def run(self, acc_scale=True):
logger = self.logger
logger.info('Data reception on port %i.' % self.data_port)
self.rx = rx = spead.TransportUDPrx(
self.data_port, pkt_count=1024, buffer_size=51200000)
self.running_event.set()
try:
ig = spead.ItemGroup()
idx = -1
dump_size = 0
datasets = {}
datasets_index = {}
# we need these bits of meta data before being able to assemble and transmit
# signal display data
meta_required = ['n_chans', 'bandwidth', 'n_bls', 'n_xengs',
'center_freq', 'bls_ordering', 'n_accs']
meta = {}
for heap in spead.iterheaps(rx):
idx += 1
ig.update(heap)
logger.debug('PROCESSING HEAP idx(%i) cnt(%i) @ %.4f' % (
idx, heap.heap_cnt, time.time()))
# output item values specified
try:
xeng_raw = ig.get_item('xeng_raw')
except KeyError:
xeng_raw = None
if xeng_raw is None:
logger.info('Skipping heap {} since no xeng_raw was found'.format(idx))
continue
if xeng_raw.has_changed():
ig_copy = copy.deepcopy(ig)
try:
self.data_queue.put_nowait(ig_copy)
except Queue.Full:
logger.info('Data Queue full, disposing of heap {}.'.format(idx))
try:
self.data_callback(ig_copy)
except Exception:
logger.exception(
'Unhandled exception while calling data_callback()')
xeng_raw.unset_changed()
# should we quit?
if self.quit_event.is_set():
logger.info('Got a signal from main(), exiting rx loop...')
break
finally:
try:
rx.stop()
logger.info("SPEAD receiver stopped")
except Exception:
logger.exception('Exception trying to stop self.rx')
self.quit_event.clear()
self.running_event.clear()
def receive():
while True:
t = spead.TransportUDPrx(PORT, pkt_count=1024, buffer_size=5120000)
ig = spead.ItemGroup()
print "Initializing new item group and waiting for data..."
s_time = 0
total_bytes = 0
for heap in spead.iterheaps(t):
if s_time == 0:
s_time = time.time()
h_time = time.time()
ig.update(heap)
h_time = time.time() - h_time
total_bytes += heap.heap_len
print '\nDecoded heap %i of length %i in %f (%f MBps) seconds.' % (
heap.heap_cnt, heap.heap_len, h_time, heap.heap_len /
(h_time * 1024 * 1024))
if heap.heap_len == 0:
continue
print 'Items\n====='
for name in ig.keys():
item = ig.get_item(name)
print 'Name:', name, ', Transport Type:', (item.dtype is not None and 'numpy' or 'std'), \
', Shape:', item.shape
if name == 'data_timestamp':
tt = time.time() - (ig[name][0] / 1000.0)
print 'Transport time for timestamp %i is %f (%f MBps)' % (
ig[name][0], tt, heap.heap_len / (tt * 1024 * 1024))
s_time = time.time() - s_time
print 'Received stop. Stream processed %i bytes in %f seconds (%f MBps).' % (
total_bytes, s_time, total_bytes / (s_time * 1024 * 1024))
t.stop()
if options.profile:
break
time.sleep(2)
def receive():
while True:
t = spead.TransportUDPrx(PORT, pkt_count=1024, buffer_size=5120000)
ig = spead.ItemGroup()
print "Initializing new item group and waiting for data..."
s_time = 0
total_bytes = 0
for heap in spead.iterheaps(t):
if s_time == 0:
s_time = time.time()
h_time = time.time()
ig.update(heap)
h_time = time.time() - h_time
total_bytes += heap.heap_len
print '\nDecoded heap %i of length %i in %f (%f MBps) seconds.' % (heap.heap_cnt, heap.heap_len, h_time,
heap.heap_len/(h_time*1024*1024))
if heap.heap_len == 0:
continue
print 'Items\n====='
for name in ig.keys():
item = ig.get_item(name)
print 'Name:', name, ', Transport Type:', (item.dtype is not None and 'numpy' or 'std'), \
', Shape:', item.shape
if name == 'data_timestamp':
tt = time.time() - (ig[name][0]/1000.0)
print 'Transport time for timestamp %i is %f (%f MBps)' % (ig[name][0], tt,
heap.heap_len/(tt*1024*1024))
s_time = time.time() - s_time
print 'Received stop. Stream processed %i bytes in %f seconds (%f MBps).' % (total_bytes, s_time,
total_bytes/(s_time*1024*1024))
t.stop()
if options.profile:
break
time.sleep(2)
def test_iterheaps(self):
rx_tport = S.TransportFile(self.filename, 'r')
heaps = [f for f in S.iterheaps(rx_tport)]
self.assertEqual(len(heaps), 2)
heap = heaps[0]
ig = S.ItemGroup()
ig.update(heap)
self.assertEqual(ig['var1'], 1)
self.assertEqual(ig['var2'], 2)
def receive():
print 'RX: Initializing...'
t = spead.TransportFile(sys.stdin)
ig = spead.ItemGroup()
for heap in spead.iterheaps(t):
ig.update(heap)
print 'Got heap:', ig.heap_cnt
for name in ig.keys():
print ' ', name
item = ig.get_item(name)
print ' Description: ', item.description
print ' Format: ', item.format
print ' Shape: ', item.shape
print ' Value: ', ig[name]
print 'RX: Done.'
def receive():
print 'RX: Initializing...'
t = spead.TransportFile(FILENAME, 'r')
ig = spead.ItemGroup()
for heap in spead.iterheaps(t):
ig.update(heap)
print 'Got heap:', ig.heap_cnt
for name in ig.keys():
print ' ', name
item = ig.get_item(name)
print ' Description: ', item.description
print ' Format: ', [item.format]
print ' Shape: ', item.shape
print ' Value: ', ig[name]
print 'RX: Done.'
