Created
November 27, 2017 09:45
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File read and parse in python
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import datetime | |
from collections import defaultdict | |
lines = open("sampledata", 'r').read().split("\n") | |
data = [] | |
for line in lines: | |
try: | |
ip, dt = line.split(" ") | |
except: | |
print(line) | |
attime = datetime.datetime.strptime(dt, "%d/%b/%Y:%H:%M:%S") | |
data.append((ip, attime)) | |
print("Total records", len(data)) | |
per_minute_cluster = defaultdict(list) | |
for d in data: | |
per_minute_cluster[d[1].strftime("%d/%m/%Y:%H:%M")].append(d) | |
print("Per minute cluster:", len(per_minute_cluster)) | |
print(per_minute_cluster.keys()) | |
per_minute_count = [(k, len(v)) for k, v in per_minute_cluster.items()] | |
print("Per minute count:", len(per_minute_count)) | |
per_min_count_avg = sum([i[1] for i in per_minute_count]) / float(len(per_minute_count)) | |
print("Per min average: %s" % per_min_count_avg) | |
offenders = [(i[0], i[1]) for i in per_minute_count if i[1] > per_min_count_avg * 4.2] | |
print("\n".join(["%s %s" % i for i in offenders])) |
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