Assistant: codex Assistant-Model: gpt-5.6-sol Assistant-Session: 01a06ba0-10aa-7ea0-b20a-4f3fac39efe9
181 lines
6 KiB
Python
181 lines
6 KiB
Python
"""Profile-authoritative execution of activity-core ops runs through Glas.
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Glas and sand-boxer are sibling runtime packages rather than hard dependencies
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of rein-aharness's legacy paths. Imports therefore stay at the execution edge:
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profile-absent coexistence continues to work, while a profiled row fails closed
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with an actionable error if the governed runtime is not installed.
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"""
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from __future__ import annotations
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import math
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from collections.abc import Callable
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from typing import Any
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from rein_aharness.execution_cancel import ExecutionCancel, ExecutionCancelled, resolve_cancel
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from rein_aharness.ops_run_client import OpsRun, OpsRunConfig, resolve_ops_target
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GLAS_APPROACH = "glas-profile"
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GLAS_ACTOR = "agt"
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_SCALAR_REFS = (
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"correlation_id",
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"assignment_ref",
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"role_ref",
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"duty_ref",
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)
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_LIST_REFS = ("goal_refs", "resource_envelope_refs")
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_EVIDENCE_STRING_FIELDS = (
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"request_id",
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"correlation_id",
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"actor",
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"project",
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"target_repo",
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"contract_version",
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"profile_ref",
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"rein_id",
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"rein_version",
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"model_route",
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"resolved_model",
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"sandbox_profile",
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"sandbox_id",
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"tool_profile",
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"outcome",
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"failure_stage",
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"error",
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"started_at",
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"finished_at",
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"commit_sha",
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"tool_events_completeness",
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)
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_EVIDENCE_NUMBER_FIELDS = (
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"duration_s",
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"tokens_spent",
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"token_budget",
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"tool_events_count",
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)
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class GlasExecutionError(RuntimeError):
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"""The authoritative Glas invocation could not produce a GatewayResult."""
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def normalise_execution_evidence_for_close(raw: Any) -> dict[str, Any]:
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"""Retain only bounded Glas evidence fields safe for durable close state."""
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if not isinstance(raw, dict):
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return {}
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result: dict[str, Any] = {}
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for key in _EVIDENCE_STRING_FIELDS:
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value = raw.get(key)
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if isinstance(value, str):
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result[key] = value[:2000] if key == "error" else value[:500]
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for key in _EVIDENCE_NUMBER_FIELDS:
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value = raw.get(key)
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if (
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isinstance(value, (int, float))
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and not isinstance(value, bool)
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and math.isfinite(value)
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and value >= 0
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):
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result[key] = value
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artifacts = raw.get("artifacts")
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if isinstance(artifacts, list):
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result["artifacts"] = [
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item[:1000]
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for item in artifacts[:20]
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if isinstance(item, str) and item
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]
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refs: dict[str, Any] = {}
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raw_refs = raw.get("refs")
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if isinstance(raw_refs, dict):
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for key in _SCALAR_REFS:
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value = raw_refs.get(key)
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if isinstance(value, str) and value:
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refs[key] = value[:500]
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for key in _LIST_REFS:
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value = raw_refs.get(key)
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if isinstance(value, list):
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refs[key] = [
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item[:500]
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for item in value[:50]
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if isinstance(item, str) and item
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]
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if refs:
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result["refs"] = refs
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return result
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def _request_kwargs(run: OpsRun, config: OpsRunConfig, report_to_hub: bool) -> dict[str, Any]:
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if not run.harness_profile_ref:
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raise GlasExecutionError(f"ops_run {run.id} has no harness_profile_ref")
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refs = run.execution_refs
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kwargs: dict[str, Any] = {
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"harness_profile_ref": run.harness_profile_ref,
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"repo": str(resolve_ops_target(run, config)),
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"title": run.title or "(untitled)",
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"description": run.description or "",
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# Activity Core's worker_id owns the queue lease; it is not a Glas
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# actor type. Sand-boxer validates governed execution actors as
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# adm|agt|atm, so this runtime enters the gateway as an agent.
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"actor": GLAS_ACTOR,
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"project": "rein-aharness",
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"request_id": run.id,
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"report_to_hub": report_to_hub,
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}
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for key in _SCALAR_REFS:
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value = refs.get(key)
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if isinstance(value, str) and value:
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kwargs[key] = value
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for key in _LIST_REFS:
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value = refs.get(key)
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if isinstance(value, list):
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kwargs[key] = [item for item in value if isinstance(item, str)]
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return kwargs
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def execute_profiled_run(
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run: OpsRun,
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config: OpsRunConfig,
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*,
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report_to_hub: bool = True,
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request_factory: Callable[..., Any] | None = None,
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gateway: Callable[[Any], Any] | None = None,
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cancel: ExecutionCancel | None = None,
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) -> dict[str, Any]:
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"""Invoke Glas and return its complete JSON-compatible GatewayResult."""
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guard = resolve_cancel(cancel)
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if guard is not None:
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guard.check()
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if request_factory is None or gateway is None:
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try:
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from glas_harness.contract import ExecutionRequest
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from glas_harness.gateway import run_execution
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except ImportError as exc:
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raise GlasExecutionError(
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"profiled ops_run requires glas-harness with sand-boxer support; "
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"install the sibling checkouts into the claim-worker environment"
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) from exc
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request_factory = request_factory or ExecutionRequest
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gateway = gateway or run_execution
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try:
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request = request_factory(**_request_kwargs(run, config, report_to_hub))
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result = gateway(request)
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raw = result.model_dump(mode="json") if hasattr(result, "model_dump") else result
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except ExecutionCancelled:
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raise
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except GlasExecutionError:
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raise
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except Exception as exc:
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if guard is not None and guard.cancelled:
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raise ExecutionCancelled(guard.reason or "cancelled") from None
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raise GlasExecutionError(f"Glas gateway invocation failed: {exc}") from exc
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if guard is not None:
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guard.check()
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if not isinstance(raw, dict) or not isinstance(raw.get("ok"), bool):
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raise GlasExecutionError("Glas gateway returned an invalid GatewayResult")
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if not isinstance(raw.get("evidence"), dict):
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raise GlasExecutionError("Glas GatewayResult is missing execution evidence")
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return raw
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