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Code to generate Randonneur migration files for ecoinvent releases

Project description

ecoinvent_migrate

PyPI Status Python Version License

Read the documentation at https://ecoinvent_migrate.readthedocs.io/ Tests Codecov

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ecoinvent_migrate makes the change report Excel files from ecoinvent usable.

These files are designed to allow for relinking against new versions of ecoinvent, not for updating an existing ecoinvent installation.

This library requires a valid ecoinvent license for all functionality. Output files are provided in the outputs directory.

Installation

You can install ecoinvent_migrate via [pip] from [PyPI]:

$ pip install ecoinvent_migrate

Usage

Migration are from one release to the next, e.g. from 3.5 to 3.6. There are separate files, and separate functions, for technosphere and biosphere edges. The files produced are serialized to JSON and software agnostic, but play well with the Brightway ecosystem.

Technosphere

from ecoinvent_migrate import *
filepath = generate_technosphere_mapping("3.7.1", "3.8")

This produces a file which has allows foreground inventory datasets which linked to 3.7.1 to find suitable replacement datasets in 3.8. The produced file looks like this:

{
  "name": "ecoinvent-3.7.1-cutoff-ecoinvent-3.8-cutoff",
  "licenses": [
    {
      "name": "CC BY 4.0",
      "path": "https://creativecommons.org/licenses/by/4.0/",
      "title": "Creative Commons Attribution 4.0 International"
    }
  ],
  "version": "1.0.0",
  "description": "Data migration file from ecoinvent-3.7.1-cutoff to ecoinvent-3.8-cutoff generated with `ecoinvent_migrate` version 0.1.0 at 2024-06-14T12:17:38.900471+00:00",
  "homepage": "https://github.com/brightway-lca/ecoinvent_migrate",
  "created": "2024-06-14T12:17:38.900471+00:00",
  "contributors": [
    {
      "title": "ecoinvent association",
      "path": "https://ecoinvent.org/",
      "role": "author"
    },
    {
      "title": "Chris Mutel",
      "path": "https://chris.mutel.org/",
      "role": "wrangler"
    }
  ],
  "replace": [
    {
      "source": {
        "name": "assembly of generator and motor, auxilliaries and energy use, heat and power co-generation unit, 160kW electrical",
        "location": "RoW",
        "reference product": "assembly of generator and motor, auxilliaries and energy use, for heat and power co-generation unit, 160 KW electrical",
        "unit": "unit"
      },
      "target": {
        "name": "assembly of generator and motor, auxilliaries and energy use, heat and power co-generation unit, 160kW electrical",
        "location": "RoW",
        "reference product": "assembly of generator and motor, auxilliaries and energy use, heat and power co-generation unit, 160kW electrical",
        "unit": "unit"
      }
    }
  ],
  "disaggregate": [
    {
      "source": {
        "name": "application of plant protection product, by field sprayer",
        "location": "RoW",
        "reference product": "application of plant protection product, by field sprayer",
        "unit": "ha"
      },
      "targets": [
        {
          "name": "application of plant protection product, by field sprayer",
          "location": "Canada without Quebec",
          "reference product": "application of plant protection product, by field sprayer",
          "unit": "ha",
          "allocation": 0.025737164985667214
        },
        {
          "name": "application of plant protection product, by field sprayer",
          "location": "RoW",
          "reference product": "application of plant protection product, by field sprayer",
          "unit": "ha",
          "allocation": 0.9742628350143328
        }
      ]
    }
  ]
}

To use this file, you will need to take different actions for the two verbs. For replace, edges in your foreground which link to an ecoinvent dataset with the same attributes as in the source section can be replaced one-to-one with an edge to an ecoinvent process from the later release whose attributes match those in the target section. For the disaggregate verb, you will need to split the initial foreground edge into two or more edges, and scale the original amount and uncertainty information by the allocation value.

If you are using Brightway, there are convenience functions in bw_migrations and cached migration files which will be used for you automatically.

Migrations are designed and only tested for forward progress, i.e. from one release to the next subsequent release. Going in the opposite direction is not recommended.

You can't skip across multiple releases - attempting to do so will raise a VersionJump error:

>>> generate_technosphere_mapping("3.7.1", "3.9.1")
---------------------------------------------------------------------------
VersionJump:
Source (3.7.1) and target (3.9.1) don't have a change report.
Usually this is the case when one jumps across multiple releases, but not always.
For example, the change report for 3.7.1 is from 3.6, not 3.7.
The change report we have available is:
Change Report Annex v3.9 - v3.9.1.xlsx

Technosphere mapping files are system model specific, and the default system model is cutoff. You can specify a different system model following the ecoinvent_interface function specification with the system_model parameters, e.g. generate_technosphere_mapping(..., system_model='apos').

Biosphere

The same procedure applies for biosphere edges:

from ecoinvent_migrate import *
filepath = generate_biosphere_mapping("3.9.1", "3.10")

This produces a data file like:

{
  "name": "ecoinvent-3.9.1-biosphere-ecoinvent-3.10-biosphere",
  "licenses": [
    {
      "name": "CC BY 4.0",
      "path": "https://creativecommons.org/licenses/by/4.0/",
      "title": "Creative Commons Attribution 4.0 International"
    }
  ],
  "version": "1.0.0",
  "description": "Data migration file from ecoinvent-3.9.1-biosphere to ecoinvent-3.10-biosphere generated with `ecoinvent_migrate` version 0.1.0 at 2024-06-14T10:26:46.339261+00:00",
  "homepage": "https://github.com/brightway-lca/ecoinvent_migrate",
  "created": "2024-06-14T10:26:46.339261+00:00",
  "contributors": [
    {
      "title": "ecoinvent association",
      "path": "https://ecoinvent.org/",
      "role": "author"
    },
    {
      "title": "Chris Mutel",
      "path": "https://chris.mutel.org/",
      "role": "wrangler"
    }
  ],
  "replace": [
    {
      "source": {
        "uuid": "4f777e05-70f9-4a18-a406-d8232325073f",
        "name": "2,4-D amines"
      },
      "target": {
        "uuid": "b6b4201e-0561-5992-912f-e729fbf04e41",
        "name": "2,4-D dimethylamine salt"
      }
    }
  ],
  "delete": [
    {
      "source": {
        "uuid": "91861063-1826-4860-9957-7c5bde5817a6",
        "name": "Salt water (obsolete)"
      },
      "comment": "There is no salt water flow in ecoinvent."
    }
  ]
}

By default, the delete verb is skipped, as this is a more cautious approach to existing data. To have the delete section included, call generate_biosphere_mapping(..., keep_deletions=True).

Common input arguments

Both generate_technosphere_mapping and generate_biosphere_mapping accept the following input arguments:

  • source_version (str): String representation of an ecoinvent version, e.g. "3.8"
  • target_version (str): String representation of an ecoinvent version, e.g. "3.8"
  • ecoinvent_username (str, optional): Ecoinvent account username
  • ecoinvent_password (str, optional): Ecoinvent account password
  • write_logs (bool, default True): Create detailed and high-level logs during mapping file creation
  • output_directory (pathlib.Path, default is platformlibs.user_data_dir): Directory for the result files

Note that we strongly recommend permanently setting your ecoinvent user credentials.

The following input parameters should normally be left to their default values:

  • project_name (str): The Brightway project name into which we install ecoinvent releases to check change report data validity.
  • output_version (str, default is "1.0.0"): Datapackage version number
  • licenses (list, default is CC-BY): Licenses following the frictionless data datapackage standard
  • description (str, default is auto-generated): Description of generated datapackage.

How does this library work?

We start by using ecoinvent_interface to download the change report Excel file, and the two ecoinvent releases (source and target). We need to download the ecoinvent data because the change report is for the unlinked and unallocated "master" data; there are some changes needed for the specific system models.

For biosphere mapping, we read the Excel file, search around for the correct worksheet and column names, and map the data to "replace" and "delete" sections. This is pretty simple.

For technosphere mapping, we need to check if the indicated datasets are actually in GLO or in RoW (and analogously in RER / RoE.) We do this by finding the corresponding datasets in the actual database releases. We also need to use the actual data to look up the allocation factors when a single dataset is split into multiple datasets.

Not every line in the change report Excel file can be used, either because of the specifics of the system model, or some other unknown discrepancy. These exceptions are logged to both the log files and sys.stderr:

2024-06-14 14:17:38.641 | WARNING  | ecoinvent_migrate.wrangling:resolve_glo_row_rer_roe:219 -
    Target process given in change report but missing in ecoinvent-3.8-cutoff lookup:
    {'name': 'rutile production, synthetic, 95% titanium dioxide, Benelite process',
     'location': 'GLO',
     'reference product': 'rutile, 95% titanium dioxide', 'unit': 'kg'}

Once the given change data is segregated and cleaned, it is serialized to JSON.

Contributing

Contributions are very welcome. To learn more, see the Contributor Guide.

License

Distributed under the terms of the BSD 3 Clause license, ecoinvent_migrate is free and open source software.

Issues

If you encounter any problems, please file an issue along with a detailed description.

Building the Documentation

You can build the documentation locally by installing the documentation Conda environment:

conda env create -f docs/environment.yml

activating the environment

conda activate sphinx_ecoinvent_migrate

and running the build command:

sphinx-build docs _build/html --builder=html --jobs=auto --write-all; open _build/html/index.html

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