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Timefold solves planning problems.
This lightweight, embeddable planning engine implements powerful and scalable algorithms
to optimize business resource scheduling and planning.
This module contains the core implementation of the Python solver.
package ai.timefold.solver.python.logging;
import ch.qos.logback.classic.Level;
public enum PythonLogLevel {
CRITICAL(50, Level.ERROR),
ERROR(40, Level.ERROR),
WARNING(30, Level.WARN),
INFO(20, Level.INFO),
DEBUG(10, Level.DEBUG),
TRACE(5, Level.TRACE),
NOTSET(0, Level.INFO);
final int pythonLevelNumber;
final Level javaLogLevel;
PythonLogLevel(int pythonLevelNumber, Level javaLogLevel) {
this.pythonLevelNumber = pythonLevelNumber;
this.javaLogLevel = javaLogLevel;
}
public int getPythonLevelNumber() {
return pythonLevelNumber;
}
public Level getJavaLogLevel() {
return javaLogLevel;
}
public static PythonLogLevel fromJavaLevel(Level level) {
// Check INFO and ERROR first, since they have multiple corresponding
// Python levels
if (level.equals(Level.INFO)) {
return INFO;
} else if (level.equals(Level.ERROR)) {
return ERROR;
} else {
int levelNumber = level.toInt();
for (PythonLogLevel pythonLogLevel : PythonLogLevel.values()) {
if (pythonLogLevel.getJavaLogLevel().toInt() == levelNumber) {
return pythonLogLevel;
}
}
throw new IllegalStateException("Unmatched log level (" + level + ") with level number (" + level.toInt() + ").");
}
}
public static PythonLogLevel fromPythonLevelNumber(int levelNumber) {
PythonLogLevel bestMatch = PythonLogLevel.CRITICAL;
int bestMatchLevelNumber = 50;
for (PythonLogLevel pythonLogLevel : PythonLogLevel.values()) {
if (pythonLogLevel.pythonLevelNumber >= levelNumber && pythonLogLevel.pythonLevelNumber < bestMatchLevelNumber) {
bestMatch = pythonLogLevel;
}
}
return bestMatch;
}
}