Incremental stdout out of fabric
I'm new to fabric and want to run a long-running script on a remote computer, so far, I have been using something like this:
import fabric
c = fabric.Connection("192.168.8.16") # blocking
result = c.run("long-running-script-outputing-state-information-into-stdout.py")
Is there a way to read stdout as it comes asynchronously instead of using the 'result' object that can be used only after the command has finished?
python linux fabric
asked Nov 15 '18 at 20:23
MartinMartin
1567
add a comment |
I'm new to fabric and want to run a long-running script on a remote computer, so far, I have been using something like this:
import fabric
c = fabric.Connection("192.168.8.16") # blocking
result = c.run("long-running-script-outputing-state-information-into-stdout.py")
Is there a way to read stdout as it comes asynchronously instead of using the 'result' object that can be used only after the command has finished?
python linux fabric
asked Nov 15 '18 at 20:23
MartinMartin
1567
I don't know exactly what you do mean, but normally fabric displays the output of an command that is being executed! If you try to do for examplepip install -r requirements.txtwhich will install all required and pre-defined python modules, you will see the whole output!
– Peshmerge
Nov 16 '18 at 15:20
What I am trying to achieve is something likep = subprocess.Popen(["ls"], stdout=subprocess.PIPE, stderr=subprocess.PIPE), where the command can run asynchronously and you can read its output from pipe while it's still running.
– Martin
Nov 18 '18 at 15:37
add a comment |
I'm new to fabric and want to run a long-running script on a remote computer, so far, I have been using something like this:
import fabric
c = fabric.Connection("192.168.8.16") # blocking
result = c.run("long-running-script-outputing-state-information-into-stdout.py")
Is there a way to read stdout as it comes asynchronously instead of using the 'result' object that can be used only after the command has finished?
python linux fabric
asked Nov 15 '18 at 20:23
MartinMartin
1567
I'm new to fabric and want to run a long-running script on a remote computer, so far, I have been using something like this:
import fabric
c = fabric.Connection("192.168.8.16") # blocking
result = c.run("long-running-script-outputing-state-information-into-stdout.py")
Is there a way to read stdout as it comes asynchronously instead of using the 'result' object that can be used only after the command has finished?
python linux fabric
python linux fabric
asked Nov 15 '18 at 20:23
MartinMartin
1567
asked Nov 15 '18 at 20:23
MartinMartin
1567
asked Nov 15 '18 at 20:23
MartinMartin
1567
asked Nov 15 '18 at 20:23
MartinMartin
1567
asked Nov 15 '18 at 20:23
MartinMartin
1567
1567
I don't know exactly what you do mean, but normally fabric displays the output of an command that is being executed! If you try to do for examplepip install -r requirements.txtwhich will install all required and pre-defined python modules, you will see the whole output!
– Peshmerge
Nov 16 '18 at 15:20
What I am trying to achieve is something likep = subprocess.Popen(["ls"], stdout=subprocess.PIPE, stderr=subprocess.PIPE), where the command can run asynchronously and you can read its output from pipe while it's still running.
– Martin
Nov 18 '18 at 15:37
add a comment |
I don't know exactly what you do mean, but normally fabric displays the output of an command that is being executed! If you try to do for examplepip install -r requirements.txtwhich will install all required and pre-defined python modules, you will see the whole output!
– Peshmerge
Nov 16 '18 at 15:20
What I am trying to achieve is something likep = subprocess.Popen(["ls"], stdout=subprocess.PIPE, stderr=subprocess.PIPE), where the command can run asynchronously and you can read its output from pipe while it's still running.
