How to make this network config code to scale for many devices?
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More looking for suggestions here.
I am working on some code (snippet below) to fetch, edit, and optimise some configuration on a number of network devices.
I need to address more than 1000 devices, various types, and need to make this work quite efficient.
So understand multiprocessing, using generators, etc can help, but not quite clear where how I should apply those in such a class structure I have?
class Device_optimiser():
@staticmethod
def connector(**args):
ssh_client = paramiko.SSHClient()
for i in args["devices"]:
try:
ssh_client.connect(hostname= i['host'],
username=args['username'],
password=args['password'],
port = 22)
except Exception:
ll.error("bad device")
stdin, stdout, stderr = ssh_client.exec_command(i['command'])
return stdout.read()
@staticmethod
def parser(msg):
parsed_msg = msg + "some work"
return parsed_msg
@staticmethod
def algorithm(parsed_msg):
sort_selected_msg = parsed_msg + "some work"
return sort_selected_msg
@classmethod
def main(cls, info):
ssh_output = Device_optimiser.connector(**info)
parsed_output = Device_optimiser.parser(ssh_output)
Device_optimiser.algorithm(parsed_output)
Device_optimiser.connector(**info)
python networking scalability
add a comment |
More looking for suggestions here.
I am working on some code (snippet below) to fetch, edit, and optimise some configuration on a number of network devices.
I need to address more than 1000 devices, various types, and need to make this work quite efficient.
So understand multiprocessing, using generators, etc can help, but not quite clear where how I should apply those in such a class structure I have?
class Device_optimiser():
@staticmethod
def connector(**args):
ssh_client = paramiko.SSHClient()
for i in args["devices"]:
try:
ssh_client.connect(hostname= i['host'],
username=args['username'],
password=args['password'],
port = 22)
except Exception:
ll.error("bad device")
stdin, stdout, stderr = ssh_client.exec_command(i['command'])
return stdout.read()
@staticmethod
def parser(msg):
parsed_msg = msg + "some work"
return parsed_msg
@staticmethod
def algorithm(parsed_msg):
sort_selected_msg = parsed_msg + "some work"
return sort_selected_msg
@classmethod
def main(cls, info):
ssh_output = Device_optimiser.connector(**info)
parsed_output = Device_optimiser.parser(ssh_output)
Device_optimiser.algorithm(parsed_output)
Device_optimiser.connector(**info)
python networking scalability
You never used__init__
orself
but you are using every method (wrongly) as a class method. Why do you have a class then and not just functions?
– Klaus D.
Nov 15 '18 at 16:49
I made a quick update. The class implementation now uses static methods. The class is a wrapper here for relevant functions. And also I may add more attributes to it. My focus now is to share the structure, and get opinions on how to make this very scalable and fast at the same time
– bilucent
Nov 15 '18 at 17:50
To say it short: Python is not Java.
– Klaus D.
Nov 15 '18 at 18:35
add a comment |
More looking for suggestions here.
I am working on some code (snippet below) to fetch, edit, and optimise some configuration on a number of network devices.
I need to address more than 1000 devices, various types, and need to make this work quite efficient.
So understand multiprocessing, using generators, etc can help, but not quite clear where how I should apply those in such a class structure I have?
class Device_optimiser():
@staticmethod
def connector(**args):
ssh_client = paramiko.SSHClient()
for i in args["devices"]:
try:
ssh_client.connect(hostname= i['host'],
username=args['username'],
password=args['password'],
port = 22)
except Exception:
ll.error("bad device")
stdin, stdout, stderr = ssh_client.exec_command(i['command'])
return stdout.read()
@staticmethod
def parser(msg):
parsed_msg = msg + "some work"
return parsed_msg
@staticmethod
def algorithm(parsed_msg):
sort_selected_msg = parsed_msg + "some work"
return sort_selected_msg
@classmethod
def main(cls, info):
ssh_output = Device_optimiser.connector(**info)
parsed_output = Device_optimiser.parser(ssh_output)
Device_optimiser.algorithm(parsed_output)
Device_optimiser.connector(**info)
python networking scalability
More looking for suggestions here.
