mirror of
https://github.com/deepset-ai/haystack.git
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46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
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import pytest
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from typing import Dict, Any
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from haystack.agents.memory import NoMemory, ConversationMemory
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@pytest.mark.unit
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def test_no_memory():
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no_mem = NoMemory()
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assert no_mem.load() == ""
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no_mem.save({"key": "value"})
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no_mem.clear()
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@pytest.mark.unit
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def test_conversation_memory():
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conv_mem = ConversationMemory()
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assert conv_mem.load() == ""
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data: Dict[str, Any] = {"input": "Hello", "output": "Hi there"}
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conv_mem.save(data)
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assert conv_mem.load() == "Human: Hello\nAI: Hi there\n"
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data: Dict[str, Any] = {"input": "How are you?", "output": "I'm doing well, thanks."}
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conv_mem.save(data)
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assert conv_mem.load() == "Human: Hello\nAI: Hi there\nHuman: How are you?\nAI: I'm doing well, thanks.\n"
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assert conv_mem.load(window_size=1) == "Human: How are you?\nAI: I'm doing well, thanks.\n"
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conv_mem.clear()
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assert conv_mem.load() == ""
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@pytest.mark.unit
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def test_conversation_memory_window_size():
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conv_mem = ConversationMemory()
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assert conv_mem.load() == ""
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data: Dict[str, Any] = {"input": "Hello", "output": "Hi there"}
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conv_mem.save(data)
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data: Dict[str, Any] = {"input": "How are you?", "output": "I'm doing well, thanks."}
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conv_mem.save(data)
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assert conv_mem.load() == "Human: Hello\nAI: Hi there\nHuman: How are you?\nAI: I'm doing well, thanks.\n"
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assert conv_mem.load(window_size=1) == "Human: How are you?\nAI: I'm doing well, thanks.\n"
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# clear the memory
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conv_mem.clear()
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assert conv_mem.load() == ""
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assert conv_mem.load(window_size=1) == ""
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