Incremental stdout out of fabric












1















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?










share|improve this question























  • 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
















1















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?










share|improve this question























  • 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














1












1








1








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?










share|improve this question














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






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share|improve this question











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asked Nov 15 '18 at 20:23









MartinMartin

1568




1568













  • 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



















  • 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

















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












1 Answer
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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!






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    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!






    share|improve this answer




























      0














      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!






      share|improve this answer


























        0












        0








        0







        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!






        share|improve this answer













        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!







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 16 '18 at 15:24









        PeshmergePeshmerge

        427521




        427521
































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