def target_sweep_dirfile(self, save_path = '/mnt/iqstream/dirfiles', write = True, span = 100.0e3, attenuation=None):
if attenuation == None:
attenuation = float(raw_input("Attenuation level [dB] ?"))
print " Previous attenuation setting was %.1f dB"%self.get_attenuation()
self.set_atten(attenuation)
print " Attenuation level is now %.1f dB"%attenuation
write = raw_input('Write tones? (y/n) ')
kid_freqs = np.load('/mnt/iqstream/last_kid_freqs.npy')
dirfile_dir = raw_input('dirfile dir ? ')
save_path = os.path.join(save_path, dirfile_dir+'_'+str(int(time.time())))
#kid_freqs = np.array(np.loadtxt('BLASTResonatorPositionsVer2.txt', delimiter=','))
center_freq = (np.max(kid_freqs) + np.min(kid_freqs))/2. #Determine LO position to put tones centered around LO
self.v1.set_frequency(0,center_freq / (1.0e6), 0.01) # LO
bb_freqs = kid_freqs - center_freq
bb_freqs = np.roll(bb_freqs, - np.argmin(np.abs(bb_freqs)) - 1)
np.save('/mnt/iqstream/last_bb_freqs.npy',bb_freqs)
rf_freqs = bb_freqs + center_freq
np.save('/mnt/iqstream/last_rf_freqs.npy',rf_freqs)
channels = np.arange(len(rf_freqs))
print channels
np.save('/mnt/iqstream/last_channels.npy',channels)
self.v1.set_frequency(0,center_freq / (1.0e6), 0.01) # LO
print '\nTarget baseband freqs (MHz) =', bb_freqs/1.0e6
print '\nTarget RF freqs (MHz) =', rf_freqs/1.0e6
if write == 'y':\
self.writeQDR(bb_freqs)
self.fpga.write_int('sync_accum_reset', 0)
self.fpga.write_int('sync_accum_reset', 1)
print save_path,gd.CREAT|gd.RDWR
dirf = gd.dirfile(save_path,gd.CREAT|gd.RDWR)
symlink_path = '/mnt/iqstream/active_dirfile.lnk'
try:
os.unlink(symlink_path)
except:
pass
os.symlink(save_path,symlink_path)
for chan in range(1024):
dirf.add(gd.entry(gd.RAW_ENTRY,'I%04d'%chan,0,(gd.INT32,1)))
dirf.add(gd.entry(gd.RAW_ENTRY,'Q%04d'%chan,0,(gd.INT32,1)))
dirf.add(gd.entry(gd.CONST_ENTRY,'attenuation',0,(gd.FLOAT32,)))
dirf.put_constant('attenuation',attenuation)
dirf.close()
f,i,q = self.sweep_lo_dirfile(Npackets_per = 10, channels = channels, center_freq = center_freq, span = span, bb_freqs=bb_freqs, save_path = save_path)
self.write_dirfile_format_file(save_path,f,i,q)
last_target_dir = save_path
np.save('/mnt/iqstream/last_target_dir.npy',np.array([last_target_dir]))
self.plot_kids_dirfile(save_path = last_target_dir, channels = channels)
#plt.figure()
#plt.plot()
return
def open_stored_dirfile(self, save_path = '/mnt/iqstream/lo_sweeps/'):
df=gd.dirfile(save_path,gd.RDONLY)
fields=df.field_list()
numchannels = int(sorted([f for f in fields if f.startswith('Q')])[-1][1:])+1
f=[]
i=[]
q=[]
for chan in range(numchannels):
f.append(df.get_carray('sweep_f_%04d'%chan,gd.FLOAT32))
i.append(df.get_carray('sweep_i_%04d'%chan,gd.FLOAT32))
q.append(df.get_carray('sweep_q_%04d'%chan,gd.FLOAT32))
f=np.array(f)
i=np.array(i)
q=np.array(q)
return f, i, q
def plot_sweep(sweepfile='latest', html=None):
""" No slash when inputting sweepfile name
HTML file - template to save in folder (as index.html)
"""
if sweepfile == 'latest':
list_of_sweeps = glob.glob(
'/data/dirfiles/roach0/20??????_??????_sweep')
mysweep = max(list_of_sweeps, key=os.path.getctime)
else:
mysweep = sweepfile
figdir = '/data/tuning/roach0/' + mysweep[-21:-6]
if not os.path.isdir(figdir):
os.mkdir(figdir)
if html is not None:
cmd = 'cp ' + html + ' ' + figdir + '/index.html'
os.system(cmd)
df = gd.dirfile(mysweep, gd.RDONLY | gd.UNENCODED)
lo = df.get_carray('sweep.lo_freqs')
off_freq = (lo - np.mean(lo)) / 1e3
for key in df.field_list():
if (key[-4] == 'K') or (key[-4] == 'B'):
sweep = df.get_carray('sweep.' + key[-4:])
s21 = 20 * np.log10(np.abs(sweep))
dSdf = np.gradient(np.real(sweep))**2 + \
np.gradient(np.imag(sweep))**2
plt.figure(1, figsize=(13, 5))
plt.subplot(1, 2, 1)
plt.plot(off_freq, s21)
plt.plot(np.array(
[off_freq[np.argmax(dSdf)], off_freq[np.argmax(dSdf)]]),
np.array([np.min(s21), np.max(s21)]),
'--r',
label='Max dSdf')
plt.plot(np.array([0, 0]),
np.array([np.min(s21), np.max(s21)]),
'-k',
label='Current Tone')
plt.grid()
plt.legend(loc='best')
plt.xlabel('Offset Frequency [kHz]')
plt.ylabel('$20*\log_{10}(|S_{21}|)$, arb. offset')
plt.title('$S_{21}$')
plt.subplot(1, 2, 2)
plt.plot(np.real(sweep) / 1e5, np.imag(sweep) / 1e5)
plt.axis('scaled')
plt.xlabel('I [arb]')
plt.ylabel('Q [arb]')
plt.grid()
plt.title('I/Q')
plt.suptitle(key[-4:] + ': ' + mysweep[-21:-6])
plt.savefig(figdir + '/' + key[-4:] + '.png')
plt.clf()
plt.close()
bindport = 1234
buffer_size = 8234 # int * length of roach packet
NTONES = 1010
filename = os.path.join('testing', 'run', '20180416_testdatawrite_dirfile')
dq = deque()
if __name__ == '__main__':
#if False:
# generate dirfile
dirf = create_format_file(filename, NTONES)
dirf = gd.dirfile(
filename,
gd.RDWR | gd.UNENCODED) # add GD_EXCL to stop accidental overwriting
# configure socket
#s = funcs_network.generate_socket()
#funcs_network.configure_socket_and_bind(s, bindaddress, bindport, buffer_size)
eventmonitor = threading.Event()
eventmonitor.set()
# create multi-threaded queue
filewritethread = threading.Thread(name='writer_thread',
target=append_to_dirfile,
args=(
dirf,
dq,
NTONES,
eventmonitor,
with open(sys.argv[1]) as handle:
pc = json.loads(handle.read())
TSTEP = pc['samp_rate']
TSTR = pc['time_start']
TEND = pc['time_end']
ivec = np.arange(TEND+1-TSTR)
tvec = ivec * TSTEP
t_span = [ivec[0], ivec[-1]]
ROOTDIR = "/data/mole/"
FILESET = pc['fileset']
TDATASET = pc['t_dataset']
HDATASET = pc['h_dataset']
df = gd.dirfile(os.path.join(ROOTDIR, FILESET))
Tdf = df.getdata(TDATASET)[TSTR:TEND+1]
Qdf = np.maximum(QMIN, np.minimum(QMAX, df.getdata(HDATASET)))[TSTR:TEND+1]
i_Qon = np.where(Qdf>0.5)[0][0]
t_Qon = i_Qon * TSTEP
###########################################################################
# From circuit parameters, simulate timestream
circ_params = np.array([pc['Ch'], pc['Rh'], pc['Ct'], pc['Rt']], dtype=float)
Tb = float(pc['Tb'])
sim_params = np.append(1./circ_params, Tb)
T0 = [0, 0] # ODE initial conditions ([T0, Tdot0])
soln = solve_ivp(lambda t, T: HeaterIVP(t, T, updateSimParams(t, t_Qon, sim_params), Q=np.interp(t, tvec, Qdf)),
t_span, T0, t_eval=tvec, max_step=TSTEP)
# center Vsig on 0 V. Accounts for amplifier offset
lowAve = np.average(Vsig[np.where(Vbias < -cutoff)])
hiAve = np.average(Vsig[np.where(Vbias > cutoff)])
offset = (lowAve + hiAve) / 2
Vsig -= offset
return offset
##############################################################################
BUFFER = 100000
PROCESSES = 3
prefix = '/home/nick/'
files = sorted(os.listdir(prefix + 'Bolometers/LJBolos/'))
data = gd.dirfile(prefix + 'Bolometers/run7_dir')
totalSamples = data.nframes * data.spf('UnixTime')
'''
prevFrame = 0
i = 0
while (i < len(files)):
f = files[i]
if (not re.match('B1_([0-9]{2}-?){3}(_[0-9]{2}){3}.txt', f)):
files.remove(f)
continue
# extract the load curve time and date from the file name
date = f[3:11]
Time = f[12:20].replace('_', ':')
t = time.strptime('%s, %s' %(date, Time), '%m-%d-%y, %X')
t = time.mktime(t)
def ctime_roach(self, roach_number, kind, mode='average', write=False):
'''
Function to generate ctime for a given roach.
