def test_4_timeinterval(self):
self.assertEqual(
time_interval('1/17/2016 03:30:15 AM', '1/17/2016 03:31:45 AM',
'%m/%d/%Y %I:%M:%S %p'), 1.5)
self.assertEqual(
time_interval('1/17/2016 03:30:15 AM', '1/17/2016 03:31:45 PM',
'%m/%d/%Y %I:%M:%S %p'), 721.5)
self.assertEqual(
time_interval('1/aa/2016 03:30:15 AM', '', '%m/%d/%Y %I:%M:%S %p'),
0.0)
def test_4_timeinterval(self):
self.assertEqual(time_interval('1/17/2016 03:30:15 AM',
'1/17/2016 03:31:45 AM',
'%m/%d/%Y %I:%M:%S %p'), 1.5)
self.assertEqual(time_interval('1/17/2016 03:30:15 AM',
'1/17/2016 03:31:45 PM',
'%m/%d/%Y %I:%M:%S %p'), 721.5)
self.assertEqual(time_interval('1/aa/2016 03:30:15 AM',
'',
'%m/%d/%Y %I:%M:%S %p'), 0.0)
def all_docs():
with open(filename, newline='') as doc_file:
fields = get_fieldnames(doc_file)
dict_reader = csv.DictReader(doc_file, fieldnames=fields)
if 'ticket' in doc_type:
fields.append("ticket_time")
echo('Using the following ' + str(len(fields)) + ' fields:',
quiet)
for field in fields:
echo(field, quiet)
i = 0
for row in dict_reader:
# Prepare meta info for each indexed document.
meta = {
'index': idx_name,
'type': doc_type,
}
if id_field_idx is not None:
meta['id'] = row[fields[int(id_field_idx)]]
# Convert tim inteval to an integer in minutes.
for k, v in row.items():
if isinstance(v, str) and isperiod(v):
row[k] = t2i(v)
if 'ticket' in doc_type:
row['ticket_time'] = time_interval(row['create_time'],
row['close_time'],
'%m/%d/%Y %I:%M:%S %p')
i += 1
echo('Sending item %s to ES ...' % i, quiet)
yield index_op(row, meta)
def which_video(directory,
t0,
target_start,
target_duration=None,
target_end=None):
"""Take a directory of videos and a desired range of time (relative to t0).
Return a video that spans that time and when to start relative to the
timeline of the video."""
if target_duration:
target_end = target_start + target_duration
table = {}
for filename in sorted(os.listdir(directory)):
filepath = os.path.join(directory, filename)
info = video_info(filepath)
if not (info['creation'] and info['duration']):
continue
video_duration = time_interval(
info['duration']) # TO DO: Do this in video_info()
start = info['creation'] - t0
table[filepath] = (start, start + video_duration)
for filepath, age_range in table.iteritems():
start, end = age_range
if start < target_start and end > target_start:
# This video covers the beginning of our target range.
if end > target_end:
# This video also covers the end.
vstart = target_start - start
logging.info("Matched video file: %s", filepath)
return filepath, vstart
return None
def all_docs():
with open(filename, newline='') as doc_file:
fields = get_fieldnames(doc_file)
dict_reader = csv.DictReader(doc_file, fieldnames=fields)
if 'ticket' in doc_type:
fields.append("ticket_time")
echo('Using the following ' + str(len(fields)) + ' fields:',
quiet)
for field in fields:
echo(field, quiet)
i = 0
for row in dict_reader:
# Prepare meta info for each indexed document.
meta = {
'index': idx_name,
'type': doc_type,
}
if id_field_idx is not None:
meta['id'] = row[fields[int(id_field_idx)]]
# Convert tim inteval to an integer in minutes.
for k, v in row.items():
if isinstance(v, str) and isperiod(v):
row[k] = t2i(v)
if 'ticket' in doc_type:
row['ticket_time'] = time_interval(row['create_time'],
row['close_time'],
'%m/%d/%Y %I:%M:%S %p')
i += 1
echo('Sending item %s to ES ...' % i, quiet)
yield index_op(row, meta)
def _maybe_cast_time(time_or_string):
if type(time_or_string) is str:
return time_interval(time_or_string)
else:
return time_or_string