def setUp(self):
self.user = User.objects.create_user(username='******', password='******', email='*****@*****.**')
TextFile(user=self.user, file=None).save()
self.text_file = TextFile.objects.last()
CorpusItem(title='test_ci', text_file=self.text_file, user=self.user).save()
self.corpus_item = CorpusItem.objects.last()
f_path = abspath("tests/core/parse_response.json")
with open(f_path) as json_file:
json_event = json_file.read()
parsed_text = json.loads(json_event)
sentences = parsed_text['sentences']
# deal with bulk save
words_to_save = []
for sentence in sentences:
handler = SentenceHandler(sentence, self.corpus_item)
words_to_save = words_to_save + handler.process_sentence()
# buld save the words
WordToken.objects.bulk_create(words_to_save)
CorpusItemCollection(user=self.user, title='test').save()
self.collection = CorpusItemCollection.objects.last()
self.collection.corpus_items.add(self.corpus_item)
def setUp(self):
self.user = User.objects.create_user(username='******',
password='******',
email='*****@*****.**')
TextFile(user=self.user, file=None).save()
self.text_file = TextFile.objects.last()
CorpusItem(title='test_ci', text_file=self.text_file,
user=self.user).save()
self.corpus_item = CorpusItem.objects.last()
f_path = abspath("tests/core/parse_response.json")
with open(f_path) as json_file:
json_event = json_file.read()
parsed_text = json.loads(json_event)
sentences = parsed_text['sentences']
# deal with bulk save
words_to_save = []
for sentence in sentences:
handler = SentenceHandler(sentence, self.corpus_item)
words_to_save = words_to_save + handler.process_sentence()
# buld save the words
WordToken.objects.bulk_create(words_to_save)
CorpusItemCollection(user=self.user, title='test').save()
self.collection = CorpusItemCollection.objects.last()
self.collection.corpus_items.add(self.corpus_item)
def setUp(self):
self.user = User.objects.create_user(username='******', password='******', email='*****@*****.**')
self.line_file = create_doc_with_x_lines(100)
TextFile(user=self.user, file=SimpleUploadedFile('best_file_eva.txt', str([str(num) + '\n' for num in xrange(100)]))).save()
self.text_file = TextFile.objects.last()
sentences = "I am a pony. I am a frong. I am a dog. I go to the zoo."
TextFile(user=self.user, file=SimpleUploadedFile('best_file.txt', sentences)).save()
self.sentence_file = TextFile.objects.last()
CorpusItem(title='test_ci', text_file=self.text_file, user=self.user).save()
self.corpus_item = CorpusItem.objects.last()
f_path = abspath("tests/core/parse_response.json")
self.parse_lock_path = abspath("tests/core/parse_locked.txt")
with open(f_path) as json_file:
json_event = json_file.read()
parsed_text = json.loads(json_event)
sentences = parsed_text['sentences']
# deal with bulk save
words_to_save = []
for sentence in sentences:
handler = SentenceHandler(sentence, self.corpus_item)
words_to_save = words_to_save + handler.process_sentence()
# buld save the words
WordToken.objects.bulk_create(words_to_save)
CorpusItemCollection(user=self.user, title='test').save()
self.collection = CorpusItemCollection.objects.last()
self.collection.corpus_items.add(self.corpus_item)
settings.DEFAULT_FILTER = {"name": "bob",
"filter_data": {
"lemma": True,
"ner": False,
"pos": ['CC', 'CD', 'DT', 'EX', 'FW', 'IN', 'JJ', 'JJR', 'JJS', 'LS',
'MD', 'NN', 'NNS', 'NNP', 'NNPS', 'PDT', 'PDT', 'POS', 'PRP',
'PRP$', 'RB', 'RBR', 'RBS', 'RP', 'SYM', 'TO', 'UH', 'VB', 'VBD',
'VBG', 'VBN', 'VBP', 'VBZ', 'WDT', 'WP', 'WP$', 'WRB'],
"stopwords": (
"I,i,me,my,myself,we,our,ours,ourselves,you,your,yours,yourself,yourselves,he,him,his,"
"himself,she,her,hers,herself,it,its,itself,they,them,their,theirs,themselves,what,"
"which,who,whom,this,that,these,those,am,is,are,was,were,be,been,being,have,has,had,"
"having,do,does,did ,doing,a,an,the,and,but,if,or,because,as,until,while,of,at,by,"
"for,with,about,against,between,into,through,during,before,after,above,below,to,"
"from,up,down,in,out,on,off,over,under,again,further,then,once,here,there,when,"
"where,why,how,all,any,both,each,few,more,most,other,some,such,no,nor,not,only,own,"
"same,so,than,too,very,s,t,can,will,just,don,should,now")
}
}
self.filter = settings.DEFAULT_FILTER
def setUp(self):
self.user = User.objects.create_user(username='******',
password='******',
email='*****@*****.**')
self.line_file = create_doc_with_x_lines(100)
TextFile(user=self.user,
file=SimpleUploadedFile(
'best_file_eva.txt',
str([str(num) + '\n' for num in xrange(100)]))).save()
self.text_file = TextFile.objects.last()
sentences = "I am a pony. I am a frong. I am a dog. I go to the zoo."
TextFile(user=self.user,
file=SimpleUploadedFile('best_file.txt', sentences)).save()
self.sentence_file = TextFile.objects.last()
CorpusItem(title='test_ci', text_file=self.text_file,
user=self.user).save()
self.corpus_item = CorpusItem.objects.last()
f_path = abspath("tests/core/parse_response.json")
self.parse_lock_path = abspath("tests/core/parse_locked.txt")
with open(f_path) as json_file:
json_event = json_file.read()
parsed_text = json.loads(json_event)
sentences = parsed_text['sentences']
# deal with bulk save
words_to_save = []
for sentence in sentences:
handler = SentenceHandler(sentence, self.corpus_item)
words_to_save = words_to_save + handler.process_sentence()
# buld save the words
WordToken.objects.bulk_create(words_to_save)
CorpusItemCollection(user=self.user, title='test').save()
self.collection = CorpusItemCollection.objects.last()
self.collection.corpus_items.add(self.corpus_item)
settings.DEFAULT_FILTER = {
"name": "bob",
"filter_data": {
"lemma":
True,
"ner":
False,
"pos": [
'CC', 'CD', 'DT', 'EX', 'FW', 'IN', 'JJ', 'JJR', 'JJS',
'LS', 'MD', 'NN', 'NNS', 'NNP', 'NNPS', 'PDT', 'PDT',
'POS', 'PRP', 'PRP$', 'RB', 'RBR', 'RBS', 'RP', 'SYM',
'TO', 'UH', 'VB', 'VBD', 'VBG', 'VBN', 'VBP', 'VBZ', 'WDT',
'WP', 'WP$', 'WRB'
],
"stopwords":
("I,i,me,my,myself,we,our,ours,ourselves,you,your,yours,yourself,yourselves,he,him,his,"
"himself,she,her,hers,herself,it,its,itself,they,them,their,theirs,themselves,what,"
"which,who,whom,this,that,these,those,am,is,are,was,were,be,been,being,have,has,had,"
"having,do,does,did ,doing,a,an,the,and,but,if,or,because,as,until,while,of,at,by,"
"for,with,about,against,between,into,through,during,before,after,above,below,to,"
"from,up,down,in,out,on,off,over,under,again,further,then,once,here,there,when,"
"where,why,how,all,any,both,each,few,more,most,other,some,such,no,nor,not,only,own,"
"same,so,than,too,very,s,t,can,will,just,don,should,now")
}
}
self.filter = settings.DEFAULT_FILTER