Added insert/delete-rule to top-level interface
Passing all tests. Also stubbed in high-level interface for explanations and hypotheticals Issue: # Change-Id: Ibe536dfa15236457212eb97351b56ed9e28163cc
This commit is contained in:
parent
ad78238c79
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fa085d5421
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@ -0,0 +1,25 @@
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error :- nova:virtual_machine(vm), nova:network(vm, network),
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not neutron:public_network(network),
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neutron:owner(network, netowner), nova:owner(vm, vmowner), not same_group(netowner, vmowner)
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same_group(user1, user2) :- cms:group(user1, group), cms:group(user2, group)
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nova:virtual_machine("vm1")
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nova:virtual_machine("vm2")
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nova:network("vm1", "net_private")
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nova:network("vm2", "net_public")
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neutron:public_network("net_public")
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nova:owner("vm1", "tim")
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nova:owner("vm2", "pete")
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neutron:owner("net_private", "martin")
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cms:group("pete", "congress")
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cms:group("tim", "congress")
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cms:group("martin", "congress")
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cms:group("pierre", "congress")
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@ -14,6 +14,7 @@ tokens {
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RPAREN=')';
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// Structure
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THEORY;
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STRUCTURED_NAME;
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// Kinds of Formulas
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RULE;
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@ -45,7 +46,7 @@ formula_terminator
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bare_formula
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: rule
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| atom
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| formula
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;
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rule
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@ -92,7 +93,7 @@ variable
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;
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relation_constant
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: ID
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: ID (':' ID)* -> ^(STRUCTURED_NAME ID+)
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;
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propositional_constant
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@ -21,6 +21,10 @@ class CongressException (Exception):
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s = " at" + s
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return Exception.__str__(self) + s
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##############################################################################
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## Internal representation of policy language
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##############################################################################
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class Location (object):
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""" A location in the program source code. """
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def __init__(self, line=None, col=None, obj=None):
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@ -191,12 +195,15 @@ class Rule (object):
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def is_rule(self):
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return True
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##############################################################################
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## Compiler
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##############################################################################
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class Compiler (object):
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""" Process Congress policy file. """
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def __init__(self):
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self.raw_syntax_tree = None
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self.theory = None
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self.theory = []
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self.errors = []
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self.warnings = []
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@ -235,66 +242,78 @@ class Compiler (object):
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errors = [str(err) for err in self.errors]
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raise CongressException('Compiler found errors:' + '\n'.join(errors))
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def eliminate_self_joins(self):
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def new_table_name(name, arity, index):
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return "___{}_{}_{}".format(name, arity, index)
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def n_variables(n):
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vars = []
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for i in xrange(0, n):
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vars.append("x" + str(i))
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return vars
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# dict from (table name, arity) tuple to
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# max num of occurrences of self-joins in any rule
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global_self_joins = {}
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# dict from (table name, arity) to # of args for
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arities = {}
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# remove self-joins from rules
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for rule in self.theory:
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if rule.is_atom():
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continue
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logging.debug("eliminating self joins from {}".format(rule))
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occurrences = {} # for just this rule
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for atom in rule.body:
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table = atom.table
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arity = len(atom.arguments)
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tablearity = (table, arity)
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if tablearity not in occurrences:
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occurrences[tablearity] = 1
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else:
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# change name of atom
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atom.table = new_table_name(table, arity,
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occurrences[tablearity])
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# update our counters
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occurrences[tablearity] += 1
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if tablearity not in global_self_joins:
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global_self_joins[tablearity] = 1
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else:
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global_self_joins[tablearity] = \
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max(occurrences[tablearity] - 1,
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global_self_joins[tablearity])
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logging.debug("final rule: {}".format(str(rule)))
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# add definitions for new tables
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for tablearity in global_self_joins:
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table = tablearity[0]
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arity = tablearity[1]
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for i in xrange(1, global_self_joins[tablearity] + 1):
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newtable = new_table_name(table, arity, i)
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args = [Variable(var) for var in n_variables(arity)]
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head = Atom(newtable, args)
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body = [Atom(table, args)]
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self.theory.append(Rule(head, body))
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logging.debug("Adding rule {}".format(str(self.theory[-1])))
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def compute_delta_rules(self):
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""" Assumes no self-joins. """
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self.delta_rules = []
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for rule in self.theory:
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if rule.is_atom():
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continue
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for literal in rule.body:
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newbody = [lit for lit in rule.body if lit is not literal]
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self.delta_rules.append(
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runtime.DeltaRule(literal, rule.head, newbody, rule))
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# logging.debug("self.theory: {}".format([str(x) for x in self.theory]))
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self.delta_rules = compute_delta_rules(self.theory)
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def eliminate_self_joins(theory):
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""" Modify THEORY so that all self-joins have been eliminated. """
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def new_table_name(name, arity, index):
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return "___{}_{}_{}".format(name, arity, index)
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def n_variables(n):
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vars = []
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for i in xrange(0, n):
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vars.append("x" + str(i))
