def rise_set_yydoy(df_tle: pd.DataFrame, yydoy: str, dir_tle: str, logger: logging.Logger) -> pd.DataFrame:
"""
rise_set_yydoy calculates the rise/set times for GNSS PRNs
"""
cFuncName = colored(os.path.basename(__file__), 'yellow') + ' - ' + colored(sys._getframe().f_code.co_name, 'green')
# get the datetime that corresponds to yydoy
date_yydoy = datetime.strptime(yydoy, '%y%j')
logger.info('{func:s}: calculating rise / set times for {date:s} ({yy:s}/{doy:s})'.format(date=colored(date_yydoy.strftime('%d-%m-%Y'), 'green'), yy=yydoy[:2], doy=yydoy[2:], func=cFuncName))
# load a time scale and set RMA as Topo
# loader = sf.Loader(dir_tle, expire=True) # loads the needed data files into the tle dir
ts = sf.load.timescale()
RMA = sf.Topos('50.8438 N', '4.3928 E')
logger.info('{func:s}: Earth station RMA = {topo!s}'.format(topo=colored(RMA, 'green'), func=cFuncName))
t0 = ts.utc(int(date_yydoy.strftime('%Y')), int(date_yydoy.strftime('%m')), int(date_yydoy.strftime('%d')))
date_tomorrow = date_yydoy + timedelta(days=1)
t1 = ts.utc(int(date_tomorrow.strftime('%Y')), int(date_tomorrow.strftime('%m')), int(date_tomorrow.strftime('%d')))
# go over the PRN / NORADs that have TLE corresponding to the requested date
for row, prn in enumerate(df_tle['PRN']):
logger.info('{func:s}: for NORAD {norad:s} ({prn:s})'.format(norad=colored(df_tle['NORAD'][row], 'green'), prn=colored(prn, 'green'), func=cFuncName))
# create a EarthSatellites from the TLE lines for this PRN
gnss_sv = EarthSatellite(df_tle['TLE1'][row], df_tle['TLE2'][row])
logger.info('{func:s}: created earth satellites {sat!s}'.format(sat=colored(gnss_sv, 'green'), func=cFuncName))
t, events = gnss_sv.find_events(RMA, t0, t1, altitude_degrees=5.0)
for ti, event in zip(t, events):
name = ('rise above 5d', 'culminate', 'set below 5d')[event]
logger.info('{func:s}: {jpl!s} -- {name!s}'.format(jpl=ti.utc_jpl(), name=name, func=cFuncName))
def get_sun_data(lat, lon, flight_date):
sky_fmt = "%Y-%m-%dT%H:%M:%SZ"
ts = api.load.timescale()
e = api.load('de421.bsp')
sunrise = None
sunset = None
bluffton = api.Topos(lat, lon)
# first get sunrise and sunset times
t, y = almanac.find_discrete(
ts.utc(flight_date.date()),
ts.utc(flight_date.date() + datetime.timedelta(days=1)),
almanac.sunrise_sunset(e, bluffton))
for ti, yi in zip(t, y):
if yi:
sunrise = ti.utc_iso()
else:
sunset = ti.utc_iso()
return (datetime.datetime.strptime(
sunrise, sky_fmt).replace(tzinfo=datetime.timezone.utc) -
datetime.timedelta(minutes=30),
datetime.datetime.strptime(
sunset, sky_fmt).replace(tzinfo=datetime.timezone.utc) +
datetime.timedelta(minutes=30))
def get_sunrise_sunset(latitude, longitude, date, timezone):
"""
:type timezone: datetime.tzinfo
:type date: datetime.date
:type latitude: float
:type longitude: float
:return Tuple of datetime (sunrise, sunset), or None instead of a datetime
if it doesn't occur that day.
