cmutel

from typing import Any

from tqdm import tqdm
import bw2calc as bc
import bw2data as bd
import pandas as pd

PRODUCT_NODE_TYPES = set(bd.labels.product_node_types + [bd.labels.chimaera_node_default])

cmutel

"""Add aggregated LCIA CFs as elementary flows

Usage:
  aggregated_flows.py add <project_name> <lcia-stem> [--dryrun] [--aggregated-flow-db=<db-name>]
  aggregated_flows.py list-stems <project_name>
  aggregated_flows.py (-h | --help)
  aggregated_flows.py --version

Options:
  -h --help                       Show this screen.

cmutel

from typing import Type
from pydantic import BaseModel

class Foo(BaseModel):
    pass

class FooChild(Foo):
    pass

class Bar(BaseModel):

cmutel

from bw2io.extractors.excel import ExcelExtractor
from ecoinvent_interface import EcoinventRelease, Settings, ReleaseType
from openpyxl import load_workbook
from scipy import sparse
from time import time
from tqdm import tqdm
import bw2calc as bc
import bw2data as bd
import bw2io as bi
import itertools

cmutel

from typing import Optional
from pydantic import BaseModel
import pandas as pd
from enum import Enum


class IRI:
    # Can look up info

cmutel

import bw2data as bd
import bw2calc as bc

ei = bd.Database("ecoinvent-3.9.1-cutoff")

banana_co = bd.get_node(database=ei.name, name='banana production', location="CO")
banana_cr = bd.get_node(database=ei.name, name='banana production', location="CR")

impact_categories = [
    ('ReCiPe Endpoint (H,A)', 'ecosystem quality', 'climate change, ecosystems'),

cmutel

# Use MacOS built-in Python because it is universal
# i.e. works on both ARM and X64 via Rosetta
# Have to trick it into thinking we are x64 as pyside is not built for ARM
which python3
arch -x86_64 python3 -m venv virtualenvs/ab_25_pypi_rosetta
source virtualenvs/ab_25_pypi_rosetta
arch -x86_64 pip install arrow networkx numpy pandas pint pyperclip pyside2 salib seaborn PyQtWebEngine ecoinvent_interface bw_graph_tools bw_simapro_csv
arch -x86_64 pip install --pre bw2data bw2calc bw2io bw2analyzer
wget https://github.com/cauldron/activity-browser/archive/refs/heads/brightway25.zip
unzip brightway25.zip

cmutel

import bw2data, bw2io

BIOSPHERE_FLOW_DATABASE_LABELS = ["ecoinvent-3.9.1-biosphere"]

class Purolator(bw2io.package.BW2Package):
    @classmethod
    def _create_obj(cls, data):
        instance = data["class"](data["name"])

        if data["name"] not in instance._metadata:

cmutel

from flowmapper.transformation_mapping import prepare_transformations
from flowmapper import Flow
from flowmapper.utils import load_standard_transformations

our_transform = [{
    "update": [{
        "source":
        {
            "name": "2,4-D",
            "context": "Emissions to air/"

cmutel

{
  "source": {
    "name": "Zinc",
    "context": "water/groundwater, long-term"
  },
  "target": {
    "name": "Zinc, ion",
    "context": ["water", "ground-, long-term"]
  }
}