class TestTccExtractor(unittest.TestCase):
def setUp(self):
self.doc_dir = join(ROOT_PATH, 'testdocs', 'obtencaograu', 'doctest1.pdf')
self.preparator = Preparator(self.doc_dir)
self.extractor = TccExtractor(self.doc_dir)
self.parse = Parser('tcc.xml')
self.xml_template_metadata = self.parse.xml_template_metadata()
def test_metadata_extractor_generates_metadata_dict(self):
self.extractor.all_metadata() |should_not| be_empty
def test_tcc_document_has_one_or_more_confirmed_by_corpus_author_type_metadata(self):
len(self.extractor._author_metadata()) |should| be_greater_than_or_equal_to(1)
self.extractor._author_metadata() |should_not| contain('')
self.preparator.remove_converted_document()
def test_tcc_document_has_title_type_metadata(self):
self.extractor._title_metadata() |should_not| equal_to('')
self.preparator.remove_converted_document()
def test_tcc_document_has_a_confirmed_by_corpus_institution_metadata(self):
self.extractor._institution_metadata() |should_not| equal_to('Instituto Federal de Educação Ciência e Tecnologia ')
self.preparator.remove_converted_document()
def test_tcc_document_has_a_confirmed_by_corpus_campus_metadata(self):
self.extractor._campus_metadata() |should_not| equal_to('')
self.preparator.remove_converted_document()
def test_tcc_document_has_an_abstract_metadata_pattern_found_by_regex(self):
doc = self.extractor._clean_variouspages_doc
matches = re.search(r'resumo:* (.*?) palavr(a|as)(.|\s)chav(e|es).', doc)
matches.group() |should| start_with('resumo')
self.extractor._abstract_metadata |should_not| equal_to('')
def __init__(self, doc_dir):
convertion_style = "-raw"
self._eventextractor = EventExtractor(doc_dir)
parse = Parser(join(ROOT, 'templates', 'periodic.xml'))
self._template_metadata = parse.xml_template_metadata()
page = self._template_metadata['page']
self._preparator = Preparator(doc_dir)
self._raw_onepage_doc = self._preparator.raw_text_convertion(page, page, convertion_style)
self._linetokenized_onepage_doc = line_tokenize(self._raw_onepage_doc)
self._clean_onepage_doc = self._raw_onepage_doc.replace('\n', ' ')
class PeriodicExtractor(object):
def __init__(self, doc_dir):
convertion_style = "-raw"
self._eventextractor = EventExtractor(doc_dir)
parse = Parser(join(ROOT, 'templates', 'periodic.xml'))
self._template_metadata = parse.xml_template_metadata()
page = self._template_metadata['page']
self._preparator = Preparator(doc_dir)
self._raw_onepage_doc = self._preparator.raw_text_convertion(page, page, convertion_style)
self._linetokenized_onepage_doc = line_tokenize(self._raw_onepage_doc)
self._clean_onepage_doc = self._raw_onepage_doc.replace('\n', ' ')
## Event authors metadata extractor extends method to periodic author extractor
def _author_metadata(self):
self.authors = self._eventextractor._author_metadata()
return self.authors
def _abstract_metadata(self):
regex = re.compile(r'resumo:* (.*?) (palavr(a|as)(.|\s)chav(e|es).|unitermos|descritores)')
self.abstract = regex.search(self._clean_onepage_doc).group(1).strip().capitalize()
return self.abstract
def all_metadata(self):
if self._preparator.doc_ext == '.pdf':
try:
pdf_embed_metadata = self._preparator.pdf_embed_metadata()
self._pdf_num_pages = pdf_embed_metadata.numPages
except:
print 'Encripted document'
self._pdf_num_pages = 0
else:
self._pdf_num_pages = 0
metadata = {'author_metadata': self._author_metadata(),
'abstract_metadata': self._abstract_metadata(),
'number_pages': self._pdf_num_pages
}
try:
self._preparator.remove_converted_document()
except OSError:
print 'Temporary document already removed..'
