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import time
import struct
import numpy
import datetime
import sys
import os
sys.path.append(os.path.join(os.path.dirname(__file__), "../../dsp"))
from banyan_ch_find import banyan_ch_find
# Grab the start time early, so things like
# python get_raw_adcs.py | tee `date "+%Y%m%d_%H%M%S"`.log
# will usually get a timestamp that matches
start_time = datetime.datetime.now()
def banyan_status(dev):
b_status, clk_status = dev.reg_read(['banyan_status', 'clk_status_out'])
# full and not (running or armed)
b_readable = b_status & 0x40000000 and not (b_status & 0x80400000)
astep = 1 << ((b_status >> 24) & 0x3F)
return b_readable, astep, clk_status
def get_raw_adcs_run(dev, filewritepath='raw_adcs_', ext_trig=False, freq=7/33.0,
mask="0xff", npt_wish=0, count=10, save_data=True, verbose=False):
_, npt, _ = banyan_status(dev)
if npt == 1:
raise ValueError("Aborting since hardware module not present")
mask_int = int(mask, 0)
# npt_wish only works correctly if mask is 0xff
if npt_wish and npt_wish < npt and mask_int == 0xff:
npt = npt_wish
print("npt = %d" % npt)
dev.reg_write([('banyan_mask', mask_int)])
chans = banyan_ch_find(mask_int)
print(chans, 8/len(chans))
nptx = int(npt*8/len(chans))
theta = numpy.array(range(nptx))*freq*2*numpy.pi
basis = numpy.vstack((numpy.cos(theta), numpy.sin(theta), theta*0+1)).T
chan_txt = "column assignment for banyan_mask 0x%2.2x: " % mask_int + " ".join(["%d" % x for x in chans])
header = ''
filename = ''
for run_n in range(count):
print(run_n)
(block, timestamp) = collect_adcs(dev, npt, len(chans), ext_trig=ext_trig)
nblock = numpy.array(block).transpose()
coeffzs = []
for jx in range(len(chans) if verbose else 0):
fit = numpy.linalg.lstsq(basis, nblock.T[jx], rcond=-1)
coeff = fit[0]
coeffz = coeff[0]+1j*coeff[1]
print_dbfs = numpy.log10(abs(coeffz)/32768.0)*20
tup = jx, abs(coeffz), print_dbfs, numpy.angle(coeffz)*180/numpy.pi
print("analysis %d %7.1f %7.2f dBFS %7.2f degrees" % tup)
coeffzs += [coeffz]
if verbose and len(chans) == 2:
diff1 = (numpy.angle(coeffzs[1]) - numpy.angle(coeffzs[0]))*180/numpy.pi
if diff1 > 180:
diff1 -= 360
if diff1 < -180:
diff1 += 360
print("difference %6.2f" % diff1)
if save_data is True:
# ISO 8601 2016-06-02T16:06:14Z
dt_now = datetime.datetime.now(datetime.timezone.utc)
datetimestr = dt_now.isoformat().replace('+00:00', 'Z') + " " + str(timestamp)
header = "\n".join([datetimestr, chan_txt])
data_dir = start_time.strftime(filewritepath + '%Y%m%d_%H%M%S')
if not os.path.exists(data_dir):
os.mkdir(data_dir)
filename = data_dir + '/raw_z_%2.2d' % (run_n)
numpy.savetxt(filename, nblock, fmt="%d", header=header)
return header, filename, block
# print 'try this'
# print process_adcs(dev, npt, mask_int, freq=freq) #,block,timestamp);
def pair_ram(buff, idx, count):
buff_slice = buff[idx:idx+count]
# break 32-bit elements into 16-bit raw ADC samples
ram1 = [(x >> 16) & 0xffff for x in buff_slice]
