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freebsd-ports/databases/py-tableschema/Makefile

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Add py-tableschema 1.4.0 Table Schema is a simple language- and implementation-agnostic way to declare a schema for tabular data. Table Schema is well suited for use cases around handling and validating tabular data in text formats such as CSV, but its utility extends well beyond this core usage, towards a range of applications where data benefits from a portable schema format. Features: - Table to work with data tables described by Table Schema - Schema representing Table Schema - Field representing Table Schema field - validate to validate Table Schema - infer to infer Table Schema from data - built-in command-line interface to validate and infer schemas - storage/plugins system to connect tables to different storage backends like SQL Database WWW: https://github.com/frictionlessdata/tableschema-py
2019-04-15 23:15:28 +02:00
# Created by: Po-Chuan Hsieh <sunpoet@FreeBSD.org>
# $FreeBSD$
PORTNAME= tableschema
Update to 1.12.2 Changes: https://github.com/frictionlessdata/tableschema-py/blob/master/README.md#changelog https://github.com/frictionlessdata/tableschema-py/commits/master
2019-12-29 18:33:38 +01:00
PORTVERSION= 1.12.2
Add py-tableschema 1.4.0 Table Schema is a simple language- and implementation-agnostic way to declare a schema for tabular data. Table Schema is well suited for use cases around handling and validating tabular data in text formats such as CSV, but its utility extends well beyond this core usage, towards a range of applications where data benefits from a portable schema format. Features: - Table to work with data tables described by Table Schema - Schema representing Table Schema - Field representing Table Schema field - validate to validate Table Schema - infer to infer Table Schema from data - built-in command-line interface to validate and infer schemas - storage/plugins system to connect tables to different storage backends like SQL Database WWW: https://github.com/frictionlessdata/tableschema-py
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CATEGORIES= databases python
MASTER_SITES= CHEESESHOP
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= sunpoet@FreeBSD.org
COMMENT= Utility library for working with Table Schema
LICENSE= MIT
LICENSE_FILE= ${WRKSRC}/LICENSE.md
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}click>=3.3:devel/py-click@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}dateutil>=2.4:devel/py-dateutil@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}isodate>=0.5.4:devel/py-isodate@${PY_FLAVOR} \
Update to 1.4.1 Changes: https://github.com/frictionlessdata/tableschema-py/commits/master
2019-04-18 20:00:10 +02:00
${PYTHON_PKGNAMEPREFIX}jsonschema>=2.5:devel/py-jsonschema@${PY_FLAVOR} \
Add py-tableschema 1.4.0 Table Schema is a simple language- and implementation-agnostic way to declare a schema for tabular data. Table Schema is well suited for use cases around handling and validating tabular data in text formats such as CSV, but its utility extends well beyond this core usage, towards a range of applications where data benefits from a portable schema format. Features: - Table to work with data tables described by Table Schema - Schema representing Table Schema - Field representing Table Schema field - validate to validate Table Schema - infer to infer Table Schema from data - built-in command-line interface to validate and infer schemas - storage/plugins system to connect tables to different storage backends like SQL Database WWW: https://github.com/frictionlessdata/tableschema-py
2019-04-15 23:15:28 +02:00
${PYTHON_PKGNAMEPREFIX}requests>=2.5:www/py-requests@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}rfc3986>=1.1.0:www/py-rfc3986@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}six>=1.9:devel/py-six@${PY_FLAVOR} \
Update to 1.9.0 Changes: https://github.com/frictionlessdata/tableschema-py/blob/master/README.md#changelog https://github.com/frictionlessdata/tableschema-py/commits/master
2019-11-01 17:32:41 +01:00
${PYTHON_PKGNAMEPREFIX}tabulator>=1.29:devel/py-tabulator@${PY_FLAVOR} \
Add py-tableschema 1.4.0 Table Schema is a simple language- and implementation-agnostic way to declare a schema for tabular data. Table Schema is well suited for use cases around handling and validating tabular data in text formats such as CSV, but its utility extends well beyond this core usage, towards a range of applications where data benefits from a portable schema format. Features: - Table to work with data tables described by Table Schema - Schema representing Table Schema - Field representing Table Schema field - validate to validate Table Schema - infer to infer Table Schema from data - built-in command-line interface to validate and infer schemas - storage/plugins system to connect tables to different storage backends like SQL Database WWW: https://github.com/frictionlessdata/tableschema-py
2019-04-15 23:15:28 +02:00
${PYTHON_PKGNAMEPREFIX}unicodecsv>=0.14:devel/py-unicodecsv@${PY_FLAVOR}
USES= python
USE_PYTHON= autoplist concurrent distutils
NO_ARCH= yes
.include <bsd.port.mk>
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