test_memory_utils.py

import pytest
from mem0.memory.utils import parse_vision_messages, remove_spaces_from_entities, sanitize_relationship_for_cypher


class TestRemoveSpacesFromEntities:
    """
    Covers behavior used by Neo4j, Memgraph (sanitize_relationship=True),
    Kuzu, and Neptune (sanitize_relationship=False). All backends delegate here.
    """

    @pytest.mark.parametrize(
        "sanitize",
        [True, False],
        ids=["cypher_sanitized", "plain"],
    )
    def test_filters_empty_and_incomplete_dicts(self, sanitize):
        mixed = [
            {},
            {"source": "a"},
            {"source": "a", "relationship": "r"},
            {"source": "x", "relationship": "rel", "destination": "y"},
        ]
        out = remove_spaces_from_entities(mixed, sanitize_relationship=sanitize)
        assert len(out) == 1
        assert out[0]["source"] == "x"
        assert out[0]["destination"] == "y"

    @pytest.mark.parametrize("sanitize", [True, False])
    def test_all_empty_returns_empty(self, sanitize):
        assert remove_spaces_from_entities([{}, {}, {}], sanitize_relationship=sanitize) == []

    def test_skips_non_dict_entries(self):
        assert remove_spaces_from_entities([None, "not-a-dict", 123, {"source": "a", "relationship": "r", "destination": "b"}]) == [
            {"source": "a", "relationship": "r", "destination": "b"}
        ]

    def test_sanitize_true_relationship_uses_sanitizer(self):
        """Neo4j / Memgraph path: special characters mapped via sanitize_relationship_for_cypher."""
        entities = [{"source": "A", "relationship": "x/y", "destination": "B"}]
        out = remove_spaces_from_entities(entities, sanitize_relationship=True)
        assert out[0]["relationship"] == sanitize_relationship_for_cypher("x/y".lower().replace(" ", "_"))

    def test_sanitize_false_relationship_plain_only(self):
        """Kuzu / Neptune path: only lowercase and spaces to underscores."""
        entities = [{"source": "A", "relationship": "Works At", "destination": "B Co"}]
        out = remove_spaces_from_entities(entities, sanitize_relationship=False)
        assert out[0]["relationship"] == "works_at"
        assert out[0]["source"] == "a"
        assert out[0]["destination"] == "b_co"

    def test_sanitize_true_vs_false_slash_in_relationship(self):
        """Slash is rewritten when sanitizing (Cypher path); kept as-is for plain path."""
        base = {"source": "s", "relationship": "a/b", "destination": "d"}
        t = remove_spaces_from_entities([dict(base)], sanitize_relationship=True)[0]["relationship"]
        f = remove_spaces_from_entities([dict(base)], sanitize_relationship=False)[0]["relationship"]
        assert t == sanitize_relationship_for_cypher("a/b")
        assert f == "a/b"


class TestParseVisionMessages:
    def test_flattens_openai_text_parts_without_vision_llm(self):
        messages = [
            {"role": "user", "content": "你好"},
            {
                "role": "user",
                "content": [
                    {"type": "text", "text": "For context:"},
                    {"type": "text", "text": "xxxxxxx"},
                ],
            },
        ]

        assert parse_vision_messages(messages) == [
            {"role": "user", "content": "你好"},
            {"role": "user", "content": "For context:\nxxxxxxx"},
        ]

    def test_uses_llm_for_list_content_when_vision_enabled(self, mocker):
        mock_llm = mocker.Mock()
        mock_llm.generate_response.return_value = "image description"
        message = {
            "role": "user",
            "content": [
                {"type": "text", "text": "Describe this"},
                {"type": "image_url", "image_url": {"url": "data:image/png;base64,abc"}},
            ],
        }

        assert parse_vision_messages([message], llm=mock_llm) == [{"role": "user", "content": "image description"}]
        mock_llm.generate_response.assert_called_once()