"fileexit" <[EMAIL PROTECTED]> wrote in message news:[EMAIL PROTECTED] > Hi, > Would someone please tell me what is going on here??!! Why does the > following code work > > >>> a=r"Mem" > >>> pat = re.compile(a) > >>> m=pat.search(ProcMem, re.DOTALL) > >>> m > <_sre.SRE_Match object at 0xb7f7eaa0> > >>> m.group(0) > 'Mem' > > > ProcMem contains: > > >>> print ProcMem > MemTotal: 8247952 kB > MemFree: 5980920 kB > Buffers: 417044 kB > Cached: 703036 kB > SwapCached: 0 kB > Active: 1440136 kB > Inactive: 370668 kB > HighTotal: 7405512 kB > HighFree: 5977600 kB > LowTotal: 842440 kB > LowFree: 3320 kB > SwapTotal: 8339440 kB > SwapFree: 8339296 kB > Dirty: 96 kB > Writeback: 0 kB > Mapped: 786672 kB > Slab: 359208 kB > Committed_AS: 2453912 kB > PageTables: 24696 kB > VmallocTotal: 106488 kB > VmallocUsed: 8700 kB > VmallocChunk: 96708 kB > HugePages_Total: 0 > HugePages_Free: 0 > Hugepagesize: 2048 kB >
Are you going to create re's for every line of that data? Here's a pyparsing version that generates the grammar for you (or you can modify this example to generate re's if you prefer). This is an unusual form for pyparsing. Typically, people construct an And in their grammar by connecting expressions together with '+' operators (as in the procMemEntry method of the example). But here, we are generating the list of entries, and then directly creating the And with the resulting list of expressions. Download pyparsing at http://pyparsing.sourceforge.net. -- Paul procMemData = """ MemTotal: 8247952 kB MemFree: 5980920 kB Buffers: 417044 kB Cached: 703036 kB SwapCached: 0 kB Active: 1440136 kB Inactive: 370668 kB HighTotal: 7405512 kB HighFree: 5977600 kB LowTotal: 842440 kB LowFree: 3320 kB SwapTotal: 8339440 kB SwapFree: 8339296 kB Dirty: 96 kB Writeback: 0 kB Mapped: 786672 kB Slab: 359208 kB Committed_AS: 2453912 kB PageTables: 24696 kB VmallocTotal: 106488 kB VmallocUsed: 8700 kB VmallocChunk: 96708 kB HugePages_Total: 0 HugePages_Free: 0 Hugepagesize: 2048 kB """ from pyparsing import Word,nums,Literal,Suppress,Group,And,Dict # define an integer, and an integer kB value integer = Word(nums).setParseAction(lambda s,l,t:int(t[0])) numKb = integer + Suppress("kB") # convenience method for extracting procMem entries def procMemEntry(name, valExpr): return Group(Literal(name) + Suppress(":") + valExpr).setName(name) # extract names from sample procMem data, and create list of matching value expressions names = [l.split(':')[0] for l in procMemData.split('\n') if l] exprs = [n.startswith("HugePages_") and integer or numKb for n in names] # generate grammar using names and exprs lists procMemGrammar = Dict(And([ procMemEntry(nam,expr) for nam,expr in zip(names,exprs) ])) # check grammar by parsing input string pmData = procMemGrammar.parseString(procMemData) # access pmData as a dict for k in pmData.keys(): print k,pmData[k] # or create a standard Python dict from pmData print dict(pmData) -- http://mail.python.org/mailman/listinfo/python-list
