def trace_event_read_offsets(file_path, mtime):
try:
f = get_file(file_path)
profile = json.load(f)
except JSONDecodeError:
abort(500, 'Failed to parse profile.')
finally:
f.close()
root_slices = []
events = {}
offsets = []
(start_time, end_time) = get_time_range(file_path, mtime, profile)
# process all events in the profile to extract root events
for row in profile:
key = str(row['pid']) + '_' + str(row['tid'])
if row['ph'] == 'B' or row['ph'] == 'E':
if row['ph'] == 'B':
if key not in events:
events[key] = {'ts': row['ts'], 'tts': row['tts'], 'children_count': 0}
else:
events[key]['children_count'] = events[key]['children_count'] + 1
elif row['ph'] == 'E':
if events[key]['children_count'] > 0:
events[key]['children_count'] = events[key]['children_count'] - 1
else:
root_slices.append({'start': events[key]['ts'], 'cpu_start': events[key]['tts'], 'end': row['ts'], 'cpu_end': row['tts']})
del events[key]
elif row['ph'] == 'X':
if 'dur' in row and row['dur'] > 0 and 'tdur' in row and row['tdur'] > 0:
if key not in events: # it's a root event
root_slices.append({'start': row['ts'], 'cpu_start': row['tts'], 'end': row['ts'] + row['dur'], 'cpu_end': row['tts'] + row['tdur']})
# process each root event and generate time offsets based on frequency
for s in root_slices:
first_index = math.floor(s['start'] / u_sec_interval) * u_sec_interval
last_index = math.ceil(s['end'] / u_sec_interval) * u_sec_interval
# TODO: user cpu usage
# usage = (s['cpu_end'] - s['cpu_start']) / (s['end'] - s['start'])
for i in range(first_index, last_index, u_sec_interval):
offsets.append(i / 1000000)
res = collections.namedtuple('offsets', ['start', 'end', 'offsets'])(start_time / 1000000, end_time / 1000000, offsets)
return res
def trace_event_generate_flame_graph(file_path, mtime, range_start, range_end):
try:
f = get_file(file_path)
profile = json.load(f)
except JSONDecodeError:
abort(500, 'Failed to parse profile.')
finally:
f.close()
root = {'name': 'root', 'value': 0, 'children': []}
open_partial_slices = {}
(start_time, end_time) = get_time_range(file_path, mtime, profile)
adjusted_start = (math.floor(start_time / 1000000) + range_start) * 1000000
adjusted_end = (math.floor(start_time / 1000000) + range_end) * 1000000
def filter_and_adjust_slice_times(profile_slice):
# slice starts after the range
# slice ends before the range
if profile_slice['ts'] > adjusted_end or (
profile_slice['ts'] + profile_slice['dur']) < adjusted_start:
return None
# slice starts before the range, need to adjust start time and duration
if profile_slice['ts'] < adjusted_start:
ts_diff = profile_slice['ts'] - adjusted_start
profile_slice['ts']: adjusted_start
profile_slice['dur'] = profile_slice['dur'] + ts_diff
# slice ends after the range, need to adjust duration
if (profile_slice['ts'] + profile_slice['dur']) > adjusted_end:
ts_diff = adjusted_end - (profile_slice['ts'] +
profile_slice['dur'])
profile_slice['dur'] = profile_slice['dur'] + ts_diff
# filter children
if len(profile_slice['children']) > 0:
filtered_children = []
for child in profile_slice['children']:
filtered_child = filter_and_adjust_slice_times(child)
if filtered_child is not None:
filtered_children.append(filtered_child)
profile_slice['children'] = filtered_children
return profile_slice
def get_child_slice(parent_slice, name):
for index, child in enumerate(parent_slice['children']):
if child['name'] == name:
return parent_slice['children'].pop(index)
return None
def insert_slice(parent_slice, new_slice):
child_slice = get_child_slice(parent_slice, new_slice['name'])
if child_slice is None:
child_slice = {
'name': new_slice['name'],
'value': 0,
'children': []
}
for child in new_slice['children']:
insert_slice(child_slice, child)
child_slice['value'] += new_slice['value']
parent_slice['children'].append(child_slice)
def check_thread(pid, tid):
if pid not in open_partial_slices:
open_partial_slices[pid] = {}
if tid not in open_partial_slices[pid]:
open_partial_slices[pid][tid] = []
def begin_slice(pid, tid, cat, name, ts, tts):
check_thread(pid, tid)
open_partial_slices[pid][tid].append({
'pid': pid,
'tid': tid,
'cat': cat,
'name': name,
'ts': ts,
'tts': tts,
'children': []
})
def end_slice(pid, tid, ts, tts):
partial_slice_count = len(open_partial_slices[pid][tid])
if partial_slice_count > 0:
current_slice = open_partial_slices[pid][tid].pop()
current_slice['dur'] = ts - current_slice['ts']
current_slice['tdur'] = tts - current_slice['tts']
if current_slice['dur'] > 0:
current_slice[
'value'] = current_slice['tdur'] / current_slice['dur']
partial_slice_count = len(open_partial_slices[pid][tid])
if partial_slice_count > 0:
open_partial_slices[pid][tid][
partial_slice_count - 1]['children'].append(current_slice)
else:
filtered_slice = filter_and_adjust_slice_times(current_slice)
if filtered_slice is not None:
insert_slice(root, current_slice)
else:
raise Exception("end_slice called without an open slice")
for row in profile:
if row['ph'] == 'B' or row['ph'] == 'E':
if row['ph'] == 'B':
begin_slice(row['pid'], row['tid'], row['cat'], row['name'],
row['ts'], row['tts'])
elif row['ph'] == 'E':
end_slice(row['pid'], row['tid'], row['ts'], row['tts'])
elif row['ph'] == 'X':
if 'dur' in row and row['dur'] > 0 and 'tdur' in row and row[
'tdur'] > 0:
begin_slice(row['pid'], row['tid'], row['cat'], row['name'],
row['ts'], row['tts'])
end_slice(row['pid'], row['tid'], row['ts'] + row['dur'],
row['tts'] + row['tdur'])
return root