| import pytest |
| from chromadb.api.types import Documents, Embeddings |
|
|
| from embedchain.config.embedder.base import BaseEmbedderConfig |
| from embedchain.embedder.base import BaseEmbedder |
|
|
|
|
| @pytest.fixture |
| def base_embedder(): |
| return BaseEmbedder() |
|
|
|
|
| def test_initialization(base_embedder): |
| assert isinstance(base_embedder.config, BaseEmbedderConfig) |
| |
| assert not hasattr(base_embedder, "embedding_fn") |
| assert not hasattr(base_embedder, "vector_dimension") |
|
|
|
|
| def test_set_embedding_fn(base_embedder): |
| def embedding_function(texts: Documents) -> Embeddings: |
| return [f"Embedding for {text}" for text in texts] |
|
|
| base_embedder.set_embedding_fn(embedding_function) |
| assert hasattr(base_embedder, "embedding_fn") |
| assert callable(base_embedder.embedding_fn) |
| embeddings = base_embedder.embedding_fn(["text1", "text2"]) |
| assert embeddings == ["Embedding for text1", "Embedding for text2"] |
|
|
|
|
| def test_set_embedding_fn_when_not_a_function(base_embedder): |
| with pytest.raises(ValueError): |
| base_embedder.set_embedding_fn(None) |
|
|
|
|
| def test_set_vector_dimension(base_embedder): |
| base_embedder.set_vector_dimension(256) |
| assert hasattr(base_embedder, "vector_dimension") |
| assert base_embedder.vector_dimension == 256 |
|
|
|
|
| def test_set_vector_dimension_type_error(base_embedder): |
| with pytest.raises(TypeError): |
| base_embedder.set_vector_dimension(None) |
|
|
|
|
| def test_embedder_with_config(): |
| embedder = BaseEmbedder(BaseEmbedderConfig()) |
| assert isinstance(embedder.config, BaseEmbedderConfig) |
|
|
