def __allocate_timeslot__(self, constraint_level, yesterday_profile, current_timeslot, holidays):
if ConstraintStrategy.contains(ConstraintStrategy.ALLOCATE_MORNING_DIALYSIS.value, constraint_level):
if current_timeslot == TimeSlot.FIRST_SHIFT and yesterday_profile is not None and TimeSlot.THIRD_SHIFT in yesterday_profile:
yesterday_obligations = list(set(self.obligation_activities) & set([x for x in yesterday_profile[TimeSlot.THIRD_SHIFT]]))
if len(yesterday_obligations) == 1 and yesterday_profile[TimeSlot.THIRD_SHIFT][yesterday_obligations[0]] is not None:
today_activities = list(set([Activity.DIALYSIS] + self.obligation_activities) & set([x for x in self.profile[current_timeslot]]))
if len(today_activities) == 1:
self.__slot__(current_timeslot, today_activities[0], yesterday_profile[TimeSlot.THIRD_SHIFT][yesterday_obligations[0]])
# problem.addConstraint(lambda nep, act: act in [Activity.DIALYSIS] + obligation_activities and nep.id == yesterday_profile[TimeSlot.THIRD_SHIFT][yesterday_obligations[0]].id, (self.nephrologist_key, self.activity_key))
else:
current_team, problem = self.__team_problem__(current_timeslot, holidays)
if problem is not None:
if ConstraintStrategy.contains(ConstraintStrategy.FOCUS_ON_PREFERENCES.value, constraint_level):
problem.addConstraint(lambda nep, act: nep.score(self.weekday, current_timeslot, act) > 0, (self.nephrologist_key, self.activity_key))
else:
# avoid strict equality to take into account that more than one nephrologist could have the same preference...
problem.addConstraint(lambda nep, act: nep.score(self.weekday, current_timeslot, act) >= 0, (self.nephrologist_key, self.activity_key))
if not ConstraintStrategy.contains(ConstraintStrategy.DISCARD_COUNTERS.value, constraint_level):
problem.addConstraint(lambda nep, act: self.__is_most_rested_nephrologist__(current_team, nep, act), (self.nephrologist_key, self.activity_key))
pass
solutions = problem.getSolutions()
for solution in solutions:
if solution[self.nephrologist_key].id not in self.__currently_allocated_nephrologists__(current_timeslot):
if self.__slot__(current_timeslot, solution[self.activity_key], solution[self.nephrologist_key]):
self.__allocate_timeslot__(constraint_level, yesterday_profile, current_timeslot, holidays)
def __allocate_timeslot__(self, constraint_level, yesterday_profile,
current_timeslot, holidays):
if ConstraintStrategy.contains(
ConstraintStrategy.ALLOCATE_MORNING_DIALYSIS.value,
constraint_level):
if current_timeslot == TimeSlot.FIRST_SHIFT and yesterday_profile is not None and TimeSlot.THIRD_SHIFT in yesterday_profile:
yesterday_obligations = list(
set(self.obligation_activities)
& set([x
for x in yesterday_profile[TimeSlot.THIRD_SHIFT]]))
if len(yesterday_obligations) == 1 and yesterday_profile[
TimeSlot.THIRD_SHIFT][
yesterday_obligations[0]] is not None:
today_activities = list(
set([Activity.DIALYSIS] + self.obligation_activities)
& set([x for x in self.profile[current_timeslot]]))
if len(today_activities) == 1:
self.__slot__(
current_timeslot, today_activities[0],
yesterday_profile[TimeSlot.THIRD_SHIFT][
yesterday_obligations[0]])
# problem.addConstraint(lambda nep, act: act in [Activity.DIALYSIS] + obligation_activities and nep.id == yesterday_profile[TimeSlot.THIRD_SHIFT][yesterday_obligations[0]].id, (self.nephrologist_key, self.activity_key))
else:
current_team, problem = self.__team_problem__(
current_timeslot, holidays)
if problem is not None:
if ConstraintStrategy.contains(
ConstraintStrategy.FOCUS_ON_PREFERENCES.value,
constraint_level):
problem.addConstraint(
lambda nep, act: nep.score(self.weekday,
current_timeslot, act) > 0,
(self.nephrologist_key, self.activity_key))
else:
# avoid strict equality to take into account that more than one nephrologist could have the same preference...
problem.addConstraint(
lambda nep, act: nep.score(self.weekday,
current_timeslot, act) >= 0,
(self.nephrologist_key, self.activity_key))
if not ConstraintStrategy.contains(
ConstraintStrategy.DISCARD_COUNTERS.value,
constraint_level):
problem.addConstraint(
lambda nep, act: self.__is_most_rested_nephrologist__(
current_team, nep, act),
(self.nephrologist_key, self.activity_key))
pass
solutions = problem.getSolutions()
for solution in solutions:
if solution[
self.
nephrologist_key].id not in self.__currently_allocated_nephrologists__(
current_timeslot):
if self.__slot__(current_timeslot,
solution[self.activity_key],
solution[self.nephrologist_key]):
self.__allocate_timeslot__(constraint_level,
yesterday_profile,
current_timeslot,
holidays)
def __allocate_whole_day__(self, constraint_level, yesterday_profile, holidays):
for current_timeslot in self.profile:
if ConstraintStrategy.contains(ConstraintStrategy.ALLOCATE_WEEKEND_DAYS.value, constraint_level):
'''
N must have clearance for all the activities: [[OTHERS, DIALYSIS, OBLIGATION]|[OBLIGATION_HOLIDAY] + [OBLIGATION_WEEKEND]]
N must minimize counters for OBLIGATION_WEEKEND, then optionally for [OTHERS, DIALYSIS, OBLIGATION] or [OBLIGATION_HOLIDAY]
N does OTHERS on FIRST_SHIFT (or OBLIGATION_HOLIDAY if DAY is holiday)
N does DIALYSIS on SECOND_SHIFT (or OBLIGATION_HOLIDAY if DAY is holiday)
N does OBLIGATION on THIRD_SHIFT (or OBLIGATION_HOLIDAY if DAY is holiday)
N does OBLIGATION_WEEKEND on all SHIFTS, DAY+1
N does OBLIGATION_WEEKEND on all SHIFTS, DAY+2
Where:
- N: the chosen nephrologist
- DAY: Friday
'''
if self.weekday == 4: # friday
if current_timeslot == TimeSlot.FIRST_SHIFT:
current_team, problem = self.__team_problem__(current_timeslot, holidays, range(1, 4))
# print(current_team)
if problem is not None:
# nephrologist has to have clearance for following activities: Activity.OTHERS, Activity.DIALYSIS, Activity.OBLIGATION
problem.addConstraint(lambda nep: Activity.OTHERS in nep.activities and Activity.DIALYSIS in nep.activities and Activity.OBLIGATION in nep.activities, (self.nephrologist_key))
# nephrologist with lesser contribution to weekend obligation activity is selected
problem.addConstraint(lambda nep: True in [self.__is_most_rested_nephrologist__(current_team, nep, Activity.OBLIGATION_WEEKEND)], (self.nephrologist_key))
solutions = problem.getSolutions()
if len(solutions) > 0:
current_shift_activities = list(set([Activity.OTHERS] + self.obligation_activities) & set([x for x in self.profile[current_timeslot]]))
if len(current_shift_activities) == 1:
# extracting the nephrologist resolved from the constraint problem solving
eligible_one = solutions[0][self.nephrologist_key]
# allocating the nephrologist on his TimeSlot.FIRST_SHIFT for Activity.OTHERS
self.__slot__(current_timeslot, current_shift_activities[0], eligible_one)
