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feat: implement query_metrics
query_metrics currently has no implementation, meaning once a metric is emitted there is no way in llama stack to query it from the store. implement query_metrics for the meta_reference provider which follows a similar style to `query_traces`, using the trace_store to format an SQL query and execute it in this case the parameters for the query are `metric.METRIC_NAME, start_time, and end_time`. this required client side changes since the client had no `query_metrics` or any associated resources, so any tests here will fail but I will provider manual execution logs for the new tests I am adding order the metrics by timestamp. Additionally add `unit` to the `MetricDataPoint` class since this adds much more context to the metric being queried. these metrics can also be aggregated via a `granularity` parameter. This was pre-defined as a string like: `1m, 1h, 1d` where metrics occuring in same timespan specified are aggregated together. Signed-off-by: Charlie Doern <cdoern@redhat.com>
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"value": {
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"type": "number",
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"description": "The numeric value of the metric at this timestamp"
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},
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"unit": {
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"type": "string"
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}
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},
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"additionalProperties": false,
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"required": [
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"timestamp",
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"value"
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"value",
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"unit"
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],
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"title": "MetricDataPoint",
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"description": "A single data point in a metric time series."
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type: number
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description: >-
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The numeric value of the metric at this timestamp
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unit:
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type: string
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additionalProperties: false
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required:
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- timestamp
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- value
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- unit
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title: MetricDataPoint
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description: >-
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A single data point in a metric time series.
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