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你好，我是悦创。之前我在 CSDN 编写了一篇开发 Python 库的教程，有人加我发问到的一些问题，我来更新一下这篇文章：https://blog.csdn.net/qq_33254766/article/details/119874997
新版文章首发：https://bornforthis.cn/posts/18.html
你好，我是悦创。
Hello, I’m Yue Chuang.
我最近想要去开始开发 Python 第三方库，然而发现国内这样的教程太少了，所以就我来写吧！
I recently wanted to start developing Python third-party libraries, but found that there are too few such tutorials in the country, so I will write them instead!
还有就是已经想创立一个 Python 库，无论是为您的工作团队还是在线的一些开源我的项目？在此博客中，您将学习如何操作！
Ever wanted to create a Python library, albeit for your team at work or for some open source project online? In this blog you will learn how to!
当您应用雷同的开发工具 Pycharm，你会最容易跟上我的教程，当然您也能够应用不同的工具。
The tutorial is easiest to follow when you are using the same tools, however it is also possible for you to use different ones.
本文章应用的是工具有：
The tools used in this tutorial are:
- MacOS「其实，不论你应用何种电脑都能够」MacOS command prompt
- Pycharm「社区版本足已」
第 0 步：MacOS 命令行命令「Step 0: MacOS command line command」
关上命令提示符并创立一个文件夹，您将在其中创立 Python 库。
Open your command prompt and create a folder in which you will create your Python library.
请记住：
Remember:
pwd您能够看到您以后的工作目录。「Withpwdyou can see your present working directory.」ls您能够列出当前目录中的文件夹和文件。「Withlsyou can list the folders and files in your directory.」cd <path>您能够更改以后所在的目录。「Withcd <path>you can change the current present directory you are in.」mkdir <folder>您能够在当前工作目录中创立一个新文件夹。「Withmkdir <folder>you can create a new folder in your working directory.」
第 1 步：创立一个要搁置库的目录「Step 1: Create a directory in which you want to put your library」
我创立一个文件夹名为：Turingaiyc，这个名称其实也是我前面公布库的名称，留神不要太广泛因为会反复，反复就会导致 公布库失败。
I created a folder called Turingaiyc, which is actually the name of the library I will publish later. Be careful not to make it too common because it will be repetitive, which will cause the library to fail.
「PS：你如果 Win 零碎的话，能够应用上面的命令，如果是 MacOS 的话我其实更喜爱命令行创立。」
I created a folder called Turingaiyc, which is actually the name of the library I will publish later. Be careful not to make it too common because it will be repetitive, which will cause the library to fail.
就我而言，我将应用的文件夹是 Turingaiyc。将当前工作目录更改为您的文件夹。
In my case, the folder I will be working with is
Turingaiyc. Change the present working directory to be your folder.
第 2 步：为您的文件夹创立一个虚拟环境「Step 2: Create a virtual environment for your folder」
在启动您的我的项目时，创立一个虚拟环境来封装您的我的项目总是一个好主见。虚拟环境由某个 Python 版本和一些库组成。
When starting your project, it is always a good idea to create a virtual environment to encapsulate your project. A virtual environment consists of a certain Python version and some libraries.
参考：这么全的 Python 虚拟环境？不看惋惜了！
Reference: Such a full Python virtual environment? What a pity!
虚拟环境可避免当前遇到依赖性问题。例如，在较旧的我的项目中，您可能应用的是较旧版本的 numpy 库。一些已经运行良好的旧代码可能会在你更新 numpy 版本后不能失常运行了。创立虚拟环境能够避免这种状况，当你与其他人合作时，虚拟环境也能确保你的程序在其他人的电脑上失常运行。反之亦然。
Virtual environments prevent the issue of running into dependency issues later on. For example, in older projects you might have worked with older versions of the
numpylibrary. Some old code, that once worked beautifully, might stop working once you update its version. Perhaps parts ofnumpyare no longer compatible with other parts of your program. Creating virtual environments prevents this. They are also useful in cases when you are collaborating with someone else, and you want to make sure that your application is working on their computer, and vice versa.
