def output_statistics(name, simpl, sselected, sdetail,
sassigned, sfinished):
f.write("\section{%s}\n" % name)
f.write("\\begin{longtable}{rrl}\n")
f.write("Start date & %s & \\\ \n" % format_date(self._start_date))
# Compute the opens
sum_open = 0
for sp in [simpl, sselected]:
for p in sp:
sum_open += topic_set.get_requirement_set().\
get_requirement(p[1]).\
get_efe_or_0()
f.write("Not done & %d & EfE units \\\ \n" % sum_open)
# Compute the assigned
sum_assigned = 0
for tr in sassigned:
sum_assigned += tr.get_efe_or_0()
f.write("Assigned & %d & EfE units \\\ \n" % sum_assigned)
# Compute the finished
sum_finished = 0
for tr in sfinished:
sum_finished += tr.get_efe_or_0()
f.write("Finished & %d & EfE units \\\ \n" % sum_finished)
# Compute the finished where a time is given
sum_finished_with_duration = 0
for tr in sfinished:
if tr.get_status().get_duration() is not None:
sum_finished_with_duration += tr.get_efe_or_0()
f.write("Finished (duration given) & %d & EfE units \\\ \n" %
sum_finished_with_duration)
# Compute the finished where a time is given
sum_duration = 0
for tr in sfinished:
dur = tr.get_status().get_duration()
if dur is not None:
sum_duration += dur
f.write(" & %d & hours \\\ \n" % sum_duration)
# The Relation and the Estimated End Date can only be computed
# When the duration is not 0.
if sum_duration != 0:
# Relation
rel = sum_finished_with_duration / float(sum_duration)
f.write("Relation & %4.2f & EfE units / hour \\\ \n" % rel)
hours_to_do = sum_open / rel
f.write("Estimated Not done & %4.2f & hours \\\ \n"
% (hours_to_do))
# Estimated End Date
rv = Statistics.get_units(topic_set.get_requirement_set(),
self._start_date, self._end_date)
x = list(i for i in range(0, len(rv)))
y = list(x[0] + x[1] for x in rv)
gradient, intercept, r_value, p_value, std_err \
= stats.linregress(x, y)
if gradient >= 0.0:
f.write("Estimated End date & unpredictable & \\\ \n")
else:
d = intercept / -gradient
end_date = self._start_date + datetime.timedelta(d)
f.write("Estimated End date & %s & \\\ \n" % end_date)
f.write("\end{longtable}")
def output_statistics(name, simpl, sselected, sdetail,
sassigned, sfinished):
f.write("\\section{%s}\n" % name)
f.write("\\begin{longtable}{rrl}\n")
f.write("Start date & %s & \\\\ \n" % format_date(
self._start_date))
# Compute the opens
sum_open = 0
for sp in [simpl, sselected]:
for p in sp:
sum_open += topic_set.get_requirement_set().\
get_requirement(p[1]).\
get_efe_or_0()
f.write("Not done & %d & EfE units \\\\ \n" % sum_open)
# Compute the assigned
sum_assigned = 0
for tr in sassigned:
sum_assigned += tr.get_efe_or_0()
f.write("Assigned & %d & EfE units \\\\ \n" % sum_assigned)
# Compute the finished
sum_finished = 0
for tr in sfinished:
sum_finished += tr.get_efe_or_0()
f.write("Finished & %d & EfE units \\\\ \n" % sum_finished)
# Compute the finished where a time is given
sum_finished_with_duration = 0
for tr in sfinished:
if tr.get_status().get_duration() is not None:
sum_finished_with_duration += tr.get_efe_or_0()
f.write("Finished (duration given) & %d & EfE units \\\\ \n" %
sum_finished_with_duration)
# Compute the finished where a time is given
sum_duration = 0
for tr in sfinished:
dur = tr.get_status().get_duration()
if dur is not None:
sum_duration += dur
f.write(" & %d & hours \\\\ \n" % sum_duration)
# The Relation and the Estimated End Date can only be computed
# When the duration is not 0.
if sum_duration != 0:
# Relation
rel = sum_finished_with_duration / float(sum_duration)
f.write("Relation & %4.2f & EfE units / hour \\\\ \n" % rel)
hours_to_do = sum_open / rel
f.write("Estimated Not done & %4.2f & hours \\\\ \n"
% (hours_to_do))
# Estimated End Date
rv = Statistics.get_units(topic_set.get_requirement_set(),
self._start_date, self._end_date)
x = list(i for i in range(0, len(rv)))
y = list(x[0] + x[1] for x in rv)
gradient, intercept, r_value, p_value, std_err \
= stats.linregress(x, y)
if gradient >= 0.0:
f.write("Estimated End date & unpredictable & \\\\ \n")
else:
d = intercept / -gradient
end_date = self._start_date + datetime.timedelta(d)
f.write("Estimated End date & %s & \\\\ \n" % end_date)
f.write("\\end{longtable}")
def requirement_set_pre(self, requirement_set):
'''Compute stats for each requirements set.'''
rval = Statistics.get_units_sprint(requirement_set,
self._start_date, self._end_date)
Statistics.output_stat_files(self._output_filename,
self._start_date, rval)
def output(self, reqscont):
rv = Statistics.get_units_sprint(self.topic_set.reqset,
self.start_date, self.end_date)
Statistics.output_stat_files(self.output_filename, self.start_date, rv)
