Metadata-Version: 2.1
Name: efootprint
Version: 1.2.1
Summary: Digital service environmental footprint model
Home-page: https://github.com/publicissapient-france/e-footprint
Author: Vincent Villet for Publicis Sapient
Author-email: vincent.villet@gmail.com
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: GNU Affero General Public License v3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE

# E-footprint model

A toolkit for exhaustively modeling the environmental impact of digital services.

The current perimeter is the carbon footprint associated with the fabrication and usage of servers, storage, network (usage only) and end user devices necessary for the existence of a digital service. Other environmental impacts (water, rare earth metals, etc.) will be added soon through an integration with the [Boavizta API](https://github.com/Boavizta/boaviztapi), and the lifecycle phases of device transportation and end of life are currently considered negligible.

# Getting started

## Documentation
Here is the link to the [e-footprint documentation](https://publicissapient-france.github.io/e-footprint). There you will find a description of all the e-footprint objects, their parameters, the relationship between the objects and the calculated attributes and their graphs.

## Didactic interface
You can explore the model’s didactic interface at [this link](https://publicis-sapient-e-footprint-model.streamlit.app/). This interface allows for a limited use of the model (only one user journey on a single service when the code allows for an unlimited amount of objects) but is useful to discover the inputs and explore the calculation graphs (see below).

## Modeling examples
Checkout our open source [e-footprint modeling use cases](https://github.com/publicissapient-france/e-footprint-modelings).

## Quickstart

    pip install efootprint

You can then run the [quickstart](quickstart.py) script to familiarize yourself with the object logic and generate an object relationship graph and a calculation graph as html files in the current folder.

<figure>
    <img src="images/obj_relationships_graph_example.png" width="550" alt="object relationships graph">
    <figcaption>Object relationships graph: usage pattern in wheat, user journey in gold, user journey steps in khaki, hardware in darkred, and service in blue</figcaption>
</figure>

<figure>
    <img src="images/device_population_fab_footprint_calculus_graph_example.png" width="900" alt="simple calculation graph">
    <figcaption>Calculation graph: user inputs in gold, hypothesis in darkred, and intermediate calculations in pale blue. Hover over a node to read the formula.</figcaption>
</figure>

## Dev setup
Check out [INSTALL.md](./INSTALL.md).

# Code logic
The code has been architectured to separate modeling from optimization from API logic. The goal is to make contribution to the modeling logic as straightforward as possible.

- Scripts that deal with modeling logic are located in [efootprint/core](./efootprint/core).
- Optimizations (having the model rerun the right calculations whenever an input attribute or a link between objects changes) are dealt with in [efootprint/abstract_modeling_classes](./efootprint/abstract_modeling_classes).
- The API doesn’t exist yet but will be also decoupled from the modeling and optimization logics.

# Contributing
Check out [CONTRIBUTING.md](./CONTRIBUTING.md)

# License
[GNU Affero General Public License v3.0](./LICENSE)