# allocating the recovery shift to nephrologist under obligation for next week.
recovery_shift = None
recovery_preferences = [(x, y) for x in eligible_one.preferences for y in eligible_one.preferences[x] if Activity.OBLIGATION_RECOVERY in eligible_one.preferences[x][y]]
if len(recovery_preferences) == 0: # eligible nephrologist has no preferences for obligation recovery
# generating all possible recovery shifts for the eligible nephrologist within day [0, 4] for Activity.OBLIGATION_RECOVERY that has not a negative score
recovery_possibilities = [(x, y) for x in [0, 1, 2, 3, 4] for y in [TimeSlot.FIRST_SHIFT, TimeSlot.SECOND_SHIFT] if eligible_one.score(x, y, Activity.OBLIGATION_RECOVERY) == 0]
# picking one randomly out of all the possible shifts list
if len(recovery_possibilities) > 0:
recovery_shift = recovery_possibilities[randint(0, len(recovery_possibilities)-1)]
# recovery_shift = recovery_possibilities[0]
else: # eligible nephrologist has at least one preferential shift for Activity.OBLIGATION_RECOVERY
# picking one preference out of the preference list in a random fashion
recovery_shift = recovery_preferences[randint(0, len(recovery_preferences)-1)]
# recovery_shift = recovery_preferences[0]
# TODO: recompute holidays to take modification into account!
# print(str(eligible_one) + ": " + str(recovery_shift))
if recovery_shift is not None:
recovery_index_day, recovery_slot = recovery_shift
eligible_one.holidays.append(FreeSlots(self.date + timedelta(days=3+recovery_index_day), [recovery_slot]))
else:
# retrieving the nephrologist allocated for imminent weekend obligation
last_shift_activities = list(set([Activity.OTHERS] + self.obligation_activities) & set([x for x in self.profile[TimeSlot.FIRST_SHIFT]]))
if len(last_shift_activities) == 1:
if current_timeslot == TimeSlot.SECOND_SHIFT:
current_shift_activities = list(set([Activity.DIALYSIS] + self.obligation_activities) & set([x for x in self.profile[current_timeslot]]))
if len(current_shift_activities) == 1:
# allocating the nephrologist on his TimeSlot.SECOND_SHIFT for Activity.DIALYSIS
self.__slot__(current_timeslot, current_shift_activities[0], self.profile[TimeSlot.FIRST_SHIFT][last_shift_activities[0]])
elif current_timeslot == TimeSlot.THIRD_SHIFT:
current_shift_activities = list(set([Activity.OBLIGATION] + self.obligation_activities) & set([x for x in self.profile[current_timeslot]]))
if len(current_shift_activities) == 1:
# allocating the nephrologist on his TimeSlot.THIRD_SHIFT for Activity.OBLIGATION
self.__slot__(current_timeslot, current_shift_activities[0], self.profile[TimeSlot.FIRST_SHIFT][last_shift_activities[0]])
elif self.weekday in [5, 6] and yesterday_profile is not None and TimeSlot.THIRD_SHIFT in yesterday_profile: # saturday, sunday
yesterday_obligations = list(set(self.obligation_activities) & set([x for x in yesterday_profile[TimeSlot.THIRD_SHIFT]]))
if len(yesterday_obligations) == 1 and yesterday_profile[TimeSlot.THIRD_SHIFT][yesterday_obligations[0]] is not None:
today_activities = list(set(self.obligation_activities) & set([x for x in self.profile[current_timeslot]]))
if len(today_activities) == 1:
self.__slot__(current_timeslot, today_activities[0], yesterday_profile[TimeSlot.THIRD_SHIFT][yesterday_obligations[0]])
elif ConstraintStrategy.contains(ConstraintStrategy.ALLOCATE_HOLIDAYS.value, constraint_level):
current_team, problem = self.__team_problem__(current_timeslot, holidays)
if current_timeslot == TimeSlot.FIRST_SHIFT:
if problem is not None:
# nephrologist with lesser contribution to weekend obligation activity is selected
problem.addConstraint(lambda nep: True in [self.__is_most_rested_nephrologist__(current_team, nep, Activity.OBLIGATION_HOLIDAY)], (self.nephrologist_key))
