def test_drspec_metadata(self):
"""Test finding out the DR spectrometer metadata."""
fh = open(drspecFile, 'rb')
cFrame = drspec.read_frame(fh)
fh.seek(0)
# Beam
self.assertEqual(cFrame.id, 1)
# Sample rate
self.assertAlmostEqual(cFrame.sample_rate, 19.6e6, 1)
self.assertAlmostEqual(cFrame.sample_rate, drspec.get_sample_rate(fh),
1)
# Filter code
self.assertEqual(cFrame.filter_code, 7)
self.assertEqual(cFrame.filter_code,
drspec.get_sample_rate(fh, filter_code=True))
# FFT windows per integration
self.assertEqual(cFrame.ffts_per_integration, 6144)
self.assertEqual(cFrame.ffts_per_integration,
drspec.get_ffts_per_integration(fh))
# Transform size
self.assertEqual(cFrame.transform_size, 1024)
self.assertEqual(cFrame.transform_size, drspec.get_transform_size(fh))
# Integration time
self.assertAlmostEqual(cFrame.integration_time, 0.32099265, 8)
self.assertAlmostEqual(cFrame.integration_time,
drspec.get_integration_time(fh), 8)
fh.close()
def test_drspec_sort(self):
"""Test sorting DR spectrometer frames by time tags."""
fh = open(drspecFile, 'rb')
# Frames 1 through 7
frames = []
for i in range(1, 8):
frames.append(drspec.read_frame(fh))
frames.sort()
frames = frames[::-1]
for i in range(1, len(frames)):
self.assertTrue(frames[i - 1] >= frames[i])
fh.close()
def test_drspec_read(self):
"""Test reading in a frame from a DR spectrometer file."""
fh = open(drspecFile, 'rb')
# First frame is really DR spectrometer and stores the IDs
frame1 = drspec.read_frame(fh)
beam = frame1.id
self.assertEqual(beam, 1)
# Second frame
frame2 = drspec.read_frame(fh)
beam = frame2.id
self.assertEqual(beam, 1)
fh.close()
# The special "data" attribute
data = frame2.payload.data
self.assertEqual(len(data.shape), 1)
self.assertEqual(data.shape[0], 1024)
for attr in ('XX0', 'XX1', 'YY0', 'YY1'):
d0 = getattr(frame2.payload, attr, None)
d1 = data[attr]
for i in range(1024):
self.assertAlmostEqual(d0[i], d1[i], 6)
def test_drspec_comps(self):
"""Test the DR spectrometer frame comparison operators (>, <, etc.) for time tags."""
fh = open(drspecFile, 'rb')
# Frames 1 through 7
frames = []
for i in range(1, 8):
frames.append(drspec.read_frame(fh))
fh.close()
self.assertTrue(0 < frames[0])
self.assertFalse(0 > frames[0])
self.assertTrue(frames[-1] >= frames[0])
self.assertFalse(frames[-1] <= frames[0])
self.assertTrue(frames[0] == frames[0])
self.assertFalse(frames[0] == frames[-1])
self.assertFalse(frames[0] != frames[0])
def test_drspec_errors(self):
"""Test reading in all frames from a truncated DR spectrometer file."""
fh = open(drspecFile, 'rb')
# Frames 1 through 8
for i in range(1, 8):
frame = drspec.read_frame(fh)
# Last frame should be an error (errors.EOFError)
self.assertRaises(errors.EOFError, drspec.read_frame, fh)
fh.close()
# If we offset in the file by 1 byte, we should be a
# sync error (errors.SyncError).
fh = open(drspecFile, 'rb')
fh.seek(1)
self.assertRaises(errors.SyncError, drspec.read_frame, fh)
fh.close()
def test_drspec_math(self):
"""Test mathematical operations on DR spectrometer frame data via frames."""
