Saravanan666/pypi-org huggingface dataset:
Package: acml
ACMLAdvanced Config Markup LanguageExplore the docs »PyPi·Report Bug·Request FeatureTable of ContentsAbout The ProjectBuilt WithGetting StartedInstallationUsageRoadmapContributingLicenseContactAcknowledgmentsAbout The ProjectACML is a custom markup language designed for creating complex configuration files with nested sections and key-value pairs. It allows users to organize their configuration data into different subsections, making it easy to manage and modify large configuration files.Here's why:With ACML, you can easily define subsections using the [section.subsection] syntax, and populate them with any number of key-value pairs. These key-value pairs can be simple strings, integers, floats, lists, and even JSON-style dictionaries.Of course, no one configuration format will serve all projects since your needs may be different. So I'll be adding more in the near future. You may also suggest changes by forking this repo and creating a pull request or opening an issue.Built WithACML is purely built off of Python, we chose Python for its flexibility and easy grammar so more people can contribute.(back to top)Getting StartedWe are hosted onPyPi, so you can sit back and relax by usingpip.InstallationBelow is an example of how you can instruct your audience on installing and setting up your app. This template doesn't rely on any external dependencies or services.Download Python and PIPOpen a command promptRun the following command:pip install ACML- This may work on most systemspy -m pip install ACML- Works 100% of the time on Windows 10+pip3 install ACML- Linux Distros(back to top)UsagefromACMLimport*config=parse("path/to/config.conf/")config["key"]["key2"]For more examples, please refer to theDocumentation(back to top)RoadmapAdd ParserAdd Read MeAdd LicenseAdd multiple config formatsAdd more testsSee theopen issuesfor a full list of proposed features (and known issues).(back to top)ContributingContributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make aregreatly appreciated.If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".
Don't forget to give the project a star! Thanks again!Fork the ProjectCreate your Feature Branch (git checkout -b feature/AmazingFeature)Commit your Changes (git commit -m 'Add some AmazingFeature')Push to the Branch (git push origin feature/AmazingFeature)Open a Pull Request(back to top)LicenseDistributed under the MIT License. SeeLICENSEfor more information.(back to top)ContactBrody Critchlow -thornily#6566Project Link:https://github.com/brodycritchlow/ACML(back to top)AcknowledgmentsUse this space to list resources you find helpful and would like to give credit to. I've included a few of my favorites to kick things off!Readme Template(back to top)
Package: acmp-utils
acmp_utilsTheacmp_utilsis a power packed utils repository to be used by ACMP teams for day to day development.Install & UsageYou can installacmp_utilsas follows to latest version:pip install acmp_utils --upgradeSpecific version:pip install acmp_utils==<version> --upgradeTo remove:pip uninstall acmp_utilsTry to have fun withacmp_utils:from multiply.by_three import multiply_by_three
from divide.by_three import divide_by_three

multiply_by_three(9)
divide_by_three(21)Useful ResourcesPackaging Python Projects¶Configuring setuptools using setup.cfg filesMIT LicenseCopyright (c) 2023 Pradeepta DindaPermission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Package: acmturtleoj
OJ Client for Python3 Turtle一、当遇到questype=9的题型时，需要访问(GET)：https://myproxy.acmcoder.com:4443/run如果返回：{result: "pong"}则表示客户端已经启动。否则：提示：请按照如下步骤启动客户端：
1、安装Python3
2、打开命令行，输入：pip3 install --upgrade acmturtleoj && python -c "import acmturtleoj;acmturtleoj.main()"
3、回车，当360提示是否阻止该操作时，一定要选允许该操作
4、保持窗口不关闭
5、切换到考试界面继续答题。二、往后端提交完代码后，需要访问(GET)：https://myproxy.acmcoder.com:4443/run?user_id=abc&guid=def&solution_id=3其中：
user_id：考生端为Cands.id；报告端为生成的guid；
guid：考生端为Cands.guid；报告端为生成的guid；
solution_id：考生端如果有，则加上，如果没有，则为0；报告端为solutionId。
如果成功，则返回：{result: "ok"}
Package: acnawebcli
Welcome to cli-toolsThis is a Python library for testingInstallationacnawebclisupports Python 3.8 and higher.System-wide or user-wide installation with pipxUse the package managerpipto installacnawebcli.$pipinstallacnawebcliUsageDevelopingDevelopment requires Python 3.8+; otherwise you'll get false positive type failures.To work on theacnawebclicode: pull the repository, create and activate a virtualenv, then run:makedevTestingmaketestPublishmakepushAuthor👤Antonio Carlos de Lima JuniorWebsite:https://www.linkedin.com/in/acnaweb/Github:@acnawebLinkedIn:@acnawebReferencesPypi ClassifiersPython Packaging TutorialA Practical Guide to Using Setup.py
Package: acnaweblib
Welcome to acnaweblibThis is a Python library for testingInstallationacnaweblibsupports Python 3.8 and higher.System-wide or user-wide installation with pipxUse the package managerpipto installacnaweblib.$pipinstallacnaweblibUsagefromacnaweblibimportcalculator# returns 6result=calculator.add(4,2)DevelopingDevelopment requires Python 3.8+; otherwise you'll get false positive type failures.To work on theacnaweblibcode: pull the repository, create and activate a virtualenv, then run:makedevTestingmaketestPublishmakepushAuthor👤Antonio Carlos de Lima JuniorWebsite:https://www.linkedin.com/in/acnaweb/Github:@acnawebLinkedIn:@acnawebReferencesPypi ClassifiersPython Packaging TutorialA Practical Guide to Using Setup.py
Package: acnportal
ACN PortalThe ACN Portal is a suite of research tools developed at Caltech to accelerate the pace of large-scale EV charging research.
Checkout the documentation athttps://acnportal.readthedocs.io/en/latest/.For more information about the ACN Portal and EV reasearch at Caltech check outhttps://ev.caltech.edu.ACN-DataThe ACN-Data Dataset is a collection of EV charging sessions collected at Caltech and NASA's Jet Propulsion Laboratory (JPL). This basic Python client simplifies the process of pulling data from his dataset via its public API.ACN-SimACN-Sim is a simulation environment for large-scale EV charging algorithms. It interfaces with ACN-Data to provide access to realistic test cases based on actual user behavior.algorithmsalgorithms is a package of common EV charging algorithms which can be used for comparison when evaluating new algorithms.This package is intended to be populated by the community. If you have a promising EV charging algorithm, please implement it as a subclass of BasicAlgorithm and send a pull request.InstallationDownload or clone this repository. Navigate to its root directory. Install using pip.pipinstall.TutorialsSee thetutorialsdirectory for jupyter notebooks that you can
run to learn some of the functionality ofacnportal. These
tutorials are also included on the readthedocs page. Additional
demos and case studies can be found athttps://github.com/caltech-netlab/acnportal-experimentsWe also have a video series ofacnportaldemos, which can
be found at TODO.Running TestsTests may be run after installation by executingpython-munittestdiscover-vRemove-vafterdiscoverto suppress verbose output.ContributingIf you're submitting a bug report, feature request, question, or
documentation suggestion, please submit the issue through Github and
follow the templates outlined there.If you are contributing code to the project, please view the
contributing guidelineshere.QuestionsContact the ACN Research Portal team atmailto:ev-help@caltech.eduwith any
questions, or submit a question through Github issues.
Package: acnutils
A collection of various scripts used by AntiCompositeNumber’s bots.Feel free to use this if you find it useful, however, no guarentees of stability are made.
Pull requests are welcome, but may be declined if they would not be useful for my bots or tools.This package depends on pywikibot. Some utilites also require a database connection via the toolforge libarary, to enable those installacnutils[db].Poetry is used for dependency management and package building. To set up this project, runpoetry install-Edb.
