Ross
294 lines
9.4 KiB
Python
294 lines
9.4 KiB
Python
from pyomo.environ import *
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from pyomo.opt import SolverFactory
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from shifts import SingleShift, RotaBuilder, RotaResults, days
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from workers import Worker
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from copy import deepcopy
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import math
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import scipy.stats as stats
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import statistics
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import datetime
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import itertools
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import operator
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weeks_to_rota = 26
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sites = ("truro", "exeter", "torquay", "barnstaple", "plymouth")
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Rota = RotaBuilder(datetime.date(2020, 9, 7),
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weeks_to_rota=weeks_to_rota,
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balance_offset_modifier=1)
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rota_collections = {
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"current": deepcopy(Rota),
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"extended proc nights only": deepcopy(Rota),
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"no weekends": deepcopy(Rota),
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"no twighlights": deepcopy(Rota),
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"no nights": deepcopy(Rota),
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"nights + proc twighlights + normal weekends": deepcopy(Rota),
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"nights + proc twighlights + proc weekends": deepcopy(Rota),
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}
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rota_collections['current'].add_shifts(
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SingleShift(("exeter", ), "exeter_twilight", 12.5, days[:5]),
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SingleShift(("truro", ), "truro_twilight", 12.5, days[:5]),
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SingleShift(("torquay", ), "torquay_twilight", 12.5, days[:5]),
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SingleShift(("plymouth", ), "plymouth_twilight", 12.5, days[:5]),
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SingleShift(("exeter", ),
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"weekend_exeter",
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12.5,
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days[5:],
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assign_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[5:],
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assign_as_block=True),
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SingleShift(("torquay", ),
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"weekend_torquay",
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12.5,
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days[5:],
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assign_as_block=True),
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SingleShift(("plymouth", ),
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"weekend_plymouth",
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8,
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days[5:],
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workers_required=2,
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assign_as_block=True),
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#SingleShift((sites), "night", 12.5, days, balance_weighting=1, workers_required=3, rota_on_nwds=True),
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SingleShift((sites),
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"night",
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12.25,
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days,
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balance_offset=2,
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balance_weighting=1,
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workers_required=3,
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rota_on_nwds=True),
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)
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rota_collections['extended proc nights only'].add_shifts(
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#SingleShift((sites), "night", 12.5, days, balance_weighting=1, workers_required=3, rota_on_nwds=True),
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SingleShift((sites),
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"night",
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13,
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days,
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balance_offset=2,
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balance_weighting=1,
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workers_required=3,
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rota_on_nwds=True), )
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rota_collections['no weekends'].add_shifts(
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SingleShift(("exeter", ), "exeter_twilight", 12.5, days[:5]),
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SingleShift(("truro", ), "truro_twilight", 12.5, days[:5]),
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SingleShift(("torquay", ), "torquay_twilight", 12.5, days[:5]),
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SingleShift(("plymouth", ), "plymouth_twilight", 12.5, days[:5]),
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#SingleShift((sites), "night", 12.5, days, balance_weighting=1, workers_required=3, rota_on_nwds=True),
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SingleShift((sites),
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"night",
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13,
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days,
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balance_offset=2,
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balance_weighting=1,
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workers_required=3,
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rota_on_nwds=True),
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)
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rota_collections['no twighlights'].add_shifts(
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SingleShift(("exeter", ),
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"weekend_exeter",
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12.5,
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days[5:],
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assign_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[5:],
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assign_as_block=True),
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SingleShift(("torquay", ),
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"weekend_torquay",
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12.5,
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days[5:],
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assign_as_block=True),
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SingleShift(("plymouth", ),
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"weekend_plymouth",
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8,
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days[5:],
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workers_required=2,
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assign_as_block=True),
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#SingleShift((sites), "night", 12.5, days, balance_weighting=1, workers_required=3, rota_on_nwds=True),
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SingleShift((sites),
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"night",
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13,
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days,
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balance_offset=2,
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balance_weighting=1,
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workers_required=3,
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rota_on_nwds=True),
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)
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rota_collections['no nights'].add_shifts(
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SingleShift(("exeter", ), "exeter_twilight", 12.5, days[:5]),
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SingleShift(("truro", ), "truro_twilight", 12.5, days[:5]),
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SingleShift(("torquay", ), "torquay_twilight", 12.5, days[:5]),
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SingleShift(("plymouth", ), "plymouth_twilight", 12.5, days[:5]),
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SingleShift(("exeter", ),
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"weekend_exeter",
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12.5,
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days[5:],