"""
# TODO: 4 AM is used in the documentation, but does it work everywhere?
# https://rhodesmill.org/skyfield/almanac.html#sunrise-and-sunset
t0 = ts.utc(date.year, date.month, date.day, 4)
t1 = ts.utc(date.year, date.month, date.day + 1, 4)
location = api.Topos(latitude_degrees=latitude, longitude=longitude)
# The result t will be an array of times, and y will be True if the sun
# rises at the corresponding time and False if it sets.
times, are_sunrise = almanac.find_discrete(
t0, t1, almanac.sunrise_sunset(e, location))
sunrise = None
sunset = None
for time, is_sunrise in zip(times, are_sunrise):
if is_sunrise:
# Not expecting multiple sunrises per day.
assert sunrise is None
sunrise = time.astimezone(timezone)
else:
# Not expecting multiple sunsets per day.
assert sunset is None
sunset = time.astimezone(timezone)
return sunrise, sunset
def get_data(time, lat, long): # , azi, alt, radius):
"""Returns star data near a certain position"""
# As of yet, does literally none of that.
try:
lat = float(lat)
long = float(long)
except ValueError:
print('wow')
abort(404)
location = earth + skyapi.Topos(lat, long)
dt = datetime.fromtimestamp(time)
dt = dt.replace(tzinfo=skyapi.utc)
t = ts.utc(dt)
return jsonify({
'type':
'FeatureCollection',
'features': [{
'geometry': {
'type': 'Point',
'coordinates': [star_az, star_alt],
},
'type': 'Feature',
'properties': {
'mag': 1.337
}
} for star_az, star_alt in star_data(STARS, location, t)]
})
def setup(self):
super().setup()
# setup the skyfield objects
planets = skyfield_api.load('de421.bsp')
earth = planets['earth']
self._skyfield_sun = planets['sun']
self._skyfield_position = earth + skyfield_api.Topos(**self.position)
def __init__(self, name, tle, location):
self.name = name.strip()
self.tle = tle
self.timezone = timezone("Etc/UTC")
current_time = datetime.datetime.utcnow()
lat = location.split(",")[0].strip()
lon = location.split(",")[1].strip()
self.sats = api.load.tle('temp_tle.txt')
self.sat = self.sats[self.name]
minutes = range(60 * 24 * 2)
ts = api.load.timescale()
self.t = ts.utc(current_time.year, current_time.month,
current_time.day, current_time.hour, minutes)
place = api.Topos(latitude=lat, longitude=lon)
orbit = (self.sat - place).at(self.t)
self.alt, self.az, distance = orbit.altaz()
above_horizon = self.alt.degrees > 0
boundaries, = np.diff(above_horizon).nonzero()
self.passes = boundaries.reshape(len(boundaries) // 2, 2)
self.pass_times = []
for p in range(len(self.passes)):
i, j = self.passes[p]
azimuth = self.az.degrees
altitude = self.alt.degrees
azimuth = int(max(azimuth[i:j]))
altitude = int(max(altitude[i:j]))
rise = str(self.t[i].astimezone(self.timezone))[:-6]
sets = str(self.t[j].astimezone(
self.timezone))[:-6] + "-> " + str(altitude) + "°"
self.pass_times.append(rise + " - " + sets)
def _compute_loc_sunset(input_str):
geolocator = Nominatim(user_agent='sunset_app', timeout=3)
geoloc = geolocator.geocode(input_str)
lat, lon = geoloc.latitude, geoloc.longitude
loc = api.Topos('{0} N'.format(lat), '{0} E'.format(lon))
t0 = ts.utc(2020, 7, 1)
t1 = ts.utc(2021, 7, 1)
t, y = almanac.find_discrete(t0, t1, almanac.sunrise_sunset(e, loc))
df = pd.DataFrame({'datetime': t.utc_iso(), 'sun_down': y})
df['datetime'] = pd.to_datetime(df['datetime'])
tz = GeoNames(username='******').reverse_timezone(
(geoloc.latitude, geoloc.longitude))
try:
df['datetime'] = df['datetime'].dt.tz_localize('utc').dt.tz_convert(
tz.pytz_timezone)
except TypeError:
df['datetime'] = df['datetime'].dt.tz_convert(tz.pytz_timezone)
df['date'] = df['datetime'].dt.date
df['time'] = df['datetime'].dt.time
df['hour'] = (df['time'].astype(str).str.split(
':', expand=True).astype(int).apply(
