def eventextraction_finance_v1():
''' 火灾事件提取v1.2版服务
'''
json_data = request.get_json()
# print(json_data)
result = {}
# 处理入参
if 'app_key' in json_data:
if json_data['app_key'] != 'masweb_demo':
result['code'] = settings.CODE_ERROR
result['msg'] = settings.MSG_ERROR_PARSE + \
': app_key is {}.'.format(json_data['app_key'])
result['time'] = str(int(time.time()))
return jsonify(result)
else:
result['code'] = settings.CODE_ERROR
result['msg'] = settings.MSG_NO_PARSE + ': app_key'
result['time'] = str(int(time.time()))
return jsonify(result)
if 'func' in json_data:
for func in json_data['func']:
if json_data['func'] not in settings.FUNC_LIST:
print(func)
result['code'] = settings.CODE_ERROR
result['msg'] = settings.MSG_ERROR_PARSE + \
': {} in func'.format(json_data['func'])
result['time'] = str(int(time.time()))
return jsonify(result)
else:
result['code'] = settings.CODE_ERROR
result['msg'] = settings.MSG_NO_PARSE + ': func'
result['time'] = str(int(time.time()))
return jsonify(result)
news = json_data['body']['text']
print(type(news))
# 参数检测通过，则调用成功
result['code'] = settings.CODE_SUCCESS
result['msg'] = settings.MSG_SUCCESS
result['timestamp'] = str(int(time.time()))
result['body'] = {}
nlp = StanfordNER(news)
print(nlp)
# 根据func定义返回内容
if 'ner' in json_data['func']:
result['body']['ner'] = NER(nlp).ner
if 'event' in json_data['func']:
event = EventExtraction(news, nlp)
result['body']['event_extraction'] = event.event
if 'graph' in json_data['func']:
result['body']['graph'] = DataToGraph(event).graph
return jsonify(result)
def eventextraction():
''' 事件提取
'''
result = {}
result['code'] = 'OK'
result['msg'] = '调用成功'
result['timestamp'] = str(int(time.time()))
json_data = request.get_json()
news = json_data['body']['text']
event = EventExtraction(news)
result['body'] = {}
result['body']['graph'] = DataToGraph(event).graph
result['body']['event_extraction'] = event.event
return jsonify(result)
def eventextraction_v1():
''' 事件提取
'''
result = {}
result['code'] = 'OK'
result['msg'] = '调用成功'
result['timestamp'] = str(int(time.time()))
json_data = request.get_json()
news = json_data['text']
news_test = '11月6日凌晨0时28分，湖南省株洲市天元区神龙小区发生火灾，支队接到报警后，立即调集天元消防中队3台消防车赶赴现场扑救。0时35分，天元中队到达现场，经过侦查发现起火建筑有15层，起火位置在底部一层门面，过火面积约30多平方米，经过初步侦查现场无人员被困和死亡。指挥员立即下令出两支水枪从东面控制火势蔓延，并组织破拆小组对防盗窗进行破拆。0时56分，支队调集栗雨中队3台消防车赶赴增援，栗雨中队于1时08分到达现场，在现场负责进行供水，此时现场已经可以达到不间断供水，天元中队再增设一组人员从西面架设拉梯派遣攻坚组进行内攻。2点20分火灾被完全扑灭，栗雨中队撤离了火灾现场，天元中队在现场留了一台消防车留守现场，防止火灾复燃。目前，起火原因尚在调查中。'
nlp = StanfordNER(news)
event = EventExtraction(news, nlp)
result['body'] = {}
result['body']['graph'] = DataToGraph(event).graph
result['body']['event_extraction'] = event.event
result = event.event
# print(result)
print(event.event)
return jsonify(result)