def receive():
timesdone = 0
f = open('/tmp/woo', 'w')
f.close()
print 'RX: Initializing...'
t = spead.TransportUDPrx(PORT)
ig = spead.ItemGroup()
last_timestamp = 0
timestamp = 0
for heap in spead.iterheaps(t):
#print spead.readable_heap(heap)
ig.update(heap)
print 'Got heap cnt(%d):' % ig.heap_cnt
for name in ig.keys():
print ' ', name
item = ig.get_item(name)
print ' Description: ', item.description
print ' Format: ', item.format
print ' Shape: ', item.shape
# print ' Value: ', ig[name]
if ig[name] is not None:
if name == 'timestamp':
last_timestamp = timestamp
timestamp = ig[name]
elif name == 'xeng_raw':
global heapdata
heapdata = []
heapdata[:] = ig[name]
f = open('/tmp/woo', 'a')
f.write('timestamp(%d) timediff(%d)\n' % (timestamp, timestamp - last_timestamp))
for data in heapdata:
for bls_ctr, data_ in enumerate(data):
fstr = 'acc_ctr(%010d) baseline(%02d) freq(%04d) ' % (data_[1], data_[0] & 63,
(data_[0] >> 6) & 4095)
f.write('%s\n' % fstr)
# print data
# data = int(data)
# timestep = data & 0xffffffff
# bls = (data >> 32) & 63
# freq = (data >> 38) & 4095
# f.write('%5i\t%3i\t%10i\n' % (freq, bls, timestep))
f.close()
timesdone += 1
if timesdone == 2:
del ig
del t
return
print 'RX: Done.'
def receive():
print 'RX: Initializing...'
t = spead.TransportUDPrx(PORT)
ig = spead.ItemGroup()
for heap in spead.iterheaps(t):
#print spead.readable_heap(heap)
ig.update(heap)
print 'Got heap:', ig.heap_cnt
for name in ig.keys():
print ' ', name
item = ig.get_item(name)
print ' Description: ', item.description
print ' Format: ', item.format
print ' Shape: ', item.shape
print ' Value: ', ig[name]
print 'RX: Done.'
def receive():
print 'RX: initializing'
tport = spead.TransportUDPrx(PORT)
ig = spead.ItemGroup()
print 'RX: listening'
pv_t1, pv_tx_time = 0, 0
for heap in spead.iterheaps(tport):
t1 = time.time()
ig.update(heap)
t2 = time.time()
t_total = t2 - ig['tx_time']
t_update = t2 - t1
t_rx_heap = pv_t1 - ig['pv_time']
print 't_total:', t_total
print 't_update:', t_update
print 't_rx_heap (prev):', t_rx_heap
print 't_tx (prev):', ig['pv_time'] - pv_tx_time
print '-' * 60
pv_t1 = t1
pv_tx_time = ig['tx_time']
print 'RX: stop'
def rx_cont(self, data_port=7148, acc_scale=True, filename=None, items=None, **kwargs):
logger = self.logger
logger.info('Data reception on port %i.' % data_port)
rx = spead.TransportUDPrx(data_port, pkt_count=1024, buffer_size=51200000)
# group = '239.2.0.100'
# addrinfo = socket.getaddrinfo(group, None)[0]
# group_bin = socket.inet_pton(addrinfo[0], addrinfo[4][0])
# mreq = group_bin + struct.pack('=I', socket.INADDR_ANY)
#
# s.setsockopt(socket.IPPROTO_IP, socket.IP_ADD_MEMBERSHIP, mreq)
#
#
#
# print "Subscribing to %s." % group
h5_file = None
if filename is not None:
logger.info('Starting file %s.' % filename)
h5_file = h5py.File(filename, mode='w')
ig = spead.ItemGroup()
idx = 0
dump_size = 0
datasets = {}
datasets_index = {}
# we need these bits of meta data before being able to assemble and transmit signal display data
meta_required = ['n_chans', 'bandwidth', 'n_bls', 'n_xengs',
'center_freq', 'bls_ordering', 'n_accs']
meta = {}
for heap in spead.iterheaps(rx):
ig.update(heap)
logger.debug('PROCESSING HEAP idx(%i) cnt(%i) @ %.4f' % (idx, heap.heap_cnt, time.time()))
# output item values specified
if items is not None:
for name in ig.keys():
if name in items:
item = ig.get_item(name)
if item.has_changed():
#decode flags
if name == 'flags_xeng_raw':
#application level debug flags
corrupt_flag = np.uint32((ig[name] / np.uint64(2**33))) & np.uint32(1);
logger.info('(%s) corrupt => %s'%(time.ctime(), 'true' if corrupt_flag == 1 else 'false'))
over_range_flag = np.uint32((ig[name] / np.uint64(2**32))) & np.uint32(1);
logger.info('(%s) over range => %s'%(time.ctime(), 'true' if over_range_flag == 1 else 'false'))
noise_diode_flag = np.uint32((ig[name] / np.uint64(2**31))) & np.uint32(1);
logger.info('(%s) noise diode => %s'%(time.ctime(), 'true' if noise_diode_flag == 1 else 'false'))
#debug flags not exposed externally
#digitiser flags
noise_diode0_flag = np.uint32((ig[name] / np.uint64(2**1))) & np.uint32(1);
logger.info('(%s) polarisation 0 noise diode => %s'%(time.ctime(), 'true' if noise_diode0_flag == 1 else 'false'))
noise_diode1_flag = np.uint32((ig[name] / np.uint64(2**0))) & np.uint32(1);
logger.info('(%s) polarisation 1 noise diode => %s'%(time.ctime(), 'true' if noise_diode1_flag == 1 else 'false'))
adc_or0_flag = np.uint32((ig[name] / np.uint64(2**3))) & np.uint32(1);
logger.info('(%s) polarisation 0 adc over-range => %s'%(time.ctime(), 'true' if adc_or0_flag == 1 else 'false'))
adc_or1_flag = np.uint32((ig[name] / np.uint64(2**2))) & np.uint32(1);
logger.info('(%s) polarisation 1 adc over-range => %s'%(time.ctime(), 'true' if adc_or1_flag == 1 else 'false'))