lambda row: row[0] + row[1] / 60. + row[2] / 3600., axis=1))
df['hour_24'] = 240
df['daylight'] = np.abs(df['hour'].diff().shift(-1))
return df, geoloc
def testSunrise(self):
timisoaraLoc = api.Topos('45.4758 N', '21.1738 E')
t0 = ts.utc(2018, 9, 12, 4)
t1 = ts.utc(2018, 9, 13, 4)
t, y = almanac.find_discrete(t0, t1, almanac.sunrise_sunset(eph, timisoaraLoc))
print("****************")
print(t.utc_iso())
print(y)
def test_boston_geometry():
k = Kernel(download(de430_url))
jd = api.JulianDate(tdb=(2015, 3, 2), delta_t=67.185390 + 0.5285957)
boston = api.Topos((42, 21, 24.1), (-71, 3, 24.8), x=0.003483, y=0.358609)
a = boston.geometry_of(k.earth).at(jd)
compare(a.position.km, [
-1.764697476371664E+02, -4.717131288041386E+03, -4.274926422016179E+03
], 0.0027) # TODO: try to get this < 1 meter
def compute(target,
kernel=de421,
name=None,
topo=None,
t=None,
planet=None,
precision_radec=3,
precision_azalt=5,
klass=None,
json=None):
ts = sf.load.timescale()
if isinstance(target, str):
name = target
target = kernel[target]
if topo is None:
topo = ['33.7490 N', '84.3880 W'] # Atlanta.
topo = sf.Topos(*topo)
if t is None:
t = [2019, 9, 6, 17, 0, 0]
t = ts.utc(*t)
if name is None:
name = target.target_name
if planet is None and isinstance(target.target, int):
planet = target.target
earth = de421['earth']
obs = (earth + topo).at(t)
pos = obs.observe(target) # Astrometric position
apparent = obs.observe(target).apparent() # Apparent position
geo = earth.at(t).observe(target)
radec = apparent.radec(epoch='date')
altaz = pos.apparent().altaz()
# skyfield use JD, ephemeride uses Modified JD.
ut1 = t.ut1 - 2400000.5
utc = ut1 - t.dut1 / (60 * 60 * 24)
ret = dict(
name=name,
planet=planet,
ut1=ut1,
utc=utc,
longitude=topo.longitude.degrees,
latitude=topo.latitude.degrees,
pos=list(apparent.position.au),
ra=radec[0]._degrees,
dec=radec[1].degrees,
alt=altaz[0].degrees,
az=altaz[1].degrees,
geo=list(geo.position.au),
precision_radec=precision_radec,
precision_azalt=precision_azalt,
)
if json is not None:
ret['klass'] = klass
ret['json'] = json
return ret
def test_moon_from_boston_geometry():
k = Kernel(download(de430_url))
jd = api.JulianDate(tdb=(2015, 3, 2), delta_t=67.185390 + 0.5285957)
boston = api.Topos((42, 21, 24.1), (-71, 3, 24.8), x=0.003483, y=0.358609)
a = boston.geometry_of(k.moon).at(jd)
compare(
a.position.au,
[-1.341501206552443E-03, 2.190483327459023E-03, 6.839177007993498E-04],
1.7 * meter) # TODO: improve this
def test_moon_from_boston_astrometric():
k = Kernel(download(de430_url))
jd = api.JulianDate(tdb=(2015, 3, 2), delta_t=67.185390 + 0.5285957)
boston = api.Topos((42, 21, 24.1), (-71, 3, 24.8), x=0.003483, y=0.358609)
a = boston.observe(k.moon).at(jd)
ra, dec, distance = a.radec()
compare(ra._degrees, 121.4796470, 0.001 * arcsecond)
compare(dec.degrees, 14.9108450, 0.001 * arcsecond)
compare(distance.au, 0.00265828588792, 1.4 * meter) # TODO: improve this
def test_sunrise_sunset():
ts = api.load.timescale()
t0 = ts.utc(2018, 9, 12, 4)
t1 = ts.utc(2018, 9, 13, 4)
e = api.load('de421.bsp')
bluffton = api.Topos('40.8939 N', '83.8917 W')
t, y = almanac.find_discrete(t0, t1, almanac.sunrise_sunset(e, bluffton))
strings = t.utc_strftime('%Y-%m-%d %H:%M')
assert strings == ['2018-09-12 11:13', '2018-09-12 23:50']
assert (y == (1, 0)).all()
def test_itrf_vector():
ts = api.load.timescale(builtin=True)
t = ts.utc(2019, 11, 2, 3, 53)
top = api.Topos(latitude_degrees=45,
longitude_degrees=0,
elevation_m=constants.AU_M - constants.ERAD)
x, y, z = top.at(t).itrf_xyz().au
assert abs(x - 0.7071) < 1e-4
assert abs(y - 0.0) < 1e-14
assert abs(z - 0.7071) < 1e-4
def test_sat_almanac_Tricky():
