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