roach_number: may be a str, int or float. List or numpy array is accepted too if time is
required for multiple roaches
kind: it is the method that is used to compute ctime for the roach. str for single entry
and list for multiple entries
Possible methods:
- Packet: A method that uses only packet count information
- Clock: A method that uses only clock information
mode: in case of multiple methods how the time information coming from the different
methods will be combined
Possible modes:
- average
- max
- min
write: choose to write the created ctime in the original dirfile
'''
kind_list = ['Packet', 'Clock']
mode_list = ['average', 'max', 'min']
try:
if isinstance(roach_number, str) or isinstance(roach_number, int) or \
isinstance(roach_number, float):
self.time_roach = {}
if isinstance(roach_number, str):
roach_number = roach_number.strip()
roach_number = int(roach_number)
elif isinstance(roach_number, list) or isinstance(roach_number, np.ndarray):
roach_number = np.array(roach_number).astype(int)
self.time_roach = {}
for i in range(len(roach_number)):
key = 'roach'+str(roach_number[i])
self.time_roach[key] = {}
else:
raise InputError
except InputError:
print('roach_number is not a str, int, float, list or numpy.array')
sys.exit(1)
try:
if isinstance(kind, str):
kind = kind.strip()
if kind in kind_list:
pass
else:
raise InputError
elif isinstance(kind, list):
kind = list(map(str.strip, kind))
for i in kind:
if i in kind_list:
pass
else:
raise InputError
else:
raise InputError
except InputError:
print('The method (kind) chosen to compute ctime_roach is not correct or is not a str or a list')
sys.exit(1)
try:
if isinstance(mode, str):
if mode in mode_list:
pass
else:
raise InputError
else:
raise InputError
except InputError:
print('The mode choosen for combininig the time methods calculation is not')
print('between average, max or min. Or the mode is not a string')
sys.exit(1)
for i in range(np.size(roach_number)):
if np.size(roach_number) == 1:
if isinstance(roach_number, np.ndarray):
roach_number_temp = roach_number[0]
key = 'roach'+str(roach_number[0])
else:
roach_number_temp = roach_number
key = 'roach'+str(roach_number)
else:
roach_number_temp = roach_number[i]
key = 'roach'+str(roach_number[i])
if write:
mode_dirfile = gd.RDWR
else:
mode_dirfile = gd.RDONLY
self.d = gd.dirfile(self.roach_path[roach_number_temp-1], mode_dirfile)
ctime_roach_name = 'ctime_roach'+str(int(roach_number_temp))
self.ctime_roach_temp = (self.d.getdata(ctime_roach_name)).astype(np.float64)
pps_roach_name = 'pps_count_roach'+str(int(roach_number_temp))
self.pps_roach = (self.d.getdata(pps_roach_name)).astype(np.float64)
for j in range(np.size(kind)):
if np.size(kind) == 1:
if isinstance(kind, list):
kind_temp = kind[j]
else:
kind_temp = kind
else:
kind_temp = kind[j]
if kind_temp.lower() == 'clock':
ctime_temp = self.clock_ctime_roach(roach_number_temp)
elif kind_temp.lower() == 'packet':
ctime_temp = self.packet_ctime_roach(roach_number_temp)
ctime_temp += 1570000000.
ctime_temp += self.ctime_roach_temp*1e-2
if j == 0:
ctime = ctime_temp
else:
ctime = np.vstack((ctime_temp, ctime))
del self.pps_roach
del self.ctime_roach_temp
if j != 0:
print('ROACH ', key, 'completed')
if mode == 'average':
self.time_roach[key] = np.average(ctime, axis=0)
elif mode == 'max':
self.time_roach[key] = np.amax(ctime, axis=0)
elif mode == 'min':
self.time_roach[key] = np.amin(ctime, axis=0)
else:
print('ROACH ', key, 'completed')
self.time_roach[key] = ctime
if write:
self.write_ctime(roach_number_temp)
self.d.close()
def dirfile_all_chan(self, time_interval):
nchannel = len(self.freq_comb)
channels = range(nchannel)
data_path = "./data"
sub_folder_1 = "meas"
sub_folder_2 = raw_input("Insert subfolder name (e.g. single_tone): ")
Npackets = np.int(time_interval * self.accum_freq)
self.fpga.write_int(
self.regs[np.where(self.regs == 'pps_start_reg')[0][0]][1], 1)
save_path = os.path.join(data_path, sub_folder_1, sub_folder_2)
if not os.path.exists(save_path):
os.makedirs(save_path)
filename = save_path + '/' + \
str(int(time.time())) + '-' + time.strftime('%b-%d-%Y-%H-%M-%S') + '.dir'
# make the dirfile
d = gd.dirfile(filename, gd.CREAT | gd.RDWR | gd.UNENCODED)
# add fields
phase_fields = []
for chan in range(nchannel):
phase_fields.append('chP_' + str(chan))
d.add_spec('chP_' + str(chan) + ' RAW FLOAT64 1')
d.add_spec('time RAW FLOAT64 1')
d.add_spec('packet_count RAW UINT32 1')
d.close()
d = gd.dirfile(filename, gd.RDWR | gd.UNENCODED)
#nfo_I = map(lambda x: save_path + "/chI_" + str(x), range(nchannel))
#nfo_Q = map(lambda y: save_path + "/chQ_" + str(y), range(nchannel))
nfo_phase = map(lambda z: filename + "/chP_" + str(z), range(nchannel))
#fo_I = map(lambda x: open(x, "ab"), nfo_I)
#fo_Q = map(lambda y: open(y, "ab"), nfo_Q)
fo_phase = map(lambda z: open(z, "ab"), nfo_phase)
fo_time = open(filename + "/time", "ab")
fo_count = open(filename + "/packet_count", "ab")
count = 0
while count < Npackets:
ts = time.time()
packet = self.s.recv(
8234) # total number of bytes including 42 byte header
data = np.fromstring(packet[42:], dtype='<i').astype('float')
packet_count = (np.fromstring(packet[-4:], dtype='>I'))
for chan in channels:
if (chan % 2) > 0:
I = data[1024 + ((chan - 1) / 2)]
Q = data[1536 + ((chan - 1) / 2)]
else:
I = data[0 + (chan / 2)]
Q = data[512 + (chan / 2)]
#fo_I[chan].write(struct.pack('i',I))
#fo_Q[chan].write(struct.pack('i',Q))
fo_phase[chan].write(struct.pack('d', np.arctan2([Q], [I])))
#fo_I[chan].flush()
#fo_Q[chan].flush()
fo_phase[chan].flush()
count += 1
fo_time.write(struct.pack('d', ts))
fo_count.write(struct.pack('L', packet_count))
fo_time.flush()
fo_count.flush()
for chan in channels:
#fo_I[chan].close()
#fo_Q[chan].close()
fo_phase[chan].close()
fo_time.close()
fo_count.close()
d.close()
return
print "linenum =", pdata["linenum"]
sys.exit(1);
if (re.search("dirfile/format$", pdata["filename"]) == None):
print "filename =", pdata["filename"]
sys.exit(1);
return pygetdata.SYNTAX_IGNORE;
# create the dirfile first
data=array.array("H",range(3,7000,7))
os.system("rm -rf dirfile")
os.mkdir("dirfile")
file=open("dirfile/data", 'w')
data.tofile(file)
file.close()
file=open("dirfile/format", "w")
file.write("data RAW UINT16 8\nbad line\n")
file.close()
d=pygetdata.dirfile("dirfile", pygetdata.RDONLY, callback=parser_callback,
extra="extra stuff");
error=d.error;
os.system("rm -rf dirfile")
if (error != pygetdata.E_OK):
print "error = ", error
sys.exit(1)
"mult MULTIPLY data sbit\n"
"div DIVIDE mult bit\n"
"recip RECIP div 6.5;4.3\n"
"phase PHASE data 11\n"
"window WINDOW linterp mult LT 4.1\n"
"/ALIAS alias data\n"
"string STRING \"Zaphod Beeblebrox\"\n")
file.close()
file = open("dirfile/form2", 'w')
file.write("const2 CONST INT8 -19\n")
file.close()
# 0: error check
try:
d = pygetdata.dirfile("x", pygetdata.RDONLY)
except:
CheckException(0, pygetdata.OpenError)
# 1: dirfile check
try:
d = pygetdata.dirfile("dirfile", pygetdata.RDWR)
except:
CheckOK(1)
# 2: getdata (int) check
try:
n = d.getdata("data", pygetdata.INT, first_frame=5, num_frames=1)
except:
CheckOK(2)
CheckSimple(2, len(n), 8)
#!/usr/bin/python
import time
import numpy as np
from datetime import datetime
import pygetdata as gd
import soco
DEVICE_ADDRESS = "192.168.0.135"
DATAFILE = "/data/etc/mole.lnk"
#sonos = soco.SoCo(DEVICE_ADDRESS)
sonos = soco.discovery.any_soco()
df = gd.dirfile(DATAFILE, gd.RDONLY)
# find the tracks
def get_current_track_title():
return sonos.get_current_track_info()['title']
class AutoSonos:
def __init__(self, trackname, fieldname, trueval=None):
self.trackname = trackname
self.fieldname = fieldname
self.trueval = trueval
self.timeout = 0
self.lastval = 0
self.framenum = 0
self.changed = False
self.timesteady = 0
def _process_command(self):
"""
Internal method to handle and process any event triggered by event.set(). Note that when running,
this is a copy of the main memory space and has direct access to the daemon process memory space,
Also, self in this method does not update self in the main process.
"""
def send_response_to_eventqueue(data_to_send):
if self._eventqueue.empty():
self._cmdevent.set()
_logger.debug("putting data to send on eventqueue, {0}".format(
data_to_send))
self._eventqueue.put(data_to_send)
else:
_logger.error(
"queue not empty - something bad has happened - nothing done"
)
try:
command_to_process = self._eventqueue.get(timeout=1.)
except mp.queues.Empty:
_logger.error("queue empty, nothing done")
return
# make sure that the command conforms to some simple requirements
assert type(command_to_process) == tuple \
and len(command_to_process) == 2 \
and type(command_to_process[0]) == str, " item on queue not in expected format {0} ".format(command_to_process)
command, args = command_to_process
_logger.debug("\nReceived command ({0}, {1})\n".format(command, args))
#print "\nReceived command ({0}, {1})\n".format( command, args )
# a set of if statements to handle all available options.
if command == "SET_DATAPACKET_DICT":
# reinitialise datapacket_dict
self._datapacket_dict = args if isinstance(args, dict) else None
self._datapipe_in.send((command, self._datapacket_dict))
elif command == "SET_FILE":
# don't proceed if the writer is currently saving data. Return the current dirfile name
if self.is_writing.value:
_logger.error(
"writer is currently saving data. Stop and try again.")
send_response_to_eventqueue(self.current_filename)
return
# close the current dirfile - this will probably be done in the main thread too
lib_dirfiles.close_dirfile(self.current_dirfile)
# extract new dirfile path from queue arguments
new_filename = args if isinstance(
args, str) else args[0] if isinstance(args, tuple) else None
# open dirfile (note that for some reason we can't pass an open dirfilehandle between proceses)
self.current_dirfile = _gd.dirfile(new_filename, _gd.RDWR)
try:
_logger.debug("current dirfile is {0}".format(
self.current_dirfile.name))
self.current_filename = self.current_dirfile.name
except:
_logger.error("Bad dirfile. Possibly the dirfile is closed?")
self.current_filename = None
return
# send new dirfile filename to main process
self._datapipe_in.send((command, self.current_filename))
send_response_to_eventqueue(self.current_filename)
elif command == "GET_FILE":
send_response_to_eventqueue(self.current_filename)
elif command == "START_WRITE":
# clear all packets currently in data queue
self._writer_queue.clear()
_logger.debug("starting writing")
print "Starting writing"
# sets the writing flag to True (see inner loop of _writer_thread_function)
self.is_writing.value = True
# set cmd event to indicate that the main thread can read the queue
#send_response_to_eventqueue( self.is_writing.value )
elif command == "STOP_WRITE":
self.is_writing.value = False
_logger.info("pausing writer")
send_response_to_eventqueue(self.is_writing.value)
elif command == "STATUS_WRITER":
send_response_to_eventqueue(self._filewritethread.is_alive())
elif command == "CHECK_PACKET":
# select on the socket to see if there packets are being received. Doesn't do anything with
# the packet, and so this could be triggered by stray packets if using SOCK_RAW
rd, wr, err = select.select([self._sockethandle], [], [], 1.)
send_response_to_eventqueue(bool(rd))
elif command == "CHECK_PACKET_DATA":
# select on the socket to see if there packets are being received. Doesn't do anything with
# the packet, and so this could be triggered by stray packets if using SOCK_RAW
rd, wr, err = select.select([self._sockethandle], [], [], 1.)
send_response_to_eventqueue(self._sockethandle.recv(9000))
elif command == "CLEAR_QUEUE":
print "Clearing queue with {0} packets".format(
len(self._writer_queue))
self._writer_queue.clear()
print "Queue cleared"
elif command == "SET_LOGLEVEL":
level = args if isinstance(args, int) else 0
logfile.set_log_level(level=level)
elif command == "TERMINATE":
print "Terminating datalogger. Goodbye."
else:
print "command not recognised - nothing done "
def __init__(self, path, idx_start, idx_end, field_list=[], mode='frames', ref_field=None, \
roach=False, roach_num=None):
'''
Class to handle dirfile: load, select a subsample or save data
Parameters:
- path: path of the dirfile
- idx_start: first frame or sample or starting time of the subset.
- idx_end: last frame or sample or final time of the subset. For the last sample of the
array, it is possible to use -1
- field_list: a list of strings with the field to be loaded. If full all the
fields in the dirfile are read
- mode: can be frames, samples or time. If frames, idx_start(_end) are read as
as first and last frame of interest. If samples, the parameters idx_start(_end)
refers to the a field given by the parameter ref_field. If time the parameters idx_start(_end)
refers to the starting and ending time of the slice of interest.
BE CAREFUL: reading data in time with this class does not synchronize pointing and detector
data. In order to do that, it is necessary to use the interpolation function in timing.py
- ref_field: reference field for the mode 'samples' to assign the idx_start(_end).
If None, the reference field is considered the ctime
- roach: If true, the dirfile to be read is the roach file and not the master. Default is FALSE
- roach_num: the number of the roach if a roach dirfile is used. Default is 3 (350um array)
'''
self.d = gd.dirfile(path)
if roach:
if roach_num is None:
roach_num = 3
time_field = 'ctime_built_roach' + str(int(roach_num))
else:
time_field = 'ctime_master_built'
if ref_field is None:
self.ref_field = time_field
else:
self.ref_field = ref_field
if mode == 'frames':
if idx_end == -1:
idx_end = self.d.nframes
first_frame = int(idx_start)
num_frames = int(idx_end) - int(idx_start)
self.time = self.d.getdata(time_field,
first_frame=first_frame,
num_frames=num_frames)
else:
self.time = self.d.getdata(time_field)
if mode == 'time':
idx_start = np.nanargmin(np.abs(self.time - idx_start))
idx_end = np.nanargmin(np.abs(self.time - idx_end))
else:
if idx_end == -1:
if field_list == 'full':
idx_end = self.d.array_len(time_field)
else:
idx_end = self.d.array_len(self.ref_field)
self.time = self.time[idx_start:idx_end]
if len(field_list) != 0:
self.resample_completed = False
self.data_values = {}
if field_list == 'full':
field_list = self.d.field_list()
len_fields = np.array([])
for i in field_list:
if mode == 'frames':
self.data_values[i] = self.d.getdata(
i, first_frame=first_frame, num_frames=num_frames)
else:
first_sample = int(idx_start * self.d.spf(i) /
self.d.spf(self.ref_field))
num_samples = int((idx_end - idx_start) * self.d.spf(i) /
self.d.spf(self.ref_field))
self.data_values[i] = self.d.getdata(
i, first_sample=first_sample, num_samples=num_samples)
len_fields = np.append(len_fields, len(self.data_values[i]))
if self.ref_field in field_list:
self.ref_field_array = self.data_values[self.ref_field]
else:
self.ref_field_array = self.d.getdata(self.ref_field, first_sample=int(idx_start), \
num_samples=int(idx_end-idx_start))
if np.all(np.diff(len_fields) == 0):
self.resample_required = False
else:
self.resample_required = True
def _writer_thread_function(self,
_logger): #, datapipe_out):#, data_queue):
"""
Function to run as the writer thread spawned in the daemon process. Runs self.parse_packet_and_append_to_dirfile()
continuously until both is_writing is set to False and _exitevent is set. Note that this means that to terminate
gracefully the writer should be stopped before the _exitevent is set. That said, if the daemon_process is terminated,
as setDaemon is True by default, this thread will die at the same time, possibly not gracefully.
Inner while loop is set by is_writing flag, and allows the writer to be paused by the user. From the main thread, use
self.pause_writing() and self.start_writing().
TODO:
Scope : thread spawned in daemon_process
"""
# ignore ctrl+c signals from main thread
signal.signal(signal.SIGINT, signal.SIG_IGN)
i = 0 # loop iteration index, used for debugging
# set niceness of this process
os.nice(15)
#assert isinstance(self._writer_queue, deque), "queue object doesn't appear to be correct"
# check that a dirfile exists before starting wirter loop
if not type(self.current_dirfile) == _gd.dirfile:
_logger.warning("no dirfile set")
#print datapipe_out.__repr__
datatowrite = []
# BUFFER SIZE REQUIRED BEFORE WRITING TO DISK (# TODO: be able to change on the fly?)
sizetowrite = roach_config[self.roachid]["buffer_len_to_write"]
while not self._exitevent.is_set():
# POLL PIPE TO CHECK FOR UPDATES TO DATAPACKET_DICT or CURRENT DIRFILE
if self._datapipe_out.poll():
pipedata = self._datapipe_out.recv()
if not isinstance(pipedata, tuple) and len(pipedata) == 2:
_logger.debug(
"data on pipe not of correct format. Found {0}".format(
pipedata))
pass
else:
command, data = pipedata
_logger.debug("command, data on pipe: {0},{1}".format(
command, data))
#
if command == "SET_DATAPACKET_DICT":
self._datapacket_dict = data
elif command == "SET_FILE":
self.current_dirfile = _gd.dirfile(str(data), _gd.RDWR)
else:
_logger.warning(
"command not recognised {0}. nothing done.".format(
command))
prevcnt = 0
# MAIN DATA WRITING LOOP #
last_iteration = False
while self.is_writing.value or last_iteration:
_logger.debug("in writing loop; {0},{1}".format(
len(self._writer_queue), sizetowrite))
# WRITE TO DISK WHEN BUFFER_LEN IS REACHED
if (len(self._writer_queue) >= sizetowrite) or last_iteration:
datatowrite = [
self._writer_queue.pop()
for i in range(len(self._writer_queue))
] # get all data currently in queue
_logger.debug("length of datatowrite {0}".format(
len(datatowrite)))
for packet in datatowrite:
newcnt = np.frombuffer(packet[0][-9:-5], ">u4")
if newcnt - prevcnt > 1:
_logger.warning(
"!! Dropped packets !! - {0} packets lost at packet number {1}"
.format(newcnt - prevcnt, prevcnt))
prevcnt = newcnt
retcode = self._parse_packet_and_append_to_dirfile(
datatowrite
) # parse the packet using the datapacket_dict and append ot the dirfile
datatowrite = []
last_iteration = False
else:
time.sleep(sizetowrite / 488. * 0.5) # <-- tidy this up?
# check is_writing is still true, otherwise check flag to save data on the last iteration
if self.is_writing.value == False:
last_iteration = True
if datatowrite:
_logger.warning("{0} packets didn't get saved!!".format(
len(datatowrite)
)) # just in case some data is left in the buffer
datatowrite = []
time.sleep(0.1)
def saveDirfile_chanRangeIQ(self, time_interval, stage_coords=False):
start_chan = input("Start chan # ? ")
end_chan = input("End chan # ? ")
chan_range = range(start_chan, end_chan + 1)
data_path = self.gc[np.where(self.gc == 'DIRFILE_SAVEPATH')[0][0]][1]
sub_folder = raw_input("Insert subfolder name (e.g. single_tone): ")
Npackets = int(np.ceil(time_interval * self.data_rate))
self.zeroPPS()
save_path = os.path.join(data_path, sub_folder)
if not os.path.exists(save_path):
os.makedirs(save_path)
filename = save_path + '/' + \
str(int(time.time())) + '-' + time.strftime('%b-%d-%Y-%H-%M-%S') + '.dir'
print filename
# make the dirfile
d = gd.dirfile(filename, gd.CREAT | gd.RDWR | gd.UNENCODED)
# add fields
I_fields = []
Q_fields = []
for chan in chan_range:
I_fields.append('I_' + str(chan))
Q_fields.append('Q_' + str(chan))
d.add_spec('I_' + str(chan) + ' RAW FLOAT64 1')
d.add_spec('Q_' + str(chan) + ' RAW FLOAT64 1')
d.close()
d = gd.dirfile(filename, gd.RDWR | gd.UNENCODED)
nfo_I = map(lambda z: filename + "/I_" + str(z), chan_range)
nfo_Q = map(lambda z: filename + "/Q_" + str(z), chan_range)
fo_I = map(lambda z: open(z, "ab"), nfo_I)
fo_Q = map(lambda z: open(z, "ab"), nfo_Q)
fo_time = open(filename + "/time", "ab")
fo_count = open(filename + "/packet_count", "ab")
count = 0
while count < Npackets:
ts = time.time()
try:
packet, data, header, saddr = self.parsePacketData()
if not packet:
continue
#### Add field for stage coords ####
except TypeError:
continue
packet_count = (np.fromstring(packet[-4:], dtype='>I'))
idx = 0
for chan in range(start_chan, end_chan + 1):
I, Q, __ = self.parseChanData(chan, data)
fo_I[idx].write(struct.pack('d', I))
fo_Q[idx].write(struct.pack('d', Q))
fo_I[idx].flush()
fo_Q[idx].flush()
idx += 1
fo_count.write(struct.pack('L', packet_count))
fo_count.flush()
fo_time.write(struct.pack('d', ts))
fo_time.flush()
count += 1
for idx in range(len(fo_I)):
fo_I[idx].close()
fo_Q[idx].close()
fo_time.close()
fo_count.close()
d.close()
return
if (match):
lst = (float(match.group("day"))*24*3600 \
+ float(match.group("hour"))*3600)
schedule.append( (lst, match.group("name")) )
print "\nSchedule parsed with", len(schedule), "command lines"
print
print "************************************************************"
print "* Starting main loop, waiting for new scans *"
print "************************************************************"
print
#main loop. read LST_SCHED and if it crosses a schedule threshold, play the song
try:
while True:
df = gd.dirfile(dirfilePath, gd.RDONLY)
lst = df.getdata("LST_SCHED", gd.FLOAT, \
first_frame=df.nframes-1, num_frames=1)[0]
df.close()
newsong = False
try:
while lst > schedule[1][0]:
schedule.pop(0)
print "Passed threshold", schedule[0][0], "<", lst, \
"for region", schedule[0][1]
newsong = True
if newsong:
#can't do direct songLookup access because names may have modifier chars
for region in songLookup.iterkeys():
if schedule[0][1].find(region) >= 0:
print "New song!", schedule[0][1], "matches", region
"/ALIAS alias data\n"
"string STRING \"Zaphod Beeblebrox\"\n"
"sarray SARRAY one two three four five six seven\n"
"data/msarray SARRAY eight nine ten eleven twelve\n"
"indir INDIR data carray\n"
"sindir SINDIR data sarray\n"
)
file.close()
file=open("dirfile/form2", 'w')
file.write("const2 CONST INT8 -19\n")
file.close()
# 1: error check
try:
d = pygetdata.dirfile("x", pygetdata.RDONLY)
except:
CheckException(1, pygetdata.IOError)
# 2: dirfile check
try:
d = pygetdata.dirfile("dirfile", pygetdata.RDWR)
except:
CheckOK(2)
# 3: getdata (int) check
try:
n = d.getdata("data", pygetdata.INT, first_frame=5, num_frames=1)
except:
CheckOK(3)
CheckSimple(3,len(n),8)
roach_comparison = {}
for i in range(len(kind)):
print('Kind', kind[i])
roach = t.ctime_roach(roach_number, kind[i])
roach_comparison[kind[i]] = t.time_roach
chunk = 10000
number = 10
for j in range(len(roach_number)):
d = gd.dirfile(t.roach_path[roach_number[j] - 1])
ctime_roach_name = 'ctime_roach' + str(int(roach_number[j]))
ctime_roach = (d.getdata(ctime_roach_name)).astype(np.float64)
pps_roach_name = 'pps_count_roach' + str(int(roach_number[j]))
pps_roach = (d.getdata(pps_roach_name)).astype(np.float64)
length_chunk = np.floor(len(pps_roach) / number)
roach_str = 'roach' + str(int(roach_number[j]))
path = '/home/gabriele/Documents/pyBLASTtools/plots/'
for k in range(number):
min_val = j * length_chunk
max_val = (j + 1) * length_chunk - 2 * chunk
def saveTimestreamDirfile(subfolder, start_chan, end_chan, time_interval):
"""Saves a dirfile containing the I and Q values for a range of channels, streamed
over a time interval specified by time_interval
inputs:
float time_interval: Time interval to integrate over, seconds"""
# Roach PPC object
fpga = getFPGA()
# UDP socket
s = socket(AF_PACKET, SOCK_RAW, htons(3))
# Roach interface
ri = roachInterface(fpga, gc, regs, None)
# UDP object
udp = roachDownlink(ri, fpga, gc, regs, s, ri.accum_freq)
udp.configSocket()
chan_range = range(start_chan, end_chan + 1)
data_path = gc[np.where(gc == 'DIRFILE_SAVEPATH')[0][0]][1]
Npackets = int(np.ceil(time_interval * ri.accum_freq))
udp.zeroPPS()
save_path = os.path.join(data_path, subfolder)
if not os.path.exists(save_path):
os.makedirs(save_path)
filename = save_path + '/' + \
str(int(time.time())) + '-' + time.strftime('%b-%d-%Y-%H-%M-%S') + '.dir'
print filename
np.save('last_data_path.npy', filename)
# make the dirfile
d = gd.dirfile(filename, gd.CREAT | gd.RDWR | gd.UNENCODED)
# add fields
I_fields = []
Q_fields = []
for chan in chan_range:
I_fields.append('I_' + str(chan))
Q_fields.append('Q_' + str(chan))
d.add_spec('I_' + str(chan) + ' RAW FLOAT64 1')
d.add_spec('Q_' + str(chan) + ' RAW FLOAT64 1')
d.close()
d = gd.dirfile(filename, gd.RDWR | gd.UNENCODED)
nfo_I = map(lambda z: filename + "/I_" + str(z), chan_range)
nfo_Q = map(lambda z: filename + "/Q_" + str(z), chan_range)
fo_I = map(lambda z: open(z, "ab"), nfo_I)
fo_Q = map(lambda z: open(z, "ab"), nfo_Q)
fo_time = open(filename + "/time", "ab")
fo_count = open(filename + "/packet_count", "ab")
count = 0
while count < Npackets:
ts = time.time()
try:
packet, data, header, saddr = udp.parsePacketData()
if not packet:
continue
except TypeError:
continue
packet_count = (np.fromstring(packet[-4:], dtype='>I'))
idx = 0
for chan in range(start_chan, end_chan + 1):
I, Q, __ = udp.parseChanData(chan, data)
fo_I[idx].write(struct.pack('d', I))
fo_Q[idx].write(struct.pack('d', Q))
fo_I[idx].flush()
fo_Q[idx].flush()
idx += 1
fo_count.write(struct.pack('L', packet_count))
fo_count.flush()
fo_time.write(struct.pack('d', ts))
fo_time.flush()
count += 1
for idx in range(len(fo_I)):
fo_I[idx].close()
fo_Q[idx].close()
fo_time.close()
fo_count.close()
d.close()
return
def read_existing_sweep_file(self, path_to_sweep):
# check if filename appears to be a valid dirfile
assert _lib_dirfiles.is_path_a_dirfile(path_to_sweep)
self.current_sweep_dirfile = _gd.dirfile(path_to_sweep, _gd.RDWR)
def intersync_roach(data, bins):
start = np.append(0, np.cumsum(bins[:-1]))
end = np.cumsum(bins)
ln = np.linspace(start, end - 1, 488)
idx = np.reshape(np.transpose(ln), np.size(ln))
idx_plus = np.append(idx[:-1] + 1, idx[-1])
return (data[idx_plus.astype(int)] - data[idx.astype(int)]) * (
idx - idx.astype(int)) + data[idx.astype(int)]
path = '/mnt/d/xystage/'
d = gd.dirfile(path)
starting_frame = 21600
ending_frame = 42070
buffer_frame = 100
num_frames = ending_frame - starting_frame
x = d.getdata('x_stage',
first_frame=starting_frame - buffer_frame,
num_frames=num_frames + 2 * buffer_frame)
y = d.getdata('y_stage',
first_frame=starting_frame - buffer_frame,
num_frames=num_frames + 2 * buffer_frame)
pps = d.getdata('pps_count_roach3',
first_frame=starting_frame - buffer_frame,
num_frames=num_frames + 2 * buffer_frame)
def sweep_lo(self, stop_event=None, **sweep_kwargs):
"""
Function to sweep the LO. Takes in a number of optional keyword arugments. If not given,
defaults from the configuration files are assumed.
