Metadata-Version: 2.1
Name: dsFramework
Version: 0.1.69
Summary: data science framework library
Home-page: UNKNOWN
Author: oribrau@gmail.com
License: MIT
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: dvc[gs,s3] (==2.8.2)
Requires-Dist: click (==8.0.1)
Requires-Dist: pydantic (==1.8.2)
Requires-Dist: tldextract (==3.1.2)
Requires-Dist: uvicorn (==0.15.0)
Requires-Dist: gunicorn (==20.1.0)
Requires-Dist: fastapi (==0.68.1)
Requires-Dist: requests (==2.26.0)
Requires-Dist: Unidecode (==1.3.2)
Requires-Dist: python-json-logger (==2.0.1)
Requires-Dist: google-api-python-client (==2.21.0)
Requires-Dist: oauth2client (==4.1.3)
Requires-Dist: jwt (==1.2.0)
Requires-Dist: pandas (==1.2.4)
Requires-Dist: botocore (==1.20.106)
Requires-Dist: boto3 (==1.17.106)
Requires-Dist: logdecorator (==2.2)

# ds-framework
data science framework

#how to install
pip install dsframework

#how to use
##list of commands:
* dsf-cli - to get all cli options


* dsf-cli generate project my-new-project - to generate new project named my-new-project

## inside generated project folder 
(cd my-new-folder)
* dsf-cli g forcer my-new-forcer - creating new forcer (will be automatically injected to pipeline after last exist forcer)


* dsf-cli g predictable my-new-predictable - creating new predictable (will be automatically injected to pipeline after last exist predictable)


* dsf-cli run-server - will run local server with port 8080\
  available endpoints depend on project\
  http://localhost:8080/parse, http://localhost:8080/predict \
  will validate input based on input scheme and execute pipeline\
  http://localhost:8080/test \
  will run mock test using Data science portal


* dsf-cli create-deploy-files - deploy files generated automatically when creating new project this is an option to create all non exist deploy files, 

  * if deploy file was deleted by mistake you can recreate it 

  * if dsframework version was update with updated deploy files you can delete deploy files and recreate them

* dsf-cli create-cloud-eval-files - cloud eval files this is an option to create all non exist cloud eval files


