معرفی شرکت ها

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

A command called catalog and foo for the cloudmesh shell

ویژگی	مقدار
سیستم عامل	-
نام فایل	cloudmesh-catalog-4.3.4
نام	cloudmesh-catalog
نسخه کتابخانه	4.3.4
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Gregor von Laszewski
ایمیل نویسنده	laszewski@gmail.com
آدرس صفحه اصلی	https://github.com/cloudmesh/cloudmesh-catalog
آدرس اینترنتی	https://pypi.org/project/cloudmesh-catalog/
مجوز	Apache 2.0

# Cloudmesh Catalog Cloudmesh catalog can be used to store information about a service, software component, or project. The information included in it can be categorized so that a comparision is possible. The catalog is implemented as REST service so it can be integrated in other projects and searched programatically. The catalog depends on the cloudmesh command shell which allows eay integration of new commands line environment. It projects a sample Interface for the catalog from the commandline We also can create static web pages from the catalog while using the export feature and integrating the pages in for example hugo. We are currently exploring hugo docsy as it provides an easy way to generate hirarchical web pages, but also leverages hugos tags and categories. Other export formats include markdown and bibtex. ## Instalation for developers 1. If you do not have yet create an ssh key and upload it to the github repository. ```ssh-keygen``` Upload the `~/.ssh/id_rsa.pub` key to github 2. Download cloudmesh with its source repositories Make sure you ave python 3.10.2 On Mac or Linux do ```bash $ python3.10 -m venv ~/ENV3 $ source ~/ENV3/bin/activate ``` On Windows ```bash $ py --version # make sure its 3.10.2 $ py -m venv ~/ENV3 $ source ~/ENV3/bin/activate ``` After that the instalation is the same on all operating systems. ```bash $ mkdir cm $ cd cm $ pip install cloudmesh-installer $ cloudmesh-installer -ssh install catalog $ cms help ``` This will download all source code for the cloudmesh shell and compile from source. 3. Now you are all ready to do programming and enhancing cloudmesh-catalog If you have any issues, contact laszewski@gmail.com ## Manual page A manual pasge shoudl be implemented in `cloudmesh-catalog/catalog/command/catalog.py` This manual page can be displayed with the following command: ```bash $ cms help catalog help ``` To just see the usage type in ```bash $ cms catalog ``` ## Managing the Service TODO: The integration of data into the service is not yet completed. TODO: service management on Windows is not yet completed. On Linux and macOS we can already experiment with an early prototype that allows us starting, sopping, and getting the status of the service. This service has nnot yet been integrated with a database. ## BUG TODO: The adat is not yet integrated and we like to use cloudmesh/yamldb for it. ## Adding catalog and registry data TODO: To add catalog and registry data for new services, one must create new .yaml files in the appropriate folders: 'data/catalog/my_example.yaml' and 'data/registry/my_example.yaml'. Each file must follow yaml formatting similar to the following example. Example file: Amazon Comprehend (Catalog), amazon_comprehend.yaml ``` --- id: amazon_comprehend: name: Amazon Comprehend title: Amazon Comprehend author: Amazon slug: amazon-comprehend public: true description: | Comprehend is Amazon's solution for cloud-based NLP. It is available with an AWS account. To use, it requires use of either the AWS Command Line Interface or an AWS SDK for Python, Java, or .NET. Notable features include functionality for giving batches of documents to be processed as well as submission of multiple jobs in a list. The DetectEntities function also allows use of a custom-trained model, but many other functions do not. version: unknown license: unknown microservice: no protocol: AWS API owner: Amazon Web Services modified: 9/29/2021 created: 11/29/2017 documentation: https://docs.aws.amazon.com/comprehend/index.html source: unknown specification: unknown tags: ["nlp", "nlp service", "machine learning", "cloud service", "nlp api", "deep learning", "natural language processing", "artificial intelligence"] categories: ["NLP"] additional_metadata: unknown endpoint: unknown sla: https://aws.amazon.com/machine-learning/language/sla/ authors: The AWS team can be contacted through support ticket at https://aws.amazon.com/contact-us/ data: | User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/ ``` ## Using the Catalog and Registry classes Written in catalog.py and registry.py are classes capable of reading and storing the data written in the .yaml files. Both use the same interface. Here is an example of the Catalog class in action: ``` # initialize the catalog using data found in the given directory catalog = Catalog('data/catalog/') # query the catalog for Amazon Comprehend data, save result to amazon_catalog_data amazon_catalog_data = cat.query({'name': 'Amazon Comprehend'}) # add a new data file to the catalog catalog.add('new_example/azure_language.yaml') # save entire catalog to a pickle file catalog.to_pickle('catalog.pkl') # load from pickle file catalog.from_pickle('catalog.pkl') # print catalog data print(catalog.data) ``` ## Using the yaml to markdown conversion script The catalog command includes several prototype export formats that takes all files recursively in a directory or an explicit file and converts it to the specified output This includes ```bash cms catalog export bibtex --souce=SOURCE cms catalog export hugo --souce=SOURCE cms catalog export md --souce=SOURCE ``` The commands will create next to the yal file entreies for bibtex, hugo markdown, and markdown. The templates are just suggestions and we may improve them based on our findings. ## Checking entries It is very important that any entry be checked for minimal yaml complience. Hence we implemented a command ```bash cms catalog check --souce=SOURCE ``` which will check all file sin the specified directory. THIs check will ignore line legth limits if the line contains an http or https refernce. We also check the data format for YYYY-MM-DD. We know that it may be problematic to distingush automatically between YYYY-MM-DD and YYYY-DD-MM. Hence we encourage you to be careful when adding entries. ## Developer Video Tutorials We are providing a number of developer video tutorials that help undesrtanding how we develop code and leverage the cloudmesh-cmd5 shell features: * [Cloudmesh Catalog. Who to improve the check feature](https://www.youtube.com/watch?v=OkuYxky2TFo) * [Cloudmesh Catalog. Overview of the converter](https://www.youtube.com/watch?v=4bKvA3RhWaU) * [Cloudmesh Catalog. How to use the integration with hugo](https://www.youtube.com/watch?v=LfC5JDddwLI) * [Cloudmesh Catalog. Managing the server with start, stop, info, status](https://www.youtube.com/watch?v=qr8Yf5qAmV8) * [Cloudmesh Catalog. Running the Server on a Mac on port 8001](https://www.youtube.com/watch?v=T2im0MeDDKE) * [Github Tips and Project management](https://www.youtube.com/watch?v=Jce1kYOkd04) * [Overview Cloudmesh NIST project](https://www.youtube.com/watch?v=BCIE44MDgwE) Other videos are available at * <https://www.youtube.com/c/GregorvonLaszewski/videos> ---

نیازمندی

مقدار	نام
-	cloudmesh-cmd5
-	cloudmesh-sys
-	cloudmesh-inventory
-	cloudmesh-configuration
-	pyyaml
-	yamldb
-	fastapi
-	uvicorn
-	yamllint

نحوه نصب

نصب پکیج whl cloudmesh-catalog-4.3.4:

pip install cloudmesh-catalog-4.3.4.whl

نصب پکیج tar.gz cloudmesh-catalog-4.3.4:

pip install cloudmesh-catalog-4.3.4.tar.gz