env-isolation

The env-isolation is a library that allows to create isolated environments for running Python code. It is useful for seperating pip environments.

Note: The Library do not isolate the environments for security purposes.

Installation

Install this library in a venv using pip. venv is a tool to create isolated Python environments.

Supported Python Versions

Python >= 3.6

Mac/Linux

pip install venv
python -m venv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install env-isolation

Windows

pip install venv
python -m venv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install env-isolation

Example Usage

Create a directory test-model with a file test-model/requirements.txt with the following content:

pandas

Create a file test-model/main.py with the following content:

import logging
import pandas as pd

class Model():
    def __init__(self, arguments: dict):
        logging.info(f'Test Model initialised arguments: {arguments}')

    def execute(self, arguments: dict) -> dict:
        logging.info(f'Test Model executed with arguments: {arguments}')
        return pd.read_csv('test.csv').to_dict()

Execute the following code:

import logging
logging.basicConfig(level=logging.INFO)
from envisolation import EnvIsolatedModel

model = EnvIsolatedModel(model_id="test-model", model_path="test_model", pip_requirements_path="test_model/requirements.txt", model_arguments={"test_argument":1})
logging.info(model.execute({"input": "test"}))
model.unload()

Metadata

Release files for env-isolation 0.8.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for env-isolation 0.8.0
File	Interpreter	ABI	Platform	Reset
env_isolation-0.8.0-py2.py3-none-any.whl 18.2 kB Mar 10, 2025	Python 2, Python 3	none	any	Details

Release files / env_isolation-0.8.0-py2.py3-none-any.whl

Download URL	env_isolation-0.8.0-py2.py3-none-any.whl
Size	18.2 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`ad9996bc9434fcf05ae270086101f625c0a3b8c07cd66104fcaa5a41882ac723`
BLAKE2b-256 checksum How to use checksums	`545445aa3e40ed50c2d5b5e48ed1780662f2ee3dcc53e168853a9f3a107bc247`
Upload date	Mar 10, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.12.9`