我正在尝试创建一个调用另一个的webservice链。我已经创建了第一个服务并成功部署在weblogic12c上。 当第一个webservice尝试调用外部Web服务时,存在以下异常。
----notifyAbout----
WSTestOuter outer = new WSTestOuter(getWsdlLocation(), new QName("http://www.example.com/abcd/soa/wsdl", "WSTestOuter"));
WSTestOuterPort outerPort =outer.getWSTestOuterPort();
异常;
java.lang.RuntimeException: MASM0015: Class [ com.sun.xml.ws.assembler.jaxws.HandlerTubeFactory ] does not implement [ com.sun.xml.internal.ws.assembler.dev.TubeFactory ] interface
at com.sun.xml.internal.ws.assembler.TubeCreator.<init>(TubeCreator.java:63)
at com.sun.xml.internal.ws.assembler.TubelineAssemblyController.initializeTubeCreators(TubelineAssemblyController.java:116)
at com.sun.xml.internal.ws.assembler.TubelineAssemblyController.getTubeCreators(TubelineAssemblyController.java:79)
at com.sun.xml.internal.ws.assembler.MetroTubelineAssembler.createClient(MetroTubelineAssembler.java:103)
at com.sun.xml.internal.ws.client.Stub.createPipeline(Stub.java:328)
at com.sun.xml.internal.ws.client.Stub.<init>(Stub.java:295)
at com.sun.xml.internal.ws.client.Stub.<init>(Stub.java:228)
at com.sun.xml.internal.ws.client.Stub.<init>(Stub.java:243)
at com.sun.xml.internal.ws.client.sei.SEIStub.<init>(SEIStub.java:84)
at com.sun.xml.internal.ws.client.WSServiceDelegate.getStubHandler(WSServiceDelegate.java:814)
at com.sun.xml.internal.ws.client.WSServiceDelegate.createEndpointIFBaseProxy(WSServiceDelegate.java:803)
at com.sun.xml.internal.ws.client.WSServiceDelegate.getPort(WSServiceDelegate.java:436)
at com.sun.xml.internal.ws.client.WSServiceDelegate.getPort(WSServiceDelegate.java:404)
at com.sun.xml.internal.ws.client.WSServiceDelegate.getPort(WSServiceDelegate.java:459)
at com.sun.xml.internal.ws.client.WSServiceDelegate.getPort(WSServiceDelegate.java:463)
at javax.xml.ws.Service.getPort(Service.java:188)
at com.xyz.abcd.soa.hop.ws.impl.WSTest.notifyAbout(WSTest.java:126)
我有什么建议可以尝试吗?
答案 0 :(得分:0)
Weblogic 12c安装将有com.oracle.webservices.wls.jaxws-wlswss-client.jar。把它放在CLASSPATH中。它应该解决这个问题。
答案 1 :(得分:0)
我已经在项目中添加了import pandas as pd
df = pd.read_csv('nn.csv')
df = df.fillna(df.mean()['IndustrialP'])
df.head()
Word1 Word2 Word3 Word4 Word5 IndustrialP
0 0 15 1 0 0 107.35586
1 0 15 1 0 0 110.50964
2 0 13 1 0 0 113.66342
y=df.IndustrialP
X=df.drop('IndustrialP', axis=1)
split = int(len(df)*0.8)
X_train, X_test, y_train, y_test = X[:split], X[split:], y[:split], y[split:]
import tensorflow as tf
from keras.models import Sequential
from keras.layers import Dense
model = Sequential([
Dense(32, activation='relu', input_shape=(5,)),
Dense(32, activation='relu'),
Dense(1, activation='sigmoid'),
])
model.compile(loss="mean_squared_error", optimizer="sgd")
model.fit(X_train, y_train, batch_size=20, epochs=50)
,问题已经解决。