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Merge pull request #537 from nscuro/issue-362
Track API key creation and last usage
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166 changes: 166 additions & 0 deletions
166
alpine-server/src/main/java/alpine/server/filters/ApiKeyUsageTracker.java
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,166 @@ | ||
| /* | ||
| * This file is part of Alpine. | ||
| * | ||
| * 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. | ||
| * | ||
| * SPDX-License-Identifier: Apache-2.0 | ||
| * Copyright (c) Steve Springett. All Rights Reserved. | ||
| */ | ||
| package alpine.server.filters; | ||
|
|
||
| import alpine.common.logging.Logger; | ||
| import alpine.event.framework.LoggableUncaughtExceptionHandler; | ||
| import alpine.model.ApiKey; | ||
| import alpine.persistence.AlpineQueryManager; | ||
| import org.apache.commons.lang3.concurrent.BasicThreadFactory; | ||
| import org.glassfish.jersey.server.monitoring.ApplicationEvent; | ||
| import org.glassfish.jersey.server.monitoring.ApplicationEventListener; | ||
| import org.glassfish.jersey.server.monitoring.RequestEvent; | ||
| import org.glassfish.jersey.server.monitoring.RequestEventListener; | ||
|
|
||
| import javax.jdo.PersistenceManager; | ||
| import javax.jdo.PersistenceManagerFactory; | ||
| import javax.jdo.datastore.JDOConnection; | ||
| import javax.ws.rs.ext.Provider; | ||
| import java.sql.Connection; | ||
| import java.sql.PreparedStatement; | ||
| import java.sql.SQLException; | ||
| import java.sql.Timestamp; | ||
| import java.time.Instant; | ||
| import java.util.HashMap; | ||
| import java.util.Map; | ||
| import java.util.concurrent.ArrayBlockingQueue; | ||
| import java.util.concurrent.BlockingQueue; | ||
| import java.util.concurrent.Executors; | ||
| import java.util.concurrent.ScheduledExecutorService; | ||
| import java.util.concurrent.TimeUnit; | ||
| import java.util.concurrent.locks.Lock; | ||
| import java.util.concurrent.locks.ReentrantLock; | ||
|
|
||
| @Provider | ||
| public class ApiKeyUsageTracker implements ApplicationEventListener { | ||
|
|
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| private record ApiKeyUsedEvent(long keyId, long timestamp) { | ||
| } | ||
|
|
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| private static final Logger LOGGER = Logger.getLogger(ApiKeyUsageTracker.class); | ||
| private static final BlockingQueue<ApiKeyUsedEvent> EVENT_QUEUE = new ArrayBlockingQueue<>(10_000); | ||
|
|
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| private final ScheduledExecutorService flushExecutor; | ||
| private final Lock flushLock; | ||
|
|
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| public ApiKeyUsageTracker() { | ||
| final var threadFactory = new BasicThreadFactory.Builder() | ||
| .uncaughtExceptionHandler(new LoggableUncaughtExceptionHandler()) | ||
| .namingPattern("Alpine-ApiKeyUsageTracker-%d") | ||
| .build(); | ||
| this.flushExecutor = Executors.newSingleThreadScheduledExecutor(threadFactory); | ||
| this.flushLock = new ReentrantLock(); | ||
| } | ||
|
|
||
| @Override | ||
| public void onEvent(final ApplicationEvent event) { | ||
| switch (event.getType()) { | ||
| case INITIALIZATION_FINISHED -> flushExecutor.scheduleAtFixedRate(this::flush, 5, 30, TimeUnit.SECONDS); | ||
| case DESTROY_FINISHED -> { | ||
| flushExecutor.shutdown(); | ||
| try { | ||
| final boolean terminated = flushExecutor.awaitTermination(5, TimeUnit.SECONDS); | ||
| if (!terminated) { | ||
| LOGGER.warn(""" | ||
| Flush executor did not terminate on time (waited for 5s); \ | ||
| Remaining events in the queue: %d""".formatted(EVENT_QUEUE.size())); | ||
| } | ||
| } catch (InterruptedException e) { | ||
| LOGGER.warn("Interrupted while waiting for pending flush tasks to complete"); | ||
| Thread.currentThread().interrupt(); | ||
| } | ||
|
|
||
| flush(); | ||
| } | ||
| } | ||
| } | ||
|
|
||
| @Override | ||
| public RequestEventListener onRequest(final RequestEvent requestEvent) { | ||
| return null; | ||
| } | ||
|
|
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| static void onApiKeyUsed(final ApiKey apiKey) { | ||
| final var event = new ApiKeyUsedEvent(apiKey.getId(), Instant.now().toEpochMilli()); | ||
| if (!EVENT_QUEUE.offer(event)) { | ||
| // Prefer lost events over blocking when the queue is saturated. | ||
| // We do not want to add additional latency to requests. | ||
| LOGGER.debug("Usage of API key %s can not be tracked because the event queue is already saturated" | ||
| .formatted(apiKey.getMaskedKey())); | ||
| } | ||
| } | ||
|
|
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| private void flush() { | ||
| try { | ||
| flushLock.lock(); | ||
| if (EVENT_QUEUE.isEmpty()) { | ||
| return; | ||
| } | ||
|
|
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| final var lastUsedByKeyId = new HashMap<Long, Long>(); | ||
| while (EVENT_QUEUE.peek() != null) { | ||
| final ApiKeyUsedEvent event = EVENT_QUEUE.poll(); | ||
| lastUsedByKeyId.compute(event.keyId(), (ignored, prev) -> { | ||
| if (prev == null) { | ||
| return event.timestamp(); | ||
| } | ||
|
|
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| return Math.max(prev, event.timestamp()); | ||
| }); | ||
| } | ||
|
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| LOGGER.debug("Updating last used timestamps for %d API keys".formatted(lastUsedByKeyId.size())); | ||
| updateLastUsed(lastUsedByKeyId); | ||
| } catch (Exception e) { | ||
| LOGGER.error("Failed to update last used timestamps of API keys", e); | ||
| } finally { | ||
| flushLock.unlock(); | ||
| } | ||
| } | ||
|
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| private void updateLastUsed(final Map<Long, Long> lastUsedByKeyId) throws SQLException { | ||
| try (final var qm = new AlpineQueryManager()) { | ||
| final PersistenceManager pm = qm.getPersistenceManager(); | ||
| final var jdoConnection = (JDOConnection) pm.getDataStoreConnection(); | ||
| final var connection = (Connection) jdoConnection.getNativeConnection(); | ||
| try (final PreparedStatement ps = connection.prepareStatement(""" | ||
| UPDATE "APIKEY" SET "LAST_USED" = ? | ||
| WHERE "ID" = ? AND ("LAST_USED" IS NULL OR "LAST_USED" < ?) | ||
| """)) { | ||
| for (final Map.Entry<Long, Long> entry : lastUsedByKeyId.entrySet()) { | ||
| final var lastUsed = new Timestamp(entry.getValue()); | ||
| ps.setTimestamp(1, lastUsed); | ||
| ps.setLong(2, entry.getKey()); | ||
| ps.setTimestamp(3, lastUsed); | ||
| ps.addBatch(); | ||
| } | ||
|
|
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| ps.executeBatch(); | ||
| } finally { | ||
| jdoConnection.close(); | ||
| } | ||
|
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| // Evict ApiKey objects from L2 cache. | ||
| // DataNucleus does the same when using the bulk UPDATE feature ¯\_(ツ)_/¯ | ||
| final PersistenceManagerFactory pmf = pm.getPersistenceManagerFactory(); | ||
| pmf.getDataStoreCache().evictAll(false, ApiKey.class); | ||
| } | ||
| } | ||
|
|
||
| } |
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