#f-engine flags
f_spead_error_flag = np.uint32((ig[name] / np.uint64(2**8))) & np.uint32(1);
logger.info('(%s) f-engine spead reception error => %s'%(time.ctime(), 'true' if f_spead_error_flag == 1 else 'false'))
f_fifo_of_flag = np.uint32((ig[name] / np.uint64(2**9))) & np.uint32(1);
logger.info('(%s) f-engine reception FIFO overflow => %s'%(time.ctime(), 'true' if f_fifo_of_flag == 1 else 'false'))
f_pkt_of_flag = np.uint32((ig[name] / np.uint64(2**10))) & np.uint32(1);
logger.info('(%s) f-engine reception packet overflow => %s'%(time.ctime(), 'true' if f_pkt_of_flag == 1 else 'false'))
f_discarding_flag = np.uint32((ig[name] / np.uint64(2**11))) & np.uint32(1);
logger.info('(%s) f-engine packet discarded => %s'%(time.ctime(), 'true' if f_discarding_flag == 1 else 'false'))
f_timed_out_flag = np.uint32((ig[name] / np.uint64(2**12))) & np.uint32(1);
logger.info('(%s) f-engine timed out waiting for valid timestamp => %s'%(time.ctime(), 'true' if f_discarding_flag == 1 else 'false'))
f_rcv_error_flag = np.uint32((ig[name] / np.uint64(2**13))) & np.uint32(1);
logger.info('(%s) f-engine receive error => %s'%(time.ctime(), 'true' if f_rcv_error_flag == 1 else 'false'))
f_pfb_or1_flag = np.uint32((ig[name] / np.uint64(2**14))) & np.uint32(1);
logger.info('(%s) f-engine PFB 1 over-range => %s'%(time.ctime(), 'true' if f_pfb_or1_flag == 1 else 'false'))
f_pfb_or0_flag = np.uint32((ig[name] / np.uint64(2**15))) & np.uint32(1);
logger.info('(%s) f-engine PFB 0 over-range => %s'%(time.ctime(), 'true' if f_pfb_or0_flag == 1 else 'false'))
f_qdr1_flag = np.uint32((ig[name] / np.uint64(2**16))) & np.uint32(1);
logger.info('(%s) f-engine QDR SRAM 1 parity error => %s'%(time.ctime(), 'true' if f_qdr1_flag == 1 else 'false'))
f_qdr0_flag = np.uint32((ig[name] / np.uint64(2**17))) & np.uint32(1);
logger.info('(%s) f-engine QDR SRAM 0 parity error => %s'%(time.ctime(), 'true' if f_qdr0_flag == 1 else 'false'))
#x-engine flags
x_spead_error_flag = np.uint32((ig[name] / np.uint64(2**24))) & np.uint32(1);
logger.info('(%s) x-engine spead reception error => %s'%(time.ctime(), 'true' if x_spead_error_flag == 1 else 'false'))
#convert timestamp
elif name == 'timestamp':
sd_timestamp = ig['sync_time'] + (ig['timestamp'] / float(ig['scale_factor_timestamp']))
logger.info('(%s) timestamp => %s'%(time.ctime(), time.ctime(sd_timestamp)))
# generic output of item covnerted to string
else:
logger.info('(%s) %s => %s'%(time.ctime(), name, str(ig[name])))
if h5_file is not None:
for name in ig.keys():
logger.debug('\tkey name %s' % name)
item = ig.get_item(name)
if (not item.has_changed()) and (name in datasets.keys()):
# the item is not marked as changed, and we have a record for it, skip ahead
continue
if name in meta_required:
meta[name] = ig[name]
meta_required.pop(meta_required.index(name))
if len(meta_required) == 0:
logger.info('Got all required metadata. Expecting data frame shape of %i %i %i' %
(meta['n_chans'], meta['n_bls'], 2))
meta_required = ['n_chans', 'bandwidth', 'n_bls', 'n_xengs',
'center_freq', 'bls_ordering', 'n_accs']
# check to see if we have encountered this type before
if name not in datasets.keys():
datasets[name] = ig[name]
datasets_index[name] = 0
# check to see if we have stored this type before
if name not in h5_file.keys():
shape = ig[name].shape if item.shape == -1 else item.shape
dtype = np.dtype(type(ig[name])) if shape == [] else item.dtype
if dtype is None:
dtype = ig[name].dtype
# if we can't get a dtype from the descriptor try and get one from the value
if dtype != 'object':
logger.info('Creating dataset for %s (%s,%s).' % (str(name), str(shape), str(dtype)))
if h5_file is not None:
h5_file.create_dataset(name, [1] + ([] if list(shape) == [1] else list(shape)),
maxshape=[None] + ([] if list(shape) == [1] else list(shape)), dtype=dtype)
if not item.has_changed():
continue
# if we built from an empty descriptor
else:
logger.info('Adding %s to dataset. New size is %i.' % (name, datasets_index[name]+1))
if h5_file is not None:
h5_file[name].resize(datasets_index[name]+1, axis=0)
if name.startswith('xeng_raw'):
sd_timestamp = ig['sync_time'] + (ig['timestamp'] / float(ig['scale_factor_timestamp']))
logger.info("SD Timestamp: %f (%s)." % (sd_timestamp, time.ctime(sd_timestamp)))
scale_factor = float(meta['n_accs'] if ('n_accs' in meta.keys() and acc_scale) else 1)
scaled_data = (ig[name] / scale_factor).astype(np.float32)
logger.info("Sending signal display frame with timestamp %i (%s). %s. Max: %i, Mean: %i" % (
sd_timestamp,
time.ctime(sd_timestamp),
"Unscaled" if not acc_scale else "Scaled by %i" % scale_factor,
np.max(scaled_data),
np.mean(scaled_data)))
if h5_file is not None:
h5_file[name][datasets_index[name]] = ig[name]