fh = open(drspecFile, 'rb')
# Frames 1 through 7
frames = []
for i in range(1, 8):
frames.append(drspec.read_frame(fh))
fh.close()
npts = frames[0].payload.XX0.size
# Multiplication
frameT = frames[0] * 2.0
for i in range(npts):
self.assertAlmostEqual(frameT.payload.XX0[i],
2 * frames[0].payload.XX0[i], 2)
frameT *= 2.0
for i in range(npts):
self.assertAlmostEqual(frameT.payload.XX1[i],
4 * frames[0].payload.XX1[i], 2)
frameT = frames[0] * frames[1]
for i in range(npts):
self.assertAlmostEqual(
frameT.payload.YY0[i],
frames[0].payload.YY0[i] * frames[1].payload.YY0[i], 2)
# Addition
frameA = frames[0] + 2.0
for i in range(npts):
self.assertAlmostEqual(frameA.payload.XX0[i],
2 + frames[0].payload.XX0[i], 2)
frameA += 2.0
for i in range(npts):
self.assertAlmostEqual(frameA.payload.XX1[i],
4 + frames[0].payload.XX1[i], 2)
frameA = frames[0] + frames[1]
for i in range(npts):
self.assertAlmostEqual(
frameA.payload.YY0[i],
frames[0].payload.YY0[i] + frames[1].payload.YY0[i], 2)
def test_drspec_math(self):
"""Test mathematical operations on DR spectrometer frame data via frames."""
fh = open(drspecFile, 'rb')
# Frames 1 through 7
frames = []
for i in range(1, 8):
frames.append(drspec.read_frame(fh))
fh.close()
npts = frames[0].payload.XX0.size
# Multiplication
frameT = frames[0] * 2.0
numpy.testing.assert_allclose(frameT.payload.XX0,
2 * frames[0].payload.XX0,
atol=1e-6)
frameT *= 2.0
numpy.testing.assert_allclose(frameT.payload.XX1,
4 * frames[0].payload.XX1,
atol=1e-6)
frameT = frames[0] * frames[1]
numpy.testing.assert_allclose(frameT.payload.YY0,
frames[0].payload.YY0 *
frames[1].payload.YY0,
atol=1e-6)
# Addition
frameA = frames[0] + 2.0
numpy.testing.assert_allclose(frameA.payload.XX0,
2 + frames[0].payload.XX0,
atol=1e-6)
frameA += 2.0
numpy.testing.assert_allclose(frameA.payload.XX0,
4 + frames[0].payload.XX0,
atol=1e-6)
frameA = frames[0] + frames[1]
numpy.testing.assert_allclose(frameA.payload.YY0,
frames[0].payload.YY0 +
frames[1].payload.YY0,
atol=1e-6)
def main(args):
# Set the site
site = None
if args.lwa1:
site = 'lwa1'
elif args.lwasv:
site = 'lwasv'
# Open the file and file good data (not raw DRX data)
fh = open(args.filename, 'rb')
try:
for i in xrange(5):
junkFrame = drx.read_frame(fh)
raise RuntimeError("ERROR: '%s' appears to be a raw DRX file, not a DR spectrometer file" % args.filename)
except errors.SyncError:
fh.seek(0)
# Interrogate the file to figure out what frames sizes to expect, now many
# frames there are, and what the transform length is
FRAME_SIZE = drspec.get_frame_size(fh)
nFrames = os.path.getsize(args.filename) // FRAME_SIZE
nChunks = nFrames
LFFT = drspec.get_transform_size(fh)
# Read in the first frame to figure out the DP information
junkFrame = drspec.read_frame(fh)
fh.seek(-FRAME_SIZE, 1)
srate = junkFrame.sample_rate
t0 = junkFrame.time
tInt = junkFrame.header.nints*LFFT/srate
# Offset in frames for beampols beam/tuning/pol. sets
offset = int(round(args.skip / tInt))
fh.seek(offset*FRAME_SIZE, 1)
