This repository contains modified IDL code of upstream repository and Python code which starts HTTP microservice. Everything is dockerized, so you can run the microservice in very smooth manner.
To build docker image run ./build_docker.sh.
To run it, run ./run_docker.sh.
Now, the microservice accepts connections on port 8000.
This is an example how I use it microservice in the client:
import logging
import json_tricks
import numpy as np
import requests
LOGGER: logging.Logger = logging.getLogger()
def snip_points(points, kgon):
x = points[:, 0]
y = points[:, 1]
try:
response = requests.post(f'http://localhost:8000/test?kgon={kgon}',
json=json_tricks.dumps({"x": x,
"y": y}),
timeout=15)
if response.status_code == 500:
LOGGER.info('Request http code 500')
return points, 500
response_json = json_tricks.loads(response.text)
res = response_json['response']
res = np.transpose(res)
res = np.concatenate([res[:, 0], res[:, 1]])
xs = res[::2]
ys = res[1::2]
new_points = np.transpose(np.vstack([xs, ys]))
return new_points, 200
except requests.Timeout:
LOGGER.info('Request timeout')
return points, 408
except requests.ConnectionError:
LOGGER.info('Request connection error')
return points, 404Computes the minimum-area convex k-gon (k-sided polygon) that circumscribes the given convex n-gon. Follows the method of Aggarwal et al, "Minimum area circumscribing Polygons", The Visual Computer (1985) 1:112-117
Example:
IDL> x = [43, 18, 19, 24, 35, 49, 56, 54]*1.
IDL> y = [24, 45, 54, 63, 69, 64, 57, 41]*1.
IDL> result = POLY_KGON(x, y, kgon=4)
IDL> print, result
15.2727 47.2909
28.6026 71.2848
64.4083 58.4970
43.5917 23.5030
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