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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"""Unit tests for AdvancedWebSearchAgent helpers and failure classification."""
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from unittest.mock import Mock
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from agent import (
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MAX_ITERATIONS_MESSAGE,
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NO_INFO_MESSAGE,
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SEARCH_ERROR_PREFIX,
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is_failure_answer,
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)
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from examples import AdvancedWebSearchAgent
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def build_advanced(answers):
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"""AdvancedWebSearchAgent without a real OpenAI client; search_and_answer mocked."""
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instance = AdvancedWebSearchAgent.__new__(AdvancedWebSearchAgent)
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instance.search_and_answer = Mock(side_effect=answers)
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instance.clear_history = Mock()
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return instance
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def test_is_failure_answer_covers_every_failure_fallback():
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assert is_failure_answer(f"{SEARCH_ERROR_PREFIX}: boom") is True
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assert is_failure_answer(MAX_ITERATIONS_MESSAGE) is True
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assert is_failure_answer(NO_INFO_MESSAGE) is True
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assert is_failure_answer("北京今天多云。") is False
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def test_batch_search_marks_all_failure_fallbacks_as_error():
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"""search_and_answer never raises; every failure fallback prefix must map to
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status='error', not just the '搜索过程中出现错误' one."""
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answers = [
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"正常答案",
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f"{SEARCH_ERROR_PREFIX}: network down",
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MAX_ITERATIONS_MESSAGE,
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NO_INFO_MESSAGE,
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]
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instance = build_advanced(answers)
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results = instance.batch_search(["q1", "q2", "q3", "q4"])
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assert [r["status"] for r in results] == ["success", "error", "error", "error"]
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assert instance.clear_history.call_count == 4
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