return metadata
def __init__(self, doc_dir):
convertion_style = ""
parse = Parser(join(ROOT, 'templates', 'event.xml'))
self._template_metadata = parse.xml_template_metadata()
page = self._template_metadata['page']
self._preparator = Preparator(doc_dir)
self._raw_onepage_doc = self._preparator.raw_text_convertion(page, page, convertion_style)
self._linetokenized_onepage_doc = line_tokenize(self._raw_onepage_doc)
self._clean_onepage_doc = self._raw_onepage_doc.replace('\n', ' ')
self._email_regex = re.compile(r'(\w+[.|\w])*@(\w+[.])*\w+')
class TestPreparation(unittest.TestCase):
def setUp(self):
self.parse = Parser('tcc.xml')
self.doc_dir = join(ROOT_PATH, 'testdocs', 'obtencaograu', 'doctest1.pdf')
self.preparator = Preparator(self.doc_dir)
self.xml_template_metadata = self.parse.xml_template_metadata()
def test_pdf_document_exists(self):
document = basename(self.doc_dir)
documents = listdir(dirname(self.doc_dir))
document |should| be_into (documents)
def test_raw_text_convertion(self):
convertion_style = ""
page = self.xml_template_metadata['page']
self.preparator.raw_text_convertion(page, page, convertion_style)
documents = listdir(dirname(self.doc_dir))
self.preparator.temp_text_doc |should| be_into(documents)
def test_name_corpus_has_a_certain_quantity_of_names(self):
len(self.preparator.parse_corpus('names')) |should| equal_to(6297)
def test_temporary_text_files_are_being_removed(self):
convertion_style = ""
page = self.xml_template_metadata['page']
documents = listdir(dirname(self.doc_dir))
self.preparator.raw_text_convertion(page, page, convertion_style)
self.preparator.temp_text_doc |should| be_into(documents)
self.preparator.remove_converted_document()
documents = listdir(dirname(self.doc_dir))
self.preparator.temp_text_doc |should_not| be_into(documents)
def test_institution_corpus_is_a_list_of_institution_names_with_respective_prepositions(self):
self.preparator.parse_corpus('institution') |should| equal_to([['', 'fluminense'], ['', 'catarinense'],
['', 'baiano'], ['', 'goiano'], ['de ', 'tocantins'], ['do ', 'mato grosso'], ['do ', 'par\xc3\xa1'],
['da ', 'para\xc3\xadba'], ['de ', 'sergipe'], ['do ', 'cear\xc3\xa1'], ['de ', 'roraima'], ['de ', 'alagoas'],
['de ', 'santa catarina'], ['do ', 'sul de minas'], ['do ', 'sul de minas gerais'],
['de ', 's\xc3\xa3o paulo'], ['do ', 'tri\xc3\xa2ngulo mineiro'], ['de ', 'minas gerais'],
['do ', 'sert\xc3\xa3o pernambucano'], ['do ', 'mato grosso do sul'], ['da ', 'bahia'],
['de ', 'rondonia'], ['do ', 'rio grande do sul'], ['do ', 'rio grande do norte'], ['de ', 'bras\xc3\xadlia'],
['do ', 'norte de minas'], ['do ', 'piau\xc3\xad'], ['de ', 'amazonas'], ['do ', 'paran\xc3\xa1'],
['de ', 'amap\xc3\xa1'], ['do ', 'acre'], ['de ', 'maranh\xc3\xa3o'], ['do ', 'rio de janeiro'],
['de ', 'pernambuco'], ['da ', 'bahia'], ['do ', 'esp\xc3\xadrito santo'], ['do ', 'sudeste de minas gerais'],
['de ', 'goi\xc3\xa1s'], ['de ', 'farroupilha'], ['de ', 'goi\xc3\xa1s'], ['de ', 'campinas']])
def __init__(self, doc_dir):
convertion_style = ""
parse = Parser(join(ROOT, 'templates', 'tcc.xml'))
self._template_metadata = parse.xml_template_metadata()
page = self._template_metadata['page']
pages = self._template_metadata['pages']
self._preparator = Preparator(doc_dir)
self._raw_onepage_doc = self._preparator.raw_text_convertion(page, page, convertion_style)
self._raw_variouspages_doc = self._preparator.raw_text_convertion(pages[0], pages[1], convertion_style)
self._linetokenized_onepage_raw_doc = open('%s.txt' %self._preparator.doc_dir).readlines()
self._clean_variouspages_doc = self._raw_variouspages_doc.replace('\n', ' ')
self._linetokenized_onepage_doc = line_tokenize(self._raw_onepage_doc)
