diff --git a/SAS/TMSS/services/scheduling/lib/constraints/__init__.py b/SAS/TMSS/services/scheduling/lib/constraints/__init__.py
index 30fff6c121309cfcde8646afe674444d69a5a5b9..170960bac4c4cd10679e9a198e15cc5e497fdd4a 100644
--- a/SAS/TMSS/services/scheduling/lib/constraints/__init__.py
+++ b/SAS/TMSS/services/scheduling/lib/constraints/__init__.py
@@ -28,6 +28,7 @@
import logging
logger = logging.getLogger(__name__)
from datetime import datetime
+from typing import NamedTuple
from lofar.sas.tmss.tmss.tmssapp import models
from lofar.sas.tmss.tmss.exceptions import *
@@ -51,10 +52,10 @@ def filter_scheduling_units_using_constraints(scheduling_units:[models.Schedulin
def can_run_within_timewindow(scheduling_unit: models.SchedulingUnitBlueprint, lower_bound: datetime, upper_bound: datetime) -> bool:
- '''Check if the given scheduling_unit can run somewhere within the given time window depending on the sub's constrainstemplate/doc.'''
+ '''Check if the given scheduling_unit can run somewhere within the given time window depending on the sub's constrains-template/doc.'''
constraints_template = scheduling_unit.draft.scheduling_constraints_template
- # chose appropriate method based on template, or raise
+ # choose appropriate method based on template (strategy pattern), or raise
if constraints_template.name == 'constraints' and constraints_template.version == 1:
# import here to prevent circular imports. Do not worry about performance loss, cause python only imports once and then uses a cache.
from . import template_constraints_v1
@@ -65,5 +66,63 @@ def can_run_within_timewindow(scheduling_unit: models.SchedulingUnitBlueprint, l
raise UnknownTemplateException("Cannot check if scheduling_unit id=%s can run between '%s' and '%s', because we have no constraint checker for scheduling constraints template '%s' version=%s" % (
scheduling_unit.id, lower_bound, upper_bound, constraints_template.name, constraints_template.version))
-# expose only these public methods for this package, and 'hide' the template-specific imported methods, which are only used internally here.
-__all__ = ["filter_scheduling_units_using_constraints", "can_run_within_timewindow"]
+
+class ScoredSchedulingUnit(NamedTuple):
+ '''struct for collecting scores per constraint and a weighted_score for a scheduling_unit at the given start_time
+ '''
+ scheduling_unit: models.SchedulingUnitBlueprint
+ scores: dict
+ start_time: datetime
+ weighted_score: float
+
+
+def compute_scores(scheduling_unit: models.SchedulingUnitBlueprint, lower_bound:datetime, upper_bound:datetime) -> ScoredSchedulingUnit:
+ '''Compute the "fitness" scores per constraint for the given scheduling_unit at the given starttime depending on the sub's constrains-template/doc.'''
+ constraints_template = scheduling_unit.draft.scheduling_constraints_template
+
+ # choose appropriate method based on template (strategy pattern), or raise
+ if constraints_template.name == 'constraints' and constraints_template.version == 1:
+ # import here to prevent circular imports. Do not worry about performance loss, cause python only imports once and then uses a cache.
+ from . import template_constraints_v1
+ return template_constraints_v1.compute_scores(scheduling_unit, lower_bound, upper_bound)
+
+ # TODO: if we get more constraint templates or versions, then add a check here and import and use the new module with the constraint methods for that specific template. (strategy pattern)
+
+ raise UnknownTemplateException("Cannot compute scores for scheduling_unit id=%s, because we have no score computation method for scheduling constraints template '%s' version=%s" % (
+ scheduling_unit.id, constraints_template.name, constraints_template.version))
+
+
+def get_sorted_scheduling_units_scored_by_constraints(scheduling_units:[models.SchedulingUnitBlueprint], lower_bound:datetime, upper_bound:datetime) -> [ScoredSchedulingUnit]:
+ scored_scheduling_units = [compute_scores(scheduling_unit, lower_bound, upper_bound)
+ for scheduling_unit in scheduling_units]
+ return sorted(scored_scheduling_units, key=lambda x: x.weighted_score, reverse=True)
+
+
+def get_earliest_possible_start_time(scheduling_unit: models.SchedulingUnitBlueprint, lower_bound: datetime=None) -> datetime:
+ '''determine the earliest possible starttime for the given scheduling unit, taking into account all its constraints'''
+ constraints_template = scheduling_unit.draft.scheduling_constraints_template
+
+ # choose appropriate method based on template (strategy pattern), or raise
+ if constraints_template.name == 'constraints' and constraints_template.version == 1:
+ # import here to prevent circular imports. Do not worry about performance loss, cause python only imports once and then uses a cache.
+ from . import template_constraints_v1
+ return template_constraints_v1.get_earliest_possible_start_time(scheduling_unit, lower_bound)
+
+ # TODO: if we get more constraint templates or versions, then add a check here and import and use the new module with the constraint methods for that specific template. (strategy pattern)
+
+ raise UnknownTemplateException("Cannot compute first possible starttime for scheduling_unit id=%s, because we have no constraint checker for scheduling constraints template '%s' version=%s" % (
+ scheduling_unit.id, constraints_template.name, constraints_template.version))
+
+
+def get_min_earliest_possible_start_time(scheduling_units: [models.SchedulingUnitBlueprint], lower_bound: datetime=None) -> datetime:
+ '''deterimine the earliest possible starttime over all given scheduling units, taking into account all their constraints'''
+ if lower_bound is None:
+ lower_bound = datetime.utcnow()
+ try:
+ return min(get_earliest_possible_start_time(scheduling_unit, lower_bound) for scheduling_unit in scheduling_units)
+ except ValueError:
+ return lower_bound
+
+
+
+
diff --git a/SAS/TMSS/services/scheduling/lib/constraints/template_constraints_v1.py b/SAS/TMSS/services/scheduling/lib/constraints/template_constraints_v1.py
index ba665f50da545d294f4bf36695e7990e68b1b902..b6486489364ac6d5d6da26a100983ecd49f37469 100644
--- a/SAS/TMSS/services/scheduling/lib/constraints/template_constraints_v1.py
+++ b/SAS/TMSS/services/scheduling/lib/constraints/template_constraints_v1.py
@@ -30,8 +30,9 @@ logger = logging.getLogger(__name__)
from datetime import datetime, timedelta
from lofar.sas.tmss.tmss.tmssapp import models
-from lofar.sas.tmss.services.scheduling.dynamic_scheduling import get_first_possible_start_time
-from lofar.sas.tmss.tmss.tmssapp.conversions import LOFAR_CENTER_OBSERVER
+from lofar.sas.tmss.tmss.tmssapp.conversions import LOFAR_CENTER_OBSERVER, sun_rise_and_set_at_lofar_center, Time
+
+from . import ScoredSchedulingUnit
def can_run_within_timewindow(scheduling_unit: models.SchedulingUnitBlueprint, lower_bound: datetime, upper_bound: datetime) -> bool:
'''determine if the given scheduling_unit can run withing the given timewindow evaluating all constraints from the "constraints" version 1 template'''
@@ -57,7 +58,9 @@ def can_run_within_timewindow_with_daily_constraints(scheduling_unit: models.Sch
# Ugly code. Should be improved. Works for demo.
# create a series of timestamps in the window of opportunity, and evaluate of there are all during day or night
- possible_start_time = get_first_possible_start_time(scheduling_unit, lower_bound)
+ possible_start_time = get_earliest_possible_start_time(scheduling_unit, lower_bound)
+
+ # ToDo: use specified total observation duration, and ignore pipelines who don't care about day/night
possible_stop_time = possible_start_time + scheduling_unit.duration
timestamps = [possible_start_time]
while timestamps[-1] < possible_stop_time - timedelta(hours=8):
@@ -87,3 +90,73 @@ def can_run_within_timewindow_with_sky_constraints(scheduling_unit: models.Sched
# maybe even split this method into sub methods for the very distinct sky constraints: min_calibrator_elevation, min_target_elevation, transit_offset & min_distance
return True # for now, ignore sky contraints.
