Question

我使用Express 4，并且我使用中间件http-proxy-middleware（https://github.com/chimurai/http-proxy-middleware），并且遇到以下问题

通常情况下，我可以执行以下操作以在返回客户端之前完成响应

app.get('/v1/users/:username', function(request, response, next) {
    var username = request.params.username;
    findUserByUsername(username, function(error, user) {
        if (error) return next(error);
        return response.render('user', user);
    });
});

但如果我使用代理，如何执行自定义逻辑，让我说我想在响应客户端之前操纵一些数据？使用这个中间件有一个很好的模式吗？

app.use('/api', proxy({target: 'http://www.example.org', changeOrigin: true}));

以下是我在github中提出的问题的反向链接 - https://github.com/chimurai/http-proxy-middleware/issues/97

任何帮助都将不胜感激。

Answer 1

根据http-proxy的官方文档，我认为这是正确的方法。 modify -response

An error occurred while calling z:org.apache.spark.api.python.PythonRDD.runJob.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 24.0 failed 4 times, most recent failure: Lost task 0.3 in stage 24.0 (TID 104, wn0-nkhlla.535cxyjeursebhq0ajgymk5xab.tx.internal.cloudapp.net, executor 2): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
  File "/usr/hdp/current/spark2-client/python/pyspark/sql/types.py", line 1556, in __getattr__
    idx = self.__fields__.index(item)
ValueError: 'word' is not in list`

`During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/hdp/current/spark2-client/python/pyspark/worker.py", line 253, in main
    process()
  File "/usr/hdp/current/spark2-client/python/pyspark/worker.py", line 248, in process
    serializer.dump_stream(func(split_index, iterator), outfile)
  File "/usr/hdp/current/spark2-client/python/pyspark/serializers.py", line 379, in dump_stream
    vs = list(itertools.islice(iterator, batch))
  File "/usr/hdp/current/spark2-client/python/pyspark/rdd.py", line 1352, in takeUpToNumLeft
    yield next(iterator)
  File "/usr/hdp/current/spark2-client/python/pyspark/util.py", line 55, in wrapper
    return f(*args, **kwargs)
  File "<stdin>", line 2, in extract
  File "/usr/hdp/current/spark2-client/python/pyspark/sql/types.py", line 1561, in __getattr__
    raise AttributeError(item)
AttributeError: word

    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:330)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:470)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:453)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:284)
    at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
    at scala.collection.Iterator$class.foreach(Iterator.scala:893)
    at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
    at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
    at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
    at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
    at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
    at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
    at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:152)
    at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:152)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
    at org.apache.spark.scheduler.Task.run(Task.scala:109)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)`

`Driver stacktrace:
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1651)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1639)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1638)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1638)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
    at scala.Option.foreach(Option.scala:257)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1872)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1821)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1810)
    at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2034)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2055)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2074)
    at org.apache.spark.api.python.PythonRDD$.runJob(PythonRDD.scala:152)
    at org.apache.spark.api.python.PythonRDD.runJob(PythonRDD.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
    at py4j.Gateway.invoke(Gateway.java:282)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:238)
    at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent call last):
  File "/usr/hdp/current/spark2-client/python/pyspark/sql/types.py", line 1556, in __getattr__
    idx = self.__fields__.index(item)
ValueError: 'word' is not in list`

`During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/hdp/current/spark2-client/python/pyspark/worker.py", line 253, in main
    process()
  File "/usr/hdp/current/spark2-client/python/pyspark/worker.py", line 248, in process
    serializer.dump_stream(func(split_index, iterator), outfile)
  File "/usr/hdp/current/spark2-client/python/pyspark/serializers.py", line 379, in dump_stream
    vs = list(itertools.islice(iterator, batch))
  File "/usr/hdp/current/spark2-client/python/pyspark/rdd.py", line 1352, in takeUpToNumLeft
    yield next(iterator)
  File "/usr/hdp/current/spark2-client/python/pyspark/util.py", line 55, in wrapper
    return f(*args, **kwargs)
  File "<stdin>", line 2, in extract
  File "/usr/hdp/current/spark2-client/python/pyspark/sql/types.py", line 1561, in __getattr__
    raise AttributeError(item)
AttributeError: word

    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:330)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:470)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:453)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:284)
    at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
    at scala.collection.Iterator$class.foreach(Iterator.scala:893)
    at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
    at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
    at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
    at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
    at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
    at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
    at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:152)
    at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:152)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
    at org.apache.spark.scheduler.Task.run(Task.scala:109)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    ... 1 more`

