ai-agent-book 精选快照（<2MB 代码与文档，来自 github.com/bojieli/ai-agent-book）

chapter9/trajectory-verifier/test_verifier.py

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+import json
+import unittest
+from pathlib import Path
+
+from calibration import calibration_report
+from verifier import TrajectoryVerifier, diagnostic_utility, scalar_baseline
+
+
+class VerifierTest(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        path = Path(__file__).with_name("sample_trajectories.json")
+        cls.trajectories = json.loads(path.read_text(encoding="utf-8"))
+        cls.reports = [TrajectoryVerifier().evaluate(item) for item in cls.trajectories]
+
+    def test_false_promise_has_evidence(self):
+        report = self.reports[1]
+        failed = {item["dimension"]: item for item in report["dimensions"] if item["verdict"] == "fail"}
+        self.assertIn("promise_action_consistency", failed)
+        self.assertTrue(failed["promise_action_consistency"]["evidence"])
+        self.assertEqual("reject", report["release_recommendation"])
+
+    def test_multidimensional_report_is_more_diagnostic_than_scalar(self):
+        report = self.reports[1]
+        self.assertEqual({"trajectory_id", "score"}, set(scalar_baseline(report)))
+        self.assertEqual(1.0, diagnostic_utility(report))
+
+    def test_calibration_matches_experts(self):
+        calibration = calibration_report(self.trajectories, self.reports)
+        self.assertEqual(1.0, calibration["exact_label_agreement"])
+
+
+if __name__ == "__main__":
+    unittest.main()