接下来，你要确保你以后的工作目录是你刚刚创立的目录，(cd <path/to/folder> ) 中创立 Python 库的文件夹。）
(Make sure you changed the present working directory to the folder you are going to create your Python library in (
cd <path/to/folder>).)
持续并通过键入以下内容创立虚拟环境：
Go ahead and create a virtual environment by typing:
python3 -m venv venv
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创立后，你当初必须应用以下命令激活环境：
Once it is created, you must now activate the environment by using:
source venv/bin/activate
激活虚拟环境会批改 PATH 和 shell 的变量，以指向您创立的特定虚拟环境 Python 的设置。PATH 是 MacOS/Linux 和其余类 Unix 操作系统中的环境变量，它通知 shell 在响应用户收回的命令时，去搜寻哪些目录的 Python 执行环境（即筹备运行的程序）。命令提示符将更改为通过增加 (yourenvname) 来批示您以后所在的虚拟环境。
Activating a virtual environment modifies the PATH and shell variables to point to the specific isolated Python set-up you created. PATH is an environmental variable in Linux and other Unix-like operating systems that tells the shell which directories to search for executable files (i.e., ready-to-run programs) in response to commands issued by a user. The command prompt will change to indicate which virtual environment you are currently in by prepending (
yourenvname).
你要确保你的环境曾经装置了 pip、wheel、setuptools、twine。咱们稍后将须要它们来构建咱们的 Python 库。
In your environment, make sure you have pip installed
wheel,setuptoolsandtwine. We will need them for later to build our Python library.
pip install wheel
pip install setuptools
pip install twine或者也能够一条命了实现：
Or it can be done with one life:
sudo pip install wheel setuptools twine我用的是 MacOS 所以，Windows 的话，去掉 sudo。
I’m using MacOS so for Windows, get rid of Sudo.
第 3 步：创立文件夹构造「Step 3: Create a folder structure」
这一步，也就是创立咱们开发库所须要的文件。在 Pycharm 中，关上您的文件夹 mypythonlibrary（或你本人创立的文件夹名称）。它应该是这样的：
In Pycharm, open your folder mypythonlibrary (or any name you have given your folder). It should look something like this:
你当初能够开始向我的项目增加文件夹和文件。您能够通过命令提示符或在 Pycharm 自身中执行此操作。
You now can start adding folders and files to your project. You can do this either through the command prompt or in Pycharm itself.
- 创立一个名为
setup.py的空文件，这是创立 Python 库时最重要的文件之一！「Create an empty file calledsetup.py. This is one of the most important files when creating a Python library!」 - 创立一个名为
README.md的空文件，你能够在此处编写 Markdown 以向其余用户形容咱们的库内容。「Create an empty file calledREADME.md. This is the place where you can write markdown to describe the contents of your library for other users.」 - 创立一个名为
TuringRobots，或者任何您心愿在 pip 装置时调用 Python 库的文件夹。（如果你想稍后公布它，该名称在 pip 上应该是惟一的。）「Create a folder calledTuringRobots, or whatever you want your Python library to be called when you pip install it. (The name should be unique on pip if you want to publish it later.)」 - https://pypi.org/search/?q=TuringRobots 前面的 TuringRobots 批改成你本人的库名字，之后关上浏览器拜访，看是否有这个库。
- 在
TuringRobots文件夹外面，创立名为__init__.py的空文件。基本上，任何蕴含文件的__init__.py文件夹，在咱们构建它时，都将蕴含在库中。大多数状况下，您能够将__init__.py文件留空，也就是不必写代码。在导入时，其中的__init__.py外面的代码将被执行，因而它应该只蕴含可能运行我的项目所需的最大量代码。当初，咱们将它放弃原样。「Create an empty file insidemypythonlibthat is called__init__.py. Basically, any folder that has an__init__.pyfile in it, will be included in the library when we build it. Most of the time, you can leave the__init__.pyfiles empty. Upon import, the code within__init__.pygets executed, so it should contain only the minimal amount of code that is needed to be able to run your project. For now, we will leave them as is.」 - 此外，在