I am working on some code (snippet below) to fetch, edit, and optimise some configuration on a number of network devices.
I need to address more than 1000 devices, various types, and need to make this work quite efficient.
So understand multiprocessing, using generators, etc can help, but not quite clear where how I should apply those in such a class structure I have?
class Device_optimiser():
@staticmethod
def connector(**args):
ssh_client = paramiko.SSHClient()
for i in args["devices"]:
try:
ssh_client.connect(hostname= i['host'],
username=args['username'],
password=args['password'],
port = 22)
except Exception:
ll.error("bad device")
stdin, stdout, stderr = ssh_client.exec_command(i['command'])
return stdout.read()
@staticmethod
def parser(msg):
parsed_msg = msg + "some work"
return parsed_msg
@staticmethod
def algorithm(parsed_msg):
sort_selected_msg = parsed_msg + "some work"
return sort_selected_msg
@classmethod
def main(cls, info):
ssh_output = Device_optimiser.connector(**info)
parsed_output = Device_optimiser.parser(ssh_output)
Device_optimiser.algorithm(parsed_output)
Device_optimiser.connector(**info)
python networking scalability
python networking scalability
edited Nov 15 '18 at 17:49
bilucent
asked Nov 15 '18 at 16:24
bilucentbilucent
5318
5318
You never used__init__
orself
but you are using every method (wrongly) as a class method. Why do you have a class then and not just functions?
– Klaus D.
Nov 15 '18 at 16:49
I made a quick update. The class implementation now uses static methods. The class is a wrapper here for relevant functions. And also I may add more attributes to it. My focus now is to share the structure, and get opinions on how to make this very scalable and fast at the same time
– bilucent
Nov 15 '18 at 17:50
To say it short: Python is not Java.
– Klaus D.
Nov 15 '18 at 18:35
add a comment |
You never used__init__
orself
but you are using every method (wrongly) as a class method. Why do you have a class then and not just functions?
– Klaus D.
Nov 15 '18 at 16:49
I made a quick update. The class implementation now uses static methods. The class is a wrapper here for relevant functions. And also I may add more attributes to it. My focus now is to share the structure, and get opinions on how to make this very scalable and fast at the same time
– bilucent
Nov 15 '18 at 17:50
To say it short: Python is not Java.
– Klaus D.
Nov 15 '18 at 18:35
You never used
__init__
or self
but you are using every method (wrongly) as a class method. Why do you have a class then and not just functions?– Klaus D.
Nov 15 '18 at 16:49
You never used
__init__
or self
but you are using every method (wrongly) as a class method. Why do you have a class then and not just functions?– Klaus D.
Nov 15 '18 at 16:49
I made a quick update. The class implementation now uses static methods. The class is a wrapper here for relevant functions. And also I may add more attributes to it. My focus now is to share the structure, and get opinions on how to make this very scalable and fast at the same time
– bilucent
Nov 15 '18 at 17:50
I made a quick update. The class implementation now uses static methods. The class is a wrapper here for relevant functions. And also I may add more attributes to it. My focus now is to share the structure, and get opinions on how to make this very scalable and fast at the same time
– bilucent
Nov 15 '18 at 17:50
To say it short: Python is not Java.
– Klaus D.
Nov 15 '18 at 18:35
To say it short: Python is not Java.
– Klaus D.
Nov 15 '18 at 18:35
add a comment |
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You never used
__init__
orself
but you are using every method (wrongly) as a class method. Why do you have a class then and not just functions?– Klaus D.
Nov 15 '18 at 16:49
I made a quick update. The class implementation now uses static methods. The class is a wrapper here for relevant functions. And also I may add more attributes to it. My focus now is to share the structure, and get opinions on how to make this very scalable and fast at the same time
– bilucent
Nov 15 '18 at 17:50
To say it short: Python is not Java.
– Klaus D.
Nov 15 '18 at 18:35