Passing args, kwargs, to run_in_executor
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
asked Nov 19 '18 at 4:12
David LDavid L
37816
add a comment |
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
asked Nov 19 '18 at 4:12
David LDavid L
37816
what is the definition ofupdate_contacts?
– Netwave
Nov 19 '18 at 4:35
add a comment |
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
asked Nov 19 '18 at 4:12
David LDavid L
37816
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
asked Nov 19 '18 at 4:12
David LDavid L
37816
asked Nov 19 '18 at 4:12
David LDavid L
37816
asked Nov 19 '18 at 4:12
David LDavid L
37816
asked Nov 19 '18 at 4:12
David LDavid L
37816
asked Nov 19 '18 at 4:12
David LDavid L
37816
37816
what is the definition ofupdate_contacts?
– Netwave
Nov 19 '18 at 4:35
add a comment |
what is the definition ofupdate_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
add a comment |
2 Answers
2
active
oldest
votes
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.
answered Nov 19 '18 at 6:16
CyphaseCyphase
8,23011627
add a comment |
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.
answered Nov 19 '18 at 6:54
Davis HerringDavis Herring
8,1821635
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
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.
answered Nov 19 '18 at 6:16
CyphaseCyphase
8,23011627
add a comment |
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.
answered Nov 19 '18 at 6:16
CyphaseCyphase
8,23011627
add a comment |
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.
answered Nov 19 '18 at 6:16
CyphaseCyphase
8,23011627
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.
answered Nov 19 '18 at 6:16
CyphaseCyphase
8,23011627
answered Nov 19 '18 at 6:16
CyphaseCyphase
8,23011627
answered Nov 19 '18 at 6:16
CyphaseCyphase
8,23011627
answered Nov 19 '18 at 6:16
CyphaseCyphase
8,23011627
8,23011627
add a comment |
add a comment |
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.
answered Nov 19 '18 at 6:54
Davis HerringDavis Herring
8,1821635
add a comment |
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.
answered Nov 19 '18 at 6:54
Davis HerringDavis Herring
8,1821635
add a comment |
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.
answered Nov 19 '18 at 6:54
Davis HerringDavis Herring
8,1821635
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.
answered Nov 19 '18 at 6:54
Davis HerringDavis Herring
8,1821635
answered Nov 19 '18 at 6:54
Davis HerringDavis Herring
8,1821635
answered Nov 19 '18 at 6:54
Davis HerringDavis Herring
8,1821635
answered Nov 19 '18 at 6:54
Davis HerringDavis Herring
8,1821635
8,1821635
add a comment |
add a comment |
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what is the definition of
update_contacts?– Netwave
Nov 19 '18 at 4:35