– Martin
Nov 18 '18 at 15:37
I don't know exactly what you do mean, but normally fabric displays the output of an command that is being executed! If you try to do for example
pip install -r requirements.txt which will install all required and pre-defined python modules, you will see the whole output!– Peshmerge
Nov 16 '18 at 15:20
I don't know exactly what you do mean, but normally fabric displays the output of an command that is being executed! If you try to do for example
pip install -r requirements.txt which will install all required and pre-defined python modules, you will see the whole output!– Peshmerge
Nov 16 '18 at 15:20
What I am trying to achieve is something like
p = subprocess.Popen(["ls"], stdout=subprocess.PIPE, stderr=subprocess.PIPE), where the command can run asynchronously and you can read its output from pipe while it's still running.– Martin
Nov 18 '18 at 15:37
What I am trying to achieve is something like
p = subprocess.Popen(["ls"], stdout=subprocess.PIPE, stderr=subprocess.PIPE), where the command can run asynchronously and you can read its output from pipe while it's still running.– Martin
Nov 18 '18 at 15:37
add a comment |
1 Answer
1
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votes
If you want to use fabric to do some stuff remotely, you have first of all follow this structure to make a connection:
@task(hosts=["servername"])
def do_things(c):
with connection(host=host, user=user,) as c:
c.run("long-running-script-outputing-state-information-into-stdout.py")
This will output the whole output regardless what you are doing!
you have to use with connection(host=host, user=user,) as c: to ensure that everything you run will run within that connection context!
answered Nov 16 '18 at 15:24
PeshmergePeshmerge
397320
add a comment |
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1 Answer
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
If you want to use fabric to do some stuff remotely, you have first of all follow this structure to make a connection:
@task(hosts=["servername"])
def do_things(c):
with connection(host=host, user=user,) as c:
c.run("long-running-script-outputing-state-information-into-stdout.py")
This will output the whole output regardless what you are doing!
you have to use with connection(host=host, user=user,) as c: to ensure that everything you run will run within that connection context!
answered Nov 16 '18 at 15:24
PeshmergePeshmerge
397320
add a comment |
If you want to use fabric to do some stuff remotely, you have first of all follow this structure to make a connection:
@task(hosts=["servername"])
def do_things(c):
with connection(host=host, user=user,) as c:
c.run("long-running-script-outputing-state-information-into-stdout.py")
This will output the whole output regardless what you are doing!
you have to use with connection(host=host, user=user,) as c: to ensure that everything you run will run within that connection context!
answered Nov 16 '18 at 15:24
PeshmergePeshmerge
397320
add a comment |
If you want to use fabric to do some stuff remotely, you have first of all follow this structure to make a connection:
@task(hosts=["servername"])
def do_things(c):
with connection(host=host, user=user,) as c:
c.run("long-running-script-outputing-state-information-into-stdout.py")
This will output the whole output regardless what you are doing!
you have to use with connection(host=host, user=user,) as c: to ensure that everything you run will run within that connection context!
answered Nov 16 '18 at 15:24
PeshmergePeshmerge
397320
If you want to use fabric to do some stuff remotely, you have first of all follow this structure to make a connection:
@task(hosts=["servername"])
def do_things(c):
with connection(host=host, user=user,) as c:
c.run("long-running-script-outputing-state-information-into-stdout.py")
This will output the whole output regardless what you are doing!
you have to use with connection(host=host, user=user,) as c: to ensure that everything you run will run within that connection context!
answered Nov 16 '18 at 15:24
PeshmergePeshmerge
397320
answered Nov 16 '18 at 15:24
PeshmergePeshmerge
397320
answered Nov 16 '18 at 15:24
PeshmergePeshmerge
397320
answered Nov 16 '18 at 15:24
PeshmergePeshmerge
397320
397320
add a comment |
add a comment |
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I don't know exactly what you do mean, but normally fabric displays the output of an command that is being executed! If you try to do for example
pip install -r requirements.txtwhich will install all required and pre-defined python modules, you will see the whole output!– Peshmerge
Nov 16 '18 at 15:20
What I am trying to achieve is something like
p = subprocess.Popen(["ls"], stdout=subprocess.PIPE, stderr=subprocess.PIPE), where the command can run asynchronously and you can read its output from pipe while it's still running.– Martin
Nov 18 '18 at 15:37