重构仓库目录为统一的 runtime 分层并清理历史 openclaw 残留。

本次迁移将网关/通道/工具/技能/脚本与协议资源集中到新结构，统一路径常量与脚本转发机制，减少顶层噪音并保证运行与测试行为一致。

Made-with: Cursor

runtime/tools/evals/runner.py

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+from __future__ import annotations
+
+import json
+import time
+from pathlib import Path
+from dataclasses import dataclass
+from typing import Any
+
+from oclaw.runtime.agents.factory import build_gateway_executor
+from oclaw.platform.persistence.sqlite_store import SqliteStore
+from oclaw.runtime.orchestration.evaluation import eval_summary
+from oclaw.platform.config.paths import db_path
+from oclaw.runtime.gateway import OclawGateway
+from oclaw.runtime.types import StandardMessage
+
+
+@dataclass(frozen=True)
+class EvalCase:
+    case_id: str
+    input_text: str
+    assert_contains: list[str]
+    assert_not_contains: list[str]
+
+
+@dataclass(frozen=True)
+class EvalCaseResult:
+    case_id: str
+    ok: bool
+    latency_ms: int
+    failures: list[str]
+
+
+def _load_dataset(dataset_path: str) -> list[EvalCase]:
+    ds = Path(dataset_path)
+    if not ds.exists():
+        raise FileNotFoundError(dataset_path)
+    cases: list[EvalCase] = []
+    with ds.open("r", encoding="utf-8") as f:
+        for idx, line in enumerate(f, start=1):
+            raw = line.strip()
+            if not raw:
+                continue
+            row = json.loads(raw)
+            input_text = str(row.get("input") or "").strip()
+            if not input_text:
+                continue
+            case_id = str(row.get("id") or row.get("case_id") or f"line-{idx}").strip()
+            ac = row.get("assert_contains") or []
+            anc = row.get("assert_not_contains") or []
+            assert_contains = [str(x) for x in ac if str(x).strip()]
+            assert_not_contains = [str(x) for x in anc if str(x).strip()]
+            cases.append(
+                EvalCase(
+                    case_id=case_id,
+                    input_text=input_text,
+                    assert_contains=assert_contains,
+                    assert_not_contains=assert_not_contains,
+                )
+            )
+    return cases
+
+
+def run_eval(
+    dataset_path: str,
+    *,
+    report_path: str | None = None,
+    limit: int | None = None,
+) -> dict[str, Any]:
+    """Run a simple offline regression eval.
+
+    Dataset format: JSONL, each line:
+      {"id": "...", "input": "...", "assert_contains": ["..."], "assert_not_contains": ["..."]}
+    """
+    store = SqliteStore(db_path())
+    agent = build_gateway_executor(store)
+    session = store.create_session("offline-eval")
+    gw = OclawGateway(store=store)
+    cases = _load_dataset(dataset_path)
+    if limit is not None:
+        cases = cases[: max(0, int(limit))]
+
+    results: list[EvalCaseResult] = []
+    for c in cases:
+        t0 = time.perf_counter()
+        msg = StandardMessage(
+            session_id=str(session.id),
+            tenant_id="",
+            user_id="",
+            role="owner",
+            channel="eval",
+            text=str(c.input_text or ""),
+            attachments=[],
+            metadata={"channel": "eval"},
+        )
+        out = str(gw.handle_turn(msg=msg, lang="zh", executor=agent).reply_text or "")
+        latency_ms = int((time.perf_counter() - t0) * 1000)
+        failures: list[str] = []
+        for must in c.assert_contains:
+            if must not in out:
+                failures.append(f"missing_substring:{must}")
+        for bad in c.assert_not_contains:
+            if bad in out:
+                failures.append(f"unexpected_substring:{bad}")
+        results.append(EvalCaseResult(case_id=c.case_id, ok=not failures, latency_ms=latency_ms, failures=failures))
+
+    passed = sum(1 for r in results if r.ok)
+    report = {
+        "dataset": str(dataset_path),
+        "total": len(results),
+        "passed": passed,
+        "pass_rate": round((passed / len(results)) if results else 0.0, 4),
+        "results": [
+            {"id": r.case_id, "ok": r.ok, "latency_ms": r.latency_ms, "failures": r.failures} for r in results
+        ],
+        "agent_metrics": eval_summary(store, limit=5000),
+    }
+    if report_path:
+        Path(report_path).parent.mkdir(parents=True, exist_ok=True)
+        Path(report_path).write_text(json.dumps(report, ensure_ascii=False, indent=2), encoding="utf-8")
+    return report
+
+
+if __name__ == "__main__":
+    result = run_eval("data/eval/mvp_tasks.jsonl", report_path="data/eval/report.json")
+    print(json.dumps({k: v for k, v in result.items() if k != "results"}, ensure_ascii=False, indent=2))