Ross
331 lines
9.8 KiB
Python
331 lines
9.8 KiB
Python
from pyomo.environ import *
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from pyomo.opt import SolverFactory
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from pyomo.opt.results import SolverStatus
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from shifts import SingleShift, RotaBuilder, RotaResults, days
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from workers import Worker
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import datetime
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import sys
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use_neos = False
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use_cplex = False
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solve = True
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weeks_to_rota = 13
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time_to_run = 28500
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#allow = 5000
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ratio = 0.5
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use_live_rota = False
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sites = ("truro", "exeter", "torbay", "barnstaple", "plymouth")
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Rota = RotaBuilder(datetime.date(2021, 9, 6),
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#Rota = RotaBuilder(datetime.date(2021, 11, 8),
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weeks_to_rota=weeks_to_rota,
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balance_offset_modifier=2,
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max_weekend_frequency=2,
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max_night_frequency=2)
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Rota.constraint_options["limit_to_1_st2_on_nights"] = True
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Rota.constraint_options["ensure_1_st4_plus_on_nights"] = True
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Rota.constraint_options["balance_nights"] = True
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Rota.constraint_options["constrain_time_off_after_nights"] = True
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Rota.constraint_options["balance_nights_across_sites"] = True
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Rota.constraint_options["balance_blocks"] = True
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Rota.constraint_options["balance_weekends"] = True
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Rota.constraint_options["balance_bank_holidays"] = True
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Rota.constraint_options["avoid_st2_first_month"] = True
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Rota.constraint_options["max_weekends"] = 20
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Rota.constraint_options["prevent_monday_and_tuesday_after_full_weekends"] = [
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"truro", "torbay", "exeter"
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]
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Rota.constraint_options["prevent_monday_after_full_weekends"] = ["plymouth"]
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Rota.constraint_options["prevent_fridays_before_full_weekends"] = ["plymouth"]
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Rota.constraint_options["prevent_thursdays_before_full_weekends"] = [
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"truro", "torbay", "exeter"
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]
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Rota.add_shifts(
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SingleShift(("exeter", ), "exeter_twilight", 12.5, days[:4]),
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SingleShift(("truro", ), "truro_twilight", 12.5, days[:4]),
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SingleShift(("torbay", ),
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"torbay_twilight",
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12.5,
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days[:4],
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balance_offset=3,
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assign_as_block=True),
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SingleShift(("plymouth", ),
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"plymouth_twilight",
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12.5,
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days[:5],
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balance_offset=3,
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workers_required=1,
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constraints=["max_2_consecutive_shifts_per_week"]),
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SingleShift(("exeter", ),
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"weekend_exeter",
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12.5,
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days[4:],
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balance_offset=3,
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rota_on_nwds=True,
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force_as_block=True),
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SingleShift(("truro", ),
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"weekend_truro",
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12.5,
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days[4:],
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balance_offset=3,
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rota_on_nwds=True,
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force_as_block=True),
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SingleShift(("torbay", ),
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"weekend_torbay",
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12.5,
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days[4:],
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balance_offset=3,
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rota_on_nwds=True,
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force_as_block=True),
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SingleShift(("plymouth", ),
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"weekend_plymouth1",
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8,
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days[5:],
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balance_offset=3,
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workers_required=1,
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rota_on_nwds=True,
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force_as_block=True),
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SingleShift(("plymouth", ),
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"weekend_plymouth2",
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8,
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days[5:],
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balance_offset=3,
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workers_required=1,
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rota_on_nwds=True,
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force_as_block=True),
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SingleShift(
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(sites),
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"night_weekday",
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12.25,
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days[:4],
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balance_offset=3,
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balance_weighting=1,
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#hard_constrain_shift=False,
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workers_required=3,
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force_as_block=False,
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rota_on_nwds=True,
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constraints=["night"]),
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SingleShift(
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(sites),
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"night_weekend",
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12.25,
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days[4:],
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balance_offset=3,
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balance_weighting=1,
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#hard_constrain_shift=False,
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workers_required=3,
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force_as_block=False,
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rota_on_nwds=True,
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constraints=["night"]),
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)
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use_test_workers = False
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load_leave = True
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Rota.build_shifts_and_workers()
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if load_leave:
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import leave
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workers = leave.load_leave(Rota, use_live_rota)
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# Import trainee data
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if use_test_workers:
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# Rota.add_workers([
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# Worker(Rota,
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# i,
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# "Truro {}".format(i),
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# "truro",
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# 3,
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# nwd=['Fri', "Sat", "Sun"]) for i in range(1, 2)
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# ])
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Rota.add_workers([
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Worker(
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Rota,
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i,
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"Truro {}".format(i),
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"truro",
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4,
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) for i in range(1, 9)
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])
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Rota.add_workers([
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Worker(Rota, i, "Plym {}".format(i), "plymouth", 4, 50)
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for i in range(9, 17)
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])
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Rota.add_workers([
