From bc8540e6e2f238f12e3474e1d7e8a184113ba4e6 Mon Sep 17 00:00:00 2001 From: Jon Besga Date: Thu, 24 Oct 2024 13:24:38 +0100 Subject: [PATCH 1/3] Improve import system (#175) * Improve import system for cohere * Improve import system for openai * Improve import system for anthropic * Improve import system for sentence_transformers * Fix async tests to support older Python versions * Add tox for multiversion testing * Reorganise dependencies * Add qdrant to extras * Move llama-index to experimental group * Update lock file --- .github/workflows/pr-e2e-tests.yaml | 2 +- .github/workflows/pr.yaml | 2 +- .github/workflows/scheduled-e2e-tests.yaml | 2 +- docs/source/index.rst | 2 +- poetry.lock | 1574 +++++++---------- pyproject.toml | 70 +- src/neo4j_graphrag/embeddings/openai.py | 33 +- .../embeddings/sentence_transformers.py | 20 +- src/neo4j_graphrag/llm/anthropic_llm.py | 16 +- src/neo4j_graphrag/llm/cohere_llm.py | 21 +- src/neo4j_graphrag/llm/openai_llm.py | 32 +- tests/unit/embeddings/test_openai_embedder.py | 29 +- .../embeddings/test_sentence_transformers.py | 37 +- tests/unit/llm/test_anthropic_llm.py | 24 +- tests/unit/llm/test_cohere_llm.py | 20 +- tests/unit/llm/test_openai_llm.py | 31 +- tox.ini | 11 + 17 files changed, 861 insertions(+), 1065 deletions(-) create mode 100644 tox.ini diff --git a/.github/workflows/pr-e2e-tests.yaml b/.github/workflows/pr-e2e-tests.yaml index 16eecc2e..76b7327f 100644 --- a/.github/workflows/pr-e2e-tests.yaml +++ b/.github/workflows/pr-e2e-tests.yaml @@ -77,7 +77,7 @@ jobs: key: ${{ runner.os }}-venv-${{ matrix.python-version }}-${{ hashFiles('**/poetry.lock') }} - name: Install dependencies if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true' - run: poetry install --no-interaction --no-cache --with dev + run: poetry install --no-interaction --no-cache --with dev --all-extras - name: Clear Poetry cache run: poetry cache clear --all . - name: Show disk usage after Poetry installation diff --git a/.github/workflows/pr.yaml b/.github/workflows/pr.yaml index 797d9fd7..19c92be0 100644 --- a/.github/workflows/pr.yaml +++ b/.github/workflows/pr.yaml @@ -32,7 +32,7 @@ jobs: key: venv-${{ runner.os }}-${{ matrix.python-version }}-${{ hashFiles('**/poetry.lock') }} - name: Install dependencies if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true' - run: poetry install --no-interaction + run: poetry install --no-interaction --all-extras - name: Check format and linting run: | poetry run ruff check . diff --git a/.github/workflows/scheduled-e2e-tests.yaml b/.github/workflows/scheduled-e2e-tests.yaml index 094be3cb..5c924a41 100644 --- a/.github/workflows/scheduled-e2e-tests.yaml +++ b/.github/workflows/scheduled-e2e-tests.yaml @@ -85,7 +85,7 @@ jobs: key: ${{ runner.os }}-venv-${{ matrix.python-version }}-${{ hashFiles('**/poetry.lock') }} - name: Install dependencies if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true' - run: poetry install --no-interaction --no-cache --with dev + run: poetry install --no-interaction --no-cache --with dev --all-extras - name: Clear Poetry cache run: poetry cache clear --all . - name: Show disk usage after Poetry installation diff --git a/docs/source/index.rst b/docs/source/index.rst index c4744cc8..f86a9b4a 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -194,7 +194,7 @@ Install dependencies .. code:: bash - poetry install + poetry install --all-extras *************** Getting started diff --git a/poetry.lock b/poetry.lock index eacf1e4a..3b0f41ad 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,10 +1,10 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. 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clients." -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "Authlib-1.3.1-py2.py3-none-any.whl", hash = "sha256:d35800b973099bbadc49b42b256ecb80041ad56b7fe1216a362c7943c088f377"}, @@ -282,7 +268,7 @@ dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"] name = "beautifulsoup4" version = "4.12.3" description = "Screen-scraping library" -optional = false +optional = true python-versions = ">=3.6.0" files = [ {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"}, @@ -299,52 +285,11 @@ charset-normalizer = ["charset-normalizer"] html5lib = ["html5lib"] lxml = ["lxml"] -[[package]] -name = "boto3" -version = "1.35.43" -description = "The AWS SDK for Python" -optional = false -python-versions = ">=3.8" -files = [ - {file = "boto3-1.35.43-py3-none-any.whl", hash = "sha256:e6a50a0599f75b21de0de1a551a0564793d25b304fa623e4052e527b268de734"}, - {file = "boto3-1.35.43.tar.gz", 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python-versions = ">=3.9" files = [ {file = "tiktoken-0.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b07e33283463089c81ef1467180e3e00ab00d46c2c4bbcef0acab5f771d6695e"}, @@ -4880,7 +4672,7 @@ blobfile = ["blobfile (>=2)"] name = "tokenizers" version = "0.20.1" description = "" -optional = false +optional = true python-versions = ">=3.7" files = [ {file = "tokenizers-0.20.