cmutel

from pathlib import Path
import appdirs
import hashlib
import re
import unicodedata


re_slugify = re.compile(r"[^\w\s-]", re.UNICODE)
MULTI_RE = re.compile(r"_{2,}")

cmutel

Process:               python3.7 [25261]
Path:                  /Users/USER/*/python3.7
Identifier:            python3.7
Version:               0
Code Type:             X86-64 (Native)
Parent Process:        bash [25037]
Responsible:           python3.7 [25261]
User ID:               501

Date/Time:             2020-10-12 09:51:38.892 +0200

cmutel

  activity-browser-~ bsteubing/noarch::activity-browser-dev-2020.10.06-pypy_0
  appdirs            conda-forge/noarch::appdirs-1.4.3-py_1
  arrow              conda-forge/osx-64::arrow-0.17.0-py37hc8dfbb8_0
  asteval            conda-forge/noarch::asteval-0.9.16-pyh5ca1d4c_0
  astunparse         conda-forge/noarch::astunparse-1.6.2-py_0
  beautifulsoup4     conda-forge/noarch::beautifulsoup4-4.9.3-pyhb0f4dca_0
  brightway2         cmutel/noarch::brightway2-2.3-py_2
  brotlipy           conda-forge/osx-64::brotlipy-0.7.0-py37h60d8a13_1000
  bw2analyzer        cmutel/noarch::bw2analyzer-0.9.4-py_1
  bw2calc            cmutel/noarch::bw2calc-1.8.0-py_0

cmutel

Implementing multi-functionality in bw2data

Multi-functionality support will be added as a new library in Brightway, compatible with bw2data version 4 or later (still in development). The code name for this library is "nife", as it is like a Swiss army knife, just a bit less complicated. The actual library name can be decided later :)

Allocation and substitution functions

The idea of supporting multi-output processes is to allow different approaches to handling these outputs to be executed and compared. Allocation is kind of approach, though there are others. In this text, I will use the phrase "resolution functions" as a generic term for these approaches.

Resolution functions must be implemented in Python, and will be stored in a mapping dictionary:

cmutel

from brightway2 import *
projects.set_current("2020 class EI import")
bw2setup()
dp = "/Users/cmutel/Documents/LCA/Ecoinvent/3.6/cutoff/datasets"  # Or whatever
ei = SingleOutputEcospold2Importer(dp, "ecoinvent")
ei.apply_strategies()
ei.statistics()
ei.write_database()
databases
act = Database("ecoinvent").random()

cmutel

import brightway2 as bw
from time import time
import numpy as np
import pyarrow as pa
import pyarrow.parquet as pq


def fu_iterator(name="ecoinvent 3.5 cutoff", cutoff=500):
    for i, x in enumerate(bw.Database(name)):
        if i >= cutoff:

cmutel

orig_data = """BDACFE
DCAFBE
AFDCEB
ADCFBE
CAEBDF
DCABFGHE
AFCED
DCAFBEGH
BGEACDH""".split("\n")

cmutel

from brightway2 import *
from bw2data.backends.peewee.schema import ExchangeDataset as ED

qs = ED.select().filter(ED.output_database == "ecoinvent cutoff 3.5")
uncertain = 0
empty_pedigree = 0


NO_PEDIGREE = {
    'reliability': 1,

cmutel

('ILCD 2.0 2018 midpoint no LT', 'climate change', 'climate change biogenic')
('ILCD 2.0 2018 midpoint no LT', 'climate change', 'climate change fossil')
('ILCD 2.0 2018 midpoint no LT', 'climate change', 'climate change land use and land use change')
('ILCD 2.0 2018 midpoint no LT', 'climate change', 'climate change total')
('ILCD 2.0 2018 midpoint no LT', 'ecosystem quality', 'freshwater and terrestrial acidification')
('ILCD 2.0 2018 midpoint no LT', 'ecosystem quality', 'freshwater ecotoxicity')
('ILCD 2.0 2018 midpoint no LT', 'ecosystem quality', 'freshwater eutrophication')
('ILCD 2.0 2018 midpoint no LT', 'ecosystem quality', 'marine eutrophication')
('ILCD 2.0 2018 midpoint no LT', 'ecosystem quality', 'terrestrial eutrophication')
('ILCD 2.0 2018 midpoint no LT', 'human health', 'carcinogenic effects')

cmutel