ram2 = [x & 0xffff for x in buff_slice]
return [ram2, ram1]
def pair_ram_prc(prc, addr, count):
foo = prc.reg_read_alist(range(addr, addr+count))
uuu = [struct.unpack('!hh', x[2]) for x in foo]
ram1 = [x[1] for x in uuu]
ram2 = [x[0] for x in uuu]
return [ram1, ram2]
def reshape_buffer(buf, astep, npt):
# TODO: This copy can be avoided if leep/raw.py spits out numpy arrays,
# which we should look into
data = numpy.array(buf)
# Read the upper and lower part of the banyan buffer
p1, p2 = (data & 0xffff).astype('int16'), ((data >> 16) & 0xffff).astype('int16')
out = numpy.empty((8, 2*astep))
# Interleave p1 and p2
out[::2, :] = p1.reshape(4, 2*astep)
out[1::2, :] = p2.reshape(4, 2*astep)
out = out[:, :npt]
return out
def gen_test_data(npt):
return numpy.hstack([numpy.ones(npt).astype(numpy.int32) * (i+1) for i in range(8)])
def collect(dev, npt, print_minmax=True, ext_trig=False, allow_clk_frozen=False, slow_chain=True):
dev.reg_write([('rawadc_trig_req', 1)]) if ext_trig else dev.reg_write([('rawadc_trig', 1)])
if slow_chain:
timestamp, minmax = slow_chain_readout(dev)
else:
timestamp, minmax = (0, 16*[0])
if print_minmax:
print(" ".join(["%d" % x for x in minmax]), "%.8f" % (timestamp*14/1320.0e6))
while True:
time.sleep(0.002)
b_readable, astep, clk_status = banyan_status(dev)
if b_readable:
break
# See logic for clk_status_r in digitizer_config.v, and associated comments.
# The allow_clk_frozen feature is needed because collect() is called by zest_setup.py
# as part of the data transfer verification process.
if not (clk_status == 2 or allow_clk_frozen and clk_status == 1):
raise SystemError('Loss of clock detected! Rerun "zest_setup.py -r" to recover. Disaster, aborting!')
# TODO: The I/O call here takes twice as long, as leep/raw.py is not aware of the banyan, dual
# read option. The old collect_prc takes advantage of that but not leep.
full_buffer, = dev.reg_read([('banyan_data')])
value = []
for ix in range(0, 8, 2):
value.extend(pair_ram(full_buffer, ix*astep, npt))
return value, timestamp
def collect_prc(prc, npt, print_minmax=True, ext_trig=False, allow_clk_frozen=False, slow_chain=True):
prc.reg_write([{'rawadc_trig_req': 1}]) if ext_trig else prc.reg_write([{'rawadc_trig': 1}])
if slow_chain:
timestamp, minmax = slow_chain_readout(dev)
else:
timestamp, minmax = (0, 16*[0])
if print_minmax:
print(" ".join(["%d" % x for x in minmax]), "%.8f" % (timestamp*14/1320.0e6))
while True:
time.sleep(0.002)
b_readable, astep, clk_status = banyan_status(dev)
if b_readable:
break
# See logic for clk_status_r in digitizer_config.v, and associated comments.
# The allow_clk_frozen feature is needed because collect() is called by zest_setup.py
# as part of the data transfer verification process.
if not (clk_status == 2 or allow_clk_frozen and clk_status == 1):
raise SystemError('Loss of clock detected! Rerun "zest_setup.py -r" to recover. Disaster, aborting!')