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:439261da7c0a5c88bda97acb284d49fbdaf67e9d3b623c0bfd107512d22787a9"}, @@ -5004,22 +4796,11 @@ files = [ {file = "tomli-2.0.2.tar.gz", hash = "sha256:d46d457a85337051c36524bc5349dd91b1877838e2979ac5ced3e710ed8a60ed"}, ] -[[package]] -name = "tomlkit" -version = "0.13.2" -description = "Style preserving TOML library" -optional = false -python-versions = ">=3.8" -files = [ - {file = "tomlkit-0.13.2-py3-none-any.whl", hash = "sha256:7a974427f6e119197f670fbbbeae7bef749a6c14e793db934baefc1b5f03efde"}, - {file = "tomlkit-0.13.2.tar.gz", hash = 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custom Deep Learning operations" -optional = false +optional = true python-versions = "*" files = [ {file = "triton-3.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b0dd10a925263abbe9fa37dcde67a5e9b2383fc269fdf59f5657cac38c5d1d8"}, @@ -5202,22 +4959,11 @@ build = ["cmake (>=3.20)", "lit"] tests = ["autopep8", "flake8", "isort", "llnl-hatchet", "numpy", "pytest", "scipy (>=1.7.1)"] tutorials = ["matplotlib", "pandas", "tabulate"] -[[package]] -name = "types-mock" -version = "5.1.0.20240425" -description = "Typing stubs for mock" -optional = false -python-versions = ">=3.8" -files = [ - {file = "types-mock-5.1.0.20240425.tar.gz", hash = "sha256:5281a645d72e827d70043e3cc144fe33b1c003db084f789dc203aa90e812a5a4"}, - {file = "types_mock-5.1.0.20240425-py3-none-any.whl", hash = "sha256:d586a01d39ad919d3ddcd73de6cde73ca7f3c69707219f722d1b8d7733641ad7"}, -] - [[package]] name = "types-requests" version = "2.31.0.6" description = "Typing stubs for requests" 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"0c52f5ece4b6b909273fbdc9afa3baaa088db66e9f0be3f4926c4482400b618c" diff --git a/pyproject.toml b/pyproject.toml index 61fd756e..abf775ee 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -31,62 +31,49 @@ from = "src" python = "^3.9.0" neo4j = "^5.17.0" pydantic = "^2.6.3" -urllib3 = "<2" -weaviate-client = {version = "^4.6.1", optional = true} -pinecone-client = {version = "^4.1.0", optional = true} -types-mock = "^5.1.0.20240425" -eval-type-backport = "^0.2.0" -pypdf = "^4.3.1" -fsspec = "^2024.9.0" +fsspec = {version = "^2024.9.0", optional = true} +langchain-text-splitters = {version = "^0.3.0", optional = true } +pypdf = {version = "^4.3.1", optional = true} pygraphviz = [ {version = "^1.13.0", python = ">=3.10,<4.0.0", optional = true}, {version = "^1.0.0", python = "<3.10", optional = true} ] -google-cloud-aiplatform = {version = "^1.66.0", optional = true} +weaviate-client = {version = "^4.6.1", optional = true } +pinecone-client = {version = "^4.1.0", optional = true } +google-cloud-aiplatform = {version = "^1.66.0", optional = true } cohere = {version = "^5.9.0", optional = true} -anthropic = { version = "^0.34.2", optional = true} mistralai = {version = "^1.0.3", optional = true} qdrant-client = {version = "^1.11.3", optional = true} +llama-index = {version = "^0.10.55", optional = true } +openai = {version = "^1.51.1", optional = true } +anthropic = { version = "^0.36.0", optional = true} +sentence-transformers = {version = "^3.0.0", optional = true } [tool.poetry.group.dev.dependencies] -pylint = "^3.1.0" +urllib3 = "<2" +ruff = "^0.3.0" mypy = "^1.10.0" pytest = "^8.0.2" -pytest-mock = "^3.12.0" -pre-commit = { version = "^3.6.2", python = "^3.9" } coverage = "^7.4.3" -ruff = "^0.3.0" -langchain-text-splitters = "^0.3.0" -weaviate-client = "^4.6.1" -sentence-transformers = "^3.0.0" -pinecone-client = "^4.1.0" -requests = "^2.32.0" -sphinx = { version = "^7.2.6", python = "^3.9" } -tox = "^4.15.1" -numpy = [ - {version = "^1.24.0", python = "<3.12"}, - {version = "^1.26.0", python = ">=3.12"} -] -scipy = [ - {version = "^1", python = "<3.12"}, - {version = "^1.7.0", python = ">=3.12"} -] -llama-index = "^0.10.55" pytest-asyncio = "^0.23.8" -pygraphviz = [ - {version = "^1.13.0", python = ">=3.10,<4.0.0"}, - {version = "^1.0.0", python = "<3.10"} -] -google-cloud-aiplatform = {version = "^1.66.0"} -cohere = {version = "^5.9.0"} -anthropic = { version = "^0.34.2"} -mistralai = {version = "^1.0.3"} -qdrant-client = {version = "^1.11.3"} -langchain-openai = "^0.2.2" # needed in the examples +pre-commit = { version = "^3.6.2", python = "^3.9" } +sphinx = { version = "^7.2.6", python = "^3.9" } +langchain-openai = {version = "^0.2.2", optional = true } +langchain-huggingface = {version = "^0.1.0", optional = true } [tool.poetry.extras] -external_clients = ["weaviate-client", "pinecone-client", "google-cloud-aiplatform", "cohere", "anthropic", "mistralai", "qdrant-client"] +weaviate = ["weaviate-client"] +pinecone = ["pinecone-client"] +google = ["google-cloud-aiplatform"] +cohere = ["cohere"] +anthropic = ["anthropic"] +openai = ["openai"] +mistralai = ["mistralai"] +qdrant = ["qdrant-client"] kg_creation_tools = ["pygraphviz"] +sentence-transformers = ["sentence-transformers"] +experimental = ["pypdf", "fsspec", "langchain-text-splitters", "pygraphviz", "llama-index"] +examples = ["langchain-openai", "langchain-huggingface"] [build-system] requires = ["poetry-core>=1.0.0"] @@ -101,9 +88,6 @@ filterwarnings = [ [tool.coverage.paths] source = ["src"] -[tool.pylint."MESSAGES CONTROL"] -disable="C0114,C0115" - [tool.mypy] strict = true ignore_missing_imports = true diff --git a/src/neo4j_graphrag/embeddings/openai.py b/src/neo4j_graphrag/embeddings/openai.py index be10619d..96ce7142 100644 --- a/src/neo4j_graphrag/embeddings/openai.py +++ b/src/neo4j_graphrag/embeddings/openai.py @@ -15,28 +15,11 @@ from __future__ import annotations -import abc from typing import Any - from neo4j_graphrag.embeddings.base import Embedder -try: - import openai -except ImportError: - openai = None # type: ignore - - -class BaseOpenAIEmbeddings(Embedder, abc.ABC): - def __init__(self, model: str = "text-embedding-ada-002", **kwargs: Any) -> None: - if openai is None: - raise ImportError( - "Could not import openai python client. " - "Please install it with `pip install openai`." - ) - self.model = model - -class OpenAIEmbeddings(BaseOpenAIEmbeddings): +class OpenAIEmbeddings(Embedder): """ OpenAI embeddings class. This class uses the OpenAI python client to generate embeddings for text data. @@ -47,8 +30,16 @@ class OpenAIEmbeddings(BaseOpenAIEmbeddings): """ def __init__(self, model: str = "text-embedding-ada-002", **kwargs: Any) -> None: - super().