def test_data_input_affect_groups():
path = "input"
file = "exemple_v2.0.xlsx"
conf = data_conf.DataConf("conf")
data = data_input.Data(path, file)
output = data.affect_groups(conf)
assert output.empty is False
print(output)
def test_DataConf_get_group():
dataConf = data_conf.DataConf("conf")
dataframe = "imc_filles"
dataConf.get_group(12, dataframe, 15.1)
assert dataConf.get_group(12, dataframe, 10) == "INF-IOTF17"
assert dataConf.get_group(24, dataframe, 15) == "IOTF17-IOTF25"
assert dataConf.get_group(72, dataframe, 18) == "IOTF25-IOTF30"
assert dataConf.get_group(48, dataframe, 25) == "IOTF30-SUP"
assert dataConf.get_group(49, dataframe, 25) == "ERR_AGE_VALUE"
def test_DataConf_iter():
# print("\n\n##############")
# print("TEST : {}".format(inspect.currentframe().f_code.co_name))
# print("-------------")
dataConf_instance = data_conf.DataConf("conf")
for dataframe_name in dataConf_instance:
# print(dataframe_name)
assert any(dataframe_name)
assert dataConf_instance[dataframe_name].empty is False
def test_DataConf_approx_age():
dataConf = data_conf.DataConf("conf").load()
setName = "imc_filles"
age_approx = dataConf.approx_age(18, setName)
assert age_approx == 12
age_approx = dataConf.approx_age(12, setName)
assert age_approx == 12
age_approx = dataConf.approx_age(19, setName)
assert age_approx == 24
def test_DataConf_load():
dataConf = data_conf.DataConf("conf").load()
setName = "imc_filles"
dataSet = dataConf[setName]
# print(type(dataSet))
#
# print("\n\n##############")
# print("TEST : {}".format(inspect.currentframe().f_code.co_name))
# print("-------------")
# print("DATACONF :")
# print(dataConf)
# print("DATASET : {}".format(setName))
# print(dataSet)
# print("##############")
assert any(dataSet)
assert type(dataSet) is pandas.core.frame.DataFrame
assert dataSet.empty is False
import lib.data_input as data_input
import lib.data_conf as data_conf
path = "input"
file = "exemple_v2.0.xls"
conf = data_conf.DataConf("conf")
if __name__ == "__main__":
data = data_input.Data(path, file)
data_with_groups = data.affect_groups(conf)
data_with_groups.to_excel("output_{}".format(file), index=False)
def test_DataConf_getitem():
dataConf_instance = data_conf.DataConf("conf")
setName = "imc_filles"
dataSet = dataConf_instance[setName]
assert any(dataSet)
assert type(dataSet) is pandas.core.frame.DataFrame
def test_DataConf_init():
dataConf_instance = data_conf.DataConf("conf")
assert isinstance(dataConf_instance, data_conf.DataConf)