TuringRobots文件夹中，创立一个名为TuringRobots.py「Also, in the same folder, create a file calledTuringRobots.py.」 - 最初，在您的根文件夹中创立一个文件夹测试。在外面，创立一个空
__init__.py文件和一个空的test_myfunctions.py「And, finally, create a folder tests in your root folder. Inside, create an empty__init__.pyfile and an emptytest_myfunctions.py.」
你所创立的文件夹和代码文件，当初应如下所示：
Your set-up should now look something like this:
第 4 步：为您的库创立内容「Step 4: Create content for your library」
要将函数放入库中，您能够将它们放入 TuringRobots.py 文件中。例如，复制文件中的 TuringRobots 函数：
To put functions inside your library, you can place them in the
TuringRobots.pyfile. For example, copy the TuringRobots function in your file:
# -*- coding: utf-8 -*-
# @Time : 2022/6/18 11:34
# @Author : AI 悦创
# @FileName: TuringRobots.py
# @Software: PyCharm
# @Blog：https://bornforthis.cn/
import json
import urllib.request
import os
from dotenv import load_dotenv
def TuringRobots(text, over_print=True):
load_dotenv()
api_url = "http://openapi.tuling123.com/openapi/api/v2"
req = {
"reqType": 0,
"perception":
{
"inputText":
{"text": text},
"selfInfo":
{
"location":
{
"city": "厦门",
"province": "厦门",
"street": "海沧区"
}
}
},
"userInfo":
{"apiKey": os.getenv("API_KEY"),
"userId": "OnlyUseAlphabet"
}
}
# print(req)
# 将字典格局的 req 编码为 utf8
req = json.dumps(req).encode('utf8')
# print(req)
http_post = urllib.request.Request(api_url, data=req, headers={'content-type': 'application/json'})
response = urllib.request.urlopen(http_post)
response_str = response.read().decode('utf8')
# print(response_str)
response_dic = json.loads(response_str)
# print(response_dic)
intent_code = response_dic['intent']['code']
results_text = response_dic['results'][0]['values']['text']
if over_print:
print('Turing 的答复：')
print('code：' + str(intent_code))
print('text：' + results_text)
else:
return (str(intent_code), results_text)
if __name__ == '__main__':
text = input("请输出你的对话：")
code, content = TuringRobots(text, over_print=False)
print(code, content)下面实现了一个简略的机器人对话，对于 Python 测试，能够应用 pytest 和 pytest-runner 库。在虚拟环境中装置库：
A simple robot dialogue is implemented above, For testing with Python you can use the libraries
pytestandpytest-runner. Install the library in your virtual environment:
pip install pytest
pip install pytest-runner
pip install python-dotenv让咱们为我的项目创立一个小测试，测试如下：
Let’s create a small test for the project that looks like this:
TuringRobots_Tests.py
from TuringRobots import TuringRobots
def test_TuringRobots():
assert TuringRobots.TuringRobots("我是蠢才，那你呢？", over_print=True)最初，让咱们创立一个 setup.py 文件，它将帮忙咱们构建库。setup.py 的内容如下所示：
Finally, let’s create a
setup.pyfile, that will help us to build the library. A limited version ofsetup.pywill look something like this:
from setuptools import find_packages, setup
setup(
name='mypythonlib',
packages=find_packages(),
version='0.1.0',
description='My first Python library',
author='Me',
license='MIT',
)我的设置：【你们看简洁的配置即可】
# -*- coding: utf-8 -*-
# !/usr/bin/env python
# @Time : 2022/6/18 11:51
# @Author : AI 悦创
# @FileName: setup.py
# @Software: PyCharm
# @Blog：https://bornforthis.cn/
# Note: To use the 'upload' functionality of this file, you must:
# $ pipenv install twine --dev
import io
import os
import sys
from shutil import rmtree
from setuptools import find_packages, setup, Command
# Package meta-data.
NAME = 'TuringRobots'
DESCRIPTION = 'Simple dialogue test Turing robot.'
