def test_ws_is_ready_for_evaluation():
pg = PortGraph()
pg.add_vertex(0)
pg.add_in_port(0, "in", 0)
pg.add_out_port(0, "out", 1)
pg.add_vertex(1)
pg.add_out_port(1, "out", 2)
pg.add_vertex(2)
pg.add_in_port(2, "in", 3)
pg.add_out_port(2, "out", 4)
pg.connect(1, 3)
pg.connect(2, 3)
ws = WorkflowState(pg)
assert not ws.is_ready_for_evaluation()
ws.store(1, "data")
assert not ws.is_ready_for_evaluation()
ws.store_param(0, "param", 0)
assert ws.is_ready_for_evaluation()
def test_lazy_do_not_reevaluate_node_if_same_execution():
evaluated = []
def func(txt):
evaluated.append(txt)
return txt
pg = PortGraph()
vid = pg.add_actor(FuncNode(func))
assert pg.actor(vid).is_lazy()
algo = LazyEvaluation(pg)
env = EvaluationEnvironment()
ws = WorkflowState(pg)
ws.store_param(pg.in_port(vid, 'txt'), 'toto', env.current_execution())
algo.eval(env, ws)
assert len(evaluated) == 1
algo.eval_node(env, ws, vid)
assert len(evaluated) == 1
def test_lazy_always_reevaluate_non_lazy_nodes():
evaluated = []
def func(txt):
evaluated.append(txt)
return txt
pg = PortGraph()
vid = pg.add_actor(FuncNode(func))
pg.actor(vid).set_lazy(False)
algo = LazyEvaluation(pg)
env = EvaluationEnvironment()
ws = WorkflowState(pg)
ws.store_param(pg.in_port(vid, 'txt'), 'toto', env.current_execution())
algo.eval(env, ws)
assert len(evaluated) == 1
env.new_execution()
algo.eval(env, ws)
assert len(evaluated) == 2
def test_evaluation_affect_output_to_right_ports():
def func(a, b):
c = a + b
d = a * 2
return c, d
# simple order
pg = PortGraph()
n = FuncNode(func)
pg.add_vertex(0)
pg.add_in_port(0, 'a', 0)
pg.add_in_port(0, 'b', 1)
pg.add_out_port(0, 'c', 2)
pg.add_out_port(0, 'd', 3)
pg.set_actor(0, n)
algo = BruteEvaluation(pg)
env = EvaluationEnvironment()
ws = WorkflowState(pg)
ws.store_param(0, 'a', 0)
ws.store_param(1, 'b', 0)
algo.eval(env, ws)
assert ws.get(2) == 'ab'
assert ws.get(3) == 'aa'
# reverse input orders
pg = PortGraph()
n = FuncNode(func)
pg.add_vertex(0)
pg.add_in_port(0, 'b', 0)
pg.add_in_port(0, 'a', 1)
pg.add_out_port(0, 'c', 2)
pg.add_out_port(0, 'd', 3)
pg.set_actor(0, n)
algo = BruteEvaluation(pg)
env = EvaluationEnvironment()
ws = WorkflowState(pg)
ws.store_param(0, 'a', 0)
ws.store_param(1, 'b', 0)
algo.eval(env, ws)
assert ws.get(2) == 'ba'
assert ws.get(3) == 'bb'
# reverse output order
pg = PortGraph()
n = FuncNode(func)
pg.add_vertex(0)
pg.add_in_port(0, 'a', 0)
pg.add_in_port(0, 'b', 1)
pg.add_out_port(0, 'd', 2)
pg.add_out_port(0, 'c', 3)
pg.set_actor(0, n)
algo = BruteEvaluation(pg)
env = EvaluationEnvironment()
ws = WorkflowState(pg)
ws.store_param(0, 'a', 0)
ws.store_param(1, 'b', 0)
algo.eval(env, ws)
assert ws.get(3) == 'ab'
assert ws.get(2) == 'aa'
