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ppp_common.py
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"""
this file is part of ppp-tools, https://github.com/aewallin/ppp-tools
Licensed under GPLv2
Anders Wallin 2018
common classes and functions for all ppp-implementations.
"""
import math
import os
import datetime
import station
import ftp_tools
import jdutil
def diff_stations(prefixdir, station1, station2, dt, products, program, num_days=1):
"""
calculate clock difference between two stations
Station1 PPP result is receive_clock_offset = IGST(rapid/final) - Station1
Station2 PPP result is receive_clock_offset = IGST(rapid/final) - Station2
Double difference Station1-Station2 gives:
(IGST(rapid/final) - Station1) - (IGST(rapid/final) - Station2)
=
Station2 - Station1
"""
year = dt.timetuple().tm_year
doy = dt.timetuple().tm_yday
mjd = jdutil.datetime_to_mjd(dt)
# output filename
diff_dir = prefixdir + "/results/diff/"
ftp_tools.check_dir(diff_dir)
#fname = diff_dir + "%s.diff.%s.%d.%s.%s.txt" % (
# station1.receiver, station2.receiver, mjd, products, program)
#if os.path.exists(fname):
# print(fname, " already exists - nothing to do.")
# return # result already exists, nothing to do
r1 = read_result_file(station1, dt, products, program, prefixdir, num_days=num_days)
r2 = read_result_file(station2, dt, products, program, prefixdir, num_days=num_days)
# print "diff station2 ", len(r2)
#read_result_file( )
# 2,x2) = bipm_ftp.COD_read_day(prefixdir, station2, year, doy, rapid)
# print len(t1), len(t2)
(t_diff, clock_diff) = diff(r1, r2)
print("diff %s - %s : %d points" % ( station1.name, station2.name, len(t_diff) ) )
#print(len(t_diff), " points")
# print len(td), len(d)
# print d
# print numpy.median(d)
#(td2,d2) = mad.remove_timeseries_outliers(td,d)
# write_diff_file(prefixdir, station1, station2, year, doy, td2, d2)
# print len(td2)
return (t_diff, clock_diff)
def diff(result1, result2):
"""
calculate receiver clock double-difference of two PPP_Result objects
"""
# choose the longer t-vector for the outer loop!
td = []
d = []
t1 = [x.epoch for x in result1.observations]
ns1 = [x.clock for x in result1.observations]
t2 = [x.epoch for x in result2.observations]
ns2 = [x.clock for x in result2.observations]
if (len(t1) >= len(t2)):
for t in t1:
if t in t2:
idx1 = t1.index(t)
idx2 = t2.index(t)
d.append(ns1[idx1] - ns2[idx2])
td.append(t)
else:
for t in t2: # t2 is longer than t1
if t in t1:
idx1 = t1.index(t)
idx2 = t2.index(t)
if idx1 < 0 or idx1 > len(ns1)-1: # an error!
print(t, idx1, len(ns1), t1.index(t), t in t1)
print(t, idx2, len(ns2), t2.index(t), t in t2)
d.append(ns1[idx1]-ns2[idx2])
td.append(t)
assert(len(td) == len(d))
return (td, d)
def write_result_file(ppp_result, preamble="", rapid=True, tag="ppp", prefixdir="", num_days=1):
"""
write a PPP_Result object out to a text file
"""
ftp_tools.check_dir(prefixdir + "/results")
ftp_tools.check_dir(prefixdir + "/results/" + ppp_result.station.name)
last_obs = ppp_result.observations[-1]
last_obs_mjd = int(jdutil.datetime_to_mjd(last_obs.epoch))
rapid_final = "final"
if rapid:
rapid_final = "rapid"
# filename for result file
# single day: MI04.59385.rapid.gpspace.txt
# multi-day:
if num_days==1:
result_file = ppp_result.station.receiver + "." + \
str(last_obs_mjd) + "." + rapid_final + "." + tag + ".txt"
else:
result_file = ppp_result.station.receiver + "." + \
str(last_obs_mjd) + ".MD_"+str(num_days) + "." + rapid_final + "." + tag + ".txt"
outfile = prefixdir + "/results/" + ppp_result.station.name + "/" + result_file
with open(outfile, 'w') as f:
# "# run start:
datastring = "# this file: " + result_file + " \n"
f.write(datastring)
for line in preamble.split('\n'):
f.write("# %s\n" % line)
f.write(PPP_Point.column_labels())
for point in ppp_result.observations:
f.write(str(point) + "\n")
f.write("# end\n")
print(" wrote results to ", outfile)
return outfile