self._wordtokenized_onepage_doc = self._preparator.wordtokenized_punctuation_exclusion(self._raw_onepage_doc)
self.linebreak = "\n"
def setUp(self):
self.doc_dir = join(ROOT_PATH, 'testdocs', 'obtencaograu', 'doctest1.pdf')
self.preparator = Preparator(self.doc_dir)
self.extractor = TccExtractor(self.doc_dir)
self.parse = Parser('tcc.xml')
self.xml_template_metadata = self.parse.xml_template_metadata()
class TccExtractor(object):
def __init__(self, doc_dir):
convertion_style = ""
parse = Parser(join(ROOT, 'templates', 'tcc.xml'))
self._template_metadata = parse.xml_template_metadata()
page = self._template_metadata['page']
pages = self._template_metadata['pages']
self._preparator = Preparator(doc_dir)
self._raw_onepage_doc = self._preparator.raw_text_convertion(page, page, convertion_style)
self._raw_variouspages_doc = self._preparator.raw_text_convertion(pages[0], pages[1], convertion_style)
self._linetokenized_onepage_raw_doc = open('%s.txt' %self._preparator.doc_dir).readlines()
self._clean_variouspages_doc = self._raw_variouspages_doc.replace('\n', ' ')
self._linetokenized_onepage_doc = line_tokenize(self._raw_onepage_doc)
self._wordtokenized_onepage_doc = self._preparator.wordtokenized_punctuation_exclusion(self._raw_onepage_doc)
self.linebreak = "\n"
def _author_metadata(self):
self.authors = []
name_corpus = self._preparator.parse_corpus('names')
residues = self._template_metadata['author_residue']
breakers = self._template_metadata['author_breaker']
for line in self._linetokenized_onepage_doc:
line_mod = set(word_tokenize(line))
corpus_common = bool(line_mod.intersection(name_corpus))
has_residue = bool(line_mod.intersection(residues))
has_breaker = bool(line_mod.intersection(breakers))
if corpus_common and not has_residue:
self.authors.append(line.title())
elif has_breaker: break
return self.authors
def _title_start_point(self):
self._title_doc = []
for line in self._linetokenized_onepage_raw_doc:
self._title_doc.append(line.decode('utf-8').lower().encode('utf-8'))
authors = self._author_metadata()
if authors:
last_author_index = self._title_doc.index(authors[-1].lower() + self.linebreak)
nextline = last_author_index + 1
## Verify line after last author
if self._title_doc[nextline] == self.linebreak:
title_start_point = nextline + 1
else: title_start_point = last_author_index
return title_start_point
def _title_metadata(self):
self.title = ''
title_start_point = self._title_start_point()
breakers = self._template_metadata['title_breaker']
for title_index in range(title_start_point, len(self._title_doc)):
line_mod = self._title_doc[title_index].split()
has_breaker = bool(set(line_mod).intersection(breakers))
if not has_breaker:
self.title += self._title_doc[title_index].replace(self.linebreak, ' ')
else: break
self.title = self.title.strip().capitalize()
return self.title
def _institution_metadata(self):
self.institution = 'Instituto Federal de Educação Ciência e Tecnologia '
institution_validator = set(self._template_metadata['institution_validator'])
has_institution = bool(institution_validator.intersection(self._wordtokenized_onepage_doc))
if has_institution:
institution_corpus = self._preparator.parse_corpus('institution')
for preposition, institution in institution_corpus:
institution_mod = set(institution.split())
if institution_mod.intersection(self._wordtokenized_onepage_doc) == institution_mod:
self.institution = self.institution + preposition + institution.title()
break
return self.institution
def _campus_metadata(self):
self.campus = ''
campus_validator = set(self._template_metadata['campus_validator'])
has_campus = bool(campus_validator.intersection(self._wordtokenized_onepage_doc))
if has_campus:
self.campus_corpus = self._preparator.parse_corpus('campus')
for campus in self.campus_corpus:
campus_mod = set(campus.split())
if campus_mod.intersection(self._wordtokenized_onepage_doc) == campus_mod:
self.campus = campus.title()
break
return self.campus
def _abstract_metadata(self):
regex = re.compile(r'resumo:* (.*?) (palavr(a|as)(.|\s)chav(e|es).|abstract)')
self.abstract = regex.search(self._clean_variouspages_doc).group(1).strip().capitalize()
return self.abstract
def _grade_metadata(self):
self.grade = ''
temp_grade_level = 0
doc = self._raw_onepage_doc.replace('\n', ' ')
self.grade_references = {('Graduação', 1): self._template_metadata['grade_graduation'],
('Especialização', 2): self._template_metadata['grade_spec'],
('Mestrado', 3): self._template_metadata['grade_master_degree'],
('Doutorado', 4): self._template_metadata['grade_doctoral'],
('Pós-Doutorado', 5): self._template_metadata['grade_postdoctoral']
}
for grade in self.grade_references.iterkeys():
grade_type, grade_level = grade
for grade_name in self.grade_references[grade]:
if grade_name in doc and grade_level > temp_grade_level:
temp_grade_level = grade_level
self.grade = grade_type
break
return self.grade
def all_metadata(self):
if self._preparator.doc_ext == '.pdf':
try:
pdf_embed_metadata = self._preparator.pdf_embed_metadata()
self._pdf_num_pages = pdf_embed_metadata.numPages
except:
print 'Encripted document'
self._pdf_num_pages = 0
else:
self._pdf_num_pages = 0
metadata = {'author_metadata': self._author_metadata(),
'grade_metadata': self._grade_metadata(),
'title_metadata': self._title_metadata(),
'institution_metadata': self._institution_metadata(),
'campus_metadata': self._campus_metadata(),
'abstract_metadata': self._abstract_metadata(),
'number_pages': self._pdf_num_pages
}
try:
self._preparator.remove_converted_document()
except OSError:
print 'Temporary document already removed..'
return metadata
def setUp(self):
self.parse = Parser("tcc.xml")
self.doc_dir = join(ROOT_PATH, "testdocs", "obtencaograu", "doctest1.pdf")
self.preparator = Preparator(self.doc_dir)
self.xml_template_metadata = self.parse.xml_template_metadata()
class TestPreparation(unittest.TestCase):
def setUp(self):
self.parse = Parser("tcc.xml")
self.doc_dir = join(ROOT_PATH, "testdocs", "obtencaograu", "doctest1.pdf")
self.preparator = Preparator(self.doc_dir)
self.xml_template_metadata = self.parse.xml_template_metadata()
def test_pdf_document_exists(self):
document = basename(self.doc_dir)
documents = listdir(dirname(self.doc_dir))
document | should | be_into(documents)
def test_raw_text_convertion(self):
convertion_style = ""
page = self.xml_template_metadata["page"]
self.preparator.raw_text_convertion(page, page, convertion_style)
documents = listdir(dirname(self.doc_dir))
self.preparator.temp_text_doc | should | be_into(documents)
def test_name_corpus_has_a_certain_quantity_of_names(self):
len(self.preparator.parse_corpus("names")) | should | equal_to(6297)
def test_temporary_text_files_are_being_removed(self):
convertion_style = ""
page = self.xml_template_metadata["page"]
documents = listdir(dirname(self.doc_dir))
self.preparator.raw_text_convertion(page, page, convertion_style)
self.preparator.temp_text_doc | should | be_into(documents)
self.preparator.remove_converted_document()
documents = listdir(dirname(self.doc_dir))
self.preparator.temp_text_doc | should_not | be_into(documents)
def test_institution_corpus_is_a_list_of_institution_names_with_respective_prepositions(self):
self.preparator.parse_corpus("institution") | should | equal_to(
[
["", "fluminense"],
["", "catarinense"],
["", "baiano"],
["", "goiano"],
["de ", "tocantins"],
["do ", "mato grosso"],
["do ", "par\xc3\xa1"],
["da ", "para\xc3\xadba"],
["de ", "sergipe"],
["do ", "cear\xc3\xa1"],
["de ", "roraima"],
["de ", "alagoas"],
