Question

我正在尝试通过SFTP与paramiko和Python 2.7连接，以最终从远程服务器获取文件并将其放入我的服务器。（请注意，它也使用非标准端口）
但是，当我尝试连接时-需要花费很长时间，然后出现身份验证错误。您是否有此问题有修复建议？我没有密钥，它只使用用户名/密码。我可以连接图形SSH程序而不会出现问题，因此凭据似乎正确。这是代码：

hostname = 'remotehostname.com'
username=   'AB1239'
password= ‘password’
port = 10022

import paramiko
c = paramiko.SSHClient()
c.set_missing_host_key_policy(paramiko.AutoAddPolicy())
c.connect(hostname=hostname, username=username, password=password,port=port)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/lib/python2.7/site-packages/paramiko/client.py", line 380, in connect
    look_for_keys, gss_auth, gss_kex, gss_deleg_creds, gss_host)
  File "/usr/lib/python2.7/site-packages/paramiko/client.py", line 597, in _auth
    raise saved_exception
paramiko.ssh_exception.AuthenticationException: Authentication failed.


I am using:
>>> print paramiko.__version__
1.16.1

和python Python 2.7.5（在Linux上）

http://docs.paramiko.org/en/2.4/api/transport.html#（这些是针对版本2.4的，但请注意，我使用的是较早的版本） http://docs.paramiko.org/en/2.4/api/client.html 我也看了这个：Why does Paramiko hang if you use it while loading a module? 但仍然存在连接问题。

Answer 1

我不太确定是否能100％地回答您的问题，但我认为总比没有回答要好，尤其是因为我确定它可以解决您的问题，即使我没有对此进行测试释放（没有默认端口）。

    # declare function to specify parameters for GBM model

            gbm_rxBTrees <- function(data, formula, nTree, learningRate){
              model <- rxBTrees(
                formula=formula, 
                data=train, 
                importance = T, lossFunction = "bernoulli",
                nTree = nTree, # Number of Trees
                learningRate = learningRate, # Learning Rate or Shrinkage
                maxDepth = 7,  # Max depth of a single tree
                #minBucket = 2 # min observation in a node for splitting
                mTry = 0.8, # Percentage of variables to take to build each tree
                sampRate = 0.8, # value specifying the percentage(s) of observations to sample for each tree
                replace = T
              )

          return(model)}

# formula of predicted ~ predictors
    form <- formula(DepDelay_flag ~ Origin + Dest + Distance + Month + DayOfWeek + UniqueCarrier + Dep_hour)

# set argument list for parallel execution in rxExec()
    argList2 <- list(list(nTree = 300, learningRate = 0.1), list(nTree = 600, learningRate = 0.05))

# growing trees : building model
    system.time(resrxBTrees <- rxExec(gbm_rxBTrees, data = train, formula = form, elemArgs = argList2))

使用paramiko的SFTP挂起和身份验证失败

1 个答案: