def test_check_data_source_probsevere(self):
"""Ensures correct output from check_data_source.
In this case, data source is probSevere.
"""
tracking_utils.check_data_source(tracking_utils.PROBSEVERE_SOURCE_ID)
def test_check_data_source_segmotion(self):
"""Ensures correct output from check_data_source.
In this case, data source is segmotion.
"""
tracking_utils.check_data_source(tracking_utils.SEGMOTION_SOURCE_ID)
def _create_best_tracks(start_time_string, end_time_string, top_input_dir_name,
data_source, top_output_dir_name,
tracking_scale_metres2):
"""Runs the best-track algorithm with default parameters.
:param start_time_string: See documentation at top of file.
:param end_time_string: Same.
:param top_input_dir_name: Same.
:param data_source: Same.
:param top_output_dir_name: Same.
:param tracking_scale_metres2: Same.
"""
tracking_utils.check_data_source(data_source)
start_time_unix_sec = time_conversion.string_to_unix_sec(
start_time_string, INPUT_TIME_FORMAT)
end_time_unix_sec = time_conversion.string_to_unix_sec(
end_time_string, INPUT_TIME_FORMAT)
first_date_string = time_conversion.time_to_spc_date_string(
start_time_unix_sec)
last_date_string = time_conversion.time_to_spc_date_string(
end_time_unix_sec)
file_dictionary = best_tracks_smart_io.find_files_for_smart_io(
start_time_unix_sec=start_time_unix_sec,
start_spc_date_string=first_date_string,
end_time_unix_sec=end_time_unix_sec,
end_spc_date_string=last_date_string,
data_source=data_source,
tracking_scale_metres2=tracking_scale_metres2,
top_input_dir_name=top_input_dir_name,
top_output_dir_name=top_output_dir_name)
best_tracks_smart_io.run_best_track(smart_file_dict=file_dictionary)
def test_check_data_source_fake(self):
"""Ensures correct output from check_data_source.
In this case, data source is unrecognized.
"""
with self.assertRaises(ValueError):
tracking_utils.check_data_source(FAKE_DATA_SOURCE)
def _check_file_finding_args(top_tracking_dir_name, tracking_scale_metres2,
source_name, raise_error_if_missing):
"""Error-checks input args for file-finding method.
:param top_tracking_dir_name: Name of top-level directory with tracking
data.
:param tracking_scale_metres2: Tracking scale (minimum storm area).
:param source_name: Data source (must be accepted by
`storm_tracking_utils.check_data_source`).
:param raise_error_if_missing: Boolean flag. If file is missing and
`raise_error_if_missing = True`, the file-finding method will throw an
error.
:return: tracking_scale_metres2: Integer version of input.
"""
error_checking.assert_is_string(top_tracking_dir_name)
error_checking.assert_is_greater(tracking_scale_metres2, 0)
tracking_utils.check_data_source(source_name)
error_checking.assert_is_boolean(raise_error_if_missing)
return int(numpy.round(tracking_scale_metres2))
def _check_input_args_for_file_finding(top_processed_dir_name,
tracking_scale_metres2, data_source,
raise_error_if_missing):
"""Error-checks input arguments for file-finding methods.
:param top_processed_dir_name: Name of top-level directory with processed
tracking files.
:param tracking_scale_metres2: Tracking scale (minimum storm area).
:param data_source: Data source (must be accepted by
`storm_tracking_utils.check_data_source`).
:param raise_error_if_missing: Boolean flag. Determines whether or not, if
(file is / files are) not found, the method will error out.
:return: tracking_scale_metres2: Integer version of input.
"""
error_checking.assert_is_string(top_processed_dir_name)
error_checking.assert_is_greater(tracking_scale_metres2, 0)
tracking_utils.check_data_source(data_source)
error_checking.assert_is_boolean(raise_error_if_missing)
return int(numpy.round(tracking_scale_metres2))