__init__(model, **kwargs) - self.openai_client = openai.OpenAI(**kwargs) + try: + import openai + except ImportError: + raise ImportError( + "Could not import openai python client. " + "Please install it with `pip install openai`." + ) + self.openai = openai + self.model = model + self.openai_client = self.openai.OpenAI(**kwargs) def embed_query(self, text: str, **kwargs: Any) -> list[float]: """ @@ -67,4 +58,4 @@ def embed_query(self, text: str, **kwargs: Any) -> list[float]: class AzureOpenAIEmbeddings(OpenAIEmbeddings): def __init__(self, model: str = "text-embedding-ada-002", **kwargs: Any) -> None: super().__init__(model, **kwargs) - self.openai_client = openai.AzureOpenAI(**kwargs) + self.openai_client = self.openai.AzureOpenAI(**kwargs) diff --git a/src/neo4j_graphrag/embeddings/sentence_transformers.py b/src/neo4j_graphrag/embeddings/sentence_transformers.py index 9e5c2da1..3e0f9202 100644 --- a/src/neo4j_graphrag/embeddings/sentence_transformers.py +++ b/src/neo4j_graphrag/embeddings/sentence_transformers.py @@ -15,14 +15,6 @@ from typing import Any -try: - import numpy as np - import sentence_transformers - import torch -except ImportError: - sentence_transformers = None # type: ignore - - from neo4j_graphrag.embeddings.base import Embedder @@ -30,19 +22,25 @@ class SentenceTransformerEmbeddings(Embedder): def __init__( self, model: str = "all-MiniLM-L6-v2", *args: Any, **kwargs: Any ) -> None: - if sentence_transformers is None: + try: + import numpy as np + import sentence_transformers + import torch + except ImportError: raise ImportError( "Could not import sentence_transformers python package. " "Please install it with `pip install sentence-transformers`." ) + self.torch = torch + self.np = np self.model = sentence_transformers.SentenceTransformer(model, *args, **kwargs) def embed_query(self, text: str) -> Any: result = self.model.encode([text]) - if isinstance(result, torch.Tensor) or isinstance(result, np.ndarray): + if isinstance(result, self.torch.Tensor) or isinstance(result, self.np.ndarray): return result.flatten().tolist() elif isinstance(result, list) and all( - isinstance(x, torch.Tensor) for x in result + isinstance(x, self.torch.Tensor) for x in result ): return [item for tensor in result for item in tensor.flatten().tolist()] else: diff --git a/src/neo4j_graphrag/llm/anthropic_llm.py b/src/neo4j_graphrag/llm/anthropic_llm.py index bee697e1..fd076c0f 100644 --- a/src/neo4j_graphrag/llm/anthropic_llm.py +++ b/src/neo4j_graphrag/llm/anthropic_llm.py @@ -19,13 +19,6 @@ from neo4j_graphrag.llm.base import LLMInterface from neo4j_graphrag.llm.types import LLMResponse -try: - import anthropic - from anthropic import APIError -except ImportError: - anthropic = None # type: ignore - APIError = None # type: ignore - class AnthropicLLM(LLMInterface): """Interface for large language models on Anthropic @@ -58,12 +51,15 @@ def __init__( model_params: Optional[dict[str, Any]] = None, **kwargs: Any, ): - if anthropic is None: + try: + import anthropic + except ImportError: raise ImportError( "Could not import Anthropic Python client. " "Please install it with `pip install anthropic`." ) super().__init__(model_name, model_params) + self.anthropic = anthropic self.client = anthropic.Anthropic(**kwargs) self.async_client = anthropic.AsyncAnthropic(**kwargs) @@ -88,7 +84,7 @@ def invoke(self, input: str) -> LLMResponse: **self.model_params, ) return LLMResponse(content=response.content) - except APIError as e: + except self.anthropic.APIError as e: raise LLMGenerationError(e) async def ainvoke(self, input: str) -> LLMResponse: @@ -112,5 +108,5 @@ async def ainvoke(self, input: str) -> LLMResponse: **self.model_params, ) return LLMResponse(content=response.content) - except APIError as e: + except self.anthropic.APIError as e: raise LLMGenerationError(e) diff --git a/src/neo4j_graphrag/llm/cohere_llm.py b/src/neo4j_graphrag/llm/cohere_llm.py index d5c327a6..6a6aa036 100644 --- a/src/neo4j_graphrag/llm/cohere_llm.py +++ b/src/neo4j_graphrag/llm/cohere_llm.py @@ -20,13 +20,6 @@ from neo4j_graphrag.llm.base import LLMInterface from neo4j_graphrag.llm.types import LLMResponse -try: - import cohere - from cohere.core import ApiError -except ImportError: - cohere = None # type: ignore - ApiError = Exception # type: ignore[assignment, misc] - class CohereLLM(LLMInterface): """Interface for large language models on the Cohere platform @@ -55,12 +48,18 @@ def __init__( model_params: Optional[dict[str, Any]] = None, **kwargs: Any, ) -> None: - if cohere is None: + super().__init__(model_name, model_params) + try: + import cohere + except ImportError: raise ImportError( "Could not import cohere python client. " "Please install it with `pip install cohere`." ) - super().