def log_plans(stream_plan, action_plan, iteration):
# TODO: do this within the focused algorithm itself?
decomposed_plan = decompose_stream_plan(stream_plan)
with open(PLAN_LOG_FILE, 'a+') as f:
f.write('Iteration: {}\n'
'Stream plan: {}\n'
'Synthesizer plan: {}\n'
'Action plan: {}\n\n'.format(iteration, decomposed_plan,
stream_plan,
str_from_plan(action_plan)))
def create_visualizations(evaluations, stream_plan, iteration):
# TODO: place it in the temp_dir?
# TODO: decompose any joint streams
for result in stream_plan:
if isinstance(result, SynthStreamResult):
create_synthesizer_visualizations(result, iteration)
filename = ITERATION_TEMPLATE.format(POST_PROCESS if iteration is None else 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()))
visualize_constraints(constraints, os.path.join(CONSTRAINT_NETWORK_DIR, filename))
visualize_stream_plan_bipartite(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))