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dycause_runtime.py
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import numpy as np
import sys
import time
import pickle
from openpyxl import load_workbook
from main_granger_extend import test_granger_extend
import concurrent.futures
from concurrent.futures import as_completed
from tqdm import tqdm
# pymicro test suite
# dataset_name = 'pymicro'
# entry_point_list = [16]
# true_root_cause = [1]
# ibm_micro_service test suite
dataset_name = 'ibm_micro_service'
entry_point_list = [14]
true_root_cause = [6, 28, 30, 31]
params_list = []
for aggre_delta in range(1, 2):
for before_length in np.arange(0, 300, 20):
for after_length in [0]:
for step in [50, 60, 70][0:1]:
for sig_value in [0.1]:
for lag in [5, 10, 15][0:1]:
for thres in [0.5]:
for max_path_length in [None]:
for mean_method in ['arithmetic', 'geometric', 'harmonic'][2:3]:
for topk_path in [150]:
for num_sel_node in [3]:
if before_length != 0 or after_length != 0:
for runtime_debug_i in range(5):
params_list.append({
'ela': aggre_delta,
'bef': before_length,
'aft': after_length,
'step': step,
'sig_value': sig_value,
'lag': lag,
'thres': thres,
'max_path_length': max_path_length,
'mean_method': mean_method,
'topk_path': topk_path,
'num_sel_node': num_sel_node,
'runtime_debug_ind': runtime_debug_i
})
for aggre_delta in range(1, 2):
for before_length in [0]:
for after_length in np.arange(0, 300, 20):
for step in [50, 60, 70][0:1]:
for sig_value in [0.1]:
for lag in [5, 10, 15][0:1]:
for thres in [0.5]:
for max_path_length in [None]:
for mean_method in ['arithmetic', 'geometric', 'harmonic'][2:3]:
for topk_path in [150]:
for num_sel_node in [3]:
if before_length != 0 or after_length != 0:
for runtime_debug_i in range(5):
params_list.append({
'ela': aggre_delta,
'bef': before_length,
'aft': after_length,
'step': step,
'sig_value': sig_value,
'lag': lag,
'thres': thres,
'max_path_length': max_path_length,
'mean_method': mean_method,
'topk_path': topk_path,
'num_sel_node': num_sel_node
})
def worker_process(ind, params_dict):
tic = time.time()
prks, acc = test_granger_extend(
# Data params
data_source=dataset_name,
aggre_delta=params_dict['ela'],
start_time=4653,
before_length=params_dict['bef'],
after_length=params_dict['aft'],
# Granger interval based graph construction params
step=params_dict['step'],
significant_thres=params_dict['sig_value'],
lag=params_dict['lag'],
auto_threshold_ratio = params_dict['thres'],
runtime_debug=True,
# Root cause analysis params
max_path_length=params_dict['max_path_length'],
mean_method=params_dict['mean_method'],
topk_path = params_dict['topk_path'],
num_sel_node = params_dict['num_sel_node'],
testrun_round=1,
frontend=entry_point_list[0],
true_root_cause=true_root_cause,
# Debug params
plot_figures=False,
verbose=False,
disable_print=True
)
toc = time.time() - tic
return prks, acc, ind, toc
def main():
# print("\n{:!^80}\n".format(" Pymicro Test Suite "))
print("\n{:!^80}\n".format(" IBM Micro Service Test Suite "))
print('Number of parameter sets: {}'.format(len(params_list)))
processbar = tqdm(total=len(params_list), ascii=True)
futures = []
executor = concurrent.futures.ProcessPoolExecutor(max_workers=1)
for i, params_dict in enumerate(params_list[0:1]):
futures.append(executor.submit(worker_process, i, params_dict))
failed_task = 0
result_list = []
for future in as_completed(futures):
processbar.update(1)
try:
prks, acc, ind, runtime = future.result()
result_list.append(params_list[ind])
result_list[-1]['prks'] = prks
result_list[-1]['acc'] = acc
result_list[-1]['runtime'] = runtime
except Exception as e:
failed_task += 1
print('Exception:{}, 1 task failed! Total failed: {}'
.format(e, failed_task))
executor.shutdown()
if len(result_list) > 0:
with open('granger_extend_runtime_ibm_708.pkl', 'wb') as f:
pickle.dump(result_list, f)
if __name__ == '__main__':
main()