# feed the theory to the d-DNNF compiler
nnf_filename = compile_ddnnf(pref_t)
# enumerate the models of the d-DNNF theory
models = enumerate_models(nnf_filename)
for m in models:
print map(lambda v : t.vs.reverse(v), m)
