use std::any::TypeId;
use solverforge_core::domain::{PlanningSolution, SolutionDescriptor};
use solverforge_core::score::SoftScore;
use solverforge_scoring::Director;
use super::super::{
Analyzable, ConstraintAnalysis, ScoreAnalysis, Solvable, SolverRuntime, SolverTerminalReason,
};
use super::common::NoOpPhase;
use super::gates::LifecycleStepGate;
use super::runtime_helpers::{telemetry_with_steps, zero_telemetry};
use crate::scope::SolverScope;
#[derive(Clone, Debug)]
pub(super) struct LifecycleSolution {
pub(super) gate: LifecycleStepGate,
value: i64,
score: Option<SoftScore>,
}
impl LifecycleSolution {
pub(super) fn new(value: i64) -> Self {
Self {
gate: LifecycleStepGate::new_closed(),
value,
score: None,
}
}
}
impl PlanningSolution for LifecycleSolution {
type Score = SoftScore;
fn score(&self) -> Option<Self::Score> {
self.score
}
fn set_score(&mut self, score: Option<Self::Score>) {
self.score = score;
}
}
impl Analyzable for LifecycleSolution {
fn analyze(&self) -> ScoreAnalysis<Self::Score> {
let score = SoftScore::of(self.value);
ScoreAnalysis {
score,
constraints: vec![ConstraintAnalysis {
name: "value".to_string(),
weight: SoftScore::of(1),
score,
match_count: 1,
}],
}
}
}
#[derive(Clone, Debug)]
struct LifecycleDirector {
working_solution: LifecycleSolution,
descriptor: SolutionDescriptor,
}
impl LifecycleDirector {
fn new(solution: LifecycleSolution) -> Self {
Self {
working_solution: solution,
descriptor: SolutionDescriptor::new(
"LifecycleSolution",
TypeId::of::<LifecycleSolution>(),
),
}
}
}
impl solverforge_scoring::Director<LifecycleSolution> for LifecycleDirector {
fn working_solution(&self) -> &LifecycleSolution {
&self.working_solution
}
fn working_solution_mut(&mut self) -> &mut LifecycleSolution {
&mut self.working_solution
}
fn calculate_score(&mut self) -> SoftScore {
let score = SoftScore::of(self.working_solution.value);
self.working_solution.set_score(Some(score));
score
}
fn solution_descriptor(&self) -> &SolutionDescriptor {
&self.descriptor
}
fn clone_working_solution(&self) -> LifecycleSolution {
self.working_solution.clone()
}
fn before_variable_changed(&mut self, _descriptor_index: usize, _entity_index: usize) {}
fn after_variable_changed(&mut self, _descriptor_index: usize, _entity_index: usize) {}
fn entity_count(&self, _descriptor_index: usize) -> Option<usize> {
Some(0)
}
fn total_entity_count(&self) -> Option<usize> {
Some(0)
}
}
impl Solvable for LifecycleSolution {
fn solve(self, runtime: SolverRuntime<Self>) {
let mut solver_scope =
SolverScope::new_with_callback(LifecycleDirector::new(self), (), None, Some(runtime));
solver_scope.start_solving();
let score = solver_scope.calculate_score();
let solution = solver_scope.score_director().clone_working_solution();
solver_scope.set_best_solution(solution.clone(), score);
runtime.emit_best_solution(
solution.clone(),
Some(score),
score,
solver_scope.stats().snapshot(),
);
for step_index in 0..2 {
solver_scope.increment_step_count();
solver_scope.stats_mut().record_move(true);
runtime.emit_progress(
solver_scope.current_score().copied(),
solver_scope.best_score().copied(),
solver_scope.stats().snapshot(),
);
if step_index == 0 {
solution.gate.wait_for_permit();
solver_scope.pause_if_requested();
if runtime.is_cancel_requested() {
break;
}
}
}
let telemetry = solver_scope.stats().snapshot();
let current_score = solver_scope.current_score().copied();
let best_score = solver_scope.best_score().copied().unwrap_or(score);
if runtime.is_cancel_requested() {
runtime.emit_cancelled(current_score, Some(best_score), telemetry);
} else {
runtime.emit_completed(
solver_scope.score_director().clone_working_solution(),
current_score,
best_score,
telemetry,
SolverTerminalReason::Completed,
);
}
}
}
#[derive(Clone, Debug)]
pub(super) struct PauseRequestedProgressSolution {
pub(super) gate: LifecycleStepGate,
value: i64,
score: Option<SoftScore>,
}
impl PauseRequestedProgressSolution {
pub(super) fn new(value: i64) -> Self {
Self {
gate: LifecycleStepGate::new_closed(),
value,
score: None,