Keyword Arguments
-----------------
sweep_span : float
Frequency span, in Hz, about which to sweep the LO around its currently set value.
sweep_step : float
Frequency step, in Hz, in which to sweep the LO around its currently set value. Note that some
synthesiers have a minimum step size. Every attempt has been made to try to make the user know
if the hardware is limiting the step, but care should still be taken.
sweep_avgs : int
Number of packets to average per LO frequency. This is used to calculate an approximate integration
time to collect sweep_avgs. There is a 5% time addition to ensure that at least this many packets are
collected.
startidx : int
user defined number of samples to skip after lo switch (to be read from config, or set at run time)
stopidx : int
same as startidx, but for the other end (None reads all samples up to lo_switch)
save_data : bool
Flag to turn off data writing. Mainly for testing purposes. Default is, of course, True.
filename_suffix : str
allows the user to append an additional string to the end of the filename
"""
# create the stop event for use when running all roaches at once through the muxChannelList
stop_event = _multiprocessing.Event() if not isinstance(
stop_event, _multiprocessing.synchronize.Event) else stop_event
# configure sweep parameters and start writing
sweep_params = self._configure_sweep_and_start_writing(**sweep_kwargs)
# # get time for avg factor + 10%
sleeptime = np.round(sweep_params["sweep_avgs"] / self.sample_rate *
1.1,
decimals=3)
_logger.debug("sleep time for sweep is {0}".format(sleeptime))
step_times = []
# acutally do the sweep - loop over LO frequencies, while saving time at lo_step
try:
sweepdirection = np.sign(np.diff(self.toneslist.sweep_lo_freqs))[
0] # +/- 1 for forward/backward - not used right now
_logger.info(
'Sweeping LO %3.1f kHz around %3.3f MHz in %1.1f kHz steps' %
(np.ptp(self.toneslist.sweep_lo_freqs / 1.e3),
np.mean(self.toneslist.sweep_lo_freqs / 1.e6),
np.median(np.diff(self.toneslist.sweep_lo_freqs)) / 1.e3))
for ix, lo_freq in enumerate(self.toneslist.sweep_lo_freqs):
if self.loswitch == True: # only switch if the muxchannel is configured to do so
self.synth_lo.frequency = lo_freq
else:
# wait until synth_lo.frequency => lo_freq
t0 = time.time()
while self.synth_lo.frequency <= lo_freq and time.time(
) <= t0 + sleeptime:
time.sleep(sleeptime / 100.)
pytime = self.writer_daemon.pytime.value
step_times.append(pytime)
#print "lo stepped at ", pytime
#_logger.info('LO stepped to ' + str(lo_freq/1.e6))
# check the stop event to break out of the loop
if stop_event.is_set():
break
#pbar.set_description(cm.BOLD + "LO: %i" % lo_freq + cm.ENDC)
time.sleep(sleeptime)
# should we wait for a number of samples per frequency? can sample self.current_dirfile.nframes
#pbar.close()
#print cm.OKGREEN + "Sweep done!" + cm.ENDC
except KeyboardInterrupt:
pass
# sweep has finished, pause the writing and continue to process the data
#time.sleep(2.5)
_logger.debug("pausing writing at ", self.writer_daemon.pytime.value)
self.writer_daemon.pause_writing()
# get only the indexes that were swept
lofreqs_that_were_swept = self.toneslist.sweep_lo_freqs[np.arange(ix +
1)]
#lofreqs_that_were_swept = self.toneslist.sweep_lo_freqs
# Back to the central frequency
if self.loswitch == True:
self.synth_lo.frequency = self.toneslist.lo_freq
# save lostep_times to current timestream dirfile (why are these not arrays?)
self.current_dirfile.add(
_gd.entry(_gd.RAW_ENTRY, "lo_freqs", 0, (_gd.FLOAT64, 1)))
self.current_dirfile.add(
_gd.entry(_gd.RAW_ENTRY, "lostep_times", 0, (_gd.FLOAT64, 1)))
self.current_dirfile.putdata(
"lo_freqs",
np.ascontiguousarray(lofreqs_that_were_swept, dtype=np.float64))
self.current_dirfile.putdata(
"lostep_times", np.ascontiguousarray(step_times, dtype=np.float64))
# on mac, we need to close and reopen the dirfile to flush the data before reading back in the data
# - not sure why, or if this is a problem on linux - it doesn't hurt too much though
self.current_dirfile.close()
self.current_dirfile = _gd.dirfile(self.writer_daemon.current_filename,
_gd.RDWR)
#delay appears to be required to finish write/open operations before continuing
time.sleep(0.5)
# analyse the raw sweep dirfile and write to disk
self.reduce_and_write_sweep_data(self.current_dirfile)
"div DIVIDE mult bit\n"
"recip RECIP div 6.5;4.3\n"
"phase PHASE data 11\n"
"window WINDOW linterp mult LT 4.1\n"
"/ALIAS alias data\n"
"string STRING \"Zaphod Beeblebrox\"\n"
)
file.close()
file=open("dirfile/form2", 'w')
file.write("const2 CONST INT8 -19\n")
file.close()
# 0: error check
try:
d = pygetdata.dirfile("x", pygetdata.RDONLY)
except:
CheckException(0, pygetdata.OpenError)
# 1: dirfile check
try:
d = pygetdata.dirfile("dirfile", pygetdata.RDWR)
except:
CheckOK(1)
# 2: getdata (int) check
try:
n = d.getdata("data", pygetdata.INT, first_frame=5, num_frames=1)
except:
CheckOK(2)
CheckSimple(2,len(n),8)
from astropy.modeling import rotations
from astropy import wcs
import pygetdata as gd
import numpy as np
import os
import matplotlib.pyplot as plt
#Load Data
path = '/mnt/c/Users/gabri/Documents/GitHub/mapmaking/2012_data/'
fname = gd.dirfile(path, gd.RDONLY)
ra = fname.getdata('ra', gd.UINT32, num_frames=fname.nframes)
dec = fname.getdata('dec', gd.INT32, num_frames=fname.nframes)
lst = fname.getdata('lst', gd.UINT32, num_frames=fname.nframes)
lat = fname.getdata('lat', gd.INT32, num_frames=fname.nframes)
ra = ra*5.587935447693e-09
dec = dec*8.381903171539e-08
lat = lat*8.381903171539e-08
lst = lst*2.77777777778e-04
frame1 = 1918381
frame2 = 1921000
offset = 0
raf = ra[frame1:frame2]
decf = (dec[frame1:frame2])
latf = (lat[frame1+offset:frame2+offset])
lstf = lst[frame1+offset:frame2+offset]
elif option == "xsc0":
xsc = 0
elif option == "xsc1":
xsc = 1
elif option == "fieldrotation":
fieldrotation = float(value)
elif option == "minflux":
minflux = float(value)
elif option == "minsize":
minsize = float(value)
else:
print("Unrecognized option " + option)
sys.exit()
# Load GPS data from dirfile
df = gd.dirfile(dirfilename, gd.RDONLY)
TIME = df.getdata("TIME",
first_frame=0,
first_sample=0,
num_frames=df.nframes-1,
num_samples=0,
return_type=gd.FLOAT64)
LAT = df.getdata("LAT",
first_frame=0,
first_sample=0,
num_frames=df.nframes-1,
num_samples=0,
return_type=gd.FLOAT64)
LON = df.getdata("LON",
first_frame=0,
first_sample=0,
def create_pcp_dirfile(roachid, dfname="", dftype = "stream", tonenames = [], *df_creation_flags, **kwargs):
"""
High level function to create a new dirfile according to the pcp standards. This creates a format file with a number of tones,
and other packet information.
Parameters
============
dfname: str
Path to a dirfile, or directory in which to create a new dirfile. If no dirfilename is given (or ""), or if dirfilename
is a valid path but not a valid dirfile, then a new dirfile will be created in this directory using the default filename
format given in general_config['default_datafilename_format'].
If dfname a valid dirfile path is given and exclusive = False, the dirfile will be opened and returned. If exclusive = True
(default) then an error is raised.
dftype: str
Currently, one of ["stream", "sweep"]. Anything else raises an error.
tones: list
A list of field names that will be used as the dirfile fields.
df_creation_flags:
Bit-wise or'd args that are passed to gd.dirfile().
Valid kwargs
============
filename_suffix: str (default: "")
string to add to the end of the file path, prepended by a leading underscore. This is added before checking whether
the resulting path exists.
exclusive: bool (default: True)
Switch to handle existing dirfiles. If True, an error is raised if the given path is an existing dirfile.
If False, this function opens and returns the dirfile object to continued writing/processing.
array_size: int (default: 101)
Used for sweep dirfiles only. Sets the array size for the sweep fields.
inc_derived_fields: bool (default: False)
Switch to include the derived fields relevant to the type of the dirfile requested.