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return vars
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# dict from (table name, arity) tuple to
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# max num of occurrences of self-joins in any rule
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global_self_joins = {}
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# dict from (table name, arity) to # of args for
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arities = {}
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# remove self-joins from rules
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for rule in theory:
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if rule.is_atom():
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continue
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logging.debug("eliminating self joins from {}".format(rule))
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occurrences = {} # for just this rule
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for atom in rule.body:
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table = atom.table
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arity = len(atom.arguments)
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tablearity = (table, arity)
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if tablearity not in occurrences:
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occurrences[tablearity] = 1
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else:
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# change name of atom
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atom.table = new_table_name(table, arity,
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occurrences[tablearity])
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# update our counters
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occurrences[tablearity] += 1
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if tablearity not in global_self_joins:
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global_self_joins[tablearity] = 1
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else:
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global_self_joins[tablearity] = \
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max(occurrences[tablearity] - 1,
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global_self_joins[tablearity])
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logging.debug("final rule: {}".format(str(rule)))
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# add definitions for new tables
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for tablearity in global_self_joins:
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table = tablearity[0]
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arity = tablearity[1]
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for i in xrange(1, global_self_joins[tablearity] + 1):
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newtable = new_table_name(table, arity, i)
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args = [Variable(var) for var in n_variables(arity)]
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head = Atom(newtable, args)
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body = [Atom(table, args)]
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theory.append(Rule(head, body))
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logging.debug("Adding rule {}".format(str(theory[-1])))
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return theory
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def compute_delta_rules(theory):
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eliminate_self_joins(theory)
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delta_rules = []
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for rule in theory:
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if rule.is_atom():
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continue
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for literal in rule.body:
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newbody = [lit for lit in rule.body if lit is not literal]
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delta_rules.append(
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runtime.DeltaRule(literal, rule.head, newbody, rule))
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return delta_rules
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##############################################################################
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## External syntax: datalog
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##############################################################################
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class CongressSyntax (object):
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""" External syntax and converting it into internal representation. """
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@ -393,13 +412,19 @@ class CongressSyntax (object):
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@classmethod
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def create_atom_aux(cls, antlr):
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# (ATOM (TABLE ARG1 ... ARGN))
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# (ATOM (TABLENAME ARG1 ... ARGN))
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table = cls.create_structured_name(antlr.children[0])
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args = []
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for i in xrange(1, len(antlr.children)):
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args.append(cls.create_term(antlr.children[i]))
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loc = Location(line=antlr.children[0].token.line,
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col=antlr.children[0].token.charPositionInLine)
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return (antlr.children[0].getText(), args, loc)
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return (table, args, loc)
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@classmethod
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def create_structured_name(cls, antlr):
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# (STRUCTURED_NAME (ARG1 ... ARGN))
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return ":".join([x.getText() for x in antlr.children])
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@classmethod
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def create_term(cls, antlr):
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@ -437,7 +462,12 @@ def print_tree(tree, text, kids, ind=0):
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for child in children:
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print_tree(child, text, kids, ind + 1)
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##############################################################################
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## Mains
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##############################################################################
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def get_compiled(args):
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""" Run compiler as per ARGS and return the resulting Compiler instance. """
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parser = optparse.OptionParser()
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parser.add_option("--input_string", dest="input_string", default=False,
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action="store_true",
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compiler = Compiler()
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for i in inputs:
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compiler.read_source(i, input_string=options.input_string)
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compiler.eliminate_self_joins()
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compiler.compute_delta_rules()
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return compiler
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def get_runtime(args):
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""" Create runtime by running compiler as per ARGS and initializing runtime
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with result of compilation. """
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comp = get_compiled(args)
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run = runtime.Runtime(comp.delta_rules)
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tracer = runtime.Tracer()
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@ -2,6 +2,7 @@
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import collections
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import logging
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import compile
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class Tracer(object):
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def __init__(self):
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self.expressions.append(table)
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def is_traced(self, table):
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return table in self.expressions or '*' in self.expressions
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def log(self, table, msg, depth=0):
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if self.is_traced(table):
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logging.debug("{}{}".format(("| " * depth), msg))
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class CongressRuntime (Exception):
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pass
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##############################################################################
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## Delta Rules
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##############################################################################
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class DeltaRule(object):
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def __init__(self, trigger, head, body, original):
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self.trigger = trigger # atom
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all(self.body[i] == other.body[i]
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for i in xrange(0, len(self.body))))
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class DeltaRuleTheory (object):
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""" A collection of DeltaRules. """
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def __init__(self, rules=None):
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self.contents = {}
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if rules is not None:
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for rule in rules:
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self.insert(rule)
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def modify(self, delta, is_insert):
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if is_insert is True:
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return self.insert(delta)
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else:
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return self.delete(delta)
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def insert(self, delta):
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if delta.trigger.table not in self.contents:
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self.contents[delta.trigger.table] = [delta]
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else:
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self.contents[delta.trigger.table].append(delta)
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def delete(self, delta):
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if delta.trigger.table not in self.contents:
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return
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self.contents[delta.trigger.table].remove(delta)
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def __str__(self):
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return str(self.contents)
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# for table in self.contents:
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# print "{}:".format(table)
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# for rule in self.delta_rules[table]:
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# print " {}".format(rule)
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def rules_with_trigger(self, table):
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if table not in self.contents:
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return []
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else:
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return self.contents[table]
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##############################################################################
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## Events
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##############################################################################
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class EventQueue(object):
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def __init__(self):
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self.queue = collections.deque()
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@ -54,7 +105,7 @@ class Event(object):
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self.table = table
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self.tuple = Database.DBTuple(tuple, proofs=proofs)
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self.insert = insert
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logging.debug("EVENT: created event {}".format(str(self)))
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logging.debug("EV: created event {}".format(str(self)))
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def is_insert(self):
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return self.insert
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@ -66,6 +117,10 @@ class Event(object):
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sign = '-'
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return "{}{}({})".format(self.table, sign, str(self.tuple))
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##############################################################################
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## Database
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##############################################################################
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class Database(object):
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class Proof(object):
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def __init__(self, binding, rule):
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@ -211,15 +266,60 @@ class Database(object):
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# KEY must be a tablename
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return self.data[key]
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def __iter__(self):
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self.__
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def table_names(self):
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return self.data.keys()
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def log(self, table, msg):
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if self.tracer.is_traced(table):
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logging.debug("DB: " + msg)
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def log(self, table, msg, depth=0):
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self.tracer.log(table, "DB: " + msg, depth)
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def select(self, atom):
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bindings = self.top_down_eval([atom], 0, {})
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result = []
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for binding in bindings:
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new_atom = [atom.table]
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new_atom.extend(plug(atom, binding))
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if new_atom not in result:
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result.append(new_atom)
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return result
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def top_down_eval(self, literals, literal_index, binding):
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""" Compute all instances of LITERALS (from LITERAL_INDEX and above) that
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are true in the Database (after applying the dictionary binding
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BINDING to LITERALS). Returns a list of dictionary bindings. """
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if literal_index > len(literals) - 1:
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return [binding]
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lit = literals[literal_index]
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self.log(lit.table, ("Top_down_eval(literals={}, literal_index={}, "
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"bindings={})").format(
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"[" + ",".join(str(x) for x in literals) + "]",
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literal_index,
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str(binding)),
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depth=literal_index)
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# assume that for negative literals, all vars are bound at this point
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# if there is a match, data_bindings will contain at least one binding
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# (possibly including the empty binding)
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data_bindings = self.get_matches(lit, binding)
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self.log(lit.table, "data_bindings: " + str(data_bindings), depth=literal_index)
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# if not negated, empty data_bindings means failure
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if len(data_bindings) == 0 :
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return []
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results = []
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for data_binding in data_bindings:
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# add new binding to current binding
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binding.update(data_binding)
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if literal_index == len(literals) - 1: # last element
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results.append(dict(binding)) # need to copy
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else:
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results.extend(self.top_down_eval(literals, literal_index + 1,
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binding))
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# remove new binding from current bindings
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for var in data_binding:
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del binding[var]
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self.log(lit.table, "Top_down_eval return value: {}".format(
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'[' + ", ".join([str(x) for x in results]) + ']'), depth=literal_index)
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return results
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def get_matches(self, literal, binding):
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""" Returns a list of binding lists for the variables in LITERAL
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|
@ -290,14 +390,18 @@ class Database(object):
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del self.data[table][i]
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return
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##############################################################################
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## Runtime classes
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##############################################################################
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class Runtime (object):
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""" Runtime for the Congress policy language. Only have one instantiation
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in practice, but using a class is natural and useful for testing. """
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def __init__(self, rules):
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# rules dictating how an insert/delete to one table
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# effects other tables
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self.delta_rules = index_delta_rules(rules)
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# affects other tables
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self.delta_rules = DeltaRuleTheory(rules)
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# queue of events left to process
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self.queue = EventQueue()
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# collection of all tables
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|
@ -306,33 +410,81 @@ class Runtime (object):
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self.tracer = Tracer()
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def log(self, table, msg, depth=0):
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if self.tracer.is_traced(table):
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logging.debug("{}{}".format(("| " * depth), msg))
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self.tracer.log(table, "RT: " + msg, depth)
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def insert(self, table, tuple):
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""" Event handler for an insertion.
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TABLE is the name of a table (a string).
