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timestamp.py
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timestamp.py
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"""
Command line application to timestamp events
"""
import os
import sys
from collections import namedtuple
import timeapi
from datetime import timedelta
__author__ = 'Mauro Bruni'
__email___ = 'maumarbru@gmail.com'
BASE_DIR = os.path.abspath(os.path.dirname(__file__))
log_file_name = os.path.join(BASE_DIR, 'list.txt')
text_editor = 'subl'
LAST_REPORT = 'LAST_REPORT'
main_end = 'end'
main_start = 'start'
events = [
main_end,
main_start,
LAST_REPORT,
]
def show_events():
print
for i, event in enumerate(events):
print '\t{0}: {1}'.format(i, event)
Period = namedtuple('Period', 'start end')
class Metric(object):
def __init__(self):
self.periods = []
def analize(self, start, end):
"""Analize a new time interval *start* - *end*"""
self.periods.append(Period(start, end))
@property
def value(self):
"""Return the calculated value"""
class WeeklyMeanMetric(Metric):
@property
def value(self):
sum_periods = sum(
(p.end - p.start for p in self.periods), timedelta(0))
try:
return sum_periods.total_seconds() / 3600.0 / self.weeks
except ZeroDivisionError:
return 0
@property
def weeks(self):
periods = sorted(self.periods)
try:
initial = periods[0].start
final = periods[-1].end
except IndexError:
return 0
return (final - initial).total_seconds() / timedelta(days=7).total_seconds()
def show_stats():
t0 = None
a_week = timedelta(days=7)
a_day = timedelta(days=1)
now = timeapi.now()
last_report_time = now
last_report_accum = timedelta(0)
total = timedelta(0)
last_week = timedelta(0)
last_day = timedelta(0)
weekly_mean = WeeklyMeanMetric()
for event, timestamp in load():
if event == main_start:
t0 = timestamp
elif event == main_end:
if t0 is None:
raise ValueError(
'{} missing before {}'.format(main_start, main_end))
t = timestamp - t0
total += t
weekly_mean.analize(t0, timestamp)
if (now - t0) < a_week:
last_week += t
if (now - t0) < a_day:
last_day += t
if t0 > last_report_time:
last_report_accum += t
t0 = None
elif event == LAST_REPORT:
last_report_time = timestamp
last_report_accum = timedelta(0)
print('Last day: {}'.format(last_day))
print('Last week: {}'.format(last_week))
if weekly_mean.weeks >= 1:
print('Weekly mean: {} hour/week along {} weeks'.format(weekly_mean.value, weekly_mean.weeks))
print('Total: {}'.format(total))
print('Since last report: {}'.format(last_report_accum))
def select(event_id=None):
show_stats()
try:
if event_id is None:
show_events()
id_str = raw_input('Choose an event: ')
if len(id_str) > 0:
return int(id_str)
else:
print "Doing nothing :P"
exit(0)
else:
if event_id >= len(events):
show_events()
print "Error: Event {0} not found".format(event_id)
exit(1)
else:
return event_id
except KeyboardInterrupt:
print
exit(0)
def clear_comment(text_line):
try:
i = text_line.index('#')
return text_line[:i]
except ValueError:
return text_line
def load():
""" Load `log_file_name` and return an object oriented list """
L = []
try:
for line in open(log_file_name):
line = clear_comment(line)
if len(line.strip()) > 0:
str_time, event = split(line)
time = timeapi.parse(str_time.strip())
L.append((event.strip(), time))
finally:
return L
def split(line):
""" Split between event name and time """
i1 = line.rfind(' ')
i2 = line.rfind('\t')
if i1 == -1:
i1 = len(line)
if i2 == -1:
i2 = len(line)
