/
scheduling.py
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/
scheduling.py
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import getpass
import os.path
import pandas as pd
from datetime import datetime
from datetime import date
import calendar
from Schedule import Schedule
from Request import Request
import FileManager as fm
import numpy as np
from random import random, randint
date_list = []
def main():
"""Main function"""
request_file = fm.get_files('Requests')
requests = fm.read_file('Requests', request_file[0])
requests = Request(request_file[0], requests)
requests_sort_by_tb = requests.request_sort_by_tb
# Outputs - Will probably be made into a separate function and saved for future use
print("-" * 100)
print("OVERVIEW OF REQUEST")
print("-" * 100)
# print(requests_sort_by_tb)
# write_request_repeat_to_excel(requests)
write_to_excel(requests)
'''
def get_required_shifts(requests: object, row_number):
required_shifts = requests.values[row_number-2][4]
return required_shifts
request.required_shifts
def get_expirment_number(requests: object, row_number):
exp_num = requests.values[row_number-2][0]
return exp_num
request.expirment_number
def sort_by_target_block(requests: object):
"""group by source then group by target type"""
requests_sort_by_tb = requests.request.sort_values(by=['Ion Source', 'Target'])
return requests_sort_by_tb
'''
def get_ts_tm():
combo = "west2_east4"
# combo = "west4_east2"
random_num = randint(0, 1)
if random_num == 0 and combo == "west2_east4":
ts = "West"
tm = 2
elif random_num == 1 and combo == "west2_east4":
ts = "East"
tm = 4
elif random_num == 0 and combo == "west4_east2":
ts = "West"
tm = 4
elif random_num == 1 and combo == "west4_east2":
ts = "East"
tm = 2
return ts,tm
def get_date(row_number):
# year_now = datetime.datetime.now().year
present = datetime.now()
date_21 = datetime(2021, 4, 5)
if row_number == 0 or row_number == 1 or row_number == 2:
string_2021 = "25/4/2021"
string_2022 = "25/4/2022"
string_2023 = "25/4/2023"
string_2024 = "25/4/2024"
string_2025 = "25/4/2025"
string_2026 = "25/4/2026"
string_2027 = "25/4/2027"
string_2028 = "25/4/2028"
string_2029 = "25/4/2029"
string_2030 = "25/4/2030"
date_2021 = datetime.strptime(string_2021, "%d/%m/%Y")
date_2022 = datetime.strptime(string_2022, "%d/%m/%Y")
date_2023 = datetime.strptime(string_2023, "%d/%m/%Y")
date_2024 = datetime.strptime(string_2024, "%d/%m/%Y")
date_2025 = datetime.strptime(string_2025, "%d/%m/%Y")
date_2026 = datetime.strptime(string_2026, "%d/%m/%Y")
date_2027 = datetime.strptime(string_2027, "%d/%m/%Y")
date_2028 = datetime.strptime(string_2028, "%d/%m/%Y")
date_2029 = datetime.strptime(string_2029, "%d/%m/%Y")
date_2030 = datetime.strptime(string_2030, "%d/%m/%Y")
if present < date_21:
date = str(datetime(2021, 4, 6))
date_list.append(date)
date_list.append(date)
date_list.append(date)
#date_list.append(date*3)
elif present.date() < date_2022():
date = datetime.datetime(2022, 4, 5)
date_list.append(date, date, date)
elif present.date() < date_2023():
date = datetime.datetime(2023, 4, 11)
date_list.append(date, date, date)
elif present.date() < date_2024():
date = datetime.datetime(2024, 4, 9)
date_list.append(date, date, date)
elif present.date() < date_2025():
date = datetime.datetime(2025, 4, 8)
date_list.append(date, date, date)
elif present.date() < date_2026():
date = datetime.datetime(2026, 4, 7)
date_list.append(date, date, date)
elif present.date() < date_2027():
date = datetime.datetime(2027, 4, 6)
date_list.append(date, date, date)
elif present.date() < date_2028():
date = datetime.datetime(2028, 4, 11)
date_list.append(date, date, date)
elif present.date() < date_2029():
date = datetime.datetime(2029, 4, 10)
date_list.append(date, date, date)
elif present.date() < date_2030():
date = datetime.datetime(2030, 4, 9)
date_list.append(date)
else:
previous_date = date_list[row_number-3]
date = pd.to_datetime(previous_date) + pd.DateOffset(days=1)
date_list.append(date)
date_list.append(date)
date_list.append(date)
return date
def add_shift():
df_shift_list = []
for i in range (546):
df_shift_list.append("DAY")
df_shift_list.append("EVE")
df_shift_list.append("OWL")
return df_shift_list
'''
df_shift_list = []
if row_number == 0:
shift_name = "DAY"
df_shift_list.append("DAY")
else:
df_shift_list = ["DAY"]
if df_shift_list[row_number-1] == "DAY":
df_shift_list.append("EVE")
shift_name = "EVE"
elif df_shift_list[row_number-1] == "EVE":
df_shift_list.append("OWL")
shift_name = "EVE"
elif df_shift_list[row_number-1] == "OWL":
df_shift_list.append("DAY")
shift_name = "EVE"
return shift_name
'''
def create_data_frame(requests):
"""Import values from excel file and creates a dataframe in python based on imported values"""
data_array = []
for i in range (545):
row = [get_date(i),add_shift()[i], '', '', '',
requests.expirment_number[i], requests.facilitie[i], '',
get_ts_tm()[0], requests.beam[i], '', requests.target_type[i],
requests.source[i], get_ts_tm()[1]]
data_array.append(row)
df = pd.DataFrame(data_array, columns = ['Date','Shift','Offine','current (uA)', 'Offline',
'Exp. #', 'Facility', 'Note', 'West / East', 'Beam',
'Energy (keV)', 'Tgt', 'Source', 'Mod'])
return df
def write_to_excel(requests):
df = create_data_frame(requests)
df.to_excel ("initial_schedule.xlsx", index = False, header=True)
def write_request_repeat_to_excel(requests):
df = requests.request_repeat
df.to_excel ("request repeat.xlsx", index = False, header=True)
if __name__ == "__main__":
main()