def get_panchaanga_for_given_dates(
city,
start_date,
end_date,
precomputed_json_dir="~/Documents/jyotisha",
computation_system: ComputationSystem = None,
allow_precomputed=True):
fname = os.path.expanduser('%s/%s__%s-%s__%s.json' %
(precomputed_json_dir, city.name, start_date,
end_date, computation_system))
if os.path.isfile(fname) and allow_precomputed:
fn = lambda: get_panchaanga_for_given_dates(
city=city,
start_date=start_date,
end_date=end_date,
precomputed_json_dir=precomputed_json_dir,
computation_system=computation_system,
allow_precomputed=False)
panchaanga = load_panchaanga(fname=fname, fallback_fn=fn)
return panchaanga
else:
logging.info(
'No precomputed data available or allowed. Computing panchaanga...\n'
)
panchaanga = periodical.Panchaanga(
city=city,
start_date=start_date,
end_date=end_date,
computation_system=computation_system)
logging.info('Writing computed panchaanga to %s...\n' % fname)
panchaanga.dump_to_file(filename=fname)
return panchaanga
def get_panchaanga_for_shaka_year(city,
year,
precomputed_json_dir="~/Documents/jyotisha",
computation_system: ComputationSystem = None,
allow_precomputed=True):
fname = os.path.expanduser(
'%s/%s__shaka_%s__%s.json' %
(precomputed_json_dir, city.name, year, computation_system))
if os.path.isfile(fname) and allow_precomputed:
fn = lambda: get_panchaanga_for_shaka_year(
city=city,
year=year,
precomputed_json_dir=precomputed_json_dir,
computation_system=computation_system,
allow_precomputed=False)
panchaanga = load_panchaanga(fname=fname, fallback_fn=fn)
# Fest repos to be used might have changed in this call.
panchaanga.computation_system = computation_system
panchaanga.update_festival_details()
return panchaanga
else:
logging.info(
'No precomputed data available. Computing panchaanga...\n')
SHAKA_CIVIL_ERA_DIFF = 78
start_year_civil = year + era.get_year_0_offset(era_id=era.ERA_SHAKA)
anga_span_finder = AngaSpanFinder.get_cached(
ayanaamsha_id=Ayanamsha.ASHVINI_STARTING_0,
anga_type=AngaType.SIDEREAL_MONTH)
start_equinox = anga_span_finder.find(jd1=time.utc_gregorian_to_jd(
Date(year=start_year_civil, month=3, day=1)),
jd2=time.utc_gregorian_to_jd(
Date(year=start_year_civil,
month=5,
day=1)),
target_anga_id=1)
end_equinox = anga_span_finder.find(jd1=time.utc_gregorian_to_jd(
Date(year=start_year_civil + 1, month=3, day=1)),
jd2=time.utc_gregorian_to_jd(
Date(year=start_year_civil + 1,
month=5,
day=1)),
target_anga_id=1)
tz = Timezone(city.timezone)
panchaanga = periodical.Panchaanga(
city=city,
start_date=tz.julian_day_to_local_time(
julian_day=start_equinox.jd_start),
end_date=tz.julian_day_to_local_time(
julian_day=end_equinox.jd_start),
computation_system=computation_system)
panchaanga.year = year
# Festival data may be updated more frequently and a precomputed panchaanga may go out of sync. Hence we keep this method separate.
logging.info('Writing computed panchaanga to %s...\n' % fname)
try:
panchaanga.dump_to_file(filename=fname)
except EnvironmentError:
logging.warning("Not able to save.")
logging.error(traceback.format_exc())
return panchaanga
def get_panchaanga_for_civil_year(city,
year,
precomputed_json_dir="~/Documents/jyotisha",
computation_system: ComputationSystem = None,
allow_precomputed=True):
fname = os.path.expanduser(
'%s/%s__gregorian_%s__%s.json' %
(precomputed_json_dir, city.name, year, computation_system))
if os.path.isfile(fname) and allow_precomputed:
fn = lambda: get_panchaanga_for_civil_year(
city=city,
year=year,
precomputed_json_dir=precomputed_json_dir,
computation_system=computation_system,
allow_precomputed=False)
panchaanga = load_panchaanga(fname=fname, fallback_fn=fn)
return panchaanga
else:
logging.info(
'No precomputed data available. Computing panchaanga...\n')
panchaanga = periodical.Panchaanga(
city=city,
start_date='%d-01-01' % year,
end_date='%d-12-31' % year,
computation_system=computation_system)
panchaanga.year = year
logging.info('Writing computed panchaanga to %s...\n' % fname)
panchaanga.dump_to_file(filename=fname)
return panchaanga
def test_daily_solar_viSukkaNi(): computation_system = ComputationSystem.DEFAULT panchaanga = periodical.Panchaanga(city=chennai, start_date=Date(2018, 4, 14), end_date=Date(2018, 4, 15), computation_system=computation_system) assert "viSukkan2i" not in panchaanga.date_str_to_panchaanga[Date(2018, 4, 14).get_date_str()].festival_id_to_instance assert "viSukkan2i" in panchaanga.date_str_to_panchaanga[Date(2018, 4, 15).get_date_str()].festival_id_to_instance.keys()
def get_panchaanga_for_civil_year(city,
year,
precomputed_json_dir="~/Documents/jyotisha",
computation_system: ComputationSystem = None,
allow_precomputed=True):
fname = os.path.expanduser('%s/%s-%s.json' %
(precomputed_json_dir, city.name, year))
if os.path.isfile(fname) and allow_precomputed:
fn = lambda: get_panchaanga_for_civil_year(
city=city,
year=year,
precomputed_json_dir=precomputed_json_dir,
computation_system=computation_system,
allow_precomputed=False)
return load_panchaanga(fname=fname, fallback_fn=fn)
else:
logging.info(
'No precomputed data available. Computing panchaanga...\n')
panchaanga = periodical.Panchaanga(
city=city,
start_date='%d-01-01' % year,
end_date='%d-12-31' % year,
computation_system=computation_system)
panchaanga.year = year
logging.info('Writing computed panchaanga to %s...\n' % fname)
panchaanga.dump_to_file(filename=fname)
# Save without festival details
# Festival data may be updated more frequently and a precomputed panchaanga may go out of sync. Hence we keep this method separate.
