Passing args, kwargs, to run_in_executor












1















I am trying to pass arguments to run_in_executor like so:



    loop.run_in_executor(None, update_contacts, data={

        'email': email,

        'access_token': g.tokens['access_token']

    })


However, I get the following error:




run_in_executor() got an unexpected keyword argument 'data'




Is there a generic way to pass args to this function?






python python-3.x







share|improve this question























  • what is the definition of update_contacts?

    – Netwave
    Nov 19 '18 at 4:35
















1















I am trying to pass arguments to run_in_executor like so:



    loop.run_in_executor(None, update_contacts, data={

        'email': email,

        'access_token': g.tokens['access_token']

    })


However, I get the following error:




run_in_executor() got an unexpected keyword argument 'data'




Is there a generic way to pass args to this function?






python python-3.x







share|improve this question























  • what is the definition of update_contacts?

    – Netwave
    Nov 19 '18 at 4:35














1












1








1








I am trying to pass arguments to run_in_executor like so:



    loop.run_in_executor(None, update_contacts, data={

        'email': email,

        'access_token': g.tokens['access_token']

    })


However, I get the following error:




run_in_executor() got an unexpected keyword argument 'data'




Is there a generic way to pass args to this function?






python python-3.x







share|improve this question














I am trying to pass arguments to run_in_executor like so:



    loop.run_in_executor(None, update_contacts, data={

        'email': email,

        'access_token': g.tokens['access_token']

    })


However, I get the following error:




run_in_executor() got an unexpected keyword argument 'data'




Is there a generic way to pass args to this function?






python python-3.x




python python-3.x






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 19 '18 at 4:12









David LDavid L

37816




37816













  • what is the definition of update_contacts?

    – Netwave
    Nov 19 '18 at 4:35



















  • what is the definition of update_contacts?

    – Netwave
    Nov 19 '18 at 4:35

















what is the definition of update_contacts?

– Netwave
Nov 19 '18 at 4:35





what is the definition of update_contacts?

– Netwave
Nov 19 '18 at 4:35












2 Answers
2






active

oldest

votes


















1














Use functools.partial; it's a standard way to do such things, and it's specifically recommended in the docs for loop.run_in_executor, as well as more generally in the Event Loop docs.



Here's how it might look for you:



import functools  # at the top with the other imports



loop.run_in_executor(None, functools.partial(update_contacts, data={

    'email': email,

    'access_token': g.tokens['access_token']

}))


You could also do from functools import partial, if you like.






share|improve this answer































    0














    You asked for a "generic way"; the most generic answer is that you create a function for the purpose. If the data you want to provide is local to the caller, you create that function inside the caller, perhaps as a lambda:



    loop.run_in_executor(None,lambda: update_contacts(data={
    
  'email': email,
    
  'access_token': g.tokens['access_token']
    
})


    As given, this is not much different from the functools.partial answer, and (as the documentation says) it might reduce the utility of debug output, but it lets you do things like compute the data values on the executor and act on the return value from update_contacts.






    share|improve this answer























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      2 Answers
      2






      active

      oldest

      votes








      2 Answers
      2






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes









      1














      Use functools.partial; it's a standard way to do such things, and it's specifically recommended in the docs for loop.run_in_executor, as well as more generally in the Event Loop docs.



      Here's how it might look for you:



      import functools  # at the top with the other imports
      

      
loop.run_in_executor(None, functools.partial(update_contacts, data={
      
    'email': email,
      
    'access_token': g.tokens['access_token']
      
}))


      You could also do from functools import partial, if you like.






      share|improve this answer




























        1














        Use functools.partial; it's a standard way to do such things, and it's specifically recommended in the docs for loop.run_in_executor, as well as more generally in the Event Loop docs.



        Here's how it might look for you:



        import functools  # at the top with the other imports
        

        
loop.run_in_executor(None, functools.partial(update_contacts, data={
        
    'email': email,
        
    'access_token': g.tokens['access_token']
        
}))


        You could also do from functools import partial, if you like.






        share|improve this answer


























          1












          1








          1







          Use functools.partial; it's a standard way to do such things, and it's specifically recommended in the docs for loop.run_in_executor, as well as more generally in the Event Loop docs.



          Here's how it might look for you:



          import functools  # at the top with the other imports
          

          
loop.run_in_executor(None, functools.partial(update_contacts, data={
          
    'email': email,
          
    'access_token': g.tokens['access_token']
          
}))


          You could also do from functools import partial, if you like.






          share|improve this answer













          Use functools.partial; it's a standard way to do such things, and it's specifically recommended in the docs for loop.run_in_executor, as well as more generally in the Event Loop docs.



          Here's how it might look for you:



          import functools  # at the top with the other imports
          

          
loop.run_in_executor(None, functools.partial(update_contacts, data={
          
    'email': email,
          
    'access_token': g.tokens['access_token']
          
}))


          You could also do from functools import partial, if you like.







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 19 '18 at 6:16









          CyphaseCyphase

          8,23011627




          8,23011627

























              0














              You asked for a "generic way"; the most generic answer is that you create a function for the purpose. If the data you want to provide is local to the caller, you create that function inside the caller, perhaps as a lambda:



              loop.run_in_executor(None,lambda: update_contacts(data={
              
  'email': email,
              
  'access_token': g.tokens['access_token']
              
})


              As given, this is not much different from the functools.partial answer, and (as the documentation says) it might reduce the utility of debug output, but it lets you do things like compute the data values on the executor and act on the return value from update_contacts.






              share|improve this answer




























                0














                You asked for a "generic way"; the most generic answer is that you create a function for the purpose. If the data you want to provide is local to the caller, you create that function inside the caller, perhaps as a lambda:



                loop.run_in_executor(None,lambda: update_contacts(data={
                
  'email': email,
                
  'access_token': g.tokens['access_token']
                
})


                As given, this is not much different from the functools.partial answer, and (as the documentation says) it might reduce the utility of debug output, but it lets you do things like compute the data values on the executor and act on the return value from update_contacts.






                share|improve this answer


























                  0












                  0








                  0







                  You asked for a "generic way"; the most generic answer is that you create a function for the purpose. If the data you want to provide is local to the caller, you create that function inside the caller, perhaps as a lambda:



                  loop.run_in_executor(None,lambda: update_contacts(data={
                  
  'email': email,
                  
  'access_token': g.tokens['access_token']
                  
})


                  As given, this is not much different from the functools.partial answer, and (as the documentation says) it might reduce the utility of debug output, but it lets you do things like compute the data values on the executor and act on the return value from update_contacts.






                  share|improve this answer













                  You asked for a "generic way"; the most generic answer is that you create a function for the purpose. If the data you want to provide is local to the caller, you create that function inside the caller, perhaps as a lambda:



                  loop.run_in_executor(None,lambda: update_contacts(data={
                  
  'email': email,
                  
  'access_token': g.tokens['access_token']
                  
})


                  As given, this is not much different from the functools.partial answer, and (as the documentation says) it might reduce the utility of debug output, but it lets you do things like compute the data values on the executor and act on the return value from update_contacts.







                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Nov 19 '18 at 6:54









                  Davis HerringDavis Herring

                  8,1821635




                  8,1821635






























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