def sectionScore(resume):
section_tokens = tokenize.input_file_words(resume, [])
currentIndex = -1
wordCount = [0, 0, 0]
for x in section_tokens:
x = x.lower()
if (x.strip("!@#$%^&*()_+|}{:?")
in ["work experience", "employment", "experience"]
and currentIndex != 0):
currentIndex = 0
elif (x.strip("!@#$%^&*()_+|}{:?")
in ["publications", "projects", "research"]
and currentIndex != 1):
currentIndex = 1
elif (x.strip("!@#$%^&*()_+|}{:?")
in ["leadership", "leadership experience"]
and currentIndex != 2):
currentIndex = 2
elif (x.strip("!@#$%^&*()_+|}{:?") in [
"education", "activites", "skils", "interests",
"extracurricular", "honors", "references", "awards",
"acheivements"
]):
currentIndex = -1
else:
wordCount[currentIndex] += 1
return min(((sum(wordCount) - min(wordCount))) / 450.0, 1.0) * 10
def main(resume, cats):
tokens = tokenize.input_file_lines(resume, [])
word_tokens = tokenize.input_file_words(resume, [])
score = 0
email = ""
for token in word_tokens:
if "@" in token:
email = token
break
fout = open("results.tex", "a")
fout.write("\\section{" + email + "}\n")
fout.close()
(cat, category_score) = category(resume, cats[0], cats[1], cats[2],
cats[3], cats[4], cats[5])
overall_score = overall(resume)
programming_score = programmingScore(resume)
gpa_score = gpaScore(word_tokens)
college_score = collegeScore(word_tokens)
word_count_score = wordCountScore(tokens)
degree_score = degreeScore(word_tokens)
section_score = sectionScore(resume)
print "Finished parsing."
score = category_score + overall_score + programming_score + \
gpa_score + college_score + word_count_score + \
degree_score + section_score
fout = open("results.tex", "a")
fout.write("\\textbf{Best category: } " + cat + "\\\\\n\
\\textbf{Overall Score: }" + str(score / 10.0) + " (out of 10)")
fout.close()
return (cat, score, email)
def main(resume, cats):
# initialize variables
# have the words as tokens in a list
tokens = tokenize.input_file_lines(resume, [])
word_tokens = tokenize.input_file_words(resume, [])
score = 0
# get email
email = ""
for token in word_tokens:
if "@" in token:
email = token
break
fout = open("results.tex", "a")
fout.write("\\section{" + email + "}\n")
fout.close()
# category score
(cat, category_score) = category(resume, cats[0], cats[1], cats[2],
cats[3], cats[4], cats[5])
# overall score
overall_score = overall(resume)
# programming languages score
programming_score = programmingScore(resume)
# GPA score
# gpa_score = gpaScore(word_tokens)
# university score
college_score = collegeScore(word_tokens)
# word count score
word_count_score = wordCountScore(tokens)
# degree score
# degree_score = degreeScore(word_tokens)
# sectional score
section_score = sectionScore(resume)
print("Finished parsing")
score = category_score + overall_score + programming_score + college_score + section_score
#hiring condition
if score > 60.00:
ans = "Selected"
else:
ans = "Not Selected"
fout = open("results.tex", "a")
fout.write("\\textbf{Best category: } " + cat + "\\\\\n\
\\textbf{Overall Score: }" + str(score / 10.0) + " (out of 10)")
fout.close()
return (cat, score, email, ans)
def main(resume, cats):
# initialize variables
# have the words as tokens in a list
tokens = tokenize.input_file_lines(resume,[])
word_tokens = tokenize.input_file_words(resume,[])
score = 0
# get email
email = ""
for token in word_tokens:
if "@" in token:
email = token
break
fout = open("results.tex", "a")
fout.write("\\section{" + email +"}\n")
fout.close()
# category score
(cat, category_score) = category(resume, cats[0],cats[1],cats[2],cats[3],cats[4],cats[5])
# overall score
overall_score = overall(resume)
# programming languages score
programming_score = programmingScore(resume)
# GPA score
gpa_score = gpaScore(word_tokens)
# university score
college_score = collegeScore(word_tokens)
# word count score
word_count_score = wordCountScore(tokens)
# degree score
degree_score = degreeScore(word_tokens)
# sectional score
section_score = sectionScore(resume)
print "Finished parsing."
score = category_score + overall_score + programming_score + \
gpa_score + college_score + word_count_score + \
degree_score + section_score
fout = open("results.tex", "a")
fout.write("\\textbf{Best category: } "+cat+"\\\\\n\
\\textbf{Overall Score: }"+ str(score/ 10.0) + " (out of 10)")
fout.close()
return (cat, score, email)
def sectionScore(resume):
section_tokens = tokenize.input_file_words(resume,[])
currentIndex = -1
wordCount = [0,0,0]
for x in section_tokens:
x = x.lower()
if(x.strip("!@#$%^&*()_+|}{:?") in ["work experience", "employment", "experience"] and currentIndex != 0):
currentIndex = 0
elif(x.strip("!@#$%^&*()_+|}{:?") in ["publications", "projects", "research"] and currentIndex != 1):
currentIndex = 1
elif(x.strip("!@#$%^&*()_+|}{:?") in ["leadership","leadership experience"] and currentIndex != 2):
currentIndex = 2
elif(x.strip("!@#$%^&*()_+|}{:?") in ["education","activites","skils", "interests", "extracurricular", "honors", "references", "awards", "acheivements"]):
currentIndex = -1
else:
wordCount[currentIndex] += 1
return min(((sum(wordCount) - min(wordCount))) / 450.0, 1.0) * 10