if i1 > i2:
i = i1
elif i2 > i1:
i = i2
else:
raise ValueError(
"split doesn't find a ' ' or '\\t' in '%s'" % line.strip())
return line[:i].strip(), line[i:].strip()
def verify_insertion(event):
""" Return True if `event` is `main_end` for a last registered `main_start` and viceversa """
L = load()
starts = [item[1] for item in L if item[0] == main_start]
if len(starts) == 0 and event == main_end:
print "You must define at least one '{}' event first".format(main_start)
return False
ends = [item[1] for item in L if item[0] == main_end]
if len(ends) == 0 or starts[-1] > ends[-1]:
if event == main_end:
return True
else:
if len(starts) == 0:
return True
print "You'er trying to insert '{0}' when the last registered was at {1}.".format(event, starts[-1])
return False
elif len(starts) == 0 or starts[-1] < ends[-1]:
if event == main_start:
return True
elif event == main_end:
print "You're trying to insert '{0}' when the last registered was at {1}.".format(event, ends[-1])
return False
else:
return True
else:
print "There's no time between {0} and {1}".format(starts[-1], ends[-1])
return False
def stamp(event_id):
while True:
if verify_insertion(events[event_id]):
record = '{0}\t{1}'.format(timeapi.now(str), events[event_id])
with open(log_file_name, 'a+') as f:
f.write(record + '\n')
print record
break
else:
print "Timestamp not inserted."
answer = raw_input(
"Do you want to insert the remaining timestamp manually (y/[n])? ")
if len(answer) > 0 and answer.lower() == 'y':
os.system(text_editor + ' ' + log_file_name)
print "re-trying timestamp ..."
else:
print "Bye bye :/"
break
def mean_hours_per_day():
""" Return the mean hours per day using the registered days """
L = load()
accum, days = timedelta(0), 0
for event, time in L:
if event == main_start:
t = time
elif event == main_end:
d = time - t
if d > timedelta(days=1):
print "Warning: '{0}' is too long for the working day since '{1}' to '{2}'".format(d, t, time)
else:
accum, days = accum + d, days + 1
return (accum / days).seconds / 3600.0
# return accum.seconds/days
def days_hours(time):
t = time.time()
d = time.date()
days = (d.day - 1) + (d.month - 1) * 30.5 + d.year * 365.25
hours = t.hour + t.minute / 60.0
if hours < 5.0:
hours += 24.0
days -= 1
return days, hours
def plot():
import pylab as pl
for event, time in load():
color = {main_start: 'g*', main_end: 'r*'}
days, hours = days_hours(time)
try:
pl.plot([days], [hours], color[event])
except KeyError:
pass
pl.grid(True)
pl.xlabel('Time [day]')
pl.ylabel('Day interval [hours]')
pl.show()
def plot2():
import pylab as pl
hs, ds = [], []
for event, time in load():
if event == main_start:
start_time = time
elif event == main_end:
d0, h0 = days_hours(start_time)
d1, h1 = days_hours(time)
hs.append((h0, h1))
ds.append((d0, d1))
pl.plot([d0, d1], [h0, h1], 'b')
ihs, fhs = zip(*hs)
ids, fds = zip(*ds)
pl.plot(ids, ihs, 'g')
pl.plot([ids[0], ids[-1]], [pl.mean(ihs)] * 2, 'g--')
pl.plot(fds, fhs, 'r')
pl.plot([fds[0], fds[-1]], [pl.mean(fhs)] * 2, 'r--')
f, i = pl.mean(fhs), pl.mean(ihs)
pl.plot([fds[0], fds[-1]], [(f + i) / 2] * 2, 'b--')
print i, f, f - i, (f + i) / 2
std_i, std_f = pl.std(ihs), pl.std(fhs)
print std_i, std_f
pl.xlim(ids[0], fds[-1])
pl.ylim(4, 28)
pl.grid(True)
pl.xlabel('Time [day]')
pl.ylabel('Day interval [hours]')
pl.show()
if __name__ == '__main__':
try:
event_id = select(int(sys.argv[1]))
except IndexError:
event_id = select()
stamp(event_id)
show_stats()