def __NERrecognizer(self, text, kb):
'''
Call NER tool.
@text - input text for processing
@kb - instance of loaded KB
'''
return recognize(kb, text, False, False)
def handle_request(self, *flags, **kw):
'''Deprecated'''
txt = kw.get("text")
kb = self.kbmanager.getKB("KBstatsMetrics")
result = recognize(kb, txt.encode("utf-8"), False, False)
rg = parse_result(result, kb, 'classic')
return rg
def index(self, text):
'''
Handling request for "/parser"
@text - string contains data from ?=text http argument
'''
txt = text
print len(txt.encode('ascii','replace'))
result = recognize(self.kb, txt.encode('ascii','replace'), False, False)
rg = parse_result(result, self.kb, False)
cherrypy.response.headers['Content-Type'] = "application/json"
return json.dumps(rg)
def ner_api():
try:
text = request.json['text'] #request içinden text alınıyor
if type(text) == str: # eğer input str ise devam et
output = recognize(text) # adlı varlıklar belirleniyor
return jsonify({"output": output})
else:
return jsonify({"error": "only string input, please"})
except:
return jsonify(
{"error": "Did you mean to send: {'text': 'some text'}"})
def call(self, input_data, asset, params ):
kb = asset.getPart(self.assetPart)
ner.dictionary=None
data = ner.recognize(kb, input_data, False, False, False, params.get("lower", False), params.get("remove accent", False), params.get("name_recognize", False))
return data
def call(self, input_data, asset, params):
kb = asset.getPart(self.assetPart)
ner.dictionary=None
data = ner.recognize(kb, input_data, False, False, False, params["lower"], params["remove accent"])
print data
return data
