Saravanan666/pypi-org huggingface dataset:
Package: servertools
servertoolsprovide some tools to identify servers and fix some specific problems.Early Development:Please note that this project is in planning/early development phase!
Many things might not work or not even exist the way you would expect.InstallingUse this command to install the latest version from PyPI.org:` pip3 install servertools `ContributingThank you for your interest in contributing to our code!
Please take a moment and read [our Contributing Guide](Contributing.md) to get you started!VersioningWe use [SemVer](http://semver.org/) for versioning. For the versions available,
see the [releases on this repository][github-releases].AuthorsMicha Grandel-Author and maintainer- [Github][github]We thank all of our [contributors][github-contributors], who participated in this project.LicenseThis project is licensed under the Apache 2.0 License - see the [LICENSE](LICENSE)
file for details[github]:https://github.com/michagrandel[github-releases]:https://github.com/michagrandel/servertools/releases[github-contributors]:https://github.com/michagrandel/servertools/graphs/contributors[python]:https://www.python.org/downloads/[pip]:https://pypi.python.org/pypi/pip[flask]:http://flask.pocoo.org[gitflow]:https://danielkummer.github.io/git-flow-cheatsheet/[gitflow-model]:http://nvie.com/posts/a-successful-git-branching-model/
Package: serverwamp
serverwampAddsWeb Application Messaging Protocolfeatures to
WebSocket servers.serverwampmakes it easy to both serve requests from
clients and push events to clients over a single connection. Currently supports
ASGI servers using asyncio or Trio and aiohttp servers.DocumentationUsage Exampleimportasynciofromaiohttpimportwebimportserverwampdocs_api=serverwamp.RPCRouteSet()docs_events=serverwamp.TopicRouteSet()@docs_api.route('docs.getDoc')asyncdefget_doc(document_id):record=awaitmy_db.retrieve(document_id)return{'status':'SUCCESS','doc':record}@docs_api.route('docs.deleteDoc')asyncdefdelete_doc(document_id):succeeded=awaitmy_db.delete(document_id)ifsucceeded:return{'status':'SUCCESS'}returnserverwamp.RPCErrorResult('wamp.error.delete_failed',kwargs={'status':'FAILURE'})@docs_events.route('docs.changes')asyncdefsubscribe_to_doc_changes(session,changes_subscribers):changes_subscribers.add(session)session.send_event(args=('Thanks for subscribing!',))yieldchanges_subscribers.remove(session)asyncdefserver_context(app):asyncdefwatch_for_docs_changes():asyncforeventinmy_db.watch_changes():forsessioninapp['changes_subscribers']:awaitsession.send_event(f'Document changed:{event}')watcher=asyncio.create_task(watch_for_docs_changes())try:yieldfinally:watcher.cancel()if__name__=='__main__':changes_subscribers=set()app=serverwamp.Application()app.add_rpc_routes(docs_api)app.add_topic_routes(docs_events)app.set_default_arg('changes_subscribers',changes_subscribers)http_app=web.Application()http_app['changes_subscribers']=changes_subscribershttp_app.add_routes((web.get('/',app.aiohttp_websocket_handler()),))http_app.cleanup_ctx.append(server_context)web.run_app(http_app)DevelopmentUnit tests can be run with:pip install -e .
pytest
Package: serve-swagger
provides a simple mechanism to locally
serve your swagger.io spec filesInstallationpip install serve-swaggerUseageyou can pass in a local fileserve-swagger my-spec.yamland now you can visit it athttp://localhost:5000if you want to share your site on your local network
you will need to specify the hostserve-swagger --host=0.0.0.0 c:\users\joran\demo\my_spec.yamlnow anyone can go to your network ip athttp://10.10.X.Y:5000and view your API docsyou can also specify the portnumberserve-swagger -p 8080 api-spec.jsonthis would expose the server on port 8080 (http://localhost:8080)usage: serve-swagger [-h] [-p [PORT]] [-s [HOST]] [-v] [swagger_spec_file]

positional arguments:
  swagger_spec_file     a local swagger spec file, or a url that serves a
                        swagger spec file

optional arguments:
  -h, --help            show this help message and exit
  -p [PORT], --port [PORT]
                        the port to serve on
  -s [HOST], --host [HOST]
                        the host interface to serve on
  -v, --debug           run flask in debug mode
Package: servey-stub
Servey StubThis project uses code generation to build python libraries containing service stubs for servey services.
The objective is to allow multiple services to coordinate without having details of whether the code for
other services...Is in the same python containerIs based on AWS lambdaIs accessed via httpRationaleA lot of people have strong opinions on the Microservice vs Monolith debate, and the technologies involved mean
we frequently end up with the downsides of both and the benefits of neither. This project is an attempt to reign in
the chaos, at least in the context ofserveyprojects.Ideally, I want to be in a position where I can host and test with minimal configuration and external dependencies,
while still being able to take advantage of a microservice architecture in a production environment. It would be nice
to not have to run a server for each microservice when in a local development environment, but instead to be able
to rely on pre-built stubs.I generally dislike code generation as a practice, but in this case using code generation means we can take advantage
of code completion available in most modern IDEs.I think the best practice is still to layer projects, with higher layers have stubs only for the projects in layers
below them. (rather than a self referencing free for all)Installationpip install servey-stubUsageAll commands should be run in the project directory for your servey project.--nameparameters specifies the name of the output project / module (Defaults to the current SERVEY_MAIN
environment variable).--dirspecifies the output directory in which the generated project directory should be placed (Defaults to ./dist)Any action which has a web trigger will be stubbed. (Since it indicates that the action can be invoked externally).
Actions can be limited by name with--only, or excluded with--excludeLambdaGenerates / Updates a service stub project directory for invoking actions as AWS lambdas, and places it in the specified
output directory.python -m servey_stub --mode=lambdasYields:/servey_stub/my-service-lambdas/...HTTPGenerates / Updates a service stub project directory for invoking actions over http, and places it in the specified
output directory.python -m servey_stub --mode=http --server_url=https://foo.com/barYields:/servey_stub/my-service-http/...TODO: We need to support some sort of authentication / authorization here (Probably oauth). These will need to be from
the enviroment.
e.g.: --headers=val:foo:bar,env:foo:barPassing authentication may present an issue - will need to encode - and if we encode, we need a key which the client
respects.MockGenerates a service stub for invoking actions as mocks, and places it in the output directory. The mocks are
based on definitions in the servey actions and the servey_mainpython -m servey_stub --mode=mock --outdir=outputYields:/output/my-service-mock/...ExampleRelease ProcedureThe typical process here is:Create a PR with changes. Merge these to main (TheQualityworkflows make sure that your PR
meets the styling, linting, and code coverage standards).New releases created in github are automatically uploaded to pypi
Package: service-allocation
service-allocationservice-allocationis a simple utility that generates a CSV file containing
the services (LXD, Bare-metal) allocation from an Charmed OpenStack Cloud.Installation$ pip install service-allocationUsage$ juju status --format yaml > status.yaml
$ service-allocation ./status.yaml > allocation.csvImport the resulting csv file into a spreadsheetImported spreadsheet sampleAfter importing the csv file into a spreadsheet you'll get a table like the following:HostBaremetalContainernagios-1nagios/0grafana-1grafana/0landscapeha-1landscape-haproxy/0landscapesql-1landscape-postgresql/0landscapeamqp-1landscape-rabbitmq-server/0elastic-2elasticsearch/0landscape-3landscape-server/0landscapeamqp-3landscape-rabbitmq-server/1landscapesql-2landscape-postgresql/1prometheus-3prometheus/0graylog-2graylog/0graylog-mongodb/0landscape-1landscape-server/1landscapeamqp-2landscape-rabbitmq-server/2elastic-3elasticsearch/1landscape-2landscape-server/2elastic-1elasticsearch/2graylog-1graylog/1graylog-mongodb/1graylog-3graylog/2graylog-mongodb/2controller1ubuntu-controllers-stub/0aodh/0 ceilometer/0 ceph-mon/0 cinder/0 designate/0 memcached/0 glance/0 gnocchi/0 heat/0 keystone/0 mysql/0 neutron-api/0 nova-cloud-controller/0 openstack-dashboard/0 rabbitmq-server/0 ceph-radosgw/3controller2ubuntu-controllers-stub/1aodh/1 ceilometer/1 ceph-mon/1 ceph-radosgw/1 cinder/1 designate/1 memcached/1 glance/1 gnocchi/1 heat/1 keystone/1 mysql/1 neutron-api/1 nova-cloud-controller/1 openstack-dashboard/1 prometheus-ceph-exporter/0 prometheus-openstack-exporter/0 rabbitmq-server/1controller3ubuntu-controllers-stub/2aodh/2 ceilometer/2 ceph-mon/2 ceph-radosgw/2 cinder/2 designate/2 glance/2 gnocchi/2 heat/2 keystone/2 mysql/2 neutron-api/2 nova-cloud-controller/2 openstack-dashboard/2 openstack-service-checks/0 rabbitmq-server/2compute1nova-compute-kvm/0compute2nova-compute-kvm/1compute3nova-compute-kvm/2compute4nova-compute-kvm/3compute5nova-compute-kvm/4compute6nova-compute-kvm/5compute7nova-compute-kvm/6compute8nova-compute-kvm/7compute9nova-compute-kvm/8compute10nova-compute-kvm/9compute11nova-compute-kvm/10compute12nova-compute-kvm/11storage1ceph-osd/0storage2ceph-osd/1storage3ceph-osd/2
Package: service-bindings
client-pythonclient-pythonis a library to accessService Binding Specification for Kubernetesconformant Service BindingWorkload Projections.Exampleimportpsycopg2aspsycopg2frombindingsimportbindingsb=bindings.from_service_binding_root()b=bindings.filter(b,"postgresql")iflen(b)!=1:raiseValueError("Incorrect number of PostgreSQL bindings:%s"%len(b))u=b[0].get("url")ifuisNone:raiseValueError("No URL in binding")conn=psycopg2.connect(u)# ...LicenseApache License v2.0: seeLICENSEfor details.
Package: serviceboot
ServiceBoot云原生微服务引擎ServiceBoot是基于Tornado开发的开源微服务引擎（Web框架），可用于将普通Python程序封装成为可提供高并发函数式HTTP访问的云原生微服务。ServiceBoot实现了对高并发HTTP API调用的函数化和异步化封装。开发者直接以普通Python函数的形式来编程API接口，而不需要特意设计和指定每个API对应的URL端口，也不需要掌握和使用Python和Tornado中晦涩难懂的异步编程原理和语法，即可达到高效并发处理的性能和效果，从而大大降低微服务应用的学习门槛和开发难度，提高云原生微服务应用的开发效率和运行性能。ServiceBoot目前可提供的API接口类型和功能如下：普通RESTful API（面向JSON数据格式）。二进制字节流数据API。文件上传API。可视化Web页面访问API。Special API。WebSocket实时通信API。在启动ServiceBoot服务时，还可根据配置启动开发者自定义的Python前端服务，例如: Gradio, Streamlit等。开源主页https://openi.pcl.ac.cn/cubepy/serviceboot依赖包主页https://pypi.org/project/serviceboot依赖包安装pip install serviceboot -i https://pypi.tuna.tsinghua.edu.cn/simple应用举例CubePy微服务框架CubeAI智立方CubeAI模型示范库
Package: service-bootstrap
service-bootstrapHelper for starting up a service in pythonFunctionstart_service()Usage:frombootstrap.bootstrapimportstart_serviceconfig,logger,timezone=start_service()Configurationstart_service()will look for a config YAML file and load it into a dict,
using the following algorithm:if the env variableCONFIGis defined, it will be used to determine the location of the config fileotherwise a file./config.yamlis expected to be presentThe file will be parsed and returned as a first returned variableLoggingstart_service()will configure the logger will in the following way:if./logging.yamlexists, it will be loaded into a dict and used to configure logging (usingdictConfig)otherwise the default logging format will be applied, which is defined as writing logs on INFO level to stdoutAdditionally,start_service()will look for./loglevels.yamlfile with the following structure:'apscheduler.scheduler':'ERROR','apscheduler.executors.default':'WARN'and use this file to configure per-logger log levels. Note that the settings two mentioned above
('apscheduler.scheduler': 'ERROR'and'apscheduler.executors.default': 'WARN') will be used as a
default.Finally,start_service()will create a logger calledmain, log two messageslogger.info("Starting application!")logger.info("Your timezone is%s"%timezone)and return this logger as a second returned variableTimezoneThe third returned variable will contain the local timezone as a string (f.exEurope/Warsaw), detected using
the following algorithm:if the env variableTIMEZONEis defined, it will be usedotherwise timezone will be autodetected usingtzlocalNote on YAML loadingAll yaml files are loaded usingload_yaml()and may contain env variables!Functionload_yaml()Usage:frombootstrap.utilsimportload_yamlcontent=load_yaml("file.yaml")It will load the content offile.yamlinto a dict resolving ENV variables
Package: servicecatalog-product-maker
service catalog product builderbuilds AWS CloudFormation templates that can be used as a seed for Service Catalog productsUsagemake-me-aservicecatalog-product-maker make-me-a ${REGION} AWS::S3::Bucket --include-optional
servicecatalog-product-maker make-me-a ${REGION} AWS::S3::Bucket --no-include-optionalmake-me-allservicecatalog-product-maker make-me-all ${REGION} --include-optional output
servicecatalog-product-maker make-me-all ${REGION} --no-include-optional output
Package: servicecatalogtordf
servicecatalogtordfA library that will map a service catalog (cpsv) to rdfThe library contains helper classes for the following cpsv and related classes:PublicServicePublicOrganizationLegalResourceRuleEvidenceEventUsageInstall%pipinstallservicecatalogtordfGetting startedfromdatacatalogtordfimportCatalog
fromservicecatalogtordfimportPublicOrganization,Service# Create catalog objectcatalog=Catalog()catalog.identifier="http://example.com/catalogs/1"catalog.title={"en":"A service catalog"}catalog.publisher="https://example.com/publishers/1"# Create a service:service=Service("http://example.com/services/1")service.title={"nb":"inntektsAPI","en":"incomeAPI"}# Create a public organization:public_organization=PublicOrganization("https://example.com/publishers/1")# Add it to the service:service.has_competent_authority=public_organization## Add service to catalog:catalog.contains_services.append(service)# Get rdf representation in turtle (default)rdf=catalog.to_rdf()print(rdf)DevelopmentRequirementspyenv(recommended)pipx(recommended)poetrynoxnox-poetry%pipxinstallpoetry==1.1.7
