A easy why to mock your production environment variables during development in your project

# varenv

:green_heart:

A simple way to mock your environment variables during development.

Just add'em to the varenv.conf.json and have fun =). The varenv package will not overwrite any already existente environment variables.

This library was designed to be inbuilt in pojects that, when going to production, will consume environment variable, very commonly used in application that'll run in docker containers. So, they need something to mock these variable under development but that won't get in the way in production.

### Usage

Create a file called 'varenv.conf.json' at your project's root path like this:

{
"SRPC_SERVER": "127.0.0.1",
"SRPC_SERVER_PORT": "2727",
"ANY_OTHER_VARIABLE_I_DESIRE": 567865
}


now use it like this in your program:

import varenv.varenv as varenv

my_server_ip = varenv.get_env("SRPC_SERVER")
my_server_port = varenv.get_env("SRPC_SERVER_PORT")

# after a while, for some reason, something chaged your enviroment variables values
# then refresh it
varenv.refresh()
new_server_port = varenv.get_env("SRPC_SERVER_PORT")


If you want to change the location of the virenv.conf.json file, you can define a environment variable called VARENV_CONF_FILE_PATH to any path you desire.

You can do that in a variaty of ways, here is two exemples:

by python:

import os
os.environ['VARENV_CONF_FILE_PATH'] = '/folder/my_path/virenv.conf.json'
import varenv


VARENV_CONF_FILE_PATH=/folder/my_path/virenv.conf.json


by bash when calling your python program:

VARENV_CONF_FILE_PATH=/folder/my_path/virenv.conf.json python3 my_program.py


### Author's Note

create by me, davincif, this project of first though the needs of a another professional project made by me. But it sounds so potentially useful the the community that I decided to open this package here freely distributed.

I have no intention to continue enhancing this project professionally, but would love to carry its development with the community if there's anyone interested.

So let me know if you want to help, or also if you need any formal concentiment to use this software, despite the fact that it's already free and open by terms of a very permissive license as zlib.

• Dependency Manager project: A simple way of managing pip dev and prod dependencies.
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