}
}
}
impl PlanningSolution for PauseRequestedProgressSolution {
type Score = SoftScore;
fn score(&self) -> Option<Self::Score> {
self.score
}
fn set_score(&mut self, score: Option<Self::Score>) {
self.score = score;
}
}
impl Solvable for PauseRequestedProgressSolution {
fn solve(mut self, runtime: SolverRuntime<Self>) {
let score = SoftScore::of(self.value);
self.set_score(Some(score));
runtime.emit_best_solution(self.clone(), Some(score), score, zero_telemetry());
self.gate.wait_for_permit();
runtime.emit_progress(Some(score), Some(score), zero_telemetry());
if runtime.pause_with_snapshot(self.clone(), Some(score), Some(score), zero_telemetry()) {
runtime.emit_completed(
self,
Some(score),
score,
zero_telemetry(),
SolverTerminalReason::Completed,
);
} else {
runtime.emit_cancelled(Some(score), Some(score), zero_telemetry());
}
}
}
#[derive(Clone, Debug)]
pub(super) struct PauseOrderingSolution {
value: i64,
score: Option<SoftScore>,
}
impl PauseOrderingSolution {
pub(super) fn new(value: i64) -> Self {
Self { value, score: None }
}
}
impl PlanningSolution for PauseOrderingSolution {
type Score = SoftScore;
fn score(&self) -> Option<Self::Score> {
self.score
}
fn set_score(&mut self, score: Option<Self::Score>) {
self.score = score;
}
}
impl Solvable for PauseOrderingSolution {
fn solve(mut self, runtime: SolverRuntime<Self>) {
let score = SoftScore::of(self.value);
self.set_score(Some(score));
runtime.emit_best_solution(self.clone(), Some(score), score, zero_telemetry());
while !runtime.is_pause_requested() {
std::hint::spin_loop();
}
for step_count in 1..=8 {
runtime.emit_progress(Some(score), Some(score), telemetry_with_steps(step_count));
}
if runtime.pause_with_snapshot(
self.clone(),
Some(score),
Some(score),
telemetry_with_steps(9),
) {
runtime.emit_completed(
self,
Some(score),
score,
telemetry_with_steps(10),
SolverTerminalReason::Completed,
);
} else {
runtime.emit_cancelled(Some(score), Some(score), telemetry_with_steps(9));
}
}
}
#[derive(Clone, Debug)]
pub(super) struct DeleteReservationSolution {
pub(super) release_return: LifecycleStepGate,
score: Option<SoftScore>,
}
impl DeleteReservationSolution {
pub(super) fn new() -> Self {
Self {
release_return: LifecycleStepGate::new_closed(),
score: None,
}
}
}
impl PlanningSolution for DeleteReservationSolution {
type Score = SoftScore;
fn score(&self) -> Option<Self::Score> {
self.score
}
fn set_score(&mut self, score: Option<Self::Score>) {
self.score = score;
}
}
impl Solvable for DeleteReservationSolution {
fn solve(mut self, runtime: SolverRuntime<Self>) {
let score = SoftScore::of(1);
self.set_score(Some(score));
runtime.emit_completed(
self.clone(),
Some(score),
score,
zero_telemetry(),
SolverTerminalReason::Completed,
);
self.release_return.wait_for_permit();
}
}
#[derive(Clone, Debug)]
pub(super) struct TrivialLifecycleSolution {
pub(super) gate: LifecycleStepGate,
score: Option<SoftScore>,
}
impl TrivialLifecycleSolution {
pub(super) fn new() -> Self {
Self {
gate: LifecycleStepGate::new_closed(),
score: None,
}
}
}
impl PlanningSolution for TrivialLifecycleSolution {
type Score = SoftScore;
fn score(&self) -> Option<Self::Score> {
self.score
}
fn set_score(&mut self, score: Option<Self::Score>) {
self.score = score;
}
}
fn trivial_solution_descriptor() -> SolutionDescriptor {
SolutionDescriptor::new(
"TrivialLifecycleSolution",
TypeId::of::<TrivialLifecycleSolution>(),
)
}
fn trivial_entity_count(_solution: &TrivialLifecycleSolution, _descriptor_index: usize) -> usize {
0
}
fn trivial_log_scale(solution: &TrivialLifecycleSolution) {
solution.gate.wait_for_permit();
}
fn empty_noop_phase_sequence(
_config: &solverforge_config::SolverConfig,
) -> crate::phase::PhaseSequence<NoOpPhase> {
crate::phase::PhaseSequence::new(Vec::new())
}
impl Solvable for TrivialLifecycleSolution {
fn solve(self, runtime: SolverRuntime<Self>) {
let _ = crate::run::run_solver(
self,
|| (),
trivial_solution_descriptor,
trivial_entity_count,
runtime,
30,
|_| true,
trivial_log_scale,
empty_noop_phase_sequence,
);
}
}