## Get Uptime Metrics

`slas.get_uptime_metrics(strdata_source_urn, SlaGetUptimeMetricsParams**kwargs)  -> SlaGetUptimeMetricsResponse`

**get** `/v1/slas/{sla_urn}/data-sources/{data_source_urn}/uptime-metrics`

Get uptime metrics for an SLA data source

### Parameters

- `sla_urn: str`

- `data_source_urn: str`

- `timeframe_end: Optional[str]`

  Year and month landing within the last SLA evaluation period to include in the result, in the format YYYY-MM

- `timeframe_start: Optional[str]`

  Year and month landing within the first SLA evaluation period to include in the result, in the format YYYY-MM

### Returns

- `List[SlaGetUptimeMetricsResponseItem]`

  - `data_source_urn: str`

    The unique identifier of the data source

  - `downtime_events: List[SlaGetUptimeMetricsResponseItemDowntimeEvent]`

    A list of downtime events that occurred during the timeframe

    - `duration_hours: float`

      The duration of the downtime event in hours

    - `end_time: datetime`

      The end time of the downtime event

    - `name: str`

      The display name of the downtime event

    - `start_time: datetime`

      The start time of the downtime event

  - `downtime_hours: float`

    The total number of downtime hours during the timeframe

  - `sla_urn: str`

    The unique identifier of the SLA

  - `timeframe: SlaGetUptimeMetricsResponseItemTimeframe`

    The timeframe for which the uptime metrics are calculated

    - `end: datetime`

      The ISO-formatted end datetime of the timeframe for which the metrics are calculated

    - `start: datetime`

      The ISO-formatted start datetime of the timeframe for which the metrics are calculated

  - `uptime_percentage: float`

    The percentage of uptime during the timeframe

  - `vendor_urn: str`

    The unique identifier of the vendor

### Example

```python
import os
from clarative import Clarative

client = Clarative(
    api_key=os.environ.get("CLARATIVE_API_KEY"),  # This is the default and can be omitted
)
response = client.slas.get_uptime_metrics(
    data_source_urn="data_source_urn",
    sla_urn="sla_urn",
)
print(response)
```