def test_analyze_entities():
result = analyze.analyze_entities('Tom Sawyer is a book written by a guy known as Mark Twain..')
print (result)
assert result['language'] == 'en'
entities = result['entities']
assert len(entities)
subject = entities[0]
assert subject['type'] == 'PERSON'
assert subject['name'].startswith('Tom')
def test_analyze_entities():
result = analyze.analyze_entities(
'Tom Sawyer is a book written by a guy known as Mark Twain.')
assert result['language'] == 'en'
entities = result['entities']
assert len(entities)
subject = entities[0]
assert subject['type'] == 'PERSON'
assert subject['name'].startswith('Tom')
def test_analyze_entities():
result = analyze.analyze_entities(
"Tom Sawyer is a book written by a guy known as Mark Twain.")
assert result["language"] == "en"
entities = result["entities"]
assert len(entities)
subject = entities[0]
assert subject["type"] == "PERSON"
assert subject["name"].startswith("Tom")
def get_named_entities(sentence):
import analyze as an
response = an.analyze_entities(sentence)
named_entities = []
for entity in response['entities']:
#print(entity['type'])
if entity['type'] != 'COMMON':
#print(entity['name'])
named_entities.append(entity['name'])
#named_entities.append(ent.text)
return named_entities #named_entities
def add_task(text):
global eve_name # イベント名
# usertask = analyze.get_or_insert('task1')
result = analyze.analyze_entities(text, analyze.get_native_encoding_type())
datetimes = pars_datetime(text)
entities = json.dumps(result.values())
# メタ情報表示
print "ADD_TASK_META++++++++"
print type(entities)
print type(result)
print(result.keys())
print(result.values())
print(result.items())
print "ADD_TASK_META++++++++"
for entitie in result['entities']:
# エンティティタイプ表示
print "ENTITE_TYPE+++++++"
print entitie['type']
print entitie['name'].encode('utf8')
print "ENTITE_TYPE+++++++"
if entitie['type'] == "EVENT":
eve_name = entitie['name']
for mention in entitie['mentions']:
# その他の固有表現表示
print "ALL_MENTIONS+++++++"
print mention['type'].encode('utf8')
print mention['text']['content'].encode('utf8')
print "ALL_MENTIONS+++++++"
date = json.loads(datetime.content)rlfetch.fetch(url='https://labs.goo.ne.jp/api/chrono', payload=json.dumps(payloads), method=urlfetch.POST, headers=header)
return resu
for dt in date['datetime_list']:
print dt[1]
print type(dt[1])
print type(str(dt[1]))
# usertask.tag_date = dtime
t = datetime.strptime('2014/01/01', '%Y/%m/%d')
print t
def getEntities(text):
result = analyze_entities(text, get_native_encoding_type())
entitiesList = [Payload(ent) for ent in result['entities']]
filteredEntitiesList = list(
filter(lambda x: x.type == 'OTHER', entitiesList))
return set([x.name for x in filteredEntitiesList])
def reg2(reply_token, text, userdata):
global org_name, und_name, dep_name
org_name = u"見つかりません"
und_name = u"見つかりません"
dep_name = u"見つかりません"
rip1 = text.replace(" ", u"、")
rip2 = rip1.replace(u" ", u"、")
rip3 = u"私はねー！、" + rip2 + u"なんだよー。"
print "TEXT_STRIP"
print rip3.encode('utf8')
print "TEXT_STRIP"
result = analyze.analyze_entities(rip3, analyze.get_native_encoding_type())
entities = json.dumps(result.values())
print type(entities)
print type(result)
print(result.keys())
print(result.values())
print(result.items())
for entitie in result['entities']:
print "====="
print entitie['type']
print entitie['name'].encode('utf8')
print "====="
if entitie['type'] == "ORGANIZATION" and u"大学" in entitie['name']:
org_name = entitie['name']
for mention in entitie['mentions']:
if entitie['type'] == "ORGANIZATION" and mention[
'type'] == "COMMON":
print "====="
print "GAKUBU"
print mention['text']['content'].encode('utf8')
print "======"
und_name = mention['text']['content']
elif entitie['type'] == "OTHER":
print "====="
print "GAKKA"
print mention['text']['content'].encode('utf8')
print "======"
dep_name = mention['text']['content']
print "ALL_MENTIONS"
print mention['type'].encode('utf8')
print mention['text']['content'].encode('utf8')
print "ALL_MENTIONS"
parse = u"学校名: " + org_name + u"\n学部名: " + und_name + u"\n学科名: " + dep_name + u"\nよろしいですか？"
payloads = {
"replyToken":
reply_token,
"messages": [{
"type": "template",
"altText": parse,
"template": {
"type":
"confirm",
"text":
parse,
"actions": [{
"type": "message",
"label": u"はい",
"text": u"はい"
}, {
"type": "message",
"label": u"修正",
"text": u"修正"
}]
}
}]
}
Massage.reply(payloads)
userdata.flag = "reg3"
if org_name != u"見つかりません":
userdata.school = org_name
if und_name != u"見つかりません":
userdata.undergraduate = und_name
if dep_name != u"見つかりません":
userdata.department = dep_name
userdata.put()