"""Test memory functionality."""
from langchain.chains.conversation.memory import ConversationSummaryBufferMemory
from tests.unit_tests.llms.fake_llm import FakeLLM


def test_summary_buffer_memory_no_buffer_yet() -> None:
    """Test ConversationSummaryBufferMemory when no inputs put in buffer yet."""
    memory = ConversationSummaryBufferMemory(llm=FakeLLM(), memory_key="baz")
    output = memory.load_memory_variables({})
    assert output == {"baz": ""}


def test_summary_buffer_memory_buffer_only() -> None:
    """Test ConversationSummaryBufferMemory when only buffer."""
    memory = ConversationSummaryBufferMemory(llm=FakeLLM(), memory_key="baz")
    memory.save_context({"input": "bar"}, {"output": "foo"})
    assert memory.buffer == ["Human: bar\nAI: foo"]
    output = memory.load_memory_variables({})
    assert output == {"baz": "Human: bar\nAI: foo"}


def test_summary_buffer_memory_summary() -> None:
    """Test ConversationSummaryBufferMemory when only buffer."""
    memory = ConversationSummaryBufferMemory(
        llm=FakeLLM(), memory_key="baz", max_token_limit=13
    )
    memory.save_context({"input": "bar"}, {"output": "foo"})
    memory.save_context({"input": "bar1"}, {"output": "foo1"})
    assert memory.buffer == ["Human: bar1\nAI: foo1"]
    output = memory.load_memory_variables({})
    assert output == {"baz": "foo\nHuman: bar1\nAI: foo1"}