content: /*
   * Licensed to the Apache Software Foundation (ASF) under one or more
   * contributor license agreements.  See the NOTICE file distributed with
   * this work for additional information regarding copyright ownership.
   * The ASF licenses this file to You 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 org.apache.camel.component.torchserve.springboot;
  
  import org.apache.camel.component.torchserve.TorchServeConfiguration;
  import org.apache.camel.component.torchserve.client.model.RegisterOptions;
  import org.apache.camel.component.torchserve.client.model.ScaleWorkerOptions;
  import org.apache.camel.component.torchserve.client.model.UnregisterOptions;
  import org.apache.camel.spring.boot.ComponentConfigurationPropertiesCommon;
  import org.springframework.boot.context.properties.ConfigurationProperties;
  
  /**
   * Provide access to PyTorch TorchServe servers to run inference with PyTorch
   * models remotely
   * 
   * Generated by camel-package-maven-plugin - do not edit this file!
   */
  @ConfigurationProperties(prefix = "camel.component.torchserve")
  public class TorchServeComponentConfiguration
          extends
              ComponentConfigurationPropertiesCommon {
  
      /**
       * Whether to enable auto configuration of the torchserve component. This is
       * enabled by default.
       */
      private Boolean enabled;
      /**
       * The configuration. The option is a
       * org.apache.camel.component.torchserve.TorchServeConfiguration type.
       */
      private TorchServeConfiguration configuration;
      /**
       * The name of model.
       */
      private String modelName;
      /**
       * The version of model.
       */
      private String modelVersion;
      /**
       * Whether the producer should be started lazy (on the first message). By
       * starting lazy you can use this to allow CamelContext and routes to
       * startup in situations where a producer may otherwise fail during starting
       * and cause the route to fail being started. By deferring this startup to
       * be lazy then the startup failure can be handled during routing messages
       * via Camel's routing error handlers. Beware that when the first message is
       * processed then creating and starting the producer may take a little time
       * and prolong the total processing time of the processing.
       */
      private Boolean lazyStartProducer = false;
      /**
       * Whether autowiring is enabled. This is used for automatic autowiring
       * options (the option must be marked as autowired) by looking up in the
       * registry to find if there is a single instance of matching type, which
       * then gets configured on the component. This can be used for automatic
       * configuring JDBC data sources, JMS connection factories, AWS Clients,
       * etc.
       */
      private Boolean autowiredEnabled = true;
      /**
       * Used for enabling or disabling all consumer based health checks from this
       * component
       */
      private Boolean healthCheckConsumerEnabled = true;
      /**
       * Used for enabling or disabling all producer based health checks from this
       * component. Notice: Camel has by default disabled all producer based
       * health-checks. You can turn on producer checks globally by setting
       * camel.health.producersEnabled=true.
       */
      private Boolean healthCheckProducerEnabled = true;
      /**
       * The address of the inference API endpoint.
       */
      private String inferenceAddress;
      /**
       * The port of the inference API endpoint.
       */
      private Integer inferencePort = 8080;
      /**
       * The maximum number of items to return for the list operation. When this
       * value is present, TorchServe does not return more than the specified
       * number of items, but it might return fewer. This value is optional. If
       * you include a value, it must be between 1 and 1000, inclusive. If you do
       * not include a value, it defaults to 100.
       */
      private Integer listLimit = 100;
      /**
       * The token to retrieve the next set of results for the list operation.
       * TorchServe provides the token when the response from a previous call has
       * more results than the maximum page size.
       */
      private String listNextPageToken;
      /**
       * The address of the management API endpoint.
       */
      private String managementAddress;
      /**
       * The port of the management API endpoint.
       */
      private Integer managementPort = 8081;
      /**
       * Additional options for the register operation. The option is a
       * org.apache.camel.component.torchserve.client.model.RegisterOptions type.
       */
      private RegisterOptions registerOptions;
      /**
       * Additional options for the scale-worker operation. The option is a
       * org.apache.camel.component.torchserve.client.model.ScaleWorkerOptions
       * type.
       */
      private ScaleWorkerOptions scaleWorkerOptions;
      /**
       * Additional options for the unregister operation. The option is a
       * org.apache.camel.component.torchserve.client.model.UnregisterOptions
       * type.
       */
      private UnregisterOptions unregisterOptions;
      /**
       * Model archive download url, support local file or HTTP(s) protocol. For
       * S3, consider using pre-signed url.
       */
      private String url;
      /**
       * The address of the metrics API endpoint.
       */
      private String metricsAddress;
      /**
       * Names of metrics to filter.
       */
      private String metricsName;
      /**
       * The port of the metrics API endpoint.
       */
      private Integer metricsPort = 8082;
      /**
       * The token authorization key for accessing the inference API.
       */
      private String inferenceKey;
      /**
       * The token authorization key for accessing the management API.
       */
      private String managementKey;
  
