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Split Owncloud CPU load in separate sensors (#99141)
* split cpu load values into own sensors * apply suggestion
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@ -54,6 +54,11 @@ class NextcloudDataUpdateCoordinator(DataUpdateCoordinator[dict[str, Any]]):
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key_path += f"{key}_"
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leaf = True
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result.update(self._get_data_points(value, key_path, leaf))
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elif key == "cpuload" and isinstance(value, list):
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result[f"{key_path}{key}_1"] = value[0]
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result[f"{key_path}{key}_5"] = value[1]
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result[f"{key_path}{key}_15"] = value[2]
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leaf = False
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else:
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result[f"{key_path}{key}"] = value
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leaf = False
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@ -171,10 +171,26 @@ SENSORS: Final[dict[str, SensorEntityDescription]] = {
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translation_key="nextcloud_system_apps_num_updates_available",
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icon="mdi:update",
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),
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"system_cpuload": SensorEntityDescription(
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key="system_cpuload",
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translation_key="nextcloud_system_cpuload",
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"system_cpuload_1": SensorEntityDescription(
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key="system_cpuload_1",
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translation_key="nextcloud_system_cpuload_1",
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native_unit_of_measurement=UNIT_OF_LOAD,
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icon="mdi:chip",
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suggested_display_precision=2,
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),
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"system_cpuload_5": SensorEntityDescription(
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key="system_cpuload_5",
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translation_key="nextcloud_system_cpuload_5",
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native_unit_of_measurement=UNIT_OF_LOAD,
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icon="mdi:chip",
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suggested_display_precision=2,
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),
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"system_cpuload_15": SensorEntityDescription(
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key="system_cpuload_15",
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translation_key="nextcloud_system_cpuload_15",
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native_unit_of_measurement=UNIT_OF_LOAD,
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icon="mdi:chip",
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suggested_display_precision=2,
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),
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"system_freespace": SensorEntityDescription(
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key="system_freespace",
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@ -63,8 +63,14 @@
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"nextcloud_system_freespace": {
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"name": "Free space"
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},
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"nextcloud_system_cpuload": {
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"name": "CPU Load"
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"nextcloud_system_cpuload_1": {
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"name": "CPU Load last minute"
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},
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"nextcloud_system_cpuload_15": {
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"name": "CPU Load last 15 minutes"
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},
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"nextcloud_system_cpuload_5": {
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"name": "CPU Load last 5 minutes"
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},
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"nextcloud_system_mem_total": {
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"name": "Total memory"
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