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Pandoc: Markdown to Tex -- with using filter show error "failed to parse field blocks"

I try adapt this pandoc filter but I need use Span instead Div.
input file (myfile.md):
### MY HEADER
[File > Open]{.menu}
[\ctrl + C]{.keys}
Simply line
filter file (myfilter.py):
#!/usr/bin/env python
from pandocfilters import *
def latex(x):
return RawBlock('latex', x)
def latex_menukeys(key, value, format, meta):
if key == 'Span':
[[ident, classes, kvs], contents] = value
if classes[0] == "menu":
return([latex('\\menu{')] + contents + [latex('}')])
elif classes[0] == "keys":
return([latex('\\keys{')] + contents + [latex('}')])
if __name__ == "__main__":
toJSONFilter(latex_menukeys)
run:
pandoc myfile.md -o myfile.tex -F myfilter.py
pandoc:Error in $.blocks[1].c[0]: failed to parse field blocks: failed to parse field c: mempty
CallStack <fromHasCallStack>:
error, called at pandoc.hs:144:42 in main:Main
How I should use varyable "contents" correct?

Suppose Span is inside a paragraph. Then you would be trying to replace it with a RawBlock, which is not going to work. Maybe try using RawInline instead?

Python Converting tab limited file into csv

I basically want to convert tab delimited text file http://www.linux-usb.org/usb.ids into a csv file.
I tried importing using Excel, but it is not optimal, it turns out like:
8087 Intel Corp.
0020 Integrated Rate Matching Hub
0024 Integrated Rate Matching Hub
How I want it so for easy searching is:
8087 Intel Corp. 0020 Integrated Rate Matching Hub
8087 Intel Corp. 0024 Integrated Rate Matching Hub
Is there any ways I can do this in python?

$ListDirectory = "C:\USB_List.csv"
Invoke-WebRequest 'http://www.linux-usb.org/usb.ids' -OutFile $ListDirectory
$pageContents = Get-Content $ListDirectory | Select-Object -Skip 22
"vendor`tvendor_name`tproduct`tproduct_name`r" > $ListDirectory
#Variables and Flags
$currentVid
$currentVName
$currentPid
$currentPName
$vendorDone = $TRUE
$interfaceFlag = $FALSE
$nextline
$tab = "`t"
foreach($line in $pageContents){
if($line.StartsWith("`#")){
continue
}
elseif($line.length -eq 0){
exit
}
if(!($line.StartsWith($tab)) -and ($vendorDone -eq $TRUE)){
$vendorDone = $FALSE
}
if(!($line.StartsWith($tab)) -and ($vendorDone -eq $FALSE)){
$pos = $line.IndexOf(" ")
$currentVid = $line.Substring(0, $pos)
$currentVName = $line.Substring($pos+2)
"$currentVid`t$currentVName`t`t`r" >> $ListDirectory
$vendorDone = $TRUE
}
elseif ($line.StartsWith($tab)){
if ($interfaceFlag -eq $TRUE){
$interfaceFlag = $FALSE
}
$nextline = $line.TrimStart()
if ($nextline.StartsWith($tab)){
$interfaceFlag = $TRUE
}
if ($interfaceFlag -eq $FALSE){
$pos = $nextline.IndexOf(" ")
$currentPid = $nextline.Substring(0, $pos)
$currentPName = $nextline.Substring($pos+2)
"$currentVid`t$currentVName`t$currentPid`t$currentPName`r" >> $ListDirectory
Write-Host "$currentVid`t$currentVName`t$currentPid`t$currentPName`r"
$interfaceFlag = $FALSE
}
}
}
I know the ask is for python, but I built this PowerShell script to do the job. It takes no parameters. Just run as admin from the directory where you want to store the script. The script collects everything from the http://www.linux-usb.org/usb.ids page, parses the data and writes it to a tab delimited file. You can then open the file in excel as a tab delimited file. Ensure the columns are read as "text" and not "general" and you're go to go. :)
Parsing this page is tricky because the script has to be contextually aware of every VID-Vendor line proceeding a series of PID-Product lines. I also forced the script to ignore the commented description section, the interface-interface_name lines, the random comments that he inserted throughout the USB list (sigh) and everything after and including "#List of known device classes, subclasses and protocols" which is out of scope for this request.
I hope this helps!

You just need to write a little program that scans in the data a line at a time. Then it should check to see if the first character is a tab ('\t'). If not then that value should be stored. If it does start with tab then print out the value that was previously stored followed by the current line. The result will be the list in the format you want.