Returns
============
dirfile: pygetdata.dirfile
Initialised and opened pygetdata dirfile object of requested type.
TODO:
- handle empty string with filename_suffix
"""
# preliminary checks
assert type(dfname) == str
assert dftype in ["stream", "sweep"]
# --- handle kwargs ---
filename_suffix = kwargs.pop("filename_suffix", "") # str to add to file path
filename_suffix = "_" + filename_suffix if filename_suffix else ""
dfname = dfname.rstrip("/") + filename_suffix
_logger.debug("dirfile path to write: {0}".format(dfname))
exclusive = kwargs.pop("exclusive", True) # str to add to file path (only applies to new filenames)
array_size = kwargs.pop("array_size", 101) # default size used for sweep file creation
inc_derived_fields = kwargs.pop("inc_derived_fields", True) # option to include derived fields to dirfile
if kwargs:
raise NameError("Unknown kwarg(s) given {0}".format(kwargs.keys()))
# ------
# parse user specified set of dirfile flags, else use defaults (note _gd.EXCL prevents accidental overwriting)
dfflagint = np.bitwise_or.reduce(df_creation_flags) if df_creation_flags \
else _gd.CREAT|_gd.RDWR|_gd.UNENCODED|_gd.EXCL
# check if the file path is a valid dirfile
if is_path_a_dirfile(dfname):
_logger.debug("{0} is a valid dirifle".format(dfname))
if exclusive:
raise IOError, "{0} exists and exclusive = True. Use exclusive = False to return this dirfile".format(dfname)
else:
_logger.info( "It looks like {0} is a valid dirfile. Opening and returning dirfile.".format(dfname) )
return _gd.dirfile(dfname, _gd.RDWR|_gd.UNENCODED)
# check if path exists - join new filename to existing path. Or if no path is given, create file in cwd
elif os.path.exists(dfname) or dfname == "":
dfname = os.path.join( dfname, time.strftime(general_config['default_datafilename_format']) + filename_suffix )
_logger.debug("path exists; assume this is a directory in which to create the new dirfile".format(dfname))
# assume that the path given is the intended path of the new dirfile
else:
pass # not required, but better to be explicit than implicit :)
# create the new dirfile
dirfile = _gd.dirfile(dfname, dfflagint)
_logger.info( "new dirfile created; {0}".format(dirfile.name) )
# add main fields according to the type required
if dftype == "stream":
dirfile = generate_main_rawfields(dirfile, roachid, tonenames, fragnum = 0)#, field_suffix = field_suffix)
if inc_derived_fields: # true by default
dirfile = generate_main_derivedfields(dirfile, tonenames)
elif dftype == "sweep":
dirfile = generate_sweep_fields(dirfile, tonenames, array_size = array_size)#, field_suffix = field_suffix)
return dirfile
def __init__(self, loading_method, path_master=None, path_roach=None, roach_num=1, idx_start=0, idx_end=-1, \
time_start=None, time_end=None, time_master=None, time_roach=None, offset=0.):
'''
Input parameters for interpolating the data:
loading_method: a string between:
- idx: Using two indices on the master file to select the data
- idx_roach: Using two indices of the roach file to select data
- time_val: Using two time values on the master file to select at the data
- time_array: using two time arrays, one from master and one from the roach as
reference
path_master: path of the master file
path_roach: path of the roach file
roach_num: which roach is going to be analyzed
idx_start: Starting index of the data that need to be analyzed. The index is from the
master file if the loading method is 'idx' and is from the roach file if the
loading method is 'idx_roach'
idx_end: Ending index of the data that need to be analyzed. The index is from the
master file if the loading method is 'idx' and is from the roach file if the
loading method is 'idx_roach'
time_start: Starting time of the data that need to be analyzed. The time is from the
master file. The array needs to be already sliced
time_end: Ending time of the data that need to be analyzed. The time is from the
master file. The array needs to be already sliced
time_master: Array with the time data from master file
time_roach: Array with the time data from one of the roach file
offset: time offset in seconds of the roach time array with respect to the master time.
This is defined as the time to be added (or subctrated if negative) to the master time.
This offset is not applied in case it is used the 'time_array' option for loading
the time arrays.
'''
loading_method_list = ['idx', 'idx_roach', 'time_val', 'time_array']
try:
if loading_method.strip().lower() in loading_method_list:
pass
else:
raise InputError
except InputError:
print('The loading method choosen is not correct. Choose between: idx, idx_roach, time_val, time_array')
sys.exit(1)
if loading_method.strip().lower() == 'time_array':
self.time_master = time_master
self.time_roach = time_roach
else:
self.d_master = gd.dirfile(path_master)
self.d_roach = gd.dirfile(path_roach)
self.roach_num = roach_num
roach_time_str = 'ctime_built_roach'+str(int(self.roach_num))
if loading_method.strip().lower() == 'idx_roach':
self.time_roach = self.d_roach.getdata(roach_time_str)
self.idx_start_roach = idx_start
self.idx_end_roach = idx_end
self.time_roach = self.time_roach[self.idx_start_roach:self.idx_end_roach]
self.time_master = self.d_master.getdata('ctime_master_built')
self.idx_start_master = np.nanargmin(np.abs(self.time_master-self.time_roach[0]+offset))
self.idx_end_master = np.nanargmin(np.abs(self.time_master-self.time_roach[-1]+offset))
self.time_master = self.time_master[self.idx_start_master:self.idx_end_master]
self.time_master += offset
else:
if loading_method.strip().lower() == 'idx':
self.time_master = self.d_master.getdata('ctime_master_built')
self.idx_start_master = idx_start
self.idx_end_master = idx_end
self.time_master = self.time_master[self.idx_start_master:self.idx_end_master]
elif loading_method.strip().lower() == 'time_val':
self.time_master = self.d_master.getdata('ctime_master_built')
self.idx_start_master = np.nanargmin(np.abs(self.time_master-time_start))
self.idx_end_master = np.nanargmin(np.abs(self.time_master-time_end))
self.time_master = self.time_master[self.idx_start_master:self.idx_end_master]
self.time_roach = self.d_roach.getdata(roach_time_str)
self.idx_start_roach = np.nanargmin(np.abs(self.time_roach-self.time_master[0]-offset))
self.idx_end_roach = np.nanargmin(np.abs(self.time_roach-self.time_master[-1]-offset))
self.time_roach = self.time_roach[self.idx_start_roach:self.idx_end_roach]
#return the array corrected by the offset
#this is the time array shifted to pointing
self.time_roach -= offset
self.d_master.flush('ctime_master_built')
self.d_roach.flush(roach_time_str)
def open_dirfile(dirfilename, **dirfile_flags):
if is_path_a_dirfile(dirfilename):
return _gd.dirfile(dirfilename, **dirfile_flags)
else:
_logger.warning("can't open dirfile {0}".format(dirfilename))
if (re.search("dirfile/format$", pdata["filename"]) == None):
print("filename =", pdata["filename"])
sys.exit(1)
return pygetdata.SYNTAX_IGNORE
# create the dirfile first
data = array.array("H", range(3, 7000, 7))
os.system("rm -rf dirfile")
os.mkdir("dirfile")
file = open("dirfile/data", 'wb')
data.tofile(file)
file.close()
file = open("dirfile/format", "w")
file.write("data RAW UINT16 8\nbad line\n")
file.close()
d = pygetdata.dirfile("dirfile",
pygetdata.RDONLY,
callback=parser_callback,
extra="extra stuff")
error = d.error
os.system("rm -rf dirfile")
if (error != pygetdata.E_OK):
print("error = ", error)
sys.exit(1)
B("_b2\n") + B("o3 LINCOM ") + xstring + B("_i1 ") + xstring + B("_m1 ") +
xstring + B("_b1 ") + xstring + B("_i2 ") + xstring + B("_m2 ") + xstring +
B("_b2 ") + xstring + B("_i3 ") + xstring + B("_m3 ") + xstring +
B("_b3\n") + B("b1 BIT ") + xstring + B("_i ") + xstring + B("_bn ") +
xstring + B("_nb\n") + B("e1 RECIP in ") + xstring + B("_dv\n") +
