def getEmotionEmpployee(data):
employee_alias = request.args.get('alias', '').split(",")[0]
#num_samples = int(request.args.get('num_samples', '').split(",")[0] or '50')
initial_time = datetime.datetime.fromtimestamp(
float(request.args.get('initial_time', '').split(",")[0]))
final_time = datetime.datetime.fromtimestamp(
float(request.args.get('final_time', '').split(",")[0]))
daoEmployeeStatus = employeeStatusDao.EmployeeDAOImpl()
daoEmployeeStatus.createsession(ip_cassandra)
daoEmployeeStatus.setlogger()
daoEmployeeStatus.loadkeyspace(keyspace)
emotion_list = daoEmployeeStatus.select_some_emotion_inRange(
employee_alias, initial_time, final_time, -1)
emotion_2_send = []
for row in emotion_list:
emotion_2_send.append({"date": row[0], "emotion": row[1]})
return jsonify(emotion_2_send)
import os
import sys
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
import NewsCore.dao.EmployeeDAOImpl as dao
import KAFKA.Consumer as consumer
import settings as settings
if __name__ == "__main__":
#variables
ip_DCOS_cassandra = settings.ip_DCOS_cassandra
keyspace = settings.keyspace_cassandra
topic = 'cyberops_arousal'
field2Extract = "arousal"
#loading of the cassandra seesion, creatiopn of table (if needded)
daoStatus = dao.EmployeeDAOImpl()
daoStatus.createsession(ip_DCOS_cassandra)
daoStatus.setlogger()
daoStatus.loadkeyspace(keyspace)
daoStatus.create_table() #only if table is not created previously
#run consumer for emotions:
consumer_emotion = consumer.Consumer(topic=topic,
field2Extract=field2Extract,
DAO=daoStatus,
ip_kafka_DCOS=settings.ip_kafka_DCOS)
consumer_emotion.run()