What would be a nice way to call Julia from Python using a different process?

General Usage
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7

With JSON it really works perfect:

using KiteModels, KitePodModels, Oxygen, HTTP, StructTypes

set::Settings = deepcopy(se())
kcu::KCU = KCU(set)
kps4::KPS4 = KPS4(kcu)

# Add a supporting struct type definition so JSON3 can serialize & deserialize automatically
StructTypes.StructType(::Type{SysState}) = StructTypes.Struct()

function init()
    global integrator
    integrator = KiteModels.init_sim!(kps4, stiffness_factor=0.5, prn=true)
    nothing
end

function start_server(log=true)
    @get "/sys_state" function(req::HTTP.Request)
        SysState(kps4)
    end

    @get "/init" function(req::HTTP.Request)
        init()
    end

    # start the web server
    if log
        serve()
    else
        serve(access_log=nothing)
    end
end

The Python client:

import http.client
import json

connection = http.client.HTTPConnection('127.0.0.1:8080')

def init():
    connection.request('GET', '/init')
    response = connection.getresponse()
    obj = json.loads(response.read())
    return obj

def sys_state():
    connection.request('GET', '/sys_state')
    response = connection.getresponse()
    obj = json.loads(response.read())
    return obj

print(init())
state = sys_state()
print(state)

And the performance is much better than I said in my last post, I did not benchmark correctly:

ipython
%timeit sys_state()
# result: 63.3 µs ± 3.12 µs per loop on Ryzen 7850X
#         99.9 µs ± 5.05 µs per loop on Laptop in performance mode

UPDATE: The final code is available here: GitHub - ufechner7/pykitemodels: Kite power system models for Python

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