datasets_index[name] += 1
# we have dealt with this item so continue...
item.unset_changed()
idx += 1
# /if h5_file is not None
if len(plot_baselines) > 0:
if 'xeng_raw' in ig.keys():
if ig['xeng_raw'] is not None:
# print np.shape(ig['xeng_raw'])
baseline_data = []
for baseline in range(0, 40):
# print 'baseline %i:' % baseline, ig['xeng_raw'][:, baseline]
FREQ_TO_PLOT = 0
print 'f_%i bls_%i:' % (FREQ_TO_PLOT, baseline), ig['xeng_raw'][FREQ_TO_PLOT, baseline]
# if baseline in [39, 9, 21, 33]:
if baseline in plot_baselines:
bdata = ig['xeng_raw'][:, baseline]
powerdata = []
for complex_tuple in bdata:
pwr = np.sqrt(complex_tuple[0]**2 + complex_tuple[1]**2)
powerdata.append(pwr)
baseline_data.append((baseline, powerdata[plot_startchan:plot_endchan]))
# break
if not got_data_event.is_set():
plotqueue.put(baseline_data)
got_data_event.set()
# /if plotbaseline is not None:
# if len(items) > 0
# should we quit?
if self.quit_event.is_set():
logger.info('Got a signal from main(), exiting rx loop...')
break
# for (name,idx) in datasets_index.iteritems():
# if idx == 1:
# self.logger.info("Repacking dataset %s as an attribute as it is singular."%name)
# h5_file['/'].attrs[name] = h5_file[name].value[0]
# h5_file.__delitem__(name)
if h5_file is not None:
logger.info("Got a SPEAD end-of-stream marker. Closing File.")
h5_file.flush()
h5_file.close()
rx.stop()
logger.info("Files and sockets closed.")
self.quit_event.clear()
def rx_cont(self,data_port=7148, sd_ip='127.0.0.1', sd_port=7149,acc_scale=True, filename=None,**kwargs):
logger=self.logger
logger.info("Data reception on port %i."%data_port)
rx = spead.TransportUDPrx(data_port, pkt_count=1024, buffer_size=51200000)
logger.info("Sending Signal Display data to %s:%i."%(sd_ip,sd_port))
tx_sd = spead.Transmitter(spead.TransportUDPtx(sd_ip, sd_port))
ig = spead.ItemGroup()
ig_sd = spead.ItemGroup()
if filename == None:
filename=str(int(time.time())) + ".synth.h5"
logger.info("Starting file %s."%(filename))
f = h5py.File(filename, mode="w")
data_ds = None
ts_ds = None
idx = 0
dump_size = 0
datasets = {}
datasets_index = {}
meta_required = ['n_chans','bandwidth','n_bls','n_xengs','center_freq','bls_ordering']
# we need these bits of meta data before being able to assemble and transmit signal display data
meta_desired = ['n_accs']
meta = {}
for heap in spead.iterheaps(rx):
ig.update(heap)
logger.debug("PROCESSING HEAP idx(%i) cnt(%i) @ %.4f" % (idx, heap.heap_cnt, time.time()))
for name in ig.keys():
item = ig.get_item(name)
if not item._changed and datasets.has_key(name): continue # the item is not marked as changed, and we have a record for it
if name in meta_desired:
meta[name] = ig[name]
if name in meta_required:
meta[name] = ig[name]
meta_required.pop(meta_required.index(name))
if len(meta_required) == 0:
#sd_frame = np.zeros((meta['n_chans'],meta['n_bls'],2),dtype=np.float32)
logger.info("Got all required metadata. Expecting data frame shape of %i %i %i"%(meta['n_chans'],meta['n_bls'],2))
meta_required = ['n_chans','bandwidth','n_bls','n_xengs','center_freq','bls_ordering']
ig_sd = spead.ItemGroup()
for meta_item in meta_required:
ig_sd.add_item(
name=ig.get_item(meta_item).name,
id=ig.get_item(meta_item).id,
description=ig.get_item(meta_item).description,
#shape=ig.get_item(meta_item).shape,
#fmt=ig.get_item(meta_item).format,
init_val=ig.get_item(meta_item).get_value())
tx_sd.send_heap(ig_sd.get_heap())
if not datasets.has_key(name):
# check to see if we have encountered this type before
shape = ig[name].shape if item.shape == -1 else item.shape
dtype = np.dtype(type(ig[name])) if shape == [] else item.dtype
if dtype is None: dtype = ig[name].dtype
# if we can't get a dtype from the descriptor try and get one from the value
logger.info("Creating dataset for %s (%s,%s)."%(str(name),str(shape),str(dtype)))
f.create_dataset(name,[1] + ([] if list(shape) == [1] else list(shape)), maxshape=[None] + ([] if list(shape) == [1] else list(shape)), dtype=dtype)
dump_size += np.multiply.reduce(shape) * dtype.itemsize
datasets[name] = f[name]
datasets_index[name] = 0
if not item._changed: continue
# if we built from and empty descriptor
else:
logger.info("Adding %s to dataset. New size is %i."%(name,datasets_index[name]+1))
f[name].resize(datasets_index[name]+1, axis=0)
if name.startswith("xeng_raw"):
sd_timestamp = ig['sync_time'] + (ig['timestamp'] / float(ig['scale_factor_timestamp']))
#logger.info("SD Timestamp: %f (%s)."%(sd_timestamp,time.ctime(sd_timestamp)))
scale_factor=float(meta['n_accs'] if (meta.has_key('n_accs') and acc_scale) else 1)
scaled_data = (ig[name]/scale_factor).astype(np.float32)
# reinit the group to force meta data resend
ig_sd = spead.ItemGroup()
ig_sd.add_item(name=('sd_data'),
id=(0x3501),
description="Combined raw data from all x engines.",
ndarray=(scaled_data.dtype,scaled_data.shape))
ig_sd.add_item(name=('sd_timestamp'),
id=0x3502,
description='Timestamp of this sd frame in centiseconds since epoch (40 bit limitation).',
init_val=sd_timestamp)
#shape=[],
#fmt=spead.mkfmt(('u',spead.ADDRSIZE)))
t_it = ig_sd.get_item('sd_data')
logger.debug("Added SD frame with shape %s, dtype %s"%(str(t_it.shape),str(t_it.dtype)))
tx_sd.send_heap(ig_sd.get_heap())
logger.info("Sending signal display frame with timestamp %i (%s). %s. Max: %i, Mean: %i"%(
sd_timestamp,
time.ctime(sd_timestamp),
"Unscaled" if not acc_scale else "Scaled by %i" % (scale_factor),
np.max(scaled_data),
np.mean(scaled_data)))
ig_sd['sd_data'] = scaled_data
ig_sd['sd_timestamp'] = sd_timestamp * 100
#ig_sd['sd_timestamp'] = sd_timestamp
tx_sd.send_heap(ig_sd.get_heap())
f[name][datasets_index[name]] = ig[name]
