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python aiohttp: cancel handler if user re-requests
2019 Community Moderator ElectionCalling an external command in PythonWhat are metaclasses in Python?Is there a way to run Python on Android?Finding the index of an item given a list containing it in PythonDifference between append vs. extend list methods in PythonHow can I safely create a nested directory in Python?Does Python have a ternary conditional operator?How to get the current time in PythonHow can I make a time delay in Python?Does Python have a string 'contains' substring method?
I have a very simple aiohttp web server:
from aiohttp import web
import time
async def hello(request):
time.sleep(2) # heavy calculations goes here
return web.Response(text="Hello, world")
app = web.Application()
app.add_routes([web.get('/search', hello)])
web.run_app(app)
If a user (in his browser) requests '/search?query=xxx' many times within a short period, I can't do my "heavy calculation" as fast as the user requests it.
I would like to cancel old requests (and send a message to the user that his request has been cancelled) and only reply to the last request with the result of the calculation.
How can I do this?
I need this for a web page with "incremental search", so the user may send requests as fast as he can type. Is this even the proper way to tackle this?
python aiohttp
asked yesterday
XPlatformerXPlatformer
407311
add a comment |
I have a very simple aiohttp web server:
from aiohttp import web
import time
async def hello(request):
time.sleep(2) # heavy calculations goes here
return web.Response(text="Hello, world")
app = web.Application()
app.add_routes([web.get('/search', hello)])
web.run_app(app)
If a user (in his browser) requests '/search?query=xxx' many times within a short period, I can't do my "heavy calculation" as fast as the user requests it.
I would like to cancel old requests (and send a message to the user that his request has been cancelled) and only reply to the last request with the result of the calculation.
How can I do this?
I need this for a web page with "incremental search", so the user may send requests as fast as he can type. Is this even the proper way to tackle this?
python aiohttp
asked yesterday
XPlatformerXPlatformer
407311
1
You typically do that by creating aJobobject and delegating it to some external process. Then you immediately return theidof the job to the user. Then the user waits for the result (via websockets? or long polling?). You can easily implement cancel and rerun as well if you want to. Also you should ensure that there's a timeout on the client side after which requests are sent (don't send request every time he presses a key), for example 200ms should be fine.
– freakish
yesterday
Also perhaps you want to optimize the search itself. Are you saying that it takes 2s? That's most likely too long for anyone. Unless it's some specific niche, like full document search?
– freakish
yesterday
add a comment |
I have a very simple aiohttp web server:
from aiohttp import web
import time
async def hello(request):
time.sleep(2) # heavy calculations goes here
return web.Response(text="Hello, world")
app = web.Application()
app.add_routes([web.get('/search', hello)])
web.run_app(app)
If a user (in his browser) requests '/search?query=xxx' many times within a short period, I can't do my "heavy calculation" as fast as the user requests it.
I would like to cancel old requests (and send a message to the user that his request has been cancelled) and only reply to the last request with the result of the calculation.
How can I do this?
I need this for a web page with "incremental search", so the user may send requests as fast as he can type. Is this even the proper way to tackle this?
python aiohttp
asked yesterday
XPlatformerXPlatformer
407311
I have a very simple aiohttp web server:
from aiohttp import web
import time
async def hello(request):
time.sleep(2) # heavy calculations goes here
return web.Response(text="Hello, world")
app = web.Application()
app.add_routes([web.get('/search', hello)])
web.run_app(app)
If a user (in his browser) requests '/search?query=xxx' many times within a short period, I can't do my "heavy calculation" as fast as the user requests it.
I would like to cancel old requests (and send a message to the user that his request has been cancelled) and only reply to the last request with the result of the calculation.
How can I do this?
I need this for a web page with "incremental search", so the user may send requests as fast as he can type. Is this even the proper way to tackle this?
python aiohttp
python aiohttp
asked yesterday
XPlatformerXPlatformer
407311
asked yesterday
XPlatformerXPlatformer
407311
asked yesterday
XPlatformerXPlatformer
407311
asked yesterday
XPlatformerXPlatformer
407311
asked yesterday
XPlatformerXPlatformer
407311
407311
1
You typically do that by creating aJobobject and delegating it to some external process. Then you immediately return theidof the job to the user. Then the user waits for the result (via websockets? or long polling?). You can easily implement cancel and rerun as well if you want to. Also you should ensure that there's a timeout on the client side after which requests are sent (don't send request every time he presses a key), for example 200ms should be fine.
– freakish
yesterday
Also perhaps you want to optimize the search itself. Are you saying that it takes 2s? That's most likely too long for anyone. Unless it's some specific niche, like full document search?
– freakish
yesterday
add a comment |
1
You typically do that by creating aJobobject and delegating it to some external process. Then you immediately return theidof the job to the user. Then the user waits for the result (via websockets? or long polling?). You can easily implement cancel and rerun as well if you want to. Also you should ensure that there's a timeout on the client side after which requests are sent (don't send request every time he presses a key), for example 200ms should be fine.
– freakish
yesterday
Also perhaps you want to optimize the search itself. Are you saying that it takes 2s? That's most likely too long for anyone. Unless it's some specific niche, like full document search?
– freakish
yesterday
1
1
You typically do that by creating a
Job object and delegating it to some external process. Then you immediately return the id of the job to the user. Then the user waits for the result (via websockets? or long polling?). You can easily implement cancel and rerun as well if you want to. Also you should ensure that there's a timeout on the client side after which requests are sent (don't send request every time he presses a key), for example 200ms should be fine.– freakish
yesterday
You typically do that by creating a
Job object and delegating it to some external process. Then you immediately return the id of the job to the user. Then the user waits for the result (via websockets? or long polling?). You can easily implement cancel and rerun as well if you want to. Also you should ensure that there's a timeout on the client side after which requests are sent (don't send request every time he presses a key), for example 200ms should be fine.– freakish
yesterday
Also perhaps you want to optimize the search itself. Are you saying that it takes 2s? That's most likely too long for anyone. Unless it's some specific niche, like full document search?
– freakish
yesterday
Also perhaps you want to optimize the search itself. Are you saying that it takes 2s? That's most likely too long for anyone. Unless it's some specific niche, like full document search?
– freakish
yesterday
add a comment |
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You typically do that by creating a
Jobobject and delegating it to some external process. Then you immediately return theidof the job to the user. Then the user waits for the result (via websockets? or long polling?). You can easily implement cancel and rerun as well if you want to. Also you should ensure that there's a timeout on the client side after which requests are sent (don't send request every time he presses a key), for example 200ms should be fine.– freakish
yesterday
Also perhaps you want to optimize the search itself. Are you saying that it takes 2s? That's most likely too long for anyone. Unless it's some specific niche, like full document search?
– freakish
yesterday