def test_evaluation_propagated_upstream():
visited = []
def func(txt):
visited.append(txt)
return txt
pg = PortGraph()
n = FuncNode(func)
pg.add_actor(n, 0)
pg.add_actor(n, 1)
pg.connect(pg.out_port(0, 'txt'), pg.in_port(1, 'txt'))
algo = BruteEvaluation(pg)
ws = WorkflowState(pg)
env = EvaluationEnvironment()
ws.store_param(pg.in_port(0, 'txt'), "txt", 0)
algo.eval(env, ws, 0)
assert len(visited) == 1
algo.eval(env, ws, 1)
assert len(visited) == 2
env.new_execution()
algo.eval(env, ws, 1)
assert len(visited) == 4
def test_env_clear_free_ids():
env = EvaluationEnvironment()
eid0 = env.current_execution()
env.new_execution()
env.clear()
assert env.current_execution() == eid0
def test_evaluation_do_not_reevaluate_same_node():
visited = []
def func():
visited.append("yes")
pg = PortGraph()
n = FuncNode(func)
pg.add_actor(n, 0)
pg.add_actor(n, 1)
env = EvaluationEnvironment()
algo = BruteEvaluation(pg)
ws = WorkflowState(pg)
algo.eval(env, ws, 0)
assert len(visited) == 1
algo.eval(env, ws, 1)
assert len(visited) == 2
algo.eval(env, ws, 0)
assert len(visited) == 2
env.new_execution()
algo.eval(env, ws, 0)
assert len(visited) == 3
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_env_new_execution():
env = EvaluationEnvironment()
eid0 = env.current_execution()
env.new_execution()
assert env.current_execution() != eid0
