def process_diagnostic_data(self):
"""
Handles the processing of diagnostic data particles and handles error processing if events
which should have occurred prior to receiving a diagnostic record did not happen.
"""
# As diagnostics records have the same format as velocity records
# you can use the same routine used to break down the velocity data
timestamp = VelptAbDclDataParticle.get_timestamp(self._current_record)
date_time_group = VelptAbDclDataParticle.get_date_time_string(
self._current_record)
self._diagnostics_data_dict = VelptAbDclDataParticle.generate_data_dict(
self._current_record)
# Upon encountering the first diagnostics record, use its timestamp
# for diagnostics metadata particle. Produce that metadata particle now.
if self._first_diagnostics_record:
self._first_diagnostics_record = False
diagnostics_header_dict = VelptAbDclDataParticle.generate_diagnostics_header_dict(
date_time_group, self._diagnostics_header_record)
self._total_diagnostic_records = VelptAbDclDataParticle.\
get_diagnostics_count(self._diagnostics_header_record)
particle = self._extract_sample(self._metadata_class,
None,
diagnostics_header_dict,
internal_timestamp=timestamp)
self._diagnostic_header_published = True
self._record_buffer.append(particle)
# Cover the case where unexpected diagnostics records are encountered
elif ((not self._diagnostic_header_published) | (not self._sending_diagnostics))\
& (not self._bad_diagnostic_header):
self._total_diagnostic_records = self.DEFAULT_DIAGNOSTICS_COUNT
self._diagnostic_header_published = True
log.warning('Unexpected diagnostic data record encountered')
self._exception_callback(
RecoverableSampleException(
'Unexpected diagnostic data record encountered, not preceded by header'
))
particle = self._extract_sample(self._diagnostics_class,
None,
self._diagnostics_data_dict,
internal_timestamp=timestamp)
self._record_buffer.append(particle)
self._diagnostics_count += 1
def process_diagnostic_data(self):
"""
Handles the processing of diagnostic data particles and handles error processing if events
which should have occurred prior to receiving a diagnostic record did not happen.
"""
# As diagnostics records have the same format as velocity records
# you can use the same routine used to break down the velocity data
timestamp = VelptAbDclDataParticle.get_timestamp(self._current_record)
date_time_group = VelptAbDclDataParticle.get_date_time_string(self._current_record)
self._diagnostics_data_dict = VelptAbDclDataParticle.generate_data_dict(self._current_record)
# Upon encountering the first diagnostics record, use its timestamp
# for diagnostics metadata particle. Produce that metadata particle now.
if self._first_diagnostics_record:
self._first_diagnostics_record = False
diagnostics_header_dict = VelptAbDclDataParticle.generate_diagnostics_header_dict(
date_time_group, self._diagnostics_header_record)
self._total_diagnostic_records = VelptAbDclDataParticle.\
get_diagnostics_count(self._diagnostics_header_record)
particle = self._extract_sample(self._metadata_class,
None,
diagnostics_header_dict,
timestamp)
self._diagnostic_header_published = True
self._record_buffer.append(particle)
# Cover the case where unexpected diagnostics records are encountered
elif ((not self._diagnostic_header_published) | (not self._sending_diagnostics))\
& (not self._bad_diagnostic_header):
self._total_diagnostic_records = self.DEFAULT_DIAGNOSTICS_COUNT
self._diagnostic_header_published = True
log.warning('Unexpected diagnostic data record encountered')
self._exception_callback(
RecoverableSampleException('Unexpected diagnostic data record encountered, not preceded by header'))
particle = self._extract_sample(self._diagnostics_class,
None,
self._diagnostics_data_dict,
timestamp)
self._record_buffer.append(particle)
self._diagnostics_count += 1
