def unifi_dict_to_dict(cls, data: Dict[str, Any]) -> Dict[str, Any]:
if "start" in data:
data["start"] = process_datetime(data, "start")
if "end" in data:
data["end"] = process_datetime(data, "end")
return super().unifi_dict_to_dict(data)
def unifi_dict_to_dict(cls, data: Dict[str, Any]) -> Dict[str, Any]:
if "lastSeen" in data:
data["lastSeen"] = process_datetime(data, "lastSeen")
if "upSince" in data and data["upSince"] is not None:
data["upSince"] = process_datetime(data, "upSince")
if "uptime" in data and data["uptime"] is not None and not isinstance(
data["uptime"], timedelta):
data["uptime"] = timedelta(milliseconds=int(data["uptime"]))
# hardware revisions for all devices are not simple numbers
# so cast them all to str to be consistent
if "hardwareRevision" in data and data["hardwareRevision"] is not None:
data["hardwareRevision"] = str(data["hardwareRevision"])
return super().unifi_dict_to_dict(data)
def unifi_dict_to_dict(cls, data: Dict[str, Any]) -> Dict[str, Any]:
if "resetAt" in data:
data["resetAt"] = process_datetime(data, "resetAt")
if "text" in data:
data["text"] = cls._fix_text(data["text"], data.get("type"))
return super().unifi_dict_to_dict(data)
def unifi_dict_to_dict(cls, data: Dict[str, Any]) -> Dict[str, Any]:
if "lastUpdateAt" in data:
data["lastUpdateAt"] = process_datetime(data, "lastUpdateAt")
if "recordingRetentionDurationMs" in data and data["recordingRetentionDurationMs"] is not None:
data["recordingRetentionDuration"] = timedelta(milliseconds=data.pop("recordingRetentionDurationMs"))
if "timezone" in data and not isinstance(data["timezone"], tzinfo):
data["timezone"] = pytz.timezone(data["timezone"])
return super().unifi_dict_to_dict(data)
def unifi_dict_to_dict(cls, data: Dict[str, Any]) -> Dict[str, Any]:
if "recordingStart" in data:
data["recordingStart"] = process_datetime(data, "recordingStart")
if "recordingEnd" in data:
data["recordingEnd"] = process_datetime(data, "recordingEnd")
if "recordingStartLQ" in data:
data["recordingStartLQ"] = process_datetime(
data, "recordingStartLQ")
if "recordingEndLQ" in data:
data["recordingEndLQ"] = process_datetime(data, "recordingEndLQ")
if "timelapseStart" in data:
data["timelapseStart"] = process_datetime(data, "timelapseStart")
if "timelapseEnd" in data:
data["timelapseEnd"] = process_datetime(data, "timelapseEnd")
if "timelapseStartLQ" in data:
data["timelapseStartLQ"] = process_datetime(
data, "timelapseStartLQ")
if "timelapseEndLQ" in data:
data["timelapseEndLQ"] = process_datetime(data, "timelapseEndLQ")
return super().unifi_dict_to_dict(data)
def unifi_dict_to_dict(cls, data: Dict[str, Any]) -> Dict[str, Any]:
for key in {"start", "end", "timestamp"}.intersection(data.keys()):
data[key] = process_datetime(data, key)
return super().unifi_dict_to_dict(data)