how to define origin_check in pywebio start_server

Question

I have a small test script where I'd like to check the pywebio start_server arguments. But neither allowed_origins nor check_origin seems to work in my script:

from pywebio import start_server
from pywebio.input import *
from pywebio.output import *

def main():
    put_markdown("## just a small start_server test")

def my_origin_check(value):
    print(value)
    return False

if __name__ == '__main__':
    start_server(main, check_origin=my_origin_check, debug=True, port=5000)

I can't see the reason why my_origin_check doesn't get called - I'm blind on my eyes ... any help?

Answer 1

According to the source code of start_server():

check_origin_func = lambda origin, handler: _is_same_site(origin, handler) or check_origin(origin)

the user-defined check_origin function only is called when the application url and the underlying websocket api is not on same host

Answer 2

As it's only doing optimisation over one variable, optimize should work fine e.g.

fnToFindRoot = function(x, a=0.07) {  
  y <- data[,(mean(pnorm(qnorm(var1)+x)) - a)^2]
  print(sprintf("x: %s, y:%s", x, y))
  y
}
rootSearch = optimize(fnToFindRoot, interval=c(-5, 5), a=0.07)
fnToFindRoot(rootSearch$minimum)

The problem with the way you had it setup is that the optim function is always trying to minimise the objective. The way you were writing it, it was trying to minimise mean(pnorm(qnorm(var1)+x)) with 0.07 as the starting value of x. Instead, you want to get the objective as close to 0.07 as possible, so minimise (mean(pnorm(qnorm(var1)+x)) - a)^2.

The interval controls the range of x that optimize can use

edit: I was using made up data, so check if rootSearch$minimum works for you. My made up data:

set.seed(1)
data <- data.table()
data[, var1 := runif(100, 0.04, 0.45)]

> fnToFindRoot(rootSearch$minimum)
[1] "x: -0.857685927870974, y:4.1043516952502e-13"
[1] 4.104352e-13