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dataflows-tabulator-py is a library for reading and writing tabular data (csv/xls/json/etc). Features: - Supports most common tabular formats: CSV, XLS, ODS, JSON, Google Sheets, SQL, and others. See complete list below. - Loads local and remote data: Supports HTTP, FTP and S3. - Low memory usage: Only the current row is kept in memory, so you can large datasets. - Supports compressed files: Using ZIP or GZIP algorithms. - Extensible: You can add support for custom file formats and loaders (e.g. FTP).
34 lines
1.4 KiB
Makefile
34 lines
1.4 KiB
Makefile
PORTNAME= dataflows-tabulator
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PORTVERSION= 1.54.3
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CATEGORIES= devel python
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MASTER_SITES= PYPI
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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MAINTAINER= sunpoet@FreeBSD.org
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COMMENT= Consistent interface for stream reading and writing tabular data
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WWW= https://github.com/akariv/tabulator-py
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LICENSE= MIT
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LICENSE_FILE= ${WRKSRC}/LICENSE.md
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BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}setuptools>=0:devel/py-setuptools@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}wheel>=0:devel/py-wheel@${PY_FLAVOR}
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RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}boto3>=1.9:www/py-boto3@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}chardet>=3.0:textproc/py-chardet@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}click>=6.0:devel/py-click@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}ijson>=3.0.3:devel/py-ijson@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}jsonlines>=1.1:devel/py-jsonlines@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}linear-tsv>=1.0:devel/py-linear-tsv@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}openpyxl>=2.6:textproc/py-openpyxl@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}requests>=2.8:www/py-requests@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}six>=1.9:devel/py-six@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}sqlalchemy20>=0.9.6:databases/py-sqlalchemy20@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}unicodecsv>=0.14:devel/py-unicodecsv@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}xlrd>=1.0:textproc/py-xlrd@${PY_FLAVOR}
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USES= python
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USE_PYTHON= autoplist concurrent pep517
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NO_ARCH= yes
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.include <bsd.port.mk>
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