+
+def get_earliest_possible_start_time(scheduling_unit: models.SchedulingUnitBlueprint, lower_bound: datetime=None) -> datetime:
+ now = datetime.utcnow()
+
+ if lower_bound is None:
+ lower_bound = now
+
+ constraints = scheduling_unit.draft.scheduling_constraints_doc
+
+ try:
+ if constraints['daily']['require_day'] or constraints['daily']['require_night']:
+ sun_rise, sun_set = sun_rise_and_set_at_lofar_center(lower_bound)
+
+ # TODO: take avoid_twilight into account
+ if constraints['daily']['require_day']:
+ if lower_bound+scheduling_unit.duration > sun_set:
+ return LOFAR_CENTER_OBSERVER.sun_rise_time(time=Time(sun_set), which='next').to_datetime()
+ if lower_bound >= sun_rise:
+ return lower_bound
+ return sun_rise
+
+ if constraints['daily']['require_night']:
+ if lower_bound+scheduling_unit.duration < sun_rise:
+ return lower_bound
+ if lower_bound >= sun_set:
+ return lower_bound
+ return sun_set
+
+ # if constraints['daily']['require_night']:
+ # # for now, just assume next_sun_set is fine (leaving lots of open gaps)
+ # return next_sun_set
+ except Exception as e:
+ logger.exception(str(e))
+
+ # no constraints dictating starttime? make a guesstimate.
+ return max(lower_bound, now)
+
+
+def compute_scores(scheduling_unit: models.SchedulingUnitBlueprint, lower_bound:datetime, upper_bound:datetime) -> ScoredSchedulingUnit:
+ '''Compute the "fitness" scores per constraint for the given scheduling_unit at the given starttime depending on the sub's constrains-template/doc.'''
+ constraints = scheduling_unit.draft.scheduling_constraints_doc
+
+ # TODO: add compute_scores methods for each type of constraint
+ # TODO: take start_time into account. For example, an LST constraint yields a better score when the starttime is such that the center of the obs is at LST.
+ # TODO: TMSS-??? (and more?), compute score using the constraints in constraints['daily']
+ # TODO: TMSS-244 (and more?), compute score using the constraints in constraints['time']
+ # TODO: TMSS-245 TMSS-250 (and more?), compute score using the constraints in constraints['sky']
+
+ # for now (as a proof of concept and sort of example), just return 1's
+ scores = {'daily': 1.0,
+ 'time': 1.0,
+ 'sky': 1.0 }
+
+ # add "common" scores which do not depend on constraints, such as project rank and creation date
+ # TODO: should be normalized!
+ scores['project_rank'] = scheduling_unit.draft.scheduling_set.project.priority_rank
+ scores['age'] = (datetime.utcnow() - scheduling_unit.created_at).total_seconds()
+
+ try:
+ # TODO: apply weights. Needs some new weight model in django, probably linked to constraints_template.