solutions = problem.getSolutions()
if len(solutions) > 0:
current_shift_activities = list(set([Activity.OBLIGATION_HOLIDAY]) & set([x for x in self.profile[current_timeslot]]))
if len(current_shift_activities) == 1:
self.__slot__(current_timeslot, current_shift_activities[0], solutions[0][self.nephrologist_key])
else:
last_shift_activities = list(set([Activity.OBLIGATION_HOLIDAY]) & set([x for x in self.profile[TimeSlot.FIRST_SHIFT]]))
if len(last_shift_activities) == 1:
current_shift_activities = list(set([Activity.OBLIGATION_HOLIDAY]) & set([x for x in self.profile[current_timeslot]]))
if len(current_shift_activities) == 1:
self.__slot__(current_timeslot, current_shift_activities[0], self.profile[TimeSlot.FIRST_SHIFT][last_shift_activities[0]])
def __allocate_whole_day__(self, constraint_level, yesterday_profile,
holidays):
for current_timeslot in self.profile:
if ConstraintStrategy.contains(
ConstraintStrategy.ALLOCATE_WEEKEND_DAYS.value,
constraint_level):
'''
N must have clearance for all the activities: [[OTHERS, DIALYSIS, OBLIGATION]|[OBLIGATION_HOLIDAY] + [OBLIGATION_WEEKEND]]
N must minimize counters for OBLIGATION_WEEKEND, then optionally for [OTHERS, DIALYSIS, OBLIGATION] or [OBLIGATION_HOLIDAY]
N does OTHERS on FIRST_SHIFT (or OBLIGATION_HOLIDAY if DAY is holiday)
N does DIALYSIS on SECOND_SHIFT (or OBLIGATION_HOLIDAY if DAY is holiday)
N does OBLIGATION on THIRD_SHIFT (or OBLIGATION_HOLIDAY if DAY is holiday)
N does OBLIGATION_WEEKEND on all SHIFTS, DAY+1
N does OBLIGATION_WEEKEND on all SHIFTS, DAY+2
Where:
- N: the chosen nephrologist
- DAY: Friday
'''
if self.weekday == 4: # friday
if current_timeslot == TimeSlot.FIRST_SHIFT:
current_team, problem = self.__team_problem__(
current_timeslot, holidays, range(1, 4))
# print(current_team)
if problem is not None:
# nephrologist has to have clearance for following activities: Activity.OTHERS, Activity.DIALYSIS, Activity.OBLIGATION
problem.addConstraint(
lambda nep: Activity.OTHERS in nep.activities
and Activity.DIALYSIS in nep.activities and
Activity.OBLIGATION in nep.activities,
(self.nephrologist_key))
# nephrologist with lesser contribution to weekend obligation activity is selected
problem.addConstraint(
lambda nep: True in [
self.__is_most_rested_nephrologist__(
current_team, nep, Activity.
OBLIGATION_WEEKEND)
], (self.nephrologist_key))
solutions = problem.getSolutions()
if len(solutions) > 0:
current_shift_activities = list(
set([Activity.OTHERS] +
self.obligation_activities)
& set([
x
for x in self.profile[current_timeslot]
]))
if len(current_shift_activities) == 1:
# extracting the nephrologist resolved from the constraint problem solving
eligible_one = solutions[0][
self.nephrologist_key]
# allocating the nephrologist on his TimeSlot.FIRST_SHIFT for Activity.OTHERS
self.__slot__(current_timeslot,
current_shift_activities[0],
eligible_one)
# allocating the recovery shift to nephrologist under obligation for next week.
recovery_shift = None
recovery_preferences = [
(x, y)
for x in eligible_one.preferences
for y in eligible_one.preferences[x]
if Activity.OBLIGATION_RECOVERY in
eligible_one.preferences[x][y]
]
if len(
recovery_preferences
) == 0: # eligible nephrologist has no preferences for obligation recovery
# generating all possible recovery shifts for the eligible nephrologist within day [0, 4] for Activity.OBLIGATION_RECOVERY that has not a negative score
recovery_possibilities = [
(x, y) for x in [0, 1, 2, 3, 4]
for y in [
TimeSlot.FIRST_SHIFT,
TimeSlot.SECOND_SHIFT
] if eligible_one.score(
x, y, Activity.
