def generalized_main():
FileManager = FileManagement()
FileConsider = FileConsiderations()
ZIPMetrics = GeneralMedianVals()
DATEMetrics = GeneralMedianVals()
input_file = sys.argv[1]
output_path = sys.argv[2]
report = FileManager.file_input(input_file)
for line in report:
FileConsider.set_flags(line)
if FileConsider.check_flags() == False:
continue
elif FileConsider.check_flags() == "consider_for_zip":
ZIPMetrics.medianvals(line, line[0], line[10][0:5])
ZIPMetrics.update_median_out(line[0], line[10][0:5])
continue
elif FileConsider.check_flags() == "consider_for_date":
DATEMetrics.medianvals(line, line[0], line[13])
continue
elif FileConsider.check_flags() == "consider_for_zipdate":
ZIPMetrics.medianvals(line, line[0], line[10][0:5])
ZIPMetrics.update_median_out(line[0], line[10][0:5])
DATEMetrics.medianvals(line, line[0], line[13])
continue
FileManager.file_output(outputpath=output_path,
outputname="medianvals_by_zip.txt",
data=ZIPMetrics.median_out)
DATEMetrics.calculate_medianvals()
FileManager.file_output(outputpath=output_path,
outputname="medianvals_by_date.txt",
data=DATEMetrics.median_out)
def main():
FileManager = FileManagement()
FileConsider = FileConsiderations()
Metrics = MedianVals()
input_file = sys.argv[1]
output_path = sys.argv[2]
#report = FileManager.file_input(input_file)
report = (line.strip().split("|") for line in open(input_file, 'r'))
for line in report:
FileConsider.set_flags(line)
if FileConsider.check_flags() == False:
continue
elif FileConsider.check_flags() == "consider_for_zip":
Metrics.medianvals_by_zip(line)
continue
elif FileConsider.check_flags() == "consider_for_date":
Metrics.medianvals_by_date(line)
continue
elif FileConsider.check_flags() == "consider_for_zipdate":
Metrics.medianvals_by_zip(line)
Metrics.medianvals_by_date(line)
continue
# for line in report:
# FileConsider.set_flags(line)
# if FileConsider.check_flags() == False:
# continue
# elif FileConsider.check_flags() == "consider_for_zip":
# Metrics.medianvals_by_zip(line)
# continue
# elif FileConsider.check_flags() == "consider_for_date":
# Metrics.medianvals_by_date(line)
# continue
# elif FileConsider.check_flags() == "consider_for_zipdate":
# Metrics.medianvals_by_zip(line)
# Metrics.medianvals_by_date(line)
# continue
FileManager.file_output(outputpath=output_path,
outputname="medianvals_by_zip.txt",
data=Metrics.medianzip_out)
Metrics.calculate_medianvals_by_date()
FileManager.file_output(outputpath=output_path,
outputname="medianvals_by_date.txt",
data=Metrics.mediandate_out)
def main():
FileManager = FileManagement()
FileConsider = FileConsiderations()
Metrics = MedianVals()
input_file = sys.argv[1]
output_path = sys.argv[2]
#input_file = input_path
#input_file = input_path + "itcont.txt"
report = FileManager.file_input(input_file)
#count = 0
#loop_time = time.time()
for line in report:
#if count % 1000 == 0:
# print(str(count)+"th line, time per 1000 lines = ---- %s seconds ----" %(time.time() - loop_time))
# loop_time = time.time()
#count += 1
FileConsider.set_flags(line)
if FileConsider.check_flags() == False:
continue
elif FileConsider.check_flags() == "consider_for_zip":
Metrics.medianvals_by_zip(line)
continue
elif FileConsider.check_flags() == "consider_for_date":
Metrics.medianvals_by_date(line)
continue
elif FileConsider.check_flags() == "consider_for_zipdate":
Metrics.medianvals_by_zip(line)
Metrics.medianvals_by_date(line)
continue
#print('writing zips')
FileManager.file_output(outputpath=output_path,
outputname="medianvals_by_zip.txt",
data=Metrics.medianzip_out)
#print('calculating dates')
#calculate_time = time.time()
Metrics.calculate_medianvals_by_date()
#print("time to calculate medianvals_by_date = ----------- %s seconds ------------" % (time.time() - calculate_time))
#print('writing dates')
FileManager.file_output(outputpath=output_path,
outputname="medianvals_by_date.txt",
data=Metrics.mediandate_out)