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clingo_py_int.py
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clingo_py_int.py
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from clorm import Predicate, ConstantField, IntegerField, RawField
from clorm.clingo import Control
from clorm import *
import pydot
user_inputs_list = []
textfile = open("user_inputs.lp", "w")
for element in user_inputs_list:
textfile.write(element + "\n")
textfile.close()
params=["max_ab_lvl(4).","generate_q(mustPayCorpTax(john,cakefactory)).","overrides(b_2,b_1).", "max_graph_level(3)."]
textfile = open("params.lp", "w")
for element in params:
textfile.write(element + "\n")
textfile.close()
class Const(Predicate):
val=IntegerField
class Opp_const(Predicate):
val = IntegerField
class Ask_user(Predicate):
name = RawField
class DirectedEdge(Predicate):
sgn = ConstantField
edge1 = RawField
edge2 = RawField
d = 0
ctrl = Control(unifier=[Const,Opp_const,Ask_user,DirectedEdge])
ctrl.load("asp_transpiler_output.lp")
ctrl.load("asp_fixed_code_2.lp")
ctrl.load("params.lp")
ctrl.load("user_inputs.lp")
from clorm import FactBase
consts=[Const(val=0)]
opp_consts=[Opp_const(val=1)]
instance1 = FactBase(consts)
instance2 = FactBase(consts +opp_consts)
ctrl.add_facts(instance1)
ctrl.ground([("base",[])])
solution=None
def on_model(model):
global solution # Note: use `nonlocal` keyword depending on scope
solution = model.facts(atoms=True)
ctrl.solve(on_model=on_model)
if not solution:
#print('DB not notifiable')
print("Query not legally true")
d = 1
q1_set=set()
#print(solution)
if solution:
query1=solution.query(Ask_user)
q1_set=set(query1.all())
#REPEAT for opp constraint
ctrl = Control(unifier=[Const,Opp_const,Ask_user,DirectedEdge])
ctrl.load("asp_transpiler_output.lp")
ctrl.load("asp_fixed_code_2.lp")
ctrl.load("params.lp")
ctrl.load("user_inputs.lp")
#instance1 = FactBase(consts)
#instance2 = FactBase(consts+opp_consts)
ctrl.add_facts(instance2)
ctrl.ground([("base",[])])
solution=None
def on_model(model):
global solution # Note: use `nonlocal` keyword depending on scope
solution = model.facts(atoms=True)
ctrl.solve(on_model=on_model)
if not solution:
#print('DB not notifiable')
print("Query is legally true")
d = 2
q2_set=set()
#print(solution)
if solution:
query1=solution.query(Ask_user)
q2_set=set(query1.all())
if d==1:
ctrl = Control(unifier=[Const,Opp_const,Ask_user,DirectedEdge])
ctrl.load("asp_transpiler_output.lp")
ctrl.load("asp_fixed_code_2.lp")
ctrl.load("params.lp")
ctrl.load("user_inputs.lp")
ctrl.add_facts(instance2)
ctrl.ground([("base",[])])
solution=None
def on_model(model):
global solution # Note: use `nonlocal` keyword depending on scope
solution = model.facts(atoms=True)
ctrl.solve(on_model=on_model)
if not solution:
#print('DB not notifiable')
print("Error")
#print(solution)
if solution:
query1=solution.query(DirectedEdge)
edge_set_1=set(query1.all())
elif d==2:
ctrl = Control(unifier=[Const,Opp_const,Ask_user,DirectedEdge])
ctrl.load("asp_transpiler_output.lp")
ctrl.load("asp_fixed_code_2.lp")
ctrl.load("params.lp")
ctrl.load("user_inputs.lp")
ctrl.add_facts(instance1)
ctrl.ground([("base",[])])
solution=None
def on_model(model):
global solution # Note: use `nonlocal` keyword depending on scope
solution = model.facts(atoms=True)
ctrl.solve(on_model=on_model)
if not solution:
#print('DB not notifiable')
print("Error")
#print(solution)
if solution:
query1=solution.query(DirectedEdge)
edge_set_1=set(query1.all())
else:
edge_set_1=set()
question_list=list(q1_set.union(q2_set))
for elt in question_list:
print(elt)
edge_list=list(edge_set_1)
my_edge_lst = []
for edge in edge_list:
my_edge_lst.append([str(edge.sgn),str(edge.edge1), str(edge.edge2)])
def listunion (xs, ys):
return (xs + [i for i in ys if i not in xs])
def nodes_of_list (xs):
a_list = list (map (lambda v: v[1], xs))
b_list = list (map (lambda v: v[2], xs))
return (listunion(a_list, b_list))
def generate_graph(glist):
nds = nodes_of_list(glist)
graph = pydot.Dot("my_graph", graph_type="digraph", bgcolor="white")
for n in nds:
graph.add_node(pydot.Node(n, shape="box"))
for triple in glist:
if triple[0] == 'pos':
graph.add_edge(pydot.Edge(triple[1], triple[2], color="blue"))
else:
graph.add_edge(pydot.Edge(triple[1], triple[2], color="red"))
graph.write_pdf("output.pdf")
generate_graph(my_edge_lst)