org.lenskit.cli.commands.Graph Maven / Gradle / Ivy
/*
* LensKit, an open source recommender systems toolkit.
* Copyright 2010-2014 LensKit Contributors. See CONTRIBUTORS.md.
* Work on LensKit has been funded by the National Science Foundation under
* grants IIS 05-34939, 08-08692, 08-12148, and 10-17697.
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation; either version 2.1 of the
* License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
* FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
* details.
*
* You should have received a copy of the GNU General Public License along with
* this program; if not, write to the Free Software Foundation, Inc., 51
* Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
package org.lenskit.cli.commands;
import com.google.auto.service.AutoService;
import net.sourceforge.argparse4j.inf.ArgumentParser;
import net.sourceforge.argparse4j.inf.Namespace;
import org.grouplens.grapht.Component;
import org.grouplens.grapht.Dependency;
import org.grouplens.grapht.ResolutionException;
import org.grouplens.grapht.graph.DAGNode;
import org.lenskit.api.RecommenderBuildException;
import org.lenskit.data.dao.EventDAO;
import org.lenskit.*;
import org.lenskit.data.ratings.PreferenceDomain;
import org.lenskit.graph.GraphDumper;
import org.lenskit.inject.RecommenderGraphBuilder;
import org.lenskit.cli.Command;
import org.lenskit.cli.util.ScriptEnvironment;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import javax.inject.Provider;
import java.io.File;
import java.io.IOException;
import java.util.List;
/**
* Command that draws a diagram of a recommender configuration.
*
* @since 2.1
* @author GroupLens Research
*/
@AutoService(Command.class)
public class Graph implements Command {
private final Logger logger = LoggerFactory.getLogger(Graph.class);
@Override
public String getName() {
return "graph";
}
@Override
public String getHelp() {
return "diagram a recommender configuration";
}
private LenskitConfiguration makeDataConfig(Context ctx) {
LenskitConfiguration config = new LenskitConfiguration();
config.bind(EventDAO.class).toProvider(new DAOProvider());
String dspec = ctx.options.getString("domain");
if (dspec != null) {
PreferenceDomain domain = PreferenceDomain.fromString(dspec);
config.bind(PreferenceDomain.class).to(domain);
}
return config;
}
/**
* Load a configuration graph from a recommender model.
* @param file The model file.
* @return The recommender graph.
* @throws IOException
* @throws RecommenderConfigurationException
*/
private DAGNode loadModel(Context ctx, File file) throws IOException, RecommenderConfigurationException {
logger.info("loading model from {}", file);
LenskitRecommenderEngineLoader loader = LenskitRecommenderEngine.newLoader();
loader.setValidationMode(EngineValidationMode.DEFERRED)
.addConfiguration(makeDataConfig(ctx));
for (LenskitConfiguration config: ctx.environment.loadConfigurations(ctx.getConfigFiles())) {
loader.addConfiguration(config);
}
LenskitRecommenderEngine engine = loader.load(file);
return engine.getGraph();
}
/**
* Build a configured recommender graph from the specified configurations.
* @return The configuration graph.
* @throws IOException
* @throws RecommenderConfigurationException
*/
private DAGNode makeNewGraph(Context ctx) throws IOException, RecommenderConfigurationException {
RecommenderGraphBuilder rgb = new RecommenderGraphBuilder();
rgb.addConfiguration(makeDataConfig(ctx));
for (LenskitConfiguration config: ctx.environment.loadConfigurations(ctx.getConfigFiles())) {
rgb.addConfiguration(config);
}
try {
return rgb.buildGraph();
} catch (ResolutionException e) {
throw new RecommenderConfigurationException("Cannot configure recommender", e);
}
}
@Override
public void execute(Namespace opts) throws IOException, RecommenderBuildException {
Context ctx = new Context(opts);
File modelFile = opts.get("model_file");
DAGNode graph;
if (modelFile != null) {
graph = loadModel(ctx, modelFile);
} else {
graph = makeNewGraph(ctx);
}
File output = ctx.getOutputFile();
logger.info("writing graph to {}", output);
GraphDumper.renderGraph(graph, output);
}
public void configureArguments(ArgumentParser parser) {
parser.description("Generates a visualization of a recommender configuration. " +
"This visualization is intended to be viewed with GraphViz.");
ScriptEnvironment.configureArguments(parser);
parser.addArgument("-o", "--output-file")
.type(File.class)
.metavar("FILE")
.setDefault(new File("recommender.dot"))
.help("write recommender diagram to FILE");
parser.addArgument("--domain")
.metavar("DOMAIN")
.help("specify preference domain");
parser.addArgument("--model-file")
.metavar("FILE")
.type(File.class)
.help("load saved model from FILE");
parser.addArgument("config")
.type(File.class)
.metavar("CONFIG")
.nargs("*")
.help("load algorithm configuration from file CONFIG");
}
private static class DAOProvider implements Provider {
@Override
public EventDAO get() {
return null;
}
@Override
public String toString() {
return "Data";
}
}
private static class Context {
private final Namespace options;
private final ScriptEnvironment environment;
public Context(Namespace opts) {
options = opts;
environment = new ScriptEnvironment(opts);
}
public List getConfigFiles() {
return options.get("config");
}
public File getOutputFile() {
return options.get("output_file");
}
}
}
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