pywarts
is a pure-python parsing library for the Warts format.
Warts is an extensible binary format produced by
Scamper, an
Internet measurement tool from CAIDA, to store measurement results
such as traceroutes and pings.
This library started off from the Python implementation from CMAND, by Robert Beverly, but has now vastly diverged. The parsing architecture is loosely inspired from the Ryu packet parser, although it is less complex because the requirements are less stringent.
For Python 3 (recommended):
pip3 install scamper-pywarts
If you simply use pip
, make sure it installs for the expected version of Python on
your system:
pip install scamper-pywarts
- pure-Python, no dependency, works with both python2 and python3
- can read basic Warts data types as well as traceroute data
- easily extensible for other Warts data types (patches are welcome)
- nice class-based interface
- reasonably good performance (a few minutes to parse a 80 MiB warts file with traceroute data)
- streaming-like interface: no more than one record is pulled in memory at any given time, so it should handle very large Warts file with a limited amount of memory. You can probably even consume data directly from the output of a running Scamper process.
For now, the only public API is very low-level: it simply reads from a stream (for instance a file) and returns Warts records as Python objects.
To read records, call warts.parse_record
repeatedly until it returns
None
. Remember to open your input Warts files in binary mode!
The returned value of warts.parse_record
is an instance of an
appropriate subclass (e.g. Traceroute
), depending on the record type.
Be aware that all optional attributes are set to None if not present in
the input file. You should always check for this possibility in your user
code.
Here is an example that opens a file, and repeatedly parses records until it finds a Traceroute record (warts files usually have a few initial records with mostly uninteresting data). It will print information about this first Traceroute record and then stop.
import warts
from warts.traceroute import Traceroute
with open('my_file.warts', 'rb') as f:
record = warts.parse_record(f)
while not isinstance(record, Traceroute):
record = warts.parse_record(f)
if record.src_address:
print("Traceroute source address:", record.src_address)
if record.dst_address:
print("Traceroute destination address:", record.dst_address)
print("Number of hops:", len(record.hops))
print(record.hops)
parse_from_stdin.py is a very simple program that takes a warts file as its standard input and prints all records it found.
It also demonstrates logging: if you run this program in verbose mode with -v
,
the library will print lots of debug information about the parsing process.
To know which attributes are available, look at the definition of the
relevant class (there will be real documentation at some point). For
instance, for Traceroute
, almost all attributes are optional and defined
here:
traceroute.py.
Some attributes are not optional and are defined in the parse()
method
of the class. For instance, a traceroute object t
always provides a
list of TracerouteHop
objects in t.hops
.
If parsing fails, an instance of errors.ParseError
is thrown.
pywarts
generally tries to clean up after itself, so the file
descriptor should point to the next record even after a parsing error.
Of course, this is not always possible, especially if the input file
is incorrectly formatted.
Here is some points on which pywarts
improves from the code from
https://github.com/cmand/scamper:
- fully python3-compatible
- nicer class-based interface, instead of huge dicts with all flags
- much easier to extend thanks to its class-based structure
- properly handles unknown flags and options, by ignoring them
- attribute names have been generally made more readable (although that often means longer names)
- possibly quite a bit faster (it would need proper benchmarks), because
of the way we parse flags and strings. Also, we read a whole record
into memory before parsing it, which is a bit faster than calling
read()
repeatedly on very small amount of data.
However, there are some areas where pywarts
is less featureful than
the CMAND code:
pywarts
doesn't yet implement the Ping record type, see #5pywarts
currently only supports parsing Warts files, it cannot write Warts files.pywarts
does not implement the deprecated address format (it is quite complex and has been deprecated for several years)- there are some nice scripts in https://github.com/cmand/scamper, for instance a script to attach to and control a running Scamper process
Some currently unanswered questions:
- What should the high-level API look like, and is there even a need for a higher-level API? Just an iterator of records? Allow to filter by record type? Try to parse further, for instance decode flags or produce different objects for UDP, TCP and ICMP traceroutes?
- Should we try to normalise values when parsing? For instance,
should we use
ipaddr
objects for addresses? Some times are expressed in centiseconds, some in microseconds, some in seconds. Should we normalize that to a common base? Are floats acceptable for time values? - What should we do when there is a parsing error? How can the user continue parsing the next record if he/she wants to?
Please open issues if you have ideas and thoughts on these questions.