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added script to summarize rsync logs from minion
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#!/usr/bin/env python3 | ||
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import collections | ||
import csv | ||
import fileinput | ||
import logging | ||
import pprint | ||
import re | ||
import sys | ||
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import coloredlogs | ||
from dateutil.parser import parse | ||
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_logger = logging.getLogger(__name__) | ||
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# e.g., 2016/08/31 01:24:34 [32383] rsync on seqrepo/ from ec2-....compute.amazonaws.com (52.34.43.195) | ||
# dir = first path element only | ||
rsync_line_re = re.compile(r"(?P<ts>20\S+ \S+) \[\d+\] rsync on (?P<dir>[^/]+)\S* from (?P<host>\S+) \((?P<ip>.+)\)") | ||
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def summarize_connects(connects): | ||
ips = [c["ip"] for c in connects] | ||
ip_counts = collections.Counter(ips) | ||
domain_counts = collections.Counter(domain(c["host"]) for c in connects) | ||
return { | ||
"n_connects": len(connects), | ||
"n_unique_ips": len(ip_counts.keys()), | ||
"n_unique_domains": len(domain_counts.keys()), | ||
#"top_5_ip": [f"{c[0]} ({c[1]})" for c in ip_counts.most_common(5)], | ||
#"top_5_domains": [f"{c[0]} ({c[1]})" for c in domain_counts.most_common(5)], | ||
"domains": [f"{c[0]} ({c[1]})" for c in domain_counts.most_common()], | ||
} | ||
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def domain(host): | ||
return ".".join(host.split(".")[-2:]) | ||
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def read_log(flo): | ||
for l in flo: | ||
if "localhost" in l: | ||
continue | ||
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m = rsync_line_re.match(l) | ||
if not m: | ||
if "rsync on" in l: | ||
_logger.error(f"Missed `{l}`") | ||
continue | ||
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data = m.groupdict() | ||
data["ts"] = parse(data["ts"]) | ||
data["ym"] = data["ts"].strftime("%Y-%m") | ||
data["y"] = data["ts"].strftime("%Y") | ||
data["m"] = data["ts"].strftime("%m") | ||
data["domain"] = domain(data["host"]) | ||
yield data | ||
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if __name__ == "__main__": | ||
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coloredlogs.install(level="INFO") | ||
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fields = "ym y m dir domain ts ip host".split() | ||
o = csv.DictWriter(sys.stdout, fieldnames=fields, delimiter="\t", extrasaction="ignore") | ||
o.writeheader() | ||
for crec in read_log(fileinput.input()): | ||
o.writerow(crec) | ||
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# connects_ym = collections.defaultdict(lambda: list()) | ||
# for crec in read_log(fileinput.input()): | ||
# connects_ym[crec["ym"]].append(crec) | ||
# | ||
# summary_ym = {ym: summarize_connects(connects) for ym, connects in connects_ym.items()} | ||
# | ||
# pprint.pprint(summary_ym) |