addr_wave0 = prc.get_read_address('banyan_data')
value = []
for ix in range(0, 8, 2):
value.extend(pair_ram_prc(prc, addr_wave0+ix*astep, npt))
return value, timestamp
def collect_adcs(dev, npt, nchans, print_minmax=True, ext_trig=False):
'''
nchans must be the result of len(banyan_ch_find())
'''
value, timestamp = collect(dev, npt, print_minmax, ext_trig=ext_trig)
# value holds 8 raw RAM blocks
# block will have these assembled into ADC channels
mult = 8//nchans
block = []
for ix in range(nchans):
aaa = [value[jx] for jx in range(int(ix*mult), int(ix*mult+mult))]
block.append(sum(aaa, []))
block2 = []
for bx in block:
bx2 = [x if x < 32768 else x-65536 for x in bx]
block2.append(bx2)
return block2, timestamp
def process_adcs(dev, npt, mask_int, freq=7/33.0): # ,block,timestamp):
chans = banyan_ch_find(mask_int)
nptx = int(npt*(8/len(chans)))
theta = numpy.array(range(nptx))*freq*2*numpy.pi
basis = numpy.vstack((numpy.cos(theta), numpy.sin(theta), theta*0+1)).T
(block, timestamp) = collect_adcs(dev, npt, len(chans), print_minmax=False)
nblock = numpy.array(block).transpose()
# print 'len(chans)',len(chans),type(block),len(block),len(block[0]),nblock.T.shape
result = []
phase0 = 0
for ichan in range(len(chans)):
fit = numpy.linalg.lstsq(basis, nblock.T[ichan], rcond=-1)
coeffz = fit[0][0]+1j*fit[0][1]
phase0 = numpy.angle(coeffz)*180/numpy.pi if ichan == 0 else phase0
# print phase0
result.extend([abs(coeffz), (numpy.angle(coeffz)*180/numpy.pi-phase0) % 360])
return result
def slow_chain_unpack(readlist):
nums = [int(readlist[ix])*256 + int(readlist[ix+1]) for ix in range(0, 32, 2)]
nums = [x if x < 32768 else x-65536 for x in nums]
timestamp = 0
for ix in range(8):
timestamp = timestamp*256 + int(readlist[41-ix])
timestamp = timestamp/32 # integer number of 1320/14 MHz adc_clk cycles
# ignore old_tag and new_tag for now
return (timestamp, nums) # nums is 16-long list of minmax values
def slow_chain_readout(dev):
readlist = dev.reg_read(42*[('slow_chain_out')])
return slow_chain_unpack(readlist)
def get_freq(fstring):
# will crash if the string isn't either a simple float (e.g., 0.2121)
# or a fraction (e.g., 7/33).
a = fstring.split('/')
if len(a) == 2:
freq = int(a[0]) / float(int(a[1]))
else:
freq = float(fstring)
# print("%s %f" % (fstring, freq))
return freq
def usage():
print("python get_raw_adcs_.py -a leep://192.168.21.12 -m 0xff -n 1 -c 8192")
if __name__ == "__main__":
from argparse import ArgumentParser
parser = ArgumentParser(description="Banyan Spurs: Legacy logic on waveform acquisition and logging")
parser.add_argument('-a', '--address', dest="dev_addr", default=None,
help='Device URL (leep://<IP> or ca://<PREFIX>)')
parser.add_argument('-D', '--dir', dest='filewritepath', default="raw_adcs_",
help='Log/data directory prefix (can include path)')
parser.add_argument('-f', '--freq', dest='freq', default="7/33", type=str,
help='IF/Fs ratio, where rational numbers like 7/33 are accepted')
parser.add_argument('-e', '--ext_trig', dest='ext_trig', action='store_true', default=False,
help='Use external trigger to capture data')
parser.add_argument('-m', '--mask', dest="mask", default="0xff",
help='Channel mask')
parser.add_argument('-n', '--npt', dest="npt_wish", default=0, type=int,
help='Number of points per acquisition')
parser.add_argument('-c', '--count', dest="count", default=10, type=int,
help='Number of acquisitions')
parser.add_argument('-v', '--verbose', dest='verbose', action='store_true', default=False,
help='Verbose mode')
parser.add_argument('-t', '--timeout', type=float, default=5.0,
help='LEEP network timeout')
args = parser.parse_args()
print("get_raw_adcs: collect and save Banyan waveforms")
freq = get_freq(args.freq)
import leep
print("Raw ADC acquisition")
print('Carrier board URL %s' % args.dev_addr)
dev = leep.open(args.dev_addr, instance=[], timeout=args.timeout)
print("Using external trigger...") if args.ext_trig else print("Using internal trigger...")
get_raw_adcs_run(dev, filewritepath=args.filewritepath, freq=freq, ext_trig=args.ext_trig,
mask=args.mask, npt_wish=args.npt_wish, count=args.count, verbose=args.verbose)
print("Done")