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(>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +enabler = ["pytest-enabler (>=2.2)"] +test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] +type = ["pytest-mypy"] + [metadata] lock-version = "2.0" -python-versions = "^3.10" -content-hash = "c6d4df2015f02a8105934690d43d2133771c358f2f393a7a8a5a1e0df1c0a55b" +python-versions = ">=3.12" +content-hash = "27ae13192e77b509ac883057a2183123bc8e9281754b19800055ba818ea8c41c" diff --git a/arch/tools/pyproject.toml b/arch/tools/pyproject.toml index 19a301eb..7756c47d 100644 --- a/arch/tools/pyproject.toml +++ b/arch/tools/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "archgw" -version = "0.1.0" +version = "0.1.2" description = "Python-based CLI tool to manage Arch Gateway." authors = ["Katanemo Labs, Inc."] packages = [ @@ -15,14 +15,14 @@ include = [ ] [tool.poetry.dependencies] -python = "^3.10" +python = ">=3.12" pyyaml = "^6.0.2" pydantic = "^2.9.2" click = "^8.1.7" jinja2 = "^3.1.4" jsonschema = "^4.23.0" -setuptools = "75.3.0" -archgw_modelserver = "0.1.1" +setuptools = "75.4.0" +archgw_modelserver = "0.1.2" huggingface_hub = "^0.26.0" [tool.poetry.scripts] diff --git a/model_server/app/tests/test_loaders_cpu.py b/model_server/app/tests/test_loaders_cpu.py index 1dd4f87b..ce9bf5d2 100644 --- a/model_server/app/tests/test_loaders_cpu.py +++ b/model_server/app/tests/test_loaders_cpu.py @@ -33,15 +33,15 @@ def test_get_embedding_model(mock_tokenizer, mock_automodel, mock_ort_model, moc # Assertions assert embedding_model["model_name"] == "katanemo/bge-large-en-v1.5" - assert mock_tokenizer.called_once_with( + mock_tokenizer.assert_called_once_with( "katanemo/bge-large-en-v1.5", trust_remote_code=True ) if glb.DEVICE != "cuda": - assert mock_ort_model.called_once_with( + mock_ort_model.assert_called_once_with( "katanemo/bge-large-en-v1.5", file_name="onnx/model.onnx" ) else: - assert mock_automodel.called_once_with( + mock_automodel.assert_called_once_with( "katanemo/bge-large-en-v1.5", device_map=glb.DEVICE ) @@ -59,9 +59,9 @@ def test_get_zero_shot_model(mock_tokenizer, mock_pipeline, mock_ort_model, mock # Assertions assert zero_shot_model["model_name"] == "katanemo/bart-large-mnli" - assert mock_tokenizer.called_once_with("katanemo/bart-large-mnli") + mock_tokenizer.assert_called_once_with("katanemo/bart-large-mnli") if glb.DEVICE != "cuda": - assert mock_ort_model.called_once_with( + mock_ort_model.assert_called_once_with( "katanemo/bart-large-mnli", file_name="onnx/model.onnx" ) else: @@ -72,7 +72,7 @@ def test_get_zero_shot_model(mock_tokenizer, mock_pipeline, mock_ort_model, mock @patch("app.loader.AutoTokenizer.from_pretrained") @patch("app.loader.OVModelForSequenceClassification.from_pretrained") @patch("app.loader.AutoModelForSequenceClassification.from_pretrained") -def test_get_prompt_guard(mock_ov_model, mock_auto_model, mock_tokenizer): +def test_get_prompt_guard(mock_auto_model, mock_ov_model, mock_tokenizer): # Mock model based on device if glb.DEVICE == "cpu": mock_ov_model.return_value = MagicMock() @@ -85,17 +85,17 @@ def test_get_prompt_guard(mock_ov_model, mock_auto_model, mock_tokenizer): # Assertions assert prompt_guard["model_name"] == arch_guard_model_type[glb.DEVICE] - assert mock_tokenizer.called_once_with( + mock_tokenizer.assert_called_once_with( arch_guard_model_type[glb.DEVICE], trust_remote_code=True ) if glb.DEVICE == "cpu": - assert mock_ov_model.called_once_with( + mock_ov_model.assert_called_once_with( arch_guard_model_type[glb.DEVICE], device_map=glb.DEVICE, low_cpu_mem_usage=True, ) else: - assert mock_auto_model.called_once_with( + mock_auto_model.assert_called_once_with( arch_guard_model_type[glb.DEVICE], device_map=glb.DEVICE, low_cpu_mem_usage=True, diff --git a/model_server/app/tests/test_loaders_gpu.py b/model_server/app/tests/test_loaders_gpu.py index 46f73b49..4d5875e9 100644 --- a/model_server/app/tests/test_loaders_gpu.py +++ b/model_server/app/tests/test_loaders_gpu.py @@ -33,15 +33,15 @@ def test_get_embedding_model(mock_tokenizer, mock_automodel, mock_ort_model, moc # Assertions assert embedding_model["model_name"] == "katanemo/bge-large-en-v1.5" - assert mock_tokenizer.called_once_with( + mock_tokenizer.assert_called_once_with( "katanemo/bge-large-en-v1.5", trust_remote_code=True ) if glb.DEVICE != "cuda": - assert mock_ort_model.called_once_with( + mock_ort_model.assert_called_once_with( "katanemo/bge-large-en-v1.5", file_name="onnx/model.onnx" ) else: - assert mock_automodel.called_once_with( + mock_automodel.assert_called_once_with( "katanemo/bge-large-en-v1.5", device_map=glb.DEVICE ) @@ -59,9 +59,9 @@ def test_get_zero_shot_model(mock_tokenizer, mock_pipeline, mock_ort_model, mock # Assertions assert zero_shot_model["model_name"] == "katanemo/bart-large-mnli" - assert mock_tokenizer.called_once_with("katanemo/bart-large-mnli") + mock_tokenizer.assert_called_once_with("katanemo/bart-large-mnli") if glb.DEVICE != "cuda": - assert mock_ort_model.called_once_with( + mock_ort_model.assert_called_once_with( "katanemo/bart-large-mnli", file_name="onnx/model.onnx" ) else: @@ -72,7 +72,7 @@ def test_get_zero_shot_model(mock_tokenizer, mock_pipeline, mock_ort_model, mock @patch("app.loader.AutoTokenizer.from_pretrained") @patch("app.loader.OVModelForSequenceClassification.from_pretrained") @patch("app.loader.AutoModelForSequenceClassification.from_pretrained") -def test_get_prompt_guard(mock_ov_model, mock_auto_model, mock_tokenizer): +def test_get_prompt_guard(mock_auto_model, mock_ov_model, mock_tokenizer): # Mock model based on device if glb.DEVICE == "cpu": mock_ov_model.return_value = MagicMock() @@ -85,17 +85,17 @@ def test_get_prompt_guard(mock_ov_model, mock_auto_model, mock_tokenizer): # Assertions assert prompt_guard["model_name"] == arch_guard_model_type[glb.DEVICE] - assert mock_tokenizer.called_once_with( + mock_tokenizer.assert_called_once_with( arch_guard_model_type[glb.DEVICE], trust_remote_code=True ) if glb.DEVICE == "cpu": - assert mock_ov_model.called_once_with( + mock_ov_model.assert_called_once_with( arch_guard_model_type[glb.DEVICE], device_map=glb.DEVICE, low_cpu_mem_usage=True, ) else: - assert mock_auto_model.called_once_with( + mock_auto_model.assert_called_once_with( arch_guard_model_type[glb.DEVICE], device_map=glb.DEVICE, low_cpu_mem_usage=True, diff --git a/model_server/app/tests/test_loaders_mps.py b/model_server/app/tests/test_loaders_mps.py index 3bc76eb5..41289c7d 100644 --- a/model_server/app/tests/test_loaders_mps.py +++ b/model_server/app/tests/test_loaders_mps.py @@ -33,15 +33,15 @@ def test_get_embedding_model(mock_tokenizer, mock_automodel, mock_ort_model, moc # Assertions assert embedding_model["model_name"] == "katanemo/bge-large-en-v1.5" - assert mock_tokenizer.called_once_with( + mock_tokenizer.assert_called_once_with( "katanemo/bge-large-en-v1.5", trust_remote_code=True ) if glb.DEVICE != "cuda": - assert mock_ort_model.called_once_with( + mock_ort_model.assert_called_once_with( "katanemo/bge-large-en-v1.5", file_name="onnx/model.onnx" ) else: - assert mock_automodel.called_once_with( + mock_automodel.assert_called_once_with( "katanemo/bge-large-en-v1.5", device_map=glb.DEVICE ) @@ -59,9 +59,9 @@ def test_get_zero_shot_model(mock_tokenizer, mock_pipeline, mock_ort_model, mock # Assertions assert zero_shot_model["model_name"] == "katanemo/bart-large-mnli" - assert mock_tokenizer.called_once_with("katanemo/bart-large-mnli") + mock_tokenizer.assert_called_once_with("katanemo/bart-large-mnli") if glb.DEVICE != "cuda": - assert mock_ort_model.called_once_with( + mock_ort_model.assert_called_once_with( "katanemo/bart-large-mnli", file_name="onnx/model.onnx" ) else: @@ -72,7 +72,7 @@ def test_get_zero_shot_model(mock_tokenizer, mock_pipeline, mock_ort_model, mock @patch("app.loader.AutoTokenizer.from_pretrained") @patch("app.loader.OVModelForSequenceClassification.from_pretrained") @patch("app.loader.AutoModelForSequenceClassification.from_pretrained") -def test_get_prompt_guard(mock_ov_model, mock_auto_model, mock_tokenizer): +def test_get_prompt_guard(mock_auto_model, mock_ov_model, mock_tokenizer): # Mock model based on device if glb.DEVICE == "cpu": mock_ov_model.return_value = MagicMock() @@ -85,17 +85,17 @@ def test_get_prompt_guard(mock_ov_model, mock_auto_model, mock_tokenizer): # Assertions assert prompt_guard["model_name"] == arch_guard_model_type[glb.DEVICE] - assert mock_tokenizer.called_once_with( + mock_tokenizer.assert_called_once_with( arch_guard_model_type[glb.DEVICE], trust_remote_code=True ) if glb.DEVICE == "cpu": - assert mock_ov_model.called_once_with( + mock_ov_model.assert_called_once_with( arch_guard_model_type[glb.DEVICE], device_map=glb.DEVICE, low_cpu_mem_usage=True, ) else: - assert mock_auto_model.called_once_with( + mock_auto_model.assert_called_once_with( 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