URL = 'https://github.com/AndersonHJB/TuringRobots'
EMAIL = 'bornforthis@bornforthis.cn'
AUTHOR = 'Bornforthis'
REQUIRES_PYTHON = '>=3.6.0'
VERSION = '1.2.5'
# What packages are required for this module to be executed?
REQUIRED = [# 'dotenv==0.0.5',]
# What packages are optional?
EXTRAS = {# 'fancy feature': ['django'],
}
# The rest you shouldn't have to touch too much :)
# ------------------------------------------------
# Except, perhaps the License and Trove Classifiers!
# If you do change the License, remember to change the Trove Classifier for that!
here = os.path.abspath(os.path.dirname(__file__))
# Import the README and use it as the long-description.
# Note: this will only work if 'README.md' is present in your MANIFEST.in file!
try:
with io.open(os.path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = '\n' + f.read()
except FileNotFoundError:
long_description = DESCRIPTION
# Load the package's __version__.py module as a dictionary.
about = {}
if not VERSION:
project_slug = NAME.lower().replace("-", "_").replace("","_")
with open(os.path.join(here, project_slug, '__version__.py')) as f:
exec(f.read(), about)
else:
about['__version__'] = VERSION
class UploadCommand(Command):
"""Support setup.py upload."""
description = 'Build and publish the package.'
user_options = []
@staticmethod
def status(s):
"""Prints things in bold."""
print('\033[1m{0}\033[0m'.format(s))
def initialize_options(self):
pass
def finalize_options(self):
pass
def run(self):
try:
self.status('Removing previous builds…')
rmtree(os.path.join(here, 'dist'))
except OSError:
pass
self.status('Building Source and Wheel (universal) distribution…')
os.system('python3 -m build')
# os.system('{0} setup.py sdist bdist_wheel --universal'.format(sys.executable))
# os.system('{0} setup.py sdist build --universal'.format(sys.executable))
# os.system('{0} setup.py sdist build --universal'.format(sys.executable))
self.status('Uploading the package to PyPI via Twine…')
os.system('twine upload dist/*')
self.status('Pushing git tags…')
os.system('git tag v{0}'.format(about['__version__']))
os.system('git push --tags')
sys.exit()
# Where the magic happens:
setup(
name=NAME,
version=about['__version__'],
description=DESCRIPTION,
long_description=long_description,
long_description_content_type='text/markdown',
author=AUTHOR,
author_email=EMAIL,
python_requires=REQUIRES_PYTHON,
url=URL,
# packages=find_packages(exclude=["tests", "*.tests", "*.tests.*", "tests.*"]),
# packages=find_packages(exclude=["TuringRobots",]),
packages=find_packages(include=["TuringRobots",]),
# If your package is a single module, use this instead of 'packages':
# py_modules=['mypackage'],
# entry_points={# 'console_scripts': ['mycli=mymodule:cli'],
# },
install_requires=REQUIRED,
# setup_requires=['pytest-runner'],
# tests_require=['pytest'],
# tests_require=['pytest', 'dotenv'],
test_suite='tests',
extras_require=EXTRAS,
include_package_data=True,
license='MIT',
classifiers=[
# Trove classifiers
# Full list: https://pypi.python.org/pypi?%3Aaction=list_classifiers
'License :: OSI Approved :: MIT License',
'Programming Language :: Python',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: Implementation :: CPython',
'Programming Language :: Python :: Implementation :: PyPy'
],
# $ setup.py publish support.
cmdclass={'upload': UploadCommand,},
)第 5 步：设置您想要创立的包「Set the packages you would like to create」
setup 中的 name 变量保留您心愿包轮文件具备的任何名称。为了不便起见，咱们将其命名为与文件夹雷同的名称。
The name variable in setup holds whatever name you want your package wheel file to have. To make it easy, we will gave it the same name as the folder.
尽管原则上 find_packages() 能够不带任何参数应用，但这可能会导致蕴含不须要的包。所以，咱们能够这么来写：
例如，如果您在 tests/ 目录中蕴含 __init__.py , 就会产生这种状况。另外，您也能够应用 exclude 参数显式地阻止在包中蕴含测试，然而这样做略微不那么强壮。让咱们把它改为如下:
from setuptools import find_packages, setup
setup(
name='mypythonlib',
packages=find_packages(include=['mypythonlib']),
version='0.1.0',
description='My first Python library',
author='Me',
license'MIT',
)第 6 步：设置库所需的要求「Set the requirements your library needs」
留神，当你的我的项目被其他人作为依赖项装置时，pip 不会应用requirements.yml/ requirements.txt。通常，为此，您必须在 setup.py 文件的 install_requires 和 tests_require 参数中指定依赖项。
Note that pip does not use
requirements.yml/requirements.txtwhen your project is installed as a dependency by others. Generally, for that, you will have to specify dependencies in theinstall_requiresandtests_requirearguments in yoursetup.pyfile.