__init__(model_name, model_params) + + self.cohere = cohere + self.cohere_api_error = cohere.core.api_error.ApiError + self.client = cohere.Client(**kwargs) self.async_client = cohere.AsyncClient(**kwargs) @@ -78,7 +77,7 @@ def invoke(self, input: str) -> LLMResponse: message=input, model=self.model_name, ) - except ApiError as e: + except self.cohere_api_error as e: raise LLMGenerationError(e) return LLMResponse( content=res.text, @@ -98,7 +97,7 @@ async def ainvoke(self, input: str) -> LLMResponse: message=input, model=self.model_name, ) - except ApiError as e: + except self.cohere_api_error as e: raise LLMGenerationError(e) return LLMResponse( content=res.text, diff --git a/src/neo4j_graphrag/llm/openai_llm.py b/src/neo4j_graphrag/llm/openai_llm.py index 50d33524..aa242712 100644 --- a/src/neo4j_graphrag/llm/openai_llm.py +++ b/src/neo4j_graphrag/llm/openai_llm.py @@ -15,21 +15,22 @@ from __future__ import annotations import abc -from typing import Any, Optional +from typing import Any, Optional, TYPE_CHECKING, Iterable from ..exceptions import LLMGenerationError from .base import LLMInterface from .types import LLMResponse -try: +if TYPE_CHECKING: import openai -except ImportError: - openai = None # type: ignore + from openai.types.chat.chat_completion_message_param import ( + ChatCompletionMessageParam, + ) class BaseOpenAILLM(LLMInterface, abc.ABC): - client: Any - async_client: Any + client: openai.OpenAI + async_client: openai.AsyncOpenAI def __init__( self, @@ -45,17 +46,20 @@ def __init__( model_name (str): model_params (str): Parameters like temperature that will be passed to the model when text is sent to it """ - if openai is None: + try: + import openai + except ImportError: raise ImportError( "Could not import openai Python client. " "Please install it with `pip install openai`." ) + self.openai = openai super().__init__(model_name, model_params) def get_messages( self, input: str, - ) -> list[dict[str, str]]: + ) -> Iterable[ChatCompletionMessageParam]: return [ {"role": "system", "content": input}, ] @@ -81,7 +85,7 @@ def invoke(self, input: str) -> LLMResponse: ) content = response.choices[0].message.content or "" return LLMResponse(content=content) - except openai.OpenAIError as e: + except self.openai.OpenAIError as e: raise LLMGenerationError(e) async def ainvoke(self, input: str) -> LLMResponse: @@ -105,7 +109,7 @@ async def ainvoke(self, input: str) -> LLMResponse: ) content = response.choices[0].message.content or "" return LLMResponse(content=content) - except openai.OpenAIError as e: + except self.openai.OpenAIError as e: raise LLMGenerationError(e) @@ -126,8 +130,8 @@ def __init__( kwargs: All other parameters will be passed to the openai.OpenAI init. """ super().__init__(model_name, model_params) - self.client = openai.OpenAI(**kwargs) - self.async_client = openai.AsyncOpenAI(**kwargs) + self.client = self.openai.OpenAI(**kwargs) + self.async_client = self.openai.AsyncOpenAI(**kwargs) class AzureOpenAILLM(BaseOpenAILLM): @@ -146,5 +150,5 @@ def __init__( kwargs: All other parameters will be passed to the openai.OpenAI init. """ super().__init__(model_name, model_params) - self.client = openai.AzureOpenAI(**kwargs) - self.async_client = openai.AsyncAzureOpenAI(**kwargs) + self.client = self.openai.AzureOpenAI(**kwargs) + self.async_client = self.openai.AsyncAzureOpenAI(**kwargs) diff --git a/tests/unit/embeddings/test_openai_embedder.py b/tests/unit/embeddings/test_openai_embedder.py index fbe259ce..ec216dcf 100644 --- a/tests/unit/embeddings/test_openai_embedder.py +++ b/tests/unit/embeddings/test_openai_embedder.py @@ -19,16 +19,26 @@ AzureOpenAIEmbeddings, OpenAIEmbeddings, ) +import openai -@patch("neo4j_graphrag.embeddings.openai.openai", None) -def test_openai_embedder_missing_dependency() -> None: +def get_mock_openai() -> MagicMock: + mock = MagicMock() + mock.OpenAIError = openai.OpenAIError + return mock + + +@patch("builtins.__import__", side_effect=ImportError) +def test_openai_embedder_missing_dependency(mock_import: Mock) -> None: with pytest.raises(ImportError): OpenAIEmbeddings() -@patch("neo4j_graphrag.embeddings.openai.openai") -def test_openai_embedder_happy_path(mock_openai: Mock) -> None: +@patch("builtins.__import__") +def test_openai_embedder_happy_path(mock_import: Mock) -> None: + mock_openai = get_mock_openai() + mock_import.return_value = mock_openai + mock_openai.OpenAI.return_value.embeddings.create.return_value = MagicMock( data=[MagicMock(embedding=[1.0, 2.0])], ) @@ -38,14 +48,17 @@ def test_openai_embedder_happy_path(mock_openai: Mock) -> None: assert res == [1.0, 2.0] -@patch("neo4j_graphrag.embeddings.openai.openai", None) -def test_azure_openai_embedder_missing_dependency() -> None: +@patch("builtins.__import__", side_effect=ImportError) +def test_azure_openai_embedder_missing_dependency(mock_import: Mock) -> None: with pytest.raises(ImportError): AzureOpenAIEmbeddings() -@patch("neo4j_graphrag.embeddings.openai.openai") -def test_azure_openai_embedder_happy_path(mock_openai: Mock) -> None: +@patch("builtins.