def test_or_and_fact_inside_or():
from pyknow import Fact, OR, Rule
from pyknow.matchers.rete.dnf import dnf
input_ = Rule(OR(Fact(a=1), OR(Fact(a=2), Fact(a=3))))
output = Rule(OR(Fact(a=1), Fact(a=2), Fact(a=3)))
assert dnf(input_) == output
def test_or_inside_and():
from pyknow import Fact, Rule, AND, OR
from pyknow.matchers.rete.dnf import dnf
input_ = Rule(AND(Fact(a=1), OR(Fact(a=2), Fact(a=3))))
output = Rule(OR(AND(Fact(a=1), Fact(a=2)), AND(Fact(a=1), Fact(a=3))))
assert dnf(input_[0]) == output[0]
def test_and_inside_rule():
from pyknow import Fact, Rule, AND
from pyknow.matchers.rete.dnf import dnf
input_ = Rule(Fact(a=1), AND(Fact(b=2), Fact(c=3)))
output = Rule(Fact(a=1), Fact(b=2), Fact(c=3))
result = dnf(input_)
assert result == output
def test_double_not_inside_fact():
from pyknow import Fact, OR, Rule, L
from pyknow.matchers.rete.dnf import dnf
input_ = Rule(Fact(a=~~L(1)))
output = Rule(Fact(a=L(1)))
result = dnf(input_)
assert result == output
def test_not_and_inside_fact():
from pyknow import Fact, OR, Rule, L
from pyknow.matchers.rete.dnf import dnf
input_ = Rule(Fact(a=~(L(1) & L(2))))
output = Rule(OR(Fact(a=~L(1)), Fact(a=~L(2))))
result = dnf(input_)
assert result == output
def test_or_inside_or_inside_and():
from pyknow import Fact, OR, AND, Rule
from pyknow.matchers.rete.dnf import dnf
input_ = Rule(AND(Fact(b=1), OR(Fact(a=1), OR(Fact(a=3), Fact(a=4)))))
output = Rule(OR(AND(Fact(b=1), Fact(a=1)),
AND(Fact(b=1), Fact(a=3)),
AND(Fact(b=1), Fact(a=4))))
result = dnf(input_)
assert result == output
def test_and_inside_and_inside_fact():
from pyknow import Fact, OR, Rule, L
from pyknow.fieldconstraint import ANDFC
from pyknow.matchers.rete.dnf import dnf
input_ = Rule(Fact(a=L(1) & (L(2) & L(3))))
output = Rule(Fact(a=ANDFC(L(1), L(2), L(3))))
result = dnf(input_)
assert result == output
def test_or_inside_fact():
from pyknow import Fact, OR, Rule, L
from pyknow.matchers.rete.dnf import dnf
input_ = Rule(Fact(a=L(1) | L(2),
b=3))
output = Rule(OR(Fact(a=L(1), b=3),
Fact(a=L(2), b=3)))
result = dnf(input_)
assert set(result[0]) == set(output[0])
def test_not_or_inside_fact():
from pyknow import Fact, OR, Rule, L
from pyknow.fieldconstraint import ANDFC, NOTFC
from pyknow.matchers.rete.dnf import dnf
input_ = Rule(Fact(a=~(L(1) | L(2))))
output = Rule(Fact(a=ANDFC(NOTFC(L(1)),
NOTFC(L(2)))))
result = dnf(input_)
assert result == output
def test_or_inside_or_inside_fact():
from pyknow import Fact, OR, Rule, L
from pyknow.matchers.rete.dnf import dnf
input_ = Rule(Fact(a=L(1) | (L(2) | L(3))))
output = Rule(OR(Fact(a=L(1)),
Fact(a=L(2)),
Fact(a=L(3))))
result = dnf(input_)
assert result == output
def test_activation_facts_only_iterable():
""" Check if activation facts are required to be a tuple """
from pyknow.activation import Activation
from pyknow import Rule
import pytest
# SHOULD NOT RAISE
Activation(rule=Rule(), facts=tuple())
Activation(rule=Rule(), facts=list())
Activation(rule=Rule(), facts=dict())
with pytest.raises(TypeError):
Activation(rule=Rule(), facts=None)
def test_multiple_or_inside_rule():
from pyknow import Fact, OR, Rule, AND
from pyknow.matchers.rete.dnf import dnf
input_ = Rule(Fact(a=1),
OR(Fact(b=1),
Fact(b=2)),
OR(Fact(c=1),
Fact(c=2)))
output_ = Rule(OR(AND(Fact(a=1), Fact(b=1), Fact(c=1)),
AND(Fact(a=1), Fact(b=1), Fact(c=2)),
AND(Fact(a=1), Fact(b=2), Fact(c=1)),
AND(Fact(a=1), Fact(b=2), Fact(c=2))))
result = dnf(input_)
assert result == output_
def test_prepare_rule__or_starting_with_not():
from pyknow import Rule, InitialFact, NOT, Fact, OR, AND
rule = Rule(OR(NOT(Fact(1)), NOT(Fact(2))))(lambda: None)
assert list(utils.prepare_rule(rule)) == [
OR(AND(InitialFact(), NOT(Fact(1))), AND(InitialFact(), NOT(Fact(2))))
]
def set_sensor_value(context: dict, sensor: str, value: bool = False) -> None:
"""Set a sensor to a specific value."""
assert False
rules = context.rules.copy()
context.rules.clear()
context.final_rules.append(
Rule(AND(*rules))(lambda engine: engine.results.__setitem__(
sensor.replace(' ', '_'), from_state(value))))
def test_Rule_is_iterable():
from pyknow import Rule
from pyknow import Fact
rule_ = iter(Rule(Fact(a=1), Fact(a=2)))
assert next(rule_) == Fact(a=1)
assert next(rule_) == Fact(a=2)
with pytest.raises(StopIteration):
assert next(rule_)
def test_DepthStrategy_update_agenda_asertion_order_affects_agenda_order_3():
"""
From Clips docs on Depth Strategy::
Newly activated rules are placed above all rules of the same salience.
For example, given that facta activates rule1 and rule2 and factb
activates rule3 and rule4, then if facta is asserted before factb, rule3
and rule4 will be above rule1 and rule2 on the agenda. However, the
position of rule1 relative to rule2 and rule3 relative to rule4 will be
arbitrary.
"""
from pyknow.strategies import DepthStrategy
from pyknow.activation import Activation
from pyknow import Rule
from pyknow.agenda import Agenda
from pyknow import Fact
from pyknow.factlist import FactList
fl = FactList()
f1 = Fact(1)
fl.declare(f1)
f2 = Fact(2)
fl.declare(f2)
act1 = Activation(rule=Rule(), facts=(f1, ))
act2 = Activation(rule=Rule(), facts=(f1, ))
act3 = Activation(rule=Rule(), facts=(f2, ))
act4 = Activation(rule=Rule(), facts=(f2, ))
a = Agenda()
st = DepthStrategy()
st.update_agenda(a, [act1, act2, act3, act4], [])
order = list(a.activations)
assert (order.index(act4) > order.index(act1)
and order.index(act4) > order.index(act2))
assert (order.index(act3) > order.index(act1)
and order.index(act3) > order.index(act2))
def test_prepare_rule_is_dnf():
from pyknow import Rule, NOT, AND, OR, Fact
from pyknow.matchers.rete.dnf import dnf
rule = Rule(AND(Fact(0), NOT(OR(Fact(1), Fact(2)))))(lambda: None)
assert list(
utils.prepare_rule(rule)) == [Fact(0),
NOT(Fact(1)),
NOT(Fact(2))]
def test_DepthStrategy_update_agenda_different_salience():
from random import shuffle
from pyknow.strategies import DepthStrategy
from pyknow.activation import Activation
from pyknow import Rule
from pyknow import Fact
from pyknow.agenda import Agenda
from pyknow.factlist import FactList
flist = FactList()
f1 = Fact(1)
flist.declare(f1)
f2 = Fact(2)
flist.declare(f2)
f3 = Fact(3)
flist.declare(f3)
f4 = Fact(4)
flist.declare(f4)
act1 = Activation(rule=Rule(salience=1), facts=(f1, ))
act2 = Activation(rule=Rule(salience=2), facts=(f2, ))
act3 = Activation(rule=Rule(salience=3), facts=(f3, ))
act4 = Activation(rule=Rule(salience=4), facts=(f4, ))
acts = [act1, act2, act3, act4]
shuffle(acts)
st = DepthStrategy()
a = Agenda()
for act in acts:
st.update_agenda(a, acts, [])
order = list(a.activations)
assert (order.index(act4) < order.index(act3) < order.index(act2) <
order.index(act1))
def test_DepthStrategy_update_agenda_assertion_order_affects_agenda_order_1():
from pyknow.strategies import DepthStrategy
from pyknow.activation import Activation
from pyknow import Rule
from pyknow.agenda import Agenda
from pyknow import Fact
from pyknow.factlist import FactList
fl = FactList()
f1 = Fact(1)
fl.declare(f1)
f2 = Fact(2)
fl.declare(f2)
f3 = Fact(3)
fl.declare(f3)
f4 = Fact(4)
fl.declare(f4)
act1 = Activation(rule=Rule(), facts=(f1, ))
act2 = Activation(rule=Rule(), facts=(f2, ))
first = [act1, act2]
act3 = Activation(rule=Rule(), facts=(f3, ))
act4 = Activation(rule=Rule(), facts=(f4, ))
second = [act3, act4]
a = Agenda()
st = DepthStrategy()
oldact = a.activations
st.update_agenda(a, first, [])
assert list(a.activations) == list(reversed(first))
st.update_agenda(a, second, first)
assert list(a.activations) == list(reversed(second))
def test_DepthStrategy_update_agenda_activations_to_agenda():
from pyknow.strategies import DepthStrategy
from pyknow.activation import Activation
from pyknow import Rule
from pyknow.agenda import Agenda
from pyknow import Fact
from pyknow.factlist import FactList
fl = FactList()
f1 = Fact(1)
fl.declare(f1)
f2 = Fact(2)
fl.declare(f2)
act1 = Activation(rule=Rule(), facts=(f1, ))
act2 = Activation(rule=Rule(), facts=(f2, ))
a = Agenda()
st = DepthStrategy()
st.update_agenda(a, [act1, act2], [])
assert act1 in a.activations
assert act2 in a.activations
def build(cls, setname, spec):
"""
Rule struct example
{'rulename1': {'lhs': [Vector(_type="ip", ip=MATCH.pollas)))],
'command': "run_nmap.py"}}
"""
def _create_rhs(command):
def _rhs(self, **context):
idxs = sorted([int(k.split('_')[2])
for k in context.keys()
if k.startswith('_elem_')],
reverse=True)
lineages = list()
for idx in idxs:
lineages.extend(context[f'_lineage_{idx}'])
elem = context[f'_elem_{idx}'].as_dict()
del elem['_lineage']
lineages.append(elem)
stdin = {k: v
for k, v in context.items()
if not k.startswith("_")}
self.declare(TaskRequest(command=command,
stdin=stdin,
lineages=lineages))
return _rhs
rules = {}
for rulename, body in spec.items():
comps = list()
for idx, comp in enumerate(body['lhs']):
comp["_lineage"] = W(f"_lineage_{idx}")
f"_elem_{idx}" << comp
comps.append(comp)
lhs = Rule(*comps,
TEST(_shared_lineage))
rhs = _create_rhs(body['command'])
rhs.__name__ = f"{setname}__{rulename}"
rules[rulename] = lhs(rhs)
return type(setname, (cls,), rules)
def test_pyknowdecoder(fakeexecutor):
import operator
from pyknow_rt import JsonEngine
from pyknow_rt.utils import FactTypes
from pyknow import Rule, TEST, MATCH
executor = fakeexecutor()
extra = {
'Rule': [{
'Number': {
'a': {
'MATCH': 'a'
}
}
}, {
'Number': {
'b': {
'MATCH': 'b'
}
}
}, {
'TEST': ['gt']
}, {
'Number': {
'c': {
'MATCH': 'c'
}
}
}, {
'TEST': ['gt']
}]
}
engine = type("engine", (JsonEngine, ), {"executor": executor})()
res = engine.lhs_from_json(extra)
Number = FactTypes.get('Number')
expected = Rule(Number(a=MATCH.a), Number(b=MATCH.b), TEST(operator.gt),
Number(c=MATCH.c), TEST(operator.gt))
assert res == expected
def test_prepare_rule__and_inside_rule():
from pyknow import Rule, AND, Fact
rule = Rule(AND(Fact(1), Fact(2)))(lambda: None)
assert list(utils.prepare_rule(rule)) == [Fact(1), Fact(2)]
def test_prepare_rule_empty():
from pyknow import Rule, InitialFact
rule = Rule()(lambda: None)
assert list(utils.prepare_rule(rule)) == [InitialFact()]
def test_activation_has_facts():
""" Check if activation has facts property """
from pyknow.activation import Activation
from pyknow import Rule
assert hasattr(Activation(rule=Rule(), facts=[]), 'facts')
def test_prepare_rule__rule_starting_with_not():
from pyknow import Rule, InitialFact, NOT, Fact
rule = Rule(NOT(Fact(1)))(lambda: None)
assert list(utils.prepare_rule(rule)) == [InitialFact(), NOT(Fact(1))]
def test_Rule_decorator_raise_AttributeError_if_called_without_function():
from pyknow import Rule
with pytest.raises(AttributeError):
Rule()()
def test_extract_facts():
from pyknow import Rule, NOT, AND, OR, Fact
rule = Rule(OR(AND(Fact(1), NOT(Fact(2))), Fact(3)))
assert utils.extract_facts(rule) == {Fact(1), Fact(2), Fact(3)}
