git: 11a00d44b7f9 - main - misc/py-sagemaker-serve: New port: SageMaker: Library for training & deploying models on Amazon SageMaker

The branch main has been updated by yuri:

URL: https://cgit.FreeBSD.org/ports/commit/?id=11a00d44b7f9ea176687912f2f9c56de3730603f

commit 11a00d44b7f9ea176687912f2f9c56de3730603f
Author:     Yuri Victorovich <yuri@FreeBSD.org>
AuthorDate: 2025-12-03 11:00:07 +0000
Commit:     Yuri Victorovich <yuri@FreeBSD.org>
CommitDate: 2025-12-03 11:00:07 +0000

    misc/py-sagemaker-serve: New port: SageMaker: Library for training & deploying models on Amazon SageMaker
---
 misc/Makefile                                      |  1 +
 misc/py-sagemaker-serve/Makefile                   | 29 ++++++++++++++
 misc/py-sagemaker-serve/distinfo                   |  3 ++
 misc/py-sagemaker-serve/files/patch-pyproject.toml | 44 ++++++++++++++++++++++
 misc/py-sagemaker-serve/pkg-descr                  | 11 ++++++
 5 files changed, 88 insertions(+)

diff --git a/misc/Makefile b/misc/Makefile
index 032797b85fa3..28b211c53e82 100644
--- a/misc/Makefile
+++ b/misc/Makefile
@@ -562,6 +562,7 @@
     SUBDIR += py-sagemaker
     SUBDIR += py-sagemaker-core
     SUBDIR += py-sagemaker-mlops
+    SUBDIR += py-sagemaker-serve
     SUBDIR += py-sagemaker-shim
     SUBDIR += py-sagemaker-train
     SUBDIR += py-schedulefree
diff --git a/misc/py-sagemaker-serve/Makefile b/misc/py-sagemaker-serve/Makefile
new file mode 100644
index 000000000000..cf7cb024e6ee
--- /dev/null
+++ b/misc/py-sagemaker-serve/Makefile
@@ -0,0 +1,29 @@
+PORTNAME=	sagemaker-serve
+DISTVERSION=	1.0
+CATEGORIES=	misc python # machine-learning
+MASTER_SITES=	PYPI
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+DISTNAME=	${PORTNAME:S/-/_/}-${PORTVERSION}
+
+MAINTAINER=	yuri@FreeBSD.org
+COMMENT=	SageMaker: Library for training & deploying models on Amazon SageMaker
+WWW=		https://sagemaker.readthedocs.io/en/stable/ \
+		https://github.com/aws/sagemaker-python-sdk
+
+LICENSE=	APACHE20
+
+BUILD_DEPENDS=	${PY_SETUPTOOLS} \
+		${PYTHON_PKGNAMEPREFIX}wheel>0:devel/py-wheel@${PY_FLAVOR}
+RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}boto3>=1.35.75<2.0:www/py-boto3@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}botocore>=1.35.75<2.0:devel/py-botocore@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}psutil>=0:sysutils/py-psutil@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}sagemaker-core>=2.0.0:misc/py-sagemaker-core@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}sagemaker-train>=0.1.0:misc/py-sagemaker-train@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}tqdm>=0:misc/py-tqdm@${PY_FLAVOR}
+
+USES=		python
+USE_PYTHON=	pep517 autoplist
+
+NO_ARCH=	yes
+
+.include <bsd.port.mk>
diff --git a/misc/py-sagemaker-serve/distinfo b/misc/py-sagemaker-serve/distinfo
new file mode 100644
index 000000000000..5af71bb8afb4
--- /dev/null
+++ b/misc/py-sagemaker-serve/distinfo
@@ -0,0 +1,3 @@
+TIMESTAMP = 1764171850
+SHA256 (sagemaker_serve-1.0.tar.gz) = f5aeaf376e2cb41d476c5b1a9c06c347868acb0c5e5ffa67c2da373ac54f97d4
+SIZE (sagemaker_serve-1.0.tar.gz) = 148682
diff --git a/misc/py-sagemaker-serve/files/patch-pyproject.toml b/misc/py-sagemaker-serve/files/patch-pyproject.toml
new file mode 100644
index 000000000000..9ee202738eec
--- /dev/null
+++ b/misc/py-sagemaker-serve/files/patch-pyproject.toml
@@ -0,0 +1,44 @@
+Removed dependencies:
+- deepdiff: declared but never imported or used in the codebase
+- mlflow: optional, only used conditionally when sagemaker_mlflow is installed
+- sagemaker_schema_inference_artifacts: optional, used in try/except fallback
+- pytest: test-only dependency, not needed at runtime
+- tqdm, psutil: handled via RUN_DEPENDS in Makefile
+- tritonclient[http]: optional, used in try/except for Triton validation
+- onnx, onnxruntime, torch: not available on FreeBSD; torch has a module-level
+  import in app.py but that module is only used for specific serving scenarios
+
+--- pyproject.toml.orig	2025-11-20 20:42:14 UTC
++++ pyproject.toml
+@@ -1,5 +1,5 @@
+ [build-system]
+-requires = ["setuptools>=64", "wheel"]
++requires = ["setuptools", "wheel"]
+ build-backend = "setuptools.build_meta"
+
+ [project]
+@@ -23,16 +23,6 @@ dependencies = [
+     "sagemaker-train>=0.1.0",
+     "boto3>=1.35.75,<2.0",
+     "botocore>=1.35.75,<2.0",
+-    "deepdiff",
+-    "mlflow",
+-    "sagemaker_schema_inference_artifacts",
+-    "pytest",
+-    "tqdm",
+-    "psutil",
+-    "tritonclient[http]",
+-    "onnx",
+-    "onnxruntime",
+-    "torch>=2.0.0"
+ ]
+
+ [project.optional-dependencies]
+@@ -49,7 +39,6 @@ dev = [
+ ]
+
+ [tool.setuptools]
+-package-dir = {"" = "src"}
+ include-package-data = true
+
+ [tool.setuptools.packages.find]
diff --git a/misc/py-sagemaker-serve/pkg-descr b/misc/py-sagemaker-serve/pkg-descr
new file mode 100644
index 000000000000..16dad05472d1
--- /dev/null
+++ b/misc/py-sagemaker-serve/pkg-descr
@@ -0,0 +1,11 @@
+sagemaker-train is a part of the SageMaker Python SDK.
+
+SageMaker Python SDK is an open source library for training and deploying
+machine learning models on Amazon SageMaker.
+
+With the SDK, you can train and deploy models using popular deep learning
+frameworks Apache MXNet and TensorFlow. You can also train and deploy
+models with Amazon algorithms, which are scalable implementations of core
+machine learning algorithms that are optimized for SageMaker and GPU training.
+If you have your own algorithms built into SageMaker compatible Docker
+containers, you can train and host models using these as well.