forked from Lainports/freebsd-ports
Add py-elasticsearch6 6.4.0 (copied from py-elasticsearch)
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SUBDIR += py-elasticsearch-curator
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SUBDIR += py-elasticsearch-dsl
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SUBDIR += py-elasticsearch5
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SUBDIR += py-elasticsearch6
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SUBDIR += py-elib.intl
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SUBDIR += py-empy
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SUBDIR += py-enchant
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34
textproc/py-elasticsearch6/Makefile
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34
textproc/py-elasticsearch6/Makefile
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# Created by: Ryan Steinmetz <zi@FreeBSD.org>
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# $FreeBSD$
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PORTNAME= elasticsearch
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PORTVERSION= 6.4.0
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CATEGORIES= textproc python
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MASTER_SITES= CHEESESHOP
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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PKGNAMESUFFIX= 6
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MAINTAINER= sunpoet@FreeBSD.org
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COMMENT= Official Python low-level client for Elasticsearch
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LICENSE= APACHE20
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RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}urllib3>=1.21.1:net/py-urllib3@${PY_FLAVOR}
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TEST_DEPENDS= ${PYTHON_PKGNAMEPREFIX}coverage>=0:devel/py-coverage@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}mock>=0:devel/py-mock@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}nose>=0:devel/py-nose@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}pyaml>=0:textproc/py-pyaml@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}requests>=2.0.0:www/py-requests@${PY_FLAVOR}
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USES= python
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USE_PYTHON= autoplist concurrent distutils
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NO_ARCH= yes
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OPTIONS_DEFINE= REQUESTS
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OPTIONS_DEFAULT=REQUESTS
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REQUESTS_DESC= Enable requests support
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REQUESTS_RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}requests>=2.4.0:www/py-requests@${PY_FLAVOR}
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.include <bsd.port.mk>
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3
textproc/py-elasticsearch6/distinfo
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3
textproc/py-elasticsearch6/distinfo
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TIMESTAMP = 1563013438
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SHA256 (elasticsearch-6.4.0.tar.gz) = fb5ab15ee283f104b5a7a5695c7e879cb2927e4eb5aed9c530811590b41259ad
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SIZE (elasticsearch-6.4.0.tar.gz) = 83063
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17
textproc/py-elasticsearch6/pkg-descr
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17
textproc/py-elasticsearch6/pkg-descr
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Official low-level client for Elasticsearch. Its goal is to provide common
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ground for all Elasticsearch-related code in Python; because of this it tries to
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be opinion-free and very extendable.
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For a more high level client library with more limited scope, have a look at
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elasticsearch-dsl - a more pythonic library sitting on top of elasticsearch-py.
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It provides a more convenient and idiomatic way to write and manipulate queries.
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It stays close to the Elasticsearch JSON DSL, mirroring its terminology and
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structure while exposing the whole range of the DSL from Python either directly
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using defined classes or a queryset-like expressions.
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It also provides an optional persistence layer for working with documents as
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Python objects in an ORM-like fashion: defining mappings, retrieving and saving
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documents, wrapping the document data in user-defined classes.
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WWW: https://github.com/elastic/elasticsearch-py
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