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assign_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[5:],
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assign_as_block=True),
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SingleShift(("torquay", ),
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"weekend_torquay",
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12.5,
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days[5:],
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assign_as_block=True),
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SingleShift(("plymouth", ),
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"weekend_plymouth",
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8,
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days[5:],
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workers_required=2,
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assign_as_block=True),
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#SingleShift((sites), "night", 12.5, days, balance_weighting=1, workers_required=3, rota_on_nwds=True),
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)
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rota_collections['nights + proc twighlights + normal weekends'].add_shifts(
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SingleShift((sites), "proc_twilight", 12.5, days[:5], workers_required=4),
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SingleShift(("exeter", ),
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"weekend_exeter",
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12.5,
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days[5:],
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assign_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[5:],
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assign_as_block=True),
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SingleShift(("torquay", ),
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"weekend_torquay",
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12.5,
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days[5:],
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assign_as_block=True),
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SingleShift(("plymouth", ),
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"weekend_plymouth",
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8,
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days[5:],
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workers_required=2,
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assign_as_block=True),
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#SingleShift((sites), "night", 12.5, days, balance_weighting=1, workers_required=3, rota_on_nwds=True),
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SingleShift((sites),
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"night",
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12.25,
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days,
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balance_offset=2,
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balance_weighting=1,
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workers_required=3,
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rota_on_nwds=True),
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)
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rota_collections['nights + proc twighlights + proc weekends'].add_shifts(
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SingleShift((sites),
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"proc_twilight_and_weekends",
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12.5,
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days,
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workers_required=3),
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#SingleShift((sites), "night", 12.5, days, balance_weighting=1, workers_required=3, rota_on_nwds=True),
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SingleShift((sites),
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"night",
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12.25,
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days,
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balance_offset=2,
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balance_weighting=1,
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workers_required=3,
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rota_on_nwds=True),
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)
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# Import trainee data
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import csv
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with open('trainees.csv', newline='') as f:
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reader = csv.reader(f, delimiter=',', quotechar='|')
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next(reader) # skip header
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n = 0
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for row in reader:
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n = n + 1
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#print(row)
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name, site, grade, fte, nwd, end_date, oop, extra = row
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# Ignore trainees if fte == 0 (what are they doing here anyway)
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if fte == 0:
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continue
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nwds = nwd.split(",").title() 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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#print(nwds, end_date, oop)
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for rot in rota_collections:
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rota_collections[rot].add_worker(
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Worker(Rota, n, name, site.lower(), int(grade[2]), int(fte),
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nwds, end_date, oop))
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with open("rotas.html", "w") as f:
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f.write("<html><body>")
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for rot in rota_collections:
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print("Running rota: ", rot)
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Rota = rota_collections[rot]
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Rota.build_shifts_and_workers()
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Rota.build_model()
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opt = SolverFactory('cbc') # choose a solver
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#opt = SolverFactory('ipopt') # choose a solver
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results = opt.solve(
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Rota.model, tee=True, options={
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"seconds": 1200,
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"allow": 3500
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}) # solve the model with the, options="seconds=60" selected solver
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results.solver.status
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ResultsHolder = RotaResults(Rota, results)
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week_table = ResultsHolder.get_work_table(
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) # 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)
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worker_shift_summary = ResultsHolder.get_shift_summary()
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ResultsHolder.export_rota_to_csv("rotas/" + rot)
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with open("rotas.html", "a") as f:
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f.write("----------------------------")
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f.write("<h2>{}</h2>".format(rot))
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f.write("----------------------------")
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f.write("\n\n")
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for s in Rota.shifts:
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f.write("<pre>{}</pre>".format(s.get_shift_summary()))
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f.write("\n")
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f.write("\n\n")
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f.write("<pre>{}</pre>".format(worker_timetable_brief))
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f.write("\n\n")
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f.write("<pre>{}</pre>".format(worker_shift_summary))
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f.write("\n\n\n")
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#workers_no_pref = ResultsHolder.get_no_preference(Rota.model.no_pref) # list with the non-satisfied workers (work on Sat but not on Sun)
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worker_night_block = ResultsHolder.get_night_blocks()
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multi = ResultsHolder.get_multinight()
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#break
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with open("rotas.html", "a") as f:
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f.write("</body></html>") |