Something like this would work:
import csv
lines = []
with open("usb.ids.txt") as f:
reader = csv.reader(f, delimiter="\t")
device = ""
for line in reader:
# Ignore empty lines and comments
if len(line) == 0 or (len(line[0]) > 0 and line[0][0] == "#"):
continue
if line[0] != "":
device = line[0]
elif line[1] != "":
lines.append((device, line[1]))
print(lines)
You basically need to loop through each line, and if it's a device line, remember that for the following lines. This will only work for two columns, and you would then need to write them all to a csv file but that's easy enough

Python convert C header file to dict

I have a C header file which contains a series of classes, and I'm trying to write a function which will take those classes, and convert them to a python dict. A sample of the file is down the bottom.
Format would be something like
class CFGFunctions {
class ABC {
class AA {
file = "abc/aa/functions"
class myFuncName{ recompile = 1; };
};
class BB
{
file = "abc/bb/functions"
class funcName{
recompile=1;
}
}
};
};
I'm hoping to turn it into something like
{CFGFunctions:{ABC:{AA:"myFuncName"}, BB:...}}
# Or
{CFGFunctions:{ABC:{AA:{myFuncName:"string or list or something"}, BB:...}}}
In the end, I'm aiming to get the filepath string (which is actually a path to a folder... but anyway), and the class names in the same class as the file/folder path.
I've had a look on SO, and google and so on, but most things I've found have been about splitting lines into dicts, rather then n-deep 'blocks'
I know I'll have to loop through the file, however, I'm not sure the most efficient way to convert it to the dict.
I'm thinking I'd need to grab the outside class and its relevant brackets, then do the same for the text remaining inside.
If none of that makes sense, it's cause I haven't quite made sense of the process myself haha
If any more info is needed, I'm happy to provide.
The following code is a quick mockup of what I'm sorta thinking...
It is most likely BROKEN and probably does NOT WORK. but its sort of the process that I'm thinking of
def get_data():
fh = open('CFGFunctions.h', 'r')
data = {} # will contain final data model
# would probably refactor some of this into a function to allow better looping
start = "" # starting class name
brackets = 0 # number of brackets
text= "" # temp storage for lines inside block while looping
for line in fh:
# find the class (start
mt = re.match(r'Class ([\w_]+) {', line)
if mt:
if start == "":
start = mt.group(1)
else:
# once we have the first class, find all other open brackets
mt = re.match(r'{', line)
if mt:
# and inc our counter
brackets += 1
mt2 = re.match(r'}', line)
if mt2:
# find the close, and decrement
brackets -= 1
# if we are back to the initial block, break out of the loop
if brackets == 0:
break
text += line
data[start] = {'tempText': text}
====
Sample file
class CfgFunctions {
class ABC {
class Control {
file = "abc\abc_sys_1\Modules\functions";
class assignTracker {
description = "";
recompile = 1;
};
class modulePlaceMarker {
description = "";
recompile = 1;
};
};
class Devices
{
file = "abc\abc_sys_1\devices\functions";
class registerDevice { recompile = 1; };
class getDeviceSettings { recompile = 1; };
class openDevice { recompile = 1; };
};
};
};
EDIT:
If possible, if I have to use a package, I'd like to have it in the programs directory, not the general python libs directory.

As you detected, parsing is necessary to do the conversion. Have a look at the package PyParsing, which is a fairly easy-to-use library to implement parsing in your Python program.
Edit: This is a very symbolic version of what it would take to recognize a very minimalistic grammer - somewhat like the example at the top of the question. It won't work, but it might put you in the right direction:
from pyparsing import ZeroOrMore, OneOrMore, \
Keyword, Literal
test_code = """
class CFGFunctions {
class ABC {
class AA {
file = "abc/aa/functions"
class myFuncName{ recompile = 1; };
};
class BB
{
file = "abc/bb/functions"
class funcName{
recompile=1;
}
}
};
};
"""
class_tkn = Keyword('class')
lbrace_tkn = Literal('{')
rbrace_tkn = Literal('}')
semicolon_tkn = Keyword(';')
assign_tkn = Keyword(';')
class_block = ( class_tkn + identifier + lbrace_tkn + \
OneOrMore(class_block | ZeroOrMore(assignment)) + \
rbrace_tkn + semicolon_tkn \
)
def test_parser(test):
try:
results = class_block.parseString(test)
print test, ' -> ', results
except ParseException, s:
print "Syntax error:", s
def main():
test_parser(test_code)
return 0
if __name__ == '__main__':
main()
Also, this code is only the parser - it does not generate any output. As you can see in the PyParsing docs, you can later add the actions you want. But the first step would be to recognize the what you want to translate.
And a last note: Do not underestimate the complexities of parsing code... Even with a library like PyParsing, which takes care of much of the work, there are many ways to get mired in infinite loops and other amenities of parsing. Implement things step-by-step!
EDIT: A few sources for information on PyParsing are:
http://werc.engr.uaf.edu/~ken/doc/python-pyparsing/HowToUsePyparsing.html
http://pyparsing.wikispaces.com/
(Particularly interesting is http://pyparsing.wikispaces.com/Publications, with a long list of articles - several of them introductory - on PyParsing)
http://pypi.python.org/pypi/pyparsing_helper is a GUI for debugging parsers
There is also a 'tag' Pyparsing here on stackoverflow, Where Paul McGuire (the PyParsing author) seems to be a frequent guest.
* NOTE: *
From PaulMcG in the comments below: Pyparsing is no longer hosted on wikispaces.com. Go to github.com/pyparsing/pyparsing