__import__") +def test_azure_openai_embedder_happy_path(mock_import: Mock) -> None: + mock_openai = get_mock_openai() + mock_import.return_value = mock_openai + mock_openai.AzureOpenAI.return_value.embeddings.create.return_value = MagicMock( data=[MagicMock(embedding=[1.0, 2.0])], ) diff --git a/tests/unit/embeddings/test_sentence_transformers.py b/tests/unit/embeddings/test_sentence_transformers.py index fd1798aa..97a1172c 100644 --- a/tests/unit/embeddings/test_sentence_transformers.py +++ b/tests/unit/embeddings/test_sentence_transformers.py @@ -1,4 +1,4 @@ -from unittest.mock import MagicMock, patch +from unittest.mock import MagicMock, patch, Mock import numpy as np import pytest @@ -6,24 +6,40 @@ from neo4j_graphrag.embeddings.sentence_transformers import ( SentenceTransformerEmbeddings, ) +import torch -@patch("neo4j_graphrag.embeddings.sentence_transformers.sentence_transformers") -def test_initialization(MockSentenceTransformer: MagicMock) -> None: +def get_mock_sentence_transformers() -> MagicMock: + mock = MagicMock() + # I know, I know... ¯\_(ツ)_/¯ + # This is to cover the if type checks in the embed_query method + mock.Tensor = torch.Tensor + mock.ndarray = np.ndarray + return mock + + +@patch("builtins.__import__") +def test_initialization(mock_import: Mock) -> None: + MockSentenceTransformer = get_mock_sentence_transformers() + mock_import.return_value = MockSentenceTransformer instance = SentenceTransformerEmbeddings() MockSentenceTransformer.SentenceTransformer.assert_called_with("all-MiniLM-L6-v2") assert isinstance(instance, Embedder) -@patch("neo4j_graphrag.embeddings.sentence_transformers.sentence_transformers") -def test_initialization_with_custom_model(MockSentenceTransformer: MagicMock) -> None: +@patch("builtins.__import__") +def test_initialization_with_custom_model(mock_import: Mock) -> None: + MockSentenceTransformer = get_mock_sentence_transformers() + mock_import.return_value = MockSentenceTransformer custom_model = "distilbert-base-nli-stsb-mean-tokens" SentenceTransformerEmbeddings(model=custom_model) MockSentenceTransformer.SentenceTransformer.assert_called_with(custom_model) -@patch("neo4j_graphrag.embeddings.sentence_transformers.sentence_transformers") -def test_embed_query(MockSentenceTransformer: MagicMock) -> None: +@patch("builtins.__import__") +def test_embed_query(mock_import: Mock) -> None: + MockSentenceTransformer = get_mock_sentence_transformers() + mock_import.return_value = MockSentenceTransformer mock_model = MockSentenceTransformer.SentenceTransformer.return_value mock_model.encode.return_value = np.array([[0.1, 0.2, 0.3]]) @@ -35,10 +51,7 @@ def test_embed_query(MockSentenceTransformer: MagicMock) -> None: assert result == [0.1, 0.2, 0.3] -@patch( - "neo4j_graphrag.embeddings.sentence_transformers.sentence_transformers", - None, -) -def test_import_error() -> None: +@patch("builtins.__import__", side_effect=ImportError) +def test_import_error(mock_import: Mock) -> None: with pytest.raises(ImportError): SentenceTransformerEmbeddings() diff --git a/tests/unit/llm/test_anthropic_llm.py b/tests/unit/llm/test_anthropic_llm.py index b135d953..4c19b69b 100644 --- a/tests/unit/llm/test_anthropic_llm.py +++ b/tests/unit/llm/test_anthropic_llm.py @@ -13,20 +13,31 @@ # limitations under the License. from __future__ import annotations -from unittest.mock import AsyncMock, MagicMock, patch +from unittest.mock import AsyncMock, MagicMock, patch, Mock import pytest from neo4j_graphrag.llm.anthropic_llm import AnthropicLLM +import sys +import anthropic +from typing import Generator -@patch("neo4j_graphrag.llm.anthropic_llm.anthropic", None) -def test_anthropic_llm_missing_dependency() -> None: +@pytest.fixture +def mock_anthropic() -> Generator[MagicMock, None, None]: + mock = MagicMock() + mock.APIError = anthropic.APIError + + with patch.dict(sys.modules, {"anthropic": mock}): + yield mock + + +@patch("builtins.__import__", side_effect=ImportError) +def test_anthropic_llm_missing_dependency(mock_import: Mock) -> None: with pytest.raises(ImportError): AnthropicLLM(model_name="claude-3-opus-20240229") -@patch("neo4j_graphrag.llm.anthropic_llm.anthropic") -def test_anthropic_invoke_happy_path(mock_anthropic: MagicMock) -> None: +def test_anthropic_invoke_happy_path(mock_anthropic: Mock) -> None: mock_anthropic.Anthropic.return_value.messages.create.return_value = MagicMock( content="generated text" ) @@ -43,8 +54,7 @@ def test_anthropic_invoke_happy_path(mock_anthropic: MagicMock) -> None: @pytest.mark.asyncio -@patch("neo4j_graphrag.llm.anthropic_llm.anthropic") -async def test_anthropic_ainvoke_happy_path(mock_anthropic: MagicMock) -> None: +async def test_anthropic_ainvoke_happy_path(mock_anthropic: Mock) -> None: mock_response = AsyncMock() mock_response.content = "Return text" mock_model = mock_anthropic.AsyncAnthropic.return_value diff --git a/tests/unit/llm/test_cohere_llm.py b/tests/unit/llm/test_cohere_llm.py index 2e6069f8..f4062718 100644 --- a/tests/unit/llm/test_cohere_llm.py +++ b/tests/unit/llm/test_cohere_llm.py @@ -19,15 +19,25 @@ from neo4j_graphrag.exceptions import LLMGenerationError from neo4j_graphrag.llm import LLMResponse from neo4j_graphrag.llm.cohere_llm import CohereLLM +import sys +from typing import Generator -@patch("neo4j_graphrag.llm.cohere_llm.cohere", None) -def test_cohere_llm_missing_dependency() -> None: +@pytest.fixture +def mock_cohere() -> Generator[MagicMock, None, None]: + mock_cohere = MagicMock() + mock_cohere.core.api_error.ApiError = cohere.core.ApiError + + with patch.dict(sys.modules, {"cohere": mock_cohere}): + yield mock_cohere + + +@patch("builtins.