def test_minimal(self):
reading = common.TimeAdjustment(TEST_DATETIME, TEST_OLD_DATETIME)
self.assertEqual(
reading.as_csv(common.Unit.MG_DL),
'"2018-01-01 00:30:45","","","time","2016-02-02 01:31:46"',
)
self.assertEqual(
len(list(csv.reader([reading.as_csv(common.Unit.MG_DL)]))[0]),
CSV_FIELD_COUNT,
)
def _parse_arresult(record):
"""Takes an array of string fields as input and parses it into a Reading."""
parsed_record = _parse_record(record, _BASE_ENTRY_MAP)
# There are other record types, but we don't currently need to expose these.
if not parsed_record:
return None
elif parsed_record['type'] == 2:
parsed_record.update(_parse_record(record, _ARRESULT_TYPE2_ENTRY_MAP))
elif parsed_record['type'] == 5:
parsed_record.update(
_parse_record(record, _ARRESULT_TIME_ADJUSTMENT_ENTRY_MAP))
return common.TimeAdjustment(
_extract_timestamp(parsed_record),
_extract_timestamp(parsed_record, 'old_'),
extra_data={'device_id': parsed_record['device_id']},
)
else:
return None
# Check right away if we have rapid insulin
if parsed_record['rapid-acting-flag']:
parsed_record.update(
_parse_record(record, _ARRESULT_RAPID_INSULIN_ENTRY_MAP))
if parsed_record['errors']:
return None
comment_parts = []
measure_method = None
cls = None
value = None
if parsed_record['reading-type'] == 2:
comment_parts.append('(Scan)')
measure_method = common.MeasurementMethod.CGM
cls = common.GlucoseReading
value = parsed_record['value']
elif parsed_record['reading-type'] == 0:
comment_parts.append('(Blood)')
measure_method = common.MeasurementMethod.BLOOD_SAMPLE
cls = common.GlucoseReading
value = parsed_record['value']
elif parsed_record['reading-type'] == 1:
comment_parts.append('(Ketone)')
measure_method = common.MeasurementMethod.BLOOD_SAMPLE
cls = common.KetoneReading
# automatically convert the raw value in mmol/L
value = freestyle.convert_ketone_unit(parsed_record['value'])
else:
# unknown reading
return None
custom_comments = record[29:35]
for comment_index in range(6):
if parsed_record['custom-comments-bitfield'] & (1 << comment_index):
comment_parts.append(custom_comments[comment_index][1:-1])
if parsed_record['sport-flag']:
comment_parts.append('Sport')
if parsed_record['medication-flag']:
comment_parts.append('Medication')
if parsed_record['food-flag']:
if parsed_record['food-carbs-grams']:
comment_parts.append('Food (%d g)' %
parsed_record['food-carbs-grams'])
else:
comment_parts.append('Food')
if parsed_record['long-acting-flag']:
if parsed_record['double-long-acting-insulin']:
comment_parts.append(
'Long-acting insulin (%.1f)' %
(parsed_record['double-long-acting-insulin'] / 2.))
else:
comment_parts.append('Long-acting insulin')
if parsed_record['rapid-acting-flag']:
# provide default value, as this record does not always exist
# (even if rapid-acting-flag is set)
if parsed_record.get('double-rapid-acting-insulin', 0):
comment_parts.append(
'Rapid-acting insulin (%.1f)' %
(parsed_record['double-rapid-acting-insulin'] / 2.))
else:
comment_parts.append('Rapid-acting insulin')
return cls(
_extract_timestamp(parsed_record),
value,
comment='; '.join(comment_parts),
measure_method=measure_method,
extra_data={'device_id': parsed_record['device_id']},
)
def _parse_arresult(record: Sequence[str]) -> Optional[common.AnyReading]:
"""Takes an array of string fields as input and parses it into a Reading."""
parsed_record = _parse_record(record, _BASE_ENTRY_MAP)
# There are other record types, but we don't currently need to expose these.
if not parsed_record:
return None
elif parsed_record["type"] == 2:
parsed_record.update(_parse_record(record, _ARRESULT_TYPE2_ENTRY_MAP))
elif parsed_record["type"] == 5:
parsed_record.update(
_parse_record(record, _ARRESULT_TIME_ADJUSTMENT_ENTRY_MAP))
return common.TimeAdjustment(
_extract_timestamp(parsed_record),
_extract_timestamp(parsed_record, "old_"),
extra_data={"device_id": parsed_record["device_id"]},
)
else:
return None
# Check right away if we have rapid insulin
if parsed_record["rapid-acting-flag"]:
parsed_record.update(
_parse_record(record, _ARRESULT_RAPID_INSULIN_ENTRY_MAP))
if parsed_record["errors"]:
return None
comment_parts = []
measure_method: Optional[common.MeasurementMethod] = None
cls: Optional[Type[common.AnyReading]] = None
value: Optional[float] = None
if parsed_record["reading-type"] == 2:
comment_parts.append("(Scan)")
measure_method = common.MeasurementMethod.CGM
cls = common.GlucoseReading
value = parsed_record["value"]
elif parsed_record["reading-type"] == 0:
comment_parts.append("(Blood)")
measure_method = common.MeasurementMethod.BLOOD_SAMPLE
cls = common.GlucoseReading
value = parsed_record["value"]
elif parsed_record["reading-type"] == 1:
comment_parts.append("(Ketone)")
measure_method = common.MeasurementMethod.BLOOD_SAMPLE
cls = common.KetoneReading
# automatically convert the raw value in mmol/L
raw_value = parsed_record["value"]
if raw_value is None:
raise ValueError(f"Invalid Ketone value: {parsed_record!r}")
value = freestyle.convert_ketone_unit(raw_value)
else:
# unknown reading
return None
custom_comments = record[29:35]
for comment_index in range(6):
if parsed_record["custom-comments-bitfield"] & (1 << comment_index):
comment_parts.append(custom_comments[comment_index])
if parsed_record["sport-flag"]:
comment_parts.append("Sport")
if parsed_record["medication-flag"]:
comment_parts.append("Medication")
if parsed_record["food-flag"]:
grams = parsed_record["food-carbs-grams"]
if grams:
comment_parts.append(f"Food ({grams} g)")
else:
comment_parts.append("Food")
if parsed_record["long-acting-flag"]:
insulin = parsed_record["double-long-acting-insulin"] / 2
if insulin:
comment_parts.append(f"Long-acting insulin ({insulin:.1f})")
else:
comment_parts.append("Long-acting insulin")
if parsed_record["rapid-acting-flag"]:
# This record does not always exist, so calculate it only when present.
if "double-rapid-acting-insulin" in parsed_record:
rapid_insulin = parsed_record["double-rapid-acting-insulin"] / 2
comment_parts.append(f"Rapid-acting insulin ({rapid_insulin:.1f})")
else:
comment_parts.append("Rapid-acting insulin")
reading = cls(
_extract_timestamp(parsed_record),
value,
comment="; ".join(comment_parts),
measure_method=measure_method,
extra_data={"device_id": parsed_record["device_id"]},
)
return reading