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* fix: align reviewer eval with published findings (#1713) * fix: make reviewer eval reflect published findings Serialize and deduplicate finding persistence, align review calibration around the final six-finding publication, and make judge matching order-independent and auditable. * fix: honor reviewer eval limits Forward configured caps into publication snapshots and keep recall-at-cap bounded for diagnostic all-findings runs. (cherry picked from commit 71e3b8183882bcc42e318f3f220c291617ebcb67) Co-authored-by: Johannes du Plessis <johannes@langchain.dev> * Empty commit to trigger CI --------- Co-authored-by: Johannes du Plessis <johannes@langchain.dev>
179 lines
5.4 KiB
Python
179 lines
5.4 KiB
Python
"""Track the reviewer eval for the admin dashboard.
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The eval itself runs in the ``Reviewer eval`` GitHub Action (durable runner,
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isolated from the serving deployment). The Action's harness reports progress
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into a LangGraph store record (namespace ``["evals"]``, key ``"reviewer"``) via
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``evals.reviewer.store_reporter``; this module reads that record for the
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dashboard and reconciles a run whose heartbeat has gone stale (e.g. the Action
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was killed) to ``failed``.
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"""
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from __future__ import annotations
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import logging
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import os
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from datetime import UTC, datetime
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from typing import Any, Literal, TypedDict
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from langgraph_sdk import get_client
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from agent.reviewer_eval_store import (
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_HEARTBEAT_STALE_SECONDS,
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DEFAULT_EVAL_PROJECT,
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EVALS_NAMESPACE,
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REVIEWER_EVAL_KEY,
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)
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from agent.reviewer_findings import REVIEW_FINDING_CAP
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logger = logging.getLogger(__name__)
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EvalStatus = Literal["idle", "running", "completed", "failed"]
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ScoreMode = Literal["all_findings", "surfaced_findings"]
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Severity = Literal["low", "medium", "high", "critical"]
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class ReviewerEvalConfig(TypedDict):
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dataset_name: str
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experiment_prefix: str
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max_concurrency: int
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langsmith_project: str
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langgraph_url: str
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assistant_id: str
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model_id: str
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reasoning_effort: str
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score_mode: ScoreMode
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severity_threshold: Severity
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cap: int
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DEFAULT_REVIEWER_EVAL_CONFIG: ReviewerEvalConfig = {
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"dataset_name": "openswe-reviewer-v1",
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"experiment_prefix": "openswe-review-confidence",
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"max_concurrency": 5,
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"langsmith_project": DEFAULT_EVAL_PROJECT,
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"langgraph_url": "",
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"assistant_id": "reviewer",
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"model_id": "bedrock_converse:us.anthropic.claude-opus-4-8",
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"reasoning_effort": "medium",
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"score_mode": "surfaced_findings",
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"severity_threshold": "low",
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"cap": REVIEW_FINDING_CAP,
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}
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def _client():
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return get_client()
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def _now_iso() -> str:
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return datetime.now(UTC).isoformat()
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def _resolve_langgraph_url() -> str | None:
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return os.environ.get("LANGGRAPH_URL") or os.environ.get("LANGGRAPH_URL_PROD")
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def _eval_project() -> str:
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return os.environ.get("EVAL_LANGSMITH_PROJECT") or DEFAULT_EVAL_PROJECT
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def _resolve_eval_config(config: ReviewerEvalConfig | None = None) -> ReviewerEvalConfig:
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resolved: ReviewerEvalConfig = {
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**DEFAULT_REVIEWER_EVAL_CONFIG,
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"langsmith_project": _eval_project(),
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"langgraph_url": _resolve_langgraph_url() or "",
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}
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if config is not None:
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resolved.update(config)
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return resolved
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def _idle_record() -> dict[str, Any]:
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config = _resolve_eval_config()
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return {
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"name": REVIEWER_EVAL_KEY,
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"status": "idle",
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"run_name": config["experiment_prefix"],
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"langsmith_project": config["langsmith_project"],
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"limit": None,
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"config_snapshot": config,
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"started_at": None,
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"finished_at": None,
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"created_by": None,
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"pid": None,
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"exit_code": None,
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"experiment_url": None,
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"error": None,
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"log_tail": None,
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"worker_id": None,
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"heartbeat": None,
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"progress": None,
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"github_run_url": None,
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"trigger": None,
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"updated_at": _now_iso(),
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}
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async def _get_record() -> dict[str, Any] | None:
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try:
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item = await _client().store.get_item(EVALS_NAMESPACE, REVIEWER_EVAL_KEY)
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except Exception as e:
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logger.debug("store get_item failed for reviewer eval: %s", e)
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return None
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if item is None:
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return None
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value = item.get("value") if isinstance(item, dict) else getattr(item, "value", None)
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return value if isinstance(value, dict) else None
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async def _put_record(record: dict[str, Any]) -> dict[str, Any]:
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record = {**record, "updated_at": _now_iso()}
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try:
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await _client().store.put_item(EVALS_NAMESPACE, REVIEWER_EVAL_KEY, record)
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except Exception:
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logger.exception("Failed to persist reviewer eval status")
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return record
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def _heartbeat_age_seconds(record: dict[str, Any]) -> float | None:
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"""Seconds since the record's heartbeat, or ``None`` if absent/unparseable."""
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hb = record.get("heartbeat")
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if not isinstance(hb, str) or not hb:
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return None
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try:
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ts = datetime.fromisoformat(hb)
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except ValueError:
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return None
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if ts.tzinfo is None:
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ts = ts.replace(tzinfo=UTC)
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return (datetime.now(UTC) - ts).total_seconds()
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def _is_heartbeat_fresh(record: dict[str, Any]) -> bool:
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age = _heartbeat_age_seconds(record)
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return age is not None and age <= _HEARTBEAT_STALE_SECONDS
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async def get_reviewer_eval_status() -> dict[str, Any]:
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"""Return the latest reviewer-eval status, reconciling a stale ``running``.
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The GitHub Action refreshes the record's heartbeat while it runs. A poll
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only marks the run failed once the heartbeat is stale, so a healthy run is
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left untouched and a killed Action surfaces as ``failed`` within the stale
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threshold.
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"""
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record = await _get_record()
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if record is None:
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return _idle_record()
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if record.get("status") != "running":
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return record
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if _is_heartbeat_fresh(record):
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return record
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return await _put_record(
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{
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**record,
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"status": "failed",
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"finished_at": record.get("finished_at") or _now_iso(),
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"error": "Eval process is no longer tracked (GitHub Action stopped?).",
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}
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)
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