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Thu, 7 Sep 2023 01:31:16 GMT (envelope-from git) Date: Thu, 7 Sep 2023 01:31:16 GMT Message-Id: <202309070131.3871VGqd082758@gitrepo.freebsd.org> To: ports-committers@FreeBSD.org, dev-commits-ports-all@FreeBSD.org, dev-commits-ports-main@FreeBSD.org From: Yuri Victorovich Subject: git: 9f5c387f4843 - main - www/py-google-cloud-aiplatform: New port: Vertex AI API client library List-Id: Commits to the main branch of the FreeBSD ports repository List-Archive: https://lists.freebsd.org/archives/dev-commits-ports-main List-Help: List-Post: List-Subscribe: List-Unsubscribe: Sender: owner-dev-commits-ports-main@freebsd.org X-BeenThere: dev-commits-ports-main@freebsd.org MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 8bit X-Git-Committer: yuri X-Git-Repository: ports X-Git-Refname: refs/heads/main X-Git-Reftype: branch X-Git-Commit: 9f5c387f484334d933f702b4852d885ed816670b Auto-Submitted: auto-generated The branch main has been updated by yuri: URL: https://cgit.FreeBSD.org/ports/commit/?id=9f5c387f484334d933f702b4852d885ed816670b commit 9f5c387f484334d933f702b4852d885ed816670b Author: Yuri Victorovich AuthorDate: 2023-09-07 01:29:56 +0000 Commit: Yuri Victorovich CommitDate: 2023-09-07 01:31:14 +0000 www/py-google-cloud-aiplatform: New port: Vertex AI API client library --- www/Makefile | 1 + www/py-google-cloud-aiplatform/Makefile | 27 +++++++++++++++++++++++++++ www/py-google-cloud-aiplatform/distinfo | 3 +++ www/py-google-cloud-aiplatform/pkg-descr | 4 ++++ 4 files changed, 35 insertions(+) diff --git a/www/Makefile b/www/Makefile index 78b2e3d85205..29f7b6b5e593 100644 --- a/www/Makefile +++ b/www/Makefile @@ -1662,6 +1662,7 @@ SUBDIR += py-google SUBDIR += py-google-api-core SUBDIR += py-google-api-python-client + SUBDIR += py-google-cloud-aiplatform SUBDIR += py-google-cloud-appengine-logging SUBDIR += py-google-cloud-audit-log SUBDIR += py-google-cloud-bigquery diff --git a/www/py-google-cloud-aiplatform/Makefile b/www/py-google-cloud-aiplatform/Makefile new file mode 100644 index 000000000000..619a7ec50d79 --- /dev/null +++ b/www/py-google-cloud-aiplatform/Makefile @@ -0,0 +1,27 @@ +PORTNAME= google-cloud-aiplatform +DISTVERSION= 1.32.0 +CATEGORIES= www # machine-learning +MASTER_SITES= PYPI +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} + +MAINTAINER= yuri@FreeBSD.org +COMMENT= Vertex AI API client library +WWW= https://github.com/googleapis/python-aiplatform + +LICENSE= APACHE20 +LICENSE_FILE= ${WRKSRC}/LICENSE + +RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}google-api-core>=1.32.0:www/py-google-api-core@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}google-cloud-storage>=1.32.0:www/py-google-cloud-storage@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}google-cloud-bigquery>=1.15.0:www/py-google-cloud-bigquery@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}google-cloud-resource-manager>=1.3.3:www/py-google-cloud-resource-manager@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}packaging>=14.3:devel/py-packaging@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}proto-plus>=1.22.2<2.0.0:devel/py-proto-plus@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}protobuf>=3.19.5:devel/py-protobuf@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}shapely>0:devel/py-shapely@${PY_FLAVOR} + +USES= python +USE_LDCONFIG= yes +USE_PYTHON= distutils autoplist # TODO pytest - it has a large and complex set of dependencies + +.include diff --git a/www/py-google-cloud-aiplatform/distinfo b/www/py-google-cloud-aiplatform/distinfo new file mode 100644 index 000000000000..bcf25f382527 --- /dev/null +++ b/www/py-google-cloud-aiplatform/distinfo @@ -0,0 +1,3 @@ +TIMESTAMP = 1694021212 +SHA256 (google-cloud-aiplatform-1.32.0.tar.gz) = 18558f2a908a86a9b78b744486c71dcf0c836b232466422277b2da572d30b8f4 +SIZE (google-cloud-aiplatform-1.32.0.tar.gz) = 2973829 diff --git a/www/py-google-cloud-aiplatform/pkg-descr b/www/py-google-cloud-aiplatform/pkg-descr new file mode 100644 index 000000000000..1445ca2d3760 --- /dev/null +++ b/www/py-google-cloud-aiplatform/pkg-descr @@ -0,0 +1,4 @@ +Google Vertex AI is an integrated suite of machine learning tools and services +for building and using ML models with AutoML or custom code. It offers both +novices and experts the best workbench for the entire machine learning +development lifecycle.