def perform_test2(graphs_dir1, graphs_dir2, number_from, result_file,
slots_count):
while number_from < slots_count:
for slot_file in os.listdir(graphs_dir1):
if slot_file.endswith(".json") and slot_file.startswith(
"salon24_" + str(number_from) + "_"):
logging.info(graphs_dir1 + slot_file)
split = slot_file.split('.')
split = split[0].split('_')
idx = split[1]
date_from = split[2]
date_to = split[3]
G = load(graphs_dir1 + slot_file)
previous = MatchStructure(G, idx, None, date_from, date_to)
number_from += 1
for slot_file1 in os.listdir(graphs_dir2):
if slot_file1.endswith(".json") and slot_file1.startswith(
"salon24_" + str(number_from) + "_"):
logging.info(graphs_dir2 + slot_file1)
split1 = slot_file1.split('.')
split1 = split1[0].split('_')
idx1 = split1[1]
date_from1 = split1[2]
date_to1 = split1[3]
G1 = load(graphs_dir2 + slot_file1)
current = MatchStructure(G1, idx1, None, date_from1,
date_to1)
match_slots(previous, current, result_file)
def create_ranking_graphs(graphs_dir, results_dir, slots_count,
number_of_vertices, measure):
last_end_date = None
graphs_per_month = []
i = 1
j = 1
while i < slots_count:
for slot_file in os.listdir(graphs_dir):
if slot_file.endswith(".json") and slot_file.startswith(
"salon24_" + str(i) + "_"):
split = slot_file.split('.')
split = split[0].split('_')
if last_end_date is None:
last_end_date = split[3]
month_curr = datetime.datetime.strptime(split[3],
DATE_FORMAT).month
month_last = datetime.datetime.strptime(
last_end_date, DATE_FORMAT).month
logging.info(graphs_dir + slot_file)
G = load(graphs_dir + slot_file)
if month_curr != month_last:
get_rankings_graph(results_dir, j, graphs_per_month,
last_end_date, number_of_vertices)
j += 1
graphs_per_month = [G]
else:
graphs_per_month.append(G)
last_end_date = split[3]
i += 1
def perform_test(graphs_dir, number_from, result_file, slots_count):
previous = None
while number_from <= slots_count:
for slot_file in os.listdir(graphs_dir):
if slot_file.endswith(".json") and slot_file.startswith("salon24_" + str(number_from) + "_"):
logging.info(graphs_dir + slot_file)
split = slot_file.split('.')
split = split[0].split('_')
idx = split[1]
month = split[2]
G = load(graphs_dir + slot_file)
current = MatchStructure(G, idx, month)
if previous is not None:
match_slots(previous, current, result_file)
number_from += 1
previous = current
def create_ranking_graphs_weeks(graphs_dir, result_dir, slots_count,
number_of_vertices, measure):
i = 1
previous = None
while i < slots_count:
for slot_file in os.listdir(graphs_dir):
if slot_file.endswith(".json") and slot_file.startswith(
"salon24_" + str(i) + "_"):
split = slot_file.split('.')
split = split[0].split('_')
idx = split[1]
date_from = split[2]
date_to = split[3]
logging.info(graphs_dir + slot_file)
G = load(graphs_dir + slot_file)
get_ranking_graphs_weeks(result_dir, idx, G, previous,
date_from, date_to,
number_of_vertices, measure)
i += 1
previous = G