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feat: implement query_metrics (#3074)
# What does this PR do? 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` and any other matchers if they are provided. 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 provide 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. depends on https://github.com/llamastack/llama-stack-client-python/pull/260 ## Test Plan ``` import time import uuid def create_http_client(): from llama_stack_client import LlamaStackClient return LlamaStackClient(base_url="http://localhost:8321") client = create_http_client() response = client.telemetry.query_metrics(metric_name="total_tokens", start_time=0) print(response) ``` ``` ╰─ python3.12 ~/telemetry.py INFO:httpx:HTTP Request: POST http://localhost:8322/v1/telemetry/metrics/total_tokens "HTTP/1.1 200 OK" [TelemetryQueryMetricsResponse(data=None, metric='total_tokens', labels=[], values=[{'timestamp': 1753999514, 'value': 34.0, 'unit': 'tokens'}, {'timestamp': 1753999816, 'value': 34.0, 'unit': 'tokens'}, {'timestamp': 1753999881, 'value': 34.0, 'unit': 'tokens'}, {'timestamp': 1753999956, 'value': 34.0, 'unit': 'tokens'}, {'timestamp': 1754000200, 'value': 34.0, 'unit': 'tokens'}, {'timestamp': 1754000419, 'value': 36.0, 'unit': 'tokens'}, {'timestamp': 1754000714, 'value': 36.0, 'unit': 'tokens'}, {'timestamp': 1754000876, 'value': 36.0, 'unit': 'tokens'}, {'timestamp': 1754000908, 'value': 34.0, 'unit': 'tokens'}, {'timestamp': 1754001309, 'value': 584.0, 'unit': 'tokens'}, {'timestamp': 1754001311, 'value': 138.0, 'unit': 'tokens'}, {'timestamp': 1754001316, 'value': 349.0, 'unit': 'tokens'}, {'timestamp': 1754001318, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754001320, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754001341, 'value': 923.0, 'unit': 'tokens'}, {'timestamp': 1754001350, 'value': 354.0, 'unit': 'tokens'}, {'timestamp': 1754001462, 'value': 417.0, 'unit': 'tokens'}, {'timestamp': 1754001464, 'value': 158.0, 'unit': 'tokens'}, {'timestamp': 1754001475, 'value': 697.0, 'unit': 'tokens'}, {'timestamp': 1754001477, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754001479, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754001489, 'value': 298.0, 'unit': 'tokens'}, {'timestamp': 1754001541, 'value': 615.0, 'unit': 'tokens'}, {'timestamp': 1754001543, 'value': 119.0, 'unit': 'tokens'}, {'timestamp': 1754001548, 'value': 310.0, 'unit': 'tokens'}, {'timestamp': 1754001549, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754001551, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754001568, 'value': 714.0, 'unit': 'tokens'}, {'timestamp': 1754001800, 'value': 437.0, 'unit': 'tokens'}, {'timestamp': 1754001802, 'value': 200.0, 'unit': 'tokens'}, {'timestamp': 1754001806, 'value': 262.0, 'unit': 'tokens'}, {'timestamp': 1754001808, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754001810, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754001816, 'value': 82.0, 'unit': 'tokens'}, {'timestamp': 1754001923, 'value': 61.0, 'unit': 'tokens'}, {'timestamp': 1754001929, 'value': 391.0, 'unit': 'tokens'}, {'timestamp': 1754001939, 'value': 598.0, 'unit': 'tokens'}, {'timestamp': 1754001941, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754001942, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754001952, 'value': 252.0, 'unit': 'tokens'}, {'timestamp': 1754002053, 'value': 251.0, 'unit': 'tokens'}, {'timestamp': 1754002059, 'value': 375.0, 'unit': 'tokens'}, {'timestamp': 1754002062, 'value': 244.0, 'unit': 'tokens'}, {'timestamp': 1754002064, 'value': 111.0, 'unit': 'tokens'}, {'timestamp': 1754002065, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754002083, 'value': 719.0, 'unit': 'tokens'}, {'timestamp': 1754002302, 'value': 279.0, 'unit': 'tokens'}, {'timestamp': 1754002306, 'value': 218.0, 'unit': 'tokens'}, {'timestamp': 1754002308, 'value': 198.0, 'unit': 'tokens'}, {'timestamp': 1754002309, 'value': 69.0, 'unit': 'tokens'}, {'timestamp': 1754002311, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754002324, 'value': 481.0, 'unit': 'tokens'}, {'timestamp': 1754003161, 'value': 579.0, 'unit': 'tokens'}, {'timestamp': 1754003161, 'value': 69.0, 'unit': 'tokens'}, {'timestamp': 1754003169, 'value': 499.0, 'unit': 'tokens'}, {'timestamp': 1754003171, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754003173, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754003185, 'value': 422.0, 'unit': 'tokens'}, {'timestamp': 1754003448, 'value': 579.0, 'unit': 'tokens'}, {'timestamp': 1754003453, 'value': 422.0, 'unit': 'tokens'}, {'timestamp': 1754003589, 'value': 579.0, 'unit': 'tokens'}, {'timestamp': 1754003609, 'value': 279.0, 'unit': 'tokens'}, {'timestamp': 1754003614, 'value': 481.0, 'unit': 'tokens'}, {'timestamp': 1754003706, 'value': 303.0, 'unit': 'tokens'}, {'timestamp': 1754003706, 'value': 51.0, 'unit': 'tokens'}, {'timestamp': 1754003713, 'value': 426.0, 'unit': 'tokens'}, {'timestamp': 1754003714, 'value': 70.0, 'unit': 'tokens'}, {'timestamp': 1754003715, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754003724, 'value': 225.0, 'unit': 'tokens'}, {'timestamp': 1754004226, 'value': 516.0, 'unit': 'tokens'}, {'timestamp': 1754004228, 'value': 127.0, 'unit': 'tokens'}, {'timestamp': 1754004232, 'value': 281.0, 'unit': 'tokens'}, {'timestamp': 1754004234, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754004236, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754004244, 'value': 206.0, 'unit': 'tokens'}, {'timestamp': 1754004683, 'value': 338.0, 'unit': 'tokens'}, {'timestamp': 1754004690, 'value': 481.0, 'unit': 'tokens'}, {'timestamp': 1754004692, 'value': 124.0, 'unit': 'tokens'}, {'timestamp': 1754004692, 'value': 65.0, 'unit': 'tokens'}, {'timestamp': 1754004694, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754004703, 'value': 211.0, 'unit': 'tokens'}, {'timestamp': 