Metadata-Version: 2.4
Name: bw2scaffold
Version: 0.0.9
Summary: bw2scaffold is a templating tool that can facilitate the development of Life Cycle Oriented studies.
Home-page: https://git.list.lu/gustavo.larrea/replicable-lca
Author: Gustavo Larrea
Author-email: gustavo.larrea@list.lu
License: MIT
Project-URL: Documentation, https://git.list.lu/gustavo.larrea/replicable-lca
Project-URL: Source, https://git.list.lu/gustavo.larrea/replicable-lca
Project-URL: Changelog, https://git.list.lu/gustavo.larrea/replicable-lca/-/blob/main/CHANGELOG.rst?ref_type=heads
Project-URL: Tracker, https://git.list.lu/gustavo.larrea/replicable-lca/issues
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >3.9
Description-Content-Type: text/x-rst; charset=UTF-8
License-File: LICENSE.txt
Requires-Dist: typer
Requires-Dist: PyYAML
Requires-Dist: jinja2
Requires-Dist: pydantic
Requires-Dist: mypy
Requires-Dist: types-PyYAML
Requires-Dist: code2flow
Requires-Dist: python-dotenv
Provides-Extra: testing
Requires-Dist: setuptools; extra == "testing"
Requires-Dist: pytest; extra == "testing"
Requires-Dist: pytest-cov; extra == "testing"
Provides-Extra: dev
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: pylint; extra == "dev"
Dynamic: license-file

bw2scaffold
^^^^^^^^^^^

bw2scaffold is a templating tool that can facilitate the development of Life Cycle \
Oriented studies following the recommendations of the `protocol prototype for \
enhancing the reproducibility and transparency in \
Life Cycle Inventory building <https://lca-protocol.readthedocs.io/en/latest/>`_

This tool is still under development, but contributions and recommendations are \
welcomed.


Installation
============

Using pipx (recommended)
------------------------

We recommend to use pipx, which allows to install python applications in isolated environments (installation beyond a specific environment).
Do not worry, using pipx will not mess up your environments 😉.

.. code-block:: console

    pipx install git+https://git.list.lu/gustavo.larrea/replicable-lca.git

If you do not have pipx installed, you can, first, install it with pip:

.. code-block:: console

    pip install pipx

Then, make all application accessible:

.. code-block:: console

    pipx ensurepath


Using pip
---------

You can the package in your environment directly from the github repository:

.. code-block:: console

    pip install git+https://git.list.lu/gustavo.larrea/replicable-lca.git


Usage: ``start``
================

This is still work in progress.
bw2scaffold provides a CLI command ``bw2init`` with two additional commands to setup and pack up an LCA project.
To understand more, use the ``--help`` option.

.. code-block:: console


    > bw2init --help

     Usage: bw2init [OPTIONS] COMMAND [ARGS]...

    ╭─ Options ────────────────────────────────────────────────────────────────────────────────────────────╮
    │ --install-completion          Install completion for the current shell.                              │
    │ --show-completion             Show completion for the current shell, to copy it or customize the     │
    │                               installation.                                                          │
    │ --help                        Show this message and exit.                                            │
    ╰──────────────────────────────────────────────────────────────────────────────────────────────────────╯
    ╭─ Commands ───────────────────────────────────────────────────────────────────────────────────────────╮
    │ finish   Packs up a project created with bw2scaffold and verifies its quality.                       │
    │ start    Prepares a brightway project template and starts your LCA modelling.                        │
    ╰──────────────────────────────────────────────────────────────────────────────────────────────────────╯

The `start` command creates a ready-to-use repository.
It requires only one mandatory ``project_name`` argument, but it can also install some useful plugins:

.. code-block:: console

    > bw2init start --help

     Usage: bw2init start [OPTIONS] PROJECT_NAME

     Prepares a brightway project template and starts your LCA modelling.

    ╭─ Arguments ──────────────────────────────────────────────────────────────────────────────────────────╮
    │ *    project_name      TEXT  [default: None] [required]                                              │
    ╰──────────────────────────────────────────────────────────────────────────────────────────────────────╯
    ╭─ Options ────────────────────────────────────────────────────────────────────────────────────────────╮
    │ --full     -f            Installs recommended shell plugins that facilitate work. Works only in      │
    │                          UNIX-like systems                                                           │
    │ --verbose  -v            Activate to have verbose logging                                            │
    │ --email            TEXT  [default: None]                                                             │
    │ --help                   Show this message and exit.                                                 │
    ╰──────────────────────────────────────────────────────────────────────────────────────────────────────╯

Once your project is created, a success message and the project path will be printed:

.. code-block:: console

    > bw2init start my_lca_project
     ✨Success! your brightway-based repo has been created:
     /home/larrea_30718/repos/bw2scaffold/my_lca_project

The project structure follows the recommendations of the `protocol <https://lca-protocol.readthedocs.io/en/latest/>`_ prototype, like this:

.. code-block:: console

    > tree my_lca_project -a
    my_lca_project
    ├── .env
    ├── environment.yaml
    ├── .env.leave
    ├── .gitignore
    ├── README.md
    ├── requirements.txt
    └── src
        ├── analysis
        │   └── README.md
        ├── assets
        │   └── README.md
        ├── data
        │   ├── private
        │   │   ├── processed
        │   │   │   └── README.md
        │   │   ├── raw
        │   │   │   └── README.md
        │   │   └── README.md
        │   ├── processed
        │   │   └── README.md
        │   └── raw
        │       └── README.md
        ├── modeling
        │   └── README.md
        ├── processing
        │   └── README.md
        └── run.py

    12 directories, 16 files

The ``.env`` file contains an environmental variable (``BRIGHTWAY2_DIR``) that stores the path of a folder that will contain all the brightway databases specific for this project.
This helps to isolate one project from the rest, allowing (*hopefully*) to have a fully replicable project.

.. code-block:: console

    > cat .env

    # Path where bw2data will store data (`.bw2projects`)
    BRIGHTWAY2_DIR=/home/gustavo.larrea/test-lca/.bw2projects
    export BRIGHTWAY2_DIR
    # Useful only for UNIX-like operating system
    AUTOENV_ENABLE_LEAVE=True


The best way to use this custom project folder is by loading it before importing `bw2data`.
You can do this by using the `python-dotenv <https://pypi.org/project/python-dotenv/>`_ package.
Install it doing ``pip install python-dotenv``.
Imagine this python file (`projects.py`):

.. code-block:: python

    from dotenv import load_dotenv
    load_dotenv() # This searches for `.env` file and loads the variables

    import bw2data as bd # bw2data will automatically read the environmental variable.
    bd.projects.set_current('my_lca_project')
    print('This are your projects:\n',bd.projects)

Running this script will have this output:

.. code-block:: console

    > python projects.py
    16:05:13+0200 [info     ] Using environment variable BRIGHTWAY2_DIR for data directory:
    /home/larrea@private.list.lu/repos/test2/.bw2projects
    This are your projects:
     Brightway2 projects manager with 2 objects:
        default
        my_lca_project
    Use `projects.report()` to get a report on all projects.

This means that brightway will only read and write from the custom folder, isolating your project.

Usage: ``finish``
=================

The `finish` command packs up the project generating the statistics and figures that \
are necessary to fulfill \
the `protocol <https://lca-protocol.readthedocs.io/en/latest/>`_.

.. code-block::

    > bw2init finish --help

     Usage: bw2init finish [OPTIONS] INPUT_FILE [OUTPUT_FILE]

     Packs up a project created with bw2scaffold and verifies its quality.

    ╭─ Arguments ──────────────────────────────────────────────────────────────────────────────────────────╮
    │ *    input_file       TEXT           Path of run.py [default: None] [required]                       │
    │      output_file      [OUTPUT_FILE]  Path to export the callgraph [default: data/callgraph.png]      │
    ╰──────────────────────────────────────────────────────────────────────────────────────────────────────╯
    ╭─ Options ────────────────────────────────────────────────────────────────────────────────────────────╮
    │ --function  -func      TEXT  Name of the function containing the main pipeline [default: main]       │
    │ --help                       Show this message and exit.                                             │
    ╰──────────────────────────────────────────────────────────────────────────────────────────────────────╯

At the moment, this command only generates a callgraph of the computional pipeline of the \
project.
For instance, if the project looks like this ``run.py`` example:

.. code-block:: python

    """
    This is an Life Cycle Oriented study
    """

    def read_data():
        print("I am reading some data")
        return None

    def lcia_step() -> float :
        print("I am building LCIA")
        return "LCA impact"

    def curate_data():
        print("Data curated")
        return None

    def prepare():
        curate_data()
        print("I am preparing some data")

    def build_lci() ->  None :
        prepare()
        print('I am building LCI')
        return None

    def export(results):
        print(f"I am exporting results: {results}")

    def main():
        build_lci()
        results = lcia_step()
        export(results)

        print("Main is done")

    if __name__=="__main__":
        main()

When running the ``bw2init finish`` command, it is necessary to indicate the source \
file ``src/run.py``, the output file ``data/callgraph.png``, and the specific function \
in the source file that starts the whole computation ``main``:

.. code-block:: console

    > bw2init finish src/run.py data/callgraph.png --function main
       Code2Flow: Found 1 files from sources argument.
       Code2Flow: Implicitly detected language as 'py'.
       Code2Flow: Processing 1 source file(s).
       Code2Flow:   src/run.py
       Code2Flow: Found groups ['File: run'].
       Code2Flow: Found nodes ['(global)', 'build_lci', 'curate_data', 'export', 'lcia_step', 'main', 'prepare', 'read_data'].
       Code2Flow: Found calls ['build_lci()', 'curate_data()', 'export()', 'lcia_step()', 'main()', 'prepare()', 'print()'].
       Code2Flow: Found variables ['print->UNKNOWN_MODULE', 'results-><Call owner_token=None token=lcia_step>'].
       Code2Flow: Filtering into subset...
       Code2Flow: Generating output file...
       Code2Flow: Wrote output file 'data/callgraph.gv' with 7 nodes and 6 edges.
       Code2Flow: For better machine readability, you can also try outputting in a json format.
       Code2Flow: Code2flow finished processing in 0.00 seconds.
       Code2Flow: Running graphviz to make the image...
       Code2Flow: Graphviz finished in 0.04 seconds.
       Code2Flow: Completed your flowchart! To see it, open 'data/callgraph.png'.
       [10/23/24 09:55:03] INFO     ✨Success! 📦 ✔ Your project has been checked and packed ✔ 📦
       Code2Flow: :sparkles:[bold green]Success![/bold green] :package: :heavy_check_mark: Your project has been checked and packed :heavy_check_mark: :package:


The callgraph construction is done in an static manner, meaning that the code is not run again.
In this case, the computation graph looks like the following:

.. image:: docs/callgraph.png
    :width: 90 %
    :align: center


.. note::

    The ``finish`` command is incomplete and it requires to be development in \
    conjunction with the `protocol <https://lca-protocol.readthedocs.io/en/latest/>`_.


📫 Contact
==========

gustavo.larrea@list.lu

♻️ License
==========

MIT

Contributors ✨
===============

Gustavo Larrea

Tomás Navarrete Gutiérrez


© [2024] Luxembourg Institute of Science and Technology. All Rights Reserved
