databases/py-dbt-core: new port

dbt enables data analysts and engineers to transform their data using the same
practices that software engineers use to build applications.

Analysts using dbt can transform their data by simply writing select statements,
while dbt handles turning these statements into tables and views in a data
warehouse.

These select statements, or "models", form a dbt project. Models frequently
build on top of one another - dbt makes it easy to manage relationships between
models, and visualize these relationships, as well as assure the quality of your
transformations through testing.

PR:		274582
Author:    Pat Maddox <pat@patmaddox.com>

databases/Makefile

@@ -756,6 +756,7 @@
     SUBDIR += py-couchdb
     SUBDIR += py-databases
     SUBDIR += py-dbf
+    SUBDIR += py-dbt-core
     SUBDIR += py-dbt-semantic-interfaces
     SUBDIR += py-dbutils
     SUBDIR += py-duckdb

databases/py-dbt-core/Makefile

@@ -0,0 +1,41 @@
+PORTNAME=	dbt-core
+PORTVERSION=	1.6.0
+CATEGORIES=	databases python
+MASTER_SITES=	PYPI
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	pat@patmaddox.com
+COMMENT=	With dbt, build analytics the way engineers build applications
+WWW=		https://github.com/dbt-labs/dbt-core
+
+LICENSE=	APACHE20
+
+RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}agate>=1.7,<2:textproc/py-agate@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}Jinja2>=3.1.2,<4:devel/py-Jinja2@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}mashumaro>=3.8.1,<4:devel/py-mashumaro@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}msgpack>0:devel/py-msgpack@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}logbook>0:devel/py-logbook@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}click<9:devel/py-click@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}networkx>=2.3:math/py-networkx@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}colorama>=0.3.9,<0.5:devel/py-colorama@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}pathspec>=0.9,<0.12:devel/py-pathspec@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}isodate>=0.6,<0.7:devel/py-isodate@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}sqlparse>=0.2.3,<0.5:databases/py-sqlparse@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}dbt-extractor>=0.4.1,<-0.5:devel/py-dbt-extractor@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}hologram>=0.0.16,0.1:devel/py-hologram@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}minimal-snowplow-tracker>=0.0.2,<0.1:devel/py-minimal-snowplow-tracker@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}dbt-semantic-interfaces>=0.2.0,<0.3:databases/py-dbt-semantic-interfaces@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}packaging>20.9:devel/py-packaging@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}protobuf>=4.0.0:devel/py-protobuf@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}pytz>=2015.7:devel/py-pytz@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}yaml>=6.0:devel/py-yaml@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}typing-extensions>=3.7.4:devel/py-typing-extensions@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}cffi>0:devel/py-cffi@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}idna>0:dns/py-idna@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}requests>0:www/py-requests@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}urllib3>0:net/py-urllib3@${PY_FLAVOR}
+
+USES=		python
+USE_PYTHON=	autoplist concurrent distutils
+
+.include <bsd.port.mk>

databases/py-dbt-core/distinfo

@@ -0,0 +1,3 @@
+TIMESTAMP = 1691520002
+SHA256 (dbt-core-1.6.0.tar.gz) = 51da239af02ed449562d3c5caea903edee7b5427c47efd5a6439634c59858087
+SIZE (dbt-core-1.6.0.tar.gz) = 889429

databases/py-dbt-core/pkg-descr

@@ -0,0 +1,11 @@
+dbt enables data analysts and engineers to transform their data using the same
+practices that software engineers use to build applications.
+
+Analysts using dbt can transform their data by simply writing select statements,
+while dbt handles turning these statements into tables and views in a data
+warehouse.
+
+These select statements, or "models", form a dbt project. Models frequently
+build on top of one another - dbt makes it easy to manage relationships between
+models, and visualize these relationships, as well as assure the quality of your
+transformations through testing.