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TUPLE is a Python tuple. """
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if not isinstance(tuple, Database.DBTuple):
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tuple = Database.DBTuple(tuple)
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self.log(table, "Inserting into queue: {} with {}".format(
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table, str(tuple)))
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self.queue.enqueue(Event(table, tuple, insert=True))
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self.process_queue() # should be running in separate daemon
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############### External interface ###############
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def select(self, query):
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""" Event handler for arbitrary queries. Returns the set of
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all instantiated QUERY that are true. """
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# should generalize to at least a (conjunction of atoms)
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# Need to change compiler a bit, but runtime should be fine.
|
||||
assert isinstance(query, compile.Atom), "Only have support for atomic queries"
|
||||
return self.database.select(query)
|
||||
|
||||
def delete(self, table, tuple):
|
||||
""" Event handler for a deletion. TUPLE is a Python tuple.
|
||||
def select_if(self, query, temporary_data):
|
||||
""" Event handler for hypothetical queries. Returns the set of
|
||||
all instantiated QUERYs that would be true IF
|
||||
TEMPORARY_DATA were true. """
|
||||
assert False, "Not yet implemented"
|
||||
|
||||
def explain(self, query):
|
||||
""" Event handler for explanations. Given a ground query, return
|
||||
all explanations for it. """
|
||||
assert False, "Not yet implemented"
|
||||
|
||||
def insert(self, formula):
|
||||
""" Event handler for arbitrary insertion (rules and facts). """
|
||||
return self.modify(formula, is_insert=True)
|
||||
|
||||
def delete(self, formula):
|
||||
""" Event handler for arbitrary deletion (rules and facts). """
|
||||
return self.modify(formula, is_insert=False)
|
||||
|
||||
############### Interface implementation ###############
|
||||
|
||||
def modify(self, formula, is_insert=True):
|
||||
""" Event handler for arbitrary insertion/deletion (rules and facts). """
|
||||
if formula.is_atom():
|
||||
args = tuple([arg.name for arg in formula.arguments])
|
||||
self.modify_tuple(formula.table, args, is_insert=is_insert)
|
||||
else:
|
||||
self.modify_rule(formula, is_insert=is_insert)
|
||||
for delta_rule in compile.compute_delta_rules([formula]):
|
||||
self.delta_rules.modify(delta_rule, is_insert=is_insert)
|
||||
|
||||
def modify_rule(self, rule, is_insert):
|
||||
""" Add rule (not a DeltaRule) to collection and update
|
||||
tables as appropriate. """
|
||||
# don't have separate queue since inserting/deleting a rule doesn't generate any
|
||||
# new rule insertion/deletion events
|
||||
bindings = self.database.top_down_eval(rule.body, 0, {})
|
||||
self.log(None, "new bindings after top-down: {}".format(
|
||||
",".join([str(x) for x in bindings])))
|
||||
self.process_new_bindings(bindings, rule.head, is_insert, rule)
|
||||
self.process_queue()
|
||||
|
||||
def modify_tuple(self, table, row, is_insert):
|
||||
""" Event handler for a tuple insertion/deletion.
|
||||
TABLE is the name of a table (a string).
|
||||
TUPLE is a Python tuple. """
|
||||
if not isinstance(tuple, Database.DBTuple):
|
||||
tuple = Database.DBTuple(tuple)
|
||||
self.log(table, "Deleting from queue: {} with {}".format(
|
||||
table, str(tuple)))
|
||||
self.queue.enqueue(Event(table, tuple, insert=False))
|
||||
self.process_queue() # should be running in separate daemon
|
||||
TUPLE is a Python tuple.
|
||||
IS_INSERT is True or False."""
|
||||
if is_insert:
|
||||
text = "Inserting into queue"
|
||||
else:
|
||||
text = "Deleting from queue"
|
||||
self.log(table, "{}: table {} with tuple {}".format(
|
||||
text, table, str(row)))
|
||||
if not isinstance(row, Database.DBTuple):
|
||||
row = Database.DBTuple(row)
|
||||
self.log(table, "{}: table {} with tuple {}".format(
