feat: Metrics Reducer Implementation (TASK-401)#96
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copyleftdev merged 2 commits intomainfrom Jan 11, 2026
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Implements post-run metrics computation from event log with single-pass O(N) algorithm per METRICS.md specification. Metrics computed: - Request metrics (total, success, failed, by method, by status class) - Latency metrics (min, max, mean, p50, p90, p95, p99, p999) - Throughput metrics (duration, requests per tick) - Connection metrics (count, errors, avg connection time) - Error metrics (total, by type, error rate) Also includes HDR Histogram (TASK-400 dependency) for latency percentiles: - Pure Zig implementation with bounded memory (~260KB) - Configurable precision (1-5 significant figures) - O(1) value recording and percentile queries 22 metrics tests + 30 HDR histogram tests, all passing. Tiger Style compliant with 2+ assertions per function. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Problem
TASK-401 requires post-run metrics computation from the event log. Need to compute request counts, latency distribution, throughput, connection metrics, and error rates in a single O(N) pass for performance.
Solution
MetricsReducer implementation with single-pass O(N) algorithm:
Also includes HDR Histogram (TASK-400 dependency) for accurate latency percentiles.
Testing
Changes
src/metrics.zig- MetricsReducer implementationsrc/hdr_histogram.zig- HDR Histogram for latency percentilestests/unit/metrics_test.zig- 22 unit teststests/unit/hdr_histogram_test.zig- 30 unit testssrc/z6.zig- Export typesbuild.zig- Add test targets🤖 Generated with Claude Code