panchaanga.update_festival_details()
return panchaanga
def test_periodic_solar_mUDavaN_muLukku():
computation_system = ComputationSystem.DEFAULT
panchaanga = periodical.Panchaanga(city=chennai,
start_date=Date(2018, 11, 14),
end_date=Date(2018, 11, 20),
computation_system=computation_system)
assert "muDavan2 muzhukku" in panchaanga.date_str_to_panchaanga[Date(
2018, 11, 17).get_date_str()].festival_id_to_instance
assert "muDavan2 muzhukku" not in panchaanga.date_str_to_panchaanga[Date(
2018, 11, 18).get_date_str()].festival_id_to_instance
def test_orinda_ca_dst_2019():
city = City('Orinda', '37:51:38', '-122:10:59', 'America/Los_Angeles')
panchaanga = periodical.Panchaanga(city=city,
start_date=Date(2019, 1, 1),
end_date=Date(2019, 5, 1))
# March 10 is the 69th day of the year (70th in leap years) in the Gregorian calendar.
# Sunrise on that day is around 7:27 AM according to Google, which is JD 2458553.14375 according to https://ssd.jpl.nasa.gov/tc.cgi#top .
# We use the index 70 below as the annual panchaanga object seems to use the index d + 1.
assert round(
panchaanga.daily_panchaangas_sorted()[panchaanga.duration_prior_padding
+ 69].jd_sunrise,
ndigits=4) == round(2458554.104348237,
ndigits=4) # 2019-Mar-10 07:30:15.68
def get_panchaanga_for_kali_year(city,
year,
precomputed_json_dir="~/Documents/jyotisha",
computation_system: ComputationSystem = None,
allow_precomputed=True,
recompute_festivals=True):
year = int(year)
fname = os.path.expanduser(
'%s/%s__kali_%s__%s.json' %
(precomputed_json_dir, city.name, year, computation_system))
if os.path.isfile(fname) and allow_precomputed:
fn = lambda: get_panchaanga_for_kali_year(
city=city,
year=year,
precomputed_json_dir=precomputed_json_dir,
computation_system=computation_system,
allow_precomputed=False)
panchaanga = load_panchaanga(fname=fname, fallback_fn=fn)
# Fest repos to be used might have changed in this call.
panchaanga.computation_system = computation_system
if recompute_festivals:
panchaanga.update_festival_details()
return panchaanga
else:
logging.info(
'No precomputed data available or allowed. Computing panchaanga...\n'
)
start_year_civil = year - era.get_year_0_offset(era_id=era.ERA_KALI)
anga_span_finder = AngaSpanFinder.get_cached(
ayanaamsha_id=Ayanamsha.CHITRA_AT_180,
anga_type=AngaType.SIDEREAL_MONTH)
start_mesha = anga_span_finder.find(jd1=time.utc_gregorian_to_jd(
Date(year=start_year_civil, month=3, day=1)),
jd2=time.utc_gregorian_to_jd(
Date(year=start_year_civil,
month=5,
day=1)),
target_anga_id=1)
jd_next_sunset_start_mesha = city.get_setting_time(
julian_day_start=start_mesha.jd_start, body=Graha.SUN)
end_mina = anga_span_finder.find(jd1=time.utc_gregorian_to_jd(
Date(year=start_year_civil + 1, month=3, day=1)),
jd2=time.utc_gregorian_to_jd(
Date(year=start_year_civil + 1,
month=5,
day=1)),
target_anga_id=1)
jd_preceding_sunset_end_mina = city.get_setting_time(
julian_day_start=end_mina.jd_start - 1, body=Graha.SUN)
tz = Timezone(city.timezone)
panchaanga = periodical.Panchaanga(
city=city,
start_date=tz.julian_day_to_local_time(
julian_day=jd_next_sunset_start_mesha),
end_date=tz.julian_day_to_local_time(
julian_day=jd_preceding_sunset_end_mina),
computation_system=computation_system)
panchaanga.year = year
# Festival data may be updated more frequently and a precomputed panchaanga may go out of sync. Hence we keep this method separate.
logging.info('Writing computed panchaanga to %s...\n' % fname)
try:
panchaanga.dump_to_file(filename=fname)
except EnvironmentError:
logging.warning("Not able to save.")
logging.error(traceback.format_exc())
return panchaanga