1754004743, 'value': 338.0, 'unit': 'tokens'}, {'timestamp': 1754004749, 'value': 211.0, 'unit': 'tokens'}, {'timestamp': 1754005566, 'value': 481.0, 'unit': 'tokens'}, {'timestamp': 1754006101, 'value': 159.0, 'unit': 'tokens'}, {'timestamp': 1754006105, 'value': 272.0, 'unit': 'tokens'}, {'timestamp': 1754006109, 'value': 308.0, 'unit': 'tokens'}, {'timestamp': 1754006110, 'value': 61.0, 'unit': 'tokens'}, {'timestamp': 1754006112, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754006130, 'value': 705.0, 'unit': 'tokens'}, {'timestamp': 1754051825, 'value': 454.0, 'unit': 'tokens'}, {'timestamp': 1754051827, 'value': 152.0, 'unit': 'tokens'}, {'timestamp': 1754051834, 'value': 481.0, 'unit': 'tokens'}, {'timestamp': 1754051835, 'value': 55.0, 'unit': 'tokens'}, {'timestamp': 1754051837, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754051845, 'value': 102.0, 'unit': 'tokens'}, {'timestamp': 1754099929, 'value': 36.0, 'unit': 'tokens'}, {'timestamp': 1754510050, 'value': 598.0, 'unit': 'tokens'}, {'timestamp': 1754510052, 'value': 160.0, 'unit': 'tokens'}, {'timestamp': 1754510064, 'value': 725.0, 'unit': 'tokens'}, {'timestamp': 1754510065, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754510067, 'value': 133.0, 'unit': 'tokens'}, {'timestamp': 1754510083, 'value': 535.0, 'unit': 'tokens'}, {'timestamp': 1754596582, 'value': 36.0, 'unit': 'tokens'}])] ``` adding tests for each currently documented metric in llama stack using this new function. attached is also some manual testing integrations tests passing locally with replay mode and the linked client changes: <img width="1907" height="529" alt="Screenshot 2025-08-08 at 2 49 14 PM" src="https://github.com/user-attachments/assets/d482ab06-dcff-4f0c-a1f1-f870670ee9bc" /> --------- Signed-off-by: Charlie Doern <cdoern@redhat.com>
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17 changed files with 921 additions and 6 deletions
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@ -4,6 +4,7 @@
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import datetime
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import threading
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from typing import Any
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@ -145,11 +146,41 @@ class TelemetryAdapter(TelemetryDatasetMixin, Telemetry):
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metric_name: str,
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start_time: int,
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end_time: int | None = None,
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granularity: str | None = "1d",
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granularity: str | None = None,
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query_type: MetricQueryType = MetricQueryType.RANGE,
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label_matchers: list[MetricLabelMatcher] | None = None,
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) -> QueryMetricsResponse:
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raise NotImplementedError("Querying metrics is not implemented")
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"""Query metrics from the telemetry store.
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Args:
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metric_name: The name of the metric to query (e.g., "prompt_tokens")
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start_time: Start time as Unix timestamp
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end_time: End time as Unix timestamp (defaults to now if None)
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granularity: Time granularity for aggregation
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query_type: Type of query (RANGE or INSTANT)
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label_matchers: Label filters to apply
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Returns:
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QueryMetricsResponse with metric time series data
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"""
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# Convert timestamps to datetime objects
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start_dt = datetime.datetime.fromtimestamp(start_time, datetime.UTC)
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end_dt = datetime.datetime.fromtimestamp(end_time, datetime.UTC) if end_time else None
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# Use SQLite trace store if available
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if hasattr(self, "trace_store") and self.trace_store:
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return await self.trace_store.query_metrics(
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metric_name=metric_name,
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start_time=start_dt,
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end_time=end_dt,
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granularity=granularity,
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query_type=query_type,
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label_matchers=label_matchers,
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)
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else:
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raise ValueError(
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f"In order to query_metrics, you must have {TelemetrySink.SQLITE} set in your telemetry sinks"
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)
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def _log_unstructured(self, event: UnstructuredLogEvent, ttl_seconds: int) -> None:
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with self._lock:
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