B("p1 PHASE ") + xstring + B("_i ") + xstring + B("_ps\n") +
B("m1 MPLEX a b ") + xstring + B("_cv ") + xstring + B("_pd\n") +
B("y1 POLYNOM ") + xstring + B("_i ") + xstring + B("_y1 2 ") + xstring +
B("_y3\n") + B("w1 WINDOW a b EQ ") + xstring + B("_t1\n") +
B("w2 WINDOW a b SET ") + xstring + B("_t2\n") + B("w3 WINDOW a b GT ") +
xstring + B("_t3\n") + B("d1 DIVIDE ") + xstring + B("_i1 ") + xstring +
B("_i2\n"))
f.close()
try:
D = pygetdata.dirfile("dirfile", pygetdata.RDONLY)
except pygetdata.DirfileError:
CheckOK(0)
# Attempt 2: no encoding
try:
D.validate(estring)
except pygetdata.DirfileError:
CheckEOS(2, D.error_string, estring)
c = D.carrays(return_type=pygetdata.NULL)
CheckSimple(3, len(c), 2)
CheckSimple(4, c[0][0], estring + B("_a1"))
CheckSimple(5, c[1][0], estring + B("_a2"))
def dirfileToUseful(file_name, data_type):
nom_path = '../roach_data'
q = gd.dirfile(nom_path, gd.RDONLY)
values = q.getdata(file_name, data_type)
return values
def read_stream(filename):
firstframe = 0
firstsample = 0
d = gd.dirfile(filename, gd.RDWR | gd.UNENCODED)
#print "Number of frames in dirfile =", d.nframes
nframes = d.nframes
vectors = d.field_list()
ifiles = [i for i in vectors if i[0] == "I"]
qfiles = [q for q in vectors if q[0] == "Q"]
ifiles.remove("INDEX")
ivals = d.getdata(ifiles[0],
gd.FLOAT32,
first_frame=firstframe,
first_sample=firstsample,
num_frames=nframes)
qvals = d.getdata(qfiles[0],
gd.FLOAT32,
first_frame=firstframe,
first_sample=firstsample,
num_frames=nframes)
ivals = ivals[~np.isnan(ivals)]
qvals = qvals[~np.isnan(qvals)]
i_stream = np.zeros((len(ivals), len(ifiles)))
q_stream = np.zeros((len(qvals), len(qfiles)))
for n in range(len(ifiles)):
ivals = d.getdata(ifiles[n],
gd.FLOAT32,
first_frame=firstframe,
first_sample=firstsample,
num_frames=nframes)
qvals = d.getdata(qfiles[n],
gd.FLOAT32,
first_frame=firstframe,
first_sample=firstsample,
num_frames=nframes)
i_stream[:, n] = ivals[~np.isnan(ivals)]
q_stream[:, n] = qvals[~np.isnan(qvals)]
d.close()
#read in the time file
with open(filename + "/time", 'rb') as content_file:
content = content_file.read()
time_val = []
for i in range(0, len(content) / 8):
time_val.append(struct.unpack('d', content[0 + 8 * i:8 + 8 * i])[0])
#read in the time file
with open(filename + "/packet_count", 'rb') as content_file:
content = content_file.read()
packet_val = []
for i in range(0, len(content) / 8):
packet_val.append(struct.unpack('L', content[0 + 8 * i:8 + 8 * i])[0])
packet = np.asarray(packet_val)
if ((packet - np.roll(packet, 1))[1:] != 1).any(): #you dropped packet
print(
"!!!!WARNING!!!!! you dropped some packets during your measurement consider increasing your system buffer size"
)
plt.figure(1)
plt.title("Delta t between packets")
plt.plot((time_val - np.roll(time_val, 1))[1:])
plt.figure(2)
plt.title("Delta packet")
plt.plot((packet - np.roll(packet, 1))[1:])
plt.show()
dictionary = {
'I_stream': i_stream,
'Q_stream': q_stream,
'time': time_val,
'packet_count': packet_val
}
return dictionary
def sync_data(self, telemetry=True):
'''
Wrapper for the previous functions to return the slices of the detector and coordinates TODs,
and the associated time
'''
if self.experiment.lower() == 'blast-tng':
d = gd.dirfile(self.roach_pps_path)
first_frame = self.startframe - self.bufferframe
num_frames = self.endframe - self.startframe + 2 * self.bufferframe
interval = self.endframe - self.startframe
ctime_mcp = d.getdata('time',
first_frame=first_frame,
num_frames=num_frames)
ctime_usec = d.getdata('time_usec',
first_frame=first_frame,
num_frames=num_frames)
if self.xystage is True:
#frequency_ctime = 100
sample_ctime = 100
else:
#frequency_ctime = self.coord_fs
sample_ctime = self.coord_sample_frame
ctime_start = ctime_mcp + ctime_usec / 1e6 + 0.2
ctime_mcp = ctime_mcp[self.bufferframe *
sample_ctime:self.bufferframe *
sample_ctime + interval * sample_ctime]
if self.offset is not None:
ctime_mcp += self.offset / 1000.
ctime_start = ctime_mcp[0]
ctime_end = ctime_mcp[-1]
coord1 = self.coord1_data[self.bufferframe*self.coord_sample_frame:self.bufferframe*self.coord_sample_frame+\
interval*self.coord_sample_frame]
coord2 = self.coord2_data[self.bufferframe*self.coord_sample_frame:self.bufferframe*self.coord_sample_frame+\
interval*self.coord_sample_frame]
if self.xystage is True:
freq_array = np.append(
0,
np.cumsum(
np.repeat(1 / self.coord_sample_frame,
self.coord_sample_frame * interval - 1)))
coord1time = ctime_start + freq_array
coord2time = coord1time.copy()
else:
if self.coord_sample_frame != 100:
freq_array = np.append(
0,
np.cumsum(
np.repeat(1 / self.coord_sample_frame,
self.coord_sample_frame * interval - 1)))
coord1time = ctime_start + freq_array
coord2time = coord1time.copy()
else:
coord1time = ctime_mcp.copy()
coord2time = ctime_mcp.copy()
if telemetry:
kidutils = det.kidsutils()
start_det_frame = self.startframe - self.bufferframe
end_det_frame = self.endframe + self.bufferframe
frames = np.array([start_det_frame, end_det_frame],
dtype='int')
dettime, pps_bins = kidutils.det_time(self.roach_pps_path, self.roach_number, frames, \
ctime_start, ctime_mcp[-1], self.det_fs)
coord1int = interp1d(coord1time, coord1, kind='linear')
coord2int = interp1d(coord2time, coord2, kind='linear')
idx_roach_start, = np.where(
np.abs(dettime - ctime_start) == np.amin(
np.abs(dettime - ctime_start)))
idx_roach_end, = np.where(
np.abs(dettime -
ctime_end) == np.amin(np.abs(dettime - ctime_end)))
if len(np.shape(self.det_data)) == 1:
self.det_data = kidutils.interpolation_roach(
self.det_data, pps_bins[pps_bins > 350], self.det_fs)
self.det_data = self.det_data[
idx_roach_start[0]:idx_roach_end[0]]
else:
for i in range(len(self.det_data)):
self.det_data[i] = kidutils.interpolation_roach(
self.det_data[i], pps_bins[pps_bins > 350],
self.det_fs)
self.det_data[i] = self.det_data[
i, idx_roach_start[0]:idx_roach_end[0]]
dettime = dettime[idx_roach_start[0]:idx_roach_end[0]]
else:
if len(np.shape(self.det_data)) == 1:
dettime = ctime_start + np.append(
0,
np.cumsum(
np.repeat(1 / self.det_fs, len(self.det_data))))
else:
dettime = ctime_start + np.append(
0,
np.cumsum(
np.repeat(1 / self.det_fs, len(self.det_data[0]))))
index1, = np.where(
np.abs(dettime - coord1time[0]) == np.amin(
np.abs(dettime - coord1time[0])))
index2, = np.where(
np.abs(dettime - coord1time[-1]) == np.amin(
np.abs(dettime - coord1time[-1])))
coord1_inter = coord1int(dettime[index1[0] + 200:index2[0] - 200])
coord2_inter = coord2int(dettime[index1[0] + 200:index2[0] - 200])
dettime = dettime[index1[0] + 200:index2[0] - 200]
if len(np.shape(self.det_data)) == 1:
self.det_data = self.det_data[index1[0] + 200:index2[0] - 200]
else:
for i in range(len(self.det_data)):
self.det_data[i] = self.det_data[i, index1[0] +
200:index2[0] - 200]
elif self.experiment.lower() == 'blastpol':
dettime, self.det_data = self.frame_zoom(self.det_data, self.det_sample_frame, \
self.det_fs, np.array([self.startframe,self.endframe]), \
self.offset)
coord1time, coord1 = self.frame_zoom(self.coord1_data, self.coord_sample_frame, \
self.coord_fs, np.array([self.startframe,self.endframe]))
coord2time, coord2 = self.frame_zoom(self.coord2_data, self.coord_sample_frame, \
self.coord_fs, np.array([self.startframe,self.endframe]))
dettime = dettime - dettime[0]
coord1time = coord1time - coord1time[0]
index1, = np.where(
np.abs(dettime - coord1time[0]) == np.amin(
np.abs(dettime - coord1time[0])))
index2, = np.where(
np.abs(dettime - coord1time[-1]) == np.amin(
np.abs(dettime - coord1time[-1])))
coord1_inter, coord2_inter = self.coord_int(coord1, coord2, \
coord1time, dettime[index1[0]+10:index2[0]-10])
dettime = dettime[index1[0] + 10:index2[0] - 10]
self.det_data = self.det_data[:, index1[0] + 10:index2[0] - 10]
if isinstance(self.hwp_data, np.ndarray):
if self.experiment.lower() == 'blastpol':
