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Gpt 5.2 Run 3 #2

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9db8d5d
Changes made by Agent
Parth1811 Jan 23, 2026
aedfa1b
Fixed docker build things
Parth1811 Jan 23, 2026
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14 changes: 7 additions & 7 deletions examples/docker/docker-compose_default.yaml
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Original file line number Diff line number Diff line change
@@ -1,17 +1,17 @@
version: '3'
services:
registry:
image: descartesresearch/teastore-registry
image: gpt-teastore/teastore-registry
expose:
- "8080"
db:
image: descartesresearch/teastore-db
image: gpt-teastore/teastore-db
expose:
- "3306"
ports:
- "3306:3306"
persistence:
image: descartesresearch/teastore-persistence
image: gpt-teastore/teastore-persistence
expose:
- "8080"
environment:
Expand All @@ -20,28 +20,28 @@ services:
DB_HOST: "db"
DB_PORT: "3306"
auth:
image: descartesresearch/teastore-auth
image: gpt-teastore/teastore-auth
expose:
- "8080"
environment:
HOST_NAME: "auth"
REGISTRY_HOST: "registry"
image:
image: descartesresearch/teastore-image
image: gpt-teastore/teastore-image
expose:
- "8080"
environment:
HOST_NAME: "image"
REGISTRY_HOST: "registry"
recommender:
image: descartesresearch/teastore-recommender
image: gpt-teastore/teastore-recommender
expose:
- "8080"
environment:
HOST_NAME: "recommender"
REGISTRY_HOST: "registry"
webui:
image: descartesresearch/teastore-webui
image: gpt-teastore/teastore-webui
expose:
- "8080"
environment:
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864 changes: 434 additions & 430 deletions ...sistence/src/main/java/tools/descartes/teastore/persistence/repository/DataGenerator.java
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Binary file modified ...persistence/src/main/java/tools/descartes/teastore/persistence/repository/EMFManager.java
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329 changes: 145 additions & 184 deletions ...der/src/main/java/tools/descartes/teastore/recommender/algorithm/RecommenderSelector.java
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@@ -1,184 +1,145 @@
/**
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package tools.descartes.teastore.recommender.algorithm;

import java.lang.reflect.InvocationTargetException;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

import javax.naming.InitialContext;
import javax.naming.NamingException;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import tools.descartes.teastore.recommender.algorithm.impl.UseFallBackException;
import tools.descartes.teastore.recommender.algorithm.impl.cf.PreprocessedSlopeOneRecommender;
import tools.descartes.teastore.recommender.algorithm.impl.cf.SlopeOneRecommender;
import tools.descartes.teastore.recommender.algorithm.impl.orderbased.OrderBasedRecommender;
import tools.descartes.teastore.recommender.algorithm.impl.pop.PopularityBasedRecommender;
import tools.descartes.teastore.entities.Order;
import tools.descartes.teastore.entities.OrderItem;

/**
* A strategy selector for the Recommender functionality.
*
* @author Johannes Grohmann
*
*/
public final class RecommenderSelector implements IRecommender {

/**
* This map lists all currently available recommending approaches and assigns
* them their "name" for the environment variable.
*/
private static Map<String, Class<? extends IRecommender>> recommenders = new HashMap<>();

static {
recommenders = new HashMap<String, Class<? extends IRecommender>>();
recommenders.put("Popularity", PopularityBasedRecommender.class);
recommenders.put("SlopeOne", SlopeOneRecommender.class);
recommenders.put("PreprocessedSlopeOne", PreprocessedSlopeOneRecommender.class);
recommenders.put("OrderBased", OrderBasedRecommender.class);
}

/**
* The default recommender to choose, if no other recommender was set.
*/
private static final Class<? extends IRecommender> DEFAULT_RECOMMENDER = SlopeOneRecommender.class;

private static final Logger LOG = LoggerFactory.getLogger(RecommenderSelector.class);

private static RecommenderSelector instance;

private IRecommender fallbackrecommender;

private IRecommender recommender;

