def writeHeadings():
f = open("all_headings_other_without.txt", 'w')
fileset = getFiles("/home/shreya/Wharton/NEW/Other/ONLY_XML")
for filepath in fileset:
index = filepath.index(".")
if "xml" in filepath[index:]:
print filepath
pt = ParseText(filepath)
content = pt.readXmlToString()
#print content
content_list = pt.readTextToList()
heading_indexes, headings = pt.findHeadings(content, content_list, [])
#print headings
for heading in headings:
f.write(heading.encode('ascii', 'ignore') + "\n")
f.close()
fileset = getFiles("/home/shreya/Wharton/XML")
with open("work_exp.csv", "w") as csvfile:
csvwriter = csv.writer(csvfile, delimiter=",")
csvwriter.writerow(["Filename", "Company, Position, Duration", "About Job", "EXPERIENCE"])
for xml_filepath in fileset:
index = xml_filepath.index(".")
if "xml" in xml_filepath[index:]:
# print "xml: ", xml_filepath
row = []
first_index = xml_filepath.rfind("/") + 1
last_index = xml_filepath.rfind(".")
filename = xml_filepath[first_index:last_index]
# print "filename: "+filename
text_filepath = "/home/shreya/Wharton/PDF_text/" + filename + ".txt"
# print "text_filepath: ", text_filepath
pt = ParseText(xml_filepath, text_filepath)
content = pt.readXmlToString()
content_list = pt.readTextToList()
heading_indexes, headings = pt.findHeadings(content, content_list, PROBABLE_HEADINGS)
# bio = pt.find_bio(content, content_list, headings, heading_indexes)
# print "BIO: ", bio
# print "HEADINGS: ", headings
# edu = pt.find_this(content, content_list, "education", headings, heading_indexes)
exp = pt.find_this(content, content_list, "experience", headings, heading_indexes)
# print "EDUCATION: ", edu
# print "EXPERIENCE: ", exp
if not exp:
exp = pt.find_this(content, content_list, "history", headings, heading_indexes)
split_exp = splitExp(exp)