datasets_index[name] += 1
item._changed = False
# we have dealt with this item so continue...
idx+=1
# for (name,idx) in datasets_index.iteritems():
# if idx == 1:
# self.logger.info("Repacking dataset %s as an attribute as it is singular."%name)
# f['/'].attrs[name] = f[name].value[0]
# f.__delitem__(name)
logger.info("Got a SPEAD end-of-stream marker. Closing File.")
f.flush()
f.close()
rx.stop()
ig_sd = None
sd_timestamp = None
logger.info("Files and sockets closed.")
def rx_inter(self,data_port=7148, sd_ip='127.0.0.1', sd_port=7149, acc_scale=True, filename=None, **kwargs):
'''
Process SPEAD data from X engines and forward it to the SD.
'''
print 'WARNING: This function is not yet tested. YMMV.'
logger=self.logger
logger.info("Data reception on port %i."%data_port)
rx = spead.TransportUDPrx(data_port, pkt_count=1024, buffer_size=51200000)
logger.info("Sending Signal Display data to %s:%i."%(sd_ip,sd_port))
tx_sd = spead.Transmitter(spead.TransportUDPtx(sd_ip, sd_port))
ig = spead.ItemGroup()
ig_sd = spead.ItemGroup()
if filename == None:
filename=str(int(time.time())) + ".synth.h5"
logger.info("Starting file %s."%(filename))
f = h5py.File(filename, mode="w")
data_ds = None
ts_ds = None
idx = 0
dump_size = 0
datasets = {}
datasets_index = {}
# we need these bits of meta data before being able to assemble and transmit signal display data
meta_required = ['n_chans','n_bls','n_xengs','center_freq','bls_ordering','bandwidth']
meta_desired = ['n_accs']
meta = {}
sd_frame = None
sd_slots = None
timestamp = None
# log the latest timestamp for which we've stored data
currentTimestamp = -1
# iterate through SPEAD heaps returned by the SPEAD receiver.
for heap in spead.iterheaps(rx):
ig.update(heap)
logger.debug("PROCESSING HEAP idx(%i) cnt(%i) @ %.4f" % (idx, heap.heap_cnt, time.time()))
for name in ig.keys():
item = ig.get_item(name)
# the item is not marked as changed and we already have a record for it, continue
if not item._changed and datasets.has_key(name):
continue
logger.debug("PROCESSING KEY %s @ %.4f" % (name, time.time()))
if name in meta_desired:
meta[name] = ig[name]
if name in meta_required:
meta[name] = ig[name]
meta_required.pop(meta_required.index(name))
if len(meta_required) == 0:
sd_frame = np.zeros((meta['n_chans'],meta['n_bls'],2),dtype=np.float32)
logger.info("Got all required metadata. Initialised sd frame to shape %s"%(str(sd_frame.shape)))
meta_required = ['n_chans','bandwidth','n_bls','n_xengs','center_freq','bls_ordering']
ig_sd = spead.ItemGroup()
for meta_item in meta_required:
ig_sd.add_item(
name=ig.get_item(meta_item).name,
id=ig.get_item(meta_item).id,
description=ig.get_item(meta_item).description,
#shape=ig.get_item(meta_item).shape,
#fmt=ig.get_item(meta_item).format,
init_val=ig.get_item(meta_item).get_value())
tx_sd.send_heap(ig_sd.get_heap())
sd_slots = np.zeros(meta['n_xengs'])
if not datasets.has_key(name):
# check to see if we have encountered this type before
shape = ig[name].shape if item.shape == -1 else item.shape
dtype = np.dtype(type(ig[name])) if shape == [] else item.dtype
if dtype is None: dtype = ig[name].dtype
# if we can't get a dtype from the descriptor, try and get one from the value
logger.info("Creating dataset for %s (%s,%s)."%(str(name),str(shape),str(dtype)))
f.create_dataset(name,[1] + ([] if list(shape) == [1] else list(shape)), maxshape=[None] + ([] if list(shape) == [1] else list(shape)), dtype=dtype)
dump_size += np.multiply.reduce(shape) * dtype.itemsize
datasets[name] = f[name]
datasets_index[name] = 0
# if we built from an empty descriptor
if not item._changed:
continue
else:
logger.info("Adding %s to dataset. New size is %i."%(name,datasets_index[name]+1))
f[name].resize(datasets_index[name]+1, axis=0)