/**
* Private Constructor.
*/
private RecommenderSelector() {
fallbackrecommender = new PopularityBasedRecommender();
try {
String recommendername = (String) new InitialContext().lookup("java:comp/env/recommenderAlgorithm");
// if a specific algorithm is set, we can use that algorithm
if (recommenders.containsKey(recommendername)) {
try {
recommender = recommenders.get(recommendername).getDeclaredConstructor().newInstance();
} catch (IllegalArgumentException e) {
e.printStackTrace();
} catch (InvocationTargetException e) {
e.printStackTrace();
} catch (NoSuchMethodException e) {
e.printStackTrace();
} catch (SecurityException e) {
e.printStackTrace();
}
} else {
LOG.warn("Recommendername: " + recommendername
+ " was not found. Using default recommender (SlopeOneRecommeder).");
try {
recommender = DEFAULT_RECOMMENDER.getDeclaredConstructor().newInstance();
} catch (IllegalArgumentException e) {
e.printStackTrace();
} catch (InvocationTargetException e) {
e.printStackTrace();
} catch (NoSuchMethodException e) {
e.printStackTrace();
} catch (SecurityException e) {
e.printStackTrace();
}
}
} catch (InstantiationException | IllegalAccessException e) {
// if creating a new instance fails
e.printStackTrace();
LOG.warn("Could not create an instance of the requested recommender. Using fallback.");
recommender = fallbackrecommender;
} catch (NamingException e) {
// if nothing was set
LOG.info("Recommender not set. Using default recommender (SlopeOneRecommeder).");
try {
try {
recommender = DEFAULT_RECOMMENDER.getDeclaredConstructor().newInstance();
} catch (IllegalArgumentException e1) {
e1.printStackTrace();
} catch (InvocationTargetException e1) {
e1.printStackTrace();
} catch (NoSuchMethodException e1) {
e1.printStackTrace();
} catch (SecurityException e1) {
e1.printStackTrace();
}
} catch (InstantiationException | IllegalAccessException e1) {
// also the default algorithm could fail
e1.printStackTrace();
LOG.warn("Could not create an instance of DEFAULT_RECOMMENDER " + DEFAULT_RECOMMENDER.getName() + ".");
recommender = fallbackrecommender;
}
}
}

@Override
public List<Long> recommendProducts(Long userid, List<OrderItem> currentItems)
throws UnsupportedOperationException {
try {
return recommender.recommendProducts(userid, currentItems);
} catch (UseFallBackException e) {
// a UseFallBackException is usually ignored (as it is conceptual and might
// occur quite often)
LOG.trace("Executing " + recommender.getClass().getName()
+ " as recommender failed. Using fallback recommender. Reason:\n" + e.getMessage());
return fallbackrecommender.recommendProducts(userid, currentItems);
} catch (UnsupportedOperationException e) {
// if algorithm is not yet trained, we throw the error
LOG.error("Executing " + recommender.getClass().getName()
+ " threw an UnsupportedOperationException. The recommender was not finished with training.");
throw e;
} catch (Exception e) {
// any other exception is just reported
LOG.warn("Executing " + recommender.getClass().getName()
+ " threw an unexpected error. Using fallback recommender. Reason:\n" + e.getMessage());
return fallbackrecommender.recommendProducts(userid, currentItems);
}
}

/**
* Returns the instance of this Singleton or creates a new one, if this is the
* first call of this method.
*
* @return The instance of this class.
*/
public static synchronized RecommenderSelector getInstance() {
if (instance == null) {
instance = new RecommenderSelector();
}
return instance;
}

/*
* (non-Javadoc)
*
* @see
* tools.descartes.teastore.recommender.IRecommender#train(java.util.List,
* java.util.List)
*/
@Override
public void train(List<OrderItem> orderItems, List<Order> orders) {
recommender.train(orderItems, orders);
fallbackrecommender.train(orderItems, orders);
}

}
/**
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package tools.descartes.teastore.recommender.algorithm;

import java.lang.reflect.InvocationTargetException;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

import javax.naming.InitialContext;
import javax.naming.NamingException;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import tools.descartes.teastore.recommender.algorithm.impl.UseFallBackException;
import tools.descartes.teastore.recommender.algorithm.impl.cf.PreprocessedSlopeOneRecommender;
import tools.descartes.teastore.recommender.algorithm.impl.cf.SlopeOneRecommender;
import tools.descartes.teastore.recommender.algorithm.impl.orderbased.OrderBasedRecommender;
import tools.descartes.teastore.recommender.algorithm.impl.pop.PopularityBasedRecommender;
import tools.descartes.teastore.entities.Order;
import tools.descartes.teastore.entities.OrderItem;

