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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.vespa.hosted.node.admin.maintenance.disk;
import java.util.Collection;
import java.util.List;
import java.util.function.Function;
import java.util.function.Supplier;
import java.util.stream.Collectors;
import static com.yahoo.vespa.hosted.node.admin.task.util.file.FileFinder.FileAttributes;
/**
* Prioritizes files by first scoring them with the given scoring function and then mapping the scores to a
* priority within the given range.
* The priority room is evenly split between given lowest and highest priority for range [0, 1.0). Scores below 0
* are assigned lowest, while scores at or higher than 1 are assigned highest priority.
*
* Typical use-case is for log files. The scoring function calculates the file age and normalizes it by dividing it
* by expected max age of log files. The oldest logs will then by prioritized by highest given priority.
*
* @author freva
*/
public class LinearCleanupRule implements DiskCleanupRule {
private final Supplier<List<FileAttributes>> lister;
private final Function<FileAttributes, Priority> prioritizer;
public LinearCleanupRule(Supplier<List<FileAttributes>> lister,
Function<FileAttributes, Double> scorer, Priority lowest, Priority highest) {
if (lowest.ordinal() > highest.ordinal())
throw new IllegalArgumentException("Lowest priority: " + lowest + " is higher than highest priority: " + highest);
this.lister = lister;
Priority[] values = Priority.values();
int range = highest.ordinal() - lowest.ordinal() + 1;
this.prioritizer = fa -> {
int ordinal = (int) (lowest.ordinal() + scorer.apply(fa) * range);
return values[Math.max(lowest.ordinal(), Math.min(highest.ordinal(), ordinal))];
};
}
@Override
public Collection<PrioritizedFileAttributes> prioritize() {
return lister.get().stream()
.map(fa -> new PrioritizedFileAttributes(fa, prioritizer.apply(fa)))
.toList();
}
}
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