forked from Archives/langchain
32 lines
1.4 KiB
Python
32 lines
1.4 KiB
Python
"""Test memory functionality."""
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from langchain.chains.conversation.memory import ConversationSummaryBufferMemory
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from tests.unit_tests.llms.fake_llm import FakeLLM
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def test_summary_buffer_memory_no_buffer_yet() -> None:
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"""Test ConversationSummaryBufferMemory when no inputs put in buffer yet."""
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memory = ConversationSummaryBufferMemory(llm=FakeLLM(), memory_key="baz")
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output = memory.load_memory_variables({})
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assert output == {"baz": ""}
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def test_summary_buffer_memory_buffer_only() -> None:
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"""Test ConversationSummaryBufferMemory when only buffer."""
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memory = ConversationSummaryBufferMemory(llm=FakeLLM(), memory_key="baz")
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memory.save_context({"input": "bar"}, {"output": "foo"})
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assert memory.buffer == ["Human: bar\nAI: foo"]
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output = memory.load_memory_variables({})
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assert output == {"baz": "Human: bar\nAI: foo"}
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def test_summary_buffer_memory_summary() -> None:
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"""Test ConversationSummaryBufferMemory when only buffer."""
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memory = ConversationSummaryBufferMemory(
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llm=FakeLLM(), memory_key="baz", max_token_limit=13
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)
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memory.save_context({"input": "bar"}, {"output": "foo"})
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memory.save_context({"input": "bar1"}, {"output": "foo1"})
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assert memory.buffer == ["Human: bar1\nAI: foo1"]
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output = memory.load_memory_variables({})
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assert output == {"baz": "foo\nHuman: bar1\nAI: foo1"}
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