# Various tricky satellites
# Integral: 3 days high eccentricity.
# ANIK-F1R Geo always visible from Boston
# PALAPA D Geo never visible from Boston
# Ariane 5B GTO
# Swift Low-inclination LEO never visible from Boston
# Grace-FO 2 Low polar orbit
tles = """\
INTEGRAL
1 27540U 02048A 20007.25125384 .00001047 00000-0 00000+0 0 9992
2 27540 51.8988 127.5680 8897013 285.8757 2.8911 0.37604578 17780
ANIK F-1R
1 28868U 05036A 20011.46493281 -.00000066 00000-0 00000+0 0 9999
2 28868 0.0175 50.4632 0002403 284.1276 195.8977 1.00270824 52609
PALAPA D
1 35812U 09046A 20008.38785173 -.00000341 +00000-0 +00000-0 0 9999
2 35812 000.0518 095.9882 0002721 218.8296 045.1595 01.00269700038098
Ariane 5B
1 44802U 19080C 20010.68544515 .00001373 00000-0 27860-3 0 9997
2 44802 5.1041 192.7327 7266711 217.6622 57.0965 2.30416801 1028
Swift
1 28485U 04047A 20010.76403232 +.00000826 +00000-0 +25992-4 0 9999
2 28485 020.5579 055.7027 0010957 208.9479 151.0347 15.04516653829549
GRACE-FO 2
1 43477U 18047B 20011.66650462 +.00000719 00000-0 +29559-4 0 08
2 43477 88.9974 159.0391 0019438 141.4770 316.8932 15.23958285 91199
""".splitlines()
expected = {
'INTEGRAL': 36,
'ANIK F-1R': 14,
'PALAPA D': 0,
'Ariane 5B': 36,
'Swift': 0,
'GRACE-FO 2': 90
}
for iline0 in range(0, len(tles) - 3, 3):
sat = api.EarthSatellite(tles[1 + iline0].strip(),
tles[2 + iline0].strip(),
name=tles[iline0].strip())
topos = api.Topos('42.3581 N', '71.0636 W') # Boston
timescale = api.load.timescale()
t0 = timescale.tai(2020, 1, 1)
t1 = timescale.tai(2020, 1, 15)
horizon = 20
nexpected = expected[sat.name]
times, yis = almanac.find_satellite_events(t0,
t1,
sat,
topos,
horizon=20)
assert (verify_sat_almanac(times, yis, sat, topos, horizon, nexpected))
def test_is_sunlit():
# Yes, a positionlib method; but it made sense to test it here.
ts = api.load.timescale()
t = ts.utc(2018, 7, 3, 0, range(0, 60, 10))
s = EarthSatellite(*iss_tle0.splitlines())
eph = load('de421.bsp')
expected = [True, False, False, False, True, True]
