def testar(self):
self.paramentrosIN_carregados = dict()
self.paramentrosIN_carregados["ETa"] = SerialTemporalFiles(root_path="C:\\Users\\Paloschi\\Desktop\\Tudo_Necessario\\6-Eta")
self.paramentrosIN_carregados["ETa"].prefixo = "eta_"
self.paramentrosIN_carregados["ETa"].date_mask = "%Y-%m-%d"
self.paramentrosIN_carregados["ETa"].multply_factor = 0.01
self.paramentrosIN_carregados["ETc"] = SerialTemporalFiles(root_path="C:\\Users\\Paloschi\\Desktop\\Tudo_Necessario\\3-ETc")
self.paramentrosIN_carregados["ETc"].prefixo = "etc_"
self.paramentrosIN_carregados["ETc"].date_mask = "%Y-%m-%d"
self.paramentrosIN_carregados["ETc"].multply_factor = 0.01
self.paramentrosIN_carregados["Ky"] = 0.8
self.paramentrosIN_carregados["Yx"] = SerialTemporalFiles(root_path="C:\\Users\\Paloschi\\Desktop\\Tudo_Necessario\\5-PPR(Yx)")
self.paramentrosIN_carregados["Yx"].prefixo = "ppr_"
self.paramentrosIN_carregados["Yx"].date_mask = "%Y-%m-%d"
self.paramentrosIN_carregados["Yx"].multply_factor = 1
self.paramentrosIN_carregados["Ya"] = SerialTemporalFiles(root_path="C:\\Users\\Paloschi\\Desktop\\Tudo_Necessario\\7-Ya")
self.paramentrosIN_carregados["Ya"].prefixo = "Ya_"
self.paramentrosIN_carregados["Ya"].date_mask = "%Y-%m-%d"
self.paramentrosIN_carregados["Ya"].multply_factor = 100
self.paramentrosIN_carregados["Kc"] = SerialTemporalFiles(root_path="C:\\Users\\Paloschi\\Desktop\\Tudo_Necessario\\2-Kc")
self.paramentrosIN_carregados["Kc"].date_mask = "%Y-%m-%d"
self.__execOperation__()
self.dias_decend = (data_img_1 - data_img).days
break
elif data_img < data and data_img_1 > data:
img_correspondente = serie_temporal[i_img]
self.dias_decend = (data_img_1 - data_img).days
if img_correspondente == None: img_correspondente = serie_temporal[-1]
return img_correspondente
if __name__ == '__main__':
from Modelo.beans import SerialTemporalFiles
serie_Kc = SerialTemporalFiles(
root_path=
"E:\\Gafanhoto WorkSpace\\Soja11_12\\Indices_BH\\Kc_distribuido\\soltas"
)
serie_Kc.mutiply_factor = 0.01
serie_Kc.date_mask = "%Y-%m-%d"
serie_ET0 = SerialTemporalFiles(
root_path=
"E:\\Gafanhoto WorkSpace\\Soja11_12\\Tratamento de dados\\ECMWF\\8-Diario\\EVPT 07-11 _ 05-12"
)
serie_ET0.mutiply_factor = 0.01
serie_ET0.sufixo = "evpt_diario_"
serie_ET0.date_mask = "%Y-%m-%d"
serie_ETC = SerialTemporalFiles(
root_path="E:\\Gafanhoto WorkSpace\\Soja11_12\\Indices_BH\\ETc\\soltas"
)
if data_img == data :
img_correspondente = serie_temporal[i_img]
self.dias_decend = (data_img_1 - data_img).days
break
elif data_img < data and data_img_1 > data:
img_correspondente = serie_temporal[i_img]
self.dias_decend = (data_img_1 - data_img).days
if img_correspondente == None : img_correspondente = serie_temporal[-1]
return img_correspondente
if __name__ == '__main__':
from Modelo.beans import SerialTemporalFiles
serie_Kc = SerialTemporalFiles(root_path="E:\\Gafanhoto WorkSpace\\Soja11_12\\Indices_BH\\Kc_distribuido\\soltas")
serie_Kc.mutiply_factor = 0.01
serie_Kc.date_mask = "%Y-%m-%d"
serie_ET0 = SerialTemporalFiles(root_path="E:\\Gafanhoto WorkSpace\\Soja11_12\\Tratamento de dados\\ECMWF\\7-Cortado_tamanho_Modis\\EVPT")
serie_ET0.sufixo = "evpt_"
serie_ET0.date_mask = "%Y%m%d"
serie_ETC = SerialTemporalFiles(root_path="E:\\Gafanhoto WorkSpace\\Soja11_12\\Indices_BH\\ETc")
serie_ETC.sufixo = "ETc_"
serie_ETC.date_mask = "%Y-%m-%d"
paramIN = dict()
paramIN["ET0"] = serie_ET0
paramIN["ETc"] = serie_ETC
paramIN["Kc"] = serie_Kc
self.dias_decend = (data_img_1 - data_img).days
break
elif data_img < data and data_img_1 > data:
img_correspondente = serie_temporal[i_img]
self.dias_decend = (data_img_1 - data_img).days
if img_correspondente == None: img_correspondente = serie_temporal[-1]
return img_correspondente
if __name__ == '__main__':
from Modelo.beans import SerialTemporalFiles
serie_Kc = SerialTemporalFiles(
root_path=
"E:\\Gafanhoto WorkSpace\\Soja11_12\\Indices_BH\\Kc_distribuido\\soltas"
)
serie_Kc.mutiply_factor = 0.01
serie_Kc.date_mask = "%Y-%m-%d"
serie_ET0 = SerialTemporalFiles(
root_path=
"E:\\Gafanhoto WorkSpace\\Soja11_12\\Tratamento de dados\\ECMWF\\7-Cortado_tamanho_Modis\\EVPT"
)
serie_ET0.sufixo = "evpt_"
serie_ET0.date_mask = "%Y%m%d"
serie_ETC = SerialTemporalFiles(
root_path="E:\\Gafanhoto WorkSpace\\Soja11_12\\Indices_BH\\ETc")
serie_ETC.sufixo = "ETc_"
serie_ETC.date_mask = "%Y-%m-%d"
if data_img == data :
img_correspondente = serie_temporal[i_img]
self.dias_decend = (data_img_1 - data_img).days
break
elif data_img < data and data_img_1 > data:
img_correspondente = serie_temporal[i_img]
self.dias_decend = (data_img_1 - data_img).days
if img_correspondente == None : img_correspondente = serie_temporal[-1]
return img_correspondente
if __name__ == '__main__':
from Modelo.beans import SerialTemporalFiles
serie_Kc = SerialTemporalFiles(root_path="E:\\Gafanhoto WorkSpace\\Soja11_12\\Indices_BH\\Kc_distribuido\\soltas")
serie_Kc.mutiply_factor = 0.01
serie_Kc.date_mask = "%Y-%m-%d"
serie_ET0 = SerialTemporalFiles(root_path="E:\\Gafanhoto WorkSpace\\Soja11_12\\Tratamento de dados\\ECMWF\\8-Diario\\EVPT 07-11 _ 05-12")
serie_ET0.mutiply_factor = 0.01
serie_ET0.sufixo = "evpt_diario_"
serie_ET0.date_mask = "%Y-%m-%d"
serie_ETC = SerialTemporalFiles(root_path="E:\\Gafanhoto WorkSpace\\Soja11_12\\Indices_BH\\ETc\\soltas")
serie_ETC.mutiply_factor = 100
serie_ETC.out_datatype = "int16"
serie_ETC.sufixo = "ETc_"
serie_ETC.date_mask = "%Y-%m-%d"
paramIN = dict()
