from typing import TYPE_CHECKING
from genno import Key, Quantity, quote
from . import files as exo
if TYPE_CHECKING:
from genno import Computer
[docs]def prepare_computer(c: "Computer") -> None:
"""Prepare `c` for calculating disutility inputs to LDV usage technologies."""
key = Key("disutility:n-cg-t-y")
# Interpolate to ensure all y::model are covered
k1 = c.add(
key + "1",
"interpolate",
key + "per vehicle",
# NB "y::coords" is not equivalent here; includes all y, not just y::model
quote(dict(y=c.get("y::model"))),
kwargs=dict(fill_value="extrapolate"),
)
# Divide disutility per vehicle by annual driving distance per vehicle → disutility
# per vehicle-km; convert to preferred units
# TODO add "cg" dimension to ldv activity
k2 = c.add(key + "2", "div", k1, exo.activity_ldv)
k3 = c.add(key + "3", "mul", k2, Quantity(1.0, units="vehicle / year"))
k4 = c.add(key + "4", "convert_units", k3, units="USD / km")
# Map (t, cg) to (t)
c.add("indexers::usage", "indexers_usage", "t::transport")
k5 = c.add(key + "5", "select", k4, "indexers::usage")
c.add(key, "rename_dims", k5, quote({"t_new": "t"}))
# Convert to message_ix-ready data
# - Use y for both year_vtg and year_act. This is because the usage pseudo-
# technologies are ephemeral: only existing for year_vtg == year_act.
common = dict(
commodity="disutility",
level="useful", # TODO Read this from the spec or template
mode="all",
time="year",
time_origin="year",
)
c.add(
"disutility::ixmp",
"as_message_df",
key,
quote("input"),
dict(node_loc="n", node_origin="n", technology="t", year_vtg="y", year_act="y"),
common,
)
# Add to the scenario
c.add("transport_data", __name__, key="disutility::ixmp")