assert list(s.at(t).is_sunlit(eph)) == expected
# What if we observe from a topos rather than the geocenter?
topos = api.Topos('40.8939 N', '83.8917 W')
assert list((s - topos).at(t).is_sunlit(eph)) == expected
def test_dark_twilight_day():
ts = api.load.timescale()
t0 = ts.utc(2019, 11, 8, 4)
t1 = ts.utc(2019, 11, 9, 4)
e = api.load('de421.bsp')
defiance = api.Topos('41.281944 N', '84.362778 W')
t, y = almanac.find_discrete(t0, t1, almanac.dark_twilight_day(e, defiance))
strings = t.utc_strftime('%Y-%m-%d %H:%M')
assert strings == [
'2019-11-08 10:42', '2019-11-08 11:15', '2019-11-08 11:48',
'2019-11-08 12:17', '2019-11-08 22:25', '2019-11-08 22:54',
'2019-11-08 23:27', '2019-11-08 23:59',
]
assert (y == (1, 2, 3, 4, 3, 2, 1, 0)).all()
def sunrise_sunset():
e = api.load('de421.bsp')
ts = api.load.timescale()
bluffton = api.Topos('65.02 N', '25.47 E') # Oulu coordinates
t0 = ts.utc(2019, 3, 1, 0)
t1 = ts.utc(2019, 4, 1, 0)
t, y = almanac.find_discrete(t0, t1, almanac.sunrise_sunset(e, bluffton))
sunrises = np.array(
t.utc_iso()[::2]) # gets every element which index is even
sunsets = np.array(
t.utc_iso()[1::2]) # gets every element which index is odd
# sunrises_sunsets = pd.DataFrame({'sunrises':sunrises, 'sunsets':sunsets})
return sunrises, sunsets
def test_iss_altitude_with_gcrs_vector_subtraction(iss_transit):
dt, their_altitude = iss_transit
cst = timedelta(hours=-6) #, minutes=1)
dt = dt - cst
t = api.load.timescale(delta_t=67.2091).utc(dt)
lines = iss_tle.splitlines()
s = EarthSatellite(lines[1], lines[2], lines[0])
lake_zurich = api.Topos(latitude_degrees=42.2, longitude_degrees=-88.1)
alt, az, d = (s - lake_zurich).at(t).altaz()
print(dt, their_altitude, alt.degrees, their_altitude - alt.degrees)
assert abs(alt.degrees - their_altitude) < 2.5 # TODO: tighten this up?
def test_iss_altitude_computed_with_gcrs(iss_transit):
dt, their_altitude = iss_transit
cst = timedelta(hours=-6) #, minutes=1)
dt = dt - cst
jd = Timescale(delta_t=67.2091).utc(dt)
lines = iss_tle.splitlines()
s = EarthSatellite(lines, None)
lake_zurich = api.Topos(latitude_degrees=42.2, longitude_degrees=-88.1)
alt, az, d = lake_zurich.at(jd).observe(s).altaz()
print(dt, their_altitude, alt.degrees, their_altitude - alt.degrees)
assert abs(alt.degrees - their_altitude) < 2.5 # TODO: tighten this up?
def find_sunrise(n=1):
"""
Search the almanac for sunrise and sunset times in the next 24 hours.
Does not actually compute the times.
It looks them up in the precomputed ephemeris files provided by the JPL.
Sunrise times are 'True', Sunset times are 'False'. Times are UTC.
