./swecovid.py -p 7,14,21

swecovid.py

#!/usr/bin/python3

import argparse
import json
import requests
import datetime


def arg_parse():
    parser = argparse.ArgumentParser()
    
    parser.add_argument(
        "-p",
        "--period",
        default="14",
        help="How many days to use for average count (comma separated for multiple).",
    )

    return parser.parse_args()


def fetch(url):
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.100 Safari/537.36"
    }
    return requests.get(url, headers=headers)


if __name__ == "__main__":
    opts = arg_parse()

    url = "https://services5.arcgis.com/fsYDFeRKu1hELJJs/arcgis/rest/services/FOHM_Covid_19_FME_1/FeatureServer/1/query?f=geojson&where=1%3D1&outFields=*&orderByFields=Statistikdatum"
    data = json.loads(requests.get(url).text)

    population = 10343403
    periods = [int(x) for x in opts.period.split(",")]

    last = []

    for ent in data["features"]:
        count = ent["properties"]["Totalt_antal_fall"]
        last.append(count)
        avgs = []
        for period in periods:
            if len(last) < period:
                period = len(last)

            avg = int(round(sum(last[-period:]) / period, 0))
            avgs.append("%7s" % ("%s=%s" % (period, avg)))

        pcapita = int(round(sum(last[-14:]) / population * 100000, 0))

        ts = int(ent["properties"]["Statistikdatum"] / 1000)
        ts = datetime.datetime.utcfromtimestamp(ts).strftime("%Y-%m-%d")
        print("%s %7s %8s %s" % (ts, "n=%s" % count, "pc=%s" % pcapita, " ".join(avgs)))