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3b9278f254
# 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>
39 lines
2.1 KiB
JSON
39 lines
2.1 KiB
JSON
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"created_at": "2025-08-11T15:51:18.170868Z",
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"response": "This is the start of a test. I'll provide some sample data and you can try to generate metrics based on it.\n\n**Data:**\n\nLet's say we have a dataset of user interactions with an e-commerce website. The data includes:\n\n| User ID | Product Name | Purchase Date | Quantity | Price |\n| --- | --- | --- | --- | --- |\n| 1 | iPhone 13 | 2022-01-01 | 2 | 999.99 |\n| 1 | MacBook Air | 2022-01-05 | 1 | 1299.99 |\n| 2 | Samsung TV | 2022-01-10 | 3 | 899.99 |\n| 3 | iPhone 13 | 2022-01-15 | 1 | 999.99 |\n| 4 | MacBook Pro | 2022-01-20 | 2 | 1799.99 |\n\n**Task:**\n\nYour task is to generate the following metrics based on this data:\n\n1. Average order value (AOV)\n2. Conversion rate\n3. Average revenue per user (ARPU)\n4. Customer lifetime value (CLV)\n\nPlease provide your answers in a format like this:\n\n| Metric | Value |\n| --- | --- |\n| AOV | 1234.56 |\n| Conversion Rate | 0.25 |\n| ARPU | 1000.00 |\n| CLV | 5000.00 |\n\nGo ahead and generate the metrics!",
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