"""
ts = api.load.timescale()
ep = api.load('de421.bsp')
location = api.Topos('41.85 N', '87.65 W') # Chicago, USA
t0 = ts.now()
t1 = ts.utc(t0.utc_datetime() + timedelta(days=n))
t, y = almanac.find_discrete(t0, t1, almanac.sunrise_sunset(ep, location))
times = list(zip(t.utc_iso(), y))
print(times)
def _risesetextremes(lat, lon, tzstr, startYear, years, verbose=False):
ts = api.load.timescale()
load = api.Loader('/var/data')
e = load('de430t.bsp')
# earth = planets['earth']
tz = timezone(tzstr)
bluffton = api.Topos(lat, lon)
t0 = ts.utc(startYear, 1, 1)
t1 = ts.utc(startYear+years, 1, 1)
t, y = almanac.find_discrete(t0, t1, almanac.sunrise_sunset(e, bluffton))
if verbose: print ('done')
result = dict()
prevrise = None
for ti, yi in zip(t, y):
dt, _ = ti.astimezone_and_leap_second(tz)
if yi:
x = 'rise'
else:
x = 'set'
year = str(dt.year)
if year not in result.keys():
result[year] = {'rises': [],
'rise_hr': [],
'sets': [],
'set_hr': [],
'sunlight': []
}
hrs = dt.hour + dt.minute/60.0 + dt.second/3600.0
result[year][f"{x}s"].append(dt)
result[year][f"{x}_hr"].append(hrs)
if yi:
prevrise = ti
else:
if prevrise is not None:
result[year]['sunlight'].append((ti - prevrise)*24.0)
return result
def do_skyfield(utcnow):
global ephi
my_place = sfa.Topos(config['location']['longitude'], config['location']['latitude'])
t0 = ts.utc(utcnow.year, utcnow.month, utcnow.day, utcnow.hour, utcnow.minute, utcnow.second)
utcnow = utcnow + datetime.timedelta(hours=24)
t1 = ts.utc(utcnow.year, utcnow.month, utcnow.day, utcnow.hour, utcnow.minute, utcnow.second)
t, y = sf.almanac.find_discrete(t0, t1, sf.almanac.sunrise_sunset(ephi, my_place))
for ti, yi in zip(t, y):
x1 = (ti.utc_datetime()).replace(tzinfo=tz.tzutc())
x1 = x1.astimezone(tz.tzlocal())
if yi:
ev = (x1.hour, x1.minute, 'Sunshine', 'True')
else:
ev = (x1.hour, x1.minute, 'Sunshine', 'False')
logging.info("New event: %s" % str(ev))
daily_events.append(ev)
def test_cirs_era():
ts = api.load.timescale()
st = ts.utc(year=np.arange(1951, 2051))
planets = api.load('de421.bsp')
pos = planets['earth'] + api.Topos(longitude_degrees=0.0, latitude_degrees=0.0)
# Get the TIO
tio = pos.at(st).from_altaz(alt_degrees=90, az_degrees=180)
# Get the TIOs RA in CIRS coordinates, and the Earth Rotation Angle
tio_ra, tio_dec, _ = tio.cirs_radec(st)
era = 360.0 * earth_rotation_angle(st.ut1)
tol = (1e-8 / 3600.0) # 10 nano arc-second precision
assert np.allclose(tio_ra._degrees, era, rtol=0.0, atol=tol)
assert np.allclose(tio_dec._degrees, 0.0, rtol=0.0, atol=tol)
def test_sat_almanac_LEO():
# Testcase from
# https://github.com/skyfielders/astronomy-notebooks/blob/master/Solvers/Earth-Satellite-Passes.ipynb
# with elevated horizon
tle = ["TIANGONG 1",
"1 37820U 11053A 14314.79851609 .00064249 00000-0 44961-3 0 5637",
"2 37820 42.7687 147.7173 0010686 283.6368 148.1694 15.73279710179072"]
sat = api.EarthSatellite(*tle[1:3], name=tle[0])
topos = api.Topos('42.3581 N', '71.0636 W')
timescale = api.load.timescale()
t0 = timescale.tai(2014, 11, 10)
t1 = timescale.tai(2014, 11, 11)
horizon = 20
nexpected = 12
#times, yis = almanac.find_satellite_events(t0, t1, sat, topos, horizon=20)
times, yis = sat.find_passes(topos, t0, t1, 20.0)
assert(verify_sat_almanac(times, yis, sat, topos, horizon, nexpected))
def test_cirs_meridian():
ts = api.load.timescale()
st = ts.utc(year=2051)
planets = api.load('de421.bsp')
pos = planets['earth'] + api.Topos(longitude_degrees=0.0, latitude_degrees=0.0)
# Get a series of points along the meridian
alt = np.arange(1, 90)