hwptime, hwp = self.frame_zoom(self.hwp_data, self.hwp_sample_frame, \
self.hwp_fs, np.array([self.startframe,self.endframe]))
hwptime = hwptime - hwptime[0]
index1, = np.where(
np.abs(dettime -
hwptime[0]) == np.amin(np.abs(dettime -
hwptime[0])))
index2, = np.where(
np.abs(dettime - hwptime[-1]) == np.amin(
np.abs(dettime - hwptime[-1])))
hwp_interpolation = interp1d(hwptime, hwp, kind='linear')
hwp_inter = hwp_interpolation(dettime[index1[0] +
10:index2[0] - 10])
else:
hwp = self.hwp_data[self.bufferframe*self.coord_sample_frame:self.bufferframe*self.coord_sample_frame+\
interval*self.coord_sample_frame]
freq_array = np.append(
0,
np.cumsum(
np.repeat(1 / self.hwp_sample_frame,
self.hwp_sample_frame * interval - 1)))
hwptime = ctime_start + freq_array
hwp_interpolation = interp1d(hwptime, hwp, kind='linear')
hwp_inter = hwp_interpolation(dettime)
del hwptime
del hwp
else:
hwp_inter = np.zeros_like(coord1_inter)
del coord1time
del coord2time
del coord1
del coord2
if self.lat_data is not None and self.lat_data is not None:
if self.experiment.lower() == 'blastpol':
lsttime, lst = self.frame_zoom(self.lst_data, self.lstlat_sample_frame, \
self.lstlatfreq, np.array([self.startframe,self.endframe]))
lattime, lat = self.frame_zoom(self.lat_data, self.lstlat_sample_frame, \
self.lstlatfreq, np.array([self.startframe,self.endframe]))
lsttime = lsttime - lsttime[0]
index1, = np.where(
np.abs(dettime -
lsttime[0]) == np.amin(np.abs(dettime -
lsttime[0])))
index2, = np.where(
np.abs(dettime - lsttime[-1]) == np.amin(
np.abs(dettime - lsttime[-1])))
lst_inter, lat_inter = self.coord_int(lst, lat, \
lsttime, dettime[index1[0]+10:index2[0]-10])
else:
lst = self.lst_data[self.bufferframe*self.coord_sample_frame:self.bufferframe*self.coord_sample_frame+\
interval*self.coord_sample_frame]
lat = self.lat_data[self.bufferframe*self.coord_sample_frame:self.bufferframe*self.coord_sample_frame+\
interval*self.coord_sample_frame]
lsttime = ctime_mcp.copy()
lattime = ctime_mcp.copy()
lstint = interp1d(lsttime, lst, kind='linear')
latint = interp1d(lattime, lat, kind='linear')
lst_inter = lstint(dettime)
lat_inter = latint(dettime)
del lst
del lat
if np.size(np.shape(self.det_data)) > 1:
return (dettime, self.det_data, \
coord1_inter, coord2_inter, hwp_inter, lst_inter, lat_inter)
else:
return (dettime, self.det_data, \
coord1_inter, coord2_inter, hwp_inter, lst_inter, lat_inter)
else:
if np.size(np.shape(self.det_data)) > 1:
return (dettime, self.det_data, \
coord1_inter, coord2_inter, hwp_inter)
else:
return (dettime, self.det_data, \
coord1_inter, coord2_inter, hwp_inter)
if (match):
lst = (float(match.group("day"))*24*3600 \
+ float(match.group("hour"))*3600)
schedule.append((lst, match.group("name")))
print "\nSchedule parsed with", len(schedule), "command lines"
print
print "************************************************************"
print "* Starting main loop, waiting for new scans *"
print "************************************************************"
print
#main loop. read LST_SCHED and if it crosses a schedule threshold, play the song
try:
while True:
df = gd.dirfile(dirfilePath, gd.RDONLY)
lst = df.getdata("LST_SCHED", gd.FLOAT, \
first_frame=df.nframes-1, num_frames=1)[0]
df.close()
newsong = False
try:
while lst > schedule[1][0]:
schedule.pop(0)
print "Passed threshold", schedule[0][0], "<", lst, \
"for region", schedule[0][1]
newsong = True
if newsong:
#can't do direct songLookup access because names may have modifier chars
for region in songLookup.iterkeys():
if schedule[0][1].find(region) >= 0:
print "New song!", schedule[0][1], "matches", region
def write_dirfile_format_file(self,dirfile_path, f, i, q):
print f
print i
print q
print "Writing format file"
dirf=gd.dirfile(dirfile_path,gd.RDWR)
print 'including format file fragments...','format_sweep','format_calibration'
sweepfrag = dirf.include('sweep',flags=gd.CREAT)
calfrag = dirf.include('calibration',flags=gd.CREAT)
for chan,(ff,ii,qq) in enumerate(zip(f,i,q)):
di = np.diff(ii)
dq = np.diff(qq)
mididx=ff.size//2
df = ff[mididx+1]-ff[mididx]
f_tone = ff[mididx]
i_tone = ii[mididx]
q_tone = qq[mididx]
di_tone = di[mididx]
dq_tone = dq[mididx]
#di_tone = np.mean(di[mididx-1:mididx+1])
#dq_tone = np.mean(dq[mididx-1:mididx+1])
didf_tone = di_tone/df
dqdf_tone = dq_tone/df
c,r = self.least_sq_circle(ii,qq)
phi_tone = np.arctan2(q_tone-c[1],i_tone-c[0])
#Sweeps
dirf.add(gd.entry(gd.CARRAY_ENTRY,'sweep_f_%04d'%chan,sweepfrag,(gd.FLOAT32,ff.size)))
dirf.add(gd.entry(gd.CARRAY_ENTRY,'sweep_i_%04d'%chan,sweepfrag,(gd.FLOAT32,ff.size)))
dirf.add(gd.entry(gd.CARRAY_ENTRY,'sweep_q_%04d'%chan,sweepfrag,(gd.FLOAT32,ff.size)))
dirf.put_carray('sweep_f_%04d'%chan,ff)
dirf.put_carray('sweep_i_%04d'%chan,ii)
dirf.put_carray('sweep_q_%04d'%chan,qq)
##Resonant Frequency
#dirf.add(gd.entry(gd.CONST_ENTRY,'cal_res_freq_%04d'%chan,calfrag,(gd.FLOAT32,)))
#dirf.put_constant('cal_res_freq_%04d'%chan,fres)
#Tone Frequency
dirf.add(gd.entry(gd.CONST_ENTRY,'_cal_tone_freq_%04d'%chan,calfrag,(gd.FLOAT32,)))
dirf.put_constant('_cal_tone_freq_%04d'%chan,f_tone)
#i-i0 q-q0
dirf.add(gd.entry(gd.LINCOM_ENTRY,'_cal_i_sub_i0_%04d'%chan,calfrag,
(("I%04d"%chan,),(1,),(-1*i_tone,))))
dirf.add(gd.entry(gd.LINCOM_ENTRY,'_cal_q_sub_q0_%04d'%chan,calfrag,
(("Q%04d"%chan,),(1,),(-1*q_tone,))))
#Complex values
dirf.add(gd.entry(gd.LINCOM_ENTRY,'_cal_complex_%04d'%chan,calfrag,
(("I%04d"%chan,"Q%04d"%chan),(1,1j),(0,0))))
#Amplitude
dirf.add(gd.entry(gd.PHASE_ENTRY,'amplitude_%04d'%chan,calfrag,
(('_cal_complex_%04d.m'%chan),0)))
Phase
dirf.add(gd.entry(gd.LINCOM_ENTRY,'phase_raw_%04d'%chan,calfrag,
(('_cal_complex_%04d.a'%chan,),(1,1j),(0,))))
#Complex_centered:
dirf.add(gd.entry(gd.LINCOM_ENTRY,'_cal_centred_%04d'%chan,calfrag,
(("_cal_complex_%04d"%chan,),(1,),(-c[0]-1j*c[1],))))
#Complex_rotated
dirf.add(gd.entry(gd.LINCOM_ENTRY,'_cal_rotated_%04d'%chan,calfrag,
(("_cal_centred_%04d"%chan,),(np.exp(-1j*phi_tone),),(0,))))
#Phase
dirf.add(gd.entry(gd.LINCOM_ENTRY,'phase_rotated_%04d'%chan,calfrag,
(('_cal_rotated_%04d.a'%chan,),(1,),(0,))))
#df = ((i[0]-i)(di/df) + (q[0]-q)(dq/df) ) / ((di/df)**2 + (dq/df)**2)
dirf.add(gd.entry(gd.CONST_ENTRY,'_cal_didf_mult_%04d'%chan,calfrag,(gd.FLOAT32,)))
dirf.add(gd.entry(gd.CONST_ENTRY,'_cal_dqdf_mult_%04d'%chan,calfrag,(gd.FLOAT32,)))
dirf.put_constant('_cal_didf_mult_%04d'%chan,didf_tone/(didf_tone**2+dqdf_tone**2))
dirf.put_constant('_cal_dqdf_mult_%04d'%chan,dqdf_tone/(didf_tone**2+dqdf_tone**2))
dirf.add(gd.entry(gd.LINCOM_ENTRY,'_cal_i0_sub_i_%04d'%chan,calfrag,
(("I%04d"%chan,),(-1,),(i_tone,))))
dirf.add(gd.entry(gd.LINCOM_ENTRY,'_cal_q0_sub_q_%04d'%chan,calfrag,
(("Q%04d"%chan,),(-1,),(q_tone,))))
dirf.add(gd.entry(gd.LINCOM_ENTRY, 'delta_f_%04d'%chan, calfrag,
(("_cal_i0_sub_i_%04d"%chan,"_cal_q0_sub_q_%04d"%chan),
("_cal_didf_mult_%04d"%chan,"_cal_dqdf_mult_%04d"%chan),
(0,0))))
#x = df/f0
dirf.add(gd.entry(gd.LINCOM_ENTRY,'x_%04d'%chan,calfrag,
(('delta_f_%04d'%chan,),(1./f_tone,),(0,))))
dirf.close()
# Quickly plot up last sweep and save pngs
import matplotlib.pyplot as plt
import numpy as np
import pygetdata as gd
import glob
import os
list_of_sweeps = glob.glob('/data/dirfiles/roach0/20??????_??????_sweep')
latest_sweep = max(list_of_sweeps, key=os.path.getctime)
figdir = '/data/tuning/roach0/' + latest_sweep[-21:-6]
if not os.path.isdir(figdir):
os.mkdir(figdir)
df = gd.dirfile(latest_sweep, gd.RDONLY | gd.UNENCODED)
lo = df.get_carray('sweep.lo_freqs')
for key in df.field_list():
if (key[-4] == 'K') or (key[-4] == 'B'):
sweep = df.get_carray('sweep.' + key[-4:])
plt.figure(1)
plt.plot((lo - np.mean(lo)) / 1e3, 20 * np.log10(np.abs(sweep)))
plt.grid()
plt.xlabel('Offset Frequency [kHz]')
plt.ylabel('20*log10(mag)')
plt.title(key[-4:] + ': ' + latest_sweep[-21:-6])
