在同一环境下使用不同版本的 python 包
Use different version of python package in the same environment
我需要在同一个 virtualenv 中安装不同版本的 elasticseach-dsl
。我希望能够使用某种别名导入它们:
import elasticsearch_dsl1
import elasticsearch_dsl2
import elasticsearch_dsl5
我正在考虑创建名为 elasricsearch_dsl*
的包,并在它们的 setup.py
中添加正确版本 elasticsearch_dsl
的安装要求,但是当我安装这些包时,它会导致冲突,因为我所有的包都需要同一个库的不同版本。
我不知道如何进行以及是否可行。
非常感谢大家
简答:
不可能。
我找到了解决问题的方法。
- 我下载了
elasticsearch-dsl
个不同版本库的源码
- 然后将导入语句更改为使用
elasticsearch1
、elasticsearch2
etc.libraries 而不是 elasticsearch
v1.x 和 v2.x
# example `elasticsearch-dsl` v5.4.0
from elasticsearch import Elasticsearch # --> from elasticsearch5 import Elasticsearch
- 修改了
setup.py
,将elasticsearch
的依赖关系更改为elasticsearch1
、elasticsearch2
等elasticsearch-dsl
[=42的每个版本=]
我很幸运,因为elasticsearch1
、elasticsearch2
...的存在,否则我将不得不为他们重复同样的程序。更幸运的是各个版本库的依赖兼容性。
我并不为这个 hack 感到骄傲,但它确实有效。
setup.py
elasticsearch-dls==7.3.0
的 setup.py
文件示例,然后是 elasticsearch-dsl7
from os.path import join, dirname
from setuptools import setup, find_packages
VERSION = (7, 3, 0)
__version__ = VERSION
__versionstr__ = ".".join(map(str, VERSION))
f = open(join(dirname(__file__), "README"))
long_description = f.read().strip()
f.close()
install_requires = [
"six",
"python-dateutil",
"elasticsearch7", # before "elasticsearch>=7.0.0,<8.0.0" <---
# ipaddress is included in stdlib since python 3.3
'ipaddress; python_version<"3.3"',
]
tests_require = [
"mock",
"pytest>=3.0.0",
"pytest-cov",
"pytest-mock<3.0.0",
"pytz",
"coverage<5.0.0",
]
setup(
name="elasticsearch-dsl7", # <---
description="Python client for Elasticsearch",
license="Apache-2.0",
url="https://github.com/elasticsearch/elasticsearch-dsl-py",
long_description=long_description,
version=__versionstr__,
author="Honza Král",
author_email="honza.kral@gmail.com",
maintainer="Seth Michael Larson",
maintainer_email="seth.larson@elastic.co",
packages=find_packages(where=".", exclude=("test_elasticsearch_dsl*",)),
python_requires=">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*",
classifiers=[
"Development Status :: 4 - Beta",
"License :: OSI Approved :: Apache Software License",
"Intended Audience :: Developers",
"Operating System :: OS Independent",
"Programming Language :: Python",
"Programming Language :: Python :: 2",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.4",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: Implementation :: CPython",
"Programming Language :: Python :: Implementation :: PyPy",
],
install_requires=install_requires,
test_suite="test_elasticsearch_dsl.run_tests.run_all",
tests_require=tests_require,
extras_require={"develop": tests_require + ["sphinx", "sphinx_rtd_theme"]},
)
我需要在同一个 virtualenv 中安装不同版本的 elasticseach-dsl
。我希望能够使用某种别名导入它们:
import elasticsearch_dsl1
import elasticsearch_dsl2
import elasticsearch_dsl5
我正在考虑创建名为 elasricsearch_dsl*
的包,并在它们的 setup.py
中添加正确版本 elasticsearch_dsl
的安装要求,但是当我安装这些包时,它会导致冲突,因为我所有的包都需要同一个库的不同版本。
我不知道如何进行以及是否可行。
非常感谢大家
简答:
不可能。
我找到了解决问题的方法。
- 我下载了
elasticsearch-dsl
个不同版本库的源码 - 然后将导入语句更改为使用
elasticsearch1
、elasticsearch2
etc.libraries 而不是elasticsearch
v1.x 和 v2.x
# example `elasticsearch-dsl` v5.4.0
from elasticsearch import Elasticsearch # --> from elasticsearch5 import Elasticsearch
- 修改了
setup.py
,将elasticsearch
的依赖关系更改为elasticsearch1
、elasticsearch2
等elasticsearch-dsl
[=42的每个版本=]
我很幸运,因为elasticsearch1
、elasticsearch2
...的存在,否则我将不得不为他们重复同样的程序。更幸运的是各个版本库的依赖兼容性。
我并不为这个 hack 感到骄傲,但它确实有效。
setup.py
elasticsearch-dls==7.3.0
的 setup.py
文件示例,然后是 elasticsearch-dsl7
from os.path import join, dirname
from setuptools import setup, find_packages
VERSION = (7, 3, 0)
__version__ = VERSION
__versionstr__ = ".".join(map(str, VERSION))
f = open(join(dirname(__file__), "README"))
long_description = f.read().strip()
f.close()
install_requires = [
"six",
"python-dateutil",
"elasticsearch7", # before "elasticsearch>=7.0.0,<8.0.0" <---
# ipaddress is included in stdlib since python 3.3
'ipaddress; python_version<"3.3"',
]
tests_require = [
"mock",
"pytest>=3.0.0",
"pytest-cov",
"pytest-mock<3.0.0",
"pytz",
"coverage<5.0.0",
]
setup(
name="elasticsearch-dsl7", # <---
description="Python client for Elasticsearch",
license="Apache-2.0",
url="https://github.com/elasticsearch/elasticsearch-dsl-py",
long_description=long_description,
version=__versionstr__,
author="Honza Král",
author_email="honza.kral@gmail.com",
maintainer="Seth Michael Larson",
maintainer_email="seth.larson@elastic.co",
packages=find_packages(where=".", exclude=("test_elasticsearch_dsl*",)),
python_requires=">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*",
classifiers=[
"Development Status :: 4 - Beta",
"License :: OSI Approved :: Apache Software License",
"Intended Audience :: Developers",
"Operating System :: OS Independent",
"Programming Language :: Python",
"Programming Language :: Python :: 2",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.4",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: Implementation :: CPython",
"Programming Language :: Python :: Implementation :: PyPy",
],
install_requires=install_requires,
test_suite="test_elasticsearch_dsl.run_tests.run_all",
tests_require=tests_require,
extras_require={"develop": tests_require + ["sphinx", "sphinx_rtd_theme"]},
)