# now we store this x engine's data for sending sd data.
if sd_frame is not None and name.startswith("xeng_raw"):
xeng_id = int(name[8:])
sd_frame[xeng_id::meta['n_xengs']] = ig[name]
logger.debug('Received data for Xeng %i @ %.4f' % (xeng_id, time.time()))
# we got a timestamp.
if sd_frame is not None and name.startswith("timestamp"):
xeng_id = int(name[9:])
timestamp = ig['sync_time'] + (ig[name] / ig['scale_factor_timestamp']) #in seconds since unix epoch
localTime = time.time()
print "Decoded timestamp for Xeng", xeng_id, ":", timestamp, " (", time.ctime(timestamp),") @ %.4f" % localTime, " ", time.ctime(localTime), "diff(", localTime-timestamp, ")"
# is this timestamp in the past?
if currentTimestamp > timestamp:
errorString = "Timestamp %.2f (%s) is earlier than the current timestamp %.2f (%s). Ignoring..." % (timestamp, time.ctime(timestamp), currentTimestamp, time.ctime(currentTimestamp))
logger.warning(errorString)
continue
# is this a new timestamp before a complete set?
if (timestamp > currentTimestamp) and sd_slots.any():
errorString = "New timestamp %.2f from Xeng%i before previous set %.2f sent" % (timestamp, xeng_id, currentTimestamp)
logger.warning(errorString)
sd_slots = np.zeros(meta['n_xengs'])
sd_frame = np.zeros((ig['n_chans'],ig['n_bls'],2),dtype=sd_frame.dtype)
currentTimestamp = -1
continue
# is this new timestamp in the past for this X engine?
if timestamp <= sd_slots[xeng_id]:
errorString = 'Xeng%i already on timestamp %.2f but got %.2f now, THIS SHOULD NOT HAPPEN' % (xeng_id, sd_slots[xeng_id], timestamp)
logger.error(errorString)
raise RuntimeError(errorString)
# update our info on which integrations we have
sd_slots[xeng_id] = timestamp
currentTimestamp = timestamp
# do we have integration data and timestamps for all the xengines? If so, send the SD frame.
if timestamp is not None and sd_frame is not None and sd_slots is not None and sd_slots.all():
ig_sd = spead.ItemGroup()
# make sure we have the right dtype for the sd data
ig_sd.add_item(name=('sd_data'), id=(0x3501), description="Combined raw data from all x engines.", ndarray=(sd_frame.dtype,sd_frame.shape))
ig_sd.add_item(name=('sd_timestamp'), id=0x3502, description='Timestamp of this sd frame in centiseconds since epoch (40 bit limitation).', shape=[], fmt=spead.mkfmt(('u',spead.ADDRSIZE)))
t_it = ig_sd.get_item('sd_data')
logger.info("Added SD frame with shape %s, dtype %s" % (str(t_it.shape),str(t_it.dtype)))
scale_factor=(meta['n_accs'] if meta.has_key('n_accs') else 1)
logger.info("Sending signal display frame with timestamp %i (%s). %s. @ %.4f" % (timestamp, time.ctime(timestamp), "Unscaled" if not acc_scale else "Scaled by %i" % (scale_factor), time.time()))
ig_sd['sd_data'] = sd_frame.astype(np.float32) if not acc_scale else (sd_frame / float(scale_factor)).astype(np.float32)
ig_sd['sd_timestamp'] = int(timestamp * 100)
tx_sd.send_heap(ig_sd.get_heap())
# reset the arrays that hold integration data
sd_slots = np.zeros(meta['n_xengs'])
sd_frame = np.zeros((ig['n_chans'],ig['n_bls'],2),dtype=sd_frame.dtype)
timestamp = None
f[name][datasets_index[name]] = ig[name]
datasets_index[name] += 1
item._changed = False
idx+=1
logger.info("Got a SPEAD end-of-stream marker. Closing File.")
f.flush()
f.close()
rx.stop()
sd_frame = None
sd_slots = None
ig_sd = None
def test_heaplen(self):
data = open(self.filename).read()
rx_tport = S.TransportString(data)
for _ in S.iterheaps(rx_tport):
self.assertFalse(rx_tport.got_term_sig)
self.assertTrue(rx_tport.got_term_sig)
def rx_cont(self,data_port=7148, sd_ip='127.0.0.1', sd_port=7149,acc_scale=True, filename=None,**kwargs):
logger=self.logger
logger.info("Data reception on port %i."%data_port)
rx = spead.TransportUDPrx(data_port, pkt_count=1024, buffer_size=51200000)
logger.info("Sending Signal Display data to %s:%i."%(sd_ip,sd_port))
tx_sd = spead.Transmitter(spead.TransportUDPtx(sd_ip, sd_port))
ig = spead.ItemGroup()
ig_sd = spead.ItemGroup()
if filename == None:
filename=str(int(time.time())) + ".synth.h5"
logger.info("Starting file %s."%(filename))
f = h5py.File(filename, mode="w")
data_ds = None
ts_ds = None
idx = 0
dump_size = 0
datasets = {}
datasets_index = {}
meta_required = ['n_chans','bandwidth','n_bls','n_xengs','center_freq','bls_ordering']
# we need these bits of meta data before being able to assemble and transmit signal display data
meta_desired = ['n_accs']
meta = {}
for heap in spead.iterheaps(rx):
ig.update(heap)
logger.debug("PROCESSING HEAP idx(%i) cnt(%i) @ %.4f" % (idx, heap.heap_cnt, time.time()))
for name in ig.keys():
item = ig.get_item(name)
