devel/py-cloudpathlib: Add py-cloudpathlib 0.17.0

cloudpathlib is a Python library with classes that mimic pathlib.Path's
interface for URIs from different cloud storage services.

Why use cloudpathlib?
- Familiar: If you know how to interact with Path, you know how to interact with
  CloudPath. All of the cloud-relevant Path methods are implemented.
- Supported clouds: AWS S3, Google Cloud Storage, and Azure Blob Storage are
  implemented. FTP is on the way.
- Extensible: The base classes do most of the work generically, so implementing
  two small classes MyPath and MyClient is all you need to add support for a new
  cloud storage service.
- Read/write support: Reading just works. Using the write_text, write_bytes or
  .open('w') methods will all upload your changes to cloud storage without any
  additional file management as a developer.
- Seamless caching: Files are downloaded locally only when necessary. You can
  also easily pass a persistent cache folder so that across processes and
  sessions you only re-download what is necessary.
- Tested: Comprehensive test suite and code coverage.
- Testability: Local filesystem implementations that can be used to easily mock
  cloud storage in your unit tests.

devel/Makefile

@@ -4501,6 +4501,7 @@
     SUBDIR += py-clikit
     SUBDIR += py-clint
     SUBDIR += py-clldutils
+    SUBDIR += py-cloudpathlib
     SUBDIR += py-cloudpickle
     SUBDIR += py-cluster
     SUBDIR += py-cmd2

devel/py-cloudpathlib/Makefile

@@ -0,0 +1,35 @@
+PORTNAME=	cloudpathlib
+PORTVERSION=	0.17.0
+CATEGORIES=	devel python
+MASTER_SITES=	PYPI
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	sunpoet@FreeBSD.org
+COMMENT=	pathlib-style classes for cloud storage services
+WWW=		https://cloudpathlib.drivendata.org/stable/ \
+		https://github.com/drivendataorg/cloudpathlib
+
+LICENSE=	MIT
+LICENSE_FILE=	${WRKSRC}/LICENSE
+
+BUILD_DEPENDS=	${PYTHON_PKGNAMEPREFIX}flit-core>=3.2<4.0:devel/py-flit-core@${PY_FLAVOR}
+
+USES=		python
+USE_PYTHON=	autoplist concurrent pep517
+
+NO_ARCH=	yes
+
+OPTIONS_DEFINE=	GS S3
+GS_DESC=	Google Cloud Storage support
+S3_DESC=	Amazon S3 support
+
+GS_RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}google-cloud-storage>=0:www/py-google-cloud-storage@${PY_FLAVOR}
+S3_RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}boto3>=0:www/py-boto3@${PY_FLAVOR}
+
+.include <bsd.port.pre.mk>
+
+.if ${PYTHON_REL} < 31100
+RUN_DEPENDS+=	${PYTHON_PKGNAMEPREFIX}typing-extensions>=4:devel/py-typing-extensions@${PY_FLAVOR}
+.endif
+
+.include <bsd.port.post.mk>

devel/py-cloudpathlib/distinfo

@@ -0,0 +1,3 @@
+TIMESTAMP = 1708448814
+SHA256 (cloudpathlib-0.17.0.tar.gz) = 097c94926d0e8b76df61fec12ba1b725728c6a77071ca7e6565be93fb4496ff9
+SIZE (cloudpathlib-0.17.0.tar.gz) = 38045

devel/py-cloudpathlib/pkg-descr

@@ -0,0 +1,20 @@
+cloudpathlib is a Python library with classes that mimic pathlib.Path's
+interface for URIs from different cloud storage services.
+
+Why use cloudpathlib?
+- Familiar: If you know how to interact with Path, you know how to interact with
+  CloudPath. All of the cloud-relevant Path methods are implemented.
+- Supported clouds: AWS S3, Google Cloud Storage, and Azure Blob Storage are
+  implemented. FTP is on the way.
+- Extensible: The base classes do most of the work generically, so implementing
+  two small classes MyPath and MyClient is all you need to add support for a new
+  cloud storage service.
+- Read/write support: Reading just works. Using the write_text, write_bytes or
+  .open('w') methods will all upload your changes to cloud storage without any
+  additional file management as a developer.
+- Seamless caching: Files are downloaded locally only when necessary. You can
+  also easily pass a persistent cache folder so that across processes and
+  sessions you only re-download what is necessary.
+- Tested: Comprehensive test suite and code coverage.
+- Testability: Local filesystem implementations that can be used to easily mock
+  cloud storage in your unit tests.