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import re
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import datetime
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import time
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import numpy as np
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import matplotlib
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import matplotlib.pyplot as plt
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import matplotlib.dates as mdates
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from collections import Counter
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months = mdates.MonthLocator() # every month
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days = mdates.DayLocator() # Every day
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monthsFmt = mdates.DateFormatter('%m-%Y')
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logfile = "/var/log/pacman.log"
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interesting_line = re.compile(
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r"\[(?P\d{4}-\d{2}-\d{2} \d{2}:\d{2})\] "
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"(?Pinstalled|upgraded|removed)")
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installs = Counter()
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upgrades = Counter()
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removes = Counter()
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with open(logfile) as logfile:
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for line in logfile:
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match = interesting_line.search(line)
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if match:
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struct = time.strptime(match.group("datetime"),"%Y-%m-%d %H:%S")
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date = datetime.date(struct.tm_year, struct.tm_mon, struct.tm_mday)
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if match.group("action") == "installed":
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installs[date] += 1
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elif match.group("action") == "upgraded":
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upgrades[date] += 1
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elif match.group("action") == "removed":
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removes[date] += 1
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fig = plt.figure()
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ax = fig.add_subplot(111)
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insdatenumpairs = zip(installs.keys(), installs.values())
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insdatenumpairs = sorted(insdatenumpairs, key = lambda pair: pair[0])
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upgdatenumpairs = zip(upgrades.keys(), upgrades.values())
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upgdatenumpairs = sorted(upgdatenumpairs, key = lambda pair: pair[0])
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remdatenumpairs = zip(removes.keys(), removes.values())
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remdatenumpairs = sorted(remdatenumpairs, key = lambda pair: pair[0])
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ax.plot([pair[0] for pair in insdatenumpairs],[pair[1] for pair in insdatenumpairs],"b")
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ax.plot([pair[0] for pair in upgdatenumpairs],[pair[1] for pair in upgdatenumpairs],"g")
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ax.plot([pair[0] for pair in remdatenumpairs],[pair[1] for pair in remdatenumpairs],"y")
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ax.xaxis.set_major_locator(months)
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ax.xaxis.set_major_formatter(monthsFmt)
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ax.xaxis.set_minor_locator(days)
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datemin = datetime.datetime(min(installs).year, min(installs).month -1, min(installs).day)
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mdate = max([max(installs), max(upgrades), max(removes)])
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datemax = datetime.date(mdate.year, mdate.month + 1, mdate.day)
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ax.set_xlim(datemin, datemax)
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ax.format_xdata = mdates.DateFormatter('%Y-%m-%d')
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ax.grid(True)
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fig.autofmt_xdate()
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plt.legend(("installs","upgrades","removes"))
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plt.show()
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