def nrcan_parse_result(filename, station, inputfile, bwd=False):
nrcan_result = ppp_common.PPP_Result()
nrcan_result.station = station
if not os.path.exists(filename):
print "No pos file to read!"
assert(0)
print " read results from ", filename
with open(filename, "r") as f:
for line in f:
if line.startswith("FWD") or line.startswith("BWD"):
vals = line.split(" ")
vals = filter(None, vals)
(year,month,day) = struct.unpack("4sx2sx2s", vals[4])
tod = vals[5].replace(":","")
(h,m,s) = struct.unpack("2s2s6s", tod)
if bwd: # if we want BWD, then retain only backward solution
if vals[0] != "BWD":
continue
dt = datetime.datetime( int(year),int(month),int(day),int(h),int(m),int(float(s)))
clk = float( vals[13] ) # receiver clock (ns)
ztd = float( vals[14] ) # zenith trposphere delay (m)
lat = float( vals[20] ) + float( vals[21] )/60.0 + float( vals[22] )/(3600.0) # latitude
lon = float( vals[23] ) + float( vals[24] )/60.0 + float( vals[25] )/(3600.0) # longitude
height = float( vals[26] ) # height (m)
p = ppp_common.PPP_Point( dt, lat, lon, height, clk, ztd )
nrcan_result.append(p)
if bwd: # for the BWD solution, flip order
nrcan_result.reverse()
return nrcan_result
def nrcan_parse_result(filename, station, inputfile, bwd=False):
# This function reads and parses the .pos file
#
# This is an older format:
#
# DIR FRAME STN DOY YEAR-MM-DD HR:MN:SS.SSS NSV GDOP SDC SDP DLAT(m) DLON(m) DHGT(m) CLK(ns) TZD(m) SLAT(m) SLON(m) SHGT(m) SCLK(ns) STZD(m) LAT(d) LAT(m) LAT(s) LON(d) LON(m) LON(s) HGT(m) NORTHING(m) EASTING(m) ZONE SCALE_FACTOR HEMI AM COMBINED_SCALE_FACTOR
# FWD ITRF(IGb08) MARK 290.0003472 2013-10-17 00:00:30.000 6 3.4 0.83 0.0000 2.543 -0.205 2.830 250.994 2.3093 22.344 15.908 55.671 14.038 0.1000 64 13 58.18167 27 41 3.38254 173.566 7123137.761 533190.009 35 0.99961349 N 6 0.99958626
#
# This is a more recent (2015 December) format:
#
# 0 1 2 3 4 5 6 7 8 9 19 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41
# DIR FRAME STN DOY YEAR-MM-DD HR:MN:SS.SSS NSV GDOP SDC SDP DLAT(m) DLON(m) DHGT(m) CLK(ns) TZD(m) SLAT(m) SLON(m) SHGT(m) SCLK(ns) STZD(m) LAT(d) LAT(m) LAT(s) LON(d) LON(m) LON(s) HGT(m) AM GRAD1 GRAD2 SGRD1 SGRD2 WETZD(m) GLNCLK(ns) SGLNCLK(ns) MAXNL MAXWL AVGNL(m) AVGWL(m) VTEC(.1TECU) GPS_DP1P2(ns) GLN_DP1P2(ns)
# FWD ITRF(IGb08) usn6 344.0000000 2015-12-10 00:00:00.000 14 2.3 0.69 0.0000 0.532 -0.960 -2.344 -4.054 2.3456 1.286 1.217 2.935 7.468 0.0999 38 55 14.05525 -77 3 58.63558 56.579 14 0.0 0.0 0.0 0.0 0.0542 33.576 8.911 0.2000 1.5000 0.0000 0.0000 100.0 0.0 0.0
nrcan_result = ppp_common.PPP_Result()
nrcan_result.station = station
if not os.path.exists(filename):
print "No pos file to read!"
print "expexted to find ", filename
assert (0)
print " read results from ", filename
with open(filename, "r") as f:
for line in f:
if line.startswith("FWD") or line.startswith("BWD"):
vals = line.split(" ")
vals = filter(None, vals)
(year, month, day) = struct.unpack("4sx2sx2s", vals[4])
tod = vals[5].replace(":", "")
(h, m, s) = struct.unpack("2s2s6s", tod)
if bwd: # if we want BWD, then retain only backward solution
if vals[0] != "BWD":
continue
dt = datetime.datetime(int(year), int(month), int(day), int(h),
int(m), int(float(s)))
clk = float(vals[13]) # receiver clock (ns)
ztd = float(vals[14]) # zenith trposphere delay (m)
lat = float(vals[20]) + float(vals[21]) / 60.0 + float(
vals[22]) / (3600.0) # latitude
lon = float(vals[23]) + float(vals[24]) / 60.0 + float(
vals[25]) / (3600.0) # longitude
height = float(vals[26]) # height (m)
p = ppp_common.PPP_Point(dt, lat, lon, height, clk, ztd)
nrcan_result.append(p)
if bwd: # for the BWD solution, flip order
nrcan_result.reverse()
return nrcan_result
def glab_parse_result(fname, station, backward=True):
"""
parse the FILTER data fields from gLAB outuput
to a format defined by PPP_Result
"""
ppp_result = ppp_common.PPP_Result()
ppp_result.station = station
with open(fname) as f:
for line in f:
if line.startswith("FILTER"):
fields = line.split()
assert (fields[0] == "FILTER")
year = int(fields[1])
doy = int(fields[2])
secs = float(
fields[3]) # seconds from start of day. GPS or UTC time??