# Iterate on the offsets until we reach the right point in the file. This
# is needed to deal with files that start with only one tuning and/or a
# different sample rate.
while True:
## Figure out where in the file we are and what the current tuning/sample
## rate is
junkFrame = drspec.read_frame(fh)
srate = junkFrame.sample_rate
t1 = junkFrame.time
tInt = junkFrame.header.nints*LFFT/srate
fh.seek(-FRAME_SIZE, 1)
## See how far off the current frame is from the target
tDiff = t1 - (t0 + args.skip)
## Half that to come up with a new seek parameter
tCorr = -tDiff / 2.0
cOffset = int(round(tCorr / tInt))
offset += cOffset
## If the offset is zero, we are done. Otherwise, apply the offset
## and check the location in the file again/
if cOffset is 0:
break
fh.seek(cOffset*FRAME_SIZE, 1)
# Update the offset actually used
args.skip = t1 - t0
nChunks = (os.path.getsize(args.filename) - fh.tell()) // FRAME_SIZE
# Update the file contents
beam = junkFrame.id
central_freq1, central_freq2 = junkFrame.central_freq
srate = junkFrame.sample_rate
data_products = junkFrame.data_products
t0 = junkFrame.time
tInt = junkFrame.header.nints*LFFT/srate
beginDate = junkFrame.time.datetime
# Report
print("Filename: %s" % args.filename)
if args.metadata is not None:
print("Metadata: %s" % args.metadata)
elif args.sdf is not None:
print("SDF: %s" % args.sdf)
print("Date of First Frame: %s" % beginDate)
print("Beam: %i" % beam)
print("Sample Rate: %i Hz" % srate)
print("Tuning Frequency: %.3f Hz (1); %.3f Hz (2)" % (central_freq1, central_freq2))
print("Data Products: %s" % ','.join(data_products))
print("Frames: %i (%.3f s)" % (nFrames, nFrames*tInt))
print("---")
print("Offset: %.3f s (%i frames)" % (args.skip, offset))
print("Transform Length: %i" % LFFT)
print("Integration: %.3f s" % tInt)
# Setup the output file
outname = os.path.split(args.filename)[1]
outname = os.path.splitext(outname)[0]
outname = '%s-waterfall.hdf5' % outname
if os.path.exists(outname):
if not args.force:
yn = raw_input("WARNING: '%s' exists, overwrite? [Y/n] " % outname)
else:
yn = 'y'
if yn not in ('n', 'N'):
os.unlink(outname)
else:
raise RuntimeError("Output file '%s' already exists" % outname)
f = hdfData.create_new_file(outname)
obsList = {}
if args.metadata is not None:
try:
project = metabundle.get_sdf(args.metadata)
except Exception as e:
if adpReady:
project = metabundleADP.get_sdf(args.metadata)
else:
raise e
sdfBeam = project.sessions[0].drx_beam
spcSetup = project.sessions[0].spcSetup
if sdfBeam != beam:
raise RuntimeError("Metadata is for beam #%i, but data is from beam #%i" % (sdfBeam, beam))
for i,obs in enumerate(project.sessions[0].observations):
sdfStart = mcs.mjdmpm_to_datetime(obs.mjd, obs.mpm)
sdfStop = mcs.mjdmpm_to_datetime(obs.mjd, obs.mpm + obs.dur)
obsChunks = int(numpy.ceil(obs.dur/1000.0 * drx.FILTER_CODES[obs.filter] / (spcSetup[0]*spcSetup[1])))
obsList[i+1] = (sdfStart, sdfStop, obsChunks)
hdfData.fill_from_metabundle(f, args.metadata)
elif args.sdf is not None:
try:
project = sdf.parse_sdf(args.sdf)
except Exception as e:
if adpReady:
project = sdfADP.parse_sdf(args.sdf)
else:
raise e
sdfBeam = project.sessions[0].drx_beam
spcSetup = project.sessions[0].spcSetup
if sdfBeam != beam:
raise RuntimeError("Metadata is for beam #%i, but data is from beam #%i" % (sdfBeam, beam))
for i,obs in enumerate(project.sessions[0].observations):
sdfStart = mcs.mjdmpm_to_datetime(obs.mjd, obs.mpm)
sdfStop = mcs.mjdmpm_to_datetime(obs.mjd, obs.mpm + obs.dur)