Package: aco
Ant Colony OptimizationImplementation of the Ant Colony Optimization algorithm in PythonCurrently works on 2D Cartesian coordinate systemInstallationFrom PyPipipinstallacoUsingPoetrypoetryaddacoUsageAntColony(nodes,start=None,ant_count=300,alpha=0.5,beta=1.2,pheromone_evaporation_rate=0.40,pheromone_constant=1000.0,iterations=300,)Travelling Salesman Problemimportmatplotlib.pyplotaspltimportrandomfromacoimportAntColonyplt.style.use("dark_background")COORDS=((20,52),(43,50),(20,84),(70,65),(29,90),(87,83),(73,23),)defrandom_coord():r=random.randint(0,len(COORDS))returnrdefplot_nodes(w=12,h=8):forx,yinCOORDS:plt.plot(x,y,"g.",markersize=15)plt.axis("off")fig=plt.gcf()fig.set_size_inches([w,h])defplot_all_edges():paths=((a,b)forainCOORDSforbinCOORDS)fora,binpaths:plt.plot((a[0],b[0]),(a[1],b[1]))plot_nodes()colony=AntColony(COORDS,ant_count=300,iterations=300)optimal_nodes=colony.get_path()foriinrange(len(optimal_nodes)-1):plt.plot((optimal_nodes[i][0],optimal_nodes[i+1][0]),(optimal_nodes[i][1],optimal_nodes[i+1][1]),)plt.show()ReferenceWikipediapjmattingly/ant-colony-optimization
Package: acondbs
AcondbsProductDB back-end APIHow to check out and run (for developers)Prepare environmentCreate a virtual environmentpython-mvenvvenvEnter the virtual environmentsourcevenv/bin/activateUpgrade pip (optional)pipinstall--upgradepipCheck outClone the repository from GitHubgitclonegit@github.com:simonsobs/acondbs.gitInstall from the clone in theeditable mode.pipinstall-eacondbs/[tests]ConfigureCreate an instance folder of Flask, where the config file and the SQLite DB file are stored. Check out an example instance folder from GitHubgitclonegit@github.com:TaiSakuma/acondbs-instance-example.gitinstanceSet environmental variablesexportFLASK_APP="acondbs:create_app('$PWD/instance/config.py')"exportFLASK_DEBUG=1Initialize databaseflaskinit-dbAn SQLite DB file has been created in the instance folder (instance/product.sqlite3). Tables were defined (The tables were empty. Only fields were defined. No data were inserted in the tables).Load sample data to DB (optional)(Optional) Load sample data to the dababase.flaskimport-csvacondbs/tests/sample/csv/RunRun with the Flask built-in server for the development. (Deployment options for proudction are descriped in theFlask documentation.)flaskrunThe above command starts the built-in server that only allows accress from localhost. It starts the server at the default TCP port, usually5000.To allow the access from outside, use--host=0.0.0.0option. The TCP port can be specified by--portoption. For example:flaskrun--host=0.0.0.0--port=5000Access to the server with cURLNow, you can send GraphQL requests to the server, for example, as follows.curl-d"query={allMaps { edges { node { name mapper } } }}"localhost:5000/graphqlAccess to the server with a web browserIf you access to the server with a web browser, it will show a graphical user interfaceGraphiQL:http://localhost:5000/graphqlUnit testMove to the repositorycdacondbsRun the unit testspytestRun the unit tests with coveragepytest--covGenerate the coverage reportcoveragehtmlThe report can be found atcoverage_html_report/index.html.
Package: acons
ACONSAn asynchronous command-line runner for use in async web-servers likefastapi.Sometimes, you want to run command-line utilities and expose the output to a web-server. However, it's a bit tricky to capture the console output while it's running, and also allow the web-client to kill the job mid-process.aconscan execute command-line processes as an async function, where output can be retrieved via another async function, and a kill signal can be sent at any time.Installpip install aconsrunFunction interface:run(command, run_dir=None, is_parse=False, job_id=None)command: str of command-line commandrun_dir: optional starting directory of the commandis_parse: optional flag to parse the output as tsv file into a list
of dictionariesjob_id: optional id that will be used toflush_linesandkill_jobTo use in an async function:await acons.run('ls', job_id='my-special-id-123')To test the output in a sync version:import acons
output = acons.sync_run('ls')flush_linesIn an async function:lines = await acons.flush_lines('my-special-id-123')This will return the console lines produced by the job since the last call toacons.flush_lineskill_jobIn an async function:`await kill_job('my-special-id-123')Sends the kill signal for the job.Parameters dacons.RUN_INTERVAL_IN_S = 0.2- determines how long the function polls for each intervalacons.SLEEP_INTERVAL_IN_S = 0.5- determines how long the function sleeps between intervalsacons.N_MAX_JOB = 100- maximum number of jobs that stores output using an LRU cacheExample serverA simple fastapi-server/vue-client is included that demonstratesaconsin action.Concurrent command-line commands can be typed in and executed. The console output will be piped back into the web-client, and the job can be cancelled at any time.When the job is completed, the entire console output is made available through the Monaco web-editor .Download the .zip version of this package, then run the server:./test-server.shwhich is essentially:uvicorn server:app --reload --port=5200Communication between client/server is via an rpc-json interface as described inrpcseed.