`Traceback (most recent call last):
  File "/usr/hdp/current/spark2-client/python/pyspark/sql/session.py", line 58, in toDF
    return sparkSession.createDataFrame(self, schema, sampleRatio)
  File "/usr/hdp/current/spark2-client/python/pyspark/sql/session.py", line 695, in createDataFrame
    rdd, schema = self._createFromRDD(data.map(prepare), schema, samplingRatio)
  File "/usr/hdp/current/spark2-client/python/pyspark/sql/session.py", line 390, in _createFromRDD
    struct = self._inferSchema(rdd, samplingRatio, names=schema)
  File "/usr/hdp/current/spark2-client/python/pyspark/sql/session.py", line 361, in _inferSchema
    first = rdd.first()
  File "/usr/hdp/current/spark2-client/python/pyspark/rdd.py", line 1376, in first
    rs = self.take(1)
  File "/usr/hdp/current/spark2-client/python/pyspark/rdd.py", line 1358, in take
    res = self.context.runJob(self, takeUpToNumLeft, p)
  File "/usr/hdp/current/spark2-client/python/pyspark/context.py", line 1042, in runJob
    sock_info = self._jvm.PythonRDD.runJob(self._jsc.sc(), mappedRDD._jrdd, partitions)
  File "/usr/hdp/current/spark2-client/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
    answer, self.gateway_client, self.target_id, self.name)
  File "/usr/hdp/current/spark2-client/python/pyspark/sql/utils.py", line 63, in deco
    return f(*a, **kw)
  File "/usr/hdp/current/spark2-client/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
    format(target_id, ".", name), value)
py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.runJob.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 24.0 failed 4 times, most recent failure: Lost task 0.3 in stage 24.0 (TID 104, wn0-nkhlla.535cxyjeursebhq0ajgymk5xab.tx.internal.cloudapp.net, executor 2): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
  File "/usr/hdp/current/spark2-client/python/pyspark/sql/types.py", line 1556, in __getattr__
    idx = self.__fields__.index(item)
ValueError: 'word' is not in list`

`During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/hdp/current/spark2-client/python/pyspark/worker.py", line 253, in main
    process()
  File "/usr/hdp/current/spark2-client/python/pyspark/worker.py", line 248, in process
    serializer.dump_stream(func(split_index, iterator), outfile)
  File "/usr/hdp/current/spark2-client/python/pyspark/serializers.py", line 379, in dump_stream
    vs = list(itertools.islice(iterator, batch))
  File "/usr/hdp/current/spark2-client/python/pyspark/rdd.py", line 1352, in takeUpToNumLeft
    yield next(iterator)
  File "/usr/hdp/current/spark2-client/python/pyspark/util.py", line 55, in wrapper
    return f(*args, **kwargs)
  File "<stdin>", line 2, in extract
  File "/usr/hdp/current/spark2-client/python/pyspark/sql/types.py", line 1561, in __getattr__
    raise AttributeError(item)
AttributeError: word

    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:330)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:470)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:453)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:284)
    at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
    at scala.collection.Iterator$class.foreach(Iterator.scala:893)
    at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
    at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
    at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
    at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
    at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
    at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
    at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:152)
    at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:152)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
    at org.apache.spark.scheduler.Task.run(Task.scala:109)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)`

`Driver stacktrace:
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1651)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1639)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1638)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1638)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
    at scala.Option.foreach(Option.scala:257)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1872)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1821)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1810)
    at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2034)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2055)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2074)
    at org.apache.spark.api.python.PythonRDD$.runJob(PythonRDD.scala:152)
    at org.apache.spark.api.python.PythonRDD.runJob(PythonRDD.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
    at py4j.Gateway.invoke(Gateway.java:282)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:238)
    at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent call last):
  File "/usr/hdp/current/spark2-client/python/pyspark/sql/types.py", line 1556, in __getattr__
    idx = self.__fields__.index(item)
ValueError: 'word' is not in list`

`During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/hdp/current/spark2-client/python/pyspark/worker.py", line 253, in main
    process()
  File "/usr/hdp/current/spark2-client/python/pyspark/worker.py", line 248, in process
    serializer.dump_stream(func(split_index, iterator), outfile)
  File "/usr/hdp/current/spark2-client/python/pyspark/serializers.py", line 379, in dump_stream
    vs = list(itertools.islice(iterator, batch))
  File "/usr/hdp/current/spark2-client/python/pyspark/rdd.py", line 1352, in takeUpToNumLeft
    yield next(iterator)
  File "/usr/hdp/current/spark2-client/python/pyspark/util.py", line 55, in wrapper
    return f(*args, **kwargs)
  File "<stdin>", line 2, in extract
  File "/usr/hdp/current/spark2-client/python/pyspark/sql/types.py", line 1561, in __getattr__
    raise AttributeError(item)
AttributeError: word

    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:330)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:470)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:453)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:284)
    at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
    at scala.collection.Iterator$class.foreach(Iterator.scala:893)
    at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
    at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
    at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
    at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
    at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
    at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
    at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:152)
    at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:152)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
    at org.apache.spark.scheduler.Task.run(Task.scala:109)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    ... 1 more

Answer 2

这是我的答案，

onProxyRes :function(proxyRes, req, res){
      var _write = res.write;
      var output;
      var body = "";
      proxyRes.on('data', function(data) {
          data = data.toString('utf-8');
          body += data;
      });
      res.write = function (data) {
        try{
/*** something detect if data is all download.my data is json,so I can do by this***/
          eval("output="+body)
          output = mock.mock(output)
          _write.call(res,JSON.stringify(output));
        } catch (err) {}
      }
    }

在http-proxy-middleware上添加onProxyRes选项使用proxyRes上的data事件来获取输出然后修改res.write中的输出

节点http-proxy / http-proxy-middleware - 如何操作代理响应

2 个答案: