for trace_id in exp_count_multi[key]:
if (check_trace_ok(db_obj, trace_id)):
good.append(trace_id)
else:
bad.append(trace_id)
if good > 1 and not do_deep:
all_suspicious_pairs += check_all_good(db_obj, good, 200)
all_good += good
all_bad += bad
print("""Final result:""")
print("""Good traces({1}): {0}""".format(" ".join([str(x) for x in all_good]),
len(all_good)))
print("""Bad traces({1}): {0}""".format(" ".join([str(x) for x in all_bad]),
len(all_bad)))
print("""Suspicios pairs({1}): {0}""".format(
" ".join([str(x) for x in all_suspicious_pairs]),
len(all_suspicious_pairs)))
theval = raw_input(
"Press Enter to continue and reset those experiments that are not ok: "
"{0}".format(" ".join([str(x) for x in all_bad])))
for bad_trace_id in all_bad:
print("Cleaning experiment trace and results: {0}".format(bad_trace_id))
ed = ExperimentDefinition()
ed.load(db_obj, bad_trace_id)
ed.del_trace(db_obj)
ed.del_results(db_obj)
ed.upate_state(db_obj, "fresh")
print("Reseting experiments in state {0}".format(state))
there_are_more = True
while (there_are_more):
ed = ExperimentDefinition()
if trace_id is not None:
ed.load(central_db_obj, trace_id)
if ed._work_state!=state:
print("Error, unexpected state {0} for trace {1}".format(
ed._work_state,
trace_id))
exit()
ed.upate_state(central_db_obj, new_state)
there_are_more=False
else:
there_are_more=ed.load_next_state(central_db_obj, state, new_state)
if ed._trace_id!=None:
print("Reset experiment({0}: {1}): {2} -> {3}".format(ed._trace_id,
ed._name,
state,
new_state))
if new_state == "fresh":
ed.del_trace(central_db_obj)
ed.update_worker(central_db_obj,"")
ed.reset_simulating_time(central_db_obj)
if new_state in ["fresh", "simulation_complete", "simulation_done",
"pending"]:
print("A resetear")
ed.del_results(central_db_obj)
if new_state in ["analysis_done"]:
ed.del_results_like(central_db_obj)