Package: aconsole
aconsoleAsynchorous Commandline like GUI for Python 3.Provides async await for print and input. It also supports having multiple awaiting inputs, which are queued and then processed one by one.
See:Multiple inputs awaiting.Other supported features:Canceling input.Changing color themeChaging transparencyControlsMouse for navigating the output.
Keys for input:[Enter] Submits input.
[Up/Down] Navigates input history.Keys for output:[Ctrl+C] Copy selected content.
[Ctrl+R] Clears output.DepenciesJust Python 3.6 or above. For GUI it uses Tkinter, which is built-in module in Python.Tested on: Mac, Linux and Windows.A Simple Exampleimportasyncioimportaconsoleif__name__=='__main__':loop=asyncio.get_event_loop()console=AsyncConsole()console.title('echo test')asyncdefecho():whileTrue:result=awaitconsole.input('echo to out: ')console.print('echo:',result)run_task=console.run(loop)loop.create_task(echo())loop.run_until_complete(run_task)# wait until window closedOther ExamplesAsync Chat ClientAsync Chat ServerSimple Math GameSimple asking programSimple asking program using sqlMultiple inputs awaiting
Package: acoomans_python_project_template
My Python Project=================[![Build](https://travis-ci.com/acoomans/python_project_template.svg?branch=master)](https://travis-ci.org/acoomans/python_project_template)[![Pypi version](http://img.shields.io/pypi/v/acoomans_python_project_template.svg)](https://pypi.python.org/pypi/acoomans_python_project_template)[![Pypi license](http://img.shields.io/pypi/l/acoomans_python_project_template.svg)](https://pypi.python.org/pypi/acoomans_python_project_template)![Python 2](http://img.shields.io/badge/python-2-blue.svg)![Python 3](http://img.shields.io/badge/python-3-blue.svg)Run tests:python setup.py test[distutils]index-servers =pypipypitest[pypi]repository=https://pypi.python.org/pypiusername=acoomans[pypitest]repository=https://testpypi.python.org/pypiusername=acoomans
Package: acopy
ACOpyAnt Colony Optimizationfor the Traveling Salesman Problem.Free software: Apache Software License 2.0Documentation:https://acopy.readthedocs.io.FeaturesUsesNetworkXfor graph representationSolver can be customized via pluginsHas a utility for plotting information about the solving processCLI tool that supports reading graphs in a variety of formats (includingtsplib95)Support for plotting iteration data using matplotlib and pandasACOpywas formerly called “Pants.”For now, only Python 3.6+ is supported. If there is demand I will add support for 3.4+.CreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.7.0 (2020-04-18)Bump all dependencies to latestFix minor display issue in the CLIAdd py37 to the tox config0.6.4 (2019-05-17)Fix the missingacopy.utilspackage problem0.6.3 (2019-05-17)Freshen up the dev dependenciesAdd the Python 3.7 classifierActually fix import issue0.6.2 (2019-02-02)Fix import issue0.6.1 (2018-10-07)Bump dependency on tsplib95 to 0.3.20.6.0 (2018-08-18)First release on PyPI asacopyComplete rewriteSupport fornetworkxSupport fortsplib95Customizable solverPlotting capabilitiesNow uses Apache 2.0 License (formerly GPLv3)Supports only python 3.6+0.5.2 (2014-09-09)Last release on the PyPI asACO-Pants