if not item._changed and datasets.has_key(name): continue # the item is not marked as changed, and we have a record for it
if name in meta_desired:
meta[name] = ig[name]
if name in meta_required:
meta[name] = ig[name]
meta_required.pop(meta_required.index(name))
if len(meta_required) == 0:
#sd_frame = np.zeros((meta['n_chans'],meta['n_bls'],2),dtype=np.float32)
logger.info("Got all required metadata. Expecting data frame shape of %i %i %i"%(meta['n_chans'],meta['n_bls'],2))
meta_required = ['n_chans','bandwidth','n_bls','n_xengs','center_freq','bls_ordering']
ig_sd = spead.ItemGroup()
for meta_item in meta_required:
ig_sd.add_item(
name=ig.get_item(meta_item).name,
id=ig.get_item(meta_item).id,
description=ig.get_item(meta_item).description,
#shape=ig.get_item(meta_item).shape,
#fmt=ig.get_item(meta_item).format,
init_val=ig.get_item(meta_item).get_value())
tx_sd.send_heap(ig_sd.get_heap())
if not datasets.has_key(name):
# check to see if we have encountered this type before
shape = ig[name].shape if item.shape == -1 else item.shape
dtype = np.dtype(type(ig[name])) if shape == [] else item.dtype
if dtype is None: dtype = ig[name].dtype
# if we can't get a dtype from the descriptor try and get one from the value
logger.info("Creating dataset for %s (%s,%s)."%(str(name),str(shape),str(dtype)))
f.create_dataset(name,[1] + ([] if list(shape) == [1] else list(shape)), maxshape=[None] + ([] if list(shape) == [1] else list(shape)), dtype=dtype)
dump_size += np.multiply.reduce(shape) * dtype.itemsize
datasets[name] = f[name]
datasets_index[name] = 0
if not item._changed: continue
# if we built from and empty descriptor
else:
logger.info("Adding %s to dataset. New size is %i."%(name,datasets_index[name]+1))
f[name].resize(datasets_index[name]+1, axis=0)
if name.startswith("xeng_raw"):
sd_timestamp = ig['sync_time'] + (ig['timestamp'] / float(ig['scale_factor_timestamp']))
#logger.info("SD Timestamp: %f (%s)."%(sd_timestamp,time.ctime(sd_timestamp)))
scale_factor=float(meta['n_accs'] if (meta.has_key('n_accs') and acc_scale) else 1)
scaled_data = (ig[name]/scale_factor).astype(np.float32)
# reinit the group to force meta data resend
ig_sd = spead.ItemGroup()
ig_sd.add_item(name=('sd_data'),
id=(0x3501),
description="Combined raw data from all x engines.",
ndarray=(scaled_data.dtype,scaled_data.shape))
ig_sd.add_item(name=('sd_timestamp'),
id=0x3502,
description='Timestamp of this sd frame in centiseconds since epoch (40 bit limitation).',
init_val=sd_timestamp)
#shape=[],
#fmt=spead.mkfmt(('u',spead.ADDRSIZE)))
t_it = ig_sd.get_item('sd_data')
logger.debug("Added SD frame with shape %s, dtype %s"%(str(t_it.shape),str(t_it.dtype)))
tx_sd.send_heap(ig_sd.get_heap())
logger.info("Sending signal display frame with timestamp %i (%s). %s. Max: %i, Mean: %i"%(
sd_timestamp,
time.ctime(sd_timestamp),
"Unscaled" if not acc_scale else "Scaled by %i" % (scale_factor),
np.max(scaled_data),
np.mean(scaled_data)))
ig_sd['sd_data'] = scaled_data
ig_sd['sd_timestamp'] = sd_timestamp * 100
#ig_sd['sd_timestamp'] = sd_timestamp
tx_sd.send_heap(ig_sd.get_heap())
f[name][datasets_index[name]] = ig[name]
datasets_index[name] += 1
item._changed = False
# we have dealt with this item so continue...
idx+=1
# for (name,idx) in datasets_index.iteritems():
# if idx == 1:
# self.logger.info("Repacking dataset %s as an attribute as it is singular."%name)
# f['/'].attrs[name] = f[name].value[0]
# f.__delitem__(name)
logger.info("Got a SPEAD end-of-stream marker. Closing File.")
f.flush()
f.close()
rx.stop()
ig_sd = None
sd_timestamp = None
logger.info("Files and sockets closed.")
def rx_inter(self,data_port=7148, sd_ip='127.0.0.1', sd_port=7149, acc_scale=True, filename=None, **kwargs):
'''
Process SPEAD data from X engines and forward it to the SD.
'''
print 'WARNING: This function is not yet tested. YMMV.'
logger=self.logger
logger.info("Data reception on port %i."%data_port)
rx = spead.TransportUDPrx(data_port, pkt_count=1024, buffer_size=51200000)
logger.info("Sending Signal Display data to %s:%i."%(sd_ip,sd_port))
tx_sd = spead.Transmitter(spead.TransportUDPtx(sd_ip, sd_port))
ig = spead.ItemGroup()
ig_sd = spead.ItemGroup()
if filename == None:
filename=str(int(time.time())) + ".synth.h5"
logger.info("Starting file %s."%(filename))
f = h5py.File(filename, mode="w")
data_ds = None
ts_ds = None
idx = 0
dump_size = 0
datasets = {}
datasets_index = {}
# we need these bits of meta data before being able to assemble and transmit signal display data
meta_required = ['n_chans','n_bls','n_xengs','center_freq','bls_ordering','bandwidth']
meta_desired = ['n_accs']
