101 lines
2.6 KiB
Python
Executable File
101 lines
2.6 KiB
Python
Executable File
#!/usr/bin/env python3
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def openURL(urlFragment):
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from os import environ
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from urllib.request import Request, urlopen
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CLIENT_KEY = environ["CLIENT_KEY"]
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BASE = "https://api.appfigures.com/v2/"
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AUTH_HEADER = environ["AUTH_HEADER"]
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return urlopen(
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Request(
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BASE + urlFragment,
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headers={"X-Client-Key": CLIENT_KEY, "Authorization": AUTH_HEADER},
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)
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)
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def getData(pj):
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# https://stackoverflow.com/questions/9627686/plotting-dates-on-the-x-axis-with-pythons-matplotlib#9627970
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from datetime import datetime
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# Remove last couple days, since they're 0
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return list(
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zip(
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*[
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(datetime.strptime(z["date"], "%Y-%m-%d"), z["downloads"], z["updates"])
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for z in sorted(pj.values(), key=lambda _: _["date"])
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][:-4]
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)
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)
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def combineDailyToWeekly(pj, func):
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chunkSize = 7
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return [func(pj[i : i + chunkSize]) for i in range(0, len(pj), chunkSize)]
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def getLastElem(arr):
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return arr[-1]
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def getDownloadsWeekly(t):
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return combineDailyToWeekly(t[0], getLastElem), combineDailyToWeekly(t[1], sum)
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def getUpdatesWeekly(t):
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return combineDailyToWeekly(t[0], getLastElem), combineDailyToWeekly(t[2], sum)
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def getDownloadsDaily(t):
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return t[0], t[1]
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def getUpdatesDaily(t):
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return t[0], t[2]
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def plotData(filename, ylabel, timespan, x, y):
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# allow this to run on a headless server
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import matplotlib
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matplotlib.use("Agg")
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import matplotlib.pyplot as plt
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import matplotlib.dates as mdates
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assert len(x) == len(y)
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plt.clf()
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plt.gca().xaxis.set_major_formatter(mdates.DateFormatter("%Y-%m-%d"))
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plt.gca().xaxis.set_major_locator(mdates.AutoDateLocator())
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plt.xlabel("Date")
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assert ylabel in ("Downloads", "Updates")
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plt.ylabel(ylabel)
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assert timespan in ("Daily", "Weekly")
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plt.title("Status.im %s %s (Appfigures)" % (timespan, ylabel))
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plt.plot(x, y)
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plt.gcf().autofmt_xdate()
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plt.savefig(filename, dpi=150)
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def main():
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from json import loads
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from os.path import join
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from sys import argv
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getPath = lambda n: join(argv[1], n)
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data = getData(loads(openURL("sales/dates/-120/0").read()))
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plotData(getPath("downloads_daily.png"), "Downloads", "Daily", *getDownloadsDaily(data))
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plotData(getPath("updates_daily.png"), "Updates", "Daily", *getUpdatesDaily(data))
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plotData(getPath("downloads_weekly.png"), "Downloads", "Weekly", *getDownloadsWeekly(data))
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plotData(getPath("updates_weekly.png"), "Updates", "Weekly", *getUpdatesWeekly(data))
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main()
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