I am new to python and want to know alternate way for doing the following.
I am having issue with the exec_command of paramiko...
Following is the code:
sshdell = paramiko.SSHClient()
sshdell.set_missing_host_key_policy(paramiko.AutoAddPolicy())
sshdell.connect('ip', port=22, username='user', password='pwd')
stdin,stdout,stderr = sshdell.exec_command("ping 4.2.2.2 interface X1")
ping_check = stdout.readlines()
for line in ping_check:
print(line)
the given error is thrown.
Traceback (most recent call last):
File "delltest.py", line 36, in <module>
stdin,stdout,stderr = sshdell.exec_command("ping 4.2.2.2 interface X1")
File "C:\python35\lib\site-packages\paramiko\client.py", line 441, in exec_command
chan.exec_command(command)
File "C:\python35\lib\site-packages\paramiko\channel.py", line 60, in _check
return func(self, *args, **kwds)
File "C:\python35\lib\site-packages\paramiko\channel.py", line 234, in exec_command
self._wait_for_event()
File "C:\python35\lib\site-packages\paramiko\channel.py", line 1161, in _wait_for_event
raise e
paramiko.ssh_exception.SSHException: Channel closed.
Please suggest as my device may not support the exec_command() function.
Related
I am running a CherryPy Local server. But After sometime server is timing out. I am new to CherryPy server and I found in error.log this message and unable to solve this issue.
CherryPy==18.8.0
Cherrot==8.6.0
Python==3.8.1
Traceback (most recent call last):
File "C:\Users\test\Envs\eps\lib\site-packages\cheroot\server.py", line 1300, in communicate
req.respond()
File "C:\Users\test\Envs\eps\lib\site-packages\cheroot\server.py", line 1090, in respond
self.server.gateway(self).respond()
File "C:\Users\test\Envs\eps\lib\site-packages\cheroot\wsgi.py", line 145, in respond
self.write(chunk)
File "C:\Users\test\Envs\eps\lib\site-packages\cheroot\wsgi.py", line 231, in write
self.req.write(chunk)
File "C:\Users\test\Envs\eps\lib\site-packages\cheroot\server.py", line 1146, in write
self.conn.wfile.write(chunk)
File "C:\Users\test\Envs\eps\lib\site-packages\cheroot\makefile.py", line 438, in write
res = super().write(val, *args, **kwargs)
File "C:\Users\test\Envs\eps\lib\site-packages\cheroot\makefile.py", line 36, in write
self._flush_unlocked()
File "C:\Users\test\Envs\eps\lib\site-packages\cheroot\makefile.py", line 45, in _flush_unlocked
n = self.raw.write(bytes(self._write_buf))
File "c:\python381\lib\socket.py", line 687, in write
return self._sock.send(b)
File "c:\python381\lib\ssl.py", line 1173, in send
return self._sslobj.write(data)
socket.timeout: The write operation timed out
I'm testing this locally where I have a ~/.aws/config file.
~/.aws/config looks some thing like:
[profile a]
...
[profile b]
...
I also have a AWS_PROFILE environmental variable set as "a".
I would like to read a file in which is accessible with profile b using pandas.
I am able to access it through s3fs by doing:
import s3fs
fs = s3fs.S3FileSystem(profile="b")
fs.get("BUCKET/FILE.parquet", "FILE.parquet")
pd.read_parquet("FILE.parquet")
However, if I try to pass this to pd.read_parquet using storage_options I get a PermissionError: Forbidden.
pd.read_parquet(
"s3://BUCKET/FILE.parquet",
storage_options={"profile": "b"},
)
full Traceback below
Traceback (most recent call last):
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/s3fs/core.py", line 233, in _call_s3
out = await method(**additional_kwargs)
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/aiobotocore/client.py", line 154, in _make_api_call
raise error_class(parsed_response, operation_name)
botocore.exceptions.ClientError: An error occurred (403) when calling the HeadObject operation: Forbidden
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/pandas/io/parquet.py", line 459, in read_parquet
return impl.read(
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/pandas/io/parquet.py", line 221, in read
return self.api.parquet.read_table(
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/pyarrow/parquet.py", line 1672, in read_table
dataset = _ParquetDatasetV2(
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/pyarrow/parquet.py", line 1504, in __init__
if filesystem.get_file_info(path_or_paths).is_file:
File "pyarrow/_fs.pyx", line 438, in pyarrow._fs.FileSystem.get_file_info
File "pyarrow/error.pxi", line 122, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/_fs.pyx", line 1004, in pyarrow._fs._cb_get_file_info
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/pyarrow/fs.py", line 226, in get_file_info
info = self.fs.info(path)
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/fsspec/asyn.py", line 72, in wrapper
return sync(self.loop, func, *args, **kwargs)
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/fsspec/asyn.py", line 53, in sync
raise result[0]
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/fsspec/asyn.py", line 20, in _runner
result[0] = await coro
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/s3fs/core.py", line 911, in _info
out = await self._call_s3(
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/s3fs/core.py", line 252, in _call_s3
raise translate_boto_error(err)
PermissionError: Forbidden
Note: there is an old question somewhat related to this but it didn't help: How to read parquet file from s3 using dask with specific AWS profile
You just need to add the following argument to the function:
storage_options=dict(profile='your_profile_name')
Hence the read statement is:
pd.read_parquet("s3://your_bucket",storage_options=dict(profile='your_profile_name'))
The issue started appearing over the weekend. For some reason, it feels to be a DataFlow issue.
Previously, I was able to execute the script and write TF records just fine. However, now, I am unable to initialize the computation graph to process the data.
The traceback is:
Traceback (most recent call last):
File "my_script.py", line 1492, in <module>
MyBeamClass()
File "my_script.py", line 402, in __init__
self.run()
File "my_script.py", line 514, in run
transform_fn_io.WriteTransformFn(path=self.JOB_DIR + '/transform/'))
File "/anaconda3/envs/ml27/lib/python2.7/site-packages/apache_beam/pipeline.py", line 426, in __exit__
self.run().wait_until_finish()
File "/anaconda3/envs/ml27/lib/python2.7/site-packages/apache_beam/runners/dataflow/dataflow_runner.py", line 1238, in wait_until_finish
(self.state, getattr(self._runner, 'last_error_msg', None)), self)
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: FAILED, Error:
Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/batchworker.py", line 649, in do_work
work_executor.execute()
File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/executor.py", line 176, in execute
op.start()
File "apache_beam/runners/worker/operations.py", line 531, in apache_beam.runners.worker.operations.DoOperation.start
def start(self):
File "apache_beam/runners/worker/operations.py", line 532, in apache_beam.runners.worker.operations.DoOperation.start
with self.scoped_start_state:
File "apache_beam/runners/worker/operations.py", line 533, in apache_beam.runners.worker.operations.DoOperation.start
super(DoOperation, self).start()
File "apache_beam/runners/worker/operations.py", line 202, in apache_beam.runners.worker.operations.Operation.start
def start(self):
File "apache_beam/runners/worker/operations.py", line 206, in apache_beam.runners.worker.operations.Operation.start
self.setup()
File "apache_beam/runners/worker/operations.py", line 480, in apache_beam.runners.worker.operations.DoOperation.setup
with self.scoped_start_state:
File "apache_beam/runners/worker/operations.py", line 485, in apache_beam.runners.worker.operations.DoOperation.setup
pickler.loads(self.spec.serialized_fn))
File "/usr/local/lib/python2.7/dist-packages/apache_beam/internal/pickler.py", line 247, in loads
return dill.loads(s)
File "/usr/local/lib/python2.7/dist-packages/dill/_dill.py", line 317, in loads
return load(file, ignore)
File "/usr/local/lib/python2.7/dist-packages/dill/_dill.py", line 305, in load
obj = pik.load()
File "/usr/lib/python2.7/pickle.py", line 864, in load
dispatch[key](self)
File "/usr/lib/python2.7/pickle.py", line 1232, in load_build
for k, v in state.iteritems():
AttributeError: 'str' object has no attribute 'iteritems'
I am using tensorflow==1.13.1 and tensorflow-transform==0.9.0 and apache_beam==2.7.0
with beam.Pipeline(options=self.pipe_opt) as p:
with beam_impl.Context(temp_dir=self.google_cloud_options.temp_location):
# rest of the script
_ = (
transform_fn
| 'WriteTransformFn' >>
transform_fn_io.WriteTransformFn(path=self.JOB_DIR + '/transform/'))
I was experiencing the same error.
It seems to be triggered by a mismatch in the tensorflow-transform versions of your local (or master) machine and the workers one (specified in the setup.py file).
In my case I was running tensorflow-transform==0.13 on my local machine whereas the workers were running 0.8.
Downgrading the local version to 0.8 fixed the issue.
This error in thrown only on production Apache2 server, and not at all when using pserve method to test the project locally :
sqlalchemy.orm.exc.DetachedInstanceError: Parent instance <My_Table at 0x7fc82076d2d0> is not bound to a Session; lazy load operation of attribute 'my_table_relationship' cannot proceed
Crashing code in template is:
<tal:x repeat="oMot_cn oMot_mcnii_cni.r_mcnii_cp.r_newphonets">
This kind of chained relationships pattern had been working well so far, I am just trying to load the whole query object at launching time of the Pyramid app, instead of loading a new one each time a request is handled by the view/controller...
It keeps crashing on production while it does not crash on pserve dev testing, so it's hard to debug.
Whole traceback on production server:
mod_wsgi (pid=15170): Exception occurred processing WSGI script '/var/local/env_py3/env_py3_2an/MyProject/myproject.wsgi'.
Traceback (most recent call last):
File "/var/local/env_py3/env_py3_2an/lib/python3.2/site-packages/chameleon/template.py", line 170, in render
self._render(stream, econtext, rcontext)
File "tp_lesson_T_ex_mots_from_audio_765c6cd23ec517b3893410ce969cf2d9.py", line 584, in render
File "/var/local/env_py3/env_py3_2an/lib/python3.2/site-packages/chameleon/py26.py", line 5, in lookup_attr
return getattr(obj, key)
File "/var/local/env_py3/env_py3_2an/lib/python3.2/site-packages/sqlalchemy/orm/attributes.py", line 233, in __get__
return self.impl.get(instance_state(instance), dict_)
File "/var/local/env_py3/env_py3_2an/lib/python3.2/site-packages/sqlalchemy/orm/attributes.py", line 579, in get
value = self.callable_(state, passive)
File "/var/local/env_py3/env_py3_2an/lib/python3.2/site-packages/sqlalchemy/orm/strategies.py", line 479, in _load_for_state
(orm_util.state_str(state), self.key)
sqlalchemy.orm.exc.DetachedInstanceError: Parent instance <Caract_phonet at 0x7fc82076d2d0> is not bound to a Session; lazy load operation of attribute 'r_newphonets' cannot proceed
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/var/local/env_py3/env_py3_2an/lib/python3.2/site-packages/fanstatic/publisher.py", line 219, in __call__
return self.app(environ, start_response)
File "/var/local/env_py3/env_py3_2an/lib/python3.2/site-packages/fanstatic/injector.py", line 64, in __call__
response = request.get_response(self.app)
File "/var/local/env_py3/env_py3_2an/lib/python3.2/site-packages/webob/request.py", line 1296, in send
application, catch_exc_info=False)
File "/var/local/env_py3/env_py3_2an/lib/python3.2/site-packages/webob/request.py", line 1260, in call_application
app_iter = application(self.environ, start_response)
File "/var/local/env_py3/env_py3_2an/lib/python3.2/site-packages/pyramid/router.py", line 251, in __call__
response = self.invoke_subrequest(request, use_tweens=True)
File "/var/local/env_py3/env_py3_2an/lib/python3.2/site-packages/pyramid/router.py", line 227, in invoke_subrequest
response = handle_request(request)
File "/var/local/env_py3/env_py3_2an/lib/python3.2/site-packages/pyramid/tweens.py", line 21, in excview_tween
response = handler(request)
File "/var/local/env_py3/env_py3_2an/lib/python3.2/site-packages/pyramid_tm-0.7-py3.2.egg/pyramid_tm/__init__.py", line 82, in tm_tween
reraise(*exc_info)
File "/var/local/env_py3/env_py3_2an/lib/python3.2/site-packages/pyramid_tm-0.7-py3.2.egg/pyramid_tm/compat.py", line 13, in reraise
raise value
File "/var/local/env_py3/env_py3_2an/lib/python3.2/site-packages/pyramid_tm-0.7-py3.2.egg/pyramid_tm/__init__.py", line 63, in tm_tween
response = handler(request)
File "/var/local/env_py3/env_py3_2an/lib/python3.2/site-packages/pyramid/router.py", line 161, in handle_request
response = view_callable(context, request)
Is there any missing PasteDeploy configuration to get it crashing the same way it does once it's pushed to production server ?
Kazoo's fairly working under the Python, but the project which i'm working on requires to use it under the Jython.
Here is the issue:
>>> from kazoo.client import KazooClient
>>> zk = KazooClient('127.0.0.1')
>>> zk.start()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\jython2.7.0\Lib\site-packages\kazoo\client.py", line 541, in start
event = self.start_async()
File "C:\jython2.7.0\Lib\site-packages\kazoo\client.py", line 576, in start_async
self._connection.start()
File "C:\jython2.7.0\Lib\site-packages\kazoo\protocol\connection.py", line 170, in start
rw_sockets = self.handler.create_socket_pair()
File "C:\jython2.7.0\Lib\site-packages\kazoo\handlers\threading.py", line 165, in create_socket_pair
return utils.create_socket_pair(socket)
File "C:\jython2.7.0\Lib\site-packages\kazoo\handlers\utils.py", line 148, in create_socket_pair
temp_srv_sock.bind(('', port))
File "C:\jython2.7.0\Lib\_socket.py", line 1367, in meth
return getattr(self._sock,name)(*args)
File "C:\jython2.7.0\Lib\_socket.py", line 812, in bind
self.bind_addr = _get_jsockaddr(address, self.family, self.type, self.proto, AI_PASSIVE)
File "C:\jython2.7.0\Lib\_socket.py", line 1565, in _get_jsockaddr
addr = _get_jsockaddr2(address_object, family, sock_type, proto, flags)
File "C:\jython2.7.0\Lib\_socket.py", line 1594, in _get_jsockaddr2
hostname = {AF_INET: INADDR_ANY, AF_INET6: IN6ADDR_ANY_INIT}[family]
KeyError: 0
How i'd already said - there is no this kind issue using the python.
I'm pretty sure that it is connected with the Jython-version of the _socket.py file, but don't know the workaround.
What can you recommend?