From fa30dc261d7ce38692006887c97c1381b0debf5d Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Thu, 23 Jan 2025 16:24:24 +0100 Subject: [PATCH 01/20] experimental py3.13 support --- .github/workflows/python-build.yml | 1 + .../workflows/python-integration-tests.yml | 4 + .github/workflows/python-lint.yml | 1 + .github/workflows/python-test-coverage.yml | 1 + .github/workflows/python-unit-tests.yml | 25 +++--- python/Makefile | 2 +- python/pyproject.toml | 3 +- .../hf_prompt_execution_settings.py | 14 ++- .../services/hf_text_completion.py | 13 ++- .../services/hf_text_embedding.py | 18 +++- .../services/onnx_gen_ai_completion_base.py | 11 ++- .../completions/chat_completion_test_base.py | 10 +-- .../completions/test_chat_completions.py | 6 +- .../completions/test_text_completion.py | 16 +++- .../embeddings/test_embedding_service_base.py | 8 +- .../hugging_face/test_hf_text_completions.py | 11 ++- .../ai/hugging_face/test_hf_text_embedding.py | 7 ++ .../services/test_onnx_chat_completion.py | 9 ++ .../services/test_onnx_text_completion.py | 9 ++ python/uv.lock | 85 ++++++++++--------- 20 files changed, 174 insertions(+), 80 deletions(-) diff --git a/.github/workflows/python-build.yml b/.github/workflows/python-build.yml index 2f7f5de183b1..e6ea7b228ca5 100644 --- a/.github/workflows/python-build.yml +++ b/.github/workflows/python-build.yml @@ -21,6 +21,7 @@ jobs: version: "0.5.x" enable-cache: true cache-suffix: ${{ runner.os }}-${{ matrix.python-version }} + cache-dependency-glob: "**/uv.lock" - name: Check version run: | echo "Building and uploading Python package version: ${{ github.event.release.tag_name }}" diff --git a/.github/workflows/python-integration-tests.yml b/.github/workflows/python-integration-tests.yml index c4931d3b0b9b..86eaf1d9b1f6 100644 --- a/.github/workflows/python-integration-tests.yml +++ b/.github/workflows/python-integration-tests.yml @@ -120,6 +120,7 @@ jobs: version: "0.5.x" enable-cache: true cache-suffix: ${{ runner.os }}-${{ matrix.python-version }} + cache-dependency-glob: "**/uv.lock" - name: Install dependencies run: | uv sync --all-extras --dev @@ -257,6 +258,7 @@ jobs: version: "0.5.x" enable-cache: true cache-suffix: ${{ runner.os }}-${{ matrix.python-version }} + cache-dependency-glob: "**/uv.lock" - name: Install dependencies run: | uv sync --all-extras --dev @@ -321,6 +323,7 @@ jobs: version: "0.5.x" enable-cache: true cache-suffix: ${{ runner.os }}-${{ matrix.python-version }} + cache-dependency-glob: "**/uv.lock" - name: Install dependencies run: | uv sync --all-extras --dev @@ -379,6 +382,7 @@ jobs: version: "0.5.x" enable-cache: true cache-suffix: ${{ runner.os }}-${{ matrix.python-version }} + cache-dependency-glob: "**/uv.lock" - name: Install dependencies run: | uv sync --all-extras --dev diff --git a/.github/workflows/python-lint.yml b/.github/workflows/python-lint.yml index 65e04c0aba3c..fe2c6882d8ac 100644 --- a/.github/workflows/python-lint.yml +++ b/.github/workflows/python-lint.yml @@ -30,6 +30,7 @@ jobs: version: "0.5.x" enable-cache: true cache-suffix: ${{ runner.os }}-${{ matrix.python-version }} + cache-dependency-glob: "**/uv.lock" - name: Install the project run: uv sync --all-extras --dev - uses: pre-commit/action@v3.0.1 diff --git a/.github/workflows/python-test-coverage.yml b/.github/workflows/python-test-coverage.yml index fc0ae4087c7b..44e567580968 100644 --- a/.github/workflows/python-test-coverage.yml +++ b/.github/workflows/python-test-coverage.yml @@ -32,6 +32,7 @@ jobs: version: "0.5.x" enable-cache: true cache-suffix: ${{ runner.os }}-${{ env.UV_PYTHON }} + cache-dependency-glob: "**/uv.lock" - name: Install the project run: uv sync --all-extras --dev - name: Test with pytest diff --git a/.github/workflows/python-unit-tests.yml b/.github/workflows/python-unit-tests.yml index 65a61710ceff..ee929401bc71 100644 --- a/.github/workflows/python-unit-tests.yml +++ b/.github/workflows/python-unit-tests.yml @@ -20,18 +20,18 @@ jobs: python-version: ["3.10", "3.11", "3.12"] os: [ubuntu-latest, windows-latest, macos-latest] experimental: [false] - # include: - # - python-version: "3.13" - # os: "ubuntu-latest" - # experimental: true - # - python-version: "3.13t" - # os: "ubuntu-latest" - # experimental: true - # gil: 0 - # - python-version: "3.13t" - # os: "ubuntu-latest" - # experimental: true - # gil: 1 + include: + - python-version: "3.13" + os: "ubuntu-latest" + experimental: true + - python-version: "3.13t" + os: "ubuntu-latest" + experimental: true + gil: 0 + - python-version: "3.13t" + os: "ubuntu-latest" + experimental: true + gil: 1 env: UV_PYTHON: ${{ matrix.python-version }} permissions: @@ -47,6 +47,7 @@ jobs: version: "0.5.x" enable-cache: true cache-suffix: ${{ runner.os }}-${{ matrix.python-version }} + cache-dependency-glob: "**/uv.lock" - name: Install the project run: uv sync --all-extras --dev -U --prerelease=if-necessary-or-explicit - name: Test with pytest diff --git a/python/Makefile b/python/Makefile index 745bf2623921..8715c315936c 100644 --- a/python/Makefile +++ b/python/Makefile @@ -87,7 +87,7 @@ install-sk: echo "Creating and activating venv for python $(PYTHON_VERSION)" uv venv --python $(PYTHON_VERSION) echo "Installing Semantic Kernel and all dependencies" - uv sync --all-extras --dev + uv sync --all-extras --dev --prerelease=if-necessary-or-explicit ############################## # CLEAN diff --git a/python/pyproject.toml b/python/pyproject.toml index b4b0a30672a2..079e5bb32823 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -45,6 +45,7 @@ dependencies = [ "pybars4 ~= 0.9", "jinja2 ~= 3.1", "nest-asyncio ~= 1.6", + "scipy>=1.15.1", ] ### Optional dependencies @@ -87,7 +88,7 @@ ollama = [ "ollama ~= 0.4" ] onnx = [ - "onnxruntime-genai ~= 0.5" + "onnxruntime-genai ~= 0.5; python_version < '3.13'" ] anthropic = [ "anthropic ~= 0.32" diff --git a/python/semantic_kernel/connectors/ai/hugging_face/hf_prompt_execution_settings.py b/python/semantic_kernel/connectors/ai/hugging_face/hf_prompt_execution_settings.py index 89fc5525cb29..da7b2fac26e1 100644 --- a/python/semantic_kernel/connectors/ai/hugging_face/hf_prompt_execution_settings.py +++ b/python/semantic_kernel/connectors/ai/hugging_face/hf_prompt_execution_settings.py @@ -2,10 +2,16 @@ from typing import Any -from transformers import GenerationConfig - from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings +try: + from transformers import GenerationConfig + + ready = True +except ImportError: + GenerationConfig = Any + ready = False + class HuggingFacePromptExecutionSettings(PromptExecutionSettings): """Hugging Face prompt execution settings.""" @@ -19,8 +25,10 @@ class HuggingFacePromptExecutionSettings(PromptExecutionSettings): temperature: float = 1.0 top_p: float = 1.0 - def get_generation_config(self) -> GenerationConfig: + def get_generation_config(self) -> "GenerationConfig": """Get the generation config.""" + if not ready: + raise ImportError("transformers is not installed.") return GenerationConfig( **self.model_dump( include={"max_new_tokens", "pad_token_id", "eos_token_id", "temperature", "top_p"}, diff --git a/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_completion.py b/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_completion.py index e40688ebad79..a866d4bef1c3 100644 --- a/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_completion.py +++ b/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_completion.py @@ -11,8 +11,6 @@ else: from typing_extensions import override # pragma: no cover -import torch -from transformers import AutoTokenizer, TextIteratorStreamer, pipeline from semantic_kernel.connectors.ai.hugging_face.hf_prompt_execution_settings import HuggingFacePromptExecutionSettings from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings @@ -27,6 +25,15 @@ logger: logging.Logger = logging.getLogger(__name__) +try: + import torch + from transformers import AutoTokenizer, TextIteratorStreamer, pipeline + + ready = True +except ImportError: + ready = False + logger.warning("torch is not installed, HuggingFaceTextCompletion will not work.") + class HuggingFaceTextCompletion(TextCompletionClientBase): """Hugging Face text completion service.""" @@ -69,6 +76,8 @@ def __init__( Note that this model will be downloaded from the Hugging Face model hub. """ + if not ready: + raise ImportError("torch is required to use HuggingFaceTextCompletion.") generator = pipeline( task=task, model=ai_model_id, diff --git a/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_embedding.py b/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_embedding.py index 0bb20906be30..2f2d8fc0bc49 100644 --- a/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_embedding.py +++ b/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_embedding.py @@ -9,8 +9,6 @@ else: from typing_extensions import override # pragma: no cover -import sentence_transformers -import torch from numpy import ndarray from semantic_kernel.connectors.ai.embeddings.embedding_generator_base import EmbeddingGeneratorBase @@ -18,12 +16,24 @@ from semantic_kernel.utils.experimental_decorator import experimental_class if TYPE_CHECKING: - from torch import Tensor + try: + from torch import Tensor + except ImportError: + Tensor = None from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings logger: logging.Logger = logging.getLogger(__name__) +try: + import sentence_transformers + import torch + + ready = True +except ImportError: + logger.warning("torch is not installed, HuggingFaceTextCompletion will not work.") + ready = False + @experimental_class class HuggingFaceTextEmbedding(EmbeddingGeneratorBase): @@ -48,6 +58,8 @@ def __init__( Note that this model will be downloaded from the Hugging Face model hub. """ + if not ready: + raise ImportError("torch is not installed, HuggingFaceTextEmbedding will not work.") resolved_device = f"cuda:{device}" if device >= 0 and torch.cuda.is_available() else "cpu" super().__init__( ai_model_id=ai_model_id, diff --git a/python/semantic_kernel/connectors/ai/onnx/services/onnx_gen_ai_completion_base.py b/python/semantic_kernel/connectors/ai/onnx/services/onnx_gen_ai_completion_base.py index 40ce552ed88b..79bb310bbc6d 100644 --- a/python/semantic_kernel/connectors/ai/onnx/services/onnx_gen_ai_completion_base.py +++ b/python/semantic_kernel/connectors/ai/onnx/services/onnx_gen_ai_completion_base.py @@ -5,13 +5,18 @@ from collections.abc import AsyncGenerator from typing import Any -import onnxruntime_genai as OnnxRuntimeGenAi - from semantic_kernel.connectors.ai.onnx.onnx_gen_ai_prompt_execution_settings import OnnxGenAIPromptExecutionSettings from semantic_kernel.contents import ImageContent from semantic_kernel.exceptions import ServiceInitializationError, ServiceInvalidResponseError from semantic_kernel.kernel_pydantic import KernelBaseModel +try: + import onnxruntime_genai as OnnxRuntimeGenAi + + ready = True +except ImportError: + ready = False + class OnnxGenAICompletionBase(KernelBaseModel): """Base class for OnnxGenAI Completion services.""" @@ -31,6 +36,8 @@ def __init__(self, ai_model_path: str, **kwargs) -> None: Raises: ServiceInitializationError: When model cannot be loaded """ + if not ready: + raise ImportError("onnxruntime-genai is not installed.") try: json_gen_ai_config = os.path.join(ai_model_path + "/genai_config.json") with open(json_gen_ai_config) as file: diff --git a/python/tests/integration/completions/chat_completion_test_base.py b/python/tests/integration/completions/chat_completion_test_base.py index 7a4db5b8fcfe..b5bf42111283 100644 --- a/python/tests/integration/completions/chat_completion_test_base.py +++ b/python/tests/integration/completions/chat_completion_test_base.py @@ -5,6 +5,11 @@ import sys from typing import Annotated +if sys.version_info >= (3, 12): + from typing import override # pragma: no cover +else: + from typing_extensions import override # pragma: no cover + import pytest from azure.ai.inference.aio import ChatCompletionsClient from azure.identity import DefaultAzureCredential @@ -41,11 +46,6 @@ from tests.integration.completions.completion_test_base import CompletionTestBase, ServiceType from tests.utils import is_service_setup_for_testing -if sys.version_info >= (3, 12): - from typing import override # pragma: no cover -else: - from typing_extensions import override # pragma: no cover - # Make sure all services are setup for before running the tests # The following exceptions apply: # 1. OpenAI and Azure OpenAI services are always setup for testing. diff --git a/python/tests/integration/completions/test_chat_completions.py b/python/tests/integration/completions/test_chat_completions.py index 67eab08b0a90..937584957bff 100644 --- a/python/tests/integration/completions/test_chat_completions.py +++ b/python/tests/integration/completions/test_chat_completions.py @@ -12,10 +12,8 @@ from typing_extensions import override # pragma: no cover from semantic_kernel import Kernel -from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings -from semantic_kernel.contents import ChatMessageContent, TextContent -from semantic_kernel.contents.chat_history import ChatHistory -from semantic_kernel.contents.utils.author_role import AuthorRole +from semantic_kernel.connectors.ai import PromptExecutionSettings +from semantic_kernel.contents import AuthorRole, ChatHistory, ChatMessageContent, TextContent from semantic_kernel.kernel_pydantic import KernelBaseModel from tests.integration.completions.chat_completion_test_base import ( ChatCompletionTestBase, diff --git a/python/tests/integration/completions/test_text_completion.py b/python/tests/integration/completions/test_text_completion.py index 7e6792de4465..ca0844cee59f 100644 --- a/python/tests/integration/completions/test_text_completion.py +++ b/python/tests/integration/completions/test_text_completion.py @@ -2,6 +2,7 @@ import sys from functools import partial +from importlib import util from typing import Any if sys.version_info >= (3, 12): @@ -32,6 +33,9 @@ from tests.integration.completions.completion_test_base import CompletionTestBase, ServiceType from tests.utils import is_service_setup_for_testing, is_test_running_on_supported_platforms, retry +hugging_face_setup = util.find_spec("torch") is not None + + azure_openai_setup = True ollama_setup: bool = is_service_setup_for_testing(["OLLAMA_TEXT_MODEL_ID"]) and is_test_running_on_supported_platforms([ "Linux" @@ -219,7 +223,9 @@ def services(self) -> dict[str, tuple[ServiceType | None, type[PromptExecutionSe service_id="patrickvonplaten/t5-tiny-random", ai_model_id="patrickvonplaten/t5-tiny-random", task="text2text-generation", - ), + ) + if hugging_face_setup + else None, HuggingFacePromptExecutionSettings, ), "hf_summ": ( @@ -227,7 +233,9 @@ def services(self) -> dict[str, tuple[ServiceType | None, type[PromptExecutionSe service_id="jotamunz/billsum_tiny_summarization", ai_model_id="jotamunz/billsum_tiny_summarization", task="summarization", - ), + ) + if hugging_face_setup + else None, HuggingFacePromptExecutionSettings, ), "hf_gen": ( @@ -235,7 +243,9 @@ def services(self) -> dict[str, tuple[ServiceType | None, type[PromptExecutionSe service_id="HuggingFaceM4/tiny-random-LlamaForCausalLM", ai_model_id="HuggingFaceM4/tiny-random-LlamaForCausalLM", task="text-generation", - ), + ) + if hugging_face_setup + else None, HuggingFacePromptExecutionSettings, ), "onnx_gen_ai": ( diff --git a/python/tests/integration/embeddings/test_embedding_service_base.py b/python/tests/integration/embeddings/test_embedding_service_base.py index 1ecca21657e3..160370d10195 100644 --- a/python/tests/integration/embeddings/test_embedding_service_base.py +++ b/python/tests/integration/embeddings/test_embedding_service_base.py @@ -1,5 +1,7 @@ # Copyright (c) Microsoft. All rights reserved. +from importlib import util + import pytest from azure.ai.inference.aio import EmbeddingsClient from azure.identity import DefaultAzureCredential @@ -32,6 +34,8 @@ from semantic_kernel.utils.authentication.entra_id_authentication import get_entra_auth_token from tests.utils import is_service_setup_for_testing +hugging_face_setup = util.find_spec("torch") is not None + # Make sure all services are setup for before running the tests # The following exceptions apply: # 1. OpenAI and Azure OpenAI services are always setup for testing. @@ -91,7 +95,9 @@ def services(self) -> dict[str, tuple[EmbeddingGeneratorBase | None, type[Prompt PromptExecutionSettings, ), "hugging_face": ( - HuggingFaceTextEmbedding(ai_model_id="sentence-transformers/all-MiniLM-L6-v2"), + HuggingFaceTextEmbedding(ai_model_id="sentence-transformers/all-MiniLM-L6-v2") + if hugging_face_setup + else None, PromptExecutionSettings, ), "ollama": (OllamaTextEmbedding() if ollama_setup else None, OllamaEmbeddingPromptExecutionSettings), diff --git a/python/tests/unit/connectors/ai/hugging_face/test_hf_text_completions.py b/python/tests/unit/connectors/ai/hugging_face/test_hf_text_completions.py index ddf8d48caa43..5f3a65a3c866 100644 --- a/python/tests/unit/connectors/ai/hugging_face/test_hf_text_completions.py +++ b/python/tests/unit/connectors/ai/hugging_face/test_hf_text_completions.py @@ -4,7 +4,6 @@ from unittest.mock import MagicMock, Mock, patch import pytest -from transformers import TextIteratorStreamer from semantic_kernel.connectors.ai.hugging_face.services.hf_text_completion import HuggingFaceTextCompletion from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings @@ -13,6 +12,16 @@ from semantic_kernel.kernel import Kernel from semantic_kernel.prompt_template.prompt_template_config import PromptTemplateConfig +try: + import torch # noqa: F401 + from transformers import TextIteratorStreamer # noqa: F401 + + ready = True +except ImportError: + ready = False + +pytestmark = pytest.mark.skipif(not ready, reason="Pytorch is not installed.") + @pytest.mark.parametrize( ("model_name", "task", "input_str"), diff --git a/python/tests/unit/connectors/ai/hugging_face/test_hf_text_embedding.py b/python/tests/unit/connectors/ai/hugging_face/test_hf_text_embedding.py index d1f71338c99c..ae792fefd613 100644 --- a/python/tests/unit/connectors/ai/hugging_face/test_hf_text_embedding.py +++ b/python/tests/unit/connectors/ai/hugging_face/test_hf_text_embedding.py @@ -10,6 +10,13 @@ ) from semantic_kernel.exceptions import ServiceResponseException +try: + import torch +except ImportError: + torch = None + +pytestmark = pytest.mark.skipif(not torch, reason="Pytorch is not installed.") + def test_huggingface_text_embedding_initialization(): model_name = "sentence-transformers/all-MiniLM-L6-v2" diff --git a/python/tests/unit/connectors/ai/onnx/services/test_onnx_chat_completion.py b/python/tests/unit/connectors/ai/onnx/services/test_onnx_chat_completion.py index 30c9573fef6c..991ec195fd1e 100644 --- a/python/tests/unit/connectors/ai/onnx/services/test_onnx_chat_completion.py +++ b/python/tests/unit/connectors/ai/onnx/services/test_onnx_chat_completion.py @@ -11,6 +11,15 @@ from semantic_kernel.kernel import Kernel from tests.unit.connectors.ai.onnx.conftest import gen_ai_config, gen_ai_config_vision +try: + import onnxruntime_genai # noqa: F401 + + ready = True +except ImportError: + ready = False + +pytestmark = pytest.mark.skipif(not ready, reason="ONNX Runtime is not installed.") + @patch("builtins.open", new_callable=mock_open, read_data=json.dumps(gen_ai_config)) @patch("onnxruntime_genai.Model") diff --git a/python/tests/unit/connectors/ai/onnx/services/test_onnx_text_completion.py b/python/tests/unit/connectors/ai/onnx/services/test_onnx_text_completion.py index 09435f02667f..506ccaa175f4 100644 --- a/python/tests/unit/connectors/ai/onnx/services/test_onnx_text_completion.py +++ b/python/tests/unit/connectors/ai/onnx/services/test_onnx_text_completion.py @@ -12,6 +12,15 @@ from semantic_kernel.exceptions import ServiceInitializationError from tests.unit.connectors.ai.onnx.conftest import gen_ai_config +try: + import onnxruntime_genai # noqa: F401 + + ready = True +except ImportError: + ready = False + +pytestmark = pytest.mark.skipif(not ready, reason="ONNX Runtime is not installed.") + @patch("builtins.open", new_callable=mock_open, read_data=json.dumps(gen_ai_config)) @patch("onnxruntime_genai.Model") diff --git a/python/uv.lock b/python/uv.lock index 0486870c0920..79c470bc0b60 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -25,13 +25,13 @@ name = "accelerate" version = "1.3.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "huggingface-hub", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "numpy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "packaging", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "psutil", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "pyyaml", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "safetensors", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "torch", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "huggingface-hub", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "numpy", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "packaging", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "psutil", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "pyyaml", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "safetensors", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "torch", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, ] sdist = { url = "https://files.pythonhosted.org/packages/85/15/0fab0260ab4069e5224e637d2e400538bb27b0dfc36f17daf68db9770d78/accelerate-1.3.0.tar.gz", hash = "sha256:518631c0adb80bd3d42fb29e7e2dc2256bcd7c786b0ba9119bbaa08611b36d9c", size = 342758 } wheels = [ @@ -2730,7 +2730,7 @@ name = "nvidia-cudnn-cu12" version = "9.1.0.70" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "nvidia-cublas-cu12", marker = "sys_platform == 'linux'" }, + { name = "nvidia-cublas-cu12", marker = "python_full_version < '3.13' and sys_platform == 'linux'" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/9f/fd/713452cd72343f682b1c7b9321e23829f00b842ceaedcda96e742ea0b0b3/nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f", size = 664752741 }, @@ -2741,7 +2741,7 @@ name = "nvidia-cufft-cu12" version = "11.2.1.3" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'linux'" }, + { name = "nvidia-nvjitlink-cu12", marker = "python_full_version < '3.13' and sys_platform == 'linux'" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/27/94/3266821f65b92b3138631e9c8e7fe1fb513804ac934485a8d05776e1dd43/nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f083fc24912aa410be21fa16d157fed2055dab1cc4b6934a0e03cba69eb242b9", size = 211459117 }, @@ -2760,9 +2760,9 @@ name = "nvidia-cusolver-cu12" version = "11.6.1.9" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "nvidia-cublas-cu12", marker = "sys_platform == 'linux'" }, - { name = "nvidia-cusparse-cu12", marker = "sys_platform == 'linux'" }, - { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'linux'" }, + { name = "nvidia-cublas-cu12", marker = "python_full_version < '3.13' and sys_platform == 'linux'" }, + { name = "nvidia-cusparse-cu12", marker = "python_full_version < '3.13' and sys_platform == 'linux'" }, + { name = "nvidia-nvjitlink-cu12", marker = "python_full_version < '3.13' and sys_platform == 'linux'" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/3a/e1/5b9089a4b2a4790dfdea8b3a006052cfecff58139d5a4e34cb1a51df8d6f/nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl", hash = "sha256:19e33fa442bcfd085b3086c4ebf7e8debc07cfe01e11513cc6d332fd918ac260", size = 127936057 }, @@ -2773,7 +2773,7 @@ name = "nvidia-cusparse-cu12" version = "12.3.1.170" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'linux'" }, + { name = "nvidia-nvjitlink-cu12", marker = "python_full_version < '3.13' and sys_platform == 'linux'" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/db/f7/97a9ea26ed4bbbfc2d470994b8b4f338ef663be97b8f677519ac195e113d/nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ea4f11a2904e2a8dc4b1833cc1b5181cde564edd0d5cd33e3c168eff2d1863f1", size = 207454763 }, @@ -2874,8 +2874,8 @@ name = "onnxruntime-genai" version = "0.5.2" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "onnxruntime", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "numpy", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "onnxruntime", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/52/35/22a421f852eb14f47c33a4dd4c3ef58a2f3d5a96be8bb6d6cc271b2a0e83/onnxruntime_genai-0.5.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:cd322ead0027fbfa309e7be76c4512157ad369dc189ab3334a58a199b4f58a02", size = 769921 }, @@ -4627,10 +4627,10 @@ name = "scikit-learn" version = "1.6.1" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "joblib", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "numpy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "scipy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "threadpoolctl", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "joblib", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "numpy", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "scipy", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "threadpoolctl", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, ] sdist = { url = "https://files.pythonhosted.org/packages/9e/a5/4ae3b3a0755f7b35a280ac90b28817d1f380318973cff14075ab41ef50d9/scikit_learn-1.6.1.tar.gz", hash = "sha256:b4fc2525eca2c69a59260f583c56a7557c6ccdf8deafdba6e060f94c1c59738e", size = 7068312 } wheels = [ @@ -4729,6 +4729,7 @@ dependencies = [ { name = "pybars4", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "pydantic-settings", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "scipy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] [package.optional-dependencies] @@ -4759,9 +4760,9 @@ google = [ { name = "google-generativeai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] hugging-face = [ - { name = "sentence-transformers", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "torch", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "transformers", extra = ["torch"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "sentence-transformers", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "torch", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "transformers", extra = ["torch"], marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, ] milvus = [ { name = "milvus", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" }, @@ -4781,7 +4782,7 @@ ollama = [ { name = "ollama", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] onnx = [ - { name = "onnxruntime-genai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "onnxruntime-genai", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, ] pandas = [ { name = "pandas", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -4900,13 +4901,13 @@ name = "sentence-transformers" version = "3.4.1" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "huggingface-hub", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "pillow", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "scikit-learn", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "scipy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "torch", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "tqdm", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "transformers", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "huggingface-hub", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "pillow", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "scikit-learn", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "scipy", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "torch", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "tqdm", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "transformers", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, ] sdist = { url = "https://files.pythonhosted.org/packages/16/74/aca6f8a2b8d62b4daf8c9a0c49d2aa573381caf47dc35cbb343389229376/sentence_transformers-3.4.1.tar.gz", hash = "sha256:68daa57504ff548340e54ff117bd86c1d2f784b21e0fb2689cf3272b8937b24b", size = 223898 } wheels = [ @@ -5315,16 +5316,16 @@ name = "transformers" version = "4.48.2" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "filelock", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "huggingface-hub", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "numpy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "packaging", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "pyyaml", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "regex", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "requests", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "safetensors", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "tokenizers", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "tqdm", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "filelock", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "huggingface-hub", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "numpy", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "packaging", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "pyyaml", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "regex", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "requests", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "safetensors", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "tokenizers", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "tqdm", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, ] sdist = { url = "https://files.pythonhosted.org/packages/c5/cf/1093586e09c8d889d2f6b8ffe6a1369e1e179eb7b8e732fc0f348a8fe58f/transformers-4.48.2.tar.gz", hash = "sha256:dcfb73473e61f22fb3366fe2471ed2e42779ecdd49527a1bdf1937574855d516", size = 8370945 } wheels = [ @@ -5333,8 +5334,8 @@ wheels = [ [package.optional-dependencies] torch = [ - { name = "accelerate", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "torch", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "accelerate", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "torch", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, ] [[package]] From ee43e2e27bd52c9f7bdbeab5183ebfcf2333e195 Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Thu, 23 Jan 2025 16:58:55 +0100 Subject: [PATCH 02/20] small test fix --- .../azure_chat_prompt_execution_settings.py | 2 +- .../ai/open_ai/test_openai_request_settings.py | 14 ++++++++++++++ 2 files changed, 15 insertions(+), 1 deletion(-) diff --git a/python/semantic_kernel/connectors/ai/open_ai/prompt_execution_settings/azure_chat_prompt_execution_settings.py b/python/semantic_kernel/connectors/ai/open_ai/prompt_execution_settings/azure_chat_prompt_execution_settings.py index 543b4e2c64a5..3d5199d8bf98 100644 --- a/python/semantic_kernel/connectors/ai/open_ai/prompt_execution_settings/azure_chat_prompt_execution_settings.py +++ b/python/semantic_kernel/connectors/ai/open_ai/prompt_execution_settings/azure_chat_prompt_execution_settings.py @@ -39,7 +39,7 @@ class ApiKeyAuthentication(AzureChatRequestBase): """API key authentication.""" type: Annotated[Literal["APIKey", "api_key"], AfterValidator(to_snake)] = "api_key" - key: str | None = None + key: str class SystemAssignedManagedIdentityAuthentication(AzureChatRequestBase): diff --git a/python/tests/unit/connectors/ai/open_ai/test_openai_request_settings.py b/python/tests/unit/connectors/ai/open_ai/test_openai_request_settings.py index 25cb379bff12..8d4e9e4cea4b 100644 --- a/python/tests/unit/connectors/ai/open_ai/test_openai_request_settings.py +++ b/python/tests/unit/connectors/ai/open_ai/test_openai_request_settings.py @@ -311,6 +311,20 @@ def test_azure_open_ai_chat_prompt_execution_settings_with_aisearch_data_sources pytest.param({"type": "access_token"}, marks=pytest.mark.xfail), pytest.param({"type": "invalid"}, marks=pytest.mark.xfail), ], + ids=[ + "APIKey", + "api_key", + "api_key_no_key", + "SystemAssignedManagedIdentity", + "system_assigned_managed_identity", + "UserAssignedManagedIdentity", + "user_assigned_managed_identity", + "user_assigned_managed_identity_no_id", + "AccessToken", + "access_token", + "access_token_no_token", + "invalid", + ], ) def test_aisearch_data_source_parameters(authentication) -> None: AzureAISearchDataSourceParameters(index_name="test_index", authentication=authentication) From f62af69834cc10ac1fc5a4e612b01a4486666fa7 Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Fri, 24 Jan 2025 10:14:52 +0100 Subject: [PATCH 03/20] fix passes of xfail tests --- python/tests/unit/test_serialization.py | 15 +++++++++------ 1 file changed, 9 insertions(+), 6 deletions(-) diff --git a/python/tests/unit/test_serialization.py b/python/tests/unit/test_serialization.py index 4f206899ea4d..c2bc66eb0c40 100644 --- a/python/tests/unit/test_serialization.py +++ b/python/tests/unit/test_serialization.py @@ -113,14 +113,14 @@ def constructor(cls: t.Type[_Serializable]) -> _Serializable: PROTOCOLS = [ - pytest.param(ConversationSummaryPlugin, marks=pytest.mark.xfail(reason="Contains data")), + ConversationSummaryPlugin, HttpPlugin, MathPlugin, TextMemoryPlugin, TextPlugin, TimePlugin, WaitPlugin, - pytest.param(WebSearchEnginePlugin, marks=pytest.mark.xfail(reason="Contains data")), + WebSearchEnginePlugin, ] BASE_CLASSES = [ @@ -146,17 +146,20 @@ def constructor(cls: t.Type[_Serializable]) -> _Serializable: KernelParameterMetadata, KernelFunctionMetadata, ChatHistory, +] +KERNEL_FUNCTION_OPTIONAL = [KernelFunction] +KERNEL_FUNCTION_REQUIRED = [ pytest.param( KernelFunction, marks=pytest.mark.xfail(reason="Need to implement Pickle serialization."), - ), + ) ] class TestUsageInPydanticFields: @pytest.mark.parametrize( "kernel_type", - BASE_CLASSES + PROTOCOLS + ENUMS + PYDANTIC_MODELS + STATELESS_CLASSES, + BASE_CLASSES + PROTOCOLS + ENUMS + PYDANTIC_MODELS + STATELESS_CLASSES + KERNEL_FUNCTION_OPTIONAL, ) def test_usage_as_optional_field( self, @@ -170,11 +173,11 @@ def test_usage_as_optional_field( class TestModel(KernelBaseModel): """A test model.""" - field: t.Optional[kernel_type] = None + field: kernel_type | None = None assert_serializable(TestModel(), TestModel) - @pytest.mark.parametrize("kernel_type", PYDANTIC_MODELS + STATELESS_CLASSES) + @pytest.mark.parametrize("kernel_type", PYDANTIC_MODELS + STATELESS_CLASSES + KERNEL_FUNCTION_REQUIRED) def test_usage_as_required_field( self, kernel_factory: t.Callable[[t.Type[KernelBaseModelFieldT]], KernelBaseModelFieldT], From 323ba82008b46076ba4e2ef31c0ee80cffa4f5ee Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Fri, 24 Jan 2025 10:35:15 +0100 Subject: [PATCH 04/20] test with t marker --- python/pyproject.toml | 2 +- python/uv.lock | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/python/pyproject.toml b/python/pyproject.toml index 079e5bb32823..fcbf9661cea8 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -108,7 +108,7 @@ redis = [ "redisvl >= 0.3.6", ] usearch = [ - "usearch ~= 2.9", + "usearch ~= 2.16; python_version != '3.13t'", "pyarrow >= 12.0,< 20.0" ] weaviate = [ diff --git a/python/uv.lock b/python/uv.lock index 79c470bc0b60..e9e0d2fc0d0e 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -4876,7 +4876,7 @@ requires-dist = [ { name = "torch", marker = "extra == 'hugging-face'", specifier = "==2.6.0" }, { name = "transformers", extras = ["torch"], marker = "extra == 'hugging-face'", specifier = "~=4.28" }, { name = "types-redis", marker = "extra == 'redis'", specifier = "~=4.6.0.20240425" }, - { name = "usearch", marker = "extra == 'usearch'", specifier = "~=2.9" }, + { name = "usearch", marker = "extra == 'usearch'", specifier = "~=2.16" }, { name = "weaviate-client", marker = "extra == 'weaviate'", specifier = ">=4.7,<5.0" }, ] From e3bf436d8c6f7224d0a4c8bcc286ca5cf6ea06f3 Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Fri, 24 Jan 2025 10:57:01 +0100 Subject: [PATCH 05/20] exclude usearch from 3.13 as a whole for now --- python/Makefile | 4 ++-- python/pyproject.toml | 2 +- python/uv.lock | 10 +++++----- 3 files changed, 8 insertions(+), 8 deletions(-) diff --git a/python/Makefile b/python/Makefile index 8715c315936c..54abd2096cd9 100644 --- a/python/Makefile +++ b/python/Makefile @@ -68,8 +68,8 @@ endif ############################## .ONESHELL: install-python: - echo "Installing python 3.10, 3.11, 3.12" - uv python install 3.10 3.11 3.12 + echo "Installing python versions" + uv python install 3.10 3.11 3.12 3.13 3.13t ############################## # INSTALL-PRE-COMMIT diff --git a/python/pyproject.toml b/python/pyproject.toml index fcbf9661cea8..780e369c37cc 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -108,7 +108,7 @@ redis = [ "redisvl >= 0.3.6", ] usearch = [ - "usearch ~= 2.16; python_version != '3.13t'", + "usearch ~= 2.16; python_full_version < '3.13'", "pyarrow >= 12.0,< 20.0" ] weaviate = [ diff --git a/python/uv.lock b/python/uv.lock index e9e0d2fc0d0e..7085a6244acd 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -4803,7 +4803,7 @@ redis = [ ] usearch = [ { name = "pyarrow", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "usearch", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "usearch", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, ] weaviate = [ { name = "weaviate-client", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -4876,7 +4876,7 @@ requires-dist = [ { name = "torch", marker = "extra == 'hugging-face'", specifier = "==2.6.0" }, { name = "transformers", extras = ["torch"], marker = "extra == 'hugging-face'", specifier = "~=4.28" }, { name = "types-redis", marker = "extra == 'redis'", specifier = "~=4.6.0.20240425" }, - { name = "usearch", marker = "extra == 'usearch'", specifier = "~=2.16" }, + { name = "usearch", marker = "python_full_version < '3.13' and extra == 'usearch'", specifier = "~=2.16" }, { name = "weaviate-client", marker = "extra == 'weaviate'", specifier = ">=4.7,<5.0" }, ] @@ -5528,9 +5528,9 @@ name = "usearch" version = "2.16.9" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "simsimd", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "tqdm", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "numpy", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "simsimd", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "tqdm", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/b6/60/de451e5900682beb59d935a4b2b688078cc0a77b1ffa703c65b857984e2f/usearch-2.16.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b0faa487d1ec864e8603bf8dbbe4b9cf77f5751db595a4164867d421e46e5dbb", size = 726579 }, From 6a8c696b2cd5937a547402b8032421267d32ead2 Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Fri, 24 Jan 2025 10:59:00 +0100 Subject: [PATCH 06/20] exclude 3.13t tests --- .github/workflows/python-unit-tests.yml | 16 ++++++++-------- python/pyproject.toml | 2 +- python/uv.lock | 10 +++++----- 3 files changed, 14 insertions(+), 14 deletions(-) diff --git a/.github/workflows/python-unit-tests.yml b/.github/workflows/python-unit-tests.yml index ee929401bc71..1e764051a3b5 100644 --- a/.github/workflows/python-unit-tests.yml +++ b/.github/workflows/python-unit-tests.yml @@ -24,14 +24,14 @@ jobs: - python-version: "3.13" os: "ubuntu-latest" experimental: true - - python-version: "3.13t" - os: "ubuntu-latest" - experimental: true - gil: 0 - - python-version: "3.13t" - os: "ubuntu-latest" - experimental: true - gil: 1 + # - python-version: "3.13t" + # os: "ubuntu-latest" + # experimental: true + # gil: 0 + # - python-version: "3.13t" + # os: "ubuntu-latest" + # experimental: true + # gil: 1 env: UV_PYTHON: ${{ matrix.python-version }} permissions: diff --git a/python/pyproject.toml b/python/pyproject.toml index 780e369c37cc..7dfeb669849c 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -108,7 +108,7 @@ redis = [ "redisvl >= 0.3.6", ] usearch = [ - "usearch ~= 2.16; python_full_version < '3.13'", + "usearch ~= 2.16", "pyarrow >= 12.0,< 20.0" ] weaviate = [ diff --git a/python/uv.lock b/python/uv.lock index 7085a6244acd..e9e0d2fc0d0e 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -4803,7 +4803,7 @@ redis = [ ] usearch = [ { name = "pyarrow", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "usearch", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "usearch", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] weaviate = [ { name = "weaviate-client", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -4876,7 +4876,7 @@ requires-dist = [ { name = "torch", marker = "extra == 'hugging-face'", specifier = "==2.6.0" }, { name = "transformers", extras = ["torch"], marker = "extra == 'hugging-face'", specifier = "~=4.28" }, { name = "types-redis", marker = "extra == 'redis'", specifier = "~=4.6.0.20240425" }, - { name = "usearch", marker = "python_full_version < '3.13' and extra == 'usearch'", specifier = "~=2.16" }, + { name = "usearch", marker = "extra == 'usearch'", specifier = "~=2.16" }, { name = "weaviate-client", marker = "extra == 'weaviate'", specifier = ">=4.7,<5.0" }, ] @@ -5528,9 +5528,9 @@ name = "usearch" version = "2.16.9" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, - { name = "simsimd", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, - { name = "tqdm", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "numpy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "simsimd", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "tqdm", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/b6/60/de451e5900682beb59d935a4b2b688078cc0a77b1ffa703c65b857984e2f/usearch-2.16.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b0faa487d1ec864e8603bf8dbbe4b9cf77f5751db595a4164867d421e46e5dbb", size = 726579 }, From e04d3ef65fb8ee599d16ba5533912f7c78822529 Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Fri, 24 Jan 2025 13:47:11 +0100 Subject: [PATCH 07/20] initial pyright work --- python/pyproject.toml | 1 + python/pyrightconfig.json | 25 +++++++++++++++++++ .../prompt_template/prompt_template_config.py | 24 ++++++++++-------- .../protocols/code_renderer.py | 2 ++ .../protocols/text_renderer.py | 2 ++ .../telemetry/model_diagnostics/decorators.py | 5 ++-- python/uv.lock | 15 +++++++++++ 7 files changed, 61 insertions(+), 13 deletions(-) create mode 100644 python/pyrightconfig.json diff --git a/python/pyproject.toml b/python/pyproject.toml index 7dfeb669849c..75f489524fbe 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -141,6 +141,7 @@ dev-dependencies = [ "mypy >= 1.10", "types-PyYAML ~= 6.0.12.20240311", "ruff ~= 0.7", + "pyright>=1.1.392.post0", ] environments = [ "sys_platform == 'darwin'", diff --git a/python/pyrightconfig.json b/python/pyrightconfig.json new file mode 100644 index 000000000000..969e7612ef1c --- /dev/null +++ b/python/pyrightconfig.json @@ -0,0 +1,25 @@ +{ + "reportMissingImports": false, + "include": [ + "semantic_kernel/**/*.py" + ], + "pythonVersion": "3.10", + "exclude": [ + "semantic_kernel/memory/*", + "semantic_kernel/planners/*", + "semantic_kernel/connectors/memory/astradb/*", + "semantic_kernel/connectors/memory/azure_ai_search/*", + "semantic_kernel/connectors/memory/azure_cognitive_search/*", + "semantic_kernel/connectors/memory/azure_cosmosdb/*", + "semantic_kernel/connectors/memory/azure_cosmosdb_no_sql/*", + "semantic_kernel/connectors/memory/chroma/*", + "semantic_kernel/connectors/memory/milvus/*", + "semantic_kernel/connectors/memory/mongodb_atlas/*", + "semantic_kernel/connectors/memory/pinecone/*", + "semantic_kernel/connectors/memory/postgres/*", + "semantic_kernel/connectors/memory/qdrant/*", + "semantic_kernel/connectors/memory/redis/*", + "semantic_kernel/connectors/memory/usearch/*", + "semantic_kernel/connectors/memory/weaviate/*" + ] +} \ No newline at end of file diff --git a/python/semantic_kernel/prompt_template/prompt_template_config.py b/python/semantic_kernel/prompt_template/prompt_template_config.py index 4a0823b7a07a..4313e92327a3 100644 --- a/python/semantic_kernel/prompt_template/prompt_template_config.py +++ b/python/semantic_kernel/prompt_template/prompt_template_config.py @@ -1,6 +1,6 @@ # Copyright (c) Microsoft. All rights reserved. import logging -from collections.abc import Mapping, Sequence +from collections.abc import MutableMapping, Sequence from typing import TypeVar from pydantic import Field, field_validator, model_validator @@ -16,6 +16,8 @@ logger: logging.Logger = logging.getLogger(__name__) +_T = TypeVar("_T", bound="PromptTemplateConfig") + class PromptTemplateConfig(KernelBaseModel): """Configuration for a prompt template. @@ -37,9 +39,9 @@ class PromptTemplateConfig(KernelBaseModel): description: str | None = "" template: str | None = None template_format: TEMPLATE_FORMAT_TYPES = KERNEL_TEMPLATE_FORMAT_NAME - input_variables: list[InputVariable] = Field(default_factory=list) + input_variables: Sequence[InputVariable] = Field(default_factory=list) allow_dangerously_set_content: bool = False - execution_settings: dict[str, PromptExecutionSettings] = Field(default_factory=dict) + execution_settings: MutableMapping[str, PromptExecutionSettings] = Field(default_factory=dict) @model_validator(mode="after") def check_input_variables(self): @@ -52,12 +54,12 @@ def check_input_variables(self): @field_validator("execution_settings", mode="before") @classmethod def rewrite_execution_settings( - cls, + cls: type[_T], settings: PromptExecutionSettings | Sequence[PromptExecutionSettings] - | Mapping[str, PromptExecutionSettings] + | MutableMapping[str, PromptExecutionSettings] | None, - ) -> Mapping[str, PromptExecutionSettings]: + ) -> MutableMapping[str, PromptExecutionSettings]: """Rewrite execution settings to a dictionary.""" if not settings: return {} @@ -81,14 +83,14 @@ def get_kernel_parameter_metadata(self) -> Sequence[KernelParameterMetadata]: name=variable.name, description=variable.description, default_value=variable.default, - type_=variable.json_schema, # TODO (moonbox3): update to handle complex JSON schemas + type=variable.json_schema, # TODO (moonbox3): update to handle complex JSON schemas is_required=variable.is_required, ) for variable in self.input_variables ] @classmethod - def from_json(cls, json_str: str) -> "PromptTemplateConfig": + def from_json(cls: type[_T], json_str: str) -> _T: """Create a PromptTemplateConfig instance from a JSON string.""" if not json_str: raise ValueError("json_str is empty") @@ -102,15 +104,15 @@ def from_json(cls, json_str: str) -> "PromptTemplateConfig": @classmethod def restore( - cls, + cls: type[_T], name: str, description: str, template: str, template_format: TEMPLATE_FORMAT_TYPES = KERNEL_TEMPLATE_FORMAT_NAME, input_variables: Sequence[InputVariable] = [], - execution_settings: Mapping[str, PromptExecutionSettings] = {}, + execution_settings: MutableMapping[str, PromptExecutionSettings] = {}, allow_dangerously_set_content: bool = False, - ) -> "PromptTemplateConfig": + ) -> _T: """Restore a PromptTemplateConfig instance from the specified parameters. Args: diff --git a/python/semantic_kernel/template_engine/protocols/code_renderer.py b/python/semantic_kernel/template_engine/protocols/code_renderer.py index f88d7d74571e..4f196e69f48d 100644 --- a/python/semantic_kernel/template_engine/protocols/code_renderer.py +++ b/python/semantic_kernel/template_engine/protocols/code_renderer.py @@ -1,5 +1,6 @@ # Copyright (c) Microsoft. All rights reserved. +from abc import abstractmethod from typing import TYPE_CHECKING, Protocol, runtime_checkable if TYPE_CHECKING: @@ -11,6 +12,7 @@ class CodeRenderer(Protocol): """Protocol for dynamic code blocks that need async IO to be rendered.""" + @abstractmethod async def render_code(self, kernel: "Kernel", arguments: "KernelArguments") -> str: """Render the block using the given context. diff --git a/python/semantic_kernel/template_engine/protocols/text_renderer.py b/python/semantic_kernel/template_engine/protocols/text_renderer.py index 5c9e94e3c1a3..4483bf7b6d2a 100644 --- a/python/semantic_kernel/template_engine/protocols/text_renderer.py +++ b/python/semantic_kernel/template_engine/protocols/text_renderer.py @@ -1,5 +1,6 @@ # Copyright (c) Microsoft. All rights reserved. +from abc import abstractmethod from typing import TYPE_CHECKING, Optional, Protocol, runtime_checkable if TYPE_CHECKING: @@ -11,6 +12,7 @@ class TextRenderer(Protocol): """Protocol for static (text) blocks that don't need async rendering.""" + @abstractmethod def render(self, kernel: "Kernel", arguments: Optional["KernelArguments"] = None) -> str: """Render the block using only the given variables. diff --git a/python/semantic_kernel/utils/telemetry/model_diagnostics/decorators.py b/python/semantic_kernel/utils/telemetry/model_diagnostics/decorators.py index 11ff9279faa7..b104e3d5a964 100644 --- a/python/semantic_kernel/utils/telemetry/model_diagnostics/decorators.py +++ b/python/semantic_kernel/utils/telemetry/model_diagnostics/decorators.py @@ -13,6 +13,7 @@ from semantic_kernel.contents.chat_history import ChatHistory from semantic_kernel.contents.chat_message_content import ChatMessageContent from semantic_kernel.contents.streaming_chat_message_content import StreamingChatMessageContent +from semantic_kernel.contents.streaming_content_mixin import StreamingContentMixin from semantic_kernel.contents.streaming_text_content import StreamingTextContent from semantic_kernel.contents.text_content import TextContent from semantic_kernel.utils.experimental_decorator import experimental_function @@ -434,9 +435,9 @@ def _set_completion_response( "message": completion.to_dict(), } - if hasattr(completion, "finish_reason"): + if isinstance(completion, ChatMessageContent): full_response["finish_reason"] = completion.finish_reason - if hasattr(completion, "choice_index"): + if isinstance(completion, StreamingContentMixin): full_response["index"] = completion.choice_index logger.info( diff --git a/python/uv.lock b/python/uv.lock index e9e0d2fc0d0e..036cd4a2f06e 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -3981,6 +3981,19 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/5a/dc/491b7661614ab97483abf2056be1deee4dc2490ecbf7bff9ab5cdbac86e1/pyreadline3-3.5.4-py3-none-any.whl", hash = "sha256:eaf8e6cc3c49bcccf145fc6067ba8643d1df34d604a1ec0eccbf7a18e6d3fae6", size = 83178 }, ] +[[package]] +name = "pyright" +version = "1.1.392.post0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "nodeenv", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/66/df/3c6f6b08fba7ccf49b114dfc4bb33e25c299883fd763f93fad47ef8bc58d/pyright-1.1.392.post0.tar.gz", hash = "sha256:3b7f88de74a28dcfa90c7d90c782b6569a48c2be5f9d4add38472bdaac247ebd", size = 3789911 } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e7/b1/a18de17f40e4f61ca58856b9ef9b0febf74ff88978c3f7776f910071f567/pyright-1.1.392.post0-py3-none-any.whl", hash = "sha256:252f84458a46fa2f0fd4e2f91fc74f50b9ca52c757062e93f6c250c0d8329eb2", size = 5595487 }, +] + [[package]] name = "pytest" version = "8.3.4" @@ -4815,6 +4828,7 @@ dev = [ { name = "mypy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "nbconvert", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "pre-commit", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pyright", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "pytest", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "pytest-asyncio", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "pytest-cov", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -4886,6 +4900,7 @@ dev = [ { name = "mypy", specifier = ">=1.10" }, { name = "nbconvert", specifier = "~=7.16" }, { name = "pre-commit", specifier = "~=3.7" }, + { name = "pyright", specifier = ">=1.1.392.post0" }, { name = "pytest", specifier = "~=8.2" }, { name = "pytest-asyncio", specifier = "~=0.24" }, { name = "pytest-cov", specifier = ">=5.0" }, From ffd55515bca7ac4a2eb9d920ed050eba80187083 Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Fri, 24 Jan 2025 15:44:40 +0100 Subject: [PATCH 08/20] updated hf --- .../connectors/ai/hugging_face/services/hf_text_embedding.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_embedding.py b/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_embedding.py index 2f2d8fc0bc49..6191adbb00a6 100644 --- a/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_embedding.py +++ b/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_embedding.py @@ -19,7 +19,7 @@ try: from torch import Tensor except ImportError: - Tensor = None + Tensor = Any from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings From a7769ab909fea17174f3dd0c3c7595248d563383 Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Fri, 24 Jan 2025 16:33:24 +0100 Subject: [PATCH 09/20] further pyright work --- python/pyrightconfig.json | 4 ++- .../actors/external_event_buffer_actor.py | 6 ++--- .../dapr_runtime/actors/process_actor.py | 26 ++++++++++++------- .../dapr_runtime/actors/step_actor.py | 8 ++++-- .../dapr_runtime/dapr_process_info.py | 7 ++--- .../processes/dapr_runtime/dapr_step_info.py | 2 +- .../interfaces/process_interface.py | 9 ++++--- .../kernel_process_step_context.py | 11 ++++---- .../local_kernel_process_context.py | 2 +- .../processes/local_runtime/local_process.py | 2 +- .../processes/local_runtime/local_step.py | 4 ++- .../prompt_template/prompt_template_base.py | 3 ++- .../prompt_template/prompt_template_config.py | 6 ++--- 13 files changed, 54 insertions(+), 36 deletions(-) diff --git a/python/pyrightconfig.json b/python/pyrightconfig.json index 969e7612ef1c..774b8c120ced 100644 --- a/python/pyrightconfig.json +++ b/python/pyrightconfig.json @@ -21,5 +21,7 @@ "semantic_kernel/connectors/memory/redis/*", "semantic_kernel/connectors/memory/usearch/*", "semantic_kernel/connectors/memory/weaviate/*" - ] + ], + "venvPath": ".", + "venv": ".venv" } \ No newline at end of file diff --git a/python/semantic_kernel/processes/dapr_runtime/actors/external_event_buffer_actor.py b/python/semantic_kernel/processes/dapr_runtime/actors/external_event_buffer_actor.py index 1938056b4f23..be67996778be 100644 --- a/python/semantic_kernel/processes/dapr_runtime/actors/external_event_buffer_actor.py +++ b/python/semantic_kernel/processes/dapr_runtime/actors/external_event_buffer_actor.py @@ -30,17 +30,17 @@ def __init__(self, ctx: ActorRuntimeContext, actor_id: ActorId): super().__init__(ctx, actor_id) self.queue: Queue[str] = Queue() - async def enqueue(self, message: str) -> None: + async def enqueue(self, external_event: str) -> None: """Enqueues a message event into the buffer. Args: - message: The message event to enqueue as a JSON string. + external_event: The message event to enqueue as a JSON string. Raises: Exception: If an error occurs during enqueue operation. """ try: - self.queue.put(message) + self.queue.put(external_event) queue_list = list(self.queue.queue) queue_state = json.dumps(queue_list) diff --git a/python/semantic_kernel/processes/dapr_runtime/actors/process_actor.py b/python/semantic_kernel/processes/dapr_runtime/actors/process_actor.py index 906d930050ae..1536f70b074d 100644 --- a/python/semantic_kernel/processes/dapr_runtime/actors/process_actor.py +++ b/python/semantic_kernel/processes/dapr_runtime/actors/process_actor.py @@ -5,7 +5,7 @@ import json import logging import uuid -from collections.abc import Callable +from collections.abc import Callable, MutableSequence, Sequence from queue import Queue from typing import Any @@ -59,8 +59,8 @@ def __init__(self, ctx: ActorRuntimeContext, actor_id: ActorId, kernel: Kernel, super().__init__(ctx, actor_id, kernel, factories) self.kernel = kernel self.factories = factories - self.steps: list[StepInterface] = [] - self.step_infos: list[DaprStepInfo] = [] + self.steps: MutableSequence[StepInterface] = [] + self.step_infos: MutableSequence[DaprStepInfo] = [] self.initialize_task: bool | None = False self.external_event_queue: Queue = Queue() self.process_task: asyncio.Task | None = None @@ -133,7 +133,7 @@ async def start(self, keep_alive: bool = True) -> None: if not self.process_task or self.process_task.done(): self.process_task = asyncio.create_task(self.internal_execute(keep_alive=keep_alive)) - async def run_once(self, process_event: str) -> None: + async def run_once(self, process_event: KernelProcessEvent | str | None) -> None: """Starts the process with an initial event and waits for it to finish. Args: @@ -148,7 +148,9 @@ async def run_once(self, process_event: str) -> None: actor_interface=ExternalEventBufferInterface, ) try: - await external_event_queue.enqueue(process_event) + await external_event_queue.enqueue( + process_event.model_dump_json() if isinstance(process_event, KernelProcessEvent) else process_event + ) logger.info(f"Run once for process event: {process_event}") @@ -172,7 +174,7 @@ async def stop(self): with contextlib.suppress(asyncio.CancelledError): await self.process_task - async def initialize_step(self): + async def initialize_step(self, input: str) -> None: """Initializes the step.""" # The process does not need any further initialization pass @@ -218,9 +220,13 @@ async def to_dapr_process_info(self) -> DaprProcessInfo: process_state = KernelProcessState(self.name, self.id.id) step_tasks = [step.to_dapr_step_info() for step in self.steps] - steps = await asyncio.gather(*step_tasks) + steps: Sequence[str] = await asyncio.gather(*step_tasks) return DaprProcessInfo( - inner_step_python_type=self.inner_step_type, edges=self.process.edges, state=process_state, steps=steps + inner_step_python_type=self.inner_step_type, + edges=self.process.edges, + state=process_state, + # steps are model dumps of the classes, which pydantic can parse back. + steps=steps, # type: ignore ) async def handle_message(self, message: ProcessMessage) -> None: @@ -254,7 +260,7 @@ async def _initialize_process_actor( self.output_edges = {kvp[0]: list(kvp[1]) for kvp in self.process.edges.items()} for step in self.step_infos: - step_actor = None + step_actor: StepInterface | None = None # The current step should already have a name. assert step.state and step.state.name is not None # nosec @@ -286,7 +292,7 @@ async def _initialize_process_actor( assert step.state and step.state.id is not None # nosec scoped_step_id = self._scoped_actor_id(ActorId(step.state.id)) - step_actor: StepInterface = ActorProxy.create( # type: ignore + step_actor = ActorProxy.create( # type: ignore actor_type=f"{StepActor.__name__}", actor_id=scoped_step_id, actor_interface=StepInterface, diff --git a/python/semantic_kernel/processes/dapr_runtime/actors/step_actor.py b/python/semantic_kernel/processes/dapr_runtime/actors/step_actor.py index f3d312b7ab0d..d1f42f645817 100644 --- a/python/semantic_kernel/processes/dapr_runtime/actors/step_actor.py +++ b/python/semantic_kernel/processes/dapr_runtime/actors/step_actor.py @@ -332,7 +332,7 @@ async def handle_message(self, message: ProcessMessage): raise ProcessFunctionNotFoundException(f"Function {target_function} not found in plugin {self.name}") invoke_result = None - event_name = None + event_name: str = "" event_value = None try: @@ -340,6 +340,8 @@ async def handle_message(self, message: ProcessMessage): f"Invoking plugin `{function.plugin_name}` and function `{function.name}` with arguments: {arguments}" ) invoke_result = await self.invoke_function(function, self.kernel, arguments) + if invoke_result is None: + raise KernelException(f"Function {target_function} returned None.") event_name = f"{target_function}.OnResult" event_value = invoke_result.value @@ -406,7 +408,9 @@ async def to_dapr_step_info(self) -> str: raise ValueError("The inner step type must be initialized before converting to DaprStepInfo.") step_info = DaprStepInfo( - inner_step_python_type=self.inner_step_type, state=self.step_info.state, edges=self.step_info.edges + inner_step_python_type=self.inner_step_type, + state=self.step_info.state, + edges=self.step_info.edges, ) return step_info.model_dump_json() diff --git a/python/semantic_kernel/processes/dapr_runtime/dapr_process_info.py b/python/semantic_kernel/processes/dapr_runtime/dapr_process_info.py index 4a93ad10e66a..d44a9b22954a 100644 --- a/python/semantic_kernel/processes/dapr_runtime/dapr_process_info.py +++ b/python/semantic_kernel/processes/dapr_runtime/dapr_process_info.py @@ -1,6 +1,7 @@ # Copyright (c) Microsoft. All rights reserved. +from collections.abc import MutableSequence from typing import Literal from pydantic import Field @@ -16,8 +17,8 @@ class DaprProcessInfo(DaprStepInfo): """A Dapr process info.""" - type: Literal["DaprProcessInfo"] = Field("DaprProcessInfo") # type: ignore - steps: list["DaprStepInfo | DaprProcessInfo"] = Field(default_factory=list) + type: Literal["DaprProcessInfo"] = Field(default="DaprProcessInfo") # type: ignore + steps: MutableSequence["DaprStepInfo | DaprProcessInfo"] = Field(default_factory=list) def to_kernel_process(self) -> KernelProcess: """Converts the Dapr process info to a kernel process.""" @@ -40,7 +41,7 @@ def from_kernel_process(cls, kernel_process: KernelProcess) -> "DaprProcessInfo" raise ValueError("Kernel process must be provided") dapr_step_info = DaprStepInfo.from_kernel_step_info(kernel_process) - dapr_steps: list[DaprProcessInfo | DaprStepInfo] = [] + dapr_steps: MutableSequence[DaprProcessInfo | DaprStepInfo] = [] for step in kernel_process.steps: if isinstance(step, KernelProcess): diff --git a/python/semantic_kernel/processes/dapr_runtime/dapr_step_info.py b/python/semantic_kernel/processes/dapr_runtime/dapr_step_info.py index 85f149709490..52fe30d262d7 100644 --- a/python/semantic_kernel/processes/dapr_runtime/dapr_step_info.py +++ b/python/semantic_kernel/processes/dapr_runtime/dapr_step_info.py @@ -18,7 +18,7 @@ class DaprStepInfo(KernelBaseModel): """A Dapr step info.""" - type: Literal["DaprStepInfo"] = Field("DaprStepInfo") + type: Literal["DaprStepInfo"] = Field(default="DaprStepInfo") inner_step_python_type: str state: KernelProcessStepState edges: dict[str, list[KernelProcessEdge]] = Field(default_factory=dict) diff --git a/python/semantic_kernel/processes/dapr_runtime/interfaces/process_interface.py b/python/semantic_kernel/processes/dapr_runtime/interfaces/process_interface.py index 63268ed58fbc..7f93db6983d3 100644 --- a/python/semantic_kernel/processes/dapr_runtime/interfaces/process_interface.py +++ b/python/semantic_kernel/processes/dapr_runtime/interfaces/process_interface.py @@ -2,13 +2,16 @@ from abc import ABC, abstractmethod +from typing import TYPE_CHECKING from dapr.actor import ActorInterface, actormethod -from semantic_kernel.processes.dapr_runtime.dapr_process_info import DaprProcessInfo -from semantic_kernel.processes.kernel_process.kernel_process_event import KernelProcessEvent from semantic_kernel.utils.experimental_decorator import experimental_class +if TYPE_CHECKING: + from semantic_kernel.processes.dapr_runtime.dapr_process_info import DaprProcessInfo + from semantic_kernel.processes.kernel_process.kernel_process_event import KernelProcessEvent + @experimental_class class ProcessInterface(ActorInterface, ABC): @@ -35,7 +38,7 @@ async def start(self, keep_alive: bool) -> None: @abstractmethod @actormethod(name="run_once") - async def run_once(self, process_event: KernelProcessEvent) -> None: + async def run_once(self, process_event: "KernelProcessEvent | str | None") -> None: """Starts the process with an initial event and then waits for the process to finish. :param process_event: Required. The KernelProcessEvent to start the process with. diff --git a/python/semantic_kernel/processes/kernel_process/kernel_process_step_context.py b/python/semantic_kernel/processes/kernel_process/kernel_process_step_context.py index 8b90b204a5cc..03fcbe9e6db4 100644 --- a/python/semantic_kernel/processes/kernel_process/kernel_process_step_context.py +++ b/python/semantic_kernel/processes/kernel_process/kernel_process_step_context.py @@ -17,9 +17,9 @@ class KernelProcessStepContext(KernelBaseModel): def __init__(self, channel: KernelProcessMessageChannel): """Initialize the step context.""" - super().__init__(step_message_channel=channel) + super().__init__(step_message_channel=channel) # type: ignore - async def emit_event(self, process_event: "KernelProcessEvent | str | Enum", **kwargs) -> None: + async def emit_event(self, process_event: "KernelProcessEvent | str | Enum | None", **kwargs) -> None: """Emit an event from the current step. It is possible to either specify a `KernelProcessEvent` object or the ID of the event @@ -34,10 +34,9 @@ async def emit_event(self, process_event: "KernelProcessEvent | str | Enum", **k if process_event is None: raise ProcessEventUndefinedException("Process event cannot be None") - if isinstance(process_event, Enum): - process_event = process_event.value - if not isinstance(process_event, KernelProcessEvent): - process_event = KernelProcessEvent(id=process_event, **kwargs) + process_event = KernelProcessEvent( + id=process_event.value if isinstance(process_event, Enum) else process_event, **kwargs + ) await self.step_message_channel.emit_event(process_event) diff --git a/python/semantic_kernel/processes/local_runtime/local_kernel_process_context.py b/python/semantic_kernel/processes/local_runtime/local_kernel_process_context.py index 86612009a36a..a33c85904699 100644 --- a/python/semantic_kernel/processes/local_runtime/local_kernel_process_context.py +++ b/python/semantic_kernel/processes/local_runtime/local_kernel_process_context.py @@ -36,7 +36,7 @@ def __init__(self, process: "KernelProcess", kernel: "Kernel"): factories=process.factories, ) - super().__init__(local_process=local_process) + super().__init__(local_process=local_process) # type: ignore async def start_with_event(self, initial_event: "KernelProcessEvent") -> None: """Starts the local process with an initial event.""" diff --git a/python/semantic_kernel/processes/local_runtime/local_process.py b/python/semantic_kernel/processes/local_runtime/local_process.py index 99a4a3ce7ee2..51f707441727 100644 --- a/python/semantic_kernel/processes/local_runtime/local_process.py +++ b/python/semantic_kernel/processes/local_runtime/local_process.py @@ -145,7 +145,7 @@ def initialize_process(self): assert step.state and step.state.id is not None # nosec # Create a LocalStep for the step - local_step = LocalStep( + local_step = LocalStep( # type: ignore step_info=step, kernel=self.kernel, factories=self.factories, diff --git a/python/semantic_kernel/processes/local_runtime/local_step.py b/python/semantic_kernel/processes/local_runtime/local_step.py index 9f8a63b93e43..2d6b17463470 100644 --- a/python/semantic_kernel/processes/local_runtime/local_step.py +++ b/python/semantic_kernel/processes/local_runtime/local_step.py @@ -150,7 +150,7 @@ async def handle_message(self, message: LocalMessage): raise ProcessFunctionNotFoundException(f"Function {target_function} not found in plugin {self.name}") invoke_result = None - event_name = None + event_name: str = "" event_value = None try: @@ -158,6 +158,8 @@ async def handle_message(self, message: LocalMessage): f"Invoking plugin `{function.plugin_name}` and function `{function.name}` with arguments: {arguments}" ) invoke_result = await self.invoke_function(function, self.kernel, arguments) + if invoke_result is None: + raise KernelException(f"Function {target_function} returned None.") event_name = f"{target_function}.OnResult" event_value = invoke_result.value except Exception as ex: diff --git a/python/semantic_kernel/prompt_template/prompt_template_base.py b/python/semantic_kernel/prompt_template/prompt_template_base.py index 45623ed61514..5261cd24a923 100644 --- a/python/semantic_kernel/prompt_template/prompt_template_base.py +++ b/python/semantic_kernel/prompt_template/prompt_template_base.py @@ -1,6 +1,7 @@ # Copyright (c) Microsoft. All rights reserved. from abc import ABC, abstractmethod +from collections.abc import Sequence from html import escape from typing import TYPE_CHECKING @@ -62,7 +63,7 @@ def _get_allow_dangerously_set_function_output(self) -> bool: allow_dangerously_set_content = True return allow_dangerously_set_content - def _should_escape(self, name: str, input_variables: list["InputVariable"]) -> bool: + def _should_escape(self, name: str, input_variables: Sequence["InputVariable"]) -> bool: """Check if the variable should be escaped. If the PromptTemplate allows dangerously set content, then the variable will not be escaped, diff --git a/python/semantic_kernel/prompt_template/prompt_template_config.py b/python/semantic_kernel/prompt_template/prompt_template_config.py index 4313e92327a3..051138220799 100644 --- a/python/semantic_kernel/prompt_template/prompt_template_config.py +++ b/python/semantic_kernel/prompt_template/prompt_template_config.py @@ -1,6 +1,6 @@ # Copyright (c) Microsoft. All rights reserved. import logging -from collections.abc import MutableMapping, Sequence +from collections.abc import MutableMapping, MutableSequence, Sequence from typing import TypeVar from pydantic import Field, field_validator, model_validator @@ -39,7 +39,7 @@ class PromptTemplateConfig(KernelBaseModel): description: str | None = "" template: str | None = None template_format: TEMPLATE_FORMAT_TYPES = KERNEL_TEMPLATE_FORMAT_NAME - input_variables: Sequence[InputVariable] = Field(default_factory=list) + input_variables: MutableSequence[InputVariable] = Field(default_factory=list) allow_dangerously_set_content: bool = False execution_settings: MutableMapping[str, PromptExecutionSettings] = Field(default_factory=dict) @@ -109,7 +109,7 @@ def restore( description: str, template: str, template_format: TEMPLATE_FORMAT_TYPES = KERNEL_TEMPLATE_FORMAT_NAME, - input_variables: Sequence[InputVariable] = [], + input_variables: MutableSequence[InputVariable] = [], execution_settings: MutableMapping[str, PromptExecutionSettings] = {}, allow_dangerously_set_content: bool = False, ) -> _T: From 60d5967cf2b65541a7c56107fec198e220b227a8 Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Mon, 27 Jan 2025 09:48:34 +0100 Subject: [PATCH 10/20] ignore tensor is any --- .../connectors/ai/hugging_face/services/hf_text_embedding.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_embedding.py b/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_embedding.py index 6191adbb00a6..58c681f835b7 100644 --- a/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_embedding.py +++ b/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_embedding.py @@ -16,12 +16,13 @@ from semantic_kernel.utils.experimental_decorator import experimental_class if TYPE_CHECKING: + from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings + try: from torch import Tensor except ImportError: - Tensor = Any + Tensor = Any # type: ignore - from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings logger: logging.Logger = logging.getLogger(__name__) From 028e5701ff6f390bf10d2c45f159a67cde2d9a42 Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Tue, 11 Feb 2025 11:22:02 +0100 Subject: [PATCH 11/20] added hugging face for 3.13 back in --- python/.pre-commit-config.yaml | 4 +- python/Makefile | 4 +- python/pyproject.toml | 6 +- .../services/hf_text_completion.py | 14 +- .../services/hf_text_embedding.py | 20 +- .../hugging_face/test_hf_text_completions.py | 11 +- .../ai/hugging_face/test_hf_text_embedding.py | 7 - python/uv.lock | 780 +++++++++--------- 8 files changed, 418 insertions(+), 428 deletions(-) diff --git a/python/.pre-commit-config.yaml b/python/.pre-commit-config.yaml index cd935fb59473..11beea8e1877 100644 --- a/python/.pre-commit-config.yaml +++ b/python/.pre-commit-config.yaml @@ -32,14 +32,14 @@ repos: - id: pyupgrade args: [--py310-plus] - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.7.4 + rev: v0.9.6 hooks: - id: ruff args: [ --fix, --exit-non-zero-on-fix ] - id: ruff-format - repo: https://github.com/astral-sh/uv-pre-commit # uv version. - rev: 0.5.21 + rev: 0.5.30 hooks: # Update the uv lockfile - id: uv-lock diff --git a/python/Makefile b/python/Makefile index 54abd2096cd9..caea67c96ec7 100644 --- a/python/Makefile +++ b/python/Makefile @@ -32,7 +32,7 @@ help: echo "" echo -e "\033[1mVARIABLES:\033[0m" echo " PYTHON_VERSION - Python version to use. Default is 3.10" - echo " By default, 3.10, 3.11, and 3.12 are installed as well." + echo " By default, 3.10, 3.11, 3.12 and 3.13 are installed as well." ############################## # INSTALL @@ -69,7 +69,7 @@ endif .ONESHELL: install-python: echo "Installing python versions" - uv python install 3.10 3.11 3.12 3.13 3.13t + uv python install 3.10 3.11 3.12 3.13 ############################## # INSTALL-PRE-COMMIT diff --git a/python/pyproject.toml b/python/pyproject.toml index 75f489524fbe..bd1401588bb7 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -63,7 +63,7 @@ chroma = [ ] google = [ "google-cloud-aiplatform == 1.79.0", - "google-generativeai == 0.7" + "google-generativeai ~= 0.8" ] hugging_face = [ "transformers[torch] ~= 4.28", @@ -112,7 +112,7 @@ usearch = [ "pyarrow >= 12.0,< 20.0" ] weaviate = [ - "weaviate-client>=4.7,<5.0", + "weaviate-client>=4.10,<5.0", ] pandas = [ "pandas ~= 2.2" @@ -140,7 +140,7 @@ dev-dependencies = [ "snoop ~= 0.4", "mypy >= 1.10", "types-PyYAML ~= 6.0.12.20240311", - "ruff ~= 0.7", + "ruff ~= 0.9", "pyright>=1.1.392.post0", ] environments = [ diff --git a/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_completion.py b/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_completion.py index a866d4bef1c3..3136e3c0f582 100644 --- a/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_completion.py +++ b/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_completion.py @@ -12,6 +12,9 @@ from typing_extensions import override # pragma: no cover +import torch +from transformers import AutoTokenizer, TextIteratorStreamer, pipeline + from semantic_kernel.connectors.ai.hugging_face.hf_prompt_execution_settings import HuggingFacePromptExecutionSettings from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings from semantic_kernel.connectors.ai.text_completion_client_base import TextCompletionClientBase @@ -25,15 +28,6 @@ logger: logging.Logger = logging.getLogger(__name__) -try: - import torch - from transformers import AutoTokenizer, TextIteratorStreamer, pipeline - - ready = True -except ImportError: - ready = False - logger.warning("torch is not installed, HuggingFaceTextCompletion will not work.") - class HuggingFaceTextCompletion(TextCompletionClientBase): """Hugging Face text completion service.""" @@ -76,8 +70,6 @@ def __init__( Note that this model will be downloaded from the Hugging Face model hub. """ - if not ready: - raise ImportError("torch is required to use HuggingFaceTextCompletion.") generator = pipeline( task=task, model=ai_model_id, diff --git a/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_embedding.py b/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_embedding.py index 58c681f835b7..41ed05229208 100644 --- a/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_embedding.py +++ b/python/semantic_kernel/connectors/ai/hugging_face/services/hf_text_embedding.py @@ -9,6 +9,8 @@ else: from typing_extensions import override # pragma: no cover +import sentence_transformers +import torch from numpy import ndarray from semantic_kernel.connectors.ai.embeddings.embedding_generator_base import EmbeddingGeneratorBase @@ -16,25 +18,13 @@ from semantic_kernel.utils.experimental_decorator import experimental_class if TYPE_CHECKING: - from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings + from torch import Tensor - try: - from torch import Tensor - except ImportError: - Tensor = Any # type: ignore + from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings logger: logging.Logger = logging.getLogger(__name__) -try: - import sentence_transformers - import torch - - ready = True -except ImportError: - logger.warning("torch is not installed, HuggingFaceTextCompletion will not work.") - ready = False - @experimental_class class HuggingFaceTextEmbedding(EmbeddingGeneratorBase): @@ -59,8 +49,6 @@ def __init__( Note that this model will be downloaded from the Hugging Face model hub. """ - if not ready: - raise ImportError("torch is not installed, HuggingFaceTextEmbedding will not work.") resolved_device = f"cuda:{device}" if device >= 0 and torch.cuda.is_available() else "cpu" super().__init__( ai_model_id=ai_model_id, diff --git a/python/tests/unit/connectors/ai/hugging_face/test_hf_text_completions.py b/python/tests/unit/connectors/ai/hugging_face/test_hf_text_completions.py index 5f3a65a3c866..ddf8d48caa43 100644 --- a/python/tests/unit/connectors/ai/hugging_face/test_hf_text_completions.py +++ b/python/tests/unit/connectors/ai/hugging_face/test_hf_text_completions.py @@ -4,6 +4,7 @@ from unittest.mock import MagicMock, Mock, patch import pytest +from transformers import TextIteratorStreamer from semantic_kernel.connectors.ai.hugging_face.services.hf_text_completion import HuggingFaceTextCompletion from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings @@ -12,16 +13,6 @@ from semantic_kernel.kernel import Kernel from semantic_kernel.prompt_template.prompt_template_config import PromptTemplateConfig -try: - import torch # noqa: F401 - from transformers import TextIteratorStreamer # noqa: F401 - - ready = True -except ImportError: - ready = False - -pytestmark = pytest.mark.skipif(not ready, reason="Pytorch is not installed.") - @pytest.mark.parametrize( ("model_name", "task", "input_str"), diff --git a/python/tests/unit/connectors/ai/hugging_face/test_hf_text_embedding.py b/python/tests/unit/connectors/ai/hugging_face/test_hf_text_embedding.py index ae792fefd613..d1f71338c99c 100644 --- a/python/tests/unit/connectors/ai/hugging_face/test_hf_text_embedding.py +++ b/python/tests/unit/connectors/ai/hugging_face/test_hf_text_embedding.py @@ -10,13 +10,6 @@ ) from semantic_kernel.exceptions import ServiceResponseException -try: - import torch -except ImportError: - torch = None - -pytestmark = pytest.mark.skipif(not torch, reason="Pytorch is not installed.") - def test_huggingface_text_embedding_initialization(): model_name = "sentence-transformers/all-MiniLM-L6-v2" diff --git a/python/uv.lock b/python/uv.lock index 036cd4a2f06e..c182feb1d912 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -1,18 +1,18 @@ version = 1 requires-python = ">=3.10" resolution-markers = [ - "python_full_version < '3.11' and sys_platform == 'darwin'", - "python_full_version == '3.11.*' and sys_platform == 'darwin'", - "python_full_version == '3.12.*' and sys_platform == 'darwin'", "python_full_version >= '3.13' and sys_platform == 'darwin'", - "python_full_version < '3.11' and sys_platform == 'linux'", - "python_full_version == '3.11.*' and sys_platform == 'linux'", - "python_full_version == '3.12.*' and sys_platform == 'linux'", + "python_full_version == '3.12.*' and sys_platform == 'darwin'", + "python_full_version == '3.11.*' and sys_platform == 'darwin'", + "python_full_version < '3.11' and sys_platform == 'darwin'", "python_full_version >= '3.13' and sys_platform == 'linux'", - "python_full_version < '3.11' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and sys_platform == 'win32'", - "python_full_version == '3.12.*' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and sys_platform == 'linux'", + "python_full_version == '3.11.*' and sys_platform == 'linux'", + "python_full_version < '3.11' and sys_platform == 'linux'", "python_full_version >= '3.13' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'win32'", + "python_full_version < '3.11' and sys_platform == 'win32'", ] supported-markers = [ "sys_platform == 'darwin'", @@ -25,13 +25,13 @@ name = "accelerate" version = "1.3.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "huggingface-hub", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 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""" - _data_uri = None + temp_data_uri = None if data_uri: - _data_uri = DataUri.from_data_uri(data_uri, self.default_mime_type) + temp_data_uri = DataUri.from_data_uri(data_uri, self.default_mime_type) if "metadata" in kwargs: - kwargs["metadata"].update(_data_uri.parameters) + kwargs["metadata"].update(temp_data_uri.parameters) else: - kwargs["metadata"] = _data_uri.parameters + kwargs["metadata"] = temp_data_uri.parameters elif data: if isinstance(data, str): - _data_uri = DataUri( + temp_data_uri = DataUri( data_str=data, data_format=data_format, mime_type=mime_type or self.default_mime_type ) else: - _data_uri = DataUri( + temp_data_uri = DataUri( data_bytes=data, data_format=data_format, mime_type=mime_type or self.default_mime_type ) @@ -92,7 +92,7 @@ def __init__( uri = Url(uri) super().__init__(uri=uri, **kwargs) - self._data_uri = _data_uri + self._data_uri = temp_data_uri @computed_field # type: ignore @property From c0c947f3240f1694383c0ec5bd3f36c36894fbff Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Tue, 11 Feb 2025 14:51:03 +0100 Subject: [PATCH 13/20] fix in sessions settings --- .../sessions_python_tool/sessions_python_settings.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/semantic_kernel/core_plugins/sessions_python_tool/sessions_python_settings.py b/python/semantic_kernel/core_plugins/sessions_python_tool/sessions_python_settings.py index d7e4195f49a5..f43d7784396b 100644 --- a/python/semantic_kernel/core_plugins/sessions_python_tool/sessions_python_settings.py +++ b/python/semantic_kernel/core_plugins/sessions_python_tool/sessions_python_settings.py @@ -59,7 +59,7 @@ def _validate_endpoint(cls, endpoint: str) -> str: else: endpoint_parsed = urlsplit(endpoint)._asdict() if endpoint_parsed["path"]: - endpoint_parsed["path"] = re.sub("/{2,}", "/", endpoint_parsed["path"]) + endpoint_parsed["path"] = re.sub(r"/{2,}", "/", endpoint_parsed["path"]) else: endpoint_parsed["path"] = "/" return str(urlunsplit(endpoint_parsed.values())) From 0e50af1745b8db48765469ceddc6d472d287a959 Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Tue, 11 Feb 2025 14:58:59 +0100 Subject: [PATCH 14/20] fix backslash in fstring --- .../demos/document_generator/custom_selection_strategy.py | 4 +++- .../demos/document_generator/custom_termination_strategy.py | 4 +++- .../guided_conversation/plugins/agenda.py | 2 +- .../guided_conversation/utils/resources.py | 2 +- 4 files changed, 8 insertions(+), 4 deletions(-) diff --git a/python/samples/demos/document_generator/custom_selection_strategy.py b/python/samples/demos/document_generator/custom_selection_strategy.py index d793022ddbe9..996be9cc8ccf 100644 --- a/python/samples/demos/document_generator/custom_selection_strategy.py +++ b/python/samples/demos/document_generator/custom_selection_strategy.py @@ -17,6 +17,8 @@ from semantic_kernel.agents import Agent from semantic_kernel.contents.chat_message_content import ChatMessageContent +NEWLINE = "\n" + @experimental_class class CustomSelectionStrategy(SelectionStrategy): @@ -80,7 +82,7 @@ def get_system_message(self, agents: list["Agent"]) -> str: Initially, the chat history may be empty. Here are the agents with their indices, names, and descriptions: -{"\n".join(f"[{index}] {agent.name}:\n{agent.description}" for index, agent in enumerate(agents))} +{NEWLINE.join(f"[{index}] {agent.name}:{NEWLINE}{agent.description}" for index, agent in enumerate(agents))} Your task is to select the next agent based on the conversation history. diff --git a/python/samples/demos/document_generator/custom_termination_strategy.py b/python/samples/demos/document_generator/custom_termination_strategy.py index 2c954bc79b0a..eae477403479 100644 --- a/python/samples/demos/document_generator/custom_termination_strategy.py +++ b/python/samples/demos/document_generator/custom_termination_strategy.py @@ -20,6 +20,8 @@ TERMINATE_TRUE_KEYWORD = "yes" TERMINATE_FALSE_KEYWORD = "no" +NEWLINE = "\n" + class CustomTerminationStrategy(TerminationStrategy): NUM_OF_RETRIES: ClassVar[int] = 3 @@ -82,7 +84,7 @@ def get_system_message(self) -> str: The chat history may start empty as no agents have spoken yet. Here are the agents with their indices, names, and descriptions: -{"\n".join(f"[{index}] {agent.name}:\n{agent.description}" for index, agent in enumerate(self.agents))} +{NEWLINE.join(f"[{index}] {agent.name}:{NEWLINE}{agent.description}" for index, agent in enumerate(self.agents))} Your task is NOT to continue the conversation. Determine if the latest content is approved by all agents. If approved, say "{TERMINATE_TRUE_KEYWORD}". Otherwise, say "{TERMINATE_FALSE_KEYWORD}". diff --git a/python/samples/demos/guided_conversations/guided_conversation/plugins/agenda.py b/python/samples/demos/guided_conversations/guided_conversation/plugins/agenda.py index a74b897dcb9d..e963b0cad46a 100644 --- a/python/samples/demos/guided_conversations/guided_conversation/plugins/agenda.py +++ b/python/samples/demos/guided_conversations/guided_conversation/plugins/agenda.py @@ -152,7 +152,7 @@ def get_agenda_for_prompt(self) -> str: return "None" agenda_str = "\n".join( [ - f"{i+1}. [{format_resource(item['resource'], ResourceConstraintUnit.TURNS)}] {item['title']}" + f"{i + 1}. [{format_resource(item['resource'], ResourceConstraintUnit.TURNS)}] {item['title']}" for i, item in enumerate(agenda_items) ] ) diff --git a/python/samples/demos/guided_conversations/guided_conversation/utils/resources.py b/python/samples/demos/guided_conversations/guided_conversation/utils/resources.py index 14cf65431911..581c1f0a18cd 100644 --- a/python/samples/demos/guided_conversations/guided_conversation/utils/resources.py +++ b/python/samples/demos/guided_conversations/guided_conversation/utils/resources.py @@ -205,7 +205,7 @@ def get_resource_instructions(self) -> tuple[str, str]: resource_instructions = "" if self.resource_constraint.mode == ResourceConstraintMode.EXACT: - exact_mode_instructions = f"""There {'are' if is_plural_remaining else 'is'} {formatted_remaining_resource} remaining (including this one) - the conversation will automatically terminate when 0 turns are left. \ + exact_mode_instructions = f"""There {"are" if is_plural_remaining else "is"} {formatted_remaining_resource} remaining (including this one) - the conversation will automatically terminate when 0 turns are left. \ You should continue the conversation until it is automatically terminated. This means you should NOT preemptively end the conversation, \ either explicitly (by selecting the "End conversation" action) or implicitly (e.g. by telling the user that you have all required information and they should wait for the next step). \ Your goal is not to maximize efficiency (i.e. complete the artifact as quickly as possible then end the conversation), but rather to make the best use of ALL remaining turns available to you""" From 7e87c34a3cb1174b678883b401b8419bb943389f Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Wed, 12 Feb 2025 11:36:12 +0100 Subject: [PATCH 15/20] revert --- .github/workflows/python-unit-tests.yml | 8 -------- .../dapr_runtime/actors/external_event_buffer_actor.py | 6 +++--- 2 files changed, 3 insertions(+), 11 deletions(-) diff --git a/.github/workflows/python-unit-tests.yml b/.github/workflows/python-unit-tests.yml index 1e764051a3b5..e7a749ab589c 100644 --- a/.github/workflows/python-unit-tests.yml +++ b/.github/workflows/python-unit-tests.yml @@ -24,14 +24,6 @@ jobs: - python-version: "3.13" os: "ubuntu-latest" experimental: true - # - python-version: "3.13t" - # os: "ubuntu-latest" - # experimental: true - # gil: 0 - # - python-version: "3.13t" - # os: "ubuntu-latest" - # experimental: true - # gil: 1 env: UV_PYTHON: ${{ matrix.python-version }} permissions: diff --git a/python/semantic_kernel/processes/dapr_runtime/actors/external_event_buffer_actor.py b/python/semantic_kernel/processes/dapr_runtime/actors/external_event_buffer_actor.py index be67996778be..1938056b4f23 100644 --- a/python/semantic_kernel/processes/dapr_runtime/actors/external_event_buffer_actor.py +++ b/python/semantic_kernel/processes/dapr_runtime/actors/external_event_buffer_actor.py @@ -30,17 +30,17 @@ def __init__(self, ctx: ActorRuntimeContext, actor_id: ActorId): super().__init__(ctx, actor_id) self.queue: Queue[str] = Queue() - async def enqueue(self, external_event: str) -> None: + async def enqueue(self, message: str) -> None: """Enqueues a message event into the buffer. Args: - external_event: The message event to enqueue as a JSON string. + message: The message event to enqueue as a JSON string. Raises: Exception: If an error occurs during enqueue operation. """ try: - self.queue.put(external_event) + self.queue.put(message) queue_list = list(self.queue.queue) queue_state = json.dumps(queue_list) From 15e9315214475d5cb6c2fa0b0d3127ee0f33c6e8 Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Wed, 12 Feb 2025 11:44:36 +0100 Subject: [PATCH 16/20] google fixes --- .../google_ai/services/google_ai_chat_completion.py | 12 ++++++++---- .../google_ai/services/google_ai_text_completion.py | 8 ++++++-- .../google_ai/services/google_ai_text_embedding.py | 2 +- python/uv.lock | 6 +++--- 4 files changed, 18 insertions(+), 10 deletions(-) diff --git a/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_chat_completion.py b/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_chat_completion.py index b7005c3c1f5d..ef50f4f0ef1b 100644 --- a/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_chat_completion.py +++ b/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_chat_completion.py @@ -127,8 +127,10 @@ async def _inner_get_chat_message_contents( assert isinstance(settings, GoogleAIChatPromptExecutionSettings) # nosec genai.configure(api_key=self.service_settings.api_key.get_secret_value()) + if not self.service_settings.gemini_model_id: + raise ServiceInitializationError("The Google AI Gemini model ID is required.") model = GenerativeModel( - self.service_settings.gemini_model_id, + model_name=self.service_settings.gemini_model_id, system_instruction=filter_system_message(chat_history), ) @@ -136,7 +138,7 @@ async def _inner_get_chat_message_contents( contents=self._prepare_chat_history_for_request(chat_history), generation_config=GenerationConfig(**settings.prepare_settings_dict()), tools=settings.tools, - tool_config=settings.tool_config, + tool_config=settings.tool_config, # type: ignore ) return [self._create_chat_message_content(response, candidate) for candidate in response.candidates] @@ -154,8 +156,10 @@ async def _inner_get_streaming_chat_message_contents( assert isinstance(settings, GoogleAIChatPromptExecutionSettings) # nosec genai.configure(api_key=self.service_settings.api_key.get_secret_value()) + if not self.service_settings.gemini_model_id: + raise ServiceInitializationError("The Google AI Gemini model ID is required.") model = GenerativeModel( - self.service_settings.gemini_model_id, + model_name=self.service_settings.gemini_model_id, system_instruction=filter_system_message(chat_history), ) @@ -163,7 +167,7 @@ async def _inner_get_streaming_chat_message_contents( contents=self._prepare_chat_history_for_request(chat_history), generation_config=GenerationConfig(**settings.prepare_settings_dict()), tools=settings.tools, - tool_config=settings.tool_config, + tool_config=settings.tool_config, # type: ignore stream=True, ) diff --git a/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_text_completion.py b/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_text_completion.py index 2c2c25bc1910..625ee5c3e251 100644 --- a/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_text_completion.py +++ b/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_text_completion.py @@ -99,8 +99,10 @@ async def _inner_get_text_contents( assert isinstance(settings, GoogleAITextPromptExecutionSettings) # nosec genai.configure(api_key=self.service_settings.api_key.get_secret_value()) + if not self.service_settings.gemini_model_id: + raise ServiceInitializationError("The Google AI Gemini model ID is required.") model = GenerativeModel( - self.service_settings.gemini_model_id, + model_name=self.service_settings.gemini_model_id, ) response: AsyncGenerateContentResponse = await model.generate_content_async( @@ -122,8 +124,10 @@ async def _inner_get_streaming_text_contents( assert isinstance(settings, GoogleAITextPromptExecutionSettings) # nosec genai.configure(api_key=self.service_settings.api_key.get_secret_value()) + if not self.service_settings.gemini_model_id: + raise ServiceInitializationError("The Google AI Gemini model ID is required.") model = GenerativeModel( - self.service_settings.gemini_model_id, + model_name=self.service_settings.gemini_model_id, ) response: AsyncGenerateContentResponse = await model.generate_content_async( diff --git a/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_text_embedding.py b/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_text_embedding.py index 6f2ceff601d7..032e4eb8ae3b 100644 --- a/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_text_embedding.py +++ b/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_text_embedding.py @@ -93,7 +93,7 @@ async def generate_raw_embeddings( assert isinstance(settings, GoogleAIEmbeddingPromptExecutionSettings) # nosec genai.configure(api_key=self.service_settings.api_key.get_secret_value()) - response: BatchEmbeddingDict = await genai.embed_content_async( + response: BatchEmbeddingDict = await genai.embed_content_async( # type: ignore model=self.service_settings.embedding_model_id, content=texts, **settings.prepare_settings_dict(), diff --git a/python/uv.lock b/python/uv.lock index c182feb1d912..780806f10c6a 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -2887,8 +2887,8 @@ name = "onnxruntime-genai" version = "0.5.2" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "onnxruntime", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "numpy", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "onnxruntime", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/52/35/22a421f852eb14f47c33a4dd4c3ef58a2f3d5a96be8bb6d6cc271b2a0e83/onnxruntime_genai-0.5.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:cd322ead0027fbfa309e7be76c4512157ad369dc189ab3334a58a199b4f58a02", size = 769921 }, @@ -4894,7 +4894,7 @@ requires-dist = [ { name = "numpy", marker = "python_full_version < '3.12'", specifier = ">=1.25.0" }, { name = "numpy", marker = "python_full_version >= '3.12'", specifier = ">=1.26.0" }, { name = "ollama", marker = "extra == 'ollama'", specifier = "~=0.4" }, - { name = "onnxruntime-genai", marker = "extra == 'onnx'", specifier = "~=0.5" }, + { name = "onnxruntime-genai", marker = "python_full_version < '3.13' and extra == 'onnx'", specifier = "~=0.5" }, { name = "openai", specifier = "~=1.61" }, { name = "openapi-core", specifier = ">=0.18,<0.20" }, { name = "opentelemetry-api", specifier = "~=1.24" }, From 50a2086518e0b51a0d8f02b5c0857d51d3fcd102 Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Wed, 12 Feb 2025 11:50:20 +0100 Subject: [PATCH 17/20] final google fix --- .../ai/google/google_ai/services/google_ai_text_embedding.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_text_embedding.py b/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_text_embedding.py index 032e4eb8ae3b..98cfc71ce173 100644 --- a/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_text_embedding.py +++ b/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_text_embedding.py @@ -93,6 +93,8 @@ async def generate_raw_embeddings( assert isinstance(settings, GoogleAIEmbeddingPromptExecutionSettings) # nosec genai.configure(api_key=self.service_settings.api_key.get_secret_value()) + if not self.service_settings.embedding_model_id: + raise ServiceInitializationError("The Google AI embedding model ID is required.") response: BatchEmbeddingDict = await genai.embed_content_async( # type: ignore model=self.service_settings.embedding_model_id, content=texts, From a940094bfa025a101cb1669c1b4f47fe989d4a5f Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Wed, 12 Feb 2025 13:32:09 +0100 Subject: [PATCH 18/20] test fixes --- ...t_completion_with_auto_function_calling.py | 2 +- ...penai_function_calling_stepwise_planner.py | 53 ------------------- ...penai_function_calling_stepwise_planner.py | 51 ------------------ .../concepts/planners/sequential_planner.py | 42 --------------- .../cross_language/test_cross_language.py | 2 +- python/tests/samples/test_concepts.py | 31 ----------- python/tests/samples/test_learn_resources.py | 9 ---- 7 files changed, 2 insertions(+), 188 deletions(-) delete mode 100644 python/samples/concepts/planners/azure_openai_function_calling_stepwise_planner.py delete mode 100644 python/samples/concepts/planners/openai_function_calling_stepwise_planner.py delete mode 100644 python/samples/concepts/planners/sequential_planner.py diff --git a/python/samples/concepts/auto_function_calling/chat_completion_with_auto_function_calling.py b/python/samples/concepts/auto_function_calling/chat_completion_with_auto_function_calling.py index cd95acfdb628..dd3359ce0297 100644 --- a/python/samples/concepts/auto_function_calling/chat_completion_with_auto_function_calling.py +++ b/python/samples/concepts/auto_function_calling/chat_completion_with_auto_function_calling.py @@ -67,7 +67,7 @@ # Configure the function choice behavior. Here, we set it to Auto, where auto_invoke=True by default. # With `auto_invoke=True`, the model will automatically choose and call functions as needed. -request_settings.function_choice_behavior = FunctionChoiceBehavior.Auto() +request_settings.function_choice_behavior = FunctionChoiceBehavior.Auto(filters={"excluded_plugins": ["ChatBot"]}) kernel.add_service(chat_completion_service) diff --git a/python/samples/concepts/planners/azure_openai_function_calling_stepwise_planner.py b/python/samples/concepts/planners/azure_openai_function_calling_stepwise_planner.py deleted file mode 100644 index 6627a2a7fb26..000000000000 --- a/python/samples/concepts/planners/azure_openai_function_calling_stepwise_planner.py +++ /dev/null @@ -1,53 +0,0 @@ -# Copyright (c) Microsoft. All rights reserved. - -import asyncio -import os - -from semantic_kernel import Kernel -from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion -from semantic_kernel.core_plugins import MathPlugin, TimePlugin -from semantic_kernel.planners import FunctionCallingStepwisePlanner, FunctionCallingStepwisePlannerOptions - - -async def main(): - kernel = Kernel() - - service_id = "planner" - kernel.add_service( - AzureChatCompletion( - service_id=service_id, - ), - ) - - plugin_path = os.path.join( - os.path.dirname(os.path.dirname(os.path.realpath(__file__))), - "resources", - ) - kernel.add_plugin(parent_directory=plugin_path, plugin_name="email_plugin") - - kernel.add_plugin(MathPlugin(), "MathPlugin") - kernel.add_plugin(TimePlugin(), "TimePlugin") - - questions = [ - "What is the current hour number, plus 5?", - "What is 387 minus 22? Email the solution to John and Mary.", - "Write a limerick, translate it to Spanish, and send it to Jane", - ] - - options = FunctionCallingStepwisePlannerOptions( - max_iterations=10, - max_tokens=4000, - ) - - planner = FunctionCallingStepwisePlanner(service_id=service_id, options=options) - - for question in questions: - result = await planner.invoke(kernel, question) - print(f"Q: {question}\nA: {result.final_answer}\n") - - # Uncomment the following line to view the planner's process for completing the request - # print(f"Chat history: {result.chat_history}\n") - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/python/samples/concepts/planners/openai_function_calling_stepwise_planner.py b/python/samples/concepts/planners/openai_function_calling_stepwise_planner.py deleted file mode 100644 index cce74f39a41d..000000000000 --- a/python/samples/concepts/planners/openai_function_calling_stepwise_planner.py +++ /dev/null @@ -1,51 +0,0 @@ -# Copyright (c) Microsoft. All rights reserved. - -import asyncio -import os - -from semantic_kernel import Kernel -from semantic_kernel.connectors.ai.open_ai import OpenAIChatCompletion -from semantic_kernel.core_plugins import MathPlugin, TimePlugin -from semantic_kernel.planners import FunctionCallingStepwisePlanner, FunctionCallingStepwisePlannerOptions - - -async def main(): - kernel = Kernel() - - service_id = "planner" - kernel.add_service( - OpenAIChatCompletion( - service_id=service_id, - ), - ) - - plugin_path = os.path.join( - os.path.dirname(os.path.dirname(os.path.realpath(__file__))), - "resources", - ) - kernel.add_plugin(parent_directory=plugin_path, plugin_name="email_plugin") - kernel.add_plugins({"MathPlugin": MathPlugin(), "TimePlugin": TimePlugin()}) - - questions = [ - "What is the current hour number, plus 5?", - "What is 387 minus 22? Email the solution to John and Mary.", - "Write a limerick, translate it to Spanish, and send it to Jane", - ] - - options = FunctionCallingStepwisePlannerOptions( - max_iterations=10, - max_tokens=4000, - ) - - planner = FunctionCallingStepwisePlanner(service_id=service_id, options=options) - - for question in questions: - result = await planner.invoke(kernel, question) - print(f"Q: {question}\nA: {result.final_answer}\n") - - # Uncomment the following line to view the planner's process for completing the request - # print(f"\nChat history: {result.chat_history}\n") - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/python/samples/concepts/planners/sequential_planner.py b/python/samples/concepts/planners/sequential_planner.py deleted file mode 100644 index 13aaf83fdab0..000000000000 --- a/python/samples/concepts/planners/sequential_planner.py +++ /dev/null @@ -1,42 +0,0 @@ -# Copyright (c) Microsoft. All rights reserved. - -import asyncio - -from semantic_kernel import Kernel -from semantic_kernel.connectors.ai.open_ai import OpenAIChatCompletion -from semantic_kernel.core_plugins import MathPlugin, TextPlugin, TimePlugin -from semantic_kernel.planners import SequentialPlanner - - -async def main(): - kernel = Kernel() - - service_id = "gpt-3.5" - kernel.add_service(OpenAIChatCompletion(service_id=service_id, ai_model_id="gpt-3.5-turbo")) - kernel.add_plugins({"math": MathPlugin(), "time": TimePlugin(), "text": TextPlugin()}) - - # create an instance of sequential planner. - planner = SequentialPlanner(service_id=service_id, kernel=kernel) - - # the ask for which the sequential planner is going to find a relevant function. - ask = "What day of the week is today, all uppercase?" - - # ask the sequential planner to identify a suitable function from the list of functions available. - plan = await planner.create_plan(goal=ask) - - # ask the sequential planner to execute the identified function. - result = await plan.invoke(kernel=kernel) - - for step in plan._steps: - print(step.description, ":", step._state.__dict__) - - print("Expected Answer:") - print(result) - """ - Output: - SUNDAY - """ - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/python/tests/integration/cross_language/test_cross_language.py b/python/tests/integration/cross_language/test_cross_language.py index 18724c17a6c9..1e00e855eaa8 100644 --- a/python/tests/integration/cross_language/test_cross_language.py +++ b/python/tests/integration/cross_language/test_cross_language.py @@ -733,7 +733,7 @@ async def test_openapi_put_light_by_id(kernel: Kernel): assert request_content.get("method") == "PUT" assert request_content.get("url") == "https://127.0.0.1/Lights/1" - assert request_content.get("body") == '{"hexColor": "11EE11"}' + assert request_content.get("body") == '{"hexColor":"11EE11"}' # endregion diff --git a/python/tests/samples/test_concepts.py b/python/tests/samples/test_concepts.py index eb69b65db622..1d4331112a78 100644 --- a/python/tests/samples/test_concepts.py +++ b/python/tests/samples/test_concepts.py @@ -34,13 +34,6 @@ from samples.concepts.local_models.ollama_chat_completion import main as ollama_chat_completion from samples.concepts.memory.azure_cognitive_search_memory import main as azure_cognitive_search_memory from samples.concepts.memory.memory import main as memory -from samples.concepts.planners.azure_openai_function_calling_stepwise_planner import ( - main as azure_openai_function_calling_stepwise_planner, -) -from samples.concepts.planners.openai_function_calling_stepwise_planner import ( - main as openai_function_calling_stepwise_planner, -) -from samples.concepts.planners.sequential_planner import main as sequential_planner from samples.concepts.plugins.openai_function_calling_with_custom_plugin import ( main as openai_function_calling_with_custom_plugin, ) @@ -161,30 +154,6 @@ os.getenv(COMPLETIONS_CONCEPT_SAMPLE, None) is None, reason="Not running completion samples." ), ), - param( - azure_openai_function_calling_stepwise_planner, - [], - id="azure_openai_function_calling_stepwise_planner", - marks=pytest.mark.skipif( - os.getenv(COMPLETIONS_CONCEPT_SAMPLE, None) is None, reason="Not running completion samples." - ), - ), - param( - openai_function_calling_stepwise_planner, - [], - id="openai_function_calling_stepwise_planner", - marks=pytest.mark.skipif( - os.getenv(COMPLETIONS_CONCEPT_SAMPLE, None) is None, reason="Not running completion samples." - ), - ), - param( - sequential_planner, - [], - id="sequential_planner", - marks=pytest.mark.skipif( - os.getenv(COMPLETIONS_CONCEPT_SAMPLE, None) is None, reason="Not running completion samples." - ), - ), param( openai_function_calling_with_custom_plugin, [], diff --git a/python/tests/samples/test_learn_resources.py b/python/tests/samples/test_learn_resources.py index 0a3cab0dae3c..77e045e8cc6a 100644 --- a/python/tests/samples/test_learn_resources.py +++ b/python/tests/samples/test_learn_resources.py @@ -9,7 +9,6 @@ from samples.learn_resources.configuring_prompts import main as configuring_prompts from samples.learn_resources.creating_functions import main as creating_functions from samples.learn_resources.functions_within_prompts import main as functions_within_prompts -from samples.learn_resources.planner import main as planner from samples.learn_resources.plugin import main as plugin from samples.learn_resources.serializing_prompts import main as serializing_prompts from samples.learn_resources.templates import main as templates @@ -54,14 +53,6 @@ os.getenv(COMPLETIONS_CONCEPT_SAMPLE, None) is None, reason="Not running completion samples." ), ), - param( - planner, - [], - id="planner", - marks=mark.skipif( - os.getenv(COMPLETIONS_CONCEPT_SAMPLE, None) is None, reason="Not running completion samples." - ), - ), param( plugin, [], From 345365b78439db56a09b18cc34434066d85aa9fe Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Wed, 12 Feb 2025 13:36:36 +0100 Subject: [PATCH 19/20] small fix --- python/tests/integration/cross_language/test_cross_language.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/tests/integration/cross_language/test_cross_language.py b/python/tests/integration/cross_language/test_cross_language.py index 1e00e855eaa8..13b6b6a12427 100644 --- a/python/tests/integration/cross_language/test_cross_language.py +++ b/python/tests/integration/cross_language/test_cross_language.py @@ -732,8 +732,8 @@ async def test_openapi_put_light_by_id(kernel: Kernel): assert request_content is not None assert request_content.get("method") == "PUT" - assert request_content.get("url") == "https://127.0.0.1/Lights/1" assert request_content.get("body") == '{"hexColor":"11EE11"}' + assert request_content.get("url") == "https://127.0.0.1/Lights/1" # endregion From e8fc0c86fca9aeba4274b643cb82ad82800b654f Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Wed, 12 Feb 2025 13:43:42 +0100 Subject: [PATCH 20/20] remove links to planners --- python/samples/concepts/README.md | 6 ------ .../tests/integration/cross_language/test_cross_language.py | 2 +- 2 files changed, 1 insertion(+), 7 deletions(-) diff --git a/python/samples/concepts/README.md b/python/samples/concepts/README.md index 1aeeb4b81a62..cfdfc4bc7fa5 100644 --- a/python/samples/concepts/README.md +++ b/python/samples/concepts/README.md @@ -102,12 +102,6 @@ - [Azure Chat GPT with Data API Function Calling](./on_your_data/azure_chat_gpt_with_data_api_function_calling.py) - [Azure Chat GPT with Data API Vector Search](./on_your_data/azure_chat_gpt_with_data_api_vector_search.py) -### Planners - Showing the uses of [`Planners`](https://github.com/microsoft/semantic-kernel/tree/main/python/semantic_kernel/planners) - -- [Sequential Planner](./planners/sequential_planner.py) -- [OpenAI Function Calling Stepwise Planner](./planners/openai_function_calling_stepwise_planner.py) -- [Azure OpenAI Function Calling Stepwise Planner](./planners/azure_openai_function_calling_stepwise_planner.py) - ### Plugins - Different ways of creating and using [`Plugins`](https://github.com/microsoft/semantic-kernel/blob/main/python/semantic_kernel/functions/kernel_plugin.py) - [Azure Key Vault Settings](./plugins/azure_key_vault_settings.py) diff --git a/python/tests/integration/cross_language/test_cross_language.py b/python/tests/integration/cross_language/test_cross_language.py index 13b6b6a12427..1e00e855eaa8 100644 --- a/python/tests/integration/cross_language/test_cross_language.py +++ b/python/tests/integration/cross_language/test_cross_language.py @@ -732,8 +732,8 @@ async def test_openapi_put_light_by_id(kernel: Kernel): assert request_content is not None assert request_content.get("method") == "PUT" - assert request_content.get("body") == '{"hexColor":"11EE11"}' assert request_content.get("url") == "https://127.0.0.1/Lights/1" + assert request_content.get("body") == '{"hexColor":"11EE11"}' # endregion