%pipxinstallnox==2021.06.12
%pipxinjectnoxnox-poetryInstall locally%gitclonehttps://github.com/Informasjonsforvaltning/servicecatalogtordf.git
%cdservicecatalogtordf
%pyenvinstall3.8.12
%pyenvinstall3.9.10
%pyenvlocal3.8.123.9.10
%poetryinstallRun all sessions%noxRun all tests with coverage reporting%nox-rstestsDebuggingYou can enter intoPdbby passing--pdbto pytest:nox-rstests----pdbYou can set breakpoints directly in code by using the functionbreakpoint().
Package: serviceCCOVE
demo介绍first !软件架构软件架构说明安装教程xxxxxxxxxxxx使用说明xxxxxxxxxxxx参与贡献Fork 本仓库新建 Feat_xxx 分支提交代码新建 Pull Request特技使用 Readme_XXX.md 来支持不同的语言，例如 Readme_en.md, Readme_zh.mdGitee 官方博客blog.gitee.com你可以https://gitee.com/explore这个地址来了解 Gitee 上的优秀开源项目GVP全称是 Gitee 最有价值开源项目，是综合评定出的优秀开源项目Gitee 官方提供的使用手册https://gitee.com/helpGitee 封面人物是一档用来展示 Gitee 会员风采的栏目https://gitee.com/gitee-stars/
Package: servicecontrol
servicecontrol is a script intended to perform a number of functionsallow one program  to turn on/off any other programlog output of that programrestart program if it crashes (for whatever reason)monitor that program’s resource utilisation and reboot if necessarySyntaxThe syntax is:servicecontrol <paramters> "<program with its own parameters>"As usual you can get help by typing:serviceconrol --helpWhich will produce the built-in help on the available syntax:usage: servicecontrol.py [-h] [--start] [--addr ADDR] [--port PORT]
                         [--no-echo] [--autorestart] [--cpurestart CPURESTART]
                         [--log LOG] [-i]
                         cmd

positional arguments:
  cmd                   The command to parse

optional arguments:
  -h, --help            show this help message and exit
  --start               Immediately start software (do not wait for start())
  --addr ADDR           xmlrpc address, default=localhost
  --port PORT           xmlrpc port, default=9001
  --no-echo             Do not display output to stdout
  --autorestart         Restart on crash
  --cpurestart CPURESTART
                        Set CPU threshold to automatically restart service at
  --log LOG             Filename to log to (default is None - stdout only)
  -i, --interact
Package: service-days
service-daysA tool to help calculate the number of service days between two dates given a service schedule.Table of ContentsConceptsInstallationLicenseMiscellanyConceptsThere are many libraries that will find the number work days between two dates, but what
if you don't work Monday to Friday? What if your schedule is Monday, Thursday, Saturday?This library calls that 3 day work schedule "service days"; as in, there are 3  "service days" in a given week.It will calculate the number of service days between two dates given a service schedule.service-daysis a library that will calculate the number of service days between two datesToolsAdd DaysGiven a date and a service schedule, addxnumber of days to get to the next service day.Days in PeriodGiven a start date and an end date, calculate the number of service days in that period.Convert JSON formatted text list, to list of daysGiven a JSON formatted list of days, convert it to a list of days.e.g.'["Mon", "Tue"]'Explanation / UsageThis is a quick explanation, may not be 100% accurate.  See the tests for more examples,
and examples of how the methods are used.Installationpip install service-daysLicenseservice-daysis distributed under the terms of theMITlicense.MiscellanyLoggingUses standard Python logging, with the nameservicedaysTo make quiet in your code do the followings_logger=logging.getLogger('servicedays')s_logger.setLevel(logging.WARNING)HatchThis is my first attempt at usinghatchto manage a Python project. I'm not sure if I'm doing it right, but I'm trying. If you have any suggestions, please let me know. Thanks!
