def __init__(self, input_dir, output_dir):
self.input_dir = input_dir
self.output_dir = output_dir
Utils.clean_output(self.output_dir)
self.read_data()
def __init__(self, input_dir, output_dir):
self.input_dir = input_dir
self.output_dir = output_dir
from commit_utils import Utils
Utils.clean_output(self.output_dir)
self.read_data()
def main():
staar_filter = join('..', "3_staar_filtered")
staar_merged = join('..', "4_staar_merged")
# clean output directory
from commit_utils import Utils
Utils.clean_output(staar_merged)
for item_dir in listdir(staar_filter):
input_dir = join(staar_filter, item_dir)
# output_dir = join(staar_merged, item_dir)
output_dir = staar_merged
StaarMergeAll(input_dir, output_dir)
print("Finished")
def Process(self):
print ("Processing started")
print(self.data_dir_district)
if not exists(self.data_dir_district):
print ("\t Data Directory District Does Not Exist")
exit()
elif not exists(self.data_dir_state):
print ("\t Data Directory State Does Not Exist")
exit()
else:
data_frames = list()
# List directory containing the .csv files
for district_item in listdir(self.data_dir_district):
# Check only .csv files
if (splitext(district_item)[1] == ".csv"
and "_district_reference" not in district_item
and "_district_finance" not in district_item):
district_file_path = join(self.data_dir_district,
district_item)
district_filename = splitext(district_item)[0]
# Find proper state file
state_file_path = Utils.find_proper_state_file_2(
district_filename, self.data_dir_state)
if state_file_path is not None:
data_frame_output = self.ConcatenateFiles(
district_file_path,
state_file_path)
self.WriteData(data_frame_output, district_item)
def __init__(self):
Utils.clean_output(AddStateRow.data_dir_output)
self.Process()