Debugging ScraperWiki scraper (producing spurious integer)

Here is a scraper I created using Python on ScraperWiki:
import lxml.html
import re
import scraperwiki
pattern = re.compile(r'\s')
html = scraperwiki.scrape("http://www.shanghairanking.com/ARWU2012.html")
root = lxml.html.fromstring(html)
for tr in root.cssselect("#UniversityRanking tr:not(:first-child)"):
if len(tr.cssselect("td.ranking")) > 0 and len(tr.cssselect("td.rankingname")) > 0:
data = {
'arwu_rank' : str(re.sub(pattern, r'', tr.cssselect("td.ranking")[0].text_content())),
'university' : tr.cssselect("td.rankingname")[0].text_content().strip()
}
# DEBUG BEGIN
if not type(data["arwu_rank"]) is str:
print type(data["arwu_rank"])
print data["arwu_rank"]
print data["university"]
# DEBUG END
if "-" in data["arwu_rank"]:
arwu_rank_bounds = data["arwu_rank"].split("-")
data["arwu_rank"] = int( ( float(arwu_rank_bounds[0]) + float(arwu_rank_bounds[1]) ) * 0.5 )
if not type(data["arwu_rank"]) is int:
data["arwu_rank"] = int(data["arwu_rank"])
scraperwiki.sqlite.save(unique_keys=['university'], data=data)
It works perfectly except when scraping the final data row of the table (the "York University" line), at which point instead of lines 9 through 11 of the code causing the string "401-500" to be retrieved from the table and assigned to data["arwu_rank"], those lines somehow seem instead to be causing the int 450 to be assigned to data["arwu_rank"]. You can see that I've added a few lines of "debugging" code to get a better understanding of what's going on, but also that that debugging code doesn't go very deep.
I have two questions:
What are my options for debugging scrapers run on the ScraperWiki infrastructure, e.g. for troubleshooting issues like this? E.g. is there a way to step through?
Can you tell me why the the int 450, instead of the string "401-500", is being assigned to data["arwu_rank"] for the "York University" line?
EDIT 6 May 2013, 20:07h UTC
The following scraper completes without issue, but I'm still unsure why the first one failed on the "York University" line:
import lxml.html
import re
import scraperwiki
pattern = re.compile(r'\s')
html = scraperwiki.scrape("http://www.shanghairanking.com/ARWU2012.html")
root = lxml.html.fromstring(html)
for tr in root.cssselect("#UniversityRanking tr:not(:first-child)"):
if len(tr.cssselect("td.ranking")) > 0 and len(tr.cssselect("td.rankingname")) > 0:
data = {
'arwu_rank' : str(re.sub(pattern, r'', tr.cssselect("td.ranking")[0].text_content())),
'university' : tr.cssselect("td.rankingname")[0].text_content().strip()
}
# DEBUG BEGIN
if not type(data["arwu_rank"]) is str:
print type(data["arwu_rank"])
print data["arwu_rank"]
print data["university"]
# DEBUG END
if "-" in data["arwu_rank"]:
arwu_rank_bounds = data["arwu_rank"].split("-")
data["arwu_rank"] = int( ( float(arwu_rank_bounds[0]) + float(arwu_rank_bounds[1]) ) * 0.5 )
if not type(data["arwu_rank"]) is int:
data["arwu_rank"] = int(data["arwu_rank"])
scraperwiki.sqlite.save(unique_keys=['university'], data=data)

There's no easy way to debug your scripts on ScraperWiki, unfortunately it just sends your code in its entirety and gets the results back, there's no way to execute the code interactively.
I added a couple more prints to a copy of your code, and it looks like the if check before the bit that assigns data
if len(tr.cssselect("td.ranking")) > 0 and len(tr.cssselect("td.rankingname")) > 0:
doesn't trigger for "York University" so it will be keeping the int value (you set it later on) from the previous time around the loop.

