boaviztapi 2.0.3

An API to access Boavizta's methodologies and footprint reference data

An API to access Boavizta's methodologies and data

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See the documentation for API usage and methodology.

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:dart: Objective

Boavizta aims to enhance the assessment of environmental impacts induced by ICTs in organizations by providing widespread access to our work in an automated and efficient manner.

Boavizta integrates various data and methodologies, which are combined and made accessible through this API.

Transparency and the popularization of scientific knowledge are of utmost importance in this project, and key aspects include open-sourcing the code, versioning the impact factors, and thoroughly documenting the project.

In the interest of transparency and scientific popularization, the opening of the code, the versioning of the impact factors and the documentation of the project are critical points.

The system follows a bottom-up approach in its development, organized into layers. The initial layer focuses on equipment. The second layer focues on the impacts of digital services (e.g. cloud instances) or systems. However, assessing the overall global impact of ICT is currently beyond the project's scope.

:fast_forward: Test it yourself (no installation)

• See our pedagogical front-end app (using the API): https://datavizta.boavizta.org/serversimpact

• See the OpenAPI specification: https://api.boavizta.org/docs

• Documentation

• Access the demo API: https://api.boavizta.org

Run a local instance

:whale: Run API using docker

$ docker run -p 5000:5000 ghcr.io/boavizta/boaviztapi:latest

Access the API at http://localhost:5000.

Install using pip package

$ pip3 install boaviztapi

Run the server locally with:

$ uvicorn boaviztapi.main:app --host=localhost --port 5000

:computer: Development

Prerequisite

• Python >=3.12
• Poetry (see the install instructions)
• make

Setup poetry

Install dependencies and check the environment is set up correctly:

$ make install
$ make test
$ make lint

Launch a development server

The development server uses uvicorn and FastAPI. You can launch the development server with the uvicorn CLI.

# Using uvicorn
$ make run

# Using Python directly (adds watcher)
$ make run-py

Tests

You can run the tests with pytest via:

• make test to run all unit tests (using test data)
• make test-e2e to run end-to-end tests (using "real" data)

Create your own docker image and run it

Build Docker image:

# Using the makefile (recommended)
make docker-build-development
make docker-run-development

# Manual build
docker build . -t boavizta-test
docker run -p 5000:5000 boavizta-test

Deploy to AWS as serverless application

You can self-host BoaviztAPI as an AWS Lambda function using Serverless Framework.

You must first configure:

• AWS CLI
• Serverless Framework CLI

Once done, you can deploy the API with:

serverless deploy

When the deploy succeeds, it will show you the URLs for the deployed function, and you can call the API as normal, e.g.

# Replace the base URL with your own
curl -s "https://k9wllbzcc2.execute-api.eu-west-1.amazonaws.com/v1/server/?archetype=dellR740"

You can check your Lambda URL at any time with:

serverless info

OpenAPI specification (Swagger)

Once API server is launched API swagger is available at httsp://localhost:5000/docs.

:woman: Contributing

See contributing.md.

You can build a source distribution (installable with pip) with make build.

:one: Versioning

We use Semantic Versioning 2.0.0

Type	Description	Command
MAJOR	version when you make incompatible API changes	make major
MINOR	version when you add functionality in a backwards compatible manner	make minor
PATCH	version when you make backwards compatible bug fixes	make patch

:two: Releasing

See the Release Process wiki.

:scroll: License

GNU Affero General Public License v3.0