'''
# case 1
start_time = datetime(2016, 11, 3, 6, 0)
end_time = datetime(2016, 11, 8, 0, 0)
# case 2
# start_time = datetime(2016, 11, 7, 0, 0)
# end_time = datetime(2016, 11, 12, 0, 0)
# case 2 years
# start_time = datetime(2016, 1, 19, 14, 0)
# end_time = datetime(2017, 11, 15, 0, 0)
price_dict_new = read_price("price.csv")
job_dict_new = select_jobs(start_time, end_time,
read_job("jobInfoProd_ga_013.csv"))
failure_dict_new = read_maintenance("maintenanceInfluenceb4a4.csv",
price_dict_new)
raw_material_unit_price_dict = read_product_related_characteristics(
"productProd_ga_013.csv")
DNA_SIZE = len(job_dict_new)
waiting_jobs = [*job_dict_new]
if not waiting_jobs:
raise ValueError("No waiting jobs!")
else:
first_start_time = job_dict_new.get(
waiting_jobs[0])[1] # Find the start time of original schedule
# exit()
'''
# case 1
# start_time = datetime(2016, 11, 3, 6, 0)
# end_time = datetime(2016, 11, 8, 0, 0)
# case 2
# start_time = datetime(2016, 11, 7, 0, 0)
# end_time = datetime(2016, 11, 12, 0, 0)
# case 2 years
start_time = datetime(2016, 1, 19, 14, 0)
end_time = datetime(2017, 11, 15, 0, 0)
price_dict_new = read_price("price.csv")
job_dict_new = select_jobs(start_time, end_time, read_job("jobInfoProd_ga_013.csv"))
failure_dict_new = read_maintenance("maintenanceInfluenceb4a4.csv", price_dict_new)
raw_material_unit_price_dict = read_product_related_characteristics("productProd_ga_013.csv")
DNA_SIZE = len(job_dict_new)
waiting_jobs = [*job_dict_new]
# print(len(waiting_jobs))
if not waiting_jobs:
raise ValueError("No waiting jobs!")
else:
first_start_time = job_dict_new.get(waiting_jobs[0])[1] # Find the start time of original schedule
# exit()