Install_requires 应该仅限于相对须要的软件包列表。这是因为您不想让用户装置不必要的软件包。另请留神，你不须要列出属于规范 Python 库的包。
Install_requiresshould be limited to the list of packages that are absolutely needed. This is because you do not want to make users install unnecessary packages. Also note that you do not need to list packages that are part of the standard Python library.
如果你用的是 Python 自带的库，是能够不必写的，并且保障这个库是始终到当初的 Python 本版的能够应用的。兴许你还记得咱们 pytest、numpy 之前装置过这个库。当然，你不想在其中增加 pytest 依赖项。这个包的用户不须要它。为了仅在运行测试时主动装置它，您能够将以下内容增加到您的 setup.py：
from setuptools import find_packages, setup
setup(
name='mypythonlib',
packages=find_packages(include=['mypythonlib']),
version='0.1.0',
description='My first Python library',
author='Me',
license='MIT',
install_requires=[],
setup_requires=['pytest-runner'],
tests_require=['pytest==4.4.1'],
test_suite='tests',
)运行：将执行存储在“tests”文件夹中的所有测试。
python setup.py pytestRunning:
> python setup.py pytest
will execute all tests stored in the‘tests’folder.
上面是简略的代码测试输入：
(venv) aiyc@aiyc:~/Linux_Code/mypythonlibrary$ python setup.py pytest running pytest running egg_info creating mypythonlib.egg-info writing mypythonlib.egg-info/PKG-INFO writing dependency_links to mypythonlib.egg-info/dependency_links.txt writing requirements to mypythonlib.egg-info/requires.txt writing top-level names to mypythonlib.egg-info/top_level.txt writing manifest file 'mypythonlib.egg-info/SOURCES.txt' reading manifest file 'mypythonlib.egg-info/SOURCES.txt' writing manifest file 'mypythonlib.egg-info/SOURCES.txt' running build_ext ================================================================ test session starts ================================================================= platform linux -- Python 3.8.10, pytest-6.2.4, py-1.10.0, pluggy-0.13.1 rootdir: /home/aiyc/Linux_Code/mypythonlibrary collected 1 item tests/test_myfunctions.py .
第 7 步：构建你的库「Step 5: Build your library」
当初所有内容都已准备就绪，咱们要构建咱们的库。确保您以后的工作目录是 /path/to/mypythonlibrary（因而是我的项目的根文件夹）。在您的命令提示符中，运行：
Now that all the content is there, we want to build our library. Make sure your present working directory is
/path/to/mypythonlibrary(so the root folder of your project). In your command prompt, run:
python setup.py bdist_wheel您的轮文件存储在当初创立的“dist”文件夹中。您能够应用以下办法装置您的库：
Your wheel file is stored in the“dist”folder that is now created. You can install your library by using:
pip install /path/to/wheelfile.whl请留神，您还能够将您的库公布到您工作场合内联网上的外部文件系统，或公布到官网 PyPI 存储库并从那里装置它。装置 Python 库后，您能够应用以下命令导入它：
Note that you could also publish your library to an internal file system on intranet at your workplace, or to the official PyPI repository and install it from there.Once you have installed your Python library, you can import it using:
import mypythonlib
from mypythonlib import myfunctions我本人应用如下官网构建：
python3 -m pip install --upgrade buildpython3 -m build# 测试代码
python setup.py pytest
# 提交代码
python setup.py upload参考文章：
- 如何创立 Python 库
- https://packaging.python.org/en/latest/tutorials/packaging-projects/
- https://packaging.python.org/en/latest/specifications/pypirc/
- https://medium.com/analytics-vidhya/how-to-create-a-python-library-7d5aea80cc3f
- https://medium.com/@alexbebereche/how-to-hide-you-api-key-with-python-5cc63d2a6c45
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