asyncssh | Python package which provides an asynchronous client | Reactive Programming library
kandi X-RAY | asyncssh Summary
kandi X-RAY | asyncssh Summary
AsyncSSH is a Python package which provides an asynchronous client and server implementation of the SSHv2 protocol on top of the Python asyncio framework.
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Top functions reviewed by kandi - BETA
- Prepare a new SSH connection .
- Create a new SSH session .
- Export a private key .
- Copy srcpath to dstpath .
- Load a list of SSH key pairs .
- Create a new SSH session .
- Send new keys .
- Create an SSHA client .
- Start a remote copy .
- Create an SSHA server connection .
asyncssh Key Features
asyncssh Examples and Code Snippets
#!/usr/bin/env python
"""
Example of running a prompt_toolkit application in an asyncssh server.
"""
import asyncio
import logging
import asyncssh
from pygments.lexers.html import HtmlLexer
from prompt_toolkit.completion import WordCompleter
from p
#!/usr/bin/env python
"""
Example of running the Python REPL through an SSH connection in an asyncio process.
This requires Python 3, asyncio and asyncssh.
Run this example and then SSH to localhost, port 8222.
"""
import asyncio
import logging
imp
while True:
task_1() # takes n ms
sleep(0.2)
task_2() # takes n ms
sleep(0.4)
async def task_1():
while True:
stuff()
await asyncio.sleep(0.6)
async def task_2():
while
import pexpect
proc = pexpect.spawn('ssh user@127.0.0.1')
await child.expect('password:', timeout=120, async_=True)
child.sendline(password_for_user)
awaitable loop.run_in_executor(executor, func, *args)¶
import socket
import ssl
import asyncio
import asyncssh
class SSL_Socket:
async def create_connection(self, protocol_factory, host, port):
loop = asyncio.get_event_loop()
context = ssl.create_default_context(ssl.Purpo
func_loop.call_soon_threadsafe(func_loop.stop())
async def do_stuff(func):
conn = await run_client()
print("SSH tunnel active")
loop = asyncio.get_event_loop()
ret = await loop.run_in_executor(None,
import asyncio, asyncssh, sys
async def run_client():
async with asyncssh.connect('localhost') as conn:
result = await conn.run('ls abc')
if result.exit_status == 0:
print(result.stdout, end='')
el
#!/usr/bin/python3
import asyncio, asyncssh, sys
async def run(ssh, sem, cmd):
async with sem:
return (await ssh.run(cmd, check=True)).stdout
async def main():
host = sys.argv[1]
ssh = await asyncssh.connect(host)
import asyncssh
import asyncio
import sys
async def run():
async with asyncssh.connect('localhost') as ssh:
await ssh.run("echo stdout1 >&1; echo stderr >&2; echo stdout2 >&1",
stdout
Community Discussions
Trending Discussions on asyncssh
QUESTION
My application needs remote control over SSH. I wish to use this example: https://asyncssh.readthedocs.io/en/latest/#simple-server-with-input
The original app is rather big, using GPIO and 600lines of code, 10 libraries. so I've made a simple example here:
...ANSWER
Answered 2021-Dec-01 at 12:51You have basically three options:
Rewrite your main loop to be asyncio compatibleA main while True
loop with lots of sleeps is exactly the kind of code you want to write asynchronously. Convert this:
QUESTION
I need to handle list of 2500 ip-addresses from csv file. So I need to create_task from coroutine 2500 times. Inside every coroutine firstly I need to fast-check access of IP:PORT via python module "socket" and it is a synchronous function want to be in loop.run_in_executor(). Secondly if IP:PORT is opened I need to connect to this socket via asyncssh.connect() for doing some bash commands and this is standart asyncio coroutine. Then I need to collect results of this bash commands to another csv file.
Additionaly there is an issue in Linux: system can not open more than 1024 connections at same time. I think it may be solved by making list of lists[1000] with asyncio.sleep(1) between or something like that.
I expected my tasks will be executed by 1000 in 1 second but it only 20 in 1 sec. Why?
Little working code snippet with comments here:
...ANSWER
Answered 2021-Jan-15 at 20:29loop.run_in_exectutor
signature:
QUESTION
I'd like to establish an SSH SOCKs tunnel (using asyncssh
) during the execution of a synchronous function. When the function is done I want to tear down the tunnel and exit.
Apparently some async function has to be awaited to keep the tunnel working so the important thing is that conn.wait_closed()
and the synchronous function are executed concurrently. So I am quite sure that I actually need a second thread.
I first tried some saner things using a ThreadPoolExecutor
with run_in_executor
but then ended up with the abysmal multihreaded variant below.
ANSWER
Answered 2020-Jun-15 at 15:01The immediate cause of your error is this line:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install asyncssh
You can use asyncssh like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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