bbb-status/src/langfingaz/plotMeetings.py

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from datetime import datetime, timedelta
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from pathlib import Path
from typing import List
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import logging
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
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from langfingaz import loadData
from langfingaz import parseMeetings
from langfingaz.parseMeetings import BbbStatus, Meeting
from langfingaz.util import fileUtil
from langfingaz.util import util
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def getDefaultPlotFolder() -> Path:
return fileUtil.getProjectBaseDir().joinpath("plot")
def plotMeetings(dataDir: Path = fileUtil.getProjectBaseDir().joinpath("data")):
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bbbStati: List[BbbStatus] = []
for file in dataDir.iterdir():
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if file.name.endswith(".xml"):
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logging.debug("Reading from file " + str(file))
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dataStr, t = loadData.loadData(file)
meetings: List[Meeting] = parseMeetings.parseMeetingsData(dataStr)
bbbStati.append(parseMeetings.BbbStatus(meetings, t))
if (len(bbbStati) < 1):
print("No bbbStatus objects could be read from data directory: " + str(dataDir))
return
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# sort by date (x-axis)
bbbStati = sorted(bbbStati, key=BbbStatus.getKey)
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# filter: take only bbbStatus objects of the last month (4 weeks)
#
# start: datetime = bbbStati[0].pointOfTime
# end: datetime = bbbStati[-1].pointOfTime
# delta: timedelta = end-start
end: datetime = bbbStati[-1].pointOfTime
monthBeforeEnd: datetime = end - timedelta(days=28)
bbbStati = [bbbStatus for bbbStatus in bbbStati if bbbStatus.pointOfTime >= monthBeforeEnd]
image: Path = doPlotMeetings(bbbStati)
print("saved image at " + str(image))
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def doPlotMeetings(bbbStati: List[BbbStatus]) -> Path:
'''
:param bbbStati: List of bbbStatus objects sorted by date
'''
time = [] # x-axis: time
participants = [] # yAxis (1)
videos = [] # yAxis (2)
voices = [] # yAxis (3)
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for bbbStatus in bbbStati:
time.append(bbbStatus.pointOfTime)
participants.append(bbbStatus.participantCount)
videos.append(bbbStatus.videoCount)
voices.append(bbbStatus.voiceParticipantCount)
_a, _b = plt.subplots() # Create a figure and an axes.
fig: plt.Figure = _a
ax = _b # of type plt.axes.Axes ??
if not (issubclass(type(fig), plt.Figure)):
raise ValueError("expected Figure")
ax.plot(time, participants, label='participants')
ax.plot(time, videos, label='video')
ax.plot(time, voices, label='voice')
# format the ticks (on x-axis)
days = mdates.DayLocator(interval=2) # every second days
hours = mdates.HourLocator(interval=12) # every 12 hours one minor tick
dateFmt = mdates.DateFormatter('%Y-%m-%d')
ax.xaxis.set_major_locator(days)
ax.xaxis.set_major_formatter(dateFmt)
ax.xaxis.set_minor_locator(hours)
# round to nearest day
dateMin = time[0].date() # round floor
dateMax = util.roundCeilingByDay(time[-1]) # round ceiling
ax.set_xlim(dateMin, dateMax)
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ax.set_xlabel('time') # Add an x-label to the axes.
ax.set_ylabel('numbers') # Add a y-label to the axes.
ax.set_title("BigBlueButton Statistics") # Add a title to the axes.
ax.legend() # Add a legend.
# rotates and right aligns the x labels (dates), and moves the bottom of the
# axes up to make room for them
# https://matplotlib.org/api/_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure.autofmt_xdate
fig.autofmt_xdate()
imgFormat = 'png'
image: Path = getDefaultPlotFolder().joinpath(
"{}_until_{}.{}".format(
fileUtil.asString(time[0]),
fileUtil.asString(time[-1]),
imgFormat
)
)
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fig.savefig(image, format=imgFormat, dpi=400)
# plt.show()
return image
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if __name__ == '__main__':
plotMeetings()