def create_visualizations(evaluations, stream_plan, iteration):
# TODO: place it in the temp_dir?
# TODO: decompose any joint streams
for result in stream_plan:
create_synthesizer_visualizations(result, iteration)
filename = ITERATION_TEMPLATE.format(iteration)
# visualize_stream_plan(stream_plan, path)
constraints = set() # TODO: approximates needed facts using produced ones
for stream in stream_plan:
constraints.update(
filter(lambda f: evaluation_from_fact(f) not in evaluations,
stream.get_certified()))
print('Constraints:', str_from_object(constraints))
visualize_constraints(constraints,
os.path.join(CONSTRAINT_NETWORK_DIR, filename))
from pddlstream.retired.synthesizer import decompose_stream_plan
decomposed_plan = decompose_stream_plan(stream_plan)
if len(decomposed_plan) != len(stream_plan):
visualize_stream_plan(decompose_stream_plan(stream_plan),
os.path.join(STREAM_PLAN_DIR, filename))
#visualize_stream_plan_bipartite(stream_plan, os.path.join(STREAM_PLAN_DIR, 'fused_' + filename))
visualize_stream_plan(stream_plan,
os.path.join(STREAM_PLAN_DIR, 'fused_' + filename))
def log_plans(stream_plan, action_plan, iteration):
# TODO: do this within the focused algorithm itself?
from pddlstream.retired.synthesizer import decompose_stream_plan
decomposed_plan = decompose_stream_plan(stream_plan)
with open(PLAN_LOG_FILE, 'a+') as f:
f.write('Iteration: {}\n'
'Component plan: {}\n'
'Stream plan: {}\n'
'Action plan: {}\n\n'.format(iteration, decomposed_plan,
stream_plan,
str_from_plan(action_plan)))