This repository contains projects which developed for deploying to Amazon web services public cloud.

In this application, we work with the portal and API of the headhunter.ru company. We are very grateful to headhunter.ru company for the beautiful portal and excellently-designed well-documented API, programming with which was a pure pleasure. We are aware of the complexity of the development and maintenance of such services and such a business as a whole. We are also fully aware that specialized databases are one of the main assets of the company. In connection with the foregoing, we should in no case forget that this application was created exclusively for educational purposes and completely excludes the possibility of any business use. Also remember that the company itself provides analytical reporting services that you can always use and this will be the best choice.

The root of the repository contains two directories:

• local
• cloud

Contains code which intended to run in a local environment for testing purposes

Contains code which intended to run in a cloud environment for production purposes

All code is contained into directories which names consist of the proper name itself and after-dash suffix correspond with AWS services names. For example:

analyze-lambda

where analyze is the name of application and lamba is the name of AWS service.

All secrets, passwords, authentication, authorization keys an so on, stored in 'credentials.py' files which added to .gitinore for convenience's sake. Instead of this file, there is its fake double, named 'creds.py' which contains the same content with bulk secret strings to provide a way for file structure clarification. Therefore, after cloning this repo, change all 'creds.py' names to 'credentials.py'.

Or replace python imports:

from creds import a, b, c

Then, fill these files with your own secrets.

All requirements stored in requirements.txt, which may be installed using:

shell> pip install -r requirements.txt

for the local environment, or

shell> pip install -r requirements.txt -t .\destination 

for the cloud environment.