/**
* A strategy selector for the Recommender functionality.
*
* @author Johannes Grohmann
*
*/
public final class RecommenderSelector implements IRecommender {

/**
* This map lists all currently available recommending approaches and assigns
* them their "name" for the environment variable.
*/
private static Map<String, Class<? extends IRecommender>> recommenders = new HashMap<>();

static {
recommenders = new HashMap<String, Class<? extends IRecommender>>();
recommenders.put("Popularity", PopularityBasedRecommender.class);
recommenders.put("SlopeOne", SlopeOneRecommender.class);
recommenders.put("PreprocessedSlopeOne", PreprocessedSlopeOneRecommender.class);
recommenders.put("OrderBased", OrderBasedRecommender.class);
}

/**
* The default recommender to choose, if no other recommender was set.
*/
private static final Class<? extends IRecommender> DEFAULT_RECOMMENDER = SlopeOneRecommender.class;

private static final Logger LOG = LoggerFactory.getLogger(RecommenderSelector.class);

private static final RecommenderSelector INSTANCE = new RecommenderSelector();

private final IRecommender fallbackrecommender;

private final IRecommender recommender;

/**
* Private Constructor.
*/
private RecommenderSelector() {
fallbackrecommender = new PopularityBasedRecommender();
IRecommender selected;
try {
String recommendername = (String) new InitialContext().lookup("java:comp/env/recommenderAlgorithm");
// if a specific algorithm is set, we can use that algorithm
if (recommenders.containsKey(recommendername)) {
selected = instantiate(recommenders.get(recommendername));
} else {
LOG.warn("Recommendername: " + recommendername
+ " was not found. Using default recommender (SlopeOneRecommeder).");
selected = instantiate(DEFAULT_RECOMMENDER);
}
} catch (NamingException e) {
// if nothing was set
LOG.info("Recommender not set. Using default recommender (SlopeOneRecommeder).");
selected = instantiate(DEFAULT_RECOMMENDER);
}
recommender = selected != null ? selected : fallbackrecommender;
}

private static IRecommender instantiate(Class<? extends IRecommender> clazz) {
try {
return clazz.getDeclaredConstructor().newInstance();
} catch (InstantiationException | IllegalAccessException e) {
e.printStackTrace();
LOG.warn("Could not create an instance of the requested recommender. Using fallback.");
return null;
} catch (IllegalArgumentException | InvocationTargetException | NoSuchMethodException | SecurityException e) {
e.printStackTrace();
return null;
}
}

@Override
public List<Long> recommendProducts(Long userid, List<OrderItem> currentItems) throws UnsupportedOperationException {
try {
return recommender.recommendProducts(userid, currentItems);
} catch (UseFallBackException e) {
// a UseFallBackException is usually ignored (as it is conceptual and might
// occur quite often)
LOG.trace("Executing " + recommender.getClass().getName()
+ " as recommender failed. Using fallback recommender. Reason:\n" + e.getMessage());
return fallbackrecommender.recommendProducts(userid, currentItems);
} catch (UnsupportedOperationException e) {
// if algorithm is not yet trained, we throw the error
LOG.error("Executing " + recommender.getClass().getName()
+ " threw an UnsupportedOperationException. The recommender was not finished with training.");
throw e;
} catch (Exception e) {
// any other exception is just reported
LOG.warn("Executing " + recommender.getClass().getName()
+ " threw an unexpected error. Using fallback recommender. Reason:\n" + e.getMessage());
return fallbackrecommender.recommendProducts(userid, currentItems);
}
}

/**
* Returns the instance of this Singleton.
*
* @return The instance of this class.
*/
public static RecommenderSelector getInstance() {
return INSTANCE;
}

@Override
public void train(List<OrderItem> orderItems, List<Order> orders) {
recommender.train(orderItems, orders);
fallbackrecommender.train(orderItems, orders);
}

}
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