def read_result_file(station, dt, products, program, prefixdir, num_days=1):
"""
read text-file and return PPP_Result
"""
mjd = jdutil.datetime_to_mjd(dt)
if num_days==1:
fname = "%s.%d.%s.%s.txt" % (station.receiver, mjd, products, program)
else:
fname = "%s.%d.MD_%d.%s.%s.txt" % (station.receiver, mjd, num_days, products, program)
r = PPP_Result()
with open(prefixdir+"/results/" + station.name + "/" + fname) as f:
for line in f:
if line.startswith("#"):
pass
else:
line = line.split()
# 0 1 2 3 4 5 6 7 8 9 10
# Year Month Day Hour Min Sec Lat(deg) Lon(deg) Height(m) Clock(ns) ZTD(m)
epoch = datetime.datetime(int(line[0]), int(line[1]), int(
line[2]), int(line[3]), int(line[4]), int(line[5]))
lat = float(line[6])
lon = float(line[7])
height = float(line[8])
clock = float(line[9])
ztd = float(line[10])
r.append(PPP_Point(epoch, lat, lon, height, clock, ztd))
print("read %d points from %s"%(len(r), fname))
return r
def read_time(station, dt, products, program, prefixdir):
r = read_result_file(station, dt, products, program, prefixdir)
t = [x.epoch for x in r.observations]
ns = [x.clock for x in r.observations]
ztd = [x.ztd for x in r.observations]
return (t, ns, ztd)
class PPP_Result():
"""
this class stores the result of a ppp run
it consists of a list of observations, each a PPP_Point
"""
def __init__(self):
self.observations = []
self.station = ""
def epoch(self):
return [o.epoch for o in self.observations]
def lat(self):
return [o.lat for o in self.observations]
def lon(self):
return [o.lon for o in self.observations]
def height(self):
return [o.height for o in self.observations]
def clock(self):
return [o.clock for o in self.observations]
def ztd(self):
return [o.ztd for o in self.observations]
def append(self, p):
self.observations.append(p)
def reverse(self):
self.observations.reverse()
def __len__(self):
return len(self.observations)
class PPP_Point():
"""
a single point obsevation
"""
def __init__(self, epoch, lat, lon, h, clock, ztd):
self.epoch = epoch # epoch of observation, as a datetime object
self.lat = lat # latitude in float degrees
self.lon = lon # longitude in float degrees
self.height = h # height in meters
self.clock = clock # receiver clock in nanoseconds
self.ztd = ztd # zenith tropospheric delay in meters
@staticmethod
def column_labels():
labels = "# Year\tMonth\tDay\tHour\tMin\tSec\tLat(deg)\tLon(deg)\tHeight(m)\tClock(ns)\tZTD(m)\n"
return labels
def __str__(self): # string representation
return "%d\t%d\t%d\t%d\t%d\t%d\t%0.6f\t%0.6f\t%0.6f\t%0.6f\t%0.6f" % (self.epoch.year, self.epoch.month, self.epoch.day,
self.epoch.hour, self.epoch.minute, self.epoch.second,
self.lat, self.lon, self.height, self.clock, self.ztd)
def xyz2lla(x, y, z):
"""
convert from ECEF (x,y,z) to WGS (lat,lon,height)
http://www.nicolargo.com/dev/xyz2lla/
Convert XYZ coordinates to cartesien LLA (Latitude/Longitude/Altitude)
Alcatel Alenia Space - Nicolas Hennion
Version 0.1
Python version translation by John Villalovos
"""
# Constants (WGS ellipsoid)
a = 6378137
e = 8.1819190842622e-2
# Calculation
b = math.sqrt(pow(a, 2) * (1-pow(e, 2)))
ep = math.sqrt((pow(a, 2)-pow(b, 2))/pow(b, 2))
p = math.sqrt(pow(x, 2)+pow(y, 2))
th = math.atan2(a*z, b*p)
lon = math.atan2(y, x)
lat = math.atan2((z+ep*ep*b*pow(math.sin(th), 3)),
(p-e*e*a*pow(math.cos(th), 3)))
n = a/math.sqrt(1-e*e*pow(math.sin(lat), 2))
alt = p/math.cos(lat)-n
lat = (lat*180)/math.pi
lon = (lon*180)/math.pi
return (lat, lon, alt)
if __name__ == "__main__":
prefixdir = os.getcwd()
#fname = "results/USNO/usn6.58176.rapid.glab.txt"
station1 = station.usno
dt = datetime.datetime.utcnow() - datetime.timedelta(days=4)
products = "rapid"
program = "nrcan"
r = read_result_file(station1, dt, products, program, prefixdir)
print("read ", len(r), " points")
station1 = station.usno
station2 = station.ptb
(t, d) = diff_stations(prefixdir, station1, station2, dt, products, "nrcan")
(t2, d2) = diff_stations(prefixdir, station1, station2, dt, products, "glab")
print(d)