def setUpClass(cls):
dataset = DataSet(data={'description': "Test source extraction step"})
cls.dataset_id = dataset.id
config = SafeConfigParser()
config.read(default_job_config)
config = parse_to_dict(config)
cls.parset = config['source_extraction']
def setUpClass(cls):
dataset = DataSet(data={'description': "Test source extraction step"})
cls.dataset_id = dataset.id
config = SafeConfigParser()
config.read(default_job_config)
config = parse_to_dict(config)
cls.parset = config['source_extraction']
def load_job_config(pipe_config):
"""
Locates the job_params.cfg in 'job_directory' and loads via ConfigParser.
"""
job_directory = pipe_config["DEFAULT"]["job_directory"]
job_config = ConfigParser.SafeConfigParser()
job_config.read(os.path.join(job_directory, "job_params.cfg"))
return parse_to_dict(job_config)
def load_job_config(pipe_config):
"""
Locates the job_params.cfg in 'job_directory' and loads via ConfigParser.
"""
job_directory = pipe_config['DEFAULT']['job_directory']
job_config = ConfigParser.SafeConfigParser()
job_config.read(os.path.join(job_directory, 'job_params.cfg'))
return parse_to_dict(job_config)
def test_injection(self):
c = SafeConfigParser()
c.read(default_header_inject_config)
parset = parse_to_dict(c)['inject']
tkp.inject.modify_fits_headers(parset, self.fixed_file, overwrite=True)
fixed_fits = tkp.accessors.open(self.fixed_file)
self.assertTrue(isinstance(fixed_fits, DataAccessor))
self.assertTrue(isinstance(fixed_fits, LofarAccessor))
def setUpClass(cls):
cls.dataset_id = db_subs.create_dataset_8images()
cls.images = [testdata.fits_file]
cls.extraction_radius = 256
job_config = SafeConfigParser()
job_config.read(default_job_config)
job_config = parse_to_dict(job_config)
cls.persistence_pars = job_config['persistence']
pipe_config = initialize_pipeline_config(default_pipeline_config,
job_name="test_persistence")
cls.image_cache_pars = pipe_config['image_cache']
def setUpClass(cls):
dataset = tkp.db.DataSet(data={"description": "Test persistence"})
cls.dataset_id = dataset.id
cls.images = [datafile]
cls.accessors = [tkp.accessors.open(datafile)]
cls.extraction_radius = 256
job_config = SafeConfigParser()
job_config.read(default_job_config)
job_config = parse_to_dict(job_config)
cls.persistence_pars = job_config["persistence"]
pipe_config = initialize_pipeline_config(default_pipeline_config, job_name="test_persistence")
cls.image_cache_pars = pipe_config["image_cache"]
def setUpClass(cls):
dataset = tkp.db.DataSet(data={'description': "Test persistence"})
cls.dataset_id = dataset.id
cls.images = [datafile]
cls.extraction_radius = 256
job_config = SafeConfigParser()
job_config.read(default_job_config)
job_config = parse_to_dict(job_config)
cls.persistence_pars = job_config['persistence']
pipe_config = initialize_pipeline_config(default_pipeline_config,
job_name="test_persistence")
cls.image_cache_pars = pipe_config['image_cache']
def main():
parset_file, target_files, overwrite = parse_arguments()
c = SafeConfigParser()
c.read(parset_file)
new_hdr_entries = parse_to_dict(c)['inject']
for target_file in target_files:
#Normally accessors.open checks this, but we're going straight
#to detect here because we don't want to actually open it:
if not os.path.isfile(target_file) or os.path.isdir(target_file):
print "File not found: %s (check path is correct?)" % target_file
continue
print "injecting data into %s" % target_file
accessor_class = tkp.accessors.detection.detect(target_file)
if accessor_class == LofarFitsImage:
modify_fits_headers(new_hdr_entries, target_file, overwrite)
elif accessor_class == LofarCasaImage:
modify_casa_headers(new_hdr_entries, target_file)
else:
print "ERROR: %s is in a unknown format" % target_file
def main():
logging.basicConfig(level=logging.DEBUG)
parset_file, target_files, overwrite = parse_arguments()
c = SafeConfigParser()
c.read(parset_file)
new_hdr_entries = parse_to_dict(c)['inject']
for target_file in target_files:
#Normally accessors.open checks this, but we're going straight
#to detect here because we don't want to actually open it:
if not (os.path.isfile(target_file) or os.path.isdir(target_file)):
logger.warn("File not found: %s (check path is correct?)" %
target_file)
continue
logger.info("injecting data into %s" % target_file)
accessor_class = tkp.accessors.detection.detect(target_file)
if FitsImage in accessor_class.mro():
modify_fits_headers(new_hdr_entries, target_file, overwrite)
elif accessor_class == LofarCasaImage:
modify_lofarcasa_tau_time(new_hdr_entries, target_file)
else:
logger.error("ERROR: %s is in a unknown format" % target_file)
def main():
logging.basicConfig(level=logging.DEBUG)
parset_file, target_files, overwrite = parse_arguments()
c = SafeConfigParser()
c.read(parset_file)
new_hdr_entries = parse_to_dict(c)['inject']
for target_file in target_files:
#Normally accessors.open checks this, but we're going straight
#to detect here because we don't want to actually open it:
if not (os.path.isfile(target_file) or os.path.isdir(target_file)):
logger.warn("File not found: %s (check path is correct?)"
% target_file)
continue
logger.info("injecting data into %s" % target_file)
accessor_class = tkp.accessors.detection.detect(target_file)
if FitsImage in accessor_class.mro():
modify_fits_headers(new_hdr_entries, target_file, overwrite)
elif accessor_class == LofarCasaImage:
modify_lofarcasa_tau_time(new_hdr_entries, target_file)
else:
logger.error("ERROR: %s is in a unknown format" % target_file)
def setUp(self):
self.accessor = tkp.accessors.open(fits_file)
config = SafeConfigParser()
config.read(default_job_config)
self.job_config = parse_to_dict(config)
def test_default_inject_config(self):
c = SafeConfigParser()
c.read(default_header_inject_config)
inject_config = parse_to_dict(c)
def test_parser(self):
parsed = parse_to_dict(self.config)
self.assertEqual(parsed, self.parset)
def test_default_job_config(self):
c = SafeConfigParser()
c.read(default_job_config)
job_config = parse_to_dict(c)
def setUpClass(cls):
cls.accessor = tkp.accessors.open(casa_table)
config = SafeConfigParser()
config.read(default_job_config)
cls.job_config = parse_to_dict(config)
def setUp(self):
self.accessor = tkp.accessors.open(fits_file)
config = SafeConfigParser()
config.read(default_job_config)
self.job_config = parse_to_dict(config)
def test_parser(self):
parsed = parse_to_dict(self.config)
self.assertEqual(parsed, self.parset)
def test_default_inject_config(self):
c = SafeConfigParser()
c.read(default_header_inject_config)
inject_config = parse_to_dict(c)
def test_default_job_config(self):
c = SafeConfigParser()
c.read(default_job_config)
job_config = parse_to_dict(c)
def setUpClass(cls):
cls.dataset_id = db_subs.create_dataset_8images()
config = SafeConfigParser()
config.read(default_job_config)
config = parse_to_dict(config)
cls.parset = config["source_extraction"]
def setUpClass(cls):
cls.dataset_id = db_subs.create_dataset_8images(extract_sources=True)
config = SafeConfigParser()
config.read(default_job_config)
config = parse_to_dict(config)
cls.parset =config['transient_search']