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process_parse.py
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/
process_parse.py
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import os
import re
import gen_patterns
import utility
import matching
#DEBUG = True
DEBUG = False
PATH_TEST = "java_parser/test_patt2_out/"
PATH="developset/pptexts_parsed/"
PATH_2="developset/test_set/full_parsed/"
IPATH="java_parser/test_patterns_out/"
IRREL_PATH="irrel-texts/texts_parsed/"
#NP_CHUNK_1="(\(NP\s+(\(.*?\)+?)\))"
NP_CHUNK_1="\(NP\s+(\(.*?\)+?)\)"
#NP_CHUNK_2="(\(NP\-TMP\s+(\(.*?\)+?\))"
NP_CHUNK_2="\NP\-TMP\s+(\(.*?\)+?)\)"
NP_CHUNK_REPL=r"[ \1 ]/NP"
#NP_CHUNK_2_REPL=r"(\(NP\-TMP\s+\(.*?\)+?\))"
TAGGED_COMMA = "\s,\/,(?=\s)" # selects commas in the pos tagged o/p of parser ..should we remove '(single quotes) as well ?
COMMA = ","
NOUN_DEP = "nn"
# processes the dependency list parse of a line and extracts np from them and adds those np to the pos tagged sentence
def extract_np(pos_sent,parse_tree): # string , num ,tuple immutable , list ,dict mutable
prev_pattern = "2" # init with some random pattern
# split sentences by space
pos_sent_list = pos_sent.split(" ")
# search the list for nn types only for now
m1 = re.sub(NP_CHUNK_1,NP_CHUNK_REPL,parse_tree)
m2 = re.sub(NP_CHUNK_2,NP_CHUNK_REPL,m1)
return m2
#return " ".join(pos_sent_list)
# extracts noun phrase range as numbers from the NN dependency
def extract_num(left,right):
temp_arr = left.rsplit("-")
if(len(temp_arr)!=2 ):
return -1
left_num = temp_arr[1]
temp_arr = right.rsplit("-")
if( len(temp_arr) !=2 ):
return -1
right_num = temp_arr[1]
# remove the trailing ) from right_num
right_num = right_num.rstrip(")")
# convert to ints
left_num = int(left_num)
right_num = int(right_num)
return (left_num,right_num)
# removes any white spaces from left and right end of the string and removes \n from right end.
def clean_str(line):
line = line.lstrip()
line = line.rstrip(" \n")
return line
# remove parsed or Tagged commas(ie ',/,') from line
def remove_tagged_comma(line):
line = re.sub(TAGGED_COMMA,"",line)
return line
# does the same thing as pprocess_pfile but for a line
def pprocess_pline(text):
lines = text.split('\n')
## initialize three dicts
pos_tags_dict = {}
parse_tree_dict = {}
parse_dependency_dict = {}
curr_loc_read = 0
lines_processed = 0
dependency_list = []
for line in lines:
line = line.strip()
if (not line):
continue
if(utility.isEmpty(line)):
continue
line = clean_str(line)
# first part of each line is the pos tag
if(curr_loc_read==0):
#line = remove_tagged_comma(line)
pos_tags_dict[lines_processed] = line
curr_loc_read += 1
# second part of each line is the parse tree
elif(curr_loc_read==1):
parse_tree_dict[lines_processed] = line
curr_loc_read += 1
# third part of each line is the dependency list
elif(curr_loc_read==2):
m = re.match("\*\*\*",line)
if(m):
parse_dependency_dict[lines_processed]=dependency_list # makes a copy
# move to a next line in text
lines_processed += 1
# initialize vars for next line
curr_loc_read = 0
dependency_list = []
else:
dependency_list.append(line)
return (pos_tags_dict,parse_tree_dict,parse_dependency_dict)
# returns (dict,dict,dict) i.e all the different kinds of parse(i.e pos_tags,parse tree,dependency list) for all the lines in a file
def pprocess_pfile(filename):
## initialize three dicts
pos_tags_dict = {}
parse_tree_dict = {}
parse_dependency_dict = {}
# read the pos tagged sentence and tokenize the sentence
fd = open(filename)
curr_loc_read = 0
lines_processed = 0
dependency_list = []
for line in fd:
if(utility.isEmpty(line)):
continue
line = clean_str(line)
# first part of each line is the pos tag
if(curr_loc_read==0):
#line = remove_tagged_comma(line)
pos_tags_dict[lines_processed] = line
curr_loc_read += 1
# second part of each line is the parse tree
elif(curr_loc_read==1):
parse_tree_dict[lines_processed] = line
curr_loc_read += 1
# third part of each line is the dependency list
elif(curr_loc_read==2):
m = re.match("\*\*\*",line)
if(m):
parse_dependency_dict[lines_processed]=dependency_list # makes a copy
# move to a next line in text
lines_processed += 1
# initialize vars for next line
curr_loc_read = 0
dependency_list = []
else:
dependency_list.append(line)
fd.close()
return (pos_tags_dict,parse_tree_dict,parse_dependency_dict)
def rmv_irrelevant(prsd):
spl = prsd.split()
lspl = len(spl)
if lspl < 2:
return ''
wrds = []
i = 1
curr = spl[0]
while i < lspl:
if curr[0][0] == '(' and spl[i][-1] == ')':
s1 = curr.strip('(')
