Merge branch 'grafolean-fix/performance-improvements'

Bump version to v0.11.2

Closes #38
Closes #39
This commit is contained in:
Dominik Pataky 2022-07-02 11:51:06 +02:00
commit ff24da9743
2 changed files with 44 additions and 18 deletions

View file

@ -14,6 +14,7 @@ Licensed under MIT License. See LICENSE.
import ipaddress
import struct
import sys
from .ipfix import IPFIXFieldTypes, IPFIXDataTypes
@ -21,6 +22,8 @@ __all__ = ["V9DataFlowSet", "V9DataRecord", "V9ExportPacket", "V9Header", "V9Tem
"V9TemplateFlowSet", "V9TemplateNotRecognized", "V9TemplateRecord",
"V9OptionsTemplateFlowSet", "V9OptionsTemplateRecord", "V9OptionsDataRecord"]
V9_FIELD_TYPES_CONTAINING_IP = [8, 12, 15, 18, 27, 28, 62, 63]
V9_FIELD_TYPES = {
0: 'UNKNOWN_FIELD_TYPE', # fallback for unknown field types
@ -204,31 +207,54 @@ class V9DataFlowSet:
# As the field lengths are variable V9 has padding to next 32 Bit
padding_size = 4 - (self.length % 4) # 4 Byte
while offset <= (self.length - padding_size):
new_record = V9DataRecord()
# For performance reasons, we use struct.unpack to get individual values. Here
# we prepare the format string for parsing it. The format string is based on the template fields and their
# lengths. The string can then be re-used for every data record in the data stream
struct_format = '!'
struct_len = 0
for field in template.fields:
# The length of the value byte slice is defined in the template
flen = field.field_length
if flen == 4:
struct_format += 'L'
elif flen == 2:
struct_format += 'H'
elif flen == 1:
struct_format += 'B'
else:
struct_format += '%ds' % flen
struct_len += flen
for field in template.fields:
while offset <= (self.length - padding_size):
# Here we actually unpack the values, the struct format string is used in every data record
# iteration, until the final offset reaches the end of the whole data stream
unpacked_values = struct.unpack(struct_format, data[offset:offset + struct_len])
new_record = V9DataRecord()
for field, value in zip(template.fields, unpacked_values):
flen = field.field_length
fkey = V9_FIELD_TYPES[field.field_type]
# The length of the value byte slice is defined in the template
dataslice = data[offset:offset + flen]
# Better solution than struct.unpack with variable field length
fdata = 0
for idx, byte in enumerate(reversed(bytearray(dataslice))):
fdata += byte << (idx * 8)
# Special handling of IP addresses to convert integers to strings to not lose precision in dump
# TODO: might only be needed for IPv6
if fkey in ["IPV4_SRC_ADDR", "IPV4_DST_ADDR", "IPV6_SRC_ADDR", "IPV6_DST_ADDR"]:
if field.field_type in V9_FIELD_TYPES_CONTAINING_IP:
try:
ip = ipaddress.ip_address(fdata)
ip = ipaddress.ip_address(value)
except ValueError:
print("IP address could not be parsed: {}".format(fdata))
print("IP address could not be parsed: {}".format(repr(value)))
continue
new_record.data[fkey] = ip.compressed
elif flen in (1, 2, 4):
# These values are already converted to numbers by struct.unpack:
new_record.data[fkey] = value
else:
# Caveat: this code assumes little-endian system (like x86)
if sys.byteorder != "little":
print("v9.py uses bit shifting for little endianness. Your processor is not little endian")
fdata = 0
for idx, byte in enumerate(reversed(bytearray(value))):
fdata += byte << (idx * 8)
new_record.data[fkey] = fdata
offset += flen
@ -373,7 +399,7 @@ class V9OptionsDataFlowset:
for scope_type, length in template.scope_fields.items():
type_name = V9_SCOPE_TYPES.get(scope_type, scope_type) # Either name, or unknown int
value = int.from_bytes(data[offset:offset+length], 'big') # TODO: is this always integer?
value = int.from_bytes(data[offset:offset + length], 'big') # TODO: is this always integer?
new_options_record.scopes[type_name] = value
offset += length
@ -392,9 +418,9 @@ class V9OptionsDataFlowset:
value = None
if is_bytes:
value = data[offset:offset+length]
value = data[offset:offset + length]
else:
value = int.from_bytes(data[offset:offset+length], 'big')
value = int.from_bytes(data[offset:offset + length], 'big')
new_options_record.data[type_name] = value

View file

@ -7,7 +7,7 @@ with open("README.md", "r") as fh:
setup(
name='netflow',
version='0.11.1',
version='0.11.2',
description='NetFlow v1, v5, v9 and IPFIX tool suite implemented in Python 3',
long_description=long_description,
long_description_content_type='text/markdown',