#!/usr/bin/env bash set -euo pipefail # CASAN Level 5 business KPI feedback report. # Usage: # business-kpi-report.sh INPUT_JSON="${1:-}" OUTPUT_JSON="${2:-}" if [[ -z "$INPUT_JSON" || -z "$OUTPUT_JSON" ]]; then echo "Usage: business-kpi-report.sh " >&2 exit 64 fi mkdir -p "$(dirname "$OUTPUT_JSON")" python - "$INPUT_JSON" "$OUTPUT_JSON" <<'PY' import json import sys from datetime import datetime, timezone input_path, output_path = sys.argv[1], sys.argv[2] data = json.load(open(input_path, encoding="utf-8")) results = [] for item in data["kpis"]: baseline = float(item["baseline"]) current = float(item["current"]) target = float(item["target"]) direction = item.get("direction", "lower_is_better") if direction == "lower_is_better": improvement = (baseline - current) / baseline if baseline else 0 target_met = current <= target else: improvement = (current - baseline) / baseline if baseline else 0 target_met = current >= target results.append({ "id": item["id"], "baseline": baseline, "current": current, "target": target, "improvement_ratio": round(improvement, 4), "target_met": target_met, }) report = { "timestamp": datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ"), "harness": "L5-business-feedback", "status": "pass" if all(r["target_met"] for r in results) else "warn", "kpis": results, } json.dump(report, open(output_path, "w", encoding="utf-8"), indent=2) print(f"KPI_REPORT status={report['status']} output={output_path}") PY