def find(self, start: int, stop: int, aei_paths: tuple):
"""Analyze resonances for pointed half-interval of numbers of asteroids. It gets resonances
aggregated to asteroids. Computes resonant phase by orbital elements from prepared aei files
of three bodies (asteroid and two planets). After this it finds circulations in vector of
resonant phases and solves, based in circulations, libration does exists or no.
:param aei_paths:
:param start: start point of half-interval.
:param stop: stop point of half-interval. It will be excluded.
:return:
"""
orbital_element_sets = None
pathbuilder = FilepathBuilder(aei_paths, self._is_recursive, self._clear_s3)
filepaths = [pathbuilder.build('%s.aei' % x) for x in self._planets]
try:
orbital_element_sets = build_bigbody_elements(filepaths)
except AEIValueError:
logging.error('Incorrect data in %s' % ' or in '.join(filepaths))
exit(-1)
aei_getter = AEIDataGetter(pathbuilder, self._clear)
classifier = LibrationClassifier(self._is_current, BodyNumberEnum(len(self._planets) + 1))
phase_builder = PhaseBuilder(self._phase_storage)
p_bar = None
if self._is_verbose:
p_bar = ProgressBar((stop + 1 - start), 'Find librations')
asteroid_name = None
for resonance, aei_data in get_aggregated_resonances(start, stop, False, self._planets,
aei_getter):
if self._is_verbose and asteroid_name != resonance.small_body.name:
p_bar.update()
asteroid_name = resonance.small_body.name
broken_asteroid_mediator = _BrokenAsteroidMediator(asteroid_name)
if broken_asteroid_mediator.check():
continue
logging.debug('Analyze asteroid %s, resonance %s' % (asteroid_name, resonance))
resonance_id = resonance.id
classifier.set_resonance(resonance)
orbital_elem_set_facade = ResonanceOrbitalElementSetFacade(orbital_element_sets,
resonance)
try:
serialized_phases = phase_builder.build(aei_data, resonance_id,
orbital_elem_set_facade)
except AEIValueError:
broken_asteroid_mediator.save()
continue
classifier.classify(orbital_elem_set_facade, serialized_phases)
session.flush()
session.commit()
def genres(asteroid_number: int, integers: List[int], filepaths: List[str], planets: Tuple):
t1 = aliased(Planet)
t2 = aliased(Planet)
cond = len(integers) == 3
resonance_cls = ThreeBodyResonance if cond else TwoBodyResonance
query = (
session.query(resonance_cls).outerjoin(t1, t1.id == resonance_cls.first_body_id).filter(t1.name == planets[0])
)
if cond:
query = query.outerjoin(t2, t2.id == resonance_cls.second_body_id).filter(t2.name == planets[1])
query = query.outerjoin(Asteroid, Asteroid.id == resonance_cls.small_body_id).filter(
Asteroid.name == "A%i" % asteroid_number
)
resonance = query.first()
if not resonance:
logging.warning("There is no resonance by pointed filter.")
return
resonance_id = resonance.id
phase_storage = PhaseStorage.file
phase_builder = PhaseBuilder(phase_storage)
phase_loader = PhaseLoader(phase_storage)
phase_cleaner = PhaseCleaner(phase_storage)
print("Loading aei files.")
builder = FilepathBuilder(filepaths, True)
planet_aei_paths = [builder.build("%s.aei" % x) for x in planets]
resmaker = ResfileMaker(planets, planet_aei_paths)
getter = AEIDataGetter(builder)
orbital_element_sets = build_bigbody_elements(planet_aei_paths)
orbital_elem_set_facade = ResonanceOrbitalElementSetFacade(orbital_element_sets, resonance)
aei_data = getter.get_aei_data(asteroid_number)
phase_builder.build(aei_data, resonance_id, orbital_elem_set_facade)
phases = phase_loader.load(resonance_id)
folder = opjoin(getcwd(), "res")
if not exists(folder):
mkdir(folder)
resmaker.make(
phases,
aei_data,
opjoin(folder, "A%i_%s_%s.res" % (asteroid_number, "_".join(planets), "_".join([str(x) for x in integers]))),
)
phase_cleaner.delete(resonance_id)
def plot(start: int, stop: int, phase_storage: PhaseStorage, for_librations: bool,
integers: List[str], aei_paths: Tuple[str, ...], is_recursive: bool, planets: Tuple[str],
output: str, build_phases: bool):
is_s3 = _is_s3(output)
is_tar = _is_tar(output)
tarf = None
s3_bucket_key = None
if is_tar:
output_dir = opjoin(PROJECT_DIR, '.output')
else:
output_dir = output
if is_s3:
if not is_tar:
logging.error('You must point tar archive in AWS S3 bucket.')
exit(-1)
output = opjoin(PROJECT_DIR, os.path.basename(output))
s3_bucket_key = create_aws_s3_key(CONFIG['s3']['access_key'],
CONFIG['s3']['secret_key'],
CONFIG['s3']['bucket'], output)
output_images = opjoin(output_dir, CONFIG['output']['images'])
output_res_path = opjoin(output_dir, CONFIG['output']['angle'])
output_gnu_path = opjoin(output_dir, CONFIG['output']['gnuplot'])
pathbuilder = FilepathBuilder(aei_paths, is_recursive)
planet_aei_paths = [pathbuilder.build('%s.aei' % x) for x in planets]
resmaker = ResfileMaker(planets, planet_aei_paths)
if not os.path.exists(output_images):
os.makedirs(output_images)
if not os.path.exists(output_gnu_path):
os.makedirs(output_gnu_path)
phase_builder = PhaseBuilder(phase_storage)
orbital_element_sets = None
if build_phases:
orbital_element_sets = build_bigbody_elements(planet_aei_paths)
phase_loader = PhaseLoader(phase_storage)
aei_getter = AEIDataGetter(pathbuilder)
if is_tar:
tarf = tarfile.open(output, 'w')
for resonance, aei_data in get_aggregated_resonances(start, stop, for_librations, planets,
aei_getter, integers):
if build_phases:
orbital_elem_set_facade = ResonanceOrbitalElementSetFacade(
orbital_element_sets, resonance)
phase_builder.build(aei_data, resonance.id, orbital_elem_set_facade)
phases = phase_loader.load(resonance.id)
apocentric_phases = [cutoff_angle(x + pi) for x in phases]
res_filepath = opjoin(output_res_path, 'A%i_%i.res' %
(resonance.asteroid_number, resonance.id))
gnu_filepath = opjoin(output_gnu_path, 'A%i_%i.gnu' %
(resonance.asteroid_number, resonance.id))
title = 'Asteroid %i %s %s' % (resonance.asteroid_number, str(resonance), ' '.join(planets))
resmaker.make(phases, aei_data, res_filepath)
png_path = opjoin(PROJECT_DIR, output_images, 'A%i-res%i%s.png' % (
resonance.asteroid_number, resonance.id, ''))
make_plot(res_filepath, gnu_filepath, png_path, title)
if is_tar:
tarf.add(png_path, arcname=os.path.basename(png_path))
resmaker.make(apocentric_phases, aei_data, res_filepath)
png_path = opjoin(PROJECT_DIR, output_images, 'A%i-res%i%s.png' % (
resonance.asteroid_number, resonance.id, '-apocentric'))
make_plot(res_filepath, gnu_filepath, png_path, title)
if is_tar:
tarf.add(png_path, arcname=os.path.basename(png_path))
if is_tar:
tarf.close()
shutil.rmtree(output_dir, True)
if is_s3:
s3_bucket_key.set_contents_from_filename(output)