pyecospold

pyecospold

Installation

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

$ pip install pyecospold

ecospold1 Schema Updates

1.1

This library includes a new version of the schema definitions for ecospold1. Version 1.1 includes the following changes:

• Changed the length restriction on referenceFunction.name to 255
• Changed the length restriction on referenceFunction.synonym to 255
• Changed the length restriction on category and subCategory to 255
• Changed the length restriction on representativeness.productionVolume to 32.000
• Made telephone optional

These changes were based on how this schema was being used by LCA software.

1.2

Corrected the handling of CAS numbers based on the official documentation:

• A fixed size isn't required, zero-padding is optional and in any case is not used consistently by LCA software
• Maximum length is 12, not 11
• The first element has a minimum size of 2 digits, not 1

Usage

from pyecospold import parse_file_v1, save_ecospold_file, Defaults

# Override defaults if needed, else skip. Defaults are already set.
Defaults.config_defaults("config.ini")  # Replace with your own config file

# Parse the required XML file to EcoSpold class.
ecoSpold = parse_file_v1("data/v1/v1_1.xml")  # Replace with your own XML file
ecoSpold
>> <Element {http://www.EcoInvent.org/EcoSpold01}ecoSpold at 0x1e667f7dae0>

# Change whatever attributes you need changing.
referenceFunction = ecoSpold.datasets[0].metaInformation.processInformation.referenceFunction
referenceFunction.amount
>> 1.0
referenceFunction.amount = 2.0
referenceFunction.amount
>> 2.0

# Save final EcoSpold class as an XML file, make sure root directory exists.
save_ecospold_file(ecoSpold, "out/00001_new.xml")  # Replace with your own path

Config file

[parameters]
SCHEMA_V1_FILE=path/to/schemas/v1/EcoSpold01Dataset.xsd
SCHEMA_V2_FILE=path/to/schemas/v2/EcoSpold02.xsd

[Allocation]
allocationMethod=-1

[DataEntryBy]
qualityNetwork=1

[Dataset]
validCompanyCodes=CompanyCodes.xml
validRegionalCodes=RegionalCodes.xml
validCategories=Categories.xml
validUnits=Units.xml

[DataSetInformation]
impactAssessmentResult=false
internalVersion=1.0
version=1.0

[Exchange]
uncertaintyType=1

[ReferenceFunction]
infrastructureProcess=true

Contributing

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

License

Distributed under the terms of the BSD license, pyecospold is free and open source software.

Issues

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

Credits