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_get_packets_term(self): t_rx = S.TransportUDPrx(50000) self.t_tx.write(example_pkt) self.t_tx.write(example_pkt) self.assertTrue(t_rx.is_running()) self.t_tx.write(term_pkt) while t_rx.is_running(): print 'Waiting for TERM in test_get_packets_term' time.sleep(.01) self.assertFalse(t_rx.is_running()) self.assertEqual(len(t_rx.pkts), 3) pkts = [pkt for pkt in t_rx.iterpackets()] self.assertEqual(len(pkts), 3) self.assertFalse(t_rx.is_running())
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, 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
CMD_CACHE, CMD_PROCESS, CMD_FLUSH, CMD_CLEARCACHE, CMD_CLEARALL = range(5) o = optparse.OptionParser() o.add_option('-p', '--port', type='int', help='UDP port to listen to.') opts, args = o.parse_args(sys.argv[1:]) ig = spead.ItemGroup() dbuf = {} aa, cat, tx, ig_tx = None, None, None, None f64 = spead.mkfmt(('f', 64)) i40 = spead.mkfmt(('i', 40)) while True: tport = spead.TransportUDPrx(opts.port, pkt_count=1024) print 'waiting for a connection' for frame in spead.iterframes(tport): ig.update(frame) if ig['command'] == CMD_FLUSH: #print 'flushing' continue if ig['command'] == CMD_CLEARALL: print 'clearing all' dbuf, aa, cat, ig_tx = {}, None, None, None if ig['command'] == CMD_CLEARCACHE: print 'clearing cache' dbuf = {} elif ig['command'] == CMD_CACHE: print 'caching data' cal = ig['cal'].tostring()
# Process daemons def parsehostport(hostport): host, port = hostport.split(':') return (host, int(port)) daemon_ip_ports = [parsehostport(w) for w in opts.daemons.split(',')] NDAEMONS = len(daemon_ip_ports) _igs = [spead.ItemGroup() for i in range(NDAEMONS)] _txs = [ spead.Transmitter(spead.TransportUDPtx(*ip_port)) for ip_port in daemon_ip_ports ] _igrxs = [spead.ItemGroup() for i in range(NDAEMONS)] _iters = [ spead.iterframes(spead.TransportUDPrx(opts.baserx + i)) for i in range(NDAEMONS) ] def igs(key, value, num=None): if num is None: for ig in _igs: ig[key] = value else: _igs[num][key] = value def add_items(*args, **kwargs): num = kwargs.pop('num', None) if num is None: