class ClassificationService(RequestHandler):
def initialize(self):
#self.cache = TaxonomyCache()
self.default_classificator = Classificator(example_taxonomy)
def get(self):
logging.debug("Received GET request")
service_id = self.get_argument('service_id', default=None)
text = self.get_argument('text')
lang = self.get_argument('lang', default=None)
taxonomy = self.get_argument('taxonomy', default=None)
if taxonomy:
taxonomy = json.loads(taxonomy)
classificator = Classificator(taxonomy)
else:
classificator = self.default_classificator
classification = classificator.classify(text)
logging.debug(classification)
result = self.__get_concepts_from_classification(classification)
if result:
self.write(json.dumps(result))
else:
self.write(json.dumps(['N/A']))
def post(self):
results = list()
logging.debug("Received POST request")
for line in str(self.request.body, 'utf8').split('\n'):
fields = line.split('\t')
text = unquote_plus(unquote_plus(fields[0]))
logging.debug("Classificating %s" % text)
classification = self.default_classificator.classify(text)
result = {
"text": text,
"topics":
self.__get_concepts_from_classification(classification)
}
results.append(result)
self.write({"response": results})
def __get_concepts_from_classification(self, classification):
unique_concepts = set()
for word, concepts in classification.items():
unique_concepts |= set(concepts)
return list(unique_concepts)
def __format_post_classification(self, classification):
concepts = self.__get_concepts_from_classification(classification)
if concepts:
return ';;'.join(concepts)
else:
return 'N/A'
class ClassificationService(RequestHandler):
def initialize(self):
#self.cache = TaxonomyCache()
self.default_classificator = Classificator(example_taxonomy)
def get(self):
logging.debug("Received GET request")
service_id = self.get_argument('service_id', default=None)
text = self.get_argument('text')
lang = self.get_argument('lang', default=None)
taxonomy = self.get_argument('taxonomy', default=None)
if taxonomy:
taxonomy = json.loads(taxonomy)
classificator = Classificator(taxonomy)
else:
classificator = self.default_classificator
classification = classificator.classify(text)
logging.debug(classification)
result = self.__get_concepts_from_classification(classification)
if result:
self.write(json.dumps(result))
else:
self.write(json.dumps(['N/A']))
def post(self):
results = list()
logging.debug("Received POST request")
for line in str(self.request.body, 'utf8').split('\n'):
fields = line.split('\t')
text = unquote_plus(unquote_plus(fields[0]))
logging.debug("Classificating %s" % text)
classification = self.default_classificator.classify(text)
result = {"text":text, "topics":self.__get_concepts_from_classification(classification)}
results.append(result)
self.write({"response":results})
def __get_concepts_from_classification(self, classification):
unique_concepts = set()
for word, concepts in classification.items():
unique_concepts|=set(concepts)
return list(unique_concepts)
def __format_post_classification(self, classification):
concepts = self.__get_concepts_from_classification(classification)
if concepts:
return ';;'.join(concepts)
else:
return 'N/A'
def get(self):
logging.debug("Received GET request")
service_id = self.get_argument('service_id', default=None)
text = self.get_argument('text')
lang = self.get_argument('lang', default=None)
taxonomy = self.get_argument('taxonomy', default=None)
if taxonomy:
taxonomy = json.loads(taxonomy)
classificator = Classificator(taxonomy)
else:
classificator = self.default_classificator
classification = classificator.classify(text)
logging.debug(classification)
result = self.__get_concepts_from_classification(classification)
if result:
self.write(json.dumps(result))
else:
self.write(json.dumps(['N/A']))
def get(self):
logging.debug("Received GET request")
service_id = self.get_argument('service_id', default=None)
text = self.get_argument('text')
lang = self.get_argument('lang', default=None)
taxonomy = self.get_argument('taxonomy', default=None)
if taxonomy:
taxonomy = json.loads(taxonomy)
classificator = Classificator(taxonomy)
else:
classificator = self.default_classificator
classification = classificator.classify(text)
logging.debug(classification)
result = self.__get_concepts_from_classification(classification)
if result:
self.write(json.dumps(result))
else:
self.write(json.dumps(['N/A']))