      public TorchServeConfiguration getConfiguration() {
          return configuration;
      }
  
      public void setConfiguration(TorchServeConfiguration configuration) {
          this.configuration = configuration;
      }
  
      public String getModelName() {
          return modelName;
      }
  
      public void setModelName(String modelName) {
          this.modelName = modelName;
      }
  
      public String getModelVersion() {
          return modelVersion;
      }
  
      public void setModelVersion(String modelVersion) {
          this.modelVersion = modelVersion;
      }
  
      public Boolean getLazyStartProducer() {
          return lazyStartProducer;
      }
  
      public void setLazyStartProducer(Boolean lazyStartProducer) {
          this.lazyStartProducer = lazyStartProducer;
      }
  
      public Boolean getAutowiredEnabled() {
          return autowiredEnabled;
      }
  
      public void setAutowiredEnabled(Boolean autowiredEnabled) {
          this.autowiredEnabled = autowiredEnabled;
      }
  
      public Boolean getHealthCheckConsumerEnabled() {
          return healthCheckConsumerEnabled;
      }
  
      public void setHealthCheckConsumerEnabled(Boolean healthCheckConsumerEnabled) {
          this.healthCheckConsumerEnabled = healthCheckConsumerEnabled;
      }
  
      public Boolean getHealthCheckProducerEnabled() {
          return healthCheckProducerEnabled;
      }
  
      public void setHealthCheckProducerEnabled(Boolean healthCheckProducerEnabled) {
          this.healthCheckProducerEnabled = healthCheckProducerEnabled;
      }
  
      public String getInferenceAddress() {
          return inferenceAddress;
      }
  
      public void setInferenceAddress(String inferenceAddress) {
          this.inferenceAddress = inferenceAddress;
      }
  
      public Integer getInferencePort() {
          return inferencePort;
      }
  
      public void setInferencePort(Integer inferencePort) {
          this.inferencePort = inferencePort;
      }
  
      public Integer getListLimit() {
          return listLimit;
      }
  
      public void setListLimit(Integer listLimit) {
          this.listLimit = listLimit;
      }
  
      public String getListNextPageToken() {
          return listNextPageToken;
      }
  
      public void setListNextPageToken(String listNextPageToken) {
          this.listNextPageToken = listNextPageToken;
      }
  
      public String getManagementAddress() {
          return managementAddress;
      }
  
      public void setManagementAddress(String managementAddress) {
          this.managementAddress = managementAddress;
      }
  
      public Integer getManagementPort() {
          return managementPort;
      }
  
      public void setManagementPort(Integer managementPort) {
          this.managementPort = managementPort;
      }
  
      public RegisterOptions getRegisterOptions() {
          return registerOptions;
      }
  
      public void setRegisterOptions(RegisterOptions registerOptions) {
          this.registerOptions = registerOptions;
      }
  
      public ScaleWorkerOptions getScaleWorkerOptions() {
          return scaleWorkerOptions;
      }
  
      public void setScaleWorkerOptions(ScaleWorkerOptions scaleWorkerOptions) {
          this.scaleWorkerOptions = scaleWorkerOptions;
      }
  
      public UnregisterOptions getUnregisterOptions() {
          return unregisterOptions;
      }
  
      public void setUnregisterOptions(UnregisterOptions unregisterOptions) {
          this.unregisterOptions = unregisterOptions;
      }
  
      public String getUrl() {
          return url;
      }
  
      public void setUrl(String url) {
          this.url = url;
      }
  
      public String getMetricsAddress() {
          return metricsAddress;
      }
  
      public void setMetricsAddress(String metricsAddress) {
          this.metricsAddress = metricsAddress;
      }
  
      public String getMetricsName() {
          return metricsName;
      }
  
      public void setMetricsName(String metricsName) {
          this.metricsName = metricsName;
      }
  
      public Integer getMetricsPort() {
          return metricsPort;
      }
  
      public void setMetricsPort(Integer metricsPort) {
          this.metricsPort = metricsPort;
      }
  
      public String getInferenceKey() {
          return inferenceKey;
      }
  
      public void setInferenceKey(String inferenceKey) {
          this.inferenceKey = inferenceKey;
      }
  
      public String getManagementKey() {
          return managementKey;
      }
  
      public void setManagementKey(String managementKey) {
          this.managementKey = managementKey;
      }
  }