此处为Java 8和Apache Camel 2.19.5。我有以下bean处理器:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.neural_network import MLPRegressor
from sklearn.metrics import mean_squared_error
#
i = 1 #difficult index
X_train = np.arange(-2,2,0.1/i).reshape(-1,1)
y_train = 1+ np.sin(i*np.pi*X_train/4)
fig = plt.figure(figsize=(8,8))
ax = fig.add_axes([0,0,1,1])
ax.plot(X_train,y_train,'b*-')
ax.set_xlabel('X_train')
ax.set_ylabel('y_train')
ax.set_title('Function')
nn = MLPRegressor(
hidden_layer_sizes=(1,), activation='tanh', solver='sgd', alpha=0.000, batch_size='auto',
learning_rate='constant', learning_rate_init=0.01, power_t=0.5, max_iter=1000, shuffle=True,
random_state=0, tol=0.0001, verbose=True, warm_start=False, momentum=0.0, nesterovs_momentum=False,
early_stopping=False, validation_fraction=0.1, beta_1=0.9, beta_2=0.999, epsilon=1e-08)
nn = nn.fit(X_train, y_train)
predict_train=nn.predict(X_train)
print('MSE training : {:.3f}'.format(mean_squared_error(y_train, predict_train)))
以及以下骆驼路线:
@Component("foobarResolver")
public class FoobarResolver {
public List<Foobar> resolve(Fizzbuzz fizzbuzz) {
List<Foobar> foobars = new ArrayList<Foobar>();
// Use some logic in here to make the fizzbuzz populate the foobars list.
return foobars;
}
}
@Component("fizzbuzzProcessor")
public class FizzbuzzProcessor {
public FizzbuzzOutput process(Fizzbuzz fizzbuzz) {
// Blah whatever
}
}
如您所见,反序列化的<route id="fizzbuzzHandler">
<!-- XML '<fizzbuzz>' messages get sent here by an upstream process -->
<from uri="activemq:fizzbuzzes"/>
<!-- Use XStream to deserialize the XML into a 'Fizzbuzz' POJO instance -->
<unmarshal ref="xs"/>
<split>
<method ref="bean:foobarResolver"/>
<to uri="activemq:analyze"/>
</split>
<!-- Now assuming our body is once again the Fizzbuzz we can just continue as normal... -->
<!-- Process the fizzbuzz -->
<to uri="bean:fizzbuzzProcessor"/>
<!-- Send fizzbuzzProcessor's output to 'output' queue -->
<to uri="activemq:output"/>
</route>
实例被发送到Fizzbuzz
bean处理器,该处理器将该实例转换为FoobarResolver
,然后关闭每个List<Foobar>
到Foobar
队列中。无论如何,至少那是我设计的意图!
我很好奇的是: 拆分之后,交换主体变成了什么?它是“还原”到analyze
(这就是我想要的),还是现在交换机构是Fizzbuzz
产生的List<Foobar>
(这不是我想要的)?如果主体现在是FoobarResolver
,我该如何重新配置内容,以便List<Foobar>
改为接收FizzbuzzProcessor
?
答案 0 :(得分:1)
出现会还原为拆分前的主体:
@SpringBootApplication
public class SocamelApplication extends RouteBuilder implements ApplicationRunner {
@Autowired
private FooProcessor fooProcessor;
public static void main(String[] args) {
SpringApplication.run(SocamelApplication.class, args);
}
@Override
public void run(ApplicationArguments args) throws Exception {
Thread.sleep(5000);
}
@Override
public void configure() throws Exception {
from("timer://foo?period=100&repeatCount=1").setBody()
.constant(Arrays.asList("Hello", "World"))
.log("1 >>> ${body} ")
.split(body())
.log("2 >>> ${body}")
.bean(fooProcessor)
.log("3 >>> ${body}")
.end()
.log("4 >>> ${body}");
}
@Bean
public FooProcessor fooProcessor() {
return new FooProcessor();
}
}
class FooProcessor implements Processor {
@Override
public void process(Exchange exchange) throws Exception {
String reverseMe = exchange.getIn()
.getBody(String.class);
String reversed = new StringBuilder(reverseMe).reverse()
.toString();
exchange.getOut()
.setBody(reversed);
}
}
收益:
1 >>> Hello,World
2 >>> Hello
3 >>> olleH
2 >>> World
3 >>> dlroW
4 >>> Hello,World