tegwick
2c2a6073ff
T06: optimization-case schema, fail-closed evaluator, cadence and decision template. Every option including the baseline must present all ten decision fields; one unknown blocks the comparison. Validated on the storage case (Hetzner computes and loses to Scaleway by EUR 29.14/month on operator labour; Host Europe blocks on four named gaps) and on the non-storage reef-railiance k3s rightsizing case (low utilization is real, but nothing is costable while the railiance01 price is unknown). T07: portfolio report over coverage, lifecycle, utilization, cost, renewals, risks, open cases, and next actions, derived only from committed evidence. Portfolio spend is reported null rather than as a partial sum, unattributed cost is a named list rather than a spread, and unmeasurable resources are reported rather than dropped. RESOURCE-WP-0003 is finished; both cases remain blocked_on_evidence against live delegated records in other repositories. RESOURCE-WP-0002 is untouched. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
#!/usr/bin/env python3
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"""Compare monthly resource actuals with the immutable decision forecast."""
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from __future__ import annotations
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import json
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import sys
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from pathlib import Path
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METRICS = (
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"database_gb", "stored_gb", "wal_gb", "restore_egress_gb",
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"write_requests", "read_requests", "infrastructure_eur",
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"internal_labor_hours", "internal_labor_eur", "total_eur",
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)
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def compare(forecast: dict, actual: dict) -> dict:
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expected = {row["period"]: row for row in forecast["rows"]}
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rows = []
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for observed in actual["rows"]:
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period = observed["period"]
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if period not in expected:
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rows.append({"period": period, "status": "no-forecast", "metrics": {}})
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continue
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metrics = {}
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for metric in METRICS:
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planned = expected[period][metric]
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measured = observed[metric]
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error = measured - planned
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metrics[metric] = {
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"forecast": planned,
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"actual": measured,
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"error": round(error, 4),
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"absolute_percentage_error": None if planned == 0 else round(abs(error) / planned * 100, 2),
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}
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rows.append({"period": period, "status": "compared", "metrics": metrics})
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return {
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"forecast_created_at": forecast["created_at"],
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"provider_id": actual["provider_id"],
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"rows": rows,
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}
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def main() -> int:
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if len(sys.argv) != 3:
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print(f"usage: {sys.argv[0]} FORECAST.json ACTUAL.json", file=sys.stderr)
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return 2
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forecast = json.loads(Path(sys.argv[1]).read_text())
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actual = json.loads(Path(sys.argv[2]).read_text())
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print(json.dumps(compare(forecast, actual), indent=2))
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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