57 lines
1.5 KiB
Python
57 lines
1.5 KiB
Python
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import json
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import re
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population_data = {}
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with open("bevölkerung.csv") as f:
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next(f)
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for line in f:
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columns = line.split(";")
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name = columns[1]
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population = int(columns[2])
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population_sum = sum(map(int, columns[3:]))
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assert population_sum == population
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population_data[name] = population
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print(len(population_data))
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with open("Bezirke.js") as f:
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text = f.read()
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text = text.replace("var dpBezirke = ", "").replace(";", "")
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data = json.loads(text)
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cases = {}
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for d in data:
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cases[d["label"]] = d["y"]
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export = {}
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for name, count in cases.items():
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if name == "Gröbming":
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continue
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export[name] = {"pop": population_data[name], "cases": count}
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relmin = min(e["cases"] / e["pop"] for e in export.values())
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relmax = max(e["cases"] / e["pop"] for e in export.values())
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absmin = 0
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absmax = max(e["cases"] for e in export.values())
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with open("SimpleData.js") as f:
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regex = r"LetzteAktualisierung = \"(.+)\";"
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text = f.read()
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res = re.search(regex, text)
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last_update = res.group(1)
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with open("public/data.json", "w") as f:
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json.dump({
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"source": [
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"https://info.gesundheitsministerium.at/data/Bezirke.js",
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"https://info.gesundheitsministerium.at/data/SimpleData.js"
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],
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"data": export,
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"relmin": relmin,
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"relmax": relmax,
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"absmin": absmin,
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"absmax": absmax,
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"lastUpdate": last_update
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}, f, indent=2)
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