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test_solution_manager.py
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from timefold.solver import *
from timefold.solver.domain import *
from timefold.solver.config import *
from timefold.solver.score import *
from dataclasses import dataclass, field
from typing import Annotated, List
@planning_entity
@dataclass(eq=True, unsafe_hash=True)
class Entity:
code: Annotated[str, PlanningId] = field(hash=True)
value: Annotated[int, PlanningVariable] = field(default=None, hash=False, compare=False)
@constraint_provider
def my_constraints(constraint_factory: ConstraintFactory):
return [
constraint_factory.for_each(Entity)
.reward(SimpleScore.ONE, lambda entity: entity.value)
.as_constraint('package', 'Maximize Value'),
]
@planning_solution
@dataclass
class Solution:
entity_list: Annotated[List[Entity], PlanningEntityCollectionProperty]
value_range: Annotated[List[int], ValueRangeProvider]
score: Annotated[SimpleScore, PlanningScore] = field(default=None)
solver_config = SolverConfig(
solution_class=Solution,
entity_class_list=[Entity],
score_director_factory_config=ScoreDirectorFactoryConfig(
constraint_provider_function=my_constraints
)
)
def assert_score_explanation(problem: Solution,
score_explanation: ScoreExplanation[Solution]):
assert score_explanation.solution is problem
assert score_explanation.score.score == 3
constraint_ref = ConstraintRef(package_name='package', constraint_name='Maximize Value')
constraint_match_total_map = score_explanation.constraint_match_total_map
assert constraint_match_total_map == {
constraint_ref.constraint_id: ConstraintMatchTotal(
constraint_ref=constraint_ref,
constraint_match_count=3,
constraint_weight=SimpleScore.ONE,
score=SimpleScore.of(3),
constraint_match_set={
ConstraintMatch(
constraint_ref=constraint_ref,
justification=DefaultConstraintJustification(
facts=(entity,),
impact=SimpleScore.ONE
),
indicted_objects=(entity,),
score=SimpleScore.ONE
) for entity in problem.entity_list
}
)
}
indictment_map = score_explanation.indictment_map
for entity in problem.entity_list:
indictment = indictment_map[entity]
assert indictment.indicted_object is entity
assert indictment.score == SimpleScore.ONE
assert indictment.constraint_match_count == 1
assert indictment.constraint_match_set == {
ConstraintMatch(
constraint_ref=constraint_ref,
justification=DefaultConstraintJustification(
facts=(entity,),
impact=SimpleScore.ONE
),
indicted_objects=(entity,),
score=SimpleScore.ONE
)
}
assert constraint_ref.constraint_name in score_explanation.summary
assert 'Entity' in score_explanation.summary
def assert_constraint_analysis(problem: Solution, constraint_analysis: ConstraintAnalysis):
constraint_ref = ConstraintRef(package_name='package', constraint_name='Maximize Value')
assert constraint_analysis.score.score == 3
assert constraint_analysis.weight.score == 1
assert constraint_analysis.constraint_name == constraint_ref.constraint_name
assert constraint_analysis.constraint_package == constraint_ref.package_name
assert constraint_analysis.constraint_ref == constraint_ref
matches = constraint_analysis.matches
assert len(matches) == 3
for entity in problem.entity_list:
for match in constraint_analysis.matches:
if match.justification.facts[0] is entity:
assert match.score == SimpleScore.ONE
assert match.constraint_ref == constraint_ref
assert match.justification.facts == (entity,)
assert match.justification.impact == SimpleScore.ONE
break
else:
raise AssertionError(f'Entity {entity} does not have a match')
def assert_score_analysis(problem: Solution, score_analysis: ScoreAnalysis):
constraint_ref = ConstraintRef(package_name='package', constraint_name='Maximize Value')
assert score_analysis.score.score == 3
constraint_map = score_analysis.constraint_map
assert len(constraint_map) == 1
constraint_analysis = score_analysis.constraint_map[constraint_ref]
assert_constraint_analysis(problem, constraint_analysis)
constraint_analyses = score_analysis.constraint_analyses
assert len(constraint_analyses) == 1
constraint_analysis = constraint_analyses[0]
assert_constraint_analysis(problem, constraint_analysis)
def assert_score_analysis_summary(score_analysis: ScoreAnalysis):
summary = score_analysis.summary
assert "Explanation of score (3):" in summary
assert "Constraint matches:" in summary
assert "3: constraint (Maximize Value) has 3 matches:" in summary
assert "1: justified with" in summary
match = score_analysis.constraint_analyses[0]
match_summary = match.summary
assert "Explanation of score (3):" in match_summary
assert "Constraint matches:" in match_summary
assert "3: constraint (Maximize Value) has 3 matches:" in match_summary
assert "1: justified with" in match_summary
def assert_solution_manager(solution_manager: SolutionManager[Solution]):
problem: Solution = Solution([Entity('A', 1), Entity('B', 1), Entity('C', 1)], [1, 2, 3])
assert problem.score is None
score = solution_manager.update(problem)
assert score.score == 3
assert problem.score.score == 3
score_explanation = solution_manager.explain(problem)
assert_score_explanation(problem, score_explanation)
score_analysis = solution_manager.analyze(problem)
assert_score_analysis(problem, score_analysis)
score_analysis = solution_manager.analyze(problem)
assert_score_analysis_summary(score_analysis)
def test_solver_manager_score_manager():
with SolverManager.create(SolverFactory.create(solver_config)) as solver_manager:
assert_solution_manager(SolutionManager.create(solver_manager))
def test_solver_factory_score_manager():
assert_solution_manager(SolutionManager.create(SolverFactory.create(solver_config)))