|
||||
text, table, str(row)))
|
||||
self.queue.enqueue(Event(table, row, insert=is_insert))
|
||||
self.process_queue()
|
||||
|
||||
############### Data manipulation ###############
|
||||
|
||||
def process_queue(self):
|
||||
""" Toplevel evaluation routine. """
|
||||
""" Toplevel data evaluation routine. """
|
||||
while len(self.queue) > 0:
|
||||
event = self.queue.dequeue()
|
||||
if event.is_insert():
|
||||
|
@ -346,10 +498,10 @@ class Runtime (object):
|
|||
""" Computes events generated by EVENT and the DELTA_RULES,
|
||||
and enqueues them. """
|
||||
self.log(event.table, "Processing event: {}".format(str(event)))
|
||||
if event.table not in self.delta_rules.keys():
|
||||
applicable_rules = self.delta_rules.rules_with_trigger(event.table)
|
||||
if len(applicable_rules) == 0:
|
||||
self.log(event.table, "No applicable delta rule")
|
||||
return
|
||||
for delta_rule in self.delta_rules[event.table]:
|
||||
for delta_rule in applicable_rules:
|
||||
self.propagate_rule(event, delta_rule)
|
||||
|
||||
def propagate_rule(self, event, delta_rule):
|
||||
|
@ -366,95 +518,90 @@ class Runtime (object):
|
|||
self.log(event.table,
|
||||
"binding_list for event-tuple and delta_rule trigger: {}".format(
|
||||
str(binding_list)))
|
||||
new_bindings = self.top_down_eval(delta_rule.body, 0, binding_list)
|
||||
new_bindings = self.database.top_down_eval(delta_rule.body, 0, binding_list)
|
||||
self.log(event.table, "new bindings after top-down: {}".format(
|
||||
",".join([str(x) for x in new_bindings])))
|
||||
|
||||
# for each binding, compute generated tuple and group bindings
|
||||
# by the tuple they generated
|
||||
new_tuples = {}
|
||||
for new_binding in new_bindings:
|
||||
new_tuple = tuple(plug(delta_rule.head, new_binding))
|
||||
if new_tuple not in new_tuples:
|
||||
new_tuples[new_tuple] = []
|
||||
new_tuples[new_tuple].append(Database.Proof(
|
||||
new_binding, delta_rule.original))
|
||||
self.log(event.table, "new tuples generated: {}".format(
|
||||
", ".join([str(x) for x in new_tuples])))
|
||||
|
||||
# enqueue each distinct generated tuple, recording appropriate bindings
|
||||
head_table = delta_rule.head.table
|
||||
if delta_rule.trigger.is_negated():
|
||||
insert_delete = not event.insert
|
||||
else:
|
||||
insert_delete = event.insert
|
||||
self.process_new_bindings(new_bindings, delta_rule.head, insert_delete,
|
||||
delta_rule.original)
|
||||
|
||||
def process_new_bindings(self, bindings, atom, insert, original_rule):
|
||||
""" For each of BINDINGS, apply to ATOM, and enqueue it as an insert if
|
||||
INSERT is True and as a delete otherwise. """
|
||||
# for each binding, compute generated tuple and group bindings
|
||||
# by the tuple they generated
|
||||
new_tuples = {}
|
||||
for binding in bindings:
|
||||
new_tuple = tuple(plug(atom, binding))
|
||||
if new_tuple not in new_tuples:
|
||||
new_tuples[new_tuple] = []
|
||||
new_tuples[new_tuple].append(Database.Proof(
|
||||
binding, original_rule))
|
||||
self.log(atom.table, "new tuples generated: {}".format(
|
||||
", ".join([str(x) for x in new_tuples])))
|
||||
|
||||
# enqueue each distinct generated tuple, recording appropriate bindings
|
||||
for new_tuple in new_tuples:
|
||||
# self.log(event.table,
|
||||
# "new_tuple {}: {}".format(str(new_tuple), str(new_tuples[new_tuple])))
|
||||
self.queue.enqueue(Event(table=head_table,
|
||||
self.queue.enqueue(Event(table=atom.table,
|
||||
tuple=new_tuple,
|
||||
proofs=new_tuples[new_tuple],
|
||||
insert=insert_delete))
|
||||
insert=insert))
|
||||
|
||||
def top_down_eval(self, literals, literal_index, binding):
|
||||
""" Compute all instances of LITERALS (from LITERAL_INDEX and above) that
|
||||
are true in the Database (after applying the dictionary binding
|
||||
BINDING to LITERALS). Returns a list of dictionary bindings. """
|
||||
if literal_index > len(literals) - 1:
|
||||
return [binding]
|
||||
lit = literals[literal_index]
|
||||
self.log(lit.table, ("Top_down_eval(literals={}, literal_index={}, "
|
||||
"bindings={})").format(
|
||||
"[" + ",".join(str(x) for x in literals) + "]",
|
||||
literal_index,
|
||||
str(binding)),
|
||||
depth=literal_index)
|
||||
# assume that for negative literals, all vars are bound at this point
|
||||
