analytics-dash/appfigures.py

119 lines
2.8 KiB
Python
Executable File

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