def quickLook_function(station, year, doy, snr_type, f, e1, e2, minH, maxH,
reqAmp, pele, webapp, satsel, PkNoise):
"""
inputs:
station name (4 char), year, day of year
snr_type is the file extension (i.e. 99, 66 etc)
f is frequency (1, 2, 5), etc
e1 and e2 are the elevation angle limits in degrees for the LSP
minH and maxH are the allowed LSP limits in meters
reqAmp is LSP amplitude significance criterion
pele is the elevation angle limits for the polynomial removal. units: degrees
KL 20may10 pk2noise value is now sent from main function, which can be set online
"""
# orbit directories
ann = g.make_nav_dirs(year)
# titles in 4 quadrants - for webApp
titles = ['Northwest', 'Southwest', 'Northeast', 'Southeast']
# define where the axes are located
bx = [0, 1, 0, 1]
by = [0, 0, 1, 1]
bz = [1, 3, 2, 4]
Simplify = True
# various defaults - ones the user doesn't change in this quick Look code
delTmax = 70
polyV = 4 # polynomial order for the direct signal
desiredP = 0.01 # 1 cm precision
ediff = 2 # this is a QC value, eliminates small arcs
#four_in_one = True # put the plots together
# this is pretty loose
#PkNoise = 2.7
minNumPts = 20
#NReg = [0.35, 6] # noise region for LSP QC. these are meters
NReg = [minH, maxH]
print('noise region', NReg)
# change noise region to the reflector height region
# for quickLook, we use the four geographic quadrants - these are azimuth angles in degrees
azval = [270, 360, 180, 270, 0, 90, 90, 180]
naz = int(len(azval) / 2) # number of azimuth pairs
pltname = 'temp.png'
requireAmp = reqAmp[0]
# to avoid having to do all the indenting over again
# this allows snr file to live in main directory
# not sure that that is all that useful as I never let that happen
obsfile = g.define_quick_filename(station, year, doy, snr_type)
print('the SNR filename is', obsfile)
if os.path.isfile(obsfile):
print('>>>> WOOHOOO - THE SNR FILE EXISTS ONLINE ', obsfile)
else:
if True:
print('look for the SNR file elsewhere')
obsfile, obsfileCmp, snre = g.define_and_xz_snr(
station, year, doy, snr_type)
# obsfile,obsfileCmp = g.define_filename(station,year,doy,snr_type)
if snre:
print('file exists on disk')
else:
print('>>>> Sigh, - SNR the file does not exist ', obsfile)
print('I will try to pick up a RINEX file ')
print('and translate it for you. This will be GPS only.')
print(
'For now I will check all the official archives for you.')
rate = 'low'
dec_rate = 0
archive = 'all'
g.quick_rinex_snrC(year, doy, station, snr_type, 'nav', rate,
dec_rate, archive)
if os.path.isfile(obsfile):
print('the SNR file now exists')
else:
print(
'the RINEX file did not exist, had no SNR data, or failed to convert, so exiting.'
)
allGood, sat, ele, azi, t, edot, s1, s2, s5, s6, s7, s8, snrE = q.read_snr_simple(
obsfile)
if allGood == 1:
amax = 0
minEdataset = np.min(ele)
print('min elevation angle for this dataset ', minEdataset)
if minEdataset > (e1 + 0.5):
print('It looks like the receiver had an elevation mask')
e1 = minEdataset
if webapp:
fig = Figure(figsize=(10, 6), dpi=120)
axes = fig.subplots(2, 2)
else:
plt.figure()
for a in range(naz):
if not webapp:
plt.subplot(2, 2, bz[a])
plt.title(titles[a])
az1 = azval[(a * 2)]
az2 = azval[(a * 2 + 1)]
# this means no satellite list was given, so get them all
if satsel == None:
satlist = g.find_satlist(f, snrE)
else:
satlist = [satsel]
for satNu in satlist:
x, y, Nv, cf, UTCtime, avgAzim, avgEdot, Edot2, delT = g.window_data(
s1, s2, s5, s6, s7, s8, sat, ele, azi, t, edot, f, az1,
az2, e1, e2, satNu, polyV, pele)
if Nv > minNumPts:
maxF, maxAmp, eminObs, emaxObs, riseSet, px, pz = g.strip_compute(
x, y, cf, maxH, desiredP, polyV, minH)
nij = pz[(px > NReg[0]) & (px < NReg[1])]
Noise = 0
iAzim = int(avgAzim)
if (len(nij) > 0):
Noise = np.mean(nij)
else:
Noise = 1
iAzim = 0 # made up numbers
if (delT < delTmax) & (eminObs < (e1 + ediff)) & (
emaxObs >
(e2 - ediff)) & (maxAmp > requireAmp) & (maxAmp / Noise
> PkNoise):
print(
'SUCCESS Azimuth {0:3.0f} RH {1:6.3f} m, Sat {2:3.0f} Freq {3:3.0f} Amp {4:4.1f} PkNoise {5:3.1f} '
.format(avgAzim, maxF, satNu, f, maxAmp,
maxAmp / Noise))
if not webapp:
plt.plot(px, pz, linewidth=1.5)
else:
axes[bx[a], by[a]].plot(px, pz, linewidth=2)
axes[bx[a], by[a]].set_title(titles[a])
else:
if not webapp:
plt.plot(px, pz, 'gray', linewidth=0.5)
#print(' failure Azimuth {0:3.0f} RH {1:6.3f} m, Sat {2:3.0f} Freq {3:3.0f} Amp {4:4.1f} PkNoise {5:3.1f} '.format( avgAzim,maxF,satNu,f,maxAmp,maxAmp/Noise))
# i do not know how to add a grid using these version of matplotlib
tt = 'GNSS-IR results: ' + station.upper() + ' Freq:' + str(
f) + ' ' + str(year) + '/' + str(doy)
aaa, bbb = plt.ylim()
amax = max(amax, bbb) # do not know how to implement this ...
if (a == 3) or (a == 1):
plt.xlabel('reflector height (m)')
plt.suptitle(tt, fontsize=12)
if webapp:
fig.savefig('temp.png', format="png")
else:
plt.show()
else:
print(
'some kind of problem with SNR file, so I am exiting the code politely.'
)
satlist = g.find_satlist(f, snrE)
else:
satlist = [onesat]
# for a given satellite
for satNu in satlist:
for a in range(naz):
az1 = azval[(a * 2)]
az2 = azval[(a * 2 + 1)]
# window the data
x, y, Nv, cf, UTCtime, avgAzim, avgEdot, Edot2, delT = g.window_data(
s1, s2, s5, s6, s7, s8, sat, ele, azi, t, edot, f,
az1, az2, e1, e2, satNu, polyV, pele)
# this is a kluge for snr files that have non edot values in column 5
MJD = g.getMJD(year, month, day, UTCtime)
if Nv > minNumPts:
maxF, maxAmp, eminObs, emaxObs, riseSet, px, pz = g.strip_compute(
x, y, cf, maxH, desiredP, polyV, minH)
nij = pz[(px > NReg[0]) & (px < NReg[1])]
Noise = 0
if (len(nij) > 0):
Noise = np.mean(nij)
# this is the main QC statement
iAzim = int(avgAzim)
okPk = True
if abs(maxF - minH
) < 0.10: # peak too close to min value
# even better check would be to compare frequencies ... :wq
okPk = False
print('found a peak too close to the edge')
if okPk & (delT < delTmax) & (
eminObs <
(e1 + ediff)) & (emaxObs > (e2 - ediff)) & (