s2 = spl[i].strip(')')
wrds.append('%s/%s' % (s2, s1))
curr = spl[i]
i += 1
if len(wrds) > 0:
return ' '.join(wrds)
else:
return ''
def assemble_extracts(cntnt):
extrcts = []
spl = re.split('(\[.*?\]\/NP)', cntnt)
for e in spl:
if e[0] == '[' and e[-3:] == '/NP':
extrcts.append(e)
continue
extrct = rmv_irrelevant(e)
if extrct != '':
extrcts.append(extrct)
return ' '.join(extrcts)
def main():
# open output files
target_fd = open("target_out",'w')
victim_fd = open("victim_out",'w')
perp_fd = open("perp_out",'w')
weapon_fd = open("weapon_out",'w')
# init patterns lists
t_rel_patt_list = []
v_rel_patt_list = []
p_rel_patt_list = []
w_rel_patt_list = []
irrel_patt_list = []
for root,dirs,files in os.walk(IRREL_PATH):
for file in files:
if(DEBUG):
print "processing file",file
# ignore swp files
if(re.search("\.swp",file)):
continue
(pos_tags_dict,parse_tree_dict,parse_dependency_dict) = pprocess_pfile(root + file)
for sent_no in pos_tags_dict.keys() :
sent= extract_np(pos_tags_dict[sent_no],parse_tree_dict[sent_no])
sent = assemble_extracts(sent)
#if(DEBUG):
#print "np chunked sentece "+sent+"\n"
temp_patt_list0,temp_patt_list1,temp_patt_list2,temp_patt_list3 = gen_patterns.match_rules(sent)
#print len(temp_patt_list)
# print len(temp_patt_list2)
# print len(temp_patt_list3)
irrel_patt_list += temp_patt_list0 +temp_patt_list1 + temp_patt_list2 + temp_patt_list3
#print "irrel len ",irrel_patt_list
#print "***********************"
print "no of irrel patt",len(irrel_patt_list)
for root, dirs, files in os.walk(PATH):
for file in files:
if(DEBUG):
print "processing file",file
# ignore swp files
if(re.search("\.swp",file)):
continue
(pos_tags_dict,parse_tree_dict,parse_dependency_dict) = pprocess_pfile(root + file)
for sent_no in pos_tags_dict.keys() :
sent= extract_np(pos_tags_dict[sent_no],parse_tree_dict[sent_no])
sent = assemble_extracts(sent)
#if(DEBUG):
# print "np chunked sentece "+sent+"\n"
temp_patt_t,temp_patt_v,temp_patt_w,temp_patt_p = gen_patterns.match_rules(sent)
#print "victim len",len(temp_patt_list)
# print "perp len",len(temp_patt_list2)
# print "weapon len",len(temp_patt_list3)
t_rel_patt_list += temp_patt_t
v_rel_patt_list += temp_patt_v
w_rel_patt_list += temp_patt_w
p_rel_patt_list += temp_patt_p
print "the number of target patterns after dev ",len(t_rel_patt_list)
print "the number of victim patterns after dev ",len(v_rel_patt_list)
print "the number of perp patterns after dev",len(p_rel_patt_list)
print "the number of weapon patterns after dev ",len(w_rel_patt_list)
for root, dirs, files in os.walk(PATH_2):
for file in files:
if(DEBUG):
print "processing file",file
# ignore swp files
if(re.search("\.swp",file)):
continue
(pos_tags_dict,parse_tree_dict,parse_dependency_dict) = pprocess_pfile(root + file)
for sent_no in pos_tags_dict.keys() :
sent= extract_np(pos_tags_dict[sent_no],parse_tree_dict[sent_no])
sent = assemble_extracts(sent)
# if(DEBUG):
# print "np chunked sentece "+sent+"\n"
temp_patt_t,temp_patt_v,temp_patt_w,temp_patt_p = gen_patterns.match_rules(sent)
#print "victim len",len(temp_patt_list)
# print "perp len",len(temp_patt_list2)
# print "weapon len",len(temp_patt_list3)
t_rel_patt_list += temp_patt_t
v_rel_patt_list += temp_patt_v
w_rel_patt_list += temp_patt_w
p_rel_patt_list += temp_patt_p
#print v_rel_patt_list
#print "***********************"
#print p_rel_patt_list
#print "***********************"
#print w_rel_patt_list
print "the number of target patterns after dev ",len(t_rel_patt_list)
print "the number of victim patterns after test",len(v_rel_patt_list)
print "the number of perp patterns after test",len(p_rel_patt_list)
print "the number of weapon patterns after test",len(w_rel_patt_list)
t_rel_set = matching.cmp(irrel_patt_list, t_rel_patt_list)
for target_patt in t_rel_set:
s = "(%s)"%(target_patt,)
target_fd.write(s)
target_fd.write("\n")
v_rel_set = matching.cmp(irrel_patt_list, v_rel_patt_list)
for victim_patt in v_rel_set:
s = "(%s)"%(victim_patt,)
victim_fd.write(s)
victim_fd.write("\n")
p_rel_set = matching.cmp(irrel_patt_list, p_rel_patt_list)
for perp_patt in p_rel_set:
s = "(%s)"%(perp_patt,)
perp_fd.write(s)
perp_fd.write("\n")
if(len(w_rel_patt_list) > 0):
w_rel_set = matching.cmp(irrel_patt_list, w_rel_patt_list)
for weapon_patt in w_rel_set:
s = "(%s)"%(weapon_patt,)
weapon_fd.write(s)
weapon_fd.write("\n")
else:
print "no patterns found for weapon WTF "
#print rel_set
victim_fd.close()
perp_fd.close()
weapon_fd.close()
if __name__== '__main__':
# do something
main()