__import__", side_effect=ImportError) +def test_cohere_llm_missing_dependency(mock_import: Mock) -> None: with pytest.raises(ImportError): CohereLLM(model_name="something") -@patch("neo4j_graphrag.llm.cohere_llm.cohere") def test_cohere_llm_happy_path(mock_cohere: Mock) -> None: mock_cohere.Client.return_value.chat.return_value = MagicMock( text="cohere response text" @@ -39,7 +49,6 @@ def test_cohere_llm_happy_path(mock_cohere: Mock) -> None: @pytest.mark.asyncio -@patch("neo4j_graphrag.llm.cohere_llm.cohere") async def test_cohere_llm_happy_path_async(mock_cohere: Mock) -> None: async_mock = Mock() async_mock.chat = AsyncMock(return_value=MagicMock(text="cohere response text")) @@ -50,7 +59,6 @@ async def test_cohere_llm_happy_path_async(mock_cohere: Mock) -> None: assert res.content == "cohere response text" -@patch("neo4j_graphrag.llm.cohere_llm.cohere") def test_cohere_llm_failed(mock_cohere: Mock) -> None: mock_cohere.Client.return_value.chat.side_effect = cohere.core.ApiError embedder = CohereLLM(model_name="something") @@ -60,10 +68,10 @@ def test_cohere_llm_failed(mock_cohere: Mock) -> None: @pytest.mark.asyncio -@patch("neo4j_graphrag.llm.cohere_llm.cohere") async def test_cohere_llm_failed_async(mock_cohere: Mock) -> None: mock_cohere.AsyncClient.return_value.chat.side_effect = cohere.core.ApiError embedder = CohereLLM(model_name="something") + with pytest.raises(LLMGenerationError) as excinfo: await embedder.ainvoke("my text") assert "ApiError" in str(excinfo) diff --git a/tests/unit/llm/test_openai_llm.py b/tests/unit/llm/test_openai_llm.py index 3cf0e7d0..9c6a1ef7 100644 --- a/tests/unit/llm/test_openai_llm.py +++ b/tests/unit/llm/test_openai_llm.py @@ -12,38 +12,50 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -from unittest.mock import MagicMock, Mock, patch +from unittest.mock import MagicMock, patch, Mock import pytest from neo4j_graphrag.llm import LLMResponse from neo4j_graphrag.llm.openai_llm import AzureOpenAILLM, OpenAILLM +import openai -@patch("neo4j_graphrag.llm.openai_llm.openai", None) -def test_openai_llm_missing_dependency() -> None: +def get_mock_openai() -> MagicMock: + mock = MagicMock() + mock.OpenAIError = openai.OpenAIError + return mock + + +@patch("builtins.__import__", side_effect=ImportError) +def test_openai_llm_missing_dependency(mock_import: Mock) -> None: with pytest.raises(ImportError): OpenAILLM(model_name="gpt-4o") -@patch("neo4j_graphrag.llm.openai_llm.openai") -def test_openai_llm_happy_path(mock_openai: Mock) -> None: +@patch("builtins.__import__") +def test_openai_llm_happy_path(mock_import: Mock) -> None: + mock_openai = get_mock_openai() + mock_import.return_value = mock_openai mock_openai.OpenAI.return_value.chat.completions.create.return_value = MagicMock( choices=[MagicMock(message=MagicMock(content="openai chat response"))], ) llm = OpenAILLM(api_key="my key", model_name="gpt") + res = llm.invoke("my text") assert isinstance(res, LLMResponse) assert res.content == "openai chat response" -@patch("neo4j_graphrag.llm.openai_llm.openai", None) -def test_azure_openai_llm_missing_dependency() -> None: +@patch("builtins.__import__", side_effect=ImportError) +def test_azure_openai_llm_missing_dependency(mock_import: Mock) -> None: with pytest.raises(ImportError): AzureOpenAILLM(model_name="gpt-4o") -@patch("neo4j_graphrag.llm.openai_llm.openai") -def test_azure_openai_llm_happy_path(mock_openai: Mock) -> None: +@patch("builtins.__import__") +def test_azure_openai_llm_happy_path(mock_import: Mock) -> None: + mock_openai = get_mock_openai() + mock_import.return_value = mock_openai mock_openai.AzureOpenAI.return_value.chat.completions.create.return_value = ( MagicMock( choices=[MagicMock(message=MagicMock(content="openai chat response"))], @@ -55,6 +67,7 @@ def test_azure_openai_llm_happy_path(mock_openai: Mock) -> None: api_key="my key", api_version="version", ) + res = llm.invoke("my text") assert isinstance(res, LLMResponse) assert res.content == "openai chat response" diff --git a/tox.ini b/tox.ini new file mode 100644 index 00000000..4155fc4c --- /dev/null +++ b/tox.ini @@ -0,0 +1,11 @@ +[tox] +envlist = py39, py310, py311, py312 + + +[testenv] +skip_install = true +allowlist_externals = poetry +commands_pre = + poetry install --all-extras +commands = + poetry run coverage run -m pytest tests/unit From cb968151b56c45a9bcc1e6f6a31bdf93b196b03a Mon Sep 17 00:00:00 2001 From: willtai Date: Fri, 25 Oct 2024 13:17:08 +0100 Subject: [PATCH 2/3] Fix bug where AzureOpenAIEmbeddings inherits from OpenAIEmbeddings (#203) * Fix bug where AzureOpenAIEmbeddings inherits from OpenAIEmbeddings * Cast embedding to list[float] * Refactored embed_query method to be in base class --- CHANGELOG.md | 2 + .../embeddings/azure_openai_embeddings.py | 4 +- src/neo4j_graphrag/embeddings/openai.py | 67 ++++++++++++++----- src/neo4j_graphrag/llm/openai_llm.py | 2 +- tests/unit/embeddings/test_openai_embedder.py | 23 ++++++- .../embeddings/test_sentence_transformers.py | 4 +- tests/unit/llm/test_anthropic_llm.py | 8 +-- tests/unit/llm/test_cohere_llm.py | 4 +- tests/unit/llm/test_openai_llm.py | 4 +- 9 files changed, 86 insertions(+), 32 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 42aaa9eb..4b66adb6 