From 2e37cd178e1ccef757c5b63cdfe8e69bd1c08855 Mon Sep 17 00:00:00 2001 From: "Tybulewicz, Tomasz" Date: Mon, 3 Nov 2025 10:26:01 +0100 Subject: [PATCH 1/2] Remove OvmsAdapter --- .github/workflows/pre_commit.yml | 2 +- .github/workflows/test_precommit.yml | 30 +- .gitignore | 1 - README.md | 3 +- docs/source/adapters/index.md | 5 - docs/source/adapters/ovms_adapter.md | 8 - examples/serving_api/README.md | 40 - examples/serving_api/run.py | 34 - pyproject.toml | 3 - src/README.md | 14 +- src/model_api/adapters/__init__.py | 2 - src/model_api/adapters/ovms_adapter.md | 59 -- src/model_api/adapters/ovms_adapter.py | 234 ----- src/model_api/models/classification.py | 2 +- src/model_api/models/model.py | 7 +- src/model_api/tilers/tiler.py | 3 +- tests/unit/adapters/test_ovms_adapter.py | 76 -- uv.lock | 1088 +--------------------- 18 files changed, 32 insertions(+), 1579 deletions(-) delete mode 100644 docs/source/adapters/ovms_adapter.md delete mode 100644 examples/serving_api/README.md delete mode 100755 examples/serving_api/run.py delete mode 100644 src/model_api/adapters/ovms_adapter.md delete mode 100644 src/model_api/adapters/ovms_adapter.py delete mode 100644 tests/unit/adapters/test_ovms_adapter.py diff --git a/.github/workflows/pre_commit.yml b/.github/workflows/pre_commit.yml index a2154ea8..ac495098 100644 --- a/.github/workflows/pre_commit.yml +++ b/.github/workflows/pre_commit.yml @@ -52,7 +52,7 @@ jobs: uses: astral-sh/setup-uv@d0cc045d04ccac9d8b7881df0226f9e82c39688e # v6.8.0 - name: Install dependencies run: | - uv sync --locked --extra tests --extra ovms + uv sync --locked --extra tests - name: Run python unit tests run: | uv run pytest tests/unit --cov diff --git a/.github/workflows/test_precommit.yml b/.github/workflows/test_precommit.yml index 5fd492aa..0d7a1d43 100644 --- a/.github/workflows/test_precommit.yml +++ b/.github/workflows/test_precommit.yml @@ -24,41 +24,13 @@ jobs: uses: astral-sh/setup-uv@d0cc045d04ccac9d8b7881df0226f9e82c39688e # v6.8.0 - name: Install dependencies run: | - uv sync --locked --extra tests --extra ovms --extra-index-url https://download.pytorch.org/whl/cpu + uv sync --locked --extra tests --extra-index-url https://download.pytorch.org/whl/cpu - name: Prepare test data run: | uv run python tests/precommit/prepare_data.py -d data -p tests/precommit/public_scope.json - name: Run test run: | uv run pytest --data=./data tests/functional - serving_api: - strategy: - fail-fast: false - matrix: - os: [ubuntu-22.04, ubuntu-24.04] - python-version: ["3.10", "3.11", "3.13"] - runs-on: ${{ matrix.os }} - steps: - - name: Set up docker for macOS - if: startsWith(matrix.os, 'macos-1') - run: | - brew install colima docker - colima start - - uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0 - with: - persist-credentials: false - - uses: actions/setup-python@e797f83bcb11b83ae66e0230d6156d7c80228e7c # v6.0.0 - with: - python-version: ${{ matrix.python-version }} - - name: Install uv - uses: astral-sh/setup-uv@d0cc045d04ccac9d8b7881df0226f9e82c39688e # v6.8.0 - - name: serving_api - run: | - uv sync --locked --extra tests --extra ovms - uv run python tests/precommit/prepare_data.py -d data -p tests/precommit/public_scope.json - uv run python -c "from model_api.models import DetectionModel; DetectionModel.create_model('./data/otx_models/detection_model_with_xai_head.xml').save('ovms_models/ssd_mobilenet_v1_fpn_coco/1/ssd_mobilenet_v1_fpn_coco.xml')" - docker run -d --rm -v $GITHUB_WORKSPACE/ovms_models/:/models -p 8000:8000 openvino/model_server:latest --model_path /models/ssd_mobilenet_v1_fpn_coco/ --model_name ssd_mobilenet_v1_fpn_coco --rest_port 8000 --log_level DEBUG --target_device CPU - uv run python examples/serving_api/run.py data/coco128/images/train2017/000000000009.jpg # detects 4 objects Zizmor-Scan-PR: runs-on: ubuntu-latest permissions: diff --git a/.gitignore b/.gitignore index e1ad8f80..1fd820ce 100644 --- a/.gitignore +++ b/.gitignore @@ -145,4 +145,3 @@ docs/source/_build/ .vscode/ data/ -ovms_models/ diff --git a/README.md b/README.md index f64f30f1..b51953f4 100644 --- a/README.md +++ b/README.md @@ -48,7 +48,6 @@ Training Extensions embed all the metadata required for inference into model fil from model_api.models import Model # Create a model wrapper from a compatible model generated by OpenVINO Training Extensions -# Use URL to work with OVMS-served model, e.g. "localhost:9000/models/ssdlite_mobilenet_v2" model = Model.create_model("model.xml") # Run synchronous inference locally @@ -60,7 +59,7 @@ print(f"Inference result: {result}") ## Prepare a model for `InferenceAdapter` -There are usecases when it is not possible to modify an internal `ov::Model` and it is hidden behind `InferenceAdapter`. For example the model can be served using [OVMS](https://github.com/openvinotoolkit/model_server). `create_model()` can construct a model from a given `InferenceAdapter`. That approach assumes that the model in `InferenceAdapter` was already configured by `create_model()` called with a string (a path or a model name). It is possible to prepare such model: +There are usecases when it is not possible to modify an internal `ov::Model` and it is hidden behind `InferenceAdapter`. `create_model()` can construct a model from a given `InferenceAdapter`. That approach assumes that the model in `InferenceAdapter` was already configured by `create_model()` called with a string (a path or a model name). It is possible to prepare such model: ```python model = DetectionModel.create_model("~/.cache/omz/public/ssdlite_mobilenet_v2/FP16/ssdlite_mobilenet_v2.xml") diff --git a/docs/source/adapters/index.md b/docs/source/adapters/index.md index fbdb9ecb..a3ff562c 100644 --- a/docs/source/adapters/index.md +++ b/docs/source/adapters/index.md @@ -11,10 +11,6 @@ [todo] ::: -:::{grid-item-card} Ovms Adapter -:link: ./ovms_adapter -:link-type: doc - [todo] ::: :::{grid-item-card} Onnx Adapter @@ -45,6 +41,5 @@ ./inference_adapter ./onnx_adapter ./openvino_adapter -./ovms_adapter ./utils ``` diff --git a/docs/source/adapters/ovms_adapter.md b/docs/source/adapters/ovms_adapter.md deleted file mode 100644 index 4a2b6280..00000000 --- a/docs/source/adapters/ovms_adapter.md +++ /dev/null @@ -1,8 +0,0 @@ -# Ovms Adapter - -```{eval-rst} -.. automodule:: model_api.adapters.ovms_adapter - :members: - :undoc-members: - :show-inheritance: -``` diff --git a/examples/serving_api/README.md b/examples/serving_api/README.md deleted file mode 100644 index b90d5d61..00000000 --- a/examples/serving_api/README.md +++ /dev/null @@ -1,40 +0,0 @@ -# Serving API example - -This example demonstrates how to use a Python API of OpenVINO Model API for a remote inference of models hosted with [OpenVINO Model Server](https://docs.openvino.ai/latest/ovms_what_is_openvino_model_server.html). This tutorial assumes that you are familiar with Docker subsystem and includes the following steps: - -- Run Docker image with -- Instantiate a model -- Run inference -- Process results - -## Prerequisites - -- Install Model API from source. Please refer to the main [README](../../../README.md) for details. -- Install Docker. Please refer to the [official documentation](https://docs.docker.com/get-docker/) for details. -- Install OVMS client into the Python environment: - - ```bash - pip install ovmsclient - ``` - -- Download a model by running a Python code with Model API, see Python [exaple](../../synchronous_api/README.md) and resave a configured model at OVMS friendly folder layout: - - ```python - from model_api.models import DetectionModel - - DetectionModel.create_model("ssd_mobilenet_v1_fpn_coco").save("/home/user/models/ssd_mobilenet_v1_fpn_coco/1/ssd_mobilenet_v1_fpn_coco.xml") - ``` - -- Run docker with OVMS server: - - ```bash - docker run -d -v /home/user/models:/models -p 8000:8000 openvino/model_server:latest --model_path /models/ssd_mobilenet_v1_fpn_coco --model_name ssd_mobilenet_v1_fpn_coco --rest_port 8000 --nireq 4 --target_device CPU - ``` - -## Run example - -To run the example, please execute the following command: - -```bash -python run.py -``` diff --git a/examples/serving_api/run.py b/examples/serving_api/run.py deleted file mode 100755 index ce138981..00000000 --- a/examples/serving_api/run.py +++ /dev/null @@ -1,34 +0,0 @@ -#!/usr/bin/env python3 -# -# Copyright (C) 2020-2024 Intel Corporation -# SPDX-License-Identifier: Apache-2.0 -# - -import sys - -import cv2 - -from model_api.models import DetectionModel - - -def main(): - if len(sys.argv) != 2: - usage_message = f"Usage: {sys.argv[0]} " - raise RuntimeError(usage_message) - - image = cv2.cvtColor(cv2.imread(sys.argv[1]), cv2.COLOR_BGR2RGB) - if image is None: - error_message = f"Failed to read the image: {sys.argv[1]}" - raise RuntimeError(error_message) - - # Create Object Detection model specifying the OVMS server URL - model = DetectionModel.create_model( - "localhost:8000/v2/models/ssd_mobilenet_v1_fpn_coco", - model_type="ssd", - ) - detections = model(image) - print(f"Detection results: {detections}") - - -if __name__ == "__main__": - main() diff --git a/pyproject.toml b/pyproject.toml index 7c5258ce..8796f7dc 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -31,9 +31,6 @@ dependencies = [ ] [project.optional-dependencies] -ovms = [ - "tritonclient[http]<2.59", -] tests = [ "pre-commit", "httpx", diff --git a/src/README.md b/src/README.md index 2809e6d8..96ea9843 100644 --- a/src/README.md +++ b/src/README.md @@ -79,25 +79,13 @@ The following tasks can be solved with wrappers usage: Model API wrappers are executor-agnostic, meaning it does not implement the specific model inference or model loading, instead it can be used with different executors having the implementation of common interface methods in adapter class respectively. -Currently, `OpenvinoAdapter` and `OVMSAdapter` are supported. +Currently, `OpenvinoAdapter` and `ONNXRuntimeAdapter` are supported. ### OpenVINO Adapter `OpenvinoAdapter` hides the OpenVINO™ toolkit API, which allows Model API wrappers launching with models represented in Intermediate Representation (IR) format. It accepts a path to either `xml` model file or `onnx` model file. -### OpenVINO Model Server Adapter - -`OVMSAdapter` hides the OpenVINO Model Server python client API, which allows Model API wrappers launching with models served by OVMS. - -Refer to **[`OVMSAdapter`](adapters/ovms_adapter.md)** to learn about running demos with OVMS. - -For using OpenVINO Model Server Adapter you need to install the package with extra module: - -```sh -pip install /demos/common/python[ovms] -``` - ### ONNXRuntime Adapter `ONNXRuntimeAdapter` hides the ONNXRuntime, which Model API wrappers launching with models represented in ONNX format. diff --git a/src/model_api/adapters/__init__.py b/src/model_api/adapters/__init__.py index 5d108556..86798e09 100644 --- a/src/model_api/adapters/__init__.py +++ b/src/model_api/adapters/__init__.py @@ -5,7 +5,6 @@ from .onnx_adapter import ONNXRuntimeAdapter from .openvino_adapter import OpenvinoAdapter, create_core, get_user_config -from .ovms_adapter import OVMSAdapter from .utils import INTERPOLATION_TYPES, RESIZE_TYPES, InputTransform, Layout __all__ = [ @@ -13,7 +12,6 @@ "get_user_config", "Layout", "OpenvinoAdapter", - "OVMSAdapter", "ONNXRuntimeAdapter", "RESIZE_TYPES", "InputTransform", diff --git a/src/model_api/adapters/ovms_adapter.md b/src/model_api/adapters/ovms_adapter.md deleted file mode 100644 index f71c4323..00000000 --- a/src/model_api/adapters/ovms_adapter.md +++ /dev/null @@ -1,59 +0,0 @@ -# OpenVINO Model Server Adapter - -The `OVMSAdapter` implements `InferenceAdapter` interface. The `OVMSAdapter` makes it possible to use Model API with models hosted in OpenVINO Model Server. - -## Prerequisites - -`OVMSAdapter` enables inference via gRPC calls to OpenVINO Model Server, so in order to use it you need two things: - -- OpenVINO Model Server that serves your model -- [`tritonclient[http]`](https://pypi.org/project/tritonclient/) package installed to enable communication with the model server: `python3 -m pip install tritonclient[http]` - -### Deploy OpenVINO Model Server - -Model Server is distributed as a docker image and it's available in DockerHub, so you can use it with `docker run` command. See [model server documentation](https://github.com/openvinotoolkit/model_server/blob/main/docs/starting_server.md) to learn how to deploy OpenVINO optimized models with OpenVINO Model Server. - -## Model configuration - -When using OpenVINO Model Server model cannot be directly accessed from the client application. Therefore any configuration must be done on model server side or before starting the server: see [Prepare a model for `InferenceAdapter`](../../../../../README.md#prepare-a-model-for-inferenceadapter). - -### Input reshaping - -For some use cases you may want your model to reshape to match input of certain size. In that case, you should provide `--shape auto` parameter to model server startup command. With that option, model server will reshape model input on demand to match the input data. - -### Inference options - -It's possible to configure inference related options for the model in OpenVINO Model Server with options: - -- `--target_device` - name of the device to load the model to -- `--nireq` - number of InferRequests -- `--plugin_config` - configuration of the device plugin - -See [model server configuration parameters](https://github.com/openvinotoolkit/model_server/blob/main/docs/starting_server.md#serving-a-single-model) for more details. - -### Example OVMS startup command - -```bash -docker run -d --rm -v /home/user/models:/models -p 9000:9000 openvino/model_server:latest --model_path /models/model1 --model_name model1 --port 9000 --shape auto --nireq 32 --target_device CPU --plugin_config "{\"CPU_THROUGHPUT_STREAMS\": \"CPU_THROUGHPUT_AUTO\"}" -``` - -> **Note**: In demos, while using `--adapter ovms`, inference options like: `-nireq`, `-nstreams` `-nthreads` as well as device specification with `-d` will be ignored. - -## Running demos with OVMSAdapter - -To run the demo with model served in OpenVINO Model Server, you would have to provide `--adapter ovms` option and modify `-m` parameter to indicate model inference service instead of the model files. Model parameter for `OVMSAdapter` follows this schema: - -`/models/[:]` - -- `` - OVMS gRPC service address in form `
:` -- `` - name of the target model (the one specified by `model_name` parameter in the model server startup command) -- `` _(optional)_ - version of the target model (default: latest) - -Assuming that model server runs on the same machine as the demo, exposes gRPC service on port 9000 and serves model called `model1`, the value of `-m` parameter would be: - -- `localhost:9000/v2/models/model1` - requesting latest model version -- `localhost:9000/v2/models/model1:2` - requesting model version number 2 - -## See Also - -- [OpenVINO Model Server](https://github.com/openvinotoolkit/model_server) diff --git a/src/model_api/adapters/ovms_adapter.py b/src/model_api/adapters/ovms_adapter.py deleted file mode 100644 index 52b99363..00000000 --- a/src/model_api/adapters/ovms_adapter.py +++ /dev/null @@ -1,234 +0,0 @@ -# -# Copyright (C) 2020-2025 Intel Corporation -# SPDX-License-Identifier: Apache-2.0 -# - -from __future__ import annotations - -import re -from typing import Any, Callable, Final - -import numpy as np - -from .inference_adapter import InferenceAdapter, Metadata -from .utils import Layout, get_rt_info_from_dict - - -class OVMSAdapter(InferenceAdapter): - """Inference adapter that allows working with models served by the OpenVINO Model Server""" - - # OVMS model URL regex pattern - # Expected format:
:/v2/models/[/versions/] - _OVMS_MODEL_URL_PATTERN: Final = re.compile( - r"(.+)\/v2\/models\/([^\/]+)(?:(?:\/versions\/)(\d+))?(?:\/)?", - ) - - # Triton to NumPy precision mapping - _triton2np_precision: Final = { - "INT64": np.int64, - "UINT64": np.uint64, - "FLOAT": np.float32, - "UINT32": np.uint32, - "INT32": np.int32, - "HALF": np.float16, - "INT16": np.int16, - "INT8": np.int8, - "UINT8": np.uint8, - "FP32": np.float32, - } - - def __init__(self, target_model: str): - """ - Initializes OVMS adapter. - - Args: - target_model (str): Model URL. Expected format:
:/v2/models/[:] - """ - import tritonclient.http as httpclient - - service_url, self.model_name, self.model_version = self.parse_model_arg( - target_model, - ) - self.client = httpclient.InferenceServerClient(service_url) - if not self.client.is_model_ready(self.model_name, self.model_version): - msg = f"Requested model: {self.model_name}, version: {self.model_version} is not accessible" - raise RuntimeError(msg) - - self.metadata = self.client.get_model_metadata( - model_name=self.model_name, - model_version=self.model_version, - ) - self.inputs = self.get_input_layers() - - def get_input_layers(self) -> dict[str, Metadata]: - """ - Retrieves information about remote model's inputs. - - Returns: - dict[str, Metadata]: metadata for each input. - """ - return { - meta["name"]: Metadata( - {meta["name"]}, - meta["shape"], - Layout.from_shape(meta["shape"]), - meta["datatype"], - ) - for meta in self.metadata["inputs"] - } - - def get_output_layers(self) -> dict[str, Metadata]: - """ - Retrieves information about remote model's outputs. - - Returns: - dict[str, Metadata]: metadata for each output. - """ - return { - meta["name"]: Metadata( - {meta["name"]}, - shape=meta["shape"], - precision=meta["datatype"], - ) - for meta in self.metadata["outputs"] - } - - def infer_sync(self, dict_data: dict) -> dict: - """ - Performs the synchronous model inference. The infer is a blocking method. - - Args: - dict_data (dict): data for each input layer. - - Returns: - dict: model raw outputs. - """ - inputs = self._prepare_inputs(dict_data) - raw_result = self.client.infer( - model_name=self.model_name, - model_version=self.model_version, - inputs=inputs, - ) - - inference_results = {} - for output in self.metadata["outputs"]: - inference_results[output["name"]] = raw_result.as_numpy(output["name"]) - - return inference_results - - def infer_async(self, dict_data: dict, callback_data: Any): - """A stub method imitating async inference with a blocking call.""" - inputs = self._prepare_inputs(dict_data) - raw_result = self.client.infer( - model_name=self.model_name, - model_version=self.model_version, - inputs=inputs, - ) - inference_results = {} - for output in self.metadata["outputs"]: - inference_results[output["name"]] = raw_result.as_numpy(output["name"]) - - self.callback_fn(inference_results, (lambda x: x, callback_data)) - - def set_callback(self, callback_fn: Callable): - self.callback_fn = callback_fn - - def is_ready(self): - return True - - def load_model(self): - pass - - def get_model(self): - """Return the reference to the GrpcClient.""" - return self.client - - def await_all(self): - pass - - def await_any(self): - pass - - def get_raw_result(self, infer_result: dict): - pass - - def embed_preprocessing( - self, - layout, - resize_mode: str, - interpolation_mode, - target_shape, - pad_value, - dtype=type(int), - brg2rgb=False, - mean=None, - scale=None, - input_idx=0, - ): - pass - - def reshape_model(self, new_shape: dict): - """OVMS adapter can not modify the remote model. This method raises an exception.""" - msg = "OVMSAdapter does not support model reshaping" - raise NotImplementedError(msg) - - def get_rt_info(self, path: list[str]) -> Any: - """Returns an attribute stored in model info.""" - return get_rt_info_from_dict(self.metadata["rt_info"], path) - - def update_model_info(self, model_info: dict[str, Any]): - """OVMS adapter can not update the source model info. This method raises an exception.""" - msg = "OVMSAdapter does not support updating model info" - raise NotImplementedError(msg) - - def save_model(self, path: str, weights_path: str | None = None, version: str | None = None): - """OVMS adapter can not retrieve the source model. This method raises an exception.""" - msg = "OVMSAdapter does not support saving a model" - raise NotImplementedError(msg) - - @staticmethod - def is_ovms_model(target_model: str) -> bool: - """Checks if the given string is a valid OVMS model URL.""" - if not isinstance(target_model, str): - return False - - return OVMSAdapter._OVMS_MODEL_URL_PATTERN.fullmatch(target_model) is not None - - @staticmethod - def parse_model_arg(target_model: str): - """Parses OVMS model URL.""" - if not isinstance(target_model, str): - msg = "target_model must be str" - raise TypeError(msg) - - match = OVMSAdapter._OVMS_MODEL_URL_PATTERN.fullmatch(target_model) - if not match: - msg = "invalid --model option format" - raise ValueError(msg) - - return match.group(1), match.group(2), match.group(3) or "" - - def _prepare_inputs(self, dict_data: dict) -> list: - """Converts raw model inputs into OVMS-specific representation.""" - import tritonclient.http as httpclient - - inputs = [] - for input_name, input_data in dict_data.items(): - if input_name not in self.inputs: - msg = "Input data does not match model inputs" - raise ValueError(msg) - input_info = self.inputs[input_name] - model_precision = self._triton2np_precision[input_info.precision] - if isinstance(input_data, np.ndarray) and input_data.dtype != model_precision: - input_data = input_data.astype(model_precision) - elif isinstance(input_data, list): - input_data = np.array(input_data, dtype=model_precision) - - infer_input = httpclient.InferInput( - input_name, - input_data.shape, - input_info.precision, - ) - infer_input.set_data_from_numpy(input_data) - inputs.append(infer_input) - return inputs diff --git a/src/model_api/models/classification.py b/src/model_api/models/classification.py index 8d917934..c0b1884a 100644 --- a/src/model_api/models/classification.py +++ b/src/model_api/models/classification.py @@ -109,7 +109,7 @@ def __init__(self, inference_adapter: InferenceAdapter, configuration: dict = {} if self.output_raw_scores: self.out_layer_names.append(self.raw_scores_name) except (RuntimeError, AttributeError): - # exception means we have a non-ov model, or a model behind OVMS + # exception means we have a non-ov model # with already inserted softmax and topk if self.embedded_processing and len(self.outputs) >= 2: self.embedded_topk = True diff --git a/src/model_api/models/model.py b/src/model_api/models/model.py index 2007720a..f771b091 100644 --- a/src/model_api/models/model.py +++ b/src/model_api/models/model.py @@ -16,7 +16,6 @@ create_core, get_user_config, ) -from model_api.adapters.ovms_adapter import OVMSAdapter from model_api.metrics import PerformanceMetrics if TYPE_CHECKING: @@ -86,7 +85,7 @@ def __init__(self, inference_adapter: InferenceAdapter, configuration: dict = {} "Segmentation", }: self.raise_error( - "this type of wrapper only supports OpenVINO and OVMS inference adapters", + "this type of wrapper only supports OpenVINO inference adapters", ) self.inputs = self.inference_adapter.get_input_layers() @@ -159,7 +158,7 @@ def create_model( """Create an instance of the Model API model Args: - model (str| InferenceAdapter): model name from OpenVINO Model Zoo, path to model, OVMS URL, or an adapter + model (str| InferenceAdapter): model name from OpenVINO Model Zoo, path to model, or an adapter configuration (:obj:`dict`, optional): dictionary of model config with model properties, for example confidence_threshold, labels model_type (:obj:`str`, optional): name of model wrapper to create (e.g. "ssd") @@ -183,8 +182,6 @@ def create_model( inference_adapter: InferenceAdapter if isinstance(model, InferenceAdapter): inference_adapter = model - elif isinstance(model, str) and OVMSAdapter.is_ovms_model(model): - inference_adapter = OVMSAdapter(model) else: if core is None: core = create_core() diff --git a/src/model_api/tilers/tiler.py b/src/model_api/tilers/tiler.py index 1a027a05..d9a9468b 100644 --- a/src/model_api/tilers/tiler.py +++ b/src/model_api/tilers/tiler.py @@ -119,8 +119,7 @@ def _load_config(self, config): self.__setattr__(name, value) except RuntimeError as error: missing_rt_info = "Cannot get runtime attribute. Path to runtime attribute is incorrect." in str(error) - is_OVMSAdapter = str(error) == "OVMSAdapter does not support RT info getting" - if not missing_rt_info and not is_OVMSAdapter: + if not missing_rt_info: raise for name, value in config.items(): diff --git a/tests/unit/adapters/test_ovms_adapter.py b/tests/unit/adapters/test_ovms_adapter.py deleted file mode 100644 index fe308fc8..00000000 --- a/tests/unit/adapters/test_ovms_adapter.py +++ /dev/null @@ -1,76 +0,0 @@ -# -# Copyright (C) 2025 Intel Corporation -# SPDX-License-Identifier: Apache-2.0 -# - -import pytest - -from model_api.adapters.ovms_adapter import OVMSAdapter - - -class TestParseModelArg: - """Test cases for the parse_model_arg function.""" - - def test_valid_url_with_version(self): - """Test parsing a valid URL with version specified.""" - target_model = "http://localhost:9000/v2/models/my_model/versions/123" - service_url, model_name, version = OVMSAdapter.parse_model_arg(target_model) - - assert service_url == "http://localhost:9000" - assert model_name == "my_model" - assert version == "123" - - def test_valid_url_without_version(self): - """Test parsing a valid URL without version specified.""" - target_model = "http://localhost:9000/v2/models/345$%^!@#$model" - service_url, model_name, version = OVMSAdapter.parse_model_arg(target_model) - - assert service_url == "http://localhost:9000" - assert model_name == "345$%^!@#$model" - assert version == "" - - def test_valid_url_with_trailing_slash(self): - """Test parsing a valid URL with trailing slash.""" - target_model = "http://localhost:9000/v2/models/my_model/" - service_url, model_name, version = OVMSAdapter.parse_model_arg(target_model) - - assert service_url == "http://localhost:9000" - assert model_name == "my_model" - assert version == "" - - def test_valid_url_with_version_and_trailing_slash(self): - """Test parsing a valid URL with version and trailing slash.""" - target_model = "http://localhost:9000/v2/models/my_model/versions/456/" - service_url, model_name, version = OVMSAdapter.parse_model_arg(target_model) - - assert service_url == "http://localhost:9000" - assert model_name == "my_model" - assert version == "456" - - def test_valid_url_https(self): - """Test parsing a valid HTTPS URL.""" - target_model = "https://example.com:8080/v2/models/test_model/versions/1" - service_url, model_name, version = OVMSAdapter.parse_model_arg(target_model) - - assert service_url == "https://example.com:8080" - assert model_name == "test_model" - assert version == "1" - - @pytest.mark.parametrize( - ("target_model", "description"), - [ - ("http://localhost:9000/models/my_model", "missing v2/models path"), - ("http://localhost:9000/v2/models/my_model/version/123", "wrong versions format"), - ("http://localhost:9000/v2/models//versions/123", "empty model name"), - ("http://localhost:9000/v2/models/", "no model name"), - ("http://localhost:9000/v2", "incomplete URL"), - 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## Introduction -Model API is a set of wrapper classes for particular tasks and model architectures, simplifying data preprocess and postprocess as well as routine procedures (model loading, asynchronous execution, etc.). It is aimed at simplifying end-to-end model inference for different deployment scenarios, including local execution and serving. The Model API is based on the OpenVINO inference API. +Model API is a set of wrapper classes for particular tasks and model architectures, simplifying data preprocess and postprocess as well as routine procedures (model loading, asynchronous execution, etc.). It is aimed at simplifying end-to-end model inference. The Model API is based on the OpenVINO inference API. ## How it works @@ -35,7 +35,6 @@ Training Extensions embed all the metadata required for inference into model fil - Python API - Synchronous and asynchronous inference -- Local inference and serving through the rest API - Model preprocessing embedding for faster inference ## Installation