Package: acor
This is a direct port of a C++ routine byJonathan Goodman(NYU)
calledACORthat
estimates the autocorrelation time of time series data very quickly.Dan Foreman-Mackey(NYU) made a few surface changes to
the interface in order to write a Python wrapper (with the permission of the
original author).InstallationJust runpip install acorwithsudoif you really need it.Otherwise, download the source codeas a tarballor clone the git repository fromGitHub:git clone https://github.com/dfm/acor.gitThen runcd acor
python setup.py installto compile and install the moduleacorin your Python path. The only
dependency isNumPy(including thepython-devandpython-numpy-devpackages which you might have to
install separately on some systems).UsageGiven some time seriesx, you can estimate the autocorrelation time
(tau) using:import acor
tau, mean, sigma = acor.acor(x)Referenceshttp://www.math.nyu.edu/faculty/goodman/software/acor/index.htmlhttp://www.stat.unc.edu/faculty/cji/Sokal.pdf
Package: acore-conf
Welcome toacore_confDocumentation背景AzerothCore(acore) 是一个开源的魔兽世界模拟器, 其代码质量以及文档是目前 (2023 年) 我看来所有的开源魔兽世界模拟器中最好的. 它有一个.conf配置文件格式用于定义服务器的各种配置. 这个格式不是 acore 独有的, 而是所有的魔兽世界模拟器, 包括各个不同的资料片几乎都用的这个格式.How configuration files are composedauthserver.confworldserver.conf关于本项目本项目是一个简单的 Python 工具, 用于管理, 修改.conf文件. 使得开发者可以用业内比较通用的 JSON 格式对.conf进行修改.用法fromacore_conf.apiimportapply_changesapply_changes("/path/to/authserver.conf.dist","/path/to/authserver.conf",data={"worldserver":{"DataDir":"/home/azeroth-server/data"}},)Installacore_confis released on PyPI, so all you need is to:$pipinstallacore-confTo upgrade to latest version:$pipinstall--upgradeacore-conf
Package: acore-constants
Welcome toacore_constantsDocumentation由于 acore 项目过于复杂, 它由有非常多个开源子项目. 虽然这些项目之间已经尽量解耦了并且尽量保持互相独立, 不过他们之间总是需要引用一些常量. 所以我们单独开了一个项目来管理这些常量, 以供在其他项目中引用. 避免了这些子项目之间互相引用的麻烦.所有常量的列表以及详细描述请参考constants.py.Installacore_constantsis released on PyPI, so all you need is to:$pipinstallacore-constantsTo upgrade to latest version:$pipinstall--upgradeacore-constants
Package: acore-db-ssh-tunnel
Welcome toacore_db_ssh_tunnelDocumentation出于安全考虑, 通常数据库都会被部署到私网中, 是不允许直接从公网访问的. 为了能让开发者从工具配置齐全的开发电脑连接到数据库, 通常采用跳板机 +SSH Tunnel技术实现. 具体方法是用 SSH 和 EC2 的秘钥在本地机器上建立一个 tunnel, 所有本来要发送到 Database domain 的流量都发送到 127.0.0.1, 然后 SSH 会自动将流量发送到跳板机, 然后堡垒机再发送到 Database.本项目将创建, 关闭, 查看, 以及测试 SSH Tunnel 的方法封装成了一个 Python package, 以便于在 Python 代码中使用.