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -13,6 +13,8 @@ - Removed support for neo4j.AsyncDriver in the KG creation pipeline, affecting Neo4jWriter and related components. - Updated examples and unit tests to reflect the removal of async driver support. +### Fixed +- Resolved issue with `AzureOpenAIEmbeddings` incorrectly inheriting from `OpenAIEmbeddings`, now inherits from `BaseOpenAIEmbeddings`. ## 1.1.0 diff --git a/examples/customize/embeddings/azure_openai_embeddings.py b/examples/customize/embeddings/azure_openai_embeddings.py index 62fe3ac8..932a2415 100644 --- a/examples/customize/embeddings/azure_openai_embeddings.py +++ b/examples/customize/embeddings/azure_openai_embeddings.py @@ -4,11 +4,11 @@ from neo4j_graphrag.embeddings import AzureOpenAIEmbeddings -embeder = AzureOpenAIEmbeddings( +embedder = AzureOpenAIEmbeddings( model="text-embedding-ada-002", azure_endpoint="https://my-endpoint.openai.azure.com/", api_key="", api_version="", ) -res = embeder.embed_query("my question") +res = embedder.embed_query("my question") print(res[:10]) diff --git a/src/neo4j_graphrag/embeddings/openai.py b/src/neo4j_graphrag/embeddings/openai.py index 96ce7142..6204acb3 100644 --- a/src/neo4j_graphrag/embeddings/openai.py +++ b/src/neo4j_graphrag/embeddings/openai.py @@ -15,20 +15,22 @@ from __future__ import annotations -from typing import Any +import abc +from typing import TYPE_CHECKING, Any + from neo4j_graphrag.embeddings.base import Embedder +if TYPE_CHECKING: + import openai -class OpenAIEmbeddings(Embedder): - """ - OpenAI embeddings class. - This class uses the OpenAI python client to generate embeddings for text data. - Args: - model (str): The name of the OpenAI embedding model to use. Defaults to "text-embedding-ada-002". - kwargs: All other parameters will be passed to the openai.OpenAI init. +class BaseOpenAIEmbeddings(Embedder, abc.ABC): + """ + Abstract base class for OpenAI embeddings. """ + client: openai.OpenAI + def __init__(self, model: str = "text-embedding-ada-002", **kwargs: Any) -> None: try: import openai @@ -39,23 +41,52 @@ def __init__(self, model: str = "text-embedding-ada-002", **kwargs: Any) -> None ) self.openai = openai self.model = model - self.openai_client = self.openai.OpenAI(**kwargs) + self.client = self._initialize_client(**kwargs) + + @abc.abstractmethod + def _initialize_client(self, **kwargs: Any) -> Any: + """ + Initialize the OpenAI client. + Must be implemented by subclasses. + """ + pass def embed_query(self, text: str, **kwargs: Any) -> list[float]: """ - Generate embeddings for a given query using a OpenAI text embedding model. + Generate embeddings for a given query using an OpenAI text embedding model. Args: text (str): The text to generate an embedding for. **kwargs (Any): Additional arguments to pass to the OpenAI embedding generation function. """ - response = self.openai_client.embeddings.create( - input=text, model=self.model, **kwargs - ) - return response.data[0].embedding + response = self.client.embeddings.create(input=text, model=self.model, **kwargs) + embedding: list[float] = response.data[0].embedding + return embedding -class AzureOpenAIEmbeddings(OpenAIEmbeddings): - def __init__(self, model: str = "text-embedding-ada-002", **kwargs: Any) -> None: - super().__init__(model, **kwargs) - self.openai_client = self.openai.AzureOpenAI(**kwargs) +class OpenAIEmbeddings(BaseOpenAIEmbeddings): + """ + OpenAI embeddings class. + This class uses the OpenAI python client to generate embeddings for text data. + + Args: + model (str): The name of the OpenAI embedding model to use. Defaults to "text-embedding-ada-002". + kwargs: All other parameters will be passed to the openai.OpenAI init. + """ + + def _initialize_client(self, **kwargs: Any) -> Any: + return self.openai.OpenAI(**kwargs) + + +class AzureOpenAIEmbeddings(BaseOpenAIEmbeddings): + """ + Azure OpenAI embeddings class. + This class uses the Azure OpenAI python client to generate embeddings for text data. + + Args: + model (str): The name of the Azure OpenAI embedding model to use. Defaults to "text-embedding-ada-002". + kwargs: All other parameters will be passed to the openai.AzureOpenAI init. + """ + + def _initialize_client(self, **kwargs: Any) -> Any: + return self.openai.AzureOpenAI(**kwargs) diff --git a/src/neo4j_graphrag/llm/openai_llm.py b/src/neo4j_graphrag/llm/openai_llm.py index aa242712..04f3f2bf 100644 --- a/src/neo4j_graphrag/llm/openai_llm.py +++ b/src/neo4j_graphrag/llm/openai_llm.py @@ -15,7 +15,7 @@ from __future__ import annotations import abc -from typing import Any, Optional, TYPE_CHECKING, Iterable +from typing import TYPE_CHECKING, Any, Iterable, Optional from ..exceptions import LLMGenerationError from .base import LLMInterface diff --git a/tests/unit/embeddings/test_openai_embedder.py b/tests/unit/embeddings/test_openai_embedder.py index ec216dcf..a1b940f0 100644 --- a/tests/unit/embeddings/test_openai_embedder.py +++ b/tests/unit/embeddings/test_openai_embedder.py @@ -14,12 +14,12 @@ # limitations under the License. from unittest.mock import MagicMock, Mock, patch +import openai import pytest from neo4j_graphrag.embeddings.openai import ( AzureOpenAIEmbeddings, OpenAIEmbeddings, ) -import openai def get_mock_openai() -> MagicMock: @@ -71,3 +71,24 @@ def test_azure_openai_embedder_happy_path(mock_import: Mock) -> None: res = embedder.embed_query("my text") assert isinstance(res, list) assert res == [1.0, 2.0] + + +def test_azure_openai_embedder_does_not_call_openai_client() -> None: + from unittest.mock import patch + + mock_openai = get_mock_openai() + + with patch.dict("sys.modules", {"openai": mock_openai}): + AzureOpenAIEmbeddings( + model="text-embedding-ada-002", + azure_endpoint="https://test.openai.azure.com/", + api_key="my_key", + api_version="2023-05-15", + ) + + mock_openai.OpenAI.assert_not_called() + mock_openai.AzureOpenAI.assert_called_once_with( + azure_endpoint="https://test.openai.azure.com/", + api_key="my_key", + api_version="2023-05-15", + ) diff --git a/tests/unit/embeddings/test_sentence_transformers.py b/tests/unit/embeddings/test_sentence_transformers.py index 97a1172c..197095e4 100644 --- a/tests/unit/embeddings/test_sentence_transformers.py +++ b/tests/unit/embeddings/test_sentence_transformers.py @@ -1,12 +1,12 @@ -from unittest.mock import MagicMock, patch, Mock +from unittest.mock import MagicMock, Mock, patch import numpy as np import pytest +import torch from neo4j_graphrag.embeddings.base import Embedder from neo4j_graphrag.embeddings.sentence_transformers import ( SentenceTransformerEmbeddings, ) -import torch def get_mock_sentence_transformers() -> MagicMock: diff --git a/tests/unit/llm/test_anthropic_llm.py b/tests/unit/llm/test_anthropic_llm.py index 4c19b69b..c8d5f6f8 100644 --- a/tests/unit/llm/test_anthropic_llm.py +++ b/tests/unit/llm/test_anthropic_llm.py @@ -13,13 +13,13 @@ # limitations under the License. from __future__ import annotations -from unittest.mock import AsyncMock, MagicMock, patch, Mock +import sys +from typing import Generator +from unittest.mock import AsyncMock, MagicMock, Mock, patch +import anthropic import pytest from neo4j_graphrag.llm.anthropic_llm import AnthropicLLM -import sys -import anthropic -from typing import Generator @pytest.fixture diff --git a/tests/unit/llm/test_cohere_llm.py b/tests/unit/llm/test_cohere_llm.py index f4062718..db1b9db8 100644 --- a/tests/unit/llm/test_cohere_llm.py +++ b/tests/unit/llm/test_cohere_llm.py @@ -12,6 +12,8 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +import sys +from typing import Generator from unittest.mock import AsyncMock, MagicMock, Mock, patch import cohere.core @@ -19,8 +21,6 @@ from neo4j_graphrag.exceptions import LLMGenerationError from neo4j_graphrag.llm import LLMResponse from neo4j_graphrag.llm.cohere_llm import CohereLLM -import sys -from typing import Generator @pytest.fixture diff --git a/tests/unit/llm/test_openai_llm.py b/tests/unit/llm/test_openai_llm.py index 9c6a1ef7..546d4e39 100644 --- a/tests/unit/llm/test_openai_llm.py +++ b/tests/unit/llm/test_openai_llm.py @@ -12,12 +12,12 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -from unittest.mock import MagicMock, patch, Mock +from unittest.mock import MagicMock, Mock, patch +import openai import pytest from neo4j_graphrag.llm import LLMResponse from neo4j_graphrag.llm.openai_llm import AzureOpenAILLM, OpenAILLM -import openai def get_mock_openai() -> MagicMock: From 99bf50e2988ad47d33543ff0704eb7af3f329c3d Mon Sep 17 00:00:00 2001 From: Estelle Scifo Date: Fri, 25 Oct 2024 16:31:44 +0200 Subject: [PATCH 3/3] Fix/datetime warning (#202) * Fix deprecation warning (utcnow) * Mypy --- src/neo4j_graphrag/experimental/pipeline/pipeline.py | 6 ++++-- tests/unit/experimental/pipeline/test_pipeline.py | 7 +++++++ 2 files changed, 11 insertions(+), 2 deletions(-) diff --git a/src/neo4j_graphrag/experimental/pipeline/pipeline.py b/src/neo4j_graphrag/experimental/pipeline/pipeline.py index 3d004eb8..5edc2783 100644 --- a/src/neo4j_graphrag/experimental/pipeline/pipeline.py +++ b/src/neo4j_graphrag/experimental/pipeline/pipeline.py @@ -15,12 +15,12 @@ from __future__ import annotations import asyncio +import datetime import enum import logging import uuid import warnings from collections import defaultdict -from datetime import datetime from timeit import default_timer from typing import Any, AsyncGenerator, Optional @@ -61,7 +61,9 @@ class RunStatus(enum.Enum): class RunResult(BaseModel): status: RunStatus = RunStatus.DONE result: Optional[DataModel] = None - timestamp: datetime = Field(default_factory=datetime.utcnow) + timestamp: datetime.datetime = Field( + default_factory=lambda: datetime.datetime.now(datetime.timezone.utc) + ) class TaskPipelineNode(PipelineNode): diff --git a/tests/unit/experimental/pipeline/test_pipeline.py b/tests/unit/experimental/pipeline/test_pipeline.py index 8191da61..7eeae9cc 100644 --- a/tests/unit/experimental/pipeline/test_pipeline.py +++ b/tests/unit/experimental/pipeline/test_pipeline.py @@ -16,12 +16,14 @@ import asyncio import tempfile +from typing import Sized from unittest import mock from unittest.mock import AsyncMock, call, patch import pytest from neo4j_graphrag.experimental.pipeline import Component, Pipeline from neo4j_graphrag.experimental.pipeline.exceptions import PipelineDefinitionError +from neo4j_graphrag.experimental.pipeline.pipeline import RunResult from .components import ( ComponentAdd, @@ -404,3 +406,8 @@ def test_pipeline_draw_missing_pygraphviz_dep() -> None: t = tempfile.NamedTemporaryFile() with pytest.raises(ImportError): pipe.draw(t.name) + + +def test_run_result_no_warning(recwarn: Sized) -> None: + RunResult() + assert len(recwarn) == 0