def finish_parsing(self):
#put generated data in unresizable numpy format
c_states = []
i=0
for tc in self.tmp_c_states:
t = tcIdleState(name='cpu%d'%(i))
while len(tc['start_ts'])>len(tc['end_ts']):
tc['end_ts'].append(tc['start_ts'][-1])
t.start_ts = numpy.array(tc['start_ts'])
t.end_ts = numpy.array(tc['end_ts'])
t.types = numpy.array(tc['types'])
c_states.append(t)
i+=1
self.c_states=c_states
i=0
p_states = []
for tc in self.tmp_p_states:
t = tcFrequencyState(name='cpu%d'%(i))
t.start_ts = numpy.array(tc['start_ts'])
t.end_ts = numpy.array(tc['end_ts'])
t.types = numpy.array(tc['types'])
i+=1
p_states.append(t)
self.wake_events = numpy.array(self.wake_events,dtype=[('waker',tuple),('wakee',tuple),('time','uint64')])
self.p_states=p_states
processes = []
last_ts = 0
for pid,comm in self.tmp_process:
tc = self.tmp_process[pid,comm]
if len(tc['end_ts'])>0 and last_ts < tc['end_ts'][-1]:
last_ts = tc['end_ts'][-1]
if len(self.tmp_process) >0:
progress = ProgressDialog(title="precomputing data", message="precomputing overview data...", max=len(self.tmp_process), show_time=False, can_cancel=False)
progress.open()
i = 0
for pid,comm in self.tmp_process:
tc = self.tmp_process[pid,comm]
if self.process_types.has_key(tc['type']):
klass, order = self.process_types[tc['type']]
t = klass(pid=pid,comm=tc['comm'],project=self)
else:
t = tcProcess(pid=pid,comm=comm,project=self)
while len(tc['start_ts'])>len(tc['end_ts']):
tc['end_ts'].append(last_ts)
t.start_ts = numpy.array(tc['start_ts'])
t.end_ts = numpy.array(tc['end_ts'])
t.types = numpy.array(tc['types'])
t.cpus = numpy.array(tc['cpus'])
t.comments = tc['comments'] #numpy.array(tc['comments'])
t.process_type = tc["type"]
# precompute 16 levels of overview cache
t.get_overview_ts(1<<16)
processes.append(t)
progress.update(i)
i += 1
if len(self.tmp_process) > 0:
progress.close()
self.tmp_process = []
def cmp_process(x,y):
# sort process by type, pid, comm
def type_index(t):
try:
return self.process_types[t][1]
except ValueError:
return len(order)+1
c = cmp(type_index(x.process_type),type_index(y.process_type))
if c != 0:
return c
c = cmp(x.pid,y.pid)
if c != 0:
return c
c = cmp(x.comm,y.comm)
return c
processes.sort(cmp_process)
self.processes = processes
self.p_states=p_states
self.tmp_c_states = []
self.tmp_p_states = []
self.tmp_process = {}
def finish_parsing(self):
#put generated data in unresizable numpy format
c_states = []
i = 0
for tc in self.tmp_c_states:
t = tcIdleState(name='cpu%d' % (i))
while len(tc['start_ts']) > len(tc['end_ts']):
tc['end_ts'].append(tc['start_ts'][-1])
t.start_ts = numpy.array(tc['start_ts'])
t.end_ts = numpy.array(tc['end_ts'])
t.types = numpy.array(tc['types'])
c_states.append(t)
i += 1
self.c_states = c_states
i = 0
p_states = []
for tc in self.tmp_p_states:
t = tcFrequencyState(name='cpu%d' % (i))
t.start_ts = numpy.array(tc['start_ts'])
t.end_ts = numpy.array(tc['end_ts'])
t.types = numpy.array(tc['types'])
i += 1
p_states.append(t)
self.wake_events = numpy.array(self.wake_events,
dtype=[('waker', tuple),
('wakee', tuple),
('time', 'uint64')])
self.p_states = p_states
processes = []
last_ts = 0
for pid, comm in self.tmp_process:
tc = self.tmp_process[pid, comm]
if len(tc['end_ts']) > 0 and last_ts < tc['end_ts'][-1]:
last_ts = tc['end_ts'][-1]
if len(self.tmp_process) > 0:
progress = ProgressDialog(title="precomputing data",
message="precomputing overview data...",
max=len(self.tmp_process),
show_time=False,
can_cancel=False)
progress.open()
i = 0
for pid, comm in self.tmp_process:
tc = self.tmp_process[pid, comm]
if self.process_types.has_key(tc['type']):
klass, order = self.process_types[tc['type']]
t = klass(pid=pid, comm=tc['comm'], project=self)
else:
t = tcProcess(pid=pid, comm=comm, project=self)
while len(tc['start_ts']) > len(tc['end_ts']):
tc['end_ts'].append(last_ts)
t.start_ts = numpy.array(tc['start_ts'])
t.end_ts = numpy.array(tc['end_ts'])
t.types = numpy.array(tc['types'])
t.cpus = numpy.array(tc['cpus'])
t.comments = tc['comments'] #numpy.array(tc['comments'])
t.process_type = tc["type"]
# precompute 16 levels of overview cache
t.get_overview_ts(1 << 16)
processes.append(t)
progress.update(i)
i += 1
if len(self.tmp_process) > 0:
progress.close()
self.tmp_process = []
def cmp_process(x, y):
# sort process by type, pid, comm
def type_index(t):
try:
return self.process_types[t][1]
except ValueError:
return len(order) + 1
c = cmp(type_index(x.process_type), type_index(y.process_type))
if c != 0:
return c
c = cmp(x.pid, y.pid)
if c != 0:
return c
c = cmp(x.comm, y.comm)
return c
processes.sort(cmp_process)
self.processes = processes
self.p_states = p_states
self.tmp_c_states = []
self.tmp_p_states = []
self.tmp_process = {}