Package: service-factory
JSON RPC service factory for Python.UsageService factory in a nutshell:fromservice_factoryimportservice_factorydefadd(one,two):"""Add two numbers."""returnone+twodefmul(one,two):"""Multiply two numbers."""returnone*twoapp=[add,mul]if__name__=='__main__':service_factory(app,host='localhost',port=0)Run this as usual python file:$pythoncalc.pyservicefactorystartsatport9001See it works:$curl-XPOST-d'{"jsonrpc": "2.0", "method": "add", "params": [1, 2], "id": 1}'-H'Content-Type:application/json;'http://localhost:9001/You can use any callable list from arbitrary module to run your
application:$python-mservice_factorycalc:app--host=localhost--port=auto# or$service_factorycalc:app--host=localhost--port=autoTODOprocess all errors codesbatch processingnotificationsWSGI providertornado provideraiohttp provider–port-file optionconsole entry pointmake providers act as context managersuser_error(code, message, data=None)WSGI authorizationsphinx docsDjango user permissions for rpc methodCelery service implementationRQ service implementationChangelog0.1.5 (2016-10-09)Zip unsafe for setuptools.0.1.4 (2016-09-02)Use 0 port value for automatic port detection.0.1.3 (2016-08-25)Removesixlibrary from install requires.0.1.2 (2015-03-05)Remove allowed hosts parameters fromservice_factoryfunction.0.1.1 (2015-03-05)Remove wildcard parameters fromservice_factoryfunction.  This
fixprovider_clsresolution issue.0.1.0 (2015-03-04)Initial release.
Package: service-flower
[![Build Status](https://travis-ci.org/puntonim/service-flower.svg?branch=master)](https://travis-ci.org/puntonim/service-flower)# Flower service clientThis package is service client for Flower API used to monitor Celery.## Client usage```python# Configure settings.import service_flower.confd = dict(BASE_URL='https://inspire-qa-worker3-task1.cern.ch/api',REQUEST_TIMEOUT=30,HTTP_AUTH_USERNAME='user',HTTP_AUTH_PASSWORD='pass',)service_flower.conf.settings.configure(**d)# Use the client.from service_flower.client import FlowerClientclient = FlowerClient()response = client.get_workers(workername='celery@inspire-qa-worker3-task5.cern.ch')response.raise_for_result()queues = response.get_active_queues_names('celery@inspire-qa-worker3-task5.cern.ch')```## Development```bash# Create a venv and install the requirements:$ make venv# Run isort and lint:$ make isort$ make lint# Run all the tests:$ make test  # tox against Python27 and Python36.$ tox -e py27  # tox against a specific Python version.$ pytest  # pytest against the active venv.# Run a specific test:$ make test/tests/test_client.py  # tox against Python27 and Python36.$ tox -e py27 -- tests/test_client.py  # tox against a specific Python version.$ pytest tests/test_client.py  # pytest against the active venv.```To publish on PyPi, first set the PyPi credentials:```bash# Edit .pypirc:$ cat $HOME/.pypirc[pypi]username: myuserpassword: mypass``````bash# Edit the version in `setup_gen.py`.# ... version=pep440_version('1.1.1'),# Then generate setup.py with:$ make setup.py# Commit, tag, push:$ git commit -m '1.1.1 release'$ git tag 1.1.1$ git push origin master --tags# Finally publish:$ make publish```
Package: serviceform
ServiceformWeb application for collecting data from volunteers of willingness to participate.DocumentationUser / server admin guides:Production guide with DockerDeveloper guides:General developer guideInstall as Django application to your projectLICENSECopyright (C) 2017 Tuomas AiraksinenServiceform is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.Serviceform is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.You should have received a copy of the GNU General Public License
along with Serviceform.  If not, see <http://www.gnu.org/licenses/>.For more information,see LICENSE.txt
Package: servicefoundry
ServiceFoundryServiceFoundry is a client library that allows you to containerize and deploy your Machine Learning model (or other
services) to a managed Kubernetes Cluster. This also generates a Grafana cluster with complete visibility of your
Service Health, System Logs, and Kubernetes Workspace.It is available both as a command-line-interface and via APIs that allow you to deploy directly from your Jupyter
Notebook.You can access the health of your service, monitoring links and deployed endpoints by logging on to TrueFoundry's
dashboard.Installationpip install -U servicefoundryDocumentationhttps://docs.truefoundry.com/