Uses of Class
ai.timefold.solver.service.definition.api.domain.Metadata

Packages that use Metadata

Package	Description
ai.timefold.solver.service.definition.api.domain
ai.timefold.solver.service.definition.impl.solver
ai.timefold.solver.service.definition.impl.storage.inmemory
ai.timefold.solver.service.definition.internal.events
ai.timefold.solver.service.definition.internal.storage

Uses of Metadata in ai.timefold.solver.service.definition.api.domain

Methods in ai.timefold.solver.service.definition.api.domain that return Metadata

Modifier and Type	Method	Description
Metadata<Score_>	ModelResponse.getRun()
Metadata<Score_>	ModelResponse.metadata()	Returns the value of the metadata record component.

Constructors in ai.timefold.solver.service.definition.api.domain with parameters of type Metadata

Modifier	Constructor	Description
	Metadata(Metadata<Score_> metadata)
	ModelResponse(Metadata<Score_> metadata, ModelOutput_ modelOutput, InputMetrics_ inputMetrics, OutputMetrics_ outputMetrics)	Creates an instance of a ModelResponse record class.

Uses of Metadata in ai.timefold.solver.service.definition.impl.solver

Methods in ai.timefold.solver.service.definition.impl.solver that return Metadata

Modifier and Type	Method	Description
<Score_, ModelConfigurationOverrides_ extends ModelConfigOverrides> Metadata<Score_>	SolverWorkerFacade.createAndSolveDataset(String id, DatasetSelector select, String runName, Set<String> tags, Configuration<ModelConfigurationOverrides_> configuration)	Creates a new dataset derived from an existing one (identified by id) and immediately schedules it to be solved after validation/compute completes.
<Score_, ModelConfigurationOverrides_ extends ModelConfigOverrides> Metadata<Score_>	SolverWorkerFacade.createAndSolveDataset(String runName, Set<String> tags, ModelInput modelInput, Configuration<ModelConfigurationOverrides_> configuration)	Creates a new dataset from the provided ModelInput and immediately schedules it to be solved after validation/compute completes.
<Score_, ModelConfigurationOverrides_ extends ModelConfigOverrides> Metadata<Score_>	SolverWorkerFacade.createDataset(String id, DatasetSelector select, String runName, Set<String> tags, Configuration<ModelConfigurationOverrides_> configuration)	Creates a new dataset derived from an existing one (identified by id) without starting the solving process.
<Score_, ModelConfigurationOverrides_ extends ModelConfigOverrides> Metadata<Score_>	SolverWorkerFacade.createDataset(String runName, Set<String> tags, ModelInput modelInput, Configuration<ModelConfigurationOverrides_> configuration)	Creates a new dataset from the provided ModelInput without starting the solving process.
<Score_> Metadata<Score_>	SolverWorkerFacade.getMetadata(String id)	Returns the Metadata for the given dataset, or null if none exists.
<Score_, ModelConfigurationOverrides_ extends ModelConfigOverrides> Metadata<Score_>	SolverWorkerFacade.patchAndSolveDataset(String id, DatasetSelector select, String runName, ModelInputPatchRequest<ModelConfigurationOverrides_> modelInputPatchRequest)	Creates a new dataset by applying a JSON patch to an existing dataset's ModelInput and immediately schedules it to be solved after validation/compute completes.
<Score_, ModelConfigurationOverrides_ extends ModelConfigOverrides> Metadata<Score_>	SolverWorkerFacade.patchDataset(String id, DatasetSelector select, String runName, ModelInputPatchRequest<ModelConfigurationOverrides_> modelInputPatchRequest)	Creates a new dataset by applying a JSON patch to an existing dataset's ModelInput, without starting the solving process.
<Score_> Metadata<Score_>	SolverWorkerFacade.solveDataset(String id)	Starts solving an existing dataset identified by the given id.

Methods in ai.timefold.solver.service.definition.impl.solver that return types with arguments of type Metadata

Modifier and Type	Method	Description
<Score_> List<Metadata<Score_>>	SolverWorkerFacade.listRuns(int pageNumber, int pageSize)	Returns a paginated list of dataset runs.