用例fromacore_db_ssh_tunnelimportapidefcreate_ssh_tunnel():api.create_ssh_tunnel(path_pem_file=path_pem_file,db_host=db_host,db_port=db_port,jump_host_username=jump_host_username,jump_host_public_ip=jump_host_public_ip,)deflist_ssh_tunnel():api.list_ssh_tunnel(path_pem_file)deftest_ssh_tunnel():api.test_ssh_tunnel(db_port=db_port,db_username=db_username,db_password=db_password,db_name=db_name,)defkill_ssh_tunnel():api.kill_ssh_tunnel(path_pem_file)# edit the following variables to your owndb_host="my-server.1a2b3c4d5e6f.us-east-1.rds.amazonaws.com"db_port=3306db_username="admin"db_password="admin"db_name="my_database"jump_host_username="ubuntu"jump_host_public_ip="111.111.111.111"path_pem_file="/Users/myusername/ec2-key.pem"# create_ssh_tunnel() # run this first# list_ssh_tunnel() # then this# test_ssh_tunnel() # then this# kill_ssh_tunnel() # then clean upInstallacore_db_ssh_tunnelis released on PyPI, so all you need is to:$pipinstallacore-db-ssh-tunnelTo upgrade to latest version:$pipinstall--upgradeacore-db-ssh-tunnel
Package: acore-paths
Welcome toacore_pathsDocumentationAzerothcore 魔兽世界服务器上的文件目录结构定义. 你可以直接用import acore_paths.api as acore_paths来 import 这些路径, 并在业务代码中引用这些路径. 每一个路径都是一个pathlib.Path对象, 并且都是绝对路径. 该项目可以作为一个 Python 库供其他项目使用, 从而避免了重复定义目录结构的麻烦, 避免了手写路径时可能出现的错误, 一次发明, 到处使用.注:本项目支持 Python3.4+, 没有任何依赖.点击这里查看所有重要路径的定义.Usages>>>importacore_paths.apiasacore_paths>>>acore_paths.dir_...>>>acore_paths.path_...Installacore_pathsis released on PyPI, so all you need is to:$pipinstallacore-pathsTo upgrade to latest version:$pipinstall--upgradeacore-paths
Package: acore-server
Welcome toacore_serverDocumentation项目背景一个魔兽世界服务器由一个 EC2 游戏服务器 和一个 RDS DB Instance 数据库组成. 其中游戏服务器和数据库的配置信息, 例如账号密码, 机器的 CPU 内存大小, 都由acore_server_metadata这个库管理. 而对于 EC2 和 RDS 的 metadata, 例如 IP 地址, host, 在线状态, 以及对其进行创建, 启动, 停止, 删除等操作则是由acore_server_config这个库管理. 要想远程运行 GM 命令, 则需要用到acore_soap_app这个库. 要想在本地进行数据库应用开发, 则需要用到acore_db_ssh_tunnel这个库.本项目则是将以上四个库整合到一起, 用acore_server.api.Server作为一个统一的入口, 以便于在一个项目中同时使用以上四个库. 并且在对这些子库的 API 调用进行了封装, 将跟 Server 相关的参数都封装起来, 使得我们可以用最少的参数, 方便地调用这些子库的 API.Installacore_serveris released on PyPI, so all you need is to:$pipinstallacore-serverTo upgrade to latest version:$pipinstall--upgradeacore-server
Package: acore-server-config
Welcome toacore_server_configDocumentation📔完整文档点这里项目背景在生产环境中一个 “魔兽世界服务器” 通常有多个 “大区”, 亚洲, 北美, 美国西部, 美国东部等. 每个 “大区” 下有多组服务器, 一个服务器也就是我们在选择服务器见面看到的 Realm, 比如国服著名的 “山丘之王”, “洛萨” 等. 每个服务器都有自己的配置, 例如数据库账号密码等. 那么如何对这么多服务器的配置进行管理呢? 本项目就是为了解决这个问题而生的.下面我们来看看具体需求.从开发者的角度看, 我们需要对服务器集群配置进行批量管理和部署. 而我们希望将服务器本身和配置数据分离, 以便于在不重新部署服务器的情况下更新配置. 根据上一段提到的服务器层级架构, 我们需要一个树状的数据结构来定义这些服务器的配置. 例如一个大区有它默认设置. 在这个大区下的所有服务器如果没有特别说明, 则沿用大区默认设置. 如果有特别说明则用特别说明的设置. 所以我们这个项目需要解决批量管理的功能. 幸运的是, 我以前为企业做的一个项目中有一个按树状结构, 批量管理多个环境的配置的模块config_patterns刚好可以解决这一问题.而从服务器的角度看, 出于安全考虑, 每个服务器只要知道自己的配置即可, 不需要知道其他服务器的配置. 所以我们需要一个脚本用于“自省”(自己判断自己是谁, 去哪里读取配置数据) 并读取属于自己这个服务器的配置数据. 这个脚本只需要能在服务器上运行即可.为了解决以上两个需求, 我创建了这一项目. 请阅读完整文档做进一步了解.