+ # for now, just average the scores
+ weighted_score = sum(scores.values())/len(scores)
+ except:
+ weighted_score = 1
+
+ return ScoredSchedulingUnit(scheduling_unit=scheduling_unit,
+ scores=scores,
+ weighted_score=weighted_score,
+ start_time=lower_bound)
+
diff --git a/SAS/TMSS/services/scheduling/lib/dynamic_scheduling.py b/SAS/TMSS/services/scheduling/lib/dynamic_scheduling.py
index 564b00ffda75b5c62d13430b8e48888430799e4c..e75bf7cc3d3a6c752613e0767b64475d2c73b3af 100644
--- a/SAS/TMSS/services/scheduling/lib/dynamic_scheduling.py
+++ b/SAS/TMSS/services/scheduling/lib/dynamic_scheduling.py
@@ -38,7 +38,7 @@ from lofar.sas.tmss.tmss.exceptions import *
from lofar.common.datetimeutils import round_to_minute_precision, round_to_second_precision
from threading import Thread, Event
-from lofar.sas.tmss.services.scheduling.constraints import filter_scheduling_units_using_constraints
+from lofar.sas.tmss.services.scheduling.constraints import *
def get_schedulable_scheduling_units() -> [models.SchedulingUnitBlueprint]:
'''get a list of all schedulable scheduling_units'''
@@ -58,10 +58,10 @@ def get_scheduled_scheduling_units(lower:datetime=None, upper:datetime=None) ->
return list(models.SchedulingUnitBlueprint.objects.filter(id__in=scheduled_subtasks.values('task_blueprint__scheduling_unit_blueprint_id').distinct()).all())
-def find_best_next_schedulable_unit(lower_bound_start_time: datetime=None, upper_bound_stop_time: datetime=None, scheduling_units:[models.SchedulingUnitBlueprint]=None) -> (models.SchedulingUnitBlueprint, datetime):
+def find_best_next_schedulable_unit(lower_bound_start_time: datetime=None, upper_bound_stop_time: datetime=None, scheduling_units:[models.SchedulingUnitBlueprint]=None) -> ScoredSchedulingUnit:
"""
find the best schedulable scheduling_unit which can run withing the given time window, for the given scheduling_units.
- Returns a tuple of the best next schedulable scheduling unit and its proposed starttime where it best fits its contraints.
+ Returns a ScoredSchedulingUnit struct with a.o. the best next schedulable scheduling unit and its proposed starttime where it best fits its contraints.
"""
if lower_bound_start_time is None:
lower_bound_start_time = datetime.utcnow()
@@ -79,22 +79,23 @@ def find_best_next_schedulable_unit(lower_bound_start_time: datetime=None, upper
filtered_scheduling_units = filter_scheduling_units_using_constraints(scheduling_units, lower_bound_start_time, upper_bound_stop_time)
if filtered_scheduling_units:
- filtered_scheduling_units = sorted(filtered_scheduling_units, key=get_score, reverse=True)
- best_next_schedulable_unit = filtered_scheduling_units[0]
+ sorted_scored_scheduling_units = get_sorted_scheduling_units_scored_by_constraints(filtered_scheduling_units, lower_bound_start_time, upper_bound_stop_time)
+ best_scored_scheduling_unit = sorted_scored_scheduling_units[0]
- # TODO: compute best start_time so the constrainst yields the max score.
- best_start_time = get_first_possible_start_time(best_next_schedulable_unit, lower_bound_start_time)
+ best_next_schedulable_unit = best_scored_scheduling_unit.scheduling_unit
+ best_start_time = best_scored_scheduling_unit.start_time
if best_start_time >= lower_bound_start_time and best_start_time+best_next_schedulable_unit.duration < upper_bound_stop_time:
- return best_next_schedulable_unit, best_start_time
+ return best_scored_scheduling_unit
else:
# try again a bit further into the future. There might be a spot there...
+ # ToDo: apply smarter guessed step size
lower_bound_start_time += timedelta(minutes=10)
else:
# no scheduling units...
- return None, None
+ return None
- return None, None
+ return None
def schedule_next_scheduling_unit() -> models.SchedulingUnitBlueprint:
@@ -104,7 +105,7 @@ def schedule_next_scheduling_unit() -> models.SchedulingUnitBlueprint:
schedulable_units = get_schedulable_scheduling_units()
# estimate the lower_bound_start_time
- lower_bound_start_time = get_min_first_possible_start_time(schedulable_units, datetime.utcnow() + timedelta(seconds=90))
+ lower_bound_start_time = get_min_earliest_possible_start_time(schedulable_units, datetime.utcnow() + timedelta(seconds=90))
# estimate the upper_bound_stop_time, which may give us a small timewindow before any next scheduled unit, or a default window of a day
try:
@@ -120,20 +121,22 @@ def schedule_next_scheduling_unit() -> models.SchedulingUnitBlueprint:
try:
# try to find the best next scheduling_unit
logger.info("schedule_next_scheduling_unit: searching for best scheduling unit to schedule starting between %s and %s", lower_bound_start_time, upper_bound_stop_time)
- best_scheduling_unit, best_start_time = find_best_next_schedulable_unit(lower_bound_start_time, upper_bound_stop_time, schedulable_units)
- if best_scheduling_unit:
- best_scheduling_unit_score = get_score(best_scheduling_unit)
+ best_scored_scheduling_unit = find_best_next_schedulable_unit(lower_bound_start_time, upper_bound_stop_time, schedulable_units)
+ if best_scored_scheduling_unit:
+ best_scheduling_unit = best_scored_scheduling_unit.scheduling_unit
+ best_scheduling_unit_score = best_scored_scheduling_unit.weighted_score
+ best_start_time = best_scored_scheduling_unit.start_time
# make start_time "look nice" for us humans
- best_start_time = round_to_minute_precision(best_start_time)
+ best_start_time = round_to_second_precision(best_start_time)
- logger.info("schedule_next_scheduling_unit: found best candidate id=%s '%s' score=%s start_time=%s",
+ logger.info("schedule_next_scheduling_unit: found best candidate id=%s '%s' weighted_score=%s start_time=%s",
best_scheduling_unit.id, best_scheduling_unit.name, best_scheduling_unit_score, best_start_time)
# check any previously scheduled units, and unschedule if needed/allowed
scheduled_scheduling_units = get_scheduled_scheduling_units(lower=best_start_time, upper=best_start_time+best_scheduling_unit.duration)
for scheduled_scheduling_unit in scheduled_scheduling_units:
- if best_scheduling_unit_score > get_score(scheduled_scheduling_unit):
+ if best_scheduling_unit_score > compute_scores(scheduled_scheduling_unit, lower_bound_start_time, upper_bound_stop_time).weighted_score:
logger.info("schedule_next_scheduling_unit: unscheduling id=%s '%s' because it is in the way and has a lower score than the best candidate id=%s '%s' score=%s start_time=%s",
scheduled_scheduling_unit.id, scheduled_scheduling_unit.name,
best_scheduling_unit.id, best_scheduling_unit.name, best_scheduling_unit_score, best_start_time)
@@ -144,7 +147,7 @@ def schedule_next_scheduling_unit() -> models.SchedulingUnitBlueprint:
if scheduled_scheduling_units:
# accept current solution with current scheduled_scheduling_units
logger.info("schedule_next_scheduling_unit: keeping current scheduled unit(s) which have a better (or equal) score: %s",
- "; ".join("id=%s '%s' score=%s start_time=%s" % (su.id, su.name, get_score(su), su.start_time) for su in scheduled_scheduling_units))
+ "; ".join("id=%s '%s' start_time='%s'" % (su.id, su.name, su.start_time) for su in scheduled_scheduling_units))
return None
else:
# no (old) scheduled scheduling_units in the way, so
@@ -161,7 +164,7 @@ def schedule_next_scheduling_unit() -> models.SchedulingUnitBlueprint:
# nothing was found, or an error occurred.
# seach again... (loop) with the remaining schedulable_units and new lower_bound_start_time
schedulable_units = get_schedulable_scheduling_units()
- lower_bound_start_time = get_min_first_possible_start_time(schedulable_units, lower_bound_start_time + timedelta(minutes=10))
+ lower_bound_start_time = get_min_earliest_possible_start_time(schedulable_units, lower_bound_start_time + timedelta(minutes=10))
def assign_start_stop_times_to_schedulable_scheduling_units():
@@ -177,10 +180,11 @@ def assign_start_stop_times_to_schedulable_scheduling_units():
# update the start_times of the remaining ones (so they form queue, and can be visualized in a timeline)
while scheduling_units:
- scheduling_unit, start_time = find_best_next_schedulable_unit(lower_bound_start_time=last_scheduling_unit_stop_time, scheduling_units=scheduling_units)
+ best_scored_scheduling_unit = find_best_next_schedulable_unit(lower_bound_start_time=last_scheduling_unit_stop_time, scheduling_units=scheduling_units)
- if scheduling_unit:
- start_time = round_to_second_precision(start_time)
+ if best_scored_scheduling_unit:
+ scheduling_unit = best_scored_scheduling_unit.scheduling_unit
+ start_time = round_to_second_precision(best_scored_scheduling_unit.start_time)
logger.info("mid-term schedule: next scheduling unit id=%s '%s' start_time=%s", scheduling_unit.id, scheduling_unit.name, start_time)
update_subtasks_start_times_for_scheduling_unit(scheduling_unit, start_time)
@@ -190,9 +194,9 @@ def assign_start_stop_times_to_schedulable_scheduling_units():
scheduling_units.remove(scheduling_unit)
else:
# search again in a later timeslot
- min_first_possible_start_time = get_min_first_possible_start_time(scheduling_units, last_scheduling_unit_stop_time+timedelta(minutes=10))
- if min_first_possible_start_time > last_scheduling_unit_stop_time:
- last_scheduling_unit_stop_time = min_first_possible_start_time
+ min_earliest_possible_start_time = get_min_earliest_possible_start_time(scheduling_units, last_scheduling_unit_stop_time+timedelta(minutes=10))
+ if min_earliest_possible_start_time > last_scheduling_unit_stop_time:
+ last_scheduling_unit_stop_time = min_earliest_possible_start_time
else:
# cannot advance anymore to find more
logger.warning("Cannot assign start/stop times to remaining scheduling units for mid-term schedule...")
@@ -206,62 +210,6 @@ def assign_start_stop_times_to_schedulable_scheduling_units():
logger.info("Estimating mid-term schedule... finished")
-def get_first_possible_start_time(scheduling_unit: models.SchedulingUnitBlueprint, lower_bound: datetime=None) -> datetime:
- now = datetime.utcnow()
-
- if lower_bound is None:
- lower_bound = now
-
- constraints = scheduling_unit.draft.scheduling_constraints_doc
-
- # TODO: use factory to get function based on scheduling_constraints_template and/or constraint name
- # for now, assume there is only one template, allowing straightforward filtering.
-
- try:
- if constraints['daily']['require_day'] or constraints['daily']['require_night']:
- sun_rise, sun_set = sun_rise_and_set_at_lofar_center(lower_bound)
-
- # TODO: take avoid_twilight into account
- if constraints['daily']['require_day']:
- if lower_bound+scheduling_unit.duration > sun_set:
- return LOFAR_CENTER_OBSERVER.sun_rise_time(time=Time(sun_set), which='next').to_datetime()
- if lower_bound >= sun_rise:
- return lower_bound
- return sun_rise
-
- if constraints['daily']['require_night']:
- if lower_bound+scheduling_unit.duration < sun_rise:
- return lower_bound
- if lower_bound >= sun_set:
- return lower_bound
- return sun_set
-
- # if constraints['daily']['require_night']:
- # # for now, just assume next_sun_set is fine (leaving lots of open gaps)
- # return next_sun_set
- except Exception as e:
- logger.exception(str(e))
-
- # no constraints dictating starttime? make a guesstimate.
- return max(lower_bound, now)
-
-
-def get_min_first_possible_start_time(scheduling_units: [models.SchedulingUnitBlueprint], lower_bound: datetime=None) -> datetime:
- if lower_bound is None:
- lower_bound = datetime.utcnow()
- try:
- return min(get_first_possible_start_time(scheduling_unit, lower_bound) for scheduling_unit in scheduling_units)
- except ValueError:
- return lower_bound
-
-
-def get_score(scheduling_unit: models.SchedulingUnitBlueprint) -> float:
- # TODO: sort by constraints, lst, etc
-
- # for now (as a proof of concept), order the scheduling units by project priority_rank
- # and a bit by how close it is to 'now'
- now = datetime.utcnow()
- return 5*scheduling_unit.draft.scheduling_set.project.priority_rank - (get_first_possible_start_time(scheduling_unit, now)-now).total_seconds()/7200
class TMSSSchedulingUnitBlueprintDynamicSchedulingMessageHandler(TMSSEventMessageHandler):
'''