obsChunks = int(numpy.ceil(obs.dur/1000.0 * drx.FILTER_CODES[obs.filter] / (spcSetup[0]*spcSetup[1])))
obsList[i+1] = (sdfStart, sdfStop, obsChunks)
hdfData.fill_from_sdf(f, args.sdf, station=site)
else:
obsList[1] = (beginDate, datetime(2222,12,31,23,59,59), nChunks)
hdfData.fill_minimum(f, 1, beam, srate, station=site)
data_products = junkFrame.data_products
for o in sorted(obsList.keys()):
for t in (1,2):
hdfData.create_observation_set(f, o, t, numpy.arange(LFFT, dtype=numpy.float64), obsList[o][2], data_products)
f.attrs['FileGenerator'] = 'drspec2hdf.py'
f.attrs['InputData'] = os.path.basename(args.filename)
# Create the various HDF group holders
ds = {}
for o in sorted(obsList.keys()):
obs = hdfData.get_observation_set(f, o)
ds['obs%i' % o] = obs
ds['obs%i-time' % o] = hdfData.get_time(f, o)
for t in (1,2):
ds['obs%i-freq%i' % (o, t)] = hdfData.get_data_set(f, o, t, 'freq')
for p in data_products:
ds["obs%i-%s%i" % (o, p, t)] = hdfData.get_data_set(f, o, t, p)
ds['obs%i-Saturation%i' % (o, t)] = hdfData.get_data_set(f, o, t, 'Saturation')
# Loop over DR spectrometer frames to fill in the HDF5 file
pbar = progress.ProgressBar(max=nChunks)
o = 1
j = 0
firstPass = True
for i in xrange(nChunks):
frame = drspec.read_frame(fh)
cTime = frame.time.datetime
if cTime > obsList[o][1]:
# Increment to the next observation
o += 1
# If we have reached the end, exit...
try:
obsList[o]
firstPass = True
except KeyError:
sys.stdout.write('%s\r' % (' '*pbar.span))
sys.stdout.flush()
print("End of observing block according to SDF, exiting")
break
if cTime < obsList[o][0]:
# Skip over data that occurs before the start of the observation
continue
try:
if frame.time > oTime + 1.001*tInt:
print('Warning: Time tag error at frame %i; %.3f > %.3f + %.3f' % (i, frame.time, oTime, tInt))
except NameError:
pass
oTime = frame.time
if firstPass:
# Otherwise, continue on...
central_freq1, central_freq2 = frame.central_freq
srate = frame.sample_rate
tInt = frame.header.nints*LFFT/srate
freq = numpy.fft.fftshift( numpy.fft.fftfreq(LFFT, d=1.0/srate) )
freq = freq.astype(numpy.float64)
sys.stdout.write('%s\r' % (' '*pbar.span))
sys.stdout.flush()
print("Switching to Obs. #%i" % o)
print("-> Tunings: %.1f Hz, %.1f Hz" % (central_freq1, central_freq2))
print("-> Sample Rate: %.1f Hz" % srate)
print("-> Integration Time: %.3f s" % tInt)
sys.stdout.write(pbar.show()+'\r')
sys.stdout.flush()
j = 0
ds['obs%i-freq1' % o][:] = freq + central_freq1
ds['obs%i-freq2' % o][:] = freq + central_freq2
obs = ds['obs%i' % o]
obs.attrs['tInt'] = tInt
obs.attrs['tInt_Units'] = 's'
obs.attrs['LFFT'] = LFFT
obs.attrs['nChan'] = LFFT
obs.attrs['RBW'] = freq[1]-freq[0]
obs.attrs['RBW_Units'] = 'Hz'
firstPass = False
# Load the data from the spectrometer frame into the HDF5 group
ds['obs%i-time' % o][j] = (frame.time[0], frame.time[1])
ds['obs%i-Saturation1' % o][j,:] = frame.payload.saturations[0:2]
ds['obs%i-Saturation2' % o][j,:] = frame.payload.saturations[2:4]
for t in (1,2):
for p in data_products:
ds['obs%i-%s%i' % (o, p, t)][j,:] = getattr(frame.payload, "%s%i" % (p, t-1), None)
j += 1
# Update the progress bar
pbar.inc()
if i % 10 == 0:
sys.stdout.write(pbar.show()+'\r')
sys.stdout.flush()
sys.stdout.write(pbar.show()+'\n')
sys.stdout.flush()
# Done
fh.close()
# Save the output to a HDF5 file
f.close()
def main(args):
fh = open(args.filename, "rb")
try:
for i in xrange(5):
junkFrame = drx.read_frame(fh)
