Adding models to the Glossary - 0

[jsvgoncalves]

Goal: Include models that generate LCI datasets in the glossary and link them to other glossary concepts.

Key Questions:

• Model Schema: How do we represent a model in the glossary schema? What is the minimum amount of information we need to store about a model?
• Model Execution: How do we pipe data from the glossary to the model? What sort of facade or adapter is need to map the model's IO to the glossary?
• Data Uncertainty: For a given execution flow, where is information about uncertainty given? Is it a pre-requirement for model inclusion in the glossary?

Potential Outcomes:

• Addition of Models as an entity type to the glossary.
• Definition and implementation of first mini-pipeline using the glossary.

Candidate Models:

• https://github.com/msmasnadi/OPGEEv4
• https://onlinelibrary.wiley.com/doi/abs/10.1002/pip.3695
• https://github.com/romainsacchi/LCA_WIND_DK/tree/master
• https://github.com/romainsacchi/carculator
• https://pubs.acs.org/doi/10.1021/acs.est.3c03190
• https://www.epa.gov/warm/versions-waste-reduction-model#v16
•  https://www.sciencedirect.com/science/article/abs/pii/S0360132323011046

[jsvgoncalves]

Here's the list of current schemes we're importing:
https://github.com/sentier-dev/glossary-api/blob/2be9056ede31c2de4839e18875e5bd4376ab2c5b/dds_glossary/services.py#L50-L93

class GlossaryController:
    """
    Controller for the glossary.

    Attributes:
        engine (Engine): The database engine.
        data_dir (Path): The data directory for saving the datasets.
    """

    europa_url: ClassVar[str] = "http://publications.europa.eu/resource/distribution/"
    fao_url: ClassVar[str] = (
        "https://storage.googleapis.com/fao-datalab-caliper/Downloads/"
    )
    datasets: ClassVar[list[Dataset]] = [
        Dataset(
            name="ESTAT-CN2024.rdf",
            url=(
                europa_url
                + "combined-nomenclature-2024/20240425-0/rdf/skos_core/ESTAT-CN2024.rdf"
            ),
        ),
        Dataset(
            name="ESTAT-LoW2015.rdf",
            url=europa_url + "low2015/20240425-0/rdf/skos_core/ESTAT-LoW2015.rdf",
        ),
        Dataset(
            name="ESTAT-NACE2.1.rdf",
            url=(europa_url + "nace2.1/20240425-0/rdf/skos_core/ESTAT-NACE2.1.rdf"),
        ),
        Dataset(
            name="ESTAT-ICST-COM.rdf",
            url=(europa_url + "icst-com/20240425-0/rdf/skos_core/ESTAT-ICST-COM.rdf"),
        ),
        Dataset(
            name="ESTAT-PRODCOM2023.rdf",
            url=(
                europa_url
                + "prodcom2023/20240425-0/rdf/skos_core/ESTAT-PRODCOM2023.rdf"
            ),
        ),
        Dataset(name="ISIC4.rdf", url=fao_url + "ISICRev4/ISIC4.rdf"),
        Dataset(name="ICC11.rdf", url=fao_url + "ICCv1.1/ICC11.rdf"),
        Dataset(name="WCACROPS.rdf", url=fao_url + "WCA2020Crops/WCACROPS.rdf"),
    ]

[simontaurus]

Data schema drafts

Entity

Process

Product

ConceptSchema

Concept

Python Codegeneration:
Process Dataclass

[jsvgoncalves]

For reference, here the current pydantic for ConceptScheme and Concept