Uses of Metadata in ai.timefold.solver.service.definition.impl.storage.inmemory

Methods in ai.timefold.solver.service.definition.impl.storage.inmemory that return types with arguments of type Metadata

Modifier and Type	Method	Description
List<Metadata>	InMemoryStorage.list(StorageAddress options, int pageNumber, int pageSize)

Uses of Metadata in ai.timefold.solver.service.definition.internal.events

Methods in ai.timefold.solver.service.definition.internal.events that return Metadata

Modifier and Type	Method	Description
Metadata	AbstractDatasetEvent.getMetadata()

Constructors in ai.timefold.solver.service.definition.internal.events with parameters of type Metadata

Modifier	Constructor	Description
protected	AbstractDatasetEvent(Metadata metadata)
	BestSolutionEvent(Metadata metadata, SolverModel model, ai.timefold.solver.core.api.solver.SolverJob job, String planName, String tenantName, String eventProducerId)
	DatasetComputedEvent(Metadata metadata, SolverModel solverModel, String planName, String tenantName, boolean solveRequested, String resolvedMapLocation)
	DatasetCreatedEvent(Metadata metadata)
	DatasetValidatedEvent(Metadata metadata)
	DatasetValidatedEvent(Metadata metadata, ValidationSummary validationSummary)
	FailedSolutionEvent(Metadata metadata, ai.timefold.solver.core.api.solver.SolverJob job, Throwable cause, String planName, String tenantName)
	FinalBestSolutionEvent(Metadata metadata, SolverModel model, ai.timefold.solver.core.api.solver.SolverJob job, String planName, String tenantName)
	InitSolutionEvent(Metadata metadata, SolverModel model, ai.timefold.solver.core.api.solver.SolverJob job, String planName, String tenantName, String eventProducerId)
	ItemFailed(Metadata metadata, Throwable cause, String planName, String tenantName)
	ItemStarted(Metadata metadata, SolverModel solverModel, String planName, String tenantName)
protected	SolverWorkerEvent(Metadata metadata, SolverModel model, ai.timefold.solver.core.api.solver.SolverJob job, String planName, String tenantName, String eventProducerId)

Uses of Metadata in ai.timefold.solver.service.definition.internal.storage

Methods in ai.timefold.solver.service.definition.internal.storage that return Metadata

Modifier and Type	Method	Description
Metadata<Score_>	AbstractStorageService.getMetadata(StorageAddress storageAddress, String id)
Metadata<Score_>	AbstractStorageService.getMetadata(String id)

Methods in ai.timefold.solver.service.definition.internal.storage that return types with arguments of type Metadata

Modifier and Type	Method	Description
default <Score_> List<Metadata<Score_>>	Storage.list(int pageNumber, int pageSize)	Lists data sets (as statuses) stored in the default location of the underlying data store
<Score_> List<Metadata<Score_>>	Storage.list(StorageAddress options, int pageNumber, int pageSize)	Lists data sets (as statuses) stored in the location defined by StorageOptions
List<Metadata<Score_>>	AbstractStorageService.listRuns(int pageNumber, int pageSize)
List<Metadata<Score_>>	AbstractStorageService.listRuns(StorageAddress storageAddress, int pageNumber, int pageSize)

Methods in ai.timefold.solver.service.definition.internal.storage with parameters of type Metadata

Modifier and Type	Method	Description
void	AbstractStorageService.storeMetadata(StorageAddress storageAddress, String id, Metadata<Score_> metadata)
void	AbstractStorageService.storeMetadata(String id, Metadata<Score_> metadata)
void	AbstractStorageService.storeProblem(StorageAddress storageAddress, String id, ModelInput_ modelInput, Metadata<Score_> metadata, Configuration<ModelConfigOverrides_> unprocessedConfiguration, Configuration<ModelConfigOverrides_> configuration)
void	AbstractStorageService.storeProblem(String id, ModelInput_ modelInput, Metadata<Score_> metadata, Configuration<ModelConfigOverrides_> unprocessedConfiguration, Configuration<ModelConfigOverrides_> configuration)
void	AbstractStorageService.storeSolution(String id, ModelOutput_ modelOutput, Metadata<Score_> metadata, InputMetrics_ inputMetrics, OutputMetrics_ outputMetrics)
void	AbstractStorageService.updateMetadata(StorageAddress storageAddress, String id, Metadata<Score_> metadata)
void	AbstractStorageService.updateMetadata(String id, Metadata<Score_> metadata)
void	AbstractStorageService.updateSolution(String id, ModelOutput_ modelOutput, Metadata<Score_> metadata, InputMetrics_ inputMetrics, OutputMetrics_ outputMetrics)