OBLIGATION_RECOVERY) == 0
]
# picking one randomly out of all the possible shifts list
if len(recovery_possibilities) > 0:
recovery_shift = recovery_possibilities[
randint(
0,
len(recovery_possibilities)
- 1)]
# recovery_shift = recovery_possibilities[0]
else: # eligible nephrologist has at least one preferential shift for Activity.OBLIGATION_RECOVERY
# picking one preference out of the preference list in a random fashion
recovery_shift = recovery_preferences[
randint(
0,
len(recovery_preferences) - 1)]
# recovery_shift = recovery_preferences[0]
# TODO: recompute holidays to take modification into account!
# print(str(eligible_one) + ": " + str(recovery_shift))
if recovery_shift is not None:
recovery_index_day, recovery_slot = recovery_shift
eligible_one.holidays.append(
FreeSlots(
self.date +
timedelta(days=3 +
recovery_index_day),
[recovery_slot]))
else:
# retrieving the nephrologist allocated for imminent weekend obligation
last_shift_activities = list(
set([Activity.OTHERS] + self.obligation_activities)
& set([
x for x in self.profile[TimeSlot.FIRST_SHIFT]
]))
if len(last_shift_activities) == 1:
if current_timeslot == TimeSlot.SECOND_SHIFT:
current_shift_activities = list(
set([Activity.DIALYSIS] +
self.obligation_activities)
& set([
x
for x in self.profile[current_timeslot]
]))
if len(current_shift_activities) == 1:
# allocating the nephrologist on his TimeSlot.SECOND_SHIFT for Activity.DIALYSIS
self.__slot__(
current_timeslot,
current_shift_activities[0],
self.profile[TimeSlot.FIRST_SHIFT][
last_shift_activities[0]])
elif current_timeslot == TimeSlot.THIRD_SHIFT:
current_shift_activities = list(
set([Activity.OBLIGATION] +
self.obligation_activities)
& set([
x
for x in self.profile[current_timeslot]
]))
if len(current_shift_activities) == 1:
# allocating the nephrologist on his TimeSlot.THIRD_SHIFT for Activity.OBLIGATION
self.__slot__(
current_timeslot,
current_shift_activities[0],
self.profile[TimeSlot.FIRST_SHIFT][
last_shift_activities[0]])
elif self.weekday in [
5, 6
] and yesterday_profile is not None and TimeSlot.THIRD_SHIFT in yesterday_profile: # saturday, sunday
yesterday_obligations = list(
set(self.obligation_activities) & set([
x for x in yesterday_profile[TimeSlot.THIRD_SHIFT]
]))
if len(yesterday_obligations) == 1 and yesterday_profile[
TimeSlot.THIRD_SHIFT][
yesterday_obligations[0]] is not None:
today_activities = list(
set(self.obligation_activities)
& set([x for x in self.profile[current_timeslot]]))
if len(today_activities) == 1:
self.__slot__(
current_timeslot, today_activities[0],
yesterday_profile[TimeSlot.THIRD_SHIFT][
yesterday_obligations[0]])
elif ConstraintStrategy.contains(
ConstraintStrategy.ALLOCATE_HOLIDAYS.value,
constraint_level):
current_team, problem = self.__team_problem__(
current_timeslot, holidays)
if current_timeslot == TimeSlot.FIRST_SHIFT:
if problem is not None:
# nephrologist with lesser contribution to weekend obligation activity is selected
problem.addConstraint(
lambda nep: True in [
self.__is_most_rested_nephrologist__(
current_team, nep, Activity.
OBLIGATION_HOLIDAY)
], (self.nephrologist_key))
solutions = problem.getSolutions()
if len(solutions) > 0:
current_shift_activities = list(
set([Activity.OBLIGATION_HOLIDAY]) & set([
x for x in self.profile[current_timeslot]
]))
if len(current_shift_activities) == 1:
self.__slot__(
current_timeslot,
current_shift_activities[0],
solutions[0][self.nephrologist_key])
else:
last_shift_activities = list(
set([Activity.OBLIGATION_HOLIDAY])
& set([x for x in self.profile[TimeSlot.FIRST_SHIFT]]))
if len(last_shift_activities) == 1:
current_shift_activities = list(
set([Activity.OBLIGATION_HOLIDAY])
& set([x for x in self.profile[current_timeslot]]))
if len(current_shift_activities) == 1:
self.__slot__(
current_timeslot, current_shift_activities[0],
self.profile[TimeSlot.FIRST_SHIFT][
last_shift_activities[0]])