config.ilp.solver="CPLEX"

cyanide = Graph.fromGMLString("""graph [
     node [ id 0 label "H" ]
     node [ id 1 label "C" ]
     node [ id 2 label "N" ]                                                              
     edge [ source 0 target 1 label "-" ]
     edge [ source 1 target 2 label "#" ]                                                       
]""", name="Cyanide")

#adenine = Graph.fromGMLString(
"""graph [
    node [ id 1 label "C" ]
    node [ id 2 label "C" ]
    node [ id 3 label "N" ]
    node [ id 4 label "C" ]
    node [ id 5 label "N" ]
    node [ id 6 label "N" ]
    node [ id 7 label "C" ]
    node [ id 8 label "N" ]
    node [ id 9 label "C" ]
    node [ id 10 label "N" ]
    node [ id 11 label "H" ]
    node [ id 12 label "H" ]
    node [ id 13 label "H" ]
    node [ id 14 label "H" ]
    node [ id 15 label "H" ]
    edge [ source 6 target 2 label "-" ]
    edge [ source 2 target 1 label "=" ]
    edge [ source 1 target 9 label "-" ]
    edge [ source 9 target 10 label "-" ]
    edge [ source 10 target 12 label "-" ]
    edge [ source 10 target 11 label "-" ]
    edge [ source 9 target 8 label "=" ]
    edge [ source 8 target 7 label "-" ]
    edge [ source 7 target 6 label "=" ]
    edge [ source 2 target 3 label "-" ]
    edge [ source 4 target 3 label "-" ]
    edge [ source 5 target 4 label "=" ]
    edge [ source 1 target 5 label "-" ]
    edge [ source 4 target 13 label "-" ]
    edge [ source 7 target 14 label "-" ]
    edge [ source 15 target 3 label "-" ]                                                     
]"""
#, name="Adenine")

chain = Rule.fromGMLString(
"""rule [
   left [
     edge [ source 1 target 2 label "-" ]
     edge [ source 1 target 3 label "-" ]
     edge [ source 4 target 5 label "#" ]
   ]
   context [
     node [ id 1 label "N" ]
     node [ id 2 label "H"]
     node [ id 3 label "H"]
     node [ id 4 label "C"]
     node [ id 5 label "N"]
   ]
   right [
    edge [ source 1 target 4 label "=" ]
    edge [ source 4 target 5 label "-" ]
    edge [ source 5 target 2 label "-" ]
    edge [ source 5 target 3 label "-" ]                                                                                                                          
   ]
]"""
)

branchtriple = Rule.fromGMLString(
"""rule [
   left [
    edge [ source 2 target 3 label "#" ]
    edge [ source 5 target 6 label "-" ]
   ]
   context [
    node [ id 1 label "H" ]
    node [ id 2 label "C"]
    node [ id 3 label "N"]
    node [ id 4 label "N"]
    node [ id 5 label "C"]
    node [ id 6 label "H"]
    edge [ source 1 target 2 label "-" ]
    edge [ source 4 target 5 label "#" ]
]
   right [
    edge [ source 2 target 3 label "=" ]
    edge [ source 3 target 6 label "-" ]  
    edge [ source 2 target 5 label "-" ]                                                                                                                
   ]
]"""
)

branchtriple = Rule.fromGMLString(
"""rule [
   left [
    edge [ source 2 target 3 label "=" ]
    edge [ source 5 target 6 label "-" ]
   ]
   context [
    node [ id 1 label "H" ]
    node [ id 2 label "C"]
    node [ id 3 label "N"]
    node [ id 4 label "N"]
    node [ id 5 label "C"]
    node [ id 6 label "H"]
    edge [ source 1 target 2 label "-" ]
    edge [ source 4 target 5 label "#" ]
]
   right [
    edge [ source 2 target 3 label "-" ]
    edge [ source 3 target 6 label "-" ]  
    edge [ source 2 target 5 label "-" ]                                                                                                                
   ]
]"""
)

flowPrinter = FlowPrinter()
flowPrinter.printUnfiltered = False

postSection("Loaded Graphs")
for a in inputGraphs:
	a.print()
postSection("Loaded Rules")
for a in inputRules:
	a.print()

dg = DG(graphDatabase=inputGraphs)
dg.build().execute(
	addSubset(inputGraphs)
	>> rightPredicate[
            lambda d: all(g.vLabelCount("C") + g.vLabelCount("N") <= 10 for g in d.right)
        ](
            repeat(revive(inputRules)) #Revive not necessary
        )
)
dg.print()
postSection("Product Graphs")
for a in dg.vertices:
	a.graph.print()

flow = Flow(dg)
flow.addSource(cyanide)
#flow.addSink(adenine)
flow.findSolutions()
flow.solutions.list()
flow.solutions.print(flowPrinter)


sys.exit(0)

rc = rcEvaluator(inputRules)
for dRef in dg.derivations:
	der = dRef.derivation
	educt = rcId(der.left[0])
	for i in range(1, len(der.left)):
		educt = educt *rcParallel* rcId(der.left[i])
	product = rcId(der.right[0])
	for i in range(1, len(der.right)):
		product = product *rcParallel* rcId(der.right[i])
	rcExp = educt *rcSuper(allowPartial=False)* der.rule *rcSuper(allowPartial=False)* product
	res = rc.eval(rcExp)
	dRef.print()
	for a in res:
		a.print()
		a.printGML()