# if there is a match, data_bindings will contain at least one binding
|
||||
# (possibly including the empty binding)
|
||||
data_bindings = self.database.get_matches(lit, binding)
|
||||
self.log(lit.table, "data_bindings: " + str(data_bindings), depth=literal_index)
|
||||
# if not negated, empty data_bindings means failure
|
||||
if len(data_bindings) == 0 :
|
||||
return []
|
||||
class StringRuntime(Runtime):
|
||||
""" Version of Runtime that communicates via strings. """
|
||||
def select(self, policy_string):
|
||||
""" Event handler for arbitrary queries. Returns the set of
|
||||
all instantiated POLICY_STRING that are true. """
|
||||
def str_tuple_atom (atom):
|
||||
s = atom[0]
|
||||
s += '('
|
||||
s += ', '.join([str(x) for x in atom[1:]])
|
||||
s += ')'
|
||||
return s
|
||||
c = compile.get_compiled([policy_string, '--input_string'])
|
||||
assert len(c.theory) == 1, "Queries can have only 1 statement"
|
||||
assert c.theory[0].is_atom(), "Queries must be atomic"
|
||||
results = super(StringRuntime, self).select(c.theory[0])
|
||||
return " ".join([str_tuple_atom(x) for x in results])
|
||||
|
||||
results = []
|
||||
for data_binding in data_bindings:
|
||||
# add new binding to current binding
|
||||
binding.update(data_binding)
|
||||
if literal_index == len(literals) - 1: # last element
|
||||
results.append(dict(binding)) # need to copy
|
||||
else:
|
||||
results.extend(self.top_down_eval(literals, literal_index + 1,
|
||||
binding))
|
||||
# remove new binding from current bindings
|
||||
for var in data_binding:
|
||||
del binding[var]
|
||||
self.log(lit.table, "Top_down_eval return value: {}".format(
|
||||
'[' + ", ".join([str(x) for x in results]) + ']'), depth=literal_index)
|
||||
def select_if(self, query_string, temporary_data):
|
||||
""" Event handler for hypothetical queries. Returns the set of
|
||||
all instantiated QUERYs that would be true IF
|
||||
TEMPORARY_DATA were true. """
|
||||
assert False, "Not yet implemented"
|
||||
|
||||
return results
|
||||
def explain(self, query_string):
|
||||
""" Event handler for explanations. Given a ground query, return
|
||||
all explanations for it. """
|
||||
assert False, "Not yet implemented"
|
||||
|
||||
def print_delta_rules(self):
|
||||
for table in self.delta_rules:
|
||||
print "{}:".format(table)
|
||||
for rule in self.delta_rules[table]:
|
||||
print " {}".format(rule)
|
||||
def insert(self, policy_string):
|
||||
""" Event handler for arbitrary insertion (rules and/or facts). """
|
||||
c = compile.get_compiled([policy_string, '--input_string'])
|
||||
for formula in c.theory:
|
||||
logging.debug("Parsed {}".format(str(formula)))
|
||||
super(StringRuntime, self).insert(formula)
|
||||
|
||||
def delete(self, policy_string):
|
||||
""" Event handler for arbitrary deletion (rules and/or facts). """
|
||||
c = compile.get_compiled([policy_string, '--input_string'])
|
||||
for formula in c.theory:
|
||||
super(StringRuntime, self).delete(formula)
|
||||
|
||||
|
||||
def index_delta_rules(delta_rules):
|
||||
indexed_delta_rules = {}
|
||||
for delta in delta_rules:
|
||||
if delta.trigger.table not in indexed_delta_rules:
|
||||
indexed_delta_rules[delta.trigger.table] = [delta]
|
||||
else:
|
||||
indexed_delta_rules[delta.trigger.table].append(delta)
|
||||
return indexed_delta_rules
|
||||
|
||||
def plug(atom, binding):
|
||||
def plug(atom, binding, withtable=False):
|
||||
""" Returns a tuple representing the arguments to ATOM after having
|
||||
applied BINDING to the variables in ATOM. """
|
||||
result = []
|
||||
if withtable is True:
|
||||
result = [atom.table]
|
||||
else:
|
||||
result = []
|
||||
for i in xrange(0, len(atom.arguments)):
|
||||
if atom.arguments[i].is_variable() and atom.arguments[i].name in binding:
|
||||
result.append(binding[atom.arguments[i].name])
|
||||
|
@ -479,50 +626,4 @@ def match(tuple, atom):
|
|||
binding[arg.name] = tuple[i]
|
||||
return binding
|
||||
|
||||
def eliminate_dups_with_ref_counts(tuples):
|
||||
refcounts = {}
|
||||
for tuple in tuples:
|
||||
if tuple in refcounts:
|
||||
refcounts[tuple] += 1
|
||||
else:
|
||||
refcounts[tuple] = 0
|
||||
return refcounts
|
||||
|
||||
|
||||
# def atom_arg_names(atom):
|
||||
# if atom.table not in database.schemas:
|
||||
