def file_summary(self, file_path, from_time, to_time, projects):
project_sums = defaultdict(lambda: datetime.timedelta())
total_time = datetime.timedelta()
with open(file_path, 'r') as f:
for line in f:
this_proj, clockin_time = parse_clockin(line)
if projects is None or this_proj in projects:
try:
clockout_time = parse_clockout(f.next())
except StopIteration:
clockout_time = now
time_in_range = self.time_in_range(clockin_time, clockout_time,
from_time, to_time)
project_sums[this_proj] += time_in_range
total_time += time_in_range
return project_sums, total_time
def _file_data(self, file_path, from_time=None, to_time=None, projects=None):
"""Given a file and user-supplied parameters, return (projects, from_time, to_time),
where projects is a set, and from_time and to_time are datetime objects. No return
value will be None.
"""
scraped_projects = set()
min_datetime = None
max_datetime = None
with open(file_path, 'r') as f:
for line in f:
this_proj, clockin_time = parse_clockin(line)
if projects is None or this_proj in projects:
scraped_projects.add(this_proj)
if min_datetime is None:
min_datetime = clockin_time
else:
min_datetime = min(min_datetime, clockin_time)
try:
clockout_time = parse_clockout(f.next())
except StopIteration:
clockout_time = now
if max_datetime is None:
max_datetime = clockout_time
else:
max_datetime = max(max_datetime, clockout_time)
if None in (min_datetime, max_datetime):
new_from, new_to = now, now
else:
new_from, new_to = min_datetime, max_datetime
if from_time is None or new_from > from_time:
from_time = new_from
if to_time is None or new_to < to_time:
to_time = new_to
return scraped_projects, from_time, to_time