Question

Kubernetes远程API允许使用代理动词（即，使用Traceback (most recent call last): File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1278, in _do_call return fn(*args) File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1263, in _run_fn options, feed_dict, fetch_list, target_list, run_metadata) File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1350, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'input' with dtype float and shape [?,45,50] [[Node: input = Placeholder[dtype=DT_FLOAT, shape=[?,45,50], _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]] [[Node: encoder_lstm/add_16/_25 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_460_encoder_lstm/add_16", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/sgnbx/Downloads/projects/LSTM_autoencoder/justfun.py", line 121, in <module> k_value = K.eval(encoded) File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py", line 671, in eval return to_dense(x).eval(session=get_session()) File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 680, in eval return _eval_using_default_session(self, feed_dict, self.graph, session) File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 4951, in _eval_using_default_session return session.run(tensors, feed_dict) File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 877, in run run_metadata_ptr) File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1100, in _run feed_dict_tensor, options, run_metadata) File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1272, in _do_run run_metadata) File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1291, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'input' with dtype float and shape [?,45,50] [[Node: input = Placeholder[dtype=DT_FLOAT, shape=[?,45,50], _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]] [[Node: encoder_lstm/add_16/_25 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_460_encoder_lstm/add_16", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] Caused by op 'input', defined at: File "/home/sgnbx/Downloads/projects/LSTM_autoencoder/justfun.py", line 113, in <module> inputs = Input(shape=(SEQUENCE_LEN, EMBED_SIZE), name="input") File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/keras/engine/input_layer.py", line 177, in Input input_tensor=tensor) File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/keras/legacy/interfaces.py", line 91, in wrapper return func(*args, **kwargs) File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/keras/engine/input_layer.py", line 86, in __init__ name=self.name) File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py", line 515, in placeholder x = tf.placeholder(dtype, shape=shape, name=name) File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/tensorflow/python/ops/array_ops.py", line 1735, in placeholder return gen_array_ops.placeholder(dtype=dtype, shape=shape, name=name) File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/tensorflow/python/ops/gen_array_ops.py", line 4925, in placeholder "Placeholder", dtype=dtype, shape=shape, name=name) File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/tensorflow/python/util/deprecation.py", line 454, in new_func return func(*args, **kwargs) File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 3155, in create_op op_def=op_def) File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1717, in __init__ self._traceback = tf_stack.extract_stack() InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'input' with dtype float and shape [?,45,50] [[Node: input = Placeholder[dtype=DT_FLOAT, shape=[?,45,50], _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]] [[Node: encoder_lstm/add_16/_25 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_460_encoder_lstm/add_16", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] Exception ignored in: <bound method BaseSession.__del__ of <tensorflow.python.client.session.Session object at 0x7fd900525c50>> Traceback (most recent call last): File "/home/sgnbx/anaconda3/envs/py3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 686, in __del__ TypeError: 'NoneType' object is not callable Process finished with exit code 1的API路径）对任意pod端口进行HTTP访问。

Python客户端提供/api/v1/namespaces/{namespace}/pods/{name}/proxy来调用上述代理动词。

尽管阅读，浏览和搜索Kubernetes客户端已有一段时间，但我仍然不知道如何使用goclient来完成与python客户端一样的操作。我的另一个印象是，如果没有现成的API corev1调用，我可能需要深入研究客户变更集的其余客户？

如何使用其余客户端和上述路径正确构建GET调用？

Answer 1

事实证明，在深入研究Kubernetes客户端源之后，只有在下降到RESTClient级别然后手动构建GET / ...请求时，才可以访问代理动词。下面的代码以一个完整的示例形式显示了这一点：

package main

import (
    "fmt"

    "k8s.io/client-go/kubernetes"
    "k8s.io/client-go/tools/clientcmd"
)

func main() {
    clcfg, err := clientcmd.NewDefaultClientConfigLoadingRules().Load()
    if err != nil {
        panic(err.Error())
    }
    restcfg, err := clientcmd.NewNonInteractiveClientConfig(
        *clcfg, "", &clientcmd.ConfigOverrides{}, nil).ClientConfig()
    if err != nil {
        panic(err.Error())
    }
    clientset, err := kubernetes.NewForConfig(restcfg)
    res := clientset.CoreV1().RESTClient().Get().
        Namespace("default").
        Resource("pods").
        Name("hello-world:8000").
        SubResource("proxy").
        // The server URL path, without leading "/" goes here...
        Suffix("index.html").
        Do()
    if err != nil {
        panic(err.Error())
    }
    rawbody, err := res.Raw()
    if err != nil {
        panic(err.Error())
    }
    fmt.Print(string(rawbody))
}

例如，您可以在本地kind集群（Docker中的Kubernetes）上对此进行测试。以下命令启动一个类集群，用所需的hello-world网络服务器启动唯一的节点，然后告诉Kubernetes使用所述hello-world网络服务器启动pod。

kind create cluster
docker pull crccheck/hello-world
docker tag crccheck/hello-world crccheck/hello-world:current
kind load docker-image crccheck/hello-world:current
kubectl run hello-world --image=crccheck/hello-world:current --port=8000 --restart=Never --image-pull-policy=Never

现在运行示例：

export KUBECONFIG=~/.kube/kind-config-kind; go run .

然后它应该显示这种ASCII文字：

<xmp>
Hello World


                                       ##         .
                                 ## ## ##        ==
                              ## ## ## ## ##    ===
                           /""""""""""""""""\___/ ===
                      ~~~ {~~ ~~~~ ~~~ ~~~~ ~~ ~ /  ===- ~~~
                           \______ o          _,/
                            \      \       _,'
                             `'--.._\..--''
</xmp>

如何使用Kubernetes Go客户端调用Pod代理动词？

1 个答案: