reactivefeign.retry.SimpleReactiveRetryPolicy Maven / Gradle / Ivy
/**
* Copyright 2018 The Feign Authors
*
* 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 reactivefeign.retry;
import feign.ExceptionPropagationPolicy;
import reactor.core.Exceptions;
import reactor.core.publisher.Flux;
import reactor.core.publisher.Mono;
import reactor.core.scheduler.Scheduler;
import reactor.util.function.Tuples;
import reactor.util.retry.Retry;
import java.time.Duration;
/**
* @author Sergii Karpenko
*/
public abstract class SimpleReactiveRetryPolicy implements ReactiveRetryPolicy {
private final Scheduler scheduler;
private final ExceptionPropagationPolicy exceptionPropagationPolicy;
protected SimpleReactiveRetryPolicy(
Scheduler scheduler,
ExceptionPropagationPolicy exceptionPropagationPolicy) {
this.scheduler = scheduler;
this.exceptionPropagationPolicy = exceptionPropagationPolicy;
}
@Override
public ExceptionPropagationPolicy exceptionPropagationPolicy(){
return exceptionPropagationPolicy != null
? exceptionPropagationPolicy
: ReactiveRetryPolicy.super.exceptionPropagationPolicy();
}
/**
* @param error
* @param attemptNo
* @return -1 if should not be retried, 0 if retry immediately
*/
abstract public long retryDelay(Throwable error, int attemptNo);
@Override
public Retry retry() {
return Retry.from(errors -> errors
.zipWith(Flux.range(1, maxAllowedRetries() + 1), (signal, index) -> {
long delay = retryDelay(signal.failure(), index);
if (delay >= 0) {
return Tuples.of(delay, signal);
} else {
throw Exceptions.propagate(signal.failure());
}
}).concatMap(
tuple2 -> tuple2.getT1() > 0
? Mono.delay(Duration.ofMillis(tuple2.getT1()), scheduler)
.map(time -> tuple2.getT2().failure())
: Mono.just(tuple2.getT2().failure())));
}
}