I am trying to parse a string as below using PyParsing.
R1# show ip bgp BGP table version is 2, local router ID is 1.1.1.1 Status codes: s suppressed, d damped, h history, * valid, > best, i - internal, r RIB-failure, S Stale Origin codes: i - IGP, e - EGP, ? - incomplete Network Next Hop Metric LocPrf Weight Path > 10.1.1.0/24 192.168.1.2 0 0 200 i
Note that LocPrf value is empty but it can be a number.
ipField = Word(nums, max=3)
ipAddr = Combine(ipField + "." + ipField + "." + ipField + "." + ipField)
status_code = Combine(Optional(oneOf("s d h * r")) + ">" + Optional(Literal("i"))
prefix = Combine(ipAddr + Optional(Literal("/") + Word(nums,max=2)))
next_hop = ipAddr
med = Word(nums)
local_pref = Word(nums) | White()
path = Group(OneOrMore(Word(nums)))
origin = oneOf("i e ?")
This is the grammar.
g = status_code + prefix + next_hop + med + local_pref + Suppress(Word(nums)) + Optional(path) + origin
I just need to parse the Bold line. But this is not parsing it properly. It assigns Weight value to LocPrf.
Please look over the following code example (which I will include in the next pyparsing release). You should be able to adapt it to your application:
from pyparsing import col,Word,Optional,alphas,nums,ParseException
table = """\
12345678901234567890
COLOR S M L
RED 10 2 2
BLUE 5 10
GREEN 3 5
PURPLE 8"""
# function to create column-specific parse actions
def mustMatchCols(startloc,endloc):
def pa(s,l,t):
if not startloc <= col(l,s) <= endloc:
raise ParseException(s,l,"text not in expected columns")
return pa
# helper to define values in a space-delimited table
def tableValue(expr, colstart, colend):
return Optional(expr.copy().addParseAction(mustMatchCols(colstart,colend)))
# define the grammar for this simple table
colorname = Word(alphas)
integer = Word(nums).setParseAction(lambda t: int(t[0])).setName("integer")
row = (colorname("name") +
tableValue(integer, 11, 12)("S") +
tableValue(integer, 15, 16)("M") +
tableValue(integer, 19, 20)("L"))
# parse the sample text - skip over the header and counter lines
for line in table.splitlines()[2:]:
print
print line
print row.parseString(line).dump()