meridian = pos.at(st).from_altaz(alt_degrees=alt, az_degrees=0.0)
# Get the TIOs RA in CIRS coordinates, and the Earth Rotation Angle
md_ra, md_dec, _ = meridian.cirs_radec(st)
era = 360.0 * earth_rotation_angle(st.ut1)
tol = (1e-7 / 3600.0) # 100 nano arc-second precision
assert np.allclose(md_ra._degrees, era, rtol=0.0, atol=tol)
assert np.allclose(md_dec._degrees, 90 - alt, rtol=0.0, atol=tol)
def sunrise_sunset(lat, lon):
place = api.Topos(lat, lon)
one_day = timedelta(days=1)
start = datetime.today().astimezone().replace(hour=0,
minute=0,
second=0,
microsecond=0)
end = start + one_day
start = ts.utc(start)
end = ts.utc(end)
srss, sross = almanac.find_discrete(start, end,
almanac.sunrise_sunset(ephem, place))
tz = datetime.now().astimezone().tzinfo
(sr, ss) = srss.astimezone(tz)
t0_time = sr.strftime('%H%M')
t0_srss = "SR" if sross[0] else "SS"
t1_time = ss.strftime('%H%M')
t1_srss = "SR" if sross[1] else "SS"
return f"{t0_srss}{t0_time} {t1_srss}{t1_time}"
def get_sunrise_sunset_times():
pownal = api.Topos('43.921554 N', '70.147969 W')
ts = api.load.timescale(builtin=True)
eph = api.load_file(settings.SKYFIELD_DATA_PATH)
now = datetime.now().astimezone()
today_start = datetime(now.year, now.month, now.day).astimezone()
today_end = today_start + timedelta(days=1)
today_start_ts = ts.utc(today_start)
today_end_ts = ts.utc(today_end)
traversals, is_sunrise = almanac.find_discrete(
today_start_ts, today_end_ts, almanac.sunrise_sunset(eph, pownal))
# If there are multiple sunrises in a day then we have bigger problems than opening the coop door at the right time
sunrise_iso = traversals[0].utc_iso(
) if is_sunrise[0] else traversals[1].utc_iso()
sunset_iso = traversals[1].utc_iso(
) if not is_sunrise[1] else traversals[0].utc_iso()
sunrise_dtm = datetime.strptime(
sunrise_iso,
'%Y-%m-%dT%H:%M:%SZ').replace(tzinfo=timezone.utc).astimezone()
sunset_dtm = datetime.strptime(
sunset_iso,
'%Y-%m-%dT%H:%M:%SZ').replace(tzinfo=timezone.utc).astimezone()
return (sunrise_dtm, sunset_dtm)
def is_light():
"""is_light returns True if the sun is up and False otherwise"""
# load in data directory to avoid redownloading
loader = Loader('~/skyfield_data')
ts = loader.timescale()
e = loader('de421.bsp')
# set current location (melbourne does not appear in the default list)
melbourne = api.Topos('37.951910 S', '145.152080 E')
# get current time in UTC format
now = datetime.datetime.utcnow()
now = now.replace(tzinfo=utc)
# set the interval for now and 24 hours from now
t0 = ts.utc(now)
t1 = ts.utc(now + timedelta(hours=24))
# find the times and types of event (sunrise/sunset)
t, y = almanac.find_discrete(t0, t1, almanac.sunrise_sunset(e, melbourne))
#y[0] = True for sunrise (which means it is currently dark)
light = not y[0]
return light
default=-60,
help="Threshold to identify the peaks")
parser.add_argument("--num_checks",
type=int,
default=10,
help="How many time offsets to use")
parser.add_argument(
"--error",
type=float,
default=0.02,
help="The allowed error rate betwe recovred and caculated PWM")
args = parser.parse_args()
# Starfield Globals
SATELLITES = sf.load.tle_file(args.db)
GROUND_CONTROL = sf.Topos(latitude_degrees=args.latitude,
longitude_degrees=args.longitude)
ts = sf.load.timescale()
# Configuration data
THRESHOLD = args.threshold
SAMPLES_PER_CYCLE = args.samples_per_cycle
TIME_PER_CYCLE = SAMPLES_PER_CYCLE / args.sample_rate
PWM_MIN = 0.03 # from the README.txt
PWM_MAX = 0.35
# read in all the samples
def file_size(fp):
return os.fstat(fp.fileno()).st_size