meta = {}
sd_frame = None
sd_slots = None
timestamp = None
# log the latest timestamp for which we've stored data
currentTimestamp = -1
# iterate through SPEAD heaps returned by the SPEAD receiver.
for heap in spead.iterheaps(rx):
ig.update(heap)
logger.debug("PROCESSING HEAP idx(%i) cnt(%i) @ %.4f" % (idx, heap.heap_cnt, time.time()))
for name in ig.keys():
item = ig.get_item(name)
# the item is not marked as changed and we already have a record for it, continue
if not item._changed and datasets.has_key(name):
continue
logger.debug("PROCESSING KEY %s @ %.4f" % (name, time.time()))
if name in meta_desired:
meta[name] = ig[name]
if name in meta_required:
meta[name] = ig[name]
meta_required.pop(meta_required.index(name))
if len(meta_required) == 0:
sd_frame = np.zeros((meta['n_chans'],meta['n_bls'],2),dtype=np.float32)
logger.info("Got all required metadata. Initialised sd frame to shape %s"%(str(sd_frame.shape)))
meta_required = ['n_chans','bandwidth','n_bls','n_xengs','center_freq','bls_ordering']
ig_sd = spead.ItemGroup()
for meta_item in meta_required:
ig_sd.add_item(
name=ig.get_item(meta_item).name,
id=ig.get_item(meta_item).id,
description=ig.get_item(meta_item).description,
#shape=ig.get_item(meta_item).shape,
#fmt=ig.get_item(meta_item).format,
init_val=ig.get_item(meta_item).get_value())
tx_sd.send_heap(ig_sd.get_heap())
sd_slots = np.zeros(meta['n_xengs'])
if not datasets.has_key(name):
# check to see if we have encountered this type before
shape = ig[name].shape if item.shape == -1 else item.shape
dtype = np.dtype(type(ig[name])) if shape == [] else item.dtype
if dtype is None: dtype = ig[name].dtype
# if we can't get a dtype from the descriptor, try and get one from the value
logger.info("Creating dataset for %s (%s,%s)."%(str(name),str(shape),str(dtype)))
f.create_dataset(name,[1] + ([] if list(shape) == [1] else list(shape)), maxshape=[None] + ([] if list(shape) == [1] else list(shape)), dtype=dtype)
dump_size += np.multiply.reduce(shape) * dtype.itemsize
datasets[name] = f[name]
datasets_index[name] = 0
# if we built from an empty descriptor
if not item._changed:
continue
else:
logger.info("Adding %s to dataset. New size is %i."%(name,datasets_index[name]+1))
f[name].resize(datasets_index[name]+1, axis=0)
# now we store this x engine's data for sending sd data.
if sd_frame is not None and name.startswith("xeng_raw"):
xeng_id = int(name[8:])
sd_frame[xeng_id::meta['n_xengs']] = ig[name]
logger.debug('Received data for Xeng %i @ %.4f' % (xeng_id, time.time()))
# we got a timestamp.
if sd_frame is not None and name.startswith("timestamp"):
xeng_id = int(name[9:])
timestamp = ig['sync_time'] + (ig[name] / ig['scale_factor_timestamp']) #in seconds since unix epoch
localTime = time.time()
print "Decoded timestamp for Xeng", xeng_id, ":", timestamp, " (", time.ctime(timestamp),") @ %.4f" % localTime, " ", time.ctime(localTime), "diff(", localTime-timestamp, ")"
# is this timestamp in the past?
if currentTimestamp > timestamp:
errorString = "Timestamp %.2f (%s) is earlier than the current timestamp %.2f (%s). Ignoring..." % (timestamp, time.ctime(timestamp), currentTimestamp, time.ctime(currentTimestamp))
logger.warning(errorString)
continue
# is this a new timestamp before a complete set?
if (timestamp > currentTimestamp) and sd_slots.any():
errorString = "New timestamp %.2f from Xeng%i before previous set %.2f sent" % (timestamp, xeng_id, currentTimestamp)
logger.warning(errorString)
sd_slots = np.zeros(meta['n_xengs'])
sd_frame = np.zeros((ig['n_chans'],ig['n_bls'],2),dtype=sd_frame.dtype)
currentTimestamp = -1
continue
# is this new timestamp in the past for this X engine?
if timestamp <= sd_slots[xeng_id]:
errorString = 'Xeng%i already on timestamp %.2f but got %.2f now, THIS SHOULD NOT HAPPEN' % (xeng_id, sd_slots[xeng_id], timestamp)
logger.error(errorString)
raise RuntimeError(errorString)
# update our info on which integrations we have
sd_slots[xeng_id] = timestamp
currentTimestamp = timestamp
# do we have integration data and timestamps for all the xengines? If so, send the SD frame.
if timestamp is not None and sd_frame is not None and sd_slots is not None and sd_slots.all():
ig_sd = spead.ItemGroup()
# make sure we have the right dtype for the sd data
ig_sd.add_item(name=('sd_data'), id=(0x3501), description="Combined raw data from all x engines.", ndarray=(sd_frame.dtype,sd_frame.shape))
ig_sd.add_item(name=('sd_timestamp'), id=0x3502, description='Timestamp of this sd frame in centiseconds since epoch (40 bit limitation).', shape=[], fmt=spead.mkfmt(('u',spead.ADDRSIZE)))
t_it = ig_sd.get_item('sd_data')
logger.info("Added SD frame with shape %s, dtype %s" % (str(t_it.shape),str(t_it.dtype)))
scale_factor=(meta['n_accs'] if meta.has_key('n_accs') else 1)
logger.info("Sending signal display frame with timestamp %i (%s). %s. @ %.4f" % (timestamp, time.ctime(timestamp), "Unscaled" if not acc_scale else "Scaled by %i" % (scale_factor), time.time()))
ig_sd['sd_data'] = sd_frame.astype(np.float32) if not acc_scale else (sd_frame / float(scale_factor)).astype(np.float32)
ig_sd['sd_timestamp'] = int(timestamp * 100)
tx_sd.send_heap(ig_sd.get_heap())
# reset the arrays that hold integration data
sd_slots = np.zeros(meta['n_xengs'])
sd_frame = np.zeros((ig['n_chans'],ig['n_bls'],2),dtype=sd_frame.dtype)
timestamp = None
f[name][datasets_index[name]] = ig[name]
datasets_index[name] += 1
item._changed = False
idx+=1
logger.info("Got a SPEAD end-of-stream marker. Closing File.")
f.flush()
f.close()
rx.stop()
sd_frame = None
sd_slots = None
ig_sd = None