69 lines
1.9 KiB
TypeScript
69 lines
1.9 KiB
TypeScript
import { assertEquals } from "https://deno.land/std@0.224.0/testing/asserts.ts";
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/**
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* Proof of Concept: Telemetry parsing (OpenTelemetry / Team Friction)
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*
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* Demonstrates the Analyst agent's ability to ingest structured JSON telemetry
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* (like MTTR, PR comment ratios) to optimize workflows.
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*/
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const mockTeamTelemetry = {
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sprint: "Sprint 42",
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metrics: {
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meanTimeToResolution: 14.5, // hours
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prCommentToCodeRatio: 0.8,
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idleHandoffDuration: 5.2, // hours
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},
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};
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const mockOpenTelemetryTrace = {
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traceId: "5b8aa5a2d2c8646c14e4d97e6cdbc134",
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spans: [
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{ name: "db_query", duration_ms: 250 },
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{ name: "serialize_json", duration_ms: 12 },
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{ name: "http_request", duration_ms: 300 },
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],
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};
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function analyzeFriction(telemetry: any): string[] {
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const flags = [];
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if (telemetry.metrics.idleHandoffDuration > 4) {
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flags.push(
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"High idle handoff duration detected. Workflow optimization required.",
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);
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}
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if (telemetry.metrics.prCommentToCodeRatio > 0.5) {
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flags.push(
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"High comment-to-code ratio. Potential ambiguity in requirements.",
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);
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}
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return flags;
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}
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function findPerformanceBottlenecks(trace: any): string[] {
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return trace.spans
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.filter((span: any) => span.duration_ms > 100)
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.map((span: any) => `Bottleneck in ${span.name}: ${span.duration_ms}ms`);
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}
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if (import.meta.main) {
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console.log("Running Telemetry Parsing PoC tests...");
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try {
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const frictionFlags = analyzeFriction(mockTeamTelemetry);
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console.log("Team Friction Analysis:", frictionFlags);
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assertEquals(frictionFlags.length, 2);
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const bottlenecks = findPerformanceBottlenecks(mockOpenTelemetryTrace);
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console.log("Performance Bottlenecks:", bottlenecks);
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assertEquals(bottlenecks.length, 2);
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console.log(
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"✅ Telemetry Parsing PoC successful: Flags and bottlenecks identified.",
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);
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} catch (err) {
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console.error("❌ Telemetry Parsing PoC failed:", err);
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Deno.exit(1);
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}
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}
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