["de ", "santa catarina"],
["do ", "sul de minas"],
["do ", "sul de minas gerais"],
["de ", "s\xc3\xa3o paulo"],
["do ", "tri\xc3\xa2ngulo mineiro"],
["de ", "minas gerais"],
["do ", "sert\xc3\xa3o pernambucano"],
["do ", "mato grosso do sul"],
["da ", "bahia"],
["de ", "rondonia"],
["do ", "rio grande do sul"],
["do ", "rio grande do norte"],
["de ", "bras\xc3\xadlia"],
["do ", "norte de minas"],
["do ", "piau\xc3\xad"],
["de ", "amazonas"],
["do ", "paran\xc3\xa1"],
["de ", "amap\xc3\xa1"],
["do ", "acre"],
["de ", "maranh\xc3\xa3o"],
["do ", "rio de janeiro"],
["de ", "pernambuco"],
["da ", "bahia"],
["do ", "esp\xc3\xadrito santo"],
["do ", "sudeste de minas gerais"],
["de ", "goi\xc3\xa1s"],
["de ", "farroupilha"],
["de ", "goi\xc3\xa1s"],
]
)
class EventExtractor(object):
def __init__(self, doc_dir):
convertion_style = ""
parse = Parser(join(ROOT, 'templates', 'event.xml'))
self._template_metadata = parse.xml_template_metadata()
page = self._template_metadata['page']
self._preparator = Preparator(doc_dir)
self._raw_onepage_doc = self._preparator.raw_text_convertion(page, page, convertion_style)
self._linetokenized_onepage_doc = line_tokenize(self._raw_onepage_doc)
self._clean_onepage_doc = self._raw_onepage_doc.replace('\n', ' ')
self._email_regex = re.compile(r'(\w+[.|\w])*@(\w+[.])*\w+')
def _author_metadata(self):
self.authors = []
breaker = self._template_metadata['author_breaker'][0]
residues = self._template_metadata['author_residue']
name_corpus = self._preparator.parse_corpus('names')
abnt_name = re.compile(r'(\w[.]\s)*(\w+[;])')
has_only_email = False
for line in self._linetokenized_onepage_doc:
has_breaker = re.match(breaker, line)
if has_breaker: break
line_mod = set(word_tokenize(line))
has_corpus_common = bool(line_mod.intersection(name_corpus))
has_residue = bool(line_mod.intersection(residues))
if has_corpus_common and not has_residue:
find_email = self._email_regex.search(line)
if find_email:
email = find_email.group()
line = line.replace(email, '').strip()
if line != '': self.authors.append(line)
if not self.authors:
clean_onepage_doc = self._clean_onepage_doc
find_author = abnt_name.search(clean_onepage_doc)
while find_author:
author = find_author.group()
self.authors.append(author)
clean_onepage_doc = clean_onepage_doc.replace(author, '')
find_author = abnt_name.search(clean_onepage_doc)
return self.authors
def _abstract_metadata(self):
regex = re.compile(r'resumo:* (.*?) (palavr(a|as)(.|\s)chav(e|es).|unitermos|descritores)')
self.abstract = regex.search(self._clean_onepage_doc).group(1).strip().capitalize()
return self.abstract
def _title_metadata(self):
self.title = ''
self.title_catcher = []
has_author = False
authors = self._author_metadata()
breakers = self._template_metadata['title_breaker']
for line in self._linetokenized_onepage_doc:
has_breaker = bool(set(word_tokenize(line)).intersection(breakers))
has_email = self._email_regex.search(line)
for author in authors:
has_author = (author in line) or has_author
if not has_email and not has_author and not has_breaker:
self.title_catcher.append(line)
else:
self.title = ' '.join(self.title_catcher).capitalize()
break
return self.title
def all_metadata(self):
if self._preparator.doc_ext == '.pdf':
try:
pdf_embed_metadata = self._preparator.pdf_embed_metadata()
self._pdf_num_pages = pdf_embed_metadata.numPages
except:
print 'Encripted document'
self._pdf_num_pages = 0
else:
self._pdf_num_pages = 0
metadata = {'author_metadata': self._author_metadata(),
'title_metadata': self._title_metadata(),
'abstract_metadata': self._abstract_metadata(),
'number_pages': self._pdf_num_pages
}
try:
self._preparator.remove_converted_document()
except OSError:
print 'Temporary document already removed..'
return metadata
