langchain/tests/integration_tests/vectorstores/test_hologres.py

"""Test Hologres functionality."""
import os
from typing import List

from langchain.docstore.document import Document
from langchain.vectorstores.hologres import Hologres
from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings

CONNECTION_STRING = Hologres.connection_string_from_db_params(
    host=os.environ.get("TEST_HOLOGRES_HOST", "localhost"),
    port=int(os.environ.get("TEST_HOLOGRES_PORT", "80")),
    database=os.environ.get("TEST_HOLOGRES_DATABASE", "postgres"),
    user=os.environ.get("TEST_HOLOGRES_USER", "postgres"),
    password=os.environ.get("TEST_HOLOGRES_PASSWORD", "postgres"),
)


ADA_TOKEN_COUNT = 1536


class FakeEmbeddingsWithAdaDimension(FakeEmbeddings):
    """Fake embeddings functionality for testing."""

    def embed_documents(self, texts: List[str]) -> List[List[float]]:
        """Return simple embeddings."""
        return [
            [float(1.0)] * (ADA_TOKEN_COUNT - 1) + [float(i)] for i in range(len(texts))
        ]

    def embed_query(self, text: str) -> List[float]:
        """Return simple embeddings."""
        return [float(1.0)] * (ADA_TOKEN_COUNT - 1) + [float(0.0)]


def test_hologres() -> None:
    """Test end to end construction and search."""
    texts = ["foo", "bar", "baz"]
    docsearch = Hologres.from_texts(
        texts=texts,
        table_name="test_table",
        embedding=FakeEmbeddingsWithAdaDimension(),
        connection_string=CONNECTION_STRING,
        pre_delete_table=True,
    )
    output = docsearch.similarity_search("foo", k=1)
    assert output == [Document(page_content="foo")]


def test_hologres_embeddings() -> None:
    """Test end to end construction with embeddings and search."""
    texts = ["foo", "bar", "baz"]
    text_embeddings = FakeEmbeddingsWithAdaDimension().embed_documents(texts)
    text_embedding_pairs = list(zip(texts, text_embeddings))
    docsearch = Hologres.from_embeddings(
        text_embeddings=text_embedding_pairs,
        table_name="test_table",
        embedding=FakeEmbeddingsWithAdaDimension(),
        connection_string=CONNECTION_STRING,
        pre_delete_table=True,
    )
    output = docsearch.similarity_search("foo", k=1)
    assert output == [Document(page_content="foo")]


def test_hologres_with_metadatas() -> None:
    """Test end to end construction and search."""
    texts = ["foo", "bar", "baz"]
    metadatas = [{"page": str(i)} for i in range(len(texts))]
    docsearch = Hologres.from_texts(
        texts=texts,
        table_name="test_table",
        embedding=FakeEmbeddingsWithAdaDimension(),
        metadatas=metadatas,
        connection_string=CONNECTION_STRING,
        pre_delete_table=True,
    )
    output = docsearch.similarity_search("foo", k=1)
    assert output == [Document(page_content="foo", metadata={"page": "0"})]


def test_hologres_with_metadatas_with_scores() -> None:
    """Test end to end construction and search."""
    texts = ["foo", "bar", "baz"]
    metadatas = [{"page": str(i)} for i in range(len(texts))]
    docsearch = Hologres.from_texts(
        texts=texts,
        table_name="test_table",
        embedding=FakeEmbeddingsWithAdaDimension(),
        metadatas=metadatas,
        connection_string=CONNECTION_STRING,
        pre_delete_table=True,
    )
    output = docsearch.similarity_search_with_score("foo", k=1)
    assert output == [(Document(page_content="foo", metadata={"page": "0"}), 0.0)]


def test_hologres_with_filter_match() -> None:
    """Test end to end construction and search."""
    texts = ["foo", "bar", "baz"]
    metadatas = [{"page": str(i)} for i in range(len(texts))]
    docsearch = Hologres.from_texts(
        texts=texts,
        table_name="test_table_filter",
        embedding=FakeEmbeddingsWithAdaDimension(),
        metadatas=metadatas,
        connection_string=CONNECTION_STRING,
        pre_delete_table=True,
    )
    output = docsearch.similarity_search_with_score("foo", k=1, filter={"page": "0"})
    assert output == [(Document(page_content="foo", metadata={"page": "0"}), 0.0)]


def test_hologres_with_filter_distant_match() -> None:
    """Test end to end construction and search."""
    texts = ["foo", "bar", "baz"]
    metadatas = [{"page": str(i)} for i in range(len(texts))]
    docsearch = Hologres.from_texts(
        texts=texts,
        table_name="test_table_filter",
        embedding=FakeEmbeddingsWithAdaDimension(),
        metadatas=metadatas,
        connection_string=CONNECTION_STRING,
        pre_delete_table=True,
    )
    output = docsearch.similarity_search_with_score("foo", k=1, filter={"page": "2"})
    assert output == [(Document(page_content="baz", metadata={"page": "2"}), 4.0)]


def test_hologres_with_filter_no_match() -> None:
    """Test end to end construction and search."""
    texts = ["foo", "bar", "baz"]
    metadatas = [{"page": str(i)} for i in range(len(texts))]
    docsearch = Hologres.from_texts(
        texts=texts,
        table_name="test_table_filter",
        embedding=FakeEmbeddingsWithAdaDimension(),
        metadatas=metadatas,
        connection_string=CONNECTION_STRING,
        pre_delete_table=True,
    )
    output = docsearch.similarity_search_with_score("foo", k=1, filter={"page": "5"})
    assert output == []