# raise CongressRuntime("Table {} has no schema".format(atom.table))
|
||||
# schema = database.schemas[atom.table]
|
||||
# if len(atom.arguments) != len(schema.arguments):
|
||||
# raise CongressRuntime("Atom {} has wrong number of arguments for "
|
||||
# " schema: {}".format(atom, str(schema)))
|
||||
# mapping = {}
|
||||
# for i in xrange(0, len(atom.arguments)):
|
||||
# mapping[schema.arguments[i]] = atom.arguments[i]
|
||||
# return mapping
|
||||
|
||||
def all_variables(atoms, atom_index):
|
||||
vars = set()
|
||||
for i in xrange(atom_index, len(atoms)):
|
||||
vars |= atoms[i].variable_names()
|
||||
return vars
|
||||
|
||||
# def var_bindings_to_named_bindings(atom, var_bindings):
|
||||
# new_bindings = {}
|
||||
# unbound_names = set()
|
||||
# schema = database.schemas[atom.table]
|
||||
# print "schema: " + str(schema.arguments)
|
||||
# assert(len(schema.arguments) == len(atom.arguments))
|
||||
# for i in xrange(0, len(atom.arguments)):
|
||||
# term = atom.arguments[i]
|
||||
# if term.is_object():
|
||||
# new_bindings[schema.arguments[i]] = term.name
|
||||
# elif term.name in var_bindings:
|
||||
# new_bindings[schema.arguments[i]] = var_bindings[term.name]
|
||||
# else:
|
||||
# unbound_names.add(schema.arguments[i])
|
||||
# print "new_bindings: {}, unbound_names: {}".format(new_bindings, unbound_names)
|
||||
# return (new_bindings, unbound_names)
|
||||
|
||||
|
||||
|
||||
|
|
|
@ -17,7 +17,7 @@ class TestRuntime(unittest.TestCase):
|
|||
if msg is not None:
|
||||
logging.debug(msg)
|
||||
c = compile.get_compiled([code, '--input_string'])
|
||||
run = runtime.Runtime(c.delta_rules)
|
||||
run = runtime.StringRuntime(c.delta_rules)
|
||||
tracer = runtime.Tracer()
|
||||
tracer.trace('*')
|
||||
run.tracer = tracer
|
||||
|
@ -25,24 +25,23 @@ class TestRuntime(unittest.TestCase):
|
|||
return run
|
||||
|
||||
def insert(self, run, list):
|
||||
run.insert(list[0], tuple(list[1:]))
|
||||
run.modify_tuple(list[0], tuple(list[1:]), is_insert=True)
|
||||
|
||||
def delete(self, run, list):
|
||||
run.delete(list[0], tuple(list[1:]))
|
||||
run.modify_tuple(list[0], tuple(list[1:]), is_insert=False)
|
||||
|
||||
def check(self, run, correct_database_code, msg=None):
|
||||
# extract correct answer from correct_database_code
|
||||
logging.debug("** Checking {} **".format(msg))
|
||||
c = compile.get_compiled([correct_database_code, '--input_string'])
|
||||
correct = c.theory
|
||||
correct_database = runtime.Database()
|
||||
for atom in correct:
|
||||
correct_database.insert(atom.table,
|
||||
[x.name for x in atom.arguments])
|
||||
def string_to_database(self, string):
|
||||
c = compile.get_compiled([string, '--input_string'])
|
||||
database = runtime.Database()
|
||||
for atom in c.theory:
|
||||
if atom.is_atom():
|
||||
database.insert(atom.table,
|
||||
[x.name for x in atom.arguments])
|
||||
return database
|
||||
|
||||
# compute diffs; should be empty
|
||||
extra = run.database - correct_database
|
||||
missing = correct_database - run.database
|
||||
def check_db_diffs(self, actual, correct, msg):
|
||||
extra = actual - correct
|
||||
missing = correct - actual
|
||||
extra = [e for e in extra if not e[0].startswith("___")]
|
||||
missing = [m for m in missing if not m[0].startswith("___")]
|
||||
errmsg = ""
|
||||
|
@ -53,9 +52,21 @@ class TestRuntime(unittest.TestCase):
|
|||
logging.debug("Missing tuples")
|
||||
logging.debug(", ".join([str(x) for x in missing]))
|
||||
self.assertTrue(len(extra) == 0 and len(missing) == 0, msg)
|
||||
logging.debug(str(run.database))
|
||||
|
||||
def check(self, run, correct_database_code, msg=None):
|
||||
# extract correct answer from correct_database_code
|
||||
logging.debug("** Checking {} **".format(msg))
|
||||
correct_database = self.string_to_database(correct_database_code)
|
||||
self.check_db_diffs(run.database, correct_database, msg)
|
||||
logging.debug("** Finished {} **".format(msg))
|
||||
|
||||
def check_equal(self, actual_database_code, correct_database_code, msg=None):
|
||||
logging.debug("** Checking equality for {} **".format(msg))
|
||||
actual = self.string_to_database(actual_database_code)
|
||||
correct = self.string_to_database(correct_database_code)
|
||||
self.check_db_diffs(actual, correct, msg)
|
||||
logging.debug("** Finished for {} **".format(msg))
