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52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
from __future__ import annotations
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from typing import Any
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import pytest
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from deeptutor.agents.question.agents.followup_agent import FollowupAgent
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class CaptureFollowupAgent(FollowupAgent):
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"""``FollowupAgent`` subclass that records every system prompt sent to
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the LLM (so the language-directive injection can be asserted), while
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short-circuiting the actual network call."""
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def __init__(self, language: str = "zh") -> None:
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self.language = language
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self.prompts: dict[str, Any] = {
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"system": "Followup system",
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"answer_followup": (
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"Question context:\n{question_context}\n\n"
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"Conversation history:\n{history_context}\n\n"
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"User follow-up:\n{user_message}\n"
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),
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}
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self.captured_system_prompts: list[str] = []
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async def stream_llm(self, **kwargs): # type: ignore[override]
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self.captured_system_prompts.append(str(kwargs["system_prompt"]))
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yield "已回答"
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@pytest.mark.asyncio
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async def test_followup_agent_appends_language_directive_to_system_prompt() -> None:
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agent = CaptureFollowupAgent(language="zh")
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reply = await agent.process(
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user_message="为什么这题是这个答案？",
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question_context={
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"question_id": "q_1",
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"question_type": "choice",
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"question": "矩阵乘法什么时候有定义？",
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"correct_answer": "当内维度一致时。",
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"explanation": "矩阵 A 的列数必须等于矩阵 B 的行数。",
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},
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history_context="",
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)
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assert reply == "已回答"
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assert agent.captured_system_prompts
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assert "Followup system" in agent.captured_system_prompts[0]
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assert "请严格使用中文（简体）" in agent.captured_system_prompts[0]
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