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"""dsc_datatool.input.dat
Input plugin to generate `Dataset`'s from DSC DAT files.
Part of dsc_datatool.
:copyright: 2024 OARC, Inc.
"""
import re
from dsc_datatool import Input, Dataset, Dimension, process_dataset, encoding
_dataset1d = [
'client_subnet_count',
'ipv6_rsn_abusers_count',
]
_dataset2d = {
'qtype': 'Qtype',
'rcode': 'Rcode',
'do_bit': 'D0',
'rd_bit': 'RD',
'opcode': 'Opcode',
'dnssec_qtype': 'Qtype',
'edns_version': 'EDNSVersion',
'client_subnet2_count': 'Class',
'client_subnet2_trace': 'Class',
'edns_bufsiz': 'EDNSBufSiz',
'idn_qname': 'IDNQname',
'client_port_range': 'PortRange',
'priming_responses': 'ReplyLen',
}
_dataset3d = {
'chaos_types_and_names': [ 'Qtype', 'Qname' ],
'certain_qnames_vs_qtype': [ 'CertainQnames', 'Qtype' ],
'direction_vs_ipproto': [ 'Direction', 'IPProto' ],
'pcap_stats': [ 'pcap_stat', 'ifname' ],
'transport_vs_qtype': [ 'Transport', 'Qtype' ],
'dns_ip_version': [ 'IPVersion', 'Qtype' ],
'priming_queries': [ 'Transport', 'EDNSBufSiz' ],
'qr_aa_bits': [ 'Direction', 'QRAABits' ],
}
class DAT(Input):
def process(self, dir):
global _dataset1d, _dataset2d, _dataset3d
datasets = []
for d in _dataset1d:
if process_dataset and not d in process_dataset:
continue
try:
datasets += self.process1d('%s/%s.dat' % (dir, d), d)
except FileNotFoundError:
pass
for k, v in _dataset2d.items():
if process_dataset and not k in process_dataset:
continue
try:
datasets += self.process2d('%s/%s.dat' % (dir, k), k, v)
except FileNotFoundError:
pass
for k, v in _dataset3d.items():
if process_dataset and not k in process_dataset:
continue
try:
datasets += self.process3d('%s/%s.dat' % (dir, k), k, v[0], v[1])
except FileNotFoundError:
pass
return datasets
def process1d(self, file, name):
datasets = []
with open(file, 'r', encoding=encoding) as f:
for l in f.readlines():
if re.match(r'^#', l):
continue
l = re.sub(r'[\r\n]+$', '', l)
dat = re.split(r'\s+', l)
if len(dat) != 2:
raise Exception('DAT %r dataset %r: invalid number of elements for a 1d dataset' % (file, name))
dataset = Dataset()
dataset.name = name
dataset.start_time = int(dat.pop(0))
dataset.stop_time = dataset.start_time + 60
d1 = Dimension('All')
d1.values = { 'ALL': int(dat[0]) }
dataset.dimensions.append(d1)
datasets.append(dataset)
return datasets
def process2d(self, file, name, field):
datasets = []
with open(file, 'r', encoding=encoding) as f:
for l in f.readlines():
if re.match(r'^#', l):
continue
l = re.sub(r'[\r\n]+$', '', l)
dat = re.split(r'\s+', l)
dataset = Dataset()
dataset.name = name
dataset.start_time = int(dat.pop(0))
dataset.stop_time = dataset.start_time + 60
d1 = Dimension('All')
d1.value = 'ALL'
dataset.dimensions.append(d1)
d2 = Dimension(field)
while dat:
if len(dat) < 2:
raise Exception('DAT %r dataset %r: invalid number of elements for a 2d dataset' % (file, name))
k = dat.pop(0)
v = dat.pop(0)
d2.values[k] = int(v)
d1.dimensions.append(d2)
datasets.append(dataset)
return datasets
def process3d(self, file, name, first, second):
datasets = []
with open(file, 'r', encoding=encoding) as f:
for l in f.readlines():
if re.match(r'^#', l):
continue
l = re.sub(r'[\r\n]+$', '', l)
dat = re.split(r'\s+', l)
dataset = Dataset()
dataset.name = name
dataset.start_time = int(dat.pop(0))
dataset.stop_time = dataset.start_time + 60
while dat:
if len(dat) < 2:
raise Exception('DAT %r dataset %r: invalid number of elements for a 2d dataset' % (file, name))
k = dat.pop(0)
v = dat.pop(0)
d1 = Dimension(first)
d1.value = k
dataset.dimensions.append(d1)
d2 = Dimension(second)
dat2 = v.split(':')
while dat2:
if len(dat2) < 2:
raise Exception('DAT %r dataset %r: invalid number of elements for a 2d dataset' % (file, name))
k2 = dat2.pop(0)
v2 = dat2.pop(0)
d2.values[k2] = int(v2)
d1.dimensions.append(d2)
datasets.append(dataset)
return datasets
import sys
if sys.version_info[0] == 3 and sys.version_info[1] == 5: # pragma: no cover
Input.__init_subclass__(DAT)
|