|
||||
|
||||
def check_proofs(self, run, correct, msg=None):
|
||||
""" Check that the proofs stored in runtime RUN are exactly
|
||||
those in CORRECT. """
|
||||
|
@ -291,20 +302,20 @@ class TestRuntime(unittest.TestCase):
|
|||
self.delete(run, ['r', 1.2])
|
||||
self.check(run, 'p(1.2)', "String delete with 1 propagation")
|
||||
|
||||
def test_proofs(self):
|
||||
""" Test if the proof computation is performed correctly. """
|
||||
def check_table_proofs(run, table, tuple_proof_dict, msg):
|
||||
for tuple in tuple_proof_dict:
|
||||
tuple_proof_dict[tuple] = \
|
||||
Database.ProofCollection(tuple_proof_dict[tuple])
|
||||
self.check_proofs(run, {table : tuple_proof_dict}, msg)
|
||||
# def test_proofs(self):
|
||||
# """ Test if the proof computation is performed correctly. """
|
||||
# def check_table_proofs(run, table, tuple_proof_dict, msg):
|
||||
# for tuple in tuple_proof_dict:
|
||||
# tuple_proof_dict[tuple] = \
|
||||
# Database.ProofCollection(tuple_proof_dict[tuple])
|
||||
# self.check_proofs(run, {table : tuple_proof_dict}, msg)
|
||||
|
||||
code = ("q(x) :- p(x,y)")
|
||||
run = self.prep_runtime(code, "**** Proof tests ****")
|
||||
# code = ("q(x) :- p(x,y)")
|
||||
# run = self.prep_runtime(code, "**** Proof tests ****")
|
||||
|
||||
self.insert(run, ['p', 1, 2])
|
||||
check_table_proofs(run, 'q', {(1,): [{u'x': 1, u'y': 2}]},
|
||||
'Simplest proof test')
|
||||
# self.insert(run, ['p', 1, 2])
|
||||
# check_table_proofs(run, 'q', {(1,): [{u'x': 1, u'y': 2}]},
|
||||
# 'Simplest proof test')
|
||||
|
||||
def test_negation(self):
|
||||
""" Test negation """
|
||||
|
@ -378,5 +389,44 @@ class TestRuntime(unittest.TestCase):
|
|||
self.check(run, 'q(1,2) r(2,3) r(2,4) u(3,5) u(4,6) s(1,3) s(1,4)',
|
||||
'Insert into non-unary with different propagation')
|
||||
|
||||
def test_select(self):
|
||||
""" Test the SELECT event handler. """
|
||||
code = ("p(x, y) :- q(x), r(y)")
|
||||
run = self.prep_runtime(code, "Select")
|
||||
self.insert(run, ['q', 1])
|
||||
self.insert(run, ['q', 2])
|
||||
self.insert(run, ['r', 1])
|
||||
self.insert(run, ['r', 2])
|
||||
self.check(run, 'q(1) q(2) r(1) r(2) p(1,1) p(1,2) p(2,1) p(2,2)',
|
||||
'Prepare for select')
|
||||
logging.debug(run.select('p(x,y)'))
|
||||
self.check_equal(run.select('p(x,y)'), 'p(1,1) p(1,2) p(2,1) p(2,2)',
|
||||
'Select: bound no args')
|
||||
self.check_equal(run.select('p(1,y)'), 'p(1,1) p(1,2)',
|
||||
'Select: bound 1st arg')
|
||||
self.check_equal(run.select('p(x,2)'), 'p(1,2) p(2,2)',
|
||||
'Select: bound 2nd arg')
|
||||
self.check_equal(run.select('p(1,2)'), 'p(1,2)',
|
||||
'Select: bound 1st and 2nd arg')
|
||||
|
||||
def test_modify_rules(self):
|
||||
""" Test the functionality for adding and deleting rules *after* data
|
||||
has already been entered. """
|
||||
run = self.prep_runtime("", "Rule modification")
|
||||
run.insert("q(1) r(1) q(2) r(2)")
|
||||
self.showdb(run)
|
||||
self.check(run, 'q(1) r(1) q(2) r(2)', "Installation")
|
||||
run.insert("p(x) :- q(x), r(x)")
|
||||
self.check(run, 'q(1) r(1) q(2) r(2) p(1) p(2)', 'Rule insert after data insert')
|
||||
run.delete("q(1)")
|
||||
self.check(run, 'r(1) q(2) r(2) p(2)', 'Delete after Rule insert with propagation')
|
||||
run.insert("q(1)")
|
||||
run.delete("p(x) :- q(x), r(x)")
|
||||
self.check(run, 'q(1) r(1) q(2) r(2)', "Delete rule")
|
||||
|
||||
def test_explanations(self):
|
||||
""" Test the explanation event handler. """
|
||||
pass
|
||||
|
||||
if __name__ == '__main__':
|
||||
unittest.main()
|
||||
|
|
|
@ -1,24 +0,0 @@
|
|||
|
||||
error(vm) :- virtual_machine(vm), network(vm, net), not public(net), owner(vm, owner), not owned_by_some_group(owner, net)
|
||||
|
||||
owned_by_some_group(owner, object) :- owner(object, user), member(user, group), member(owner, group)
|
||||
|
||||
virtual_machine('vm1')
|
||||
virtual_machine('vm2')
|
||||
network('vm1', 'net_private')
|
||||
network('vm2', 'net_public')
|
||||
|
||||
public('net_public')
|
||||
|
||||
owner('vm1', 'tim')
|
||||
owner('vm2', 'pete')
|
||||
owner('net_private', 'martin')
|
||||
|
||||
member('pete', 'congress')
|
||||
member('tim', 'congress')
|
||||
member('martin', 'congress')
|
||||
member('pierre', 'congress')
|
||||
|
||||
|
||||
|
||||
|
Loading…
Reference in New Issue