generated from coulomb/repo-seed
Separated open-cmis-tck and guide-board repositories
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162
src/guide_board/gates.py
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162
src/guide_board/gates.py
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"""Quality gate evaluation for retained run trends."""
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from __future__ import annotations
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from datetime import datetime, timezone
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from typing import Any
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def evaluate_trend_gates(
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trend_summary: dict[str, Any],
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*,
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allowed_statuses: list[str] | None = None,
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max_unexpected_findings: int = 0,
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fail_on_regression: bool = True,
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target_profile_ref: str | None = None,
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assessment_profile_ref: str | None = None,
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) -> dict[str, Any]:
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allowed = allowed_statuses or ["completed"]
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selected_groups = [
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group
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for group in trend_summary.get("groups", [])
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if _matches_group(group, target_profile_ref, assessment_profile_ref)
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]
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group_results = [
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_evaluate_group(group, allowed, max_unexpected_findings, fail_on_regression)
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for group in selected_groups
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]
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if not group_results:
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group_results.append(
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{
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"id": "no-matching-history",
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"target_profile_ref": target_profile_ref,
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"assessment_profile_ref": assessment_profile_ref,
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"status": "failed",
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"latest_run_ref": None,
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"checks": [
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{
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"id": "history-present",
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"status": "failed",
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"observed": 0,
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"expected": "at least one retained run",
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"message": "No retained run history matched the gate selection.",
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}
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],
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}
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)
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failed_groups = sum(1 for group in group_results if group["status"] == "failed")
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passed_groups = len(group_results) - failed_groups
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now = datetime.now(timezone.utc)
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return {
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"id": f"gate-summary:{now.strftime('%Y%m%dT%H%M%SZ')}",
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"created_at": now.isoformat(),
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"trend_summary_ref": trend_summary["id"],
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"status": "failed" if failed_groups else "passed",
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"policy": {
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"allowed_statuses": allowed,
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"max_unexpected_findings": max_unexpected_findings,
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"fail_on_regression": fail_on_regression,
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"target_profile_ref": target_profile_ref,
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"assessment_profile_ref": assessment_profile_ref,
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},
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"group_count": len(group_results),
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"passed_groups": passed_groups,
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"failed_groups": failed_groups,
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"groups": group_results,
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}
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def _matches_group(
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group: dict[str, Any],
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target_profile_ref: str | None,
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assessment_profile_ref: str | None,
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) -> bool:
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if target_profile_ref and group.get("target_profile_ref") != target_profile_ref:
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return False
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if (
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assessment_profile_ref
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and group.get("assessment_profile_ref") != assessment_profile_ref
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):
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return False
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return True
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def _evaluate_group(
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group: dict[str, Any],
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allowed_statuses: list[str],
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max_unexpected_findings: int,
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fail_on_regression: bool,
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) -> dict[str, Any]:
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latest = group.get("latest_run", {})
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trend = group.get("trend", {})
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checks = [
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_latest_status_check(latest, allowed_statuses),
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_unexpected_findings_check(latest, max_unexpected_findings),
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]
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if fail_on_regression:
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checks.append(_regression_check(trend))
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failed = any(check["status"] == "failed" for check in checks)
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return {
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"id": group.get("id"),
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"target_profile_ref": group.get("target_profile_ref"),
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"assessment_profile_ref": group.get("assessment_profile_ref"),
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"status": "failed" if failed else "passed",
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"latest_run_ref": latest.get("run_id"),
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"checks": checks,
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}
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def _latest_status_check(
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latest: dict[str, Any],
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allowed_statuses: list[str],
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) -> dict[str, Any]:
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observed = latest.get("status", "unknown")
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passed = observed in allowed_statuses
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return {
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"id": "latest-status",
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"status": "passed" if passed else "failed",
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"observed": observed,
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"expected": allowed_statuses,
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"message": "Latest retained run status is acceptable."
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if passed
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else "Latest retained run status is outside the gate policy.",
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}
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def _unexpected_findings_check(
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latest: dict[str, Any],
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max_unexpected_findings: int,
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) -> dict[str, Any]:
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observed = _int_value(latest.get("unexpected_findings", 0))
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passed = observed <= max_unexpected_findings
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return {
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"id": "unexpected-findings",
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"status": "passed" if passed else "failed",
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"observed": observed,
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"expected": f"<= {max_unexpected_findings}",
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"message": "Unexpected finding count is within policy."
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if passed
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else "Unexpected finding count exceeds policy.",
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}
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def _regression_check(trend: dict[str, Any]) -> dict[str, Any]:
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observed = trend.get("direction", "insufficient-history")
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passed = observed != "regressed"
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return {
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"id": "trend-regression",
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"status": "passed" if passed else "failed",
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"observed": observed,
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"expected": "not regressed",
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"message": "Latest trend has not regressed."
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if passed
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else "Latest trend regressed compared with the previous retained run.",
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}
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def _int_value(value: Any) -> int:
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return value if isinstance(value, int) and not isinstance(value, bool) else 0
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