How do I gather performance metrics for GDI and user Objects using python

Think this is my first question I have asked on here normally find all the answers I need (so thanks in advance)
ok my problem I have written a python program that will in threads monitor a process and output the results to a csv file for later. This code is working great I am using win32pdhutil for the counters and WMI, Win32_PerfRawData_PerfProc_Process for the CPU %time. I have now been asked to monitor a WPF application and specifically monitor User objects and GDI objects.
This is where I have a problem, it is that i can't seem to find any python support for gathering metrics on these two counters. these two counters are easily available in the task manager I find it odd that there is very little information on these two counters. I am specifically looking at gathering these to see if we have a memory leak, I don't want to install anything else on the system other than python that is already installed. Please can you peeps help with finding a solution.
I am using python 3.3.1, this will be running on a windows platform (mainly win7 and win8)
This is the code i am using to gather the data
def gatherIt(self,whoIt,whatIt,type,wiggle,process_info2):
#this is the data gathering function thing
data=0.0
data1="wobble"
if type=="counter":
#gather data according to the attibutes
try:
data = win32pdhutil.FindPerformanceAttributesByName(whoIt, counter=whatIt)
except:
#a problem occoured with process not being there not being there....
data1="N/A"
elif type=="cpu":
try:
process_info={}#used in the gather CPU bassed on service
for x in range(2):
for procP in wiggle.Win32_PerfRawData_PerfProc_Process(name=whoIt):
n1 = int(procP.PercentProcessorTime)
d1 = int(procP.Timestamp_Sys100NS)
#need to get the process id to change per cpu look...
n0, d0 = process_info.get (whoIt, (0, 0))
try:
percent_processor_time = (float (n1 - n0) / float (d1 - d0)) *100.0
#print whoIt, percent_processor_time
except ZeroDivisionError:
percent_processor_time = 0.0
# pass back the n0 and d0
process_info[whoIt] = (n1, d1)
#end for loop (this should take into account multiple cpu's)
# end for range to allow for a current cpu time rather that cpu percent over sampleint
if percent_processor_time==0.0:
data=0.0
else:
data=percent_processor_time
except:
data1="N/A"
else:
#we have done something wrong so data =0
data1="N/A"
#endif
if data == "[]":
data=0.0
data1="N/A"
if data == "" :
data=0.0
data1="N/A"
if data == " ":
data=0.0
data1="N/A"
if data1!="wobble" and data==0.0:
#we have not got the result we were expecting so add a n/a
data=data1
return data
cheers
edited for correct cpu timings issue if anyone tried to run it :D

so after a long search i was able to mash something together that gets me the info needed.
import time
from ctypes import *
from ctypes.wintypes import *
import win32pdh
# with help from here http://coding.derkeiler.com/Archive/Python/comp.lang.python/2007-10/msg00717.html
# the following has been mashed together to get the info needed
def GetProcessID(name):
object = "Process"
items, instances = win32pdh.EnumObjectItems(None, None, object, win32pdh.PERF_DETAIL_WIZARD)
val = None
if name in instances :
tenQuery = win32pdh.OpenQuery()
tenarray = [ ]
item = "ID Process"
path = win32pdh.MakeCounterPath( ( None, object, name, None, 0, item ) )
tenarray.append( win32pdh.AddCounter( tenQuery, path ) )
win32pdh.CollectQueryData( tenQuery )
time.sleep( 0.01 )
win32pdh.CollectQueryData( tenQuery )
for tencounter in tenarray:
type, val = win32pdh.GetFormattedCounterValue( tencounter, win32pdh.PDH_FMT_LONG )
win32pdh.RemoveCounter( tencounter )
win32pdh.CloseQuery( tenQuery )
return val
processIDs = GetProcessID('OUTLOOK') # Remember this is case sensitive
PQI = 0x400
#open a handle on to the process so that we can query it
OpenProcessHandle = windll.kernel32.OpenProcess(PQI, 0, processIDs)
# OK so now we have opened the process now we want to query it
GR_GDIOBJECTS, GR_USEROBJECTS = 0, 1
print(windll.user32.GetGuiResources(OpenProcessHandle, GR_GDIOBJECTS))
print(windll.user32.GetGuiResources(OpenProcessHandle, GR_USEROBJECTS))
#so we have what we want we now close the process handle
windll.kernel32.CloseHandle(OpenProcessHandle)
hope that helps

For GDI count, I think a simpler, cleaner monitoring script is as follows:
import time, psutil
from ctypes import *
def getPID(processName):
for proc in psutil.process_iter():
try:
if processName.lower() in proc.name().lower():
return proc.pid
except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess):
pass
return None;
def getGDIcount(PID):
PH = windll.kernel32.OpenProcess(0x400, 0, PID)
GDIcount = windll.user32.GetGuiResources(PH, 0)
windll.kernel32.CloseHandle(PH)
return GDIcount
PID = getPID('Outlook')
while True:
GDIcount = getGDIcount(PID)
print(f"{time.ctime()}, {GDIcount}")
time.sleep(1)