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Worker(Rota,
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i,
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"Plym {}".format(i),
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"plymouth",
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4,
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80,
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end_date="2020/10/05") for i in range(17, 19)
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])
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# Rota.add_workers([
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# Worker(
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# Rota,
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# i,
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# "Exe {}".format(i),
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# "exeter",
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# 4,
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# ) for i in range(20, 25)
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# ])
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# Rota.add_workers([
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# Worker(
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# Rota,
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# i,
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# "Torq {}".format(i),
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# "torbay",
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# 2,
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# 50,
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# ) for i in range(25, 29)
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# ])
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else:
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n = 0
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for worker in workers:
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n = n + 1
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name = worker
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w = workers[worker]
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site = w["site"]
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grade = w["grade"]
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fte = w["fte"]
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nwd = w["nwd"]
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end_date = w["end_date"]
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oop = w["oop"]
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grade = w["grade"]
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#name, site, grade, fte, nwd, end_date, oop, twi, twi_we, night, night_we, pw1, pw2, extra = row
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# Ignore trainees if fte == 0 (what are they doing here anyway)
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if fte == 0 or fte == "0" or fte == "":
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continue
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nwds = [i.strip()[:3].capitalize() for i in nwd.split("/")] if nwd else None
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end_date = end_date if end_date else None
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oop = oop.split("-") if oop else None
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previous_shifts = {}
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#if twi:
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# worked = twi.split(" ")[0]
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# allocated = twi.split(" ")[1][1:-1]
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# previous_shifts["{}_twilight".format(site.lower())] = (worked, allocated)
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#if twi_we:
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# worked = twi_we.split(" ")[0]
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# allocated = twi_we.split(" ")[1][1:-1]
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# previous_shifts["weekend_{}".format(site.lower())] = (worked, allocated)
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#if night:
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# worked = night.split(" ")[0]
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# allocated = night.split(" ")[1][1:-1]
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# previous_shifts["night_weekday".format(site.lower())] = (worked, allocated)
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#if night_we:
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# worked = night_we.split(" ")[0]
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# allocated = night_we.split(" ")[1][1:-1]
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# previous_shifts["night_weekend".format(site.lower())] = (worked, allocated)
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#if pw1:
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# worked = pw1.split(" ")[0]
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# allocated = pw1.split(" ")[1][1:-1]
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# previous_shifts["weekend_plymouth1"] = (worked, allocated)
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#if pw2:
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# worked = pw2.split(" ")[0]
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# allocated = pw2.split(" ")[1][1:-1]
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# previous_shifts["weekend_plymouth2"] = (worked, allocated)
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leave_requests = w["leave"]
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work_requests = w["requests"]
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site_pref = w["site_pref"]
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Rota.add_worker(
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Worker(Rota,
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n,
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name,
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site.lower(),
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int(grade[2]),
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float(fte),
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nwds,
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end_date,
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oop,
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not_available_to_work=leave_requests,
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work_requests=work_requests,
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proc_site=site_pref,
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previous_shifts=previous_shifts))
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print("Building model")
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Rota.build_shifts_and_workers()
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Rota.build_model()
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print(Rota.get_worker_details())
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if not solve:
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sys.exit(0)
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#print(Rota.get_worker_details())
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print("Setting up solver")
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if use_cplex:
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opt = SolverFactory('cplex')
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else:
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opt = SolverFactory('cbc') # choose a solver
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#opt = SolverFactory('ipopt') # choose a solver
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#opt.options['allow'] = allow
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opt.options['ratio'] = ratio
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opt.options['seconds'] = time_to_run
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print("Solving")
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if use_neos:
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solver_manager = SolverManagerFactory('neos') # Solve in neos server
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#results = solver_manager.solve(Rota.model, opt=opt, logfile="test.log")
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results = solver_manager.solve(Rota.model, keepfiles=True, tee=True, opt=opt, logfile="test.log")
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else:
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results = opt.solve(
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Rota.model,
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tee=True,
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options={
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"seconds": time_to_run,
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#"allow": allow,
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"ratio": ratio,
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"threads": 10,
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},
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logfile="test.log"
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) # solve the model with the, options="seconds=60" selected solver
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print(results)
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results.solver.status
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if not results.solver.status:
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sys.exit(0)
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# optimizer = SolverFactory('cbc')
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# result = optimizer.solve(prob,tee=True)
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# result.Solver.Status = SolverStatus.warning
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# prob.solutions.load_from(result)
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ResultsHolder = RotaResults(Rota, results)
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week_table = ResultsHolder.get_work_table() # list with the required workers
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worker_timetable = ResultsHolder.get_worker_timetable()
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worker_timetable_brief = ResultsHolder.get_worker_timetable_brief(
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show_prefs=False, show_unavailable=False)
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#print(worker_timetable_brief)
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#print(Rota.get_workers_total_fte())
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ResultsHolder.get_weekend_details()
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#ResultsHolder.get_night_details()
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with open("test.html", "w") as f:
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f.write(ResultsHolder.get_worker_timetable_html(True))
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ResultsHolder.export_rota_to_csv("rota") |