dt = datetime.datetime(year, 1, 1) + datetime.timedelta(
days=doy - 1, seconds=secs)
x = float(fields[4])
y = float(fields[5])
z = float(fields[6])
(lat, lon, height) = ppp_common.xyz2lla(x, y, z)
clk = float(fields[7]) * (1.0e9 / 299792458.0
) # Receiver clock [ns]
ztd = float(fields[8]) # Zenith Tropospheric Delay [m]
p = ppp_common.PPP_Point(dt, lat, lon, height, clk, ztd)
ppp_result.append(p)
if backward: # we retain data from the FILTER run backwards
maxepoch = datetime.datetime(1900, 1, 1)
bwd_obs = []
#found = False
for p in ppp_result.observations:
if p.epoch > maxepoch:
maxepoch = p.epoch
maxpt = p
else: # we are now in the backwards data
#if not found:
# print "max epoch ", maxepoch
# bwd_obs.append(maxpt)
# found = True
bwd_obs.append(p)
bwd_obs.reverse() # back to chronological order
ppp_result.observations = bwd_obs
print len(ppp_result)
return ppp_result
def glab_parse_result(fname, station):
"""
parse the FILTER data fields from gLAB outuput
"""
ppp_result = ppp_common.PPP_Result()
ppp_result.station=station
with open(fname) as f:
for line in f:
if line.startswith("FILTER"):
fields = line.split()
assert( fields[0] == "FILTER" )
year = int(fields[1])
doy = int(fields[2])
secs = float(fields[3]) # seconds from start of day. GPS or UTC time??
dt = datetime.datetime(year,1,1) + datetime.timedelta( days = doy-1, seconds=secs )
x = float(fields[4])
y = float(fields[5])
z = float(fields[6])
(lat, lon, height ) = ppp_common.xyz2lla( x, y, z )
clk = float(fields[7]) * (1.0e9 / 299792458.0) # Receiver clock [ns]
ztd = float(fields[8]) # Zenith Tropospheric Delay [m]
p = ppp_common.PPP_Point( dt, lat, lon, height, clk, ztd )
ppp_result.append(p)
return ppp_result
def parse_result(fname, station):
"""
parse the RTKLib output
to a format defined by PPP_Result
"""
# tropo results are in the stats file
stat_fname = fname + ".stat"
tropo = []
clock = []
with open(stat_fname) as f:
for line in f:
if line.startswith("$TROP"):
line2 = line.split(",")
tropo.append(float(line2[5]))
if line.startswith("$CLK"):
line2 = line.split(",")
clock.append(float(line2[5]))
# has bot fwd and bwd
clock.reverse()
tropo.reverse()
ppp_result = ppp_common.PPP_Result()
ppp_result.station = station
with open(fname) as f:
n = 0 # line count
for line in f:
if line.startswith("%"):
pass # comments
else:
fields = line.split()
#print fields
ymd = fields[0]
ymd = ymd.split("/")
year = int(ymd[0])
month = int(ymd[1])
day = int(ymd[2])
hms = fields[1]
hms = hms.split(":")
hour = int(hms[0])
minute = int(hms[1])
second = int(numpy.round(float(hms[2])))
clk = clock[n]
#(second - float(hms[2]))*1.0e9
#print year, month, day, hour, minute, second, clk
#secs = float(ymd[2])
dt = datetime.datetime(year, month, day, hour, minute,
0) + datetime.timedelta(seconds=second)
#print dt
(lat, lon,
height) = float(fields[2]), float(fields[3]), float(fields[4])
#ppp_common.xyz2lla( x, y, z )
#clk = float(fields[7]) * (1.0e9 / 299792458.0) # Receiver clock [ns]
ztd = tropo[n] #??
float(fields[8]) # Zenith Tropospheric Delay [m]
p = ppp_common.PPP_Point(dt, lat, lon, height, clk, ztd)
ppp_result.append(p)
n = n + 1
print "clk len=", len(clock)
print "pos len=", len(ppp_result.observations)
"""
if backward: # we retain data from the FILTER run backwards
maxepoch=datetime.datetime(1900,1,1)
bwd_obs = []
#found = False
for p in ppp_result.observations:
if p.epoch > maxepoch:
maxepoch = p.epoch
maxpt = p
else: # we are now in the backwards data
#if not found:
# print "max epoch ", maxepoch
# bwd_obs.append(maxpt)
# found = True
bwd_obs.append(p)
bwd_obs.reverse() # back to chronological order
ppp_result.observations = bwd_obs
"""
print len(ppp_result)
return ppp_result
