def __init__(self, dataSet, idDataSet):
self.dataSet = dataSet
self.idDataSet = idDataSet
self.listFeatures = []#lista de las caracteristicas...
#instancias a la base de datos...
self.connect = ConnectDataBase.ConnectDataBase()
self.handler = HandlerQuery.HandlerQuery()
def __init__(self):
#hacemos las instancias de conexion y handler de la bd
self.connect = ConnectDataBase.ConnectDataBase()
self.handler = HandlerQuery.HandlerQuery()
from modulesProject.clustering_analysis import callService
from modulesProject.dataBase_module import ConnectDataBase
from modulesProject.dataBase_module import HandlerQuery
import sys
import pandas as pd
#recibimos los datos de entrada...
dataSet = pd.read_csv(sys.argv[1])
job = sys.argv[2]
user = sys.argv[3]
pathResponse = sys.argv[4]
optionNormalize = int(sys.argv[5])
#instancia al objeto
callServiceObject = callService.serviceClustering(dataSet, job, user,
pathResponse,
optionNormalize)
callServiceObject.execProcess()
#cambiamos el estado al job
connectDB = ConnectDataBase.ConnectDataBase()
handler = HandlerQuery.HandlerQuery()
#hacemos la consulta
query = "update job set job.statusJob = 'FINISH', job.modifiedJob= NOW() where job.idjob=%s" % job
connectDB.initConnectionDB()
handler.insertToTable(query, connectDB)
connectDB.closeConnectionDB()
def __init__(self, dataSet, idDataSet):
self.dataSet = pd.read_csv(dataSet)
self.idDataSet = idDataSet
self.connect = ConnectDataBase.ConnectDataBase()
self.handler = HandlerQuery.HandlerQuery()