ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
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import json
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import tempfile
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import unittest
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from pathlib import Path
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from experience_documents import build_documents, evaluate_retrieval_baselines, outcome_label, write_documents
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class ExperienceDocumentTest(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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dataset = json.loads(Path(__file__).with_name("sample_trajectories.json").read_text(encoding="utf-8"))
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cls.records = dataset["learning_trajectories"]
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cls.cases = dataset["transfer_cases"]
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cls.documents = build_documents(cls.records, validated_on="2026-07-24")
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def test_outcome_has_partial_state(self):
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self.assertEqual("success", outcome_label(0.95))
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self.assertEqual("partial", outcome_label(0.45))
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self.assertEqual("failure", outcome_label(0.1))
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def test_markdown_is_cross_trajectory_document(self):
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web = next(item for item in self.documents if item.task_family == "web_research")
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markdown = web.to_markdown()
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self.assertIn("## 推荐策略", markdown)
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self.assertIn("## 常见误区", markdown)
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self.assertIn("gaia-web-01 (success", markdown)
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self.assertIn("gaia-web-03 (failure", markdown)
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self.assertIn("verify the answer with a primary source", markdown)
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self.assertNotIn("stop at the first search result", web.recommended_strategies)
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def test_document_baseline_transfers_without_negative_guidance(self):
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report = evaluate_retrieval_baselines(self.records, self.documents, self.cases)
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knowledge = report["knowledge_document"]
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self.assertEqual(1.0, knowledge["transfer_success_rate"])
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self.assertEqual(0.0, knowledge["negative_transfer_rate"])
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self.assertGreater(knowledge["average_retrieved_characters"], 0)
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def test_writes_markdown_files(self):
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with tempfile.TemporaryDirectory() as directory:
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paths = write_documents(self.documents, Path(directory))
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self.assertEqual(2, len(paths))
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self.assertTrue(all(path.suffix == ".md" for path in paths))
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def test_build_documents_tolerates_missing_environment_score(self):
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# outcome_label already reads the score with .get(default); the sources
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# line must too, otherwise a record missing environment_score raises
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# KeyError instead of scoring 0.0.
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record = {
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"id": "gaia-x",
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"task_family": "web_research",
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"observed_strategies": ["s"],
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"mistakes": [],
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"exceptions": [],
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"applies_when": [],
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"capabilities": [],
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}
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documents = build_documents([record])
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self.assertEqual(1, len(documents))
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self.assertIn("gaia-x (failure, score=0.00)", documents[0].sources)
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if __name__ == "__main__":
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unittest.main()
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