raise RuntimeError(
"ERROR: '%s' appears to be a raw DRX file, not a DR spectrometer file"
% args.filename)
except errors.SyncError:
fh.seek(0)
# Interrogate the file to figure out what frames sizes to expect, now many
# frames there are, and what the transform length is
FRAME_SIZE = drspec.get_frame_size(fh)
nFrames = os.path.getsize(args.filename) / FRAME_SIZE
nChunks = nFrames
LFFT = drspec.get_transform_size(fh)
# Read in the first frame to figure out the DP information
junkFrame = drspec.read_frame(fh)
fh.seek(-FRAME_SIZE, 1)
srate = junkFrame.sample_rate
t0 = junkFrame.time
tInt = junkFrame.header.nints * LFFT / srate
# Update the file contents
beam = junkFrame.id
central_freq1, central_freq2 = junkFrame.central_freq
srate = junkFrame.sample_rate
data_products = junkFrame.data_products
t0 = junkFrame.time
tInt = junkFrame.header.nints * LFFT / srate
beginDate = junkFrame.time.datetime
# Report
print("Filename: %s" % args.filename)
print("Date of First Frame: %s" % beginDate)
print("Beam: %i" % beam)
print("Sample Rate: %i Hz" % srate)
print("Tuning Frequency: %.3f Hz (1); %.3f Hz (2)" %
(central_freq1, central_freq2))
print("Data Products: %s" % ','.join(data_products))
print("Frames: %i (%.3f s)" % (nFrames, nFrames * tInt))
print("---")
print("Transform Length: %i" % LFFT)
print("Integration: %.3f s" % tInt)
# Convert chunk length to total frame count
chunkLength = int(args.length / tInt)
# Convert chunk skip to total frame count
chunkSkip = int(args.skip / tInt)
# Output arrays
clipFraction = []
meanPower = []
# Go!
i = 1
done = False
print(" |%sClipping%s |%sPower %s |" %
(" " * (8 * len(data_products) - 4), " " *
(8 * len(data_products) - 4), " " *
(6 * len(data_products) - 3), " " * (6 * len(data_products) - 3)))
out = " | 1X 1Y 2X 2Y |"
for t in (1, 2):
for dp in data_products:
out += "%6s" % ("%i%s" % (t, dp))
out += " |"
print(out)
print("-" * len(out))
while True:
count = {0: 0, 1: 0, 2: 0, 3: 0}
sats = numpy.empty((4, chunkLength), dtype=numpy.float32)
data = numpy.empty((2 * len(data_products), chunkLength * LFFT),
dtype=numpy.float32)
for j in xrange(chunkLength):
# Read in the next frame and anticipate any problems that could occur
try:
cFrame = frame = drspec.read_frame(fh)
except errors.EOFError:
done = True
break
except errors.SyncError:
continue
for t in (1, 2):
for p, dp in enumerate(data_products):
l = len(data_products) * (t - 1) + p
data[l, j * LFFT:(j + 1) * LFFT] = getattr(
cFrame.payload, '%s%i' % (dp, t - 1))
sats[:,
j] = numpy.array(cFrame.payload.saturations) / (tInt * srate)
if done:
break
else:
clipFraction.append(sats.mean(axis=1))
meanPower.append(data.mean(axis=1))
clip = clipFraction[-1]
power = meanPower[-1]
out = "%2i | %6.2f%% %6.2f%% %6.2f%% %6.2f%% |" % (
i, clip[0] * 100.0, clip[1] * 100.0, clip[2] * 100.0,
clip[3] * 100.0)
for t in (1, 2):
for p in xrange(len(data_products)):
out += " %5.2f" % (power[len(data_products) *
(t - 1) + p], )
out += " |"
print(out)
i += 1
fh.seek(FRAME_SIZE * chunkSkip, 1)
clipFraction = numpy.array(clipFraction)
meanPower = numpy.array(meanPower)
clip = clipFraction.mean(axis=0)
power = meanPower.mean(axis=0)
print("-" * len(out))
out = "%2s | %6.2f%% %6.2f%% %6.2f%% %6.2f%% |" % (
'M', clip[0] * 100.0, clip[1] * 100.0, clip[2] * 100.0,
clip[3] * 100.0)
for t in (1, 2):
for p in xrange(len(data_products)):
out += " %5.2f" % (power[len(data_products) * (t - 1) + p], )
out += " |"
print(out)
def main(args):
# Length of the FFT and the window to use
LFFT = args.fft_length
if args.bartlett:
window = numpy.bartlett
elif args.blackman:
window = numpy.blackman
elif args.hanning:
window = numpy.hanning
else:
window = fxc.null_window
args.window = window
# Open the file and find good data (not spectrometer data)
fh = open(args.filename, "rb")
try:
for i in xrange(5):
junkFrame = drspec.read_frame(fh)
raise RuntimeError(
"ERROR: '%s' appears to be a DR spectrometer file, not a raw DRX file"
% args.filename)
except errors.SyncError:
fh.seek(0)
# Good, we seem to have a real DRX file, switch over to the LDP interface
fh.close()
idf = LWA1DataFile(args.filename,
ignore_timetag_errors=args.ignore_time_errors)
# Metadata
nFramesFile = idf.get_info('nframe')
beam = idf.get_info('beam')
srate = idf.get_info('sample_rate')
beampols = idf.get_info('nbeampol')
beams = max([1, beampols // 4])
# Number of frames to integrate over
nFramesAvg = int(args.average * srate / 4096) * beampols
nFramesAvg = int(1.0 * (nFramesAvg // beampols) * 4096 /
float(LFFT)) * LFFT / 4096 * beampols
args.average = 1.0 * (nFramesAvg // beampols) * 4096 / srate
maxFrames = nFramesAvg
# Offset into the file, if needed
offset = idf.offset(args.skip)
# Number of remaining chunks (and the correction to the number of
# frames to read in).
if args.metadata is not None:
args.duration = 0
if args.duration == 0:
args.duration = 1.0 * nFramesFile / beampols * 4096 / srate
args.duration -= args.skip
else:
args.duration = int(
round(args.duration * srate * beampols / 4096) / beampols * 4096 /
srate)
nChunks = int(round(args.duration / args.average))
if nChunks == 0:
nChunks = 1
nFrames = nFramesAvg * nChunks
# Date & Central Frequency
t1 = idf.get_info('start_time')
beginDate = t1.datetime
central_freq1 = idf.get_info('freq1')
central_freq2 = idf.get_info('freq2')
# File summary
print("Filename: %s" % args.filename)
print("Date of First Frame: %s" % str(beginDate))
print("Beams: %i" % beams)
print("Tune/Pols: %i" % beampols)
print("Sample Rate: %i Hz" % srate)
print("Tuning Frequency: %.3f Hz (1); %.3f Hz (2)" %
(central_freq1, central_freq2))
print("Frames: %i (%.3f s)" %
(nFramesFile, 1.0 * nFramesFile / beampols * 4096 / srate))
print("---")
print("Offset: %.3f s (%i frames)" % (args.skip, offset))
print("Integration: %.3f s (%i frames; %i frames per beam/tune/pol)" %
(args.average, nFramesAvg, nFramesAvg / beampols))
print("Duration: %.3f s (%i frames; %i frames per beam/tune/pol)" %
(args.average * nChunks, nFrames, nFrames / beampols))
print("Chunks: %i" % nChunks)
print(" ")
# Estimate clip level (if needed)
if args.estimate_clip_level:
estimate = idf.estimate_levels(fh, sigma=5.0)
clip1 = (estimate[0] + estimate[1]) / 2.0
clip2 = (estimate[2] + estimate[3]) / 2.0
else:
clip1 = args.clip_level
clip2 = args.clip_level
# Make the pseudo-antennas for Stokes calculation
antennas = []
for i in xrange(4):
if i // 2 == 0:
newAnt = stations.Antenna(1)
else:
newAnt = stations.Antenna(2)
if i % 2 == 0:
newAnt.pol = 0
else:
newAnt.pol = 1
antennas.append(newAnt)
# Setup the output file
outname = os.path.split(args.filename)[1]
outname = os.path.splitext(outname)[0]
outname = '%s-waterfall.hdf5' % outname
if os.path.exists(outname):
if not args.force:
yn = raw_input("WARNING: '%s' exists, overwrite? [Y/n] " % outname)
else:
yn = 'y'
if yn not in ('n', 'N'):
os.unlink(outname)
else:
raise RuntimeError("Output file '%s' already exists" % outname)
f = hdfData.create_new_file(outname)
# Look at the metadata and come up with a list of observations. If
# there are no metadata, create a single "observation" that covers the
# whole file.
obsList = {}
if args.metadata is not None:
try:
project = metabundle.get_sdf(args.metadata)
except Exception as e:
project = metabundleADP.get_sdf(args.metadata)
sdfBeam = project.sessions[0].drx_beam
spcSetup = project.sessions[0].spcSetup
if sdfBeam != beam:
raise RuntimeError(
"Metadata is for beam #%i, but data is from beam #%i" %
(sdfBeam, beam))
for i, obs in enumerate(project.sessions[0].observations):
sdfStart = mcs.mjdmpm_to_datetime(obs.mjd, obs.mpm)
sdfStop = mcs.mjdmpm_to_datetime(obs.mjd, obs.mpm + obs.dur)
obsDur = obs.dur / 1000.0
obsSR = drx.FILTER_CODES[obs.filter]
obsList[i + 1] = (sdfStart, sdfStop, obsDur, obsSR)
print("Observations:")
for i in sorted(obsList.keys()):
obs = obsList[i]
print(" #%i: %s to %s (%.3f s) at %.3f MHz" %
(i, obs[0], obs[1], obs[2], obs[3] / 1e6))
print(" ")
hdfData.fill_from_metabundle(f, args.metadata)
elif args.sdf is not None:
try:
project = sdf.parse_sdf(args.sdf)
except Exception as e:
project = sdfADP.parse_sdf(args.sdf)
sdfBeam = project.sessions[0].drx_beam
spcSetup = project.sessions[0].spcSetup
if sdfBeam != beam:
raise RuntimeError(
"Metadata is for beam #%i, but data is from beam #%i" %
(sdfBeam, beam))
for i, obs in enumerate(project.sessions[0].observations):
sdfStart = mcs.mjdmpm_to_datetime(obs.mjd, obs.mpm)
sdfStop = mcs.mjdmpm_to_datetime(obs.mjd, obs.mpm + obs.dur)
obsDur = obs.dur / 1000.0
obsSR = drx.FILTER_CODES[obs.filter]
obsList[i + 1] = (sdfStart, sdfStop, obsDur, obsSR)
site = 'lwa1'
if args.lwasv:
site = 'lwasv'
hdfData.fill_from_sdf(f, args.sdf, station=site)
else:
obsList[1] = (datetime.utcfromtimestamp(t1),
datetime(2222, 12, 31, 23, 59, 59), args.duration, srate)
site = 'lwa1'
if args.lwasv:
site = 'lwasv'
hdfData.fill_minimum(f, 1, beam, srate, station=site)
if (not args.stokes):
data_products = ['XX', 'YY']
else:
data_products = ['I', 'Q', 'U', 'V']
for o in sorted(obsList.keys()):
for t in (1, 2):
hdfData.create_observation_set(
f, o, t, numpy.arange(LFFT, dtype=numpy.float64),
int(round(obsList[o][2] / args.average)), data_products)
f.attrs['FileGenerator'] = 'hdfWaterfall.py'
f.attrs['InputData'] = os.path.basename(args.filename)
# Create the various HDF group holders
ds = {}
for o in sorted(obsList.keys()):
obs = hdfData.get_observation_set(f, o)
ds['obs%i' % o] = obs
ds['obs%i-time' % o] = hdfData.get_time(f, o)
for t in (1, 2):
ds['obs%i-freq%i' % (o, t)] = hdfData.get_data_set(f, o, t, 'freq')
for p in data_products:
ds["obs%i-%s%i" % (o, p, t)] = hdfData.get_data_set(f, o, t, p)
ds['obs%i-Saturation%i' % (o, t)] = hdfData.get_data_set(
f, o, t, 'Saturation')
# Load in the correct analysis function
if (not args.stokes):
processDataBatch = processDataBatchLinear
else:
processDataBatch = processDataBatchStokes
# Go!
for o in sorted(obsList.keys()):
try:
processDataBatch(idf,
antennas,
obsList[o][0],
obsList[o][2],
obsList[o][3],
args,
ds,
obsID=o,
clip1=clip1,
clip2=clip2)
except RuntimeError as e:
print("Observation #%i: %s, abandoning this observation" %
(o, str(e)))
# Save the output to a HDF5 file
f.close()
# Close out the data file
idf.close()
def main(args):
skip = args.skip
fh = open(args.filename, "rb")
try:
for i in xrange(5):
junkFrame = drx.read_frame(fh)
raise RuntimeError(
"ERROR: '%s' appears to be a raw DRX file, not a DR spectrometer file"
% args.filename)
except errors.SyncError:
fh.seek(0)
# Interrogate the file to figure out what frames sizes to expect, now many
# frames there are, and what the transform length is
FRAME_SIZE = drspec.get_frame_size(fh)
nFrames = os.path.getsize(args.filename) / FRAME_SIZE
nChunks = nFrames
LFFT = drspec.get_transform_size(fh)
# Read in the first frame to figure out the DP information
junkFrame = drspec.read_frame(fh)
fh.seek(-FRAME_SIZE, 1)
srate = junkFrame.sample_rate
t0 = junkFrame.time
tInt = junkFrame.header.nints * LFFT / srate
# Offset in frames for beampols beam/tuning/pol. sets
offset = int(round(skip / tInt))
fh.seek(offset * FRAME_SIZE, 1)
# Iterate on the offsets until we reach the right point in the file. This
# is needed to deal with files that start with only one tuning and/or a
# different sample rate.
while True:
## Figure out where in the file we are and what the current tuning/sample
## rate is
junkFrame = drspec.read_frame(fh)
srate = junkFrame.sample_rate
t1 = junkFrame.time
tInt = junkFrame.header.nints * LFFT / srate
fh.seek(-FRAME_SIZE, 1)
## See how far off the current frame is from the target
tDiff = t1 - (t0 + skip)
## Half that to come up with a new seek parameter
tCorr = -tDiff / 2.0
cOffset = int(round(tCorr / tInt))
offset += cOffset
## If the offset is zero, we are done. Otherwise, apply the offset
## and check the location in the file again/
if cOffset is 0:
break
fh.seek(cOffset * FRAME_SIZE, 1)
# Update the offset actually used
skip = t1 - t0
nChunks = (os.path.getsize(args.filename) - fh.tell()) // FRAME_SIZE
# Update the file contents
beam = junkFrame.id
central_freq1, central_freq2 = junkFrame.central_freq
srate = junkFrame.sample_rate
data_products = junkFrame.data_products
t0 = junkFrame.time
tInt = junkFrame.header.nints * LFFT / srate
beginDate = junkFrame.time.datetime
# Report
print("Filename: %s" % args.filename)
print("Date of First Frame: %s" % beginDate)
print("Beam: %i" % beam)
print("Sample Rate: %i Hz" % srate)
print("Tuning Frequency: %.3f Hz (1); %.3f Hz (2)" %
(central_freq1, central_freq2))
print("Data Products: %s" % ','.join(data_products))
print("Frames: %i (%.3f s)" % (nFrames, nFrames * tInt))
print("---")
print("Transform Length: %i" % LFFT)
print("Integration: %.3f s" % tInt)
for i in xrange(nChunks):
frame = drspec.read_frame(fh)
cTime = frame.time
if i % 1000 == 0:
print("Frame %i: %s" % (i, datetime.utcfromtimestamp(cTime)))
try:
if cTime > oTime + 1.001 * tInt:
print(
'Warning: Time tag error at frame %i; %.3f > %.3f + %.3f' %
(i, cTime, oTime, tInt))
except NameError:
pass
oTime = frame.time
cFreq1, cFreq2 = frame.central_freq
try:
if cFreq1 != oFreq1:
print(
'Warning: Tuning 1 frequncy changed at frame %i; %.3f Hz != %.3f Hz'
% (i, cFreq1, oFreq1))
if cFreq2 != oFreq2:
print(
'Warning: Tuning 2 frequncy changed at frame %i; %.3f Hz != %.3f Hz'
% (i, cFreq2, oFreq2))
except NameError:
pass
oFreq1, oFreq2 = frame.central_freq
del frame
if i % 100 == 0:
gc.collect()
# Done
fh.close()
